CRIME IN THE UNITED
STATES
2009 THIRD EDITION
CRIME IN THE UNITED
STATES
2009 THIRD EDITION
Published in the United States of America by Bernan Press, a wholly owned subsidiary of The Rowman & Littlefield Publishing Group, Inc. 4501 Forbes Boulevard, Suite 200 Lanham, Maryland 20706 Bernan Press 800-865-3457
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CONTENTS SECTION I: SUMMARY OF THE UNIFORM CRIME REPORTING (UCR) PROGRAM . . . . . . . . . . . . . . . . . . . . . . . . . . 1 SECTION II: OFFENSES REPORTED . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Violent Crime Offenses..........................................................................................................................................................9 Murder ...........................................................................................................................................................................12 Forcible Rape ................................................................................................................................................................15 Robbery .........................................................................................................................................................................17 Aggravated Assault ......................................................................................................................................................19 Property Crime Offenses .....................................................................................................................................................21 Burglary .........................................................................................................................................................................23 Larceny-Theft................................................................................................................................................................25 Motor Vehicle Theft......................................................................................................................................................27 Arson..............................................................................................................................................................................29 Table 1. Crime in the United States, by Volume and Rate per 100,000 Inhabitants, 1988–2007 ......................................31 Table 1A. Crime in the United States, Percent Change in Volume and Rate per 100,000 Inhabitants for 2 Years, 5 Years, and 10 Years ..............................................................................................................................31 Table 2. Crime in the United States by Community Type, 2007...........................................................................................32 Table 3. Population and Offense Distribution, by Region, 2007..........................................................................................32 Table 4. Crime, by Region, Geographic Division, and State, 2006–2007.............................................................................33 Table 5. Crime, by State and Area, 2007 .................................................................................................................................41 Table 6. Crime, by Metropolitan Statistical Area, 2007 ........................................................................................................49 Table 7. Offense Analysis, 2003–2007......................................................................................................................................91 Table 8. Offenses Known to Law Enforcement, by State and City, 2007............................................................................92 Table 9. Offenses Known to Law Enforcement, by State and University and College, 2007.........................................211 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 ..........222 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007......................................................258 Table 12. Crime Trends, by Population Group, 2006–2007 ...................................................................................................289 Table 13. Crime Trends, by Suburban and Nonsuburban Cities by Population Group, 2006–2007 .................................290 Table 14. Crime Trends, by Metropolitan and Nonmetropolitan Counties by Population Group, 2006–2007...............291 Table 15. Crime Trends, by Population Group, 2006–2007 ...................................................................................................292 Table 16. Crime Per 100,000 Population, by Population Group, 2007.................................................................................294 Table 17. Crime Per 100,000 Population, by Suburban and Nonsuburban Cities, by Population Group, 2007..............295 Table 18. Crime Per 100,000 Population, by Metropolitan and Nonmetropolitan Counties, by Population Group, 2007 ......................................................................................................................................296 Table 19. Crime Per 100,000 Population, Selected Known Offenses, by Population Group, 2007...................................297 Table 20. Murder, by State and Type of Weapon, 2007 .........................................................................................................299 Table 21. Robbery, by State and Type of Weapon, 2007........................................................................................................300 Table 22. Aggravated Assault, by State, and Type of Weapon, 2007....................................................................................301 Table 23. Offense Analysis, by Classification and Percent Change, 2006–2007 .................................................................302 Table 24. Property Stolen and Recovered, by Type and Value, 2007...................................................................................302
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SECTION III: OFFENSES CLEARED . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303 Table 25. Percent of Offenses Cleared by Arrest or Exceptional Means, by Population Group, 2007 ...........................311 Table 26. Percent of Offenses Cleared by Arrest or Exceptional Means, by Geographic Division and Region, 2007.......................................................................................................................................................312 Table 27. Percent of Offenses Cleared by Arrest or Exceptional Means, by Population Group, 2007 ...........................313 Table 28. Number of Offenses Cleared by Arrest or Exceptional Means Involving Persons Under 18 Years of Age, by Population Group, 2007 .........................................................................................................................315 SECTION IV: PERSONS ARRESTED . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 Table 29. Estimated Number of Arrests, 2007........................................................................................................................325 Table 30. Number and Rate of Arrests, by Geographic Region, 2007 ................................................................................325 Table 31. Number and Rate of Arrests, by Population Group, 2007 ...................................................................................326 Table 32. Ten-Year Arrest Trends, 1998 and 2007 ..................................................................................................................328 Table 33. Ten-Year Arrest Trends, by Sex, 1998 and 2007.....................................................................................................329 Table 34. Five-Year Arrest Trends, by Age, 2003 and 2007 ...................................................................................................330 Table 35. Five-Year Arrest Trends, by Age and Sex, 2003 and 2007 ....................................................................................331 Table 36. Current Year Over Previous Year Arrest Trends, 2006–2007...............................................................................332 Table 37. Current Year Over Previous Year Arrest Trends, by Age and Sex, 2006–2007..................................................333 Table 38. Arrests, Distribution by Age, 2007 ..........................................................................................................................334 Table 39. Male Arrests, Distribution by Age, 2007 ................................................................................................................336 Table 40. Female Arrests, Distribution by Age, 2007 ............................................................................................................338 Table 41. Arrests of Persons Under 15, 18, 21, and 25 Years of Age, 2007..........................................................................340 Table 42. Arrests, Distribution by Sex, 2007...........................................................................................................................341 Table 43. Arrests, Distribution by Race, 2007 ........................................................................................................................342 Table 44. City Arrest Trends, 2006–2007 .................................................................................................................................344 Table 45. City Arrest Trends, by Age and Sex, 2006–2007 ...................................................................................................345 Table 46. City Arrests, Distribution by Age, 2007 .................................................................................................................346 Table 47. City Arrests of Persons Under 15, 18, 21, and 25 Years of Age, 2007 .................................................................348 Table 48. City Arrests, Distribution by Sex, 2007...................................................................................................................349 Table 49. City Arrests, Distribution by Race, 2007 ................................................................................................................350 Table 50. Arrest Trends for Metropolitan Counties, 2006–2007 ..........................................................................................352 Table 51. Arrest Trends for Metropolitan Counties, by Age and Sex, 2006–2007..............................................................353 Table 52. Arrests in Metropolitan Counties, Distribution by Age, 2007 .............................................................................354 Table 53. Arrests in Metropolitan Counties of Persons Under 15, 18, 21, and 25 Years of Age, 2007.............................356 Table 54. Arrests in Metropolitan Counties, Distribution by Sex, 2007..............................................................................357 Table 55. Arrests in Metropolitan Counties, Distribution by Race, 2007 ...........................................................................358 Table 56. Arrest Trends for Nonmetropolitan Counties, 2006–2007 ...................................................................................360 Table 57. Arrest Trends for Nonmetropolitan Counties, by Age and Sex, 2006–2007.......................................................361 Table 58. Arrests in Nonmetropolitan Counties, Distribution by Age, 2007 .....................................................................362 Table 59. Arrests in Nonmetropolitan Counties of Persons Under 15, 18, 21, and 25 Years of Age, 2007 .....................364 Table 60. Arrests in Nonmetropolitan Counties, Distribution by Sex, 2007.......................................................................365 Table 61. Arrests in Nonmetropolitan Counties, Distribution by Race, 2007 ....................................................................366 Table 62. Arrest Trends for Suburban Areas, 2006–2007 ......................................................................................................368 Table 63. Arrest Trends for Suburban Areas, by Age and Sex, 2006–2007 ........................................................................369
CONTENTS vii Table 64. Table 65. Table 66. Table 67. Table 68. Table 69.
Arrests in Suburban Areas, Distribution by Age, 2007 .......................................................................................370 Arrests in Suburban Areas of Persons Under 15, 18, 21, and 25 Years of Age, 2007 ........................................372 Arrests in Suburban Areas, Distribution by Sex, 2007 .........................................................................................373 Arrests in Suburban Areas, Distribution by Race, 2007.......................................................................................374 Police Disposition of Juvenile Offenders Taken into Custody, 2007...................................................................376 Total Arrests, by State, 2007.....................................................................................................................................377
SECTION V. LAW ENFORCEMENT PERSONNEL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Table 70. Full-Time Law Enforcement Employees, by Geographic Region and Division and Population Group, 2007............................................................................................................................................387 Table 71. Full-Time Law Enforcement Officers, by Geographic Region and Division and Population Group, 2007............................................................................................................................................389 Table 72. Full-Time Law Enforcement Employees, by Rate Range, 2007..........................................................................391 Table 73. Full-Time Law Enforcement Officers, by Rate Range, 2007 ...............................................................................391 Table 74. Full-Time Law Enforcement Employees, by Population Group, 2007 ...............................................................392 Table 75. Full-Time Civilian Law Enforcement Employees, by Population Group, 2007 ................................................392 Table 76. Full-Time State Law Enforcement Employees, by State, 2007............................................................................393 Table 77. Full-Time Law Enforcement Employees, by State, 2007 .....................................................................................395 Table 78. Full-Time Law Enforcement Employees, by City, 2007 .......................................................................................396 Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 .......................................466 Table 80. Full-Time Law Enforcement Employees, by Metropolitan and Nonmetropolitan County, 2007 ...................476 Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007..................................................497 SECTION VI. HATE CRIMES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 507 Table 82. Incidents, Offenses, Victims, and Known Offenders, by Bias Motivation, 2007.................................................511 Table 83. Incidents, Offenses, Victims, and Known Offenders, by Offense Type, 2007......................................................511 Table 84. Known Offender’s Race, by Offense Type, 2007 ...................................................................................................512 Table 85. Number of Offenses and Offense Type, by Bias Motivation, 2007 .....................................................................513 Table 86. Known Offender’s Race, by Bias Motivation, 2007 ..............................................................................................514 Table 87. Victim Type, by Offense Type, 2007 ........................................................................................................................514 Table 88. Number of Victims and Offense Type, by Bias Motivation, 2007........................................................................515 Table 89. Number of Incidents and Victim Type, by Bias Motivation, 2007 .......................................................................516 Table 90. Known Offender’s Race, 2007 .................................................................................................................................516 Table 91. Number of Incidents and Bias Motivation, by Location, 2007 ............................................................................516 Table 92. Offense Type by Participating State, 2007..............................................................................................................517 Table 93. Agency Hate Crime Reporting, by State, 2007......................................................................................................519 Table 94. Hate Crime Incidents per Bias Motivation and Quarter, by State and Agency, 2007 ......................................520 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 .....................................................553 APPENDIXES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649 Appendix I. Methodology ....................................................................................................................................................651 Appendix II. Definitions ........................................................................................................................................................654 Appendix III. Geographic Area Definitions.........................................................................................................................656 Appendix IV. The Nation’s Two Crime Measures................................................................................................................658 INDEX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661
SECTION I:
SUMMARY OF THE UNIFORM CRIME REPORTING (UCR) PROGRAM
SECTION I: SUMMARY OF THE UNIFORM CRIME REPORTING (UCR) PROGRAM 3
SUMMARY OF THE UNIFORM CRIME REPORTING (UCR) PROGRAM Bernan Press is proud to present its third edition of Crime in the United States. This title was formerly published by the Federal Bureau of Investigation (FBI), but is no longer available in printed form from the government. This edition contains final data from 2007, the latest data that are currently available.
The UCR Program publishes the statistics most commonly requested by data users. More information regarding the availability of UCR Program data is available by telephone at (304) 625-4995, by fax at (304) 625-5394, or by e-mail at
. E-mail data requests cannot be processed without the requester’s full name, mailing address, and contact telephone number.
This section examines the best way of using the publication’s data and discusses the history of the UCR Program, which collects the data used in Crime in the United States.
Variables Affecting Crime
About the UCR Program
Until data users examine all the variables that affect crime in a town, city, county, state, region, or college or university, they can make no meaningful comparisons.
The UCR Program’s primary objective is to generate reliable information for use in law enforcement administration, operation, and management; however, over the course of the program, its data have become one of the country’s leading social indicators. The UCR Program is a nationwide, cooperative statistical effort of more than 17,000 city, university and college, county, state, tribal, and federal law enforcement agencies who voluntarily report data on crimes brought to their attention. During 2007, the law enforcement agencies that were active in the UCR Program represented 94.6 percent of the total population.
Caution Against Ranking In each edition of Crime in the United States, many entities—including news media, tourism agencies, and other organizations with an interest in crime in the nation—use reported figures to compile rankings of cities and counties. However, these rankings are merely a quick choice made by that data user; they provide no insight into the many variables that mold the crime in a particular town, city, county, state, or region. Consequently, these rankings may lead to simplistic and/or incomplete analyses, which can create misleading perceptions and thus adversely affect cities and counties, along with their residents.
Note for Users Considering Other Characteristics of a Jurisdiction It is important for UCR data users to remember that the FBI’s primary objective is to generate a reliable set of crime statistics for use in law enforcement administration, operation, and management. The FBI does not provide a ranking of agencies; instead, it provides alphabetical tabulations of states, metropolitan statistical areas, cities with over 10,000 inhabitants, suburban and rural counties, and colleges and universities. Law enforcement officials use these data for their designed purposes. Additionally, the public relies on these data for information about the fluctuations in levels of crime from year to year, while criminologists, sociologists, legislators, city planners, media outlets, and other students of criminal justice use them for a variety of research and planning purposes. Since crime is a sociological phenomenon influenced by a variety of factors, the FBI discourages data users from ranking agencies and using the data as a measurement of the effectiveness of law enforcement. To ensure that data are uniformly reported, the FBI provides contributing law enforcement agencies with a handbook that explains how to classify and score offenses and provides uniform crime offense definitions. Acknowledging that offense definitions may vary from state to state, the FBI cautions agencies to report offenses according to the guidelines provided in the handbook, rather than by local or state statutes. Most agencies make a good faith effort to comply with established guidelines.
To assess criminality and law enforcement’s response from jurisdiction to jurisdiction, data users must consider many variables, some of which (despite having significant impact on crime) are not readily measurable or applicable among all locales. Geographic and demographic factors specific to each jurisdiction must be considered and applied in order to make an accurate and complete assessment of crime in that jurisdiction. Several sources of information are available to help the researcher explore the variables that affect crime in a particular locale. U.S. Census Bureau data, for example, can help the user better understand the makeup of a locale’s population. The transience of the population, its racial and ethnic makeup, and its composition by age and gender, educational levels, and prevalent family structures are all key factors in assessing and understanding crime. Local chambers of commerce, planning offices, and similar entities provide information regarding the economic and cultural makeup of cities and counties. Understanding a jurisdiction’s industrial/economic base, its dependence upon neighboring jurisdictions, its transportation system, its economic dependence on nonresidents (such as tourists and convention attendees), and its proximity to military installations, correctional institutions, and other types of facilities all contribute to accurately gauging and interpreting the crime known to and reported by law enforcement.
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The strength (including personnel and other resources) and aggressiveness of a jurisdiction’s law enforcement agency are also key factors in understanding the nature and extent of crime occurring in that area. Although information pertaining to the number of sworn and civilian employees can be found in this publication, it cannot be used alone as an assessment of the emphasis that a community places on enforcing the law. For example, one city may report more crime than another comparable city because its law enforcement agency identifies more offenses. Attitudes of citizens toward crime and their crime reporting practices— especially for minor offenses—also have an impact on the volume of crimes known to police.
Although many of the listed factors equally affect the crime of a particular area, the UCR Program makes no attempt to relate them to the data presented. The data user is therefore cautioned against comparing statistical data of individual reporting units from cities, counties, metropolitan areas, states, or colleges or universities solely on the basis on their population coverage or student enrollment. Until data users examine all the variables that affect crime in a town, city, county, state, region, or college or university, they can make no meaningful comparisons.
Make Valid Assessments of Crime
Since 1930, the FBI has administered the UCR Program; the agency continues to assess and monitor the nature and type of crime in the nation. Data users look to the UCR Program for various research and planning purposes.
It is essential for all data users to become as well educated as possible about understanding and quantifying the nature and extent of crime in the United States and in the more than 17,000 jurisdictions represented by law enforcement contributors to the UCR Program. Valid assessments are possible only with careful study and analysis of the various unique conditions that affect each local law enforcement jurisdiction. Some factors that are known to affect the volume and type of crime occurring from place to place are: • Population density and degree of urbanization • Variations in composition of population, particularly in the concentration of youth • Stability of the population with respect to residents’ mobility, commuting patterns, and transient factors • Modes of transportation and highway systems • Economic conditions, including median income, poverty level, and job availability • Cultural factors and educational, recreational, and religious characteristics • Family conditions, with respect to divorce and family cohesiveness • Climate • Effective strength of law enforcement agencies • Administrative and investigative emphases of law enforcement • Policies of other components of the criminal justice system (i.e., prosecutorial, judicial, correctional, and probational policies)
Historical Background
Recognizing a need for national crime statistics, the International Association of Chiefs of Police (IACP) formed the Committee on Uniform Crime Records in the 1920s to develop a system of uniform crime statistics. Establishing offenses known to law enforcement as the appropriate measure, the committee evaluated various crimes on the basis of their seriousness, frequency of occurrence, pervasiveness in all geographic areas of the country, and likelihood of being reported to law enforcement. After studying state criminal codes and making an evaluation of the record-keeping practices in use, the committee completed a plan for crime reporting that became the foundation of the UCR Program in 1929. Seven main offense classifications, known as Part I crimes, were chosen to gauge the state of crime in the nation. These seven offense classifications included the violent crimes of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault; also included were the property crimes of burglary, larceny-theft, and motor vehicle theft. By congressional mandate, arson was added as the eighth Part I offense category. Data collection for arson began in 1979. Agencies classify and score offenses according to a Hierarchy Rule (with the exception of justifiable homicide, motor vehicle theft, and arson) and report their data to the FBI. More information about the Hierarchy Rule is presented in Appendix I. During the early planning of the program, it was recognized that the differences among criminal codes precluded a mere aggregation of state statistics to arrive at a national total. Also, because of the variances in punishment for the same offenses in different states, no distinction between felony and misdemeanor crimes was possible. To avoid these problems and provide nationwide uniformity in crime reporting, standardized offense definitions were developed. Law enforcement agencies use these to submit data without regard for local statutes. The definitions used by the program can be found in Appendix II.
• Residents’ attitudes toward crime • Crime reporting practices of residents
In January 1930, 400 cities (representing 20 million inhabitants in 43 states) began participating in the UCR Program.
SECTION I: SUMMARY OF THE UNIFORM CRIME REPORTING (UCR) PROGRAM 5 Congress enacted Title 28, Section 534, of the United States Code that same year, which authorized the attorney general to gather crime information. The attorney general, in turn, designated the FBI to serve as the national clearinghouse for the collected crime data. Since then, data based on uniform classifications and procedures for reporting have been obtained annually from the nation’s law enforcement agencies. Advisory Groups Providing vital links between local law enforcement and the FBI for the UCR Program are the Criminal Justice Information Systems Committees of the IACP and the National Sheriffs’ Association (NSA). The IACP represents the thousands of police departments nationwide, as it has since the program began. The NSA encourages sheriffs throughout the country to participate fully in the program. Both committees serve the program in advisory capacities. In 1988, a Data Providers’ Advisory Policy Board was established. This board operated until 1993, when it combined with the National Crime Information Center Advisory Policy Board to form a single Advisory Policy Board (APB) to address all FBI criminal justice information services. The current APB works to ensure continuing emphasis on UCR-related issues. The Association of State Uniform Crime Reporting Programs (ASUCRP) focuses on UCR issues within individual state law enforcement associations and also promotes interest in the UCR Program. These organizations foster widespread and responsible use of uniform crime statistics and lend assistance to data contributors.
recommended changes. Phase two ended in early 1985 with the production of a report, Blueprint for the Future of the Uniform Crime Reporting Program. The study’s Steering Committee reviewed the draft report at a March 1985 meeting and made various recommendations for revision. The committee members, however, endorsed the report’s concepts. In April 1985, the phase two recommendations were presented at the eighth National UCR Conference. Various considerations for the final report were set forth, and the overall concept for the revised UCR Program was unanimously approved. The joint IACP/NSA Committee on UCR also issued a resolution endorsing the Blueprint. The final report, the Blueprint for the Future of the Uniform Crime Reporting Program, was released in the summer of 1985. It specifically outlined recommendations for an expanded, improved UCR Program to meet future informational needs. There were three recommended areas of enhancement to the UCR Program: • Offenses and arrests would be reported using an incidentbased system. • Data would be collected on two levels. Agencies in level one would report important details about those offenses comprising the Part I crimes, their victims, and arrestees. Level two would consist of law enforcement agencies covering populations of more than 100,000 and a sampling of smaller agencies that would collect expanded detail on all significant offenses. • A quality assurance program would be introduced.
Redesign of UCR Although UCR data collection was originally conceived as a tool for law enforcement administration, the data were widely used by other entities involved in various forms of social planning by the 1980s. Recognizing the need for more detailed crime statistics, law enforcement called for a thorough evaluative study to modernize the UCR Program. The FBI formulated a comprehensive three-phase redesign effort. The Bureau of Justice Statistics (BJS), agency in the Department of Justice responsible for funding criminal justice information projects, agreed to underwrite the first two phases. These phases were conducted by an independent contractor and structured to determine what, if any, changes should be made to the current program. The third phase would involve implementation of the changes identified. During the first phase, which began in 1982, the historical evolution of the UCR Program was examined. All aspects of the program, including its objectives and intended user audience, data items, reporting mechanisms, quality control issues, publications and user services, and relationships with other criminal justice data systems, were studied. Early in 1984, a conference on the future of UCR Program launched the second phase of the study that examined the program’s potential and concluded with a set of
To begin implementation, the FBI awarded a contract to develop new offense definitions and data elements for the redesigned system. The work involved (a) revising the definitions of certain Part I offenses, (b) identifying additional significant offenses to be reported, (c) refining definitions for both, and (d) developing data elements (incident details) for all UCR Program offenses in order to fulfill the requirements of incident-based reporting versus the current summary system. Concurrent with the preparation of the data elements, the FBI studied the various state systems to select an experimental site for implementing the redesigned program. In view of its long-standing incident-based program and wellestablished staff dedicated solely to UCR, the South Carolina Law Enforcement Division (SLED) was chosen. The SLED agreed to adapt its existing system to meet the requirements of the redesigned program and to collect data on both offenses and arrests relating to the newly defined offenses. Following the completion of the pilot project conducted by the SLED, the FBI produced a draft of guidelines for an enhanced UCR Program. Law enforcement executives from around the country were then invited to a conference where the guidelines were presented for final review.
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During the conference, three overall recommendations were passed without dissent: the establishment of a new, incident-based national crime reporting system; the FBI as the managing agency for the program; and the creation of an Advisory Policy Board composed of law enforcement executives to assist in directing and implementing the new program. Information about the redesigned UCR Program, call the National Incident-Based Reporting System, or NIBRS, is contained in several documents. The Data Collection Guidelines publication (August 2000) contains a system overview and descriptions of the offense codes, reports, data elements, and data values used in the system. The Error Message Manual (December 1999) contains designations of mandatory and optional data elements, data element edits, and error messages. The Data Submission Specifications publication is for the use of local and state systems personnel who are responsible for preparing magnetic media for submission to the FBI. The document is available on the FBI’s Web site at <www.fbi.gov/ucr/ucr.htm>. Another publication, Handbook for Acquiring a Records Management System (RMS) that is Compatible with NIBRS, is also available on that site. A NIBRS edition of the UCR Handbook was published in 1992 to assist law enforcement agency data contributors implementing the NIBRS within their departments. This document is geared toward familiarizing local and state law enforcement personnel with the definitions, policies, and procedures of the NIBRS. It does not contain the technical coding and data transmission requirements presented in the other NIBRS publications. The NIBRS collects data on each single incident and arrest within 22 crime categories. For each offense known to police within these categories, incident, victim, property, offender, and arrestee information are gathered when available. The goal of the redesign is to modernize crime information by collecting data currently maintained law enforcement records, making the enhanced UCR Program a by-product of current records systems while maintaining the integrity of the program’s long-running statistical series. Implementation of the NIBRS is occurring at a pace commensurate with the resources, abilities, and limitations of the contributing law enforcement agencies. The FBI was able to accept NIBRS data as of January 1989, and to date, the fol-
lowing 31 state programs have been certified for NIBRS participation: Arizona, Arkansas, Colorado, Connecticut, Delaware, Idaho, Iowa, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Michigan, Missouri, Montana, Nebraska, New Hampshire, North Dakota, Ohio, Oregon, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, and Wisconsin. Among those that submit NIBRS data, 8 states (Delaware, Idaho, Iowa, South Carolina, Tennessee, Virginia, West Virginia, and Vermont) submit all their data via the NIBRS. Suspension of the Crime Index and Modified Crime Index In June 2004, the Criminal Justice Information Services Advisory Policy Board (CJIS APB) approved discontinuing the use of the Crime Index in the UCR Program and its publications and directed the FBI publish a violent crime total and a property crime total until a more viable index is developed. The Crime Index was first published in Crime in the United States in 1960. Congress designated arson as a Part I offense in October 1978, and the UCR Program began collecting arson data in 1979. The FBI adopted the term Modified Crime Index to reflect the addition of arson as a Part I offense. The Modified Crime Index was the number of Crime Index offenses plus arson. However, in recent years, the Crime Index (and subsequently the Modified Crime Index) has not been a true indicator of the degree of criminality. The Crime Index was simply the title used for an aggregation of the seven main offense classifications (Part I offenses) for which data has been collected since the program’s implementation. The Crime Index and Modified Crime Index were driven upward by the offense with the highest number, creating a bias against a jurisdiction with a high number of larcenythefts but a low number of other serious crimes such as murder and forcible rape. Thus, the sheer volume of those offenses overshadows more serious but less frequently committed offenses. CJIS studied the appropriateness and usefulness of the Crime Index and Modified Crime Index for several years and brought the matter before many advisory groups affiliated with the UCR Program. The consensus was that the Crime Index and Modified Crime Index no longer served their original purpose, and that the UCR Program should suspend their use and develop a more robust index of crime.
SECTION II:
OFFENSES REPORTED VIOLENT CRIME • • • •
Murder Forcible Rape Robbery Aggravated Assault
PROPERTY CRIME • • • •
Burglary Larceny-Theft Motor Vehicle Theft Arson
SECTION II: OFFENSES REPORTED 9
VIOLENT CRIME Figure 2-1. Violent Crime, Offense Distribution, 2007
Aggravated assault 60.8%
Murder and nonnegligent manslaughter 1.2%
Robbery 31.6% Forcible rape 6.4%
Definition Violent crime consists of four offenses: murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. According to the Uniform Crime Reporting (UCR) Program, run by the Federal Bureau of Investigation (FBI), violent crimes involve either the use of force or the threat of force.
to 2007, the estimated volume of violent crime in the United States fell 0.7 percent. (The estimated number of property crimes fell 1.4 percent during the same period.) The 5-year and 10-year trend data showed that the estimated number of violent crimes increased 1.8 percent between 2003 and 2007 and decreased 8.2 percent between 1998 and 2007. The rate of violent crime declined in 2007 to 466.9 per 100,000 inhabitants after increasing in 2005 and 2006. (Tables 1 and 1A)
Data Collection The data presented in Crime in the United States reflect the Hierarchy Rule, which counts only the most serious offense in a multiple-offense criminal incident. In descending order of severity, the violent crimes are murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault; these are followed by the property crimes of burglary, larceny-theft, and motor vehicle theft. More information on the expanded violent crime tables (which are available online but not included in this publication) can be found in Appendix I. National Volume, Trends, and Rate In 2007, an estimated 1,408,337 violent crimes occurred in the United States.Aggravated assault accounted for 60.8 percent of these crimes, followed by robbery (31.6 percent), forcible rape (6.4 percent), and murder (1.2 percent). (Table 1) The UCR Program reports data in 2-year, 5-year, and 10year increments to formulate trend information. From 2006
An examination of the volume of individual offenses within the violent crime category showed that in a year-to-year comparison of data from 2006 and 2007, the estimated number of aggravated assaults decreased 0.6 percent, the estimated number of robberies decreased 0.5 percent, and the estimated number of murders decreased 0.6 percent. Forcible rape showed its third consecutive decline, by dropping 2.5 percent from 2006 to 2007. (Tables 1 and 1A) Among each of the four violent crimes categories, aggravated assault had the highest rate of occurrence. There were an estimated 283.8 aggravated assaults, 147.6 robberies, 30.0 forcible rapes, and 5.6 murders per 100,000 inhabitants in the United States in 2007. (Table 1) Regional Offense Trends and Rate The UCR Program divides the United States into four regions: the Northeast, the South, the Midwest, and the West. (More details concerning geographic regions are provided in Appendix III.) The population distribution of the
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CRIME IN THE UNITED STATES (BERNAN PRESS)
regions is provided in Table 3, and the estimated volume and rate of violent crime by region can be found in Table 4.
decreased 3.2 percent, and the estimated number of murders declined 2.5 percent from 2006 to 2007, while the estimated number of forcible rapes fell 3.6 percent. (Table 4)
The Northeast The Northeast accounted for an estimated 18.1 percent of the nation’s population in 2007 and an estimated 14.5 percent of its violent crimes. (Table 3) Of the four regions, the Northeast had the largest decrease (down 5.1 percent) in the estimated number of violent crimes from 2006 to 2007 The region’s population declined by 0.1 percent during this period. In the Northeast, the estimated number of robberies decreased 9.0 percent and the estimated number of murders decreased 7.9 percent, while the estimated number of aggravated assaults decreased 2.4 percent and the estimated number of forcible rapes decreased 4.3 percent. (Table 4)
The rate of violent crime per 100,000 inhabitants in the Midwest declined 2.0 percent in 2007. There were 244.4 aggravated assaults, 127.5 robberies, 34.4 forcible rapes, and 4.9 murders per 100,000 inhabitants in the region in 2007. (Table 4) The South
The Midwest
The South, the nation’s most populous region, accounted for an estimated 36.6 percent of the nation’s population in 2007. An estimated 43.1 percent of the nation’s violent crimes took place in this region in 2007. (Table 3) Violent crime in the South increased 1.6 percent from 2006 to 2007, and the region’s population grew 1.3 percent during this period. The estimated number of aggravated assaults increased 0.3 percent from 2006 to 2007, while the estimated number of robberies increased 4.9 percent and the estimated number of murders grew 5.3 percent. The estimated number of forcible rapes showed the region’s only decline, dropping 1.7 percent from 2006 to 2007. (Table 4)
With an estimated 22.0 percent of the total population of the United States, the Midwest accounted for 19.4 percent of the nation’s estimated number of violent crimes in 2007. (Table 3) The region had a 1.7 percent decrease in violent crime and a 0.3 percent growth in population from 2006 to 2007. The estimated number of aggravated assaults in the Midwest decreased 0.6 percent, the estimated number of robberies
The estimated rate of violent crime in the South was 549.2 incidents per 100,000 inhabitants in 2007. There were 347.8 aggravated assaults, 162.7 robberies, 31.8 forcible rapes, and 7.0 murders per 100,000 inhabitants. The forcible rape and aggravated assault rates both showed declines between 2006 and 2007, dropping 2.9 percent and 0.9 percent, respectively. (Table 4)
In 2007, there were an estimated 372.4 violent crimes per 100,000 inhabitants in the Northeast, a 5.0 percent decrease from 2006 figure. By offense, rates were estimated at 210.7 aggravated assaults, 137.8 robberies, 19.8 forcible rapes, and 4.1 murders per 100,000 inhabitants. (Table 4)
Figure 2-2. Percent Change in Violent Crime, by Type, 1998–2007 0
Percent
-4
-8
-12
-16 Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Type of crime
Robbery
Aggravated assault
SECTION II: OFFENSES REPORTED 11 The West
Population Groups: Trends and Rates
With an estimated 23.2 percent of the nation’s population in 2007, the West accounted for an estimated 23.1 percent of the nation’s violent crime. (Table 3) Violent crime decreased 1.0 percent in this region from 2006 to 2007, while its population grew 1.1 percent. All four violent offense categories decreased in number from 2006 to 2007: murder declined 5.6 percent, forcible rape dropped 1.8 percent, aggravated assault fell 1.2 percent, and robbery decreased by 0.4 percent.
In the UCR Program, data are also aggregated into population groups; these groups are described in more detail in Appendix III. The nation’s cities had an overall decrease of 1.3 percent in the estimated number of violent crimes from 2006 to 2007. By city population group, cities with over 250,000 inhabitants had the largest percentage decline in the estimated number of violent crimes (2.6 percent), while cities with 10,000 to 24,999 inhabitants were the only group who showed an increase in violent crime (2.4 percent). (Table 12)
The estimated rate of violent crime in the West in 2007 was 463.7 incidents per 100,000 inhabitants, a 2.1 percent decrease from the 2006 rate. There were 277.1 aggravated assaults, 150.4 robberies, 30.9 forcible rapes, and 5.3 murders per 100,000 inhabitants in this region in 2007. (Table 4) Community Types The UCR Program aggregates crime data into three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties outside MSAs. Appendix III provides additional information regarding community types. Just over 83 percent of the nation’s population lived in MSAs in 2007. Residents of cities outside MSAs accounted for 6.7 percent of the country’s population, while 10.1 percent of the population lived in nonmetropolitan counties. (Table 2) An examination of the volume of violent crime by community type showed that 89.8 percent of the estimated number of violent crimes in the United States occurred in MSAs, 5.6 percent occurred in cities outside MSAs, and 4.5 percent occurred in nonmetropolitan counties. By community type, the violent crime rates were estimated at 504.0 incidents per 100,000 inhabitants in MSAs, 395.0 incidents per 100,000 inhabitants in cities outside MSAs, and 209.3 incidents per 100,000 inhabitants in nonmetropolitan counties. (Table 2)
The law enforcement agencies in the nation’s cities collectively reported a rate of 570.5 violent crimes per 100,000 inhabitants in 2007. Law enforcement agencies in cities subset of 500,000 to 999,999 inhabitants reported the highest violent crime rate, with 989.3 violent crimes per 100,000 inhabitants; the violent crime rate for all cities with 250,000 or more inhabitants was 893.8. Agencies in cities with 10,000 to 24,999 inhabitants reported the lowest violent crime rate (319.5 incidents per 100,000 inhabitants). Law enforcement agencies in the nation’s metropolitan counties reported a collective violent crime rate of 338.4 per 100,000 inhabitants, while agencies in nonmetropolitan counties reported a collective rate of 218.4 violent crimes per 100,000 inhabitants. (Table 16) Weapons Distribution The UCR Program collects weapons data for murder, robbery, and aggravated assault offenses. In 2007, 68.0 percent of murder weapons were firearms, 14.1 percent were other dangerous weapons, 12.1 percent were knives or cutting instruments, and 5.8 percent were personal weapons such as hands, fists, or feet. Offenders used firearms in 42.8 percent of robberies and 21.4 percent of aggravated assaults. (Expanded Homicide Table 6, Robbery Table 3, and Aggravated Assault Table)
12
CRIME IN THE UNITED STATES (BERNAN PRESS)
Figure 2-3. Number of Murders and Murder Rate, 1988–2007 30,000
8 20,000 6
Number
Rate per 100,000 inhabitants
10
4 10,000 2
0 1988
0 1993
1998
2003
2007
Year Rate
Number
MURDER
mate. Murder accounted for 1.2 percent of the overall estimated number of violent crimes in 2007. (Tables 1 and 1A)
Definition
The 2007 data yielded an estimated rate of 5.6 murders per 100,000 inhabitants, a small decline from 5.7 murders per 100,000 inhabitants the previous year. (Tables 1 and 1A)
The UCR Program defines murder and nonnegligent manslaughter as the willful (nonnegligent) killing of one human being by another. The classification of this offense is based solely on police investigation, rather than on the determination of a court, medical examiner, coroner, jury, or other judicial body. The UCR Program does not include the following situations under this offense classification: deaths caused by negligence, suicide, or accident; justifiable homicides; and attempts to murder or assaults to murder, which are considered aggravated assaults.
Regional Offense Trends and Rates The UCR Program divides the United States into four regions: the Northeast, the South, the Midwest, and the West. (More details concerning geographic regions are provided in Appendix III.) In 2007, the estimated number of murders decreased in three of the four regions. The South, with an increase of 5.3 percent, is the only region that experienced an increase.
Data Collection The Northeast The UCR Program’s Supplementary Homicide Report (SHR) provides information about murder victims and offenders by age, sex, and race; the types of weapons used in the murders; the relationships of the victims to the offenders; and the circumstances surrounding the incident. Law enforcement agencies are asked to complete an SHR for each murder reported to the UCR Program. National Volume, Trends, and Rates The UCR Program’s homicide data showed a decline in the number of murders in 2007. An estimated 16,929 persons were murdered nationwide in 2007, a decrease of 0.6 percent from the 2006 estimate. An analysis of 5-year and 10year trend data showed the number of murders increased 2.4 percent during the 2003–2007 (5-year) period, but decreased 0.3 percent from the 1998–2007 (10-year) esti-
In 2007, the Northeast accounted for an estimated 18.1 percent of the nation’s population and 13.4 percent of its estimated number of murders. With an estimated 2,261 murders, the Northeast saw a 7.9 percent decrease compared with the 2006 figure. The region’s population declined 0.1 percent from 2006 to 2007. The offense rate for the Northeast was 4.1 murders per 100,000 inhabitants, down from 4.5 murders per 100,000 inhabitants in 2006. (Tables 3 and 4) The Midwest The Midwest accounted for an estimated 22.0 percent of the nation’s total population (the region’s population having grown 0.3 percent from 2006 to 2007) and 19.4 percent of the country’s estimated number of murders in 2007.
SECTION II: OFFENSES REPORTED 13 There were an estimated 3,225 murders in the Midwest in 2007, a 2.5 percent decrease from the estimated figure for 2006. The Midwest experienced a rate of 4.9 murders per 100,000 inhabitants in 2007, slightly lower than in 2006. (Tables 3 and 4) The South The South, the nation’s most populous region, experienced a 1.3 percent growth in population from 2006 to 2007. The region accounted for an estimated 36.6 percent of the nation’s population in 2007 and the nation’s highest proportion of murders (45.8 percent). The estimated 7,759 murders represented a 5.3 percent increase in the estimated number of murders from 2006 to 2007. The region’s estimated rate of 7.0 murders per 100,000 inhabitants represented an increase of 4.0 percent from the estimated rate for 2006. (Tables 3 and 4)
249,999 inhabitants, 50,000 to 99,999 inhabitants, 25,000 to 49,999 inhabitants, and 10,000 to 24,999 inhabitants all experienced increases in homicides from 2006 to 2007. The city group of 50,000 to 99,999 inhabitants had the largest increase in murders (3.4 percent). Metropolitan counties experienced an increase in homicides of 0.4 percent from 2006 to 2007, while nonmetropolitan counties experienced a decrease of 0.7 percent. (Table 12) In 2007, cities collectively had a rate of 6.8 murders per 100,000 inhabitants. Cities with 500,000 to 999,999 inhabitants had the highest murder rate (13.7 murders per 100,000 inhabitants) while cities with fewer than 10,000 inhabitants had the lowest murder rate (2.6 murders per 100,000 inhabitants). The homicide rates for metropolitan and nonmetropolitan counties were 4.2 and 3.3 per 100,000 inhabitants, respectively. Suburban areas had a homicide rate of 3.4 per 100,000 inhabitants. (Table 16)
The West
Supplementary Homicide Reports
The West accounted for an estimated 23.2 percent of the nation’s population and 21.8 percent of the estimated number of murders in 2007. Its population grew 1.1 percent from 2006 to 2007. The West experienced an estimated 3,684 murders, a 5.6 percent decrease from the 2006 estimate. The region’s murder rate was 5.3 per 100,000 inhabitants, a 6.6 percent decrease from the 2006 rate. (Tables 3 and 4)
The UCR Program’s Supplementary Homicide Report (SHR) provides information regarding the age, sex, and race of both the murder victim and the offender; the type of weapon used in the offense; the relationship of the victim to the offender; and the circumstances surrounding the offense. Of the estimated 16,929 murders that were committed in the United States in 2007, law enforcement agencies contributed data to the UCR Program through SHRs for 14,831 of the incidents. More information on these reports and the expanded homicide tables (which are available online but not included in this publication) can be found in Appendix I. Highlights from these tables have been included below.
Community Types The UCR Program aggregates data for three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties outside MSAs. (See Appendix III for definitions.) In 2007, MSAs accounted for 83.2 percent of the nation’s population and 89.9 percent of the estimated total number of murders. With 15,224 estimated homicides, MSAs experienced a rate of 6.1 murders per 100,000 inhabitants in 2007. Cities outside MSAs accounted for 6.7 percent of the U.S. population and (with an estimated 752 murders) accounted for 4.4 percent of the estimated murders in the nation. The murder rate for cities outside MSAs was 3.7 per 100,000 inhabitants. (Table 2) In 2007, 10.1 percent of the nation’s population lived in nonmetropolitan counties outside MSAs. An estimated 953 murders took place in these counties, accounting for 5.6 percent of the nation’s estimated total. The murder rate for nonmetropolitan counties outside MSAs was 3.1 murders per 100,000 inhabitants. (Table 2) Population Groups: Trends and Rates The UCR Program uses the following population group designations in its data presentations: cities (grouped according to population size) and counties (classified as either metropolitan or nonmetropolitan). A breakdown of these classifications is provided in Appendix III. From 2006 to 2007, the nation’s cities experienced a 2.2 percent decrease in homicides. The city groups with 100,000 to
Victims Based on 2007 supplemental homicide data (where the ages, sexes, or races of the murder victims were known), 87.7 percent of victims were over 18 years of age, 10.5 percent were under 18 years of age, and the age of 1.8 percent of the victims was unknown. Black victims accounted for 50.1 percent of the victims for whom race was known, followed by White victims (47.6 percent). Male victims made up 78.5 percent of victims for whom sex was known. (Expanded Homicide Tables 1 and 2) Offenders For murders where the gender of the offender was known, 90.1 percent were male. Black offenders accounted for 53.9 percent of offenders for whom race was known, followed by White offenders (44.0 percent) and offenders of other races (2.0 percent). Concerning single victim/single offender incidents, 82.5 percent of White victims were murdered by White offenders and 91.9 percent of Black victims were murdered by Black offenders. In incidents where the age of the offender was known, 93.6 percent of victims were killed by adults. (Expanded Homicide Tables 3, 4, and 5)
14
CRIME IN THE UNITED STATES (BERNAN PRESS)
Victim-Offender Relationships For incidents in which the victim-offender relationship was known, 22.2 percent of victims were slain by family members, 24.1 percent were murdered by strangers, and 53.7 percent were killed by other persons such as acquaintances, neighbors, or friends. The 2007 data also showed that among female victims for whom their relationships with their offenders were known, 32.9 percent were murdered by their husbands or boyfriends. (Expanded Homicide Tables 2 and 9)
ing romantic triangles), and 23.3 percent were killed in conjunction with a felony (i.e., the victim was slain while being raped, robbed, etc.). Circumstances were unknown for 36.9 percent of reported homicides. (Expanded Homicide Table 9) Justifiable Homicide Certain willful killings must be reported as justifiable, or excusable, homicide. In the UCR Program, justifiable homicide is defined as, and is limited to, the following:
Weapons For incidents in 2007 in which the murder weapon was specified, 72.9 percent involved the use of firearms. Handguns made up 87.8 percent of the firearms specified, 5.4 percent involved shotguns, 5.4 percent involved rifles, and 1.4 percent involved other guns. Knives or cutting instruments were used in 13.0 percent of incidents in which the murder weapon was specified; personal weapons such as hands, fist, feet, etc. were used in 6.2 percent of murders where the weapon was specified. Blunt objects, such as clubs and hammers, were used in 4.7 percent of homicides where the weapon was specified. (Expanded Homicide Table 7) Circumstances For murders for which circumstances were known, 42.1 percent of the victims were slain during arguments (includ-
• The killing of a felon by a peace officer in the line of duty. • The killing of a felon, during the commission of a felony, by a private citizen. Because these killings are determined by law enforcement investigation to be justifiable, they are tabulated separately from murder and nonnegligent manslaughter. During 2007, law enforcement agencies provided supplemental data for 645 justifiable homicides. A breakdown of those figures revealed that law enforcement officers justifiably killed 391 felons and private citizens justifiably killed 254 felons. Expanded Homicide Tables 13 and 14 provide further details about justifiable homicide but are not published in this text; see Appendix I for more information.
SECTION II: OFFENSES REPORTED 15
Figure 2-4. Number of Forcible Rapes and Rape Rate, 1988–2007 50
120,000
100,000
40
Rate
60,000 20
Number
80,000 30
40,000 10
20,000
0
0 1988
1993
1998 Rate per 100,000 inhabitants
FORCIBLE RAPE Definition Forcible rape is the carnal knowledge of a female forcibly and against her will. Assaults and attempts to commit rape by force or threat of force are included; however, statutory rape (without force) and other sex offenses are excluded. Data Collection The UCR Program counts one offense for each female victim of a forcible rape, attempted forcible rape, or assault with intent to rape, regardless of the victim’s age. A rape by force involving a female victim and a familial offender is counted as a forcible rape not an act of incest. The Program collects only arrest statistics concerning all other crimes of a sexual nature. The offense of statutory rape, in which no force is used but the female victim is under the age of consent, is included in the arrest total for the sex offenses category. Sexual attacks on males are counted as aggravated assaults or sex offenses, depending on the circumstances and the extent of any injuries.
2003
2007
Number
percent decrease from the 2006 figure and it is the third consecutive year that the number of rapes have declined. The data also showed a 6.0 percent decrease from the 1997 estimated figure. (Tables 1 and 1A) In preparing rate tables, the UCR Program’s computer system automatically calculates offense rates per 100,000 inhabitants for all Part I crimes, which include murder and nonnegligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft, and arson. (See Appendix II for more information.) Thus, the rate data are based upon the total U.S. population. However, for this overview, the 2007 rate of female rapes has been recalculated based upon the national female population provided by the Census Bureau. The recalculation resulted in a rate of 59.1 rape victims per 100,000 females, a 3.0 percent decrease when compared with the 2006 estimated rate of 60.9. Of the forcible rapes known to law enforcement agencies in 2007, rapes by force made up 92.2 percent of reported rape offenses, and assaults to rape attempts accounted for 7.8 percent of reported rape offenses. (Tables 1 and 19) Regional Offense Trends and Rates
For this overview only, the FBI deviated from standard procedure and manually calculated the 2007 rate of female rapes based upon the national female population provided by the U.S. Census Bureau. National Volume, Trends, and Rates During 2007, approximately 90,427 females nationwide were victims of forcible rape. This estimate represents a 2.5
The UCR Program divides the United States into four regions: the Northeast, the South, the Midwest, and the West. (More details concerning geographic regions are provided in Appendix III.) Regional analysis offers estimates of the volume of female rapes, the percent change from the previous year’s estimate, and the rate of rape per 100,000 female inhabitants in each region. (Tables 3 and 4)
16
CRIME IN THE UNITED STATES (BERNAN PRESS)
The Northeast The Northeast made up 18.1 percent of the U.S. population in 2007 and experienced a 0.1 percent decline in population from 2006 to 2007. In 2007, an estimated 10,821 forcible rapes of females—12.0 percent of the national total— occurred in the Northeast. This was a decline of 4.3 percent from the 2006 estimated figure. (Tables 3 and 4) The Midwest The Midwest, which accounted for 22.0 percent of the U.S. population in 2007, experienced a 0.3 percent increase in population from 2006 to 2007. Over one-quarter (25.3 percent) of all forcible rapes in the nation occurred in the Midwest in 2007. The 2007 estimate (22,863 forcible rapes) represented a decline of 3.6 percent from the 2006 estimate. (Tables 3 and 4)
forcible rapes with an estimated 21,670 offenses. The West saw a 1.8 percent decline in forcible rapes from 2006 to 2007. (Tables 3 and 4) Community Types Using the U.S. Office of Management and Budget’s designations, the UCR Program aggregates crime data by type of community in which the offenses occur: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties outside MSAs. (Appendix III provides more detailed information about community types.) MSAs In 2007, MSAs accounted for 83.2 percent of the nation’s population and 83.1 percent of the nation’s estimated number of forcible rapes. An estimated 75,114 females were forcibly raped in metropolitan areas. (Table 2)
The South Cities Outside MSAs The South, the nation’s most populous region, accounted for an estimated 36.6 percent of the nation’s population in 2007 (and experienced a population growth of 1.3 percent from 2006 to 2007); the region also accounted for an estimated 38.8 percent of the nation’s estimated number of forcible rapes. There were an estimated 35,073 female victims of forcible rape in the South in 2007, down slightly from 35,667 in 2006. (Tables 3 and 4) The West The West, which experienced a population growth of 1.1 percent from 2006 to 2007, accounted for 23.2 percent of the nation’s population in 2007. The region also accounted for 24.0 percent of the nation’s total number of estimated
Cities outside MSAs are mostly incorporated areas served by city law enforcement agencies. Though accounting for only 6.7 percent of the U.S. population in 2007, cities outside MSAs accounted for 8.5 percent of the nation’s estimated forcible rapes (7,695 offenses). (Table 2) Nonmetropolitan Counties In 2007, approximately 10.1 percent of the nation’s population lived in nonmetropolitan counties outside MSAs (counties made up of mostly nonincorporated areas served by noncity law enforcement agencies). Collectively, these areas had an estimated 7,618 forcible rapes, representing 8.4 percent of the nation’s estimated total. (Table 2)
SECTION II: OFFENSES REPORTED 17
Figure 2-5. Robberies, by Location, 2007
Gas or service station 2.6% Bank 2.1%
Convenience store 5.6% Commercial house 13.9%
Street/ highway 43.8%
Residence 15.2%
Miscellaneous 16.8%
ROBBERY
from 151.2 robberies per 100,000 inhabitants in 2006. (Table 4)
Definition
The Midwest
The UCR Program defines robbery as the taking or attempting to take anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or by putting the victim in fear.
The Midwest accounted for 22.0 percent of the total population of the United States, and 19.0 percent of its estimated number of robberies, in 2007. The region experienced a 0.3 percent growth in population from 2006 to 2007. (Table 3) There were an estimated 84,674 robberies in the Midwest in 2007, a 3.2 percent decrease from the estimated figure from 2006. The region’s robbery rate was 127.5 robberies per 100,000 inhabitants in 2007, a 3.4 percent decrease from the estimated rate for 2006. (Table 4)
National Volume, Trends, and Rates While the number of robberies nationwide decreased in 2007, there has been a 7.5 percent increase in robberies since 2003. Estimated offenses totaled 445,125 in 2007, a 0.5 percent decrease from 2006. The rate for robberies was 147.6 per 100,000 inhabitants. Regional Offense Trends and Rates The UCR Program divides the United States into four regions: the Northeast, the South, the Midwest, and the West. (More details concerning geographic regions are provided in Appendix III.) The Northeast The Northeast, with an estimated 18.1 percent of the nation’s population in 2007 (and a 0.1 percent decline in population from 2006 to 2007), accounted for 16.9 percent of its estimated number of robberies. (Table 3) The estimated number of robberies dropped 9.0 percent from 2006, the largest decrease in any region. The rate for this region was 137.8 robberies per 100,000 inhabitants down
The South The South, the nation’s most highly populated region, experienced a 1.3 percent growth in population from 2006 to 2007; in 2007, it accounted for an estimated 36.6 percent of the nation’s population and 40.4 percent of the nation’s estimated number of robberies. (Table 3) This figure represented a 4.9 percent increase from the 2006 figure. The South was the only region that experienced an increase in robberies from 2006 to 2007. The region experienced the highest rate of robberies per 100,000 inhabitants (162.7), a 3.6 percent increase from the 2006 rate. (Table 4) The West The West, having experienced a population growth of 1.1 percent from 2006 to 2007, was home to an estimated 23.2 percent of the nation’s population and accounted for 23.7 percent of the nation’s estimated number of robberies in 2007. (Table 3) The estimated number of robberies in the
18
CRIME IN THE UNITED STATES (BERNAN PRESS)
region in 2007 represented a 0.4 percent decrease from the 2006 figure. The rate of robberies per 100,000 inhabitants in the West was 150.4, a 1.4 percent increase from the 2006 rate. This was the second highest rate among the four regions. (Table 4) Community Types The UCR Program aggregates data for three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties outside MSAs. MSAs include a central city or urbanized area with at least 50,000 inhabitants, as well as the county that contains the principal city and other adjacent counties that have, as defined by the U.S. Office of Management and Budget, a high degree of social and economic integration as measured through commuting. Cities outside MSAs are mostly incorporated areas, and nonmetropolitan counties are made up of mostly unincorporated areas served by noncity law enforcement. In 2007, MSAs were home to an estimated 83.2 percent of the nation’s population, and 96.1 percent of the nation’s estimated number of robberies took place in these areas. Robberies in MSAs occurred at a rate of 170.4 per 100,000 inhabitants. Cities outside MSAs accounted for 6.7 percent of the U.S. population and accounted for 2.8 percent of the estimated number of robberies in the nation. The robbery rate for cities outside MSAs was 61.9 per 100,000 inhabitants. Nonmetropolitan counties made up 10.1 percent of the nation’s estimated population and 1.1 percent of the nation’s estimated robberies, at a rate of 16.3 robberies per 100,000 inhabitants. (Table 2) Population Groups: Trends and Rates The national UCR Program aggregates data by various population groups, which include cities, metropolitan counties, and nonmetropolitan counties. A definition of these groups can be found in Appendix III. All of the population groups except cities with 250,000 inhabitants and over experienced increases in the estimated number of robberies in 2007, compared with the figure for 2006. Robberies in cities as a whole decreased 0.7 percent. Among the population groups labeled city, those cities with 10,000 to 24,999 inhabitants had the greatest increase in the number of robberies (2.7 percent), while cities with 1,000,000 or more inhabitants had the largest decline in the number of robberies (2.9 percent). Nonmetropolitan counties had a 2.4 percent increase in the estimated number of robberies, and metropolitan counties showed a 2.0 percent increase. The number of robberies in suburban areas increased 1,6 percent. (Table 12) Among the population groups, the nation’s cities collectively had a rate of 200.7 robberies per 100,000 inhabitants. Of the population groups and subsets designated city, those
with 500,000 to 999,999 inhabitants had the highest rate (382.1 per 100,000 inhabitants), while those with fewer than 10,000 inhabitants had the lowest rate (56.1 per 100,000 inhabitants) of robberies. Of the two county groups, metropolitan counties had a rate of 79.7 robberies per 100,000 inhabitants, while nonmetropolitan counties had a rate of 16.4 robberies per 100,000 inhabitants. Suburban areas had a robbery rate of 80.1. (Table 16) Offense Analysis The UCR Program collects supplemental data about robberies to document the use of weapons, the dollar loss associated with the offense, and the location types. Robbery by Weapon An examination of the 2007 supplemental data regarding the type of weapons offenders used in the commission of the robbery revealed that assailants relied on strong-arm tactics in 39.9 percent of all robberies; they employed firearms in 42.8 percent of robberies. Offenders used knives or other cutting instruments in 8.3 percent of these crimes. In the remainder of the robberies, the offenders used other types of weapons. (Expanded Robbery Table 3) Loss by Dollar Value Based on the supplemental reports from law enforcement agencies, robberies cost victims, collectively, an estimated $588 million in 2007. (Tables 1 and 23) The average loss per robbery was $1,321. Average dollar losses were the highest for banks, which suffered an average loss of $4,201 per offense. Gas and service stations lost an average $1,097 per offense. Commercial houses, which include supermarkets, department stores, and restaurants, had average losses of $1,499. An average of $1,516 was taken from residences. An average of $800 was lost in each offense against convenience stores. (Table 23) Robbery Trends by Location Among the location types, bank robberies decreased 5.1 percent from 2006 to 2007. Robberies that occurred at residences increased 4.7 percent, and those at commercial houses rose 0.9 percent. The number of robberies on streets and highways decreased 0.2 percent, and robberies at convenience stores increased 0.6 percent. (Table 23) Percent Distribution By location type, the greatest proportion of robberies in 2007 occurred on streets and highways (43.8 percent). Robbers targeted commercial houses in 13.9 percent of offenses and residences in 15.2 percent of offenses. Convenience stores accounted for 5.6 percent of robberies, followed by gas and service stations (2.6 percent) and banks (2.1 percent). (Table 23)
SECTION II: OFFENSES REPORTED 19
Figure 2-6. Percent Change in the Number of Aggravated Assaults, 1989–2007 12.0
Percent
8.0
4.0
0.0
-4.0
-8.0 1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
Year
AGGRAVATED ASSAULT
trend continued in 2007 with aggravated assault accounting for 60.8 percent of all violent crime. (Table 1)
Definition
Regional Offense Trends and Rates
The UCR Program defines aggravated assault as an unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault is usually accompanied by the use of a weapon or by other means likely to produce death or great bodily harm. Attempted aggravated assaults that involve the display or threat of a gun, knife, or other weapon are included in this crime category because serious personal injury would likely result if these assaults were completed. When aggravated assault and larceny-theft occur together, the offense falls under the category of robbery.
The UCR Program divides the United States into four regions: the Northeast, the South, the Midwest, and the West. (More details concerning geographic regions are provided in Appendix III.). The South was the only region that experienced an increase in the number number of aggravated assaults from 2006 to 2007. (Table 4)
National Volume, Trends, and Rates In 2007, estimated occurrences of aggravated assaults totaled 855,856, a 0.6 percent decrease from the 2006 figure. The 5-year and 10-year trend data show a 0.4 percent decrease and a 12.4 percent decrease, respectively. The 2007 data also show a decrease for the second consecutive in the rate of aggravated assault per 100,000 U.S. inhabitants. This rate, estimated at 283.8, represents a 1.3 percent decrease from the 2006 rate. However, it also represents a 3.9 percent decrease from the 2003 (5-year trend) rate and a 21.5 percent decrease from the 1998 (10-year trend) rate. (Tables 1 and 1A) Among the four types of violent crime offenses (murder, forcible rape, robbery, and aggravated assault), aggravated assault typically has the highest rate of occurrence. This
The Northeast The region with the smallest proportion of the nation’s population (an estimated 18.1 percent in 2007, representing a 0.1 percent population decline from 2006 to 2007) also accounted for the smallest proportion of the nation’s estimated number of aggravated assaults (13.5 percent). (Table 3) Occurrences of aggravated assault decreased 2.4 percent from 2006 to 2007, down to an estimated 115,224. The region also had the lowest aggravated assault rate in the nation, at 210.7 incidents per 100,000 inhabitants, a 2.3 percent decline from the 2006 rate. (Table 4) The Midwest With 22.0 percent of the nation’s total population in 2007— and with a 0.3 percent growth in population from 2006 to 2007—the Midwest accounted for approximately 19.0 percent of the nation’s estimated number of aggravated assaults. (Table 3) Occurrences of this offense decreased 0.6 percent from the estimated total for 2006, declining to an estimated 162,256 incidents. The region’s aggravated assault
20
CRIME IN THE UNITED STATES (BERNAN PRESS)
rate, at 244.4 incidents per 100,000 inhabitants, represented a 0.9 percent decrease from the 2006 rate. (Table 4)
for 10.1 percent of the U.S. population and had an offense rate of 164.9 aggravated assaults per 100,000 inhabitants. (Table 2)
The South The South, the nation’s most highly populated region, accounted for an estimated 36.6 percent of the nation’s population in 2007. (Table 3) From 2006 to 2007, the estimated number of aggravated assaults increased 0.3 percent, reaching a total of 384,107 incidents. However, the region experienced population growth of 1.3 percent during this period, resulting in a slight decline (0.9 percent) in the rate of aggravated assaults, to 347.8 per 100,000 inhabitants. (Table 4) The West In 2007, the West was home to an estimated 23.2 percent of the nation’s population and experienced a 1.1 percent growth in population from 2006 to 2007. The region accounted for 22.7 percent of the nation’s estimated number of aggravated assaults. (Table 3) From 2006 to 2007, the estimated number of offenses decreased 1.2 percent to 194,269 incidents. The rate, estimated at 277.1 offenses per 100,000 inhabitants, decreased 2.3 percent from 2006. (Table 4)
From 2006 to 2007, the number of aggravated assaults in four of the six city groups decreased. Cities with 250,000 or more inhabitants experienced the greatest decrease (2.8 percent). Cities with populations of 10,000 to 24,000 experienced an increase of 3.2 percent. In metropolitan counties, the number of aggravated assaults declined 2.1 percent; in nonmetropolitan counties, this number increased 2.9 percent. Aggravated assaults in suburban areas declined 1.1 percent from 2006 to 2007. (Table 12) Based on reports from agencies submitting 12 months of complete data for 2007, aggravated assault occurred at an estimated rate of 292.6 offenses per 100,000 inhabitants nationwide. The collective rate for cities was 330.0 aggravated assaults per 100,000 inhabitants. Among city population groups, rates ranged from a high of 477.8 offenses per 100,000 inhabitants (in cities with 250,000 inhabitants or more) to a low of 208.8 offenses per 100,000 inhabitants (in cities with 10,000 to 24,999 inhabitants). The aggravated assault rate was 231.0 in metropolitan counties and 172.9 in nonmetropolitan counties. (Table 16)
Community Types Offense Analysis The UCR Program aggregates data for three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties outside MSAs. MSAs include a central city or urbanized area with at least 50,000 inhabitants, as well as the county that contains the principal city and other adjacent counties that have a high degree of social and economic integration as measured through commuting. Cities outside MSAs are mostly incorporated areas, and nonmetropolitan counties are made up of mostly unincorporated areas. (For additional information about community types, see Appendix III.) In 2007, 83.2 percent of the nation’s population lived in MSAs, where the rate of aggravated assault was an estimated 297.6 per 100,000 inhabitants. Cities outside MSAs (with 6.7 percent of the U.S. population) had the nexthighest rate of aggravated assault at 291.1 offenses per 100,000 inhabitants. Nonmetropolitan counties accounted
Aggravated Assault by Weapon The UCR Program collects data about the type of weapons used in aggravated assaults. In 2007, personal weapons were used in 25.7 percent of aggravated assaults for which weapons information was known, firearms were used in 21.4 percent of aggravated assaults, and knives and other cutting instruments were used in 18.8 percent of aggravated assaults. Weapons classified in the “other” category were used in the remaining 34.2 percent of offenses. (Aggravated Assault Table) An analysis by weapon type showed that the rate of aggravated assaults per 100,000 inhabitants was 73.3 with personal weapons, 61.1 with firearms, 53.6 with knives and other cutting instruments, and 97.6 with weapons in the “other” category. (Table 19)
SECTION II: OFFENSES REPORTED 21
PROPERTY CRIME Figure 2-7. Property Crime Rates, 1998–2007
Rate per 100,000 inhabitants
6,000
4,000
2,000
0 1988
1993
1998
2003
2007
Year
Definition The Uniform Crime Reporting (UCR) Program’s definition of property crime includes the offenses of burglary, larcenytheft, motor vehicle theft, and arson. The object of theft-type offenses is the taking of money or property without the use of force or threat of force against the victims. Property crime includes arson because the offense involves the destruction of property; however, arson victims may be subjected to force. Because of limited participation and the varying collection procedures conducted by local law enforcement agencies, only limited data are available for arson. Arson statistics are included in the trend, clearance, and arrest tables in Crime in the United States, but they are not included in any estimated volume data. More information on the expanded arson tables (which are available online but not included in this publication) can be found in Appendix I.
decrease from the 2006 (2-year trend) estimate, a 5.7 percent decrease from the 2003 (5-year trend) estimate, and a 10.1 percent decrease from the 1998 (10-year trend) estimate. (Tables 1 and 1A) In 2007, larceny-theft, motor vehicle theft, and buglaries all showed a decline from their 2006 estimates; the number of larceny-thefts was down 0.6 percent and the number of motor vehicle thefts was down 8.1 percent. The number of burglaries decreased 0.2 percent. (Tables 1 and 1A) The estimated property crime rate per 100,000 inhabitants in 2007 was 3,263.5, a 2.1 percent decrease from the 2006 rate, an 9.1 percent decrease from the 2003 rate, and a 19.5 percent decrease from the 1998 rate. (Tables 1 and 1A) Regional Offense Trends and Rates
Data Collection The data presented in Crime in the United States reflect the Hierarchy Rule, which counts only the most serious offense in a multiple-offense criminal incident. In descending order of severity, the violent crimes are murder and nonnegligent manslaughter, forcible rape, robbery, aggravated assault; these are followed by the property crimes of burglary, larceny-theft, and motor vehicle theft. National Volume, Trends, and Rates An estimated 9,843,481 property crimes were committed in the United States in 2007, representing a 1.4 percent
The UCR Program separates the United States into four regions: the Northeast, the Midwest, the South, and the West. (Geographic breakdowns can be found in Appendix III.) Property crime data collected by the UCR Program and aggregated by region reflected the following results. The Northeast The Northeast region accounted for 18.1 percent of the nation’s population and experienced a 0.1 percent decline in population from 2006 to 2007. The region also accounted for 12.2 of the nation’s estimated number of property crimes in 2007. (Table 3) Law enforcement in the Northeast saw a
22
CRIME IN THE UNITED STATES (BERNAN PRESS)
3.0 percent decrease in the estimated number of property crimes from 2006 to 2007. The property crime rate for the Northeast, estimated at 2,203.7 incidents per 100,000 inhabitants, was 2.9 percent lower than the 2006 rate. (Table 4) The Midwest The Midwest, with 22.0 percent of the U.S. population in 2007 and a 0.3 percent growth in population from 2006 to 2007, accounted for 21.3 percent of the nation’s estimated number of property crimes. (Table 3) Law enforcement in the Midwest saw a 3.2 percent decrease in the estimated number of property crimes in the Midwest from 2006 to 2007. The rate of property crime in the Midwest in 2007, estimated at 3,157.2 incidents per 100,000 inhabitants, represented a 3.5 percent decrease from the 2006 rate. (Table 4) The South The South, the nation’s most populous region, accounted for 36.6 percent of the U.S. population in 2007 and experienced a 1.3 percent growth in population from 2006 to 2007. The region also accounted for an estimated 42.7 percent of the nation’s property crimes. (Table 3) The South experienced a 1.8 percent increase in its estimated number of property crimes from 2006 to 2007. The 2007 property crime rate, an estimated 3,802.1 incidents per 100,000 inhabitants, was 0.6 percent higher than the 2006 rate. (Table 4) The West In 2007, the West accounted for 23.2 percent of the nation’s population; the region experienced a 1.1 percent growth in population from 2006 to 2007. The West also accounted for 23.8 percent of the nation’s estimated number of property crimes. (Table 3) From 2006 to 2007, the estimated number of property crimes in this region decreased 4.4 percent. The estimated property crime rate in the West in 2007, 3,342.3 incidents per 100,000 inhabitants, was 5.4 percent lower than the 2006 rate. (Table 4) Community Types The UCR Program aggregates data by three community types: metropolitan statistical areas (MSAs), cities outside
metropolitan areas, and nonmetropolitan counties. (Additional in-depth information regarding community types can be found in Appendix III.) In 2007, 83.2 percent of the U.S. population lived in MSAs. The property crime rate for MSAs was 3,416.5 per 100,000 inhabitants. Cities outside metropolitan areas, which accounted for 6.7 percent of the total population in 2007, had a property crime rate of 3,773.5 per 100,000 inhabitants. Nonmetropolitan counties, with 10.1 percent of the nation’s population in 2007, had a property crime rate of 1,667.9 per 100,000 inhabitants. (Table 2) Population Groups: Trends and Rates The UCR Program organizes the agencies that contribute data into population groups, which include cities, metropolitan counties, and nonmetropolitan counties. (Appendix III provides further details about these groups.) From 2006 to 2007, law enforcement in the nation’s cities collectively reported a 1.9 percent decrease in the number of property crimes. All city groups experienced decreased in the number of property crimes; cities with 250,000 inhabitants or more had the largest declines at 2.3 percent. While metropolitan counties experienced a decline of 0.6 percent from 2006 to 2007; property crime increased in nonmetropolitran counties by 0.2 percent. (Table 12) The nation’s cities collectively had a property crime rate of 3,867.5 incidents per 100,000 inhabitants in 2007. Nonmetropolitan counties had a rate of 1,676.0 incidents per 100,000 inhabitants, and metropolitan counties had a rate of 2,447.7 incidents per 100,000 inhabitants. (Table 16) Offense Analysis The estimated dollar loss attributing to property crimes, not including arson, in 2007 was $17.6 billion. Among the individual property crime categories, the dollar losses were an estimated $4.3 billion for burglary, $5.8 billion for larcenytheft, and $7.4 billion for motor vehicle theft. (Tables 1 and 23) Arson had an average dollar loss of $17,289. Arsons of industrial/manufacturing structures resulted in the highest average dollar losses with an average loss of $114,699. (Expanded Arson Table 2)
SECTION II: OFFENSES REPORTED 23
Figure 2-8. Burglary, by Location and Time, 2007
Nonresidence, Unknown 8.2% Nonresidence, Day 10.4% Residence, Day 33.9%
Nonresidence, Night 13.5%
Residence, Unknown 14.6%
BURGLARY
Residence, Night 19.4%
West. (Details regarding these regions can be found in Appendix III.) An analysis of burglary data by region showed the following details.
Definition The Northeast The UCR Program defines burglary as the unlawful entry of a structure to commit a felony or theft. To classify an offense as a burglary, the use of force to gain entry need not have occurred. The program has three subclassifications for burglary: forcible entry, unlawful entry where no force is used, and attempted forcible entry. The UCR definition of “structure” includes, but is not limited to, apartments, barns, house trailers or houseboats (when used as permanent dwellings), offices, railroad cars (but not automobiles), stables, and vessels (i.e., ships).
In 2007, 18.1 percent of the nation’s population lived in the Northeast, which experienced a 0.1 percent decline in population from 2006 to 2007. This region accounted for 10.5 percent of the estimated total number of burglary offenses in the nation in 2007 a decline from 2006 when it accounted for 10.8 percent of the estimated total number of burglary offenses. The region’s burglary rate, an estimated 419.1 offenses per 100,000 inhabitants, represented an decrease of 2.5 percent from the 2006 rate. (Tables 3 and 4)
National Volume, Trends, and Rate
The Midwest
In 2007, an estimated 2,179,140 burglary offenses occurred in the United States. This figure represented a 0.2 percent decrease from the 2006 figure. An examination of 5-year and 10-year trends demonstrated a 1.1 percent increase from the 2003 estimate and an 6.6 percent decrease from 1998 estimate in the number of burglaries. However, the burglary rate for the United States in 2007 was 722.5 incidents per 100,000 inhabitants, a 0.9 percent decrease from the 2006 rate. Burglary accounted for 22.1 percent of the estimated number of property crimes committed in 2007. (Tables 1 and 1A) Regional Offense Trends and Rates The UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the
The Midwest accounted for 22.0 percent of the nation’s population in 2007 and experienced a 0.3 percent growth in population from 2006 to 2007. This region also accounted for 20.6 percent of the nation’s estimated number of burglaries. The estimated number of burglaries in this region decreased 2.2 percent from 2006 to 2007. The Midwest had a burglary rate of 675.0 offenses per 100,000 inhabitants, a 2.5 percent decrease from the 2006 rate. (Tables 3 and 4) The South The South, the nation’s most highly populated region, had the most burglaries in 2007 (an estimated 1,018,197). With 36.6 percent of the nation’s population (and having experienced a 1.3 percent growth in population from 2006 to
24
CRIME IN THE UNITED STATES (BERNAN PRESS)
2007), this region accounted for 46.7 percent of all burglaries in the United States. The estimated rate of burglary in the South was 921.8 incidents per 100,000 inhabitants, a 2.0 percent increase from the 2006 rate. (Tables 3 and 4) The West The West accounted for 23.2 percent of the nation’s population in 2007 and experienced a 1.1 percent growth in population from 2006 to 2007. In 2007, this region also accounted for an estimated 22.2 percent of the nation’s burglaries. The region’s burglary rate was 689.9, a 5.1 percent decrease from the 2006 rate. The total number of burglaries (483,630) represented a 4.1 percent decrease from the 2006 figure. (Tables 3 and 4) Community Types The UCR Program aggregates data by three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties. (See Appendix III for more information regarding community types.) In 2007, 83.2 percent of the U.S. population lived in MSAs, and an estimated 85.3 percent of all burglaries occurred in this type of community. Inhabitants of cities outside MSAs accounted for 6.7 percent of the total population in 2007 and 7.2 percent of the estimated number of burglaries; nonmetropolitan counties, with 10.1 percent of the U.S. population, accounted for 7.5 percent of all burglaries. The burglary rates per 100,000 inhabitants were 740.3 in MSAs, 782.6 in cities outside MSAs, and 535.8 in nonmetropolitan counties. (Table 2)
under 10,000 inhabitants experienced the largest decrease (1.3 percent) followed by cities with 25,000 to 49,999 inhabitants (1.1 percent). However, cities with 1,000,000 inhabitants or more—a subset of the city group of cities with 250,000 inhabitants or more—experienced a 4.0 percent increase in the number of burglaries, though the number for the overall group declined by 0.5 percent. The volume of burglaries increased 0.6 percent in metropolitan counties and 0.8 percent in nonmetropolitan counties. (Table 12) The UCR Program calculates burglary rates for population groups from the information provided by participating agencies that submitted all 12 months of offense data for the year. In 2007, the nation’s cities had 801.3 offenses per 100,000 inhabitants. The largest cities (those with 250,000 or more inhabitants) had the highest burglary rate at 948.8 incidents per 100,000 inhabitants. Cities with 10,000 to 24,999 inhabitants had the lowest burglary rate—630.5 incidents per 100,000 inhabitants. Metropolitan counties had a rate of 618.2 per 100,000 inhabitants, and nonmetropolitan counties had a rate of 539.7 per 100,000 inhabitants. (Table 16) Offense Analysis The UCR Program requests that participating law enforcement agencies provide details regarding the nature of burglaries in their jurisdictions, such as type of entry, type of structure, time of day, and dollar loss associated with each offense. An examination of the data revealed, 61.1 percent of all burglaries involved forcible entry, 32.4 percent were unlawful entries (without force), and the remainder (6.5 percent) were forcible entry attempts. (Table 19)
Population Groups: Trends and Rates In addition to analyzing data by region and community type, the UCR Program aggregates crime statistics by population groups. Cities are categorized into six groups based on the number of inhabitants; counties are categorized into two groups, metropolitan and nonmetropolitan. (Appendix III offers further details regarding these population groups.) An examination of data from law enforcement agencies that provided statistics for at least 6 common months in 2006 and 2007 showed that the nation’s cities experienced a collective 0.5 percent decrease in burglaries from 2006 to 2007. Burglaries decreased in each city group except cities with a population between 100,000 to 249,999. Cities with
As in the past, burglars targeted residences more often than nonresidential structures. An analysis of data from agencies that provided supplemental burglary data for at least 6 months of 2007 showed that 67.9 percent of burglaries occurred at residences, while 32.1 percent of burglaries occurred at nonresidential structures. (Table 23) Law enforcement agencies were unable to determine the time of day for 22.9 percent of all reported burglaries. However, of the burglaries for which time of day could be established, most burglaries of residences (63.6 percent) occurred during the day. while most burglaries of nonresidential structures (56.4 percent) occurred at night. The average dollar loss per burglary was $1,991. (Table 23)
SECTION II: OFFENSES REPORTED 25
Figure 2-9. Larceny-Theft Distribution, 2007 From coin-operated machines 0.5%
Purse-snatching 0.6% Bicycles 3.4%
Pocket-picking 0.4%
Motor vehicle accessories 9.1%
All others 33.1%
From buildings 12.0%
Shoplifting 14.9%
From motor vehicles (except accessories) 26.0%
LARCENY-THEFT Definition The UCR Program defines larceny-theft as the unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. Examples are thefts of bicycles, motor vehicle parts and accessories, shoplifting, pocket picking, or the stealing of any property or article not taken by force and violence or by fraud. Attempted larcenies are included. Embezzlement, confidence games, forgery, check fraud, etc., are excluded from this category. National Volume, Trends, and Rates In 2007, larceny-theft accounted for an estimated 66.7 percent of the nation’s property crimes. (Table 1) Trend data showed that the number of larceny-thefts decreased 0.6 percent from 2006 to 2007 (2-year trend data), decreased 6.5 percent from 2003 to 2007 (5-year trend data), and decreased 11.0 percent from 1998 to 2007 (10-year trend data). The trend data also showed decreases in the larcenytheft rates per 100,000 inhabitants during these periods. The larceny-theft rate decreased 1.3 percent between 2006 and 2007, 9.9 percent between 2003 and 2007, and 20.2 percent between 1998 and 2007. (Table 1) Regional Offense Trends and Rates The UCR Program defines four regions within the United States: the Northeast, the Midwest, the South, and the West. (See Appendix III for a geographical description of each region.) A comparison of 2006 and 2007 data showed that
both the estimated number and the estimate rate of larceny-theft declined in every region except the South. (Tables 3 and 4) The following paragraphs provide a region overview of larceny-theft. The Northeast The region with the smallest proportion (18.1 percent) of the U.S. population in 2007, the Northeast was the only region that experienced a decline in population from 2006 to 2007 (0.1 percent). The region also experienced the fewest larceny-thefts in the country, accounting for only 13.2 percent of all larceny-thefts. (Table 3) The estimated number of offenses in 2007—868,763—represented a 1.8 percent decline from 2006, and the estimated rate—1,588.8 incidents per 100,000 inhabitants—represented a 1.7 percent decline. (Table 4) The Midwest With 22.0 percent of the U.S. population in 2007, and a 0.3 percent growth in population from 2006 to 2007, the Midwest accounted for an estimated 22.1 percent of the nation’s larceny-thefts. (Table 3) The estimated number of offenses (1,448,457) declined 2.6 percent compared with the 2006 data, and the estimated rate of occurrences (2,181.8 incidents per 100,000 inhabitants) declined 2.9 percent. (Table 4) The South With more than one-third of the U.S. population in 2007 (36.6 percent), the South experienced a 1.3 percent growth
26
CRIME IN THE UNITED STATES (BERNAN PRESS)
in population from 2006 to 2007. The region had the nation’s highest percentage of larceny-theft offenses: an estimated 42.4 percent. (Table 3) Estimated offenses in this region totaled 2,782,863, a 2.1 percent increase from the 2006 estimate. The South’s larceny-theft rate—estimated at 2,519.5 offenses per 100,000 inhabitants—increased 0.8 percent from the 2006 estimate. (Table 4) The West In 2007, an estimated 23.2 percent of the U.S. population lived in the West, which experienced a 1.1 percent growth in population from 2006 to 2007. This region was also where 22.4 percent of the nation’s estimated number of larcenythefts took place. (Table 3) Occurrences of larceny-theft declined 2.7 percent from 2006 to 2007, dropping to an estimated total of 1,468,489 offenses. The region’s larceny-theft rate, estimated at 2,094.9 offenses per 100,000 inhabitants, declined 3.7 percent from the 2006 rate. (Table 4) Community Types The UCR Program aggregates data for three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties outside MSAs. MSAs include a central city or urbanized area with at least 50,000 inhabitants, as well as the county that contains the principal city and other adjacent counties that share a high degree of social and economic integration as measured through commuting. Cities outside MSAs are mostly incorporated areas, and nonmetropolitan counties are composed of unincorporated areas. (See Appendix III for more information regarding community types.) In 2007, MSAs were home to an estimated 83.2 percent of the nation’s population and experienced 86.7 percent of the nation’s larceny-theft incidents. Cities outside MSAs accounted for 6.7 percent of the U.S. population and 8.6 percent of larceny-theft offenses. Nonmetropolitan counties, which were home to 10.1 percent of the nation’s population, accounted for 4.6 percent of the estimated number of larceny-theft offenses. (Table 2)
greatest decrease (1.7 percent). followed by cities with 100,000 to 249,999 inhabitants (1.4 percent). In both metropolitan and nonmetropolitan counties larceny-theft increased 0.1. (Table 12) Based on reports of larceny-theft offenses from U.S. law enforcement agencies that submitted 12 months of complete data for 2007, this offense occurred at a rate of 2,221.1 offenses per 100,000 inhabitants. The collective rate for cities was 2,616.4 offenses per 100,000 inhabitants. Among city population groups, cities with 100,000 to 249,000 inhabitants had the highest larceny-theft rate, 2,868.0 incidents per 100,000 inhabitants. Cities with 10,000 to 24,999 inhabitants had the lowest rate at 2,333.9 incidents per 100,000 inhabitants. In metropolitan counties, the rate was 1,550.6 incidents per 100,000 inhabitants; in nonmetropolitan counties, the rate was 1,003.5 incidents per 100,000 inhabitants. (Table 16) Offense Analysis Distribution Thefts from motor vehicles accounted for the majority of larceny-theft offenses in 2007 (26.0 percent). Table 23 provides a further breakdown of larceny-theft offenses, including shoplifting, thefts from buildings, thefts of motor vehicle accessories, thefts of bicycles, thefts from coin-operated machines, purse snatching, and pocket picking. The “all other” category, which includes the less-defined types of larceny-theft, accounted for 33.1 percent of all offenses. Loss by Dollar Value
Population Groups: Trends and Rates
Larceny-theft offenses cost victims an estimated $5.8 billion dollars in 2007, up from $5.6 billion in 2006. (Tables 1 and 23) The average value of property stolen was $886 per offense, up from $855 in 2006. Larceny-theft from buildings had the highest average dollar loss per offense at $1,263. Thefts from motor vehicles had an average dollar loss of $722 per offense; thefts of motor vehicle accessories, $554; purse snatching, $402; pocket picking, $728; thefts from coin-operated machines, $363; thefts of bicycles, $273; and shoplifting, $205. (Table 23)
In cities, collectively, occurrences of larceny-theft declined 0.9 percent between 2006 and 2007; cities with 10,000 to 24,9999 inhabitants and 500,00 to 900,000 inhabitants, experienced increases of 0.2 and 0.3 respectively. Among the city groups, cities with under 10,000 inhabitants experienced the
Offenses in which the stolen property was valued at more than $200 accounted for 43.9 percent of all larceny-thefts. Table 23 provides further analysis, including the average dollar value per offense, of all offenses in the overall category of property crime.
SECTION II: OFFENSES REPORTED 27
Figure 2-10. Percent Change in the Number of Motor Vehicle Thefts, 1989–2007 12.0
8.0
Percent
4.0
0.0
-4.0
-8.0
-12.0 1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
Year
MOTOR VEHICLE THEFT Definition The UCR Program defines motor vehicle theft as the theft or attempted theft of a motor vehicle. The offense includes the stealing of automobiles, trucks, buses, motorcycles, snowmobiles, etc. The taking of a motor vehicle for temporary use by a person or persons with lawful access is excluded. National Volume, Trends, and Rates In 2007, an estimated 1,095,769 motor vehicle thefts took place in the United States. The number of motor vehicles estimated to have been stolen decreased 8.1 percent between 2006 and 2007, decreased 13.1 percent between 2003 and 2007, and decreased 11.8 percent between 1998 and 2007. (Table 1)
The Northeast The Northeast accounted for an estimated 18.1 percent of the nation’s population in 2007 and experienced a 0.1 percent decline in population from 2006 to 2007. The region also accounted for an estimated 9.8 percent of its motor vehicle thefts. (Table 3) An estimated 107,028 motor vehicle thefts occurred in the Northeast in 2007, representing a 12.0 percent decrease from the 2006 estimate. This was the largest decline among the regions. The estimated rate of 195.7 motor vehicle thefts per 100,000 inhabitants in the Northeast in 2007 represented a 11.9 percent decline from the 2006 rate. (Table 4) The Midwest
The estimated rate of motor vehicle theft in 2007 was 363.3 incidents per 100,000 inhabitants. In the 2-year, 5-year, and 10-year trend data, this rate showed decline: the 2007 rate was 8.8 percent lower than the 2006 rate, 16.2 percent lower than the 2003 rate, and 21.0 percent lower than the 1998 rate. (Table 1)
An estimated 22.0 percent of the country’s population resided in the Midwest in 2007, and the region experienced a 0.3 growth in population from 2006 to 2007. The region accounted for 18.2 percent of the nation’s motor vehicle thefts. (Table 3) The Midwest had an estimated 199,416 motor vehicle thefts in 2007, a 9.5 percent decrease from the previous year’s total. The motor vehicle theft rate was estimated at 300.4 motor vehicles stolen per 100,000 inhabitants, a 9.7 percent decrease from the 2006 rate. (Table 4)
Regional Offense Trends and Rates
The South
In order to analyze crime by geographic area, the UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the West. (Appendix III provides a map delineating the regions.) This section provides a regional overview of motor vehicle theft.
The South, the nation’s most populous region, was home to an estimated 36.6 percent of the U.S. population in 2007 and experienced a 1.3 percent growth in population from 2006 to 2007. This region accounted for 36.4 percent of the nation’s motor vehicle thefts. (Table 3) The estimated
28
CRIME IN THE UNITED STATES (BERNAN PRESS)
398,589 motor vehicle thefts in the South decreased 3.4 percent from the 2006 estimate. Motor vehicles in the South were stolen at an estimated rate of 360.9 per 100,000 inhabitants in 2007, a rate that was 4.6 percent lower than the 2006 rate. (Table 4)
Population Groups: Trends and Rates The UCR Program aggregates data by various population groups, which include cities, metropolitan counties, and nonmetropolitan counties. (A definition of these groups can be found in Appendix III.)
The West With approximately 23.2 percent of the U.S. population in 2007, the West experienced a 1.1 percent growth in population from 2006 to 2007. This region accounted for 35.7 percent of all motor vehicle thefts in the nation in 2007. (Table 3) An estimated 390,736 motor vehicle thefts occurred in this region. This number represented a 10.9 percent decrease from the previous year’s estimate. The motor vehicle theft rate for the West was also lower in 2007 than in 2006; the 2007 rate of 557.4 motor vehicles stolen per 100,000 inhabitants was 11.8 percent lower than the 2006 rate. (Table 4) Community Types The UCR Program aggregates data by three community types: metropolitan statistical areas (MSAs), cities outside MSAs, and nonmetropolitan counties. MSAs are areas that include a principal city or urbanized area with at least 50,000 inhabitants and the county that contains the principal city and other adjacent counties that have, as defined by the U.S. Office of Management and Budget, a high degree of economic and social integration. The vast majority (83.2 percent) of the U.S. population resided in MSAs during 2007, where approximately 93.1 percent of motor vehicle thefts occurred. For 2007, the UCR Program estimated an overall rate of 406.4 motor vehicles stolen per 100,000 MSA inhabitants. Cities outside MSAs and nonmetropolitan counties made up 6.7 and 10.1 percent of the nation’s population, respectively. Cities outside MSAs accounted for 3.2 percent of motor vehicle thefts, and nonmetropolitan counties accounted for 3.7 percent of motor vehicle thefts. The UCR Program estimated a 2007 rate of 175.6 motor vehicles stolen for every 100,000 inhabitants in cities outside MSAs and a rate of 132.0 motor vehicles stolen per 100,000 inhabitants in nonmetropolitan counties. (Table 2)
In cities, collectively, the number of motor vehicle thefts decreased 9.1 percent from 2006 to 2007. Cities with 500,000 to 999,999 inhabitants experienced the greatest decline—10.5 percent. Both metropolitan and nonmetropolitan counties experienced decreases, at 6.4 percent and 1.9 percent, respectively. (Table 12) In 2007 cities had a collective motor vehicle theft rate of 449.9 per 100,000 inhabitants. Among the population groups, the largest cities, those with 250,000 or more inhabitants, experienced the highest rate of motor vehicle thefts with 730.3 motor vehicle thefts per 100,000 inhabitants. (Within this city group, cities with 500,000 to 999,999 inhabitants had the highest motor vehicle theft rate at 866.1 incidents per 100,000 inhabitants.) Conversely, the nation’s smallest cities, those with populations under 10,000, had the lowest rate of motor vehicle theft with 186.0 incidents per 100,000 in population. Within the county groups, metropolitan counties had a rate of 279.0 motor vehicles stolen per 100,000 inhabitants, while nonmetropolitan counties had a rate of 132.8 incident per 100,000 inhabitants. (Table 16) Offense Analysis Based on the reports of law enforcement agencies, the UCR Program estimated the combined value of motor vehicles stolen nationwide in 2007 at approximately $7.4 billion. (Tables 1 and 23) Automobiles were, by far, the most frequently stolen vehicle, accounting for 73.4 percent of all vehicles stolen. Trucks and buses accounted for 18.1 percent of stolen vehicles, and other vehicles accounted for 8.6 percent of stolen vehicles. (Motor Vehicle Theft Table) By type of vehicle, automobiles were stolen at a rate of 279.9 cars per 100,000 inhabitants in 2007. Trucks and buses were stolen at a rate of 68.9 vehicles per 100,000 in population, and other types of vehicles were stolen at a rate of 32.7 vehicles per 100,000 inhabitants. (Table 19)
SECTION II: OFFENSES REPORTED 29
Figure 2-11. Average Dollar Amount of Damage by Property Type from Arson, 2007 150,000 120,000
Dollar
90,000 60,000 30,000
th er m ob ile O
es id en tia l th er r
O
St In or du ag st e ri a l/m an uf ac tu rin g O th er co m m er ci al C om m un ity /p ub lic M ot or ve hi cl es
Si ng le
oc c
up an cy
re si de nt ia l
0
Type of property
ARSON Definition The UCR Program defines arson as any willful or malicious burning or attempt to burn (with or without intent to defraud) a dwelling house, public building, motor vehicle, aircraft, personal property of another, etc. Data Collection Only fires that investigators determined were willfully set (not fires labeled as “suspicious” or “of unknown origin”) are included in this arson data collection. Points to consider regarding arson statistics include: National offense rates per 100,000 inhabitants (found in Tables 1 through 4) do not include arson data; the FBI presents rates for arson separately. Arson rates are calculated based upon data received from all law enforcement agencies that provide the UCR Program with data for 12 complete months. Arson data collection does not include estimates for arson, because the degree of reporting arson offenses varies from agency to agency. Because of this unevenness of reporting, arson offenses are excluded from Tables 1 through 7, all of which contain offense estimations. The number of arsons reported by individual law enforcement agencies is available in Tables 8 through 11. Arson trend data (which indicate year-to-year changes) can be found in Tables 12 through 15, and arson clearance data (crimes solved) can be found in Tables 25 through 28.
National Coverage In 2007, 14,197 agencies (providing 1 to 12 months of data) reported 64,332 arson offenses. Of those agencies, 14,131 provided expanded offense data about 57,224 arsons. (Unpublished Expanded Arson Table 1; see Appendix I for more information) Population Groups: Trends and Rates The number of arsons reported in 2007 decreased 6.7 percent from the 2006 figure. Law enforcement agencies in the nation’s cities collectively reported a 6.3 percent decline in the number of arsons from the 2006 figure. The number of arsons declined for all population groups. Among the population groups labeled city, those with 50,000 to 99,999 inhabitants had the largest year-to-year decrease in reported arsons, 10.1 percent. Agencies in the nation’s metropolitan counties reported a 8.8 percent decrease in the number of arsons, and those in nonmetropolitan counties reported a 5.1 percent decline. (Table 12) Arson rates were based on information received from 11,590 agencies that provided 12 months of complete arson data to the UCR Program. An examination of data indicated that in 2007, the highest rate among city groups—40.8 arsons per 100,000 inhabitants—was reported in cities with 250,000 or more inhabitants. Among cities with 250,000 or more inhabitants, those with a population of 250,000 to 499,999 had the highest rate at 40.9 per 100,000 inhabitants. Cities with 10,000 to 24,999 inhabitants had the lowest rate of arson at 17.9 per 100,000 inhabitants. Metropolitan counties had 20.0 arsons per 100,000 inhabitants, and nonmetropolitan counties had 16.2 arsons per 100,000 inhabitants, the lowest of all the population groups. (Expanded Arson Table 1)
30
CRIME IN THE UNITED STATES (BERNAN PRESS)
Offense Analysis The UCR Program breaks down arson offenses into three property categories: structural, mobile, and other. In addition, the structural property type is broken down into seven types of structures, and the mobile property type consists of two subgroupings. The program also collects information on the estimated dollar value of the damaged property. Property Type The number of arsons decreased for all property types in 2007. Arsons for the structural property type decreased 6.2 percent. Arsons for the mobile property type decreased 8.0 percent and arsons of other property types decreased 8.3 percent. (Table 15) Distributions by Property Type In 2007, arsons of structures accounted for 42.9 percent of all arsons. Of these arsons, 61.6 percent involved residential properties. Of the residential arsons, most (72.7 percent)
were single-occupancy residences, such as houses, townhouses, duplexes, etc. Mobile arsons accounted for 27.9 percent of all arsons. Within this category, 94.5 percent of offenses involved the burning of motor vehicles. Other types of property, such as crops, timber, fences, etc., accounted for 29.2 percent of reported arson offenses. (Expanded Arson Table 2) Dollar Loss In monetary terms, the average dollar loss in 2007 for arson was $17,289. The average dollar loss for a structural arson was $32,364. Mobile property had an average dollar loss of $8,112. Other property types had an average dollar loss of $3,918. (Expanded Arson Table 2) Within the structural arson category, the industrial/manufacturing subcategory had the highest average dollar loss at $114,699. Within that same category, single-occupancy dwellings had an average dollar loss of $26,729. Other residential dwellings had an average dollar loss of $31,642. Storage properties had the lowest average damages at $20,237. (Expanded Arson Table 2)
SECTION II: OFFENSES REPORTED 31 Table 1.
Crime in the United States, by Volume and Rate per 100,000 Inhabitants, 1988–2007
(Number, rate per 100,000 population, percent.) Murder and nonnegligent manslaughter
Violent crime Population1
Year
Number 1988................ 1989................ 1990................ 1991................ 1992................ 1993................ 1994................ 1995................ 1996................ 1997................ 1998................ 1999................ 2000................ 20012 .............. 2002................ 2003................ 2004................ 2005................ 20063 .............. 2007................
244,498,982 246,819,230 249,464,396 252,153,092 255,029,699 257,782,608 260,327,021 262,803,276 265,228,572 267,783,607 270,248,003 272,690,813 281,421,906 285,317,559 287,973,924 290,788,976 293,656,842 296,507,061 299,398,484 301,621,157
Rate
1,566,221 1,646,037 1,820,127 1,911,767 1,932,274 1,926,017 1,857,670 1,798,792 1,688,540 1,636,096 1,533,887 1,426,044 1,425,486 1,439,480 1,423,677 1,383,676 1,360,088 1,390,745 1,418,043 1,408,337
Aggravated assault Year
Number
1988................ 1989................ 1990................ 1991................ 1992................ 1993................ 1994................ 1995................ 1996................ 1997................ 1998................ 1999................ 2000................ 20012 .............. 2002................ 2003................ 2004................ 2005................ 20063 .............. 2007................
Number 640.6 666.9 729.6 758.2 757.7 747.1 713.6 684.5 636.6 611.0 567.6 523.0 506.5 504.5 494.4 475.8 463.2 469.0 473.6 466.9
Rate
910,092 951,707 1,054,863 1,092,739 1,126,974 1,135,607 1,113,179 1,099,207 1,037,049 1,023,201 976,583 911,740 911,706 909,023 891,407 859,030 847,381 862,220 860,853 855,856
Number
8.5 8.7 9.4 9.8 9.3 9.5 9.0 8.2 7.4 6.8 6.3 5.7 5.5 5.6 5.6 5.7 5.5 5.6 5.7 5.6
372.2 385.6 422.9 433.4 441.9 440.5 427.6 418.3 391.0 382.1 361.4 334.3 324.0 318.6 309.5 295.4 288.6 290.8 287.5 283.8
Rate
92,486 94,504 102,555 106,593 109,062 106,014 102,216 97,470 96,252 96,153 93,144 89,411 90,178 90,863 95,235 93,883 95,089 94,347 92,757 90,427
Burglary
Rate
12,356,865 12,605,412 12,655,486 12,961,116 12,505,917 12,218,777 12,131,873 12,063,935 11,805,323 11,558,475 10,951,827 10,208,334 10,182,584 10,437,189 10,455,277 10,442,862 10,319,386 10,174,754 9,983,568 9,843,481
Number
5,054.0 5,107.1 5,073.1 5,140.2 4,903.7 4,740.0 4,660.2 4,590.5 4,451.0 4,316.3 4,052.5 3,743.6 3,618.3 3,658.1 3,630.6 3,591.2 3,514.1 3,431.5 3,334.5 3,263.5
Robbery
Number
20,675 21,500 23,438 24,703 23,760 24,526 23,326 21,606 19,645 18,208 16,974 15,522 15,586 16,037 16,229 16,528 16,148 16,740 17,030 16,929
Property crime
Rate
Forcible rape
Number
1,316.2 1,283.6 1,232.2 1,252.1 1,168.4 1,099.7 1,042.1 987.0 945.0 918.8 863.2 770.4 728.8 741.8 747.0 741.0 730.3 726.9 729.4 722.5
Rate
542,968 578,326 639,271 687,732 672,478 659,870 618,949 580,509 535,594 498,534 447,186 409,371 408,016 423,557 420,806 414,235 401,470 417,438 447,403 445,125
Larceny-theft Rate
3,218,077 3,168,170 3,073,909 3,157,150 2,979,884 2,834,808 2,712,774 2,593,784 2,506,400 2,460,526 2,332,735 2,100,739 2,050,992 2,116,531 2,151,252 2,154,834 2,144,446 2,155,448 2,183,746 2,179,140
Number 37.8 38.3 41.1 42.3 42.8 41.1 39.3 37.1 36.3 35.9 34.5 32.8 32.0 31.8 33.1 32.3 32.4 31.8 31.0 30.0
222.1 234.3 256.3 272.7 263.7 256.0 237.8 220.9 201.9 186.2 165.5 150.1 145.0 148.5 146.1 142.5 136.7 140.8 149.4 147.6
Motor vehicle theft Rate
7,705,872 7,872,442 7,945,670 8,142,228 7,915,199 7,820,909 7,879,812 7,997,710 7,904,685 7,743,760 7,376,311 6,955,520 6,971,590 7,092,267 7,057,379 7,026,802 6,937,089 6,783,447 6,607,013 6,568,572
Number
3,151.7 3,189.6 3,185.1 3,229.1 3,103.6 3,033.9 3,026.9 3,043.2 2,980.3 2,891.8 2,729.5 2,550.7 2,477.3 2,485.7 2,450.7 2,416.5 2,362.3 2,287.8 2,206.8 2,177.8
Rate
1,432,916 1,564,800 1,635,907 1,661,738 1,610,834 1,563,060 1,539,287 1,472,441 1,394,238 1,354,189 1,242,781 1,152,075 1,160,002 1,228,391 1,246,646 1,261,226 1,237,851 1,235,859 1,192,809 1,095,769
586.1 634.0 655.8 659.0 631.6 606.3 591.3 560.3 525.7 505.7 459.9 422.5 412.2 430.5 432.9 433.7 421.5 416.8 398.4 363.3
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Population figures are U.S. Census Bureau provisional estimates as of July 1 for each year except 1990 and 2000, which are decennial census counts. 2 The murder and nonnegligent manslaughters that occurred as a result of the events of September 11, 2001, are not included in this table. 3 The 2006 figures have been adjusted.
Table 1A. Crime in the United States, Percent Change in Volume and Rate per 100,000 Inhabitants for 2 Years, 5 Years, and 10 Years (Percent change.) Murder and nonnegligent manslaughter
Violent crime Year Number 2006–2007.............................. 2003–2007.............................. 1998–2007..............................
Rate
-0.7 +1.8 -8.2
Number
-1.4 -1.9 -17.7
Rate
-0.6 +2.4 -0.3
Property crime
Forcible rape Number
-1.3 -1.3 -10.6
-2.5 -3.7 -2.9
Burglary
Robbery
Rate
Number
-3.2 -7.1 -13.0
Aggravated assault Rate
-0.5 +7.5 -0.5
Number
-1.2 +3.6 -10.8
Larceny-theft
Rate
-0.6 -0.4 -12.4
-1.3 -3.9 -21.5
Motor vehicle theft
Year Number 2006–2007.............................. 2003–2007.............................. 1998–2007..............................
-1.4 -5.7 -10.1
Rate
Number -2.1 -9.1 -19.5
Rate -0.2 +1.1 -6.6
Number -0.9 -2.5 -16.3
-0.6 -6.5 -11.0
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
Rate
Number -1.3 -9.9 -20.2
-8.1 -13.1 -11.8
Rate -8.8 -16.2 -21.0
32
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 2.
Crime in the United States by Community Type, 2007
(Number, percent, rate per 100,000 population.)
Area
Population1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
United States Total ......................................... Rate per 100,000 inhabitants .........................
301,621,157 466.9
1,408,337 5.6
16,929 30.0
90,427 147.6
445,125 283.8
855,856 3,263.5
9,843,481 722.5
2,179,140 2,177.8
6,568,572 363.3
1,095,769
Metropolitan Statistical Areas....................... Area actually reporting2 ................................. Estimated total ................................................ Rate per 100,000 inhabitants .........................
251,045,164 95.7% 100.0% 504.0
1,188,875 1,265,166 6.1
14,389 15,224 29.9
69,828 75,114 170.4
402,338 427,731 297.6
702,320 747,097 3,416.5
8,121,245 8,577,047 740.3
1,766,346 1,858,602 2,269.8
5,375,999 5,698,194 406.4
978,900 1,020,251
Cities Outside Metropolitan Areas............... Area actually reporting2 ................................. Estimated total ................................................ Rate per 100,000 inhabitants .........................
20,083,243 88.0% 100.0% 395.0
71,138 79,335 3.7
670 752 38.3
6,633 7,695 61.9
11,094 12,426 291.1
52,741 58,462 3,773.5
672,408 757,846 782.6
139,699 157,165 2,815.3
500,678 565,406 175.6
32,031 35,275
Nonmetropolitan Counties ........................... Area actually reporting2 ................................. Estimated total ................................................ Rate per 100,000 inhabitants .........................
30,492,750 90.0% 100.0% 209.3
59,066 63,836 3.1
874 953 25.0
6,644 7,618 16.3
4,546 4,968 164.9
47,002 50,297 1,667.9
466,163 508,588 535.8
148,953 163,373 1,000.1
279,938 304,972 132.0
37,272 40,243
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Population figures are U.S. Census Bureau provisional estimates as of July 1, 2007. 2 The percentage reported under “Area actually reporting” is based on the population covered by agencies providing 3 months or more of crime reports to the FBI.
Table 3.
Population and Offense Distribution, by Region, 2007
(Percent distribution.)
Region
United States Total1 ........................................ Northeast.......................................................... Midwest ............................................................ South................................................................. West ..................................................................
Population
100.0 18.1 22.0 36.6 23.2
Violent crime
100.0 14.5 19.4 43.1 23.1
Murder and nonnegligent manslaughter 100.0 13.4 19.1 45.8 21.8
Forcible rape
100.0 12.0 25.3 38.8 24.0
Robbery
100.0 16.9 19.0 40.4 23.7
Aggravated assault
100.0 13.5 19.0 44.9 22.7
Property crime
100.0 12.2 21.3 42.7 23.8
Burglary
100.0 10.5 20.6 46.7 22.2
Larcenytheft
Motor vehicle theft
100.0 13.2 22.1 42.4 22.4
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Because of rounding, the percentages may not add to 100.0.
100.0 9.8 18.2 36.4 35.7
SECTION II: OFFENSES REPORTED 33 Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007
(Number, rate per 100,000 population, percent.)
Area
Year
Population1
Number United States Total2, 3, 4, 5
Northeast2
New England
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
Middle Atlantic2
New Jersey2
New York
Pennsylvania
Midwest3, 4
East North Central3, 4
Illinois3, 4
Indiana
Michigan
Ohio
Wisconsin
2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change .....
299,398,484 301,621,157 54,741,353 54,680,626 14,269,989 14,264,185 3,504,809 3,502,309 1,321,574 1,317,207 6,437,193 6,449,755 1,314,895 1,315,828 1,067,610 1,057,832 623,908 621,254 40,471,364 40,416,441 8,724,560 8,685,920 19,306,183 19,297,729 12,440,621 12,432,792 66,217,736 66,388,795 46,275,645 46,338,216 12,831,970 12,852,548 6,313,520 6,345,289 10,095,643 10,071,822 11,478,006 11,466,917 5,556,506 5,601,640 +3.3
Murder and nonnegligent manslaughter
Violent crime
1,418,043 1,408,337 -0.7 214,549 203,632 -5.1 45,247 43,334 -4.2 9,841 8,965 -8.9 1,526 1,554 +1.8 28,775 27,832 -3.3 1,824 1,807 -0.9 2,429 2,404 -1.0 852 772 -9.4 169,302 160,298 -5.3 30,671 28,601 -6.7 83,966 79,915 -4.8 54,665 51,782 -5.3 277,788 273,018 -1.7 202,144 199,337 -1.4 69,498 68,528 -1.4 19,876 21,165 +6.5 56,778 53,988 -4.9 40,209 39,360 -2.1 15,783 16,296 +2.4
Rate
473.6 466.9 -1.4 391.9 372.4 -5.0 317.1 303.8 -4.2 280.8 256.0 -8.8 115.5 118.0 +2.2 447.0 431.5 -3.5 138.7 137.3 -1.0 227.5 227.3 -0.1 136.6 124.3 -9.0 418.3 396.6 -5.2 351.5 329.3 -6.3 434.9 414.1 -4.8 439.4 416.5 -5.2 419.5 411.2 -2.0 436.8 430.2 -1.5 541.6 533.2 -1.6 314.8 333.6 +6.0 562.4 536.0 -4.7 350.3 343.2 -2.0 284.0 290.9 +11.6
Number
17,030 16,929 -0.6 2,454 2,261 -7.9 370 357 -3.5 108 106 -1.9 23 21 -8.7 186 184 -1.1 13 15 +15.4 28 19 -32.1 12 12 0.0 2,084 1,904 -8.6 427 380 -11.0 921 801 -13.0 736 723 -1.8 3,307 3,225 -2.5 2,565 2,483 -3.2 780 752 -3.6 369 356 -3.5 713 676 -5.2 539 516 -4.3 164 183 +10.7
Rate
5.7 5.6 -1.3 4.5 4.1 -7.8 2.6 2.5 -3.5 3.1 3.0 -1.8 1.7 1.6 -8.4 2.9 2.9 -1.3 1.0 1.1 +15.3 2.6 1.8 -31.5 1.9 1.9 +0.4 5.1 4.7 -8.5 4.9 4.4 -10.6 4.8 4.2 -13.0 5.9 5.8 -1.7 5.0 4.9 -2.7 5.5 5.4 -3.3 6.1 5.9 -3.7 5.8 5.6 -4.0 7.1 6.7 -5.0 4.7 4.5 -4.2 3.0 3.3 +8.1
Forcible rape Number
92,757 90,427 -2.5 11,303 10,821 -4.3 3,496 3,395 -2.9 636 658 +3.5 339 391 +15.3 1,742 1,634 -6.2 344 333 -3.2 285 256 -10.2 150 123 -18.0 7,807 7,426 -4.9 1,237 1,050 -15.1 3,169 2,926 -7.7 3,401 3,450 +1.4 23,715 22,863 -3.6 16,861 16,099 -4.5 4,078 4,103 +0.6 1,835 1,742 -5.1 5,269 4,579 -13.1 4,548 4,452 -2.1 1,131 1,223 +7.3
Robbery
Rate
31.0 30.0 -3.2 20.6 19.8 -4.2 24.5 23.8 -2.8 18.1 18.8 +3.5 25.7 29.7 +15.7 27.1 25.3 -6.4 26.2 25.3 -3.3 26.7 24.2 -9.3 24.0 19.8 -17.6 19.3 18.4 -4.8 14.2 12.1 -14.7 16.4 15.2 -7.6 27.3 27.7 +1.5 35.8 34.4 -3.8 36.4 34.7 -4.6 31.8 31.9 +0.5 29.1 27.5 -5.5 52.2 45.5 -12.9 39.6 38.8 -2.0 20.4 21.8 -1.7
Number
447,403 445,125 -0.5 82,760 75,326 -9.0 13,940 12,225 -12.3 4,241 3,607 -14.9 384 349 -9.1 8,047 7,006 -12.9 423 432 +2.1 735 751 +2.2 110 80 -27.3 68,820 63,101 -8.3 13,357 12,549 -6.0 34,489 31,094 -9.8 20,974 19,458 -7.2 87,464 84,674 -3.2 69,949 68,120 -2.6 23,782 23,100 -2.9 7,243 7,872 +8.7 14,208 13,414 -5.6 19,149 18,260 -4.6 5,567 5,474 -2.5
Rate
149.4 147.6 -1.2 151.2 137.8 -8.9 97.7 85.7 -12.3 121.0 103.0 -14.9 29.1 26.5 -8.8 125.0 108.6 -13.1 32.2 32.8 +2.1 68.8 71.0 +3.1 17.6 12.9 -27.0 170.0 156.1 -8.2 153.1 144.5 -5.6 178.6 161.1 -9.8 168.6 156.5 -7.2 132.1 127.5 -3.4 151.2 147.0 -2.7 185.3 179.7 -3.0 114.7 124.1 +8. 140.7 133.2 -5.4 166.8 159.2 -4.6 100.2 97.7 +5.5
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Populations are U.S. Census Bureau provisional estimates as of July 1, 2007, and July 1, 2006. 2 The 2006 crime figures have been adjusted. 3 Limited data for 2006 and 2007 were available for Illinois. 4 The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) have been estimated for inclusion in this table. 5 Includes offenses reported by the Zoological Police and the Metro Transit Police.
34
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Aggravated assault Number
United States Total2, 3, 4, 5
Northeast2
New England
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
Middle Atlantic2
New Jersey2
New York
Pennsylvania
Midwest3, 4
East North Central3, 4
Illinois3, 4
Indiana
Michigan
Ohio
Wisconsin
2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ......
860,853 855,856 -0.6 118,032 115,224 -2.4 27,441 27,357 -0.3 4,856 4,594 -5.4 780 793 +1.7 18,800 19,008 +1.1 1,044 1,027 -1.6 1,381 1,378 -0.2 580 557 -4.0 90,591 87,867 -3.0 15,650 14,622 -6.6 45,387 45,094 -0.6 29,554 28,151 -4.7 163,302 162,256 -0.6 112,769 112,635 -0.1 40,858 40,573 -0.7 10,429 11,195 +7.3 36,588 35,319 -3.5 15,973 16,132 +1.0 8,921 9,416 +5.5
Property crime
Rate
287.5 283.8 -1.3 215.6 210.7 -2.3 192.3 191.8 -0.3 138.6 131.2 -5.3 59.0 60.2 +2.0 292.1 294.7 +0.9 79.4 78.0 -1.7 129.4 130.3 +0.7 93.0 89.7 -3.6 223.8 217.4 -2.9 179.4 168.3 -6.2 235.1 233.7 -0.6 237.6 226.4 -4.7 246.6 244.4 -0.9 243.7 243.1 -0.3 318.4 315.7 -0.9 165.2 176.4 +6.8 362.4 350.7 -3.2 139.2 140.7 +1.1 160.6 168.1 +4.7
Number
9,983,568 9,843,481 -1.4 1,241,852 1,204,978 -3.0 341,602 337,359 -1.2 87,764 84,052 -4.2 33,286 31,992 -3.9 153,913 154,246 +0.2 24,642 24,896 +1.0 27,618 27,743 +0.5 14,379 14,430 +0.4 900,250 867,619 -3.6 199,958 192,226 -3.9 396,304 381,816 -3.7 303,988 293,577 -3.4 2,166,146 2,095,999 -3.2 1,511,762 1,456,791 -3.6 387,478 377,322 -2.6 221,127 215,526 -2.5 324,351 308,775 -4.8 422,235 396,209 -6.2 156,571 158,959 +1.5
Larcenytheft
Burglary Rate
3,334.5 3,263.5 -2.1 2,268.6 2,203.7 -2.9 2,393.8 2,365.1 -1.2 2,504.1 2,399.9 -4.2 2,518.7 2,428.8 -3.6 2,391.0 2,391.5 * 1,874.1 1,892.0 +1.0 2,586.9 2,622.6 +1.4 2,304.7 2,322.7 +0.8 2,224.4 2,146.7 -3.5 2,291.9 2,213.1 -3.4 2,052.7 1,978.6 -3.6 2,443.5 2,361.3 -3.4 3,271.2 3,157.2 -3.5 3,266.9 3,143.8 -3.8 3,019.6 2,935.8 -2.8 3,502.4 3,396.6 -3.0 3,212.8 3,065.7 -4.6 3,678.6 3,455.2 -6.1 2,817.8 2,837.7 +0.7
Number
2,183,746 2,179,140 -0.2 235,348 229,187 -2.6 69,727 70,828 +1.6 14,694 15,162 +3.2 6,779 6,676 -1.5 35,181 35,662 +1.4 4,358 4,986 +14.4 5,415 5,236 -3.3 3,300 3,106 -5.9 165,621 158,359 -4.4 39,433 37,482 -4.9 68,565 64,857 -5.4 57,623 56,020 -2.8 458,278 448,126 -2.2 330,954 324,218 -2.0 77,259 75,524 -2.2 46,168 46,919 +1.6 76,107 75,428 -0.9 104,426 98,508 -5.7 26,994 27,839 +3.1
Rate
729.4 722.5 -0.9 429.9 419.1 -2.5 488.6 496.5 +1.6 419.3 432.9 +3.3 512.9 506.8 -1.2 546.5 552.9 +1.2 331.4 378.9 +14.3 507.2 495.0 -2.4 528.9 500.0 -5.5 409.2 391.8 -4.3 452.0 431.5 -4.5 355.1 336.1 -5.4 463.2 450.6 -2.7 692.1 675.0 -2.5 715.2 699.7 -2.2 602.1 587.6 -2.4 731.3 739.4 +1.1 753.9 748.9 -0.7 909.8 859.1 -5.6 485.8 497.0 +2.3
Number
6,607,013 6,568,572 -0.6 884,825 868,763 -1.8 236,594 235,947 -0.3 62,680 59,723 -4.7 25,167 24,057 -4.4 100,771 103,592 +2.8 18,862 18,611 -1.3 18,621 19,281 +3.5 10,493 10,683 +1.8 648,231 632,816 -2.4 135,801 132,791 -2.2 295,605 288,929 -2.3 216,825 211,096 -2.6 1,487,599 1,448,457 -2.6 1,019,828 989,766 -2.9 272,578 267,911 -1.7 153,093 149,050 -2.6 198,227 191,196 -3.5 280,384 263,922 -5.9 115,546 117,687 +1.9
Motor vehicle theft Rate
2,206.8 2,177.8 -1.3 1,616.4 1,588.8 -1.7 1,658.0 1,654.1 -0.2 1,788.4 1,705.2 -4.6 1,904.3 1,826.4 -4.1 1,565.4 1,606.1 +2.6 1,434.5 1,414.4 -1.4 1,744.2 1,822.7 +4.5 1,681.8 1,719.6 +2.2 1,601.7 1,565.7 -2.2 1,556.5 1,528.8 -1.8 1,531.1 1,497.2 -2.2 1,742.9 1,697.9 -2.6 2,246.5 2,181.8 -2.9 2,203.8 2,136.0 -3.1 2,124.2 2,084.5 -1.9 2,424.8 2,349.0 -3.1 1,963.5 1,898.3 -3.3 2,442.8 2,301.6 -5.8 2,079.5 2,100.9 +1.0
Number
1,192,809 1,095,769 -8.1 121,679 107,028 -12.0 35,281 30,584 -13.3 10,390 9,167 -11.8 1,340 1,259 -6.0 17,961 14,992 -16.5 1,422 1,299 -8.6 3,582 3,226 -9.9 586 641 +9.4 86,398 76,444 -11.5 24,724 21,953 -11.2 32,134 28,030 -12.8 29,540 26,461 -10.4 220,269 199,416 -9.5 160,980 142,807 -11.3 37,641 33,887 -10.0 21,866 19,557 -10.6 50,017 42,151 -15.7 37,425 33,779 -9.7 14,031 13,433 -4.3
Rate
398.4 363.3 -8.8 222.3 195.7 -11.9 247.2 214.4 -13.3 296.4 261.7 -11.7 101.4 95.6 -5.7 279.0 232.4 -16.7 108.1 98.7 -8.7 335.5 305.0 -9.1 93.9 103.2 +9.9 213.5 189.1 -11.4 283.4 252.7 -10.8 166.4 145.3 -12.7 237.4 212.8 -10.4 332.6 300.4 -9.7 347.9 308.2 -11.4 293.3 263.7 -10.1 346.3 308.2 -11.0 495.4 418.5 -15.5 326.1 294.6 -9.7 252.5 239.8 -5.0
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 2 The 2006 crime figures have been adjusted. 3 Limited data for 2006 and 2007 were available for Illinois. 4 The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) have been estimated for inclusion in this table. 5 Includes offenses reported by the Zoological Police and the Metro Transit Police.
SECTION II: OFFENSES REPORTED 35 Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Population1
Number West North Central 4
Iowa
Kansas
Minnesota4
Missouri
Nebraska
North Dakota
South Dakota
South2, 5
South Atlantic5
Delaware
District of Columbia5
Florida
Georgia
Maryland
North Carolina
South Carolina
Virginia
West Virginia
East South Central
2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change .....
19,942,091 20,050,579 2,982,085 2,988,046 2,764,075 2,775,997 5,167,101 5,197,621 5,842,713 5,878,415 1,768,331 1,774,571 635,867 639,715 781,919 796,214 109,083,752 110,454,786 57,143,670 57,860,260 +1.4 853,476 864,764 581,530 588,292 18,089,888 18,251,243 9,363,941 9,544,750 5,615,727 5,618,344 8,856,505 9,061,032 4,321,249 4,407,709 7,642,884 7,712,091 1,818,470 1,812,035 17,754,447 17,944,829
Murder and nonnegligent manslaughter
Violent crime
75,644 73,681 -2.6 8,455 8,805 +4.1 11,748 12,566 +7.0 16,425 15,003 -8.7 31,880 29,682 -6.9 4,983 5,367 +7.7 813 911 +12.1 1,340 1,347 +0.5 597,279 606,667 +1.6 327,457 332,090 +0.2 5,817 5,960 +2.5 8,772 8,320 -5.2 128,795 131,880 +2.4 44,106 47,075 +6.7 38,110 36,062 -5.4 42,124 42,262 +0.3 33,078 34,746 21,568 20,798 -3.6 5,087 4,987 -2.0 85,218 88,127 +3.4
Rate 379.3 367.5 -3.1 283.5 294.7 +3.9 425.0 452.7 +6.5 317.9 288.7 -9.2 545.6 504.9 -7.5 281.8 302.4 +7.3 127.9 142.4 +11.4 171.4 169.2 -1.3 547.5 549.2 +0.3 573.0 574.0 +6.2 681.6 689.2 +1.1 1,508.4 1,414.3 -6.2 712.0 722.6 +1.5 471.0 493.2 +4.7 678.6 641.9 -5.4 475.6 466.4 -1.9 765.5 788.3 +5.0 282.2 269.7 -4.4 279.7 275.2 -1.6 480.0 491.1 +2.3
Number 742 742 0.0 55 37 -32.7 127 107 -15.7 125 116 -7.2 368 385 +4.6 50 68 +36.0 8 12 +50.0 9 17 +88.9 7,365 7,759 +5.3 3,859 4,097 +4.9 42 37 -11.9 169 181 +7.1 1,129 1,201 +6.4 600 718 +19.7 546 553 +1.3 540 585 +8.3 359 352 +3.0 399 406 +1.8 75 64 -14.7 1,182 1,221 +3.3
Rate 3.7 3.7 -0.5 1.8 1.2 -32.9 4.6 3.9 -16.1 2.4 2.2 -7.7 6.3 6.5 +4.0 2.8 3.8 +35.5 1.3 1.9 +49.1 1.2 2.1 +85.5 6.8 7.0 +4.0 6.8 7.1 -3.4 4.9 4.3 -13.1 29.1 30.8 +5.9 6.2 6.6 +5.4 6.4 7.5 +17.4 9.7 9.8 +1.2 6.1 6.5 +5.9 8.3 8.0 -1.9 5.2 5.3 +0.8 4.1 3.5 -14.4 6.7 6.8 +2.2
Forcible rape Number 6,854 6,764 -1.3 828 904 +9.2 1,238 1,231 -0.6 1,947 1,873 -3.8 1,764 1,714 -2.8 548 527 -3.8 193 207 +7.3 336 308 -8.3 35,667 35,073 -1.7 16,849 16,274 -4.6 400 336 -16.0 185 192 +3.8 6,475 6,151 -5.0 2,173 2,178 +0.2 1,178 1,179 +0.1 2,495 2,385 -4.4 1,762 1,739 -3.9 1,792 1,745 -2.6 389 369 -5.1 6,088 6,140 +0.9
Robbery
Rate 34.4 33.7 -1.8 27.8 30.3 +9.0 44.8 44.3 -1.0 37.7 36.0 -4.4 30.2 29.2 -3.4 31.0 29.7 -4.2 30.4 32.4 +6.6 43.0 38.7 -10.0 32.7 31.8 -2.9 29.5 28.1 +5.7 46.9 38.9 -17.1 31.8 32.6 +2.6 35.8 33.7 -5.8 23.2 22.8 -1.7 21.0 21.0 * 28.2 26.3 -6.6 40.8 39.5 -1.3 23.4 22.6 -3.5 21.4 20.4 -4.8 34.3 34.2 -0.2
Number 17,515 16,554 -5.5 1,298 1,313 +1.2 1,877 2,016 +7.4 5,433 4,770 -12.2 7,587 7,165 -5.6 1,129 1,108 -1.9 72 70 -2.8 119 112 -5.9 171,394 179,728 +4.9 97,580 103,124 +4.4 1,735 1,706 -1.7 3,829 4,261 +11.3 34,147 38,162 +11.8 15,509 17,340 +11.8 14,375 13,258 -7.8 13,484 13,548 +0.5 5,899 6,346 -3.2 7,749 7,651 -1.3 853 852 -0.1 24,932 25,355 +1.7
Rate 87.8 82.6 -6.0 43.5 43.9 +1.0 67.9 72.6 +6.9 105.1 91.8 -12.7 129.9 121.9 -6.1 63.8 62.4 -2.2 11.3 10.9 -3.4 15.2 14.1 -7.6 157.1 162.7 +3.6 170.8 178.2 -0.3 203.3 197.3 -3.0 658.4 724.3 +10.0 188.8 209.1 +10.8 165.6 181.7 +9.7 256.0 236.0 -7.8 152.2 149.5 -1.8 136.5 144.0 +7.6 101.4 99.2 -2.2 46.9 47.0 +0.2 140.4 141.3 +0.6
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Populations are U.S. Census Bureau provisional estimates as of July 1, 2007, and July 1, 2006. 2 The 2006 crime figures have been adjusted. 4 The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) have been estimated for inclusion in this table. 5 Includes offenses reported by the Zoological Police and the Metro Transit Police. * = Less than one-tenth of 1 percent.
36
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Aggravated assault Number
West North Central 4
Iowa
Kansas
Minnesota4
Missouri
Nebraska
North Dakota
South Dakota
South2, 5
South Atlantic5
Delaware
District of Columbia5
Florida
Georgia
Maryland
North Carolina
South Carolina
Virginia
West Virginia
East South Central
2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ......
50,533 49,621 -1.8 6,274 6,551 +4.4 8,506 9,212 +8.3 8,920 8,244 -7.6 22,161 20,418 -7.9 3,256 3,664 +12.5 540 622 +15.2 876 910 +3.9 382,853 384,107 +0.3 209,169 208,595 -0.3 3,640 3,881 +6.6 4,589 3,686 -19.7 87,044 86,366 -0.8 25,824 26,839 +3.9 22,011 21,072 -4.3 25,605 25,744 +0.5 25,058 26,309 +5.0 11,628 10,996 -5.4 3,770 3,702 -1.8 53,016 55,411 +4.5
Property crime
Rate 253.4 247.5 -2.3 210.4 219.2 +4.2 307.7 331.8 +7.8 172.6 158.6 -8.1 379.3 347.3 -8.4 184.1 206.5 +12.1 84.9 97.2 +14.5 112.0 114.3 +2.0 351.0 347.8 -0.9 366.0 360.5 -1.5 426.5 448.8 +5.2 789.1 626.6 -20.6 481.2 473.2 -1.7 275.8 281.2 +2.0 392.0 375.1 -4.3 289.1 284.1 -1.7 579.9 596.9 +2.9 152.1 142.6 -6.3 207.3 204.3 -1.5 298.6 308.8 +3.4
Number 654,384 639,208 -2.3 83,579 78,154 -6.5 103,658 102,120 -1.5 159,119 157,829 -0.8 223,570 219,759 -1.7 59,075 56,102 -5.0 12,719 12,088 -5.0 12,664 13,156 +3.9 4,124,293 4,199,649 +1.8 2,122,337 2,164,134 +2.0 29,171 29,143 -0.1 27,063 28,908 +6.8 721,084 746,347 +3.5 364,183 372,342 +2.2 195,476 192,796 -1.4 364,960 370,354 +1.5 183,322 188,282 +2.7 189,406 190,209 +0.4 47,672 45,753 -4.0 630,734 635,759 +0.8
Larcenytheft
Burglary Rate 3,281.4 3,188.0 -2.8 2,802.7 2,615.6 -6.7 3,750.2 3,678.7 -1.9 3,079.5 3,036.6 -1.4 3,826.5 3,738.4 -2.3 3,340.7 3,161.4 -5.4 2,000.3 1,889.6 -5.5 1,619.6 1,652.3 +2.0 3,780.8 3,802.1 +0.6 3,714.0 3,740.3 +0.7 3,417.9 3,370.1 -1.4 4,653.8 4,913.9 +5.6 3,986.1 4,089.3 +2.6 3,889.2 3,901.0 +0.3 3,480.9 3,431.5 -1.4 4,120.8 4,087.3 -0.8 4,242.3 4,271.7 +0.7 2,478.2 2,466.4 -0.5 2,621.5 2,525.0 -3.7 3,552.5 3,542.9 -0.3
Number 127,324 123,908 -2.7 18,017 16,941 -6.0 19,992 20,263 +1.4 30,173 29,670 -1.7 44,647 43,446 -2.7 9,452 9,046 -4.3 2,393 2,164 -9.6 2,650 2,378 -10.3 985,937 1,018,197 +3.3 497,094 516,401 +3.9 6,189 6,341 +2.5 3,835 3,926 +2.4 170,873 181,833 +6.4 85,117 90,690 +6.5 37,457 37,095 -1.0 107,407 108,800 +1.3 42,772 45,214 +5.7 31,913 31,688 -0.7 11,531 10,814 -6.2 161,791 162,688 +0.6
Rate 638.5 618.0 -3.2 604.2 567.0 -6.2 723.3 729.9 +0.9 583.9 570.8 -2.2 764.1 739.1 -3.3 534.5 509.8 -4.6 376.3 338.3 -10.1 338.9 298.7 -11.9 903.8 921.8 +2.0 869.9 892.5 +2.6 725.2 733.3 +1.1 659.5 667.4 +1.2 944.6 996.3 +5.5 909.0 950.2 +4.5 667.0 660.2 -1.0 1,212.7 1,200.7 -1.0 989.8 1,025.8 +3.6 417.6 410.9 -1.6 634.1 596.8 -5.9 911.3 906.6 -0.5
Number 467,771 458,691 -1.9 60,556 56,328 -7.0 74,963 73,293 -2.2 115,567 115,633 +0.1 153,490 152,529 -0.6 44,585 41,855 -6.1 9,314 9,010 -3.3 9,296 10,043 +8.0 2,725,921 2,782,863 +2.1 1,399,721 1,430,636 +2.2 20,166 20,486 +1.6 15,907 17,382 +9.3 473,774 490,858 +3.6 235,903 239,058 +1.3 127,497 127,308 -0.1 227,427 233,588 +2.7 124,148 126,042 +1.5 142,679 144,467 +1.3 32,220 31,447 -2.4 413,920 421,127 +1.7
Motor vehicle theft Rate 2,345.6 2,287.7 -2.5 2,030.7 1,885.1 -7.2 2,712.0 2,640.2 -2.6 2,236.6 2,224.7 -0.5 2,627.0 2,594.7 -1.2 2,521.3 2,358.6 -6.5 1,464.8 1,408.4 -3.8 1,188.9 1,261.3 +6.1 2,498.9 2,519.5 +0.8 2,449.5 2,472.6 +0.9 2,362.8 2,369.0 +0.3 2,735.4 2,954.7 +8.0 2,619.0 2,689.4 +2.7 2,519.3 2,504.6 -0.6 2,270.4 2,265.9 -0.2 2,567.9 2,577.9 +0.4 2,873.0 2,859.6 -0.5 1,866.8 1,873.3 +0.3 1,771.8 1,735.5 -2.1 2,331.4 2,346.8 +0.7
Number 59,289 56,609 -4.5 5,006 4,885 -2.4 8,703 8,564 -1.6 13,379 12,526 -6.4 25,433 23,784 -6.5 5,038 5,201 +3.2 1,012 914 -9.7 718 735 +2.4 412,435 398,589 -3.4 225,522 217,097 -3.7 2,816 2,316 -17.8 7,321 7,600 +3.8 76,437 73,656 -3.6 43,163 42,594 -1.3 30,522 28,393 -7.0 30,126 27,966 -7.2 16,402 17,026 +3.8 14,814 14,054 -5.1 3,921 3,492 -10.9 55,023 51,944 -5.6
Rate 297.3 282.3 -5.0 167.9 163.5 -2.6 314.9 308.5 -2.0 258.9 241.0 -6.9 435.3 404.6 -7.1 284.9 293.1 +2.9 159.2 142.9 -10.2 91.8 92.3 +0.5 378.1 360.9 -4.6 394.7 375.2 -4.9 329.9 267.8 -18.8 1,258.9 1,291.9 +2.6 422.5 403.6 -4.5 460.9 446.3 -3.2 543.5 505.4 -7.0 340.2 308.6 -9.3 379.6 386.3 +1.8 193.8 182.2 -6.0 215.6 192.7 -10.6 309.9 289.5 -6.6
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 2 The 2006 crime figures have been adjusted. 4 The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) have been estimated for inclusion in this table. 5 Includes offenses reported by the Zoological Police and the Metro Transit Police.
SECTION II: OFFENSES REPORTED 37 Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Population1
Number Alabama
Kentucky
Mississippi
Tennessee
West South Central2
Arkansas
Louisiana2
Oklahoma
Texas
West2
Mountain
Arizona
Colorado
Idaho
Montana
Nevada
New Mexico
Utah
Wyoming
Pacific2
Alaska
2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change .....
4,599,030 4,627,851 4,206,074 4,241,474 2,910,540 2,918,785 6,038,803 6,156,719 34,185,635 34,649,697 2,810,872 2,834,797 4,287,768 4,293,204 3,579,212 3,617,316 23,507,783 23,904,380 69,355,643 70,096,950 20,845,987 21,360,990 6,166,318 6,338,755 4,753,377 4,861,515 1,466,465 1,499,402 944,632 957,861 2,495,529 2,565,382 1,954,599 1,969,915 2,550,063 2,645,330 515,004 522,830 48,509,656 48,735,960 670,053 683,478
Murder and nonnegligent manslaughter
Violent crime
19,557 20,732 +6.0 11,063 12,513 +13.1 8,691 8,502 -2.2 45,907 46,380 +1.0 184,604 186,450 +1.0 15,506 15,007 -3.2 29,917 31,317 +4.7 17,803 18,072 +1.5 121,378 122,054 +0.6 328,427 325,020 -1.0 93,590 93,652 +0.1 30,916 30,600 -1.0 18,616 16,906 -9.2 3,625 3,589 -1.0 2,397 2,754 +14.9 18,508 19,257 +4.0 12,572 13,085 +4.1 5,722 6,210 +8.5 1,234 1,251 +1.4 234,837 231,368 -1.5 4,610 4,519 -2.0
Rate 425.2 448.0 +5.3 263.0 295.0 +12.2 298.6 291.3 -2.5 760.2 753.3 -0.9 540.0 538.1 -0.4 551.6 529.4 -4.0 697.7 729.5 +4.5 497.4 499.6 +0.4 516.3 510.6 -1.1 473.5 463.7 -2.1 449.0 438.4 -2.3 501.4 482.7 -3.7 391.6 347.8 -11.2 247.2 239.4 -3.2 253.7 287.5 +13.3 741.6 750.6 +1.2 643.2 664.2 +3.3 224.4 234.8 +4.6 239.6 239.3 -0.1 484.1 474.7 -1.9 688.0 661.2 -3.9
Number 382 412 +7.9 168 204 +21.4 223 208 -6.7 409 397 -2.9 2,324 2,441 +5.0 205 191 -6.8 528 608 +15.2 207 222 +7.2 1,384 1,420 +2.6 3,904 3,684 -5.6 1,087 1,112 +2.3 465 468 +0.6 158 153 -3.2 36 49 +36.1 17 14 -17.6 224 192 -14.3 132 162 +22.7 46 58 +26.1 9 16 +77.8 2,817 2,572 -8.7 36 44 +22.2
Rate 8.3 8.9 +7.2 4.0 4.8 +20.4 7.7 7.1 -7.0 6.8 6.4 -4.8 6.8 7.0 +3.6 7.3 6.7 -7.6 12.3 14.2 +15.0 5.8 6.1 +6.1 5.9 5.9 +0.9 5.6 5.3 -6.6 5.2 5.2 -0.2 7.5 7.4 -2.1 3.3 3.1 -5.3 2.5 3.3 +33.1 1.8 1.5 -18.8 9.0 7.5 -16.6 6.8 8.2 +21.8 1.8 2.2 +21.5 1.7 3.1 +75.1 5.8 5.3 -9.1 5.4 6.4 +19.8
Forcible rape Number 1,649 1,545 -6.3 1,297 1,381 +6.5 1,000 1,040 +4.0 2,142 2,174 +1.5 12,730 12,659 -0.6 1,308 1,268 -3.1 1,562 1,393 -10.8 1,488 1,559 +4.8 8,372 8,439 +0.8 22,072 21,670 -1.8 8,055 7,918 -1.7 1,941 1,856 -4.4 2,076 1,998 -3.8 587 578 -1.5 269 290 +7.8 1,079 1,096 +1.6 1,094 1,032 -5.7 869 908 +4.5 140 160 +14.3 14,017 13,752 -1.9 509 529 +3.9
Robbery
Rate 35.9 33.4 -6.9 30.8 32.6 +5.6 34.4 35.6 +3.7 35.5 35.3 -0.4 37.2 36.5 -1.9 46.5 44.7 -3.9 36.4 32.4 -10.9 41.6 43.1 +3.7 35.6 35.3 -0.9 31.8 30.9 -2.9 38.6 37.1 -4.1 31.5 29.3 -7.0 43.7 41.1 -5.9 40.0 38.5 -3.7 28.5 30.3 +6.3 43.2 42.7 -1.2 56.0 52.4 -6.4 34.1 34.3 +0.7 27.2 30.6 +12.6 28.9 28.2 -2.3 76.0 77.4 +1.9
Number
Rate
7,059 7,398 +4.8 3,626 4,069 +12.2 3,118 2,866 -8.1 11,129 11,022 -1.0 48,882 51,249 +4.8 2,766 3,024 +9.3 5,729 6,083 +6.2 3,133 3,373 +7.7 37,254 38,769 +4.1 105,785 105,397 -0.4 23,975 24,252 +1.2 9,226 9,618 +4.2 3,835 3,453 -10.0 301 233 -22.6 164 191 +16.5 7,027 6,932 -1.4 2,105 2,321 +10.3 1,245 1,420 +14.1 72 84 +16.7 81,810 81,145 -0.8 605 583 -3.6
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Populations are U.S. Census Bureau provisional estimates as of July 1, 2007, and July 1, 2006. 2 The 2006 crime figures have been adjusted.
153.5 159.9 +4.1 86.2 95.9 +11.3 107.1 98.2 -8.3 184.3 179.0 -2.9 143.0 147.9 +3.4 98.4 106.7 +8.4 133.6 141.7 +6.0 87.5 93.2 +6.5 158.5 162.2 +2.3 152.5 150.4 -1.4 115.0 113.5 -1.3 149.6 151.7 +1.4 80.7 71.0 -12.0 20.5 15.5 -24.3 17.4 19.9 +14.9 281.6 270.2 -4.0 107.7 117.8 +9.4 48.8 53.7 +9.9 14.0 16.1 +14.9 168.6 166.5 -1.3 90.3 85.3 -5.5
38
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Aggravated assault Number
Alabama
Kentucky
Mississippi
Tennessee
West South Central2
Arkansas
Louisiana2
Oklahoma
Texas
West2
Mountain
Arizona
Colorado
Idaho
Montana
Nevada
New Mexico
Utah
Wyoming
Pacific2
Alaska
2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ......
10,467 11,377 +8.7 5,972 6,859 +14.9 4,350 4,388 +0.9 32,227 32,787 +1.7 120,668 120,101 -0.5 11,227 10,524 -6.3 22,098 23,233 +5.1 12,975 12,918 -0.4 74,368 73,426 -1.3 196,666 194,269 -1.2 60,473 60,370 -0.2 19,284 18,658 -3.2 12,547 11,302 -9.9 2,701 2,729 +1.0 1,947 2,259 +16.0 10,178 11,037 +8.4 9,241 9,570 +3.6 3,562 3,824 +7.4 1,013 991 -2.2 136,193 133,899 -1.7 3,460 3,363 -2.8
Property crime
Rate 227.6 245.8 +8.0 142.0 161.7 +13.9 149.5 150.3 +0.6 533.7 532.5 -0.2 353.0 346.6 -1.8 399.4 371.2 -7.1 515.4 541.2 +5.0 362.5 357.1 -1.5 316.4 307.2 -2.9 283.6 277.1 -2.3 290.1 282.6 -2.6 312.7 294.3 -5.9 264.0 232.5 -11.9 184.2 182.0 -1.2 206.1 235.8 +14.4 407.8 430.2 +5.5 472.8 485.8 +2.8 139.7 144.6 +3.5 196.7 189.5 -3.6 280.8 274.7 -2.1 516.4 492.0 -4.7
Number 181,021 183,798 +1.5 107,023 106,813 -0.2 93,393 93,424 * 249,297 251,724 +1.0 1,371,222 1,399,756 +2.1 111,521 112,061 +0.5 171,239 174,991 +2.2 129,002 127,562 -1.1 959,460 985,142 +2.7 2,451,277 2,342,855 -4.4 794,295 763,997 -3.8 285,370 279,794 -2.0 164,054 146,141 -10.9 35,471 33,685 -5.0 25,387 26,489 +4.3 102,036 96,916 -5.0 76,956 73,394 -4.6 89,671 92,594 +3.3 15,350 14,984 -2.4 1,656,982 1,578,858 -4.7 24,155 23,098 -4.4
Larcenytheft
Burglary Rate 3,936.1 3,971.6 +0.9 2,544.5 2,518.3 -1.0 3,208.8 3,200.8 -0.2 4,128.3 4,088.6 -1.0 4,011.1 4,039.7 +0.7 3,967.5 3,953.1 -0.4 3,993.7 4,076.0 +2.1 3,604.2 3,526.4 -2.2 4,081.5 4,121.2 +1.0 3,534.4 3,342.3 -5.4 3,810.3 3,576.6 -6.1 4,627.9 4,414.0 -4.6 3,451.3 3,006.1 -12.9 2,418.8 2,246.6 -7.1 2,687.5 2,765.4 +2.9 4,088.8 3,777.8 -7.6 3,937.2 3,725.7 -5.4 3,516.4 3,500.3 -0.5 2,980.6 2,865.9 -3.8 3,415.8 3,239.6 -5.2 3,604.9 3,379.5 -6.3
Number 44,571 45,331 +1.7 27,122 27,683 +2.1 27,239 27,959 +2.6 62,859 61,715 -1.8 327,052 339,108 +3.7 32,042 32,072 +0.1 44,986 44,602 -0.9 34,377 34,121 -0.7 215,647 228,313 +5.9 504,183 483,630 -4.1 162,688 158,301 -2.7 57,055 57,825 +1.3 32,422 28,751 -11.3 7,526 6,977 -7.3 2,935 3,027 +3.1 24,820 24,840 +0.1 20,909 18,992 -9.2 14,701 15,541 +5.7 2,320 2,348 +1.2 341,495 325,329 -4.7 4,136 3,682 -11.0
Rate 969.1 979.5 +1.1 644.8 652.7 +1.2 935.9 957.9 +2.4 1,040.9 1,002.4 -3.7 956.7 978.7 +2.3 1,139.9 1,131.4 -0.8 1,049.2 1,038.9 -1.0 960.5 943.3 -1.8 917.3 955.1 +4.1 727.0 689.9 -5.1 780.4 741.1 -5.0 925.3 912.2 -1.4 682.1 591.4 -13.3 513.2 465.3 -9.3 310.7 316.0 +1.7 994.6 968.3 -2.6 1,069.7 964.1 -9.9 576.5 587.5 +1.9 450.5 449.1 -0.3 704.0 667.5 -5.2 617.3 538.7 -12.7
Number 121,610 124,237 +2.2 70,658 70,455 -0.3 57,807 58,084 +0.5 163,845 168,351 +2.8 912,280 931,100 +2.1 72,016 72,979 +1.3 110,613 115,209 +4.2 81,267 79,982 -1.6 648,384 662,930 +2.2 1,508,668 1,468,489 -2.7 506,525 495,656 -2.1 173,466 173,580 +0.1 110,837 100,598 -9.2 25,516 24,482 -4.1 20,704 21,707 +4.8 50,255 49,745 -1.0 46,822 45,463 -2.9 66,671 68,241 +2.4 12,254 11,840 -3.4 1,002,143 972,833 -2.9 17,490 16,998 -2.8
Motor vehicle theft Rate 2,644.3 2,684.6 +1.5 1,679.9 1,661.1 -1.1 1,986.1 1,990.0 +0.2 2,713.2 2,734.4 +0.8 2,668.6 2,687.2 +0.7 2,562.1 2,574.4 +0.5 2,579.7 2,683.5 +4.0 2,270.5 2,211.1 -2.6 2,758.2 2,773.3 +0.5 2,175.3 2,094.9 -3.7 2,429.8 2,320.4 -4.5 2,813.1 2,738.4 -2.7 2,331.8 2,069.3 -11.3 1,740.0 1,632.8 -6.2 2,191.8 2,266.2 +3.4 2,013.8 1,939.1 -3.7 2,395.5 2,307.9 -3.7 2,614.5 2,579.7 -1.3 2,379.4 2,264.6 -4.8 2,065.9 1,996.1 -3.4 2,610.2 2,487.0 -4.7
Number
Rate
14,840 14,230 -4.1 9,243 8,675 -6.1 8,347 7,381 -11.6 22,593 21,658 -4.1 131,890 129,548 -1.8 7,463 7,010 -6.1 15,640 15,180 -2.9 13,358 13,459 +0.8 95,429 93,899 -1.6 438,426 390,736 -10.9 125,082 110,040 -12.0 54,849 48,389 -11.8 20,795 16,792 -19.2 2,429 2,226 -8.4 1,748 1,755 +0.4 26,961 22,331 -17.2 9,225 8,939 -3.1 8,299 8,812 +6.2 776 796 +2.6 313,344 280,696 -10.4 2,529 2,418 -4.4
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 2 The 2006 crime figures have been adjusted.
322.7 307.5 -4.7 219.8 204.5 -6.9 286.8 252.9 -11.8 374.1 351.8 -6.0 385.8 373.9 -3.1 265.5 247.3 -6.9 364.8 353.6 -3.1 373.2 372.1 -0.3 405.9 392.8 -3.2 632.1 557.4 -11.8 600.0 515.1 -14.1 889.5 763.4 -14.2 437.5 345.4 -21.0 165.6 148.5 -10.4 185.0 183.2 -1.0 1,080.4 870.5 -19.4 472.0 453.8 -3.9 325.4 333.1 +2.4 150.7 152.2 +1.0 645.9 576.0 -10.8 377.4 353.8 -6.3
SECTION II: OFFENSES REPORTED 39 Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Population1
Number California2
Hawaii
Oregon
Washington
Puerto Rico
2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change ..... 2006........................ 2007........................ Percent change .....
36,457,549 36,553,215 1,285,498 1,283,388 3,700,758 3,747,455 6,395,798 6,468,424 3,927,776 3,941,459
Murder and nonnegligent manslaughter
Violent crime
194,119 191,025 -1.6 3,615 3,501 -3.2 10,373 10,777 +3.9 22,120 21,546 -2.6 8,929 8,942 +0.1
Rate 532.5 522.6 -1.9 281.2 272.8 -3.0 280.3 287.6 +2.6 345.9 333.1 -3.7 227.3 226.9 -0.2
Number 2,484 2,260 -9.0 21 22 +4.8 86 73 -15.1 190 173 -8.9 739 728 -1.5
Rate 6.8 6.2 -9.3 1.6 1.7 +4.9 2.3 1.9 -16.2 3.0 2.7 -10.0 18.8 18.5 -1.8
Forcible rape Number 9,212 9,013 -2.2 355 326 -8.2 1,195 1,255 +5.0 2,746 2,629 -4.3 118 97 -17.8
Robbery
Rate 25.3 24.7 -2.4 27.6 25.4 -8.0 32.3 33.5 +3.7 42.9 40.6 -5.3 3.0 2.5 -18.1
Number
Rate
70,968 70,542 -0.6 1,143 1,105 -3.3 2,689 2,862 +6.4 6,405 6,053 -5.5 5,245 5,134 -2.1
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. are U.S. Census Bureau provisional estimates as of July 1, 2007, and July 1, 2006. 2 The 2006 crime figures have been adjusted. 1 Populations
194.7 193.0 -0.9 88.9 86.1 -3.2 72.7 76.4 +5.1 100.1 93.6 -6.6 133.5 130.3 -2.5
40
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 4.
Crime, by Region, Geographic Division, and State, 2006–2007 (Contd.)
(Number, rate per 100,000 population, percent.)
Area
Year
Aggravated assault Number
California2
Hawaii
Oregon
Washington
Puerto Rico
2 The
2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ...... 2006......................... 2007......................... Percent change ......
2006 crime figures have been adjusted.
111,455 109,210 -2.0 2,096 2,048 -2.3 6,403 6,587 +2.9 12,779 12,691 -0.7 2,827 2,983 +5.5
Property crime
Rate 305.7 298.8 -2.3 163.0 159.6 -2.1 173.0 175.8 +1.6 199.8 196.2 -1.8 72.0 75.7 +5.2
Number 1,156,017 1,108,660 -4.1 54,382 54,228 -0.3 135,895 132,143 -2.8 286,533 260,729 -9.0 53,197 53,937 +1.4
Larcenytheft
Burglary Rate 3,170.9 3,033.0 -4.3 4,230.4 4,225.4 -0.1 3,672.1 3,526.2 -4.0 4,480.0 4,030.8 -10.0 1,354.4 1,368.5 +1.0
Number 246,464 237,025 -3.8 8,709 9,097 +4.5 23,879 22,821 -4.4 58,307 52,704 -9.6 16,668 17,160 +3.0
Rate 676.0 648.4 -4.1 677.5 708.8 +4.6 645.2 609.0 -5.6 911.6 814.8 -10.6 424.4 435.4 +2.6
Number 666,860 652,243 -2.2 37,910 38,416 +1.3 97,556 94,773 -2.9 182,327 170,403 -6.5 27,936 28,955 +3.6
Motor vehicle theft Rate 1,829.1 1,784.4 -2.4 2,949.1 2,993.3 +1.5 2,636.1 2,529.0 -4.1 2,850.7 2,634.4 -7.6 711.2 734.6 +3.3
Number 242,693 219,392 -9.6 7,763 6,715 -13.5 14,460 14,549 +0.6 45,899 37,622 -18.0 8,593 7,822 -9.0
Rate 665.7 600.2 -9.8 603.9 523.2 -13.4 390.7 388.2 -0.6 717.6 581.6 -19.0 218.8 198.5 -9.3
SECTION II: OFFENSES REPORTED 41 Table 5.
Crime, by State and Area, 2007
(Number, percent, rate per 100,000 population.)
State
ALABAMA
ALASKA
ARIZONA
ARKANSAS
CALIFORNIA
COLORADO
CONNECTICUT
Area
Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting ................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ...........
Population
3,287,653 88.9% 100.0% 596,064 79.9% 100.0% 744,134 93.1% 100.0% 4,627,851 337,152 100.0% 122,393 87.0% 100.0% 223,933 100.0% 683,478 5,866,030 98.1% 100.0% 200,991 90.3% 100.0% 271,734 75.4% 100.0% 6,338,755 1,678,066 97.6% 100.0% 496,464 97.5% 100.0% 660,267 89.4% 100.0% 2,834,797 35,709,515 100.0% 271,704 100.0% 571,996 100.0% 36,553,215 4,187,300 97.8% 100.0% 304,013 93.8% 100.0% 370,202 95.1% 100.0% 4,861,515 2,824,885 100.0% 159,553 100.0% 517,871 100.0% 3,502,309
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
14,985 16,244
325 348
1,031 1,122
6,199 6,582
7,430 8,192
133,325 145,518
33,003 35,999
89,311 97,554
11,011 11,965
2,701 3,355
41 51
190 235
588 724
1,882 2,345
22,925 28,425
4,915 6,100
16,836 20,871
1,174 1,454
1,055 1,133 20,732 448.0
12 13 412 8.9
175 188 1,545 33.4
86 92 7,398 159.9
782 840 11,377 245.8
9,175 9,855 183,798 3,971.6
3,009 3,232 45,331 979.5
5,411 5,812 124,237 2,684.6
755 811 14,230 307.5
2,801
27
308
501
1,965
13,750
1,810
10,414
1,526
622 715
5 6
113 130
35 40
469 539
4,019 4,620
509 585
3,210 3,690
300 345
1,003 4,519 661.2
11 44 6.4
91 529 77.4
42 583 85.3
859 3,363 492.0
4,728 23,098 3,379.5
1,287 3,682 538.7
2,894 16,998 2,487.0
547 2,418 353.8
27,879 28,272
451 455
1,735 1,763
9,398 9,504
16,295 16,550
262,499 267,026
53,089 54,115
163,034 165,928
46,376 46,983
915 1,013
8 9
51 56
73 81
783 867
7,155 7,925
1,645 1,822
4,848 5,370
662 733
991 1,315 30,600 482.7
3 4 468 7.4
28 37 1,856 29.3
25 33 9,618 151.7
935 1,241 18,658 294.3
3,650 4,843 279,794 4,414.0
1,423 1,888 57,825 912.2
1,720 2,282 173,580 2,738.4
507 673 48,389 763.4
11,008 11,146
142 143
866 879
2,556 2,571
7,444 7,553
77,783 78,826
21,267 21,631
51,318 51,923
5,198 5,272
2,598 2,666
28 29
234 240
383 393
1,953 2,004
22,372 22,951
6,806 6,982
14,634 15,013
932 956
1,068 1,195 15,007 529.4
17 19 191 6.7
133 149 1,268 44.7
54 60 3,024 106.7
864 967 10,524 371.2
9,193 10,284 112,061 3,953.1
3,092 3,459 32,072 1,131.4
5,402 6,043 72,979 2,574.4
699 782 7,010 247.3
187,861
2,230
8,720
70,239
106,672
1,090,484
231,611
641,384
217,489
1,413
14
127
179
1,093
9,310
2,372
6,151
787
1,751 191,025 522.6
16 2,260 6.2
166 9,013 24.7
124 70,542 193.0
1,445 109,210 298.8
8,866 1,108,660 3,033.0
3,042 237,025 648.4
4,708 652,243 1,784.4
1,116 219,392 600.2
14,950 15,191
137 139
1,760 1,794
3,309 3,357
9,744 9,901
128,489 131,549
25,660 26,166
87,127 89,363
15,702 16,020
1,084 1,156
9 10
140 149
76 81
859 916
10,250 10,932
1,609 1,716
8,200 8,746
441 470
531 559 16,906 347.8
4 4 153 3.1
52 55 1,998 41.1
14 15 3,453 71.0
461 485 11,302 232.5
3,479 3,660 146,141 3,006.1
826 869 28,751 591.4
2,366 2,489 100,598 2,069.3
287 302 16,792 345.4
8,231
89
536
3,439
4,167
76,390
13,152
54,737
8,501
247
2
31
74
140
2,861
607
2,019
235
487 8,965 256.0
15 106 3.0
91 658 18.8
94 3,607 103.0
287 4,594 131.2
4,801 84,052 2,399.9
1,403 15,162 432.9
2,967 59,723 1,705.2
431 9,167 261.7
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.
42
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
DELAWARE
DISTRICT OF COLUMBIA1
FLORIDA
GEORGIA
HAWAII
IDAHO
ILLINOIS2, 3 INDIANA
Area
Population
Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ...........
680,718 98.4% 100.0% 40,467 100.0% 143,579 100.0% 864,764
Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Nonmetropolitan counties............... Total ................................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ...........
588,292 100.0% None None 588,292 17,180,667 99.9% 100.0% 184,643 97.7% 100.0% 885,933 99.1% 100.0% 18,251,243 7,760,436 98.5% 100.0% 664,213 82.6% 100.0% 1,120,101 85.8% 100.0% 9,544,750 905,903 100.0% None 377,485 100.0% 1,283,388 979,999 100.0% 233,900 99.3% 100.0% 285,503 100.0% 1,499,402 12,852,548 4,946,193 88.8% 100.0% 503,396 84.5% 100.0% 895,700 61.3% 100.0% 6,345,289
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
4,741 4,813
32 32
246 250
1,472 1,492
2,991 3,039
23,010 23,507
4,613 4,703
16,363 16,743
2,034 2,061
416
2
25
119
270
2,147
482
1,606
59
731 5,960 689.2
3 37 4.3
61 336 38.9
95 1,706 197.3
572 3,881 448.8
3,489 29,143 3,370.1
1,156 6,341 733.3
2,137 20,486 2,369.0
196 2,316 267.8
8,320
181
192
4,261
3,686
28,908
3,926
17,382
7,600
8,320 1,414.3
181 30.8
192 32.6
4,261 724.3
3,686 626.6
28,908 4,913.9
3,926 667.4
17,382 2,954.7
7,600 1,291.9
125,870 126,008
1,142 1,142
5,812 5,818
37,477 37,524
81,439 81,524
715,291 716,225
172,079 172,284
471,775 472,417
71,437 71,524
1,907 1,951
9 9
100 102
306 313
1,492 1,527
9,030 9,243
2,245 2,298
6,244 6,391
541 554
3,887 3,921 131,880 722.6
50 50 1,201 6.6
229 231 6,151 33.7
322 325 38,162 209.1
3,286 3,315 86,366 473.2
20,694 20,879 746,347 4,089.3
7,187 7,251 181,833 996.3
11,943 12,050 490,858 2,689.4
1,564 1,578 73,656 403.6
39,218 39,753
632 638
1,748 1,773
15,936 16,136
20,902 21,206
308,050 312,629
75,462 76,491
193,880 196,926
38,708 39,212
3,955 4,788
38 46
216 262
802 970
2,899 3,510
29,282 35,438
6,022 7,285
22,055 26,695
1,205 1,458
2,175 2,534 47,075 493.2
29 34 718 7.5
123 143 2,178 22.8
201 234 17,340 181.7
1,822 2,123 26,839 281.2
20,833 24,275 372,342 3,901.0
5,934 6,914 90,690 950.2
13,248 15,437 239,058 2,504.6
1,651 1,924 42,594 446.3
2,613
19
226
943
1,425
37,197
5,777
26,483
4,937
888 3,501 272.8
3 22 1.7
100 326 25.4
162 1,105 86.1
623 2,048 159.6
17,031 54,228 4,225.4
3,320 9,097 708.8
11,933 38,416 2,993.3
1,778 6,715 523.2
2,630
24
442
190
1,974
24,952
5,016
18,229
1,707
506 509
7 7
61 61
27 27
411 414
5,500 5,538
1,141 1,149
4,084 4,112
275 277
450 3,589 239.4 68,528 533.2
18 49 3.3 752 5.9
75 578 38.5 4,103 31.9
16 233 15.5 23,100 179.7
341 2,729 182.0 40,573 315.7
3,195 33,685 2,246.6 377,322 2,935.8
812 6,977 465.3 75,524 587.6
2,141 24,482 1,632.8 267,911 2,084.5
242 2,226 148.5 33,887 263.7
18,785 19,538
312 323
1,379 1,450
7,364 7,560
9,730 10,205
170,210 181,836
37,499 39,817
115,911 124,301
16,800 17,718
803 950
8 9
120 142
213 252
462 547
18,895 22,364
3,355 3,971
14,589 17,267
951 1,126
416 677 21,165 333.6
15 24 356 5.6
92 150 1,742 27.5
37 60 7,872 124.1
272 443 11,195 176.4
6,945 11,326 215,526 3,396.6
1,920 3,131 46,919 739.4
4,588 7,482 149,050 2,349.0
437 713 19,557 308.2
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 1 Includes offenses reported by the Zoological Police and the Metro Transit Police. 2 Limited data for 2007 were available for Illinois. 3 The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) have been estimated for inclusion in this table.
SECTION II: OFFENSES REPORTED 43 Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
IOWA
KANSAS
KENTUCKY
LOUISIANA
MAINE
MARYLAND
MASSACHUSETTS
Area
Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ...........
Population
1,655,199 98.8% 100.0% 593,280 93.1% 100.0% 739,567 95.2% 100.0% 2,988,046 1,770,487 99.3% 100.0% 594,489 95.1% 100.0% 411,021 98.7% 100.0% 2,775,997 2,413,353 95.3% 100.0% 522,435 88.3% 100.0% 1,305,686 87.6% 100.0% 4,241,474 3,157,645 97.0% 100.0% 386,025 56.8% 100.0% 749,534 85.7% 100.0% 4,293,204 766,722 100.0% 277,589 100.0% 272,896 100.0% 1,317,207 5,319,855 100.0% 77,469 100.0% 221,020 100.0% 5,618,344 6,423,818 98.6% 100.0% 24,883 58.4% 100.0% 1,054 100.0% 6,449,755
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
6,279 6,317
26 26
654 658
1,130 1,134
4,469 4,499
54,703 55,171
11,219 11,296
39,909 40,279
3,575 3,596
1,830 1,966
8 9
176 189
159 171
1,487 1,597
16,843 18,092
3,643 3,913
12,349 13,265
851 914
497 522 8,805 294.7
2 2 37 1.2
54 57 904 30.3
8 8 1,313 43.9
433 455 6,551 219.2
4,657 4,891 78,154 2,615.6
1,649 1,732 16,941 567.0
2,651 2,784 56,328 1,885.1
357 375 4,885 163.5
8,835 8,877
82 82
789 793
1,747 1,752
6,217 6,250
71,193 71,572
13,336 13,394
50,815 51,111
7,042 7,067
2,603 2,737
14 15
299 314
216 227
2,074 2,181
22,562 23,725
4,583 4,819
16,975 17,850
1,004 1,056
940 952 12,566 452.7
10 10 107 3.9
122 124 1,231 44.3
37 37 2,016 72.6
771 781 9,212 331.8
6,733 6,823 102,120 3,678.7
2,023 2,050 20,263 729.9
4,275 4,332 73,293 2,640.2
435 441 8,564 308.5
9,349 9,632
123 124
683 714
3,457 3,551
5,086 5,243
71,274 74,138
17,037 17,676
48,239 50,272
5,998 6,190
1,072 1,215
10 11
148 168
277 314
637 722
14,134 16,013
3,042 3,446
10,343 11,718
749 849
1,467 1,666 12,513 295.0
68 69 204 4.8
437 499 1,381 32.6
179 204 4,069 95.9
783 894 6,859 161.7
14,595 16,662 106,813 2,518.3
5,747 6,561 27,683 652.7
7,415 8,465 70,455 1,661.1
1,433 1,636 8,675 204.5
23,693 24,288
526 534
1,054 1,086
5,382 5,466
16,731 17,202
136,917 141,187
34,187 35,024
89,571 92,736
13,159 13,427
1,883 3,273
16 28
68 118
214 372
1,585 2,755
9,892 17,312
2,437 4,287
7,052 12,324
403 701
3,217 3,756 31,317 729.5
39 46 608 14.2
162 189 1,393 32.4
210 245 6,083 141.7
2,806 3,276 23,233 541.2
14,126 16,492 174,991 4,076.0
4,532 5,291 44,602 1,038.9
8,693 10,149 115,209 2,683.5
901 1,052 15,180 353.6
943
13
208
280
442
20,107
4,001
15,261
845
451
3
127
57
264
8,172
1,463
6,489
220
160 1,554 118.0
5 21 1.6
56 391 29.7
12 349 26.5
87 793 60.2
3,713 31,992 2,428.8
1,212 6,676 506.8
2,307 24,057 1,826.4
194 1,259 95.6
34,906
546
1,103
13,044
20,213
184,165
35,066
121,111
27,988
506
3
37
130
336
4,236
739
3,369
128
650 36,062 641.9
4 553 9.8
39 1,179 21.0
84 13,258 236.0
523 21,072 375.1
4,395 192,796 3,431.5
1,290 37,095 660.2
2,828 127,308 2,265.9
277 28,393 505.4
27,550 27,799
183 184
1,613 1,631
6,954 7,003
18,800 18,981
152,065 153,805
35,135 35,570
102,096 103,262
14,834 14,973
20 33
0 0
2 3
2 3
16 27
258 441
54 92
193 330
11 19
0 27,832 431.5
0 184 2.9
0 1,634 25.3
0 7,006 108.6
0 19,008 294.7
0 154,246 2,391.5
0 35,662 552.9
0 103,592 1,606.1
0 14,992 232.4
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.
44
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
MICHIGAN
MINNESOTA3
MISSISSIPPI
MISSOURI
MONTANA
NEBRASKA
NEVADA
Area
Population
Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ...........
8,199,839 98.9% 100.0% 645,093 91.9% 100.0% 1,226,890 99.3% 100.0% 10,071,822 3,781,574 96.4% 100.0% 565,183 99.3% 100.0% 850,864 99.3% 100.0% 5,197,621 1,274,426 79.0% 100.0% 594,355 81.1% 100.0% 1,050,004 45.3% 100.0% 2,918,785 4,306,270 99.9% 100.0% 687,617 98.7% 100.0% 884,528 100.0% 5,878,415 333,341 99.8% 100.0% 202,745 93.9% 100.0% 421,775 96.4% 100.0% 957,861 1,020,285 100.0% 396,873 88.1% 100.0% 357,413 86.2% 100.0% 1,774,571 2,298,734 100.0% 46,510 100.0% 220,138 100.0% 2,565,382
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
49,735 50,027
635 636
3,397 3,427
13,144 13,209
32,559 32,755
266,389 269,119
65,383 65,902
160,764 162,695
40,242 40,522
1,483 1,580
10 11
344 366
124 131
1,005 1,072
18,140 19,436
2,772 2,974
14,824 15,874
544 588
2,363 2,381 53,988 536.0
29 29 676 6.7
780 786 4,579 45.5
73 74 13,414 133.2
1,481 1,492 35,319 350.7
20,071 20,220 308,775 3,065.7
6,504 6,552 75,428 748.9
12,534 12,627 191,196 1,898.3
1,033 1,041 42,151 418.5
12,106 12,306
96 98
625 625
4,555 4,623
6,830 6,960
123,822 128,390
22,884 23,555
90,385 94,012
10,553 10,823
6 6
112 113
688 693
18,332 18,462
2,786 2,806
14,736 14,840
810 816
15,003 288.7
12 12 116 2.2
1,873 36.0
34 34 4,770 91.8
587 591 8,244 158.6
10,896 10,977 157,829 3,036.6
3,285 3,309 29,670 570.8
6,731 6,781 115,633 2,224.7
880 887 12,526 241.0
3,651 4,181
89 103
382 446
1,630 1,756
1,550 1,876
42,370 49,868
11,583 13,548
26,770 31,666
4,017 4,654
1,924 2,371
48 59
251 309
641 790
984 1,213
21,902 26,990
6,363 7,841
14,455 17,813
1,084 1,336
884 1,950 8,502 291.3
21 46 208 7.1
129 285 1,040 35.6
145 320 2,866 98.2
589 1,299 4,388 150.3
7,512 16,566 93,424 3,200.8
2,979 6,570 27,959 957.9
3,902 8,605 58,084 1,990.0
631 1,391 7,381 252.9
24,540 24,549
346 346
1,414 1,415
6,833 6,835
15,947 15,953
178,559 178,661
34,641 34,657
122,303 122,380
21,615 21,624
2,954 2,994
18 18
149 151
285 289
2,502 2,536
28,311 28,696
4,722 4,786
22,472 22,778
1,117 1,132
2,139 29,682 504.9
21 385 6.5
148 1,714 29.2
41 7,165 121.9
1,929 20,418 347.3
12,402 219,759 3,738.4
4,003 43,446 739.1
7,371 152,529 2,594.7
1,028 23,784 404.6
881 883
5 5
83 83
125 125
668 670
12,078 12,104
1,215 1,216
10,143 10,167
720 721
698 743
0 0
88 94
37 39
573 610
7,270 7,741
645 687
6,182 6,582
443 472
1,088 1,128 2,754 287.5
9 9 14 1.5
109 113 290 30.3
26 27 191 19.9
944 979 2,259 235.8
6,404 6,644 26,489 2,765.4
1,083 1,124 3,027 316.0
4,779 4,958 21,707 2,266.2
542 562 1,755 183.2
4,252
52
343
1,037
2,820
39,278
6,325
28,619
4,334
745 847
8 9
124 141
56 64
557 633
11,607 13,182
1,672 1,899
9,392 10,666
543 617
231 268 5,367 302.4
6 7 68 3.8
37 43 527 29.7
6 7 1,108 62.4
182 211 3,664 206.5
3,141 3,642 56,102 3,161.4
709 822 9,046 509.8
2,216 2,570 41,855 2,358.6
216 250 5,201 293.1
18,590
180
989
6,872
10,549
92,055
23,375
46,777
21,903
150
2
25
15
108
1,273
275
910
88
517 19,257 750.6
10 192 7.5
82 1,096 42.7
45 6,932 270.2
380 11,037 430.2
3,588 96,916 3,777.8
1,190 24,840 968.3
2,058 49,745 1,939.1
340 22,331 870.5
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. 3 The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) have been estimated for inclusion in this table.
SECTION II: OFFENSES REPORTED 45 Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
Area
NEW HAMPSHIRE Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... NEW JERSEY Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Nonmetropolitan counties............... State Total.......................................... Rate per 100,000 inhabitants ........... NEW MEXICO Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... NEW YORK Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... NORTH CAROLINA Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... NORTH DAKOTA Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... OHIO Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ...........
Population
819,370 89.5% 100.0% 448,370 88.6% 100.0% 48,088 2.3% 100.0% 1,315,828 8,685,920 100.0% None None 8,685,920 1,295,736 99.6% 100.0% 399,358 88.1% 100.0% 274,821 85.5% 100.0% 1,969,915 17,742,225 99.6% 100.0% 572,570 95.8% 100.0% 982,934 100.0% 19,297,729
6,310,791 96.2% 100.0% 844,934 94.7% 100.0% 1,905,307 95.7% 100.0% 9,061,032 303,244 99.6% 100.0% 136,301 90.9% 100.0% 200,170 88.1% 100.0% 639,715 9,236,831 86.6% 100.0% 919,500 79.7% 100.0% 1,310,586 82.1% 100.0% 11,466,917
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
1,035 1,109
10 10
143 158
320 333
562 608
14,238 15,472
2,998 3,252
10,416 11,330
824 890
582 658
4 5
144 163
88 99
346 391
8,115 9,163
1,416 1,599
6,348 7,168
351 396
13 40 1,807 137.3
0 0 15 1.1
6 12 333 25.3
0 0 432 32.8
7 28 1,027 78.0
48 261 24,896 1,892.0
11 135 4,986 378.9
34 113 18,611 1,414.4
3 13 1,299 98.7
28,601
380
1,050
12,549
14,622
192,226
37,482
132,791
21,953
28,601 329.3
380 4.4
1,050 12.1
12,549 144.5
14,622 168.3
192,226 2,213.1
37,482 431.5
132,791 1,528.8
21,953 252.7
9,234 9,262
98 98
692 694
1,983 1,985
6,461 6,485
50,393 50,542
11,938 11,976
31,109 31,202
7,346 7,364
2,377 2,697
32 36
206 234
243 276
1,896 2,151
15,584 17,681
4,160 4,720
10,507 11,921
917 1,040
962 1,126 13,085 664.2
24 28 162 8.2
89 104 1,032 52.4
51 60 2,321 117.8
798 934 9,570 485.8
4,419 5,171 73,394 3,725.7
1,962 2,296 18,992 964.1
2,000 2,340 45,463 2,307.9
457 535 8,939 453.8
76,431 76,567
781 782
2,454 2,462
30,771 30,817
42,425 42,506
350,043 351,466
57,739 57,957
265,282 266,422
27,022 27,087
1,379 1,439
5 5
136 142
204 213
1,034 1,079
15,708 16,391
2,767 2,887
12,507 13,051
434 453
1,909 79,915 414.1
14 801 4.2
322 2,926 15.2
64 31,094 161.1
1,509 45,094 233.7
13,959 381,816 1,978.6
4,013 64,857 336.1
9,456 288,929 1,497.2
490 28,030 145.3
31,040 31,671
428 437
1,688 1,736
11,068 11,205
17,856 18,293
265,631 272,971
74,930 77,172
169,440 174,050
21,261 21,749
5,690 5,992
72 76
267 281
1,597 1,680
3,754 3,955
47,673 50,228
12,726 13,402
32,599 34,355
2,348 2,471
4,400 4,599 42,262 466.4
69 72 585 6.5
352 368 2,385 26.3
634 663 13,548 149.5
3,345 3,496 25,744 284.1
45,125 47,155 370,354 4,087.3
17,441 18,226 108,800 1,200.7
24,099 25,183 233,588 2,577.9
3,585 3,746 27,966 308.6
583 584
5 5
147 147
55 55
376 377
7,773 7,808
1,348 1,353
5,846 5,873
579 582
200 220
5 5
38 42
9 10
148 163
2,725 2,996
441 485
2,099 2,308
185 203
94 107 911 142.4
2 2 12 1.9
16 18 207 32.4
4 5 70 10.9
72 82 622 97.2
1,131 1,284 12,088 1,889.6
287 326 2,164 338.3
730 829 9,010 1,408.4
114 129 914 142.9
34,902 36,735
458 477
3,513 3,829
16,984 17,647
13,947 14,782
309,748 341,193
79,197 85,587
200,917 224,220
29,634 31,386
1,276 1,601
17 21
298 374
396 497
565 709
27,180 34,122
5,034 6,320
21,260 26,690
886 1,112
840 1,024 39,360 343.2
15 18 516 4.5
204 249 4,452 38.8
95 116 18,260 159.2
526 641 16,132 140.7
17,159 20,894 396,209 3,455.2
5,421 6,601 98,508 859.1
10,686 13,012 263,922 2,301.6
1,052 1,281 33,779 294.6
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.
46
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
OKLAHOMA
OREGON
PENNSYLVANIA
PUERTO RICO
RHODE ISLAND
SOUTH CAROLINA
SOUTH DAKOTA
TENNESSEE
Area
Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Total ................................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ...........
Population
2,299,419 100.0% 698,837 100.0% 619,060 100.0% 3,617,316 2,901,737 99.0% 100.0% 390,400 97.8% 100.0% 455,318 93.7% 100.0% 3,747,455 10,441,953 97.5% 100.0% 916,386 93.3% 100.0% 1,074,453 100.0% 12,432,792 3,617,415 100.0% 324,044 100.0% 3,941,459 1,057,832 100.0% None None 100.0% 1,057,832
3,347,369 100.0% 271,459 100.0% 788,881 100.0% 4,407,709 354,847 97.6% 100.0% 207,296 74.3% 100.0% 234,071 80.9% 100.0% 796,214 4,485,971 100.0% 601,008 100.0% 1,069,740 100.0% 6,156,719 753.3
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
13,667
159
1,111
3,013
9,384
92,267
24,521
56,571
11,175
3,095
33
324
327
2,411
27,298
6,731
19,064
1,503
1,310 18,072 499.6
30 222 6.1
124 1,559 43.1
33 3,373 93.2
1,123 12,918 357.1
7,997 127,562 3,526.4
2,869 34,121 943.3
4,347 79,982 2,211.1
781 13,459 372.1
8,894 8,941
48 48
987 994
2,569 2,578
5,290 5,321
105,864 106,519
17,377 17,506
75,835 76,291
12,652 12,722
1,188 1,214
13 13
153 156
217 222
805 823
16,936 17,315
2,728 2,789
13,169 13,464
1,039 1,062
582 622 10,777 287.6
11 12 73 1.9
98 105 1,255 33.5
58 62 2,862 76.4
415 443 6,587 175.8
7,783 8,309 132,143 3,526.2
2,366 2,526 22,821 609.0
4,700 5,018 94,773 2,529.0
717 765 14,549 388.2
46,597 47,189
684 688
2,714 2,750
18,772 18,933
24,427 24,818
253,280 258,578
47,122 47,925
181,674 185,860
24,484 24,793
2,258 2,421
13 14
216 232
336 360
1,693 1,815
18,737 20,087
3,176 3,405
14,904 15,978
657 704
2,172 51,782 416.5
21 723 5.8
468 3,450 27.7
165 19,458 156.5
1,518 28,151 226.4
14,912 293,577 2,361.3
4,690 56,020 450.6
9,258 211,096 1,697.9
964 26,461 212.8
8,597
709
94
5,001
2,793
50,864
15,744
27,485
7,635
345 8,942 226.9
19 728 18.5
3 97 2.5
133 5,134 130.3
190 2,983 75.7
3,073 53,937 1,368.5
1,416 17,160 435.4
1,470 28,955 734.6
187 7,822 198.5
2,393
18
251
751
1,373
27,706
5,233
19,254
3,219
11 2,404 227.3
1 19 1.8
5 256 24.2
0 751 71.0
5 1,378 130.3
37 27,743 2,622.6
3 5,236 495.0
27 19,281 1,822.7
7 3,226 305.0
26,854
262
1,410
5,235
19,947
145,771
34,197
97,789
13,785
3,172
35
93
548
2,496
16,386
3,435
12,165
786
4,720 34,746 788.3
55 352 8.0
236 1,739 39.5
563 6,346 144.0
3,866 26,309 596.9
26,125 188,282 4,271.7
7,582 45,214 1,025.8
16,088 126,042 2,859.6
2,455 17,026 386.3
858 870
7 7
213 215
86 86
552 562
7,491 7,592
1,400 1,421
5,631 5,705
460 466
228 306
1 1
43 58
12 16
172 231
3,396 4,568
479 644
2,763 3,717
154 207
138 171 1,347 169.2
7 9 17 2.1
28 35 308 38.7
8 10 112 14.1
95 117 910 114.3
806 996 13,156 1,652.3
253 313 2,378 298.7
503 621 10,043 1,261.3
50 62 735 92.3
38,501
336
1,750
10,334
26,081
198,107
46,896
133,441
17,770
4,252
24
229
542
3,457
30,089
6,777
21,663
1,649
3,627 46,380 6.4
37 397 35.3
195 2,174 179.0
146 11,022 532.5
3,249 32,787 4,088.6
23,528 251,724 1,002.4
8,042 61,715 2,734.4
13,247 168,351 351.8
2,239 21,658
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.
SECTION II: OFFENSES REPORTED 47 Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
TEXAS
UTAH
VERMONT
VIRGINIA
WASHINGTON
WEST VIRGINIA
Area
Population
Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... Estimated total.................................. State Total.......................................... Rate per 100,000 inhabitants ...........
20,890,757 99.9% 100.0% 1,395,247 98.3% 100.0% 1,618,376 100.0% 23,904,380 2,351,180 99.9% 100.0% 137,076 86.3% 100.0% 157,074 88.7% 100.0% 2,645,330 205,403 100.0% 201,112 100.0% 214,739 97.0% 100.0% 621,254 6,604,728 99.9% 100.0% 268,724 100.0% 838,639 100.0% 7,712,091 5,662,399 100.0% 336,928 94.9% 100.0% 469,097 100.0% 6,468,424 1,002,071 94.7% 100.0% 223,371 80.0% 100.0% 586,593 92.8% 100.0% 1,812,035
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
111,650 111,671
1,311 1,311
7,468 7,469
37,746 37,752
65,125 65,139
909,106 909,376
206,760 206,816
612,901 613,096
89,445 89,464
6,695 6,792
47 48
622 632
823 833
5,203 5,279
51,065 51,804
12,676 12,864
35,888 36,407
2,501 2,533
3,591 122,054 510.6
61 1,420 5.9
338 8,439 35.3
184 38,769 162.2
3,008 73,426 307.2
23,962 985,142 4,121.2
8,633 228,313 955.1
13,427 662,930 2,773.3
1,902 93,899 392.8
5,755 5,759
53 53
822 823
1,399 1,400
3,481 3,483
86,029 86,095
14,288 14,299
63,301 63,350
8,440 8,446
201 233
0 0
43 50
11 13
147 170
3,582 4,153
542 628
2,861 3,317
179 208
193 218 6,210 234.8
4 5 58 2.2
31 35 908 34.3
6 7 1,420 53.7
152 171 3,824 144.6
2,081 2,346 92,594 3,500.3
545 614 15,541 587.5
1,396 1,574 68,241 2,579.7
140 158 8,812 333.1
365
4
66
42
253
6,311
1,140
4,932
239
226
4
30
24
168
4,992
815
3,971
206
176 181 772 124.3
4 4 12 1.9
26 27 123 19.8
14 14 80 12.9
132 136 557 89.7
3,032 3,127 14,430 2,322.7
1,116 1,151 3,106 500.0
1,726 1,780 10,683 1,719.6
190 196 641 103.2
18,776 18,778
358 358
1,506 1,506
7,320 7,321
9,592 9,593
169,781 169,799
27,230 27,233
129,835 129,849
12,716 12,717
774
11
79
152
532
8,252
1,303
6,569
380
1,246 20,798 269.7
37 406 5.3
160 1,745 22.6
178 7,651 99.2
871 10,996 142.6
12,158 190,209 2,466.4
3,152 31,688 410.9
8,049 144,467 1,873.3
957 14,054 182.2
19,917
160
2,283
5,828
11,646
231,851
45,738
150,499
35,614
904 953
4 4
186 196
162 171
552 582
16,540 17,436
3,265 3,442
12,291 12,957
984 1,037
676 21,546 333.1
9 173 2.7
150 2,629 40.6
54 6,053 93.6
463 12,691 196.2
11,442 260,729 4,030.8
3,524 52,704 814.8
6,947 170,403 2,634.4
971 37,622 581.6
2,904 3,019
30 31
238 246
627 645
2,009 2,097
27,771 29,090
6,389 6,658
19,273 20,223
2,109 2,209
585 732
6 8
29 36
90 113
460 575
5,407 6,761
1,086 1,358
4,037 5,048
284 355
1,147 1,236 4,987 275.2
23 25 64 3.5
81 87 369 20.4
87 94 852 47.0
956 1,030 3,702 204.3
9,191 9,902 45,753 2,525.0
2,597 2,798 10,814 596.8
5,733 6,176 31,447 1,735.5
861 928 3,492 192.7
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.
48
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 5.
Crime, by State and Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
State
WISCONSIN
WYOMING
Area
Metropolitan Statistical Area.......... Area actually reporting.................... Estimated total.................................. Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ........... Metropolitan Statistical Area.......... Area actually reporting.................... Cities outside metropolitan areas ... Area actually reporting.................... Estimated total.................................. Nonmetropolitan counties............... Area actually reporting.................... State Total.......................................... Rate per 100,000 inhabitants ...........
Population
4,053,659 99.9% 100.0% 627,576 99.1% 100.0% 920,405 100.0% 5,601,640 158,296 100.0% 213,296 98.0% 100.0% 151,238 100.0% 522,830
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
14,383 14,386
149 149
930 930
5,374 5,375
7,930 7,932
128,314 128,377
22,043 22,051
94,265 94,317
12,006 12,009
1,128 1,139
21 21
173 175
75 76
859 867
19,356 19,534
2,361 2,383
16,304 16,454
691 697
771 16,296 290.9
13 183 3.3
118 1,223 21.8
23 5,474 97.7
617 9,416 168.1
11,048 158,959 2,837.7
3,405 27,839 497.0
6,916 117,687 2,100.9
727 13,433 239.8
333
5
54
38
236
6,231
1,029
4,886
316
636 649
6 6
78 80
38 39
514 524
6,709 6,845
877 895
5,492 5,603
340 347
269 1,251 239.3
5 16 3.1
26 160 30.6
7 84 16.1
231 991 189.5
1,908 14,984 2,865.9
424 2,348 449.1
1,351 11,840 2,264.6
133 796 152.2
Note: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.
SECTION II: OFFENSES REPORTED 49 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Abilene, TX M.S.A. Includes Callahan, Jones, and Taylor Counties................................. City of Abilene.................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
157,713 114,644 100.0%
Includes Portage and Summit Counties ............................................. City of Akron .................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
699,760 208,701 88.5% 100.0%
Includes Baker, Dougherty, Lee, Terrell, and Worth Counties ............ City of Albany ................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
164,983 75,137 99.2% 100.0%
661 748 474.3
9 10 6.3
89 103 65.3
167 173 109.7
396 462 292.9
4,911 5,657 3,586.9
1,324 1,606 1,018.3
3,295 3,708 2,351.1
292 343 217.5
1,567 2,046 2,191 313.1
22 23 25 3.6
174 286 309 44.2
730 899 955 136.5
641 838 902 128.9
10,494 21,164 23,494 3,357.4
3,319 5,348 5,779 825.9
5,973 14,087 15,856 2,265.9
1,202 1,729 1,859 265.7
637 772 779 472.2
12 15 15 9.1
32 39 39 23.6
205 226 229 138.8
388 492 496 300.6
5,503 7,514 7,578 4,593.2
1,519 2,089 2,101 1,273.5
3,616 4,914 4,960 3,006.4
368 511 517 313.4
1,128 606 345 2,885 2,887 338.8
3 5 2 13 13 1.5
45 34 21 180 180 21.1
376 265 131 900 901 105.7
704 302 191 1,792 1,793 210.4
4,249 2,947 2,203 21,190 21,209 2,488.9
965 806 581 4,202 4,205 493.5
2,998 1,851 1,449 15,874 15,889 1,864.6
286 290 173 1,114 1,115 130.8
5,080
47 68 8.2
307 436 52.7
1,439 1,683 203.4
3,287
29,293 37,720 4,559.5
5,622 8,281 1,001.0
18,632 23,114 2,794.0
5,039 6,325 764.6
1,065 1,342 1,403 933.8
8 9 10 6.7
16 41 44 29.3
175 192 201 133.8
866 1,100 1,148 764.0
4,246 6,252 6,712 4,467.1
1,099 1,655 1,740 1,158.0
2,966 4,190 4,538 3,020.2
181 407 434 288.8
869 270 2,035 2,086 259.0
20 6 37 37 4.6
20 24 111 114 14.2
552 100 863 877 108.9
277 140 1,024 1,058 131.3
5,331 2,288 19,205 19,668 2,441.6
1,335 439 3,285 3,355 416.5
3,462 1,721 14,742 15,108 1,875.5
534 128 1,178 1,205 149.6
184 353 372 295.7
1 3 3 2.4
20 32 33 26.2
77 93 98 77.9
86 225 238 189.2
1,318 2,636 2,807 2,231.3
428 664 690 548.5
824 1,847 1,982 1,575.5
66 125 135 107.3
1,834 1,923 789.6
19 19 7.8
127 140 57.5
431 436 179.0
1,257 1,328 545.3
11,369 12,248 5,029.0
2,585 2,777 1,140.2
7,554 8,168 3,353.8
1,230 1,303 535.0
200 258 2.5
2 2 32.5
18 26 21.2
12 17 266.0
168 213 2,808.6
1,602 2,249 788.0
500 631 1,888.2
1,040 1,512 132.4
62 106
Akron, OH M.S.A.
Albany, GA M.S.A.
Albany-SchenectadyTroy, NY M.S.A. Includes Albany, Rensselaer, Saratoga, Schenectady, and Schoharie Counties........................... City of Albany ................................... City of Schenectady.......................... City of Troy........................................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
852,141 93,916 61,535 47,776 99.9% 100.0%
Albuquerque, NM M.S.A.1 Includes Bernalillo, Sandoval,1 Torrance, and Valencia Counties..... City of Albuquerque ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
827,275 513,124 100.0%
Includes Grant and Rapides Parishes .............................................. City of Alexandria ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
150,253 45,720 94.2% 100.0%
Alexandria, LA M.S.A.
AllentownBethlehem-Easton, PA-NJ M.S.A. Includes Warren County, NJ and Carbon, Lehigh, and Northampton Counties, PA ...................................... City of Allentown, PA ...................... City of Bethlehem, PA ..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
805,542 107,397 72,908 97.1% 100.0%
Altoona, PA M.S.A. Includes Blair County ...................... City of Altoona ................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
125,800 46,609 93.3% 100.0%
Amarillo, TX M.S.A. Includes Armstrong, Carson, Potter, and Randall Counties .......... City of Amarillo ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
243,547 187,234 100.0%
Includes Story County...................... City of Ames...................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
80,075 51,622 100.0% 322.2
Ames, IA M.S.A.
1
The FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
50
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Anchorage, AK M.S.A. Includes Anchorage Municipality and MatanuskaSusitna Borough ............................... City of Anchorage ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
303,996 284,142 100.0%
2,405 2,526 830.9
22 22 7.2
257 264 86.8
453 458 150.7
1,673 1,782 586.2
11,107 12,167 4,002.4
1,454 1,548 509.2
8,397 9,268 3,048.7
1,256 1,351 444.4
203 236 181.4
3 4 3.1
27 32 24.6
82 88 67.6
91 112 86.1
2,931 4,179 3,211.5
651 961 738.5
2,065 2,937 2,257.1
215 281 215.9
280 1,183 652.3
1 5 2.8
15 65 35.8
43 141 77.7
221 972 535.9
1,652 9,357 5,159.1
361 2,570 1,417.0
1,161 5,890 3,247.5
130 897 494.6
298 1,159 335.5
0 6 1.7
30 153 44.3
66 263 76.1
202 737 213.4
2,777 9,179 2,657.3
572 2,124 614.9
2,046 6,328 1,831.9
159 727 210.5
146 232 105.4
0 1 0.5
26 50 22.7
23 36 16.3
97 145 65.8
2,379 5,673 2,576.2
413 767 348.3
1,883 4,704 2,136.2
83 202 91.7
505 1,137 1,147 282.5
10 21 21 5.2
27 84 85 20.9
229 329 332 81.8
239 703 709 174.6
4,249 11,556 11,671 2,874.8
1,014 3,373 3,401 837.7
2,818 7,228 7,309 1,800.4
417 955 961 236.7
435 577 685 363.8
7 10 12 6.4
38 45 50 26.6
142 149 192 102.0
248 373 431 228.9
5,493 6,916 7,868 4,178.2
1,306 1,535 1,789 950.0
3,836 4,943 5,515 2,928.7
351 438 564 299.5
8,075 229 479
129 6 4 455 458 8.7
148 24 16 1,053 1,066 20.2
3,577 151 297 12,205 12,304 233.2
4,221 48 162
36,232 3,416 2,579 201,636 203,925 3,864.6
8,859 803 618 51,732 52,217 989.6
20,353 2,317 1,553 121,090 122,658 2,324.5
7,020 296 408 28,814 29,050 550.5
860 20 1,594 589.5
6 0 15 5.5
28 1 65 24.0
456 4 681 251.8
370 15 833 308.0
2,902 161 9,694 3,584.8
545 36 2,020 747.0
2,157 114 7,175 2,653.3
200 11 499 184.5
Anderson, IN M.S.A. Includes Madison County................ City of Anderson .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
130,125 57,189 100.0%
Includes Anderson County.............. City of Anderson .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
181,370 26,326 100.0%
Includes Washtenaw County ........... City of Ann Arbor ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
345,430 113,011 100.0%
Anderson, SC M.S.A.
Ann Arbor, MI M.S.A.
Appleton, WI M.S.A. Includes Calumet and Outagamie Counties......................... City of Appleton ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
220,208 70,169 100.0%
Asheville, NC M.S.A. Includes Buncombe, Haywood, Henderson, and Madison Counties ............................................. City of Asheville ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
405,975 72,907 99.5% 100.0%
Athens-Clarke County, GA M.S.A. Includes Clarke, Madison, Oconee, and Oglethorpe Counties ............................................. City of Athens-Clarke County ........ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
188,310 113,389 84.1% 100.0%
Atlanta-Sandy Springs-Marietta, GA M.S.A.1 Includes Barrow, Bartow, Butts, Carroll, Cherokee, Clayton, Cobb, Coweta, Dawson, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Haralson, Heard, Henry, Jasper, Lamar,1 Meriwether, Newton, Paulding, Pickens, Pike, Rockdale, Spalding, and Walton1 Counties....................... City of Atlanta .................................. City of Sandy Springs ....................... City of Marietta................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
5,276,703 497,290 85,830 63,523 99.0% 100.0%
Atlantic CityHammonton, NJ M.S.A. Includes Atlantic County ................. City of Atlantic City ......................... City of Hammonton ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ........... 1
270,417 39,781 13,512 100.0%
The FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
SECTION II: OFFENSES REPORTED 51 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Auburn-Opelika, AL M.S.A. Includes Lee County ........................ City of Auburn .................................. City of Opelika.................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
127,500 53,160 24,600 100.0%
176 308 617 483.9
2 5 8 6.3
25 36 72 56.5
44 62 137 107.5
105 205 400 313.7
2,559 1,551 5,275 4,137.3
630 284 1,282 1,005.5
1,838 1,224 3,740 2,933.3
91 43 253 198.4
2,202 2,219 419.9
37 37 7.0
223 224 42.4
888 894 169.2
1,054 1,064 201.4
24,773 24,915 4,715.0
5,286 5,313 1,005.4
16,695 16,797 3,178.7
2,792 2,805 530.8
3,871 112 5,345 344.1
30 1 43 2.8
328 21 522 33.6
1,457 23 1,672 107.6
2,056 67 3,108 200.1
45,453 2,400 64,102 4,126.4
8,031 333 12,253 788.7
34,461 1,997 48,005 3,090.2
2,961 70 3,844 247.4
1,961 4,590 579.4
15 50 6.3
41 181 22.8
629 1,132 142.9
1,276 3,227 407.3
16,058 32,033 4,043.5
3,537 8,200 1,035.1
9,853 18,509 2,336.4
2,668 5,324 672.0
10,182 20,985 791.0
282 355 13.4
146 512 19.3
3,895 7,139 269.1
5,859 12,979 489.2
29,939 92,057 3,470.0
7,381 18,977 715.3
16,742 60,970 2,298.2
5,816 12,110 456.5
46 90 61.5
1 3 2.1
4 14 9.6
24 34 23.2
17 39 26.7
1,905 4,779 3,267.9
208 775 529.9
1,655 3,869 2,645.6
42 135 92.3
301 859 381.2
2 2 0.9
17 60 26.6
25 71 31.5
257 726 322.2
1,252 6,054 2,686.8
439 2,108 935.5
717 3,653 1,621.2
96 293 130.0
2,615 5,396 5,609 728.2
71 135 138 17.9
72 177 189 24.5
1,015 1,382 1,415 183.7
1,457 3,702 3,867 502.0
13,643 32,363 33,857 4,395.4
3,847 7,995 8,320 1,080.1
8,617 21,970 23,024 2,989.0
1,179 2,398 2,513 326.2
818 1,186 863.2
3 11 8.0
89 133 96.8
130 170 123.7
596 872 634.7
3,591 5,662 4,121.2
1,001 1,457 1,060.5
2,397 3,899 2,837.9
193 306 222.7
164 288 267.5
1 4 3.7
20 59 54.8
50 62 57.6
93 163 151.4
1,170 2,684 2,493.2
298 594 551.8
792 1,911 1,775.1
80 179 166.3
Augusta-Richmond County, GA-SC M.S.A. Includes Burke, Columbia, McDuffie, and Richmond Counties, GA and Aiken and Edgefield Counties, SC ............. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
528,421 99.4% 100.0%
Austin-Round Rock, TX M.S.A. Includes Bastrop, Caldwell, Hays, Travis, and Williamson Counties ............................................. City of Austin .................................... City of Round Rock ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,553,472 716,817 97,727 100.0%
Bakersfield, CA M.S.A. Includes Kern County ...................... City of Bakersfield............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
792,216 318,743 100.0%
Baltimore-Towson, MD M.S.A. Includes Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne’s Counties and Baltimore City........... City of Baltimore .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,652,974 624,237 100.0%
Bangor, ME M.S.A. Includes Penobscot County ............. City of Bangor................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
146,242 30,940 100.0%
Includes Barnstable County ............ City of Barnstable ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
225,323 47,342 100.0%
Barnstable Town, MA M.S.A.
Baton Rouge, LA M.S.A. Includes Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe Coupee, St. Helena, West Baton Rouge, and West Feliciana Parishes............. City of Baton Rouge ........................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
770,283 228,446 95.0% 100.0%
Battle Creek, MI M.S.A. Includes Calhoun County ................ City of Battle Creek ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
137,388 62,143 100.0%
Includes Bay County ........................ City of Bay City ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
107,654 34,145 100.0%
Bay City, MI M.S.A.
52
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Beaumont-Port Arthur, TX M.S.A. Includes Hardin, Jefferson, and Orange Counties ....................... City of Beaumont ............................. City of Port Arthur ........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
378,783 109,345 55,481 100.0%
1,073 475 2,209 583.2
15 9 29 7.7
71 47 189 49.9
309 196 640 169.0
678 223 1,351 356.7
6,643 2,285 15,446 4,077.8
1,707 747 4,215 1,112.8
4,471 1,280 9,940 2,624.2
465 258 1,291 340.8
187 441 233.7
2 2 1.1
29 88 46.6
58 81 42.9
98 270 143.1
5,022 8,167 4,327.9
696 1,498 793.8
4,087 6,233 3,303.0
239 436 231.0
155 342 221.0
0 0 0.0
20 54 34.9
40 61 39.4
95 227 146.7
2,977 5,302 3,426.8
594 1,151 743.9
2,187 3,780 2,443.1
196 371 239.8
245 336 338 224.5
1 2 2 1.3
23 39 39 25.9
54 58 58 38.5
167 237 239 158.7
4,182 5,191 5,217 3,465.0
435 558 559 371.3
3,420 4,251 4,275 2,839.3
327 382 383 254.4
214 481 195.3
3 4 1.6
19 65 26.4
67 109 44.3
125 303 123.1
2,100 5,847 2,374.5
254 853 346.4
1,809 4,851 1,970.1
37 143 58.1
3,320 121 5,993 6,461 582.6
86 0 121 130 11.7
229 18 423 456 41.1
1,609 71 2,517 2,666 240.4
1,396 32 2,932 3,209 289.4
19,638 2,443 45,128 49,747 4,486.2
4,864 372 10,873 11,960 1,078.5
12,528 1,910 30,165 33,349 3,007.4
2,246 161 4,090 4,438 400.2
108 172 167.5
1 1 1.0
25 44 42.8
11 14 13.6
71 113 110.0
1,550 2,197 2,139.5
255 369 359.3
1,194 1,673 1,629.2
101 155 150.9
63 53 40 316 209.0
0 0 0 32 21.2
8 1 8 45 29.8
10 7 5 41 27.1
45 45 27 198 130.9
656 762 502 4,240 2,803.9
120 111 120 838 554.2
520 622 359 3,234 2,138.6
16 29 23 168 111.1
275 389 431 240.7
1 4 4 2.2
24 39 43 24.0
72 91 102 57.0
178 255 282 157.5
2,898 4,373 5,022 2,804.7
666 1,078 1,208 674.7
2,060 3,025 3,492 1,950.2
172 270 322 179.8
Bellingham, WA M.S.A. Includes Whatcom County .............. City of Bellingham............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
188,708 76,290 100.0%
Includes Deschutes County ............. City of Bend ...................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
154,723 75,185 100.0%
Bend, OR M.S.A.
Billings, MT M.S.A. Includes Carbon and Yellowstone Counties....................... City of Billings................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
150,563 101,342 99.5% 100.0%
Includes Broome and Tioga Counties ............................................. City of Binghamton .......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
246,237 44,931 100.0%
Binghamton, NY M.S.A.
BirminghamHoover, AL M.S.A. Includes Bibb, Blount, Chilton, Jefferson, St. Clair, Shelby, and Walker Counties ........................ City of Birmingham.......................... City of Hoover .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,108,901 227,686 69,527 88.4% 100.0%
Bismarck, ND M.S.A. Includes Burleigh and Morton Counties ............................................. City of Bismarck ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
102,688 58,648 100.0%
BlacksburgChristiansburgRadford, VA M.S.A. Includes Giles, Montgomery, and Pulaski Counties and Radford City...................................... City of Blacksburg ............................ City of Christiansburg ...................... City of Radford ................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
151,219 39,250 17,983 14,317 100.0%
Bloomington, IN M.S.A. Includes Greene, Monroe, and Owen Counties.................................. City of Bloomington......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
179,055 68,918 82.6% 100.0%
SECTION II: OFFENSES REPORTED 53 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Boise City-Nampa, ID M.S.A. Includes Ada, Boise, Canyon, Gem, and Owyhee Counties............ City of Boise ..................................... City of Nampa ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
586,066 199,104 80,397 100.0%
648 260 1,570 267.9
10 5 21 3.6
122 55 278 47.4
68 17 129 22.0
448 183 1,142 194.9
6,175 2,508 14,564 2,485.0
1,018 613 3,025 516.2
4,778 1,643 10,433 1,780.2
379 252 1,106 188.7
6,837 421 253 78 107 125 128 17,096 17,261 387.0
65 0 2 0 0 0 0 123 124 2.8
263 12 16 8 3 11 7 950 969 21.7
2,242 148 70 13 29 19 16 4,751 4,782 107.2
4,267 261 165 57 75 95 105 11,272 11,386 255.3
24,579 3,616 1,877 1,306 1,380 820 1,235 100,025 101,681 2,279.7
3,810 662 589 184 211 172 126 20,595 20,970 470.2
17,351 2,718 1,147 1,079 1,018 594 1,002 69,908 71,081 1,593.6
3,418 236 141 43 151 54 107 9,522 9,630 215.9
10,473 10,565 574.3
93 94 5.1
482 488 26.5
3,215 3,233 175.7
6,683 6,750 366.9
48,682 49,322 2,681.1
9,192 9,352 508.4
34,162 34,591 1,880.3
5,328 5,379 292.4
3,461 3,471 236.7
13 13 0.9
229 230 15.7
937 939 64.0
2,282 2,289 156.1
29,693 29,758 2,029.2
6,303 6,319 430.9
21,079 21,123 1,440.4
2,311 2,316 157.9
2,725 2,735 370.9
16 16 2.2
153 154 20.9
527 529 71.7
2,029 2,036 276.1
15,178 15,245 2,067.1
3,951 3,968 538.0
9,709 9,754 1,322.6
1,518 1,523 206.5
437 490 117.6
1 1 0.2
86 97 23.3
72 81 19.4
278 311 74.6
6,472 7,356 1,765.3
1,149 1,331 319.4
4,958 5,613 1,347.0
365 412 98.9
348 378 381 331.8
1 1 1 0.9
49 53 53 46.2
87 94 95 82.7
211 230 232 202.1
2,739 3,560 3,596 3,132.0
545 782 790 688.1
2,072 2,619 2,645 2,303.7
122 159 161 140.2
530 588 56 4,571 661.8
5 6 0 43 6.2
19 28 3 218 31.6
156 185 5 1,062 153.8
350 369 48 3,248 470.2
2,476 3,516 626 28,989 4,196.9
593 806 82 6,614 957.5
1,674 2,470 517 20,452 2,960.9
209 240 27 1,923 278.4
Boston-CambridgeQuincy, MA-NH M.S.A.2 Includes the Metropolitan Divisions of Boston-Quincy, MA; Cambridge-Newton-Framingham, MA; and Peabody, MA and Rockingham County-Strafford County, NH........................................ City of Boston, MA .......................... City of Cambridge, MA2 .................. City of Quincy, MA .......................... City of Newton, MA ......................... City of Framingham, MA................. City of Waltham, MA ....................... City of Peabody, MA ........................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
4,460,277 591,855 101,161 91,382 82,731 64,482 59,425 52,194 97.9% 100.0%
Boston-Quincy, MA M.D. Includes Norfolk, Plymouth, and Suffolk Counties ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,839,638 98.3% 100.0%
CambridgeNewtonFramingham, MA M.D.2 Includes Middlesex County ............. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,466,454 99.8% 100.0%
Includes Essex County ..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
737,494 99.5% 100.0%
Peabody, MA M.D.
Rockingham County-Strafford County, NH M.D. Includes Rockingham and Strafford Counties ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
416,691 86.4% 100.0%
Includes Edmonson and Warren Counties ............................... City of Bowling Green ..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
114,815 53,663 99.1% 100.0%
Includes Manatee and Sarasota Counties ............................................. City of Bradenton ............................. City of Sarasota................................. City of Venice .................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
690,730 54,253 52,986 21,329 100.0%
Bowling Green, KY M.S.A.
BradentonSarasota-Venice, FL M.S.A.
2 Because
of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data.
54
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
BremertonSilverdale, WA M.S.A. Includes Kitsap County.................... City of Bremerton............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
241,780 35,068 100.0%
Includes Fairfield County ................ City of Bridgeport............................. City of Stamford ............................... City of Norwalk................................. City of Danbury ................................ City of Stratford................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
884,290 137,655 119,510 84,343 79,893 49,440 100.0%
Includes Cameron County............... City of Brownsville ........................... City of Harlingen .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
395,428 177,090 64,984 100.0%
336 1,049 433.9
0 1 0.4
63 200 82.7
60 105 43.4
213 743 307.3
1,652 6,259 2,588.7
368 1,567 648.1
1,185 4,314 1,784.3
99 378 156.3
1,603 336 343 146 116 2,712 306.7
14 3 3 2 0 23 2.6
77 33 13 20 3 166 18.8
675 129 120 75 58 1,124 127.1
837 171 207 49 55 1,399 158.2
6,577 1,882 1,872 1,482 1,539 17,692 2,000.7
1,201 332 284 275 209 3,002 339.5
4,223 1,316 1,378 1,069 1,128 12,479 1,411.2
1,153 234 210 138 202 2,211 250.0
880 334 1,616 408.7
5 7 16 4.0
21 28 100 25.3
207 63 317 80.2
647 236 1,183 299.2
9,474 4,546 19,206 4,857.0
1,442 1,054 3,965 1,002.7
7,574 3,241 14,256 3,605.2
458 251 985 249.1
458 830 836 822.1
8 20 20 19.7
13 27 27 26.6
104 165 167 164.2
333 618 622 611.7
1,312 4,585 4,637 4,560.1
354 1,082 1,092 1,073.9
867 3,207 3,244 3,190.2
91 296 301 296.0
3,490 226 22 501 5,271 466.5
54 0 0 3 60 5.3
164 20 4 38 331 29.3
1,533 84 3 134 2,019 178.7
1,739 122 15 326 2,861 253.2
16,137 2,304 431 2,676 34,365 3,041.3
4,389 301 51 668 7,835 693.4
9,477 1,874 367 1,796 23,398 2,070.7
2,271 129 13 212 3,132 277.2
404 650 659 452.3
3 9 9 6.2
16 33 34 23.3
103 148 150 102.9
282 460 466 319.8
2,967 5,361 5,465 3,750.6
763 1,442 1,467 1,006.8
2,054 3,627 3,701 2,540.0
150 292 297 203.8
135 20 365 177.7
0 0 4 1.9
22 9 66 32.1
18 2 42 20.4
95 9 253 123.2
1,673 631 6,311 3,072.5
359 27 1,140 555.0
1,268 572 4,932 2,401.1
46 32 239 116.4
402 921 3,329 566.9
5 17 47 8.0
40 26 177 30.1
97 335 988 168.3
260 543 2,117 360.5
5,574 3,357 22,622 3,852.4
1,483 576 6,501 1,107.1
3,787 2,265 13,983 2,381.2
304 516 2,138 364.1
206 369.8
1 1.8
5 9.0
21 37.7
179 321.3
1,103 1,979.8
286 513.3
723 1,297.7
94 168.7
BridgeportStamford-Norwalk, CT M.S.A.
BrownsvilleHarlingen, TX M.S.A.
Brunswick, GA M.S.A. Includes Brantley, Glynn, and McIntosh Counties ........................... City of Brunswick ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
101,687 16,146 98.9% 100.0%
Includes Erie and Niagara Counties ............................................. City of Buffalo................................... City of Cheektowaga Town ............. City of Tonawanda............................ City of Niagara Falls ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,129,953 273,832 79,164 14,971 51,897 100.0%
Buffalo-Niagara Falls, NY M.S.A.
Burlington, NC M.S.A. Includes Alamance County ............. City of Burlington............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
145,711 48,689 98.6% 100.0%
Burlington-South Burlington, VT M.S.A. Includes Chittenden, Franklin, and Grand Isle Counties .................. City of Burlington............................. City of South Burlington ................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
205,403 38,153 17,333 100.0%
Cape Coral-Fort Myers, FL M.S.A. Includes Lee County ........................ City of Cape Coral............................ City of Fort Myers ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
587,220 159,936 61,810 100.0%
Includes Carson City ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
55,713 100.0%
Carson City, NV M.S.A.
SECTION II: OFFENSES REPORTED 55 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Casper, WY M.S.A. Includes Natrona County ................ City of Casper ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
71,604 52,434 100.0%
152 174 243.0
2 4 5.6
20 20 27.9
22 23 32.1
108 127 177.4
2,595 3,151 4,400.6
504 646 902.2
1,935 2,306 3,220.5
156 199 277.9
500 603 621 247.6
3 3 3 1.2
34 51 53 21.1
137 145 147 58.6
326 404 418 166.7
6,041 7,378 7,602 3,031.0
1,083 1,450 1,487 592.9
4,619 5,523 5,700 2,272.7
339 405 415 165.5
572 1,183 1,272 419.1
4 7 8 2.6
14 68 75 24.7
131 218 230 75.8
423 890 959 315.9
3,051 9,185 10,124 3,335.3
601 1,980 2,185 719.8
2,235 6,381 7,039 2,319.0
215 824 900 296.5
909 1,561 147 5,086 824.3
15 26 2 68 11.0
56 92 13 278 45.1
269 624 36 1,336 216.5
569 819 96 3,404 551.7
4,246 6,768 1,470 25,262 4,094.3
746 1,195 154 5,162 836.6
3,056 4,660 1,212 17,264 2,798.1
444 913 104 2,836 459.6
7,233 701 256 798 11,336 11,789 721.0
76 5 7 3 109 116 7.1
282 23 21 20 482 516 31.6
3,191 234 100 124 4,104 4,200 256.9
3,684 439 128 651 6,641 6,957 425.5
51,279 5,552 3,029 2,921 80,865 86,157 5,269.1
12,948 1,259 473 503 19,987 21,628 1,322.7
32,313 3,842 2,326 2,208 52,568 55,860 3,416.2
6,018 451 230 210 8,310 8,669 530.2
273 511 265.8
3 5 2.6
26 60 31.2
93 150 78.0
151 296 154.0
1,938 5,107 2,656.7
278 783 407.3
1,524 4,034 2,098.5
136 290 150.9
2,009 3,342 663.8
11 18 3.6
102 178 35.4
524 650 129.1
1,372 2,496 495.8
12,484 22,399 4,448.9
2,384 4,694 932.3
9,072 15,972 3,172.4
1,028 1,733 344.2
115 159 183.4
1 1 1.2
23 34 39.2
13 15 17.3
78 109 125.7
2,557 3,080 3,552.8
261 383 441.8
2,208 2,580 2,976.1
88 117 135.0
Cedar Rapids, IA M.S.A. Includes Benton, Jones, and Linn Counties.................................... City of Cedar Rapids........................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
250,807 124,730 96.2% 100.0%
Includes Boone, Clay, Kanawha, Lincoln, and Putnam Counties........ City of Charleston............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
303,537 50,510 86.6% 100.0%
Includes Berkeley, Charleston, and Dorchester Counties ................. City of Charleston............................. City of North Charleston ................. City of Summerville.......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
616,999 109,382 88,431 43,985 100.0%
Charleston, WV M.S.A.
Charleston-North CharlestonSummerville, SC M.S.A.
Charlotte-GastoniaConcord, NC-SC M.S.A. Includes Anson, Cabarrus, Gaston, Mecklenburg, and Union Counties, NC and York County, SC ......................................... City of CharlotteMecklenburg, NC.............................. City of Gastonia, NC ........................ City of Concord, NC......................... City of Rock Hill, SC........................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,635,133 733,291 70,127 63,284 63,388 89.1% 100.0%
Charlottesville, VA M.S.A. Includes Albemarle, Fluvanna, Greene, and Nelson Counties and Charlottesville City ................... City of Charlottesville ...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
192,228 40,265 100.0%
Chattanooga, TN-GA M.S.A. Includes Catoosa, Dade, and Walker Counties, GA and Hamilton, Marion, and Sequatchie Counties, TN.................. City of Chattanooga, TN.................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
503,472 155,043 100.0%
Cheyenne, WY M.S.A. Includes Laramie County ................ City of Cheyenne .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
86,692 55,604 100.0%
56
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Chico, CA M.S.A. Includes Butte County ..................... City of Chico ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
215,992 74,288 100.0%
385 977 452.3
3 9 4.2
59 127 58.8
107 176 81.5
216 665 307.9
2,454 6,666 3,086.2
729 1,840 851.9
1,450 3,951 1,829.2
275 875 405.1
3,588 223 7,140 7,702 364.1
63 3 94 100 4.7
313 28 828 915 43.3
1,961 87 3,133 3,320 157.0
1,251 105 3,085 3,367 159.2
20,531 4,040 62,460 71,409 3,375.9
6,200 874 14,263 16,135 762.8
12,332 2,939 43,856 50,393 2,382.4
1,999 227 4,341 4,881 230.8
992 1,386 1,392 570.2
9 14 14 5.7
65 96 97 39.7
159 240 242 99.1
759 1,036 1,039 425.6
4,751 8,319 8,373 3,430.1
1,520 2,482 2,493 1,021.3
2,907 5,262 5,301 2,171.6
324 575 579 237.2
430 833 747.4
1 3 2.7
24 36 32.3
48 63 56.5
357 731 655.9
2,356 3,780 3,391.7
465 801 718.7
1,769 2,729 2,448.6
122 250 224.3
6,444 222 44 8,465 9,184 436.5
90 1 1 121 129 6.1
374 35 11 625 744 35.4
4,022 74 12 4,862 5,133 243.9
1,958 112 20 2,857 3,178 151.0
27,016 2,278 1,208 51,387 63,199 3,003.4
9,050 602 135 14,869 17,136 814.4
11,184 1,515 1,014 27,739 36,624 1,740.5
6,782 161 59 8,779 9,439 448.6
270 466 343.7
1 1 0.7
35 72 53.1
18 29 21.4
216 364 268.5
1,488 3,218 2,373.5
248 685 505.2
1,168 2,328 1,717.1
72 205 151.2
251 596 1,016 526.2
1 4 7 3.6
38 34 88 45.6
45 96 161 83.4
167 462 760 393.6
2,488 3,542 7,479 3,873.2
481 1,000 1,849 957.5
1,919 2,404 5,339 2,764.9
88 138 291 150.7
1,985 2,950 2,958 4.9
27 30 30 59.7
285 365 366 93.3
528 570 572 324.5
1,145 1,985 1,990 3,266.4
16,554 19,926 20,029 644.3
3,179 3,934 3,951 2,321.8
11,888 14,162 14,237 300.2
1,487 1,830 1,841
CincinnatiMiddletown, OH-KY-IN M.S.A. Includes Dearborn, Franklin, and Ohio Counties, IN; Boone, Bracken, Campbell, Gallatin, Grant, Kenton, and Pendleton Counties, KY; and Brown, Butler, Clermont, Hamilton, and Warren Counties, OH....................... City of Cincinnati, OH ..................... City of Middletown, OH .................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
2,115,244 332,388 51,244 82.1% 100.0%
Clarksville, TN-KY M.S.A. Includes Christian and Trigg Counties, KY and Montgomery and Stewart Counties, TN ................ City of Clarksville, TN...................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
244,105 114,582 99.4% 100.0%
Cleveland, TN M.S.A. Includes Bradley and Polk Counties ............................................. City of Cleveland .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
111,450 38,808 100.0%
ClevelandElyria-Mentor, OH M.S.A. Includes Cuyahoga, Geauga, Lake, Lorain, and Medina Counties ............................................. City of Cleveland .............................. City of Elyria ..................................... City of Mentor................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
2,104,225 439,888 55,697 51,775 79.6% 100.0%
Coeur d’Alene, ID M.S.A. Includes Kootenai County ............... City of Coeur d’Alene...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
135,581 42,324 100.0%
College StationBryan, TX M.S.A. Includes Brazos, Burleson, and Robertson Counties ......................... City of College Station..................... City of Bryan ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
193,097 74,997 67,484 100.0%
Colorado Springs, CO M.S.A. Includes El Paso and Teller Counties ............................................. City of Colorado Springs ................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
613,181 374,112 99.5% 100.0% 482.4
SECTION II: OFFENSES REPORTED 57 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Columbia, MO M.S.A. Includes Boone and Howard Counties ............................................. City of Columbia............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
157,307 95,595 100.0%
617 817 519.4
3 5 3.2
30 37 23.5
141 161 102.3
443 614 390.3
3,323 4,756 3,023.4
594 880 559.4
2,509 3,602 2,289.8
220 274 174.2
1,316 1,475 1,531 527.7
24 28 29 10.0
57 70 73 25.2
618 676 698 240.6
617 701 731 252.0
13,791 15,780 16,268 5,607.6
2,652 3,165 3,294 1,135.4
9,367 10,597 10,893 3,754.8
1,772 2,018 2,081 717.3
53 75 76 101.6
1 2 2 2.7
10 13 13 17.4
16 21 21 28.1
26 39 40 53.5
2,593 2,865 2,878 3,847.3
344 361 363 485.3
2,116 2,354 2,364 3,160.2
133 150 151 201.9
6,269 7,565 7,736 445.2
79 92 94 5.4
661 907 943 54.3
3,849 4,402 4,449 256.0
1,680 2,164 2,250 129.5
51,491 76,479 80,041 4,605.8
14,370 19,440 20,330 1,169.8
30,893 49,645 52,120 2,999.1
6,228 7,394 7,591 436.8
2,365 2,835 679.1
17 23 5.5
238 298 71.4
497 579 138.7
1,613 1,935 463.5
18,713 24,266 5,812.6
3,404 4,752 1,138.3
14,486 18,486 4,428.1
823 1,028 246.2
57 110 138.7
1 2 2.5
11 19 24.0
10 16 20.2
35 73 92.0
1,554 2,398 3,023.4
226 414 522.0
1,261 1,875 2,364.0
67 109 137.4
180 372 376.7
0 1 1.0
7 25 25.3
35 43 43.5
138 303 306.8
1,266 2,697 2,730.9
293 656 664.2
935 1,915 1,939.1
38 126 127.6
13,248 4,474 2,588 676 729 237 366 290 255 30,904 30,905 504.0
200 58 13 2 9 5 2 2 1 359 359 5.9
511 335 156 51 30 3 76 22 49 1,937 1,937 31.6
7,222 1,620 742 161 240 116 84 136 44 12,386 12,386 202.0
5,315 2,461 1,677 462 450 113 204 130 161 16,222 16,223 264.6
83,962 36,681 21,079 7,973 9,030 3,890 3,505 3,107 2,626 264,138 264,156 4,307.7
22,472 9,008 4,447 1,384 1,730 893 718 793 531 62,817 62,821 1,024.5
47,699 24,988 14,990 6,168 6,306 2,636 2,614 2,084 1,949 173,026 173,039 2,821.8
13,791 2,685 1,642 421 994 361 173 230 146 28,295 28,296 461.4
Columbus, GA-AL M.S.A. Includes Russell County, AL and Chattahoochee, Harris, Marion, and Muscogee Counties, GA..................................... City of Columbus, GA...................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
290,106 188,944 94.8% 100.0%
Columbus, IN M.S.A. Includes Bartholomew County ....... City of Columbus.............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
74,805 39,764 99.5% 100.0%
Columbus, OH M.S.A. Includes Delaware, Fairfield, Franklin, Licking, Madison, Morrow, Pickaway, and Union Counties ............................................. City of Columbus ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,737,831 735,981 89.4% 100.0%
Corpus Christi, TX M.S.A. Includes Aransas, Nueces, and San Patricio Counties ....................... City of Corpus Christi ...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
417,469 286,269 100.0%
Corvallis, OR M.S.A. Includes Benton County .................. City of Corvallis ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
79,314 49,870 100.0%
Cumberland, MD-WV M.S.A. Includes Allegany County, MD and Mineral County, WV......................... City of Cumberland, MD ................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
98,759 20,654 100.0%
Dallas-Fort WorthArlington, TX M.S.A. Includes the Metropolitan Divisions of Dallas-Plano-Irving and Fort Worth-Arlington ............... City of Dallas..................................... City of Fort Worth ............................ City of Arlington............................... City of Plano...................................... City of Irving ..................................... City of Carrollton ............................. City of Denton .................................. City of Richardson............................ City of McKinney ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
6,132,121 1,239,104 670,693 372,073 259,771 196,676 123,324 113,936 100,933 118,113 99.9% 100.0%
58
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Dallas-PlanoIrving, TX M.D. Includes Collin, Dallas, Delta, Denton, Ellis, Hunt, Kaufman, and Rockwall Counties .................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
4,107,704 99.9% 100.0%
21,174 21,175 515.5
268 268 6.5
1,164 1,164 28.3
9,509 9,509 231.5
10,233 10,234 249.1
175,648 175,666 4,276.5
42,875 42,879 1,043.9
111,091 111,104 2,704.8
21,682 21,683 527.9
9,730 480.6
91 4.5
773 38.2
2,877 142.1
5,989 295.8
88,490 4,371.1
19,942 985.1
61,935 3,059.4
6,613 326.7
140 471 474 347.5
3 3 3 2.2
6 26 26 19.1
30 46 47 34.5
101 396 398 291.8
230 917 923 676.7
1,026 3,079 3,100 2,272.6
204 269 252.7
5 9 8.5
9 16 15.0
98 122 114.6
92 122 114.6
2,437 3,041 2,857.2
550 781 733.8
1,775 2,088 1,961.8
112 172 161.6
1,597 2,287 2,494 298.5
28 37 39 4.7
116 294 332 39.7
749 997 1,067 127.7
704 959 1,056 126.4
10,465 25,185 28,932 3,463.1
3,272 5,896 6,713 803.5
5,607 16,779 19,501 2,334.2
1,586 2,510 2,718 325.3
251 336 352 234.3
0 0 0 0.0
28 40 41 27.3
105 114 120 79.9
118 182 191 127.1
3,624 5,097 5,264 3,503.6
830 1,264 1,299 864.6
2,584 3,526 3,646 2,426.7
210 307 319 212.3
1,063 107 2,916 2,934 586.8
8 0 20 20 4.0
48 5 165 166 33.2
323 30 728 734 146.8
684 72 2,003 2,014 402.8
4,612 1,278 18,239 18,361 3,672.1
1,172 245 4,720 4,747 949.4
2,873 959 11,752 11,836 2,367.1
567 74 1,767 1,778 355.6
3,552 1,687 9,011 9,016 365.9
47 14 85 85 3.4
296 191 1,056 1,057 42.9
1,045 583 2,320 2,321 94.2
2,164 899 5,550 5,553 225.3
22,409 11,790 77,760 77,818 3,158.0
5,694 2,321 15,788 15,798 641.1
11,594 7,750 50,307 50,349 2,043.2
5,121 1,719 11,665 11,671 473.6
Fort WorthArlington, TX M.D. Includes Johnson, Parker, Tarrant, and Wise Counties ............. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,024,417 100.0%
Includes Murray and Whitfield Counties ............................................. City of Dalton3 .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
136,405 33,790 99.5% 100.0%
Includes Pittsylvania County and Danville City.............................. City of Danville................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
106,432 45,114 100.0%
Dalton, GA M.S.A.3
Danville, VA M.S.A.
Dayton, OH M.S.A. Includes Greene, Miami, Montgomery, and Preble Counties ............................................. City of Dayton................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
835,430 155,526 80.6% 100.0%
Decatur, AL M.S.A. Includes Lawrence and Morgan Counties ............................................. City of Decatur ................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
150,246 56,019 97.4% 100.0%
DeltonaDaytona BeachOrmond Beach, FL M.S.A. Includes Volusia County .................. City of Daytona Beach..................... City of Ormond Beach..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
500,013 64,236 38,792 99.4% 100.0%
Denver-Aurora, CO M.S.A. Includes Adams, Arapahoe, Broomfield, Clear Creek, Denver, Douglas, Elbert, Gilpin, Jefferson, and Park Counties........... City of Denver................................... City of Aurora ................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ........... 3 The
2,464,178 573,387 307,621 99.9% 100.0%
FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table.
SECTION II: OFFENSES REPORTED 59 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Des MoinesWest Des Moines, IA M.S.A. Includes Dallas, Guthrie, Madison, Polk, and Warren Counties ............................................. City of Des Moines........................... City of West Des Moines ................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
541,394 192,948 54,988 100.0%
1,514 88 2,076 383.5
4 0 7 1.3
185 15 256 47.3
387 15 463 85.5
938 58 1,350 249.4
11,794 1,586 18,789 3,470.5
2,095 226 3,315 612.3
8,631 1,315 14,003 2,586.5
1,068 45 1,471 271.7
19,708 840 153 466 80 142 745 1,259 273 34 31,430 31,591 709.7
394 7 1 1 1 0 2 19 4 0 485 486 10.9
341 83 27 27 10 13 26 44 25 5 1,381 1,398 31.4
6,575 216 31 146 20 27 170 339 97 5 9,261 9,296 208.8
12,398 534 94 292 49 102 547 857 147 24 20,303 20,411 458.5
58,302
17,767 824 421 581 272 403 755 1,287 483 165 35,833 36,117 811.3
20,918 2,360 1,730 2,945 1,441 949 1,865 1,215 1,903 939 81,394 82,453 1,852.3
19,617
23,647 23,808 1,220.2
428 429 22.0
637 654 33.5
7,688 7,723 395.8
14,894 15,002 768.9
24,134 24,418 1,251.4
42,374 43,433 2,226.0
7,783 311.3
57 2.3
744 29.8
1,573 62.9
5,409 216.3
11,699 467.9
39,020 1,560.6
411 545 566 405.8
8 14 14 10.0
45 53 54 38.7
187 211 219 157.0
171 267 279 200.0
3,294 4,719 4,949 3,548.3
778 1,140 1,189 852.5
2,333 3,263 3,428 2,457.8
183 316 332 238.0
277 942 623.9
1 5 3.3
16 84 55.6
62 141 93.4
198 712 471.6
1,861 4,700 3,112.9
111 922 610.7
1,625 3,492 2,312.8
125 286 189.4
407 468 504.6
1 1 1.1
23 25 27.0
27 27 29.1
356 415 447.4
1,946 2,249 2,424.8
610 713 768.7
1,256 1,429 1,540.7
80 107 115.4
111 150 153 55.8
248 441 447 163.1
4,292 9,471 9,690 3,536.2
707 1,776 1,808 659.8
3,358 7,169 7,343 2,679.7
227 526 539 196.7
Detroit-WarrenLivonia, MI M.S.A.2, 4 Includes the Metropolitan Divisions of Detroit-LivoniaDearborn and Warren-TroyFarmington Hills ............................... City of Detroit................................... City of Warren4 ................................. City of Livonia .................................. City of Dearborn............................... City of Troy........................................ City of Farmington Hills .................. City of Southfield.............................. City of Pontiac................................... City of Taylor..................................... City of Novi ....................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
4,451,481 860,971 134,081 96,261 91,748 81,130 79,475 75,830 67,059 64,048 55,127 98.9% 100.0%
2,418 4,333 1,882 1,517 3,260 3,116 2,864 1,150
267 807 169 165 640 614 478 46
Detroit-LivoniaDearborn, MI M.D.2 Includes Wayne2 County.................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,951,186 97.4% 100.0%
Warren-TroyFarmington Hills, MI M.D.4 Includes Lapeer, Livingston, Macomb, Oakland, and St. Clair Counties ............................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,500,295 100.0%
Dothan, AL M.S.A. Includes Geneva, Henry, and Houston Counties............................. City of Dothan .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
139,475 63,984 96.2% 100.0%
Dover, DE M.S.A. Includes Kent County ...................... City of Dover..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
150,986 35,133 100.0%
Includes Dubuque County .............. City of Dubuque ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
92,749 57,694 100.0%
Dubuque, IA M.S.A.
Duluth, MN-WI M.S.A.5 Includes Carlton and St. Louis Counties, MN5 and Douglas County, WI......................................... City of Duluth, MN5 ......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ........... 2 Because
274,026 83,932 97.6% 100.0%
1 4 4 1.5
of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data. It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table. 5 The data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table. 4
60
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Eau Claire, WI M.S.A. Includes Chippewa and Eau Claire Counties ................................. City of Eau Claire............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
156,492 63,472 100.0%
96 157 100.3
0 1 0.6
12 25 16.0
12 15 9.6
72 116 74.1
1,966 3,574 2,283.8
365 667 426.2
1,503 2,732 1,745.8
98 175 111.8
266 545 336.9
3 4 2.5
11 28 17.3
31 95 58.7
221 418 258.4
2,072 6,066 3,749.9
710 1,956 1,209.2
1,115 2,950 1,823.6
247 1,160 717.1
86
1 3 2.7
18 38 34.0
23 45 40.3
44
1,039 1,873 1,677.0
173 416 372.5
823 1,365 1,222.1
43 92 82.4
134 224 244 277.1
3 3 3 3.4
5 14 15 17.0
28 37 44 50.0
98 170 182 206.7
1,266 2,382 2,583 2,933.3
269 406 437 496.3
956 1,906 2,067 2,347.3
41 70 79 89.7
2,574 2,979 400.3
17 20 2.7
258 289 38.8
472 540 72.6
1,827 2,130 286.2
19,722 22,917 3,079.5
2,149 2,806 377.1
14,545 16,848 2,264.0
3,028 3,263 438.5
543 801 287.2
3 5 1.8
75 117 41.9
264 313 112.2
201 366 131.2
3,068 5,995 2,149.1
831 1,514 542.8
2,062 4,197 1,504.6
175 284 101.8
426 245 1,048 307.8
1 0 1 0.3
55 10 94 27.6
181 40 257 75.5
189 195 696 204.4
7,804 3,137 13,876 4,075.4
1,640 504 3,096 909.3
5,119 2,219 8,958 2,631.0
1,045 414 1,822 535.1
522 774 923 262.6
2 5 6 1.7
56 82 97 27.6
179 197 247 70.3
285 490 573 163.0
5,308 8,002 9,728 2,767.7
1,108 1,491 1,843 524.3
3,905 6,108 7,358 2,093.4
295 403 527 149.9
258 275 829.4
5 5 15.1
43 44 132.7
42 43 129.7
168 183 551.9
1,358 1,583 4,774.4
236 262 790.2
957 1,146 3,456.4
165 175 527.8
241
3 3 1.6
62
26 37 19.5
150 229 120.8
2,745 4,537 2,393.2
530 866 456.8
2,018 3,338 1,760.7
197 333 175.7
367 744 579.9
8 16 12.5
62 106 82.6
38 50 39.0
259 572 445.9
1,705 3,052 2,378.9
582 996 776.3
983 1,777 1,385.1
140 279 217.5
El Centro, CA M.S.A. Includes Imperial County ................ City of El Centro .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
161,766 40,957 100.0%
Elizabethtown, KY M.S.A. Includes Hardin and Larue Counties ............................................. City of Elizabethtown ...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
111,690 23,547 100.0%
Elmira, NY M.S.A. Includes Chemung County .............. City of Elmira.................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
88,057 29,375 88.0% 100.0%
Includes El Paso County.................. City of El Paso .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
744,171 616,029 100.0%
Includes Erie County ....................... City of Erie ........................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
278,948 101,812 100.0%
Includes Lane County ...................... City of Eugene .................................. City of Springfield............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
340,482 147,458 56,201 100.0%
El Paso, TX M.S.A.
Erie, PA M.S.A.
Eugene-Springfield, OR M.S.A.
Evansville, IN-KY M.S.A. Includes Gibson, Posey, Vanderburgh, and Warrick Counties, IN and Henderson and Webster Counties, KY............... City of Evansville, IN ....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
351,489 114,985 82.9% 100.0%
Fairbanks, AK M.S.A. Includes Fairbanks North Star Borough ............................................. City of Fairbanks............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
33,156 31,287 100.0%
Includes Clay County, MN5 and Cass County, ND............................... City of Fargo, ND.............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
189,580 89,998 100.0%
Fargo, ND-MN M.S.A.5
Farmington, NM M.S.A. Includes San Juan County ............... City of Farmington ........................... Total area actually reporting ........... Rate per 100,000 inhabitants ........... 5 The
128,294 44,396 100.0%
data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
SECTION II: OFFENSES REPORTED 61 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Fayetteville, NC M.S.A. Includes Cumberland and Hoke Counties .................................. City of Fayetteville ........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
345,641 167,157 88.3% 100.0%
1,320 2,054 2,136 618.0
21 28 30 8.7
56 85 92 26.6
500 653 667 193.0
743 1,288 1,347 389.7
12,614 19,384 20,319 5,878.6
3,569 5,690 6,021 1,742.0
8,223 12,474 13,005 3,762.6
822 1,220 1,293 374.1
362 322 93 79 1,391 1,403 324.2
3 2 0 0 9 9 2.1
42 65 44 20 256 257 59.4
55 33 14 4 115 118 27.3
262 222 35 55 1,011 1,019 235.5
3,236 2,825 2,340 879 12,722 12,821 2,962.7
656 621 265 128 2,818 2,847 657.9
2,435 1,996 2,008 714 9,241 9,306 2,150.4
145 208 67 37 663 668 154.4
316 560 571 451.7
3 3 3 2.4
51 76 77 60.9
63 73 76 60.1
199 408 415 328.3
3,678 5,072 5,201 4,114.1
471 721 750 593.3
3,087 4,171 4,254 3,365.0
120 180 197 155.8
2,741 3,708 3,712 842.2
30 37 37 8.4
109 223 223 50.6
665 899 900 204.2
1,937 2,549 2,552 579.0
7,246 17,223 17,259 3,915.8
3,241 5,656 5,663 1,284.9
2,965 9,687 9,712 2,203.5
1,040 1,880 1,884 427.5
552 2,145 1,064.4
5 30 14.9
31 94 46.6
117 328 162.8
399 1,693 840.1
2,757 10,933 5,425.0
586 2,705 1,342.2
2,000 7,384 3,664.0
171 844 418.8
147 211 211.4
0 0 0.0
29 34 34.1
19 21 21.0
99 156 156.3
1,204 1,872 1,875.3
113 216 216.4
1,055 1,578 1,580.8
36 78 78.1
418 114 643 227.9
1 1 4 1.4
70 17 107 37.9
33 17 59 20.9
314 79 473 167.7
4,476 1,734 7,881 2,793.7
695 251 1,212 429.6
3,487 1,408 6,168 2,186.5
294 75 501 177.6
787
5 7 8 2.7
78
143 167 177 60.7
561
5,474 8,669 9,554 3,275.1
1,041 2,048 2,366 811.1
4,110 6,071 6,572 2,252.9
323 550 616 211.2
106 101 727 403.7
0 3 4 2.2
11 13 61 33.9
25 21 144 80.0
70 64 518 287.6
826 770 5,670 3,148.4
161 82 1,182 656.3
601 634 4,125 2,290.5
64 54 363 201.6
FayettevilleSpringdaleRogers, AR-MO M.S.A. Includes Benton, Madison, and Washington Counties, AR and McDonald County, MO ................... City of Fayetteville, AR.................... City of Springdale, AR ..................... City of Rogers, AR ........................... City of Bentonville, AR.................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
432,754 70,334 65,695 54,223 34,232 99.4% 100.0%
Flagstaff, AZ M.S.A. Includes Coconino County .............. City of Flagstaff................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
126,419 58,978 97.4% 100.0%
Includes Genesee County................ City of Flint ....................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
440,751 116,024 99.7% 100.0%
Flint, MI M.S.A.
Florence, SC M.S.A. Includes Darlington and Florence Counties............................. City of Florence ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
201,529 31,377 100.0%
Fond du Lac, WI M.S.A. Includes Fond du Lac County ......... City of Fond du Lac.......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
99,825 42,349 100.0%
Includes Larimer County................. City of Fort Collins ........................... City of Loveland ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
282,097 130,935 62,586 100.0%
Fort CollinsLoveland, CO M.S.A.
Fort Smith, AR-OK M.S.A.1 Includes Crawford, Franklin, and Sebastian Counties, AR and Le Flore and Sequoyah1 Counties, OK ..................................... City of Fort Smith, AR ..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
291,717 83,860 87.8% 100.0%
Fort Walton BeachCrestview-Destin, FL M.S.A. Includes Okaloosa County .............. City of Fort Walton Beach ............... City of Crestview .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ........... 1
180,091 19,245 18,753 100.0%
The FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
62
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Fort Wayne, IN M.S.A. Includes Allen, Wells, and Whitley Counties .............................. City of Fort Wayne............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
410,350 248,423 91.1% 100.0%
762 825 882 214.9
24 25 26 6.3
85 98 103 25.1
407 427 443 108.0
246 275 310 75.5
10,083 11,724 12,576 3,064.7
2,129 2,448 2,609 635.8
7,312 8,508 9,132 2,225.4
642 768 835 203.5
3,043 4,450 495.3
52 73 8.1
99 183 20.4
1,104 1,430 159.2
1,788 2,764 307.7
20,969 35,941 4,000.6
3,897 7,159 796.9
13,049 22,335 2,486.1
4,023 6,447 717.6
1,122 2,291 2,296 942.9
5 7 7 2.9
93 150 150 61.6
237 410 412 169.2
787 1,724 1,727 709.2
5,795
1,522 3,001 3,008 1,235.3
3,837
436 788 791 324.8
184 416 233.2
2 4 2.2
18 37 20.7
55 104 58.3
109 271 151.9
1,920 4,894 2,743.2
293 1,023 573.4
1,494 3,313 1,857.0
133 558 312.8
18 235 181.0
1 5 3.9
2 41 31.6
5 12 9.2
10 177 136.3
471 2,391 1,841.5
51 376 289.6
413 1,947 1,499.5
7 68 52.4
312 526 536 465.6
10 19 19 16.5
6 10 11 9.6
100 132 135 117.3
196 365 371 322.3
2,843 5,394 5,505 4,782.0
755 1,656 1,683 1,462.0
1,921 3,391 3,469 3,013.4
167 347 353 306.6
120
1 2 2 2.1
30
11 11 11 11.4
78 120 121 125.0
1,762 2,541 2,576 2,660.8
253 426 431 445.2
1,379 1,938 1,965 2,029.7
130 177 180 185.9
290 473 474 343.7
0 2 2 1.5
36 52 52 37.7
31 51 51 37.0
223 368 369 267.6
2,532 4,111 4,124 2,990.4
327 719 721 522.8
2,033 3,067 3,077 2,231.2
172 325 326 236.4
1,874 356 3,277 3,298 425.6
20 1 27 27 3.5
69 42 355 357 46.1
669 96 878 883 113.9
1,116 217 2,017 2,031 262.1
10,149 2,177 24,624 24,826 3,203.7
2,629 581 5,853 5,891 760.2
6,931 1,391 17,471 17,614 2,273.0
589 205 1,300 1,321 170.5
178 240 300.5
1 2 2.5
6 8 10.0
29 29 36.3
142 201 251.6
3,061 3,340 4,181.3
235 278 348.0
2,713 2,921 3,656.7
113 141 176.5
Fresno, CA M.S.A. Includes Fresno County ................... City of Fresno.................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
898,391 472,170 100.0%
Gainesville, FL M.S.A.3 Includes Alachua and Gilchrist3 Counties ........................... City of Gainesville ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
243,506 108,289 99.7% 100.0%
Gainesville, GA M.S.A. Includes Hall County ....................... City of Gainesville ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
178,408 34,494 100.0%
Glens Falls, NY M.S.A. Includes Warren and Washington Counties ....................... City of Glens Falls ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
129,840 14,043 100.0%
Goldsboro, NC M.S.A. Includes Wayne County ................... City of Goldsboro ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
115,119 38,053 98.1% 100.0%
Grand Forks, ND-MN M.S.A.5 Includes Polk County, MN5 and Grand Forks County, ND ......... City of Grand Forks, ND ................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
96,813 50,477 98.7% 100.0%
Grand Junction, CO M.S.A. Includes Mesa County...................... City of Grand Junction..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
137,907 47,235 99.7% 100.0%
Grand RapidsWyoming, MI M.S.A. Includes Barry, Ionia, Kent, and Newaygo Counties .................... City of Grand Rapids ....................... City of Wyoming ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
774,927 192,376 70,243 99.1% 100.0%
Great Falls, MT M.S.A. Includes Cascade County ................ City of Great Falls ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ........... 3 The
79,880 56,159 100.0%
FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table. data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
5 The
SECTION II: OFFENSES REPORTED 63 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Greeley, CO M.S.A. Includes Weld County ...................... City of Greeley.................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
247,806 90,707 98.1% 100.0%
423 753 765 308.7
4 7 7 2.8
50 79 81 32.7
48 63 65 26.2
321 604 612 247.0
3,566 6,507 6,664 2,689.2
703 1,398 1,424 574.6
2,610 4,571 4,686 1,891.0
253 538 554 223.6
616 711 235.2
2 4 1.3
67 96 31.8
89 91 30.1
458 520 172.0
2,843 6,882 2,276.7
565 1,283 424.4
2,094 5,225 1,728.5
184 374 123.7
2,312 819 3,914 3,920 561.9
40 13 73 73 10.5
94 38 166 166 23.8
942 330 1,493 1,495 214.3
1,236 438 2,182 2,186 313.3
14,778 5,654 31,703 31,768 4,553.7
4,704 1,840 9,690 9,706 1,391.3
8,943 3,401 19,797 19,843 2,844.3
1,131 413 2,216 2,219 318.1
663 1,032 610.1
8 14 8.3
20 46 27.2
275 330 195.1
360 642 379.5
4,928 8,422 4,979.0
1,424 2,596 1,534.7
3,237 5,343 3,158.7
267 483 285.5
659 92 103 4,251 692.7
8 1 1 40 6.5
26 5 6 247 40.2
172 15 20 877 142.9
453 71 76 3,087 503.0
3,810 545 939 23,927 3,898.8
643 70 126 6,026 981.9
2,805 427 749 15,611 2,543.7
362 48 64 2,290 373.1
151 45 441 299.0
0 0 7 4.7
8 4 29 19.7
40 5 92 62.4
103 36 313 212.2
1,674 216 3,439 2,331.4
244 65 660 447.4
1,233 119 2,214 1,500.9
197 32 565 383.0
734 55 1,671 1,683 319.8
12 0 21 21 4.0
52 12 158 159 30.2
443 26 665 668 126.9
227 17 827 835 158.6
2,297 663 10,534 10,644 2,022.3
576 72 1,933 1,950 370.5
1,556 572 8,124 8,211 1,560.0
165 19 477 483 91.8
150 188 165.0
0 0 0.0
11 20 17.5
37 40 35.1
102 128 112.3
1,240 1,930 1,693.5
250 412 361.5
874 1,382 1,212.6
116 136 119.3
1,411 83 221 48 2,936 291.6
31 1 3 0 46 4.6
58 2 15 0 182 18.1
642 53 100 25 1,328 131.9
680 27 103 23 1,380 137.0
7,206 1,468 1,614 1,267 29,632 2,942.8
1,168 241 349 179 5,217 518.1
4,437 1,063 1,030 966 20,804 2,066.0
1,601 164 235 122 3,611 358.6
Green Bay, WI M.S.A. Includes Brown, Kewaunee, and Oconto Counties............................... City of Green Bay............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
302,277 100,010 100.0%
Includes Guilford, Randolph, and Rockingham Counties .............. City of Greensboro........................... City of High Point............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
697,634 238,122 97,676 99.8% 100.0%
Includes Greene and Pitt Counties ............................................. City of Greenville ............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
169,150 73,319 100.0%
Includes Greenville, Laurens, and Pickens Counties ....................... City of Greenville ............................. City of Mauldin ................................. City of Easley .................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
613,703 57,595 20,494 19,372 100.0%
GreensboroHigh Point, NC M.S.A.
Greenville, NC M.S.A.
GreenvilleMauldin-Easley, SC M.S.A.
Hanford-Corcoran, CA M.S.A. Includes Kings County ..................... City of Hanford................................. City of Corcoran ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
147,510 49,694 23,715 100.0%
Harrisburg-Carlisle, PA M.S.A. Includes Cumberland, Dauphin, and Perry Counties ........................... City of Harrisburg............................. City of Carlisle .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
526,335 46,924 18,317 99.0% 100.0%
Includes Rockingham County and Harrisonburg City ..................... City of Harrisonburg ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
113,967 40,869 100.0%
Includes Hartford, Middlesex, and Tolland Counties........................ City of Hartford ................................ City of West Hartford....................... City of East Hartford ....................... City of Middletown........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,006,947 124,558 60,644 48,752 47,743 100.0%
Harrisonburg, VA M.S.A.
HartfordWest HartfordEast Hartford, CT M.S.A.
64
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Hattiesburg, MS M.S.A. Includes Forrest, Lamar, and Perry Counties .................................. City of Hattiesburg ........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
135,875 48,384 75.8% 100.0%
234 309 362 266.4
2 2 4 2.9
21 48 54 39.7
135 151 161 118.5
76 108 143 105.2
2,588 3,470 4,189 3,083.0
596 931 1,129 830.9
1,821 2,310 2,755 2,027.6
171 229 305 224.5
368 51 77 1,026 1,037 283.4
5 1 2 19 19 5.2
21 1 8 85 86 23.5
116 15 17 250 253 69.1
226 34 50 672 679 185.6
3,398 768 713 12,794 12,923 3,531.9
783 217 179 3,743 3,774 1,031.4
2,338 517 497 8,087 8,178 2,235.1
277 34 37 964 971 265.4
225 317 426.3
4 5 6.7
16 26 35.0
44 57 76.6
161 229 307.9
2,055 2,876 3,867.2
479 702 943.9
1,511 2,072 2,786.1
65 102 137.2
2,613 2,613 288.4
19 19 2.1
226 226 24.9
943 943 104.1
1,425 1,425 157.3
37,197 37,197 4,106.1
5,777 5,777 637.7
26,483 26,483 2,923.4
4,937 4,937 545.0
442 538 558.8
7 10 10.4
10 24 24.9
116 123 127.8
309 381 395.8
3,951 6,257 6,499.4
848 1,784 1,853.1
2,894 4,090 4,248.4
209 383 397.8
340 120 997 490.2
4 1 12 5.9
16 10 66 32.4
65 21 134 65.9
255 88 785 385.9
1,489 679 7,104 3,492.6
235 126 1,037 509.8
1,182 539 5,666 2,785.6
72 14 401 197.1
24,564 100 324 585 38,464 38,465 679.1
351 0 7 7 496 496 8.8
694 17 44 82 1,749 1,749 30.9
11,479 39 113 209 15,229 15,229 268.9
12,040 44 160 287 20,990 20,991 370.6
123,326 1,578 3,098 3,475 232,740 232,759 4,109.3
29,044 210 731 757 56,715 56,719 1,001.4
74,817 1,268 2,048 2,394 144,760 144,774 2,555.9
19,465 100 319 324 31,265 31,266 552.0
1,379 1,626 1,885 493.2
21 25 31 8.1
96 121 138 36.1
586 620 712 186.3
676 860 1,004 262.7
10,731 13,300 15,986 4,182.6
2,283 2,960 3,529 923.3
7,282 8,847 10,778 2,820.0
1,166 1,493 1,679 439.3
Hickory-LenoirMorganton, NC M.S.A. Includes Alexander, Burke, Caldwell, and Catawba Counties ............................................. City of Hickory ................................. City of Lenoir.................................... City of Morganton ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
365,896 41,008 17,988 17,183 99.3% 100.0%
HinesvilleFort Stewart, GA M.S.A. Includes Liberty and Long Counties ............................................. City of Hinesville .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
74,369 29,466 100.0%
Honolulu, HI M.S.A. Includes Honolulu County .............. City of Honolulu ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
905,903 905,903 100.0%
Includes Garland County ................ City of Hot Springs........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
96,271 38,828 100.0%
Hot Springs, AR M.S.A.
Houma-Bayou Cane-Thibodaux, LA M.S.A. Includes Lafourche and Terrebonne Parishes......................... City of Houma................................... City of Thibodaux ............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
203,401 32,597 14,501 100.0%
Houston-Sugar Land-Baytown, TX M.S.A. Includes Austin, Brazoria, Chambers, Fort Bend, Galveston, Harris, Liberty, Montgomery, San Jacinto, and Waller Counties ............................................. City of Houston................................. City of Sugar Land ........................... City of Baytown ................................ City of Galveston.............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
5,664,249 2,169,544 82,402 69,040 57,590 99.9% 100.0%
Huntsville, AL M.S.A. Includes Limestone and Madison Counties............................. City of Huntsville.............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
382,202 169,391 83.9% 100.0%
SECTION II: OFFENSES REPORTED 65 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Idaho Falls, ID M.S.A. Includes Bonneville and Jefferson Counties ............................ City of Idaho Falls ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
119,795 53,049 100.0%
222 342 285.5
0 1 0.8
32 53 44.2
16 17 14.2
174 271 226.2
1,927 3,173 2,648.7
372 680 567.6
1,432 2,277 1,900.7
123 216 180.3
9,841 29 10,758 11,003 652.1
114 1 125 130 7.7
505 3 588 611 36.2
4,046 6 4,311 4,375 259.3
5,176 19 5,734 5,887 348.9
50,289 1,009 66,567 70,304 4,166.9
13,385 123 15,880 16,620 985.1
29,224 840 41,891 44,594 2,643.1
7,680 46 8,796 9,090 538.8
207 362 375 266.6
0 0 0 0.0
18 31 32 22.8
33 45 46 32.7
156 286 297 211.2
1,333 2,841 3,011 2,140.8
217 550 578 410.9
1,054 2,167 2,301 1,636.0
62 124 132 93.8
58 116 115.2
0 0 0.0
8 19 18.9
22 28 27.8
28 69 68.5
965 2,321 2,305.2
147 343 340.7
805 1,925 1,911.9
13 53 52.6
225 570 578 352.8
1 2 2 1.2
39 98 99 60.4
50 76 78 47.6
135 394 399 243.5
1,682 4,401 4,469 2,727.7
281 894 907 553.6
1,291 3,239 3,287 2,006.2
110 268 275 167.8
1,512 1,936 2,157 404.7
46 60 66 12.4
141 202 229 43.0
862 967 1,021 191.6
463 707 841 157.8
12,465 17,490 20,628 3,870.3
3,897 5,384 6,201 1,163.5
6,984 10,217 12,280 2,304.0
1,584 1,889 2,147 402.8
681 953 837.4
9 12 10.5
27 48 42.2
266 283 248.7
379 610 536.0
4,606 5,891 5,176.3
1,106 1,490 1,309.2
2,930 3,702 3,252.9
570 699 614.2
8,146
123 139 139 10.8
249 361 363 28.1
3,114 3,480 3,494 270.7
4,660
45,416 60,532 60,819 4,711.8
11,115 14,685 14,748 1,142.6
29,484 39,968 40,165 3,111.7
4,817 5,879 5,906 457.6
278 588 386.0
7 11 7.2
30 65 42.7
65 116 76.1
176 396 259.9
2,297 5,357 3,516.5
550 1,624 1,066.1
1,614 3,389 2,224.7
133 344 225.8
158 370 230.3
0 5 3.1
25 47 29.3
55 125 77.8
78 193 120.2
2,731 5,462 3,400.4
431 964 600.1
2,217 4,266 2,655.8
83 232 144.4
IndianapolisCarmel, IN M.S.A. Includes Boone, Brown, Hamilton, Hancock, Hendricks, Johnson, Marion, Morgan, Putnam, and Shelby Counties ......... City of Indianapolis .......................... City of Carmel................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,687,197 797,268 62,037 89.6% 100.0%
Iowa City, IA M.S.A. Includes Johnson and Washington Counties ....................... City of Iowa City............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
140,650 62,700 94.8% 100.0%
Ithaca, NY M.S.A. Includes Tompkins County .............. City of Ithaca..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
100,687 29,970 100.0%
Includes Jackson County ................. City of Jackson .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
163,839 34,325 98.6% 100.0%
Jackson, MI M.S.A.
Jackson, MS M.S.A. Includes Copiah, Hinds, Madison, Rankin, and Simpson Counties ............................. City of Jackson .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
532,981 175,525 79.8% 100.0%
Jackson, TN M.S.A. Includes Chester and Madison Counties ............................................. City of Jackson .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
113,807 63,125 100.0%
Includes Baker, Clay, Duval, Nassau,1 and St. Johns Counties...... City of Jacksonville........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,290,776 797,350 99.5% 100.0%
Jacksonville, FL M.S.A.1
Jacksonville, NC M.S.A. Includes Onslow County.................. City of Jacksonville........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
152,338 70,368 100.0%
Includes Rock County...................... City of Janesville ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
160,629 63,383 100.0%
Janesville, WI M.S.A.
1
The FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
66
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Jefferson City, MO M.S.A.2 Includes Callaway, Cole, Moniteau,2 and Osage Counties ..... City of Jefferson City ....................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
145,564 39,121 100.0%
Includes Carter, Unicoi, and Washington Counties ....................... City of Johnson City ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
194,592 60,488 100.0%
286 471 323.6
1 3 2.1
25 41 28.2
30 44 30.2
230 383 263.1
1,484 3,848 2,643.5
244 731 502.2
1,186 2,921 2,006.7
54 196 134.6
343 814 418.3
1 4 2.1
22 35 18.0
57 77 39.6
263 698 358.7
3,023 6,034 3,100.8
566 1,395 716.9
2,295 4,286 2,202.6
162 353 181.4
145 289 316 216.7
1 2 2 1.4
3 9 11 7.5
57 77 84 57.6
84 201 219 150.2
864 2,792 3,030 2,077.6
262 542 578 396.3
546 2,084 2,272 1,557.8
56 166 180 123.4
333 477 417.6
5 5 4.4
30 46 40.3
92 102 89.3
206 324 283.7
3,526 5,060 4,430.0
1,419 2,021 1,769.4
1,993 2,875 2,517.0
114 164 143.6
372 687 404.1
1 8 4.7
38 65 38.2
91 110 64.7
242 504 296.4
4,812 8,102 4,765.5
845 1,563 919.3
3,554 5,897 3,468.6
413 642 377.6
835 104 1,477 1,487 466.5
9 1 14 14 4.4
81 20 219 220 69.0
302 20 398 400 125.5
443 63 846 853 267.6
4,472 2,124 12,213 12,318 3,864.1
1,039 343 2,796 2,816 883.4
3,089 1,708 8,630 8,704 2,730.4
344 73 787 798 250.3
236 150 105 574 248.1
1 0 0 4 1.7
38 29 13 93 40.2
31 43 23 101 43.7
166 78 69 376 162.5
2,362 1,811 1,249 6,619 2,860.8
341 408 213 1,325 572.7
1,862 1,138 960 4,704 2,033.1
159 265 76 590 255.0
815 203 1,399 1,402 395.9
12 1 19 19 5.4
82 22 156 156 44.1
202 76 344 345 97.4
519 104 880 882 249.1
5,680 2,973 12,981 13,020 3,676.5
2,319 723 4,247 4,255 1,201.5
3,098 2,107 8,155 8,183 2,310.7
263 143 579 582 164.3
335 117 77 1,146 375.6
2 0 0 8 2.6
21 16 11 120 39.3
57 9 17 124 40.6
255 92 49 894 293.0
3,064 1,436 764 11,308 3,706.1
521 207 122 2,394 784.6
2,395 1,129 604 8,185 2,682.6
148 100 38 729 238.9
Johnson City, TN M.S.A.
Johnstown, PA M.S.A. Includes Cambria County................ City of Johnstown ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
145,844 23,609 91.9% 100.0%
Jonesboro, AR M.S.A. Includes Craighead and Poinsett Counties .............................. City of Jonesboro.............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
114,222 61,199 100.0%
Includes Jasper and Newton Counties ............................................. City of Joplin ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
170,012 48,261 100.0%
Includes Kalamazoo and Van Buren Counties ......................... City of Kalamazoo............................ City of Portage .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
318,778 71,462 45,287 98.9% 100.0%
Includes Benton and Franklin Counties ............................................. City of Kennewick ............................ City of Pasco...................................... City of Richland................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
231,368 63,147 52,761 45,555 100.0%
Includes Bell, Coryell, and Lampasas Counties........................... City of Killeen ................................... City of Temple ................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
354,141 104,188 55,057 99.7% 100.0%
Joplin, MO M.S.A.
Kalamazoo-Portage, MI M.S.A.
Kennewick-PascoRichland, WA M.S.A.
Killeen-TempleFort Hood, TX M.S.A.
Kingsport-BristolBristol, TN-VA M.S.A. Includes Hawkins and Sullivan Counties, TN and Scott and Washington Counties and Bristol City, VA ................................. City of Kingsport, TN ....................... City of Bristol, TN ............................ City of Bristol, VA ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ........... 2 Because
305,118 44,079 25,346 17,484 100.0%
of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data.
SECTION II: OFFENSES REPORTED 67 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Kingston, NY M.S.A. Includes Ulster County .................... City of Kingston................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
182,932 22,741 100.0%
67 456 249.3
1 3 1.6
5 41 22.4
38 66 36.1
23 346 189.1
699 3,003 1,641.6
122 623 340.6
551 2,251 1,230.5
26 129 70.5
2,058 3,602 528.0
27 38 5.6
109 202 29.6
681 903 132.4
1,241 2,459 360.4
12,862 26,674 3,909.8
2,507 6,168 904.1
8,984 18,024 2,641.9
1,371 2,482 363.8
216 277 275.0
1 1 1.0
20 24 23.8
62 68 67.5
133 184 182.7
2,717 3,532 3,506.3
450 703 697.9
2,142 2,679 2,659.5
125 150 148.9
164
1 1 1 0.8
15
22 29 32 24.6
126 162 168 129.3
1,867 3,039 3,251 2,502.8
305 472 503 387.2
1,475 2,436 2,604 2,004.7
87 131 144 110.9
303 443 454 243.2
0 2 2 1.1
36 57 58 31.1
68 79 82 43.9
199 305 312 167.1
3,083 5,219 5,403 2,894.1
610 1,157 1,194 639.6
2,290 3,783 3,915 2,097.1
183 279 294 157.5
1,293 1,880 2,029 794.3
15 22 24 9.4
68 104 112 43.8
319 394 416 162.8
891 1,360 1,477 578.2
7,118 9,823 10,953 4,287.7
1,410 2,147 2,357 922.7
5,152 6,884 7,739 3,029.5
556 792 857 335.5
134 89 563 282.4
5 1 16 8.0
20 8 34 17.1
8 16 78 39.1
101 64 435 218.2
1,813 2,070 8,997 4,513.4
307 415 2,242 1,124.7
1,388 1,485 5,977 2,998.4
118 170 778 390.3
600 218 3,020 3,038 534.4
6 2 31 31 5.5
39 20 190 191 33.6
201 76 731 737 129.7
354 120 2,068 2,079 365.7
5,372 2,008 22,251 22,368 3,935.0
1,093 507 6,292 6,318 1,111.5
3,956 1,355 14,337 14,417 2,536.3
323 146 1,622 1,633 287.3
515 978 1,007 202.8
5 12 12 2.4
38 104 106 21.3
241 385 393 79.2
231 477 496 99.9
3,252 10,377 10,636 2,142.1
556 1,948 1,987 400.2
2,441 7,779 7,984 1,608.0
255 650 665 133.9
1,244 201 1,983 2,028 447.8
16 0 21 21 4.6
92 22 247 252 55.6
269 34 387 397 87.7
867 145 1,328 1,358 299.8
4,124 978 11,354 11,774 2,599.7
1,252 231 2,824 2,904 641.2
2,517 700 7,853 8,150 1,799.5
355 47 677 720 159.0
Knoxville, TN M.S.A. Includes Anderson, Blount, Knox, Loudon, and Union Counties ............................................. City of Knoxville............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
682,242 183,319 100.0%
Kokomo, IN M.S.A. Includes Howard and Tipton Counties ............................................. City of Kokomo ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
100,734 45,832 100.0%
Includes Houston County, MN5 and La Crosse County, WI ............... City of La Crosse, WI ....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
129,892 50,032 95.1% 100.0%
Includes Benton, Carroll, and Tippecanoe Counties........................ City of Lafayette ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
186,687 61,257 95.2% 100.0%
Includes Lafayette and St. Martin Parishes............................ City of Lafayette ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
255,453 114,212 91.7% 100.0%
La Crosse, WI-MN M.S.A.5
Lafayette, IN M.S.A.
Lafayette, LA M.S.A.
Lake Havasu CityKingman, AZ M.S.A. Includes Mohave County................. City of Lake Havasu City ................ City of Kingman................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
199,339 58,699 28,306 100.0%
Includes Polk County ....................... City of Lakeland ............................... City of Winter Haven ....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
568,435 91,009 31,556 99.5% 100.0%
Includes Lancaster County.............. City of Lancaster............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
496,516 54,562 97.4% 100.0%
Lakeland-Winter Haven, FL M.S.A.
Lancaster, PA M.S.A.
Lansing-East Lansing, MI M.S.A. Includes Clinton, Eaton, and Ingham Counties............................... City of Lansing.................................. City of East Lansing ......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ........... 5 The
452,907 113,643 45,979 96.9% 100.0%
data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
68
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Laredo, TX M.S.A. Includes Webb County ..................... City of Laredo ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
237,170 221,253 100.0%
Includes Dona Ana County............. City of Las Cruces2 ........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
196,085 87,958 98.9% 100.0%
Includes Clark County ..................... City of Las Vegas Metropolitan Police Department............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,834,533
Includes Douglas County ................ City of Lawrence............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
114,212 90,044 100.0%
Includes Comanche County ............ City of Lawton .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
109,016 86,864 100.0%
Includes Lebanon County ............... City of Lebanon ................................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
127,496 24,144 96.4% 100.0%
1,281 1,342 565.8
10 13 5.5
81 82 34.6
325 340 143.4
865 907 382.4
13,949 14,399 6,071.2
1,878 2,015 849.6
10,534 10,800 4,553.7
1,537 1,584 667.9
437 860 873 445.2
6 10 10 5.1
40 96 97 49.5
96 125 126 64.3
295 629 640 326.4
4,278 5,802 5,868 2,992.6
860 1,346 1,363 695.1
3,158 4,027 4,068 2,074.6
260 429 437 222.9
13,641 16,272 887.0
119 157 8.6
723 849 46.3
5,251 6,185 337.1
7,548 9,081 495.0
58,897 75,766 4,130.0
15,296 19,784 1,078.4
27,156 35,846 1,954.0
16,445 20,136 1,097.6
409 471 412.4
0 2 1.8
48 59 51.7
63 66 57.8
298 344 301.2
5,030 5,774 5,055.5
550 688 602.4
4,283 4,855 4,250.9
197 231 202.3
1,075 1,092 1,001.7
9 10 9.2
75 80 73.4
184 187 171.5
807 815 747.6
4,638 4,871 4,468.2
1,555 1,619 1,485.1
2,813 2,960 2,715.2
270 292 267.9
112 308 319 250.2
1 1 1 0.8
13 37 38 29.8
44 72 75 58.8
54 198 205 160.8
768 2,077 2,169 1,701.2
124 310 324 254.1
581 1,663 1,736 1,361.6
63 104 109 85.5
41 75 125.1
1 1 1.7
12 13 21.7
3 8 13.3
25 53 88.4
1,258 1,883 3,139.7
239 340 566.9
959 1,445 2,409.4
60 98 163.4
97 29 155 144.6
2 2 4 3.7
23 6 39 36.4
34 10 46 42.9
38 11 66 61.6
1,117 817 2,623 2,447.5
260 152 605 564.5
813 633 1,908 1,780.4
44 32 110 102.6
1,790 2,028 2,070 468.7
16 20 20 4.5
111 151 156 35.3
550 624 636 144.0
1,113 1,233 1,258 284.8
9,349 13,915 14,344 3,247.6
2,114 3,065 3,170 717.7
6,623 10,009 10,304 2,332.9
612 841 870 197.0
351 410 426 405.3
1 2 2 1.9
46 61 64 60.9
109 128 134 127.5
195 219 226 215.0
2,633 4,097 4,348 4,136.5
773 1,047 1,093 1,039.8
1,681 2,827 3,018 2,871.2
179 223 237 225.5
1,325 1,358 474.8
6 8 2.8
113 116 40.6
173 175 61.2
1,033 1,059 370.2
11,755 12,619 4,411.6
1,904 2,063 721.2
9,428 10,098 3,530.3
423 458 160.1
Las Cruces, NM M.S.A.2
Las Vegas-Paradise, NV M.S.A.
1,341,156 100.0%
Lawrence, KS M.S.A.
Lawton, OK M.S.A.
Lebanon, PA M.S.A.
Lewiston, ID-WA M.S.A. Includes Nez Perce County, ID and Asotin County, WA ................... City of Lewiston, ID ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
59,973 31,356 100.0%
Lewiston-Auburn, ME M.S.A. Includes Androscoggin County....... City of Lewiston................................ City of Auburn .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
107,169 35,747 23,150 100.0%
Lexington-Fayette, KY M.S.A. Includes Bourbon, Clark, Fayette, Jessamine, Scott, and Woodford Counties ............................................. City of Lexington.............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
441,674 272,815 94.4% 100.0%
Lima, OH M.S.A. Includes Allen County ..................... City of Lima....................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
105,114 37,767 91.8% 100.0%
Lincoln, NE M.S.A. Includes Lancaster and Seward Counties ............................................. City of Lincoln .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ........... 2 Because
286,039 243,243 100.0%
of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data.
SECTION II: OFFENSES REPORTED 69 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Little Rock-North Little Rock-Conway, AR M.S.A. Includes Faulkner, Grant, Lonoke, Perry, Pulaski, and Saline Counties ................................. City of Little Rock............................ City of North Little Rock ................ City of Conway ................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
659,776 184,594 58,680 57,245 99.8% 100.0%
2,987 808 183 5,476 5,484 831.2
51 18 1 87 87 13.2
123 39 39 318 319 48.3
1,022 232 64 1,503 1,505 228.1
1,791 519 79 3,568 3,573 541.5
16,112 5,845 2,319 36,461 36,520 5,535.2
3,932 1,537 465 9,459 9,476 1,436.2
10,915 3,799 1,681 24,193 24,232 3,672.8
1,265 509 173 2,809 2,812 426.2
27 85 74.4
0 0 0.0
3 26 22.8
3 5 4.4
21 54 47.3
417 1,525 1,335.2
60 287 251.3
337 1,184 1,036.6
20 54 47.3
723 1,237 1,240 605.9
5 9 9 4.4
54 142 142 69.4
185 245 246 120.2
479 841 843 411.9
4,971 9,840 9,882 4,828.7
1,091 2,286 2,295 1,121.4
3,415 6,676 6,706 3,276.8
465 878 881 430.5
134 296 293.3
3 3 3.0
45 82 81.3
39 64 63.4
47 147 145.7
2,341 4,378 4,338.3
480 953 944.3
1,662 3,056 3,028.3
199 369 365.7
27,806 3,426 1,947 1,423 375 143 1,235 744 343 266 467 258 274 1,623 684 596 172 137 242 196 448 483 156 111 138 71,610 553.8
395 42 23 17 2 4 27 11 2 1 5 0 3 37 16 2 1 2 2 2 5 12 2 0 0 941 7.3
1,004 138 65 96 12 19 32 33 21 8 41 39 14 42 10 30 4 17 11 3 8 11 9 8 4 2,788 21.6
13,481 1,506 779 581 166 44 485 303 213 116 186 77 98 466 220 236 53 64 116 126 287 198 71 40 78 30,737 237.7
12,926 1,740 1,080 729 195 76 691 397 107 141 235 142 159 1,078 438 328 114 54 113 65 148 262 74 63 56 37,144 287.3
101,457 12,979 7,797 8,798 3,667 3,256 5,211 4,304 3,187 3,049 4,128 3,336 2,767 2,805 2,605 3,108 2,228 1,575 1,948 1,290 1,428 1,936 1,704 1,443 1,880 331,593 2,564.5
19,629 2,905 1,013 1,827 611 637 972 825 476 458 883 509 487 636 429 682 645 288 482 273 309 415 375 328 333 67,583 522.7
58,304 7,214 4,684 5,695 2,533 2,404 3,085 2,993 2,250 2,158 2,731 2,426 1,840 1,034 1,593 2,099 1,429 1,106 912 766 703 843 1,183 991 1,242 195,342 1,510.8
23,524 2,860 2,100 1,276 523 215 1,154 486 461 433 514 401 440 1,135 583 327 154 181 554 251 416 678 146 124 305 68,668 531.1
63,397 638.5
864 8.7
2,285 23.0
27,682 278.8
32,566 328.0
266,122 2,680.0
55,027 554.2
151,414 1,524.8
59,681 601.0
Logan, UT-ID M.S.A. Includes Franklin County, ID and Cache County, UT..................... City of Logan, UT............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
114,216 48,403 100.0%
Includes Gregg, Rusk, and Upshur Counties............................... City of Longview............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
204,652 75,288 99.4% 100.0%
Longview, TX M.S.A.
Longview, WA M.S.A. Includes Cowlitz County.................. City of Longview............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
100,916 37,068 100.0%
Los AngelesLong BeachSanta Ana, CA M.S.A. Includes the Metropolitan Divisions of Los AngelesLong Beach-Glendale and Santa Ana-Anaheim-Irvine ............. City of Los Angeles .......................... City of Long Beach........................... City of Santa Ana ............................. City of Anaheim................................ City of Glendale................................ City of Irvine ..................................... City of Pomona ................................. City of Pasadena ............................... City of Torrance ................................ City of Orange................................... City of Fullerton ............................... City of Costa Mesa ........................... City of Burbank ................................ City of Compton ............................... City of Carson ................................... City of Santa Monica........................ City of Newport Beach .................... City of Tustin ..................................... City of Montebello ........................... City of Monterey Park ..................... City of Gardena ................................ City of Paramount ............................ City of Arcadia.................................. City of Fountain Valley .................... City of Cerritos ................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
12,929,875 3,870,487 473,959 340,223 335,133 200,049 201,872 155,161 145,553 142,970 135,818 133,855 109,835 104,871 95,990 94,359 88,584 80,377 69,945 63,071 62,472 59,951 56,508 56,967 55,973 52,462 100.0%
Los AngelesLong BeachGlendale, CA M.D. Includes Los Angeles County ......... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
9,929,814 100.0%
70
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Santa Ana-AnaheimIrvine, CA M.D. Includes Orange County.................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
3,000,062 100.0%
8,213 273.8
77 2.6
503 16.8
3,055 101.8
4,578 152.6
65,471 2,182.3
12,556 418.5
43,928 1,464.2
8,987 299.6
4,238 5,200 5,340 432.9
71 85 87 7.1
194 280 291 23.6
1,910 2,261 2,305 186.9
2,063 2,574 2,657 215.4
29,543 43,488 45,424 3,682.5
7,588 10,720 11,071 897.5
18,772 28,524 29,961 2,428.9
3,183 4,244 4,392 356.1
1,953 2,092 795.5
15 15 5.7
101 115 43.7
259 267 101.5
1,578 1,695 644.5
11,684 13,038 4,957.6
3,136 3,627 1,379.1
7,942 8,707 3,310.8
606 704 267.7
332 562 233.7
1 6 2.5
23 62 25.8
81 123 51.1
227 371 154.2
2,381 4,854 2,018.1
465 857 356.3
1,754 3,664 1,523.3
162 333 138.4
732 1,029 1,037 450.2
22 30 30 13.0
43 65 65 28.2
302 376 379 164.6
365 558 563 244.4
7,997 11,907 11,972 5,198.1
1,979 2,902 2,914 1,265.2
5,166 7,783 7,830 3,399.7
852 1,222 1,228 533.2
415 746 501.5
2 5 3.4
14 31 20.8
97 118 79.3
302 592 397.9
1,272 3,184 2,140.3
460 1,078 724.6
595 1,600 1,075.5
217 506 340.1
834 1,304 1,307 237.4
8 11 11 2.0
57 123 123 22.3
359 444 445 80.8
410 726 728 132.2
8,224 16,146 16,209 2,943.8
2,059 3,359 3,367 611.5
5,658 11,956 12,008 2,180.8
507 831 834 151.5
163 256 202.5
5 7 5.5
40 66 52.2
63 81 64.1
55 102 80.7
2,886 5,487 4,340.6
865 1,526 1,207.2
1,945 3,826 3,026.6
76 135 106.8
372 269 94 249 2,454 2,458 341.1
6 1 2 7 37 37 5.1
27 20 8 23 177 177 24.6
114 52 32 64 520 521 72.3
225 196 52 155 1,720 1,723 239.1
7,908 3,777 2,571 3,696 32,719 32,772 4,547.9
824 683 370 792 6,711 6,722 932.8
6,537 2,705 1,906 2,586 23,155 23,193 3,218.6
547 389 295 318 2,853 2,857 396.5
265 500 500 250.5
0 3 3 1.5
30 60 60 30.1
44 62 62 31.1
191 375 375 187.8
3,270 6,016 6,029 3,020.1
412 975 977 489.4
2,662 4,656 4,666 2,337.3
196 385 386 193.4
Louisville/Jefferson County, KY-IN M.S.A. Includes Clark, Floyd, Harrison, and Washington Counties, IN and Bullitt, Henry, Jefferson, Meade, Nelson, Oldham, Shelby, Spencer, and Trimble Counties, KY ..................................... City of Louisville Metro, KY........... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,233,503 624,030 94.0% 100.0%
Lubbock, TX M.S.A. Includes Crosby and Lubbock Counties ............................................. City of Lubbock ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
262,990 213,988 100.0%
Lynchburg, VA M.S.A. Includes Amherst, Appomattox, Bedford, and Campbell Counties and Bedford and Lynchburg Cities............................... City of Lynchburg ............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
240,526 67,932 100.0%
Macon, GA M.S.A. Includes Bibb, Crawford, Jones, Monroe, and Twiggs Counties ......... City of Macon.................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
230,317 93,205 99.4% 100.0%
Madera, CA M.S.A. Includes Madera County ................. City of Madera .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
148,765 56,797 100.0%
Madison, WI M.S.A. Includes Columbia, Dane, and Iowa Counties............................ City of Madison................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
550,623 225,370 99.6% 100.0%
Mansfield, OH M.S.A. Includes Richland County ............... City of Mansfield .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
126,412 50,004 100.0%
Includes Hidalgo County ................. City of McAllen ................................ City of Edinburg ............................... City of Mission .................................. City of Pharr...................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
720,595 129,455 69,708 66,216 63,666 99.8% 100.0%
Includes Jackson County ................. City of Medford ................................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
199,631 71,969 99.8% 100.0%
McAllen-EdinburgMission, TX M.S.A.
Medford, OR M.S.A.
SECTION II: OFFENSES REPORTED 71 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Memphis, TN-MSAR M.S.A. Includes Crittenden County, AR; DeSoto, Marshall, Tate, and Tunica Counties, MS; and Fayette, Shelby, and Tipton Counties, TN..... City of Memphis ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,295,670 669,264 93.9% 100.0%
13,055 15,600 15,780 1,217.9
128 150 154 11.9
452 588 610 47.1
4,870 5,376 5,424 418.6
7,605 9,486 9,592 740.3
53,959 71,775 74,370 5,739.9
14,613 19,271 19,933 1,538.4
33,146 44,954 46,694 3,603.8
6,200 7,550 7,743 597.6
611 1,463 587.5
7 17 6.8
28 79 31.7
152 242 97.2
424 1,125 451.8
3,821 9,306 3,737.1
836 2,434 977.4
2,531 5,608 2,252.0
454 1,264 507.6
6,119 1,523 1,310 1,158 1,072 236 500 730 719 43,956 802.0
78 25 10 12 4 5 4 6 3 429 7.8
57 56 63 43 58 16 26 5 22 1,598 29.2
2,537 736 452 574 448 83 144 199 223 16,075 293.3
3,447 706 785 529 562 132 326 520 471 25,854 471.7
21,183 9,712 5,369 7,255 7,805 3,441 2,527 3,578 3,553 256,039 4,671.5
4,829 2,266 1,139 1,594 1,354 675 571 798 753 54,562 995.5
12,478 6,581 3,603 4,748 5,607 2,596 1,707 2,507 2,504 171,808 3,134.7
3,876 865 627 913 844 170 249 273 296 29,669 541.3
10,893 606.8
105 5.8
472 26.3
4,051 225.7
6,265 349.0
68,939 3,840.3
14,183 790.1
47,763 2,660.7
6,993 389.6
23,740 988.4
228 9.5
725 30.2
8,872 369.4
13,915 579.3
131,310 5,466.8
26,713 1,112.1
87,420 3,639.5
17,177 715.1
9,323 726.2
96 7.5
401 31.2
3,152 245.5
5,674 442.0
55,790 4,345.7
13,666 1,064.5
36,625 2,852.8
5,499 428.3
146 31 206 215 194.6
3 0 7 7 6.3
14 5 25 26 23.5
82 15 99 102 92.3
47 11 75 80 72.4
1,928 1,462 4,302 4,437 4,016.7
306 175 736 756 684.4
1,435 1,217 3,244 3,348 3,030.8
187 70 322 333 301.5
343 438 348.6
4 4 3.2
57 68 54.1
76 82 65.3
206 284 226.0
3,666 4,311 3,431.1
833 1,036 824.5
2,625 3,043 2,421.9
208 232 184.6
Merced, CA M.S.A. Includes Merced County.................. City of Merced .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
249,018 78,186 100.0%
Miami-Fort LauderdalePompano Beach, FL M.S.A. Includes the Metropolitan Divisions of Fort LauderdalePompano Beach-Deerfield Beach, Miami-Miami BeachKendall, and West Palm Beach -Boca Raton-Boynton Beach .......... City of Miami .................................... City of Fort Lauderdale ................... City of Pompano Beach ................... City of West Palm Beach ................. City of Miami Beach ........................ City of Boca Raton........................... City of Deerfield Beach ................... City of Boynton Beach..................... City of Delray Beach........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
5,480,920 410,252 187,995 104,989 101,322 86,742 86,868 76,469 69,469 65,262 100.0%
Fort LauderdalePompano BeachDeerfield Beach, FL M.D. Includes Broward County................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,795,143 100.0%
Includes Miami-Dade County......... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,401,971 100.0%
Includes Palm Beach County .......... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,283,806 100.0%
Includes La Porte County ................ City of Michigan City ....................... City of La Porte................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
110,465 32,008 21,178 96.8% 100.0%
Includes Midland County ................ City of Midland ................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
125,645 102,877 100.0%
Miami-Miami BeachKendall, FL M.D.
West Palm BeachBoca RatonBoynton Beach, FL M.D.
Michigan CityLa Porte, IN M.S.A.
Midland, TX M.S.A.
72
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
MilwaukeeWaukeshaWest Allis, WI M.S.A. Includes Milwaukee, Ozaukee, Washington, and Waukesha Counties ............................................. City of Milwaukee ............................ City of Waukesha .............................. City of West Allis .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,516,093 572,938 68,162 58,366 100.0%
8,040 84 220 9,230 608.8
105 0 2 110 7.3
236 12 9 349 23.0
3,529 23 91 3,974 262.1
4,170 49 118 4,797 316.4
38,199 1,405 3,062 60,572 3,995.3
6,203 348 584 9,365 617.7
24,248 990 2,290 42,423 2,798.2
7,748 67 188 8,784 579.4
5,580 2,327
47 14 0 0 0 0 0 88 90 2.8
452 173
2,520 777 51 9 15 13 14 4,302 4,362 136.2
2,561 1,363 61 32 28 28 21 6,014 6,129 191.4
22,543 11,118 3,210 1,359 1,515 1,475 1,014 108,499 112,527 3,513.7
6,164 2,696 356 304 188 190 196 20,226 20,818 650.1
13,203 6,346 2,674 995 1,276 1,254 776 78,577 81,775 2,553.5
3,176 2,076 180 60 51 31 42 9,696 9,934 310.2
218 305 296.4
1 1 1.0
23 36 35.0
36 38 36.9
158 230 223.5
2,935 3,547 3,447.1
255 379 368.3
2,541 2,971 2,887.3
139 197 191.5
1,144 1,764 1,818 448.6
38 61 62 15.3
23 70 74 18.3
750 946 965 238.1
333 687 717 176.9
14,136 19,380 19,939 4,920.1
3,650 5,110 5,228 1,290.0
9,361 12,550 12,952 3,196.0
1,125 1,720 1,759 434.0
1,490 3,207 619.4
11 27 5.2
65 139 26.8
452 826 159.5
962 2,215 427.8
12,030 25,421 4,910.2
2,216 5,971 1,153.3
7,850 14,712 2,841.7
1,964 4,738 915.2
343 747 761 442.2
1 4 4 2.3
20 42 43 25.0
101 155 157 91.2
221 546 557 323.7
5,096 9,657 9,768 5,676.0
1,141 2,490 2,511 1,459.1
3,792 6,796 6,880 3,997.9
163 371 377 219.1
70 293 188.4
0 1 0.6
7 35 22.5
23 63 40.5
40 194 124.7
709 3,270 2,102.6
125 740 475.8
539 2,263 1,455.1
45 267 171.7
1,157 1,427 1,616 443.4
46 49 52 14.3
54 80 94 25.8
652 731 781 214.3
405 567 689 189.0
12,843 16,246 17,984 4,934.0
3,317 4,208 4,685 1,285.4
8,579 10,870 11,982 3,287.3
947 1,168 1,317 361.3
MinneapolisSt. PaulBloomington, MN-WI M.S.A.5 Includes Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Ramsey, Scott, Sherburne, Washington, and Wright Counties, MN5 and Pierce and St. Croix Counties, WI .............. City of Minneapolis, MN.................. City of St. Paul, MN.......................... City of Bloomington, MN5 ............... City of Plymouth, MN5 ..................... City of Eagan, MN5 .......................... City of Eden Prairie, MN5................ City of Minnetonka, MN5 ................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
3,202,517 371,240 271,662 80,218 70,737 63,718 61,910 49,751 96.2% 100.0%
Missoula, MT M.S.A. Includes Missoula County ............... City of Missoula ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
102,898 65,037 100.0%
Includes Mobile County .................. City of Mobile6 .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
405,259 253,842 96.8% 100.0%
Includes Stanislaus County.............. City of Modesto ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
517,721 208,067 100.0%
Mobile, AL M.S.A.
Modesto, CA M.S.A.
Monroe, LA M.S.A. Includes Ouachita and Union Parishes .............................................. City of Monroe.................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
172,092 51,350 98.8% 100.0%
Monroe, MI M.S.A. Includes Monroe County ................. City of Monroe.................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
155,523 21,787 100.0%
Montgomery, AL M.S.A. Includes Autauga, Elmore, Lowndes, and Montgomery Counties ............................................. City of Montgomery ......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ........... 5 The
364,491 202,062 83.0% 100.0%
data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
SECTION II: OFFENSES REPORTED 73 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Morgantown, WV M.S.A. Includes Monongalia and Preston Counties ............................................. City of Morgantown ......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
115,156 28,951 96.0% 100.0%
Includes Grainger, Hamblen, and Jefferson Counties..................... City of Morristown ........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
135,710 27,147 100.0%
99 210 220 191.0
1 3 3 2.6
27 40 41 35.6
29 46 48 41.7
42 121 128 111.2
1,025 2,605 2,748 2,386.3
248 548 572 496.7
745 1,934 2,044 1,775.0
32 123 132 114.6
264 601 442.9
1 5 3.7
23 45 33.2
65 97 71.5
175 454 334.5
1,905 4,946 3,644.5
224 1,130 832.7
1,572 3,504 2,582.0
109 312 229.9
77 17 228 194.0
0 1 2 1.7
12 2 42 35.7
30 1 67 57.0
35 13 117 99.5
2,324 568 6,653 5,659.9
294 95 1,201 1,021.7
1,866 448 4,969 4,227.3
164 25 483 410.9
375 417 364.9
1 1 0.9
50 63 55.1
60 67 58.6
264 286 250.2
2,652 3,575 3,128.0
581 756 661.5
1,932 2,630 2,301.1
139 189 165.4
389 59 880 502.5
0 0 1 0.6
35 7 113 64.5
77 11 165 94.2
277 41 601 343.2
2,252 958 7,730 4,414.1
396 135 1,291 737.2
1,693 790 5,997 3,424.5
163 33 442 252.4
506 57 219 2,344 948.1
2 0 1 12 4.9
49 3 7 140 56.6
222 17 54 480 194.2
233 37 157 1,712 692.5
5,488 1,576 1,412 17,051 6,896.8
1,011 291 310 3,604 1,457.8
3,998 1,264 1,012 11,943 4,830.7
479 21 90 1,504 608.3
288 460 343.8
3 6 4.5
16 29 21.7
58 82 61.3
211 343 256.3
2,351 3,723 2,782.3
463 807 603.1
1,677 2,550 1,905.7
211 366 273.5
49 17 1,363 423.8
0 1 16 5.0
2 1 61 19.0
9 0 242 75.3
38 15 1,044 324.6
858 172 6,093 1,894.7
126 22 1,485 461.8
713 142 4,216 1,311.0
19 8 392 121.9
8,513 691 106 12,193 816.7
73 4 2 102 6.8
290 29 13 553 37.0
2,516 137 18 2,970 198.9
5,634 521 73 8,568 573.9
31,466 4,186 1,024 54,818 3,671.7
6,111 929 125 11,414 764.5
22,729 3,028 849 39,102 2,619.1
2,626 229 50 4,302 288.1
Morristown, TN M.S.A.
Mount VernonAnacortes, WA M.S.A. Includes Skagit County .................... City of Mount Vernon ...................... City of Anacortes.............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
117,546 30,521 16,948 100.0%
Includes Delaware County .............. City of Muncie................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
114,292 64,921 100.0%
Includes Muskegon County............. City of Muskegon ............................. City of Norton Shores ...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
175,119 39,562 23,567 100.0%
Includes Horry County .................... City of Myrtle Beach ........................ City of North Myrtle Beach............. City of Conway ................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
247,229 29,361 15,577 14,285 100.0%
Includes Napa County...................... City of Napa ...................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
133,808 75,266 100.0%
Includes Collier County ................... City of Naples.................................... City of Marco Island......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
321,589 22,109 16,235 100.0%
Muncie, IN M.S.A.
Muskegon-Norton Shores, MI M.S.A.
Myrtle BeachNorth Myrtle BeachConway, SC M.S.A.
Napa, CA M.S.A.
Naples-Marco Island, FL M.S.A.
NashvilleDavidson— Murfreesboro— Franklin, TN M.S.A. Includes Cannon, Cheatham, Davidson, Dickson, Hickman, Macon, Robertson, Rutherford, Smith, Sumner, Trousdale, Williamson, and Wilson Counties ............................................ City of Nashville ............................... City of Murfreesboro ....................... City of Franklin................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,492,983 564,169 96,264 57,489 100.0%
74
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
New OrleansMetairie-Kenner, LA M.S.A. Includes Jefferson, Orleans, Plaquemines, St. Bernard, St. Charles, St. John the Baptist, and St. Tammany Parishes ............... City of New Orleans......................... City of Kenner................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,026,639 220,614 66,473 99.9% 100.0%
3,451 388 7,933 7,938 773.2
209 10 289 289 28.2
115 14 307 307 29.9
1,154 124 2,205 2,206 214.9
1,973 240 5,132 5,136 500.3
15,583 2,760 46,382 46,419 4,521.5
5,039 597 12,409 12,416 1,209.4
7,354 1,859 27,422 27,450 2,673.8
3,190 304 6,551 6,553 638.3
50,453 2,389 225 114 144 40 283 77,792 77,864 414.3
496 104 0 0 0 0 2 839 840 4.5
875 60 0 4 1 0 25 1,855 1,859 9.9
21,787 1,101 86 27 69 18 169 33,784 33,808 179.9
27,295 1,124 139 83 74 22 87 41,314 41,357 220.0
149,488 10,664 2,239 1,108 1,331 1,413 1,883 343,929 344,687 1,833.8
20,914 1,914 437 45 205 185 448 54,835 54,951 292.3
115,318 4,385 1,578 1,025 935 1,175 1,273 253,778 254,385 1,353.4
13,256 4,365 224 38 191 53 162 35,316 35,351 188.1
3,827 166.5
37 1.6
198 8.6
1,480 64.4
2,112 91.9
43,083 1,874.4
7,730 336.3
32,760 1,425.2
2,593 112.8
4,959 4,962 177.7
54 54 1.9
205 205 7.3
2,005 2,006 71.8
2,695 2,697 96.6
45,985 46,022 1,647.9
6,471 6,477 231.9
35,664 35,693 1,278.1
3,850 3,852 137.9
8,129 378.9
177 8.3
282 13.1
3,936 183.5
3,734 174.1
47,300 2,204.9
9,032 421.0
28,349 1,321.5
9,919 462.4
60,877 60,946 527.2
571 572 4.9
1,170 1,174 10.2
26,363 26,386 228.3
32,773 32,814 283.9
207,561 208,282 1,801.8
31,602 31,712 274.3
157,005 157,583 1,363.2
18,954 18,987 164.2
52 137 701 714 444.0
0 0 0 0 0.0
8 6 97 98 60.9
14 28 105 108 67.2
30 103 499 508 315.9
487 285 4,919 5,046 3,137.6
73 135 963 987 613.7
390 126 3,685 3,775 2,347.3
24 24 271 284 176.6
New York-Northern New Jersey-Long Island, NY-NJ-PA M.S.A. Includes the Metropolitan Divisions of Edison, NJ; Nassau-Suffolk County, NY; Newark-Union, NJ-PA; and New York-Wayne-White Plains, NY-NJ................................................. City of New York, NY ...................... City of Newark, NJ ........................... City of Edison Township, NJ ........... City of White Plains, NY .................. City of Union Township, NJ ............ City of Wayne Township, NJ............ City of New Brunswick, NJ.............. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
18,796,306 8,220,196 280,158 99,082 57,638 54,795 54,606 49,950 99.8% 100.0%
EdisonNew Brunswick, NJ M.D. Includes Middlesex, Monmouth, Ocean, and Somerset Counties ....... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,298,551 100.0%
Includes Nassau and Suffolk Counties ............................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
2,792,682 99.9% 100.0%
Nassau-Suffolk, NY M.D.
Newark-Union, NJ-PA M.D. Includes Essex, Hunterdon, Morris, Sussex, and Union Counties, NJ and Pike County, PA......................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,145,195 100.0%
New York-White Plains-Wayne, NY-NJ M.D. Includes Bergen, Hudson, and Passaic Counties, NJ and Bronx, Kings, New York, Putnam, Queens, Richmond, Rockland, and Westchester Counties, NY........ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
11,559,878 99.7% 100.0%
Niles-Benton Harbor, MI M.S.A. Includes Berrien County.................. City of Niles....................................... City of Benton Harbor..................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
160,825 11,491 10,567 97.3% 100.0%
SECTION II: OFFENSES REPORTED 75 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Ocala, FL M.S.A. Includes Marion County .................. City of Ocala ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
322,272 53,490 100.0%
Includes Cape May County ............. City of Ocean City ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
97,291 15,057 100.0%
Includes Ector County ..................... City of Odessa ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
128,400 95,839 100.0%
633 2,163 671.2
6 14 4.3
40 152 47.2
178 275 85.3
409 1,722 534.3
3,444 9,004 2,793.9
747 2,489 772.3
2,503 5,931 1,840.4
194 584 181.2
28 353 362.8
0 1 1.0
3 26 26.7
19 105 107.9
6 221 227.2
1,153 4,854 4,989.2
183 945 971.3
961 3,779 3,884.2
9 130 133.6
529 601 468.1
6 8 6.2
7 17 13.2
92 104 81.0
424 472 367.6
4,302 5,523 4,301.4
870 1,142 889.4
3,144 3,983 3,102.0
288 398 310.0
501 42 955 185.5
3 0 5 1.0
33 11 150 29.1
136 7 211 41.0
329 24 589 114.4
4,914 867 15,371 2,985.9
923 112 2,649 514.6
3,466 710 11,680 2,268.9
525 45 1,042 202.4
4,612 6,151 517.0
58 77 6.5
326 508 42.7
1,397 1,678 141.0
2,831 3,888 326.8
31,949 51,334 4,314.4
8,110 12,770 1,073.3
19,228 32,533 2,734.3
4,611 6,031 506.9
118 502 210.3
0 6 2.5
28 68 28.5
27 88 36.9
63 340 142.5
2,023 7,360 3,083.7
296 1,530 641.0
1,493 5,082 2,129.3
234 748 313.4
2,578 455 3,413 411.5
42 2 47 5.7
189 76 312 37.6
818 78 944 113.8
1,529 299 2,110 254.4
20,657 4,698 32,267 3,890.1
3,345 878 5,401 651.1
13,876 3,288 22,366 2,696.5
3,436 532 4,500 542.5
4,269 576 17,074 845.1
39 4 146 7.2
162 12 813 40.2
1,534 188 5,361 265.4
2,534 372 10,754 532.3
19,181 2,786 88,105 4,360.9
4,164 886 23,561 1,166.2
12,778 1,658 54,653 2,705.1
2,239 242 9,891 489.6
209 56 373 230.8
2 0 2 1.2
10 4 26 16.1
31 1 40 24.7
166 51 305 188.7
2,378 499 4,146 2,565.3
392 92 798 493.8
1,925 389 3,224 1,994.8
61 18 124 76.7
845 146 368 94 2,120 265.0
9 2 1 0 17 2.1
33 19 27 8 140 17.5
453 38 151 22 821 102.6
350 87 189 64 1,142 142.8
4,275 1,942 3,827 1,062 17,291 2,161.7
866 424 746 205 3,436 429.6
2,869 1,407 2,733 794 12,226 1,528.5
540 111 348 63 1,629 203.7
Ocean City, NJ M.S.A.
Odessa, TX M.S.A.
Ogden-Clearfield, UT M.S.A. Includes Davis, Morgan, and Weber Counties ................................ City of Ogden.................................... City of Clearfield .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
514,786 78,160 27,419 100.0%
Oklahoma City, OK M.S.A. Includes Canadian, Cleveland, Grady, Lincoln, Logan, McClain, and Oklahoma Counties .................. City of Oklahoma City..................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,189,823 542,199 100.0%
Olympia, WA M.S.A. Includes Thurston County ............... City of Olympia ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
238,675 44,946 100.0%
Omaha-Council Bluffs, NE-IA M.S.A. Includes Harrison, Mills, and Pottawattamie Counties, IA and Cass, Douglas, Sarpy, Saunders, and Washington Counties, NE ..................................... City of Omaha, NE ........................... City of Council Bluffs, IA ............... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
829,460 431,810 60,531 100.0%
OrlandoKissimmee, FL M.S.A. Includes Lake, Orange, Osceola, and Seminole Counties .................... City of Orlando ................................. City of Kissimmee............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,020,346 224,417 62,880 100.0%
Oshkosh-Neenah, WI M.S.A. Includes Winnebago County ........... City of Oshkosh ................................ City of Neenah .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
161,620 64,183 24,871 100.0%
Includes Ventura County ................. City of Oxnard .................................. City of Thousand Oaks..................... City of Ventura.................................. City of Camarillo .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
799,872 186,367 125,196 104,523 63,238 100.0%
Oxnard-Thousand Oaks-Ventura, CA M.S.A.
76
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Palm BayMelbourneTitusville, FL M.S.A. Includes Brevard County................. City of Palm Bay............................... City of Melbourne ............................ City of Titusville................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
538,226 100,666 77,678 44,467 100.0%
Includes Flagler County................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
88,451 100.0%
Includes Bay County ........................ City of Panama City ......................... City of Lynn Haven .......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
164,360 36,840 16,110 100.0%
617 787 373 3,776 701.6
5 2 5 32 5.9
28 15 33 185 34.4
104 174 90 712 132.3
480 596 245 2,847 529.0
2,808 3,942 1,794 18,637 3,462.7
881 926 475 4,792 890.3
1,726 2,741 1,054 12,483 2,319.3
201 275 265 1,362 253.1
288 325.6
4 4.5
18 20.4
54 61.1
212 239.7
2,432 2,749.5
608 687.4
1,657 1,873.4
167 188.8
366 49 990 602.3
7 0 8 4.9
32 10 106 64.5
90 4 171 104.0
237 35 705 428.9
2,271 460 6,839 4,161.0
399 181 1,569 954.6
1,734 255 4,870 2,963.0
138 24 400 243.4
68 25 16 278 284 176.7
1 0 0 4 4 2.5
11 10 3 44 44 27.4
18 7 3 31 33 20.5
38 8 10 199 203 126.3
1,468 536 291 3,845 3,948 2,457.0
286 117 28 859 877 545.8
1,077 406 257 2,778 2,857 1,778.0
105 13 6 208 214 133.2
122 356 387 252.6
3 12 13 8.5
17 48 52 33.9
97 161 167 109.0
5 135 155 101.2
1,701 5,672 6,090 3,975.8
580 1,685 1,800 1,175.1
932 3,318 3,577 2,335.2
189 669 713 465.5
487 2,900 658.4
3 24 5.4
30 204 46.3
148 699 158.7
306 1,973 448.0
2,880 14,907 3,384.5
608 3,601 817.6
2,149 10,225 2,321.5
123 1,081 245.4
21,180 1,755 1,230 36,450 36,543 627.7
392 42 11 552 552 9.5
956 67 30 1,737 1,742 29.9
10,258 781 593 15,351 15,377 264.1
9,574 865 596 18,810 18,872 324.2
61,795 4,600 3,388 167,511 168,198 2,889.2
11,524 1,128 954 30,624 30,743 528.1
39,167 2,311 1,913 117,087 117,617 2,020.4
11,104 1,161 521 19,800 19,838 340.8
4,349 349.6
61 4.9
230 18.5
1,717 138.0
2,341 188.2
31,689 2,547.1
6,375 512.4
22,186 1,783.3
3,128 251.4
Palm Coast, FL M.S.A.
Panama CityLynn Haven, FL M.S.A.
ParkersburgMarietta-Vienna, WV-OH M.S.A. Includes Washington County, OH and Pleasants, Wirt, and Wood Counties, WV .................................... City of Parkersburg, WV.................. City of Marietta, OH ........................ City of Vienna, WV........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
160,687 31,562 14,128 10,667 97.9% 100.0%
Pascagoula, MS M.S.A. Includes George and Jackson Counties ............................................. City of Pascagoula ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
153,177 23,555 87.5% 100.0%
Includes Escambia and Santa Rosa Counties ................................... City of Pensacola .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
440,445 52,837 100.0%
Pensacola-Ferry Pass-Brent, FL M.S.A.
PhiladelphiaCamdenWilmington, PA-NJ-DE-MD M.S.A. Includes the Metropolitan Divisions of Camden, NJ; Philadelphia, PA; and Wilmington, DE-MD-NJ ................. City of Philadelphia, PA................... City of Camden, NJ .......................... City of Wilmington, DE ................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
5,821,531 1,435,533 78,967 72,842 99.6% 100.0%
Camden, NJ M.D. Includes Burlington, Camden, and Gloucester Counties ................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,244,124 100.0%
SECTION II: OFFENSES REPORTED 77 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Philadelphia, PA M.D. Includes Bucks, Chester, Delaware, Montgomery, and Philadelphia Counties ...................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
3,880,695 99.8% 100.0%
27,502 27,523 709.2
456 456 11.8
1,314 1,315 33.9
12,151 12,157 313.3
13,581 13,595 350.3
112,500 112,690 2,903.9
19,127 19,156 493.6
78,799 78,949 2,034.4
14,574 14,585 375.8
4,599 4,671 670.4
35 35 5.0
193 197 28.3
1,483 1,503 215.7
2,888 2,936 421.4
23,322 23,819 3,418.8
5,122 5,212 748.1
16,102 16,482 2,365.7
2,098 2,125 305.0
11,159 2,224 438 916 20,169 20,468 490.8
213 22 5 10 340 343 8.2
509 175 41 63 1,157 1,178 28.2
4,942 620 143 330 7,388 7,469 179.1
5,495 1,407 249 513 11,284 11,478 275.2
89,825 19,945 8,138 11,424 190,616 194,052 4,653.0
19,212 2,922 1,523 1,866 39,771 40,550 972.3
49,754 14,063 5,863 7,959 115,556 117,752 2,823.5
20,859 2,960 752 1,599 35,289 35,750 857.2
889 1,008 976.4
15 18 17.4
42 55 53.3
265 281 272.2
567 654 633.5
4,422 5,449 5,278.0
1,598 2,006 1,943.0
2,389 2,914 2,822.5
435 529 512.4
3,455 8,247 8,530 362.0
52 98 101 4.3
129 464 481 20.4
1,596 2,696 2,773 117.7
1,678 4,989 5,175 219.6
13,933 48,992 51,511 2,185.9
3,418 10,364 10,745 456.0
8,977 34,767 36,757 1,559.8
1,538 3,861 4,009 170.1
295 502 524 401.1
0 1 1 0.8
43 57 59 45.2
37 50 54 41.3
215 394 410 313.9
1,135 2,670 2,829 2,165.7
448 903 943 721.9
608 1,610 1,716 1,313.6
79 157 170 130.1
132 187 214.4
0 0 0.0
20 23 26.4
9 12 13.8
103 152 174.3
1,706 2,555 2,929.7
259 339 388.7
1,360 2,102 2,410.3
87 114 130.7
231 36 77 698 136.0
1 0 0 6 1.2
25 5 28 155 30.2
103 10 21 200 39.0
102 21 28 337 65.7
3,079 1,010 1,050 12,705 2,475.1
562 114 160 2,621 510.6
2,356 869 845 9,484 1,847.6
161 27 45 600 116.9
Wilmington, DE-MD-NJ M.D. Includes New Castle County, DE; Cecil County, MD; and Salem County, NJ ......................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
696,712 98.4% 100.0%
Phoenix-MesaScottsdale, AZ M.S.A. Includes Maricopa and Pinal Counties ............................................. City of Phoenix ................................. City of Mesa ...................................... City of Scottsdale.............................. City of Tempe .................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
4,170,448 1,541,698 454,576 235,243 171,320 97.9% 100.0%
Includes Cleveland, Jefferson, and Lincoln Counties ....................... City of Pine Bluff ............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
103,240 51,304 100.0%
Pine Bluff, AR M.S.A.
Pittsburgh, PA M.S.A. Includes Allegheny, Armstrong, Beaver, Butler, Fayette, Washington, and Westmoreland Counties ............................................. City of Pittsburgh ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
2,356,481 312,179 94.7% 100.0%
Pittsfield, MA M.S.A. Includes Berkshire County.............. City of Pittsfield ................................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
130,630 43,194 94.0% 100.0%
Pocatello, ID M.S.A. Includes Bannock and Power Counties ............................................. City of Pocatello ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
87,209 54,274 100.0%
Includes Cumberland, Sagadahoc, and York Counties ............................ City of Portland................................. City of South Portland ..................... City of Biddeford.............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
513,311 62,894 23,836 22,079 100.0%
Portland-South Portland-Biddeford, ME M.S.A.
78
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
PortlandVancouverBeaverton, OR-WA M.S.A. Includes Clackamas, Columbia, Multnomah, Washington, and Yamhill Counties, OR and Clark and Skamania Counties, WA ........... City of Portland, OR ........................ City of Vancouver, WA..................... City of Beaverton, OR ..................... City of Hillsboro, OR ....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
2,171,073 538,133 161,092 91,184 90,439 98.7% 100.0%
3,701 646 220 195 6,752 6,799 313.2
22 7 0 0 47 47 2.2
280 118 20 39 845 852 39.2
1,289 166 59 71 2,174 2,183 100.5
2,110 355 141 85 3,686 3,717 171.2
31,586 6,557 2,330 2,844 75,986 76,628 3,529.5
4,840 1,005 337 456 11,751 11,878 547.1
21,978 4,581 1,768 2,081 54,234 54,680 2,518.6
4,768 971 225 307 10,001 10,070 463.8
421 2,169 541.8
2 15 3.7
60 146 36.5
53 483 120.7
306 1,525 381.0
3,595 12,295 3,071.3
1,003 3,199 799.1
2,419 8,338 2,082.9
173 758 189.4
387 436 194 1,934 1,943 287.1
5 2 1 23 23 3.4
15 14 13 119 120 17.7
163 131 95 573 576 85.1
204 289 85 1,219 1,224 180.9
1,063 1,176 942 13,244 13,338 1,970.8
253 316 216 2,208 2,222 328.3
704 791 690 10,436 10,512 1,553.3
106 69 36 600 604 89.2
130 806 807 375.9
1 6 6 2.8
7 39 39 18.2
19 42 42 19.6
103 719 720 335.4
1,387 5,368 5,382 2,506.8
279 1,247 1,250 582.2
1,059 3,783 3,792 1,766.2
49 338 340 158.4
168 67 423 84.9
0 1 2 0.4
28 23 95 19.1
35 15 90 18.1
105 28 236 47.3
3,298 2,835 12,588 2,525.1
487 245 1,859 372.9
2,526 2,455 9,998 2,005.6
285 135 731 146.6
725 739 474.2
6 7 4.5
43 46 29.5
206 207 132.8
470 479 307.3
6,613 8,024 5,148.5
1,499 1,796 1,152.4
4,526 5,583 3,582.2
588 645 413.9
46 633 408.6
0 10 6.5
0 28 18.1
4 73 47.1
42 522 337.0
399 4,772 3,080.5
174 1,149 741.7
213 3,365 2,172.2
12 258 166.5
507 594 300.4
7 7 3.5
27 30 15.2
281 332 167.9
192 225 113.8
3,978 6,303 3,187.2
945 1,317 666.0
2,766 4,595 2,323.6
267 391 197.7
2,098 134 3,359 3,366 325.6
23 1 37 37 3.6
99 11 209 209 20.2
835 58 1,169 1,171 113.3
1,141 64 1,944 1,949 188.5
12,762 2,120 28,482 28,568 2,763.7
2,949 448 7,209 7,230 699.4
8,773 1,584 19,153 19,214 1,858.8
1,040 88 2,120 2,124 205.5
Port St. Lucie, FL M.S.A. Includes Martin and St. Lucie Counties ............................................. City of Port St. Lucie ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
400,314 154,036 100.0%
Includes Dutchess and Orange Counties ............................................. City of Poughkeepsie........................ City of Newburgh ............................. City of Middletown........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
676,768 30,074 28,340 26,097 99.3% 100.0%
PoughkeepsieNewburghMiddletown, NY M.S.A.
Prescott, AZ M.S.A. Includes Yavapai County ................. City of Prescott ................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
214,698 42,674 99.8% 100.0%
Provo-Orem, UT M.S.A. Includes Juab and Utah Counties ............................................. City of Provo .................................... City of Orem ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
498,516 115,264 91,816 100.0%
Pueblo, CO M.S.A. Includes Pueblo County................... City of Pueblo .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
155,852 103,958 100.0%
Includes Charlotte County .............. City of Punta Gorda ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
154,910 17,522 100.0%
Includes Racine County................... City of Racine ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
197,757 79,285 100.0%
Punta Gorda, FL M.S.A.
Racine, WI M.S.A.
Raleigh-Cary, NC M.S.A. Includes Franklin, Johnston, and Wake Counties........................... City of Raleigh ................................. City of Cary ....................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,033,679 367,120 114,221 99.8% 100.0%
SECTION II: OFFENSES REPORTED 79 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Rapid City, SD M.S.A. Includes Meade and Pennington Counties ............................................. City of Rapid City ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
121,126 63,162 100.0%
294 408 336.8
4 4 3.3
69 108 89.2
34 39 32.2
187 257 212.2
2,386 3,171 2,617.9
443 602 497.0
1,819 2,403 1,983.9
124 166 137.0
752 1,247 1,256 310.9
6 14 14 3.5
41 72 73 18.1
385 466 468 115.8
320 695 701 173.5
3,818 9,355 9,431 2,334.2
1,183 1,966 1,978 489.6
1,780 6,093 6,153 1,522.9
855 1,296 1,300 321.8
455 851 470.2
0 11 6.1
84 119 65.8
100 126 69.6
271 595 328.8
2,645 4,211 2,326.8
633 1,110 613.3
1,730 2,629 1,452.6
282 472 260.8
1,513 352 2,112 517.0
17 3 22 5.4
95 36 135 33.0
516 134 666 163.0
885 179 1,289 315.6
9,418 3,603 15,186 3,717.6
1,835 832 3,305 809.1
6,511 2,422 10,208 2,499.0
1,072 349 1,673 409.6
1,837 4,396 4,398 364.8
51 104 104 8.6
53 259 259 21.5
973 2,033 2,034 168.7
760 2,000 2,001 166.0
8,966 34,445 34,463 2,858.2
1,857 6,676 6,679 553.9
5,816 24,604 24,618 2,041.7
1,293 3,165 3,166 262.6
1,893 2,150 854 660 207 232 303 479 245 19,499 473.8
12 45 15 9 5 0 0 3 9 265 6.4
91 74 46 30 12 7 17 36 9 1,029 25.0
686 862 351 264 81 106 114 149 116 6,466 157.1
1,104 1,169 442 357 109 119 172 291 111 11,739 285.2
11,154 10,090 5,850 4,039 2,654 2,500 2,505 3,117 1,929 132,274 3,214.1
2,227 2,129 970 1,281 667 594 589 815 498 33,725 819.5
7,081 5,358 3,551 2,099 1,688 1,568 1,554 1,846 983 74,041 1,799.1
1,846 2,603 1,329 659 299 338 362 456 448 24,508 595.5
901 1,205 408.0
4 8 2.7
55 93 31.5
266 308 104.3
576 796 269.5
5,000 8,223 2,784.0
1,016 1,564 529.5
3,637 6,154 2,083.5
347 505 171.0
76 81 83 45.7
140 187 190 104.6
2,556 3,588 3,697 2,035.7
460 691 707 389.3
1,928 2,672 2,759 1,519.2
168 225 231 127.2
Reading, PA M.S.A. Includes Berks County..................... City of Reading ................................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
404,031 81,168 99.1% 100.0%
Includes Shasta County.................... City of Redding ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
180,982 91,328 100.0%
Redding, CA M.S.A.
Reno-Sparks, NV M.S.A. Includes Storey and Washoe Counties ............................................. City of Reno ...................................... City of Sparks.................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
408,488 214,197 86,884 100.0%
Richmond, VA M.S.A. Includes Amelia, Caroline, Charles City, Chesterfield, Cumberland, Dinwiddie, Goochland, Hanover, Henrico, King and Queen, King William, Louisa, New Kent, Powhatan, Prince George, and Sussex Counties and Colonial Heights, Hopewell, Petersburg, and Richmond Cities ............................... City of Richmond ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,205,749 191,785 99.9% 100.0%
RiversideSan BernardinoOntario, CA M.S.A. Includes Riverside and San Bernardino Counties ........................ City of Riverside .............................. City of San Bernardino .................... City of Ontario.................................. City of Victorville.............................. City of Temecula ............................... City of Chino ..................................... City of Redlands ............................... City of Hemet.................................... City of Colton.................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
4,115,406 299,312 200,810 175,537 104,872 93,665 80,699 71,358 71,825 51,924 100.0%
Roanoke, VA M.S.A. Includes Botetourt, Craig, Franklin, and Roanoke Counties and Roanoke and Salem Cities ....... City of Roanoke................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
295,368 90,894 100.0%
Rochester, MN M.S.A.5 Includes Dodge, Olmsted, and Wabasha Counties5 ........................... City of Rochester5 ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ........... 5 The
181,608 98,287 98.2% 100.0%
2 2 2 1.1
data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
80
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Rochester, NY M.S.A. Includes Livingston, Monroe, Ontario, Orleans, and Wayne Counties ............................................. City of Rochester ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,032,143 206,686 98.4% 100.0%
2,350 3,337 3,367 326.2
50 57 57 5.5
121 243 245 23.7
1,032 1,244 1,254 121.5
1,147 1,793 1,811 175.5
11,277 27,783 28,096 2,722.1
2,582 5,217 5,265 510.1
7,044 20,295 20,546 1,990.6
1,651 2,271 2,285 221.4
662 882 888 599.2
14 21 21 14.2
21 34 34 22.9
266 329 331 223.4
361 498 502 338.7
4,815 6,889 6,955 4,693.2
1,354 2,126 2,142 1,445.4
3,240 4,365 4,412 2,977.2
221 398 401 270.6
264 421 438.7
2 4 4.2
17 23 24.0
68 75 78.2
177 319 332.4
2,398 3,822 3,982.9
489 798 831.6
1,754 2,760 2,876.2
155 264 275.1
5,128 387 98 154 11,214 536.2
44 1 2 1 101 4.8
194 31 8 23 595 28.5
2,009 100 27 62 3,902 186.6
2,881 255 61 68 6,616 316.3
24,399 3,960 1,594 1,807 69,861 3,340.5
5,422 648 329 467 16,218 775.5
12,904 2,905 1,146 1,094 39,431 1,885.4
6,073 407 119 246 14,212 679.6
1,678 2,186 2,194 1,070.5
17 22 22 10.7
66 111 112 54.6
264 361 363 177.1
1,331 1,692 1,697 828.0
2,764 7,234 7,301 3,562.5
1,613 2,943 2,956 1,442.4
825 3,748 3,795 1,851.7
326 543 550 268.4
583 1,161 297.2
3 4 1.0
58 131 33.5
132 225 57.6
390 801 205.0
7,436 14,461 3,701.4
915 2,103 538.3
5,629 10,739 2,748.7
892 1,619 414.4
1,154 2,191 536.9
14 29 7.1
51 123 30.1
378 638 156.3
711 1,401 343.3
6,878 14,427 3,535.5
1,205 3,020 740.1
3,332 8,043 1,971.0
2,341 3,364 824.4
503 932 790.6
2 5 4.2
24 48 40.7
182 251 212.9
295 628 532.7
2,390 4,745 4,024.9
583 1,272 1,079.0
1,704 3,253 2,759.3
103 220 186.6
1,499 4,094 4,098 372.0
17 45 45 4.1
114 527 528 47.9
503 1,073 1,074 97.5
865 2,449 2,451 222.5
15,232 53,108 53,174 4,826.7
2,049 8,558 8,569 777.8
11,196 38,176 38,225 3,469.8
1,987 6,374 6,380 579.1
356 378 357.6
1 1 0.9
46 49 46.4
48 49 46.4
261 279 263.9
4,473 4,855 4,592.9
932 1,016 961.2
3,312 3,590 3,396.2
229 249 235.6
Rocky Mount, NC M.S.A. Includes Edgecombe and Nash Counties ............................................. City of Rocky Mount ....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
148,194 57,132 99.1% 100.0%
Rome, GA M.S.A. Includes Floyd County ..................... City of Rome ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
95,960 36,233 100.0%
Sacramento— Arden-Arcade— Roseville, CA M.S.A. Includes El Dorado, Placer, Sacramento, and Yolo Counties ...... City of Sacramento ........................... City of Roseville ............................... City of Folsom ................................... City of Woodland.............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,091,363 460,546 111,497 68,320 51,355 100.0%
Saginaw-Saginaw Township North, MI M.S.A. Includes Saginaw County ................ City of Saginaw ................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
204,943 56,989 98.9% 100.0%
Salem, OR M.S.A. Includes Marion and Polk Counties ............................................. City of Salem .................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
390,689 154,484 100.0%
Salinas, CA M.S.A. Includes Monterey County.............. City of Salinas ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
408,059 145,251 100.0%
Salisbury, MD M.S.A. Includes Somerset and Wicomico Counties ............................................. City of Salisbury................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
117,891 27,727 100.0%
Includes Salt Lake, Summit, and Tooele Counties ................................ City of Salt Lake City....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
1,101,656 178,449 99.8% 100.0%
Includes Irion and Tom Green Counties ............................................. City of San Angelo .......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
105,706 88,285 100.0%
Salt Lake City, UT M.S.A.
San Angelo, TX M.S.A.
SECTION II: OFFENSES REPORTED 81 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
San Antonio, TX M.S.A. Includes Atascosa, Bandera, Bexar, Comal, Guadalupe, Kendall, Medina, and Wilson Counties ............................................. City of San Antonio.......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,975,770 1,316,882 100.0%
7,327 9,053 458.2
122 140 7.1
635 835 42.3
2,445 2,709 137.1
4,125 5,369 271.7
84,143 105,379 5,333.6
16,750 21,937 1,110.3
60,669 75,572 3,824.9
6,724 7,870 398.3
6,332 318 287 424 13,672 465.7
59 2 2 6 107 3.6
296 13 12 19 705 24.0
2,095 88 101 180 4,388 149.5
3,882 215 172 219 8,472 288.6
44,167 2,448 1,669 2,169 89,820 3,059.5
7,679 528 414 379 16,720 569.5
23,264 1,684 937 842 48,672 1,657.9
13,224 236 318 948 24,428 832.1
225 247 249 320.5
1 1 1 1.3
8 9 9 11.6
47 50 51 65.6
169 187 188 242.0
1,591 2,632 2,663 3,427.5
398 611 617 794.1
1,126 1,924 1,947 2,506.0
67 97 99 127.4
6,414 7,605 606 881 639 306 547 336 63 90 177 280 26,746 643.8
100 120 5 8 5 0 0 1 0 2 0 0 365 8.8
125 299 35 48 24 19 12 22 8 3 12 28 1,049 25.2
3,771 3,470 232 538 431 100 308 86 19 36 73 80 12,915 310.9
2,418 3,716 334 287 179 187 227 227 36 49 92 172 12,417 298.9
34,456 23,664 5,173 4,667 7,116 2,073 3,978 1,689 1,294 2,586 1,567 1,763 155,539 3,743.9
5,079 4,742 1,292 965 1,172 241 791 197 152 506 392 340 28,589 688.1
23,474 8,954 3,108 2,021 4,949 1,610 1,935 1,271 1,009 1,875 936 1,103 91,176 2,194.6
5,903 9,968 773 1,681 995 222 1,252 221 133 205 239 320 35,774 861.1
17,491 707.0
251 10.1
725 29.3
8,245 333.3
8,270 334.3
99,136 4,007.0
19,690 795.8
52,577 2,125.1
26,869 1,086.0
9,255 550.8
114 6.8
324 19.3
4,670 277.9
4,147 246.8
56,403 3,356.5
8,899 529.6
38,599 2,297.0
8,905 529.9
3,759 154 231 238 179 64 53 5,831 327.6
33 2 3 1 1 1 0 51 2.9
217 15 32 8 10 1 7 382 21.5
1,068 62 73 56 60 44 12 1,649 92.6
2,441 75 123 173 108 18 34 3,749 210.6
24,062 2,629 3,430 1,519 2,104 1,440 837 45,549 2,558.8
4,449 372 553 157 291 283 178 8,335 468.2
13,200 1,896 2,420 1,224 1,539 1,085 618 28,270 1,588.1
6,413 361 457 138 274 72 41 8,944 502.4
San DiegoCarlsbadSan Marcos, CA M.S.A. Includes San Diego County............. City of San Diego.............................. City of Carlsbad ................................ City of San Marcos ........................... City of National City ........................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,935,792 1,261,196 95,056 80,050 61,996 100.0%
Includes Erie County ....................... City of Sandusky ............................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
77,695 25,994 98.7% 100.0%
Sandusky, OH M.S.A.
San FranciscoOakland-Fremont, CA M.S.A. Includes the Metropolitan Divisions of Oakland-FremontHayward and San FranciscoSan Mateo-Redwood City ............... City of San Francisco........................ City of Oakland................................. City of Fremont................................. City of Hayward................................ City of Berkeley................................ City of San Mateo............................. City of San Leandro ......................... City of Redwood City ...................... City of Pleasanton............................. City of Walnut Creek........................ City of South San Francisco ............ City of San Rafael............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
4,154,508 733,799 396,541 201,318 140,603 101,343 91,441 77,785 73,435 66,707 63,568 61,458 55,987 100.0%
Oakland-FremontHayward, CA M.D. Includes Alameda and Contra Costa Counties .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,474,091 100.0%
Includes Marin, San Francisco, and San Mateo Counties.................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,680,417 100.0%
Includes San Benito and Santa Clara Counties .................................. City of San Jose................................. City of Sunnyvale.............................. City of Santa Clara ........................... City of Mountain View..................... City of Milpitas ................................. City of Palo Alto ............................... City of Cupertino.............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,780,107 934,553 130,326 109,420 69,999 64,498 57,696 53,002 100.0%
San FranciscoSan Mateo-Redwood City, CA M.D.
San Jose-SunnyvaleSanta Clara, CA M.S.A.
82
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
San Luis ObispoPaso Robles, CA M.S.A. Includes San Luis Obispo County................................................ City of San Luis Obispo ................... City of Paso Robles .......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
256,373 42,781 28,490 100.0%
168 106 894 348.7
3 0 5 2.0
27 12 105 41.0
39 13 92 35.9
99 81 692 269.9
1,846 931 6,269 2,445.3
312 194 1,330 518.8
1,450 659 4,516 1,761.5
84 78 423 165.0
445 604 53 1,644 413.7
2 3 0 10 2.5
44 39 4 155 39.0
96 139 13 311 78.3
303 423 36 1,168 294.0
2,277 2,616 377 8,895 2,238.6
576 513 89 2,013 506.6
1,536 1,622 255 5,994 1,508.5
165 481 33 888 223.5
481 397 1,239 501.8
1 1 6 2.4
28 17 80 32.4
117 110 275 111.4
335 269 878 355.6
2,432 2,276 8,866 3,590.5
410 284 1,602 648.8
1,847 1,770 6,547 2,651.3
175 222 717 290.4
771 226 1,974 425.2
4 1 8 1.7
65 14 153 33.0
136 40 270 58.2
566 171 1,543 332.4
3,732 1,034 9,394 2,023.6
726 180 2,154 464.0
2,634 765 6,308 1,358.8
372 89 932 200.8
1,319 1,780 1,794 553.5
26 28 28 8.6
78 100 101 31.2
743 852 857 264.4
472 800 808 249.3
9,851
2,315 2,868 2,891 892.0
6,369
1,167 1,400 1,411 435.3
227 193 1,469 1,574 287.1
2 3 15 16 2.9
26 19 110 116 21.2
99 110 378 407 74.2
100 61 966 1,035 188.8
2,263 1,683 11,828 12,766 2,328.9
499 373 2,301 2,443 445.7
1,592 1,194 8,786 9,527 1,738.0
172 116 741 796 145.2
3,667 2,059 138 564 525 248 12,686 385.1
24 14 0 7 4 1 101 3.1
90 140 29 61 64 26 1,198 36.4
1,522 647 61 209 174 103 4,347 131.9
2,031 1,258 48 287 283 118 7,040 213.7
33,960 14,957 4,181 8,739 4,873 4,054 146,174 4,436.8
5,986 2,628 583 1,405 1,075 677 28,438 863.2
22,192 8,986 3,152 5,456 2,790 2,701 91,625 2,781.1
5,782 3,343 446 1,878 1,008 676 26,111 792.5
8,578 340.6
76 3.0
866 34.4
3,250 129.1
4,386 174.2
109,992 4,367.6
21,005 834.1
69,792 2,771.3
19,195 762.2
4,108 529.2
25 3.2
332 42.8
1,097 141.3
2,654 341.9
36,182 4,661.3
7,433 957.6
21,833 2,812.7
6,916 891.0
Santa BarbaraSanta Maria-Goleta, CA M.S.A. Includes Santa Barbara County ...... City of Santa Barbara....................... City of Santa Maria .......................... City of Goleta.................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
397,342 85,142 85,782 29,243 100.0%
Includes Santa Cruz County............ City of Santa Cruz ............................ City of Watsonville ........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
246,931 54,626 49,031 100.0%
Includes Sonoma County................. City of Santa Rosa ............................ City of Petaluma ............................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
464,218 154,953 54,624 100.0%
Santa CruzWatsonville, CA M.S.A.
Santa RosaPetaluma, CA M.S.A.
Savannah, GA M.S.A.3 Includes Bryan, Chatham, and Effingham3 Counties ........................ City of Savannah-Chatham Metropolitan ..................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
324,109 208,116 99.2% 100.0%
Scranton— Wilkes-Barre, PA M.S.A. Includes Lackawanna, Luzerne, and Wyoming Counties .................... City of Scranton ................................ City of Wilkes-Barre......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
548,161 72,444 41,050 91.5% 100.0%
Seattle-TacomaBellevue, WA M.S.A.2 Includes the Metropolitan Divisions of Seattle-BellevueEverett and Tacoma.......................... City of Seattle.................................... City of Tacoma2 ................................. City of Bellevue ................................ City of Everett................................... City of Kent ....................................... City of Renton................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
3,294,592 585,118 196,909 118,984 98,845 83,929 59,656 100.0%
Seattle-BellevueEverett, WA M.D. Includes King and Snohomish Counties ............................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,518,369 100.0%
Tacoma, WA M.D.2 Includes Pierce County2 ................... Total area actually reporting ........... Rate per 100,000 inhabitants ........... 2 Because 3 The
776,223 100.0%
of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data. FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table.
SECTION II: OFFENSES REPORTED 83 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Sebastian-Vero Beach, FL M.S.A. Includes Indian River County......... City of Sebastian ............................... City of Vero Beach ........................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
131,526 20,913 16,840 100.0%
Includes Sheboygan County............ City of Sheboygan ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
115,407 48,291 100.0%
Includes Grayson County ................ City of Sherman ................................ City of Denison ................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
119,528 37,985 24,130 100.0%
64 84 464 352.8
0 0 2 1.5
4 6 36 27.4
5 24 101 76.8
55 54 325 247.1
662 707 4,041 3,072.4
198 196 1,046 795.3
443 482 2,753 2,093.1
21 29 242 184.0
91 144 124.8
1 1 0.9
21 28 24.3
29 34 29.5
40 81 70.2
2,471 3,485 3,019.7
430 580 502.6
1,979 2,817 2,440.9
62 88 76.3
146 111 304 254.3
0 2 4 3.3
6 5 20 16.7
19 24 44 36.8
121 80 236 197.4
1,529 1,221 3,804 3,182.5
336 290 975 815.7
1,141 879 2,642 2,210.4
52 52 187 156.4
2,198 1,146 4,326 4,353 1,123.9
36 2 44 44 11.4
112 34 174 176 45.4
544 88 655 659 170.1
1,506 1,022 3,453 3,474 896.9
12,178 2,692 17,532 17,736 4,579.2
2,861 426 3,797 3,835 990.2
8,216 2,068 12,176 12,330 3,183.5
1,101 198 1,559 1,571 405.6
373 429 435 303.1
2 2 2 1.4
40 47 48 33.4
33 36 36 25.1
298 344 349 243.2
2,842 3,348 3,400 2,369.1
578 690 701 488.5
2,110 2,483 2,521 1,756.6
154 175 178 124.0
381 439 445 202.6
2 3 3 1.4
95 103 104 47.4
44 46 46 20.9
240 287 292 133.0
3,780 4,284 4,333 1,972.9
631 789 799 363.8
2,881 3,202 3,238 1,474.3
268 293 296 134.8
805 157 1,242 390.8
7 1 13 4.1
67 17 129 40.6
448 52 548 172.4
283 87 552 173.7
6,872 3,189 13,434 4,227.1
1,945 342 3,108 978.0
4,438 2,691 9,493 2,987.1
489 156 833 262.1
829 2,006 726.5
6 25 9.1
22 96 34.8
219 475 172.0
582 1,410 510.7
3,610 12,684 4,593.8
919 3,262 1,181.4
2,422 8,339 3,020.2
269 1,083 392.2
1,322 1,981 439.4
12 14 3.1
88 119 26.4
414 496 110.0
808 1,352 299.9
11,376 17,167 3,808.1
2,175 3,343 741.6
7,188 11,082 2,458.3
2,013 2,742 608.2
2,068 3,912 3,966 577.1
20 31 31 4.5
91 266 270 39.3
690 927 938 136.5
1,267 2,688 2,727 396.8
7,942 19,987 20,363 2,963.1
2,027 5,229 5,323 774.6
4,694 12,541 12,793 1,861.6
1,221 2,217 2,247 327.0
Sheboygan, WI M.S.A.
Sherman-Denison, TX M.S.A.
Shreveport-Bossier City, LA M.S.A. Includes Bossier, Caddo, and De Soto Parishes............................... City of Shreveport ............................ City of Bossier City .......................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
387,314 199,811 61,993 99.0% 100.0%
Sioux City, IA-NE-SD M.S.A. Includes Woodbury County, IA; Dakota and Dixon Counties, NE; and Union County, SD ..................... City of Sioux City, IA ....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
143,514 82,942 96.9% 100.0%
Sioux Falls, SD M.S.A. Includes Lincoln, McCook, Minnehaha, and Turner Counties ............................................. City of Sioux Falls ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
219,627 144,985 98.1% 100.0%
South BendMishawaka, IN-MI M.S.A. Includes St. Joseph County, IN and Cass County, MI ........................ City of South Bend, IN..................... City of Mishawaka, IN ..................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
317,804 104,437 49,196 100.0%
Spartanburg, SC M.S.A. Includes Spartanburg County ......... City of Spartanburg .......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
276,109 38,388 100.0%
Includes Spokane County................ City of Spokane ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
450,805 198,272 100.0%
Spokane, WA M.S.A.
Springfield, MA M.S.A. Includes Franklin, Hampden, and Hampshire Counties ................. City of Springfield............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
687,220 151,074 97.3% 100.0%
84
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Springfield, MO M.S.A. Includes Christian, Dallas, Greene, Polk, and Webster Counties ............................................. City of Springfield............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
412,378 150,488 100.0%
1,051 1,893 459.0
5 10 2.4
72 100 24.2
294 328 79.5
680 1,455 352.8
14,315 18,907 4,584.9
2,140 3,235 784.5
11,231 14,442 3,502.1
944 1,230 298.3
461 505 505 357.9
5 5 5 3.5
36 52 52 36.9
241 256 256 181.4
179 192 192 136.1
5,407 7,240 7,248 5,136.9
1,403 1,809 1,811 1,283.5
3,627 4,943 4,949 3,507.5
377 488 488 345.9
43 136 142 100.5
0 1 1 0.7
4 20 20 14.2
15 33 35 24.8
24 82 86 60.9
940 2,681 2,739 1,938.0
104 411 420 297.2
824 2,198 2,244 1,587.8
12 72 75 53.1
48 52 28.1
145 213 115.2
2,943 4,751 2,570.1
352 620 335.4
2,466 3,929 2,125.4
125 202 109.3
Springfield, OH M.S.A. Includes Clark County ..................... City of Springfield............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
141,098 62,426 99.8% 100.0%
Includes Centre County ................... City of State College ........................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
141,328 52,047 97.9% 100.0%
State College, PA M.S.A.
St. Cloud, MN M.S.A.5 Includes Benton and Stearns Counties5............................................ City of St. Cloud5 .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
184,856 67,290 100.0%
1 1 0.5
St. George, UT M.S.A. Includes Washington County........... City of St. George ............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
134,726 70,579 100.0%
155 221 164.0
0 1 0.7
13 28 20.8
15 20 14.8
127 172 127.7
2,338 3,536 2,624.6
606 954 708.1
1,583 2,341 1,737.6
149 241 178.9
216 343 350 286.9
2 2 2 1.6
13 22 23 18.9
66 73 74 60.7
135 246 251 205.8
3,857 4,794 4,853 3,978.6
770 1,039 1,048 859.2
2,814 3,427 3,473 2,847.2
273 328 332 272.2
7,654 162 12,925 15,086 536.7
138 1 182 216 7.7
255 21 581 582 20.7
2,761 48 3,879 4,360 155.1
4,500 92 8,283 9,928 353.2
33,901 2,256 85,779 98,410 3,501.0
7,289 309 16,206 18,783 668.2
20,330 1,853 59,296 68,605 2,440.7
6,282 94 10,277 11,022 392.1
4,216 6,054 884.6
29 45 6.6
105 165 24.1
1,615 2,085 304.6
2,467 3,759 549.2
18,677 34,415 5,028.4
4,054 7,486 1,093.8
11,783 21,744 3,177.1
2,840 5,185 757.6
531 1,536 1,457.7
4 9 8.5
9 42 39.9
101 146 138.6
417 1,339 1,270.8
2,568 5,195 4,930.3
683 1,643 1,559.3
1,743 3,104 2,945.8
142 448 425.2
St. Joseph, MO-KS M.S.A. Includes Doniphan County, KS and Andrew, Buchanan, and De Kalb Counties, MO .................... City of St. Joseph, MO...................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
121,979 72,424 98.4% 100.0%
St. Louis, MO-IL M.S.A. Includes Bond, Calhoun, Clinton, Jersey, Macoupin, Madison, Monroe, and St. Clair Counties, IL and Franklin, Jefferson, Lincoln, St. Charles, St. Louis, Warren, and Washington Counties and St. Louis City, MO............................. City of St. Louis, MO........................ City of St. Charles, MO .................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
2,810,914 348,197 63,277 75.4% 100.0%
Stockton, CA M.S.A. Includes San Joaquin County .......... City of Stockton ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
684,406 297,170 100.0%
Includes Sumter County .................. City of Sumter ................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
105,369 38,955 100.0%
Sumter, SC M.S.A.
5 The
data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program (with the exception of Minneapolis and St. Paul, MN) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
SECTION II: OFFENSES REPORTED 85 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Syracuse, NY M.S.A. Includes Madison, Onondaga, and Oswego Counties ...................... City of Syracuse ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
648,191 139,880 100.0%
Includes Gadsden, Jefferson, Leon, and Wakulla Counties ........... City of Tallahassee ............................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
335,945 159,943 97.5% 100.0%
1,435 2,043 315.2
19 26 4.0
67 146 22.5
446 558 86.1
903 1,313 202.6
5,964 15,297 2,360.0
1,785 3,605 556.2
3,618 10,830 1,670.8
561 862 133.0
1,813 2,830 2,885 858.8
5 8 8 2.4
136 203 205 61.0
568 711 730 217.3
1,104 1,908 1,942 578.1
8,396 12,975 13,350 3,973.9
2,588 4,317 4,399 1,309.4
5,202 7,723 7,981 2,375.7
606 935 970 288.7
3,575 3,830 868 564 19,138 703.4
28 26 10 5 143 5.3
80 103 34 35 940 34.6
1,205 1,017 240 128 4,977 182.9
2,262 2,684 584 396 13,078 480.7
16,775 15,189 4,678 2,875 109,910 4,039.9
4,221 3,717 862 567 26,706 981.6
10,390 9,156 3,469 2,105 71,986 2,646.0
2,164 2,316 347 203 11,218 412.3
506 447 1,155 854.2
9 3 15 11.1
27 20 67 49.6
105 64 187 138.3
365 360 886 655.3
2,401 1,548 5,531 4,090.6
507 387 1,292 955.5
1,749 1,043 3,824 2,828.2
145 118 415 306.9
3,639 3,868 3,930 603.5
13 13 14 2.1
151 190 200 30.7
1,225 1,291 1,315 201.9
2,250 2,374 2,401 368.7
19,826 28,554 29,550 4,538.0
5,921 7,285 7,469 1,147.0
12,029 19,037 19,793 3,039.6
1,876 2,232 2,288 351.4
719 935 957 416.8
12 12 12 5.2
47 70 72 31.4
308 324 327 142.4
352 529 546 237.8
7,774 10,402 10,599 4,616.7
1,424 2,024 2,054 894.7
5,646 7,545 7,699 3,353.5
704 833 846 368.5
1,165 89 1,605 438.6
25 1 26 7.1
15 5 44 12.0
595 27 765 209.0
530 56 770 210.4
2,645 685 7,754 2,118.7
852 137 1,707 466.4
1,408 492 5,324 1,454.7
385 56 723 197.6
4,103 5,033 522.6
49 74 7.7
277 383 39.8
1,432 1,717 178.3
2,345 2,859 296.9
4,552 5,890 648.7
55 71 7.8
299 450 49.6
1,023 1,138 125.3
3,175 4,231 466.0
Tallahassee, FL M.S.A.
TampaSt. PetersburgClearwater, FL M.S.A. Includes Hernando, Hillsborough, Pasco, and Pinellas Counties .............................. City of Tampa ................................... City of St. Petersburg ....................... City of Clearwater ............................ City of Largo ..................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,720,592 337,220 248,069 107,501 73,789 100.0%
Texarkana, TXTexarkana, AR M.S.A. Includes Miller County, AR and Bowie County, TX............................. City of Texarkana, TX ..................... City of Texarkana, AR ..................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
135,211 36,237 30,156 100.0%
Includes Fulton, Lucas, Ottawa, and Wood Counties .......................... City of Toledo.................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
651,165 296,403 94.7% 100.0%
Toledo, OH M.S.A.
Topeka, KS M.S.A. Includes Jackson, Jefferson, Osage, Shawnee, and Wabaunsee Counties ........................ City of Topeka................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
229,580 121,885 97.1% 100.0%
Trenton-Ewing, NJ M.S.A. Includes Mercer County .................. City of Trenton .................................. City of Ewing Township ................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
365,977 83,551 36,753 100.0%
Includes Pima County ...................... City of Tucson4 .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
963,028 523,299 100.0%
Tucson, AZ M.S.A.4 4,787 7,869 817.1
6,767 8,921 926.3
Tulsa, OK M.S.A. Includes Creek, Okmulgee, Osage, Pawnee, Rogers, Tulsa, and Wagoner Counties ............................ City of Tulsa....................................... Total area actually reporting ........... Rate per 100,000 inhabitants ........... 4
908,036 381,469 100.0%
24,044 34,626 3,813.3
6,843 9,662 1,064.1
13,522 20,274 2,232.7
It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table.
3,679 4,690 516.5
86
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Tuscaloosa, AL M.S.A. Includes Greene, Hale, and Tuscaloosa Counties ......................... City of Tuscaloosa ............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
199,823 83,811 99.7% 100.0%
557 1,125 1,127 564.0
10 21 21 10.5
32 73 73 36.5
264 412 413 206.7
251 619 620 310.3
5,047 9,824 9,849 4,928.9
1,199 2,488 2,493 1,247.6
3,569 6,648 6,666 3,336.0
279 688 690 345.3
665 1,029 1,036 524.7
2 8 8 4.1
59 106 107 54.2
125 158 160 81.0
479 757 761 385.4
4,430 7,037 7,110 3,600.7
806 1,578 1,593 806.7
3,473 5,088 5,141 2,603.6
151 371 376 190.4
431 40 876 879 296.8
5 1 11 11 3.7
21 7 47 47 15.9
142 8 180 181 61.1
263 24 638 640 216.1
2,880 531 7,230 7,268 2,454.4
752 119 1,740 1,746 589.6
1,966 383 5,205 5,235 1,767.8
162 29 285 287 96.9
276 535 582 461.1
1 2 2 1.6
33 50 52 41.2
111 138 155 122.8
131 345 373 295.5
2,841 4,684 5,085 4,028.3
657 1,141 1,217 964.1
2,013 3,269 3,557 2,817.8
171 274 311 246.4
1,089 632 2,482 604.4
15 7 31 7.5
26 36 121 29.5
361 221 777 189.2
687 368 1,553 378.2
6,063 4,352 15,268 3,718.3
1,455 696 3,190 776.9
3,154 2,988 9,307 2,266.6
1,454 668 2,771 674.8
346 446 448 391.6
1 4 4 3.5
37 45 45 39.3
72 81 82 71.7
236 316 317 277.1
3,030 4,148 4,174 3,648.9
670 985 990 865.5
2,236 2,965 2,984 2,608.6
124 198 200 174.8
334 255 379 1,062 689.0
5 4 1 11 7.1
13 15 7 36 23.4
147 102 171 434 281.6
169 134 200 581 376.9
2,576 1,448 1,243 6,136 3,980.9
589 343 376 1,566 1,016.0
1,896 1,057 795 4,272 2,771.6
91 48 72 298 193.3
1,089 1,924 1,229 522 804 7,289 439.9
16 48 28 6 17 135 8.1
88 97 91 52 36 513 31.0
555 910 513 251 326 3,061 184.7
430 869 597 213 425 3,580 216.1
13,030 11,518 7,386 4,923 5,049 57,145 3,448.9
2,159 1,694 1,584 764 1,101 9,925 599.0
10,285 8,797 5,132 3,658 3,646 43,232 2,609.2
586 1,027 670 501 302 3,988 240.7
Tyler, TX M.S.A. Includes Smith County..................... City of Tyler ....................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
197,461 95,596 99.0% 100.0%
Utica-Rome, NY M.S.A. Includes Herkimer and Oneida Counties ............................... City of Utica ..................................... City of Rome ..................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
296,125 58,888 34,123 99.3% 100.0%
Includes Brooks, Echols, Lanier, and Lowndes Counties..................... City of Valdosta................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
126,232 45,712 93.3% 100.0%
Valdosta, GA M.S.A.
Vallejo-Fairfield, CA M.S.A. Includes Solano County ................... City of Vallejo ................................... City of Fairfield ................................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
410,623 116,763 106,098 100.0%
Victoria, TX M.S.A. Includes Calhoun, Goliad, and Victoria Counties.............................. City of Victoria.................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
114,391 62,404 99.4% 100.0%
Vineland-MillvilleBridgeton, NJ M.S.A. Includes Cumberland County ......... City of Vineland ............................... City of Millville ................................. City of Bridgeton .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
154,137 58,013 28,069 24,281 100.0%
Virginia BeachNorfolk-Newport News, VA-NC M.S.A. Includes Currituck County, NC and Gloucester, Isle of Wight, James City, Mathews, Surry, and York Counties and Chesapeake, Hampton, Newport News, Norfolk, Poquoson, Portsmouth, Suffolk, Virginia Beach, and Williamsburg Cities, VA ................... City of Virginia Beach, VA .............. City of Norfolk, VA .......................... City of Newport News, VA .............. City of Hampton, VA ....................... City of Portsmouth, VA.................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,656,896 435,943 227,903 177,550 144,490 101,284 100.0%
SECTION II: OFFENSES REPORTED 87 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Visalia-Porterville, CA M.S.A. Includes Tulare County .................... City of Visalia ................................... City of Porterville ............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
424,464 116,766 46,621 100.0%
Includes McLennan County ............ City of Waco ...................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
227,882 122,514 100.0%
Includes Houston County................ City of Warner Robins ..................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
130,014 59,780 100.0%
667 289 2,196 517.4
12 7 38 9.0
38 14 128 30.2
155 72 465 109.5
462 196 1,565 368.7
5,204 2,349 16,107 3,794.7
1,109 538 3,612 851.0
3,338 1,491 9,808 2,310.7
757 320 2,687 633.0
1,139 1,545 678.0
6 9 3.9
95 163 71.5
275 317 139.1
763 1,056 463.4
8,029 11,584 5,083.3
1,987 2,769 1,215.1
5,611 8,204 3,600.1
431 611 268.1
324 513 394.6
3 3 2.3
16 28 21.5
118 139 106.9
187 343 263.8
3,289 4,880 3,753.4
922 1,255 965.3
2,222 3,348 2,575.1
145 277 213.1
7,924 370 418 23,746 444.0
181 7 5 412 7.7
192 18 20 1,024 19.1
3,985 162 104 11,010 205.8
3,566 183 289 11,300 211.3
27,719 3,280 1,806 153,737 2,874.3
3,920 364 275 21,277 397.8
16,476 2,557 1,417 106,084 1,983.4
7,323 359 114 26,376 493.1
3,014 260.2
27 2.3
168 14.5
1,323 114.2
1,496 129.2
28,371 2,449.5
4,345 375.1
21,145 1,825.6
2,881 248.7
20,732 494.7
385 9.2
856 20.4
9,687 231.2
9,804 234.0
125,366 2,991.7
16,932 404.1
84,939 2,027.0
23,495 560.7
433 102 688 424.9
4 1 5 3.1
53 16 87 53.7
74 9 86 53.1
302 76 510 315.0
3,188 821 4,807 2,968.8
952 116 1,286 794.2
2,072 666 3,278 2,024.5
164 39 243 150.1
111 251 191.2
1 3 2.3
16 18 13.7
31 35 26.7
63 195 148.6
1,113 2,332 1,776.6
249 494 376.3
799 1,737 1,323.3
65 101 76.9
Waco, TX M.S.A.
Warner Robins, GA M.S.A.
WashingtonArlingtonAlexandria, DC-VA-MD-WV M.S.A. Includes the Metropolitan Divisions of Bethesda-FrederickGaithersburg, MD and Washington-ArlingtonAlexandria, DC-VA-MD-WV......... City of Washington, DC .................. City of Alexandria, VA..................... City of Frederick, MD ...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
5,348,654 588,292 137,812 59,731 100.0%
Bethesda-FrederickGaithersburg, MD M.D. Includes Frederick and Montgomery Counties ..................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
1,158,220 100.0%
WashingtonArlingtonAlexandria, DC-VA-MD-WV M.D. Includes District of Columbia; Calvert, Charles, and Prince George’s Counties, MD; Arlington, Clarke, Fairfax, Fauquier, Loudoun, Prince William, Spotsylvania, Stafford, and Warren Counties and Alexandria, Fairfax, Falls Church, Fredericksburg, Manassas, and Manassas Park Cities, VA; and Jefferson County, WV....................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
4,190,434 100.0%
Waterloo-Cedar Falls, IA M.S.A. Includes Black Hawk, Bremer, and Grundy Counties ....................... City of Waterloo ............................... City of Cedar Falls ............................ Total area actually reporting ........... Rate per 100,000 inhabitants ...........
161,918 65,607 36,995 100.0%
Wausau, WI M.S.A. Includes Marathon County.............. City of Wausau .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
131,265 38,405 100.0%
88
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
WeirtonSteubenville, WV-OH M.S.A. Includes Jefferson County, OH and Brooke and Hancock Counties, WV .................................... City of Weirton, WV ......................... City of Steubenville, OH.................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
123,812 19,095 19,107 96.7% 100.0%
23 79 213 220 177.7
0 1 4 4 3.2
0 5 14 14 11.3
4 40 45 47 38.0
19 33 150 155 125.2
215 929 1,965 2,089 1,687.2
43 167 381 403 325.5
161 718 1,467 1,562 1,261.6
11 44 117 124 100.2
92 209 193.7
0 3 2.8
17 41 38.0
20 34 31.5
55 131 121.4
1,549 3,683 3,413.4
219 603 558.9
1,243 2,897 2,685.0
87 183 169.6
134 219 252 172.6
1 2 2 1.4
15 31 36 24.7
35 42 55 37.7
83 144 159 108.9
981 2,129 2,655 1,818.6
216 507 603 413.0
693 1,471 1,871 1,281.6
72 151 181 124.0
3,386 4,025 4,035 678.2
41 43 43 7.2
269 346 347 58.3
557 594 595 100.0
2,519 3,042 3,050 512.6
20,756 27,571 27,662 4,649.3
4,357 5,694 5,708 959.4
14,263 19,366 19,437 3,266.9
2,136 2,511 2,517 423.0
576 641 443.1
4 6 4.1
31 38 26.3
228 231 159.7
313 366 253.0
6,835 7,646 5,285.9
1,540 1,847 1,276.9
4,797 5,244 3,625.4
498 555 383.7
98 166 141.8
1 3 2.6
10 25 21.4
58 64 54.7
29 74 63.2
1,316 2,634 2,250.6
262 597 510.1
970 1,896 1,620.0
84 141 120.5
821 1,403 1,428 423.7
10 19 19 5.6
58 151 153 45.4
345 457 464 137.7
408 776 792 235.0
5,893
1,637 4,290 4,361 1,294.0
3,613 8,915 9,122 2,706.7
643
106 251 207.5
1 1 0.8
10 53 43.8
35 48 39.7
60 149 123.1
1,235 3,139 2,594.4
169 578 477.7
993 2,314 1,912.5
73 247 204.1
1,531 2,953 2,995 379.1
6 18 18 2.3
93 214 217 27.5
371 534 542 68.6
1,061 2,187 2,218 280.8
6,025 15,148 15,445 1,955.1
1,308 3,735 3,809 482.1
3,815 9,850 10,049 1,272.0
902 1,563 1,587 200.9
Wenatchee, WA M.S.A. Includes Chelan and Douglas Counties ............................................. City of Wenatchee............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
107,897 30,179 100.0%
Wheeling, WV-OH M.S.A. Includes Belmont County, OH and Marshall and Ohio Counties, WV .................................... City of Wheeling, WV....................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
145,995 29,057 87.6% 100.0%
Wichita, KS M.S.A. Includes Butler, Harvey, Sedgwick, and Sumner Counties ............................................. City of Wichita .................................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
594,974 358,294 99.5% 100.0%
Wichita Falls, TX M.S.A. Includes Archer, Clay, and Wichita Counties............................... City of Wichita Falls.......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
144,648 98,717 100.0%
Williamsport, PA M.S.A. Includes Lycoming County.............. City of Williamsport ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
117,037 29,701 100.0%
Wilmington, NC M.S.A.3 Includes Brunswick, New Hanover, and Pender3 Counties...... City of Wilmington ........................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
337,011 96,913 98.3% 100.0%
Winchester, VA-WV M.S.A. Includes Frederick County and Winchester City, VA and Hampshire County, WV ................... City of Winchester, VA..................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
120,991 25,443 100.0%
Worcester, MA M.S.A. Includes Worcester County ............. City of Worcester .............................. Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ........... 3 The
790,004 175,825 98.1% 100.0%
FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table.
SECTION II: OFFENSES REPORTED 89 Table 6. Crime, by Metropolitan Statistical Area, 2007 (Contd.) (Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Yakima, WA M.S.A. Includes Yakima County.................. City of Yakima .................................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
234,592 82,951 100.0%
Includes York County ...................... City of York ....................................... City of Hanover ................................ Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
420,251 40,339 15,079 99.5% 100.0%
561 899 383.2
7 15 6.4
66 135 57.5
136 214 91.2
352 535 228.1
5,705 12,676 5,403.4
1,209 3,095 1,319.3
3,652 7,696 3,280.6
844 1,885 803.5
440 30 1,193 1,197 284.8
11 0 16 16 3.8
33 3 101 101 24.0
293 10 455 456 108.5
103 17 621 624 148.5
2,125 614 9,729 9,775 2,326.0
499 85 1,623 1,630 387.9
1,338 511 7,412 7,448 1,772.3
288 18 694 697 165.9
245 765 466.4
2 2 1.2
24 57 34.8
54 129 78.7
165 577 351.8
1,913 4,926 3,003.5
322 1,383 843.3
1,361 2,901 1,768.8
230 642 391.4
601 748 830 432.1
6 12 13 6.8
32 46 52 27.1
75 100 122 63.5
488 590 643 334.7
3,913 5,560 6,508 3,387.9
888 1,239 1,454 756.9
2,393 3,451 4,057 2,111.9
632 870 997 519.0
179 53.2
13 3.9
3 0.9
71 21.1
92 27.3
1,991 591.6
882 262.1
997 296.3
112 33.3
171 212.3
17 21.1
0 0.0
73 90.6
81 100.6
1,021 1,267.6
421 522.7
532 660.5
68 84.4
121 143.6
13 15.4
2 2.4
47 55.8
59 70.0
375 445.1
250 296.7
93 110.4
32 38.0
209 187.9
14 12.6
3 2.7
99 89.0
93 83.6
2,407 2,164.2
677 608.7
1,620 1,456.6
110 98.9
706 268.1
72 27.3
24 9.1
306 116.2
304 115.4
3,395 1,289.1
899 341.4
2,239 850.2
257 97.6
87 59.6
7 4.8
3 2.1
33 22.6
44 30.2
898 615.5
438 300.2
414 283.7
46 31.5
York-Hanover, PA M.S.A.
Yuba City, CA M.S.A. Includes Sutter and Yuba Counties ............................................. City of Yuba City .............................. Total area actually reporting ........... Rate per 100,000 inhabitants ...........
164,006 61,881 100.0%
Yuma, AZ M.S.A. Includes Yuma County..................... City of Yuma ..................................... Total area actually reporting ........... Estimated total.................................. Rate per 100,000 inhabitants ...........
192,098 88,874 87.6% 100.0%
Aguadilla-IsabelaSan Sebastian, Puerto Rico M.S.A. Includes Aguada, Aguadilla, Anasco, Isabela, Lares, Moca, Rincon, and San Sebastian Municipios ......................................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
336,526 100.0%
Fajardo, Puerto Rico M.S.A. Includes Ceiba, Fajardo, and Luquillo Municipios ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
80,545 100.0%
Includes Arroyo, Guayama, and Patillas Municipios .................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
84,260 100.0%
Includes Hormigueros and Mayaguez Municipios ...................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
111,219 100.0%
Includes Juana Diaz, Ponce, and Villalba Municipios ................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
263,352 100.0%
Guayama, Puerto Rico M.S.A.
Mayaguez, Puerto Rico M.S.A.
Ponce, Puerto Rico M.S.A.
San German-Cabo Rojo, Puerto Rico M.S.A. Includes Cabo Rojo, Lajas, Sabana Grande, and San German Municipios.......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
145,904 100.0%
90
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 6.
Crime, by Metropolitan Statistical Area, 2007 (Contd.)
(Number, percent, rate per 100,000 population.)
Metropolitan statistical area
Counties/principal cities
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
San Juan-CaguasGuaynabo, Puerto Rico M.S.A. Includes Aguas Buenas, Aibonito, Arecibo, Barceloneta, Barranquitas, Bayamon, Caguas, Camuy, Canovanas, Carolina, Catano, Cayey, Ciales, Cidra, Comerio, Corozal, Dorado, Florida, Guaynabo, Gurabo, Hatillo, Humacao, Juncos, Las Piedras, Loiza, Manati, Maunabo, Morovis, Naguabo, Naranjito, Orocovis, Quebradillas, Rio Grande, San Juan, San Lorenzo, Toa Alta, Toa Baja, Trujillo Alto, Vega Alta, Vega Baja, and Yabucoa Municipios ......................... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
2,599,997 100.0%
6,929 266.5
553 21.3
53 2.0
4,294 165.2
2,029 78.0
39,737 1,528.3
11,822 454.7
20,974 806.7
6,941 267.0
195 157.2
20 16.1
6 4.8
78 62.9
91 73.4
1,040 838.4
355 286.2
616 496.6
69 55.6
Yauco, Puerto Rico M.S.A. Includes Guanica, Guayanilla, Penuelas, and Yauco Municipios..... Total area actually reporting ........... Rate per 100,000 inhabitants ...........
124,051 100.0%
SECTION II: OFFENSES REPORTED 91 Table 7.
Offense Analysis, 2003–2007
(Number.) Classification Murder Forcible rape Robbery: Robbery by location:
Burglary: Burglary by location:
Larceny-theft (except motor vehicle theft): Larceny-theft by type:
Larceny-theft by value:
2003
Total2 ................................................................ Street/highway ................................................ Commercial house.......................................... Gas or service station..................................... Convenience store.......................................... Residence ........................................................ Bank................................................................. Miscellaneous ................................................. Total2 ................................................................ Residence (dwelling): .................................... Residence Night ............................................. Residence Day................................................ Residence Unknown...................................... Nonresidence (store, office, etc.): ................. Nonresidence Night ....................................... Nonresidence Day.......................................... Nonresidence Unknown................................ Total2 ................................................................ Pocket-picking ................................................ Purse-snatching............................................... Shoplifting ....................................................... From motor vehicles (except accessories)... Motor vehicle accessories.............................. Bicycles ............................................................ From buildings ................................................ From coin-operated machines ...................... All others......................................................... Over $200 ........................................................ $50 to $200....................................................... Under $50........................................................
Motor vehicle theft 1 The
2006 crime figures have been adjusted. of rounding, the number of offenses may not add to the total.
2 Because
2004
2005
20061
2007
16,528 93,883 414,235 179,657 60,615 11,385 25,826 56,755 9,523 70,474 2,154,834 1,418,423 409,188 668,759 340,477 736,411 310,187 221,240 204,984
16,148 95,089 401,470 171,812 59,006 10,893 24,653 55,525 9,775 69,806 2,144,446 1,409,253 405,556 666,345 337,351 735,193 307,702 223,012 204,479
16,740 94,347 417,438 184,188 59,694 11,889 23,822 59,207 8,766 69,871 2,155,448 1,417,440 402,881 669,579 344,980 738,008 305,729 221,183 211,096
17,030 92,757 447,403 199,241 61,014 12,075 24,921 64,024 9,591 76,537 2,183,746 1,445,557 411,558 705,175 328,824 738,189 307,076 234,458 196,655
16,929 90,427 445,125 194,772 62,026 11,766 24,933 67,508 9,252 74,868 2,179,140 1,478,901 421,855 738,654 318,392 700,239 293,469 227,092 179,679
7,026,802 31,966 42,181 1,013,265 1,857,619 781,279 271,801 868,621 52,373 2,107,696 2,761,752 1,586,672 2,678,377 1,261,226
6,937,089 29,840 42,345 1,009,214 1,758,241 749,173 249,813 861,197 45,927 2,191,338 2,711,560 1,562,672 2,662,857 1,237,851
6,783,447 29,221 42,040 940,411 1,752,280 693,225 248,792 852,462 40,885 2,184,131 2,715,997 1,522,810 2,544,640 1,235,859
6,607,013 28,770 39,997 872,635 1,752,432 638,678 231,238 829,756 35,264 2,178,243 2,805,338 1,474,693 2,326,982 1,192,809
6,568,572 27,408 38,058 978,978 1,706,979 599,063 224,345 789,123 31,036 2,173,581 2,884,126 1,471,078 2,213,368 1,095,769
92
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007
(Number.)
State
ALABAMA
1 The
City
Abbeville .................................. Adamsville ............................... Addison .................................... Alabaster .................................. Alexander City ........................ Aliceville .................................. Andalusia ................................. Anniston ................................... Arab .......................................... Ardmore ................................... Ariton ....................................... Ashford..................................... Ashland .................................... Ashville..................................... Atmore ..................................... Auburn...................................... Autaugaville ............................. Bay Minette.............................. Bayou La Batre ....................... Bear Creek ............................... Berry ......................................... Bessemer .................................. Birmingham ............................. Blountsville .............................. Boaz .......................................... Brantley .................................... Brent ......................................... Brewton .................................... Bridgeport ................................ Brighton.................................... Brilliant..................................... Brundidge................................. Butler ........................................ Carbon Hill .............................. Carrollton ................................. Cedar Bluff............................... Centre ....................................... Centreville................................ Chatom ..................................... Cherokee .................................. Chickasaw................................. Childersburg ............................ Citronelle.................................. Clanton ..................................... Clayton ..................................... Clio............................................ Coffeeville ................................ Collinsville................................ Columbiana.............................. Coosada .................................... Cottonwood ............................. Courtland ................................. Creola ....................................... Crossville .................................. Cullman .................................... Dadeville .................................. Daleville ................................... Daphne ..................................... Dauphin Island ........................ Decatur ..................................... Demopolis ................................ Dora .......................................... Dothan...................................... Double Springs ........................ Douglas..................................... Dozier ....................................... East Brewton ........................... Eclectic ..................................... Elba ........................................... Elberta ...................................... Enterprise................................. Eutaw........................................ Evergreen ................................. Excel .........................................
Population
2,955 4,771 720 28,904 15,053 2,457 8,727 23,736 7,694 1,145 747 1,967 1,856 2,503 7,452 53,160 885 7,674 2,761 1,016 1,212 28,217 227,686 1,969 8,175 906 4,328 5,304 2,698 3,358 732 2,305 1,747 2,048 953 1,580 3,411 2,511 1,172 1,177 6,000 4,978 3,716 8,602 1,383 2,209 354 1,693 3,809 1,590 1,172 760 2,084 1,463 14,914 3,239 4,503 19,352 1,568 56,019 7,523 2,441 64,931 989 581 392 2,512 1,148 4,136 591 24,035 3,001 3,446 605
Violent crime
8 53 4 33 131 3 40 541 34 0 0 2 3 4 83 176 2 54 25 6 0 502 3,320 3 22 1 3 103 2 0 3 21 1 7 1 6 3 11 5 1 29 41 31 57 12 0 2 1 19 2 2 0 6 0 23 60 12 25 0 251 93 6 418 4 9 0 3 1 19 7 98 27 14 1
Murder and nonnegligent manslaughter 0 0 0 1 2 0 0 9 0 0 0 0 0 0 0 2 0 1 0 0 0 10 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 1 0 0 0 0 0 0 1 0 0 0
Forcible rape
1 1 0 0 14 1 3 20 1 0 0 0 0 0 5 25 0 3 1 0 0 34 229 1 3 0 0 2 0 0 0 1 0 1 0 0 1 0 0 0 2 0 4 3 0 0 0 0 1 0 0 0 0 0 3 2 3 3 0 28 11 2 46 0 0 0 0 0 1 0 11 1 0 0
Robbery
1 20 0 18 24 1 7 188 1 0 0 0 0 2 19 44 0 9 4 0 0 195 1,609 0 5 0 2 12 1 0 0 4 0 1 1 0 1 0 0 0 10 11 2 11 0 0 0 0 1 0 0 0 1 0 6 9 4 8 0 105 17 1 190 0 1 0 1 0 5 2 41 9 3 0
Aggravated assault
6 32 4 14 91 1 30 324 32 0 0 2 3 2 59 105 2 41 20 6 0 263 1,396 2 14 1 1 89 1 0 3 16 1 5 0 6 1 11 5 1 17 30 23 42 12 0 2 1 17 2 2 0 5 0 14 49 5 14 0 118 65 3 174 3 8 0 2 1 13 5 45 17 11 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
105 416 23 659 1,016 43 381 2,912 579 41 1 34 26 54 568 2,559 27 376 325 24 4 3,534 19,638 49 554 47 71 254 121 1 40 97 17 153 20 104 166 40 18 12 348 465 212 359 39 3 1 41 129 23 17 10 75 2 899 247 74 583 9 3,624 492 103 3,345 13 88 0 55 17 131 78 433 156 125 17
Burglary
16 45 1 68 182 11 63 942 105 9 0 10 2 9 131 630 12 73 70 2 0 903 4,864 18 83 10 17 43 27 0 14 13 10 28 5 39 19 8 1 6 83 71 49 68 8 0 0 4 22 2 4 3 9 1 143 56 32 139 5 830 84 17 790 2 34 0 7 2 46 16 213 46 19 2
Larcenytheft
83 351 21 545 784 25 300 1,723 445 27 1 21 21 40 420 1,838 13 281 229 19 3 2,373 12,528 29 450 37 52 205 77 1 25 80 7 107 15 59 139 28 17 6 242 383 142 282 31 1 1 33 106 21 10 3 62 0 704 179 39 419 3 2,584 395 74 2,369 10 44 0 43 10 82 54 184 109 104 14
Motor vehicle theft
6 20 1 46 50 7 18 247 29 5 0 3 3 5 17 91 2 22 26 3 1 258 2,246 2 21 0 2 6 17 0 1 4 0 18 0 6 8 4 0 0 23 11 21 9 0 2 0 4 1 0 3 4 4 1 52 12 3 25 1 210 13 12 186 1 10 0 5 5 3 8 36 1 2 1
Arson1
221
0 0
0
SECTION II: OFFENSES REPORTED 93 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Fairfield..................................... Fairhope.................................... Falkville .................................... Fayette ...................................... Flomaton .................................. Florala....................................... Florence.................................... Foley.......................................... Fort Payne ................................ Fyffe .......................................... Gadsden.................................... Gardendale .............................. Geneva...................................... Georgiana................................. Geraldine.................................. Glencoe..................................... Goodwater ............................... Gordo........................................ Grant......................................... Graysville ................................. Greensboro .............................. Greenville................................. Guin .......................................... Gulf Shores .............................. Gurley ....................................... Hackleburg............................... Haleyville ................................. Hamilton................................... Hammondville ......................... Hanceville................................. Hartford.................................... Hartselle ................................... Hayneville ................................ Headland .................................. Helena....................................... Henagar .................................... Hobson City ............................. Hokes Bluff .............................. Hollywood................................ Hoover...................................... Hueytown ................................. Huntsville ................................. Ider............................................ Irondale .................................... Jasper ........................................ Killen ........................................ Kimberly................................... Lafayette................................... Lake View................................. Leeds......................................... Leesburg ................................... Leighton ................................... Level Plains .............................. Lexington ................................. Linden....................................... Lineville.................................... Lipscomb .................................. Littleville .................................. Livingston................................. Louisville .................................. Loxley ....................................... Maplesville ............................... Marion ...................................... McIntosh................................... McKenzie ................................. Midfield .................................... Midland City ............................ Millry......................................... Mobile2 ..................................... Monroeville.............................. Montgomery............................. Moody....................................... Morris ....................................... Moundville ............................... 1 The 2 The
Population
11,443 16,735 1,185 4,694 1,541 1,904 36,784 13,463 13,889 1,045 37,066 13,235 4,415 1,593 837 5,311 1,542 1,589 692 2,399 2,579 7,067 2,223 9,486 850 1,472 4,178 6,478 545 3,261 2,401 13,650 1,112 3,864 14,429 2,560 867 4,363 931 69,527 15,816 169,391 715 9,471 14,117 1,123 2,592 3,054 1,982 11,169 839 834 1,516 832 2,326 2,370 2,265 947 2,961 569 1,587 686 3,373 237 612 5,196 1,839 601 253,842 6,538 202,062 12,402 1,910 2,399
Violent crime
209 12 2 11 4 19 117 113 44 0 174 20 17 13 2 9 3 4 0 0 38 41 3 86 2 1 46 15 0 10 9 12 10 25 15 7 0 11 0 121 40 1,379 0 51 76 6 0 43 2 67 3 8 13 0 4 46 0 1 10 1 10 5 35 5 0 41 15 1 1,144 78 1,157 5 0 10
Murder and nonnegligent manslaughter 4 0 0 0 1 0 0 3 1 0 2 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 21 0 3 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 38 1 46 0 0 0
Forcible rape
12 2 1 2 0 1 8 6 3 0 15 0 1 1 0 1 0 1 0 0 1 1 0 8 1 0 2 5 0 1 0 4 0 1 1 1 0 0 0 18 3 96 0 1 7 0 0 1 1 2 0 0 0 0 0 1 0 0 2 0 2 0 1 0 0 1 1 0 23 0 54 0 0 0
Robbery
84 6 0 4 0 2 47 35 3 0 102 9 4 2 0 2 0 1 0 0 7 7 1 57 0 0 2 2 0 0 2 1 1 8 0 4 0 2 0 71 14 586 0 24 33 0 0 1 1 35 0 1 0 0 2 1 0 0 3 0 2 1 1 0 0 20 5 0 750 15 652 5 0 1
Aggravated assault
109 4 1 5 3 16 62 69 37 0 55 10 12 10 2 6 3 2 0 0 29 32 2 20 1 1 42 8 0 9 7 7 9 16 14 2 0 9 0 32 22 676 0 23 35 6 0 41 0 29 3 7 13 0 2 44 0 1 4 1 5 4 33 5 0 20 9 1 333 62 405 0 0 9
Property crime
1,212 344 15 211 32 77 1,775 1,051 691 3 2,515 458 134 59 31 106 22 45 9 14 160 491 27 450 29 18 268 194 5 165 147 460 56 132 110 45 10 72 13 2,443 430 10,731 4 564 1,244 78 25 160 80 569 50 32 68 10 34 44 1 38 126 9 78 33 202 31 9 469 67 4 14,136 466 12,843 332 33 75
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. population for the city of Mobile, Alabama, includes 61,856 inhabitants from the jurisdiction of the Mobile County Sheriff's Department.
Burglary
238 76 5 36 4 11 403 173 96 1 541 60 31 13 3 30 5 11 3 7 46 94 9 101 5 5 57 47 2 41 31 72 34 35 24 9 6 19 1 372 98 2,283 1 146 182 11 2 37 25 119 7 7 17 4 7 7 0 4 35 3 21 7 40 7 2 144 20 0 3,650 103 3,317 56 10 7
Larcenytheft
877 257 9 159 23 63 1,315 803 557 2 1,793 380 93 43 24 71 15 26 5 4 104 380 17 341 22 10 201 138 3 114 110 376 19 94 84 29 2 51 11 1,910 297 7,282 2 360 980 67 18 117 50 419 40 23 45 6 24 33 1 32 85 6 52 24 151 24 7 296 44 4 9,361 329 8,579 237 21 60
Motor vehicle theft
97 11 1 16 5 3 57 75 38 0 181 18 10 3 4 5 2 8 1 3 10 17 1 8 2 3 10 9 0 10 6 12 3 3 2 7 2 2 1 161 35 1,166 1 58 82 0 5 6 5 31 3 2 6 0 3 4 0 2 6 0 5 2 11 0 0 29 3 0 1,125 34 947 39 2 8
Arson1
3
10
1 0
1
1 49
0
0
0 134 10 53 0
94
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Mountain Brook ...................... Mount Vernon.......................... Napier Field ............................. New Brockton.......................... New Hope ................................ Newton ..................................... North Courtland ...................... Northport ................................. Notasulga.................................. Oakman .................................... Ohatchee .................................. Oneonta.................................... Opelika ..................................... Opp ........................................... Orange Beach .......................... Oxford....................................... Ozark ........................................ Parrish....................................... Pelham ...................................... Pell City .................................... Pennington ............................... Phenix City............................... Phil Campbell .......................... Pickensville .............................. Piedmont .................................. Pine Hill.................................... Pisgah........................................ Powell........................................ Prattville ................................... Priceville ................................... Prichard .................................... Ragland .................................... Rainbow City ........................... Rainsville.................................. Ranburne.................................. Red Bay .................................... Red Level ................................. Reform...................................... Robertsdale.............................. Rockford .................................. Rogersville ............................... Russellville ............................... Samson...................................... Sardis City ................................ Satsuma..................................... Scottsboro ................................ Selma......................................... Sheffield.................................... Shorter ...................................... Silas ........................................... Silverhill.................................... Skyline ...................................... Slocomb .................................... Somerville ................................ Southside .................................. Spanish Fort ............................. Stevenson ................................. St. Florian ................................. Sulligent.................................... Sumiton .................................... Summerdale ............................. Sylacauga.................................. Sylvania .................................... Thomaston................................ Thomasville .............................. Thorsby..................................... Town Creek.............................. Triana ........................................ Trinity........................................ Trussville................................... Tuscaloosa ................................ Tuscumbia ................................ Tuskegee ................................... Uniontown ............................... 1 The
Population
20,952 821 397 1,216 2,709 1,663 794 22,201 833 945 1,230 6,860 24,600 6,701 5,810 20,396 14,656 1,260 21,060 12,256 327 30,309 1,046 646 4,998 914 702 976 31,949 2,503 28,087 2,082 9,079 4,923 482 3,283 555 1,834 4,976 396 1,190 8,842 2,027 2,101 6,032 14,971 19,101 9,176 338 487 704 842 2,040 471 8,279 5,619 2,140 472 1,963 2,578 701 12,946 1,267 375 4,558 2,030 1,202 482 1,907 18,401 83,811 8,235 11,423 1,480
Violent crime
6 6 0 0 9 5 0 128 0 4 0 21 308 22 8 112 118 7 35 78 0 113 2 0 3 4 0 0 90 5 255 6 1 12 1 5 0 17 29 0 4 18 6 3 9 28 314 36 10 4 1 1 9 1 10 11 36 2 1 4 12 54 4 0 31 0 0 1 2 53 557 6 130 34
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 2 0 0 0 1 5 1 0 1 3 0 0 2 0 3 0 0 0 1 0 0 1 0 14 1 0 0 0 0 0 0 4 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 10 0 3 0
Forcible rape
0 0 0 0 0 0 0 5 0 1 0 2 36 1 1 11 9 1 3 10 0 6 0 0 1 0 0 0 9 0 9 2 0 0 0 0 0 0 3 0 0 7 1 0 0 4 27 8 0 0 0 0 0 1 0 1 1 0 0 0 4 3 0 0 3 0 0 0 0 1 32 1 6 0
Robbery
5 0 0 0 1 2 0 54 0 1 0 1 62 2 4 48 19 1 22 13 0 52 0 0 1 0 0 0 33 0 98 0 1 0 0 0 0 6 4 0 1 1 3 0 1 6 90 9 5 1 1 0 1 0 1 3 2 1 0 4 1 22 0 0 3 0 0 0 0 37 264 2 28 0
Aggravated assault
1 6 0 0 8 3 0 67 0 2 0 17 205 18 3 52 87 5 10 53 0 52 2 0 1 3 0 0 47 5 134 3 0 12 1 5 0 11 18 0 3 10 2 3 8 18 193 18 5 3 0 1 8 0 8 7 33 1 1 0 7 27 4 0 22 0 0 1 2 15 251 3 93 34
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
395 15 4 41 61 34 1 1,135 25 21 68 268 1,551 226 384 1,232 716 48 550 551 4 1,286 24 10 263 7 2 13 1,301 63 1,353 39 239 142 17 70 3 71 152 0 60 75 17 65 112 629 2,371 533 16 4 33 4 24 32 122 162 115 18 58 334 94 844 24 1 261 9 35 5 15 955 5,047 233 965 37
Burglary
65 5 1 8 20 7 0 248 9 5 32 21 284 26 66 230 147 6 41 106 3 385 2 3 42 2 0 2 255 7 391 9 40 20 1 12 3 28 28 0 19 20 4 19 19 15 694 136 5 1 5 1 5 6 26 25 25 9 3 40 24 170 6 0 76 2 4 2 1 63 1,199 30 368 9
Larcenytheft
325 8 3 29 39 22 1 798 14 13 29 235 1,224 198 307 936 503 40 475 421 1 703 21 5 221 4 2 11 984 50 738 27 194 117 12 55 0 43 120 0 36 47 11 43 74 590 1,492 386 11 2 28 3 18 24 93 137 79 7 52 269 68 655 17 1 178 6 30 3 7 862 3,569 191 581 27
Motor vehicle theft
5 2 0 4 2 5 0 89 2 3 7 12 43 2 11 66 66 2 34 24 0 198 1 2 0 1 0 0 62 6 224 3 5 5 4 3 0 0 4 0 5 8 2 3 19 24 185 11 0 1 0 0 1 2 3 0 11 2 3 25 2 19 1 0 7 1 1 0 7 30 279 12 16 1
Arson1
0
SECTION II: OFFENSES REPORTED 95 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
ALASKA
ARIZONA
1 The 3 The
City
Valley Head.............................. Vernon ...................................... Vestavia Hills ........................... Warrior ..................................... Weaver ...................................... Wetumpka ................................ Winfield .................................... Woodstock................................ York .......................................... Anchorage................................ Bethel........................................ Bristol Bay Borough ............... Cordova .................................... Craig.......................................... Dillingham................................ Fairbanks .................................. Haines ....................................... Homer....................................... Houston .................................... Juneau ....................................... Kenai......................................... Ketchikan ................................. Kodiak ...................................... North Pole ................................ North Slope Borough.............. Palmer....................................... Petersburg ................................ Seward ...................................... Sitka .......................................... Skagway.................................... Soldotna.................................... St. Paul ...................................... Unalaska................................... Wasilla....................................... Wrangell ................................... Apache Junction ...................... Benson ...................................... Bisbee ....................................... Buckeye .................................... Bullhead City ........................... Camp Verde ............................. Casa Grande ............................ Chandler ................................... Chino Valley3 ........................... Clarkdale .................................. Clifton ....................................... Colorado City .......................... Coolidge ................................... Cottonwood ............................. Douglas..................................... Eagar......................................... Eloy ........................................... Flagstaff .................................... Florence.................................... Fredonia.................................... Gilbert....................................... Glendale ................................... Globe ........................................ Goodyear.................................. Hayden ..................................... Holbrook .................................. Huachuca City ......................... Kearny ...................................... Kingman ................................... Lake Havasu City.................... Mammoth ................................. Marana...................................... Mesa.......................................... Miami........................................ Oro Valley ................................ Paradise Valley......................... Parker ....................................... Peoria........................................ Phoenix .....................................
Population
653 1,898 31,097 2,982 2,620 7,558 4,711 1,018 2,563 284,142 6,488 1,028 2,322 1,186 2,494 31,287 2,260 5,629 1,992 30,746 7,620 7,384 6,242 1,869 6,569 7,931 2,890 3,054 8,932 827 4,198 431 4,155 9,931 2,028 30,925 4,913 6,077 34,618 41,209 10,780 35,951 250,868 10,886 3,904 2,285 4,816 7,875 11,455 17,077 4,324 10,795 58,978 16,964 1,066 206,681 250,444 7,097 53,834 1,267 5,186 1,886 3,000 28,306 58,699 2,347 33,374 454,576 1,809 40,364 14,594 3,211 147,223 1,541,698
Violent crime
1 1 22 0 6 20 1 11 16 2,405 61 8 9 41 76 258 16 52 3 126 30 21 33 9 70 65 1 3 31 1 21 6 15 47 1 140 10 41 51 114 32 307 823 6 10 1 92 52 30 12 90 316 49 1 236 1,508 72 143 18 96 3 15 89 134 4 65 2,224 23 24 7 25 355 11,159
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 22 2 0 0 0 1 5 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 1 4 1 2 9 0 0 0 0 1 1 0 0 0 3 0 0 1 15 0 1 0 0 0 0 1 5 0 0 22 0 0 0 0 6 213
Forcible rape
0 0 5 0 0 5 0 0 0 257 15 0 0 0 24 43 1 2 0 22 2 9 5 1 15 4 0 1 9 0 2 2 4 2 0 18 1 1 6 2 1 5 51 2 1 0 0 6 0 4 0 17 51 0 1 23 58 5 31 1 7 1 0 8 20 0 10 175 0 6 0 0 41 509
Robbery
0 0 6 0 0 6 0 2 3 453 0 0 0 0 3 42 0 1 0 17 3 1 1 1 7 1 0 0 0 0 1 0 1 2 0 26 4 2 9 33 1 79 246 0 0 0 0 13 8 7 0 17 63 2 0 56 542 6 27 1 5 0 0 16 8 0 16 620 1 5 1 2 102 4,942
Aggravated assault
1 1 11 0 6 9 1 9 13 1,673 44 8 9 41 48 168 15 49 3 86 24 11 27 7 48 60 1 2 22 1 18 4 10 43 1 92 5 38 35 75 29 221 517 5 10 1 72 43 19 12 56 199 47 0 156 893 61 84 16 84 2 15 64 101 4 39 1,407 22 13 6 23 206 5,495
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
Property crime
1 20 295 1 73 416 139 45 65 11,107 107 49 14 18 78 1,358 74 220 40 1,364 318 476 209 116 149 282 117 146 290 14 218 7 74 553 77 1,677 240 307 1,582 1,999 327 3,024 7,934 228 65 75 5 770 531 619 90 654 3,678 173 17 4,951 12,452 414 2,497 62 442 34 71 2,070 1,813 20 1,149 19,945 95 759 352 237 5,802 89,825
Burglary
0 3 92 1 28 73 37 19 14 1,454 25 11 1 5 18 236 24 32 8 174 32 41 13 24 52 23 6 21 21 1 14 6 7 58 5 316 50 44 560 491 59 968 1,231 42 32 21 2 237 72 94 23 168 471 25 2 996 2,766 124 1,179 28 161 10 34 415 307 7 180 2,922 32 134 204 58 1,329 19,212
Larcenytheft
1 16 182 0 43 328 94 23 48 8,397 63 24 10 10 40 957 46 165 24 1,137 265 407 175 85 70 242 103 118 250 11 189 1 59 442 67 1,127 157 255 858 1,367 242 1,710 5,871 172 28 44 3 457 421 461 59 424 3,087 133 14 3,530 6,719 275 996 32 259 20 37 1,485 1,388 8 841 14,063 57 580 124 160 3,697 49,754
Motor vehicle theft
0 1 21 0 2 15 8 3 3 1,256 19 14 3 3 20 165 4 23 8 53 21 28 21 7 27 17 8 7 19 2 15 0 8 53 5 234 33 8 164 141 26 346 832 14 5 10 0 76 38 64 8 62 120 15 1 425 2,967 15 322 2 22 4 0 170 118 5 128 2,960 6 45 24 19 776 20,859
Arson1
145 2 1 0 2 0 6 0 1 0 10 0 4 6 0 8 2 0 2 2 0 0 0 0 0 0 5 1 0 6 10 3 17 68 0 0 5 0 13 3 3 0 15 70 0 0 19 67 7 6 2 0 1 5 10 0 10 54 14 11 1 2 17 487
96
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
ARKANSAS
1 The
City
Pima .......................................... Prescott ..................................... Prescott Valley ......................... Quartzsite ................................. Sahuarita3 ................................. Scottsdale ................................. Sedona ...................................... Show Low................................. Sierra Vista ............................... Snowflake-Taylor .................... Somerton .................................. South Tucson ............................ Springerville ............................. Surprise..................................... Tempe ....................................... Thatcher.................................... Tolleson .................................... Tucson4...................................... Wellton ..................................... Wickenburg .............................. Willcox ...................................... Winslow .................................... Youngtown ............................... Yuma......................................... Altheimer ................................. Arkadelphia ............................. Arkansas City .......................... Ashdown .................................. Atkins ....................................... Augusta..................................... Bald Knob ................................ Barling ...................................... Bay ............................................ Bearden .................................... Beebe ........................................ Benton ...................................... Bentonville ............................... Berryville.................................. Blytheville ................................ Bono.......................................... Booneville ................................ Brinkley .................................... Bryant ....................................... Bull Shoals ............................... Cabot......................................... Caddo Valley ............................ Camden..................................... Cammack Village..................... Caraway.................................... Carlisle...................................... Cave City .................................. Cave Springs ............................ Centerton ................................. Charleston ................................ Cherokee Village ..................... Clarendon................................. Clarksville ................................ Clinton ...................................... Conway ..................................... Corning ..................................... Cotter........................................ Crossett..................................... Danville .................................... Dardanelle................................ Decatur ..................................... De Queen ................................. Des Arc..................................... De Witt ..................................... Dierks ....................................... Dover ........................................ Dumas....................................... Earle.......................................... El Dorado................................. Elkins ........................................
Population
1,967 42,674 38,204 3,473 16,011 235,243 11,484 11,588 43,441 9,448 11,370 5,579 2,002 98,965 171,320 4,285 7,121 523,299 1,898 6,507 3,842 10,018 5,062 88,874 1,143 10,418 538 4,497 2,929 2,355 3,364 4,397 1,992 1,019 6,062 27,758 34,232 5,195 16,161 1,557 4,137 3,368 14,181 2,124 23,366 622 11,812 766 1,359 2,451 2,074 1,583 7,803 3,035 4,812 1,766 8,553 2,506 57,245 3,403 1,074 5,623 2,488 4,431 1,670 5,890 1,765 3,354 1,244 1,388 4,725 2,835 20,200 2,463
Violent crime
2 130 194 7 29 438 9 108 134 64 22 186 5 154 916 3 72 4,103 2 21 6 56 21 601 4 43 1 20 1 17 8 12 0 6 27 134 79 19 156 2 16 10 40 0 100 0 82 0 1 5 5 3 4 3 2 0 40 1 183 10 0 21 5 21 2 36 7 24 2 2 25 2 207 3
Murder and nonnegligent manslaughter 0 1 0 0 0 5 0 0 4 0 0 0 0 6 10 0 1 49 0 0 0 3 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
Forcible rape
0 7 14 0 4 41 3 2 20 0 0 3 1 15 63 0 2 277 0 3 0 0 0 32 0 5 0 0 0 4 0 1 0 1 2 14 20 5 8 0 1 0 6 0 8 0 7 0 0 1 1 1 0 0 2 0 2 0 39 5 0 3 3 3 0 8 0 4 1 0 3 0 1 0
Robbery
0 19 10 0 4 143 1 5 19 0 2 88 0 34 330 0 12 1,432 0 2 1 5 0 75 0 5 0 5 0 1 3 0 0 1 5 29 4 1 42 0 1 4 4 0 3 0 18 0 0 1 0 0 0 0 0 0 6 0 64 1 0 4 0 1 0 3 0 6 0 1 11 1 46 0
Aggravated assault
2 103 170 7 21 249 5 101 91 64 20 95 4 99 513 3 57 2,345 2 16 5 48 21 488 4 33 1 15 1 12 5 11 0 4 20 91 55 13 101 2 14 5 30 0 87 0 57 0 1 3 4 2 4 3 0 0 32 1 79 4 0 14 2 17 2 25 7 14 1 1 11 1 157 3
Property crime
Burglary
50 1,387 851 54
17 279 168 9
8,138 275 493 1,644 250 220 939 73 2,493 11,424 104 911
1,523 84 155 283 90 49 145 21 534 1,866 19 232 4,787 18 85 85 76 36 888 16 133 8 21 30 17 114 26 10 23 109 348 128 72 372 21 57 29 100 9 255 8 227 20 1 29 10 4 27 13 34 0 45 7 465 13 9 72 3 114 6 50 18 76 2 35 38 78 504 1
36 264 345 476 118 3,913 31 324 19 158 80 98 201 80 26 42 416 1,499 879 235 1,261 42 200 158 689 25 782 12 849 24 3 70 39 20 94 32 98 0 481 72 2,319 30 32 266 7 131 13 241 31 197 6 58 147 132 1,276 13
Larcenytheft
30 1,059 635 44 325 5,863 180 299 1,230 139 132 705 46 1,719 7,959 83 567 16 134 213 378 57 2,393 12 178 10 128 49 81 81 51 15 17 293 1,080 714 156 780 21 137 123 551 15 491 4 600 3 1 39 26 16 67 19 59 0 423 62 1,681 14 22 187 4 15 5 185 10 117 2 22 100 54 711 11
Motor vehicle theft
Arson1
3 49 48 1 42 752 11 39 131 21 39 89 6 240 1,599 2 112 6,767 2 45 47 22 25 632 3 13 1 9 1 0 6 3 1 2 14 71 37 7 109 0 6 6 38 1 36 0 22 1 1 2 3 0 0 0 5 0 13 3 173 3 1 7 0 2 2 6 3 4 2 1 9 0 61 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table. 4 It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table. 3 The
0 2 6 0 2 31 3 1 26 3 1 1 0 20 69 1 2 280 0 0 2 2 1 30 0 2 0 4 0 0 1 0 0 0 3 2 4 0 19 0 1 0 0 0 2 0 5 0 0 0 0 0 0 0 1 0 0 0 6 1 0 3 0 5 0 0 0 1 1 0 1 1 10 0
SECTION II: OFFENSES REPORTED 97 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
England .................................... Etowah...................................... Eureka Springs ........................ Fairfield Bay............................. Farmington ............................... Fayetteville ............................... Flippin....................................... Fordyce ..................................... Forrest City .............................. Fort Smith................................. Gassville ................................... Gentry....................................... Glenwood ................................. Gould ........................................ Gravette.................................... Greenbrier................................ Green Forest ............................ Greenland ................................ Greenwood .............................. Gurdon ..................................... Hamburg................................... Hampton................................... Hardy ........................................ Harrisburg ................................ Harrison.................................... Hazen........................................ Heber Springs .......................... Helena-West Helena ............... Highland ................................... Hope ......................................... Horseshoe Bend ...................... Hot Springs .............................. Hoxie......................................... Jacksonville .............................. Jonesboro ................................. Judsonia .................................... Kensett...................................... Lake City .................................. Lakeview .................................. Lake Village ............................. Leachville ................................. Lepanto .................................... Lincoln...................................... Little Flock............................... Little Rock ............................... Lonoke...................................... Lowell ....................................... Magnolia................................... Marianna .................................. Marion ...................................... Marked Tree............................. Marmaduke.............................. Marvell...................................... Maumelle.................................. McCrory ................................... McGehee .................................. McRae....................................... Mena ......................................... Mineral Springs ....................... Monticello ................................ Morrilton .................................. Mountain Home ...................... Mountain View ........................ Mulberry................................... Murfreesboro ........................... Nashville ................................... Newport.................................... North Little Rock.................... Ola............................................. Osceola ..................................... Ozark ........................................ Pangburn .................................. Paragould ................................. Paris........................................... 1 The
Population
3,049 344 2,369 2,527 4,801 70,334 1,407 4,282 13,699 83,860 2,083 2,688 2,030 1,171 2,465 3,855 2,876 1,195 8,404 2,231 2,770 1,493 819 2,142 13,097 1,502 7,156 12,800 1,089 10,467 2,282 38,828 2,635 30,565 61,199 2,145 1,717 2,022 832 2,552 1,813 2,041 1,988 3,179 184,594 4,651 7,314 10,250 4,624 10,331 2,666 1,173 1,194 15,613 1,616 4,105 695 5,632 1,298 9,122 6,558 12,383 3,079 1,730 1,666 4,862 7,129 58,680 1,232 7,920 3,587 671 24,562 3,674
Violent crime
15 1 7 1 6 362 2 21 104 787 3 9 3 0 1 1 16 8 15 15 15 5 0 6 70 11 18 214 0 96 3 442 0 287 333 3 8 1 1 55 10 4 2 0 2,987 18 12 71 18 59 1 6 3 9 2 8 4 7 4 69 32 10 4 3 1 18 46 808 3 155 11 2 113 12
Murder and nonnegligent manslaughter 0 0 0 0 0 3 0 3 2 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 7 0 5 5 0 0 0 0 0 0 0 0 0 51 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0
Forcible rape
2 0 1 1 1 42 1 1 6 78 0 2 0 0 0 0 2 0 4 0 4 1 0 2 12 1 2 12 0 10 2 10 0 25 30 1 2 0 0 5 1 0 0 0 123 3 2 6 0 1 0 0 0 1 0 0 0 0 0 7 5 1 0 0 0 6 5 39 0 7 2 0 18 0
Robbery
3 0 1 0 0 55 1 3 37 143 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 5 0 23 0 15 0 116 0 57 92 0 2 1 0 2 1 0 0 0 1,022 5 0 20 5 18 1 1 1 1 1 2 1 0 0 9 2 3 2 0 0 1 4 232 0 10 0 0 9 1
Aggravated assault
10 1 5 0 5 262 0 14 59 561 3 7 3 0 1 1 14 8 11 15 11 4 0 3 57 5 16 176 0 70 1 309 0 200 206 2 4 0 1 48 8 4 2 0 1,791 10 10 45 13 40 0 5 2 6 1 6 3 7 4 53 25 6 2 3 1 11 37 519 3 138 9 2 86 11
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
152 6 127 40 74 3,236 61 160 1,205 5,474 35 19 49 0 39 13 52 36 130 93 58 38 5 132 638 40 327 1,008 22 672 27 3,951 20 1,615 3,526 22 46 14 12 57 32 72 23 18 16,112 233 134 440 219 390 67 57 36 346 11 138 53 117 18 423 502 533 79 39 37 256 504 5,845 11 425 48 14 1,826 146
Burglary
43 1 24 6 17 656 20 63 206 1,041 6 6 31 0 13 6 12 13 35 32 22 15 3 52 234 16 111 490 11 171 8 848 8 360 1,419 5 23 3 5 21 11 32 8 9 3,932 87 62 265 87 132 12 14 12 180 1 48 17 21 9 126 101 34 14 16 17 131 90 1,537 10 127 27 5 540 43
Larcenytheft
100 5 99 34 53 2,435 41 85 959 4,110 29 13 18 0 25 7 37 17 94 59 36 23 2 74 373 22 213 466 11 474 18 2,894 11 1,146 1,993 15 20 10 7 34 21 39 14 8 10,915 142 67 149 132 240 54 41 23 150 10 88 36 95 9 267 373 490 61 23 19 123 394 3,799 1 272 20 9 1,185 99
Motor vehicle theft
9 0 4 0 4 145 0 12 40 323 0 0 0 0 1 0 3 6 1 2 0 0 0 6 31 2 3 52 0 27 1 209 1 109 114 2 3 1 0 2 0 1 1 1 1,265 4 5 26 0 18 1 2 1 16 0 2 0 1 0 30 28 9 4 0 1 2 20 509 0 26 1 0 101 4
Arson1
2 0 0 0 1 10 0 1 6 24 0 0 0 0 0 0 0 0 1 2 0 0 0 1 7 0 1 10 0 7 0 3 0 10 12 0 0 0 0 1 0 0 0 0 93 1 0 2 12 0 1 0 0 1 0 10 0 0 0 0 2 0 0 0 0 2 1 32 2 5 1 0 7 0
98
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
CALIFORNIA
1 The
City
Pea Ridge ................................. Piggott....................................... Pine Bluff.................................. Plummerville............................ Pocahontas ............................... Pottsville ................................... Prairie Grove ........................... Prescott ..................................... Quitman.................................... Redfield .................................... Rison ......................................... Rockport .................................. Rogers....................................... Rose Bud .................................. Russellville ............................... Salem......................................... Searcy........................................ Sheridan.................................... Sherwood.................................. Siloam Springs ......................... Springdale ................................ Star City.................................... Stuttgart.................................... Sulphur Springs ....................... Swifton...................................... Texarkana ................................. Trumann ................................... Tuckerman................................ Van Buren ................................ Vilonia ...................................... Waldron .................................... Walnut Ridge ........................... Ward.......................................... Warren ...................................... Weiner....................................... West Fork ................................. West Memphis ......................... White Hall ................................ Wynne ....................................... Adelanto................................... Agoura Hills............................. Alameda ................................... Albany ...................................... Alhambra ................................. Aliso Viejo................................ Alturas ...................................... American Canyon ................... Anaheim ................................... Anderson.................................. Antioch ..................................... Apple Valley............................. Arcadia ..................................... Arcata ....................................... Arroyo Grande ........................ Artesia ...................................... Arvin ......................................... Atascadero ............................... Atherton ................................... Atwater..................................... Auburn...................................... Avalon....................................... Avenal....................................... Azusa ........................................ Bakersfield ............................... Baldwin Park ........................... Banning .................................... Barstow..................................... Bear Valley ............................... Beaumont ................................. Bell ............................................ Bellflower ................................. Bell Gardens ............................ Belmont .................................... Belvedere .................................
Population
4,269 3,603 51,304 870 6,893 2,528 3,415 4,653 741 1,171 1,324 812 54,223 453 26,319 1,558 21,304 4,495 23,703 14,659 65,695 2,253 9,197 676 797 30,156 6,821 1,673 22,238 3,085 3,636 4,631 3,659 6,182 741 2,259 28,137 5,196 8,481 28,719 22,966 70,445 15,889 87,729 41,691 2,924 17,053 335,133 10,629 101,973 71,211 56,967 16,929 16,485 16,607 15,228 27,465 7,307 27,762 13,072 3,325 17,175 47,403 318,743 78,943 30,163 23,957 4,567 30,093 37,420 74,544 45,451 24,605 2,065
Violent crime
4 6 889 4 3 17 12 53 0 2 2 2 93 3 97 0 58 4 117 27 322 4 53 7 0 447 35 2 63 5 50 11 17 44 2 1 590 5 42 153 49 205 45 285 31 5 51 1,423 45 860 269 156 51 26 86 105 106 12 103 49 39 44 206 1,961 281 209 337 1 46 175 507 218 24 1
Murder and nonnegligent manslaughter 0 0 15 0 0 1 0 1 0 0 0 0 0 0 1 0 2 0 0 0 2 0 1 0 0 3 0 0 0 0 0 0 0 1 0 0 3 0 0 5 0 2 0 1 1 1 3 17 1 10 2 2 0 0 1 0 1 0 1 0 0 0 1 15 8 1 3 0 0 3 5 6 0 0
Forcible rape
1 0 42 1 0 2 2 0 0 1 0 0 44 1 14 0 7 1 5 11 65 1 4 0 0 20 5 0 7 0 2 0 3 6 1 1 41 0 3 7 3 9 3 8 5 0 1 96 4 27 22 9 4 8 4 2 11 0 8 2 2 2 11 41 15 11 21 0 0 14 25 19 6 0
Robbery
0 1 265 0 1 3 1 2 0 0 0 1 14 1 7 0 7 0 21 0 33 1 9 0 0 64 4 0 9 0 2 0 1 5 0 0 187 3 8 33 9 106 33 192 8 0 14 581 3 411 78 71 10 3 43 25 8 2 22 5 5 8 56 629 105 50 72 0 20 82 244 81 6 0
Aggravated assault
3 5 567 3 2 11 9 50 0 1 2 1 35 1 75 0 42 3 91 16 222 2 39 7 0 360 26 2 47 5 46 11 13 32 1 0 359 2 31 108 37 88 9 84 17 4 33 729 37 412 167 74 37 15 38 78 86 10 72 42 32 34 138 1,276 153 147 241 1 26 76 233 112 12 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
105 55 4,422 13 100 45 98 81 10 16 12 14 2,340 4 1,287 17 1,110 119 857 556 2,825 58 543 13 5 1,548 493 10 831 76 149 80 104 135 21 39 2,191 140 377 758 348 1,976 776 2,120 526 90 433 8,798 438 3,122 1,902 1,704 524 366 345 643 565 205 1,021 373 162 133 1,273 16,058 1,914 769 1,209 28 660 581 2,524 862 357 22
Burglary
50 24 1,598 4 18 25 32 21 0 5 7 2 265 1 317 11 102 46 151 76 621 17 196 8 1 387 157 6 202 22 106 23 25 90 6 18 882 19 140 354 76 304 173 426 88 28 100 1,827 107 1,027 535 375 146 46 98 146 140 34 260 72 41 44 207 3,537 392 295 402 13 125 171 539 198 57 6
Larcenytheft
51 31 2,389 9 82 15 65 59 7 9 5 10 2,008 2 895 5 983 71 633 431 1,996 41 331 5 2 1,043 331 4 600 53 38 52 73 38 15 19 1,193 106 232 308 254 1,427 474 1,301 405 58 283 5,695 310 1,146 1,117 1,183 353 300 183 397 400 167 681 260 82 76 818 9,853 814 367 621 14 415 231 1,297 322 260 13
Motor vehicle theft
4 0 435 0 0 5 1 1 3 2 0 2 67 1 75 1 25 2 73 49 208 0 16 0 2 118 5 0 29 1 5 5 6 7 0 2 116 15 5 96 18 245 129 393 33 4 50 1,276 21 949 250 146 25 20 64 100 25 4 80 41 39 13 248 2,668 708 107 186 1 120 179 688 342 40 3
Arson1
1 1 80 0 1 1 0 0 0 1 0 0 1 0 2 0 0 0 2 4 21 0 2 0 0 4 1 0 2 0 3 1 0 0 0 0 25 0 1 11 6 17 3 16 2 2 2 41 3 50 16 1 1 5 30 18 2 8 2 1 8 91 16 0 15 0 0 13 4 9 0
SECTION II: OFFENSES REPORTED 99 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Benicia ...................................... Berkeley ................................... Beverly Hills ............................ Big Bear Lake.......................... Biggs.......................................... Bishop ....................................... Blue Lake ................................. Blythe........................................ Bradbury .................................. Brawley..................................... Brea........................................... Brentwood................................ Brisbane.................................... Broadmoor ............................... Buellton .................................... Buena Park............................... Burbank.................................... Burlingame............................... Calabasas.................................. Calexico .................................... California City ......................... Calimesa ................................... Calipatria.................................. Calistoga ................................... Camarillo.................................. Campbell .................................. Canyon Lake............................ Capitola .................................... Carlsbad.................................... Carmel ...................................... Carpinteria ............................... Carson....................................... Cathedral City.......................... Ceres ......................................... Cerritos ..................................... Chico ......................................... Chino ........................................ Chino Hills ............................... Chowchilla................................ Chula Vista ............................... City of Angels .......................... Claremont................................. Clayton ..................................... Clearlake .................................. Cloverdale ................................ Clovis ........................................ Coachella.................................. Coalinga.................................... Colma........................................ Colton ....................................... Colusa ....................................... Commerce ................................ Compton................................... Concord .................................... Corcoran................................... Corning ..................................... Corona ...................................... Coronado.................................. Costa Mesa............................... Cotati ........................................ Covina....................................... Crescent City............................ Cudahy...................................... Culver City ............................... Cupertino ................................. Cypress ..................................... Daly City .................................. Dana Point ............................... Danville .................................... Davis ......................................... Delano ...................................... Del Mar .................................... Del Rey Oaks........................... Desert Hot Springs.................. 1 The
Population
26,544 101,343 35,133 6,276 1,802 3,566 1,110 22,696 1,067 22,666 39,041 52,238 3,575 4,345 4,345 79,890 104,871 27,489 22,693 38,928 13,443 7,528 7,743 5,217 63,238 37,429 11,544 9,432 95,056 3,905 13,392 94,359 53,953 43,427 52,462 74,288 80,699 76,484 18,772 218,718 3,949 35,250 11,252 15,133 8,319 92,592 38,604 17,801 1,436 51,924 5,901 13,672 95,990 122,202 23,715 7,348 153,518 26,888 109,835 7,272 47,961 7,909 24,953 39,474 53,002 47,741 100,632 36,051 41,503 61,238 52,051 4,365 1,545 23,890
Violent crime
57 639 157 42 22 30 4 99 0 64 77 124 10 16 11 317 274 57 16 94 61 8 0 23 94 101 23 85 318 9 28 684 204 192 138 385 232 74 21 921 20 87 9 67 28 133 302 93 14 245 14 149 1,623 492 45 45 340 26 258 34 216 29 143 181 53 96 293 47 22 169 282 18 0 276
Murder and nonnegligent manslaughter 1 5 0 0 0 0 0 1 0 1 0 0 0 0 0 3 3 1 2 0 1 1 0 0 0 1 0 0 2 0 0 16 4 3 0 3 0 1 2 8 0 0 0 2 0 0 2 0 0 9 0 0 37 3 0 0 5 1 0 0 6 2 4 2 0 1 0 0 1 0 5 0 0 4
Forcible rape
5 24 15 7 1 0 1 6 0 5 4 9 0 1 1 12 14 4 1 1 4 0 0 1 8 8 1 9 13 0 4 10 18 7 4 59 7 3 4 57 1 11 0 9 1 23 2 4 1 9 0 5 42 13 4 4 28 6 39 0 12 5 9 6 7 5 15 3 3 21 9 2 0 16
Robbery
22 431 81 4 1 4 0 17 0 23 40 44 3 5 2 131 98 21 7 27 10 5 0 5 22 30 3 13 88 3 7 220 49 61 78 107 106 25 3 396 1 41 6 7 5 48 73 10 5 116 5 67 466 270 5 3 187 10 77 5 98 4 61 135 12 38 186 14 7 57 42 5 0 61
Aggravated assault
29 179 61 31 20 26 3 75 0 35 33 71 7 10 8 171 159 31 6 66 46 2 0 17 64 62 19 63 215 6 17 438 133 121 56 216 119 45 12 460 18 35 3 49 22 62 225 79 8 111 9 77 1,078 206 36 38 120 9 142 29 100 18 69 38 34 52 92 30 11 91 226 11 0 195
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
475 7,116 1,169 286 41 178 61 593 13 1,162 1,513 1,271 129 77 100 2,058 2,767 848 393 1,278 301 204 16 128 1,062 1,514 170 811 2,448 158 227 2,605 1,787 2,055 1,880 2,454 2,500 1,111 324 7,279 74 975 165 654 179 2,843 1,560 498 373 1,929 164 1,137 2,805 4,998 216 265 4,022 535 3,336 154 1,845 233 558 1,459 837 919 2,111 552 643 2,121 1,863 217 29 1,718
Burglary
153 1,172 284 95 11 40 18 212 5 368 207 259 22 36 19 419 487 127 79 365 143 57 8 21 205 232 56 104 528 25 52 429 501 374 333 729 594 279 112 1,093 25 269 37 211 28 578 380 119 5 498 63 181 636 816 65 71 670 63 509 45 408 67 79 214 178 206 291 88 80 579 669 46 7 637
Larcenytheft
260 4,949 833 169 23 132 39 349 7 677 1,194 880 94 28 74 1,122 1,840 631 286 336 143 120 4 101 794 1,058 82 680 1,684 122 165 1,593 906 1,190 1,242 1,450 1,568 706 194 3,790 45 639 120 345 135 1,964 750 342 343 983 90 588 1,034 2,970 119 170 2,659 378 2,426 90 1,241 144 280 1,102 618 569 1,410 425 509 1,436 650 134 19 655
Motor vehicle theft
62 995 52 22 7 6 4 32 1 117 112 132 13 13 7 517 440 90 28 577 15 27 4 6 63 224 32 27 236 11 10 583 380 491 305 275 338 126 18 2,396 4 67 8 98 16 301 430 37 25 448 11 368 1,135 1,212 32 24 693 94 401 19 196 22 199 143 41 144 410 39 54 106 544 37 3 426
Arson1
13 29 4 1 0 0 1 24 0 11 7 27 0 3 1 29 18 6 2 7 6 0 0 0 9 23 0 5 10 0 2 37 1 13 58 14 8 3 28 3 9 0 7 1 16 8 1 5 0 9 82 23 4 6 21 4 9 2 18 1 1 1 22 8 44 5 1 26 1 0 0
100
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Diamond Bar ........................... Dinuba ...................................... Dixon ........................................ Dorris........................................ Dos Palos.................................. Downey..................................... Duarte....................................... Dublin ....................................... Dunsmuir.................................. East Palo Alto.......................... El Cajon.................................... El Centro .................................. El Cerrito.................................. Elk Grove................................. El Monte................................... El Segundo ............................... Emeryville ................................ Encinitas ................................... Escalon ..................................... Escondido................................. Etna........................................... Eureka3 ..................................... Exeter ....................................... Fairfax ....................................... Fairfield..................................... Farmersville.............................. Ferndale.................................... Fillmore .................................... Firebaugh.................................. Folsom ...................................... Fontana ..................................... Fort Bragg ................................ Fort Jones ................................. Fortuna ..................................... Foster City ................................ Fountain Valley ........................ Fowler ....................................... Fremont .................................... Fresno ....................................... Fullerton ................................... Galt ........................................... Gardena.................................... Garden Grove.......................... Gilroy........................................ Glendale ................................... Glendora .................................. Goleta ....................................... Gonzales ................................... Grand Terrace .......................... Grass Valley ............................. Greenfield3 ............................... Gridley...................................... Grover Beach3 ......................... Guadalupe................................ Gustine ..................................... Half Moon Bay ........................ Hanford .................................... Hawaiian Gardens................... Hawthorne ............................... Hayward ................................... Healdsburg ............................... Hemet ....................................... Hercules.................................... Hermosa Beach ....................... Hesperia ................................... Hidden Hills............................. Highland ................................... Hillsborough ............................ Hollister.................................... Holtville.................................... Hughson ................................... Huntington Beach ................... Huntington Park...................... Huron........................................ 1 The 3 The
Population
57,954 19,926 17,883 851 5,000 109,642 22,255 43,751 1,824 33,210 91,302 40,957 22,514 138,103 124,182 16,533 9,041 59,424 7,439 133,429 785 25,347 10,307 7,091 106,098 10,219 1,398 15,219 7,036 68,320 176,490 6,780 659 11,312 28,958 55,973 5,236 201,318 472,170 133,855 23,967 59,951 166,414 49,343 200,049 50,495 29,243 8,795 12,334 12,525 14,484 5,982 12,761 6,621 5,243 12,370 49,694 15,510 85,609 140,603 10,955 71,825 25,636 19,676 86,750 2,060 52,582 10,697 35,812 5,372 6,791 195,067 62,269 7,301
Violent crime
133 132 73 5 35 516 84 76 9 261 494 266 177 505 686 36 112 159 21 657 0 21 18 632 55 1 52 13 98 896 42 1 24 22 111 9 606 3,043 467 94 448 645 251 375 83 53 38 22 66 76 9 22 21 151 149 765 881 19 479 51 67 322 0 325 2 194 6 1 376 603 44
Murder and nonnegligent manslaughter 3 1 1 0 0 3 1 0 0 7 4 3 2 2 6 0 1 0 0 4 0 1 0 0 7 0 0 1 0 2 8 0 0 1 0 0 0 5 52 5 0 5 8 1 2 1 0 0 0 1 2 0 0 0 0 1 0 0 10 8 0 3 0 0 5 0 6 0 4 0 0 0 9 0
Forcible rape
9 6 9 0 3 17 4 6 3 20 21 11 4 23 25 3 1 9 4 28 0 19 1 0 36 0 0 1 0 8 43 4 0 8 2 8 0 35 99 41 12 8 35 12 12 9 4 1 2 3 4 8 7 0 0 2 8 1 27 48 2 36 5 12 27 0 18 0 9 0 0 29 10 0
Robbery
55 29 18 0 0 289 29 18 0 66 184 31 114 154 235 17 85 42 1 280 0 46 9 1 221 9 0 8 1 27 292 3 0 4 5 40 0 232 1,104 186 26 287 262 74 166 32 13 9 2 6 47 2 5 1 3 1 40 75 378 538 4 149 24 19 100 0 135 0 47 0 1 102 379 22
Aggravated assault
66 96 45 5 32 207 50 52 6 168 285 221 57 326 420 16 25 108 16 345 0 11 17 368 46 1 42 12 61 553 35 1 11 15 63 9 334 1,788 235 56 148 340 164 195 41 36 28 18 56 66 8 19 17 103 73 350 287 13 291 22 36 190 0 166 2 134 6 0 245 205 22
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
Property crime
1,058 949 820 11 156 3,896 523 756 26 688 3,952 2,072 1,145 3,683 2,810 776 1,156 1,144 270 4,329 7 1,517 319 110 4,352 243 18 306 213 1,594 4,152 297 11 377 481 1,443 219 5,173 20,969 4,128 888 1,428 4,152 2,016 3,667 1,494 377 289 242 368 540 191 276 90 109 256 1,674 407 1,992 4,667 279 3,117 490 552 2,018 29 1,336 95 883 114 172 4,035 2,777 194
Burglary
362 272 114 5 44 669 120 117 5 263 584 710 253 951 625 154 144 306 86 808 7 327 95 33 696 68 5 51 28 329 936 66 2 41 65 328 31 1,292 3,897 883 202 309 866 289 611 218 89 86 73 72 155 60 76 24 30 48 244 81 451 965 55 815 129 108 517 9 375 27 300 49 40 795 349 54
Larcenytheft
602 503 624 6 93 2,175 316 543 19 202 2,127 1,115 659 2,186 1,393 557 830 702 160 2,428 0 993 174 64 2,988 129 12 235 153 1,146 2,067 212 8 307 375 991 141 3,108 13,049 2,731 567 703 2,638 1,431 2,533 1,173 255 159 125 270 304 109 182 53 63 189 1,233 222 953 2,021 211 1,846 267 410 1,099 19 582 64 459 38 106 2,825 1,326 113
Motor vehicle theft
94 174 82 0 19 1,052 87 96 2 223 1,241 247 233 546 792 65 182 136 24 1,093 0 197 50 13 668 46 1 20 32 119 1,149 19 1 29 41 124 47 773 4,023 514 119 416 648 296 523 103 33 44 44 26 81 22 18 13 16 19 197 104 588 1,681 13 456 94 34 402 1 379 4 124 27 26 415 1,102 27
Arson1
6 9 4 0 0 13 4 7 0 1 14
6 22 5 0 7 0 23 0 20 4 30 6 0 3 0 13 13 4 0 4 4 5 1 18 222 21 7 9 34 12 16 0 0 5 0 0 3 1 1 2 33 5 60 4 18 4 2 25 0 13 0 13 1 0 42 19 10
SECTION II: OFFENSES REPORTED 101 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Imperial .................................... Imperial Beach ........................ Indian Wells.............................. Indio.......................................... Industry .................................... Inglewood................................. Ione ........................................... Irvine......................................... Irwindale .................................. Isleton ....................................... Jackson...................................... Kensington ............................... Kerman ..................................... King City .................................. Kingsburg ................................. La Canada Flintridge .............. Lafayette................................... Laguna Beach .......................... Laguna Hills............................. Laguna Niguel ......................... Laguna Woods ......................... La Habra .................................. La Habra Heights.................... Lake Elsinore........................... Lake Forest .............................. Lakeport ................................... Lake Shastina........................... Lakewood................................. La Mesa .................................... La Mirada................................. Lancaster .................................. La Palma................................... La Puente ................................. La Quinta ................................. La Verne ................................... Lawndale .................................. Lemon Grove........................... Lemoore ................................... Lincoln...................................... Lindsay ..................................... Livermore................................. Livingston................................. Lodi ........................................... Loma Linda.............................. Lomita....................................... Lompoc..................................... Long Beach .............................. Los Alamitos ............................ Los Altos .................................. Los Altos Hills ......................... Los Angeles.............................. Los Banos................................. Los Gatos ................................. Lynwood ................................... Madera...................................... Malibu....................................... Mammoth Lakes...................... Manhattan Beach .................... Manteca .................................... Marina....................................... Martinez ................................... Marysville ................................. Maywood.................................. Menlo Park............................... Merced...................................... Millbrae .................................... Mill Valley ................................ Milpitas ..................................... Mission Viejo ........................... Modesto.................................... Monrovia .................................. Montague ................................. Montclair .................................. Montebello ............................... 1 The
Population
12,506 26,013 5,175 81,909 906 115,223 7,721 201,872 1,474 800 4,468 5,327 12,795 11,237 11,483 21,079 25,007 24,215 32,172 65,044 18,313 59,290 6,004 47,937 76,359 5,291 2,364 80,138 52,801 50,143 144,210 15,821 41,581 44,533 33,549 32,052 23,721 23,461 47,236 10,925 80,253 13,286 63,218 21,641 20,539 39,697 473,959 11,725 27,451 8,341 3,870,487 36,123 28,320 71,216 56,797 13,263 7,449 37,061 65,857 18,048 35,538 11,903 28,796 29,867 78,186 20,425 13,280 64,498 95,095 208,067 38,148 1,485 35,893 63,071
Violent crime
5 157 3 350 112 1,036 10 143 28 14 24 4 28 76 14 25 25 49 55 47 3 209 8 184 93 14 0 457 238 115 1,311 45 222 209 82 247 159 79 54 75 169 97 230 28 124 272 3,426 34 18 2 27,806 142 35 721 415 29 37 54 242 50 122 167 175 74 611 39 16 179 82 1,490 135 3 235 242
Murder and nonnegligent manslaughter 0 0 0 2 2 19 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 3 1 0 0 4 0 0 12 0 1 1 0 1 1 3 0 1 1 0 1 0 2 3 42 0 0 0 395 1 0 9 2 0 0 0 1 0 1 0 3 0 7 0 0 1 0 11 2 0 4 2
Forcible rape
1 17 1 32 0 19 1 19 3 0 3 0 2 6 1 1 2 10 6 2 0 19 1 7 6 1 0 17 7 7 59 1 12 9 6 10 10 9 7 1 17 8 8 5 4 22 138 2 3 0 1,004 6 4 27 14 1 3 2 14 5 14 10 6 5 28 6 2 10 1 65 4 0 12 11
Robbery
2 46 2 127 60 518 1 44 16 1 3 2 3 20 2 7 8 9 14 13 1 66 2 51 32 2 0 248 125 39 435 8 79 27 39 120 46 17 8 12 68 5 77 11 34 28 1,506 17 8 0 13,481 20 14 274 97 1 5 29 72 16 31 29 88 26 152 12 5 60 28 452 54 0 120 116
Aggravated assault
2 94 0 189 50 480 8 76 9 13 18 2 23 49 11 17 15 30 35 32 2 122 5 123 54 11 0 188 106 69 805 36 130 172 37 116 102 50 39 61 83 84 144 12 84 219 1,740 15 7 2 12,926 115 17 411 302 27 29 23 155 29 76 128 78 43 424 21 9 108 53 962 75 3 99 113
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
208 696 272 2,830 1,708 2,987 77 3,256 243 42 157 126 351 348 442 431 433 495 643 665 92 1,451 90 1,657 1,052 130 14 2,478 2,234 1,080 5,056 296 751 1,620 821 498 591 733 456 406 2,069 399 2,762 613 429 871 12,979 340 293 69 101,457 946 625 1,847 1,272 323 241 1,027 2,647 586 1,182 579 446 560 3,821 344 184 2,104 1,313 12,030 1,126 25 2,346 1,948
Burglary
29 161 109 877 288 851 10 637 86 26 43 15 47 89 92 151 117 144 149 134 8 305 23 344 209 22 3 410 380 264 1,612 87 150 555 155 123 141 121 178 91 385 197 501 137 112 178 2,905 79 147 26 19,629 241 130 395 460 77 70 192 433 134 251 157 90 129 836 120 56 291 205 2,216 187 10 272 482
Larcenytheft
144 267 151 1,377 1,026 1,212 60 2,404 101 9 104 99 223 189 267 259 258 320 458 490 74 932 59 965 765 98 10 1,631 1,355 648 2,599 179 388 943 620 214 233 521 235 219 1,518 146 1,739 330 265 637 7,214 226 138 40 58,304 599 456 503 595 224 159 785 1,845 376 716 337 168 381 2,531 181 114 1,539 1,007 7,850 800 7 1,683 912
Motor vehicle theft
35 268 12 576 394 924 7 215 56 7 10 12 81 70 83 21 58 31 36 41 10 214 8 348 78 10 1 437 499 168 845 30 213 122 46 161 217 91 43 96 166 56 522 146 52 56 2,860 35 8 3 23,524 106 39 949 217 22 12 50 369 76 215 85 188 50 454 43 14 274 101 1,964 139 8 391 554
Arson1
1 10 1 2 4 16 1 53 0 2 0 4 4 4 0 12 7 4 0 5 2 2 25 4 0 8 8 14 89
6 5 5 4 6 1 31 3 3 4 4 4 123 5 1 2 2,207 0 29 35 0 6 1 2 28 0 1 1 1 63 4 1 11 14 129 4 1 4 43
102
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Monterey .................................. Monterey Park......................... Monte Sereno .......................... Moorpark ................................. Moraga...................................... Moreno Valley ......................... Morgan Hill.............................. Morro Bay ................................ Mountain View ........................ Mount Shasta ........................... Murrieta.................................... Napa.......................................... National City............................ Needles ..................................... Nevada City.............................. Newark ..................................... Newman.................................... Newport Beach ........................ Norco ........................................ Norwalk .................................... Novato ...................................... Oakdale .................................... Oakland .................................... Oakley....................................... Oceanside ................................. Ojai............................................ Ontario ..................................... Orange ...................................... Orinda....................................... Orland....................................... Oroville..................................... Oxnard...................................... Pacifica...................................... Pacific Grove............................ Palmdale ................................... Palm Desert.............................. Palm Springs ............................ Palo Alto................................... Palos Verdes Estates ............... Paradise .................................... Paramount................................ Parlier ....................................... Pasadena................................... Paso Robles.............................. Patterson................................... Perris ......................................... Petaluma................................... Pico Rivera............................... Piedmont .................................. Pinole ........................................ Pismo Beach............................. Pittsburg ................................... Placentia ................................... Placerville ................................. Pleasant Hill............................. Pleasanton ................................ Pomona ..................................... Porterville ................................. Port Hueneme.......................... Poway........................................ Rancho Cucamonga ................ Rancho Mirage ........................ Rancho Palos Verdes .............. Rancho Santa Margarit........... Red Bluff .................................. Redding .................................... Redlands................................... Redondo Beach ....................... Redwood City .......................... Reedley..................................... Rialto ........................................ Richmond ................................. Ridgecrest................................. Rio Dell .................................... 1 The
Population
28,674 62,472 3,539 36,255 17,034 190,248 36,415 10,100 69,999 3,584 98,051 75,266 61,996 5,397 3,014 41,781 10,436 80,377 27,469 105,330 52,067 19,890 396,541 29,302 166,424 7,861 175,537 135,818 18,449 7,168 13,579 186,367 37,176 14,772 142,122 47,903 48,542 57,696 13,828 26,381 56,508 13,391 145,553 28,490 19,620 54,029 54,624 64,452 10,478 18,844 8,369 63,913 50,428 10,142 33,233 66,707 155,161 46,621 21,804 48,105 177,683 17,293 41,845 51,023 14,111 91,328 71,358 67,909 73,435 23,098 100,451 102,471 26,351 3,174
Violent crime
166 196 2 41 15 1,024 84 21 238 8 118 288 424 29 10 224 36 172 95 607 157 49 7,605 117 910 10 854 266 13 30 198 845 74 23 1,043 92 307 64 4 55 483 124 744 106 52 338 226 256 10 112 22 250 90 71 125 63 1,235 289 93 102 376 27 41 30 137 455 303 205 336 136 747 1,220 152 9
Murder and nonnegligent manslaughter 0 2 0 0 0 13 0 0 1 0 3 3 6 0 0 0 0 1 1 6 0 0 120 0 3 0 15 1 0 0 1 9 0 1 11 2 5 1 0 0 12 0 11 0 0 5 1 8 0 3 1 8 1 0 1 0 27 7 1 0 3 0 1 0 1 0 0 0 1 0 15 47 0 0
Forcible rape
17 3 0 4 4 66 14 3 8 0 8 16 19 0 1 11 3 4 9 14 15 5 299 9 51 2 46 8 2 1 19 33 9 4 34 16 15 1 0 14 11 4 33 12 5 15 14 10 0 2 4 7 1 7 10 8 32 14 6 7 19 3 3 2 8 84 17 13 22 8 25 31 23 1
Robbery
34 126 0 12 1 461 23 2 56 0 46 58 180 1 0 84 5 53 28 211 38 17 3,470 24 257 3 351 116 8 4 23 453 23 4 360 48 121 44 0 6 198 29 303 13 12 125 40 95 10 47 5 159 19 6 48 19 485 72 17 19 118 13 8 8 8 100 114 85 86 17 288 492 16 3
Aggravated assault
115 65 2 25 10 484 47 16 173 8 61 211 219 28 9 129 28 114 57 376 104 27 3,716 84 599 5 442 141 3 25 155 350 42 14 638 26 166 18 4 35 262 91 397 81 35 193 171 143 0 60 12 76 69 58 66 36 691 196 69 76 236 11 29 20 120 271 172 107 227 111 419 650 113 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
1,277 1,290 48 579 255 6,371 887 153 1,519 103 1,955 2,351 2,169 192 61 1,721 330 2,228 942 2,631 1,192 1,041 23,664 738 4,588 253 5,850 3,049 308 198 1,028 4,275 626 388 4,302 2,914 3,519 1,440 163 755 1,936 439 4,304 931 610 2,270 1,034 1,559 207 792 355 2,402 710 235 1,607 1,294 5,211 2,349 398 751 3,930 1,067 537 538 676 2,645 2,505 1,634 1,689 699 2,281 5,507 621 65
Burglary
228 273 19 111 43 1,945 165 39 157 22 483 463 379 58 23 311 80 645 232 511 219 270 4,742 191 839 41 970 458 89 60 270 866 100 146 1,182 847 1,128 283 47 175 415 95 825 194 158 687 180 250 44 168 54 456 165 68 218 152 972 538 95 183 734 290 153 103 178 633 589 325 197 127 727 1,265 221 14
Larcenytheft
962 766 26 432 193 3,237 632 97 1,224 74 1,195 1,677 842 115 34 1,178 201 1,429 627 1,340 825 665 8,954 393 3,102 206 3,551 2,158 202 120 591 2,869 458 222 2,446 1,837 1,975 1,085 108 531 843 255 2,993 659 350 981 765 839 108 445 276 1,250 444 143 1,187 1,009 3,085 1,491 237 475 2,637 703 347 395 439 1,730 1,554 1,165 1,271 431 703 1,933 359 40
Motor vehicle theft
87 251 3 36 19 1,189 90 17 138 7 277 211 948 19 4 232 49 154 83 780 148 106 9,968 154 647 6 1,329 433 17 18 167 540 68 20 674 230 416 72 8 49 678 89 486 78 102 602 89 470 55 179 25 696 101 24 202 133 1,154 320 66 93 559 74 37 40 59 282 362 144 221 141 851 2,309 41 11
Arson1
0 1 2 3 16 9 12 0 3 10 8 14 0 0 9 3 26 8 287 10 31 0 52 46 3 1 3 72 7 0 46 11 15 6 9 16 19 23 3 6 10 11 19 2 2 0 4 14 2 12 4 22 5 4 3 22 0 7 1 4 20 25 4 4 20 20 45 4 1
SECTION II: OFFENSES REPORTED 103 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Rio Vista3.................................. Ripon ........................................ Riverbank................................. Riverside .................................. Rocklin ..................................... Rohnert Park ........................... Rolling Hills ............................. Rolling Hills Estates ............... Rosemead................................. Roseville ................................... Ross........................................... Sacramento............................... Salinas ....................................... San Anselmo ............................ San Bernardino........................ San Bruno................................. San Carlos ................................ San Clemente........................... Sand City .................................. San Diego ................................. San Dimas ................................ San Francisco ........................... San Gabriel .............................. Sanger ....................................... San Jacinto................................ San Jose .................................... San Juan Capistrano................ San Leandro............................. San Luis Obispo ...................... San Marcos............................... San Marino............................... San Mateo ................................ San Pablo.................................. San Rafael ................................ San Ramon............................... Santa Ana ................................. Santa Barbara .......................... Santa Clara............................... Santa Clarita ............................ Santa Cruz ................................ Santa Fe Springs ...................... Santa Maria .............................. Santa Monica ........................... Santa Paula............................... Santa Rosa ............................... Santee ....................................... Saratoga.................................... Sausalito ................................... Scotts Valley ............................. Seal Beach ................................ Seaside ...................................... Sebastopol ................................ Selma......................................... Shafter....................................... Sierra Madre ............................ Signal Hill................................. Simi Valley................................ Solana Beach ........................... Soledad3 .................................... Solvang ..................................... Sonoma ..................................... Sonora....................................... South El Monte ....................... South Gate ............................... South Lake Tahoe.................... South Pasadena ....................... South San Francisco ................ Stallion Springs ........................ Stanton...................................... St. Helena ................................. Stockton.................................... Suisun City ............................... Sunnyvale ................................. Susanville.................................. 1 The 3 The
Population
7,778 14,683 21,096 299,312 52,328 41,043 1,941 8,136 55,187 111,497 2,296 460,546 145,251 11,995 200,810 39,960 26,902 62,723 307 1,261,196 35,809 733,799 41,186 24,769 37,056 934,553 34,976 77,785 42,781 80,050 13,112 91,441 31,143 55,987 50,295 340,223 85,142 109,420 170,429 54,626 17,207 85,782 88,584 28,518 154,953 52,465 30,067 7,188 11,114 24,383 34,204 7,523 23,175 15,215 11,031 11,270 122,677 12,601 28,431 5,091 9,981 4,679 21,696 98,701 23,872 24,967 61,458 1,643 37,666 5,899 297,170 27,010 130,326 18,192
Violent crime
36 64 1,893 101 238 0 18 252 387 0 5,128 1,154 26 2,150 108 35 83 8 6,332 82 6,414 195 91 158 3,759 67 547 168 287 16 306 314 280 54 1,947 445 231 372 481 137 604 596 99 771 147 29 5 11 37 218 7 89 68 23 60 181 26 12 33 15 144 577 163 36 177 0 169 8 4,216 144 154 68
Murder and nonnegligent manslaughter 0 0 1 12 1 1 0 0 1 1 0 44 14 0 45 0 0 1 0 59 0 100 0 4 0 33 1 0 3 2 0 0 6 0 0 23 2 3 1 1 2 3 2 0 4 0 0 0 0 0 1 0 0 1 0 0 2 0 1 0 0 0 1 9 1 0 0 0 2 0 29 0 2 0
Forcible rape
0 2 2 91 9 16 0 1 4 31 0 194 51 3 74 9 1 6 2 296 2 125 5 4 10 217 5 12 27 12 0 19 5 28 2 65 44 32 22 28 5 39 30 7 65 12 2 1 2 2 11 1 5 7 4 3 20 2 1 1 2 1 2 17 12 9 12 0 6 0 105 11 15 6
Robbery
3 5 23 686 24 23 0 9 140 100 0 2,009 378 1 862 29 7 21 2 2,095 23 3,771 118 12 49 1,068 17 308 39 101 7 100 167 80 15 779 96 73 112 117 66 139 236 28 136 23 3 0 1 10 53 3 26 4 0 20 63 10 8 2 6 3 43 321 25 24 73 0 85 0 1,615 42 62 8
Aggravated assault
29 38 1,104 67 198 0 8 107 255 0 2,881 711 22 1,169 70 27 55 4 3,882 57 2,418 72 71 99 2,441 44 227 99 172 9 187 136 172 37 1,080 303 123 237 335 64 423 328 64 566 112 24 4 8 25 153 3 58 56 19 37 96 14 9 25 11 98 230 125 3 92 0 76 8 2,467 91 75 54
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
Property crime
118 383 837 11,154 1,096 953 9 183 1,393 3,960 20 24,399 6,878 281 10,090 822 451 779 128 44,167 898 34,456 770 697 1,215 24,062 490 3,978 1,846 1,669 267 2,073 1,693 1,763 1,052 7,797 2,277 3,430 3,782 2,432 1,515 2,616 3,108 717 3,732 1,140 300 173 269 406 712 193 1,065 610 170 455 2,383 271 459 78 252 399 641 2,921 603 436 1,567 21 738 89 18,677 733 2,629 380
Burglary
44 42 198 2,227 217 219 1 53 408 648 6 5,422 1,205 61 2,129 92 87 195 9 7,679 215 5,079 217 153 289 4,449 116 791 312 414 77 241 348 340 194 1,013 576 553 764 410 304 513 682 142 726 206 87 39 51 77 126 34 158 221 30 80 432 74 174 33 57 60 157 456 238 167 392 2 183 18 4,054 176 372 93
Larcenytheft
61 313 500 7,081 784 647 6 126 708 2,905 14 12,904 3,332 212 5,358 583 327 515 118 23,264 603 23,474 466 427 728 13,200 320 1,935 1,450 937 184 1,610 708 1,103 773 4,684 1,536 2,420 2,602 1,847 879 1,622 2,099 498 2,634 662 199 119 212 282 505 148 680 301 133 311 1,729 146 224 40 182 316 278 1,090 313 179 936 15 409 69 11,783 443 1,896 265
Motor vehicle theft
13 28 139 1,846 95 87 2 4 277 407 0 6,073 2,341 8 2,603 147 37 69 1 13,224 80 5,903 87 117 198 6,413 54 1,252 84 318 6 222 637 320 85 2,100 165 457 416 175 332 481 327 77 372 272 14 15 6 47 81 11 227 88 7 64 222 51 61 5 13 23 206 1,375 52 90 239 4 146 2 2,840 114 361 22
Arson1
0
103 14 12 0 1 3 9 281 37 2 81 2 8 12 0 200 9 232 9 4 339 9 15
0 20 5 17 3 120 13 26 33 12 13 0 21 5 5 0 3 3 3 32 0 1 9 2 3 0 4 1 4 23 1 4 26 0 16 1 47 6 16 2
104
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
COLORADO
1 The 5 The
City
Sutter Creek............................. Taft ............................................ Temecula................................... Temple City .............................. Thousand Oaks........................ Tiburon ..................................... Torrance.................................... Tracy.......................................... Trinidad .................................... Truckee ..................................... Tulare5 ....................................... Tulelake .................................... Turlock...................................... Tustin ........................................ Twentynine Palms ................... Twin Cities................................ Ukiah ........................................ Union City................................ Upland ...................................... Vacaville ................................... Vallejo ....................................... Ventura ..................................... Vernon ...................................... Victorville................................. Villa Park.................................. Visalia ....................................... Vista .......................................... Walnut....................................... Walnut Creek ........................... Waterford ................................. Watsonville............................... Weed ......................................... West Covina ............................. West Hollywood ...................... Westlake Village ...................... Westminster ............................. Westmorland ............................ West Sacramento ..................... Wheatland ................................ Whittier..................................... Williams .................................... Willits ........................................ Willows ..................................... Windsor .................................... Winters...................................... Woodlake ................................. Woodland ................................. Yorba Linda ............................. Yountville ................................. Yreka ........................................ Yuba City.................................. Yucaipa ..................................... Yucca Valley ............................. Alamosa.................................... Arvada ...................................... Aspen........................................ Ault ........................................... Aurora....................................... Avon.......................................... Basalt ........................................ Bayfield..................................... Berthoud .................................. Black Hawk.............................. Boulder ..................................... Bow Mar................................... Breckenridge............................ Brighton.................................... Broomfield ............................... Brush......................................... Buena Vista .............................. Burlington ................................ Campo....................................... Canon City ............................... Carbondale...............................
Population
2,851 9,198 93,665 38,546 125,196 8,721 142,970 84,151 314 16,404 53,352 982 70,386 69,945 30,832 21,050 15,367 69,769 74,049 93,167 116,763 104,523 91 104,872 6,028 116,766 89,851 31,470 63,568 9,120 49,031 3,050 108,097 36,604 8,613 89,700 2,242 46,245 3,824 84,038 4,895 5,051 6,304 25,633 6,817 7,435 51,355 66,252 3,312 7,536 61,881 51,624 20,865 8,714 105,197 5,700 1,419 307,621 6,517 3,093 1,823 5,142 106 91,047 807 2,822 31,215 46,393 5,216 2,149 3,454 131 16,198 6,128
Violent crime
16 38 207 85 146 6 343 136 0 59 432 1 499 137 96 19 134 449 291 263 1,089 368 46 660 4 667 526 56 90 40 397 22 392 338 13 355 3 371 5 340 17 45 31 87 13 37 154 44 5 54 245 52 74 57 217 27 8 1,687 23 3 1 5 3 219 0 12 80 46 16 2 9 0 120 12
Murder and nonnegligent manslaughter 0 0 5 1 2 0 2 2 0 0 7 0 0 2 0 0 0 5 3 5 15 1 0 9 0 12 4 2 2 0 1 1 2 1 0 2 0 0 0 4 1 2 0 0 0 0 1 0 0 1 2 2 1 1 6 0 0 14 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0
Forcible rape
2 3 12 6 19 0 21 2 0 1 30 0 14 17 8 2 14 19 15 26 26 27 0 30 1 38 25 2 3 1 17 6 21 19 1 22 0 21 0 12 2 4 5 7 4 2 23 7 1 5 24 9 4 11 29 3 0 191 1 0 0 0 0 37 0 4 22 11 0 0 3 0 27 3
Robbery
0 5 81 35 38 1 213 71 0 7 75 0 132 64 15 14 20 186 105 83 361 151 32 264 1 155 170 22 36 3 110 4 178 141 4 124 1 76 1 145 2 7 3 8 1 7 62 10 0 4 54 16 7 16 46 1 0 583 5 0 0 0 1 27 0 0 11 11 1 0 0 0 1 0
Aggravated assault
14 30 109 43 87 5 107 61 0 51 320 1 353 54 73 3 100 239 168 149 687 189 14 357 2 462 327 30 49 36 269 11 191 177 8 207 2 274 4 179 12 32 23 72 8 28 68 27 4 44 165 25 62 29 136 23 8 899 17 3 1 5 2 154 0 8 47 24 15 2 6 0 90 9
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency's data were underreported. Consequently, affected data are not included in this table.
Property crime
102 404 2,654 697 1,942 129 3,187 2,538 35 312 10 3,583 1,575 493 555 474 2,022 2,731 2,036 6,063 3,827 448 4,039 115 5,204 2,149 550 2,586 272 2,276 127 3,865 1,430 168 2,657 21 1,386 87 2,328 99 92 239 329 227 224 1,807 1,031 58 297 1,913 914 563 565 2,590 335 63 11,790 204 8 28 86 127 2,410 11 171 1,109 1,250 122 12 117 0 614 141
Burglary
27 84 667 276 424 15 476 352 13 81 583 5 827 288 177 148 174 431 551 289 1,455 746 70 1,281 23 1,109 594 179 506 63 284 41 680 229 35 533 11 403 34 416 49 44 52 74 37 39 467 173 11 65 322 250 164 79 423 34 9 2,321 32 0 9 14 2 404 4 5 145 135 19 1 17 0 88 17
Larcenytheft
70 297 1,688 364 1,407 104 2,250 1,863 22 213 1,469 4 1,964 1,106 267 349 255 1,089 1,813 1,473 3,154 2,733 213 2,099 91 3,338 1,038 308 1,875 177 1,770 76 2,409 1,032 127 1,766 9 682 42 1,489 44 38 175 221 170 126 1,094 802 46 218 1,361 504 297 475 1,929 285 46 7,750 161 7 18 68 123 1,910 7 157 869 1,047 101 11 98 0 501 114
Motor vehicle theft
5 23 299 57 111 10 461 323 0 18 1 792 181 49 58 45 502 367 274 1,454 348 165 659 1 757 517 63 205 32 222 10 776 169 6 358 1 301 11 423 6 10 12 34 20 59 246 56 1 14 230 160 102 11 238 16 8 1,719 11 1 1 4 2 96 0 9 95 68 2 0 2 0 25 10
Arson1
0 7 6 4 14 0 16 24 0 7 100 2 19 9 2 4 22 8 37 96 27 2 16 0 19 6 5 1 11 0 4 7 1 25 0 21 0
0 3 0 7 28 9 0 2 10 3 8 3 25 0 2 83 0 0 1 1 1 40 1 0 5 14 0 0 0 0 2 1
SECTION II: OFFENSES REPORTED 105 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Castle Rock .............................. Cedaredge ................................ Centennial ................................ Center ....................................... Central City.............................. Cherry Hills Village................. Colorado Springs..................... Columbine Valley .................... Commerce City........................ Cortez ....................................... Craig.......................................... Crested Butte........................... Cripple Creek .......................... Dacono ..................................... De Beque.................................. Delta ......................................... Denver ...................................... Dillon ........................................ Durango.................................... Eagle ......................................... Eaton......................................... Edgewater ................................ Elizabeth................................... Empire ...................................... Englewood ............................... Erie............................................ Estes Park................................. Evans ........................................ Federal Heights ....................... Firestone................................... Florence.................................... Fort Collins............................... Fort Lupton .............................. Fort Morgan ............................. Fraser/Winter Park.................. Frederick .................................. Frisco......................................... Fruita......................................... Glendale ................................... Glenwood Springs ................... Golden ...................................... Grand Junction ........................ Greeley ..................................... Green Mountain Falls ............. Greenwood Village ................. Gunnison .................................. Haxtun ...................................... Hayden ..................................... Holyoke .................................... Hotchkiss.................................. Idaho Springs ........................... Ignacio ...................................... Johnstown................................. Kersey ....................................... Kiowa........................................ Lafayette................................... La Junta .................................... Lakeside ................................... Lakewood................................. Lamar........................................ La Salle ..................................... Las Animas............................... La Veta...................................... Leadville................................... Limon........................................ Littleton.................................... Log Lane Village ..................... Lone Tree ................................. Louisville .................................. Loveland................................... Mancos...................................... Manitou Springs ...................... Meeker...................................... Milliken .................................... 1 The
Population
43,523 2,270 97,746 2,452 514 6,218 374,112 1,274 42,386 8,513 9,262 1,557 1,062 3,865 485 8,473 573,387 777 15,785 5,275 4,281 5,117 1,509 332 32,362 15,759 6,078 19,420 11,697 8,463 3,692 130,935 7,464 10,774 1,621 8,541 2,509 7,115 4,800 8,904 17,244 47,235 90,707 794 13,744 5,296 1,000 1,521 2,297 1,099 1,779 624 9,021 1,421 609 24,340 7,198 19 139,407 8,287 1,927 2,503 883 2,690 1,785 40,343 1,009 9,349 18,335 62,586 1,242 5,085 2,309 6,380
Violent crime
20 1 180 7 1 8 1,985 0 160 21 33 0 13 3 1 44 3,552 1 74 3 2 14 2 2 149 3 1 40 55 11 13 418 13 27 15 42 6 30 32 41 25 290 423 11 19 21 2 2 2 5 4 6 18 1 2 69 30 0 619 24 15 3 1 22 1 67 0 16 22 114 17 14 12 2
Murder and nonnegligent manslaughter 0 0 0 0 0 0 27 0 3 0 0 0 0 0 0 1 47 0 1 0 0 0 0 0 2 0 0 1 0 0 0 1 0 0 0 1 0 0 1 1 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0
Forcible rape
3 0 34 0 1 3 285 0 12 0 5 0 1 0 0 2 296 0 24 1 0 5 0 0 7 1 0 2 12 3 1 70 0 4 1 2 0 3 3 6 1 36 50 1 1 3 0 1 0 0 0 0 0 0 0 4 3 0 83 1 1 1 0 0 0 13 0 1 0 17 0 1 0 1
Robbery
2 0 36 0 0 0 528 0 29 0 5 0 0 0 0 0 1,045 0 6 0 0 4 0 0 47 0 0 7 19 0 0 33 1 4 1 1 0 3 17 3 1 31 48 0 9 6 0 0 0 1 1 0 1 0 0 9 5 0 152 3 0 0 0 0 0 20 0 6 1 17 2 2 0 0
Aggravated assault
15 1 110 7 0 5 1,145 0 116 21 23 0 12 3 1 41 2,164 1 43 2 2 5 2 2 93 2 1 30 24 8 12 314 12 19 13 38 6 24 11 31 23 223 321 10 9 12 2 1 2 4 3 6 16 1 2 55 22 0 383 20 14 1 1 22 1 34 0 9 21 79 15 11 12 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
539 35 1,604 33 25 112 16,554 5 1,526 318 231 44 63 63 22 236 22,409 33 916 121 36 347 47 5 2,830 109 135 430 464 200 90 4,476 190 383 108 126 52 184 425 468 446 2,532 3,566 31 702 394 0 56 12 26 61 3 131 32 16 464 281 57 5,937 411 44 51 1 47 21 1,253 8 564 284 1,734 26 199 40 89
Burglary
137 13 356 13 0 29 3,179 2 377 20 46 4 7 10 8 51 5,694 1 89 23 13 34 15 1 529 37 23 81 53 47 11 695 33 71 25 27 9 33 34 82 50 327 703 11 144 95 0 7 2 5 5 2 26 2 5 92 50 5 954 67 6 8 1 10 2 220 2 42 64 251 8 32 6 17
Larcenytheft
383 22 1,119 18 23 81 11,888 1 940 288 175 39 52 42 13 170 11,594 30 778 86 23 278 24 4 2,005 63 108 306 333 137 72 3,487 142 301 77 90 43 138 334 360 362 2,033 2,610 19 520 285 0 47 10 20 53 1 92 24 10 349 218 51 4,121 337 36 37 0 36 16 881 6 494 203 1,408 16 157 29 62
Motor vehicle theft
19 0 129 2 2 2 1,487 2 209 10 10 1 4 11 1 15 5,121 2 49 12 0 35 8 0 296 9 4 43 78 16 7 294 15 11 6 9 0 13 57 26 34 172 253 1 38 14 0 2 0 1 3 0 13 6 1 23 13 1 862 7 2 6 0 1 3 152 0 28 17 75 2 10 5 10
Arson1
7 0 36 0 0 0 109 0 6 0 3 0 1 0 0 1 178 1 4 0 0 2 0 0 9 4 2 6 0 4 0 23 6 6 2 1 2 6 0 3 7 35 17 1 5 0 0 3 0 0 1 1 0 0 0 9 3 0 10 0 0 2 0 0 0 6 0 2 8 25 0 1 0 0
106
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
CONNECTICUT
1 The
City
Minturn..................................... Monte Vista.............................. Montrose .................................. Monument................................ Morrison ................................... Mountain View ........................ Mount Crested Butte .............. Nederland................................. New Castle ............................... Northglenn ............................... Olathe ....................................... Pagosa Springs ......................... Parachute.................................. Parker ....................................... Platteville.................................. Pueblo ....................................... Rangely..................................... Rocky Ford............................... Salida ........................................ Sheridan.................................... Silt ............................................. Silverthorne.............................. Snowmass Village .................... South Fork................................ Springfield ................................ Steamboat Springs................... Sterling...................................... Telluride.................................... Thornton................................... Trinidad .................................... Vail ............................................ Victor ........................................ Walsenburg............................... Walsh......................................... Westminster ............................. Wheat Ridge ............................ Wiggins ..................................... Windsor .................................... Woodland Park ........................ Wray.......................................... Yuma......................................... Ansonia .................................... Avon.......................................... Berlin ........................................ Bethel........................................ Bloomfield................................ Branford ................................... Bridgeport ................................ Bristol ....................................... Brookfield ................................ Canton ...................................... Cheshire.................................... Clinton ...................................... Coventry ................................... Cromwell .................................. Danbury.................................... Darien ....................................... Derby ........................................ East Hampton.......................... East Hartford........................... East Haven............................... Easton ....................................... East Windsor............................ Enfield ...................................... Fairfield..................................... Farmington ............................... Glastonbury ............................. Granby...................................... Greenwich ................................ Groton ...................................... Groton Long Point .................. Groton Town............................ Guilford .................................... Hamden ....................................
Population
1,141 4,102 17,024 2,633 405 517 772 1,323 3,526 33,226 1,739 1,699 1,217 44,624 2,646 103,958 2,089 4,096 5,394 5,443 2,516 3,812 1,732 552 1,323 9,233 12,549 2,274 113,289 9,135 4,622 419 3,914 661 106,383 30,718 960 17,031 6,747 2,156 3,245 18,620 17,526 20,380 18,670 20,759 29,074 137,655 61,292 16,498 10,252 28,868 13,695 12,292 13,612 79,893 20,501 12,465 12,666 48,752 28,755 7,455 10,650 45,229 57,889 25,190 33,179 11,285 62,196 9,314 669 29,377 22,462 57,982
Violent crime
1 21 56 6 5 4 2 10 11 94 2 4 6 35 21 725 3 28 15 21 15 6 0 0 0 58 33 7 380 51 9 1 20 0 221 143 0 4 16 0 5 38 3 13 6 54 31 1,603 187 3 3 9 15 8 20 146 3 24 3 221 42 2 26 62 33 19 23 9 25 16 1 21 19 121
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 1 0 0 2 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 14 0 0 0 2 0 0 0 2 0 0 0 3 0 0 1 3 0 0 0 0 1 0 0 0 0 1
Forcible rape
0 2 4 0 0 0 0 0 0 9 1 0 0 6 0 43 0 2 2 3 2 2 0 0 0 2 7 0 72 2 0 0 1 0 22 28 0 2 2 0 0 3 0 1 2 9 6 77 12 0 2 1 5 1 3 20 0 2 0 15 6 0 4 9 2 0 2 6 1 5 0 1 5 13
Robbery
0 0 5 2 0 2 0 0 0 17 0 1 2 9 0 206 0 1 0 7 0 0 0 0 0 1 4 0 50 2 0 0 0 0 48 33 0 0 1 0 0 21 1 4 1 13 9 675 65 2 0 2 3 0 10 75 1 11 2 100 26 0 15 22 14 12 4 2 4 2 0 9 2 63
Aggravated assault
1 19 47 4 5 2 2 10 11 65 1 3 4 20 21 470 3 25 13 11 13 4 0 0 0 54 22 7 256 46 9 1 19 0 151 82 0 2 12 0 5 14 2 8 3 32 16 837 110 1 1 4 7 7 7 49 2 11 1 103 10 2 6 28 17 7 17 1 19 9 1 11 12 44
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
15 109 724 137 20 19 50 20 76 1,237 27 96 42 687 43 6,613 26 94 171 331 43 84 59 8 0 468 355 174 3,996 249 281 9 122 0 3,474 1,393 0 310 104 2 80 376 190 410 108 577 780 6,577 1,548 170 133 271 256 156 315 1,482 206 471 181 1,614 743 28 357 997 983 629 404 123 446 191 11 576 351 1,396
Burglary
0 23 124 31 4 7 3 7 8 215 4 17 11 120 8 1,499 2 24 11 56 13 7 4 4 0 57 73 13 740 82 25 0 32 0 454 225 0 48 14 0 8 38 11 89 22 82 98 1,201 402 34 23 62 29 54 42 275 31 100 26 349 123 7 52 157 174 73 81 14 71 30 2 168 52 192
Larcenytheft
14 83 579 101 16 9 47 11 65 877 18 78 26 531 29 4,526 22 67 151 226 26 77 52 4 0 391 260 155 2,817 152 245 9 85 0 2,521 988 0 240 87 2 65 287 178 299 84 440 628 4,223 1,046 128 105 196 216 94 256 1,069 162 326 149 1,030 513 18 266 773 753 535 303 104 350 151 8 385 284 1,067
Motor vehicle theft
1 3 21 5 0 3 0 2 3 145 5 1 5 36 6 588 2 3 9 49 4 0 3 0 0 20 22 6 439 15 11 0 5 0 499 180 0 22 3 0 7 51 1 22 2 55 54 1,153 100 8 5 13 11 8 17 138 13 45 6 235 107 3 39 67 56 21 20 5 25 10 1 23 15 137
Arson1
0 3 11 2 0 1 0 0 0 2 0 1 1 12 0 52 0 2 2 3 2 2 0 0 0 2 4 1 28 2 2 0 1 0 19 12 0 6 0 0 0 0 0 0 1 3 6 43 4 0 0 1 1 1 2 3 0 0 0 12 2 0 9 5 0 2 1 0 2 1 0 2 0 4
SECTION II: OFFENSES REPORTED 107 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
DELAWARE
1 The
City
Hartford.................................... Madison .................................... Manchester............................... Meriden .................................... Middlebury............................... Middletown .............................. Milford...................................... Monroe ..................................... Naugatuck ................................ New Britain .............................. New Canaan............................. Newington ................................ New Milford............................. Newtown................................... North Branford........................ North Haven ............................ Norwalk .................................... Norwich .................................... Old Saybrook........................... Orange ...................................... Plainfield .................................. Plainville ................................... Portland .................................... Putnam...................................... Redding .................................... Ridgefield ................................. Rocky Hill ................................ Seymour.................................... Shelton...................................... Simsbury ................................... Southington.............................. South Windsor ......................... Stamford ................................... Stonington ................................ Stratford ................................... Suffield...................................... Torrington ................................ Trumbull ................................... Vernon ...................................... Wallingford............................... Waterbury................................. Waterford ................................. Watertown ................................ West Hartford .......................... West Haven .............................. Weston ...................................... Westport ................................... Wethersfield ............................. Willimantic ............................... Wilton ....................................... Winchester................................ Windsor .................................... Windsor Locks ......................... Wolcott ..................................... Woodbridge.............................. Bethany Beach......................... Blades ....................................... Bridgeville ................................ Camden..................................... Cheswold .................................. Clayton ..................................... Dagsboro .................................. Delaware City .......................... Delmar...................................... Dewey Beach ........................... Dover ........................................ Ellendale .................................. Elsmere..................................... Felton ........................................ Fenwick Island ......................... Georgetown ............................. Greenwood .............................. Harrington................................ Laurel........................................
Population
124,558 18,873 55,774 59,607 7,232 47,743 55,404 19,599 31,994 70,630 20,009 29,567 28,890 27,262 14,527 24,168 84,343 36,353 10,597 13,942 15,538 17,294 9,707 9,352 8,990 24,040 18,923 16,327 40,425 23,674 42,522 26,214 119,510 18,261 49,440 15,334 35,997 35,055 29,843 44,979 107,241 18,780 22,419 60,644 52,770 10,277 26,704 25,977 16,272 17,879 10,888 28,712 12,475 16,419 9,261 947 1,006 1,597 2,484 460 1,438 566 1,520 1,498 313 35,133 348 5,721 857 359 4,964 891 3,276 3,842
Violent crime
1,411 10 111 173 2 48 91 6 21 324 3 21 21 7 14 30 343 170 1 8 21 24 4 22 1 3 17 45 24 6 52 23 336 3 116 2 53 22 61 33 390 37 45 83 226 1 17 29 51 11 13 24 20 4 1 3 0 20 15 3 4 0 4 5 17 277 0 54 2 1 94 2 28 72
Murder and nonnegligent manslaughter 31 0 1 0 0 0 0 0 1 1 0 0 1 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 2 0 3 0 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0
Forcible rape
58 0 6 6 0 0 4 2 2 6 0 6 3 4 0 1 13 20 0 0 4 0 0 3 1 0 0 8 4 0 15 5 33 0 3 0 10 3 4 12 18 4 0 2 1 0 0 3 8 0 3 3 5 2 0 0 0 0 1 0 0 0 1 0 1 16 0 2 0 0 8 0 3 8
Robbery
642 0 46 106 0 25 41 2 5 200 3 15 4 0 0 22 120 47 0 7 2 13 4 6 0 1 5 1 12 3 18 5 129 0 58 1 12 14 20 7 202 7 7 53 68 0 7 12 34 6 3 9 1 2 1 0 0 4 5 2 0 0 1 1 0 62 0 13 0 0 42 0 4 22
Aggravated assault
680 10 58 61 2 23 46 2 13 117 0 0 13 3 14 7 207 103 1 1 14 11 0 13 0 2 12 36 8 3 19 12 171 3 55 1 31 5 35 14 167 26 38 27 156 1 10 13 9 5 7 11 14 0 0 3 0 16 9 1 4 0 2 4 16 198 0 38 2 1 43 2 21 42
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
7,206 174 1,978 2,093 69 1,267 1,900 190 621 3,645 182 1,046 309 161 200 593 1,872 953 237 480 111 604 91 217 49 93 319 224 521 241 864 516 1,882 341 1,539 187 640 634 331 829 5,703 557 360 1,468 1,856 52 352 580 492 120 241 576 211 312 101 142 5 64 175 22 33 26 63 61 53 1,861 0 190 14 14 243 19 125 174
Burglary
1,168 34 218 459 12 179 214 36 80 809 29 333 69 32 37 85 284 242 16 43 38 77 21 29 13 15 32 48 100 31 166 88 332 6 209 72 120 43 87 119 872 54 44 241 233 4 58 65 144 16 61 45 38 58 9 9 2 13 15 6 6 4 21 14 11 111 0 41 4 1 81 7 46 26
Larcenytheft
4,437 130 1,637 1,448 56 966 1,588 125 491 2,266 150 640 218 126 161 470 1,378 626 220 423 60 495 67 180 34 76 257 161 363 186 648 413 1,316 335 1,128 107 485 537 206 660 4,299 487 289 1,063 1,352 48 281 462 277 102 158 486 142 238 90 133 3 50 157 15 25 21 36 47 42 1,625 0 118 10 13 152 12 72 138
Motor vehicle theft
1,601 10 123 186 1 122 98 29 50 570 3 73 22 3 2 38 210 85 1 14 13 32 3 8 2 2 30 15 58 24 50 15 234 0 202 8 35 54 38 50 532 16 27 164 271 0 13 53 71 2 22 45 31 16 2 0 0 1 3 1 2 1 6 0 0 125 0 31 0 0 10 0 7 10
Arson1
107 0 10 9 0 0 6 0 4 2 1 3 2 1 2 4 8 15 0 0 0 2 0 6 2 0 0 0 1 4 11 0 11 0 2 0 9 0 5 5 2 0 0 1 5 0 0 0 0 0 5 1 0 3 0 0 0 0 1 0 0 0 0 0 0 11 0 0 0 0 0 0 0 1
108
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
DISTRICT OF COLUMBIA FLORIDA
1 The
City
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Lewes ........................................ Milford...................................... Millsboro .................................. Milton ....................................... Newark ..................................... New Castle ............................... Newport.................................... Ocean View .............................. Rehoboth Beach...................... Seaford...................................... Selbyville .................................. Smyrna...................................... South Bethany ......................... Wilmington............................... Wyoming ..................................
3,137 7,995 2,532 1,803 30,158 4,960 1,106 1,109 1,562 7,121 1,761 8,185 516 72,842 1,311
2 95 24 15 180 23 7 4 15 78 8 45 1 1,230 3
0 0 0 0 0 0 0 0 0 1 0 0 0 11 0
0 3 0 2 10 0 0 2 0 2 0 4 0 30 1
1 18 1 5 60 5 4 0 4 28 1 8 0 593 0
1 74 23 8 110 18 3 2 11 47 7 33 1 596 2
56 487 146 94 1,083 257 51 31 245 414 67 292 13 3,388 25
24 78 26 38 200 35 16 12 49 97 22 49 1 954 8
32 388 117 53 814 210 32 18 194 302 44 231 12 1,913 16
0 21 3 3 69 12 3 1 2 15 1 12 0 521 1
0 0 0 0 7 0 0 0 0 0 0 0 0 5 0
Washington............................... Alachua .................................... Altamonte Springs .................. Altha ......................................... Apalachicola ............................ Apopka ..................................... Arcadia ..................................... Astatula .................................... Atlantic Beach ......................... Atlantis ..................................... Auburndale .............................. Aventura................................... Avon Park ................................ Bal Harbour Village ................ Bartow ...................................... Bay Harbor Island................... Belleair ..................................... Belleair Beach.......................... Belleair Bluffs .......................... Belle Glade .............................. Belleview .................................. Biscayne Park .......................... Blountstown ............................. Boca Raton .............................. Bonifay ..................................... Bowling Green......................... Boynton Beach ........................ Bradenton ................................ Bradenton Beach..................... Brooksville ............................... Bunnell ..................................... Bushnell.................................... Cape Coral ............................... Carrabelle................................. Casselberry............................... Cedar Grove ............................ Cedar Key ................................ Center Hill................................ Chattahoochee......................... Chiefland .................................. Chipley...................................... Clearwater................................ Clermont................................... Clewiston.................................. Cocoa ........................................ Cocoa Beach ............................ Coconut Creek......................... Coleman ................................... Cooper City.............................. Coral Gables ............................ Coral Springs ........................... Crescent City............................ Crestview.................................. Cross City ................................. Crystal River ............................ Cutler Bay ................................ Dade City ................................. Dania.........................................
588,292 8,833 40,513 516 2,331 36,895 7,151 1,747 13,256 2,131 13,236 30,782 9,135 3,211 16,594 4,996 4,149 1,611 2,197 15,231 4,074 3,049 2,443 86,868 2,712 2,972 69,469 54,253 1,557 7,651 1,639 2,200 159,936 1,290 24,663 5,201 1,008 1,009 3,807 2,133 3,768 107,501 12,385 7,402 16,704 12,128 51,033 714 30,182 42,794 131,307 1,827 18,753 1,838 3,590 40,468 7,079 29,011
7,924 68 216 0 9 362 73 0 96 5 84 77 137 0 160 12 4 3 4 471 21 15 10 236 6 18 730 530 4 64 56 10 402 15 178 21 8 6 51 27 15 868 115 60 474 146 95 3 98 132 301 26 101 12 45 212 77 274
181 1 4 0 0 2 1 0 0 0 0 0 0 0 1 0 0 0 0 3 0 0 0 5 0 0 6 5 0 0 0 0 5 0 1 0 0 0 0 0 1 10 1 1 4 0 0 0 0 1 3 0 3 0 0 1 0 1
192 3 13 0 0 25 3 0 5 0 6 2 2 0 5 0 0 1 0 10 1 0 0 16 1 0 5 19 0 4 2 1 40 2 12 4 0 0 2 6 0 34 9 1 15 6 5 0 1 8 7 0 13 0 2 5 7 12
3,985 10 66 0 0 132 15 0 27 2 30 49 9 0 37 2 2 0 0 121 1 3 2 83 3 5 199 156 1 12 9 4 97 0 54 2 0 4 1 3 0 240 28 22 119 26 26 0 18 53 89 4 21 4 12 82 10 103
3,566 54 133 0 9 203 54 0 64 3 48 26 126 0 117 10 2 2 4 337 19 12 8 132 2 13 520 350 3 48 45 5 260 13 111 15 8 2 48 18 14 584 77 36 336 114 64 3 79 70 202 22 64 8 31 124 60 158
27,719 412 1,627 6 89 1,663 288 7 507 33 873 1,888 332 73 1,102 84 62 36 44 1,402 323 57 41 3,441 22 75 3,578 2,476 78 332 110 129 5,574 60 1,038 102 5 18 118 78 76 4,678 739 342 1,317 969 1,080 3 702 2,195 3,052 112 770 73 324 2,170 432 1,583
3,920 80 289 2 18 465 106 5 115 10 253 114 116 6 266 32 18 7 7 442 106 37 8 675 10 22 798 593 15 52 23 29 1,483 19 196 28 3 16 40 24 20 862 216 63 447 94 172 1 123 404 478 31 82 20 62 303 109 331
16,476 306 1,157 4 68 1,054 167 2 364 21 584 1,711 216 65 788 42 41 29 36 876 202 15 31 2,596 9 47 2,507 1,674 62 255 75 96 3,787 31 758 48 2 2 72 50 52 3,469 481 245 759 829 820 2 560 1,672 2,330 76 634 53 246 1,710 297 1,046
7,323 26 181 0 3 144 15 0 28 2 36 63 0 2 48 10 3 0 1 84 15 5 2 170 3 6 273 209 1 25 12 4 304 10 84 26 0 0 6 4 4 347 42 34 111 46 88 0 19 119 244 5 54 0 16 157 26 206
63 1 9 0 1 18 4 0 0 0 1 1 2 0 0 0 0 1 0 10 0 0 0 2 0 0 9 13 0 1 0 0 15 1 3 2 0 0 0 1 0 31 7 3 8 1 3 0 8 1 2 0 11 0 4 2 1 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 109 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Davenport ................................ Davie......................................... Daytona Beach ........................ Daytona Beach Shores ........... Deerfield Beach....................... De Funiak Springs................... Deland ...................................... Delray Beach ........................... Doral ......................................... Dundee ..................................... Dunedin.................................... Dunnellon ................................ Eatonville ................................. Edgewater ................................ Edgewood ................................ El Portal.................................... Eustis......................................... Fellsmere .................................. Fernandina Beach ................... Flagler Beach ........................... Florida City .............................. Fort Lauderdale....................... Fort Meade............................... Fort Myers ................................ Fort Pierce ................................ Fort Walton Beach................... Frostproof................................. Fruitland Park.......................... Gainesville................................ Golden Beach .......................... Graceville ................................. Greenacres City....................... Greensboro .............................. Groveland ................................ Gulf Breeze .............................. Gulfport.................................... Gulf Stream.............................. Haines City............................... Hallandale ................................ Hampton................................... Havana...................................... Hialeah ..................................... Hialeah Gardens ..................... Highland Beach ....................... High Springs............................. Hillsboro Beach....................... Holly Hill.................................. Hollywood................................ Holmes Beach.......................... Homestead ............................... Howey-in-the-Hills.................. Hypoluxo.................................. Indialantic ................................ Indian Creek Village ............... Indian Harbour Beach............ Indian River Shores ................ Indian Rocks Beach ................ Indian Shores ........................... Inglis.......................................... Jacksonville .............................. Jacksonville Beach .................. Jennings .................................... Juno Beach ............................... Jupiter ....................................... Jupiter Inlet Colony ................ Jupiter Island ........................... Kenneth City............................ Key Biscayne............................ Key Colony Beach................... Key West................................... Kissimmee ................................ Lady Lake ................................ Lake Alfred .............................. Lake City .................................. 1 The
Population
2,056 87,007 64,236 5,063 76,469 4,987 26,610 65,262 21,356 3,148 36,702 2,016 2,265 21,898 2,084 2,384 18,685 4,850 11,423 2,874 9,704 187,995 5,741 61,810 39,456 19,245 2,915 3,983 108,289 893 2,432 33,042 610 6,519 6,563 12,508 751 18,172 40,147 453 1,703 215,853 19,705 4,106 4,260 2,357 13,510 146,673 5,086 58,074 1,274 2,680 2,997 39 8,516 3,488 5,227 4,292 1,658 797,350 21,801 841 3,395 50,294 392 653 4,356 9,968 787 22,968 62,880 13,838 4,280 12,257
Violent crime
2 336 1,063 45 500 53 167 719 136 13 118 16 44 52 9 15 84 11 53 17 261 1,523 37 921 844 106 20 17 1,122 2 1 233 5 20 7 65 0 96 444 1 12 1,274 56 0 10 1 135 827 8 890 10 5 6 0 20 0 19 12 4 8,146 177 3 7 236 0 0 23 2 0 183 576 28 11 183
Murder and nonnegligent manslaughter 0 1 8 1 4 0 1 3 0 0 1 0 1 0 0 0 0 0 1 1 0 25 0 17 4 0 0 0 5 0 0 1 0 0 0 0 0 1 2 0 0 7 0 0 0 0 0 13 1 7 0 0 0 0 0 0 0 0 0 123 2 0 0 3 0 0 0 0 0 1 4 0 0 0
Forcible rape
0 22 48 0 26 2 4 22 8 1 12 2 1 4 0 0 5 0 7 1 4 56 1 26 45 11 3 0 93 0 0 14 0 2 1 5 0 5 9 0 1 42 2 0 0 0 5 62 1 8 1 1 1 0 3 0 6 0 0 249 8 0 2 7 0 0 1 0 0 26 12 6 2 8
Robbery
0 128 323 3 144 7 46 223 30 2 27 4 13 9 4 5 16 4 7 2 96 736 9 335 229 25 4 1 237 1 0 84 2 0 3 22 0 36 116 0 1 503 22 0 0 0 47 433 0 375 0 3 2 0 5 0 1 3 0 3,114 66 1 0 73 0 0 7 0 0 50 188 0 2 35
Aggravated assault
2 185 684 41 326 44 116 471 98 10 78 10 29 39 5 10 63 7 38 13 161 706 27 543 566 70 13 16 787 1 1 134 3 18 3 38 0 54 317 1 10 722 32 0 10 1 83 319 6 500 9 1 3 0 12 0 12 9 4 4,660 101 2 5 153 0 0 15 2 0 106 372 22 7 140
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
89 3,639 4,612 223 2,527 185 1,442 3,553 2,945 191 885 106 155 567 131 99 518 70 409 139 1,315 9,712 260 3,357 2,708 826 138 120 5,795 16 62 1,344 29 152 150 566 10 632 1,665 11 106 9,546 944 27 116 22 820 6,713 196 2,593 26 38 88 2 188 49 148 62 21 45,416 1,430 9 130 1,739 2 19 182 259 18 1,609 2,786 310 170 982
Burglary
33 578 1,172 91 571 71 355 753 353 38 187 28 38 156 47 52 131 12 90 22 280 2,266 94 576 818 161 55 20 1,522 6 13 362 14 35 27 130 4 193 364 4 35 1,808 239 7 31 0 233 1,429 29 920 8 9 22 0 54 23 28 17 2 11,115 282 3 28 463 1 13 29 18 2 282 886 70 24 169
Larcenytheft
52 2,663 2,873 98 1,707 109 950 2,504 2,313 133 650 73 93 377 79 40 341 42 294 110 962 6,581 156 2,265 1,670 601 79 87 3,837 7 45 892 15 104 120 361 6 375 1,131 6 65 6,044 584 19 74 22 507 4,303 160 1,358 18 20 65 2 129 26 109 39 11 29,484 1,017 6 100 1,190 1 6 146 227 16 1,139 1,658 219 125 783
Motor vehicle theft
4 398 567 34 249 5 137 296 279 20 48 5 24 34 5 7 46 16 25 7 73 865 10 516 220 64 4 13 436 3 4 90 0 13 3 75 0 64 170 1 6 1,694 121 1 11 0 80 981 7 315 0 9 1 0 5 0 11 6 8 4,817 131 0 2 86 0 0 7 14 0 188 242 21 21 30
Arson1
0 10 12 0 3 1 0 5 2 0 3 0 0 2 0 0 0 0 6 2 2 48 0 18 11 0 0 2 22 0 0 2 0 0 0 4 0 0 21 0 0 28 4 0 0 0 2 5 0 3 0 0 0 0 2 0 0 0 0 187 10 0 0 6 0 0 1 6 0 0 11 0 0 4
110
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Lake Clarke Shores................. Lake Hamilton......................... Lakeland................................... Lake Mary ................................ Lake Park ................................. Lake Placid............................... Lake Wales ............................... Lake Worth .............................. Lantana..................................... Largo......................................... Lauderdale-by-the-Sea ........... Lauderdale Lakes.................... Lauderhill ................................. Lawtey ...................................... Leesburg ................................... Lighthouse Point ..................... Live Oak................................... Longboat Key .......................... Longwood ................................ Lynn Haven.............................. Madeira Beach......................... Madison .................................... Maitland ................................... Manalapan................................ Mangonia Park ........................ Marco Island ............................ Margate..................................... Marianna .................................. Mascotte ................................... Medley ...................................... Melbourne................................ Melbourne Beach .................... Melbourne Village................... Mexico Beach .......................... Miami........................................ Miami Beach ............................ Miami Gardens ........................ Miami Lakes ............................ Miami Shores ........................... Miami Springs .......................... Milton ....................................... Minneola .................................. Miramar.................................... Monticello ................................ Mount Dora ............................. Mulberry................................... Naples ....................................... Neptune Beach ........................ New Port Richey...................... New Smyrna Beach ................. Niceville.................................... North Bay Village.................... North Lauderdale.................... North Miami ............................ North Miami Beach................. North Palm Beach ................... North Port ................................ North Redington Beach ......... Oak Hill .................................... Oakland .................................... Oakland Park........................... Ocala ......................................... Ocean Ridge ............................ Ocoee........................................ Okeechobee ............................. Oldsmar .................................... Opa Locka................................ Orange City.............................. Orange Park............................. Orlando .................................... Ormond Beach ........................ Oviedo ...................................... Pahokee .................................... Palatka ...................................... 1 The
Population
3,397 1,440 91,009 15,234 8,919 1,867 14,227 36,029 10,475 73,789 6,010 32,003 59,743 692 20,401 11,364 7,100 7,387 13,482 16,110 4,408 3,210 14,130 342 1,259 16,235 56,261 6,293 5,485 1,043 77,678 3,208 680 1,339 410,252 86,742 98,762 22,139 9,814 12,860 8,257 9,646 114,029 2,565 11,897 3,192 22,109 6,833 17,393 23,067 12,354 8,279 42,767 57,368 38,790 12,509 56,539 1,506 1,596 1,128 42,486 53,490 1,678 31,604 6,010 13,656 15,695 9,485 9,108 224,417 38,792 31,269 6,656 11,130
Violent crime
9 7 600 13 119 9 59 556 83 564 17 450 683 7 242 16 84 2 85 49 38 50 39 1 64 17 215 104 22 20 787 2 0 1 6,119 1,072 1,905 92 65 45 53 21 598 29 121 35 49 33 161 138 42 10 308 783 465 30 119 7 18 10 498 633 1 199 22 68 546 80 56 4,269 107 68 137 190
Murder and nonnegligent manslaughter 0 0 6 0 0 0 4 11 0 5 1 4 5 0 2 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 2 0 0 0 78 4 24 0 0 0 0 0 7 0 0 1 0 0 4 1 0 0 2 9 0 0 3 0 0 0 1 6 0 1 0 0 12 0 0 39 0 3 1 3
Forcible rape
0 0 39 1 7 2 0 22 1 35 2 19 23 0 15 0 0 0 4 10 3 2 4 0 1 1 7 3 1 1 15 0 0 0 57 58 61 0 1 3 3 1 26 2 6 5 2 2 9 8 5 1 14 30 28 1 16 1 1 0 18 40 0 8 0 12 7 1 5 162 5 3 7 13
Robbery
2 2 201 4 48 1 26 300 28 128 0 159 222 0 38 9 14 1 18 4 6 7 21 0 29 0 55 13 0 6 174 0 0 0 2,537 448 686 33 39 22 5 0 202 3 33 5 9 12 27 24 4 4 101 391 225 14 20 1 0 2 188 178 0 58 3 14 285 26 11 1,534 30 11 17 33
Aggravated assault
7 5 354 8 64 6 29 223 54 396 14 268 433 7 187 7 70 1 63 35 29 41 13 1 33 15 153 88 21 13 596 2 0 1 3,447 562 1,134 59 25 20 45 20 363 24 82 24 38 19 121 105 33 5 191 353 212 15 80 5 17 8 291 409 1 132 19 42 242 53 40 2,534 72 51 112 141
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
73 99 5,372 280 796 94 675 2,426 535 2,875 136 1,553 2,768 18 1,246 294 316 90 637 460 274 221 398 26 292 172 966 296 106 401 3,942 52 13 79 21,183 7,805 7,606 1,022 704 511 426 151 3,812 31 588 257 858 337 967 814 202 211 1,004 4,093 2,292 251 1,730 40 30 69 2,350 3,444 58 1,545 293 669 1,616 840 283 19,181 1,278 535 300 998
Burglary
24 42 1,093 96 100 32 147 779 163 567 23 378 793 12 349 33 146 17 229 181 52 54 109 5 70 22 221 82 31 111 926 15 4 18 4,829 1,354 1,668 119 212 104 80 48 1,038 21 162 86 126 61 307 214 53 36 248 857 677 64 483 9 16 30 492 747 12 317 40 152 745 102 55 4,164 245 121 70 218
Larcenytheft
41 42 3,956 174 616 59 504 1,354 321 2,105 95 984 1,664 4 832 239 151 71 375 255 206 159 252 19 184 142 658 202 60 253 2,741 36 8 50 12,478 5,607 4,904 755 430 350 339 91 2,274 7 373 149 713 253 607 548 140 145 656 2,748 1,478 161 1,190 31 11 33 1,631 2,503 38 1,062 229 486 595 688 199 12,778 959 393 207 739
Motor vehicle theft
8 15 323 10 80 3 24 293 51 203 18 191 311 2 65 22 19 2 33 24 16 8 37 2 38 8 87 12 15 37 275 1 1 11 3,876 844 1,034 148 62 57 7 12 500 3 53 22 19 23 53 52 9 30 100 488 137 26 57 0 3 6 227 194 8 166 24 31 276 50 29 2,239 74 21 23 41
Arson1
0 0 9 1 0 0 1 0 1 18 1 10 14 0 1 0 0 0 1 0 0 0 3 0 0 0 5 3 2 3 14 0 0 0 175 11 15 0 1 1 0 0 10 2 2 4 2 1 4 1 1 0 5 11 12 1 6 0 0 0 3 10 0 9 0 1 1 1 2 60 3 2 3 4
SECTION II: OFFENSES REPORTED 111 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Palm Bay .................................. Palm Beach .............................. Palm Beach Gardens............... Palm Beach Shores.................. Palmetto ................................... Palmetto Bay............................ Palm Springs ............................ Panama City............................. Panama City Beach ................. Parker ....................................... Parkland ................................... Pembroke Park ........................ Pembroke Pines....................... Pensacola.................................. Perry.......................................... Pinellas Park ............................ Plantation ................................. Plant City.................................. Pompano Beach....................... Ponce Inlet ............................... Port Orange.............................. Port Richey............................... Port St. Joe................................ Port St. Lucie............................ Punta Gorda............................. Redington Beaches ................. Riviera Beach .......................... Rockledge ................................ Royal Palm Beach ................... Safety Harbor .......................... Sanford ..................................... Sanibel ...................................... Sarasota .................................... Sea Ranch Lakes ..................... Sebastian .................................. Sebring...................................... Seminole ................................... Sewall’s Point ........................... Shalimar.................................... Sneads ....................................... South Bay ................................. South Daytona......................... South Miami............................. South Palm Beach ................... South Pasadena ....................... Southwest Ranches ................. Springfield ................................ Starke........................................ St. Augustine ............................ St. Augustine Beach ................ St. Cloud ................................... St. Pete Beach .......................... St. Petersburg ........................... Stuart......................................... Sunny Isles Beach.................... Sunrise ...................................... Surfside ..................................... Sweetwater ............................... Tallahassee ............................... Tamarac .................................... Tampa ....................................... Tarpon Springs......................... Tavares...................................... Temple Terrace ........................ Tequesta.................................... Titusville ................................... Treasure Island ........................ Trenton ..................................... Umatilla.................................... Valparaiso................................. Venice ....................................... Vero Beach............................... Village of Pinecrest ................. Virginia Gardens ..................... 1 The
Population
100,666 9,738 51,053 1,523 14,188 23,287 15,720 36,840 14,755 4,613 25,062 4,991 151,817 52,837 6,801 47,419 86,346 31,985 104,989 3,294 56,155 3,421 3,627 154,036 17,552 1,506 36,795 24,910 32,441 17,366 50,757 5,777 52,986 763 20,913 10,749 19,330 2,035 712 1,936 4,667 13,529 11,071 1,501 5,634 7,449 8,963 5,896 12,118 6,001 24,791 10,105 248,069 16,385 15,190 91,480 4,599 13,436 159,943 61,366 337,220 23,523 13,351 22,546 6,018 44,467 7,575 1,866 2,812 6,047 21,329 16,840 19,027 2,221
Violent crime
617 7 129 5 320 99 94 366 97 18 30 83 390 487 192 302 306 301 1,310 7 83 16 15 421 46 4 783 78 160 36 313 0 588 0 64 99 72 0 2 1 73 56 76 1 19 26 46 44 125 36 180 46 3,830 97 43 428 20 49 1,813 235 3,575 239 39 114 10 373 27 11 7 11 56 84 46 7
Murder and nonnegligent manslaughter 5 0 1 0 1 1 0 7 0 0 0 3 0 3 0 2 4 3 10 0 2 0 0 2 0 0 13 2 1 0 4 0 6 0 0 0 0 0 0 0 2 2 0 0 0 0 1 1 1 0 1 0 26 1 0 6 0 0 5 4 28 3 0 1 0 5 0 0 0 0 0 0 0 0
Forcible rape
28 1 10 0 12 4 6 32 14 2 1 2 16 30 3 24 8 7 63 0 9 1 1 60 0 0 14 1 12 12 21 0 28 0 4 7 3 0 0 0 2 5 0 0 1 1 3 0 4 2 1 1 103 6 3 10 1 2 136 14 80 4 3 3 1 33 7 0 1 0 3 6 2 0
Robbery
104 1 45 2 76 34 43 90 23 9 5 31 146 148 14 87 149 104 452 1 22 5 0 53 4 1 201 20 43 5 181 0 185 0 5 18 12 0 0 0 16 10 29 1 6 6 8 7 21 6 21 7 1,017 21 12 196 5 11 568 86 1,205 41 4 55 1 90 10 1 0 0 5 24 17 5
Aggravated assault
480 5 73 3 231 60 45 237 60 7 24 47 228 306 175 189 145 187 785 6 50 10 14 306 42 3 555 55 104 19 107 0 369 0 55 74 57 0 2 1 53 39 47 0 12 19 34 36 99 28 157 38 2,684 69 28 216 14 36 1,104 131 2,262 191 32 55 8 245 10 10 6 11 48 54 27 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
2,808 186 1,652 53 775 1,058 971 2,271 1,043 170 307 373 5,343 2,880 257 2,779 4,139 1,778 5,369 45 1,209 298 74 3,595 399 39 2,496 778 1,182 273 3,103 99 3,516 17 662 534 644 31 7 42 168 474 740 5 197 174 355 272 1,027 169 1,155 567 15,189 884 638 3,824 154 230 8,396 1,279 16,775 846 245 843 104 1,794 278 57 74 64 626 707 774 56
Burglary
881 28 256 10 208 150 286 399 257 37 59 59 827 608 95 594 750 274 1,139 11 227 59 42 1,003 174 12 773 164 257 67 668 24 806 0 198 190 111 12 0 19 63 95 110 2 31 35 77 15 161 22 259 196 3,717 110 151 733 30 45 2,588 351 4,221 217 58 195 34 475 49 14 4 23 82 196 86 8
Larcenytheft
1,726 148 1,276 32 513 822 555 1,734 783 124 240 247 4,100 2,149 144 2,010 3,098 1,324 3,603 32 896 229 31 2,419 213 23 1,367 576 850 200 2,034 73 2,470 16 443 334 508 19 5 23 92 339 569 1 156 116 258 233 817 141 834 356 9,156 716 437 2,821 113 124 5,202 813 10,390 575 165 562 67 1,054 219 40 66 37 517 482 658 44
Motor vehicle theft
201 10 120 11 54 86 130 138 3 9 8 67 416 123 18 175 291 180 627 2 86 10 1 173 12 4 356 38 75 6 401 2 240 1 21 10 25 0 2 0 13 40 61 2 10 23 20 24 49 6 62 15 2,316 58 50 270 11 61 606 115 2,164 54 22 86 3 265 10 3 4 4 27 29 30 4
Arson1
46 0 0 0 2 0 5 8 2 0 0 1 15 11 3 14 5 12 15 0 2 0 0 11 1 0 5 4 1 0 3 0 4 0 0 9 0 0 0 0 0 1 0 0 1 1 2 0 4 0 1 1 103 2 0 6 0 2 62 5 73 5 0 1 1 18 0 0 0 0 2 13 0 0
112
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
GEORGIA
1 The
City
Wauchula .................................. Webster..................................... Welaka ...................................... Wellington ................................ West Melbourne ...................... West Miami .............................. Weston ...................................... West Palm Beach..................... West Park ................................. White Springs........................... Wildwood ................................. Williston.................................... Wilton Manors ......................... Windermere ............................. Winter Garden......................... Winter Haven........................... Winter Park.............................. Winter Springs ......................... Zephyrhills ............................... Zolfo Springs ........................... Abbeville .................................. Acworth.................................... Adairsville ................................ Adel .......................................... Albany ...................................... Alpharetta ................................ Americus .................................. Aragon...................................... Athens-Clarke County ........... Atlanta...................................... Auburn...................................... Austell....................................... Avondale Estates..................... Baldwin..................................... Ball Ground ............................. Barnesville................................ Barwick..................................... Baxley ....................................... Blackshear................................ Blakely...................................... Bloomingdale........................... Blythe........................................ Bowdon .................................... Bremen ..................................... Brooklet.................................... Broxton..................................... Brunswick................................. Buchanan.................................. Buena Vista5 ............................. Byron ........................................ Cairo ......................................... Calhoun .................................... Canton ...................................... Carrollton3................................ Cartersville ............................... Centerville................................ Chamblee ................................. Chatsworth ............................... Chickamauga ........................... Clarkesville .............................. Clarkston .................................. Claxton ..................................... Cleveland.................................. Cochran .................................... College Park............................. Columbus ................................. Commerce ................................ Conyers..................................... Coolidge ................................... Cordele ..................................... Cornelia .................................... Covington ................................. Cumming .................................. Cuthbert ...................................
Population
4,517 865 714 57,713 16,012 5,725 68,230 101,322 14,917 825 3,211 2,833 12,937 2,037 29,284 31,556 28,114 32,817 12,998 1,693 2,604 19,646 3,199 5,398 75,137 43,909 16,448 1,071 113,389 497,290 7,310 6,976 2,817 2,980 910 5,987 447 4,444 3,476 5,382 2,644 802 1,991 5,622 1,240 1,480 16,146 1,010 1,711 3,801 9,655 14,522 22,071 22,149 17,680 7,123 11,038 4,100 2,535 1,646 7,546 2,399 2,535 4,788 20,573 188,944 6,189 12,704 558 11,495 3,822 14,680 6,150 3,481
Violent crime
40 4 1 158 32 25 87 1,158 118 6 75 52 92 1 235 218 130 80 81 4 1 85 15 42 637 146 135 0 435 8,075 18 62 5 0 1 38 0 36 19 26 7 0 0 21 1 17 458 1 5 15 34 47 62 99 5 112 12 12 3 77 7 41 32 379 1,316 36 78 2 108 14 77 10 13
Murder and nonnegligent manslaughter 1 0 0 1 0 0 2 12 0 0 0 0 0 0 3 2 0 0 0 0 0 0 0 0 12 0 2 0 7 129 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 8 0 0 0 0 3 1 1 2 0 3 0 0 0 0 1 0 0 3 24 0 1 0 3 0 0 0 0
Forcible rape
7 1 0 9 1 3 2 43 4 0 4 3 2 0 3 20 8 6 7 0 0 0 0 5 32 10 15 0 38 148 4 2 0 0 0 0 0 0 2 2 0 0 0 1 1 0 13 0 1 1 4 4 15 8 12 3 1 0 0 1 5 0 1 3 19 57 3 4 0 8 4 10 4 0
Robbery
8 0 1 36 6 3 11 574 44 0 4 1 43 0 59 76 63 12 23 2 0 16 4 13 205 41 34 0 142 3,577 0 6 3 0 0 5 0 4 4 5 0 0 0 4 0 1 104 0 1 6 14 15 10 48 30 1 88 2 0 0 24 3 0 8 181 618 7 37 0 36 1 34 4 3
Aggravated assault
24 3 0 112 25 19 72 529 70 6 67 48 47 1 170 120 59 62 51 2 1 69 11 24 388 95 84 0 248 4,221 14 54 2 0 1 33 0 31 12 19 7 0 0 16 0 16 333 1 3 8 16 25 36 55 1 20 10 12 2 48 3 40 21 176 617 26 36 2 61 9 33 2 10
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
212 31 9 1,864 519 167 965 7,255 652 19 202 126 655 28 1,271 2,008 1,133 451 918 46 2 518 244 315 5,503 1,836 1,135 23 5,493 36,232 85 266 104 63 25 193 0 183 347 84 70 12 91 297 44 106 1,312 48 147 340 1,024 565 1,660 1,295 331 711 116 91 96 343 92 129 278 1,936 13,791 256 938 4 906 179 775 375 69
Burglary
42 8 1 316 264 61 133 1,594 142 8 71 31 139 14 282 507 272 102 236 23 1 51 42 89 1,519 243 383 1 1,306 8,859 25 56 25 7 8 45 0 35 55 21 13 5 14 46 6 18 354 12 14 34 109 168 49 264 233 39 115 8 13 12 162 12 21 25 475 2,652 52 141 1 211 16 194 20 16
Larcenytheft
160 21 7 1,403 226 95 785 4,748 423 11 125 87 460 12 852 1,355 795 313 627 13 1 426 183 211 3,616 1,501 716 22 3,836 20,353 46 175 73 53 15 139 0 141 280 62 49 6 76 234 37 82 867 33 96 214 808 467 1,334 941 265 518 99 75 81 102 73 102 245 1,165 9,367 188 699 2 647 152 528 332 53
Motor vehicle theft
10 2 1 145 29 11 47 913 87 0 6 8 56 2 137 146 66 36 55 10 0 41 19 15 368 92 36 0 351 7,020 14 35 6 3 2 9 0 7 12 1 8 1 1 17 1 6 91 3 2 17 17 48 49 62 121 27 78 9 3 3 79 7 6 8 296 1,772 16 98 1 48 11 53 23 0
Arson1
0 0 0 8 2 0 3 13 4 1 3 0 2 0 0 9 0 2 2 0
0 36 155 0 0 0 0 1
1 0
2 0 0
12 53 1 0
0
SECTION II: OFFENSES REPORTED 113 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Dallas ........................................ Dalton5...................................... Darien ....................................... Dawson ..................................... Decatur ..................................... Donalsonville ........................... Doraville................................... Douglasville ............................. Dublin ....................................... Duluth....................................... East Dublin .............................. Eastman.................................... East Point ................................. Elberton.................................... Ellaville..................................... Emerson ................................... Euharlee ................................... Fairburn .................................... Fayetteville ............................... Flowery Branch ....................... Folkston .................................... Forest Park ............................... Forsyth ...................................... Fort Oglethorpe....................... Fort Valley ................................ Franklin .................................... Gainesville................................ Garden City.............................. Gordon ..................................... Gray .......................................... Greensboro .............................. Griffin ....................................... Grovetown ............................... Guyton...................................... Hahira ....................................... Hampton................................... Hapeville .................................. Hartwell.................................... Hazlehurst ................................ Helen......................................... Hephzibah ................................ Hiawassee................................. Hinesville.................................. Hiram........................................ Hogansville .............................. Holly Springs ........................... Hoschton .................................. Irwinton .................................... Ivey............................................ Jackson...................................... Jefferson ................................... Jonesboro ................................. Kennesaw ................................. Keysville ................................... Kingsland.................................. Lafayette................................... LaGrange ................................. Lake City .................................. Lavonia ..................................... Lawrenceville........................... Leesburg ................................... Lilburn ...................................... Lincolnton ................................ Lithonia .................................... Lookout Mountain .................. Ludowici ................................... Macon ....................................... Madison .................................... Manchester............................... Marietta .................................... Maysville................................... McDonough ............................. McIntyre ................................... McRae....................................... 1 The
Population
10,199 33,790 1,727 4,754 19,180 2,685 10,364 30,422 17,434 26,272 2,738 5,524 42,497 4,655 1,824 1,372 4,190 10,369 15,603 3,589 3,248 22,174 4,174 9,809 8,107 876 34,494 9,387 2,086 2,222 3,243 23,478 8,476 1,906 2,148 5,167 6,149 4,358 3,819 791 4,306 840 29,466 1,959 2,930 6,897 1,586 577 1,067 4,478 6,906 3,909 32,643 259 12,705 6,884 27,867 2,733 2,035 29,797 2,939 11,567 1,535 2,356 1,561 1,637 93,205 3,913 3,808 63,523 1,639 18,504 707 4,492
Violent crime
151 140 10 21 64 12 98 169 192 81 17 87 445 44 7 11 5 48 31 0 19 185 25 30 146 18 184 188 3 6 33 170 26 4 2 14 78 15 11 25 21 7 225 64 40 13 1 0 0 5 60 45 34 0 89 35 118 15 17 129 3 59 16 40 0 13 732 9 26 479 7 202 3 62
Murder and nonnegligent manslaughter 0 3 1 0 1 1 1 0 1 3 0 0 6 0 0 0 0 1 0 0 0 3 0 0 2 0 2 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 1 0 0 0 2 0 0 1 0 0 0 0 0 0 22 0 0 4 0 0 0 0
Forcible rape
3 6 0 0 5 0 0 10 3 3 0 0 14 0 0 0 3 0 1 0 0 6 3 3 0 0 18 5 0 1 2 10 4 0 0 0 2 1 0 0 5 0 16 2 0 0 0 0 0 0 0 1 2 0 5 4 7 0 3 6 1 1 1 1 0 0 43 0 0 16 0 5 0 1
Robbery
16 30 2 0 35 3 46 55 32 30 2 3 211 10 0 0 0 18 11 0 3 119 10 8 13 0 55 48 1 0 4 64 2 2 0 4 46 1 0 0 4 1 44 8 1 2 0 0 0 1 5 17 10 0 5 10 50 15 3 86 1 37 6 14 0 1 302 4 5 297 0 30 0 2
Aggravated assault
132 101 7 21 23 8 51 104 156 45 15 84 214 34 7 11 2 29 19 0 16 57 12 19 131 18 109 133 2 5 27 95 20 2 2 10 30 13 11 25 12 6 161 54 39 11 1 0 0 4 55 26 21 0 79 21 59 0 11 36 1 21 9 25 0 12 365 5 21 162 7 167 3 59
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
335 11 171 729 93 475 2,247 1,330 602 129 277 2,706 497 23 116 41 544 550 68 84 1,349 229 675 491 48 1,920 537 38 84 203 1,708 256 35 78 126 466 387 213 98 126 33 2,055 425 114 121 33 8 1 141 340 213 544 0 501 414 1,704 286 179 1,026 119 585 30 112 16 55 7,997 137 228 2,579 37 797 24 116
Burglary
68 230 5 60 125 15 66 325 247 137 20 61 855 104 1 11 13 190 38 15 11 270 36 100 101 3 293 94 3 9 34 298 78 13 18 51 52 45 0 2 17 6 479 50 13 36 2 4 0 12 65 55 94 0 93 74 375 22 51 221 13 111 0 42 2 12 1,979 29 64 618 5 158 3 17
Larcenytheft
251 1,026 4 111 529 73 332 1,735 1,020 403 105 205 1,488 376 21 100 18 283 482 52 66 908 172 552 371 43 1,494 390 29 74 165 1,356 156 20 57 64 317 335 209 85 97 26 1,511 345 97 77 27 4 0 127 255 132 413 0 393 319 1,215 221 118 675 102 411 27 47 14 39 5,166 97 147 1,553 28 570 21 90
Motor vehicle theft
Arson1
16 2 0 75 5 77 187 63 62 4 11 363 17 1 5 10 71 30 1 7 171 21 23 19 2 133 53 6 1 4 54 22 2 3 11 97 7 4 11 12 1 65 30 4 8 4 0 1 2 20 26 37 0 15 21 114 43 10 130 4 63 3 23 0 4 852 11 17 408 4 69 0 9
0
0 2
0 0 8
1 0
6 0 0
1
3
0 0 0
0 0 0 0 0 1 0
0
74
3 0
114
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Milledgeville ............................ Millen........................................ Molena...................................... Monroe ..................................... Montezuma .............................. Morrow ..................................... Moultrie.................................... Mount Airy............................... Mount Zion .............................. Nashville ................................... Newnan..................................... Newton ..................................... Nicholls ..................................... Ocilla......................................... Oglethorpe ............................... Oxford....................................... Palmetto3 .................................. Peachtree City.......................... Pearson ..................................... Pelham ...................................... Pine Mountain ......................... Pooler........................................ Port Wentworth........................ Powder Springs ........................ Reidsville.................................. Richmond Hill ......................... Rincon ...................................... Ringgold ................................... Riverdale .................................. Roberta..................................... Rockmart.................................. Rome......................................... Rossville ................................... Roswell ..................................... Royston .................................... Sandersville .............................. Sandy Springs........................... Savannah-Chatham Metropolitan ............................ Senoia ....................................... Shiloh ........................................ Smyrna...................................... Snellville ................................... Statesboro ................................ Statham..................................... St. Marys3.................................. Stone Mountain ....................... Suwanee.................................... Sycamore .................................. Sylvania .................................... Sylvester ................................... Talbotton .................................. Tallapoosa ................................ Tallulah Falls ............................ Temple ...................................... Thomaston................................ Thomasville .............................. Thomson................................... Tifton ........................................ Trenton ..................................... Trion.......................................... Tunnel Hill ............................... Tybee Island ............................. Tyrone ....................................... Union City................................ Valdosta .................................... Vidalia....................................... Vienna....................................... Villa Rica.................................. Warner Robins......................... Warrenton ................................ Washington............................... Watkinsville.............................. Waverly Hall ............................ Waycross................................... 1 The 3 The
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
19,896 3,525 492 12,813 3,969 5,425 15,375 680 1,549 4,830 29,117 863 2,868 3,211 1,130 2,480 5,103 35,431 1,927 3,902 1,276 12,815 3,396 15,285 2,458 10,324 7,371 2,764 15,977 771 4,480 36,233 3,473 88,879 2,730 6,134 85,830
77 44 0 77 27 55 133 1 1 37 136 0 0 20 7 4 17 20 12 41 3 15 4 57 7 37 95 19 122 2 17 264 16 191 1 47 229
1 0 0 3 0 0 6 0 0 1 3 0 0 1 0 0 0 0 0 1 0 0 0 3 1 0 0 0 6 0 0 2 0 2 0 1 6
6 0 0 7 0 2 6 1 0 3 1 0 0 3 0 0 0 1 1 3 1 2 0 2 0 2 4 0 8 0 0 17 1 17 0 4 24
18 2 0 23 8 28 51 0 1 11 35 0 0 4 0 1 11 9 2 6 0 5 1 20 3 20 11 2 70 1 3 68 4 107 0 19 151
52 42 0 44 19 25 70 0 0 22 97 0 0 12 7 3 6 10 9 31 2 8 3 32 3 15 80 17 38 1 14 177 11 65 1 23 48
1,130 75 0 637 194 909 1,220 12 20 318 1,166 4 85 220 15 27
208,116 3,213 436 49,259 20,414 26,001 2,795 16,153 7,575 14,959 529 2,522 5,874 998 3,157 157 4,350 9,101 19,108 6,922 16,803 2,399 2,060 1,095 3,774 6,696 17,217 45,712 11,253 2,910 12,585 60,116 1,954 4,093 2,810 808 14,738
1,319 1 0 241 75 459 13
26 0 0 5 1 1 0 2 1 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 4 1 0 1 2 3 0 0 0 0 1
78 0 0 9 5 20 0 7 0 1 0 1 1 0 0 0 0 2 3 4 9 0 0 1 2 1 4 33 12 0 4 16 0 4 1 0 5
743 0 0 120 29 30 1 9 12 26 0 9 3 2 1 0 4 8 26 13 48 0 0 0 3 1 59 111 44 6 7 119 1 3 0 1 29
472 1 0 107 40 408 12
18 39 0 19 16 8 5 0 26 42 71 40 179 3 1 2 12 5 219 276 117 24 87 326 1 29 3 3 108
5 11 0 8 12 6 4 0 22 32 42 23 120 3 1 1 7 3 152 131 61 17 74 188 0 22 2 2 73
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
Burglary
Larcenytheft
897 25 0 414 127 770 912 9 12 204 889 0 74 177 4 9
Motor vehicle theft
402 100 209 66 566 145 365 105 221 236 215 919 42 201 2,398 239 2,261 85 470 3,416
192 47 0 172 64 47 261 1 6 103 219 3 11 28 9 17 69 30 19 39 7 71 25 103 14 34 38 35 222 9 40 489 46 499 2 97 803
292 80 168 52 462 92 238 85 168 184 167 581 33 146 1,754 179 1,612 82 352 2,317
41 3 0 51 3 92 47 2 2 11 58 1 0 15 2 1 24 80 1 2 7 33 28 24 6 19 14 13 116 0 15 155 14 150 1 21 296
9,851 30 3 1,911 847 1,254 120 529 168 397 0 130 290 26 122 1 139 382 1,053 411 1,455 36 53 65 81 102 1,680 2,841 921 105 566 3,309 88 109 73 8 1,018
2,315 2 2 437 121 272 20 102 71 67 0 19 72 11 31 1 22 44 212 123 316 7 13 13 7 27 433 657 244 16 85 928 14 27 12 2 166
6,369 28 1 1,192 682 938 84 404 50 308 0 109 199 14 83 0 109 329 804 282 1,096 23 38 47 71 69 988 2,013 638 85 448 2,235 66 78 59 5 805
1,167 0 0 282 44 44 16 23 47 22 0 2 19 1 8 0 8 9 37 6 43 6 2 5 3 6 259 171 39 4 33 146 8 4 2 1 47
Arson1
3
2 17 0 4 3 0
0 2 0
0 3
2 0 0 12 0 0
88 0 0 0
0 1 0 0
0 0 0 1 0
0
14 0 0
SECTION II: OFFENSES REPORTED 115 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
HAWAII IDAHO
ILLINOIS6
1 The
City
Waynesboro ............................. West Point ................................ Winder ...................................... Wrens........................................ Zebulon .................................... Honolulu .................................. Aberdeen.................................. American Falls......................... Bellevue.................................... Blackfoot .................................. Boise ......................................... Bonners Ferry .......................... Buhl........................................... Caldwell.................................... Cascade..................................... Challis ....................................... Chubbuck ................................. Coeur d’Alene ......................... Cottonwood ............................. Emmett ..................................... Filer ........................................... Fruitland ................................... Garden City.............................. Gooding.................................... Grangeville............................... Hagerman................................. Hailey........................................ Heyburn.................................... Homedale ................................. Idaho City................................. Idaho Falls ................................ Jerome ...................................... Kamiah ..................................... Kellogg...................................... Ketchum ................................... Kimberly................................... Lewiston ................................... McCall....................................... Meridian ................................... Montpelier................................ Moscow..................................... Mountain Home ...................... Nampa....................................... Orofino ..................................... Osburn ...................................... Parma........................................ Payette ...................................... Pinehurst .................................. Pocatello ................................... Ponderay................................... Post Falls................................... Preston...................................... Priest River .............................. Rathdrum ................................. Rexburg .................................... Rigby......................................... Rupert....................................... Salmon ...................................... Sandpoint ................................. Shelley ...................................... Soda Springs............................. Spirit Lake................................ St. Anthony .............................. St. Maries.................................. Sun Valley................................. Twin Falls.................................. Weiser ....................................... Wendell..................................... Wilder ....................................... Aurora....................................... Chicago ..................................... Elgin.......................................... Joliet.......................................... Naperville .................................
Population
5,870 3,349 13,607 2,251 1,230 905,903 1,805 4,244 2,238 11,084 199,104 2,736 4,028 38,713 1,018 868 11,039 42,324 1,062 6,385 1,919 4,603 11,452 3,267 3,171 763 7,984 2,749 2,585 495 53,049 8,778 1,150 2,279 3,258 2,807 31,356 2,644 64,294 2,460 22,503 11,686 80,397 3,103 1,448 1,842 7,686 1,608 54,274 720 25,622 5,147 1,950 6,551 28,308 3,332 5,158 3,054 8,413 4,249 3,149 1,656 3,383 2,657 1,455 41,236 5,425 2,448 1,451 174,724 2,824,434 102,960 148,484 144,933
Violent crime
54 54 146 20 2 2,613 3 3 9 28 648 3 12 162 4 1 34 270 4 10 3 3 64 10 9 5 23 1 3 2 222 24 3 17 15 1 41 16 118 1 18 24 260 11 1 9 9 2 132 1 60 9 5 7 9 7 17 3 15 4 7 5 6 11 6 153 5 4 7
Murder and nonnegligent manslaughter 1 0 0 0 0 19 0 0 0 0 10 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 4 0 0 0 12 443 2 9 2
Forcible rape
1 3 6 0 0 226 0 0 0 7 122 0 0 19 0 0 3 35 0 4 0 1 10 3 2 0 2 0 0 0 32 2 0 0 2 0 12 2 26 0 2 5 55 4 1 0 1 0 20 1 13 2 0 1 1 2 2 0 2 0 0 0 0 0 0 21 0 0 0
Robbery
22 13 24 3 1 943 0 0 0 1 68 0 0 17 0 0 3 18 0 0 0 0 6 0 0 0 0 0 0 0 16 1 0 3 1 0 3 0 8 0 3 1 17 0 0 1 0 0 9 0 5 0 0 1 0 0 0 0 1 0 0 0 0 0 2 14 0 0 1 172 15,425 88 161 17
Aggravated assault
30 38 116 17 1 1,425 3 3 9 20 448 3 12 125 4 1 28 216 4 6 3 2 48 7 7 5 21 1 3 2 174 21 3 13 12 1 25 14 84 1 12 18 183 7 0 8 8 2 103 0 42 7 5 5 8 5 15 3 12 3 7 5 6 11 4 114 5 4 6 589 17,424 104 400 76
Property crime
569 398 886 97 42 37,197 15 83 19 410 6,175 61 139 1,688 16 13 559 1,488 13 165 4 115 432 59 76 3 119 25 17 11 1,927 330 20 73 123 47 1,258 141 1,153 37 507 289 2,508 54 16 37 124 15 1,706 90 628 65 40 158 271 91 97 45 258 53 43 33 44 34 26 1,522 74 40 30 4,507 126,298 2,530 3,995 2,332
Burglary
87 60 180 28 11 5,777 5 8 10 72 1,018 26 70 493 2 5 39 248 4 22 0 25 88 9 15 2 61 12 4 3 372 68 5 14 27 13 239 28 189 11 50 31 613 16 5 7 29 1 259 10 97 10 13 57 64 14 16 17 52 6 16 6 7 5 9 290 12 8 8 921 24,752 508 885 250
Larcenytheft
418 324 651 67 29 26,483 8 72 9 319 4,778 33 57 1,029 10 8 505 1,168 9 137 2 86 305 42 58 1 57 12 11 8 1,432 238 13 55 92 32 959 109 897 24 447 242 1,643 35 11 26 93 12 1,360 78 483 54 23 90 196 72 73 24 191 43 26 24 37 24 15 1,158 59 23 20 3,321 82,942 1,801 2,939 2,009
Motor vehicle theft
64 14 55 2 2 4,937 2 3 0 19 379 2 12 166 4 0 15 72 0 6 2 4 39 8 3 0 1 1 2 0 123 24 2 4 4 2 60 4 67 2 10 16 252 3 0 4 2 2 87 2 48 1 4 11 11 5 8 4 15 4 1 3 0 5 2 74 3 9 2 265 18,604 221 171 73
Arson1
0
1 0 407 0 1 2 1 80 1 2 20 0 0 1 34 0 4 0 2 4 0 0 0 0 0 0 0 17 3 0 2 0 0 5 0 17 0 0 1 15 1 1 0 0 0 4 0 6 0 0 2 2 1 1 0 1 0 0 0 0 0 0 11 0 1 0 23 700 5 59 10
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois and Minneapolis and St. Paul, Minnesota) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
6 The
116
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
INDIANA
1 The 7
City
Peoria........................................ Rockford7 ................................. Springfield ................................ Albion ....................................... Alexandria................................ Anderson.................................. Angola ...................................... Attica ........................................ Auburn...................................... Avon.......................................... Bargersville .............................. Bedford..................................... Beech Grove ............................ Berne ........................................ Bloomington ............................ Bluffton..................................... Boonville .................................. Bremen ..................................... Brownsburg.............................. Burns Harbor........................... Carmel ...................................... Cedar Lake............................... Charlestown ............................. Chesterfield.............................. Chesterton................................ Clarks Hill ................................ Clarksville ................................ Clinton ...................................... Columbia City.......................... Columbus ................................. Connersville ............................. Corydon.................................... Crawfordsville.......................... Crown Point ............................. Culver ....................................... Danville .................................... Decatur ..................................... Delphi ....................................... Dyer .......................................... East Chicago7 ........................... Elwood...................................... Evansville ................................. Fairmount ................................. Fishers....................................... Fort Wayne ............................... Franklin .................................... Gary .......................................... Gas City .................................... Georgetown ............................. Goshen...................................... Greendale7 ............................... Greenfield ................................ Greensburg .............................. Greenwood .............................. Griffith...................................... Hagerstown .............................. Hammond................................. Hartford City ........................... Hebron...................................... Highland ................................... Hobart....................................... Huntingburg............................. Huntington ............................... Indianapolis.............................. Jasper ........................................ Knox7 ........................................ Kokomo .................................... Lafayette................................... La Porte .................................... Ligonier .................................... Logansport ............................... Long Beach .............................. Lowell ....................................... Marion7 .....................................
Population
113,137 155,713 117,185 2,356 5,840 57,189 7,979 3,361 12,902 10,197 2,647 13,557 13,975 4,108 68,918 9,448 6,750 4,719 19,494 1,060 62,037 10,350 7,217 2,755 12,746 663 21,295 4,896 8,227 39,764 14,099 2,793 15,156 24,072 1,523 8,033 9,507 2,969 15,713 30,353 9,013 114,985 2,746 66,099 248,423 22,778 97,048 5,774 2,851 32,210 4,391 17,884 10,570 46,063 16,370 1,646 77,662 6,493 3,634 22,879 28,428 6,107 16,767 797,268 14,098 3,699 45,832 61,257 21,178 4,470 18,995 1,544 8,319 30,288
Violent crime
2,109 1 3 203 10 12 18 48 1 21 34 5 275 3 1 5 19 2 29 17 11 0 7 0 139 2 5 53 26 2 31 13 1 14 1 1 11 223 5 522 8 28 762 86 669 3 5 53 7 24 9 141 43 0 645 6 4 43 86 0 25 9,841 9 12 216 303 31 2 23 1 13 95
Murder and nonnegligent manslaughter 16 21 8 0 0 3 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 14 0 2 0 0 24 0 71 0 0 0 0 3 0 1 2 0 15 0 0 0 2 0 0 114 1 0 1 0 0 0 1 1 0 3
Forcible rape
113 1 0 27 1 2 3 2 0 5 4 1 24 0 0 2 3 0 3 0 0 0 1 0 9 2 2 10 4 0 8 7 0 0 0 0 0 13 1 56 1 7 85 5 57 0 0 18 1 3 2 2 0 0 25 2 0 3 8 0 5 505 0 2 20 36 5 0 8 0 0 19
Robbery
390 633 329 0 0 82 3 3 12 7 0 1 22 0 72 2 1 0 5 1 6 5 6 0 1 0 53 0 0 16 4 1 6 5 0 1 0 1 6 124 3 179 0 12 407 7 324 3 1 28 0 6 5 15 13 0 279 1 0 19 19 0 3 4,046 1 0 62 68 15 0 12 0 3 49
Aggravated assault
474 1,342 1,502 0 3 91 6 6 3 39 1 15 8 4 178 1 0 3 10 1 19 11 5 0 5 0 76 0 3 26 18 1 17 1 1 13 1 0 5 72 1 285 7 9 246 74 217 0 4 7 6 12 2 123 28 0 326 3 4 21 57 0 17 5,176 7 10 133 199 11 2 2 0 10 24
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. Because of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data.
Property crime
5,216 9,324 7,389 2 274 2,931 480 98 442 550 1 388 476 45 2,898 201 160 63 328 32 1,009 415 290 83 324 3 2,024 80 120 2,593 1,251 62 831 684 17 111 74 84 359 2,059 418 5,308 89 826 10,083 1,210 4,667 176 29 1,156 57 393 406 1,763 665 34 3,840 201 25 1,000 1,545 106 386 50,289 176 249 2,717 3,083 1,462 71 847 2 145 1,594
Burglary
1,248 2,681 1,543 2 46 651 42 32 78 44 0 62 93 13 666 29 7 19 44 3 123 81 56 10 75 2 235 7 14 344 263 5 180 59 8 16 22 30 19 388 112 1,108 8 73 2,129 100 1,746 26 7 168 19 64 66 121 76 8 994 48 2 126 167 13 50 13,385 36 43 450 610 175 15 119 2 9 322
Larcenytheft
3,541 5,983 5,481 0 215 2,065 433 62 344 470 1 302 331 24 2,060 172 148 43 275 26 840 318 222 73 231 1 1,574 63 101 2,116 963 54 625 573 6 88 43 52 312 1,378 286 3,905 77 712 7,312 1,080 2,062 137 17 938 37 301 320 1,554 524 25 2,312 148 20 812 1,237 91 320 29,224 131 195 2,142 2,290 1,217 47 681 0 132 1,128
Motor vehicle theft
427 660 365 0 13 215 5 4 20 36 0 24 52 8 172 0 5 1 9 3 46 16 12 0 18 0 215 10 5 133 25 3 26 52 3 7 9 2 28 293 20 295 4 41 642 30 859 13 5 50 1 28 20 88 65 1 534 5 3 62 141 2 16 7,680 9 11 125 183 70 9 47 0 4 144
Arson1
47 84 59 0 1 32 0 1 0 0 0 5 2 0 14 0 0 1 1 1 3 4 0 0 2 0 5 3 0 9 7 0 2 1 0 0 0 0 1 11 5 84 1 1 72 0 0 0 12 0 3 6 5 1 0 50 0 0 4 6 0 2 336 1 0 4 16 2 1 2 2 0 7
SECTION II: OFFENSES REPORTED 117 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
IOWA
1 The
City
Martinsville .............................. Merrillville................................ Michigan City........................... Mishawaka ............................... Monticello ................................ Mooresville .............................. Muncie ...................................... Munster..................................... Nappanee ................................. New Albany ............................. New Castle ............................... New Whiteland ........................ Noblesville................................ North Liberty........................... North Manchester ................... North Vernon ........................... Plainfield .................................. Plymouth .................................. Portage...................................... Portland .................................... Rensselaer ................................ Richmond ................................. Rushville................................... Salem......................................... Schererville .............................. Scottsburg................................. Seymour.................................... South Bend............................... South Whitley .......................... Speedway.................................. St. John...................................... Sullivan ..................................... Tell City .................................... Terre Haute .............................. Tipton........................................ Valparaiso................................. Vincennes ................................. Wabash ..................................... Walkerton................................. Warsaw ..................................... Waterloo ................................... Westfield................................... West Lafayette ......................... Westville ................................... Whiting ..................................... Winchester................................ Winona Lake............................ Adel .......................................... Albia ......................................... Algona ...................................... Altoona..................................... Ames ......................................... Anamosa .................................. Atlantic ..................................... Bettendorf ................................ Bloomfield................................ Boone........................................ Burlington ................................ Camanche................................. Carlisle...................................... Carroll....................................... Carter Lake .............................. Cedar Falls................................ Cedar Rapids ........................... Centerville................................ Chariton.................................... Charles City.............................. Cherokee .................................. Clarinda .................................... Clarion ...................................... Clinton ...................................... Clive .......................................... Coralville .................................. Council Bluffs ..........................
Population
11,805 32,091 32,008 49,196 5,401 11,639 64,921 22,467 7,118 36,840 18,577 5,658 41,927 1,351 5,887 6,407 25,722 11,192 36,701 6,149 6,276 37,129 5,570 6,558 29,494 5,982 19,246 104,437 1,865 12,357 12,237 4,481 7,561 56,946 5,181 29,764 17,905 11,021 2,186 13,154 2,194 14,037 29,045 5,194 4,793 4,705 4,314 4,135 3,615 5,443 13,882 51,622 5,675 6,842 32,501 2,575 12,768 25,258 4,298 3,599 9,976 3,304 36,995 124,730 5,662 4,554 7,574 4,911 5,558 2,796 26,937 14,231 18,496 60,531
Violent crime
42 89 146 157 4 11 375 23 1 137 16 10 48 4 9 15 25 12 139 3 36 166 12 8 12 22 89 805 4 69 4 1 6 197 0 88 28 9 10 16 20 18 49 2 7 10 1 4 7 15 22 200 3 2 43 5 74 188 1 2 6 21 102 500 16 12 9 5 11 8 188 47 41 455
Murder and nonnegligent manslaughter 0 3 3 1 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 1 1 1 3 0 0 0 0 0 0 0 0 0 2
Forcible rape
1 2 14 17 0 3 50 0 0 4 3 0 14 1 1 1 4 5 5 3 7 14 0 0 2 2 5 67 0 1 1 0 2 30 0 2 1 2 0 7 1 5 4 2 1 2 0 0 1 1 4 18 0 0 2 1 18 11 0 0 1 3 16 34 4 1 0 0 1 1 25 5 5 76
Robbery
0 42 82 52 3 3 60 14 1 56 7 0 13 0 2 6 4 2 12 0 1 57 0 0 8 1 4 448 0 45 1 0 0 97 0 6 7 6 1 9 0 4 3 0 5 1 0 0 0 0 2 12 0 0 4 0 1 32 1 0 0 2 9 137 1 1 0 0 1 0 22 4 9 78
Aggravated assault
41 42 47 87 1 5 264 8 0 76 6 10 20 3 6 8 17 5 122 0 28 95 12 8 2 19 80 283 4 23 2 1 4 66 0 80 19 1 9 0 19 9 42 0 1 7 1 4 5 14 16 168 3 2 37 4 55 145 0 2 4 15 76 326 11 10 9 5 9 7 141 38 27 299
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
936 1,065 1,928 3,189 232 331 2,652 472 191 2,507 1,652 136 1,008 6 194 358 921 379 1,557 284 221 1,935 192 24 676 424 1,198 6,872 28 597 147 79 195 4,927 163 825 1,317 204 70 618 53 551 519 82 207 208 33 75 49 58 485 1,602 111 125 820 9 295 1,227 59 56 158 225 821 6,041 246 172 130 89 176 36 1,270 356 779 4,698
Burglary
62 123 306 342 37 36 581 41 12 452 341 7 143 1 20 38 120 34 252 25 40 453 38 13 73 83 116 1,945 8 91 16 16 58 992 43 123 287 55 20 74 20 64 96 13 35 32 4 23 8 16 44 500 22 26 150 5 105 270 7 17 25 41 116 1,083 49 39 23 21 45 8 299 56 85 878
Larcenytheft
850 809 1,435 2,691 185 269 1,932 400 172 1,871 1,245 126 813 5 159 310 732 324 1,190 252 173 1,362 150 11 536 325 1,001 4,438 19 436 118 58 131 3,508 116 673 954 132 43 519 30 461 402 66 155 172 27 49 37 40 416 1,040 84 94 650 4 185 896 50 36 123 162 666 4,619 181 125 99 68 115 23 891 271 674 3,288
Motor vehicle theft
24 133 187 156 10 26 139 31 7 184 66 3 52 0 15 10 69 21 115 7 8 120 4 0 67 16 81 489 1 70 13 5 6 427 4 29 76 17 7 25 3 26 21 3 17 4 2 3 4 2 25 62 5 5 20 0 5 61 2 3 10 22 39 339 16 8 8 0 16 5 80 29 20 532
Arson1
3 2 20 24 2 0 52 0 1 51 0 3 2 0 0 1 3 1 2 0 6 43 0 0 2 0 10 106 0 3 2 0 2 45 0 0 3 2 0 6 0 6 0 0 0 1 1 0 1 0 0 2 1 0 7 1 9 17 0 2 3 2 7 24 2 0 0 0 4 0 15 3 12 44
118
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Cresco ....................................... Davenport ................................ Decorah .................................... Denison .................................... Des Moines .............................. De Witt ..................................... Dubuque................................... Dyersville ................................. Eldora ....................................... Emmetsburg............................. Estherville ................................ Evansdale ................................. Fairfield..................................... Forest City ................................ Fort Dodge ............................... Fort Madison............................ Garner....................................... Glenwood ................................. Hampton................................... Hawarden ................................. Humboldt ................................. Indianola .................................. Iowa City .................................. Jefferson ................................... Johnston.................................... Le Mars..................................... Leon .......................................... Manchester............................... Maquoketa ............................... Marion ...................................... Marshalltown ........................... Mason City ............................... Monticello ................................ Mount Pleasant........................ Mount Vernon.......................... Muscatine ................................. Nevada...................................... New Hampton.......................... Norwalk .................................... Oelwein..................................... Orange City.............................. Osage ........................................ Osceola ..................................... Oskaloosa ................................. Ottumwa................................... Pella........................................... Perry.......................................... Pleasant Hill............................. Polk City ................................... Prairie City ............................... Red Oak ................................... Sac City..................................... Sergeant Bluff .......................... Sheldon ..................................... Shenandoah.............................. Sioux City ................................. Spencer ..................................... Spirit Lake................................ State Center ............................. Storm Lake............................... Story City.................................. Urbandale ................................ Vinton ....................................... Waterloo ................................... Waukee ..................................... Waverly..................................... Webster City ............................ West Burlington....................... West Des Moines..................... West Liberty............................. Williamsburg ............................ Wilton ....................................... Windsor Heights...................... Winterset .................................. 1 The
Population
3,763 99,631 8,066 7,427 192,948 5,360 57,694 4,186 2,789 3,633 6,276 4,998 9,354 4,202 25,330 10,841 2,990 5,816 4,226 2,426 4,379 14,399 62,700 4,337 15,622 9,375 1,923 4,958 6,006 31,772 25,958 27,541 3,738 8,918 4,210 22,705 6,275 3,464 8,413 6,273 5,897 3,447 4,782 11,033 24,822 10,280 9,001 7,458 3,098 1,459 5,907 2,157 4,009 4,863 5,172 82,942 11,015 4,783 1,356 9,855 3,187 38,381 5,239 65,607 11,945 9,396 8,004 3,376 54,988 3,695 2,831 2,862 4,506 4,970
Violent crime
3 821 7 7 1,514 7 407 4 3 1 30 8 24 13 158 20 0 6 9 5 4 26 207 2 13 26 2 26 12 40 91 60 2 33 4 132 23 4 6 8 1 7 8 31 191 26 46 10 0 2 16 1 13 3 4 373 1 4 3 42 0 67 14 433 21 73 35 13 88 3 0 5 6 7
Murder and nonnegligent manslaughter 0 2 0 0 4 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 40 0 0 185 0 23 1 1 0 7 1 4 0 8 3 0 1 0 0 0 4 18 0 2 5 0 4 2 5 1 8 0 1 1 18 2 2 2 1 1 0 1 4 12 3 1 0 0 0 5 0 0 1 0 40 0 2 0 6 0 7 4 53 3 4 1 3 15 1 0 0 0 0
Robbery
0 225 0 1 387 0 27 0 0 0 0 1 0 0 34 4 0 1 1 1 1 1 33 0 4 0 0 0 0 5 8 18 0 0 0 4 1 0 1 1 0 0 0 4 5 0 0 2 0 0 1 0 0 0 0 33 1 0 0 4 0 16 0 74 0 2 1 1 15 1 0 0 3 0
Aggravated assault
3 554 7 6 938 7 356 3 2 1 23 6 20 13 115 13 0 4 8 4 3 21 156 2 7 20 2 22 10 30 82 34 2 32 3 109 20 2 3 6 0 7 7 23 174 23 45 8 0 2 8 1 13 2 4 298 0 2 3 32 0 44 10 302 18 67 33 9 58 1 0 5 3 7
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
73 6,222 106 96 11,794 131 1,946 64 47 34 109 154 247 18 1,555 284 19 121 12 17 45 270 1,333 28 283 250 50 66 136 510 1,132 1,141 35 270 60 733 117 52 119 76 40 59 127 308 1,287 186 143 129 32 17 219 29 87 91 135 2,842 369 191 29 418 47 760 96 3,188 198 163 198 241 1,586 71 33 37 198 85
Burglary
19 1,211 11 16 2,095 44 610 8 3 11 14 50 61 5 333 44 4 26 0 10 10 42 217 4 48 57 3 10 49 137 248 242 4 61 7 158 14 28 20 18 4 13 24 62 269 61 12 44 3 7 57 9 13 23 14 578 64 25 8 112 13 153 20 952 53 28 49 33 226 29 11 11 25 13
Larcenytheft
48 4,730 86 76 8,631 81 1,256 55 43 19 89 95 179 11 1,089 225 13 87 11 7 28 209 1,054 22 227 182 44 50 82 353 811 872 31 198 53 551 87 22 96 53 35 44 97 223 951 117 116 78 27 9 150 19 73 63 109 2,110 295 166 21 298 30 571 73 2,072 135 123 130 203 1,315 41 21 26 164 71
Motor vehicle theft
6 281 9 4 1,068 6 80 1 1 4 6 9 7 2 133 15 2 8 1 0 7 19 62 2 8 11 3 6 5 20 73 27 0 11 0 24 16 2 3 5 1 2 6 23 67 8 15 7 2 1 12 1 1 5 12 154 10 0 0 8 4 36 3 164 10 12 19 5 45 1 1 0 9 1
Arson1
2 29 2 0 90 1 47 0 0 0 0 2 0 1 19 3 0 0 0 0 0 2 10 0 1 1 0 1 0 7 4 7 0 1 0 8 2 0 5 0 0 0 1 2 6 3 6 1 0 0 5 0 3 5 4 19 0 0 0 4 1 9 0 29 1 1 3 0 9 1 1 0 1 0
SECTION II: OFFENSES REPORTED 119 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
KANSAS
1 The 4
City
Abilene ..................................... Andover.................................... Anthony.................................... Arkansas City .......................... Atchison ................................... Atwood ..................................... Auburn...................................... Augusta..................................... Baldwin City ............................ Basehor..................................... Baxter Springs ......................... Bel Aire .................................... Belle Plaine .............................. Beloit......................................... Bonner Springs ........................ Chanute .................................... Chapman .................................. Chetopa .................................... Clay Center .............................. Clearwater................................ Coffeyville ................................ Colby......................................... Columbus ................................. Colwich ..................................... Concordia ................................. Derby ........................................ Dodge City ............................... Edwardsville ............................ El Dorado................................. Elkhart...................................... Ellis ........................................... Ellsworth .................................. Elwood...................................... Erie............................................ Eudora ...................................... Fairway ..................................... Fort Scott .................................. Fredonia.................................... Frontenac.................................. Galena....................................... Garden City.............................. Gardner .................................... Garnett ..................................... Girard ....................................... Goddard ................................... Grandview Plaza...................... Great Bend4 ............................. Hays .......................................... Haysville ................................... Herington ................................. Hesston ..................................... Hiawatha .................................. Hill City .................................... Hillsboro................................... Holton....................................... Horton ...................................... Independence .......................... Inman........................................ Iola ............................................ Junction City ............................ Kansas City .............................. Kechi ......................................... Kingman ................................... Lansing ..................................... Larned ...................................... Lawrence .................................. Leavenworth ............................ Leawood ................................... Lebo .......................................... Lenexa ...................................... Liberal ...................................... Lindsborg ................................. Louisburg ................................. Maize.........................................
Population
6,419 9,955 2,217 11,342 10,138 1,104 1,132 8,715 4,255 3,742 4,164 6,739 1,576 3,591 7,121 8,822 1,262 1,227 4,305 2,299 10,280 4,854 3,216 1,380 5,229 21,531 26,236 4,565 12,693 1,969 1,849 2,869 1,144 1,146 6,323 3,815 7,922 2,446 3,134 3,150 26,949 16,658 3,272 2,645 3,836 995 15,562 19,672 10,227 2,459 3,666 3,207 1,415 2,694 3,364 1,821 9,229 1,189 5,916 15,727 143,371 1,645 3,072 10,861 3,677 90,044 34,918 31,121 945 45,059 20,477 3,282 3,739 2,717
Violent crime
20 27 3 78 32 1 0 20 10 4 8 7 1 6 22 36 3 8 17 2 74 20 7 2 16 50 179 24 48 9 1 4 5 0 13 4 33 5 5 2 176 38 6 12 3 10 57 28 9 2 12 3 3 3 4 69 0 32 164 1,149 1 14 33 22 409 292 72 0 91 182 3 3 3
Murder and nonnegligent manslaughter 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 1 20 0 0 0 0 0 1 0 0 0 1 0 0 0
Forcible rape
6 5 0 10 6 0 0 4 0 0 0 2 0 1 1 5 0 1 7 0 8 1 2 0 5 10 15 1 3 0 0 2 3 0 3 2 5 0 1 0 13 3 1 0 0 0 4 8 7 2 1 2 0 0 0 0 1 0 2 15 91 0 1 2 2 48 15 15 0 8 24 2 1 0
Robbery
0 0 0 1 4 0 0 0 0 0 0 1 0 0 5 2 0 0 0 1 14 1 1 0 2 4 16 0 4 0 0 0 0 0 0 1 5 0 0 0 16 4 0 0 2 0 4 6 0 1 0 1 0 0 1 0 12 0 6 23 489 1 0 2 1 63 72 9 0 15 21 0 0 0
Aggravated assault
13 22 3 66 22 1 0 16 10 4 7 4 1 5 16 29 3 7 10 1 52 18 4 2 9 36 146 23 41 9 1 2 2 0 10 1 23 5 4 2 147 31 5 12 1 10 42 21 6 1 9 3 3 2 4 55 0 24 125 549 0 13 29 19 298 204 48 0 68 136 1 2 3
Property crime
271 594 58 449 412 10 0 520 76 61 149 57 38 63 332 295 18 33 140 67 602 194 86 7 235 743 993 147 621 9 31 51 59 25 129 40 334 124 73 117 1,142 369 110 66 131 47 726 598 437 101 73 96 18 49 72 41 484 10 348 759 9,717 19 93 230 200 5,030 1,483 514 6 1,364 963 87 59 49
Burglary
33 47 25 82 67 1 0 52 11 17 31 14 8 16 61 31 4 10 47 20 181 43 25 1 58 136 193 32 121 2 3 7 24 8 21 7 66 39 17 24 196 61 31 19 34 14 144 123 100 16 24 15 5 11 7 15 116 6 68 138 2,269 3 22 45 41 550 264 88 3 197 222 19 8 7
Larcenytheft
221 539 28 345 324 9 0 447 63 42 107 38 25 44 233 251 14 21 83 45 387 141 58 6 166 560 744 101 453 6 25 43 28 17 99 24 247 82 54 83 902 290 72 41 95 30 560 457 315 69 47 76 11 36 62 22 333 4 267 590 5,431 13 66 156 156 4,283 1,112 397 3 1,009 686 67 50 40
Motor vehicle theft
Arson1
17 8 5 22 21 0 0 21 2 2 11 5 5 3 38 13 0 2 10 2 34 10 3 0 11 47 56 14 47 1 3 1 7 0 9 9 21 3 2 10 44 18 7 6 2 3 22 18 22 16 2 5 2 2 3 4 35 0 13 31 2,017 3 5 29 3 197 107 29 0 158 55 1 1 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table.
1 0 0 7 3 0 0 0 2 1 1 3 0 0 3 1 0 1 0 0 4 2 0 0 6 12 14 0 4 0 0 0 1 0 0 1 4 0 0 0 9 0 0 0 0 2 7 5 1 0 2 0 0 0 2 0 7 0 0 9 0 1 1 3 23 7 7 0 14 2 0 0 0
120
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
KENTUCKY
1 The
City
Marysville ................................. McPherson ............................... Meriden .................................... Minneapolis.............................. Mission...................................... Mission Hills ............................ Mulberry................................... Mulvane.................................... Neodesha.................................. Newton ..................................... Nickerson ................................. North Newton .......................... Norton ...................................... Oakley....................................... Osage City ................................ Osawatomie ............................. Oswego ..................................... Ottawa ...................................... Overland Park ......................... Oxford....................................... Paola ......................................... Park City................................... Parsons...................................... Peabody .................................... Pittsburg ................................... Pleasanton ................................ Prairie Village .......................... Pratt........................................... Roeland Park ........................... Rose Hill................................... Russell ...................................... Sabetha ..................................... Salina ........................................ Scott City .................................. Sedgwick................................... Seneca ....................................... Shawnee.................................... South Hutchinson.................... Spring Hill ................................ Stafford ..................................... Sterling...................................... St. Marys ................................... Tonganoxie............................... Topeka ...................................... Towanda ................................... Ulysses ...................................... Valley Center ........................... Valley Falls ............................... Wa Keeney ............................... Wamego .................................... Wathena.................................... Wellington ................................ Wellsville .................................. Westwood ................................. Wichita...................................... Yates Center............................. Adairville.................................. Albany ...................................... Alexandria................................ Anchorage................................ Auburn...................................... Audubon Park.......................... Barbourville ............................. Bardstown ................................ Beattyville ................................ Bellefonte ................................. Benham..................................... Berea......................................... Bloomfield................................ Bowling Green......................... Burnside ................................... Butler ........................................ Cadiz ......................................... Calhoun ....................................
Population
3,110 13,577 713 2,021 9,691 3,514 566 5,836 2,635 18,164 1,160 1,574 2,726 1,870 2,936 4,578 1,993 12,901 169,224 1,092 5,378 7,603 11,190 1,264 19,104 1,367 21,312 6,389 6,916 4,028 4,224 2,506 46,180 3,459 1,657 2,054 60,950 2,477 5,203 1,041 2,537 2,240 4,312 121,885 1,371 5,620 6,044 1,182 1,716 4,243 1,297 7,898 1,694 1,832 358,294 1,451 937 2,323 7,948 2,804 1,509 1,568 3,561 11,158 1,135 846 547 13,946 887 53,663 681 648 2,604 803
Violent crime
9 20 0 2 21 1 2 8 12 88 3 0 2 4 9 24 4 64 311 0 11 14 82 2 101 1 28 16 17 5 11 3 168 10 5 0 122 8 9 1 7 6 8 719 0 19 5 2 0 5 8 23 2 4 3,386 2 0 2 16 3 3 6 2 31 1 0 0 22 0 348 1 0 8 3
Murder and nonnegligent manslaughter 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
Forcible rape
2 5 0 0 2 0 0 1 2 10 2 0 1 2 2 5 0 15 35 0 3 6 2 0 10 0 2 2 5 0 1 0 45 5 0 0 9 0 1 0 0 0 1 47 0 1 0 1 0 0 1 2 0 0 269 1 0 0 0 0 0 0 0 7 0 0 0 3 0 49 0 0 0 0
Robbery
0 4 0 0 8 0 0 0 0 8 0 0 0 0 0 2 0 3 53 0 2 4 7 0 10 0 5 0 4 0 0 0 15 1 0 0 21 0 0 0 0 0 1 308 0 0 0 0 0 0 0 1 0 3 557 0 0 0 0 0 0 2 1 4 0 0 0 8 0 87 0 0 2 0
Aggravated assault
7 10 0 2 11 1 2 7 10 70 1 0 1 2 7 17 4 46 221 0 6 4 73 2 80 1 21 14 8 5 10 3 108 4 5 0 92 8 8 1 7 6 6 352 0 18 5 1 0 5 7 20 2 1 2,519 1 0 2 16 3 3 4 1 20 1 0 0 11 0 211 1 0 6 3
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
37 393 1 44 434 13 12 180 107 676 22 12 38 59 79 238 49 406 4,266 23 168 206 679 42 1,153 17 293 127 274 87 79 37 2,753 75 13 27 1,306 85 86 22 32 29 136 7,774 18 56 106 5 30 90 32 405 52 85 20,756 37 4 13 168 42 18 35 24 327 10 4 1 399 2 2,739 22 3 84 6
Burglary
12 84 0 6 42 3 4 25 28 101 3 2 11 5 22 52 7 62 532 10 14 43 137 11 240 8 45 26 27 3 27 8 362 17 5 9 164 11 18 1 13 5 12 1,424 4 5 14 3 15 8 8 67 8 15 4,357 4 4 3 19 10 4 10 6 61 4 1 1 101 1 545 4 2 20 3
Larcenytheft
19 283 1 37 306 8 7 149 76 558 19 10 25 53 55 174 42 335 3,305 13 147 152 516 29 855 7 216 95 247 81 47 25 2,291 58 8 18 935 73 62 17 15 22 115 5,646 14 48 84 1 15 78 22 319 43 64 14,263 30 0 9 132 29 12 23 15 250 6 3 0 274 1 2,072 17 1 60 3
Motor vehicle theft
6 26 0 1 86 2 1 6 3 17 0 0 2 1 2 12 0 9 429 0 7 11 26 2 58 2 32 6 0 3 5 4 100 0 0 0 207 1 6 4 4 2 9 704 0 3 8 1 0 4 2 19 1 6 2,136 3 0 1 17 3 2 2 3 16 0 0 0 24 0 122 1 0 4 0
Arson1
0 3 0 0 1 1 1 1 2 5 0 1 0 0 4 0 0 10 44 0 3 1 12 0 14 0 8 1 0 0 2 0 19 0 0 0 18 1 0 0 0 0 1 10 0 0 0 0 0 0 0 1 0 0 189 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0
SECTION II: OFFENSES REPORTED 121 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Campbellsville ......................... Carlisle...................................... Carrollton ................................. Cave City .................................. Central City.............................. Clay City................................... Clinton ...................................... Cold Spring .............................. Columbia .................................. Corbin ....................................... Covington5................................ Crescent Springs ...................... Cynthiana ................................. Danville .................................... Dawson Springs ....................... Earlington ................................ Edmonton ................................ Elizabethtown.......................... Elkton ....................................... Elsmere..................................... Eminence.................................. Erlanger.................................... Evarts........................................ Falmouth................................... Flatwoods ................................. Fleming-Neon .......................... Flemingsburg ........................... Florence.................................... Fort Thomas ............................. Fort Wright............................... Franklin .................................... Fulton........................................ Georgetown ............................. Glasgow .................................... Glencoe..................................... Graymoor-Devondale............. Greensburg .............................. Greenville................................. Guthrie ..................................... Hardinsburg ............................. Harlan ....................................... Harrodsburg............................. Hartford.................................... Hawesville ................................ Hazard ...................................... Heritage Creek ........................ Hickman ................................... Hillview..................................... Hodgenville.............................. Horse Cave............................... Independence .......................... Indian Hills............................... Inez............................................ Irvine......................................... Irvington ................................... Jackson...................................... Jamestown ................................ Jeffersontown........................... Jenkins ...................................... La Grange ................................ Lakeside Park-Crestvie .......... Lancaster .................................. Lawrenceburg .......................... Lebanon.................................... Lebanon Junction .................... Leitchfield ................................ Lewisburg ................................. Lewisport.................................. Lexington ................................. London ..................................... Lone Oak ................................. Louisa ....................................... Louisville Metro ...................... Lynch ........................................ 1 The 5 The
Population
10,957 2,133 3,888 2,088 5,763 1,365 1,331 5,758 4,195 8,344 42,682 3,988 6,291 15,377 2,947 1,593 1,624 23,547 1,962 7,848 2,264 16,986 1,056 2,129 7,647 805 3,105 27,405 15,266 5,379 8,101 2,435 20,997 14,282 251 3,008 2,408 4,258 1,441 2,466 1,893 8,164 2,685 983 4,862 1,654 2,253 7,506 2,781 2,345 21,038 3,149 450 2,699 1,421 2,401 1,738 25,837 2,288 6,238 6,205 4,452 9,710 5,980 1,994 6,561 924 1,658 272,815 7,922 437 2,076 624,030 838
Violent crime
29 3 16 6 6 1 1 23 7 25 385 9 16 53 4 2 0 86 6 16 4 27 4 6 3 0 2 220 11 17 32 18 48 24 0 4 0 3 1 1 8 15 1 0 7 0 4 10 2 2 18 2 0 9 0 0 3 48 1 4 0 5 13 17 2 2 0 3 1,790 21 0 2 4,238 0
Murder and nonnegligent manslaughter 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 16 0 0 0 71 0
Forcible rape
3 0 3 0 0 0 0 0 3 2 44 0 2 7 3 1 0 18 5 2 0 4 1 1 1 0 1 13 2 1 7 3 12 3 0 1 0 1 1 0 0 2 0 0 0 0 1 1 1 0 4 1 0 1 0 0 0 8 0 2 0 0 1 2 0 0 0 0 111 1 0 0 194 0
Robbery
9 0 4 2 2 0 0 3 2 3 191 5 3 24 0 0 0 23 0 8 0 16 0 0 1 0 0 44 2 12 16 5 12 2 0 1 0 0 0 0 3 7 0 0 0 0 0 1 0 0 1 1 0 2 0 0 0 24 0 2 0 1 3 0 1 0 0 2 550 9 0 1 1,910 0
Aggravated assault
17 3 8 4 3 1 1 20 2 20 149 4 11 22 1 1 0 44 1 6 4 7 3 5 1 0 1 163 6 4 8 9 24 17 0 2 0 2 0 1 5 6 1 0 7 0 3 7 1 2 13 0 0 6 0 0 3 15 1 0 0 4 9 15 1 2 0 1 1,113 11 0 1 2,063 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table.
Property crime
414 14 124 58 40 43 7 175 61 352 132 323 507 32 7 4 1,039 30 127 28 345 11 68 88 7 34 1,302 214 283 268 116 956 232 7 48 6 10 9 0 115 161 41 1 242 10 70 127 17 10 333 32 3 112 2 46 47 584 21 183 94 75 139 244 69 77 2 14 9,349 529 7 16 29,543 15
Burglary
100 7 27 13 4 16 2 10 18 74 659 15 70 113 11 1 2 173 8 31 4 72 1 27 43 0 10 173 38 25 57 22 176 62 1 11 3 5 6 0 21 49 6 1 48 5 16 31 6 2 84 9 1 38 0 16 11 120 7 48 12 21 37 69 23 24 1 4 2,114 78 6 4 7,588 5
Larcenytheft
298 6 92 40 31 26 5 159 38 254 1,357 110 233 370 18 5 2 823 18 81 23 258 9 38 32 5 22 1,032 155 249 198 84 720 163 6 33 3 3 3 0 93 92 30 0 185 4 49 84 9 7 227 21 2 68 2 27 35 385 12 129 79 54 101 162 42 45 1 10 6,623 415 1 11 18,772 10
Motor vehicle theft
16 1 5 5 5 1 0 6 5 24 7 20 24 3 1 0 43 4 15 1 15 1 3 13 2 2 97 21 9 13 10 60 7 0 4 0 2 0 0 1 20 5 0 9 1 5 12 2 1 22 2 0 6 0 3 1 79 2 6 3 0 1 13 4 8 0 0 612 36 0 1 3,183 0
Arson1
1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 2 1 0 0 30 0 0 0 214 0
122
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
LOUISIANA
1 The 4
City
Lynnview .................................. Manchester............................... Marion ...................................... Maysville................................... McKee....................................... Millersburg ............................... Monticello ................................ Morganfield.............................. Mortons Gap............................ Mount Sterling......................... Mount Vernon.......................... Mount Washington .................. Muldraugh................................ Munfordville ............................ Murray ...................................... New Castle ............................... Newport.................................... Nicholasville............................. Nortonville ............................... Oak Grove................................ Olive Hill .................................. Owenton ................................... Owingsville............................... Paintsville ................................. Paris........................................... Park Hills.................................. Pewee Valley ............................ Pikeville .................................... Pineville .................................... Pioneer Village......................... Powderly ................................... Prestonsburg ............................ Princeton .................................. Prospect .................................... Providence................................ Raceland................................... Radcliff4 .................................... Russell ...................................... Russell Springs......................... Science Hill .............................. Scottsville ................................. Shelbyville ................................ Shepherdsville.......................... Shively ...................................... Silver Grove ............................. Smiths Grove ........................... Somerset ................................... Southgate.................................. Springfield ................................ Stanford .................................... St. Matthews............................. Sturgis ....................................... Taylor Mill................................ Taylorsville ............................... Tompkinsville........................... Uniontown ............................... Vanceburg ................................ Villa Hills.................................. Vine Grove............................... Warsaw ..................................... West Liberty............................. West Point ................................ Whitesburg ............................... Wilder ....................................... Williamsburg ............................ Williamstown ........................... Wilmore .................................... Winchester................................ Worthington ............................. Addis......................................... Alexandria................................ Baker ........................................ Basile......................................... Baton Rouge ............................
Population
980 1,945 3,022 9,205 864 872 6,120 3,365 953 6,569 2,622 12,334 1,309 1,624 15,811 932 15,540 25,495 1,250 7,303 1,823 1,491 1,596 4,176 9,329 2,748 1,598 6,331 1,997 2,687 892 3,850 6,402 5,044 3,521 2,548 21,560 3,598 2,573 658 4,567 11,101 9,123 15,621 1,158 741 12,344 3,291 2,845 3,467 17,676 1,967 6,682 1,226 2,656 1,046 1,722 7,672 3,915 1,832 3,362 992 1,504 3,037 5,192 3,465 5,862 16,515 1,686 3,145 45,720 13,600 2,392 228,446
Violent crime
0 6 1 31 1 0 3 12 0 21 2 4 0 2 28 0 95 61 0 33 2 0 0 4 26 0 0 11 3 0 0 11 16 1 3 0 1 4 0 2 46 14 111 0 1 27 0 6 3 45 2 6 2 5 1 1 1 5 9 0 0 0 2 13 2 4 30 0 9 1,065 51 4 2,615
Murder and nonnegligent manslaughter 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 8 2 0 71
Forcible rape
0 0 0 6 0 0 0 3 0 3 0 1 0 1 7 0 18 11 0 2 1 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 18 0 0 0 1 3 2 3 0 0 6 0 1 0 2 1 1 0 0 0 1 0 0 0 0 0 0 0 2 0 0 3 0 0 16 4 0 72
Robbery
0 0 0 5 0 0 1 2 0 6 2 0 0 0 8 0 53 22 0 13 0 0 0 0 9 0 0 3 2 0 0 0 4 1 0 0 21 1 1 0 0 22 4 85 0 1 8 0 2 1 28 0 3 0 3 0 0 1 0 0 0 0 0 1 5 0 1 9 0 0 175 12 0 1,015
Aggravated assault
0 5 1 19 1 0 2 7 0 12 0 3 0 1 13 0 21 28 0 18 1 0 0 4 15 0 0 6 1 0 0 11 12 0 3 0 0 3 0 1 21 7 22 0 0 13 0 3 2 15 1 2 2 2 1 0 0 5 9 0 0 0 1 6 2 3 17 0 9 866 33 4 1,457
Property crime
8 26 51 583 10 12 185 114 3 412 42 136 9 27 675 12 1,137 1,098 2 337 23 12 45 98 230 16 8 381 52 18 50 124 171 5 30 18 583 127 103 5 33 410 513 754 9 7 572 38 63 20 728 20 77 33 53 5 22 32 73 26 44 10 16 61 77 108 77 775 10 5 4,246 729 15 13,643
Burglary
2 4 13 152 2 8 51 15 1 68 11 44 3 7 124 4 168 226 0 94 14 3 10 12 51 6 5 32 7 6 12 18 56 3 14 4 155 16 28 3 15 107 90 197 4 3 89 6 27 4 128 5 17 6 23 3 1 3 26 10 5 1 0 7 15 35 13 170 4 0 1,099 151 3 3,847
Larcenytheft
5 14 35 407 7 4 128 94 0 321 28 80 6 19 532 6 856 810 2 220 7 7 33 76 168 5 3 334 39 11 38 101 104 1 14 13 395 102 70 1 14 277 408 453 5 3 468 31 34 15 562 15 51 20 25 2 18 28 46 15 35 6 15 52 56 66 61 582 6 4 2,966 535 12 8,617
Motor vehicle theft
Arson1
1 8 3 24 1 0 6 5 2 23 3 12 0 1 19 2 113 62 0 23 2 2 2 10 11 5 0 15 6 1 0 5 11 1 2 1 33 9 5 1 4 26 15 104 0 1 15 1 2 1 38 0 9 7 5 0 3 1 1 1 4 3 1 2 6 7 3 23 0 1 181 43 0 1,179
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table.
0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 3 0 210
SECTION II: OFFENSES REPORTED 123 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MAINE
1 The
City
Bernice...................................... Berwick..................................... Bogalusa ................................... Bossier City .............................. Breaux Bridge.......................... Clinton ...................................... Coushatta ................................. Covington ................................. Crowley..................................... Denham Springs ...................... De Quincy ................................ De Ridder................................. Elton ......................................... Eunice ....................................... Farmerville ............................... Franklin .................................... Franklinton............................... French Settlement ................... Golden Meadow ...................... Gonzales ................................... Gramercy.................................. Gretna....................................... Harahan.................................... Haughton.................................. Houma ...................................... Iowa .......................................... Jackson...................................... Jeanerette ................................. Jennings .................................... Kenner ...................................... Kentwood ................................. Kinder ....................................... Lafayette................................... Lake Arthur ............................. Mamou...................................... Mandeville................................ Monroe ..................................... Moreauville .............................. Morgan City ............................. New Orleans ............................ Olla............................................ Pearl River ............................... Pineville .................................... Plaquemine .............................. Ponchatoula.............................. Port Allen ................................. Ruston ...................................... Shreveport................................ Slidell ........................................ Sterlington................................ Tallulah ..................................... Thibodaux ................................ Tickfaw ..................................... Vinton ....................................... Westlake ................................... West Monroe............................ Westwego ................................. Winnfield .................................. Zachary..................................... Ashland .................................... Auburn...................................... Augusta..................................... Baileyville................................. Bangor ...................................... Bar Harbor............................... Bath........................................... Belfast ....................................... Berwick..................................... Bethel........................................ Biddeford ................................. Boothbay Harbor .................... Brewer ...................................... Bridgton.................................... Brownville ................................
Population
1,677 4,312 12,927 61,993 8,047 1,907 2,166 9,745 13,992 10,552 3,192 10,143 1,252 11,621 3,567 7,794 3,723 1,100 2,158 9,067 6,946 16,240 9,212 2,997 32,597 2,565 3,714 6,015 10,577 66,473 2,302 2,148 114,212 2,894 3,443 12,346 51,350 944 11,810 220,614 1,352 2,170 14,540 6,627 6,244 5,136 20,532 199,811 28,272 1,240 7,883 14,501 687 3,131 4,526 12,989 9,957 5,183 13,428 1,460 23,150 18,572 1,593 30,940 5,197 9,175 6,866 7,603 2,671 22,079 2,340 9,101 5,325 1,306
Violent crime
7 30 201 1,146 32 32 12 67 86 145 11 26 11 47 42 96 48 2 2 54 33 165 21 22 340 15 31 19 81 388 6 31 1,293 8 36 38 343 5 74 3,451 5 21 58 115 89 31 100 2,198 143 1 102 120 1 21 20 99 43 16 39 3 29 69 1 46 4 5 6 11 1 77 2 4 6 6
Murder and nonnegligent manslaughter 1 0 3 2 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 4 0 0 4 0 0 0 2 10 0 0 15 0 0 0 1 0 0 209 0 0 0 7 0 1 0 36 0 0 4 1 0 0 0 0 0 0 1 0 2 1 0 1 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 0 11 34 2 0 0 1 8 5 1 1 1 1 3 2 2 0 0 3 2 10 0 0 16 0 0 1 3 14 1 3 68 2 1 4 20 0 4 115 1 0 7 1 2 1 0 112 11 0 1 10 0 1 2 2 3 0 4 0 6 15 0 4 2 3 1 6 1 28 1 0 0 1
Robbery
0 0 35 88 3 0 1 13 9 29 0 1 2 9 1 9 8 0 0 12 2 52 4 0 65 1 0 3 14 124 0 0 319 3 2 4 101 0 19 1,154 0 2 8 6 11 4 26 544 23 0 8 21 0 1 0 15 7 1 7 2 10 10 0 24 0 0 1 1 0 21 0 2 2 0
Aggravated assault
6 30 152 1,022 27 31 11 53 69 111 10 24 8 37 38 85 38 1 2 38 29 99 17 22 255 14 31 15 62 240 5 28 891 3 33 30 221 5 51 1,973 4 19 43 101 76 25 74 1,506 109 1 89 88 1 19 18 82 33 15 27 1 11 43 1 17 2 2 4 4 0 28 1 2 4 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
15 37 888 2,692 31 72 84 320 680 1,085 152 172 60 697 188 526 293 7 10 376 133 868 187 4 1,489 124 73 105 512 2,760 256 75 7,118 96 139 426 5,096 21 501 15,583 38 106 716 353 651 201 823 12,178 2,137 20 334 679 43 200 166 1,040 312 154 183 4 817 1,138 72 1,905 25 284 268 105 32 1,050 62 429 140 45
Burglary
5 15 259 426 15 18 22 69 270 226 40 48 25 113 60 60 52 0 1 31 14 215 37 0 235 28 11 23 112 597 36 5 1,410 16 14 58 1,141 7 115 5,039 11 14 170 50 204 43 211 2,861 285 4 118 126 4 38 26 193 74 13 22 4 152 183 22 208 7 25 31 29 8 160 14 37 44 18
Larcenytheft
10 20 550 2,068 14 47 57 232 392 832 107 123 35 548 128 453 229 7 8 315 113 543 138 4 1,182 88 61 79 361 1,859 214 64 5,152 74 117 358 3,792 13 356 7,354 27 88 500 294 417 126 598 8,216 1,696 16 210 539 38 148 127 812 215 141 144 0 633 931 49 1,655 18 255 233 67 23 845 44 381 89 27
Motor vehicle theft
0 2 79 198 2 7 5 19 18 27 5 1 0 36 0 13 12 0 1 30 6 110 12 0 72 8 1 3 39 304 6 6 556 6 8 10 163 1 30 3,190 0 4 46 9 30 32 14 1,101 156 0 6 14 1 14 13 35 23 0 17 0 32 24 1 42 0 4 4 9 1 45 4 11 7 0
Arson1
0 0 4 15 0 0 0 1 0 0 1 0 1 0 1 2 0 0 1 0 2 0 13 0 7 0 0 0 2 24 0 0 28 0 1 1 0 0 0 0 0 2 0 2 0 111 0 0 1 0 0 1 0 3 2 0 0 0 3 11 0 3 1 0 1 3 0 5 0 2 1 0
124
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Brunswick................................. Bucksport ................................. Buxton ...................................... Calais......................................... Camden..................................... Cape Elizabeth ........................ Caribou ..................................... Carrabassett Valley ................. Clinton ...................................... Cumberland ............................. Damariscotta............................ Dexter ....................................... Dixfield ..................................... Dover-Foxcroft ........................ East Millinocket ...................... Eastport .................................... Eliot........................................... Ellsworth .................................. Fairfield..................................... Falmouth................................... Farmington ............................... Fort Fairfield ............................ Fort Kent .................................. Freeport .................................... Fryeburg ................................... Gardiner ................................... Gorham..................................... Gouldsboro .............................. Greenville................................. Hallowell .................................. Hampden.................................. Holden ...................................... Houlton .................................... Jay.............................................. Kennebunk............................... Kennebunkport ....................... Kittery....................................... Lewiston ................................... Limestone................................. Lincoln...................................... Lisbon ....................................... Livermore Falls........................ Machias..................................... Madawaska............................... Madison .................................... Mechanic Falls ......................... Mexico ...................................... Milbridge .................................. Millinocket ............................... Milo ........................................... Monmouth................................ Mount Desert........................... Newport.................................... North Berwick ......................... Norway ..................................... Oakland .................................... Ogunquit .................................. Old Orchard Beach ................. Old Town .................................. Orono........................................ Oxford....................................... Paris........................................... Phippsburg ............................... Pittsfield.................................... Portland .................................... Presque Isle .............................. Rangeley................................... Richmond ................................. Rockland .................................. Rockport .................................. Rumford ................................... Sabattus .................................... Saco ........................................... Sanford ..................................... 1 The
Population
22,048 4,969 8,284 3,253 5,327 8,806 8,279 467 3,400 7,728 1,965 3,720 2,564 4,391 3,171 1,575 6,453 7,165 6,808 10,591 7,603 3,510 4,202 8,190 3,363 6,174 15,593 2,040 1,759 2,521 6,847 2,961 6,258 4,847 11,658 4,070 10,645 35,747 2,298 5,235 9,474 3,200 2,191 4,402 4,673 3,256 2,932 1,316 4,927 2,414 3,849 2,214 3,106 4,911 4,846 6,239 1,295 9,423 7,704 9,737 3,954 5,048 2,205 4,296 62,894 9,217 1,168 3,440 7,582 3,590 6,405 4,702 18,509 21,648
Violent crime
18 13 4 26 3 3 5 1 3 1 7 9 5 19 1 0 3 4 10 3 15 11 2 3 2 6 12 1 3 1 4 0 10 0 4 2 8 97 4 1 3 5 6 0 2 1 7 1 2 30 3 0 2 0 8 4 0 13 2 6 4 2 0 2 231 11 4 1 13 0 20 7 19 40
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1
Forcible rape
12 1 0 0 0 0 0 1 2 1 6 2 2 3 0 0 0 2 4 1 8 0 0 2 0 3 1 1 1 0 2 0 5 0 1 1 1 23 0 0 1 3 0 0 1 0 2 0 0 0 1 0 0 0 6 1 0 3 0 2 3 1 0 0 25 4 1 0 5 0 11 2 8 14
Robbery
1 0 1 0 0 0 4 0 0 0 1 1 0 0 0 0 0 1 3 1 3 0 0 1 0 2 0 0 0 0 1 0 1 0 1 0 4 34 1 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 2 0 3 1 1 0 1 0 1 103 4 0 0 3 0 1 1 5 11
Aggravated assault
5 12 3 26 3 3 1 0 1 0 0 6 3 16 1 0 3 1 2 1 4 11 2 0 2 1 11 0 2 1 1 0 4 0 2 1 3 38 2 1 2 1 5 0 1 1 4 1 2 30 2 0 1 0 2 1 0 7 1 3 1 0 0 1 102 3 3 1 5 0 8 4 5 14
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
428 83 119 185 109 112 240 106 51 37 60 176 58 166 11 12 60 331 301 146 246 30 51 159 29 107 201 12 47 55 107 63 154 69 188 45 171 1,117 11 40 161 78 55 51 98 50 113 27 77 103 60 35 121 4 138 113 44 278 225 174 163 84 10 106 3,079 288 32 25 406 26 215 52 588 798
Burglary
59 14 41 18 22 26 61 9 17 9 2 59 14 26 1 0 10 23 64 17 20 5 8 22 4 29 80 4 8 22 11 16 38 20 30 4 32 260 10 7 42 17 9 11 14 15 27 4 13 25 17 1 21 2 22 26 3 62 35 22 24 17 4 24 562 38 11 7 24 0 43 18 104 151
Larcenytheft
352 69 72 166 85 75 169 97 33 20 58 111 39 135 10 10 47 293 222 129 220 24 43 132 25 78 113 8 37 33 94 46 114 47 155 40 135 813 1 30 115 60 45 38 83 32 77 23 61 71 40 32 98 2 110 86 40 199 185 149 135 62 6 77 2,356 241 18 18 375 26 169 27 463 608
Motor vehicle theft
17 0 6 1 2 11 10 0 1 8 0 6 5 5 0 2 3 15 15 0 6 1 0 5 0 0 8 0 2 0 2 1 2 2 3 1 4 44 0 3 4 1 1 2 1 3 9 0 3 7 3 2 2 0 6 1 1 17 5 3 4 5 0 5 161 9 3 0 7 0 3 7 21 39
Arson1
8 0 4 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 2 0 0 0 0 0 0 1 2 0 0 0 0 3 0 2 0 1 1 9 0 0 3 1 2 0 2 0 1 0 0 3 0 1 1 1 2 1 0 4 0 1 0 1 0 0 16 3 0 0 0 0 1 0 3 12
SECTION II: OFFENSES REPORTED 125 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MARYLAND
1 The
City
Scarborough ............................. Searsport .................................. Skowhegan ............................... South Berwick ......................... South Portland ......................... Southwest Harbor ................... Swan’s Island............................ Thomaston................................ Topsham ................................... Van Buren ................................ Veazie........................................ Waldoboro................................ Washburn ................................. Waterville ................................. Wells.......................................... Westbrook ................................ Wilton ....................................... Windham .................................. Winslow .................................... Winter Harbor ......................... Winthrop .................................. Wiscasset .................................. Yarmouth.................................. York .......................................... Aberdeen.................................. Annapolis ................................. Baltimore.................................. Baltimore City Sheriff............. Bel Air ...................................... Berlin ........................................ Berwyn Heights ....................... Bladensburg ............................. Boonsboro................................ Brunswick................................. Cambridge................................ Capitol Heights........................ Centreville................................ Chestertown ............................. Cheverly ................................... Chevy Chase Village ............... Cottage City ............................. Crisfield .................................... Cumberland ............................. Delmar...................................... Denton...................................... District Heights........................ Easton ....................................... Edmonston ............................... Elkton ....................................... Fairmount Heights .................. Federalsburg ............................ Forest Heights.......................... Frederick .................................. Frostburg .................................. Fruitland ................................... Glenarden ................................ Greenbelt ................................. Greensboro .............................. Hagerstown .............................. Hampstead ............................... Hancock.................................... Havre de Grace ....................... Hurlock..................................... Hyattsville ................................ Landover Hills ......................... La Plata..................................... Laurel........................................ Lonaconing .............................. Luke .......................................... Manchester............................... Morningside ............................. Mount Rainier ......................... New Carrollton ........................ North Brentwood ....................
Population
19,187 2,668 8,876 7,350 23,836 1,982 311 4,203 10,073 2,520 1,873 5,123 1,616 15,631 10,142 16,188 4,210 16,814 7,979 973 6,514 3,904 8,106 13,384 14,187 36,462 624,237 0 10,074 3,812 3,045 7,849 3,286 5,282 11,479 4,259 3,099 4,942 6,614 2,779 1,166 2,804 20,654 2,590 3,602 6,253 14,249 1,381 15,228 1,554 2,647 2,656 59,731 7,809 4,193 6,340 22,090 2,016 39,263 5,535 1,721 12,584 2,015 15,152 1,575 9,090 22,086 1,137 74 3,609 1,305 8,660 12,712 482
Violent crime
12 1 12 4 36 0 0 4 3 0 0 1 1 33 6 44 21 16 9 2 3 1 5 8 115 448 10,182 0 87 7 16 106 2 11 117 7 2 39 36 2 5 12 180 23 22 33 74 5 215 0 22 5 418 15 66 6 210 9 223 1 6 60 9 173 6 50 166 0 0 1 6 91 68 2
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 8 282 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 1 0 3 0 1 1 0 0 0 5 0 0 0 2 0 2 0 0 0 0 2 0 0 1 0 0 0 0 2 0 0
Forcible rape
0 1 6 2 5 0 0 0 1 0 0 0 0 14 1 11 1 6 7 1 0 0 1 3 4 5 146 0 4 1 0 2 0 2 2 2 0 2 1 0 0 1 7 2 2 0 3 0 2 0 4 0 20 3 0 1 10 0 11 0 0 1 0 6 0 0 5 0 0 0 0 2 6 0
Robbery
5 0 2 1 10 0 0 0 1 0 0 0 0 9 1 10 2 1 0 0 1 0 2 0 41 186 3,895 0 14 3 10 60 2 0 39 3 0 9 26 2 3 4 35 3 6 10 15 1 62 0 3 2 104 0 7 3 132 0 99 0 0 9 4 124 3 13 80 0 0 1 6 64 41 2
Aggravated assault
7 0 4 1 21 0 0 4 1 0 0 1 1 10 3 22 18 9 2 1 2 1 2 5 70 249 5,859 0 69 3 6 43 0 9 73 2 2 28 9 0 2 7 138 17 14 20 56 3 150 0 15 3 289 12 59 2 66 9 111 1 6 50 5 41 3 37 80 0 0 0 0 23 21 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
343 75 320 73 1,010 62 0 65 213 8 21 141 32 736 177 542 106 395 153 8 84 59 67 201 702 1,787 29,939 0 396 162 101 592 24 79 702 47 64 162 232 34 49 147 1,266 132 201 210 603 79 1,095 27 181 54 1,806 206 237 38 1,170 46 1,601 137 23 381 114 1,721 24 195 1,150 1 0 55 58 408 350 10
Burglary
60 20 58 18 114 3 0 6 19 5 2 44 9 130 36 111 35 80 46 0 21 15 9 41 98 412 7,381 0 49 16 16 99 7 16 129 14 19 37 44 5 3 22 293 35 33 55 85 10 279 3 56 22 275 55 41 10 130 15 270 14 1 64 38 146 10 50 174 0 0 27 5 68 70 0
Larcenytheft
268 51 256 51 869 58 0 57 187 3 17 93 23 588 139 411 69 299 103 7 57 43 55 154 567 1,180 16,742 0 326 145 60 314 16 60 558 17 43 124 122 27 32 119 935 89 155 115 507 46 730 15 115 26 1,417 146 186 16 768 27 1,214 119 19 297 66 1,392 10 134 755 1 0 24 34 211 205 7
Motor vehicle theft
15 4 6 4 27 1 0 2 7 0 2 4 0 18 2 20 2 16 4 1 6 1 3 6 37 195 5,816 0 21 1 25 179 1 3 15 16 2 1 66 2 14 6 38 8 13 40 11 23 86 9 10 6 114 5 10 12 272 4 117 4 3 20 10 183 4 11 221 0 0 4 19 129 75 3
Arson1
2 0 5 0 4 0 0 0 0 0 0 1 0 2 3 1 2 3 0 0 0 0 3 1 3 17 407 0 2 0 0 0 0 1 7 0 1 1 0 1 0 0 10 0 0 0 1 0 10 0 0 0 29 1 0 0 0 0 29 1 0 2 0 0 0 1 1 0 0 2 0 0 0 0
126
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MASSACHUSETTS
1 The
City
North East ................................ Oakland .................................... Ocean City................................ Ocean Pines.............................. Oxford....................................... Perryville .................................. Pocomoke City......................... Port Deposit ............................. Preston...................................... Princess Anne .......................... Ridgely...................................... Rising Sun ................................ Riverdale Park......................... Rock Hall ................................. Salisbury ................................... Seat Pleasant ............................ Smithsburg ............................... Snow Hill .................................. St. Michaels .............................. Sykesville.................................. Takoma Park............................ Taneytown ................................ Thurmont.................................. Trappe ....................................... University Park........................ Upper Marlboro ...................... Westernport ............................. Westminster ............................. Abington .................................. Acton ........................................ Acushnet .................................. Adams....................................... Agawam.................................... Amesbury ................................. Amherst.................................... Andover.................................... Aquinnah.................................. Arlington .................................. Ashburnham ............................ Ashfield .................................... Ashland .................................... Athol ......................................... Attleboro.................................. Auburn8 .................................... Avon8 ........................................ Ayer........................................... Barnstable ................................ Barre ......................................... Becket ....................................... Bedford..................................... Belchertown ............................. Bellingham ............................... Belmont .................................... Berkley ..................................... Berlin ........................................ Beverly...................................... Billerica..................................... Blackstone................................ Bolton ....................................... Boston....................................... Bourne ...................................... Boxborough ............................. Boxford..................................... Boylston.................................... Braintree................................... Brewster ................................... Bridgewater.............................. Brimfield................................... Brockton8 ................................. Brookline.................................. Burlington ................................ Cambridge7 .............................. Canton ...................................... Carver8 ......................................
Population
2,856 1,869 7,005 11,134 735 3,826 3,863 704 647 2,934 1,485 1,821 6,584 1,424 27,727 5,020 3,031 2,278 1,088 4,499 18,539 5,533 6,092 1,179 2,379 681 1,971 18,036 16,673 20,619 10,575 8,316 28,573 16,551 33,913 33,615 356 40,902 6,065 1,826 15,818 11,721 43,474 16,445 4,310 7,306 47,342 5,467 1,804 12,862 14,268 15,965 23,184 6,494 2,771 39,493 41,568 9,067 4,517 591,855 19,308 5,106 8,155 4,295 34,147 10,158 25,767 3,744 94,180 54,976 24,978 101,161 21,890 11,639
Violent crime
18 1 142 7 0 17 29 1 1 43 5 5 104 1 503 57 5 11 6 2 131 3 16 2 3 6 5 118 43 30 20 37 41 41 81 21 0 64 16 5 26 50 139
25 301 15 1 1 21 30 25 15 0 106 40 13 3 6,837 80 8 1 0 107 19 37 5 129 39 421 60
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 65 0 0 0 0 1 0 0 0 11 0 0 0 0 0
Forcible rape
0 0 15 2 0 1 3 0 0 2 0 0 1 0 24 2 1 2 0 1 4 1 0 1 0 0 1 0 2 3 3 1 4 3 14 4 0 6 3 0 5 4 8 5 0 3 17 1 0 0 2 1 5 2 0 10 4 1 1 263 3 1 0 0 2 1 5 0 42 1 2 12 5 1
Robbery
6 0 43 0 0 4 6 0 0 8 0 0 55 0 182 26 0 0 2 0 83 1 1 0 3 0 0 12 8 4 1 4 8 3 5 1 0 11 1 0 5 1 25 7 1 2 25 2 0 0 0 7 4 2 0 15 7 5 0 2,242 5 0 0 0 25 0 4 0 199 36 10 148 2 4
Aggravated assault
12 1 84 5 0 12 20 1 1 33 5 5 48 1 295 29 4 9 4 1 43 1 15 1 0 6 4 106 33 23 16 32 29 35 62 16 0 46 12 4 16 45 106
20 257 12 1 1 19 22 16 11 0 81 29 7 2 4,267 72 7 1 0 79 18 28 5 92 27 261 53
Property crime
163 63 1,295 163 8 148 243 20 16 159 47 85 371 30 2,390 252 42 43 62 44 699 122 55 10 55 25 54 739 316 283 170 265 428 239 391 396 2 638 68 12 84 183 962 528 181 151 1,252 89 48 179 189 309 242 51 29 668 589 121 37 24,579 674 37 62 27 921 127 186 6 3,321 1,008 881 3,616 261 92
Burglary
20 7 189 40 1 21 36 4 4 38 5 18 63 10 583 38 7 13 19 10 140 9 6 0 14 3 13 129 114 34 81 65 138 53 194 52 1 231 36 5 25 89 243 72 26 66 439 18 33 35 68 47 71 30 3 111 74 35 10 3,810 288 6 17 4 115 25 41 0 695 161 258 662 44 41
Larcenytheft
129 53 1,067 115 7 120 206 16 12 109 37 65 223 18 1,704 143 34 28 42 32 432 109 40 9 33 20 41 572 181 243 77 189 248 175 163 316 1 371 29 7 50 88 613 418 150 81 717 67 14 143 108 244 156 18 26 521 478 66 23 17,351 353 28 43 22 761 99 131 3 2,163 809 595 2,718 202 41
Motor vehicle theft
Arson1
14 3 39 8 0 7 1 0 0 12 5 2 85 2 103 71 1 2 1 2 127 4 9 1 8 2 0 38 21 6 12 11 42 11 34 28 0 36 3 0 9 6 106 38 5 4 96 4 1 1 13 18 15 3 0 36 37 20 4 3,418 33 3 2 1 45 3 14 3 463 38 28 236 15 10
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. Because of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data. 8 The data collection methodology for the offense of aggravated assault used by this agency does not comply with national UCR Program guidelines. Consequently, the figures for aggravated assault and violent crime (of which aggravated assault is a part) are not included in this table. 7
5 0 9 0 0 6 0 0 0 2 0 0 0 0 13 0 0 1 0 5 2 3 0 0 0 0 0 10 3 0 3 0 3 2 3 4 0 15 0 2 3 4 2 8 6 1 0 0 1 1 1 0 0 4 1 0 1 11 2 0 0 1 1 2 0 22 1 9 1 2
SECTION II: OFFENSES REPORTED 127 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Charlemont .............................. Charlton.................................... Chatham ................................... Chelmsford............................... Chelsea ..................................... Cheshire.................................... Chicopee................................... Clinton ...................................... Cohasset ................................... Concord .................................... Dalton ....................................... Danvers..................................... Dartmouth................................ Dedham .................................... Deerfield................................... Douglas..................................... Dover ........................................ Dracut ....................................... Dudley ...................................... East Bridgewater..................... East Brookfield........................ Eastham.................................... Easthampton............................ East Longmeadow................... Easton ....................................... Egremont.................................. Erving ....................................... Everett ...................................... Fairhaven .................................. Falmouth................................... Fitchburg8 ................................. Foxborough .............................. Framingham ............................. Franklin .................................... Freetown................................... Gardner .................................... Georgetown ............................. Gloucester ................................ Goshen...................................... Grafton ..................................... Granby...................................... Great Barrington..................... Greenfield8 ............................... Groton ...................................... Groveland ................................ Hadley....................................... Halifax ...................................... Hamilton................................... Hampden.................................. Hanover.................................... Hanson8 .................................... Hardwick .................................. Harvard..................................... Harwich .................................... Hatfield..................................... Haverhill................................... Hingham ................................... Hinsdale8 .................................. Holbrook .................................. Holden ...................................... Holliston ................................... Holyoke .................................... Hopedale .................................. Hopkinton ................................ Hubbardston ............................ Hudson ..................................... Hull ........................................... Ipswich...................................... Kingston ................................... Lakeville ................................... Lancaster .................................. Lawrence .................................. Lee ............................................ Leicester ................................... 1 The
Population
1,381 12,765 6,811 33,740 32,439 3,335 54,414 14,247 7,213 16,766 6,627 25,979 31,465 23,653 4,763 8,093 5,650 29,444 10,951 14,077 2,095 5,519 16,082 15,061 23,142 1,364 1,574 36,826 16,268 33,722 40,180 16,276 64,482 31,478 9,042 20,813 8,210 30,597 965 17,750 6,381 7,423 17,648 10,737 6,863 4,817 7,834 8,262 5,349 14,266 10,054 2,670 6,062 12,573 3,266 60,308 22,059 1,782 10,724 16,816 13,903 39,769 6,277 14,294 4,494 19,595 11,261 13,326 12,581 10,770 7,043 70,462 5,842 11,077
Violent crime
2 21 9 44 607 0 305 11 10 13 20 58 106 30 3 8 3 33 14 22 0 4 35 44 14 5 2 188 75 151 37 107 6 26 120 5 28 0 13 15 12 3 4 7 10 6 5 5 5 2 28 0 365 16 21 12 7 497 11 1 16 2 40 8 28 13 9 506 14 27
Murder and nonnegligent manslaughter 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0 0 0 1 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 4 0 0
Forcible rape
0 0 0 1 19 0 32 1 0 1 3 7 7 0 0 2 0 6 0 5 0 3 2 2 0 0 1 11 1 11 21 4 3 1 0 6 0 5 0 0 1 2 12 0 1 0 2 1 1 0 5 0 0 3 0 13 1 0 6 1 1 45 1 0 0 0 1 1 5 0 1 15 0 4
Robbery
0 0 1 6 207 0 52 1 1 0 0 11 17 7 0 1 1 6 0 1 0 0 1 9 3 1 0 57 15 10 39 2 29 1 0 10 0 4 0 0 1 0 9 0 0 4 1 0 1 2 3 0 0 2 0 81 1 0 9 0 0 54 1 0 0 2 3 0 5 1 0 128 0 1
Aggravated assault
2 21 8 36 379 0 221 9 9 12 17 40 82 23 3 5 2 21 12 16 0 1 32 33 11 4 1 119 58 130 30 75 4 26 103 5 19 0 12 13 9 3 3 3 7 5 3 3 5 2 23 0 271 14 6 11 6 396 9 1 16 0 36 7 18 11 8 359 14 22
Property crime
7 134 161 520 1,334 9 1,735 135 105 240 79 919 1,157 573 102 29 20 271 50 257 23 70 172 400 201 29 32 1,239 564 1,113 1,015 173 1,380 99 182 497 45 538 6 125 72 143 438 31 41 197 73 85 46 302 158 40 31 292 12 1,552 324 1 252 78 64 2,203 45 62 35 198 142 196 335 188 46 1,676 31 178
Burglary
2 43 28 63 372 6 474 39 17 58 20 65 188 63 31 9 7 106 27 56 7 12 55 54 54 9 18 289 140 548 293 72 211 14 77 139 14 82 4 41 19 31 165 10 8 42 15 27 18 42 44 14 15 134 4 720 67 1 81 11 19 421 23 6 11 18 56 64 48 72 22 451 3 35
Larcenytheft
5 75 131 438 756 2 1,055 85 82 178 54 809 907 481 69 16 13 152 21 190 15 57 99 332 131 20 13 782 404 495 645 85 1,018 76 83 328 30 445 2 73 47 107 238 21 31 146 51 54 24 255 103 24 12 157 7 626 248 0 153 64 40 1,569 17 56 23 165 76 125 263 110 19 817 25 128
Motor vehicle theft
Arson1
0 16 2 19 206 1 206 11 6 4 5 45 62 29 2 4 0 13 2 11 1 1 18 14 16 0 1 168 20 70 77 16 151 9 22 30 1 11 0 11 6 5 35 0 2 9 7 4 4 5 11 2 4 1 1 206 9 0 18 3 5 213 5 0 1 15 10 7 24 6 5 408 3 15
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. data collection methodology for the offense of aggravated assault used by this agency does not comply with national UCR Program guidelines. Consequently, the figures for aggravated assault and violent crime (of which aggravated assault is a part) are not included in this table.
8 The
0 0 0 0 10 3 0 1 1 2 2 6 0 0 2 0 1 0 4 0 0 4 2 0 0 1 1 5 6 9
0 4 6 1 0 0 0 0 6 0 0 0 0 0 1 0 3 0 2 2 0 17 1 0 3 2 15 1 0 1 0 4 0 2 2 2 0 1
128
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Lenox ........................................ Leominster8 .............................. Lexington ................................. Lincoln...................................... Littleton.................................... Longmeadow ........................... Lowell ....................................... Ludlow...................................... Lunenburg................................ Lynn .......................................... Lynnfield .................................. Malden...................................... Mansfield.................................. Marblehead .............................. Marion ...................................... Marlborough ............................ Marshfield ................................ Mashpee ................................... Mattapoisett ............................. Maynard ................................... Medfield ................................... Medford.................................... Medway .................................... Melrose ..................................... Mendon .................................... Merrimac .................................. Methuen ................................... Middleboro .............................. Middleton ................................. Milford...................................... Millbury8 ................................... Millis ......................................... Millville..................................... Milton ....................................... Monson ..................................... Montague ................................. Monterey .................................. Nahant ...................................... Natick........................................ Needham .................................. New Bedford............................ Newbury ................................... Newburyport............................ New Salem................................ Newton ..................................... Norfolk ..................................... North Adams ........................... Northampton ........................... North Andover ........................ North Attleboro....................... Northborough .......................... Northbridge.............................. North Brookfield8 ................... Northfield ................................. Norton ...................................... Norwell ..................................... Norwood................................... Oak Bluffs ................................ Oakham .................................... Orange ...................................... Orleans ..................................... Oxford....................................... Palmer....................................... Paxton ....................................... Peabody .................................... Pembroke ................................. Pepperell .................................. Pittsfield.................................... Plainville ................................... Plymouth .................................. Princeton .................................. Provincetown ........................... Quincy....................................... Randolph.................................. 1 The
Population
5,169 41,602 30,220 7,929 8,713 15,465 102,918 22,066 10,105 87,817 11,429 55,538 23,175 20,194 5,313 38,227 24,915 14,552 6,502 10,150 12,299 55,706 12,867 26,549 5,837 6,420 44,333 21,503 9,562 27,635 13,711 7,977 2,988 25,888 8,856 8,359 967 3,544 31,854 28,343 92,373 6,992 17,317 990 82,731 10,596 13,738 28,550 27,271 28,095 14,783 14,596 4,847 3,326 19,423 10,466 28,336 3,768 1,946 7,762 6,412 13,760 12,991 4,591 52,194 18,932 11,454 43,194 8,162 56,023 3,547 3,411 91,382 30,233
Murder and nonnegligent manslaughter
Violent crime
2 16 5 5 10 875 22 10 931 17 258 40 28 10 32 12 45 3 16 0 70 1 34 7 4 106 57 8 85 1 1 13 17 23 0 9 61 6 1,093 10 12 0 78 3 93 105 3 39 3 19 8 3 12 21 8 7 39 14 51 43 3 128 32 15 295 12 106 1 10 253 149
0 0 0 0 0 0 3 0 0 8 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 2 1 0 0 0 1 1 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 3
Forcible rape
0 11 2 2 1 2 44 3 0 45 0 4 3 1 1 4 1 4 0 2 0 4 1 4 1 2 6 6 0 4 4 0 1 0 4 3 0 0 7 0 40 0 1 0 8 1 6 8 0 6 0 3 0 1 0 0 1 1 1 2 1 3 4 0 7 2 2 43 3 5 0 0 16 13
Robbery
0 28 1 0 1 3 241 2 0 192 2 87 6 2 0 10 4 4 1 1 0 42 0 8 0 0 20 9 0 9 2 0 0 6 0 2 0 1 12 1 286 1 2 0 13 0 8 17 0 6 0 3 0 0 2 2 5 0 0 4 2 7 6 0 16 4 0 37 1 14 0 0 70 30
Aggravated assault
2 13 3 3 5 587 17 10 686 15 166 31 25 9 18 7 37 2 13 0 21 0 22 6 2 79 42 8 70 1 0 7 12 17 0 8 42 4 765 9 9 0 57 2 79 80 3 27 3 13 7 0 10 15 7 6 33 11 41 31 3 105 26 13 215 8 87 1 10 165 103
Property crime
64 1,169 333 25 63 222 3,326 254 146 2,697 217 1,530 374 241 168 609 211 354 94 28 55 1,556 62 409 36 32 959 453 82 413 176 43 34 238 119 151 3 43 648 251 3,152 48 198 4 1,306 43 507 959 284 690 104 265 29 46 125 124 524 111 54 203 190 113 202 21 1,235 212 130 1,135 165 824 47 181 1,877 843
Burglary
11 204 65 8 12 89 953 71 46 1,105 116 387 135 33 37 108 38 105 13 5 15 240 7 81 13 12 166 122 0 78 51 9 12 48 41 59 2 5 81 33 900 22 34 1 184 11 176 195 65 97 16 58 8 13 36 41 90 24 28 70 36 38 67 4 126 62 24 448 55 177 30 11 589 125
Larcenytheft
52 881 262 17 46 128 1,891 161 95 1,202 93 979 226 197 120 457 167 232 73 20 38 1,210 52 291 21 20 718 281 79 299 107 31 20 172 64 87 1 36 528 215 1,859 26 152 2 1,079 32 294 708 210 552 84 195 16 31 81 78 397 84 20 126 152 58 117 15 1,002 133 97 608 106 611 15 164 1,147 642
Motor vehicle theft
Arson1
1 84 6 0 5 5 482 22 5 390 8 164 13 11 11 44 6 17 8 3 2 106 3 37 2 0 75 50 3 36 18 3 2 18 14 5 0 2 39 3 393 0 12 1 43 0 37 56 9 41 4 12 5 2 8 5 37 3 6 7 2 17 18 2 107 17 9 79 4 36 2 6 141 76
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. data collection methodology for the offense of aggravated assault used by this agency does not comply with national UCR Program guidelines. Consequently, the figures for aggravated assault and violent crime (of which aggravated assault is a part) are not included in this table.
8 The
0 5 1 2 0 4 0 0 3 0 0 4 0 1 1 1 2 0 1 1 0 0 0 3 4 7 0 6 2 0 0 0 2 0 0 2 0 33 1 2 0 1 0 5 9 0 3 0 3 0 0 0 0 3 0 2 1 0 10 4 1 4 0 0 6 2 3 1 0 12 2
SECTION II: OFFENSES REPORTED 129 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Raynham .................................. Reading .................................... Rehoboth.................................. Revere ...................................... Rochester ................................. Rockland .................................. Rockport .................................. Rowley...................................... Royalston ................................. Rutland ..................................... Salem......................................... Salisbury ................................... Sandwich .................................. Saugus ....................................... Savoy......................................... Scituate ..................................... Seekonk .................................... Sharon....................................... Shelburne ................................. Sherborn ................................... Shirley ....................................... Shrewsbury............................... Somerset ................................... Somerville ................................ Southampton8 .......................... Southborough .......................... Southbridge.............................. South Hadley ........................... Southwick ................................. Spencer ..................................... Springfield ................................ Sterling...................................... Stockbridge .............................. Stoughton ................................. Stow........................................... Sturbridge................................. Sudbury .................................... Sunderland ............................... Sutton........................................ Swampscott .............................. Swansea .................................... Taunton..................................... Templeton ................................ Tewksbury ................................ Topsfield ................................... Townsend.................................. Truro ......................................... Tyngsboro ................................. Upton........................................ Uxbridge................................... Wakefield ................................. Wales......................................... Walpole..................................... Waltham ................................... Ware .......................................... Wareham .................................. Watertown ................................ Wayland .................................... Webster..................................... Wellesley................................... Wellfleet ................................... Wenham.................................... Westborough............................ West Boylston .......................... Westfield8 ................................. Westford ................................... Westhampton ........................... West Newbury.......................... Westport ................................... West Springfield ...................... West Tisbury............................. Westwood ................................. Weymouth ................................ Whately..................................... 1 The
Population
13,975 23,004 11,551 46,658 5,530 17,914 7,677 5,927 1,399 7,800 41,507 8,506 20,584 27,214 732 18,116 13,681 17,100 2,045 4,217 7,661 33,485 18,473 74,156 6,010 9,674 17,109 17,011 9,719 12,153 151,074 7,927 2,256 26,814 6,263 9,141 17,061 3,778 9,154 14,097 16,271 56,091 7,812 29,450 6,128 9,343 2,163 11,584 6,597 12,818 24,557 1,853 23,199 59,425 10,031 21,472 32,065 12,954 16,886 26,966 2,798 4,609 18,740 7,810 40,518 21,624 1,601 4,306 15,280 27,854 2,673 13,790 53,553 1,578
Violent crime
43 14 10 266 7 26 7 5 2 13 134 45 41 94 0 12 30 8 1 0 7 13 47 289 0 112 27 13 40 2,068 6 6 105 3 18 5 9 17 6 50 290 19 53 1 12 1 16 8 10 49 2 11 125 31 153 56 0 76 21 9 5 20 5 1 1 11 29 124 0 6 112 1
Murder and nonnegligent manslaughter 0 0 0 3 0 0 0 0 0 1 0 1 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 20 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
Forcible rape
1 0 0 19 0 3 2 0 0 4 15 5 6 5 0 0 2 1 0 0 2 4 1 17 1 0 8 0 1 2 91 0 0 4 0 6 0 1 1 1 3 12 2 5 0 2 0 1 2 2 5 0 2 11 2 8 3 0 3 1 2 1 3 2 11 0 0 0 0 5 0 0 9 0
Robbery
17 3 1 50 1 11 0 0 1 0 21 3 4 18 0 0 4 2 0 0 0 0 6 119 0 0 12 0 2 2 690 0 0 13 0 1 0 0 1 2 5 71 4 13 1 1 1 1 1 0 6 0 1 19 1 22 12 0 11 2 0 0 2 1 12 1 0 0 0 33 0 1 22 1
Aggravated assault
25 11 9 194 6 12 5 5 1 8 98 36 31 69 0 12 24 5 1 0 5 9 40 152 0 92 27 10 34 1,267 6 6 88 3 11 4 8 15 3 42 206 13 35 0 9 0 14 5 7 38 2 8 95 28 122 41 0 61 18 7 4 15 2 0 1 11 29 85 0 5 80 0
Property crime
432 269 128 1,704 65 296 18 31 14 48 792 168 381 997 8 167 558 110 9 22 31 377 323 2,252 37 33 430 266 161 141 7,942 69 77 423 29 163 107 29 103 318 311 1,230 111 452 78 108 24 131 61 126 290 8 300 820 123 596 610 82 352 235 60 46 309 193 657 95 7 30 217 1,209 6 149 891 15
Burglary
72 41 48 417 31 79 2 7 9 13 148 83 91 248 3 50 76 13 1 7 7 40 48 436 9 13 206 93 52 37 2,027 37 26 154 12 31 8 11 45 28 47 472 48 92 11 56 0 23 13 55 49 2 29 172 34 206 114 16 74 63 6 18 95 28 274 11 3 10 114 218 2 22 203 3
Larcenytheft
327 219 70 1,065 29 201 14 22 5 34 614 75 277 679 3 113 449 93 7 14 21 308 261 1,533 25 15 199 154 96 99 4,694 32 46 230 17 123 96 16 52 281 237 582 52 329 62 50 24 94 37 65 220 5 258 594 81 354 464 65 250 169 51 24 185 152 354 82 3 18 87 870 4 110 611 11
Motor vehicle theft
Arson1
33 9 10 222 5 16 2 2 0 1 30 10 13 70 2 4 33 4 1 1 3 29 14 283 3 5 25 19 13 5 1,221 0 5 39 0 9 3 2 6 9 27 176 11 31 5 2 0 14 11 6 21 1 13 54 8 36 32 1 28 3 3 4 29 13 29 2 1 2 16 121 0 17 77 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 8 The data collection methodology for the offense of aggravated assault used by this agency does not comply with national UCR Program guidelines. Consequently, the figures for aggravated assault and violent crime (of which aggravated assault is a part) are not included in this table.
3 0 1 9 0 0 0 0 0 0 2 1 1 1 2 1 1 0 0 0 2 2 1 1 6 1 1 0 63 1 0 2 1 3 0 0 2 0 0 7 4 4 0 1 0 0 0 4 3 0 0 1 2 3 0 1 1 0 0 0 1 1 4 0 2 3 1 0 0 1
130
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MICHIGAN
1 The
City
Wilbraham................................ Williamsburg ............................ Williamstown ........................... Winchendon ............................. Winchester................................ Winthrop .................................. Woburn ..................................... Worcester ................................. Wrentham................................. Yarmouth8 ................................ Adrian....................................... Albion ....................................... Algonac .................................... Allegan ..................................... Allen Park ................................ Alma ......................................... Almont...................................... Ann Arbor................................ Argentine Township................ Armada..................................... Auburn...................................... Auburn Hills ............................ Bad Axe .................................... Bangor ...................................... Baraga....................................... Bath Township ......................... Battle Creek............................. Bay City .................................... Belding...................................... Belleville................................... Benton Harbor ........................ Benton Township..................... Berkley ..................................... Berrien Springs-Orono ........... Beverly Hills ............................ Big Rapids ................................ Birch Run ................................. Birmingham ............................. Blackman Township ................ Blissfield ................................... Bloomfield Hills ...................... Bloomfield Township .............. Bloomingdale........................... Bridgeport Township............... Bridgman.................................. Brighton.................................... Bronson .................................... Brown City ............................... Brownstown Township............ Buena Vista Township............. Burr Oak .................................. Burton....................................... Cadillac ..................................... Calumet .................................... Canton Township..................... Capac ........................................ Carleton.................................... Caro .......................................... Carrollton Township ............... Cass City................................... Cassopolis................................. Cedar Springs........................... Center Line .............................. Charlotte................................... Cheboygan ............................... Chelsea ..................................... Chesterfield Township ............ Chikaming Township............... Chocolay Township ................. Clare.......................................... Clawson .................................... Clayton Township.................... Clay Township.......................... Clinton ......................................
Population
14,123 2,440 8,159 10,221 21,155 17,056 36,996 175,825 11,215 24,304 21,612 9,267 4,585 4,963 27,384 9,231 2,863 113,011 7,328 1,640 2,058 21,149 3,163 1,881 1,242 11,721 62,143 34,145 5,872 3,766 10,567 15,626 14,906 9,570 9,955 10,536 1,700 19,149 25,461 3,251 3,818 41,231 504 11,134 2,429 7,326 2,294 1,294 30,336 9,631 759 30,958 10,329 797 88,126 2,308 2,947 4,136 6,128 2,568 1,792 3,287 8,209 9,047 5,114 5,014 45,849 3,686 5,989 3,198 12,175 7,885 9,848 2,439
Violent crime
23 3 6 52 6 61 116 1,531 0 123 99 13 76 2 17 10 298 8 2 1 85 2 15 1 10 818 164 22 5 137 189 13 16 15 23 5 25 65 4 2 19 1 34 0 14 2 0 67 179 2 131 45 4 110 1 4 10 21 2 3 14 25 29 20 5 161 2 0 18 14 11 3 5
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 6 0 0 0 4 0 0 0 0 0 0 0 0 0 1 1 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 2 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 0 2 1 0 1 6 93 0 6 37 5 1 3 0 3 1 30 1 0 0 12 0 4 0 1 89 20 12 0 6 18 4 7 0 6 0 1 11 1 0 3 0 1 0 2 1 0 2 10 2 6 12 1 21 0 1 4 1 0 0 1 4 15 7 2 13 0 0 8 1 2 1 0
Robbery
4 0 0 6 2 10 17 371 0 14 14 18 0 0 0 0 0 66 1 0 0 21 0 2 0 0 130 50 0 4 28 33 6 1 3 3 2 5 11 0 1 8 0 8 0 4 0 0 8 33 0 40 4 0 19 0 0 0 5 0 0 0 10 2 1 1 15 0 0 0 0 1 0 1
Aggravated assault
19 3 4 45 4 50 93 1,061 0 72 72 12 73 2 14 9 202 6 2 1 51 1 9 1 9 596 93 10 1 103 138 3 8 12 14 3 19 42 3 1 8 1 25 0 8 1 0 56 134 0 84 29 3 69 1 3 6 15 2 3 13 11 12 12 2 133 2 0 10 13 8 2 4
Property crime
185 38 165 170 351 221 942 6,025 46 711 834 381 42 66 264 55 92 2,777 115 13 25 1,111 116 97 17 116 3,591 1,170 237 146 285 1,298 186 272 122 380 144 392 633 59 61 683 25 282 79 264 35 32 691 534 8 1,507 525 21 1,562 47 47 180 325 30 23 112 248 327 189 135 1,227 82 30 186 152 107 170 41
Burglary
32 21 29 54 69 71 110 1,308 9 269 176 86 9 9 61 32 25 572 26 0 3 138 15 9 3 34 1,001 298 33 16 135 195 25 37 24 59 6 65 85 11 14 129 2 96 8 18 8 0 182 238 1 286 70 3 277 8 4 36 67 2 5 18 36 63 22 14 175 9 1 14 47 28 43 5
Larcenytheft
133 16 134 101 276 145 750 3,815 36 406 638 275 31 54 158 20 62 2,046 83 12 20 895 99 85 14 76 2,397 792 198 122 126 1,032 147 227 91 311 136 303 520 47 46 514 23 171 69 239 27 32 403 255 6 1,101 437 16 1,165 38 39 139 236 28 17 87 139 254 163 117 966 73 29 167 99 70 117 35
Motor vehicle theft
Arson1
20 1 2 15 6 5 82 902 1 36 20 20 2 3 45 3 5 159 6 1 2 78 2 3 0 6 193 80 6 8 24 71 14 8 7 10 2 24 28 1 1 40 0 15 2 7 0 0 106 41 1 120 18 2 120 1 4 5 22 0 1 7 73 10 4 4 86 0 0 5 6 9 10 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. data collection methodology for the offense of aggravated assault used by this agency does not comply with national UCR Program guidelines. Consequently, the figures for aggravated assault and violent crime (of which aggravated assault is a part) are not included in this table.
8 The
1 0 2 2 3 4 4 18 0 8 4 4 1 1 1 0 1 15 0 0 0 0 0 0 0 0 26 13 0 0 1 3 1 2 0 2 0 7 5 1 0 3 0 1 2 2 1 0 6 8 0 4 8 0 5 0 0 0 0 0 0 4 2 6 0 1 13 0 0 3 0 0 0 0
SECTION II: OFFENSES REPORTED 131 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Clinton Township..................... Clio............................................ Coldwater ................................. Coleman ................................... Coloma Township.................... Colon ........................................ Columbia Township................. Constantine .............................. Corunna.................................... Covert Township...................... Croswell.................................... Davison..................................... Dearborn .................................. Dearborn Heights.................... Decatur ..................................... Denton Township .................... Detroit ...................................... Dewitt ....................................... Dewitt Township...................... Douglas..................................... Dowagiac.................................. Dryden Township .................... East Grand Rapids.................. East Jordan............................... East Lansing............................. Eastpointe ................................ East Tawas................................ Eaton Rapids ........................... Eau Claire ................................ Elk Rapids................................ Elkton ....................................... Emmett Township ................... Erie Township .......................... Escanaba................................... Essexville.................................. Evart ......................................... Farmington ............................... Farmington Hills...................... Fenton....................................... Ferndale.................................... Flat Rock .................................. Flint ........................................... Flint Township ......................... Flushing .................................... Flushing Township................... Forsyth Township..................... Fowlerville................................ Frankenmuth............................ Frankfort .................................. Franklin .................................... Fraser ........................................ Fremont .................................... Fruitport ................................... Garden City.............................. Gaylord..................................... Genesee Township................... Gerrish Township .................... Gibraltar ................................... Gladstone ................................. Gladwin .................................... Grand Blanc............................. Grand Blanc Township ........... Grand Ledge ............................ Grand Rapids........................... Grayling.................................... Green Oak Township .............. Greenville................................. Grosse Ile Township................ Grosse Pointe........................... Grosse Pointe Farms ............... Grosse Pointe Park.................. Grosse Pointe Shores .............. Grosse Pointe Woods .............. Hamburg Township ................. 1 The
Population
96,948 2,606 10,711 1,252 6,662 1,173 7,734 2,149 3,375 3,123 2,554 5,294 91,748 54,901 1,872 5,649 860,971 4,399 13,295 2,209 5,913 4,773 10,309 2,270 45,979 32,797 2,808 5,304 632 1,708 783 12,048 4,780 12,494 3,523 1,717 9,930 79,475 12,151 21,207 9,739 116,024 32,626 8,014 10,394 4,855 3,148 4,777 1,480 2,977 15,068 4,303 1,080 28,282 3,749 23,961 3,198 5,300 5,252 2,984 7,749 36,319 7,708 192,376 1,902 18,279 8,374 10,455 5,289 9,099 11,606 2,644 15,998 22,486
Violent crime
308 9 34 0 15 2 4 11 5 15 3 5 466 212 20 7 19,708 6 23 4 43 3 3 0 201 243 10 11 0 4 0 59 9 5 0 4 17 142 16 93 13 2,741 188 10 9 6 7 7 5 2 27 15 41 94 13 91 5 12 6 11 17 49 4 1,874 1 23 37 10 15 6 22 0 23 8
Murder and nonnegligent manslaughter 3 0 0 0 0 0 0 1 0 0 0 0 1 2 0 0 394 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 30 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 20 0 0 0 0 0 0 0 0 0 0
Forcible rape
24 1 9 0 3 1 0 4 1 4 0 0 27 14 4 1 341 0 4 1 5 0 1 0 22 13 1 3 0 0 0 4 2 2 0 1 2 13 1 6 0 109 19 3 1 2 3 1 0 0 2 6 6 1 6 10 2 1 2 2 1 4 2 69 0 3 12 0 0 1 1 0 2 0
Robbery
76 1 2 0 1 0 0 0 0 1 0 1 146 63 1 0 6,575 0 4 0 9 0 1 0 34 50 2 0 0 0 0 9 0 0 0 0 6 27 3 24 0 665 72 2 0 0 0 1 0 1 4 1 8 30 0 20 0 2 1 0 4 10 0 669 0 2 4 0 4 1 3 0 6 0
Aggravated assault
205 7 23 0 11 1 4 6 4 10 3 4 292 133 15 6 12,398 6 15 3 28 3 1 0 145 178 7 8 0 4 0 46 6 3 0 3 9 102 12 62 13 1,937 94 5 8 4 4 5 5 1 21 8 27 63 6 61 3 9 3 9 12 34 2 1,116 1 18 21 10 11 4 18 0 15 8
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
2,299 92 423 59 236 44 211 116 85 98 81 104 4,333 1,534 175 119 58,302 32 173 109 293 45 134 113 978 1,116 175 158 17 67 31 600 63 495 99 55 192 1,517 288 735 205 7,246 2,146 173 124 60 100 120 42 54 556 175 774 645 213 681 52 119 143 95 229 765 185 10,149 93 262 459 93 141 204 354 4 285 172
Burglary
534 18 60 9 69 5 33 7 15 28 20 22 581 491 19 45 17,767 5 67 32 41 16 29 7 231 181 27 20 2 7 2 95 22 88 15 13 35 403 49 137 39 3,241 471 22 34 14 13 36 7 14 86 23 45 146 32 206 13 12 28 16 53 187 19 2,629 14 46 63 18 15 21 37 4 29 44
Larcenytheft
1,454 71 345 49 157 36 169 104 66 57 55 79 2,945 705 152 72 20,918 24 98 75 240 26 100 104 700 579 144 137 15 60 27 493 33 400 82 42 146 949 218 420 149 2,965 1,471 138 82 38 85 83 33 39 437 151 711 411 176 411 38 105 110 78 165 524 159 6,931 75 195 381 75 98 141 243 0 214 123
Motor vehicle theft
311 3 18 1 10 3 9 5 4 13 6 3 807 338 4 2 19,617 3 8 2 12 3 5 2 47 356 4 1 0 0 2 12 8 7 2 0 11 165 21 178 17 1,040 204 13 8 8 2 1 2 1 33 1 18 88 5 64 1 2 5 1 11 54 7 589 4 21 15 0 28 42 74 0 42 5
Arson1
17 2 1 0 2 0 1 1 0 3 0 0 24 11 0 0 758 0 1 0 1 0 1 0 21 16 1 2 0 1 0 1 0 2 0 0 0 7 2 1 1 240 10 0 2 0 0 0 0 0 2 0 1 7 1 6 4 0 0 1 0 6 0 119 0 3 1 0 0 0 0 0 0 0
132
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Hampton Township ................. Hamtramck .............................. Hancock.................................... Harbor Beach .......................... Harbor Springs ........................ Harper Woods.......................... Hart ........................................... Hartford.................................... Hastings .................................... Hazel Park................................ Hillsdale.................................... Holly ......................................... Homer....................................... Houghton ................................. Howard City............................. Howell....................................... Hudson ..................................... Huntington Woods .................. Huron Township ...................... Imlay City................................. Inkster....................................... Ionia .......................................... Iron Mountain ......................... Iron River................................. Ishpeming ................................. Ithaca ........................................ Jackson...................................... Jonesville .................................. Kalamazoo ............................... Kalamazoo Township.............. Kalkaska ................................... Keego Harbor .......................... Kentwood ................................. Kingsford.................................. Laingsburg................................ Lake Angelus ........................... Lake Odessa............................. Lake Orion............................... Lakeview .................................. Lansing ..................................... Lapeer....................................... Lapeer Township ..................... Lathrup Village........................ Laurium .................................... Lawton...................................... Lennon...................................... Leoni Township ....................... Lincoln Park............................. Lincoln Township .................... Linden....................................... Litchfield .................................. Livonia...................................... Lowell ....................................... Ludington ................................. Luna Pier .................................. Madison Heights...................... Madison Township................... Mancelona................................ Manistee ................................... Marine City .............................. Marlette .................................... Marquette................................. Marshall.................................... Marysville ................................. Mattawan.................................. Memphis ................................... Mendon .................................... Menominee .............................. Meridian Township.................. Metamora Township ............... Midland .................................... Milan ......................................... Milford...................................... Monroe ..................................... 1 The
Population
9,827 21,448 4,156 1,670 1,575 13,284 2,004 2,407 7,091 18,211 7,842 6,410 1,785 7,017 1,615 9,921 2,378 5,866 16,354 3,825 28,233 12,595 7,963 3,085 6,440 3,074 34,325 2,281 71,462 21,497 2,207 2,848 46,748 5,426 1,276 312 2,281 2,759 1,120 113,643 9,372 5,214 4,112 2,001 1,839 501 13,889 37,294 14,496 3,560 1,422 96,261 4,159 8,433 1,550 29,901 7,977 1,380 6,604 4,417 2,047 20,467 7,244 10,135 2,945 1,123 922 8,537 37,958 4,796 41,540 5,686 6,629 21,787
Violent crime
23 321 5 9 1 172 8 13 21 70 12 20 6 16 16 31 6 2 27 6 379 19 7 6 17 6 225 10 835 50 4 7 205 7 0 0 2 8 1 1,244 24 0 19 6 6 0 17 147 19 0 2 153 2 34 4 95 5 3 8 8 8 22 31 14 1 3 1 12 78 4 69 11 29 70
Murder and nonnegligent manslaughter 1 3 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 2 0 4 0 0 0 0 0 1 0 9 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 2 0 0 0 1 0 1 0 1 0 0 2 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0
Forcible rape
4 7 1 3 1 9 3 1 11 6 1 2 3 2 6 2 0 0 3 0 32 9 2 3 6 1 39 2 81 6 1 0 24 2 0 0 1 0 1 92 4 0 1 0 0 0 2 7 5 0 0 27 1 8 0 4 0 1 2 0 0 6 2 5 0 1 0 3 9 1 13 1 3 7
Robbery
0 123 1 0 0 62 0 0 1 24 0 1 0 0 0 2 0 1 2 1 86 1 0 0 2 0 50 1 302 13 1 1 35 0 0 0 0 2 0 269 2 0 5 0 0 0 1 60 3 0 0 31 0 1 0 19 0 0 0 1 0 3 6 0 0 0 0 2 23 0 18 2 1 23
Aggravated assault
18 188 3 6 0 100 5 12 9 40 11 17 3 14 9 27 6 1 20 5 257 9 5 3 9 5 135 7 443 31 2 6 146 5 0 0 1 6 0 867 18 0 13 6 6 0 14 78 11 0 2 94 1 24 4 71 5 2 4 7 8 13 22 9 0 2 1 7 46 3 38 8 25 40
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
350 1,201 75 37 30 1,354 94 105 230 618 182 110 41 118 81 295 64 83 319 128 1,133 301 159 97 145 81 1,682 120 4,472 626 134 40 1,738 102 46 4 35 72 51 4,124 400 24 72 35 51 3 210 1,672 306 26 33 2,418 37 314 62 1,144 40 26 156 140 52 451 229 239 88 21 21 316 952 62 1,044 155 127 709
Burglary
33 328 22 6 4 137 13 18 23 112 35 26 5 5 13 47 10 9 65 29 500 43 14 14 7 5 281 13 1,039 193 13 6 371 7 12 1 2 9 9 1,252 36 2 17 6 11 1 51 271 42 1 5 421 5 56 9 275 4 5 17 30 10 57 39 35 4 11 1 66 177 24 176 22 18 125
Larcenytheft
304 418 49 31 25 894 78 82 199 335 138 79 34 111 64 239 53 67 188 95 464 253 143 75 130 72 1,291 107 3,089 388 112 29 1,297 94 34 3 33 59 41 2,517 356 20 48 29 38 2 141 1,078 253 24 27 1,730 29 249 50 697 36 21 133 109 40 378 170 198 82 9 19 243 749 34 844 129 103 539
Motor vehicle theft
13 455 4 0 1 323 3 5 8 171 9 5 2 2 4 9 1 7 66 4 169 5 2 8 8 4 110 0 344 45 9 5 70 1 0 0 0 4 1 355 8 2 7 0 2 0 18 323 11 1 1 267 3 9 3 172 0 0 6 1 2 16 20 6 2 1 1 7 26 4 24 4 6 45
Arson1
3 18 0 0 0 3 0 0 0 2 1 0 0 0 1 2 0 0 1 0 20 2 2 1 0 0 10 1 53 7 1 0 1 0 0 0 0 3 0 53 1 0 2 0 0 0 1 5 0 0 0 21 0 0 0 9 0 0 1 1 0 1 2 1 0 0 0 1 6 0 4 2 1 5
SECTION II: OFFENSES REPORTED 133 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Montague ................................. Montrose Township................. Morenci..................................... Mount Morris........................... Mount Morris Township ......... Mount Pleasant........................ Munising ................................... Muskegon ................................. Muskegon Heights .................. Napoleon Township................. Nashville ................................... Negaunee.................................. Newaygo ................................... New Baltimore......................... New Buffalo ............................. Niles .......................................... North Branch ........................... Northfield Township ............... North Muskegon ..................... Northville ................................. Northville Township................ Norton Shores.......................... Norway ..................................... Novi........................................... Oak Park .................................. Ontwa TownshipEdwardsburg............................ Orchard Lake........................... Oscoda Township..................... Otsego....................................... Ovid........................................... Owosso ..................................... Oxford....................................... Parchment ................................ Parma-Sandstone..................... Paw Paw.................................... Pentwater ................................. Perry.......................................... Petoskey ................................... Pinckney ................................... Pinconning................................ Pittsfield Township .................. Plainwell ................................... Pleasant Ridge ......................... Plymouth .................................. Plymouth Township................. Pontiac ...................................... Portage...................................... Port Huron ............................... Portland .................................... Prairieville Township............... Raisin Township....................... Redford Township ................... Richfield Township, Genesee County ...................... Richmond ................................. Riverview ................................. Rochester ................................. Rockford .................................. Romeo ...................................... Romulus ................................... Roosevelt Park ........................ Roseville ................................... Royal Oak ................................ Saginaw..................................... Saginaw Township ................... Saline ........................................ Sandusky .................................. Sault Ste. Marie........................ Schoolcraft ............................... Scottville ................................... Shelby Township...................... Somerset Township ................. Southfield ................................. Southgate.................................. South Haven ............................ 1 The
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
2,305 7,919 2,323 3,308 22,966 26,270 2,350 39,562 11,698 7,148 1,697 4,429 1,670 12,071 2,429 11,491 1,009 8,383 3,968 6,202 26,528 23,567 2,897 55,127 30,771
1 11 5 20 184 57 1 389 219 5 2 4 10 13 5 52 6 33 1 5 22 59 1 34 161
0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 4 1 1 17 15 0 35 15 2 0 3 4 3 2 8 0 6 0 0 2 7 0 5 10
0 0 0 3 49 4 0 77 48 0 1 0 0 3 0 14 0 0 0 1 3 11 0 5 54
1 7 4 16 118 37 1 277 155 3 1 1 6 7 3 30 6 27 1 4 16 41 1 24 96
49 135 76 156 1,073 699 24 2,252 916 73 48 105 124 211 42 487 26 196 100 89 427 958 60 1,150 1,052
9 36 14 29 433 138 6 396 187 21 2 17 19 35 6 73 5 37 10 20 76 135 4 165 260
38 90 61 118 514 534 17 1,693 621 48 45 81 99 168 35 390 19 136 89 68 325 790 54 939 596
2 9 1 9 126 27 1 163 108 4 1 7 6 8 1 24 2 23 1 1 26 33 2 46 196
0 3 0 2 11 6 0 8 22 0 0 0 1 3 0 1 0 3 1 0 0 4 0 4 3
5,930 2,230 7,028 3,900 1,415 15,341 3,583 1,778 6,902 3,294 988 2,084 6,128 2,470 1,327 34,615 3,952 2,471 9,046 26,751 67,059 45,287 31,166 3,793 3,553 7,358 48,489
31 2 31 9 0 75 4 9 6 21 1 1 7 7 1 57 4 3 10 15 1,259 104 265 5 2 5 171
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 19 1 0 0 0 0 1
5 0 12 6 0 16 0 0 0 2 0 0 0 1 0 5 2 2 0 1 44 20 28 1 1 0 1
2 0 2 2 0 4 0 1 0 1 0 1 0 0 0 18 2 0 1 4 339 20 63 0 0 0 77
24 2 17 1 0 55 4 8 6 18 1 0 7 6 1 34 0 1 9 9 857 63 174 4 1 5 92
204 51 274 86 10 701 64 65 52 187 17 40 184 55 56 923 165 26 155 475 3,116 2,124 1,419 66 23 28 1,905
38 5 73 15 2 104 9 8 11 19 4 2 17 5 16 144 2 3 27 87 1,287 343 319 9 12 6 476
154 46 192 70 8 568 53 55 38 158 12 36 160 48 39 690 159 22 116 353 1,215 1,708 1,009 53 10 21 977
12 0 9 1 0 29 2 2 3 10 1 2 7 2 1 89 4 1 12 35 614 73 91 4 1 1 452
3 0 3 0 0 9 0 0 0 0 0 0 1 0 1 2 1 0 2 1 32 13 15 0 0 0 12
8,874 5,804 12,447 11,360 5,248 3,806 24,269 3,790 47,329 57,695 56,989 39,736 8,955 2,676 14,279 1,482 1,263 71,736 4,767 75,830 29,074 5,182
12 33 8 19 24 6 138 4 242 175 1,678 75 12 10 42 2 3 123 0 745 71 29
0 1 0 0 0 0 2 0 0 0 17 0 0 0 0 0 0 1 0 2 0 0
4 2 2 4 1 0 16 0 30 20 66 6 4 2 11 2 0 18 0 26 10 9
0 1 1 1 0 0 29 3 48 29 264 29 2 1 4 0 0 12 0 170 18 4
8 29 5 14 23 6 91 1 164 126 1,331 40 6 7 27 0 3 92 0 547 43 16
124 163 236 166 134 65 975 300 2,262 1,244 2,764 1,195 202 174 643 69 55 1,193 49 3,260 1,313 254
54 15 16 17 20 6 210 18 313 226 1,613 280 21 14 120 13 9 210 10 755 104 40
55 146 183 137 110 56 563 276 1,526 878 825 872 177 157 498 52 42 862 37 1,865 986 206
15 2 37 12 4 3 202 6 423 140 326 43 4 3 25 4 4 121 2 640 223 8
0 1 1 4 3 0 9 0 6 5 230 7 3 1 4 0 0 3 0 6 16 4
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
134
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MINNESOTA6
1 The
City
South Lyon ............................... Sparta........................................ Spring Arbor Townshi............. Springfield ................................ Spring Lake-Ferrysbur............ St. Charles ................................ St. Clair ..................................... St. Clair Shores ........................ Sterling Heights ....................... St. Ignace .................................. St. Johns .................................... St. Joseph .................................. St. Joseph Township................. St. Louis .................................... Stockbridge .............................. Sturgis ....................................... Summit Township .................... Swartz Creek............................ Sylvan Lake.............................. Taylor ........................................ Tecumseh.................................. Thomas Township.................... Three Rivers............................. Tittabawassee Townsh............. Traverse City ............................ Troy ........................................... Tuscarora Township................. Unadilla Township................... Union City................................ Utica.......................................... Van Buren Township............... Vernon ...................................... Walker....................................... Walled Lake ............................. Warren4 ..................................... Waterford Township................ Waterloo Township.................. Wayland .................................... Wayne ....................................... West Bloomfield Tow.............. West Branch ............................. Westland ................................... White Cloud............................. White Lake Township ............. White Pigeon............................ Wixom....................................... Wolverine Lake ....................... Woodhaven .............................. Wyandotte ................................ Wyoming .................................. Yale ........................................... Ypsilanti ................................... Zeeland..................................... Albany ...................................... Albert Lea ................................ Alexandria................................ Annandale................................ Anoka ....................................... Appleton .................................. Apple Valley............................. Austin........................................ Avon.......................................... Baxter ....................................... Bayport ..................................... Becker....................................... Belgrade ................................... Belle Plaine .............................. Bemidji ..................................... Benson ...................................... Big Lake ................................... Biwabik..................................... Blackduck................................. Blaine........................................ Blooming Prairie .....................
Population
11,226 4,007 8,495 5,137 5,347 2,107 5,938 60,900 128,555 2,324 7,329 8,600 9,827 6,463 1,274 11,026 22,104 5,394 1,654 64,048 8,878 12,670 7,245 9,047 14,406 81,130 3,145 3,477 1,737 5,022 28,247 813 23,794 6,988 134,081 71,233 3,035 3,906 18,203 64,616 1,875 84,293 1,421 30,412 1,579 13,572 4,307 13,514 26,290 70,243 1,967 21,672 5,433 2,072 17,663 11,029 3,114 17,413 1,929 50,794 23,300 1,284 8,243 3,266 4,294 705 4,998 13,448 3,096 9,852 944 765 56,747 1,975
Violent crime
38 6 6 39 2 3 5 178 293 6 3 38 15 6 14 42 39 20 0 273 8 12 73 2 40 80 2 4 5 27 80 1 42 12 840 170 4 5 141 43 5 463 13 22 3 20 8 21 55 356 8 338 9
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 4 0 1 1 0 0 1 0 0 0 0 0 0 1 0 7 1 0 0 0 0 0 2 0 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 3 0
Forcible rape
5 3 0 8 2 2 2 13 21 0 1 4 0 6 1 8 2 4 0 25 2 0 6 1 11 10 1 0 2 4 8 0 12 3 83 37 1 1 16 10 1 37 2 0 1 5 0 3 7 42 0 22 2
Robbery
3 2 1 1 0 0 0 35 39 0 0 3 4 0 0 11 9 2 0 97 0 3 14 0 4 20 0 0 1 2 18 0 10 2 216 43 0 1 33 6 1 114 0 5 0 5 0 4 11 96 1 80 0 0 1 1 2 11 0 21 11 0 0 0 0 0 0 8 0 1 0 0 10 0
Aggravated assault
30 1 5 30 0 1 3 130 231 6 2 31 11 0 13 23 28 13 0 147 6 8 52 1 25 49 1 4 2 21 54 1 19 7 534 89 3 3 92 27 3 310 11 17 2 10 8 14 36 217 7 235 7 0 19 9 4 16 4 39 31 0 8 4 0 0 8 43 4 12 1 2 34 1
Property crime
138 180 78 206 160 100 113 1,328 3,103 77 151 275 149 62 60 325 333 201 17 2,864 145 487 476 125 502 1,882 141 59 93 203 812 0 1,030 133 1,820 44 100 616 823 98 2,716 102 534 33 433 31 453 701 2,177 45 1,151 122 7 400 328 110 818 60 1,509 837 16 285 37 3 0 114 1,127 80 359 4 23 2,259 28
Burglary
23 37 18 52 20 17 12 219 390 16 31 55 31 7 8 55 87 32 2 483 31 201 65 22 61 272 7 17 10 24 121 0 117 20 824 383 15 11 132 167 16 684 16 87 1 91 4 54 95 581 12 364 4 1 38 24 12 103 14 195 112 2 7 6 0 0 13 130 22 48 0 2 265 8
Larcenytheft
112 141 58 146 139 79 101 891 2,470 55 116 218 110 55 51 251 229 162 13 1,903 111 280 388 99 429 1,441 130 40 82 165 581 0 885 101 2,360 1,265 28 85 392 625 81 1,698 86 424 31 311 25 356 527 1,391 33 688 116 6 335 299 93 659 42 1,275 682 14 274 27 2 0 97 953 55 300 4 21 1,904 15
Motor vehicle theft
3 2 2 8 1 4 0 218 243 6 4 2 8 0 1 19 17 7 2 478 3 6 23 4 12 169 4 2 1 14 110 0 28 12 172 1 4 92 31 1 334 0 23 1 31 2 43 79 205 0 99 2 0 27 5 5 56 4 39 43 0 4 4 1 0 4 44 3 11 0 0 90 5
Arson1
1 1 1 2 2 3 2 10 22 0 2 0 1 0 0 3 1 1 0 26 0 3 4 0 2 4 0 0 0 1 2 0 1 0 37 5 0 0 12 5 1 31 0 3 0 3 0 1 7 12 1 7 1 0 0 2 0 4 0 2 2 1 0 0 0 0 3 2 0 0 0 1 8 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state UCR Programs (with the exception of Rockford, Illinois and Minneapolis and St. Paul, Minnesota) does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table. 4 It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table. 6 The
SECTION II: OFFENSES REPORTED 135 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Bloomington ............................ Blue Earth ................................ Brainerd.................................... Breckenridge............................ Brooklyn Center...................... Brooklyn Park ......................... Browns Valley .......................... Brownton.................................. Buffalo ...................................... Caledonia ................................. Cannon Falls ............................ Centennial Lakes..................... Champlin .................................. Chaska ...................................... Chisholm .................................. Cloquet ..................................... Cold Spring .............................. Columbia Heights.................... Coon Rapids ............................ Corcoran................................... Cottage Grove ......................... Crookston................................. Crosby....................................... Crystal....................................... Dawson ..................................... Dayton ...................................... Deephaven-Woodland............ Detroit Lakes........................... Dilworth ................................... Duluth....................................... Eagan ........................................ Eagle Lake ............................... East Grand Forks .................... Eden Prairie ............................. Edina......................................... Elk River .................................. Elmore ...................................... Ely ............................................. Eveleth...................................... Fairmont ................................... Falcon Heights ......................... Faribault ................................... Farmington ............................... Fergus Falls............................... Floodwood ............................... Forest Lake .............................. Fridley....................................... Gilbert....................................... Glencoe..................................... Glenwood ................................. Golden Valley .......................... Goodview ................................. Grand Rapids........................... Granite Falls............................. Hallock ..................................... Hastings .................................... Hermantown ............................ Hibbing ..................................... Hilltop....................................... Hokah ....................................... Hopkins .................................... Houston .................................... Hutchinson ............................... International Falls ................... Inver Grove Heights ............... Jackson...................................... Janesville................................... Kimball ..................................... Lake City .................................. Lake Crystal............................. Lakefield .................................. Lakes Area ............................... Lakeville ................................... Lauderdale ............................... 1 The
Population
80,218 3,366 13,731 3,325 27,118 70,112 619 795 14,456 2,910 4,038 11,454 23,463 24,764 4,592 11,523 3,726 17,894 62,299 5,698 33,288 7,752 2,232 21,325 1,405 4,620 4,129 8,111 3,600 83,932 63,718 2,130 7,896 61,910 45,007 23,224 677 3,565 3,577 10,337 5,417 22,408 19,276 13,842 493 17,984 26,124 1,743 5,644 2,553 19,865 3,394 8,297 2,961 1,051 21,839 9,247 16,198 749 582 16,613 991 14,050 6,108 34,060 3,429 2,201 691 5,409 2,562 1,687 8,333 54,565 2,169
Violent crime
Murder and nonnegligent manslaughter 0 0 0 0 4 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Forcible rape
Robbery
51 0 2 0 96 118 0 0 2 0 0 0 6 2 1 0 0 47 23 0 3 0 0 22 0 1 0 1 0 111 15 0 0 13 6 4 0 2 2 2 0 8 4 3 0 5 49 0 0 1 11 0 0 0 0 2 2 2 7 0 12 0 3 0 8 0 0 0 0 1 0 1 4 1
Aggravated assault
61 3 42 1 81 169 3 0 12 0 1 11 10 7 7 27 5 40 60 2 23 5 9 15 2 2 0 14 4 248 28 2 12 28 15 21 1 0 14 6 1 51 3 21 2 4 54 0 6 1 12 1 10 2 0 12 5 17 6 0 14 1 17 9 24 5 0 2 2 2 2 16 9 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
3,210 98 523 68 1,987 3,093 7 6 462 54 190 174 550 339 159 497 86 1,077 3,096 66 797 37 135 743 35 34 25 401 76 4,292 1,515 23 252 1,475 1,120 913 10 99 146 408 190 851 342 434 6 563 1,517 33 164 22 682 68 320 28 0 716 324 135 98 14 481 13 415 189 853 75 29 7 125 43 12 189 950 62
Burglary
356 19 79 4 246 608 2 0 41 10 16 20 61 36 32 41 8 235 317 11 148 15 11 108 4 7 6 39 7 707 188 4 43 190 182 127 8 11 34 57 24 154 60 78 0 54 159 3 14 3 141 13 30 3 0 113 53 43 15 2 117 0 74 30 147 19 11 1 20 5 6 30 153 14
Larcenytheft
2,674 76 422 62 1,540 2,162 5 5 408 43 166 148 461 294 119 436 78 762 2,663 50 611 16 124 576 29 9 16 339 66 3,358 1,276 18 204 1,254 901 764 1 83 101 334 163 659 273 342 6 460 1,210 27 146 18 492 51 279 23 0 569 254 89 74 12 317 13 328 148 651 53 17 6 103 32 6 148 763 38
Motor vehicle theft
180 3 22 2 201 323 0 1 13 1 8 6 28 9 8 20 0 80 116 5 38 6 0 59 2 18 3 23 3 227 51 1 5 31 37 22 1 5 11 17 3 38 9 14 0 49 148 3 4 1 49 4 11 2 0 34 17 3 9 0 47 0 13 11 55 3 1 0 2 6 0 11 34 10
Arson1
14 0 6 0 5 11 0 0 1 0 2 0 0 2 0 4 0 7 7 0 1 1 0 6 0 0 0 0 0 10 5 1 0 10 3 6 0 0 2 0 1 14 0 5 0 0 13 1 0 0 2 1 0 0 0 10 0 0 0 0 0 0 3 3 6 1 0 0 0 0 0 1 2 1
136
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Lester Prairie ........................... Lewiston ................................... Lino Lakes ............................... Litchfield .................................. Little Falls................................. Long Prairie ............................. Madison .................................... Mankato ................................... Maple Grove ............................ Mapleton .................................. Maplewood .............................. Medina...................................... Melrose ..................................... Mendota Heights..................... Milaca ....................................... Minneapolis.............................. Minnetonka.............................. Minnetrista ............................... Montevideo .............................. Montgomery............................. Moorhead ................................. Moose Lake ............................. Mora.......................................... Morris ....................................... Mound ...................................... Mounds View ........................... Mountain Lake ........................ New Brighton........................... New Hope ................................ Newport.................................... New Prague .............................. New Richland .......................... New Ulm .................................. North Branch ........................... Northfield ................................. North Mankato ........................ North St. Paul........................... Oakdale .................................... Oak Park Heights.................... Olivia......................................... Orono........................................ Ortonville ................................. Osakis ....................................... Osseo......................................... Owatonna ................................. Park Rapids.............................. Paynesville................................ Plymouth .................................. Princeton .................................. Prior Lake ................................ Proctor ...................................... Ramsey ..................................... Red Wing.................................. Redwood Falls ......................... Richfield ................................... Richmond ................................. Robbinsdale ............................. Rochester ................................. Rogers....................................... Roseau ...................................... Rosemount ............................... Roseville ................................... Sartell........................................ Sauk Centre ............................. Sauk Rapids ............................. Savage ....................................... Shakopee .................................. Silver Lake ............................... Slayton ...................................... Sleepy Eye................................ South Eastern Faribaul ........... South Lake Minnetonk........... Springfield ................................ Spring Lake Park..................... 1 The
Population
1,737 1,483 20,334 6,655 8,162 2,877 1,605 35,331 62,145 1,633 35,444 5,033 3,146 11,318 3,073 371,240 49,751 8,350 5,305 3,308 35,052 2,622 3,521 5,057 9,404 11,921 1,982 20,644 20,301 3,606 7,153 1,155 13,369 10,886 19,447 12,295 11,201 27,306 4,097 2,449 12,212 2,003 1,570 2,553 24,796 3,577 2,255 70,737 4,885 23,879 2,771 23,617 15,705 5,155 33,112 1,264 13,211 98,287 6,802 2,827 21,393 31,645 13,816 3,906 11,768 28,266 35,113 814 1,907 3,463 1,151 12,066 2,124 6,618
Violent crime
5,580
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 47 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
Forcible rape
452
Robbery
0 0 1 2 1 0 0 25 21 0 31 1 0 1 0 2,520 14 0 0 0 7 2 1 1 1 5 0 10 15 2 0 0 1 0 3 0 4 10 0 0 0 0 0 0 7 0 0 9 0 2 0 1 3 0 55 0 20 76 0 0 4 14 0 0 3 11 6 0 1 0 0 2 0 8
Aggravated assault
2 0 6 3 14 1 1 57 22 1 70 2 0 8 7 2,561 21 1 8 11 38 3 3 5 8 18 1 21 17 6 4 0 8 7 5 0 12 55 4 11 3 0 1 2 17 9 2 32 2 22 4 12 23 21 51 0 16 140 3 1 6 26 8 1 4 22 41 1 0 0 0 7 0 12
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
44 0 240 183 242 125 9 1,911 1,548 44 2,463 114 31 315 177 22,543 1,014 118 148 128 814 64 185 150 207 417 11 631 693 160 212 28 241 287 557 198 458 1,255 226 112 122 19 51 17 695 298 83 1,359 263 530 128 706 659 219 1,174 2 509 2,556 94 70 414 1,574 258 152 126 882 896 14 40 24 0 163 0 354
Burglary
6 0 49 25 25 13 1 296 278 7 326 25 2 48 16 6,164 196 25 28 25 132 2 20 27 40 70 4 72 109 38 16 6 39 27 121 10 52 138 16 19 19 3 9 3 164 52 21 304 15 79 7 67 121 35 192 1 91 460 2 9 72 217 31 14 15 166 151 4 12 3 0 37 0 48
Larcenytheft
36 0 183 149 192 110 8 1,535 1,238 37 1,952 86 29 250 158 13,203 776 82 112 98 631 57 157 113 159 310 7 506 546 116 194 21 193 248 420 173 375 1,021 195 85 92 16 39 7 502 217 59 995 243 418 116 606 506 172 898 1 368 1,928 88 58 326 1,231 220 132 93 673 698 10 26 20 0 121 0 278
Motor vehicle theft
2 0 8 9 25 2 0 80 32 0 185 3 0 17 3 3,176 42 11 8 5 51 5 8 10 8 37 0 53 38 6 2 1 9 12 16 15 31 96 15 8 11 0 3 7 29 29 3 60 5 33 5 33 32 12 84 0 50 168 4 3 16 126 7 6 18 43 47 0 2 1 0 5 0 28
Arson1
0 0 0 0 0 0 0 3 5 19 0 0 1 0 217 6 0 2 0 6 0 0 0 3 2 0 7 7 0 1 0 0 1 0 4 4 24 0 0 1 0 0 0 4 1 0 10 1 4 1 4 10 1 6 0 1 37 0 0 1 5 1 0 1 9 2 0 0 0 0 0 0 0
SECTION II: OFFENSES REPORTED 137 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MISSISSIPPI
1 The
City
St. Anthony .............................. Staples....................................... St. Charles ................................ St. Cloud ................................... St. Francis ................................. Stillwater................................... St. James ................................... St. Joseph .................................. St. Louis Park........................... St. Paul ...................................... St. Paul Park............................. St. Peter..................................... Thief River Falls ...................... Two Harbors ............................ Virginia ..................................... Wabasha ................................... Wadena ..................................... Waite Park................................ Warroad .................................... Waseca ...................................... Wayzata .................................... Wells.......................................... West Hennepin ........................ West St. Paul ............................ Wheaton ................................... White Bear Lake ..................... Willmar ..................................... Windom .................................... Winnebago ............................... Winona...................................... Winsted..................................... Woodbury................................. Worthington ............................. Wyoming .................................. Zumbrota ................................. Aberdeen.................................. Amory....................................... Batesville .................................. Bay St. Louis ............................ Booneville ................................ Brandon.................................... Brookhaven.............................. Byhalia...................................... Canton ...................................... Charleston ................................ Clarksdale ................................ Cleveland.................................. Collins ....................................... Columbus ................................. Edwards.................................... Eupora ...................................... Flowood.................................... Fulton........................................ Gloster ...................................... Greenville7 ............................... Greenwood .............................. Grenada.................................... Gulfport.................................... Hattiesburg............................... Heidelberg................................ Hernando ................................. Holly Springs3 .......................... Horn Lake ................................ Indianola .................................. Iuka ........................................... Jackson...................................... Kosciusko ................................. Laurel........................................ Leakesville ............................... Leland ....................................... Lexington ................................. Long Beach .............................. Louisville .................................. Lucedale ...................................
Population
7,680 3,082 3,567 67,290 7,744 18,116 4,380 5,926 43,001 271,662 5,285 10,823 8,440 3,435 8,471 2,587 3,981 6,795 1,663 9,465 3,894 2,442 5,671 18,748 1,463 23,486 18,012 4,327 1,386 26,464 2,457 55,376 11,026 3,985 3,050 6,138 7,332 7,767 6,399 8,669 20,621 9,991 714 12,505 1,969 18,650 12,500 2,788 23,968 1,309 2,236 7,112 4,127 1,054 37,326 16,538 14,487 64,455 48,384 806 11,115 7,970 23,125 11,143 2,947 175,525 7,325 18,437 993 5,008 1,902 15,371 6,671 3,026
Violent crime
2,327
17 11 26 22 9 8 7 5 81 18 77 65 6 66 1 6 27 3 8 136 92 83 286 234 0 12 19 77 8 1,512 27 123 0 8 14 14 13 9
Murder and nonnegligent manslaughter 1 0 0 1 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 0 5 0 0 4 0 0 0 0 0 6 3 4 4 2 0 0 0 0 2 0 46 3 4 0 0 0 0 0 0
Forcible rape
173
3 1 6 1 0 2 0 0 12 2 11 2 2 8 0 1 4 0 2 23 4 5 27 21 0 1 6 0 11 0 141 3 22 0 1 2 0 1 0
Robbery
3 0 0 48 2 0 0 0 40 777 1 3 0 0 4 0 0 4 0 1 0 0 1 25 0 9 8 0 0 6 0 8 1 0 0 3 3 9 6 3 5 5 1 19 3 29 20 2 32 0 0 7 1 2 71 32 28 165 135 0 1 17 10 15 0 862 12 62 0 1 4 6 3 3
Aggravated assault
3 0 3 145 14 18 4 1 32 1,363 8 12 6 0 27 2 9 12 0 11 1 0 2 21 2 51 15 7 2 14 4 21 20 2 2 11 7 11 14 6 1 2 4 45 13 32 43 2 22 1 5 16 2 4 36 53 46 90 76 0 10 9 49 8 463 9 35 0 6 8 8 9 6
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table. 7 Because of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data. 3 The
Property crime
323 105 35 2,943 224 414 120 84 1,515 11,118 156 350 218 44 662 107 95 507 67 254 153 22 72 1,029 25 969 675 131 28 574 51 1,417 261 89 73 194 346 481 474 236 217 284 79 510 123 920 884 166 1,082 3 6 428 85 13 2,079 1,149 666 5,199 2,588 27 273 328 935 823 66 12,465 197 1,178 0 143 18 378 69 109
Burglary
43 10 3 352 35 60 17 11 273 2,696 31 41 33 11 126 3 1 44 5 20 33 2 22 77 3 205 90 34 13 112 11 277 97 11 7 66 68 114 88 60 59 46 24 280 39 653 143 23 207 0 2 98 12 13 624 394 186 1,288 596 8 64 113 132 272 21 3,897 67 415 0 55 8 72 52 15
Larcenytheft
271 90 31 2,466 172 336 97 69 1,155 6,346 115 296 172 31 508 101 93 454 61 225 113 20 46 883 22 688 552 93 13 430 37 1,074 154 75 60 124 266 350 369 172 143 227 50 225 84 200 728 125 817 3 2 313 68 0 1,345 686 431 3,529 1,821 18 191 197 719 523 42 6,984 127 686 0 87 10 287 17 85
Motor vehicle theft
9 5 1 125 17 18 6 4 87 2,076 10 13 13 2 28 3 1 9 1 9 7 0 4 69 0 76 33 4 2 32 3 66 10 3 6 4 12 17 17 4 15 11 5 5 0 67 13 18 58 0 2 17 5 0 110 69 49 382 171 1 18 18 84 28 3 1,584 3 77 0 1 0 19 0 9
Arson1
3 0 0 9 3 4 2 0 7 164 0 4 1 0 3 0 0 6 0 0 1 0 3 0 0 11 3 0 0 2 0 4 2 0 0 0 0 0 6 0 2 0 0 0 0 13 2 0 1 0 0 0 1 0 35 0 2 24 16 1 0 1 1 8 3 39 1 0 0 0 0 0 0 0
138
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MISSOURI
1 The
City
Madison .................................... Magee ....................................... Magnolia................................... McComb ................................... Meridian ................................... Morton...................................... Moss Point ................................ Natchez ..................................... New Albany ............................. Newton ..................................... Olive Branch ............................ Oxford....................................... Pascagoula................................ Pass Christian........................... Pearl .......................................... Petal .......................................... Poplarville ................................ Port Gibson .............................. Purvis ........................................ Ridgeland ................................. Ripley........................................ Roxie......................................... Shelby ....................................... Starkville .................................. Stonewall .................................. Summit...................................... Vicksburg.................................. Waveland .................................. Waynesboro ............................. West Point ................................ Wiggins ..................................... Winona...................................... Adrian....................................... Advance.................................... Alton ......................................... Anderson.................................. Appleton City .......................... Arbyrd ...................................... Archie ....................................... Arnold ...................................... Ash Grove ................................ Ashland .................................... Aurora....................................... Auxvasse................................... Ava ............................................ Ballwin...................................... Bates City ................................. Battlefield................................. Bella Villa ................................. Belle .......................................... Bellefontaine Neighbor .......... Bellerive ................................... Bellflower ................................. Bel-Nor ..................................... Bel-Ridge ................................. Belton ....................................... Berkeley ................................... Bernie ....................................... Bethany..................................... Billings ...................................... Birch Tree ................................. Birmingham ............................. Bismarck................................... Bland......................................... Bloomfield................................ Blue Springs ............................. Bolivar ...................................... Bonne Terre ............................. Boonville .................................. Bourbon.................................... Bowling Green......................... Branson .................................... Branson West ........................... Braymer....................................
Population
17,554 4,314 2,126 13,583 37,954 3,421 14,464 16,930 8,113 3,698 31,223 14,362 23,555 6,041 24,161 10,302 2,781 1,717 2,579 21,701 5,680 552 2,646 22,663 1,095 1,641 25,610 5,668 5,655 11,433 4,774 4,740 1,885 1,214 645 1,927 1,302 496 989 20,831 1,502 2,156 7,421 1,006 3,124 30,120 237 4,148 642 1,362 10,430 257 408 1,496 2,924 24,492 9,460 1,803 3,078 1,135 627 216 1,569 566 1,883 54,718 10,748 7,153 8,830 1,415 5,166 7,496 514 .963
Violent crime
14 7 10 60 229 24 77 57 29 6 77 37 122 12 62 13 12 6 1 44 18 0 11 46 0 2 220 26 26 36 21 9 3 0 1 15 6 4 2 36 14 11 48 5 36 17 0 0 5 0 79 0 2 4 24 55 172 2 12 0 3 1 1 2 1 80 82 4 20 18 4 139 3 10
Murder and nonnegligent manslaughter 0 0 0 0 2 0 2 3 1 0 1 1 3 0 2 0 0 0 0 2 0 0 0 0 0 0 6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0
Forcible rape
4 0 2 1 38 1 12 4 0 0 10 8 17 2 20 6 0 0 0 2 1 0 1 4 0 0 26 2 0 4 2 1 0 0 0 2 0 0 0 2 0 0 4 0 0 2 0 0 0 0 4 0 0 0 1 7 8 0 0 0 0 0 0 0 0 12 7 0 1 0 0 2 0 1
Robbery
2 1 0 28 83 2 39 21 1 1 30 8 97 2 24 2 1 1 0 22 1 0 1 15 0 2 51 2 17 14 4 3 1 0 0 0 0 0 0 4 1 0 10 0 1 2 0 0 0 0 18 0 0 1 6 10 54 0 0 0 0 0 0 0 0 31 4 0 3 0 0 19 0 0
Aggravated assault
8 6 8 31 106 21 24 29 27 5 36 20 5 8 16 5 11 5 1 18 16 0 9 27 0 0 137 22 9 16 15 5 2 0 1 13 6 4 2 30 13 11 34 5 35 13 0 0 4 0 57 0 2 3 17 36 110 2 12 0 3 1 1 2 1 37 70 4 16 18 4 117 3 9
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
220 131 43 748 1,916 36 1,036 971 120 74 1,651 443 1,701 187 844 125 43 21 0 654 90 0 22 509 5 59 1,842 433 110 371 263 34 5 7 5 43 30 4 26 1,296 34 54 566 17 114 305 14 77 4 6 561 4 1 30 184 713 614 22 75 20 5 1 2 11 33 1,765 373 92 274 26 173 1,138 17 8
Burglary
17 21 15 158 753 21 429 193 37 40 368 100 580 45 287 73 21 5 0 50 31 0 17 129 5 11 440 87 86 122 101 3 2 4 2 13 10 4 3 68 5 7 124 5 23 63 3 21 0 1 204 2 1 10 75 119 218 5 20 3 2 0 1 9 11 275 89 17 28 7 38 126 0 2
Larcenytheft
199 95 23 530 1,044 10 472 764 76 33 1,189 323 932 130 489 43 18 16 0 564 53 0 1 368 0 46 1,282 320 21 249 160 27 2 3 3 25 20 0 21 1,206 28 45 410 11 81 235 9 50 2 5 268 2 0 20 89 546 293 14 55 16 1 1 1 2 19 1,323 270 65 241 16 135 969 17 3
Motor vehicle theft
4 15 5 60 119 5 135 14 7 1 94 20 189 12 68 9 4 0 0 40 6 0 4 12 0 2 120 26 3 0 2 4 1 0 0 5 0 0 2 22 1 2 32 1 10 7 2 6 2 0 89 0 0 0 20 48 103 3 0 1 2 0 0 0 3 167 14 10 5 3 0 43 0 3
Arson1
0 0 0 0 19 0 0 6 0 0 4 0 0 0 0 4 0 0 0 0 0 0 0 1 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 5 0 1 3 0 0 0 1 0 0 0 4 0 0 0 2 2 7 0 0 0 1 0 2 0 0 7 2 1 1 1 0 0 0 0
SECTION II: OFFENSES REPORTED 139 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Breckenridge Hills .................. Brentwood................................ Bridgeton.................................. Brookfield ................................ Bucklin...................................... Buckner .................................... Buffalo ...................................... Butler ........................................ Butterfield Village ................... Byrnes Mill............................... Cabool ...................................... California.................................. Calverton Park......................... Camden Point .......................... Camdenton............................... Cameron ................................... Campbell .................................. Canton ...................................... Cape Girardeau ....................... Cardwell ................................... Carl Junction ............................ Carterville................................. Carthage ................................... Caruthersville .......................... Cassville.................................... Centralia ................................... Chaffee ..................................... Charlack ................................... Charleston ................................ Chesterfield.............................. Chillicothe ................................ Clarkton.................................... Claycomo.................................. Clayton ..................................... Cleveland.................................. Clever........................................ Clinton ...................................... Cole Camp................................ Columbia .................................. Concordia ................................. Cool Valley ............................... Cooter ....................................... Cottleville ................................. Country Club Hills .................. Country Club Village .............. Crane ........................................ Crestwood ................................ Creve Coeur............................. Crocker ..................................... Crystal City .............................. Cuba.......................................... Deepwater................................ Dellwood .................................. Delta ......................................... Desloge ..................................... De Soto..................................... Des Peres.................................. Dexter ....................................... Diamond................................... Dixon ........................................ Doniphan.................................. Doolittle ................................... Drexel ....................................... Duenweg................................... Duquesne ................................. East Lynne ............................... East Prairie............................... Edgerton................................... Edmundson .............................. Eldon ........................................ El Dorado Springs................... Ellington ................................... Ellisville .................................... Elsberry .................................... 1 The
Population
4,525 7,238 15,120 4,371 482 2,738 3,143 4,271 426 2,912 2,150 4,209 1,286 558 3,226 9,015 1,853 2,489 36,754 739 7,071 1,937 13,407 6,310 3,278 3,593 2,981 1,357 5,268 46,642 8,700 1,262 1,289 16,036 690 1,321 9,523 1,160 95,595 2,409 1,014 430 2,685 1,293 1,977 1,445 11,545 17,028 989 4,599 3,529 505 4,937 541 5,218 6,579 8,626 7,658 881 1,519 1,935 672 1,106 1,213 1,708 308 3,145 550 789 4,991 3,811 999 9,323 2,601
Violent crime
32 8 128 16 0 7 5 5 0 2 3 11 4 0 8 21 0 14 254 1 33 2 17 21 4 17 8 7 24 55 34 3 3 26 1 1 8 0 617 1 10 4 6 6 3 6 14 21 2 19 21 2 26 0 14 26 8 14 1 2 5 3 7 7 9 0 13 5 7 14 23 0 7 6
Murder and nonnegligent manslaughter 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Forcible rape
3 2 7 1 0 0 0 0 0 0 2 1 0 0 1 0 0 1 10 0 1 0 0 1 0 0 0 2 0 6 0 1 0 2 0 0 0 0 30 0 0 0 0 3 1 0 0 1 0 5 0 2 1 0 1 0 0 3 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 2
Robbery
9 4 34 0 0 1 0 0 0 0 0 4 2 0 0 1 0 0 34 0 0 0 4 7 0 3 0 1 5 12 0 0 0 6 0 0 0 0 141 0 3 0 0 3 0 0 3 10 0 5 0 0 12 0 1 0 4 0 0 0 0 0 0 0 2 0 0 0 1 1 1 0 1 2
Aggravated assault
20 2 85 15 0 6 4 5 0 2 1 6 2 0 7 20 0 13 209 1 32 2 13 13 4 14 8 4 19 37 34 2 3 18 1 1 8 0 443 1 7 4 6 0 2 6 11 10 2 8 21 0 13 0 12 26 4 11 0 2 4 3 7 7 7 0 13 4 6 13 22 0 6 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
246 404 926 115 2 103 134 162 4 14 49 87 31 0 166 195 36 60 2,462 13 132 29 342 238 133 99 72 85 159 875 369 15 17 422 3 1 414 12 3,323 63 84 7 49 71 22 25 631 331 19 152 265 2 165 0 220 212 359 201 8 57 128 5 26 53 49 0 102 12 73 163 157 28 108 22
Burglary
35 27 104 18 1 21 17 28 3 1 15 11 10 0 15 24 5 9 332 5 36 8 79 58 15 21 26 5 40 122 68 4 7 54 1 1 60 2 594 11 13 5 3 28 5 1 19 42 2 23 57 0 80 0 21 26 36 49 2 11 24 3 7 8 20 0 11 5 5 24 27 7 12 4
Larcenytheft
186 368 740 91 1 77 113 131 0 9 25 75 13 0 141 163 29 48 2,085 6 91 19 250 172 108 72 43 76 112 734 284 10 10 351 2 0 346 10 2,509 47 59 1 46 33 14 23 599 274 15 122 203 2 62 0 195 175 320 144 6 44 100 2 18 40 21 0 87 4 41 138 126 20 89 18
Motor vehicle theft
25 9 82 6 0 5 4 3 1 4 9 1 8 0 10 8 2 3 45 2 5 2 13 8 10 6 3 4 7 19 17 1 0 17 0 0 8 0 220 5 12 1 0 10 3 1 13 15 2 7 5 0 23 0 4 11 3 8 0 2 4 0 1 5 8 0 4 3 27 1 4 1 7 0
Arson1
1 0 1 1 0 0 2 1 1 0 0 0 0 0 2 5 0 0 9 0 0 0 1 0 0 0 0 0 0 6 1 0 0 0 0 0 1 0 7 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 1 0 2 0 2 1 0
140
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Eminence.................................. Eureka ...................................... Everton ..................................... Excelsior Springs ..................... Exeter ....................................... Fair Grove ................................ Fair Play.................................... Farber........................................ Farmington ............................... Fayette ...................................... Ferguson ................................... Ferrelview................................. Festus ........................................ Flordell Hills ............................ Florissant .................................. Foley.......................................... Fordland ................................... Foristell ..................................... Forsyth ...................................... Fredericktown.......................... Freeman.................................... Frontenac.................................. Fulton........................................ Galena....................................... Gallatin ..................................... Garden City.............................. Gerald ....................................... Gideon ...................................... Gladstone ................................. Glasgow .................................... Glendale ................................... Glen Echo Park ....................... Goodman.................................. Gower ....................................... Grain Valley ............................. Granby...................................... Grandin .................................... Grandview................................ Greendale................................. Greenfield ................................ Greenwood .............................. Hallsville................................... Hamilton................................... Hannibal ................................... Harrisonville ............................ Hartville.................................... Hawk Point............................... Hayti ......................................... Hayti Heights........................... Hazelwood ............................... Henrietta .................................. Herculaneum ........................... Hermann................................... Higginsville .............................. High Hill................................... Highlandville............................ Hillsboro................................... Holcomb ................................... Holden ...................................... Hollister.................................... Holt ........................................... Holts Summit ........................... Hornersville ............................. Houston .................................... Humansville ............................. Huntsville ................................. Hurley ....................................... Iberia......................................... Independence .......................... Indian Point.............................. Iron Mountain Lake................ Ironton...................................... Jackson...................................... JASCO Metropolitan.............. 1 The
Population
560 9,287 321 11,747 760 1,331 451 396 15,711 2,686 21,142 584 11,390 870 51,025 209 765 330 1,698 4,057 611 3,531 12,311 529 1,761 1,694 1,242 988 27,686 1,194 5,526 159 1,265 1,430 10,225 2,259 238 24,322 698 1,286 4,650 939 1,800 17,612 9,935 604 552 3,007 772 25,407 442 3,306 2,759 4,662 222 929 1,938 691 2,525 3,797 465 3,600 674 2,025 1,008 1,641 160 684 108,879 672 707 1,353 13,431 2,802
Violent crime
1 13 2 69 1 2 1 0 78 4 104 3 103 15 90 0 1 1 2 24 0 5 45 0 9 1 5 0 72 1 4 0 1 4 16 8 0 182 2 5 8 1 5 105 21 0 1 16 2 82 0 3 11 12 0 1 10 0 11 61 1 18 0 3 3 0 0 6 837 0 0 6 18 25
Murder and nonnegligent manslaughter 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 7 0 0 0 2 0
Forcible rape
0 1 0 2 0 0 1 0 3 0 9 0 5 1 4 0 0 0 0 2 0 0 2 0 0 0 1 0 11 0 0 0 0 1 1 0 0 12 0 0 0 0 2 20 1 0 0 0 0 3 0 1 0 1 0 0 0 0 0 5 0 0 0 0 0 0 0 0 45 0 0 0 3 1
Robbery
0 5 0 6 0 0 0 0 4 0 52 0 3 4 49 0 0 0 0 0 0 2 5 0 0 0 0 0 23 0 1 0 0 0 2 0 0 52 0 0 1 0 0 16 4 0 0 6 0 26 0 1 0 1 0 0 0 0 0 0 0 3 0 1 0 0 0 0 154 0 0 0 1 0
Aggravated assault
0 7 2 60 1 2 0 0 71 4 42 3 95 10 37 0 1 1 2 22 0 3 37 0 9 1 4 0 37 0 3 0 1 2 13 8 0 114 2 5 7 1 3 69 16 0 1 10 2 52 0 1 11 10 0 1 10 0 11 55 1 15 0 2 3 0 0 5 631 0 0 6 12 24
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
7 326 6 389 6 19 17 0 733 15 1,208 13 275 52 1,300 0 10 67 45 146 0 70 524 0 22 16 33 4 657 9 43 0 13 24 262 47 0 1,188 7 12 56 23 38 1,402 414 0 8 195 16 1,128 0 309 88 133 1 1 61 2 88 164 18 139 0 55 19 6 0 9 7,933 5 11 66 342 26
Burglary
5 21 4 100 0 4 12 0 61 3 247 4 36 28 234 0 3 4 2 27 0 8 51 0 5 6 13 1 116 1 6 0 6 3 71 8 0 278 5 6 19 2 8 183 28 0 3 36 8 200 0 6 20 19 0 0 6 0 17 48 5 21 0 12 10 1 0 7 1,304 2 2 8 50 4
Larcenytheft
2 296 2 265 6 14 3 0 650 11 766 9 221 17 905 0 6 61 40 111 0 60 451 0 17 10 20 3 477 8 36 0 7 21 173 36 0 707 2 5 36 19 30 1,194 374 0 4 150 8 803 0 302 66 109 1 1 50 2 65 108 11 117 0 41 9 5 0 1 5,547 3 5 55 283 18
Motor vehicle theft
0 9 0 24 0 1 2 0 22 1 195 0 18 7 161 0 1 2 3 8 0 2 22 0 0 0 0 0 64 0 1 0 0 0 18 3 0 203 0 1 1 2 0 25 12 0 1 9 0 125 0 1 2 5 0 0 5 0 6 8 2 1 0 2 0 0 0 1 1,082 0 4 3 9 4
Arson1
0 3 2 3 0 0 1 0 0 0 4 0 3 0 3 0 0 0 0 2 0 0 3 0 2 3 0 0 6 0 0 0 0 0 0 1 0 6 0 0 1 0 0 1 0 0 0 0 2 0 0 2 0 0 0 0 1 0 0 1 0 0 0 1 0 0 4 1 35 0 0 0 0 0
SECTION II: OFFENSES REPORTED 141 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Jasper ........................................ Jefferson City ........................... Jennings .................................... Jonesburg.................................. Joplin......................................... Kahoka ..................................... Kearney .................................... Kennett ..................................... Keytesville................................ Kimberling City ....................... Kimmswick............................... King City .................................. Kirksville .................................. Kirkwood.................................. Knob Noster............................. Ladue ........................................ La Grange ................................ Lake Lafayette......................... Lake Lotawana ........................ Lake Ozark .............................. Lakeshire.................................. Lake St. Louis .......................... Lake Tapawingo....................... Lake Waukomis ....................... Lake Winnebago...................... Lamar........................................ La Monte .................................. La Plata..................................... Lathrop ..................................... Laurie........................................ Lawson...................................... Leadington ............................... Leadwood................................. Lebanon.................................... Lee’s Summit ........................... Leeton....................................... Lexington ................................. Liberal ...................................... Liberty ...................................... Licking ...................................... Lilbourn.................................... Lincoln...................................... Linn ........................................... Linn Creek ............................... Lockwood................................. Lone Jack.................................. Lowry City................................ Macon ....................................... Malden...................................... Manchester............................... Mansfield.................................. Maplewood .............................. Marble Hill............................... Marceline.................................. Marionville ............................... Marquand ................................. Marshall.................................... Marshfield ................................ Marston..................................... Marthasville ............................. Martinsburg.............................. Maryland Heights.................... Maryville................................... Matthews .................................. Maysville................................... Mayview ................................... Memphis ................................... Mexico ...................................... Milan ......................................... Miller......................................... Miner......................................... Moberly .................................... Moline Acres............................ Monett ...................................... 1 The
Population
1,046 39,121 14,738 724 48,261 2,185 8,262 10,909 508 2,584 92 910 16,934 26,875 3,072 8,199 934 378 1,945 2,022 1,297 14,325 795 900 1,130 4,649 1,076 1,438 2,357 719 2,407 220 1,173 13,964 83,558 625 4,590 811 30,050 1,516 1,205 1,107 1,432 301 953 887 749 5,446 4,569 18,769 1,359 8,701 1,515 2,331 2,177 265 12,281 7,173 549 864 328 26,221 10,540 545 1,137 292 1,995 10,965 1,796 801 1,329 14,023 2,540 8,851
Violent crime
0 286 180 6 372 1 9 31 0 4 0 1 107 39 1 8 3 0 1 6 2 17 1 0 0 25 5 1 6 5 0 1 3 66 109 0 13 6 63 2 6 2 3 3 0 2 6 14 9 10 3 36 3 13 5 0 20 11 1 0 3 34 13 0 0 0 5 25 0 2 26 22 25 8
Murder and nonnegligent manslaughter 0 1 3 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 25 12 0 38 1 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 6 0 0 1 0 0 0 0 5 10 0 2 0 11 0 0 0 0 0 0 0 0 1 0 1 0 4 0 3 0 0 2 0 0 0 0 1 1 0 0 0 0 0 0 0 2 0 1 1
Robbery
0 30 49 0 91 0 1 10 0 0 0 0 1 6 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 3 42 0 0 0 6 0 0 0 0 0 0 0 0 2 0 2 1 10 0 0 0 0 4 0 0 0 0 13 0 0 0 0 0 6 0 0 1 3 5 1
Aggravated assault
0 230 116 6 242 0 8 21 0 4 0 0 106 29 1 8 3 0 1 6 2 14 1 0 0 18 5 1 5 5 0 1 3 56 57 0 11 6 45 2 5 2 3 3 0 2 6 11 9 7 2 21 3 10 5 0 14 11 0 0 3 18 10 0 0 0 5 19 0 2 23 19 19 6
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
6 1,484 1,406 14 4,812 43 133 663 0 40 0 5 496 784 153 144 8 7 37 60 18 227 10 2 10 158 19 1 43 51 43 4 14 871 2,479 14 158 3 654 65 18 26 9 3 2 22 8 161 108 281 22 396 53 35 76 1 303 147 0 0 0 875 165 7 4 0 24 220 21 16 112 739 187 400
Burglary
6 244 475 2 845 19 19 161 0 11 0 3 57 121 49 25 5 5 11 7 4 20 2 0 0 31 7 1 12 5 6 0 3 99 390 4 43 0 107 9 0 10 6 0 0 14 3 24 38 24 6 43 6 4 14 0 53 17 0 0 0 135 19 5 1 0 9 35 7 4 20 92 54 87
Larcenytheft
0 1,186 655 11 3,554 21 111 477 0 26 0 2 430 636 101 116 1 1 23 51 12 193 6 1 10 122 12 0 27 43 34 4 9 712 1,857 10 106 3 499 53 17 14 3 3 2 8 4 133 70 247 15 317 44 30 59 1 240 121 0 0 0 687 139 2 3 0 13 183 13 11 84 635 116 293
Motor vehicle theft
0 54 276 1 413 3 3 25 0 3 0 0 9 27 3 3 2 1 3 2 2 14 2 1 0 5 0 0 4 3 3 0 2 60 232 0 9 0 48 3 1 2 0 0 0 0 1 4 0 10 1 36 3 1 3 0 10 9 0 0 0 53 7 0 0 0 2 2 1 1 8 12 17 20
Arson1
0 4 4 0 37 0 0 1 0 0 0 0 2 8 1 0 1 0 1 0 0 2 0 0 0 1 0 0 1 0 0 0 0 3 8 0 1 0 13 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 2 0 0 0 4 0 0 2 0 0 2 0 0 0 1 1 6
142
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Monroe City............................. Montgomery City .................... Montrose .................................. Morehouse ............................... Mosby ....................................... Moscow Mills ........................... Mound City .............................. Mountain View ........................ Mount Vernon.......................... Napoleon .................................. Neosho...................................... Nevada...................................... New Bloomfield....................... Newburg ................................... New Florence........................... New Franklin ........................... New Haven............................... New London ............................ New Madrid ............................. New Melle ................................ Niangua .................................... Nixa ........................................... Noel........................................... Norborne .................................. Normandy ................................ North Kansas City ................... Northmoor ............................... Northwoods.............................. Oak Grove................................ Oakland .................................... Oakview Village....................... Odessa....................................... O’Fallon .................................... Old Monroe ............................. Olivette ..................................... Olympian Village..................... Oran .......................................... Orrick........................................ Osage Beach ............................ Osceola ..................................... Overland................................... Owensville................................ Ozark ........................................ Pacific........................................ Pagedale ................................... Palmyra..................................... Park Hills.................................. Parkville.................................... Parma........................................ Pasadena Park ......................... Peculiar ..................................... Perry.......................................... Perryville .................................. Pevely........................................ Piedmont .................................. Pierce City ................................ Pilot Grove............................... Pilot Knob ................................ Pine Lawn................................. Pineville .................................... Platte City................................. Platte Woods ............................ Plattsburg ................................. Pleasant Hill............................. Pleasant Hope.......................... Pleasant Valley......................... Poplar Bluff .............................. Portageville .............................. Potosi ........................................ Purdy......................................... Puxico ....................................... Randolph.................................. Raymore ................................... Raytown ................................... 1 The
Population
2,541 2,538 434 935 244 2,460 1,078 2,605 4,511 200 11,328 8,457 749 476 776 1,107 2,014 1,011 3,073 286 497 18,220 1,562 776 4,946 5,619 403 4,353 7,069 1,575 389 4,828 76,542 300 7,439 675 1,259 848 4,554 804 15,783 2,523 17,496 7,245 3,440 3,443 8,744 5,276 785 463 4,495 668 8,062 4,442 1,954 1,456 748 688 4,038 878 4,971 458 2,416 7,108 590 3,481 17,054 2,990 2,725 1,175 1,149 50 17,439 28,344
Violent crime
16 11 1 3 3 13 1 20 21 1 17 45 1 5 1 7 10 1 0 0 0 15 4 1 66 31 2 9 9 0 1 4 58 0 25 0 17 2 33 2 69 0 57 28 39 2 5 4 7 0 6 0 8 13 3 2 1 0 85 1 9 1 6 3 0 5 75 12 9 6 2 0 15 93
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 3 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0
Forcible rape
Robbery
2 0 0 0 1 1 0 0 1 0 2 6 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 2 4 0 0 0 8 0 1 0 0 0 2 0 5 0 4 1 3 0 2 1 0 0 0 0 1 0 0 1 0 0 2 0 0 1 0 1 0 1 4 0 0 0 0 0 3 7
0 0 0 0 0 0 1 1 1 0 2 4 0 0 0 0 0 0 0 0 0 0 0 0 12 14 0 4 0 0 0 1 12 0 5 0 0 0 0 0 17 0 8 2 15 0 0 0 0 0 2 0 4 2 1 0 0 0 8 0 0 0 0 0 0 0 18 0 0 0 0 0 1 44
Aggravated assault
14 11 1 3 2 12 0 19 19 1 10 35 1 5 1 7 10 1 0 0 0 13 4 1 50 14 2 3 4 0 1 3 38 0 19 0 17 2 31 2 47 0 45 24 21 2 2 3 7 0 4 0 3 11 2 1 1 0 74 1 9 0 6 2 0 4 52 12 9 6 2 0 10 42
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
83 49 9 8 5 49 10 105 273 6 461 539 3 8 17 5 61 23 15 4 0 241 11 1 188 493 23 151 153 29 6 103 1,823 1 215 2 26 20 403 16 814 137 413 259 197 47 122 140 25 8 183 1 231 131 43 33 12 3 252 1 94 27 67 163 2 73 1,335 20 120 31 9 3 529 967
Burglary
19 10 6 4 2 9 3 32 40 3 68 74 1 0 2 3 7 6 4 4 0 43 1 0 39 55 5 59 15 3 5 26 159 0 33 1 10 8 50 5 116 9 71 15 47 2 13 11 10 0 9 0 37 17 7 13 2 0 63 1 16 2 16 18 2 17 212 6 11 15 7 0 54 235
Larcenytheft
60 38 3 3 1 37 6 61 222 2 371 425 2 5 15 2 48 16 11 0 0 187 7 1 97 345 13 59 135 26 1 64 1,620 1 167 1 14 11 331 10 651 125 327 234 115 43 104 127 15 7 170 0 181 104 36 19 10 3 140 0 74 23 48 143 0 47 1,061 12 103 14 2 3 453 558
Motor vehicle theft
4 1 0 1 2 3 1 12 11 1 22 40 0 3 0 0 6 1 0 0 0 11 3 0 52 93 5 33 3 0 0 13 44 0 15 0 2 1 22 1 47 3 15 10 35 2 5 2 0 1 4 1 13 10 0 1 0 0 49 0 4 2 3 2 0 9 62 2 6 2 0 0 22 174
Arson1
0 0 0 0 1 0 1 1 0 0 5 4 1 0 0 0 0 0 0 0 0 2 0 0 1 0 0 2 0 0 0 1 5 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 2 2 2 0 0 0 1 0 0 0 0 0 0 2 17 0 0 2 1 0 1 4
SECTION II: OFFENSES REPORTED 143 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Reeds Spring ............................ Republic ................................... Rich Hill ................................... Richland ................................... Richmond ................................. Richmond Heights .................. Riverside .................................. Riverview ................................. Rockaway Beach ..................... Rock Hill .................................. Rock Port ................................. Rogersville ............................... Rolla.......................................... Rosebud.................................... Salem......................................... Savannah .................................. Scott City .................................. Sedalia ...................................... Seligman ................................... Senath ....................................... Seneca ....................................... Seymour.................................... Shrewsbury............................... Sikeston .................................... Silex........................................... Slater ......................................... Smithville.................................. Southwest City......................... Sparta........................................ Springfield ................................ St. Ann ...................................... St. Charles ................................ St. Clair ..................................... Steele......................................... Steelville ................................... Ste. Genevieve ......................... St. George................................. St. James ................................... St. John...................................... St. Joseph .................................. St. Louis .................................... St. Marys ................................... Stover........................................ St. Peters ................................... Strafford ................................... St. Robert ................................. Sturgeon ................................... Sugar Creek ............................. Sullivan ..................................... Summersville............................ Sunset Hills .............................. Sweet Springs........................... Tarkio........................................ Thayer....................................... Tipton........................................ Town and Country................... Tracy.......................................... Trenton ..................................... Trimble...................................... Troy ........................................... Truesdale .................................. Union ........................................ Unionville................................. University City......................... Uplands Park ........................... Urbana...................................... Van Buren ................................ Vandalia.................................... Velda City................................. Verona ...................................... Versailles .................................. Viburnum ................................. Vienna....................................... Vinita Park ............................... 1 The
Population
720 11,777 1,510 1,756 6,029 9,179 2,961 2,948 586 4,641 1,306 2,647 18,208 378 4,860 5,118 4,571 20,682 924 1,626 2,277 2,025 6,290 17,188 288 1,911 7,777 931 1,223 150,488 12,887 63,277 4,400 2,136 1,454 4,479 1,222 4,110 6,444 72,424 348,197 392 1,045 55,291 2,025 3,319 897 3,506 6,698 562 8,314 1,527 1,823 2,166 3,125 10,757 210 6,070 481 11,674 615 9,648 1,959 36,743 442 435 819 4,099 1,512 726 2,709 808 643 1,803
Violent crime
3 43 11 2 13 54 12 34 12 3 8 23 81 0 21 2 13 189 0 0 1 8 6 273 0 4 10 6 6 1,051 95 162 43 7 16 3 4 32 25 216 7,654 0 22 106 4 73 6 23 18 2 20 3 1 1 3 6 0 25 0 53 0 54 0 246 1 1 0 5 4 0 5 5 2 8
Murder and nonnegligent manslaughter 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 5 0 1 0 0 0 0 0 0 1 2 138 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 2 1 0 2 4 1 2 0 1 0 0 6 0 0 1 1 8 0 0 0 0 0 4 0 0 0 1 0 72 7 21 4 1 0 0 0 1 2 13 255 0 3 12 0 4 0 0 2 0 1 1 0 0 1 0 0 2 0 1 0 2 0 11 0 0 0 1 0 0 0 0 0 0
Robbery
0 0 0 1 0 14 4 5 0 1 0 0 14 0 2 1 2 23 0 0 0 0 3 45 0 0 0 0 1 294 17 48 2 4 0 1 0 3 8 66 2,761 0 0 19 3 4 1 10 3 0 6 1 0 1 0 0 0 0 0 1 0 1 0 87 0 0 0 0 1 0 0 0 0 3
Aggravated assault
3 41 10 1 11 36 6 26 12 1 8 23 61 0 19 0 10 158 0 0 1 8 3 222 0 4 10 5 5 680 71 92 37 2 16 2 4 28 14 135 4,500 0 19 75 1 65 5 11 12 2 13 1 1 0 2 6 0 23 0 51 0 51 0 148 1 1 0 4 3 0 5 5 2 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
13 394 68 39 223 720 202 167 11 95 10 66 948 3 167 115 3 1,402 0 3 100 32 122 862 0 51 87 24 10 14,315 832 2,256 289 105 30 66 20 234 254 3,857 33,901 4 66 1,352 123 261 6 205 253 20 253 16 6 8 27 145 19 190 2 472 7 519 3 2,020 6 11 27 50 28 11 104 22 19 93
Burglary
3 83 27 6 44 50 22 75 2 17 0 6 151 1 25 19 3 266 0 0 15 11 14 170 0 5 8 4 7 2,140 107 309 36 15 11 8 1 36 46 770 7,289 1 14 132 7 52 4 57 43 9 34 7 0 4 6 14 2 56 0 33 1 50 2 343 1 4 7 9 11 2 4 17 5 20
Larcenytheft
9 289 40 31 162 633 158 57 8 71 9 58 746 2 137 96 0 1,081 0 3 79 19 101 640 0 41 73 19 3 11,231 690 1,853 243 80 14 56 18 195 178 2,814 20,330 2 48 1,166 111 197 2 119 200 9 206 9 4 3 20 131 16 126 2 422 6 451 1 1,514 3 4 19 39 11 7 93 4 12 64
Motor vehicle theft
1 22 1 2 17 37 22 35 1 7 1 2 51 0 5 0 0 55 0 0 6 2 7 52 0 5 6 1 0 944 35 94 10 10 5 2 1 3 30 273 6,282 1 4 54 5 12 0 29 10 2 13 0 2 1 1 0 1 8 0 17 0 18 0 163 2 3 1 2 6 2 7 1 2 9
Arson1
0 0 0 0 0 2 3 3 0 0 0 0 4 0 0 0 0 5 0 0 4 0 0 15 0 0 0 1 0 64 1 6 4 1 0 0 0 0 1 16 410 0 0 19 0 4 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 2 6 0 1 0 0 0 0 0 0 0 3
144
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
MONTANA
NEBRASKA
1 The
City
Walnut Grove .......................... Wardell ..................................... Warrensburg............................. Warrenton ................................ Warsaw ..................................... Warson Woods ......................... Washburn ................................. Washington............................... Waverly..................................... Waynesville .............................. Weatherby Lake ...................... Webb City................................. Webster Groves ....................... Wellsville .................................. Wentzville................................. Weston ...................................... West Plains ............................... Westwood ................................. Wheaton ................................... Willard ...................................... Willow Springs ......................... Winfield .................................... Winona...................................... Woodson Terrace..................... Wright City............................... Baker ........................................ Belgrade ................................... Billings ...................................... Boulder ..................................... Bozeman................................... Chinook .................................... Colstrip ..................................... Columbia Falls ......................... Columbus ................................. Conrad ...................................... Cut Bank .................................. Dillon ........................................ East Helena.............................. Ennis ......................................... Eureka ...................................... Fort Benton .............................. Glasgow .................................... Glendive ................................... Great Falls ................................ Hamilton................................... Havre ........................................ Helena....................................... Joliet.......................................... Kalispell.................................... Laurel........................................ Lewistown ................................ Libby ......................................... Livingston................................. Manhattan ................................ Missoula.................................... Plains......................................... Polson........................................ Poplar........................................ Red Lodge................................ Ronan City ............................... Stevensville .............................. St. Ignatius................................ Thompson Falls........................ Three Forks .............................. Troy ........................................... West Yellowstone .................... Alliance .................................... Ashland .................................... Auburn...................................... Aurora....................................... Bayard ...................................... Beatrice..................................... Blair........................................... Bridgeport ................................
Population
641 255 18,206 7,146 2,273 1,875 480 14,367 802 3,616 1,856 11,142 22,620 1,383 24,137 1,594 11,673 295 749 3,320 2,145 900 1,343 4,056 2,837 1,620 7,552 101,342 1,468 36,158 1,283 2,342 4,826 1,954 2,556 3,182 4,029 2,108 1,029 1,030 1,451 2,926 4,606 56,159 4,774 9,414 28,128 617 20,104 6,434 6,047 2,666 7,307 1,503 65,037 1,272 5,082 900 2,494 2,033 1,966 830 1,420 1,865 996 1,240 8,054 2,586 3,187 4,261 1,143 12,972 7,962 1,478
Violent crime
0 0 36 16 21 1 0 27 3 8 6 5 19 1 30 3 39 0 0 9 28 6 13 8 5 2 31 245 7 88 2 8 16 5 8 39 9 3 2 5 6 16 13 178 23 47 126 0 69 14 28 8 26 1 218 3 42 1 10 13 11 1 6 0 2 1 31 0 1 0 0 47 4 1
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
Forcible rape
0 0 2 0 1 0 0 1 1 0 0 2 2 0 8 0 2 0 0 0 0 1 2 0 0 0 5 23 1 17 0 0 1 0 1 2 0 0 0 0 2 3 1 6 2 6 16 0 7 3 6 0 5 1 23 0 3 0 1 1 1 0 1 0 0 1 0 0 0 0 0 15 0 1
Robbery
0 0 7 2 0 1 0 2 0 0 0 0 8 0 3 0 2 0 0 1 0 0 0 3 1 0 2 54 0 15 0 0 0 1 0 0 0 0 0 0 0 0 0 29 0 2 9 0 6 0 1 1 0 0 36 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0
Aggravated assault
0 0 27 14 20 0 0 24 2 8 6 3 9 1 19 3 35 0 0 8 28 5 11 5 4 2 24 167 6 56 2 8 15 4 7 37 9 3 2 5 4 13 12 142 21 39 101 0 56 11 21 7 21 0 158 3 39 1 9 12 10 1 5 0 2 0 30 0 1 0 0 30 2 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
9 5 559 481 99 31 0 384 7 115 20 438 354 20 652 38 985 0 5 100 56 16 36 149 166 15 246 4,182 9 1,583 10 93 125 39 43 133 112 29 13 73 32 62 168 3,061 209 421 1,073 4 1,311 270 104 132 187 21 2,935 56 181 2 59 102 27 23 45 32 13 5 175 6 118 40 35 506 143 24
Burglary
3 1 112 34 19 3 0 38 2 19 6 53 65 9 76 1 160 0 0 20 15 2 17 28 16 5 29 435 1 128 0 9 4 1 4 12 6 7 4 4 6 5 2 235 13 31 127 2 83 11 12 17 43 2 255 2 10 1 6 18 2 2 5 3 3 0 34 3 15 3 10 106 12 6
Larcenytheft
6 3 428 425 74 28 0 328 5 83 13 350 267 11 560 31 787 0 5 74 36 12 17 87 146 10 198 3,420 6 1,333 9 75 116 37 34 116 102 19 8 68 25 56 164 2,713 187 365 889 2 1,168 251 89 111 123 17 2,541 48 156 1 53 72 23 15 38 26 8 5 131 3 98 30 20 381 117 17
Motor vehicle theft
0 1 19 22 6 0 0 18 0 13 1 35 22 0 16 6 38 0 0 6 5 2 2 34 4 0 19 327 2 122 1 9 5 1 5 5 4 3 1 1 1 1 2 113 9 25 57 0 60 8 3 4 21 2 139 6 15 0 0 12 2 6 2 3 2 0 10 0 5 7 5 19 14 1
Arson1
0 0 10 0 0 0 0 2 0 0 0 0 0 0 3 0 2 0 0 0 0 1 0 0 0 0 8 28 0 16 0 2 2 0 1 0 0 1 0 0 0 0 1 27 4 4 14 0 10 5 0 0 0 0 17 1 0 0 2 0 1 0 1 0 0 0 7 0 1 0 1 5 0 0
SECTION II: OFFENSES REPORTED 145 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Broken Bow ............................. Central City.............................. Chadron.................................... Cozad ........................................ Crete ......................................... David City ................................ Emerson ................................... Falls City ................................... Fremont .................................... Gering ....................................... Gothenburg.............................. Grand Island ............................ Hastings .................................... Holdrege................................... Imperial .................................... Kearney .................................... La Vista..................................... Lexington ................................. Lincoln...................................... Lyons......................................... Milford...................................... Minden...................................... Mitchell..................................... Nebraska City .......................... Norfolk ..................................... Ogallala..................................... Omaha ...................................... O’Neill ...................................... Papillion.................................... Plainview .................................. Plattsmouth .............................. Ralston...................................... Scottsbluff................................. Seward ...................................... Sidney ....................................... South Sioux City...................... St. Paul ...................................... Superior .................................... Valentine .................................. Valley ........................................ Wahoo....................................... Wayne ....................................... West Point ................................ Wilber ....................................... Wymore .................................... York .......................................... NEVADA Boulder City............................. Carlin ........................................ Elko........................................... Fallon ........................................ Henderson................................ Las Vegas Metropolitan Police Department .................. Lovelock ................................... Mesquite ................................... North Las Vegas ...................... Reno.......................................... Sparks ....................................... West Wendover........................ Winnemucca............................. Yerington.................................. NEW HAMPSHIRE Alexandria................................ Alton ......................................... Amherst.................................... Antrim ...................................... Ashland .................................... Auburn...................................... Barrington ................................ Bartlett...................................... Bedford..................................... Belmont .................................... Bennington............................... Berlin ........................................ Bethlehem ................................ Boscawen.................................. 1 The
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
3,235 2,839 5,158 4,293 6,345 2,520 819 4,119 25,423 7,677 3,748 44,812 25,250 5,281 1,833 29,652 16,816 10,262 243,243 887 2,045 2,867 1,774 7,106 23,977 4,585 431,810 3,391 21,748 1,254 7,070 6,144 14,719 6,922 6,386 12,139 2,263 1,845 2,694 1,868 4,060 5,136 3,446 1,804 1,612 7,921 15,028 2,121 16,933 8,444 251,270
3 3 6 3 5 0 0 0 38 9 2 124 51 7 4 71 12 30 1,325 1 0 1 2 3 27 9 2,578 1 8 1 7 5 67 5 10 4 1 0 6 5 3 9 1 0 5 4 17 26 46 24 591
0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 1 0 6 0 0 0 0 0 0 0 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 9
2 1 1 2 0 0 0 0 14 0 1 5 16 1 2 6 5 2 113 1 0 1 0 2 15 5 189 0 2 0 4 0 12 0 2 1 0 0 0 1 2 3 1 0 1 0 0 2 14 3 66
0 0 0 0 0 0 0 0 2 0 0 16 9 0 1 6 3 3 173 0 0 0 0 0 3 0 818 0 1 0 0 1 7 1 0 1 0 0 0 0 0 0 0 0 1 3 2 0 7 2 227
1 2 5 1 5 0 0 0 22 9 0 99 26 6 1 59 3 25 1,033 0 0 0 2 1 9 4 1,529 1 5 1 3 4 48 4 8 2 1 0 6 4 1 6 0 0 3 1 14 24 25 19 289
35 49 114 59 199 45 10 73 748 225 47 2,112 896 134 14 960 316 384 11,755 7 20 83 42 217 681 178 20,657 14 358 11 178 155 853 71 196 194 10 9 80 68 73 140 35 9 22 247 179 31 523 361 6,293
6 5 22 9 33 16 4 15 94 32 0 313 164 21 2 139 26 47 1,904 3 2 18 11 29 71 15 3,345 2 20 2 10 15 116 12 25 25 3 5 15 7 20 35 6 0 5 20 89 14 87 46 1,789
28 40 71 49 158 28 6 53 619 177 46 1,662 685 105 10 796 268 328 9,428 4 16 65 30 181 584 154 13,876 12 321 9 159 120 712 54 166 160 7 3 54 58 51 102 27 9 16 218 79 14 392 296 3,215
1 4 21 1 8 1 0 5 35 16 1 137 47 8 2 25 22 9 423 0 2 0 1 7 26 9 3,436 0 17 0 9 20 25 5 5 9 0 1 11 3 2 3 2 0 1 9 11 3 44 19 1,289
0 0 1 0 2 0 1 1 5 1 0 5 10 3 0 12 3 6 2 0 0 0 0 0 3 1
1,341,156 1,886 15,660 211,419 214,197 86,884 5,128 8,051 3,947 1,524 5,205 11,836 2,642 2,029 5,235 8,384 2,945 21,389 7,365 1,488 9,909 2,452 3,930
13,641 14 21 1,777 1,513 352 12 28 0 2 6 8 2 3 3 2 2 20 9 1 20 2 4
119 0 0 28 17 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
723 3 2 53 95 36 0 3 0 0 1 2 1 1 1 0 0 1 3 0 5 1 0
5,251 1 2 645 516 134 2 3 0 0 0 4 0 1 0 0 0 4 0 0 3 1 0
7,548 10 17 1,051 885 179 8 22 0 2 5 2 1 1 2 2 2 15 6 1 12 0 3
58,897 54 450 8,195 9,418 3,603 137 114 53 12 72 159 72 38 47 86 36 224 135 41 152 37 35
15,296 23 32 2,334 1,835 832 32 35 38 3 32 27 18 5 14 37 6 42 33 6 45 15 11
27,156 27 374 3,631 6,511 2,422 99 67 15 9 32 128 47 27 31 45 29 173 98 33 101 21 24
16,445 4 44 2,230 1,072 349 6 12 0 0 8 4 7 6 2 4 1 9 4 2 6 1 0
334 0 0 33 21 22 1 1 0 1 3 0 1 1 0 0 0 1 6 0 8 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
0 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 4 1 1 7 65
146
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Bow ........................................... Brentwood................................ Bristol ....................................... Campton ................................... Candia....................................... Carroll....................................... Charlestown ............................. Chester...................................... Claremont................................. Colebrook ................................ Concord .................................... Conway ..................................... Dalton ....................................... Danville .................................... Deerfield................................... Deering ..................................... Derry......................................... Dover ........................................ Dunbarton................................ Enfield ...................................... Epping ...................................... Epsom ....................................... Exeter ....................................... Farmington ............................... Fitzwilliam ................................ Franconia.................................. Fremont .................................... Gilford ...................................... Gilmanton ................................ Goffstown................................. Gorham..................................... Grantham ................................. Greenland ................................ Hampstead ............................... Hampton................................... Hancock.................................... Hanover.................................... Haverhill................................... Henniker .................................. Hillsborough ............................ Hinsdale.................................... Hooksett ................................... Hopkinton ................................ Hudson ..................................... Jaffrey ....................................... Keene........................................ Kingston ................................... Laconia ..................................... Lancaster .................................. Lebanon.................................... Lee ............................................ Lincoln...................................... Lisbon ....................................... Litchfield .................................. Littleton.................................... Londonderry ............................ Loudon ..................................... Madison .................................... Marlborough ............................ Meredith ................................... Merrimack................................ Middleton ................................. Milford...................................... Milton ....................................... Moultonborough ..................... New Boston.............................. Newbury ................................... New Durham............................ Newfields.................................. New Hampton.......................... Newington ................................ New Ipswich............................. New London ............................ Newport.................................... 1 The
Population
8,250 3,866 3,145 3,001 4,200 752 4,987 4,793 13,291 2,406 42,638 9,300 907 4,425 4,220 2,070 34,118 28,661 2,641 4,890 6,263 4,609 14,851 6,688 2,321 1,052 4,156 7,569 3,621 17,810 2,914 2,578 3,409 8,904 15,493 1,824 11,198 4,623 5,187 5,539 4,219 13,705 5,651 24,996 5,729 22,693 6,284 17,153 3,362 12,589 4,481 1,322 1,663 8,737 6,213 25,121 5,215 2,329 2,107 6,780 26,847 1,806 15,271 4,531 5,019 5,121 2,129 2,536 1,598 2,283 816 5,258 4,510 6,570
Violent crime
5 2 3 4 3 3 2 2 39 2 87 36 2 6 1 2 73 20 1 6 5 4 13 22 1 0 7 11 2 11 3 2 3 4 10 2 14 15 5 16 12 7 2 23 12 54 4 47 3 18 2 2 1 7 9 25 5 2 4 8 2 1 26 6 3 3 0 2 4 1 2 0 0 11
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 0 0 2 0 0 0 0 5 1 16 5 0 0 0 0 14 5 1 0 1 0 4 2 1 0 0 1 0 2 1 0 0 0 3 0 10 2 1 4 5 4 2 3 4 12 1 13 2 5 0 0 1 0 5 5 2 1 2 3 0 1 7 3 1 0 0 1 1 0 0 0 0 1
Robbery
2 0 1 0 1 0 0 1 3 0 18 6 0 1 0 0 20 3 0 0 0 1 0 2 0 0 1 3 0 0 0 0 0 0 2 0 0 1 0 2 0 2 0 5 2 9 0 8 0 7 0 1 0 1 0 7 2 0 0 1 1 0 3 0 0 0 0 0 0 1 1 0 0 0
Aggravated assault
3 2 2 2 2 3 2 1 31 1 53 22 2 5 1 2 38 12 0 6 4 3 9 18 0 0 6 7 2 9 2 2 3 4 5 2 4 12 4 9 7 1 0 15 6 33 3 26 1 6 2 1 0 6 4 13 1 1 2 4 1 0 16 3 2 3 0 1 3 0 1 0 0 10
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
63 51 69 32 49 59 42 42 376 32 1,048 346 19 48 40 28 692 598 18 45 167 66 169 186 9 14 49 156 30 265 35 13 35 93 357 5 187 141 105 116 68 272 33 409 49 640 60 686 95 427 67 80 23 80 95 348 82 57 26 128 210 45 213 83 79 26 17 35 41 32 185 62 21 236
Burglary
15 6 14 25 13 9 13 18 49 9 166 45 11 8 4 4 150 68 4 9 40 14 25 31 3 2 17 19 12 48 3 2 4 24 56 0 17 30 24 41 12 31 1 70 20 86 14 100 19 35 20 6 3 15 14 62 11 15 11 14 43 20 53 19 15 9 2 3 7 10 4 15 3 30
Larcenytheft
44 41 52 3 34 43 27 22 309 16 852 289 7 38 35 23 488 510 12 36 123 43 140 142 5 12 29 128 14 212 32 9 30 63 278 4 166 104 78 69 55 227 31 318 25 537 40 560 70 384 38 73 19 59 77 246 58 40 15 108 155 24 147 58 59 17 15 28 32 21 175 39 16 194
Motor vehicle theft
4 4 3 4 2 7 2 2 18 7 30 12 1 2 1 1 54 20 2 0 4 9 4 13 1 0 3 9 4 5 0 2 1 6 23 1 4 7 3 6 1 14 1 21 4 17 6 26 6 8 9 1 1 6 4 40 13 2 0 6 12 1 13 6 5 0 0 4 2 1 6 8 2 12
Arson1
0 0 1 3 0 0 0 1 5 0 16 6 0 0 0 0 16 7 0 0 2 1 3 1 0 0 3 0 0 8 0 0 0 0 3 1 1 1 0 3 2 1 1 7 3 7 1 4 0 1 0 0 1 2 1 2 1 0 0 2 2 1 11 1 2 0 0 0 0 1 0 3 0 0
SECTION II: OFFENSES REPORTED 147 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
NEW JERSEY
1 The
City
Newton ..................................... Northfield ................................. North Hampton ....................... Northumberland...................... Northwood ............................... Nottingham .............................. Ossipee ..................................... Pelham ...................................... Pembroke ................................. Peterborough ........................... Pittsfield.................................... Plaistow..................................... Plymouth .................................. Portsmouth ............................... Raymond .................................. Rindge ...................................... Rochester ................................. Rollinsford ............................... Rye ............................................ Sandown ................................... Sandwich .................................. Seabrook .................................. Strafford ................................... Stratham ................................... Sugar Hill ................................. Sunapee .................................... Thornton................................... Tilton......................................... Troy ........................................... Wakefield ................................. Warner ...................................... Washington............................... Waterville Valley...................... Webster..................................... Wilton ....................................... Windham .................................. Wolfeboro................................. Woodstock................................ Aberdeen Township ................ Absecon.................................... Allendale .................................. Allenhurst ................................ Allentown................................. Alpha ........................................ Alpine ....................................... Andover Township .................. Asbury Park ............................. Atlantic City............................. Atlantic Highlands .................. Audubon................................... Audubon Park.......................... Avalon....................................... Avon-by-the-Sea...................... Barnegat Light......................... Barnegat Township.................. Barrington ................................ Bay Head.................................. Bayonne.................................... Beach Haven............................ Beachwood............................... Bedminster Township ............. Belleville................................... Bellmawr .................................. Belmar ...................................... Belvidere .................................. Bergenfield............................... Berkeley Heights Tow............. Berkeley Township.................. Berlin ........................................ Berlin Township....................... Bernards Township.................. Bernardsville............................ Beverly...................................... Blairstown Township...............
Population
4,544 5,257 4,600 2,397 4,122 4,564 4,723 12,774 7,466 6,127 4,476 7,702 6,406 20,584 10,256 6,541 30,355 2,627 5,219 5,873 1,335 8,588 4,084 7,293 602 3,398 2,105 3,645 2,098 5,477 3,021 1,084 271 1,900 3,946 13,283 6,710 1,181 18,301 8,029 6,683 698 1,839 2,426 2,418 6,523 16,473 39,781 4,594 8,941 1,066 2,116 2,156 829 21,098 6,973 1,254 58,583 1,360 10,696 8,412 34,291 11,143 5,897 2,689 26,078 13,515 42,388 7,875 5,381 27,020 7,654 2,639 5,956
Violent crime
2 4 1 1 3 2 4 5 6 12 8 2 18 31 19 8 62 1 2 5 1 14 0 2 0 0 1 10 3 5 2 2 0 3 5 13 2 2 25 28 2 1 1 18 2 20 351 860 6 9 0 4 2 0 27 11 0 189 5 21 2 117 17 16 0 30 3 56 8 10 1 0 17 2
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 6 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0
Forcible rape
0 0 0 1 1 0 1 2 2 3 2 0 6 11 6 1 9 1 1 2 1 1 0 1 0 0 1 4 0 2 0 0 0 1 1 8 1 0 1 2 0 0 0 0 0 0 11 28 0 1 0 1 0 0 1 2 0 6 0 0 0 1 2 0 0 1 0 4 0 0 0 0 0 0
Robbery
2 0 1 0 0 1 0 2 1 0 2 2 3 3 3 1 11 0 0 1 0 2 0 0 0 0 0 3 1 0 1 0 0 0 0 1 1 0 5 15 0 0 1 0 1 0 184 456 0 4 0 0 1 0 5 0 0 83 0 3 0 59 4 2 0 11 0 17 3 5 0 0 6 0
Aggravated assault
0 4 0 0 2 1 3 1 3 9 4 0 9 17 10 6 42 0 1 2 0 11 0 1 0 0 0 3 2 3 1 2 0 2 4 4 0 2 19 11 2 1 0 18 1 20 150 370 6 4 0 3 1 0 20 9 0 99 5 18 2 56 11 14 0 18 3 33 5 5 1 0 11 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
30 130 65 34 23 30 101 177 95 294 70 158 212 675 201 88 987 13 31 49 19 196 21 64 5 6 11 260 21 65 32 11 72 19 81 140 81 12 251 268 57 28 24 28 8 37 717 2,902 69 263 16 295 54 12 181 41 78 941 114 225 59 779 329 333 13 203 83 806 171 195 159 55 46 57
Burglary
5 21 4 7 12 11 36 57 26 198 12 17 30 72 28 12 163 4 7 6 4 21 12 12 0 3 2 20 11 24 9 2 0 6 43 38 26 6 38 70 10 4 5 2 2 8 235 545 9 27 1 48 13 3 43 12 13 212 8 42 14 150 78 70 1 39 9 135 36 18 14 6 16 8
Larcenytheft
24 104 56 26 10 17 60 103 62 96 56 129 178 579 162 71 769 8 24 34 15 169 9 49 3 3 7 232 7 37 23 8 70 13 36 93 47 6 198 188 45 23 16 23 6 28 410 2,157 60 226 13 244 41 8 131 22 65 626 105 181 44 448 227 254 12 154 68 647 128 163 136 48 25 47
Motor vehicle theft
1 5 5 1 1 2 5 17 7 0 2 12 4 24 11 5 55 1 0 9 0 6 0 3 2 0 2 8 3 4 0 1 2 0 2 9 8 0 15 10 2 1 3 3 0 1 72 200 0 10 2 3 0 1 7 7 0 103 1 2 1 181 24 9 0 10 6 24 7 14 9 1 5 2
Arson1
1 0 0 1 0 0 2 5 2 2 1 1 1 11 2 4 6 1 0 1 0 1 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 2 4 16 0 2 0 1 0 0 5 0 0 4 0 0 1 2 0 0 0 2 0 4 0 4 0 0 0 1
148
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Bloomfield................................ Bloomingdale........................... Bogota....................................... Boonton.................................... Boonton Township .................. Bordentown ............................. Bordentown Township............ Bound Brook ........................... Bradley Beach.......................... Branchburg Township ............. Brick Township ........................ Bridgeton.................................. Bridgewater Township ............ Brielle ....................................... Brigantine................................. Brooklawn................................ Buena........................................ Burlington ................................ Burlington Township............... Butler ........................................ Byram Township...................... Caldwell.................................... Camden..................................... Cape May ................................. Cape May Point ....................... Carlstadt ................................... Carney’s Point Towns.............. Carteret..................................... Cedar Grove Township........... Chatham ................................... Chatham Township.................. Cherry Hill Township.............. Chesilhurst ............................... Chester...................................... Chesterfield Township ............ Chester Township .................... Cinnaminson Township........... Clark Township........................ Clayton ..................................... Clementon................................ Cliffside Park ........................... Clifton ....................................... Clinton ...................................... Clinton Township..................... Closter....................................... Collingswood ........................... Colts Neck Township .............. Cranbury Township ................. Cranford Township.................. Cresskill .................................... Deal........................................... Delanco Township ................... Delaware Township................. Delran Township ..................... Demarest .................................. Denville Township................... Deptford Township ................. Dover ........................................ Dumont..................................... Dunellen ................................... Eastampton Township............. East Brunswick Township ...... East Greenwich Township...... East Hanover Township.......... East Newark............................. East Orange ............................. East Rutherford....................... East Windsor Township .......... Eatontown................................ Edgewater ................................ Edgewater Park Township...... Edison Township ..................... Egg Harbor City ...................... Egg Harbor Township............. 1 The
Population
45,171 7,570 8,072 8,562 4,377 3,935 10,423 10,180 4,763 14,982 77,886 24,281 44,620 4,831 12,829 2,284 3,787 9,672 21,691 8,038 8,618 7,340 78,967 3,792 229 6,010 7,946 22,165 12,791 8,353 10,233 71,269 1,871 1,644 6,422 7,855 15,381 14,585 7,436 4,900 22,868 79,253 2,593 14,020 8,691 13,899 11,536 3,882 22,270 8,400 1,039 4,205 4,709 17,206 5,083 16,597 30,082 18,306 17,288 6,909 6,667 47,438 6,758 11,581 2,207 66,949 8,891 26,807 13,960 9,585 7,933 99,082 4,434 38,621
Violent crime
124 3 8 4 8 2 22 18 15 2 97 379 15 5 12 15 22 46 31 6 2 2 1,755 4 0 14 31 55 8 1 1 98 5 0 0 2 19 8 14 31 27 221 0 9 2 27 13 4 10 0 3 5 1 21 0 2 151 66 13 8 13 42 10 4 5 525 3 20 20 9 16 225 20 86
Murder and nonnegligent manslaughter 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 42 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 8 0 0 0 0 0 0 1 0
Forcible rape
2 0 0 1 5 0 1 1 0 0 3 7 1 0 0 0 8 2 2 6 1 0 67 0 0 2 4 4 0 0 0 3 0 0 0 0 2 1 1 0 0 5 0 2 0 4 0 1 1 0 1 1 0 1 0 0 0 4 4 0 4 9 2 0 0 32 0 3 0 0 0 0 1 8
Robbery
82 0 5 0 0 1 10 11 3 1 12 171 6 0 5 7 1 23 14 0 0 0 781 2 0 4 6 24 1 0 0 43 1 0 0 0 8 2 9 6 10 108 0 1 0 15 2 0 5 0 0 0 0 11 0 0 58 39 0 4 3 11 0 2 0 239 1 4 12 1 8 86 7 26
Aggravated assault
39 3 3 3 3 1 11 6 12 1 82 200 8 5 7 8 13 19 15 0 1 2 865 2 0 8 20 27 7 1 1 51 4 0 0 2 9 5 4 25 17 108 0 6 2 8 11 3 4 0 2 4 1 8 0 2 92 23 9 4 6 21 8 2 5 246 2 13 8 8 8 139 11 52
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
1,283 51 75 47 24 58 165 233 138 104 1,355 1,243 706 75 197 196 110 216 459 130 53 36 4,600 202 10 198 151 359 170 59 37 2,152 51 28 37 45 272 217 199 138 224 1,910 13 55 44 433 97 39 229 67 52 89 22 218 28 173 1,298 313 170 156 88 830 91 245 31 1,813 265 350 575 220 172 2,239 99 939
Burglary
182 7 12 13 7 7 26 63 29 14 249 376 91 48 49 17 44 40 55 33 6 8 1,128 29 3 22 43 62 27 9 3 255 16 5 3 12 48 17 38 27 50 389 0 18 7 79 10 6 32 6 22 31 6 36 4 29 166 53 16 17 20 92 24 16 4 446 20 42 53 9 39 437 36 210
Larcenytheft
900 43 58 30 17 44 121 160 108 86 1,057 795 584 27 147 162 62 157 381 90 45 25 2,311 172 7 156 92 250 137 50 34 1,759 26 23 34 31 211 195 152 102 163 1,319 12 36 36 305 83 28 191 60 29 54 11 159 24 137 1,052 235 151 133 62 707 64 216 23 890 219 299 506 201 115 1,578 54 676
Motor vehicle theft
201 1 5 4 0 7 18 10 1 4 49 72 31 0 1 17 4 19 23 7 2 3 1,161 1 0 20 16 47 6 0 0 138 9 0 0 2 13 5 9 9 11 202 1 1 1 49 4 5 6 1 1 4 5 23 0 7 80 25 3 6 6 31 3 13 4 477 26 9 16 10 18 224 9 53
Arson1
4 0 0 3 0 0 1 0 0 0 4 6 1 0 0 0 1 5 1 0 1 0 115 0 0 0 0 8 3 1 0 1 0 0 0 3 1 0 0 2 0 2 0 0 0 2 0 0 0 1 0 0 0 0 0 0 17 2 0 5 3 13 1 0 0 28 1 3 1 0 2 6 1 15
SECTION II: OFFENSES REPORTED 149 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Elizabeth................................... Elk Township ........................... Elmer ........................................ Elmwood Park ......................... Elsinboro Township................. Emerson ................................... Englewood ............................... Englewood Cliffs ..................... Englishtown ............................. Essex Fells ................................ Evesham Township.................. Ewing Township....................... Fairfield Township, Essex County ........................... Fair Haven................................ Fair Lawn.................................. Fairview .................................... Fanwood ................................... Far Hills .................................... Flemington ............................... Florence Township .................. Florham Park ........................... Fort Lee .................................... Franklin .................................... Franklin Lakes ......................... Franklin Township, Gloucester County .................. Franklin Township, Hunterdon County .................. Franklin Township, Somerset County ..................... Freehold.................................... Freehold Township .................. Frenchtown .............................. Galloway Township ................. Garfield..................................... Garwood................................... Gibbsboro ................................ Glassboro ................................. Glen Ridge ............................... Glen Rock ................................ Gloucester City........................ Gloucester Township............... Green Brook Township .......... Greenwich Township, Gloucester County .................. Greenwich Township, Warren County ........................ Guttenberg ............................... Hackensack .............................. Hackettstown ........................... Haddonfield ............................. Haddon Heights ...................... Haddon Township ................... Haledon .................................... Hamburg................................... Hamilton Township, Atlantic County ....................... Hamilton Township, Mercer County......................... Hammonton ............................. Hanover Township .................. Harding Township ................... Hardyston Township ............... Harrington Park ...................... Harrison.................................... Harrison Township .................. Harvey Cedars ......................... Hasbrouck Heights.................. Haworth.................................... Hawthorne ............................... Hazlet Township ...................... Helmetta................................... High Bridge.............................. Highland Park.......................... Highlands ................................. Hightstown ............................... Hillsborough Township........... Hillsdale.................................... Hillside Township .................... Hi-Nella .................................... Hoboken................................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
125,621 3,850 1,364 18,722 1,068 7,286 27,701 5,767 1,833 2,062 46,504 36,753
939 1 0 24 2 2 70 4 2 0 34 89
16 0 0 1 0 0 0 0 0 0 1 1
25 0 0 0 0 0 1 0 0 0 6 5
612 0 0 13 0 1 38 1 1 0 8 27
286 1 0 10 2 1 31 3 1 0 19 56
5,253 110 31 448 25 40 418 78 24 14 701 685
786 26 4 75 15 7 145 13 3 3 78 137
3,115 72 27 337 8 32 246 61 21 11 598 492
1,352 12 0 36 2 1 27 4 0 0 25 56
14 3 0 0 0 0 2 0 0 0 4 6
7,673 5,859 31,108 13,568 7,179 924 4,248 11,585 12,549 36,844 5,187 11,290
12 0 34 72 5 0 14 16 6 17 4 4
0 0 0 0 0 0 0 0 1 0 0 0
1 0 2 6 1 0 1 2 1 0 2 0
2 0 7 23 2 0 3 5 2 8 0 2
9 0 25 43 2 0 10 9 2 9 2 2
359 57 395 242 64 14 152 151 97 306 74 128
31 0 62 64 11 4 21 51 5 63 9 16
314 56 318 161 51 10 126 89 88 237 58 107
14 1 15 17 2 0 5 11 4 6 7 5
1 1 0 0 0 0 2 1 0 2 1 0
16,778
17
0
3
2
12
335
107
205
23
4
3,138
1
0
0
0
1
39
3
34
2
1
60,006 11,344 33,803 1,484 36,045 29,515 4,214 2,440 19,274 6,877 11,346 11,431 65,396 6,824
64 54 54 1 146 57 2 1 85 11 2 39 174 5
4 0 0 0 1 1 0 0 4 0 0 0 0 0
8 5 8 0 11 2 0 1 6 0 0 8 9 2
30 28 22 0 17 18 1 0 37 8 1 15 47 3
22 21 24 1 117 36 1 0 38 3 1 16 118 0
959 247 916 21 850 402 59 38 668 147 60 313 1,706 137
215 33 69 8 200 128 3 12 148 21 12 65 439 20
625 204 825 13 597 224 52 26 475 116 47 219 1,153 100
119 10 22 0 53 50 4 0 45 10 1 29 114 17
7 0 1 0 4 0 0 1 10 1 0 0 11 0
4,950
7
0
1
3
3
143
32
110
1
0
5,206 10,670 43,478 9,436 11,464 7,332 14,420 8,321 3,538
8 39 124 16 7 4 28 19 4
0 0 2 0 0 0 0 0 0
3 0 0 0 0 1 0 0 1
0 23 38 0 2 2 15 4 0
5 16 84 16 5 1 13 15 3
112 115 1,099 173 255 115 368 152 46
11 30 120 24 31 13 62 41 22
99 74 898 146 219 100 269 81 23
2 11 81 3 5 2 37 30 1
0 0 3 1 5 3 1 0 3
24,315
64
1
1
24
38
1,131
179
900
52
5
90,158 13,512 13,676 3,348 8,246 4,894 13,880 11,797 387 11,570 3,418 18,086 20,843 2,014 3,746 14,112 4,965 5,277 37,941 10,008 21,588 1,003 39,676
195 20 11 2 6 1 44 6 0 2 2 9 7 0 4 10 2 12 11 4 97 1 151
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0
7 1 0 0 2 0 2 0 0 0 0 1 0 0 1 1 0 0 4 1 6 0 4
103 4 2 0 0 0 28 1 0 1 0 2 5 0 0 4 0 4 2 1 67 0 50
85 15 9 2 4 1 14 5 0 1 2 6 2 0 3 5 2 8 4 2 22 1 97
1,723 161 177 20 62 8 320 163 24 127 12 321 328 12 45 214 77 89 349 73 706 29 997
346 36 21 2 24 0 94 21 4 22 4 35 42 7 7 47 25 14 72 7 141 15 251
1,209 114 142 18 33 7 176 139 20 103 7 276 268 5 36 157 48 70 262 66 425 12 640
168 11 14 0 5 1 50 3 0 2 1 10 18 0 2 10 4 5 15 0 140 2 106
8 2 0 0 0 0 0 3 0 0 0 0 8 0 1 2 1 1 3 0 5 1 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
150
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Ho-Ho-Kus............................... Holland Township ................... Holmdel Township .................. Hopatcong................................ Hopewell .................................. Hopewell Township................. Howell Township ..................... Independence Township ......... Interlaken ................................. Irvington ................................... Island Heights .......................... Jackson Township .................... Jamesburg................................. Jefferson Township.................. Jersey City ................................ Keansburg ................................ Kearny ...................................... Kenilworth ............................... Keyport..................................... Kinnelon ................................... Lacey Township ....................... Lake Como............................... Lakehurst ................................. Lakewood Township ............... Lambertville............................. Laurel Springs.......................... Lavallette.................................. Lawnside .................................. Lawrence Township, Mercer County......................... Lebanon Township .................. Leonia ....................................... Lincoln Park............................. Linden....................................... Lindenwold .............................. Linwood.................................... Little Egg Harbor Tow............ Little Falls Township ............... Little Ferry ............................... Little Silver............................... Livingston Township ............... Loch Arbour ............................ Lodi ........................................... Logan Township....................... Long Beach Township............. Long Branch ............................ Long Hill Township................. Longport................................... Lopatcong Township ............... Lower Alloways Creek ........... Lower Township ...................... Lumberton Township.............. Lyndhurst Township................ Madison .................................... Magnolia................................... Mahwah Township................... Manalapan Township .............. Manasquan ............................... Manchester Township ............. Mansfield Township, Burlinton County .................... Mansfield Township, Warren County ........................ Mantoloking............................. Mantua Township .................... Manville.................................... Maple Shade Townshi ............. Maplewood Township ............. Margate City ............................ Marlboro Township ................. Matawan ................................... Maywood.................................. Medford Lakes ........................ Medford Township .................. Mendham ................................. Mendham Township................ Merchantville ........................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
4,077 5,286 16,759 15,814 2,013 17,888 50,324 5,744 877 57,767 1,869 52,073 6,401 21,866 240,718 10,526 37,840 7,707 7,438 9,638 26,184 1,744 2,662 69,298 3,791 1,914 2,740 2,788
1 2 10 7 3 9 57 3 0 1,236 0 23 5 17 2,421 46 108 1 13 2 23 4 8 182 10 10 0 22
0 0 0 0 0 0 1 0 0 23 0 0 0 0 20 0 0 0 0 0 0 0 0 3 0 0 0 0
1 1 1 0 0 0 3 0 0 29 0 2 1 1 47 4 6 0 1 0 0 0 1 1 0 1 0 2
0 0 1 0 1 1 15 0 0 616 0 3 1 3 1,248 7 50 0 5 1 3 1 0 96 2 2 0 6
0 1 8 7 2 8 38 3 0 568 0 18 3 13 1,106 35 52 1 7 1 20 3 7 82 8 7 0 14
13 21 209 104 26 121 600 44 3 3,298 9 571 68 232 6,804 269 1,098 137 144 64 699 38 39 1,448 54 28 71 97
2 11 16 11 11 28 101 10 0 928 0 99 16 86 1,504 42 146 7 37 31 95 14 8 462 12 8 22 9
10 8 186 88 15 87 466 32 3 1,354 9 441 45 141 4,082 215 760 117 94 32 598 21 30 886 41 18 49 85
1 2 7 5 0 6 33 2 0 1,016 0 31 7 5 1,218 12 192 13 13 1 6 3 1 100 1 2 0 3
0 0 0 0 0 0 5 0 0 14 0 10 0 4 100 2 9 0 9 1 2 0 0 10 0 0 0 0
31,939 6,264 8,760 10,808 39,697 17,084 7,321 20,193 11,777 10,668 6,062 28,287 273 24,202 6,150 3,483 32,171 8,746 1,083 8,402 1,906 20,693 12,276 19,645 15,945 4,360 24,451 37,004 6,172 41,628
55 1 10 5 142 179 8 23 16 20 5 21 0 29 2 6 91 3 1 7 2 68 17 9 9 24 10 30 11 15
0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0
13 0 0 2 6 7 0 3 0 2 0 2 0 0 1 0 0 0 0 0 0 1 2 0 2 0 2 2 1 0
21 0 4 0 84 96 1 3 4 3 1 8 0 9 1 0 42 0 0 3 0 11 6 4 1 11 0 7 1 2
21 1 6 3 51 76 7 17 12 15 4 11 0 20 0 6 49 3 1 4 2 56 8 4 6 13 8 21 8 13
878 47 89 92 1,357 615 76 481 454 124 106 439 8 346 130 261 683 55 13 103 21 459 316 386 143 111 135 419 165 356
96 15 16 20 242 205 22 79 79 16 38 33 1 90 20 23 203 8 4 13 5 95 42 62 20 25 5 49 22 85
730 31 69 67 904 329 53 391 361 92 67 382 7 221 106 238 450 47 9 83 16 348 266 283 122 79 113 355 142 256
52 1 4 5 211 81 1 11 14 16 1 24 0 35 4 0 30 0 0 7 0 16 8 41 1 7 17 15 1 15
4 0 0 1 6 9 0 6 0 0 0 2 1 1 0 0 0 0 0 0 0 1 10 0 0 0 0 1 1 14
8,011
2
0
1
0
1
126
17
92
17
3
8,237 449 14,908 10,435 19,454 22,658 8,563 39,667 8,742 9,332 4,143 23,295 5,153 5,571 3,789
4 0 20 2 42 57 6 26 6 2 1 14 2 6 3
0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
0 0 3 1 6 0 0 1 1 0 0 2 0 0 0
1 0 7 1 24 33 1 4 1 0 0 2 0 1 3
3 0 10 0 12 23 4 21 4 2 1 10 2 5 0
133 17 368 156 399 399 154 398 96 89 27 266 26 27 83
24 2 78 9 76 42 26 85 14 32 1 62 1 3 13
99 15 279 135 265 286 123 295 76 56 26 199 23 24 65
10 0 11 12 58 71 5 18 6 1 0 5 2 0 5
1 0 3 4 1 2 1 5 0 0 0 8 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 151 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Metuchen.................................. Middlesex ................................. Middle Township ..................... Middletown Township............. Midland Park ........................... Millburn Township .................. Milltown ................................... Millville..................................... Mine Hill Township................. Monmouth Beach.................... Monroe Township, Gloucester County .................. Monroe Township, Middlesex County ................... Montclair .................................. Montgomery Townshi ............. Montvale................................... Montville Township................. Moonachie................................ Moorestown Township............ Morris Plains ............................ Morristown............................... Morris Township...................... Mountain Lakes....................... Mountainside ........................... Mount Arlington ..................... Mount Ephraim ....................... Mount Holly Township ........... Mount Laurel Township ......... Mount Olive Township ........... Mullica Township..................... National Park........................... Neptune City............................ Neptune Township................... Netcong..................................... Newark ..................................... New Brunswick........................ Newfield ................................... New Hanover Township ......... New Milford............................. New Providence....................... Newton ..................................... North Arlington....................... North Bergen Township.......... North Brunswick Township.... North Caldwell ........................ Northfield ................................. North Haledon......................... North Hanover Township....... North Plainfield ....................... Northvale.................................. North Wildwood ...................... Norwood................................... Nutley Township...................... Oakland .................................... Oaklyn ...................................... Ocean City................................ Ocean Gate .............................. Oceanport................................. Ocean Township, Monmouth County.................. Ocean Township, Ocean County .......................... Ogdensburg.............................. Old Bridge Township .............. Old Tappan............................... Oradell...................................... Orange ...................................... Oxford Township ..................... Palisades Park .......................... Palmyra..................................... Paramus .................................... Park Ridge ............................... Parsippany-Troy Hills Township .................................. Passaic....................................... Paterson.................................... Paulsboro.................................. Peapack and Gladstone .......... 1 The
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
13,157 13,685 16,306 67,279 6,875 19,068 7,007 28,069 3,650 3,558
28 10 82 55 4 9 3 255 0 3
0 0 0 0 0 0 0 4 0 0
1 0 11 8 0 0 1 15 0 1
5 3 22 9 0 6 0 102 0 0
22 7 49 38 4 3 2 134 0 2
278 134 725 833 45 615 120 1,448 36 58
43 23 163 120 3 35 15 343 10 3
233 98 523 675 41 536 100 1,057 25 55
2 13 39 38 1 44 5 48 1 0
0 1 9 0 2 2 0 10 0 0
31,793
44
2
2
10
30
669
157
465
47
6
34,752 37,144 23,140 7,276 21,347 2,785 19,907 5,576 18,838 21,279 4,324 6,615 5,683 4,417 10,555 40,147 25,950 6,053 3,201 5,127 28,038 3,277 280,158 49,950 1,657 9,437 16,171 11,862 8,300 15,010 56,984 39,676 7,175 7,968 8,999 7,543 21,642 4,542 4,782 6,239 26,891 13,498 4,062 15,057 2,121 5,726
10 97 4 2 8 3 22 4 121 30 3 4 3 12 41 41 6 13 7 12 166 5 2,389 283 3 0 3 6 5 15 109 90 4 3 13 1 61 2 16 1 48 6 13 28 6 1
0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 104 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
1 5 0 0 0 0 4 0 1 4 0 1 0 1 0 11 1 0 1 1 3 1 60 25 0 0 0 0 0 1 10 3 1 0 0 0 3 0 2 0 2 0 0 3 0 0
1 50 1 0 2 1 5 4 56 3 0 0 0 8 21 12 0 2 0 7 74 0 1,101 169 0 0 1 1 1 2 55 39 0 3 0 0 36 1 4 0 16 0 5 19 1 0
8 40 3 2 6 2 13 0 64 23 3 3 3 3 20 18 5 11 6 4 86 4 1,124 87 3 0 2 5 4 12 44 48 3 0 13 1 22 1 10 1 30 6 8 6 3 1
257 780 212 57 162 90 424 67 500 130 75 70 56 189 321 828 266 108 69 209 1,368 77 10,664 1,883 22 6 99 115 117 203 1,010 888 45 123 70 60 545 36 366 18 417 87 123 1,153 40 55
55 207 61 7 39 16 57 6 73 23 22 11 13 37 54 77 38 36 10 30 261 20 1,914 448 14 3 15 26 25 22 151 203 14 38 11 13 126 5 47 5 58 6 38 183 9 3
190 496 144 48 119 64 351 58 410 97 52 54 43 140 257 726 217 60 56 176 1,016 52 4,385 1,273 8 3 81 86 88 154 719 588 30 82 57 42 349 30 317 13 317 80 79 961 30 50
12 77 7 2 4 10 16 3 17 10 1 5 0 12 10 25 11 12 3 3 91 5 4,365 162 0 0 3 3 4 27 140 97 1 3 2 5 70 1 2 0 42 1 6 9 1 2
1 1 0 0 3 1 1 0 4 2 0 0 0 0 1 1 0 0 0 0 9 0 93 7 0 0 0 1 1 0 4 2 1 0 0 1 5 0 0 0 11 0 1 0 0 1
27,362
41
0
2
18
21
716
89
600
27
0
8,205 2,611 65,370 5,986 7,922 31,717 2,610 19,220 7,564 26,430 8,905
4 1 41 1 4 391 1 24 26 54 1
0 0 0 0 0 5 0 1 0 0 0
0 0 0 0 1 9 0 1 1 1 1
0 0 15 0 1 220 0 11 5 25 0
4 1 26 1 2 157 1 11 20 28 0
104 14 903 20 41 1,468 29 140 151 1,578 43
19 4 145 2 6 447 4 40 36 68 3
85 9 682 18 35 620 23 83 104 1,467 40
0 1 76 0 0 401 2 17 11 43 0
0 0 5 0 0 5 1 0 1 9 0
51,609 67,673 148,049 6,035 2,469
42 695 1,479 27 0
0 3 14 0 0
5 3 26 0 0
10 313 695 4 0
27 376 744 23 0
881 1,587 4,376 261 21
356 395 1,460 40 8
479 952 2,004 199 13
46 240 912 22 0
2 4 19 1 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
152
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Pemberton................................ Pemberton Township .............. Pennington ............................... Pennsauken Township............. Penns Grove............................. Pennsville Township................ Pequannock Township ............ Perth Amboy............................ Phillipsburg .............................. Pine Beach................................ Pine Hill.................................... Pine Valley................................ Piscataway Township............... Pitman....................................... Plainfield .................................. Plainsboro Township ............... Pleasantville ............................. Plumsted Township ................. Pohatcong Township ............... Point Pleasant .......................... Point Pleasant Beach .............. Pompton Lakes ........................ Princeton .................................. Princeton Township................. Prospect Park........................... Rahway ..................................... Ramsey ..................................... Randolph Township ................ Raritan...................................... Raritan Township .................... Readington Township ............. Red Bank ................................. Ridgefield ................................. Ridgefield Park........................ Ridgewood ............................... Ringwood ................................. Riverdale .................................. River Edge ............................... Riverside Township ................. Riverton.................................... River Vale Township ............... Rochelle Park Townsh ............ Rockaway ................................. Rockaway Township ............... Rockleigh ................................. Roseland................................... Roselle ...................................... Roselle Park............................. Roxbury Township .................. Rumson .................................... Runnemede.............................. Rutherford ............................... Saddle Brook Township.......... Saddle River............................. Salem......................................... Sayreville .................................. Scotch Plains Township........... Sea Bright................................. Sea Girt..................................... Sea Isle City ............................. Seaside Heights ....................... Seaside Park............................. Secaucus ................................... Ship Bottom ............................. Shrewsbury............................... Somerdale ................................ Somers Point ............................ Somerville ................................ South Amboy ........................... South Bound Brook ................ South Brunswick Township3... South Hackensack Township .. South Harrison Township....... South Orange........................... 1 The 3 The
Population
1,375 28,703 2,676 35,286 4,776 13,274 16,248 48,392 14,765 2,023 11,225 23 52,425 9,158 47,143 21,119 18,898 8,086 3,395 19,794 5,374 11,193 13,623 17,276 5,695 27,720 14,710 25,622 6,399 22,619 16,223 11,798 10,947 12,609 24,530 12,757 2,664 10,814 7,915 2,703 9,708 6,000 6,382 25,675 391 5,376 21,064 13,066 23,698 7,162 8,424 17,792 13,565 3,769 5,758 42,372 23,143 1,791 2,035 2,936 3,228 2,292 15,493 1,421 3,701 5,100 11,522 12,494 7,830 4,504 40,390 2,303 2,943 16,298
Violent crime
5 76 1 155 42 9 7 215 24 1 51 0 85 4 485 10 179 4 23 18 9 7 15 9 13 84 16 4 8 5 13 40 5 18 9 7 3 5 10 2 4 6 4 20 5 1 84 29 17 0 31 15 5 0 78 59 28 2 2 14 61 0 18 4 5 14 39 20 15 1 21 9 5 56
Murder and nonnegligent manslaughter 0 1 0 0 1 0 0 3 2 0 0 0 1 0 4 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0
Forcible rape
Robbery
1 3 0 4 1 0 0 1 2 0 1 0 2 0 9 2 3 0 0 1 2 2 0 0 0 1 0 0 0 0 4 4 2 2 0 2 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 8 5 3 0 1 0 3 0 0 0 0 1 1 0 0 0 2 1 0 0
1 30 0 76 4 1 0 115 4 1 11 0 29 0 240 4 80 1 2 3 6 1 3 0 2 58 5 1 2 0 1 19 1 7 4 0 0 0 8 0 0 0 2 7 0 1 67 17 5 0 8 5 2 0 22 19 6 0 0 0 10 0 6 0 0 5 5 13 0 1 4 4 0 31
Aggravated assault
3 42 1 75 36 8 7 96 16 0 39 0 53 4 232 4 93 3 21 14 1 4 12 9 11 25 11 3 6 5 8 17 2 9 5 5 3 5 1 2 4 6 2 12 5 0 17 11 12 0 22 10 3 0 47 34 19 2 1 14 48 0 12 4 5 8 32 7 14 0 15 4 5 25
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
Property crime
Burglary
16 560 13 1,514 173 391 179 1,111 305 32 247 1 845 125 1,370 189 634 93 108 341 265 99 332 147 129 656 194 212 118 219 117 287 103 201 244 83 89 55 89 56 50 114 56 552 5 27 384 248 341 58 332 296 385 19 357 693 236 45 49 293 189 66 647 76 72 114 303 296 107 28
4 182 5 362 56 49 41 187 71 5 53 0 158 7 229 21 208 18 10 33 35 10 70 27 39 125 25 20 21 28 25 61 28 32 25 13 15 10 23 12 2 24 9 39 1 1 98 47 57 10 42 41 35 6 121 165 43 3 16 28 23 12 22 11 8 24 81 42 31 3
69 23 393
8 5 69
Larcenytheft
11 342 8 941 110 332 125 775 213 26 175 1 626 110 951 161 373 67 94 304 220 88 261 113 74 461 167 184 96 185 92 215 60 161 215 70 68 44 58 42 48 83 46 499 4 25 230 185 272 48 275 231 328 13 212 474 186 41 30 263 152 51 563 65 64 82 220 237 64 22 377 56 17 241
Motor vehicle theft
1 36 0 211 7 10 13 149 21 1 19 0 61 8 190 7 53 8 4 4 10 1 1 7 16 70 2 8 1 6 0 11 15 8 4 0 6 1 8 2 0 7 1 14 0 1 56 16 12 0 15 24 22 0 24 54 7 1 3 2 14 3 62 0 0 8 2 17 12 3 33 5 1 83
Arson1
0 2 0 7 4 1 0 3 4 0 19 0 7 2 7 1 2 0 0 0 0 0 3 1 0 0 0 2 0 1 0 3 1 0 2 0 0 0 0 0 1 1 0 1 0 1 3 0 0 1 3 3 0 0 3 4 2 0 0 1 0 0 0 1 0 0 5 0 3 0 3 3 0 0
SECTION II: OFFENSES REPORTED 153 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
South Plainfield ....................... South River .............................. South Toms River .................... Sparta Township ...................... Spotswood ................................ Springfield ................................ Springfield Township............... Spring Lake .............................. Spring Lake Heights ............... Stafford Township ................... Stanhope................................... Stillwater Township ................. Stone Harbor ........................... Stratford ................................... Summit...................................... Surf City.................................... Swedesboro .............................. Tavistock................................... Teaneck Township ................... Tenafly ...................................... Teterboro.................................. Tewksbury Township............... Tinton Falls............................... Toms River Township.............. Totowa ...................................... Trenton ..................................... Tuckerton ................................. Union Beach ............................ Union City................................ Union Township....................... Upper Saddle River ................ Ventnor City............................. Vernon Township..................... Verona ...................................... Vineland ................................... Voorhees Township ................. Waldwick .................................. Wallington ................................ Wall Township.......................... Wanaque................................... Warren Township..................... Washington............................... Washington Township, Bergen County......................... Washington Township, Gloucester County .................. Washington Township, Mercer County......................... Washington Township, Morris County ......................... Washington Township, Warren County ........................ Watchung.................................. Waterford Township................ Wayne Township...................... Weehawken Township ............ Wenonah................................... Westampton Township............ West Amwell Township........... West Caldwell Towns .............. West Cape May........................ West Deptford Townsh ........... Westfield................................... West Long Branch................... West Milford Townshi ............. West New York ........................ West Orange ............................ West Paterson .......................... Westville ................................... West Wildwood ........................ West Windsor Township.......... Westwood ................................. Wharton.................................... Wildwood ................................. Wildwood Crest ....................... Willingboro Township ............. Winfield Township................... Winslow Township................... Woodbine ................................. 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
22,694 15,752 3,700 19,262 8,143 14,652 3,554 3,460 5,083 25,705 3,650 4,366 1,034 7,090 21,010 1,535 2,034 26 39,435 14,326 18 6,061 17,006 94,469 10,587 83,551 3,810 6,602 63,647 54,795 8,493 12,508 25,340 12,880 58,013 29,261 9,578 11,379 25,882 11,122 15,746 6,811
34 25 10 5 6 13 1 3 2 20 1 3 4 19 10 1 5 0 63 1 2 4 13 123 11 1,165 4 12 406 144 2 25 14 8 334 53 6 11 25 6 4 8
0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 25 0 0 1 0 0 0 0 0 5 1 0 0 0 0 0 1
0 0 0 0 0 2 0 1 0 0 1 0 3 0 0 1 0 0 1 1 0 2 4 14 3 15 0 0 4 1 0 1 0 1 13 6 0 0 0 0 1 0
15 5 5 0 0 6 0 0 0 3 0 0 0 9 4 0 0 0 31 0 2 0 4 46 1 595 0 3 182 69 0 14 1 0 147 13 1 8 1 2 0 4
19 20 5 5 6 5 1 2 2 16 0 3 1 10 6 0 5 0 31 0 0 2 4 63 7 530 4 9 219 74 2 10 13 7 169 33 5 3 24 4 3 3
429 163 100 96 100 238 31 80 18 489 51 20 62 177 285 47 54 1 549 97 38 22 308 2,039 272 2,645 44 88 1,422 1,331 42 403 399 118 2,576 784 72 167 380 155 132 195
76 38 15 9 14 31 6 9 1 51 12 8 25 28 14 8 15 0 132 23 4 12 43 327 29 852 3 17 332 205 8 141 52 28 589 115 4 35 85 19 26 37
321 113 76 85 82 190 19 71 17 425 38 10 34 137 259 37 32 1 373 70 27 10 247 1,637 222 1,408 39 68 917 935 32 251 339 82 1,896 645 68 112 279 131 100 151
32 12 9 2 4 17 6 0 0 13 1 2 3 12 12 2 7 0 44 4 7 0 18 75 21 385 2 3 173 191 2 11 8 8 91 24 0 20 16 5 6 7
0 7 1 0 1 0 0 0 0 0 3 0 0 1 0 0 0 0 11 1 0 0 2 12 0 21 0 0 7 1 0 5 4 0 15 25 0 0 0 0 0 4
9,627
0
0
0
0
0
26
4
22
0
0
51,595
78
0
3
19
56
1,104
227
791
86
14
11,853
8
0
0
2
6
93
18
73
2
1
18,608
10
0
1
1
8
122
17
104
1
0
6,950 6,256 10,660 54,606 12,593 2,323 8,732 2,931 10,749 1,003 21,667 29,811 8,275 28,019 46,193 43,343 11,184 4,438 406 26,163 10,886 6,183 5,285 3,691 32,899 1,479 38,441 2,497
1 5 13 40 29 1 17 4 6 1 32 19 13 35 197 89 9 23 4 15 11 7 84 14 107 1 161 1
0 0 0 0 0 0 0 0 0 0 2 0 0 0 4 2 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 1 2 2 6 4 2 0 0 1 0 0 1 4 0 14 0 11 0
0 2 3 18 19 1 6 0 0 0 13 2 3 1 97 48 5 8 0 3 2 2 41 0 51 0 34 0
1 2 10 22 10 0 11 4 6 1 16 15 8 28 92 37 4 15 3 12 9 4 39 14 42 1 116 1
58 288 196 1,413 306 19 190 26 90 38 451 352 242 355 837 795 332 132 21 536 108 95 690 160 630 10 742 9
3 15 44 185 51 8 21 10 6 7 86 40 32 87 192 162 70 34 8 55 18 21 180 42 143 5 252 0
53 266 133 1,175 207 11 156 16 81 31 330 300 205 251 543 501 244 78 13 453 84 67 477 118 433 5 433 8
2 7 19 53 48 0 13 0 3 0 35 12 5 17 102 132 18 20 0 28 6 7 33 0 54 0 57 1
0 1 6 1 0 0 4 0 1 0 3 1 2 1 4 0 0 0 0 1 0 0 0 0 5 0 14 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
154
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
NEW MEXICO
NEW YORK
1 The 7
City
Woodbridge Township ............ Woodbury................................. Woodbury Heights .................. Woodcliff Lake ........................ Woodlynne ............................... Wood-Ridge ............................. Woodstown............................... Woolwich Township ................ Wyckoff Township ................... Alamogordo ............................. Albuquerque............................ Artesia ...................................... Aztec ......................................... Bayard ...................................... Belen ......................................... Bloomfield................................ Bosque Farms .......................... Carlsbad.................................... Carrizozo .................................. Clovis ........................................ Corrales .................................... Cuba.......................................... Deming ..................................... Dexter ....................................... Estancia .................................... Eunice ....................................... Farmington ............................... Gallup ....................................... Grants ....................................... Hobbs........................................ Jal............................................... Las Cruces7............................... Las Vegas.................................. Los Alamos .............................. Los Lunas ................................. Lovington ................................. Melrose ..................................... Milan ......................................... Moriarty.................................... Raton ........................................ Rio Rancho .............................. Roswell ..................................... Ruidoso Downs ....................... Santa Rosa ............................... Silver City................................. Socorro ..................................... Springer .................................... Sunland Park7 .......................... Taos ........................................... Taos Ski Valley......................... Truth or Consequences ........... Adams Village.......................... Addison Town and Village ..... Akron Village........................... Albany ...................................... Albion Village.......................... Alexandria Bay Village........... Alfred Village........................... Allegany Village ...................... Altamont Village ..................... Amherst Town ......................... Amity Town and Belmont Village ....................... Amityville Village.................... Amsterdam .............................. Ardsley Village ........................ Asharoken Village................... Attica Village ........................... Auburn...................................... Avon Village............................. Bainbridge Village................... Baldwinsville Village............... Ballston Spa Village ................ Batavia...................................... Bath Village..............................
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
98,769 10,364 3,017 5,927 2,706 7,560 3,318 8,574 17,091 36,162 513,124 10,563 7,154 2,371 7,128 7,529 3,991 25,360 1,099 33,395 7,936 640 15,449 1,243 1,545 2,636 44,396 19,160 9,000 29,378 2,046 87,958 13,797 19,088 12,022 9,723 721 2,651 1,797 6,721 74,542 45,581 2,080 2,450 9,903 8,570 1,185 14,364 5,253 57 6,869 1,637 2,559 3,015 93,916 5,697 1,083 4,995 1,795 1,701 111,622
234 45 1 3 24 3 16 6 13 110 5,080 13 35 3 59 92 7 143 6 257 13 0 28 7 10 9 367 272 79 382 0 437 104 58 45 48 1 17 14 37 253 386 1 80 84 53 1 53 49 0 32 0 1 2 1,128 34 0 4 6 0 137
1 0 0 0 0 0 0 0 0 1 47 0 0 0 2 0 0 2 0 2 0 0 0 0 0 0 8 7 0 4 0 6 2 1 0 1 0 0 1 0 1 6 0 0 3 1 0 0 1 0 1 0 0 0 3 0 0 0 0 0 2
14 2 0 0 2 0 1 0 0 33 307 4 10 0 1 5 0 10 2 37 1 0 1 0 0 1 62 20 8 22 0 40 9 6 5 7 0 0 2 1 18 20 0 0 5 2 0 5 3 0 2 0 0 0 45 1 0 0 1 0 8
99 15 1 0 13 1 0 1 1 4 1,439 3 3 0 13 1 1 15 1 34 0 0 6 1 0 0 38 35 8 39 0 96 12 4 10 1 0 0 1 4 18 49 0 1 9 2 0 7 3 0 0 0 0 0 376 7 0 0 0 0 47
120 28 0 3 9 2 15 5 12 72 3,287 6 22 3 43 86 6 116 3 184 12 0 21 6 10 8 259 210 63 317 0 295 81 47 30 39 1 17 10 32 216 311 1 79 67 48 1 41 42 0 29 0 1 2 704 26 0 4 5 0 80
2,879 508 71 56 134 113 61 52 113 1,082 29,293 526 230 34 583 164 58 1,188 22 2,265 81 0 620 16 34 68 1,705 1,260 304 1,802 9 4,278 601 210 555 464 1 106 108 114 1,728 2,500 132 108 544 246 4 176 401 13 287 12 23 29 4,249 397 12 47 36 9 1,808
439 68 16 4 37 36 13 13 20 154 5,622 228 64 6 190 61 8 217 15 514 24 0 251 8 11 31 582 185 138 348 1 860 193 39 85 238 0 37 48 38 457 651 41 42 154 86 4 52 109 5 84 0 7 3 965 75 3 9 7 0 200
2,180 392 50 49 74 73 42 37 92 883 18,632 267 145 28 327 99 38 916 6 1,634 53 0 310 7 22 33 983 955 132 1,356 7 3,158 358 168 358 210 0 64 53 66 1,043 1,715 77 54 361 152 0 99 270 8 190 12 16 26 2,998 309 9 38 29 9 1,558
260 48 5 3 23 4 6 2 1 45 5,039 31 21 0 66 4 12 55 1 117 4 0 59 1 1 4 140 120 34 98 1 260 50 3 112 16 1 5 7 10 228 134 14 12 29 8 0 25 22 0 13 0 0 0 286 13 0 0 0 0 50
7 1 8 7 3 0 0 0 0 0 2 16 21 0 2 3 6 1 0 0 0 0 0 0 1 15 0 0 0 0 0 5
2,158 9,412 17,678 4,943 635 2,464 27,662 2,955 1,349 7,105 5,511 15,368 5,532
0 14 80 3 0 7 103 1 1 9 7 23 19
0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 1 0 1 11 0 0 1 1 4 2
0 8 0 1 0 1 17 0 0 1 0 5 4
0 5 80 1 0 5 75 1 1 7 6 14 13
0 166 137 34 5 29 1,020 50 14 164 127 489 142
0 17 53 3 0 0 164 9 2 18 15 76 19
0 141 83 26 5 28 824 39 12 142 111 400 120
0 8 1 5 0 1 32 2 0 4 1 13 3
0 1 1 0 0 0 1 0 0 1 0 2 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. Because of changes in the state/local agency's reporting practices, figures are not comparable to previous years' data.
23 2 0 0 2 0 0 0 0 8 90 0 0 0 0 1 0 7 1 30 0 0 1 0 0 0 19 7
SECTION II: OFFENSES REPORTED 155 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Beacon ...................................... Bedford Town .......................... Bethlehem Town...................... Binghamton.............................. Blooming Grove Town............ Bolivar Village ......................... Bolton Town............................. Boonville Village ..................... Brant Town............................... Briarcliff Manor Village.......... Brighton Town ......................... Brockport Village .................... Bronxville Village.................... Buffalo ...................................... Cairo Town ............................... Caledonia Village .................... Cambridge Village................... Camden Village ....................... Camillus Town and Village ..... Canisteo Village....................... Cape Vincent Village............... Carmel Town............................ Carroll Town ............................ Carthage Village ...................... Catskill Village......................... Cattaraugus Village ................. Cayuga Heights Villag ............ Cazenovia Village.................... Central Square Village............ Chatham Village ...................... Cheektowaga Town ................. Chester Town ........................... Chester Village......................... Chittenango Village................. Cicero Town ............................. Clarkstown Town..................... Clay Town................................. Clifton Springs Village ............ Clyde Village............................ Cobleskill Village..................... Coeymans Town....................... Cohoes ...................................... Colchester Town ...................... Cold Spring Village ................. Colonie Town ........................... Copake Town ........................... Corning ..................................... Cornwall-on-Hudson Village .. Cornwall Town......................... Cortland.................................... Coxsackie Village .................... Crawford Town ........................ Cuba Town ............................... Dansville Village...................... Deerpark Town........................ Delhi Village ............................ Depew Village.......................... Deposit Village ........................ Dewitt Town............................. Dexter Village.......................... Dobbs Ferry Village ................ Dryden Village......................... Dunkirk .................................... East Aurora-Aurora Town...... Eastchester Town..................... East Fishkill Town ................... East Greenbush Town............. East Hampton Town ............... East Hampton Village............. East Rochester Village............ East Syracuse Village .............. Eden Town ............................... Ellenville Village ..................... Ellicott Town............................ 1 The
Population
14,928 18,668 33,057 44,931 12,396 1,126 2,180 2,074 1,849 8,034 34,335 8,138 6,477 273,832 6,689 2,191 1,843 2,288 23,350 2,256 768 34,972 3,473 3,717 4,337 1,006 3,670 2,717 1,660 1,726 79,164 9,929 3,616 4,936 28,347 78,909 54,134 2,174 2,133 4,647 7,991 14,944 2,054 2,008 77,550 3,331 10,428 3,094 9,763 18,382 2,835 9,540 3,364 4,574 8,433 2,745 15,473 1,605 21,606 1,119 11,206 1,821 12,190 13,611 18,768 29,535 17,159 19,143 1,345 6,231 3,029 7,789 3,914 5,294
Violent crime
62 5 32 214 11 1 2 1 0 1 28 17 3 3,490 4 1 1 11 13 8 0 29 3 6 8 0 0 1 1 8 226 0 7 2 8 85 27 1 3 13 35 68 2 1 86 1 47 0 6 78 2 17 12 8 8 9 27 4 34 0 10 4 45 12 4 156 13 26 1 9 21 0 7 12
Murder and nonnegligent manslaughter 1 1 0 3 0 0 0 0 0 0 0 0 0 54 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
Forcible rape
1 0 4 19 0 0 0 0 0 0 5 4 0 164 0 0 0 0 1 0 0 2 0 2 0 0 0 0 0 0 20 0 1 0 0 8 3 0 0 1 5 1 1 0 5 0 4 0 0 8 0 1 1 0 0 0 8 0 3 0 1 1 3 1 0 0 0 5 0 2 0 0 0 0
Robbery
20 2 10 67 1 0 0 0 0 0 11 6 1 1,533 0 0 0 0 4 0 0 5 0 0 3 0 0 0 0 1 84 0 4 0 3 29 7 0 0 1 3 4 0 0 21 0 9 0 0 6 0 2 0 1 1 0 8 0 12 0 3 1 9 3 2 2 4 2 0 1 3 0 4 1
Aggravated assault
40 2 18 125 10 1 2 1 0 1 12 7 2 1,739 4 1 1 11 8 8 0 21 3 4 5 0 0 1 1 7 122 0 2 2 5 48 17 1 3 11 27 63 1 1 59 1 34 0 6 64 2 14 11 7 7 9 11 4 18 0 6 2 33 8 2 153 9 19 1 6 18 0 3 11
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
247 149 538 2,100 116 26 16 13 9 51 969 180 72 16,137 45 72 59 86 208 68 3 294 8 112 247 3 51 28 20 86 2,304 31 132 103 451 1,625 395 35 67 184 80 171 1 28 2,369 17 433 19 129 383 21 261 38 191 139 6 421 4 547 1 138 101 365 190 210 350 405 471 142 142 113 69 124 240
Burglary
67 18 81 254 29 5 7 5 3 12 133 30 8 4,389 19 4 6 15 30 7 0 30 4 22 27 1 6 2 4 28 301 11 8 11 65 140 66 12 8 16 13 44 1 9 270 6 58 1 24 96 4 51 18 10 31 1 90 2 96 0 17 5 99 29 13 32 31 98 6 33 15 23 28 44
Larcenytheft
154 127 446 1,809 75 21 9 8 6 35 800 145 50 9,477 24 67 52 69 166 61 3 256 4 85 214 1 45 26 15 52 1,874 19 121 86 374 1,415 318 23 56 163 62 114 0 19 2,046 11 366 18 100 271 17 199 20 180 101 5 319 2 424 1 118 95 258 154 184 295 363 347 134 97 94 41 91 188
Motor vehicle theft
26 4 11 37 12 0 0 0 0 4 36 5 14 2,271 2 1 1 2 12 0 0 8 0 5 6 1 0 0 1 6 129 1 3 6 12 70 11 0 3 5 5 13 0 0 53 0 9 0 5 16 0 11 0 1 7 0 12 0 27 0 3 1 8 7 13 23 11 26 2 12 4 5 5 8
Arson1
5 0 3 8 0 0 0 0 1 0 0 1 0 109 0 0 0 0 2 0 0 4 0 2 0 0 0 0 0 0 5 0 0 1 0 3 4 0 0 2 0 0 0 0 12 0 6 0 0 2 0 0 0 0 0 0 4 0 1 0 4 0 0 0 0 18 1 0 0 0 0 0 0
156
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Ellicottville ............................... Elmira ....................................... Elmira Heights Village............ Elmira Town............................. Elmsford Village...................... Endicott Village ....................... Evans Town .............................. Fairport Village ........................ Fallsburg Town......................... Fishkill Town ............................ Fishkill Village ......................... Floral Park Village .................. Florida Village ......................... Fort Edward Village ................ Frankfort Town ........................ Franklinville Village ................ Fredonia Village ...................... Freeport Village ....................... Freeville Village ....................... Friendship Town ...................... Fulton City ............................... Garden City Village ................ Gates Town............................... Geddes Town ........................... Geneseo Village....................... Geneva...................................... Germantown Town.................. Glen Cove ................................ Glen Park Village .................... Glens Falls ................................ Glenville Town......................... Gloversville .............................. Goshen Town ........................... Goshen Village......................... Gouverneur Village................. Gowanda Village ..................... Granville Village...................... Great Neck Estates Village .... Greece Town ............................ Greenburgh Town ................... Greene Village ......................... Green Island Village ............... Greenport Town ...................... Greenwich Village ................... Greenwood Lake Village........ Groton Village ......................... Guilderland Town.................... Hamburg Town ........................ Hamburg Village ..................... Hamilton Village ..................... Hancock Village....................... Harriman Village ..................... Harrison Town ......................... Hastings-on-Hudson Village .. Haverstraw Town..................... Hempstead Village .................. Herkimer Village ..................... Highland Falls Village ............. Highlands Town ....................... Hoosick Falls Village............... Hornell...................................... Horseheads Village ................. Hudson Falls Village ............... Hunter Town ............................ Huntington Bay Village .......... Hyde Park Town ...................... Ilion Village.............................. Independence Town ................ Irondequoit Town.................... Irvington Village...................... Ithaca ........................................ Jamestown ................................ Johnson City Village................ Johnstown................................. 1 The
Population
1,880 29,375 3,931 5,907 4,772 12,499 17,000 5,467 12,082 19,088 1,731 15,550 2,793 3,074 4,933 1,741 11,192 43,050 505 1,865 11,404 21,804 28,396 10,616 7,841 13,336 2,015 26,406 491 14,043 21,347 15,146 8,608 5,527 4,088 2,664 2,585 2,711 93,123 43,734 1,683 2,591 4,060 1,858 3,460 2,403 33,006 44,187 9,413 3,787 1,111 2,274 26,654 7,858 24,515 52,430 7,117 3,742 9,106 3,289 8,662 6,256 6,752 2,756 1,472 20,675 8,187 1,052 50,106 6,658 29,970 29,646 14,807 8,489
Violent crime
0 134 4 1 8 54 17 4 23 12 8 11 2 8 4 1 20 219 2 1 22 12 56 5 8 27 0 14 0 18 7 60 3 11 10 11 6 0 122 44 0 1 2 1 11 1 18 28 8 2 11 0 27 26 76 335 74 4 1 2 13 14 8 1 0 9 28 0 75 1 58 167 54 9
Murder and nonnegligent manslaughter 0 3 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 7 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0
Forcible rape
0 5 0 0 1 8 1 0 1 0 0 1 0 0 0 0 0 7 0 0 4 0 7 0 6 1 0 0 0 2 1 4 1 1 3 0 3 0 8 3 0 0 0 0 0 0 1 4 2 0 0 0 1 2 2 12 5 0 0 1 2 2 1 0 0 1 0 0 3 0 8 20 7 2
Robbery
0 28 3 0 3 14 0 0 2 4 1 8 0 0 0 1 2 105 0 0 6 12 22 3 1 6 0 7 0 5 0 4 0 1 0 1 0 0 40 17 0 0 1 0 0 1 7 9 3 1 0 0 2 2 27 141 2 0 0 1 1 4 1 0 0 5 1 0 35 0 22 30 10 2
Aggravated assault
0 98 1 1 4 31 16 4 20 8 7 2 2 8 3 0 18 105 2 1 12 0 27 2 1 19 0 7 0 10 6 52 2 8 7 10 3 0 74 23 0 1 1 1 11 0 10 15 3 1 11 0 24 22 46 175 67 4 0 0 10 8 6 1 0 3 27 0 35 1 28 116 37 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
64 1,266 90 11 66 570 281 56 222 261 43 72 32 26 25 20 223 1,056 9 7 494 285 1,066 210 111 365 2 202 2 471 282 675 92 77 154 122 29 12 2,147 718 0 57 93 47 46 68 765 402 195 40 10 33 297 135 446 909 409 69 12 57 139 214 44 7 2 182 105 0 1,573 30 965 1,151 680 290
Burglary
8 269 14 4 10 97 64 7 67 20 5 17 5 7 11 3 22 147 6 4 75 39 113 24 14 83 1 33 0 51 34 139 16 6 30 32 3 1 279 71 0 11 3 6 6 10 49 60 17 7 3 8 40 8 91 194 51 17 0 21 18 21 6 6 0 33 26 0 242 4 147 300 86 36
Larcenytheft
54 956 74 7 50 456 200 45 141 228 38 50 27 18 14 17 191 778 2 3 413 237 911 182 96 273 1 160 2 413 234 509 73 69 121 90 26 11 1,790 617 0 41 89 41 37 55 701 336 172 32 5 23 244 124 331 497 357 50 12 31 121 191 38 1 2 142 79 0 1,223 26 805 814 584 247
Motor vehicle theft
2 41 2 0 6 17 17 4 14 13 0 5 0 1 0 0 10 131 1 0 6 9 42 4 1 9 0 9 0 7 14 27 3 2 3 0 0 0 78 30 0 5 1 0 3 3 15 6 6 1 2 2 13 3 24 218 1 2 0 5 0 2 0 0 0 7 0 0 108 0 13 37 10 7
Arson1
1 2 0 0 1 3 1 2 2 0 1 0 0 1 0 0 3 0 4 1 2 0 1 1 0 1 0 1 0 3 0 5 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 3 6 0 0 0 3 0 0 0 0 0 0 1 0 6 0 1 6 3 0
SECTION II: OFFENSES REPORTED 157 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Jordan Village .......................... Kenmore Village...................... Kensington Village .................. Kent Town ................................ Kingston ................................... Kirkland Town ......................... Lackawanna ............................. Lake Placid Village.................. Lake Success Village ............... Lakewood-Busti ...................... Lancaster Town........................ Larchmont Village................... Le Roy Village ......................... Lewisboro Town ...................... Lewiston Town and Village .... Liberty Village ......................... Little Falls................................. Liverpool Village ..................... Lloyd Harbor Village .............. Lloyd Town............................... Lockport ................................... Long Beach .............................. Lowville Village ....................... Lynbrook Village ..................... Lyons Village............................ Macedon Town and Village .... Malone Village......................... Malverne Village ..................... Mamaroneck Town.................. Mamaroneck Village ............... Manchester Village.................. Manlius Town........................... Marlborough Town.................. Massena Village ....................... Maybrook Village.................... McGraw Village....................... Mechanicville ........................... Medina Village......................... Menands Village ...................... Middleport Village .................. Middletown .............................. Millbrook Village..................... Mohawk Village....................... Monroe Village ........................ Montgomery Town .................. Monticello Village ................... Moravia Village ....................... Moriah Town............................ Mount Hope Town .................. Mount Kisco Village................ Mount Morris Village.............. Mount Pleasant Town ............. Mount Vernon.......................... Nassau Village.......................... Newark Village ........................ New Berlin Town..................... Newburgh ................................. Newburgh Town....................... New Castle Town..................... New Hartford Town and Village....................................... New Paltz Town and Village... New Rochelle........................... New Windsor Town ................. New York.................................. New York Mills Village........... Niagara Falls ............................ Niagara Town ........................... Niskayuna Town ...................... Nissequogue Village................ North Castle Town .................. North Greenbush Town .......... Northport Village .................... North Syracuse Village ........... North Tonawanda.................... 1 The
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
1,338 15,172 1,181 14,443 22,741 8,423 17,775 2,840 2,833 7,455 23,342 6,535 4,226 12,606 16,766 3,973 4,952 2,381 3,654 10,771 20,872 35,057 3,216 19,392 3,475 8,963 5,879 8,725 11,470 18,468 1,434 25,127 8,351 10,747 4,185 963 4,912 6,160 3,782 1,803 26,097 1,559 2,523 8,187 8,921 6,654 1,313 3,547 7,581 10,505 2,944 26,693 68,380 1,115 9,234 1,717 28,340 30,995 17,819
0 22 0 1 67 3 119 0 1 3 16 2 3 0 17 30 36 1 1 8 70 30 4 19 21 4 13 5 1 19 0 18 23 12 0 0 36 13 9 0 194 2 1 30 16 59 1 2 2 5 5 9 600 3 31 0 436 47 0
0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 7 0 1 0 2 1 0
0 1 0 0 5 0 6 0 0 0 2 0 0 0 2 1 0 0 0 0 7 0 2 0 3 1 4 0 0 0 0 1 0 4 0 0 0 2 1 0 13 0 0 3 6 1 0 0 0 0 3 3 10 0 3 0 14 2 0
0 7 0 0 38 0 30 0 0 1 4 1 0 0 1 8 2 0 0 2 35 13 0 9 5 0 0 3 0 9 0 1 1 0 0 0 3 1 4 0 95 0 0 9 1 32 0 0 0 3 0 2 266 1 1 0 131 28 0
0 14 0 1 23 3 83 0 1 2 10 1 3 0 14 21 34 1 1 6 28 17 2 10 13 3 9 2 1 10 0 16 22 8 0 0 33 10 3 0 85 2 1 18 9 26 1 2 2 2 2 4 317 2 26 0 289 16 0
11 273 0 140 699 101 459 51 101 221 489 101 144 96 174 204 159 47 22 110 744 211 100 166 148 43 182 26 113 245 0 440 122 206 32 2 57 222 176 39 942 6 19 252 150 301 17 4 43 130 68 239 1,844 4 336 14 1,176 1,172 129
4 39 0 25 122 12 129 11 25 23 77 12 11 12 26 28 39 12 2 15 157 29 13 15 17 5 29 11 19 39 0 56 28 26 2 1 11 40 35 0 216 1 7 20 27 86 2 1 10 14 16 40 461 3 38 0 316 117 21
7 222 0 110 551 83 300 38 71 194 398 86 128 83 134 172 110 34 20 88 561 181 84 142 127 36 153 14 90 193 0 372 85 178 30 1 41 179 129 39 690 5 11 227 108 201 15 3 28 115 50 188 1,200 1 289 12 791 1,006 107
0 12 0 5 26 6 30 2 5 4 14 3 5 1 14 4 10 1 0 7 26 1 3 9 4 2 0 1 4 13 0 12 9 2 0 0 5 3 12 0 36 0 1 5 15 14 0 0 5 1 2 11 183 0 9 2 69 49 1
0
19,586 14,121 73,603 25,320 8,220,196 3,128 51,897 8,515 21,863 1,458 12,317 11,837 7,480 6,668 31,575
23 75 219 22 50,453 5 501 13 11 0 10 20 4 7 53
0 0 1 0 496 0 3 0 0 0 0 0 0 1 0
2 7 3 1 875 0 38 0 0 0 0 1 0 0 5
9 4 119 8 21,787 2 134 3 4 0 2 1 4 0 11
12 64 96 13 27,295 3 326 10 7 0 8 18 0 6 37
820 247 1,454 456 149,488 50 2,676 279 369 4 86 233 69 51 614
58 29 234 56 20,914 5 668 43 37 0 15 31 6 12 137
753 208 1,142 384 115,318 42 1,796 218 321 4 70 197 61 38 441
9 10 78 16 13,256 3 212 18 11 0 1 5 2 1 36
0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
0 0 0 0 0 1 0 1 0 0 0 0 1 0 1 0 0 8 0 0 0 0 0 0 0 2 0 0 1 0 2 0 1 0 0 0 8 0 0 0 1 2 0 0 0 0 1 9 0 0 1 6 1
1 3 1 36 1 1 0 0 1 0 0 1
158
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Northville Village .................... Norwich .................................... Ogdensburg.............................. Ogden Town ............................. Old Brookville Village ............ Old Westbury Village .............. Olean......................................... Olive Town ............................... Oneida ...................................... Oneonta City............................ Orangetown Town ................... Orchard Park Town................. Oriskany Village ...................... Ossining Town.......................... Ossining Village ....................... Oswego City............................. Owego Village.......................... Oxford Village ......................... Oyster Bay Cove Village ........ Painted Post Village ................ Palmyra Village........................ Peekskill ................................... Pelham Manor Village ............ Pelham Village ......................... Penn Yan Village ..................... Perry Village............................. Phelps Village........................... Phoenix Village........................ Piermont Village...................... Pine Plains Town...................... Plattekill Town ......................... Plattsburgh City....................... Pleasantville Village ................ Port Byron Village................... Port Chester Village ................ Port Dickinson Village ............ Port Jervis ................................. Portville Village ....................... Port Washington ...................... Potsdam Village ....................... Poughkeepsie ........................... Poughkeepsie Town................. Pound Ridge Town .................. Pulaski Village ......................... Quogue Village ........................ Ramapo Town.......................... Rensselaer City........................ Rhinebeck Village ................... Riverhead Town....................... Rochester ................................. Rockville Centre Village ........ Rome......................................... Rosendale Town ...................... Rotterdam Town...................... Rouses Point Village ............... Rye ............................................ Rye Brook Village................... Sag Harbor Village .................. Salamanca................................. Sands Point Village.................. Saranac Lake Village .............. Saratoga Springs ...................... Saugerties Town....................... Saugerties Village .................... Scarsdale Village...................... Schenectady ............................. Schodack Town ........................ Scotia Village ........................... Seneca Falls Village ................. Shawangunk Town................... Shelter Island Town................. Sherburne Village.................... Sherrill ...................................... Shortsville Village.................... 1 The
Population
1,162 7,183 11,213 19,186 2,254 5,340 14,485 4,720 10,928 13,239 36,171 28,208 1,424 5,755 23,514 17,573 3,760 1,566 2,248 1,784 3,475 24,910 5,420 6,403 5,217 3,743 1,931 2,177 2,603 2,750 10,993 19,365 7,167 1,257 28,019 1,605 9,203 973 18,532 9,869 30,074 44,016 5,011 2,323 1,125 76,371 7,822 3,107 35,087 206,686 23,952 34,123 6,312 29,547 2,420 15,127 9,820 2,363 5,718 2,839 4,895 28,807 15,816 3,912 17,890 61,535 11,374 8,107 6,791 12,813 2,471 1,443 3,152 1,342
Violent crime
1 9 10 23 1 0 20 1 16 36 38 20 1 6 52 46 7 0 1 1 2 74 7 8 1 7 0 1 1 0 3 27 0 2 88 0 31 0 6 13 387 53 1 8 2 64 29 0 90 2,350 8 40 1 30 1 6 2 2 26 0 8 41 9 13 3 606 4 9 10 15 0 0 0 0
Murder and nonnegligent manslaughter 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 1 0 0 0 0 0 0 1 50 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 5 1 0 0 0 0 0 0 0
Forcible rape
0 7 0 0 0 0 1 0 4 5 0 2 0 0 2 2 1 0 0 0 0 1 1 0 1 0 0 1 0 0 0 5 0 0 3 0 4 0 1 3 15 0 0 0 0 1 5 0 3 121 0 7 0 0 0 0 1 0 1 0 2 1 2 0 0 34 0 0 1 1 0 0 0 0
Robbery
0 0 3 3 1 0 15 0 1 6 13 3 0 0 22 5 1 0 0 0 0 33 5 8 0 0 0 0 0 0 2 4 0 0 46 0 10 0 1 0 163 32 0 3 0 13 9 0 31 1,032 5 8 0 14 0 1 0 0 3 0 0 4 0 2 1 265 1 1 0 2 0 0 0 0
Aggravated assault
1 1 7 20 0 0 4 1 11 25 25 15 1 6 27 39 5 0 1 1 2 40 1 0 0 7 0 0 1 0 1 18 0 2 39 0 17 0 4 9 204 20 1 5 2 50 15 0 55 1,147 2 24 1 16 1 5 1 2 22 0 6 36 6 11 2 302 2 8 9 12 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
24 273 588 204 106 30 678 14 431 347 470 437 14 46 340 482 19 32 6 52 43 216 119 128 109 143 10 25 26 16 42 646 0 1 686 15 217 40 116 201 1,063 1,522 45 61 31 624 265 67 864 11,277 227 531 57 812 19 218 116 55 298 10 124 685 217 103 158 2,947 127 131 28 148 44 49 17 0
Burglary
2 31 80 37 16 7 87 2 85 87 43 85 2 5 100 74 7 1 2 0 3 36 16 25 12 22 2 6 4 0 19 113 0 0 114 0 42 2 18 16 253 101 1 12 12 98 60 6 173 2,582 19 119 12 119 4 27 15 7 65 1 38 149 63 5 13 806 24 17 5 46 14 0 5 0
Larcenytheft
22 238 500 161 86 19 580 11 339 253 411 340 12 41 227 399 12 31 4 52 40 166 94 93 96 114 8 19 20 16 18 521 0 1 530 15 169 38 90 177 704 1,399 44 48 18 503 189 60 658 7,044 187 383 43 664 15 176 97 45 225 9 83 513 151 94 136 1,851 97 110 23 97 30 49 12 0
Motor vehicle theft
0 4 8 6 4 4 11 1 7 7 16 12 0 0 13 9 0 0 0 0 0 14 9 10 1 7 0 0 2 0 5 12 0 0 42 0 6 0 8 8 106 22 0 1 1 23 16 1 33 1,651 21 29 2 29 0 15 4 3 8 0 3 23 3 4 9 290 6 4 0 5 0 0 0 0
Arson1
0 0 3 0 0 1 3 0 0 4 0 5 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 3 0 5 3 0 0 0 1 0 0 1 204 2 0 13 0 0 0 0 1 0 0 1 5 0 0 48 0 0 0 0 0 0 0 0
SECTION II: OFFENSES REPORTED 159 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
NORTH CAROLINA
1 The
City
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Sidney Village .......................... Silver Creek Village ................ Skaneateles Village ................. Sleepy Hollow Village............. Sodus Village............................ Solvay Village........................... Southampton Town ................. Southampton Village............... South Glens Falls Village........ South Nyack Village................ Southold Town ......................... Spring Valley Village ............... Stillwater Town ........................ Stockport Town........................ Stony Point Town..................... Suffern Village ......................... Syracuse.................................... Tarrytown Village .................... Ticonderoga Town ................... Tonawanda ............................... Tonawanda Town..................... Troy ........................................... Trumansburg Village ............... Tuckahoe Village ..................... Tupper Lake Village................ Tuxedo Park Village ................ Tuxedo Town............................ Ulster Town.............................. Utica.......................................... Vernon Village ......................... Vestal Town .............................. Walden Village......................... Wallkill Town ........................... Walton Village ......................... Wappingers Falls Village......... Warsaw Village ........................ Warwick Town.......................... Washingtonville Village .......... Waterford Town and Village .. Waterloo Village ...................... Watertown ................................ Watervliet ................................. Watkins Glen Village .............. Waverly Village........................ Wayland Village....................... Webster Town and Village...... Weedsport Village ................... Wellsville Village ..................... Westfield Village...................... Westhampton Beach Village .. West Seneca Town ................... Whitehall Village ..................... White Plains ............................. Whitesboro Village.................. Whitestown Town .................... Windham Town........................ Woodbury Town ...................... Woodridge Village................... Woodstock Town ..................... Yonkers..................................... Yorkville Village ......................
3,809 2,842 2,585 10,262 1,639 6,514 50,284 4,091 3,435 3,358 19,872 25,397 6,501 2,882 15,073 10,944 139,880 11,525 5,076 14,971 57,312 47,776 1,587 6,311 3,842 726 3,033 12,877 58,888 1,168 27,403 6,929 27,554 2,880 5,181 3,717 20,075 6,239 8,660 5,098 26,726 9,749 2,092 4,442 1,819 41,471 1,950 4,877 3,405 1,956 43,955 2,609 57,638 3,823 9,348 1,914 10,458 1,085 6,214 198,071 2,593
9 10 2 0 1 8 86 9 6 7 16 204 1 0 9 6 1,435 4 11 22 119 345 1 3 13 0 0 9 431 1 8 16 36 7 10 7 2 3 0 6 123 37 6 4 0 20 0 21 2 3 77 4 114 15 2 0 4 3 4 878 6
0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 19 0 0 0 0 2 0 0 0 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 10 0
2 0 1 0 0 0 12 1 2 0 0 12 1 0 0 1 67 0 2 4 8 21 0 0 0 0 0 1 21 0 0 0 5 0 1 4 1 1 0 0 13 6 0 0 0 4 0 0 0 0 8 0 4 0 1 0 1 0 0 44 0
0 0 0 0 0 1 24 0 1 0 1 71 0 0 4 4 446 3 0 3 33 131 0 2 0 0 0 3 142 0 0 1 18 0 5 0 0 0 0 0 27 10 1 0 0 6 0 2 0 0 19 0 27 1 0 0 3 0 0 424 3
7 10 1 0 1 7 49 8 3 7 15 121 0 0 5 1 903 1 9 15 78 191 1 1 13 0 0 5 263 1 8 15 13 7 4 3 0 2 0 6 81 21 5 4 0 10 0 19 2 3 49 4 83 14 1 0 0 3 4 400 3
190 35 22 0 40 140 969 161 120 47 383 450 25 10 98 67 5,964 114 61 431 1,181 2,203 52 53 136 0 10 239 2,880 24 584 139 662 79 135 92 128 52 48 227 1,167 263 54 158 6 602 22 133 46 62 895 34 1,108 63 48 54 182 4 65 3,012 158
33 17 4 0 3 31 210 24 18 10 77 88 4 0 16 13 1,785 13 10 51 218 581 1 7 33 0 0 28 752 7 25 12 84 21 16 9 26 4 11 18 179 64 3 17 0 104 0 22 16 10 166 4 45 14 9 17 15 1 19 642 35
156 17 18 0 36 100 700 131 98 37 301 325 21 10 81 52 3,618 92 45 367 887 1,449 50 40 93 0 8 200 1,966 17 547 123 545 54 115 82 100 46 35 206 918 181 50 136 6 484 22 103 29 51 691 28 1,025 46 36 34 164 3 45 1,994 118
1 1 0 0 1 9 59 6 4 0 5 37 0 0 1 2 561 9 6 13 76 173 1 6 10 0 2 11 162 0 12 4 33 4 4 1 2 2 2 3 70 18 1 5 0 14 0 8 1 1 38 2 38 3 3 3 3 0 1 376 5
0 2 0 0 0 0 5 0 0 0 0 2 0 0 0 0 48 1 3 2 3 6 0 1 2 0 0 2 12 0 1 1 4 0 0 0
Aberdeen.................................. Ahoskie .................................... Albemarle ................................ Angier ....................................... Archdale ................................... Asheboro.................................. Asheville................................... Atlantic Beach ......................... Bailey ........................................ Banner Elk ............................... Beaufort.................................... Belhaven................................... Belmont ....................................
5,337 4,278 15,355 4,288 9,474 24,399 72,907 1,839 679 895 4,326 1,997 9,005
23 29 143 48 32 57 505 27 4 5 12 9 64
0 0 1 0 0 0 10 0 0 0 0 0 0
1 1 13 2 1 6 27 2 0 2 0 0 4
7 4 34 8 10 22 229 2 2 0 0 0 17
15 24 95 38 21 29 239 23 2 3 12 9 43
298 303 1,213 190 368 1,670 4,249 210 50 28 216 64 523
50 80 309 78 78 349 1,014 39 14 4 74 25 95
224 215 837 94 267 1,215 2,818 169 35 21 131 37 395
24 8 67 18 23 106 417 2 1 3 11 2 33
3 2 15 3 2 1 51 1 0 0 0 3 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
0 0 2 14 3 0 1 0 6 0 1 0 1 1 0 1 0 0 0 0 0 0 35 0
160
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Benson ...................................... Bethel........................................ Beulaville.................................. Biltmore Forest........................ Biscoe........................................ Black Mountain ....................... Boiling Spring Lakes............... Boiling Springs......................... Boone........................................ Brevard ..................................... Bryson City .............................. Burlington ................................ Butner ....................................... Canton ...................................... Cape Carteret .......................... Carolina Beach ........................ Carthage ................................... Cary........................................... Chadbourn ............................... Charlotte-Mecklenburg .......... Cherryville................................ China Grove............................. Chocowinity ............................. Claremont................................. Clayton ..................................... Cleveland.................................. Clinton ...................................... Coats ......................................... Columbus ................................. Concord .................................... Conover .................................... Creedmoor ............................... Dobson ..................................... Drexel ....................................... Dunn ......................................... Eden.......................................... Edenton .................................... Elkin.......................................... Elon........................................... Emerald Isle............................. Enfield ...................................... Erwin......................................... Fairmont ................................... Farmville................................... Fayetteville ............................... Forest City ................................ Four Oaks................................. Franklin .................................... Franklinton............................... Garland..................................... Garner....................................... Garysburg................................. Gastonia ................................... Gibsonville ............................... Goldsboro ................................ Graham..................................... Greensboro .............................. Greenville................................. Hamlet ...................................... Henderson................................ Hendersonville ........................ Hertford.................................... Hickory ..................................... Highlands ................................. High Point ................................ Hillsborough ............................ Holden Beach .......................... Hope Mills................................ Hudson ..................................... Huntersville.............................. Indian Beach ............................ Jacksonville .............................. Jefferson ................................... Jonesville .................................. 1 The
Population
3,422 1,680 1,117 1,527 1,732 7,686 4,637 3,856 13,283 6,634 1,382 48,689 6,520 3,925 1,460 5,675 2,036 114,221 2,071 733,291 5,533 3,723 730 1,127 14,843 829 8,818 2,086 993 63,284 7,183 3,472 1,506 1,900 10,072 15,608 4,988 4,314 7,173 3,752 2,345 4,843 2,737 4,553 167,157 7,277 1,881 3,633 1,948 841 24,547 1,171 70,127 4,627 38,053 14,275 238,122 73,319 5,715 16,165 11,863 2,135 41,008 948 99,297 5,380 863 12,778 3,075 41,018 96 70,368 1,368 2,296
Violent crime
37 9 6 0 18 7 7 6 21 33 16 404 63 22 5 21 12 134 26 7,233 22 18 0 9 54 3 77 4 2 256 26 15 4 0 123 64 32 12 9 10 42 21 86 31 1,320 67 5 8 4 3 99 11 701 9 312 81 2,312 663 40 183 117 8 368 1 832 32 1 65 3 93 0 278 2 9
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 1 0 3 0 1 0 0 0 1 2 76 0 1 0 0 1 0 0 0 0 7 0 0 0 0 0 1 0 0 0 0 0 0 0 0 21 1 0 0 0 0 0 0 5 1 10 1 40 8 3 7 2 0 5 0 13 1 0 0 0 1 0 7 0 0
Forcible rape
0 0 0 0 0 0 3 1 2 4 0 16 0 0 0 3 0 11 1 282 3 1 0 1 3 0 4 0 1 21 4 4 0 0 5 3 3 1 2 4 3 0 1 1 56 3 1 1 1 0 5 0 23 1 6 5 94 20 2 3 4 0 21 0 39 1 0 1 1 3 0 30 0 2
Robbery
17 1 0 0 6 2 0 2 4 3 1 103 11 4 0 11 2 58 1 3,191 1 3 0 1 18 1 17 1 0 100 8 1 1 0 32 20 10 0 0 2 20 3 21 2 500 18 0 1 1 0 47 1 234 6 100 19 942 275 10 77 29 1 116 0 335 13 0 21 0 31 0 65 0 2
Aggravated assault
20 8 6 0 12 5 4 3 15 25 15 282 52 17 5 7 10 64 22 3,684 18 13 0 7 32 2 56 3 1 128 14 10 3 0 86 40 19 11 7 4 19 18 64 28 743 45 4 6 2 3 47 10 439 1 196 56 1,236 360 25 96 82 7 226 1 445 17 1 43 2 58 0 176 2 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
254 55 58 22 171 152 69 45 458 285 102 2,967 268 240 50 329 109 2,120 188 51,279 186 145 34 98 404 53 587 64 56 3,029 579 109 78 41 853 894 194 235 131 231 110 150 321 256 12,614 612 31 177 92 17 1,246 64 5,552 100 2,843 624 14,778 4,928 362 1,726 964 82 3,398 80 5,746 475 91 850 119 1,306 10 2,297 15 172
Burglary
60 6 16 5 23 48 21 5 69 65 0 763 70 84 3 86 24 448 49 12,948 64 31 3 30 123 16 147 17 6 473 93 33 8 9 182 240 51 38 40 115 66 46 101 95 3,569 170 11 56 20 0 204 31 1,259 23 755 142 4,704 1,424 145 521 148 17 783 37 1,870 138 41 198 27 259 4 550 5 52
Larcenytheft
175 46 38 17 144 93 43 38 375 211 100 2,054 182 149 44 217 84 1,584 137 32,313 119 107 30 63 265 33 415 42 47 2,326 435 72 68 28 600 606 137 190 90 111 41 96 197 155 8,223 414 13 115 70 17 970 32 3,842 74 1,921 439 8,943 3,237 202 1,129 758 62 2,338 43 3,456 317 50 612 87 983 4 1,614 9 111
Motor vehicle theft
19 3 4 0 4 11 5 2 14 9 2 150 16 7 3 26 1 88 2 6,018 3 7 1 5 16 4 25 5 3 230 51 4 2 4 71 48 6 7 1 5 3 8 23 6 822 28 7 6 2 0 72 1 451 3 167 43 1,131 267 15 76 58 3 277 0 420 20 0 40 5 64 2 133 1 9
Arson1
1 1 0 1 1 1 5 0 0 1 1 8 2 4 0 3 0 13 1 388 3 0 0 0 2 0 1 1 0 20 0 2 0 0 5 6 2 0 0 0 1 0 2 3 49 3 0 2 2 0 0 0 55 0 3 3 135 21 7 13 0 0 26 0 42 0 0 6 0 11 0 10 0 0
SECTION II: OFFENSES REPORTED 161 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Kannapolis ............................... Kenansville............................... Kenly......................................... Kernersville.............................. Kill Devil Hills ......................... King........................................... Kings Mountain ....................... Kinston ..................................... Kitty Hawk............................... La Grange ................................ Lake Lure................................. Landis ....................................... Laurel Park .............................. Laurinburg ............................... Leland ....................................... Lenoir ....................................... Lexington ................................. Liberty ...................................... Lillington .................................. Locust ....................................... Long View ................................ Louisburg ................................. Lumberton ............................... Madison .................................... Maggie Valley........................... Maiden...................................... Manteo...................................... Marion ...................................... Mars Hill................................... Matthews .................................. Mayodan................................... Maysville................................... Mebane ..................................... Mint Hill ................................... Mocksville ................................ Monroe ..................................... Mooresville .............................. Morehead City......................... Morganton................................ Morrisville ................................ Mount Airy............................... Mount Gilead........................... Mount Holly3 ........................... Murfreesboro ........................... Murphy ..................................... Nags Head ................................ Nashville ................................... New Bern.................................. Newland.................................... Newport.................................... Newton ..................................... North Topsail Beach................ North Wilkesboro.................... Norwood................................... Oak Island ................................ Oxford....................................... Pembroke ................................. Pinebluff ................................... Pinehurst .................................. Pine Knoll Shores.................... Pineville .................................... Pittsboro ................................... Plymouth .................................. Raeford..................................... Raleigh...................................... Ramseur ................................... Randleman ............................... Red Springs .............................. Reidsville.................................. Richlands.................................. Roanoke Rapids ...................... Robersonville........................... Rockingham ............................. Rockwell................................... 1 The 3 The
Population
40,554 902 1,894 22,325 6,718 6,639 11,003 22,568 3,391 2,782 1,022 3,074 2,123 15,743 4,693 17,988 20,452 2,743 3,214 2,562 4,904 3,813 21,983 2,283 810 3,366 1,336 5,070 1,821 26,693 2,624 978 9,555 18,810 4,568 31,345 21,143 9,501 17,183 14,336 8,448 1,406 9,811 2,276 1,573 3,114 4,509 28,254 663 4,070 13,211 874 4,195 2,150 8,355 8,567 2,677 1,352 12,132 1,584 3,826 2,537 3,930 3,646 367,120 1,728 3,700 3,518 14,906 835 16,407 1,601 9,093 1,989
Violent crime
176 0 11 87 23 24 54 290 3 33 0 0 2 98 20 51 171 6 4 2 32 18 365 39 2 12 6 38 11 77 13 2 55 62 18 253 75 56 77 8 59 8 47 12 17 12 26 156 4 8 46 1 21 13 36 126 24 0 2 3 83 4 96 31 2,098 1 17 40 89 2 90 16 105 3
Murder and nonnegligent manslaughter 1 0 0 0 1 0 0 1 0 0 0 0 0 3 0 1 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 2 2 1 0 0 2 0 0 0 0 0 1 0 0 1 0 0 0 0 2 0 2 0 0 0 0 0 0 0 1 0 23 0 1 1 1 0 2 0 2 0
Forcible rape
13 0 1 6 4 3 4 12 0 1 0 0 1 2 0 1 9 0 0 0 7 2 6 0 0 0 0 0 1 5 1 0 1 4 1 10 9 7 8 0 6 0 5 0 3 1 0 10 3 0 5 0 0 3 3 3 1 0 0 0 0 1 0 0 99 0 2 5 4 0 6 1 5 0
Robbery
57 0 3 23 2 1 19 63 2 1 0 0 1 36 5 15 44 4 1 1 9 8 135 3 0 4 0 9 2 42 3 1 13 22 3 73 26 12 17 2 7 2 10 5 1 1 5 54 1 5 21 0 7 1 9 29 10 0 2 0 35 3 10 9 835 0 5 13 39 1 30 7 17 2
Aggravated assault
105 0 7 58 16 20 31 214 1 31 0 0 0 57 15 34 118 2 3 1 16 8 217 36 2 8 6 29 8 30 9 1 41 34 12 169 40 37 50 6 46 6 32 7 12 10 21 91 0 3 20 1 12 9 22 94 13 0 0 3 48 0 85 22 1,141 1 9 21 45 1 52 8 81 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency's data were overreported. Consequently, affected data are not included in this table.
Property crime
1,107 33 114 1,125 454 261 571 1,408 130 150 46 97 18 890 313 768 1,082 54 77 61 367 167 2,828 142 120 181 72 421 37 1,133 126 16 336 407 297 2,350 1,203 593 713 301 764 69 90 104 261 132 1,866 25 89 828 56 261 83 403 569 212 28 111 40 1,143 84 182 235 12,762 117 349 313 1,087 43 861 95 1,091 59
Burglary
366 1 29 250 118 50 167 359 31 46 7 5 3 338 135 217 409 12 16 24 156 27 780 51 5 31 11 136 15 188 20 4 67 222 51 595 255 114 179 58 162 34 141 18 22 62 49 433 3 25 210 35 77 24 182 211 90 10 1 10 101 24 40 98 2,949 22 63 171 325 6 212 27 209 9
Larcenytheft
604 31 74 823 319 198 392 995 90 94 38 89 15 503 165 517 617 40 56 37 174 131 1,844 90 110 138 59 263 21 879 106 8 251 150 236 1,579 878 454 497 235 550 29 70 72 196 76 1,391 19 62 553 21 172 54 208 337 103 18 108 30 967 58 142 132 8,773 90 280 114 717 36 578 64 861 50
Motor vehicle theft
137 1 11 52 17 13 12 54 9 10 1 3 0 49 13 34 56 2 5 0 37 9 204 1 5 12 2 22 1 66 0 4 18 35 10 176 70 25 37 8 52 6 37 2 10 3 7 42 3 2 65 0 12 5 13 21 19 0 2 0 75 2 0 5 1,040 5 6 28 45 1 71 4 21 0
Arson1
10 1 1 1 1 1 2 15 0 3 0 1 0 16 1 2 6 0 0 1 2 1 8 2 0 1 0 4 0 21 0 0 2 5 0 12 13 3 1 0 2 1 3 1 0 1 0 4 0 1 1 0 0 1 3 7 3 0 0 0 3 0 0 2 72 3 1 2 14 1 2 0 7 0
162
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
NORTH DAKOTA
1 The
City
Rocky Mount ........................... Rolesville.................................. Rose Hill................................... Rowland ................................... Roxboro.................................... Rutherfordton.......................... Salisbury ................................... Scotland Neck .......................... Selma......................................... Shallotte.................................... Shelby ....................................... Siler City................................... Smithfield ................................. Southern Pines......................... Southern Shores ...................... Southport.................................. Sparta........................................ Spencer ..................................... Spindale .................................... Spring Hope ............................. Spring Lake .............................. Stallings .................................... Stanley ...................................... Statesville ................................. St. Pauls .................................... Sunset Beach............................ Surf City.................................... Swansboro ................................ Sylva.......................................... Tarboro ..................................... Taylorsville ............................... Thomasville .............................. Trent Woods ............................. Troutman .................................. Troy ........................................... Tryon ......................................... Valdese...................................... Vass ........................................... Wadesboro ............................... Wake Forest ............................. Warsaw ..................................... Washington............................... Waxhaw .................................... Waynesville .............................. Weaverville............................... Weldon...................................... Wendell..................................... Whispering Pines..................... Whitakers ................................. White Lake............................... Wilkesboro ............................... Williamston .............................. Wilmington............................... Wilson ....................................... Wilson’s Mills........................... Windsor .................................... Wingate..................................... Winterville................................ Woodfin .................................... Wrightsville Beach .................. Yadkinville ............................... Youngsville............................... Zebulon .................................... Beulah....................................... Bismarck................................... Cavalier..................................... Devils Lake .............................. Dickinson ................................. Fargo ......................................... Fessenden ................................. Grafton ..................................... Grand Forks ............................. Harvey ...................................... Jamestown ................................
Population
57,132 1,805 1,403 1,157 8,738 4,090 28,449 2,195 6,877 1,698 21,437 8,636 12,456 12,351 2,708 2,960 1,767 3,355 3,916 1,280 8,080 4,201 3,134 25,756 2,053 2,296 1,873 1,540 2,369 10,463 1,828 26,437 3,889 1,767 3,408 1,745 4,525 778 5,134 24,348 3,149 10,092 3,505 9,436 2,543 1,290 4,867 2,138 772 581 3,193 5,531 96,913 47,727 1,535 2,175 3,876 4,658 3,335 2,573 2,898 738 4,358 2,974 58,648 1,404 6,647 15,595 89,998 519 4,118 50,477 1,671 14,696
Violent crime
662 3 4 5 74 5 327 31 61 14 177 45 112 91 0 3 2 24 28 8 55 24 14 275 14 3 15 8 22 53 8 140 1 11 25 5 13 4 38 49 21 105 15 19 4 10 19 0 5 11 15 58 821 331 9 8 14 26 10 1 17 16 33 3 108 1 13 7 241 0 6 120 6 23
Murder and nonnegligent manslaughter 14 0 0 1 0 0 3 1 3 0 2 0 0 1 0 0 0 0 0 0 0 0 0 7 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 1 0 0 0 0 0 1 10 5 0 0 0 1 0 0 0 0 0 0 1 0 1 0 3 0 0 1 0 0
Forcible rape
21 0 0 0 5 0 10 2 6 4 20 3 10 4 0 0 1 0 1 0 3 1 0 10 0 0 2 0 0 5 0 4 0 0 2 0 1 1 5 4 0 3 2 1 1 1 1 0 0 0 1 4 58 5 1 0 2 0 1 1 1 0 0 0 25 1 1 0 62 0 1 30 2 7
Robbery
266 0 2 2 20 3 145 3 15 7 69 14 34 23 0 0 0 8 3 1 15 3 6 84 9 2 0 0 2 17 4 33 0 5 9 2 2 1 10 12 6 43 6 3 0 6 0 0 1 0 4 12 345 64 0 1 3 7 4 0 3 1 7 0 11 0 2 0 26 0 0 11 0 0
Aggravated assault
361 3 2 2 49 2 169 25 37 3 86 28 68 63 0 3 1 16 24 7 37 20 8 174 4 1 13 8 20 31 4 103 1 6 14 3 10 2 23 32 15 56 7 15 3 2 18 0 4 11 10 41 408 257 8 7 9 18 5 0 13 15 26 3 71 0 9 7 150 0 5 78 4 16
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
4,815 103 55 64 659 140 2,051 184 499 241 1,190 396 1,121 864 56 137 39 231 265 46 610 228 182 1,794 133 87 155 87 192 423 139 1,265 37 103 168 42 101 42 467 594 181 645 167 385 91 142 178 7 29 116 351 419 5,893 2,334 34 71 108 182 107 198 153 67 329 42 1,550 20 272 462 2,745 2 108 1,762 22 298
Burglary
1,354 28 17 28 266 21 501 76 230 81 324 94 227 238 20 34 8 88 80 9 212 104 74 650 59 46 74 14 44 101 29 364 8 33 31 15 20 11 184 120 35 121 42 118 8 29 37 2 16 31 85 93 1,637 493 13 16 48 49 37 64 23 16 39 10 255 7 36 79 530 2 14 253 4 58
Larcenytheft
3,240 74 32 30 375 115 1,381 105 236 143 815 281 832 589 35 100 28 139 171 36 357 107 102 1,013 70 39 74 66 138 300 103 838 25 69 134 27 78 30 251 467 137 500 120 251 81 112 127 5 13 84 255 309 3,613 1,743 17 55 57 128 56 129 123 51 282 29 1,194 12 226 349 2,018 0 84 1,379 18 226
Motor vehicle theft
221 1 6 6 18 4 169 3 33 17 51 21 62 37 1 3 3 4 14 1 41 17 6 131 4 2 7 7 10 22 7 63 4 1 3 0 3 1 32 7 9 24 5 16 2 1 14 0 0 1 11 17 643 98 4 0 3 5 14 5 7 0 8 3 101 1 10 34 197 0 10 130 0 14
Arson1
16 0 0 0 5 1 12 3 6 4 9 2 5 4 0 8 0 0 0 1 2 1 0 7 0 0 0 1 1 1 0 7 0 0 2 0 0 0 6 4 0 4 2 3 1 0 0 1 1 0 0 2 16 20 0 1 2 0 0 1 1 0 0 0 5 0 1 0 21 0 0 3 1 3
SECTION II: OFFENSES REPORTED 163 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
OHIO
1 The
City
Mandan..................................... Mayville .................................... Minot......................................... Northwood ............................... Portland .................................... Rolla.......................................... Rugby........................................ Steele......................................... Valley City ................................ Wahpeton ................................. West Fargo................................ Williston.................................... Akron........................................ Alliance .................................... Amberley Village..................... Amelia ...................................... Amherst.................................... Arcanum................................... Archbold .................................. Ashland .................................... Athens ...................................... Aurora....................................... Austintown ............................... Bainbridge Township .............. Barberton ................................. Batavia...................................... Bath Township, Summit County........................ Beachwood............................... Beavercreek ............................. Beaver Township ..................... Bedford Heights ...................... Bellaire ..................................... Bellbrook.................................. Bellefontaine............................ Bellville..................................... Belpre ....................................... Berea......................................... Bethel........................................ Beverly...................................... Bexley ....................................... Blendon Township................... Blue Ash ................................... Bluffton..................................... Bowling Green......................... Brecksville................................ Brimfield Township ................. Broadview Heights.................. Brooklyn................................... Brooklyn Heights .................... Brook Park............................... Brookville................................. Bryan ........................................ Buckeye Lake .......................... Butler Township....................... Cadiz ......................................... Cambridge................................ Camden..................................... Campbell .................................. Canal Fulton ............................ Canfield .................................... Canton ...................................... Cardington ............................... Celina........................................ Centerville................................ Chardon.................................... Cincinnati ................................. Circleville ................................. Clay Township, Ottawa County ........................ Cleveland.................................. Cleveland Heights ................... Cleves........................................ Clinton Township..................... Clyde ......................................... Coldwater .................................
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
17,521 1,919 34,487 853 562 1,451 2,606 676 6,325 7,850 22,462 12,260 208,701 22,703 3,204 3,624 11,850 2,002 4,530 21,939 20,833 14,512 35,888 11,334 26,942 1,691
34 0 91 0 1 3 0 0 9 14 29 17 1,567 107 1 1 13 1 4 19 40 13 19 13 57 1
0 0 3 0 0 0 0 0 1 0 0 0 22 1 0 0 0 0 0 0 0 0 1 0 1 0
7 0 19 0 0 1 0 0 1 0 5 4 174 18 0 0 3 0 0 8 1 5 0 1 7 0
2 0 5 0 0 0 0 0 0 1 4 1 730 23 0 1 8 0 0 11 6 3 17 4 31 0
25 0 64 0 1 2 0 0 7 13 20 12 641 65 1 0 2 1 4 0 33 5 1 8 18 1
436 9 866 4 0 43 12 7 89 182 487 202 10,494 1,105 50 75 230 34 72 551 481 163 1,684 327 1,176 109
46 2 140 0 0 15 2 2 19 14 93 15 3,319 254 25 13 47 4 6 67 72 16 236 44 235 22
351 6 656 3 0 27 7 5 65 164 340 160 5,973 822 25 58 178 30 65 473 400 140 1,366 276 879 83
39 1 70 1 0 1 3 0 5 4 54 27 1,202 29 0 4 5 0 1 11 9 7 82 7 62 4
6 0 6 0 0 0 0 0 0 3 2 8 110 15 0 0 1 1 0 0 3 0 0 0 8 0
10,277 11,239 39,552 6,176 10,568 4,674 6,892 12,772 1,731 6,518 18,026 2,608 1,310 12,161 7,561 11,409 3,992 29,733 13,065 7,854 17,798 10,574 1,474 19,498 5,307 8,327 3,055 8,208 3,379 11,444 2,248 8,630 5,106 7,014 78,653 2,011 10,403 23,049 5,298 332,388 13,648
0 8 30 5 28 12 1 34 2 5 14 6 0 27 11 8 6 30 7 14 8 44 0 21 1 6 22 10 8 55 1 48 8 0 761 2 21 11 3 3,588 19
0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 8 0 0 0 0 63 1
0 1 12 0 3 2 0 6 1 0 4 1 0 0 2 0 2 11 1 3 1 6 0 3 0 3 3 3 2 8 0 6 1 0 61 0 5 1 0 313 3
0 5 11 3 18 1 0 8 1 0 3 0 0 16 8 3 0 7 0 1 0 21 0 4 0 0 4 5 1 10 0 18 0 0 417 0 1 7 1 1,961 13
0 2 6 2 7 9 1 20 0 5 7 5 0 11 1 5 3 12 6 10 7 17 0 14 1 3 15 2 5 37 1 21 7 0 275 2 15 3 2 1,251 2
179 447 1,346 156 339 51 119 662 55 138 316 209 57 441 285 251 94 1,121 58 261 72 615 44 289 66 193 194 299 82 862 15 338 125 98 6,158 61 330 562 116 20,531 1,100
20 36 143 37 70 4 11 93 9 25 63 30 6 124 34 39 17 119 5 37 17 53 11 20 10 27 34 20 20 194 8 176 30 18 1,768 12 31 114 12 6,200 244
151 383 1,139 117 216 45 107 548 45 105 241 177 50 305 229 208 76 951 53 216 47 466 25 221 53 162 149 242 59 630 6 142 95 77 3,916 48 289 429 98 12,332 822
8 28 64 2 53 2 1 21 1 8 12 2 1 12 22 4 1 51 0 8 8 96 8 48 3 4 11 37 3 38 1 20 0 3 474 1 10 19 6 1,999 34
0 0 10 0 0 1 1 0 1 0 3 0 0 2 2 1 0 3 0 0 0 0 0 2 1 1 0 0 0 0 0 0 3 0 38 1 2 4 0 231 3
2,732 439,888 46,609 2,501 3,938 6,172 4,454
3 6,444 28 1 26 3 3
0 90 1 0 0 0 0
0 374 1 0 3 0 2
0 4,022 21 0 21 3 0
3 1,958 5 1 2 0 1
33 27,016 545 75 555 222 63
12 9,050 71 19 103 48 9
17 11,184 398 53 421 170 49
4 6,782 76 3 31 4 5
0 516 0 1 2 2 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
164
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Columbus ................................. Conneaut .................................. Cortland.................................... Covington ................................. Crestline ................................... Creston ..................................... Cridersville ............................... Crooksville ............................... Cuyahoga Falls......................... Danville .................................... Dayton ...................................... Deer Park ................................. Defiance ................................... Delaware .................................. Delhi Township........................ Delphos .................................... Delta ......................................... Dennison .................................. Dover ........................................ Dublin ....................................... Eastlake .................................... Eaton......................................... Edgerton................................... Elmwood Place ........................ Elyria......................................... Englewood ............................... Euclid........................................ Fairborn .................................... Fairfield..................................... Fairfield Township ................... Fairlawn .................................... Fairport Harbor ....................... Findlay ...................................... Forest Park ............................... Fort Recovery .......................... Fort Shawnee ........................... Fredericktown.......................... Fremont .................................... Gahanna ................................... Galion ....................................... Garfield Heights ...................... Gates Mills ............................... Geneva-on-the-Lake............... Genoa ....................................... Georgetown ............................. Germantown ............................ German Township, Clark County ........................... German Township, Montgomery County............... Gibsonburg .............................. Girard ....................................... Glendale ................................... Goshen Township, Clemont County ...................... Goshen Township, Mahoning County ................... Grandview Heights ................. Granville................................... Greenfield ................................ Greenville................................. Grove City................................ Groveport................................. Hamilton................................... Harrison.................................... Hartville.................................... Heath ........................................ Hebron...................................... Highland Heights .................... Highland Hills.......................... Hilliard...................................... Hillsboro................................... Holland ..................................... Howland Township.................. Hubbard Township.................. Huber Heights ......................... Huron........................................ Independence .......................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
735,981 12,573 6,508 2,572 5,077 2,132 1,743 2,469 50,543 1,081 155,526 5,432 16,159 33,177 29,808 6,794 2,936 2,896 12,533 37,326 19,590 8,213 1,997 2,343 55,697 12,844 48,186 31,705 42,264 17,093 7,138 3,225 38,038 17,470 1,350 3,741 2,468 16,885 33,140 11,093 28,221 2,308 1,522 2,319 3,624 5,126
6,269 35 10 0 7 1 3 5 76 0 1,597 9 35 95 27 7 2 0 15 25 28 16 1 9 222 18 200 111 223 24 15 18 59 55 1 8 0 49 120 19 140 0 1 0 9 5
79 0 0 0 0 0 0 0 0 0 28 0 0 3 2 0 0 0 0 0 1 0 0 0 1 1 2 1 1 0 0 0 1 0 0 0 0 0 0 0 4 0 0 0 0 0
661 2 1 0 1 0 2 2 17 0 116 5 16 48 4 5 1 0 5 8 3 5 0 4 35 2 24 33 20 3 0 2 24 7 1 0 0 1 12 6 11 0 0 0 4 2
3,849 7 0 0 1 1 1 0 17 0 749 4 8 16 9 0 0 0 4 12 16 2 0 2 74 5 106 39 42 6 10 2 15 47 0 0 0 19 17 3 47 0 0 0 0 0
1,680 26 9 0 5 0 0 3 42 0 704 0 11 28 12 2 1 0 6 5 8 9 1 3 112 10 68 38 160 15 5 14 19 1 0 8 0 29 91 10 78 0 1 0 5 3
51,491 435 113 49 60 58 31 19 1,549 13 10,465 112 778 979 359 132 87 12 146 757 446 331 52 49 2,278 438 1,631 1,151 1,487 541 375 153 1,281 655 10 29 68 1,079 921 565 897 16 23 51 200 80
14,370 128 15 15 16 5 8 5 167 2 3,272 17 82 219 72 47 19 2 36 139 29 58 4 11 602 38 521 194 253 80 25 34 222 103 4 10 9 157 130 91 250 2 7 6 39 14
30,893 287 85 34 41 51 23 13 1,287 11 5,607 87 692 737 268 84 67 9 97 583 377 264 48 37 1,515 379 924 894 1,126 452 340 115 1,023 510 6 19 59 892 744 461 587 13 13 45 161 66
6,228 20 13 0 3 2 0 1 95 0 1,586 8 4 23 19 1 1 1 13 35 40 9 0 1 161 21 186 63 108 9 10 4 36 42 0 0 0 30 47 13 60 1 3 0 0 0
638 0 0 0 1 0 0 0 5 0 172 0 4 16 1 0 1 0 0 4 4 4 1 2 13 2 4 9 12 0 0 3 3 5 0 0 0 3 12 1 1 0 0 0 0 0
7,359
2
0
1
0
1
251
18
230
3
3
3,255 2,478 10,306 2,090
4 1 56 3
0 0 0 0
1 0 5 1
0 0 7 1
3 1 44 1
62 89 344 35
26 9 61 7
35 78 249 27
1 2 34 1
1 0 0 0
16,421
12
0
6
3
3
325
72
244
9
4
3,496 6,144 5,306 5,172 12,978 32,472 5,087 62,330 8,440 2,564 8,936 2,165 8,693 1,386 27,186 6,736 1,274 16,761 5,826 37,588 7,394 6,760
10 12 3 8 48 66 13 501 7 1 16 1 4 1 33 3 4 22 11 64 0 10
0 0 0 0 5 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0
0 3 0 0 10 9 3 101 2 0 3 1 0 0 7 0 0 0 0 19 0 2
0 3 1 4 5 44 4 193 2 0 7 0 1 1 14 3 4 8 0 26 0 3
10 6 2 4 28 13 6 205 2 1 6 0 3 0 12 0 0 14 11 19 0 5
110 163 66 303 519 1,192 212 4,144 354 27 551 90 95 10 830 283 167 552 169 1,181 153 188
35 40 7 72 101 154 29 1,077 22 5 51 13 12 1 132 34 9 114 43 158 16 10
70 111 56 214 391 977 170 2,742 322 20 489 77 78 6 654 241 156 419 117 917 134 163
5 12 3 17 27 61 13 325 10 2 11 0 5 3 44 8 2 19 9 106 3 15
1 1 0 2 5 6 1 25 6 0 2 0 0 0 9 2 0 0 2 17 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 165 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Indian Hill ................................ Jackson Township, Mahoning County ................... Jackson Township, Montgomery County............... Jackson Township, Stark County ............................ Jefferson ................................... Johnstown................................. Kent........................................... Kenton ...................................... Kettering................................... Kirtland .................................... Kirtland Hills ........................... Lakemore ................................. Lake Township......................... Lakewood................................. Lancaster .................................. Lebanon.................................... Lexington ................................. Liberty Township..................... Lima .......................................... Liverpool Township................. Logan ........................................ London ..................................... Lorain ....................................... Lordstown ................................ Loudonville .............................. Lynchburg ................................ Lyndhurst ................................. Madeira..................................... Madison Township, Lake County ............................ Mansfield.................................. Mariemont................................ Marietta .................................... Marion ...................................... Marysville ................................. Mason ....................................... Mayfield Heights ..................... Mayfield Village....................... McArthur ................................. McComb ................................... Medina Township .................... Mentor ...................................... Mentor-on-the-Lake ............... Miamisburg .............................. Miami Township ...................... Middlefield ............................... Middletown .............................. Milford...................................... Millersburg ............................... Milton Township...................... Minerva..................................... Mingo Junction ........................ Mogadore ................................. Monroe ..................................... Montgomery............................. Montpelier................................ Montville Township................. Mount Gilead........................... Mount Orab ............................. Munroe Falls ............................ Napoleon .................................. Navarre ..................................... New Albany ............................. Newark ..................................... New Boston.............................. Newcomerstown ...................... New Franklin ........................... New Lebanon........................... New Lexington ........................ New London ............................ New Philadelphia .................... Newtown................................... Niles .......................................... North Canton........................... North Olmsted......................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
5,611
1
0
0
0
1
56
7
45
4
0
2,290
1
0
1
0
0
74
15
51
8
0
3,820
0
0
0
0
0
24
13
10
1
0
39,149 3,483 4,037 27,921 8,123 54,254 7,400 793 2,778 7,362 51,606 36,735 20,828 4,189 12,118 37,767 4,246 7,426 9,603 70,861 3,611 2,995 1,427 14,052 8,052
65 4 3 77 4 78 0 0 3 6 90 88 36 1 23 351 0 10 10 328 0 2 1 4 2
0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 1 0 0 0 7 0 0 0 0 0
7 2 1 7 3 12 0 0 1 2 5 16 8 0 1 46 0 6 4 16 0 2 0 1 0
31 1 2 11 1 39 0 0 1 3 49 34 8 1 16 109 0 2 2 140 0 0 1 0 1
27 1 0 59 0 26 0 0 1 1 34 38 20 0 6 195 0 2 4 165 0 0 0 3 1
1,345 77 37 697 352 1,602 70 8 133 417 1,326 1,933 392 90 413 2,633 47 437 333 2,403 72 73 26 0 67
176 13 22 186 75 245 10 2 31 33 283 377 60 26 117 773 10 99 45 855 20 16 2 0 6
1,125 59 13 478 273 1,212 58 6 98 368 889 1,464 305 62 273 1,681 32 328 278 1,391 49 57 23 0 58
44 5 2 33 4 145 2 0 4 16 154 92 27 2 23 179 5 10 10 157 3 0 1 0 3
2 0 2 45 2 17 1 0 2 2 14 16 2 0 1 32 0 0 0 43 0 1 0 0 1
16,953 50,004 3,011 14,128 35,975 17,829 30,640 17,941 3,159 2,074 1,653 8,683 51,775 8,316 19,925 40,056 2,437 51,244 6,323 3,610 2,892 3,967 3,373 3,952 14,327 9,819 4,082 7,410 3,532 2,891 5,253 9,092 1,424 6,776 47,373 2,161 3,916 15,087 4,150 4,613 2,592 17,470 3,966 19,675 16,761 31,854
64 163 1 25 97 4 14 9 5 1 3 0 44 1 27 27 1 223 14 4 1 10 22 1 55 1 10 2 5 2 0 14 0 5 123 8 3 7 6 15 2 17 1 79 15 39
0 5 0 0 1 0 0 2 0 0 0 0 1 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 3 0 1
11 40 0 10 26 2 6 0 3 1 1 0 11 0 7 6 1 28 2 1 0 0 0 1 9 0 2 1 0 0 0 3 0 1 34 1 0 6 3 4 1 4 0 10 4 5
4 63 0 7 31 0 3 3 0 0 0 0 12 1 8 6 0 87 3 0 0 1 0 0 7 0 0 1 3 2 0 3 0 0 53 4 0 0 1 4 0 9 1 27 7 21
49 55 1 8 39 2 5 4 2 0 2 0 20 0 12 15 0 105 9 3 1 9 22 0 39 1 7 0 2 0 0 7 0 4 33 3 3 1 2 7 1 4 0 39 4 12
444 2,886 72 536 1,741 340 576 315 73 52 30 71 1,208 67 736 773 47 4,040 213 84 59 176 66 84 687 199 234 73 115 59 34 406 23 71 2,515 322 111 117 68 210 32 153 69 1,221 259 587
86 865 2 117 391 23 67 16 13 12 9 8 135 13 135 103 5 874 18 16 14 31 14 6 84 22 58 29 16 13 7 51 3 10 587 57 11 41 9 31 8 25 10 211 60 107
338 1,945 69 406 1,302 313 497 275 59 38 21 59 1,014 53 553 657 41 2,939 190 68 40 136 46 77 584 174 170 43 96 45 25 349 17 61 1,818 261 92 64 53 164 23 118 56 915 192 419
20 76 1 13 48 4 12 24 1 2 0 4 59 1 48 13 1 227 5 0 5 9 6 1 19 3 6 1 3 1 2 6 3 0 110 4 8 12 6 15 1 10 3 95 7 61
5 10 0 3 9 1 4 0 0 2 0 0 18 1 10 5 0 2 0 0 0 5 0 0 7 1 3 0 2 0 1 3 1 0 31 0 0 3 0 0 0 2 0 5 5 7
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
166
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
North Ridgeville ...................... Northwood ............................... Norwalk .................................... Oberlin...................................... Olmsted Falls ........................... Ontario ..................................... Orange Village ......................... Oregon...................................... Orrville ..................................... Orwell ....................................... Owensville................................ Oxford....................................... Parma........................................ Parma Heights ......................... Pataskala................................... Paulding.................................... Pepper Pike .............................. Perkins Township..................... Perry Township, Franklin County....................... Perry Township, Montgomery County............... Perry Township, Stark County ............................ Pickerington ............................. Pierce Township....................... Piqua ......................................... Plain City .................................. Poland Township...................... Poland Village .......................... Port Clinton.............................. Portsmouth ............................... Reading .................................... Reminderville .......................... Reynoldsburg........................... Rittman..................................... Riverside .................................. Roaming Shores Village ......... Rossford ................................... Salem......................................... Saline Township ....................... Sandusky .................................. Sebring...................................... Seville........................................ Sharon Township ..................... Sheffield Lake.......................... Shelby ....................................... Silverton ................................... Smithville.................................. Solon ......................................... South Charleston..................... South Euclid............................. South Russell ........................... South Solon .............................. Spencer ..................................... Spencerville.............................. Springdale ................................ Springfield ................................ Springfield Township, Hamilton County..................... Springfield Township, Mahoning County ................... Springfield Township, Summit County........................ St. Bernard ............................... St. Clair Township.................... Steubenville.............................. St. Henry................................... Stow........................................... Strasburg .................................. Struthers ................................... Sugarcreek Township .............. Sylvania Township ................... Tallmadge ................................. Tipp City................................... Toledo ....................................... Twinsburg ................................. Uhrichsville .............................. Union ........................................ University Heights .................. 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
27,959 5,482 16,586 8,247 8,376 5,301 3,316 19,074 8,451 1,501 836 22,457 79,250 20,108 13,002 3,390 5,698 12,994
12 9 15 14 8 9 6 20 17 2 0 98 180 17 12 3 3 2
0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 1 0 0
2 1 8 2 3 3 2 1 6 0 0 14 24 5 3 1 1 0
0 1 1 6 0 4 0 5 7 0 0 6 46 5 5 0 0 2
10 7 5 6 5 2 4 14 4 2 0 78 107 7 4 1 2 0
298 309 430 153 97 562 53 882 206 35 25 609 1,705 438 300 23 59 290
96 39 86 26 21 29 10 112 21 3 2 134 526 80 74 5 10 10
176 261 334 125 73 521 41 750 175 31 23 460 1,018 317 215 16 49 279
26 9 10 2 3 12 2 20 10 1 0 15 161 41 11 2 0 1
1 0 2 0 2 0 0 8 7 0 0 5 29 4 7 0 1 1
3,595
2
0
1
0
1
43
6
37
0
0
3,801
4
0
2
0
2
41
18
21
2
1
28,623 17,854 11,002 20,875 3,653 11,336 2,724 6,246 20,030 9,936 2,544 33,210 6,291 22,317 1,217 6,349 11,915 1,373 25,994 4,587 2,464 2,306 9,049 9,441 4,556 1,306 22,318 1,808 21,559 3,982 387 825 2,180 9,520 62,426
66 15 14 34 1 0 1 15 125 29 1 102 5 65 0 6 2 2 225 1 2 0 7 13 11 1 20 0 42 0 0 0 0 29 461
1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 5
4 1 2 13 0 0 0 1 16 7 0 9 0 7 0 0 0 2 8 0 2 0 1 4 2 1 3 0 8 0 0 0 0 2 36
15 10 10 16 0 0 0 5 58 15 0 55 3 27 0 5 0 0 47 0 0 0 3 4 5 0 4 0 30 0 0 0 0 25 241
46 3 2 5 1 0 1 9 50 7 1 38 2 30 0 1 2 0 169 1 0 0 3 5 2 0 13 0 2 0 0 0 0 2 179
782 361 398 1,113 27 35 22 245 2,138 390 14 1,249 152 975 14 164 156 19 1,591 34 55 40 197 584 132 29 265 24 580 12 1 7 23 800 5,407
156 31 51 194 5 10 4 49 533 67 6 233 39 241 4 24 3 6 398 10 5 5 52 131 23 4 29 3 166 3 0 2 6 52 1,403
567 322 339 886 17 25 17 191 1,537 277 7 923 100 610 8 134 141 10 1,126 22 50 33 136 448 95 25 229 19 356 9 1 5 17 715 3,627
59 8 8 33 5 0 1 5 68 46 1 93 13 124 2 6 12 3 67 2 0 2 9 5 14 0 7 2 58 0 0 0 0 33 377
4 1 3 21 0 1 0 0 20 0 0 4 1 7 0 2 0 0 4 0 0 0 2 4 0 0 1 1 4 0 0 0 0 3 27
35,051
71
4
11
37
19
688
152
489
47
6
6,116
4
0
1
1
2
153
48
98
7
1
15,449 4,364 7,805 19,107 2,382 34,617 2,704 10,987 6,875 26,380 17,506 9,376 296,403 17,545 5,597 6,345 12,865
38 14 4 79 0 24 4 21 12 9 23 13 3,639 9 2 4 20
0 0 0 1 0 0 0 0 0 0 0 0 13 0 0 0 0
7 2 0 5 0 6 2 2 1 0 4 5 151 0 0 0 2
21 6 3 40 0 15 2 11 2 5 15 6 1,225 3 0 1 17
10 6 1 33 0 3 0 8 9 4 4 2 2,250 6 2 3 1
769 169 29 929 15 825 105 405 125 667 399 240 19,826 141 217 69 252
156 20 1 167 2 119 21 101 7 91 95 51 5,921 25 49 12 45
591 132 28 718 12 696 79 287 112 544 279 182 12,029 111 157 52 196
22 17 0 44 1 10 5 17 6 32 25 7 1,876 5 11 5 11
3 0 0 0 0 9 0 0 3 0 3 1 359 1 0 0 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 167 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
OKLAHOMA
1 The 3 The
City
Upper Arlington ...................... Vandalia.................................... Van Wert ................................... Vermilion.................................. Village of Leesburg ................. Wadsworth ............................... Waite Hill ................................. Walbridge ................................. Walton Hills ............................. Wapakoneta ............................. Warren ...................................... Warrensville Heights............... Warren Township..................... Washingtonville ....................... Waverly..................................... Waynesburg.............................. Wells Township ........................ West Alexandria ...................... West Carrollton ....................... West Chester Township........... Westerville................................ West Jefferson.......................... Whitehall .................................. Willard ...................................... Williamsburg ............................ Willoughby ............................... Willoughby Hills...................... Willowick.................................. Wilmington............................... Windham .................................. Wintersville .............................. Woodlawn................................. Wooster..................................... Worthington ............................. Wyoming .................................. Xenia......................................... Youngstown.............................. Zanesville ................................. Achille ...................................... Ada............................................ Altus.......................................... Alva........................................... Anadarko ................................. Antlers ...................................... Apache...................................... Ardmore ................................... Arkoma .................................... Atoka ........................................ Bartlesville ............................... Beaver....................................... Beggs......................................... Bethany..................................... Bixby ......................................... Blackwell .................................. Blanchard ................................. Boise City ................................. Boley ......................................... Bristow...................................... Broken Arrow.......................... Broken Bow ............................. Caddo........................................ Calera........................................ Carnegie ................................... Catoosa ..................................... Chandler ................................... Checotah................................... Chelsea ..................................... Cherokee .................................. Chickasha ................................. Choctaw3 .................................. Chouteau .................................. Claremore................................. Clayton ..................................... Cleveland..................................
Population
31,009 14,171 10,381 10,892 1,345 20,391 554 3,077 2,310 9,583 44,858 13,815 6,173 762 4,430 974 2,898 1,328 12,897 55,216 34,907 4,254 17,719 6,757 2,352 22,319 8,430 13,804 12,806 2,711 3,860 2,492 25,914 12,941 7,485 23,335 81,521 25,332 530 15,901 19,284 4,747 6,519 2,481 1,583 24,663 2,205 3,044 34,902 1,378 1,374 19,456 20,303 7,134 6,351 1,284 1,086 4,402 89,463 4,217 982 1,817 1,589 6,789 2,876 3,520 2,269 1,445 17,346 11,009 2,016 17,519 722 3,230
Violent crime
9 20 29 5 1 15 0 0 0 8 508 57 5 0 0 0 0 2 42 78 34 4 193 11 3 15 10 13 28 7 0 9 55 20 6 43 812 118 3 137 45 10 47 36 9 241 1 7 114 1 2 70 20 19 2 1 2 14 187 25 5 3 9 39 8 6 1 0 120 7 53 14 17
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 1 42 0 1 1 0 0 0 0 0 3 0 0 0 0 0 2 0 0 0 0 0 0 1 1 0 0 0 2 0 0 0 0 0 0 0 1 0 0
Forcible rape
2 7 11 0 1 8 0 0 0 3 48 3 0 0 0 0 0 1 16 14 7 1 18 1 2 2 3 2 5 1 0 0 15 0 0 9 51 21 0 16 0 0 1 3 1 17 1 3 15 0 0 13 4 3 2 0 1 1 24 3 0 0 0 2 3 0 0 0 6 1 0 14 0 2
Robbery
6 9 3 1 0 1 0 0 0 0 191 49 1 0 0 0 0 0 9 35 22 0 135 6 1 3 3 2 6 3 0 5 19 9 4 25 277 56 0 7 16 0 4 1 0 25 0 0 18 0 0 16 2 2 0 0 0 3 27 1 1 1 0 6 1 0 0 0 10 2 1 3 0 1
Aggravated assault
1 4 15 4 0 6 0 0 0 5 263 5 4 0 0 0 0 1 17 28 5 3 39 4 0 10 4 9 17 3 0 4 19 11 2 8 442 41 2 113 29 10 42 32 8 196 0 4 81 1 2 39 14 14 0 1 1 10 135 20 4 2 9 29 4 6 1 0 104 6 35 14 14
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
Property crime
374 427 498 256 48 416 2 67 21 244 2,492 476 94 20 109 16 49 31 466 1,701 918 155 1,471 265 83 373 131 196 690 113 88 131 982 352 127 1,130 4,101 1,588 15 1,011 794 144 409 74 47 1,276 21 118 1,333 18 22 724 276 153 108 14 9 212 1,961 253 21 46 31 149 99 134 31 7 779 230 63 516 10 116
Burglary
66 74 99 54 7 44 2 14 1 29 923 159 21 7 5 3 13 1 79 324 149 33 305 64 17 71 40 27 65 31 7 14 168 61 22 194 1,704 350 5 195 225 20 125 15 20 341 9 37 255 9 9 212 74 52 26 7 6 46 426 105 10 16 18 38 37 17 14 6 217 51 22 122 6 29
Larcenytheft
293 329 392 187 38 341 0 49 17 204 1,370 204 64 12 104 11 33 29 307 1,334 753 116 1,064 191 63 276 84 152 623 80 75 105 792 290 95 895 1,898 1,161 9 757 547 117 266 55 25 860 11 75 993 9 10 421 184 92 64 6 3 148 1,397 118 11 29 11 84 55 110 13 1 507 162 39 365 4 78
Motor vehicle theft
15 24 7 15 3 31 0 4 3 11 199 113 9 1 0 2 3 1 80 43 16 6 102 10 3 26 7 17 2 2 6 12 22 1 10 41 499 77 1 59 22 7 18 4 2 75 1 6 85 0 3 91 18 9 18 1 0 18 138 30 0 1 2 27 7 7 4 0 55 17 2 29 0 9
Arson1
8 0 3 1 0 5 0 0 0 1 5 1 0 0 1 1 0 4 16 8 0 0 0 1 0 0 0 2 0 0 0 28 8 1 11 296 10 0 3 2 0 20 2 0 2 0 1 14 0 0 5 3 3 1 0 2 2 26 0 1 0 0 3 0 1 0 0 7 4 1 0 0 0
168
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Clinton ...................................... Coalgate.................................... Colbert...................................... Collinsville................................ Comanche................................. Cordell ...................................... Coweta...................................... Crescent.................................... Cushing ..................................... Davenport ................................ Davis ......................................... Del City .................................... Dewey ....................................... Drumright................................. Duncan ..................................... Durant....................................... Edmond .................................... Elk City..................................... El Reno..................................... Enid........................................... Eufaula ..................................... Fairfax3 ...................................... Fairview .................................... Fort Gibson .............................. Frederick .................................. Geary ........................................ Glenpool................................... Goodwell .................................. Grove ........................................ Guthrie ..................................... Guymon.................................... Harrah....................................... Hartshorne ............................... Haskell...................................... Healdton................................... Heavener3 ................................. Henryetta ................................. Hinton....................................... Hobart....................................... Holdenville............................... Hollis......................................... Hominy ..................................... Hooker...................................... Hugo ......................................... Hulbert ..................................... Hydro........................................ Idabel ........................................ Jay.............................................. Jenks.......................................... Jones.......................................... Kingfisher ................................. Kingston ................................... Konawa ..................................... Krebs......................................... Lawton...................................... Lexington ................................. Lindsay ..................................... Locust Grove ........................... Lone Grove .............................. Luther ....................................... Madill........................................ Mangum.................................... Mannford.................................. Marietta .................................... Marlow...................................... Maysville................................... McAlester................................. McLoud .................................... Meeker...................................... Miami........................................ Midwest City ............................ Minco ........................................ Moore ....................................... Mooreland................................ 1 The 3 The
Population
8,395 1,836 1,115 4,559 1,525 2,910 8,847 1,356 8,479 893 2,671 21,872 3,281 2,890 22,486 15,177 77,879 11,079 16,221 46,454 2,797 1,486 2,592 4,328 4,113 1,239 9,251 1,127 6,141 11,074 10,721 5,010 2,072 1,781 2,772 3,274 6,090 2,172 3,741 5,546 2,072 3,701 1,725 5,573 530 1,034 6,906 3,020 14,906 2,674 4,515 1,561 1,417 2,137 86,864 2,071 2,918 1,589 5,239 1,098 3,735 2,695 2,787 2,568 4,564 1,304 18,414 4,250 1,000 13,622 55,315 1,805 50,548 1,229
Violent crime
32 2 4 12 4 9 21 4 27 0 1 115 6 1 50 54 92 18 68 155 8 4 2 17 7 18 2 15 26 47 7 5 2 3 16 0 11 13 5 20 1 12 1 0 47 5 15 2 5 2 2 6 1,075 0 3 6 11 2 13 14 6 16 10 4 52 12 3 72 257 0 70 0
Murder and nonnegligent manslaughter 1 0 0 0 0 0 1 0 1 0 0 2 0 0 0 2 2 0 2 3 1 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 3 0 0 0 0 0 0 0 9 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0
Forcible rape
1 1 1 4 1 0 5 0 6 0 0 15 1 0 8 13 21 1 4 22 1 0 1 2 1 1 2 1 1 5 5 1 0 0 1 3 3 0 1 2 2 0 0 0 0 0 11 3 2 1 1 0 0 0 75 0 0 0 0 1 1 0 1 3 5 1 7 1 1 5 19 0 9 0
Robbery
4 0 0 2 0 0 1 0 0 0 0 35 1 0 10 4 31 2 7 22 1 0 0 0 3 0 1 0 0 5 6 0 0 0 0 0 1 0 0 0 0 1 0 4 0 0 4 0 0 0 1 1 0 0 184 0 0 0 1 0 2 0 0 2 0 0 11 2 0 3 54 0 15 0
Aggravated assault
26 1 3 6 3 9 14 4 20 0 1 63 4 1 32 35 38 15 55 108 5 3 0 13 6 15 1 14 15 35 6 5 1 2 12 0 10 10 2 19 1 8 1 0 29 2 13 1 3 1 2 6 807 0 3 6 9 1 10 14 5 11 5 3 34 9 2 64 183 0 45 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency's data were overreported. Consequently, affected data are not included in this table.
Property crime
207 18 21 82 65 27 168 13 198 10 62 1,213 143 50 923 891 1,845 245 568 1,990 141 59 69 48 134 42 173 15 161 277 370 120 46 8 73 67 175 26 51 140 35 28 18 168 3 25 309 46 236 11 88 16 26 42 4,638 41 47 46 123 10 145 78 41 93 84 18 1,111 69 25 603 2,365 5 1,950 25
Burglary
30 9 12 29 21 1 44 2 40 5 14 401 34 9 178 203 387 40 158 465 40 38 19 11 43 13 44 7 32 73 69 41 17 4 13 23 51 9 12 38 9 13 9 52 0 10 44 15 48 2 14 10 9 7 1,555 7 16 8 30 5 33 18 10 25 14 2 194 25 8 151 554 3 393 10
Larcenytheft
160 6 9 47 42 26 107 8 134 5 44 713 108 37 702 617 1,377 192 381 1,452 92 15 49 35 84 28 111 8 128 186 285 77 27 3 59 40 95 13 35 85 25 9 5 110 2 13 249 31 170 9 72 4 13 29 2,813 33 25 34 88 3 99 58 28 62 66 12 881 38 15 435 1,645 2 1,397 14
Motor vehicle theft
17 3 0 6 2 0 17 3 24 0 4 99 1 4 43 71 81 13 29 73 9 6 1 2 7 1 18 0 1 18 16 2 2 1 1 4 29 4 4 17 1 6 4 6 1 2 16 0 18 0 2 2 4 6 270 1 6 4 5 2 13 2 3 6 4 4 36 6 2 17 166 0 160 1
Arson1
2 0 0 0 1 0 0 0 1 0 3 16 0 0 3 5 8 0 7 2 0 0 0 0 6 0 0 0 0 2 2 0 0 0 0 1 1 0 0 0 1 4 0 1 0 1 6 0 2 0 1 0 0 1 49 0 1 0 0 0 1 1 0 0 0 0 1 0 0 4 10 0 5 0
SECTION II: OFFENSES REPORTED 169 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Morris ....................................... Mountain View ........................ Muldrow ................................... Muskogee ................................. Mustang .................................... Newcastle ................................. Newkirk .................................... Nichols Hills............................. Nicoma Park ............................ Noble ........................................ Norman..................................... Nowata...................................... Oilton........................................ Okemah .................................... Oklahoma City ........................ Okmulgee ................................. Oologah .................................... Owasso...................................... Pauls Valley .............................. Pawhuska.................................. Pawnee...................................... Perkins ...................................... Perry.......................................... Piedmont .................................. Ponca City ................................ Porum........................................ Poteau ....................................... Prague ....................................... Pryor ......................................... Purcell ....................................... Ringling .................................... Roland ...................................... Rush Springs ............................ Sallisaw ..................................... Sand Springs............................. Sapulpa ..................................... Sayre ......................................... Seminole ................................... Shawnee.................................... Skiatook.................................... Snyder ....................................... Spencer ..................................... Spiro.......................................... Stigler........................................ Stillwater................................... Stilwell3 ..................................... Stratford ................................... Stringtown ................................ Stroud ....................................... Sulphur ..................................... Tahlequah................................. Talihina ..................................... Tecumseh.................................. Texhoma ................................... The Village ............................... Tishomingo............................... Tonkawa ................................... Tulsa .......................................... Tushka....................................... Tuttle ......................................... Valliant...................................... Vian........................................... Vinita ........................................ Wagoner ................................... Walters ...................................... Warner ...................................... Warr Acres ............................... Watonga.................................... Waukomis................................. Waurika .................................... Waynoka................................... Weatherford ............................. Weleetka................................... Westville ................................... 1 The
Population
1,323 816 3,216 40,113 16,960 6,880 2,128 3,981 2,371 5,638 103,721 4,009 1,125 2,965 542,199 12,805 1,163 25,974 6,175 3,481 2,222 2,251 5,045 5,233 24,548 735 8,347 2,153 9,361 6,026 1,062 3,216 1,349 8,842 18,362 20,960 2,743 6,960 30,109 6,486 1,430 3,943 2,336 2,825 45,692 3,551 1,496 413 2,777 4,924 16,491 1,250 6,723 936 9,719 3,248 3,080 381,469 363 5,935 752 1,483 5,982 8,043 2,548 1,447 9,384 5,807 1,192 1,811 901 9,951 938 1,687
Violent crime
0 1 5 379 49 9 8 1 10 3 177 23 4 14 4,612 80 2 65 20 63 5 6 14 13 210 1 38 3 75 11 6 5 2 48 40 36 10 29 232 33 2 12 16 12 115 7 1 1 6 5 65 5 55 2 24 10 8 4,552 0 2 8 1 23 85 2 1 53 7 4 9 2 57 2 12
Murder and nonnegligent manslaughter 0 0 0 3 1 0 0 0 0 0 4 0 0 0 58 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 55 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
Forcible rape
0 0 0 39 2 0 0 0 0 1 35 1 0 3 326 5 0 15 4 1 1 2 0 3 13 0 2 0 3 3 2 0 0 5 7 6 1 1 17 5 0 1 0 5 16 1 0 0 0 0 10 0 8 0 1 3 4 299 0 0 1 0 1 2 0 1 4 0 0 0 0 3 1 0
Robbery
0 0 0 57 5 2 0 0 1 0 52 1 0 3 1,397 16 0 6 2 0 0 0 0 1 24 0 2 0 2 3 1 0 0 3 8 7 0 0 30 3 0 0 1 1 15 1 0 0 0 0 8 1 1 0 6 0 0 1,023 0 0 0 0 2 5 1 0 24 0 0 0 0 2 0 1
Aggravated assault
0 1 5 280 41 7 8 1 9 2 86 21 4 8 2,831 57 2 44 14 62 4 4 14 9 172 1 34 3 70 5 3 5 2 40 24 22 9 28 183 25 2 11 15 6 84 5 1 1 6 5 45 4 45 2 17 7 4 3,175 0 2 7 1 20 78 1 0 25 7 4 9 2 51 1 11
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
Burglary
Larcenytheft
18 10 72 1,675 537 183 83 48 53 91 3,615 88 12 150 31,949 516 24 591 416 75 32 45 128 40 1,410 12 152 26 384 256 16 25 32 285 664 672 77 280 1,734 293 2 101 51 111 1,243
7 3 16 604 78 32 20 8 16 34 795 29 6 38 8,110 124 9 118 93 19 13 8 26 13 391 4 19 10 71 94 4 8 12 71 123 149 20 56 364 77 1 46 19 15 321
7 7 55 981 433 140 60 37 33 53 2,549 49 6 104 19,228 349 14 437 299 49 17 35 93 27 940 7 106 16 274 147 7 16 17 194 460 448 53 209 1,219 197 1 44 24 94 858
15 7 87 103 726 45 207 9 352 122 103 24,044 4 63 38 16 212 405 33 8 502 86 25 9 26 409 10 64
6 1 24 42 183 18 50 2 94 64 26 6,843 2 17 6 3 39 100 21 2 121 25 9 6 4 75 3 15
8 5 53 56 483 24 148 7 234 55 69 13,522 2 45 32 11 153 296 12 6 324 54 15 3 20 312 4 47
Motor vehicle theft
4 0 1 90 26 11 3 3 4 4 271 10 0 8 4,611 43 1 36 24 7 2 2 9 0 79 1 27 0 39 15 5 1 3 20 81 75 4 15 151 19 0 11 8 2 64 13 1 1 10 5 60 3 9 0 24 3 8 3,679 0 1 0 2 20 9 0 0 57 7 1 0 2 22 3 2
Arson1
0 0 1 14 6 1 0 0 0 2 2 1 0 2 173 2 0 1 2 0 1 0 1 1 28 0 0 0 2 1 0 0 0 1 1 8 12 2 5 0 0 1 2 1 10 1 0 0 1 1 1 0 3 0 3 0 0 255 0 2 1 2 0 0 0 1 0 0 0 0 0 2 0 0
170
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
OREGON
1 The
City
Wetumka .................................. Wewoka .................................... Wilburton ................................. Wilson ....................................... Woodward ................................ Wright City............................... Wynnewood ............................. Yale ........................................... Yukon ....................................... Albany ...................................... Amity ........................................ Ashland .................................... Astoria ...................................... Aumsville.................................. Aurora....................................... Baker City ................................ Bandon ..................................... Banks ........................................ Beaverton ................................. Bend.......................................... Black Butte .............................. Boardman................................. Brookings ................................. Burns......................................... Canby........................................ Cannon Beach ......................... Carlton...................................... Central Point ............................ Clatskanie................................. Coburg ...................................... Condon ..................................... Coos Bay .................................. Coquille .................................... Cornelius .................................. Corvallis.................................... Cottage Grove ......................... Creswell .................................... Dallas ........................................ Eagle Point ............................... Enterprise................................. Estacada ................................... Eugene...................................... Fairview .................................... Florence.................................... Forest Grove ............................ Gearhart ................................... Gervais...................................... Gladstone ................................. Gold Beach .............................. Grants Pass............................... Gresham ................................... Hermiston................................. Hillsboro................................... Hines ......................................... Hood River .............................. Hubbard ................................... Independence .......................... Jacksonville .............................. John Day................................... Junction City ............................ Keizer........................................ King City .................................. Klamath Falls ........................... La Grande ................................ Lake Oswego ........................... Lakeview .................................. Lebanon.................................... Lincoln City ............................. Madras ...................................... Malin ......................................... Manzanita................................. McMinnville ............................. Medford.................................... Milton-Freewater ....................
Population
1,422 3,368 2,896 1,627 12,064 803 2,311 1,284 22,457 46,999 1,462 21,068 9,935 3,378 1,025 9,614 2,911 1,631 91,184 75,185 3,094 6,476 2,702 15,725 1,740 1,523 16,701 1,663 1,011 684 16,096 4,250 11,498 49,870 8,921 4,945 15,097 8,547 1,736 2,473 147,458 9,753 8,250 20,457 1,117 2,451 12,256 1,909 30,292 98,089 15,148 90,439 1,464 6,778 2,624 9,211 2,190 1,555 5,378 35,423 2,257 19,817 12,288 36,917 2,412 14,620 7,996 5,301 634 640 30,980 71,969 6,392
Violent crime
6 10 10 21 31 3 4 1 42 55 0 19 31 18 0 41 1 0 220 155 0 17 7 21 16 0 1 11 3 0 0 30 1 14 57 16 20 35 5 1 4 426 17 7 23 0 14 26 3 67 470 67 195 0 11 1 21 0 18 1 74 5 92 23 31 23 49 47 24 1 0 47 265 12
Murder and nonnegligent manslaughter 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 0 2 0 0 0 0 0 0
Forcible rape
0 0 0 0 1 0 0 0 2 6 0 7 3 1 0 0 0 0 20 20 0 3 1 2 5 0 0 6 0 0 0 0 1 3 11 2 3 7 1 0 0 55 3 1 1 0 0 3 0 14 74 5 39 0 0 0 2 0 1 0 6 0 15 3 6 0 8 7 2 0 0 13 30 0
Robbery
3 2 2 0 3 0 0 0 3 33 0 7 5 1 0 1 1 0 59 40 0 1 2 1 3 0 0 2 0 0 0 9 0 4 10 7 1 2 0 0 1 181 11 4 3 0 1 12 0 21 170 12 71 0 3 0 3 0 0 1 7 4 27 1 8 0 16 6 6 0 0 11 44 0
Aggravated assault
3 8 8 21 27 3 3 1 36 15 0 5 23 16 0 40 0 0 141 95 0 13 4 18 8 0 1 3 3 0 0 21 0 7 35 7 16 26 4 1 3 189 3 2 19 0 13 11 3 29 225 50 85 0 8 1 16 0 17 0 61 1 47 19 17 22 25 32 16 1 0 23 191 12
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
51 121 67 66 650 15 47 0 659 2,236 35 606 353 89 19 207 87 22 2,330 2,977 7 81 168 111 350 26 22 323 55 25 0 687 48 219 1,554 487 166 318 198 20 73 7,804 357 362 563 12 102 380 35 1,667 4,332 972 2,844 5 212 52 235 31 27 28 926 76 665 444 612 89 789 496 399 6 22 795 3,270 209
Burglary
29 43 12 29 164 3 23 0 125 233 9 124 61 8 2 30 16 3 337 594 1 20 30 32 37 5 10 39 10 6 0 146 10 37 226 71 61 45 42 5 18 1,640 75 83 51 1 9 48 4 185 627 163 456 0 24 9 36 4 7 7 122 14 119 82 110 20 126 80 122 4 5 113 412 49
Larcenytheft
19 72 52 34 473 12 17 0 504 1,867 26 458 276 68 13 162 69 18 1,768 2,187 6 57 132 76 302 21 12 255 42 16 0 501 35 156 1,261 340 73 259 148 13 51 5,119 230 254 469 10 72 307 28 1,328 2,671 739 2,081 5 168 32 191 25 18 18 727 59 494 343 473 62 619 394 240 1 17 629 2,662 151
Motor vehicle theft
3 6 3 3 13 0 7 0 30 136 0 24 16 13 4 15 2 1 225 196 0 4 6 3 11 0 0 29 3 3 0 40 3 26 67 76 32 14 8 2 4 1,045 52 25 43 1 21 25 3 154 1,034 70 307 0 20 11 8 2 2 3 77 3 52 19 29 7 44 22 37 1 0 53 196 9
Arson1
1 2 1 2 1 1 1 0 2 33 1 5 2 1 0 1 0 0 23 21 0 0 1 0 3 0 0 2 1 0 0 10 1 2 15 10 2 4 2 1 0 72 2 4 5 0 3 6 0 13 45 5 32 0 2 1 1 0 0 0 4 2 13 7 30 1 5 4 1 0 0 1 53 4
SECTION II: OFFENSES REPORTED 171 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
PENNSYLVANIA
1 The
City
Milwaukie................................. Molalla...................................... Monmouth................................ Mount Angel ............................ Myrtle Creek............................ Newberg-Dundee .................... Newport.................................... North Bend .............................. North Plains ............................. Oakridge................................... Ontario ..................................... Oregon City.............................. Pendleton ................................. Philomath ................................. Phoenix ..................................... Portland .................................... Prairie City ............................... Prineville .................................. Redmond.................................. Reedsport ................................. Rogue River............................. Roseburg .................................. Salem......................................... Sandy ........................................ Scappoose................................. Seaside ...................................... Shady Cove .............................. Sherwood.................................. Silverton ................................... Springfield ................................ Stayton...................................... St. Helens.................................. Sunriver .................................... Sutherlin ................................... Sweet Home............................. Talent ........................................ The Dalles ................................ Tigard........................................ Tillamook ................................. Toledo ....................................... Troutdale .................................. Tualatin ..................................... Turner ....................................... Umatilla.................................... Veneta....................................... Vernonia ................................... Warrenton ................................ West Linn ................................. Wilsonville................................ Winston..................................... Woodburn................................. Yamhill...................................... Abington Township ................. Adamstown .............................. Adams Township, Butler County .......................... Adams Township, Cambria County ...................... Akron........................................ Aldan ........................................ Aliquippa.................................. Allegheny Township, Blair County............................. Allegheny Township, Westmoreland County ............ Allentown................................. Altoona..................................... Ambler...................................... Amity Township....................... Annville Township................... Arnold ...................................... Ashland .................................... Ashley ....................................... Ashville.....................................
Population
21,060 7,210 9,751 3,429 3,555 25,209 9,953 9,892 1,833 3,127 11,100 31,284 16,620 4,206 4,416 538,133 936 9,583 24,095 4,352 1,943 21,128 154,484 8,770 6,222 6,229 2,293 17,957 9,200 56,201 7,385 12,708
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
7,396 8,659 6,150 11,900 50,087 4,435 3,398 15,212 26,712 1,689 5,397 3,927 2,319 4,438 25,636 16,916 4,803 22,399 850 54,413 1,329
42 7 23 8 2 35 54 9 0 5 128 58 101 12 3 3,701 0 86 84 3 1 44 583 9 8 26 2 7 15 245 29 11 2 18 9 6 30 103 7 2 32 50 5 16 27 0 1 16 22 6 66 0 57 0
1 0 0 0 0 1 0 0 0 0 0 0 3 0 0 22 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0
8 2 3 1 0 10 7 0 0 1 6 12 25 0 1 280 0 3 16 1 1 18 58 1 0 5 0 2 4 10 2 1 2 6 2 2 3 9 1 0 6 5 0 3 1 0 0 8 7 0 7 0 4 0
11 1 1 1 1 4 7 4 0 0 10 26 21 1 1 1,289 0 0 16 0 0 16 132 1 1 4 1 2 4 40 2 4 0 1 2 1 6 43 2 0 12 13 0 0 1 0 1 2 10 0 19 0 32 0
22 4 19 6 1 20 40 5 0 4 112 20 52 11 1 2,110 0 83 52 2 0 10 390 7 7 17 1 3 7 195 25 6 0 11 5 3 21 50 4 2 14 32 5 13 25 0 0 6 5 6 39 0 20 0
656 172 245 142 128 622 614 301 6 114 747 1,048 1,043 150 129 31,586 11 362 1,227 139 91 1,021 7,436 360 192 502 52 237 229 3,137 425 352 89 189 424 124 624 1,725 203 108 582 890 62 153 197 45 225 262 584 144 862 14 1,285 18
90 23 52 32 6 50 82 82 2 39 98 120 151 51 14 4,840 5 84 250 20 21 130 915 50 15 58 8 30 44 504 64 78 5 46 120 13 91 190 28 19 74 132 10 35 73 2 33 36 45 40 111 3 107 2
489 138 175 96 116 517 496 201 3 69 609 838 815 91 108 21,978 6 274 889 114 65 844 5,629 285 170 416 44 196 175 2,219 328 252 82 130 293 104 496 1,445 168 79 442 700 50 105 103 41 178 210 494 95 673 11 1,117 14
77 11 18 14 6 55 36 18 1 6 40 90 77 8 7 4,768 0 4 88 5 5 47 892 25 7 28 0 11 10 414 33 22 2 13 11 7 37 90 7 10 66 58 2 13 21 2 14 16 45 9 78 0 61 2
8 1 2 1 1 5 7 1 0 0 4 7 4 1 0 331 1 6 18 0 0 15 30 2 0 1 0 3 1 23 10 15 0 5 3 0 2 16 1 0 13 1 0 0 3 2 0 3 3 5 1 0 0 0
8,963
9
0
0
1
8
71
5
64
2
0
6,113 4,013 4,277 10,854
5 2 7 59
1 0 1 1
0 0 0 1
2 1 3 18
2 1 3 39
46 35 124 254
3 4 15 73
41 31 105 157
2 0 4 24
0 0 0 0
6,907
14
0
1
3
10
158
25
130
3
2
8,177 107,397 46,609 6,248 11,838 4,717 5,301 3,121 2,691 262
9 869 184 7 8 3 14 3 0 0
0 20 1 0 0 0 0 0 0 0
0 20 20 1 0 0 2 0 0 0
3 552 77 2 1 0 6 1 0 0
6 277 86 4 7 3 6 2 0 0
82 5,333 1,318 117 161 27 75 69 26 0
14 1,335 428 11 26 2 22 17 1 0
66 3,462 824 101 123 25 42 51 20 0
2 536 66 5 12 0 11 1 5 0
0 46 24 1 0 0 2 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
172
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Aspinwall.................................. Aston Township ....................... Atglen ....................................... Athens ...................................... Avondale .................................. Avonmore Boro....................... Baldwin Borough .................... Baldwin Township ................... Bally .......................................... Bangor ...................................... Barrett Township ..................... Beaver....................................... Beaver Falls.............................. Bedford..................................... Bedminster Township ............. Bell Acres ................................. Bellevue.................................... Bellwood .................................. Bensalem Township................. Berks-Lehigh Regional........... Bern Township ......................... Bernville ................................... Berwick..................................... Bessemer .................................. Bethel Park .............................. Bethel Township, Armstrong County .................. Bethel Township, Delaware County .................... Bethlehem ................................ Bethlehem Township............... Biglerville ................................. Birdsboro.................................. Birmingham Township............ Blacklick Township ................. Blairsville.................................. Blakely...................................... Blawnox.................................... Bloomsburg Town ................... Bolivar ...................................... Braddock Hills......................... Bradford ................................... Bradford Township.................. Brandywine Regional ............. Brecknock Township, Berks County ........................... Brentwood................................ Briar Creek Township............. Bridgeport ................................ Bridgeville ................................ Bridgewater.............................. Brighton Township .................. Bristol ....................................... Bristol Township...................... Brookhaven.............................. Brookville................................. Brownsville .............................. Buckingham Township............ Buffalo Township..................... Bushkill Township ................... Butler ........................................ Butler Township, Butler County .......................... Butler Township, Schuykill County ..................... California.................................. Caln Township ......................... Cambria Township................... Cambridge Springs .................. Camp Hill ................................. Carbondale............................... Carlisle...................................... Carnegie ................................... Carrolltown .............................. 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
2,720 16,853 1,378 3,272 1,091 775 18,440 2,048 1,112 5,282 4,387 4,447 9,189 3,011 5,681 1,383 8,023 1,890 58,788 28,142 7,165 887 10,246 1,106 31,669
3 31 3 10 1 0 13 1 0 8 6 2 101 4 7 0 11 0 120 10 38 0 20 1 12
0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
0 2 1 3 0 0 3 0 0 2 0 0 3 0 1 0 1 0 9 1 0 0 12 0 2
0 6 0 0 1 0 4 0 0 2 1 0 31 0 0 0 8 0 60 2 2 0 2 0 1
3 23 2 7 0 0 5 1 0 4 5 2 67 4 6 0 2 0 50 7 36 0 6 1 9
32 290 7 103 2 0 154 27 0 184 40 131 467 90 63 1 83 9 2,639 342 76 1 362 8 296
5 42 0 11 0 0 30 4 0 17 7 34 62 15 3 0 22 1 368 42 14 0 45 2 35
24 225 6 90 2 0 115 22 0 158 32 95 365 70 56 1 55 7 2,065 278 53 1 309 6 248
3 23 1 2 0 0 9 1 0 9 1 2 40 5 4 0 6 1 206 22 9 0 8 0 13
0 0 0 0 0 0 0 0 0 0 3 0 2 0 1 0 1 0 16 1 1 0 1 0 0
1,214
0
0
0
0
0
0
0
0
0
0
10,683 72,908 23,960 1,167 5,224 4,273 2,096 3,421 6,782 1,446 12,959 472 1,836 8,501 4,763 10,045
8 270 19 1 6 1 0 2 3 1 12 0 3 44 28 16
0 6 1 0 0 0 0 1 0 0 0 0 0 0 0 0
0 24 0 0 2 0 0 0 0 0 4 0 0 4 4 1
1 100 5 1 0 0 0 0 0 0 2 0 2 2 0 0
7 140 13 0 4 1 0 1 3 1 6 0 1 38 24 15
107 2,288 437 20 108 17 4 89 55 5 218 0 66 258 36 106
16 439 13 0 12 1 0 5 7 3 29 0 3 32 4 4
90 1,721 410 20 87 16 4 79 46 2 185 0 59 219 29 99
1 128 14 0 9 0 0 5 2 0 4 0 4 7 3 3
0 6 0 0 2 0 0 0 1 0 0 0 0 0 0 2
4,935 9,574 3,062 4,404 4,898 891 7,996 9,747 54,096 7,805 4,037 2,653 19,293 7,318 8,136 14,258
12 16 3 9 2 1 9 40 175 23 4 9 2 23 17 88
0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0
1 0 0 2 0 0 0 3 6 1 0 0 0 0 0 2
0 6 0 3 1 1 1 14 96 9 1 1 1 0 0 13
11 10 3 4 1 0 8 23 70 12 3 8 1 23 17 73
26 174 35 172 61 40 48 371 1,799 185 95 46 149 74 86 545
6 22 3 27 15 5 7 39 281 20 3 6 31 13 7 86
20 141 30 124 44 35 40 299 1,291 153 87 39 110 55 73 459
0 11 2 21 2 0 1 33 227 12 5 1 8 6 6 0
0 0 1 1 0 0 0 1 7 0 0 0 0 0 0 4
16,894
43
0
4
9
30
359
24
324
11
1
5,751 6,065 12,283 6,199 2,260 7,384 9,256 18,317 8,001 977
4 22 44 13 7 13 31 55 20 1
0 0 0 0 0 0 0 0 0 0
0 1 0 0 1 2 0 12 3 0
0 1 11 0 1 5 3 26 7 0
4 20 33 13 5 6 28 17 10 1
26 98 315 126 37 111 163 663 199 19
8 23 30 9 8 13 31 72 23 0
17 74 270 110 29 94 119 572 161 19
1 1 15 7 0 4 13 19 15 0
0 1 8 0 0 0 8 5 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 173 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Carroll Township, York County............................. Castle Shannon ........................ Catasauqua............................... Catawissa.................................. Cecil Township......................... Center Township...................... Centerville................................ Central Berks Regional .......... Chalfont.................................... Chambersburg ......................... Chartiers Township ................. Cheltenham Township ............ Chester...................................... Chester Township .................... Cheswick................................... Chippewa Township ................ Christiana ................................. Churchill ................................... Clarion ...................................... Clay Township.......................... Clearfield.................................. Cleona....................................... Clifton Heights ........................ Coal Township ......................... Coatesville................................ Colebrookdale District ........... Collegeville .............................. Collier Township...................... Collingdale ............................... Colonial Regional ................... Columbia .................................. Colwyn...................................... Conemaugh Township, Cambria County ...................... Conewago Township, Adams County......................... Conewango Township ............. Conneaut Lake Regional ....... Connellsville ............................ Conoy Township ...................... Conyngham .............................. Coplay....................................... Coraopolis ................................ Cornwall ................................... Corry ......................................... Covington Township ............... Crafton...................................... Cranberry Township................ Cresson Township.................... Croyle Township...................... Cumberland Township, Adams County......................... Cumberland Township, Greene County ........................ Cumru Township ..................... Curwensville ............................ Dale........................................... Dallas ........................................ Dallas Township....................... Danville .................................... Darby ........................................ Darby Township....................... Darlington Township............... Decatur Township ................... Delaware Water Gap .............. Delmont.................................... Denver ...................................... Derry Township, Dauphin County ...................... Dickson City ............................ Donegal Township................... Donora...................................... Dormont ................................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
5,383 8,099 6,562 1,544 10,456 11,804 3,242 7,489 4,243 17,958 7,239 36,403 36,799 4,594 1,751 9,815 1,083 3,267 5,141 5,766 6,240 2,104 6,586 10,277 11,744 6,462 5,011 6,235 8,440 19,420 10,034 2,375
5 20 15 1 5 18 1 5 0 104 5 110 945 51 0 0 2 37 3 2 20 3 43 29 169 7 7 12 102 15 24 13
0 0 0 0 0 0 0 0 0 0 0 0 27 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 1 0 0 0 3 1 5 25 3 0 0 0 0 0 0 3 2 1 0 3 1 0 1 4 2 4 1
2 3 3 0 0 5 1 3 0 41 1 74 231 13 0 0 0 1 1 1 3 0 10 1 78 0 3 3 22 8 5 7
3 17 12 1 5 12 0 2 0 60 3 31 662 34 0 0 2 36 2 1 14 1 32 28 88 6 4 8 76 4 15 5
163 161 195 51 38 337 18 179 37 881 64 1,103 1,330 23 14 205 14 41 74 14 374 9 197 188 564 160 109 185 267 518 236 46
35 23 16 8 18 36 2 30 0 143 4 190 437 11 4 35 4 3 11 7 48 1 16 27 150 11 9 7 34 33 45 18
123 125 165 43 20 292 15 120 37 703 57 826 635 5 10 164 10 37 62 5 321 8 166 148 344 142 97 169 216 472 174 21
5 13 14 0 0 9 1 29 0 35 3 87 258 7 0 6 0 1 1 2 5 0 15 13 70 7 3 9 17 13 17 7
1 1 0 0 0 2 0 1 0 7 0 1 31 0 0 1 1 0 0 0 0 0 1 0 1 0 0 1 0 1 1 0
2,507
6
0
0
0
6
30
3
25
2
0
6,184 3,647 3,539 8,526 3,288 1,844 3,381 5,610 3,460 6,451 2,154 6,138 28,084 4,239 2,262
4 6 6 28 3 0 2 65 1 36 4 15 51 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 2 0 6 0 0 1 1 0 2 0 1 0 0 0
0 1 0 11 0 0 0 7 0 0 1 4 11 0 0
1 3 6 11 3 0 1 57 1 34 3 10 40 0 0
92 143 90 328 37 5 64 134 4 79 62 138 366 14 14
3 26 14 55 17 0 6 37 2 14 10 16 39 4 0
86 117 73 253 16 5 58 92 2 61 49 117 318 10 13
3 0 3 20 4 0 0 5 0 4 3 5 9 0 1
1 2 0 0 0 0 0 0 0 0 0 1 3 0 0
6,377
4
0
2
0
2
35
22
12
1
0
6,492 17,595 2,505 1,384 2,493 8,424 4,530 9,967 9,615 2,040 3,089 831 2,473 3,700
20 14 17 5 1 14 15 405 31 0 4 0 1 4
0 1 0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 0 3 2 5 0 0 0 0 0 0
0 8 0 1 1 1 1 58 8 0 0 0 0 1
20 5 17 4 0 9 12 342 23 0 4 0 1 3
121 370 82 21 25 66 222 467 107 1 58 0 40 51
18 41 12 5 2 21 39 156 13 1 3 0 3 8
98 292 67 16 21 37 179 244 70 0 55 0 36 40
5 37 3 0 2 8 4 67 24 0 0 0 1 3
0 2 1 0 0 1 1 3 0 0 0 0 0 0
21,923 5,916 2,574 5,317 8,467
69 4 4 37 54
0 0 0 0 0
3 0 1 9 1
9 0 0 2 6
57 4 3 26 47
655 445 18 81 140
85 22 4 13 20
547 414 13 60 114
23 9 1 8 6
8 0 0 1 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
174
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Douglass Township, Montgomery County............... Downingtown .......................... Doylestown .............................. Doylestown Township............. Dublin Borough....................... Du Bois..................................... Dunbar...................................... Duncannon............................... Duncansville ............................ Dupont...................................... Duquesne ................................. Earl Township .......................... East Buffalo Township............ East Cocalico Township.......... East Conemaugh ..................... East Coventry Township......... Eastern Adams Regional........ East Fallowfield Township...... East Franklin Township .......... East Hempfield Township ...... East Lampeter Township........ East Lansdowne ...................... East McKeesport..................... East Norriton Township.......... East Norwegian Township...... Easton ....................................... East Pennsboro Township ...... East Petersburg........................ East Pikeland Township.......... East Rochester......................... East Taylor Township .............. Easttown Township ................. East Vincent Township ........... East Washington ...................... East Whiteland Township ....... Ebensburg ................................ Economy................................... Eddystone ................................ Edgewood ................................ Edgeworth................................ Edinboro .................................. Edwardsville ............................ Elizabethtown.......................... Elizabeth Township ................. Elkland ..................................... Ellwood City ............................ Emmaus.................................... Ephrata ..................................... Ephrata Township ................... Erie............................................ Etna........................................... Everett ...................................... Exeter ....................................... Exeter Township, Berks County ........................... Exeter Township, Luzerne County....................... Fairview Township, Luzerne County....................... Fairview Township, York County............................. Fallowfield Township .............. Falls Township, Bucks County........................... Fawn Township ........................ Ferguson Township.................. Ferndale.................................... Findlay Township..................... Fleetwood................................. Folcroft ..................................... Ford City................................... Forest City ................................ Forest Hills ............................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
10,323 7,924 8,208 18,847 2,182 7,757 1,157 1,503 1,181 2,601 6,705 6,918 5,939 10,398 1,186 6,236 9,083 7,343 3,981 23,212 14,910 2,495 2,816 13,485 797 26,207 19,894 4,327 6,849 573 2,571 10,503 6,589 1,877 10,632 2,880 9,192 2,361 3,018 1,582 6,646 4,688 11,900 12,837 1,685 8,064 11,414 13,067 9,557 101,812 3,578 1,869 5,995
13 30 19 15 4 32 0 2 2 8 88 1 5 4 6 1 0 18 0 27 30 41 3 10 0 156 16 3 8 2 0 5 5 6 7 1 2 33 7 0 6 69 11 48 3 34 9 30 7 543 16 2 17
0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 1
0 2 1 1 0 6 0 1 0 0 5 0 2 0 0 1 0 0 0 6 3 1 0 2 0 14 1 1 1 0 0 0 1 2 0 0 1 1 1 0 0 2 3 0 0 2 0 3 0 75 0 0 1
2 7 4 6 0 2 0 0 0 0 32 1 0 2 0 0 0 0 0 9 14 18 0 6 0 69 8 0 4 2 0 1 2 1 3 1 1 7 5 0 1 13 2 1 0 7 2 12 1 264 3 0 1
11 21 14 8 4 24 0 1 2 8 50 0 3 2 6 0 0 18 0 12 12 22 3 2 0 68 4 2 3 0 0 4 2 3 4 0 0 25 1 0 5 53 6 47 3 25 7 15 6 201 13 2 14
116 320 244 254 9 319 3 28 27 52 397 68 22 115 4 44 4 81 33 573 790 118 14 319 3 1,074 295 91 152 41 0 124 70 29 144 124 29 247 277 1 106 195 195 118 22 241 295 287 161 3,068 146 39 120
5 34 18 30 2 19 1 2 1 3 147 30 5 22 1 11 0 22 1 112 61 34 7 24 0 141 45 25 19 3 0 19 18 6 20 9 4 7 15 0 25 18 29 18 8 35 33 67 25 831 32 5 22
101 260 216 205 7 285 2 23 25 46 203 33 16 82 3 32 4 57 32 436 703 72 7 274 3 826 245 65 125 37 0 97 46 18 118 112 25 232 259 1 80 162 160 91 14 200 252 199 126 2,062 97 25 90
10 26 10 19 0 15 0 3 1 3 47 5 1 11 0 1 0 2 0 25 26 12 0 21 0 107 5 1 8 1 0 8 6 5 6 3 0 8 3 0 1 15 6 9 0 6 10 21 10 175 17 9 8
0 0 1 0 0 1 0 2 0 0 5 3 0 1 0 0 0 2 0 5 1 0 0 0 0 13 2 4 1 0 0 1 0 0 1 0 0 3 0 0 1 1 2 0 0 8 8 2 1 44 1 0 2
27,080
25
0
1
8
16
557
41
491
25
1
2,557
1
0
0
0
1
13
1
8
4
1
4,321
8
0
2
1
5
37
5
32
0
0
16,630 4,242
28 11
0 0
3 0
2 1
23 10
325 49
45 16
268 25
12 8
0 2
34,033 2,324 16,302 1,685 5,053 4,029 6,878 3,190 1,765 6,271
58 8 13 0 9 4 42 7 1 8
1 0 0 0 0 0 0 0 0 1
3 0 2 0 0 0 4 0 0 0
33 0 4 0 0 0 2 1 0 2
21 8 7 0 9 4 36 6 1 5
887 22 169 1 60 70 136 84 15 49
81 6 18 1 7 7 18 6 3 15
720 14 139 0 49 62 95 76 12 32
86 2 12 0 4 1 23 2 0 2
5 0 0 0 0 0 0 1 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 175 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Forks Township........................ Forty Fort ................................. Foster Township....................... Fountain Hill ............................ Fox Chapel ............................... Franklin .................................... Franklin Park ........................... Freedom.................................... Freemansburg .......................... Freeport .................................... Gaines Township ..................... Galeton ..................................... Gallitzin .................................... Gettysburg................................ Girard ....................................... Glenolden................................. Granville Township ................. Greencastle .............................. Greenfield Township, Blair County............................. Greensburg .............................. Green Tree ............................... Greenville................................. Greenwood Township ............. Grove City................................ Halifax Regional...................... Hamburg................................... Hamiltonban Township........... Hampden Township ................ Hampton Township ................. Hanover.................................... Hanover Township, Luzerne County....................... Hanover Township, Washington County................. Harleton ................................... Harmar Township.................... Harmony Township ................. Harrisburg ................................ Harrison Township .................. Hastings .................................... Hatboro .................................... Hatfield Township ................... Haverford Township ............... Heidelberg Township, Berks County ........................... Heidelberg Township, Lebanon County...................... Hellam Township..................... Hemlock Township.................. Hermitage................................. Highland Township ................. Highspire .................................. Hilltown Township .................. Hollidaysburg .......................... Homestead ............................... Honesdale ................................ Honey Brook Township.......... Horsham Township ................. Hughesville .............................. Hummelstown.......................... Huntingdon .............................. Independence Township, Beaver County......................... Indiana...................................... Indiana Township .................... Industry .................................... Ingram....................................... Irwin.......................................... Ivyland ...................................... Jackson Township, Butler County .......................... Jackson Township, Luzerne County....................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
14,452 4,273 4,304 4,602 5,144 6,758 11,908 1,624 2,007 1,818 569 1,263 1,908 8,194 2,991 7,261 4,915 4,036
4 7 3 10 0 19 3 13 0 3 0 8 2 32 7 20 5 11
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 2 1 1 0 1 1 1 0 0 0 2 0 3 0 0 0 0
0 1 0 1 0 1 0 0 0 0 0 0 0 14 1 8 1 3
2 4 2 8 0 17 2 12 0 3 0 6 2 15 6 12 4 8
151 82 28 116 29 203 63 60 51 23 4 27 28 173 33 164 122 118
6 14 8 18 6 33 16 9 4 5 1 0 3 33 2 16 18 20
140 66 18 85 23 166 47 43 44 17 3 26 25 134 31 145 97 94
5 2 2 13 0 4 0 8 3 1 0 1 0 6 0 3 7 4
0 0 1 2 0 0 1 0 0 0 0 0 0 1 0 1 2 0
3,779 15,567 4,353 6,263 2,046 7,644 4,168 4,209 2,739 26,612 17,139 15,079
9 26 5 22 0 7 0 20 1 14 6 30
0 0 0 0 0 0 0 0 0 0 0 0
3 6 0 4 0 2 0 1 0 1 0 3
0 4 4 0 0 0 0 3 0 4 1 10
6 16 1 18 0 5 0 16 1 9 5 17
155 547 56 113 0 138 10 110 6 111 221 614
15 64 6 19 0 22 3 24 2 22 51 85
134 463 45 94 0 115 6 77 2 80 161 511
6 20 5 0 0 1 1 9 2 9 9 18
1 0 0 3 0 0 0 0 0 0 0 3
11,060
12
0
3
3
6
316
45
260
11
1
2,752 265 3,018 3,111 46,924 10,016 1,312 7,177 20,241 48,434
27 0 5 3 734 20 12 29 22 27
0 0 0 0 12 1 0 0 0 0
0 0 0 0 52 8 0 2 4 2
0 0 0 0 443 3 0 3 3 18
27 0 5 3 227 8 12 24 15 7
61 1 91 99 2,297 139 29 149 251 606
5 0 8 13 576 36 10 37 32 83
53 0 77 81 1,556 94 16 107 202 505
3 1 6 5 165 9 3 5 17 18
0 0 0 0 40 0 1 1 9 0
1,774
1
0
0
0
1
9
3
6
0
0
4,113 9,139 2,214 16,576 1,210 2,585 13,175 5,563 3,476 4,795 7,140 24,947 2,067 4,386 6,815
0 15 3 22 0 14 18 14 76 13 3 17 0 7 6
0 0 0 0 0 0 0 0 2 1 0 0 0 0 0
0 3 1 2 0 0 1 0 4 3 1 0 0 1 0
0 2 1 9 0 2 2 5 33 0 0 8 0 2 0
0 10 1 11 0 12 15 9 37 9 2 9 0 4 6
21 97 178 705 4 44 210 106 342 125 7 317 22 57 109
3 12 8 72 1 5 42 20 53 13 3 40 3 6 13
17 74 166 623 3 38 153 80 260 105 4 259 19 51 95
1 11 4 10 0 1 15 6 29 7 0 18 0 0 1
0 0 1 3 0 2 1 0 0 1 0 0 0 0 0
2,736 14,792 6,947 1,821 3,389 4,116 882
0 36 5 10 18 5 0
0 0 0 1 0 0 0
0 4 3 1 2 1 0
0 6 0 0 1 0 0
0 26 2 8 15 4 0
39 278 86 40 58 95 1
7 66 21 9 10 16 0
28 207 63 27 44 79 1
4 5 2 4 4 0 0
0 1 2 0 0 0 0
3,841
4
0
0
1
3
42
4
38
0
0
4,597
0
0
0
0
0
17
8
7
2
0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
176
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Jeannette .................................. Jenkins Township..................... Jermyn ...................................... Jersey Shore ............................. Jim Thorpe ............................... Johnsonburg ............................. Johnstown................................. Kane.......................................... Kennedy Township .................. Kennett Square........................ Kidder Township ..................... Kingston ................................... Kingston Township.................. Kiskiminetas Township ........... Kline Township ........................ Knox.......................................... Koppel ...................................... Kutztown .................................. Laflin Borough ........................ Lake City .................................. Lamar Township ...................... Lancaster .................................. Lancaster Township, Lancaster County .................... Lansdale ................................... Lansdowne ............................... Lansford ................................... Latrobe ..................................... Lawrence Park Township ....... Lawrence Township, Clearfield County .................... Lawrence Township, Tioga County ........................... Lebanon.................................... Leetsdale .................................. Leet Township.......................... Lehighton ................................. Lehigh Township, Northampton County ............. Lehman Township ................... Lewisburg ................................. Liberty ...................................... Liberty Township, Bedford County....................... Ligonier .................................... Limerick Township.................. Lincoln...................................... Lititz.......................................... Littlestown ............................... Lock Haven.............................. Locust Township...................... Logan Township....................... Loretto...................................... Lower Allen Township............ Lower Burrell .......................... Lower Frederick Township..... Lower Gwynedd Township .... Lower Heidelberg Township.. Lower Makefield Township.... Lower Merion Township ........ Lower Milford Township ........ Lower Moreland Township .... Lower Paxton Township ......... Lower Pottsgrove Township... Lower Providence Township .................................. Lower Salford Township......... Lower Saucon Township......... Lower Southampton Township .................................. Lower Swatara Township ....... Lower Windsor Township....... Luzerne Township ................... Madison Township................... 1 The
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
10,021 4,951 2,230 4,360 4,898 2,747 23,609 3,828 9,313 5,294 1,386 13,036 7,069 4,801 1,491 1,110 788 5,075 1,503 2,985 2,433 54,562
70 3 19 8 7 2 145 2 35 10 11 28 13 4 4 27 4 15 1 7 0 515
1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 5
0 0 0 4 1 0 3 0 3 1 3 2 1 0 2 1 1 1 0 1 0 38
4 0 6 1 0 1 57 0 4 4 0 14 0 0 1 0 1 3 0 0 0 241
65 3 13 3 6 1 84 2 28 5 8 12 12 4 1 25 2 10 1 6 0 231
236 107 53 137 122 68 864 13 185 136 153 306 74 72 26 142 64 190 25 40 8 3,252
74 18 21 17 16 34 262 0 20 16 22 48 10 9 2 9 13 32 6 15 1 556
162 83 31 112 105 33 546 13 151 108 129 240 60 59 23 133 50 152 16 24 6 2,441
0 6 1 8 1 1 56 0 14 12 2 18 4 4 1 0 1 6 3 1 1 255
1 4 0 0 1 0 7 0 0 4 0 0 1 0 0 1 1 0 0 0 0 32
14,347 15,669 10,720 4,180 8,504 3,778
34 53 51 11 18 7
0 0 1 0 0 0
5 7 1 0 0 1
19 20 15 1 1 0
10 26 34 10 17 6
348 415 263 30 233 64
61 71 61 7 23 9
256 308 186 19 204 53
31 36 16 4 6 2
6 4 1 2 2 0
7,613
57
1
1
1
54
237
16
217
4
1
1,712 24,144 1,122 1,510 5,489
1 112 0 0 11
0 1 0 0 0
0 13 0 0 2
0 44 0 0 4
1 54 0 0 5
20 768 0 1 199
4 124 0 0 32
16 581 0 1 154
0 63 0 0 13
0 6 0 0 4
10,831 3,308 5,572 2,447
14 8 17 3
0 0 0 0
0 0 0 0
1 0 0 0
13 8 17 3
181 34 73 31
16 13 12 4
155 21 61 23
10 0 0 4
2 0 1 0
1,449 1,633 17,087 1,125 9,029 4,187 8,584 2,518 11,887 1,270 17,701 12,315 4,858 11,368 5,282 32,550 57,691 3,919 11,894 44,961 12,240
0 4 4 0 13 35 18 6 78 0 4 25 2 9 3 10 66 1 5 101 11
0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 2 1 4 6 2 0 3 2 0 0 0 1 2 0 1 4 3
0 1 0 0 1 3 4 0 5 0 1 1 0 0 0 2 42 0 0 38 3
0 3 4 0 10 31 10 0 69 0 0 22 2 9 3 7 22 1 4 58 5
0 24 271 10 137 123 330 53 273 0 236 138 16 178 29 361 1,002 18 167 1,119 256
0 0 31 6 34 21 24 5 53 0 29 31 5 11 4 66 142 4 47 144 43
0 24 229 3 101 98 297 47 217 0 205 105 9 162 25 280 813 13 109 948 206
0 0 11 1 2 4 9 1 3 0 2 2 2 5 0 15 47 1 11 27 7
0 0 2 0 1 1 3 1 2 0 1 3 0 0 0 0 0 0 1 9 1
26,047 14,419 11,360
6 6 15
0 0 0
1 0 2
3 1 1
2 5 12
336 92 100
76 16 13
252 71 83
8 5 4
1 1 1
19,189 8,364 7,847 6,739 1,607
59 12 5 0 0
0 1 0 0 0
4 1 0 0 0
10 5 1 0 0
45 5 4 0 0
424 117 97 31 0
71 17 9 11 0
331 94 66 18 0
22 6 22 2 0
5 0 0 2 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 177 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Mahanoy City .......................... Mahanoy Township ................. Mahoning Township, Carbon County ........................ Main Township......................... Malvern..................................... Manheim................................... Manheim Township ................. Manor Township, Armstrong County .................. Manor Township, Lancaster County .................... Mansfield.................................. Marietta .................................... Marion Center ......................... Marion Township, Berks County ........................... Marlborough Township........... Marple Township ..................... Marysville ................................. Masontown............................... Mayfield.................................... McCandless .............................. McKeesport.............................. McSherrystown........................ Mechanicsburg......................... Media ........................................ Mercer....................................... Mercersburg ............................. Meyersdale ............................... Middleburg............................... Middlesex Township, Cumberland County ............... Middletown .............................. Middletown Township............. Midland .................................... Mifflinburg ............................... Mifflin County Regional......... Mifflin Township...................... Milford...................................... Millcreek Township, Erie County.............................. Millersburg ............................... Millersville................................ Millville..................................... Milton ....................................... Minersville................................ Mohnton ................................... Monaca ..................................... Monessen.................................. Monongahela ........................... Monroeville.............................. Montgomery Township ........... Montoursville........................... Moon Township ....................... Moore Township...................... Moosic....................................... Morrisville ................................ Morton...................................... Moscow..................................... Mount Carmel.......................... Mount Carmel Township ........ Mount Gretna Borough.......... Mount Jewett ........................... Mount Joy................................. Mount Lebanon....................... Mount Oliver ........................... Muhlenberg Township ............ Muncy ....................................... Munhall .................................... Murrysville ............................... Nanticoke ................................. Narberth ................................... Nazareth Area ......................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
4,361 3,592
2 0
0 0
0 0
2 0
0 0
29 1
13 0
16 1
0 0
0 0
4,336 1,305 3,115 4,626 36,069
19 0 2 6 49
0 0 0 0 3
1 0 0 1 1
2 0 0 0 21
16 0 2 5 24
68 1 35 108 827
17 0 7 11 119
48 0 26 92 679
3 1 2 5 29
0 0 0 1 12
3,968
1
0
0
0
1
5
3
2
0
0
18,683 3,245 2,587 422
6 1 5 0
0 0 0 0
2 0 3 0
2 0 0 0
2 1 2 0
179 11 56 0
27 4 14 0
146 6 39 0
6 1 3 0
1 0 0 0
1,659 3,280 23,579 2,454 3,424 1,702 27,339 22,190 2,841 8,771 5,445 2,253 1,556 2,302 1,345
0 4 13 0 11 0 14 299 3 30 18 4 4 1 1
0 0 0 0 0 0 0 6 0 0 0 0 0 0 0
0 1 2 0 1 0 0 12 0 1 1 0 0 0 0
0 0 6 0 6 0 3 70 1 3 7 0 0 0 1
0 3 5 0 4 0 11 211 2 26 10 4 4 1 0
4 32 330 18 80 0 320 799 54 216 23 35 39 3 58
0 8 47 2 10 0 47 278 3 17 10 9 5 1 5
4 21 267 16 59 0 268 453 51 196 11 23 34 2 52
0 3 16 0 11 0 5 68 0 3 2 3 0 0 1
1 0 2 0 0 0 0 6 0 4 2 1 0 0 0
6,868 8,806 47,710 2,898 3,564 26,255 2,266 2,945
8 22 54 5 1 69 0 3
0 0 0 0 0 0 0 0
3 5 2 0 0 6 0 0
3 5 19 0 0 3 0 0
2 12 33 5 1 60 0 3
234 160 1,761 117 9 601 0 23
28 16 182 41 2 73 0 6
198 140 1,505 73 6 511 0 14
8 4 74 3 1 17 0 3
1 4 11 1 0 2 0 0
52,592 2,454 7,204 950 6,377 4,264 3,111 5,833 8,159 4,468 27,659 24,419 4,630 22,623 9,502 5,793 9,706 2,649 1,953 5,914 2,586 234 1,015 7,097 30,543 3,681 18,334 2,486 11,239 19,565 10,261 4,079 6,061
54 11 9 0 17 6 8 22 80 17 104 5 1 26 3 38 45 12 1 29 3 0 3 6 24 69 19 0 16 4 45 4 10
0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0
11 0 5 0 0 0 0 1 2 2 3 0 0 4 0 2 1 0 0 0 0 0 0 2 0 1 0 0 0 0 6 0 1
24 0 2 0 0 0 0 3 7 3 21 4 0 9 0 5 13 2 0 1 0 0 0 2 7 30 16 0 10 2 7 0 1
19 11 2 0 17 6 8 18 71 12 79 1 1 13 3 31 31 10 1 28 3 0 3 1 17 37 2 0 6 2 32 4 8
863 46 83 2 127 44 14 145 299 176 606 617 24 245 50 286 215 96 18 103 16 0 14 139 271 217 625 8 190 134 391 53 114
200 10 29 2 15 4 4 8 67 44 76 30 0 34 8 22 23 6 2 16 3 0 5 20 46 71 59 0 49 18 99 9 14
629 35 51 0 111 37 6 124 210 123 481 574 24 199 39 249 145 85 16 83 12 0 9 111 215 108 502 8 130 111 270 39 97
34 1 3 0 1 3 4 13 22 9 49 13 0 12 3 15 47 5 0 4 1 0 0 8 10 38 64 0 11 5 22 5 3
1 4 0 0 2 0 0 1 2 1 6 1 0 0 0 2 1 0 0 0 1 0 0 0 1 1 2 0 0 0 2 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
178
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Neshannock Township ............ Newberry Township ................ New Brighton........................... New Britain .............................. New Britain Township ............ New Castle Township.............. New Cumberland .................... New Garden Township ........... New Hanover Township ......... New Holland ............................ New Hope ................................ Newport.................................... New Sewickley Township ....... Newtown................................... Newtown Township, Delaware County .................... Newville.................................... Norristown ............................... Northampton ........................... Northampton Township.......... North Belle Vernon................. North Catasauqua ................... North Charleroi ....................... North Cornwall Township ...... North Coventry Township ...... North East, Erie County......... Northern Berks Regional ....... Northern Cambria Borough.................................... Northern Regional .................. Northern York Regional......... North Fayette Township ......... North Franklin Township ....... North Huntingdon Township .................................. North Lebanon Township....... North Londonderry Township .................................. North Middleton Township .... North Sewickley Township..... North Strabane Township....... Northumberland...................... North Union Township ........... North Versailles Township...... North Wales.............................. Northwest Lancaster County Regional ..................... Northwest Lawrence County Regional ..................... Norwood................................... Oakdale .................................... O’Hara Township .................... Ohioville ................................... Oil City ..................................... Old Forge ................................. Oley Township ......................... Oliver Township....................... Orwigsburg............................... Osceola Mills............................ Oxford....................................... Paint Township......................... Palmerton ................................. Palmer Township ..................... Palmyra..................................... Parkesburg ............................... Parkside .................................... Patterson Area......................... Patton........................................ Patton Township ...................... Paxtang ..................................... Pen Argyl.................................. Penbrook .................................. Penn Hills ................................. Pennridge Regional................. 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
9,369 15,563 9,493 2,292 10,795 392 7,084 11,699 9,267 5,152 2,296 1,465 7,722 2,247
2 18 69 11 5 2 1 7 1 3 11 17 6 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 1 0 0 0 0 0 0 0 0 0
2 2 13 0 0 1 1 2 0 2 0 0 1 1
0 16 55 11 4 1 0 5 1 1 11 17 5 2
151 327 573 51 97 24 17 215 63 148 83 78 98 29
16 65 109 10 13 0 1 27 16 51 13 16 27 2
129 239 459 40 82 24 15 178 45 85 68 62 67 26
6 23 5 1 2 0 1 10 2 12 2 0 4 1
3 0 0 0 1 0 0 2 1 1 0 0 0 0
11,894 1,313 30,205 9,818 41,293 1,987 2,861 1,327 6,526 7,698 4,268 12,351
7 0 408 15 10 10 5 0 28 7 8 7
0 0 2 0 0 0 0 0 0 0 0 0
0 0 20 3 3 0 0 0 1 1 1 0
1 0 214 3 3 2 0 0 3 1 2 1
6 0 172 9 4 8 5 0 24 5 5 6
202 41 1,451 194 279 123 58 9 95 286 138 161
27 5 355 29 54 16 10 3 7 25 22 28
169 36 915 156 216 102 43 5 86 252 110 122
6 0 181 9 9 5 5 1 2 9 6 11
0 0 16 3 6 0 0 0 1 0 1 1
3,970 27,442 63,294 12,998 4,681
10 8 42 0 8
0 0 0 0 0
0 0 0 0 0
1 1 14 0 5
9 7 28 0 3
95 314 1,223 296 146
26 30 168 20 16
61 270 970 272 123
8 14 85 4 7
0 0 7 0 0
29,478 10,896
11 59
0 0
0 0
4 5
7 54
399 279
71 43
301 227
27 9
0 3
6,939 10,946 5,729 12,176 3,517 1,248 12,280 3,248
7 4 0 35 7 0 37 2
0 0 0 0 0 0 0 0
1 1 0 1 5 0 2 0
0 1 0 1 1 0 8 0
6 2 0 33 1 0 27 2
131 56 8 218 85 1 276 90
7 10 4 20 22 1 24 11
120 43 4 193 56 0 240 74
4 3 0 5 7 0 12 5
1 0 0 1 0 0 6 1
18,083
9
1
2
3
3
153
3
145
5
0
6,759 5,813 1,441 9,537 3,654 10,762 8,540 3,672 2,068 2,969 1,170 4,738 3,210 5,261 19,673 6,944 3,455 2,195 3,617 1,883 12,839 1,480 3,667 2,891 43,955 10,414
10 19 0 13 11 7 12 2 2 0 1 28 3 20 10 7 5 10 0 1 10 9 7 2 164 9
0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0
1 3 0 0 2 1 0 0 0 0 0 0 0 0 2 0 3 0 0 0 1 0 1 1 11 0
3 3 0 2 0 1 0 0 0 0 0 3 0 0 4 2 1 3 0 0 5 4 2 1 66 2
6 12 0 11 9 5 12 2 2 0 1 25 3 20 4 5 1 7 0 1 4 5 4 0 81 7
89 89 24 100 59 115 17 22 7 33 13 114 11 158 171 87 71 55 97 24 178 36 72 1 1,166 131
35 7 7 15 18 17 1 6 1 2 1 20 3 15 18 9 22 4 9 7 21 5 14 0 348 26
43 76 16 83 37 91 13 16 6 30 12 83 8 140 152 77 43 48 80 16 150 27 54 1 687 96
11 6 1 2 4 7 3 0 0 1 0 11 0 3 1 1 6 3 8 1 7 4 4 0 131 9
2 1 0 0 0 2 0 0 0 1 0 1 1 1 0 1 0 0 1 0 2 1 1 0 20 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 179 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Penn Township, Butler County .......................... Penn Township, Lancaster County .................... Penn Township, Perry County............................ Penn Township, Westmoreland County ............ Penn Township, York County............................. Pequea Township..................... Perkasie .................................... Perryopolis ............................... Peters Township....................... Philadelphia ............................. Phoenixville.............................. Pittsburgh ................................. Plains Township ....................... Pleasant Hills ........................... Plum .......................................... Plumstead Township ............... Plymouth Township, Montgomery County............... Pocono Mountain Regional ................................... Pocono Township..................... Point Township......................... Portage...................................... Port Allegany ........................... Pottstown.................................. Prospect Park........................... Punxsutawney .......................... Pymatuning Township............. Quarryville ............................... Raccoon Township .................. Rankin ...................................... Reading .................................... Reynoldsville ........................... Rice Township.......................... Richland Township, Bucks County........................... Richland Township, Cambria County ...................... Ridgway.................................... Ridley Park .............................. Ridley Township ...................... Roaring Brook Township ....... Roaring Spring......................... Robesonia ................................ Robeson Township .................. Robinson Township, Allegheny County ................... Rochester ................................. Rochester Township................ Roseto....................................... Rosslyn Farms.......................... Ross Township ......................... Rostraver Township ................ Royersford ............................... Rush Township......................... Ryan Township ........................ Rye Township........................... Salem Township, Luzerne County....................... Salisbury Township.................. Sandy Lake............................... Sandy Township ....................... Saxton ....................................... Sayre ......................................... Schuylkill Haven ..................... Scottdale ................................... Scott Township, Allegheny County ................... Scott Township, Columbia County .................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
5,246
1
0
0
0
1
44
10
32
2
2
8,201
14
0
0
1
13
111
13
77
21
0
3,222
7
0
3
1
3
75
14
60
1
0
20,476
8
0
0
1
7
23
17
6
0
0
16,010 4,492 8,709 1,735 20,264 1,435,533 15,962 312,179 10,403 7,767 26,209 11,978
17 5 15 3 11 21,180 50 3,455 26 3 14 6
0 1 0 0 0 392 0 52 0 0 0 0
3 0 1 0 0 956 5 129 3 0 2 2
1 0 4 0 2 10,258 3 1,596 3 3 5 1
13 4 10 3 9 9,574 42 1,678 20 0 7 3
242 51 242 19 153 61,795 338 13,933 145 105 181 160
35 7 26 3 37 11,524 21 3,418 23 12 67 20
202 41 212 16 104 39,167 308 8,977 108 88 109 129
5 3 4 0 12 11,104 9 1,538 14 5 5 11
0 0 0 0 2 1 79 0 0 1 2
16,260
27
1
5
15
6
759
68
654
37
4
35,733 11,468 3,827 2,631 2,228 21,346 6,402 6,046 3,644 2,150 3,277 2,116 81,168 2,582 2,826
98 12 3 0 0 221 23 21 3 10 0 21 752 4 0
3 0 0 0 0 3 0 0 0 0 0 1 6 0 0
16 0 0 0 0 20 0 5 0 0 0 0 41 0 0
27 5 1 0 0 74 0 1 0 1 0 3 385 0 0
52 7 2 0 0 124 23 15 3 9 0 17 320 4 0
897 381 37 52 0 1,193 144 197 110 42 17 55 3,818 10 18
400 47 12 6 0 191 14 22 20 8 1 29 1,183 2 6
429 325 24 42 0 920 124 173 83 32 16 18 1,780 7 12
68 9 1 4 0 82 6 2 7 2 0 8 855 1 0
8 2 1 1 0 23 0 1 0 0 0 0 49 0 0
13,027
9
0
4
0
5
316
20
284
12
0
12,623 4,194 7,029 30,055 1,759 2,280 2,074 7,619
15 24 14 61 4 0 3 6
0 0 0 1 0 0 0 0
1 1 2 3 0 0 2 1
5 0 1 12 0 0 0 1
9 23 11 45 4 0 1 4
603 115 89 541 32 35 16 79
31 27 9 60 8 3 1 24
561 87 75 449 24 32 13 44
11 1 5 32 0 0 2 11
2 0 0 3 0 0 0 1
13,585 3,717 2,917 1,655 425 30,522 11,749 4,316 3,567 2,560 2,511
26 21 5 0 1 46 21 21 2 0 0
0 0 0 0 0 0 4 0 0 0 0
3 3 0 0 0 1 0 3 1 0 0
9 5 1 0 0 17 9 1 1 0 0
14 13 4 0 1 28 8 17 0 0 0
481 278 56 9 1 844 558 92 50 0 10
35 41 11 2 1 142 38 11 8 0 0
421 214 41 7 0 678 501 70 39 0 7
25 23 4 0 0 24 19 11 3 0 3
0 0 0 0 0 1 1 0 0 0 0
4,133 14,006 708 11,602 761 5,554 5,198 4,488
5 6 0 18 0 23 17 15
0 0 0 0 0 2 0 0
1 0 0 1 0 6 3 0
1 4 0 0 0 1 1 0
3 2 0 17 0 14 13 15
58 291 8 242 0 207 112 97
8 26 0 46 0 22 15 12
48 254 8 190 0 180 93 78
2 11 0 6 0 5 4 7
0 0 0 1 0 1 0 0
15,908
22
1
1
9
11
267
40
214
13
0
4,976
0
0
0
0
0
49
0
49
0
0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
180
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Scott Township, Lackawanna County ............... Scranton.................................... Selinsgrove ............................... Seven Springs........................... Seward ...................................... Sewickley.................................. Sewickley Heights ................... Shaler Township....................... Shamokin.................................. Shamokin Dam ........................ Sharon Hill ............................... Sharpsburg ............................... Sharpsville ................................ Shenandoah.............................. Shenango Township, Lawrence County .................... Shillington ................................ Shippensburg ........................... Shippingport ............................ Shiremanstown ........................ Shohola Township ................... Silver Lake Township.............. Silver Spring Township ........... Sinking Spring.......................... Slippery Rock .......................... Smethport................................. Solebury Township .................. Somerset ................................... Souderton ................................. South Abington Township ...... South Beaver Township .......... South Buffalo Township ......... South Centre Township .......... South Coatesville..................... Southern Regional Lancaster County .................... Southern Regional York County............................. South Fayette Township.......... South Fork................................ South Heidelberg Township... South Heights .......................... South Lebanon Township....... South Londonderry Township .................................. South Park Township .............. South Pymatuning Township .................................. South Strabane Township....... Southwestern Regional........... Southwest Greensburg ........... Southwest Mercer County Regional ..................... Southwest Regional ................ South Whitehall Township...... South Williamsport.................. Spring City ............................... Springdale ................................ Springdale Township ............... Springettsbury Township ........ Springfield Township, Bucks County........................... Springfield Township, Delaware County .................... Springfield Township, Montgomery County............... Spring Garden Township ........ Spring Township, Berks County ........................... Spring Township, Centre County ......................... Spring Township, Snyder County ......................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
4,932 72,444 5,339 119 458 3,584 919 28,042 7,396 1,451 5,326 3,281 4,186 5,199
4 227 69 3 0 5 0 14 33 1 26 9 18 13
0 2 0 0 0 0 0 0 0 0 1 0 0 0
0 26 4 0 0 0 0 1 1 1 1 0 3 0
1 99 3 0 0 1 0 1 2 0 11 2 1 2
3 100 62 3 0 4 0 12 30 0 13 7 14 11
13 2,263 228 31 0 73 0 268 74 38 178 63 111 203
3 499 73 1 0 10 0 56 12 2 22 19 6 58
9 1,592 147 30 0 60 0 198 48 35 136 28 96 135
1 172 8 0 0 3 0 14 14 1 20 16 9 10
0 28 4 0 0 0 0 1 1 0 0 0 0 17
7,680 5,047 5,604 223 1,471 2,479 1,772 13,052 3,641 3,248 1,593 9,007 6,428 6,623 9,646 2,875 2,811 1,917 1,075
15 5 1 0 2 0 0 2 3 2 2 7 12 29 19 3 0 3 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0 2 1 2 0 0 1 0
0 1 1 0 0 0 0 2 0 1 0 0 4 3 1 0 0 0 0
15 3 0 0 2 0 0 0 3 1 2 7 6 25 16 3 0 2 3
204 102 45 0 8 18 8 93 73 40 15 72 152 107 164 38 16 117 6
40 12 6 0 2 9 3 4 16 6 3 17 27 10 28 5 4 17 3
161 73 39 0 5 7 4 85 50 32 11 54 121 90 135 32 10 96 3
3 17 0 0 1 2 1 4 7 2 1 1 4 7 1 1 2 4 0
0 0 0 0 0 0 0 0 1 1 0 1 1 0 3 0 1 0 0
3,825
2
0
0
0
2
36
6
26
4
0
9,873 13,174 1,046 7,146 501 8,622
15 25 8 10 0 4
0 0 0 0 0 0
1 1 0 0 0 0
10 2 1 0 0 0
4 22 7 10 0 4
197 68 2 74 0 129
21 15 0 7 0 12
169 50 0 60 0 113
7 3 2 7 0 4
0 3 0 3 0 1
7,124 13,953
3 1
0 0
0 0
0 0
3 1
55 37
5 10
50 23
0 4
0 2
2,841 8,762 17,840 2,241
0 18 25 3
0 0 0 0
0 1 8 0
0 5 2 0
0 12 15 3
0 364 219 60
0 21 34 5
0 337 175 55
0 6 10 0
0 0 0 0
11,421 2,180 19,486 6,064 3,410 3,507 1,655 24,663
23 1 30 10 10 10 2 50
0 0 0 0 0 0 0 0
3 0 0 0 2 0 0 6
8 0 14 2 1 1 0 28
12 1 16 8 7 9 2 16
130 0 738 146 110 28 4 1,166
27 0 66 34 35 6 0 86
84 0 658 106 73 18 3 1,052
19 0 14 6 2 4 1 28
1 0 2 0 0 0 0 10
5,099
1
0
0
0
1
48
17
26
5
1
22,935
29
0
1
16
12
751
66
652
33
0
19,003 11,876
13 39
0 1
0 0
5 23
8 15
215 392
22 58
181 307
12 27
0 1
26,659
16
0
2
10
4
345
37
273
35
1
6,720
1
0
0
0
1
81
1
77
3
0
1,563
0
0
0
0
0
6
1
3
2
0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 181 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
State College ............................ St. Clair Boro ........................... St. Clair Township.................... Steelton..................................... Stewartstown............................ St. Marys City........................... Stoneboro ................................. Stonycreek Township .............. Strasburg .................................. Stroud Area Regional ............. Sugarcreek................................ Sugarloaf Township, Luzerne County....................... Summerhill Township ............. Summit Township .................... Sunbury .................................... Susquehanna Regional ........... Susquehanna Township, Dauphin County ...................... Swarthmore.............................. Swatara Township.................... Sweden Township .................... Swissvale................................... Swoyersville ............................. Tamaqua ................................... Tarentum .................................. Tatamy ...................................... Telford ...................................... Throop ...................................... Tidioute .................................... Tilden Township....................... Tinicum Township, Bucks County........................... Tinicum Township, Delaware County .................... Titusville ................................... Towamencin Township............ Towanda ................................... Tredyffrin Township ................ Troy ........................................... Tullytown.................................. Tulpehocken Township ........... Tunkhannock ........................... Tunkhannock Township, Wyoming County..................... Turtle Creek ............................. Ulster Township....................... Union Township, Lawrence County .................... Upland ...................................... Upper Allen Township............ Upper Chichester Township .................................. Upper Darby Township .......... Upper Dublin Township ......... Upper Gwynedd Township .... Upper Leacock Township....... Upper Makefield Township.... Upper Merion Township ........ Upper Moreland Township .... Upper Nazareth Township ..... Upper Perkiomen.................... Upper Pottsgrove Township .................................. Upper Providence Township, Delaware County ...................................... Upper Providence Township, Montgomery County ...................................... Upper Saucon Township......... Upper Southampton Township .................................. Upper St. Clair Township ....... Upper Uwchlan Township...... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
52,047 3,052 1,362 5,576 2,047 13,614 1,038 2,959 2,734 35,211 5,033
43 4 0 36 2 9 1 10 0 91 5
0 1 0 0 0 0 0 0 0 1 0
4 0 0 5 0 2 0 0 0 9 0
15 0 0 19 2 2 0 0 0 41 0
24 3 0 12 0 5 1 10 0 40 5
940 59 2 212 14 248 15 46 37 1,231 79
104 4 2 45 2 60 1 11 0 143 2
824 55 0 153 10 183 14 34 35 1,035 77
12 0 0 14 2 5 0 1 2 53 0
11 0 0 2 0 3 1 1 0 9 0
3,975 2,618 2,278 9,855 6,533
3 1 4 102 6
0 0 0 0 0
0 0 0 14 0
3 0 0 2 1
0 1 4 86 5
187 34 9 259 84
5 4 2 30 20
177 26 7 210 59
5 4 0 19 5
1 0 0 8 0
22,905 6,148 22,281 741 8,811 7,649 6,633 4,558 1,106 4,629 3,996 732 3,825
41 8 192 0 94 30 8 28 0 5 5 0 2
1 0 0 0 0 0 1 0 0 0 0 0 0
9 0 1 0 0 2 3 3 0 4 1 0 0
20 1 26 0 25 0 0 1 0 0 0 0 0
11 7 165 0 69 28 4 24 0 1 4 0 2
406 82 737 0 260 137 266 318 12 88 42 11 66
50 9 113 0 86 21 23 34 0 20 7 1 6
346 68 603 0 171 107 241 269 12 63 33 10 58
10 5 21 0 3 9 2 15 0 5 2 0 2
2 0 14 0 0 0 2 3 0 1 0 0 0
4,265
1
0
0
0
1
43
7
35
1
0
4,226 5,759 17,812 2,885 29,002 1,479 1,981 3,588 1,801
37 7 17 5 22 1 7 0 5
0 0 0 0 0 0 0 0 1
0 2 0 2 2 0 0 0 1
4 1 2 3 4 0 1 0 1
33 4 15 0 16 1 6 0 2
241 247 180 92 448 23 48 14 26
10 28 11 22 61 1 6 7 10
205 210 162 65 371 21 39 7 13
26 9 7 5 16 1 3 0 3
1 0 2 0 1 0 1 0 0
4,332 5,569 1,299
0 2 0
0 0 0
0 0 0
0 1 0
0 1 0
63 4 7
13 0 1
48 4 6
2 0 0
1 0 0
5,102 2,965 17,802
4 22 0
0 0 0
0 1 0
4 4 0
0 17 0
138 97 1
10 29 1
122 64 0
6 4 0
0 0 0
17,623 79,020 26,138 15,870 8,449 8,668 26,680 24,398 5,669 6,464
63 326 56 9 9 7 24 25 5 16
1 5 0 0 0 0 0 0 0 0
2 18 5 2 1 0 2 0 0 0
20 207 4 2 3 0 10 7 0 2
40 96 47 5 5 7 12 18 5 14
510 2,355 304 151 122 55 1,588 458 77 165
67 279 29 22 29 18 104 65 2 23
402 1,876 258 126 85 37 1,426 365 75 126
41 200 17 3 8 0 58 28 0 16
7 9 0 4 0 0 1 1 0 0
5,161
8
0
0
1
7
71
13
51
7
0
11,232
3
0
0
0
3
71
12
57
2
1
19,373 14,725
2 7
0 0
1 1
0 1
1 5
290 218
42 19
237 195
11 4
0 0
15,404 18,927 10,022
13 3 1
0 0 0
0 1 0
3 1 0
10 1 1
198 125 86
46 9 14
137 111 69
15 5 3
0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
182
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Upper Yoder Township........... Uwchlan Township .................. Valley Township....................... Vandergrift ............................... Vandling.................................... Vernon Township..................... Verona ...................................... Walnutport ............................... Warminster Township ............. Warren ...................................... Warrington Township.............. Warwick Township, Bucks County........................... Warwick Township, Lancaster County .................... Washington, Washington County................. Washington Township, Fayette County ........................ Washington Township, Franklin County....................... Washington Township, Northampton County ............. Washington Township, Westmoreland County ............ Watsontown ............................. Waynesburg.............................. Weatherly ................................. Wellsboro ................................. Wernersville ............................. West Brandywine Township ... West Caln Township................ West Chester ............................ West Cocalico Township ......... West Cornwall Township ........ West Deer Township ............... West Earl Township................. Westfall Township.................... West Goshen Township........... West Hazleton.......................... West Hempfield Township ..... West Homestead...................... West Lampeter Township ....... West Lebanon Township......... West Manchester Township.... West Manheim Township ....... West Mead Township .............. West Norriton Township......... West Nottingham Township ... West Penn Township ............... West Pikeland Township......... West Pike Run ......................... West Pittston ............................ West Reading ........................... West Sadsbury Township ........ West Salem Township ............. West Shore Regional............... Westtown-East Goshen Regional ................................... West View................................. West Vincent Township........... West Whiteland Township ...... West Wyoming ......................... West York ................................. Whitaker Borough .................. Whitehall .................................. Whitehall Township................. Whitemarsh Township ............ Whitpain Township.................. Wiconisco Township................ Wilkes-Barre ............................ Wilkes-Barre Township .......... Wilkinsburg .............................. Wilkins Township .................... 1 The
Population
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
5,580 18,689 6,445 5,088 705 5,398 2,857 2,170 33,777 9,519 23,208
2 29 14 16 0 18 7 0 47 172 27
0 0 0 0 0 0 0 0 2 0 0
0 1 0 1 0 0 0 0 7 2 4
1 2 1 1 0 1 3 0 18 1 2
1 26 13 14 0 17 4 0 20 169 21
20 244 19 10 0 67 140 55 618 242 324
1 43 4 4 0 10 14 4 116 34 48
19 193 11 6 0 55 114 51 448 207 270
0 8 4 0 0 2 12 0 54 1 6
0 15 0 0 0 8 0 0 3 0 1
15,086
2
0
0
1
1
121
22
94
5
1
17,362
7
0
0
2
5
79
13
61
5
0
14,710
103
1
21
46
35
689
120
471
98
4
4,186
10
0
0
0
10
45
10
34
1
0
11,942
12
0
2
5
5
321
43
266
12
5
4,898
7
0
0
0
7
75
26
43
6
1
7,476 2,100 4,169 2,608 3,293 2,504 7,756 8,237 18,276 7,150 1,983 12,002 7,465 2,933 21,255 3,334 16,026 2,008 15,539 840 18,181 7,178 5,119 14,642 2,799 4,233 4,113 1,848 4,883 4,086 2,512 3,389 6,619
5 10 4 22 5 2 2 9 114 1 1 15 2 20 45 6 14 39 8 9 46 7 0 41 0 0 7 0 7 17 6 1 6
0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 18 1 0 0 0 2 2 0 0 1 1 0 2 1 0 3 0 0 0 0 0 0 2 0 0
2 1 0 1 0 2 0 0 37 0 1 0 2 1 6 3 9 12 4 2 18 1 0 13 0 0 0 0 0 2 0 0 3
3 9 4 21 5 0 2 9 58 0 0 15 0 17 35 3 5 26 3 7 26 4 0 25 0 0 7 0 7 15 4 1 3
49 61 79 87 42 45 64 53 429 38 6 114 97 164 468 68 237 63 184 99 688 56 0 340 0 0 32 9 95 182 75 28 9
11 4 12 20 7 7 11 12 75 9 1 33 15 8 60 27 36 17 37 1 67 4 0 22 0 0 9 1 19 28 0 8 2
35 55 67 65 35 36 47 39 320 25 4 74 80 145 390 35 189 38 135 97 595 43 0 300 0 0 23 8 73 136 73 18 6
3 2 0 2 0 2 6 2 34 4 1 7 2 11 18 6 12 8 12 1 26 9 0 18 0 0 0 0 3 18 2 2 1
0 1 1 0 0 0 1 0 1 1 0 0 2 0 2 0 0 0 0 0 4 0 0 0 0 0 1 1 1 0 0 0 0
31,691 6,704 4,180 18,480 2,698 4,219 1,224 13,439 26,917 17,422 18,799 1,102 41,050 3,060 17,583 6,453
49 9 1 11 0 10 6 13 40 20 24 0 193 17 193 9
0 0 0 1 0 0 0 0 0 0 1 0 3 0 2 0
3 0 0 3 0 0 0 2 3 3 3 0 19 0 6 0
4 1 0 3 0 9 4 4 23 6 3 0 110 10 71 4
42 8 1 4 0 1 2 7 14 11 17 0 61 7 114 5
273 179 39 516 43 81 53 60 1,327 261 258 4 1,683 750 595 156
35 14 13 28 5 14 13 9 87 43 47 1 373 18 220 22
229 158 26 476 37 62 34 50 1,205 213 195 3 1,194 719 262 126
9 7 0 12 1 5 6 1 35 5 16 0 116 13 113 8
2 4 0 0 0 0 0 2 2 2 1 0 13 2 10 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 183 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
RHODE ISLAND
SOUTH CAROLINA
1 The
City
Population
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Williamsburg ............................ Williamsport............................. Willistown Township ............... Windber .................................... Wind Gap ................................. Womelsdorf .............................. Wright Township ..................... Wyoming .................................. Wyomissing .............................. Yardley...................................... Yeadon...................................... York .......................................... York Area Regional ................ Youngsville............................... Zelienople ................................ Barrington ................................ Burrillville ................................ Central Falls ............................. Charlestown ............................. Coventry ................................... Cranston ................................... East Greenwich ....................... East Providence....................... Foster ........................................ Glocester .................................. Hopkinton ................................ Jamestown ................................ Johnston.................................... Lincoln...................................... Little Compton ........................ Middletown .............................. Narragansett............................. Newport.................................... New Shoreham ........................ North Kingstown ..................... North Providence .................... North Smithfield...................... Portsmouth ............................... Providence7 .............................. Scituate ..................................... Smithfield ................................. South Kingstown ..................... Tiverton .................................... Warren ...................................... Westerly .................................... West Greenwich ...................... West Warwick...........................
1,260 29,701 10,861 4,043 2,815 2,823 5,834 3,020 10,464 2,532 11,440 40,339 57,252 1,689 4,008 16,414 16,392 18,818 8,131 34,353 80,724 13,338 48,668 4,467 10,498 7,976 5,484 28,585 21,855 3,510 16,278 16,552 24,192 1,023 26,475 32,685 11,183 16,853 173,719 10,814 21,495 29,172 15,074 11,089 23,197 6,371 29,293
1 98 8 10 5 8 0 3 8 2 93 440 111 2 16 3 17 114 6 30 111 5 59 3 2 11 2 25 21 1 14 12 117 0 25 34 4 13 973 0 10 15 13 22 30 3 55
0 1 0 0 0 0 0 0 0 0 0 11 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 11 0 0 0 0 0 0 0 0
1 10 1 0 0 0 0 1 0 0 3 33 13 0 0 1 6 17 1 5 8 1 13 0 1 1 0 2 3 0 2 0 15 0 7 5 0 3 43 0 3 5 2 3 4 0 11
0 58 0 2 3 2 0 1 5 1 33 293 15 0 1 1 0 39 0 2 42 1 10 1 0 2 0 9 9 0 4 2 22 0 0 9 1 0 370 0 0 2 2 3 2 1 6
0 29 7 8 2 6 0 1 3 1 57 103 83 2 15 1 10 57 5 23 61 3 36 2 1 8 2 14 9 1 8 10 80 0 18 19 3 10 549 0 7 8 9 16 24 2 38
27 1,316 120 36 66 42 58 100 384 14 367 2,125 775 27 61 249 135 430 98 434 2,041 160 833 47 58 106 153 594 488 62 340 341 1,100 65 437 504 140 231 8,262 121 282 361 342 193 447 79 566
0 262 24 7 4 8 5 11 27 0 80 499 125 2 3 35 37 124 29 120 341 36 126 12 9 23 19 106 56 18 53 88 267 8 81 104 32 32 1,636 35 43 82 101 27 72 14 98
26 970 95 24 59 34 52 89 325 13 227 1,338 619 24 55 207 86 202 63 289 1,481 116 648 29 44 74 125 429 394 44 272 244 784 50 338 329 98 184 5,063 77 220 264 212 162 340 59 428
1 84 1 5 3 0 1 0 32 1 60 288 31 1 3 7 12 104 6 25 219 8 59 6 5 9 9 59 38 0 15 9 49 7 18 71 10 15 1,563 9 19 15 29 4 35 6 40
0 16 0 2 0 1 0 0 0 0 1 17 3 1 0 4 7 4 3 0 13 0 25 0 2 2 1 4 1 0 6 1 34 0 6 2 0 0 26 1 4 3 2 0 1 2 3
Abbeville .................................. Aiken ........................................ Allendale .................................. Anderson.................................. Andrews ................................... Atlantic Beach ......................... Aynor ........................................ Bamberg ................................... Barnwell ................................... Batesburg-Leesville................. Beaufort.................................... Belton ....................................... Bennettsville ............................ Bethune .................................... Bishopville................................ Blacksburg................................ Blackville.................................. Bluffton..................................... Bonneau ................................... Bowman.................................... Branchville ............................... Brunson .................................... Burnettown .............................. Calhoun Falls ........................... Camden..................................... Cameron ...................................
5,659 29,256 3,781 26,326 3,017 385 580 3,480 4,847 5,620 11,960 4,607 10,898 367 3,945 1,899 2,888 3,791 338 1,163 1,037 576 2,670 2,231 7,071 416
93 159 83 280 37 23 31 19 55 67 146 16 186 0 23 24 11 51 2 10 0 0 8 10 89 0
1 2 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0
1 13 0 15 2 2 0 1 2 3 2 0 4 0 0 0 0 0 0 0 0 0 1 2 4 0
2 26 6 43 2 8 0 3 4 3 35 4 14 0 5 4 3 10 0 0 0 0 0 1 18 0
89 118 76 221 32 13 31 15 49 61 109 12 167 0 18 20 8 41 2 9 0 0 7 7 66 0
203 1,284 161 1,652 178 40 42 166 327 323 852 182 679 5 288 178 57 348 11 25 0 0 18 82 516 0
65 227 72 361 31 14 3 37 91 55 140 26 131 2 60 32 21 52 1 11 0 0 2 14 168 0
130 987 83 1,161 138 20 35 123 229 239 669 137 525 2 213 138 36 279 8 11 0 0 15 68 323 0
8 70 6 130 9 6 4 6 7 29 43 19 23 1 15 8 0 17 2 3 0 0 1 0 25 0
1 1 0 8 1 0 0 5 2 1 1 0 2 0 1 1 0 4 0 0 0 0 0 0 1 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
184
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Campobello.............................. Cayce......................................... Central ...................................... Chapin ...................................... Charleston ................................ Cheraw...................................... Chesnee .................................... Chester...................................... Chesterfield.............................. Clemson.................................... Clinton ...................................... Clio............................................ Clover ....................................... Columbia ................................. Conway ..................................... Cottageville .............................. Coward ..................................... Cowpens ................................... Darlington ................................ Denmark................................... Due West .................................. Duncan ..................................... Easley........................................ Eastover.................................... Edgefield .................................. Edisto Beach ............................ Ehrhardt ................................... Elgin.......................................... Elloree ...................................... Estill .......................................... Eutawville................................. Fairfax ....................................... Florence.................................... Folly Beach............................... Forest Acres ............................. Fort Lawn ................................. Fort Mill.................................... Fountain Inn............................. Gaffney ..................................... Gaston....................................... Georgetown ............................. Goose Creek ............................ Great Falls ................................ Greeleyville.............................. Greenville................................. Greenwood .............................. Greer......................................... Hampton................................... Hanahan ................................... Hardeeville............................... Harleyville................................ Hartsville .................................. Hemingway .............................. Holly Hill.................................. Honea Path .............................. Inman........................................ Irmo........................................... Isle of Palms ............................. Iva.............................................. Jackson...................................... Jamestown ................................ Johnsonville.............................. Johnston.................................... Jonesville .................................. Kingstree .................................. Lake City .................................. Lake View................................. Lamar........................................ Lancaster .................................. Landrum ................................... Lane .......................................... Latta.......................................... Laurens ..................................... Lexington ................................. 1 The
Population
584 12,659 4,147 698 109,382 5,417 1,057 6,074 1,321 12,532 9,018 740 4,493 120,549 14,285 699 674 2,364 6,525 3,052 1,286 3,020 19,372 767 4,529 724 561 1,080 698 2,381 329 3,167 31,377 2,339 9,818 816 8,709 7,261 12,945 1,405 8,668 32,139 2,052 410 57,595 22,428 23,224 2,780 13,983 1,857 694 7,460 513 1,346 3,628 1,942 11,364 4,653 1,188 1,650 96 1,461 2,339 914 3,317 6,693 789 1,001 8,393 2,554 533 1,501 9,841 14,715
Violent crime
0 153 16 2 909 42 21 97 14 30 130 3 166 1,542 219 1 0 12 149 23 2 19 103 3 16 1 1 4 1 34 4 22 552 6 74 14 61 44 158 0 149 85 33 0 659 300 69 26 91 28 4 234 6 6 39 13 42 4 0 5 0 4 18 1 21 94 8 17 166 4 0 60 148 57
Murder and nonnegligent manslaughter 0 0 0 0 15 0 0 0 0 0 4 2 0 16 1 0 0 0 1 1 0 0 1 0 2 0 0 0 0 0 0 1 5 0 0 0 2 0 2 0 2 0 0 0 8 3 1 2 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 2 0
Forcible rape
0 13 2 2 56 1 1 1 0 8 6 0 3 67 7 0 0 0 4 1 0 2 6 0 0 0 0 1 0 1 0 4 31 0 3 1 0 2 8 0 5 1 1 0 26 11 4 2 4 3 1 13 0 0 2 1 5 2 0 1 0 0 1 0 0 8 0 0 7 0 0 1 3 4
Robbery
0 21 3 0 269 9 4 12 8 5 21 0 6 345 54 0 0 3 16 5 0 1 20 0 1 0 0 0 0 4 0 7 117 2 24 1 4 11 39 0 18 26 5 0 172 35 25 4 28 8 1 41 0 3 3 3 10 0 0 0 0 0 3 0 6 15 4 1 23 1 0 10 19 4
Aggravated assault
0 119 11 0 569 32 16 84 6 17 99 1 157 1,114 157 1 0 9 128 16 2 16 76 3 13 1 1 3 1 29 4 10 399 4 47 12 55 31 109 0 124 58 27 0 453 251 39 18 55 17 2 178 6 3 34 9 27 2 0 4 0 4 14 1 15 69 4 16 135 3 0 49 124 49
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
0 745 150 48 4,246 398 75 298 57 334 486 16 211 6,963 1,412 25 7 114 650 96 16 133 939 8 58 60 1 52 10 133 19 41 2,757 203 680 72 256 178 965 5 669 917 145 14 3,810 1,554 812 170 622 259 9 1,174 51 54 235 104 366 210 13 57 4 84 92 34 244 671 44 68 733 67 0 64 550 578
Burglary
0 140 34 4 746 39 9 92 10 91 95 4 36 1,267 310 2 2 36 105 32 2 32 126 5 11 12 0 6 0 49 3 17 586 20 104 18 36 28 218 2 78 150 30 5 643 373 185 42 128 30 4 240 11 19 69 19 52 22 1 20 3 11 22 10 34 126 20 18 207 11 0 6 120 46
Larcenytheft
0 554 110 43 3,056 346 62 184 45 225 364 12 166 5,066 1,012 18 3 70 530 61 13 91 749 3 39 44 0 45 8 70 11 21 2,000 168 540 50 204 141 703 3 562 711 110 6 2,805 1,112 543 126 434 213 4 906 39 32 150 76 298 179 12 30 1 70 63 24 202 510 21 45 484 52 0 52 405 518
Motor vehicle theft
0 51 6 1 444 13 4 22 2 18 27 0 9 630 90 5 2 8 15 3 1 10 64 0 8 4 1 1 2 14 5 3 171 15 36 4 16 9 44 0 29 56 5 3 362 69 84 2 60 16 1 28 1 3 16 9 16 9 0 7 0 3 7 0 8 35 3 5 42 4 0 6 25 14
Arson1
0 2 0 0 11 2 0 2 0 0 2 0 3 24 5 0 0 0 2 0 0 0 3 1 1 0 0 0 0 0 0 1 30 1 7 0 5 0 3 0 1 5 1 0 5 8 2 0 2 2 0 9 0 0 2 0 1 0 0 0 0 0 0 0 1 2 0 2 2 0 0 0 2 1
SECTION II: OFFENSES REPORTED 185 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Liberty ...................................... Lincolnville .............................. Loris .......................................... Lyman ....................................... Lynchburg ................................ Manning.................................... Marion ...................................... Mauldin .................................... McBee....................................... McColl ...................................... McCormick............................... Moncks Corner ........................ Mount Pleasant........................ Mullins ...................................... Myrtle Beach............................ Newberry.................................. New Ellenton ........................... Nichols ...................................... Ninety Six ................................. North......................................... North Augusta.......................... North Charleston..................... North Myrtle Beach ................ Norway ..................................... Orangeburg .............................. Pacolet ...................................... Pageland ................................... Pamplico ................................... Pawleys Island ......................... Pelion ........................................ Pickens...................................... Pine Ridge ................................ Port Royal ................................ Prosperity ................................. Ridgeland ................................. Ridgeville ................................. Rock Hill .................................. Salem......................................... Salley......................................... Saluda ....................................... Santee ....................................... Scranton.................................... Seneca ....................................... Simpsonville ............................. Society Hill............................... South Congaree ....................... Spartanburg.............................. Springdale ................................ Springfield ................................ St. George................................. St. Matthews............................. St. Stephen................................ Sullivans Island ........................ Summerton............................... Summerville ............................. Sumter....................................... Surfside Beach ......................... Swansea .................................... Tega Cay ................................... Timmonsville............................ Travelers Rest .......................... Turbeville.................................. Union ........................................ Vance ........................................ Varnville ................................... Wagener.................................... Walhalla .................................... Walterboro ............................... Ware Shoals.............................. Wellford .................................... West Columbia ........................ Westminster ............................. West Pelzer............................... Whitmire................................... 1 The
Population
3,034 840 2,322 2,812 579 4,016 6,949 20,494 713 2,368 2,712 6,645 60,746 4,820 29,361 10,927 2,251 404 1,920 778 20,270 88,431 15,577 363 13,674 2,756 2,539 1,152 143 599 2,990 1,760 9,959 1,072 2,640 2,075 63,388 132 415 2,979 714 998 8,076 16,211 696 2,413 38,388 2,956 483 2,124 1,995 1,702 1,868 1,047 43,985 38,955 4,846 784 4,612 2,384 4,396 721 8,167 199 2,035 878 3,689 5,601 2,359 2,315 13,729 2,675 905 1,543
Violent crime
8 0 13 10 1 51 123 92 3 21 23 41 224 68 506 55 11 1 13 6 53 1,561 57 4 87 11 59 6 0 3 20 5 20 12 37 1 798 0 1 64 19 0 70 177 3 8 829 10 0 21 33 8 5 21 147 531 27 15 4 48 18 4 103 3 0 9 31 129 11 15 167 27 2 4
Murder and nonnegligent manslaughter 0 0 0 0 0 0 3 1 0 0 0 0 1 1 2 0 0 0 0 1 0 26 0 0 0 0 4 0 0 0 0 0 1 0 1 0 3 0 0 1 0 0 0 0 0 0 6 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 1 0 0 0 0 3 0 1 0 0 0 0
Forcible rape
1 0 0 1 0 1 1 5 1 0 0 4 7 3 49 3 2 0 0 0 7 92 3 0 4 1 2 0 0 0 0 0 1 0 2 0 20 0 0 0 0 0 3 9 0 0 22 0 0 0 1 1 1 0 13 9 2 0 0 2 0 0 3 0 0 1 2 5 0 3 11 0 0 1
Robbery
1 0 4 2 0 12 33 15 0 2 5 10 48 15 222 9 3 0 0 2 26 624 17 0 28 4 3 1 0 0 3 1 10 0 11 1 124 0 0 5 6 0 8 17 2 1 219 4 0 4 1 2 2 6 36 101 8 2 0 8 8 0 12 1 0 0 7 37 0 3 53 9 1 0
Aggravated assault
6 0 9 7 1 38 86 71 2 19 18 27 168 49 233 43 6 1 13 3 20 819 37 4 55 6 50 5 0 3 17 4 8 12 23 0 651 0 1 58 13 0 59 151 1 7 582 6 0 17 31 5 2 15 96 417 17 13 4 38 10 4 87 2 0 8 22 84 11 8 103 18 1 3
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
124 0 142 124 6 275 515 545 18 163 72 359 1,400 493 5,488 431 72 11 28 28 950 6,768 1,576 21 789 69 193 29 13 46 171 51 250 45 142 10 2,921 0 10 84 121 3 541 818 15 88 3,610 99 2 122 88 91 47 72 1,470 2,568 354 45 44 176 219 28 375 11 0 31 132 603 110 85 885 94 9 44
Burglary
16 0 34 16 4 65 116 70 6 32 8 58 201 97 1,011 48 23 5 4 8 111 1,195 291 4 162 12 26 15 0 9 28 16 31 15 18 1 503 0 3 5 27 1 67 94 4 22 919 15 1 36 18 20 6 16 154 683 75 6 14 63 22 11 88 2 0 5 26 99 23 12 139 25 3 6
Larcenytheft
103 0 102 101 2 195 369 427 12 125 57 270 1,127 374 3,998 376 41 5 22 17 742 4,660 1,264 17 558 54 162 11 12 37 139 33 210 29 115 8 2,208 0 6 65 89 2 441 675 8 59 2,422 79 1 75 63 62 40 52 1,212 1,743 255 35 30 104 188 13 275 6 0 22 102 463 80 67 698 66 6 38
Motor vehicle theft
5 0 6 7 0 15 30 48 0 6 7 31 72 22 479 7 8 1 2 3 97 913 21 0 69 3 5 3 1 0 4 2 9 1 9 1 210 0 1 14 5 0 33 49 3 7 269 5 0 11 7 9 1 4 104 142 24 4 0 9 9 4 12 3 0 4 4 41 7 6 48 3 0 0
Arson1
0 0 0 0 0 0 3 5 0 6 1 2 3 1 10 0 0 0 1 1 10 34 0 0 2 0 0 1 0 0 1 0 0 0 1 0 25 0 0 1 0 0 1 3 0 0 27 0 0 1 1 0 0 0 2 11 0 0 0 2 1 0 6 1 0 0 0 2 0 1 3 1 0 0
186
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
SOUTH DAKOTA
TENNESSEE
1 The 4
City
Williamston .............................. Williston.................................... Winnsboro ................................ Woodruff .................................. Yemassee .................................. York .......................................... Aberdeen.................................. Avon.......................................... Bonesteel.................................. Box Elder ................................. Brandon.................................... Bridgewater.............................. Burke ........................................ Canton ...................................... Centerville................................ Clark ......................................... Colman ..................................... Corsica ...................................... Deadwood ................................ Delmont.................................... Eagle Butte .............................. Estelline.................................... Eureka ...................................... Freeman.................................... Gettysburg................................ Hermosa ................................... Hot Springs .............................. Hoven ....................................... Irene.......................................... Jefferson ................................... Kadoka ..................................... Kimball ..................................... Lead .......................................... Leola ......................................... Madison .................................... Martin ....................................... McIntosh................................... McLaughlin4 ............................. Miller......................................... Mitchell..................................... Mobridge .................................. New Effington.......................... North Sioux City...................... Parkston.................................... Pierre......................................... Rapid City ................................ Rosholt ..................................... Scotland .................................... Sioux Falls ................................ Spearfish ................................... Springfield ................................ Sturgis ....................................... Tripp.......................................... Tyndall ...................................... Vermillion................................. Viborg ....................................... Wagner...................................... Watertown ................................ Whitewood ............................... Wilmot ...................................... Winner ...................................... Yankton .................................... Adamsville ............................... Alamo ....................................... Alcoa......................................... Alexandria................................ Algood ...................................... Ardmore ................................... Ashland City ............................ Athens ...................................... Atoka ........................................ Baileyton .................................. Baneberry................................. Bartlett......................................
Population
3,914 3,239 3,637 4,076 857 7,537 23,992 536 264 3,112 7,956 579 590 3,237 856 1,128 553 601 1,269 229 950 668 952 1,178 1,130 360 4,095 421 403 593 673 678 2,837 394 6,221 1,029 212 755 1,343 14,894 3,188 225 2,545 1,506 14,124 63,162 437 816 144,985 9,796 1,510 6,090 643 1,135 9,810 793 1,596 20,568 810 524 2,892 13,805 2,122 2,349 8,544 870 3,293 1,142 4,696 14,183 6,868 501 459 47,333
Violent crime
24 18 45 42 4 108 30 0 0 12 2 0 0 7 0 0 0 0 2 0 1 1 0 0 0 0 1 0 0 0 1 0 6 0 7 4 0 0 33 5 0 0 0 34 294 0 0 381 9 0 13 0 0 9 4 4 37 2 0 4 26 5 9 107 2 20 9 11 202 17 3 0 150
Murder and nonnegligent manslaughter 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 2 0 0 0 2
Forcible rape
1 0 4 6 0 5 13 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 0 0 0 9 69 0 0 95 3 0 1 0 0 1 0 0 8 1 0 0 4 1 0 7 1 1 0 1 10 0 0 0 7
Robbery
12 4 4 3 1 12 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 1 34 0 0 44 0 0 1 0 0 0 0 0 2 0 0 0 4 0 0 11 0 2 2 0 29 2 2 0 23
Aggravated assault
11 13 37 33 3 90 16 0 0 4 2 0 0 7 0 0 0 0 1 0 1 1 0 0 0 0 1 0 0 0 1 0 6 0 7 3 0 0 28 5 0 0 0 24 187 0 0 240 6 0 11 0 0 8 4 4 27 1 0 4 17 4 9 89 1 16 7 10 161 15 1 0 118
Property crime
141 146 244 220 15 325 498 0 0 69 59 0 0 33 0 0 1 0 43 0 17 11 0 0 2 0 28 0 2 0 3 0 20 0 92 18 0 16 14 487 97 0 1 12 547 2,386 0 0 3,780 338 0 154 1 0 86 0 21 617 7 0 58 344 34 48 528 16 115 34 249 1,245 174 17 0 1,137
Burglary
23 44 29 46 3 61 80 0 0 31 10 0 0 10 0 0 0 0 1 0 2 1 0 0 0 0 15 0 0 0 3 0 0 0 9 10 0 11 5 72 6 0 0 7 80 443 0 0 631 26 0 17 1 0 5 0 3 76 0 0 3 54 3 11 96 6 9 4 51 280 23 3 0 213
Larcenytheft
109 100 211 168 11 239 389 0 0 36 49 0 0 22 0 0 1 0 41 0 15 9 0 0 2 0 13 0 2 0 0 0 19 0 82 8 0 4 8 384 85 0 1 5 444 1,819 0 0 2,881 308 0 125 0 0 80 0 12 509 5 0 51 280 24 33 401 9 106 27 189 880 147 14 0 855
Motor vehicle theft
Arson1
9 2 4 6 1 25 29 0 0 2 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 31 6 0 0 0 23 124 0 0 268 4 0 12 0 0 1 0 6 32 2 0 4 10 7 4 31 1 0 3 9 85 4 0 0 69
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table.
5 1 1 1 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 9 0 0 0 1 5 17 0 0 39 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 6 0 0 0 2 4 2 0 0 3
SECTION II: OFFENSES REPORTED 187 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Baxter ....................................... Bean Station............................. Belle Meade ............................. Bells........................................... Benton ...................................... Berry Hill.................................. Bethel Springs.......................... Big Sandy ................................. Blaine........................................ Bluff City .................................. Bradford ................................... Brentwood................................ Brighton.................................... Bristol ....................................... Brownsville .............................. Bruceton ................................... Burns......................................... Calhoun .................................... Camden..................................... Carthage ................................... Caryville ................................... Celina........................................ Centerville................................ Chapel Hill ............................... Charleston ................................ Chattanooga............................. Church Hill............................... Clarksburg................................ Clarksville ................................ Cleveland.................................. Clifton ....................................... Clinton ...................................... Collegedale .............................. Collierville................................ Collinwood ............................... Columbia .................................. Cookeville ................................ Coopertown ............................. Copperhill ................................ Cornersville.............................. Covington ................................. Cowan ....................................... Cross Plains .............................. Crossville .................................. Crump ....................................... Cumberland City ..................... Cumberland Gap..................... Dandridge ................................ Dayton ...................................... Decatur ..................................... Decaturville.............................. Decherd .................................... Dickson..................................... Dover ........................................ Dresden .................................... Dunlap ...................................... Dyer .......................................... Dyersburg................................. Eagleville.................................. East Ridge ................................ Elizabethton............................. Elkton ....................................... Englewood ............................... Erin ........................................... Erwin......................................... Estill Springs ............................ Ethridge.................................... Etowah...................................... Fairview .................................... Fayetteville ............................... Franklin .................................... Friendship................................. Gadsden.................................... Gainesboro............................... 1 The
Population
1,367 3,043 3,170 2,275 1,080 690 786 515 1,751 1,629 1,063 35,019 2,664 25,346 10,539 1,469 1,411 522 3,693 2,234 2,400 1,380 4,018 1,285 654 155,043 6,644 374 114,582 38,808 2,684 9,516 7,423 39,569 1,038 33,897 28,691 3,324 465 948 9,193 1,758 1,602 11,111 1,457 321 205 2,497 6,686 1,468 825 2,164 13,171 1,550 2,629 4,891 2,422 17,391 472 19,641 13,917 500 1,722 1,453 5,802 2,285 555 3,775 7,712 7,104 57,489 602 547 845
Violent crime
2 20 1 12 8 10 1 5 3 9 2 27 16 117 148 7 3 6 26 18 16 8 5 4 4 2,009 14 0 992 430 7 54 19 59 2 486 127 6 2 0 127 5 0 123 22 0 0 13 32 5 0 10 117 2 6 14 3 203 0 192 78 2 15 11 12 4 2 26 18 93 106 3 2 1
Murder and nonnegligent manslaughter 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 11 0 0 9 1 0 0 0 0 0 5 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 5 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0
Forcible rape
0 3 0 0 0 0 0 0 0 0 0 4 0 16 5 0 0 0 1 0 2 0 1 0 0 102 0 0 65 24 0 1 2 1 0 20 13 1 0 0 3 0 0 15 0 0 0 1 1 0 0 0 9 0 0 1 0 17 0 8 5 0 0 0 1 0 0 0 1 2 13 0 0 0
Robbery
0 1 0 1 1 8 0 0 1 1 0 5 0 9 20 2 0 0 0 1 2 0 0 0 0 524 1 0 159 48 0 8 3 12 0 78 28 0 2 0 16 0 0 11 2 0 0 0 7 2 0 2 19 0 0 1 0 28 0 35 3 0 1 1 2 0 1 2 1 9 18 0 0 0
Aggravated assault
2 15 1 11 7 2 1 5 2 8 2 18 16 92 123 5 3 6 25 16 12 8 4 4 4 1,372 13 0 759 357 7 45 14 46 2 383 85 5 0 0 107 5 0 97 20 0 0 12 24 3 0 8 88 2 6 12 2 153 0 148 70 2 14 10 8 4 1 24 16 82 73 3 2 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
31 154 37 82 47 105 7 2 36 59 6 511 48 1,436 610 24 40 28 189 81 103 31 99 27 8 12,484 155 2 4,751 2,356 15 463 242 821 12 1,820 1,715 51 14 4 502 42 40 940 85 15 9 160 325 64 6 99 791 18 76 140 29 1,454 0 1,289 866 14 73 45 154 38 13 257 160 353 1,024 6 6 41
Burglary
6 46 17 33 8 16 3 1 7 10 0 82 13 207 214 9 16 7 27 19 29 7 34 9 1 2,384 44 0 1,520 465 8 101 20 129 2 384 335 19 3 1 114 13 10 228 30 7 1 8 50 9 5 27 146 2 16 18 6 366 0 333 169 10 11 13 26 7 2 47 43 72 125 2 0 5
Larcenytheft
24 103 19 46 37 84 4 1 24 46 5 420 33 1,129 363 14 19 18 160 57 64 23 62 18 6 9,072 97 2 2,907 1,769 6 330 218 654 9 1,316 1,281 23 10 3 367 24 26 656 52 7 8 151 265 53 1 70 554 15 50 109 20 1,012 0 875 648 3 52 26 127 26 9 195 104 261 849 2 6 33
Motor vehicle theft
1 5 1 3 2 5 0 0 5 3 1 9 2 100 33 1 5 3 2 5 10 1 3 0 1 1,028 14 0 324 122 1 32 4 38 1 120 99 9 1 0 21 5 4 56 3 1 0 1 10 2 0 2 91 1 10 13 3 76 0 81 49 1 10 6 1 5 2 15 13 20 50 2 0 3
Arson1
0 1 0 2 1 0 0 0 0 0 0 1 0 6 3 0 0 0 2 0 0 0 0 0 0 14 1 0 22 13 0 3 0 4 2 11 2 0 0 0 0 1 0 6 2 0 0 0 1 0 0 0 2 0 1 0 1 6 0 4 8 0 2 0 0 0 0 0 0 5 5 0 0 1
188
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Gallatin ..................................... Gallaway................................... Gates ......................................... Gatlinburg ................................ Gibson ...................................... Gleason..................................... Goodlettsville........................... Gordonsville ............................ Grand Junction ........................ Graysville ................................. Greenbrier................................ Greeneville............................... Greenfield ................................ Halls .......................................... Harriman .................................. Henderson................................ Hendersonville ........................ Henning .................................... Henry ........................................ Hohenwald ............................... Hollow Rock ............................ Hornbeak ................................. Humboldt ................................. Huntingdon .............................. Huntland .................................. Jacksboro .................................. Jackson...................................... Jamestown ................................ Jasper ........................................ Jefferson City ........................... Jellico ........................................ Johnson City............................. Jonesborough ........................... Kenton ...................................... Kimball ..................................... Kingsport.................................. Kingston ................................... Kingston Springs ..................... Knoxville .................................. Lafayette................................... La Follette ................................ La Grange ................................ Lakewood................................. La Vergne ................................. Lawrenceburg .......................... Lebanon.................................... Lenoir City ............................... Lewisburg ................................. Lexington ................................. Livingston................................. Lookout Mountain .................. Loretto...................................... Loudon ..................................... Lynnville ................................... Madisonville............................. Manchester............................... Martin ....................................... Maryville................................... Mason ....................................... Maury City ............................... Maynardville ............................ McEwen.................................... McKenzie ................................. McMinnville ............................. Medina...................................... Memphis ................................... Middleton ................................. Milan ......................................... Millersville................................ Millington ................................. Minor Hill................................. Monteagle................................. Monterey .................................. Morristown............................... 1 The
Population
28,419 715 852 5,165 406 1,402 15,854 1,320 312 1,438 6,434 15,558 2,028 2,201 6,714 6,290 46,989 1,290 545 3,832 943 425 9,213 4,163 882 2,055 63,125 1,907 3,086 8,055 2,546 60,488 4,803 1,306 1,380 44,079 5,588 2,945 183,319 4,289 8,212 146 2,403 28,719 10,826 24,219 7,835 10,866 7,829 3,518 1,865 1,707 4,915 338 4,542 9,858 10,043 26,941 1,174 705 1,940 1,681 5,438 13,378 1,609 669,264 623 7,885 6,365 10,323 450 1,209 2,856 27,147
Violent crime
104 13 2 25 4 11 124 10 5 10 29 70 6 13 35 29 163 13 4 14 1 2 122 12 0 14 681 16 4 33 3 343 22 2 4 335 7 1 2,058 16 59 0 5 153 124 226 68 81 85 15 0 3 18 0 29 63 38 57 10 0 0 3 14 97 10 13,055 7 48 19 90 0 4 1 264
Murder and nonnegligent manslaughter 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 2 0 0 0 9 0 0 0 0 1 0 0 0 2 0 0 27 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 128 0 1 0 0 0 0 0 1
Forcible rape
5 0 0 3 0 0 5 1 0 0 0 5 0 0 1 1 14 1 0 0 0 0 3 0 0 0 27 1 0 2 0 22 1 0 0 21 1 0 109 0 2 0 1 12 5 10 3 4 8 2 0 0 1 0 3 0 6 6 0 0 0 0 0 8 0 452 0 1 0 2 0 0 0 23
Robbery
13 1 0 2 0 0 36 0 2 0 3 22 0 2 7 1 19 0 1 1 0 1 14 0 0 2 266 0 0 3 0 57 2 0 2 57 0 0 681 1 4 0 0 10 10 39 8 11 13 4 0 0 2 0 2 9 5 14 2 0 0 1 2 10 0 4,870 0 8 1 21 0 1 1 65
Aggravated assault
85 12 2 20 4 11 82 9 3 10 26 43 6 11 27 26 129 12 3 13 1 1 103 12 0 12 379 15 4 28 3 263 19 2 2 255 6 1 1,241 15 53 0 4 130 109 174 57 66 64 9 0 3 15 0 24 54 26 37 8 0 0 2 11 79 10 7,605 7 38 18 67 0 3 0 175
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
576 31 10 451 16 33 962 33 15 37 142 855 30 46 362 233 1,236 35 15 92 19 5 486 105 8 209 4,606 110 94 454 154 3,023 96 12 73 3,064 134 40 12,862 82 626 0 52 661 608 1,158 473 333 496 131 5 65 194 0 255 525 359 647 38 9 52 11 209 594 40 53,959 28 354 125 599 14 30 47 1,905
Burglary
79 5 6 176 1 12 145 5 3 5 39 172 2 27 60 38 197 18 3 40 4 1 135 26 3 19 1,106 22 31 67 17 566 25 4 2 521 30 7 2,507 21 191 0 22 155 128 168 117 89 122 53 0 13 35 0 39 70 50 106 8 0 18 4 49 126 7 14,613 5 59 49 105 4 8 4 224
Larcenytheft
471 21 4 258 12 20 741 28 11 27 94 637 24 15 281 179 955 12 12 50 15 4 314 76 4 180 2,930 85 57 367 128 2,295 65 8 62 2,395 95 30 8,984 55 393 0 25 445 446 893 318 231 343 76 5 48 151 0 204 419 304 510 27 7 30 4 153 442 31 33,146 22 282 65 451 10 17 43 1,572
Motor vehicle theft
26 5 0 17 3 1 76 0 1 5 9 46 4 4 21 16 84 5 0 2 0 0 37 3 1 10 570 3 6 20 9 162 6 0 9 148 9 3 1,371 6 42 0 5 61 34 97 38 13 31 2 0 4 8 0 12 36 5 31 3 2 4 3 7 26 2 6,200 1 13 11 43 0 5 0 109
Arson1
3 0 0 4 0 0 1 0 0 0 1 4 0 0 8 1 6 1 0 2 0 0 6 0 1 1 22 2 0 0 1 12 1 0 1 20 1 0 99 1 3 0 0 3 5 6 4 1 3 1 0 0 0 0 6 3 1 1 0 0 0 0 0 3 0 147 0 2 0 1 0 1 0 14
SECTION II: OFFENSES REPORTED 189 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Moscow..................................... Mountain City.......................... Mount Carmel.......................... Mount Juliet ............................. Mount Pleasant........................ Munford.................................... Murfreesboro ........................... Nashville ................................... Newbern ................................... New Hope ................................ New Johnsonville..................... New Market ............................. Newport.................................... New Tazewell ........................... Niota ......................................... Nolensville................................ Norris ........................................ Oakland .................................... Oak Ridge ................................ Obion ........................................ Oliver Springs .......................... Oneida ...................................... Paris........................................... Parsons...................................... Petersburg ................................ Pigeon Forge ............................ Pikeville .................................... Piperton .................................... Pittman Center ........................ Plainview .................................. Pleasant View........................... Portland .................................... Powells Crossroads.................. Pulaski ...................................... Puryear ..................................... Red Bank ................................. Red Boiling Springs ................ Ridgely...................................... Ridgetop ................................... Ripley........................................ Rockwood ................................ Rogersville ............................... Rossville ................................... Rutherford ............................... Rutledge ................................... Savannah .................................. Scotts Hill ................................. Selmer ....................................... Sevierville ................................. Sewanee.................................... Sharon....................................... Shelbyville ................................ Signal Mountain ...................... Smithville.................................. Sneedville ................................. Soddy-Daisy ............................. Somerville ................................ South Carthage ........................ South Fulton ............................ South Pittsburg ........................ Sparta........................................ Spencer ..................................... Spring City ............................... Springfield ................................ Spring Hill ................................ St. Joseph .................................. Surgoinsville............................. Sweetwater ............................... Tazewell .................................... Tellico Plains ............................ Tiptonville ................................ Toone ........................................ Townsend.................................. Trenton ..................................... 1 The
Population
571 2,389 5,436 20,259 4,442 6,268 96,264 564,169 3,134 1,025 1,993 1,327 7,406 2,896 805 2,643 1,468 3,821 27,682 1,100 3,322 3,685 10,014 2,377 603 6,019 1,890 1,001 622 2,135 3,822 11,060 1,216 7,869 678 11,526 1,072 1,513 1,705 7,705 5,453 4,327 514 1,236 1,282 7,281 913 4,724 16,070 2,555 908 19,586 7,063 4,227 1,309 12,098 2,949 1,301 2,446 3,113 4,839 1,683 2,018 16,844 23,774 859 1,777 6,419 2,158 955 3,998 356 262 4,538
Violent crime
3 9 3 61 40 20 691 8,513 34 1 3 1 79 12 2 2 0 8 146 4 5 21 93 8 2 59 2 4 2 1 4 92 5 63 2 70 3 8 0 159 15 24 2 2 1 74 0 28 78 1 4 99 9 27 11 74 39 2 12 26 19 1 0 228 33 2 5 59 13 7 10 0 2 20
Murder and nonnegligent manslaughter 0 0 0 0 1 0 4 73 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 1 0 0 1 0 0 0 0 0 0
Forcible rape
0 3 0 1 3 1 29 290 0 0 0 0 2 2 0 0 0 0 9 0 1 1 2 0 0 6 0 0 0 0 0 6 0 7 0 8 1 0 0 8 0 0 0 0 0 1 0 3 8 0 0 12 1 2 0 4 1 0 1 1 3 0 0 15 6 0 3 1 1 0 0 0 0 1
Robbery
1 1 0 8 2 0 137 2,516 1 0 0 0 7 1 0 0 0 0 37 0 1 1 13 1 0 9 0 0 0 0 1 3 0 10 0 12 0 1 0 14 2 1 1 0 1 15 0 2 14 0 0 20 0 5 2 6 7 1 0 2 2 0 0 39 2 0 1 5 1 0 1 0 0 1
Aggravated assault
2 5 3 52 34 19 521 5,634 33 1 3 1 70 9 2 2 0 8 96 4 3 19 78 7 2 44 2 4 2 1 3 83 5 46 2 49 2 6 0 137 13 23 1 2 0 58 0 23 56 1 4 67 8 20 9 64 31 1 11 23 13 1 0 172 24 2 1 52 11 7 9 0 2 18
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
8 57 99 419 230 168 4,186 31,466 116 9 70 4 749 148 8 51 18 72 1,410 28 136 206 560 50 8 720 43 13 14 6 58 350 7 417 16 518 26 28 30 776 478 310 21 26 62 569 13 248 1,046 57 20 549 84 237 70 493 125 53 67 133 385 14 41 815 228 2 26 310 126 31 77 1 22 168
Burglary
2 14 20 74 50 37 929 6,111 33 4 18 1 82 18 4 8 3 2 334 8 25 48 161 21 2 236 2 2 7 2 13 82 1 98 4 144 8 8 9 232 73 42 4 9 22 137 5 60 174 16 3 113 19 43 26 96 19 13 21 28 92 3 5 123 60 1 7 52 28 6 25 0 11 33
Larcenytheft
4 37 72 328 163 112 3,028 22,729 72 5 48 2 627 124 4 42 15 63 1,009 18 96 150 380 25 6 430 39 9 6 4 41 237 6 304 12 344 16 18 17 508 393 254 16 15 37 403 7 176 806 40 15 392 64 186 42 363 101 40 41 93 274 11 35 645 156 1 18 239 92 24 48 1 8 129
Motor vehicle theft
2 6 7 17 17 19 229 2,626 11 0 4 1 40 6 0 1 0 7 67 2 15 8 19 4 0 54 2 2 1 0 4 31 0 15 0 30 2 2 4 36 12 14 1 2 3 29 1 12 66 1 2 44 1 8 2 34 5 0 5 12 19 0 1 47 12 0 1 19 6 1 4 0 3 6
Arson1
0 0 0 11 0 0 13 110 1 0 1 0 6 0 1 0 0 0 12 0 0 0 1 0 0 6 0 0 0 0 0 4 0 2 0 2 0 0 0 2 1 0 0 0 0 2 0 0 2 1 0 2 0 1 0 2 0 0 0 1 3 0 0 4 0 0 0 2 0 0 0 0 0 0
CRIME IN THE UNITED STATES (BERNAN PRESS)
190
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
TEXAS
1 The
City
Trezevant .................................. Trimble...................................... Troy ........................................... Tullahoma................................. Tusculum .................................. Union City................................ Vonore ...................................... Wartburg................................... Wartrace ................................... Watertown ................................ Waverly..................................... Waynesboro ............................. Westmoreland .......................... White Bluff............................... White House ............................ White Pine................................ Whiteville ................................. Whitwell ................................... Winchester................................ Winfield .................................... Woodbury................................. Abernathy ................................ Abilene ..................................... Addison .................................... Alamo ....................................... Alamo Heights......................... Alice.......................................... Allen ......................................... Alpine ....................................... Alto ........................................... Alton ......................................... Alvarado................................... Alvin ......................................... Amarillo ................................... Andrews ................................... Angleton................................... Anna ......................................... Anson........................................ Anthony.................................... Anton........................................ Aransas Pass ............................ Arcola ....................................... Argyle ....................................... Arlington .................................. Arp ............................................ Athens ...................................... Atlanta...................................... Austin........................................ Azle ........................................... Baird ......................................... Balch Springs ........................... Balcones Heights..................... Ballinger ................................... Bangs ........................................ Bastrop ..................................... Bay City .................................... Bayou Vista .............................. Baytown.................................... Beaumont ................................. Bedford..................................... Bee Cave .................................. Beeville ..................................... Bellaire ..................................... Bellmead................................... Bellville..................................... Belton ....................................... Benbrook.................................. Bertram..................................... Beverly Hills ............................ Big Sandy ................................. Big Spring................................. Bishop ....................................... Blanco ....................................... Bloomburg ...............................
Population
889 727 1,241 19,036 2,260 10,772 1,483 912 570 1,408 4,215 2,146 2,195 2,473 9,464 2,099 4,480 1,589 7,911 999 2,554 2,748 114,644 13,764 16,496 7,087 19,850 78,630 6,056 1,152 7,793 4,200 22,542 187,234 9,541 18,811 1,811 2,364 4,155 1,153 9,082 1,292 3,291 372,073 945 12,742 5,606 716,817 10,973 1,668 19,852 2,969 3,875 1,636 7,966 18,211 1,717 69,040 109,345 48,974 2,464 13,721 17,879 9,573 4,416 16,191 22,618 1,378 2,046 1,360 24,099 3,199 1,641 368
Violent crime
8 0 3 126 0 59 11 2 1 0 6 20 8 2 14 9 15 5 92 13 14 9 661 127 55 17 138 58 11 2 9 17 64 1,834 53 99 5 1 22 2 63 4 0 2,588 1 54 32 3,871 31 2 211 44 8 1 42 462 0 324 1,073 258 3 48 41 131 15 30 31 3 4 6 197 5 3 0
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 9 0 0 0 0 0 0 0 0 0 1 19 0 0 0 0 0 0 0 0 0 13 0 2 0 30 1 0 1 0 0 0 1 0 0 7 15 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0
Forcible rape
0 0 0 7 0 2 0 0 0 0 0 1 1 1 4 1 0 0 3 0 0 0 89 8 0 0 5 10 3 0 1 3 8 127 7 27 2 0 0 1 7 0 0 156 0 9 6 328 1 0 18 1 0 0 6 10 0 44 71 19 0 2 1 6 2 1 7 1 0 0 35 1 0 0
Robbery
1 0 0 17 0 7 0 0 0 0 0 0 1 0 0 2 0 1 7 0 1 1 167 32 9 5 8 14 1 0 3 0 17 431 1 11 0 0 7 0 14 0 0 742 0 12 5 1,457 9 0 85 16 1 0 14 34 0 113 309 34 2 4 33 20 2 8 5 0 1 2 26 2 0 0
Aggravated assault
7 0 3 102 0 50 11 2 1 0 6 19 6 1 9 6 15 4 82 13 13 7 396 87 46 12 125 34 7 2 5 14 38 1,257 45 61 3 1 15 1 42 4 0 1,677 1 31 21 2,056 20 2 107 27 7 1 21 418 0 160 678 204 1 42 7 104 11 21 19 2 3 4 136 2 3 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
31 4 29 887 19 726 99 8 4 40 58 36 52 33 114 175 80 61 369 57 56 44 4,911 1,092 1,025 312 2,082 1,760 104 62 372 124 715 11,369 315 544 105 19 176 8 793 18 26 21,079 12 600 229 45,453 469 7 1,256 712 73 17 530 1,088 2 3,098 6,643 1,734 113 425 303 906 90 505 519 28 89 24 1,616 155 26 1
Burglary
9 0 6 209 12 129 12 3 1 9 11 10 20 20 18 14 23 10 92 15 12 8 1,324 185 105 52 423 365 56 25 87 34 136 2,585 82 105 24 7 10 1 146 8 6 4,447 5 185 40 8,031 66 3 161 191 13 2 65 235 0 731 1,707 289 31 125 57 92 13 127 123 13 11 7 429 25 10 1
Larcenytheft
21 4 21 631 6 577 80 5 2 28 43 23 28 12 91 151 50 45 260 33 40 33 3,295 798 842 256 1,596 1,344 45 32 234 79 546 7,554 228 398 77 11 157 5 612 10 20 14,990 7 381 171 34,461 391 2 1,016 475 56 14 446 808 2 2,048 4,471 1,331 81 285 224 779 70 357 363 13 76 16 1,112 129 15 0
Motor vehicle theft
1 0 2 47 1 20 7 0 1 3 4 3 4 1 5 10 7 6 17 9 4 3 292 109 78 4 63 51 3 5 51 11 33 1,230 5 41 4 1 9 2 35 0 0 1,642 0 34 18 2,961 12 2 79 46 4 1 19 45 0 319 465 114 1 15 22 35 7 21 33 2 2 1 75 1 1 0
Arson1
1 0 0 7 0 5 1 0 0 2 0 2 0 0 0 1 0 1 3 0 1 0 31 2 9 0 14 2 3 0 0 1 4 70 2 7 1 0 1 0 0 0 0 64 0 3 0 116 7 0 1 1 0 0 2 1 0 22 51 8 0 0 2 2 0 3 3 0 0 0 9 0 0 2
SECTION II: OFFENSES REPORTED 191 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Blue Mound ............................. Boerne ...................................... Bogata....................................... Bonham .................................... Borger ....................................... Bovina....................................... Bowie ........................................ Brady ........................................ Brazoria .................................... Breckenridge............................ Bremond................................... Brenham ................................... Bridge City ............................... Bridgeport ................................ Brookshire................................ Brookside Village .................... Brownfield................................ Brownsville .............................. Brownwood.............................. Bruceville-Eddy....................... Bryan ........................................ Bullard ...................................... Bulverde ................................... Burkburnett ............................. Burleson ................................... Burnet ....................................... Cactus ....................................... Caddo Mills .............................. Caldwell.................................... Calvert ...................................... Cameron ................................... Canton ...................................... Canyon...................................... Carrollton ................................. Carthage ................................... Castle Hills ............................... Castroville ................................ Cedar Hill................................. Cedar Park ............................... Celina........................................ Center ....................................... Childress ................................... Chillicothe ................................ Cibolo ....................................... Cisco.......................................... Clarksville ................................ Cleburne ................................... Cleveland.................................. Clifton ....................................... Clint........................................... Clute.......................................... Clyde ......................................... Cockrell Hill............................. Coffee City ............................... Coleman ................................... College Station ........................ Colleyville ................................ Collinsville................................ Colorado City .......................... Columbus ................................. Comanche................................. Combes ..................................... Commerce ................................ Conroe ...................................... Converse................................... Coppell ..................................... Copperas Cove ........................ Corinth...................................... Corpus Christi.......................... Corrigan.................................... Corsicana.................................. Crane ........................................ Crockett.................................... Crowell ..................................... 1 The
Population
2,354 9,090 1,318 10,756 13,128 1,790 5,591 5,382 2,998 5,647 895 14,887 8,735 5,966 3,734 2,005 9,110 177,090 19,820 1,535 67,484 1,741 4,662 10,203 33,383 5,779 2,679 1,218 3,807 1,401 5,883 3,688 13,644 123,324 6,598 4,148 3,080 44,629 57,286 4,789 5,823 6,631 721 11,960 3,777 3,582 30,174 8,081 3,654 990 10,781 3,744 4,291 209 4,832 74,997 23,743 1,528 3,918 3,930 4,308 2,892 9,692 51,582 14,323 39,572 29,706 21,054 286,428 1,975 26,696 3,028 6,960 1,055
Violent crime
3 19 1 56 120 4 17 24 13 11 1 96 26 10 23 6 27 880 113 2 596 3 7 8 62 18 17 3 6 25 20 12 3 237 25 11 4 103 42 4 54 26 1 8 10 2 144 68 6 4 49 3 18 1 13 251 8 2 16 84 15 16 72 252 32 40 115 15 2,367 1 88 3 28 1
Murder and nonnegligent manslaughter 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 5 0 0 4 0 0 0 1 0 0 0 0 1 0 1 0 5 1 0 0 2 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 4 1 0 1 0 17 0 0 0 0 0
Forcible rape
0 0 0 1 6 1 4 0 3 1 0 12 2 2 1 0 0 21 11 0 34 0 1 0 12 1 1 0 0 0 5 0 0 3 0 1 0 8 5 0 2 0 0 0 1 0 29 13 0 0 2 0 0 0 0 38 0 2 8 9 2 3 10 25 8 1 11 3 238 0 14 0 1 0
Robbery
0 0 0 3 12 0 1 3 1 4 0 8 2 1 14 0 5 207 12 1 96 1 0 0 13 1 1 0 2 3 3 0 0 116 2 7 0 34 8 2 9 0 0 1 0 2 19 17 0 1 10 0 8 0 2 45 0 0 1 7 0 0 16 67 18 10 21 4 497 0 31 0 1 0
Aggravated assault
3 19 1 52 101 3 12 21 9 6 1 75 22 6 8 6 22 647 90 1 462 2 6 8 36 16 15 3 4 21 12 11 3 113 22 3 4 59 29 2 41 26 1 7 9 0 95 38 6 3 37 3 10 1 9 167 8 0 7 68 13 13 46 156 5 29 82 8 1,615 1 43 3 26 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
60 246 16 387 843 18 292 170 105 86 8 484 214 164 169 31 127 9,474 917 69 3,542 56 107 162 985 96 37 17 28 35 290 127 190 3,890 162 328 93 1,336 924 98 373 94 6 137 96 70 1,353 713 81 9 613 89 168 7 187 2,488 272 30 174 184 148 57 402 2,424 365 740 1,136 287 18,732 30 1,446 23 293 13
Burglary
13 35 1 93 245 12 46 44 25 22 6 122 54 40 61 14 41 1,442 174 13 1,000 14 14 69 163 22 25 6 8 22 51 18 15 893 28 50 12 312 187 17 109 30 2 31 18 28 304 116 31 4 118 21 52 4 86 481 39 16 35 57 20 16 109 441 84 134 316 45 3,407 11 351 5 66 6
Larcenytheft
46 200 15 282 560 5 221 122 71 58 2 322 143 110 84 15 75 7,574 700 52 2,404 42 91 90 750 69 11 8 15 10 236 97 170 2,636 125 264 75 890 696 81 236 57 4 98 72 42 962 558 46 5 443 60 85 3 90 1,919 229 11 132 121 126 35 273 1,792 265 543 785 215 14,501 16 1,009 16 205 6
Motor vehicle theft
1 11 0 12 38 1 25 4 9 6 0 40 17 14 24 2 11 458 43 4 138 0 2 3 72 5 1 3 5 3 3 12 5 361 9 14 6 134 41 0 28 7 0 8 6 0 87 39 4 0 52 8 31 0 11 88 4 3 7 6 2 6 20 191 16 63 35 27 824 3 86 2 22 1
Arson1
0 1 0 3 23 0 1 2 0 0 1 2 0 1 1 0 2 20 1 0 10 1 1 2 14 2 0 1 0 0 2 0 0 8 0 0 0 3 5 0 4 0 0 1 0 1 4 3 0 0 0 1 2 0 1 2 2 0 3 2 1 0 0 4 0 2 19 0 98 3 1 0 2 0
192
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Crowley..................................... Crystal City .............................. Cuero ........................................ Daingerfield ............................. Dalhart...................................... Dallas ........................................ Dalworthington Gardens ....... Danbury.................................... Dayton ...................................... Decatur ..................................... Deer Park ................................. De Kalb .................................... De Leon.................................... Del Rio ..................................... Denison .................................... Denton...................................... Denver City.............................. DeSoto...................................... Devine....................................... Diboll ........................................ Dickinson ................................. Dilley......................................... Dimmitt .................................... Donna ....................................... Double Oak ............................. Driscoll ..................................... Dublin ....................................... Dumas....................................... Duncanville .............................. Eagle Lake ............................... Eagle Pass................................. Early.......................................... Eastland.................................... East Mountain ......................... Edcouch.................................... Eden.......................................... Edgewood ................................ Edinburg................................... Edna.......................................... El Campo.................................. Electra....................................... Elgin.......................................... El Paso ...................................... Elsa............................................ Ennis ......................................... Euless........................................ Everman ................................... Fairfield..................................... Fair Oaks Ranch ...................... Farmers Branch ....................... Farmersville.............................. Farwell ...................................... Ferris ......................................... Flatonia..................................... Florence.................................... Floresville ................................. Flower Mound ......................... Floydada ................................... Forest Hill................................. Forney ....................................... Fort Stockton ........................... Fort Worth ................................ Frankston.................................. Fredericksburg......................... Freeport .................................... Freer.......................................... Friendswood............................. Friona........................................ Frisco......................................... Gainesville................................ Galena Park ............................. Galveston ................................. Ganado ..................................... Garland..................................... 1 The
Population
11,618 7,388 6,642 2,462 6,990 1,239,104 2,408 1,683 7,377 6,402 29,971 1,795 2,406 36,864 24,130 113,936 4,012 47,253 4,531 5,512 18,151 4,142 3,815 16,662 3,199 818 3,674 14,084 35,512 3,732 26,974 2,821 3,915 629 4,578 2,386 1,478 69,708 5,854 10,799 2,854 9,951 616,029 6,758 19,520 52,899 5,739 3,612 6,082 26,455 3,481 1,298 2,414 1,423 1,133 7,463 68,191 3,214 13,771 14,020 7,350 670,693 1,276 11,004 12,588 3,022 34,140 3,698 90,674 16,710 10,177 57,590 1,848 218,236
Violent crime
26 6 25 8 30 13,248 5 1 24 17 76 9 4 73 111 366 5 165 7 12 65 8 11 99 2 6 8 54 133 9 114 4 8 3 5 6 1 269 9 35 8 36 2,574 103 104 115 18 7 6 77 1 0 10 2 0 16 48 5 78 22 12 4,474 5 5 63 9 38 11 90 92 26 585 0 763
Murder and nonnegligent manslaughter 0 0 1 0 0 200 0 0 1 0 0 0 0 0 2 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 17 0 0 2 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 58 0 1 1 0 0 0 1 1 0 7 0 7
Forcible rape
10 0 9 0 2 511 0 0 6 3 6 0 0 0 5 76 1 9 1 5 5 0 0 8 0 0 0 16 10 1 9 1 1 0 0 0 0 20 2 13 0 10 258 1 6 0 1 0 2 5 0 0 1 0 0 1 4 0 2 3 0 335 0 0 6 0 2 0 7 15 1 82 0 52
Robbery
5 1 3 0 2 7,222 1 0 4 6 17 2 0 16 24 84 0 54 0 0 15 0 0 14 0 0 0 3 78 1 17 0 0 0 0 0 0 52 2 3 1 4 472 8 22 42 1 2 0 45 0 0 5 0 0 1 3 0 31 5 2 1,620 1 0 8 0 7 1 21 18 7 209 0 323
Aggravated assault
11 5 12 8 26 5,315 4 1 13 8 53 7 4 57 80 204 4 101 6 7 45 8 11 77 2 6 8 35 45 7 87 3 7 3 5 6 1 196 5 19 7 21 1,827 94 76 71 16 5 4 27 1 0 4 2 0 14 36 5 45 14 10 2,461 4 4 48 9 29 10 61 58 18 287 0 381
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
239 218 169 123 168 83,962 39 3 232 211 866 90 28 1,255 1,221 3,505 57 1,550 149 167 586 30 118 1,086 15 110 45 549 1,478 78 1,085 67 115 9 106 23 22 3,777 131 330 98 320 19,722 438 1,054 1,729 171 51 40 1,431 44 12 158 17 11 209 620 56 633 288 263 36,681 46 211 519 60 483 49 2,688 915 293 3,475 5 8,243
Burglary
64 74 34 50 55 22,472 6 2 51 33 176 43 7 230 290 718 5 526 31 43 166 11 28 236 0 17 14 95 360 10 218 12 19 8 30 9 4 683 23 66 43 122 2,149 96 230 435 40 15 22 239 16 7 48 3 5 48 114 21 108 69 88 9,008 12 20 176 17 112 25 524 262 91 757 1 2,026
Larcenytheft
175 133 128 65 103 47,699 26 1 168 156 627 45 20 925 879 2,614 51 877 113 118 363 17 84 771 14 91 30 438 949 67 830 55 88 0 75 14 17 2,705 102 253 43 181 14,545 307 756 1,157 117 28 17 1,047 22 5 96 13 6 158 467 33 460 194 163 24,988 30 185 306 41 335 20 2,100 596 174 2,394 4 5,516
Motor vehicle theft
0 11 7 8 10 13,791 7 0 13 22 63 2 1 100 52 173 1 147 5 6 57 2 6 79 1 2 1 16 169 1 37 0 8 1 1 0 1 389 6 11 12 17 3,028 35 68 137 14 8 1 145 6 0 14 1 0 3 39 2 65 25 12 2,685 4 6 37 2 36 4 64 57 28 324 0 701
Arson1
2 0 0 1 0 909 0 0 3 7 7 0 0 4 1 6 0 5 0 0 2 2 0 6 0 0 0 2 0 0 1 1 1 0 1 0 0 20 0 2 5 0 81 1 3 9 3 0 0 4 1 0 1 0 0 1 3 0 0 0 0 227 0 1 1 0 2 0 6 1 0 16 0 34
SECTION II: OFFENSES REPORTED 193 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Gatesville.................................. Georgetown ............................. Giddings ................................... Gilmer....................................... Gladewater............................... Glenn Heights.......................... Godley ...................................... Gonzales ................................... Gorman..................................... Graham..................................... Granbury .................................. Grand Prairie ........................... Grand Saline ............................ Granger..................................... Granite Shoals ......................... Grapeland ................................ Grapevine................................. Greenville................................. Gregory..................................... Groesbeck ................................ Groves....................................... Gun Barrel City ....................... Hale Center.............................. Hallettsville .............................. Hallsville................................... Haltom City.............................. Hamlin ...................................... Harker Heights ........................ Harlingen.................................. Haskell...................................... Hawk Cove............................... Hawkins.................................... Hawley...................................... Hearne ...................................... Heath ........................................ Hedwig Village......................... Helotes...................................... Hemphill................................... Hempstead ............................... Henderson................................ Hereford ................................... Hewitt ....................................... Hickory Creek ......................... Hidalgo ..................................... Highland Park.......................... Highland Village...................... Hill Country Village ................ Hillsboro................................... Hitchcock ................................. Holliday .................................... Hollywood Park....................... Hondo ....................................... Hooks........................................ Horizon City ............................ Horseshoe Bay......................... Houston .................................... Howe......................................... Hubbard ................................... Hudson ..................................... Hudson Oaks ........................... Humble ..................................... Huntington ............................... Huntsville ................................. Hurst ......................................... Hutchins ................................... Hutto......................................... Idalou........................................ Ingleside ................................... Ingram....................................... Iowa Park ................................. Irving......................................... Italy ........................................... Itasca ......................................... Jacinto City............................... 1 The
Population
15,450 44,834 5,517 5,191 6,355 10,739 1,011 7,534 1,248 8,689 8,040 157,913 3,296 1,359 2,794 1,400 49,498 26,130 2,261 4,368 14,610 6,168 2,176 2,532 2,984 40,114 1,954 23,726 64,984 2,683 617 1,520 592 4,751 7,263 2,317 6,826 1,070 7,188 11,633 14,528 13,522 3,553 12,008 9,062 16,298 1,083 9,161 7,389 1,821 3,276 9,089 2,934 11,855 3,822 2,169,544 2,749 1,706 4,191 1,944 14,977 2,099 37,906 38,452 3,039 12,635 2,052 9,355 1,886 6,100 196,676 2,124 1,655 9,890
Violent crime
34 64 39 25 38 33 1 111 1 17 17 608 1 1 6 14 88 189 6 7 39 48 8 7 3 148 2 51 334 3 2 2 1 22 9 9 2 1 50 95 62 28 10 16 8 16 0 40 26 1 1 53 0 13 9 24,564 5 5 1 3 125 1 168 204 17 22 4 27 2 17 729 7 9 89
Murder and nonnegligent manslaughter 0 0 0 1 0 1 0 0 0 0 0 6 0 0 0 0 0 5 1 0 0 0 0 0 0 3 0 1 7 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 351 0 0 0 0 0 0 1 0 0 0 0 2 0 0 9 0 0 0
Forcible rape
4 15 2 3 13 1 0 8 0 5 0 74 0 0 0 0 11 8 1 0 3 3 0 3 1 15 2 9 28 1 0 0 0 0 0 2 1 0 3 10 2 6 2 1 0 2 0 3 3 0 0 10 0 1 1 694 1 0 0 1 9 0 14 16 2 5 1 11 0 2 30 0 0 3
Robbery
4 9 2 3 6 3 0 8 0 0 0 225 1 0 0 1 32 51 1 2 20 4 1 1 0 35 0 21 63 0 0 0 0 2 0 4 0 0 13 15 2 4 4 6 6 2 0 11 3 1 0 1 0 4 0 11,479 0 2 0 0 68 0 44 42 6 0 1 2 0 0 240 0 0 18
Aggravated assault
26 40 35 18 19 28 1 95 1 12 17 303 0 1 6 13 45 125 3 5 16 41 7 3 2 95 0 20 236 2 2 2 1 19 9 3 1 1 34 69 58 18 4 9 2 12 0 26 20 0 1 42 0 8 8 12,040 4 3 1 2 48 1 109 146 9 17 2 12 2 15 450 7 9 68
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
393 743 170 337 366 297 10 347 21 206 528 7,330 52 20 97 31 1,515 1,454 137 72 532 256 26 77 42 2,186 25 689 4,546 78 14 27 3 249 88 193 129 32 301 745 437 242 93 194 270 75 54 284 255 15 92 284 15 174 75 123,326 28 1 22 75 1,483 25 1,048 2,115 164 129 46 203 59 82 9,030 37 14 387
Burglary
114 132 25 61 101 150 6 118 13 44 38 1,577 8 3 51 10 185 338 8 32 147 56 12 6 10 537 3 207 1,054 21 7 5 3 60 15 43 40 9 95 111 112 58 8 45 45 13 11 43 90 6 15 43 7 52 23 29,044 9 1 15 6 145 10 207 252 13 33 16 71 11 25 1,730 10 4 105
Larcenytheft
260 555 138 260 236 119 3 225 6 148 466 4,575 42 17 46 20 1,205 1,023 127 38 333 186 13 69 29 1,450 17 452 3,241 55 7 21 0 183 70 141 81 22 170 595 300 171 77 122 214 60 38 221 133 9 75 227 4 101 49 74,817 14 0 7 61 1,122 13 788 1,762 123 93 27 125 44 49 6,306 27 10 231
Motor vehicle theft
19 56 7 16 29 28 1 4 2 14 24 1,178 2 0 0 1 125 93 2 2 52 14 1 2 3 199 5 30 251 2 0 1 0 6 3 9 8 1 36 39 25 13 8 27 11 2 5 20 32 0 2 14 4 21 3 19,465 5 0 0 8 216 2 53 101 28 3 3 7 4 8 994 0 0 51
Arson1
1 2 0 2 11 3 0 1 0 3 3 34 0 0 2 0 2 0 1 1 1 0 0 0 0 12 1 0 28 0 0 0 0 0 0 0 0 1 0 5 6 0 0 3 1 1 0 6 1 0 1 0 0 2 0 1,047 1 0 0 0 3 0 7 5 4 0 0 3 0 1 34 0 0 1
194
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Jacksboro .................................. Jacksonville .............................. Jamaica Beach.......................... Jasper ........................................ Jefferson ................................... Jersey Village ........................... Johnson City............................. Jones Creek .............................. Jonestown ................................. Joshua ....................................... Junction .................................... Karnes City .............................. Katy........................................... Kaufman ................................... Keene........................................ Keller ........................................ Kemah....................................... Kemp......................................... Kempner................................... Kenedy...................................... Kennedale ................................ Kerens....................................... Kermit....................................... Kerrville.................................... Kilgore ...................................... Killeen ...................................... Kingsville.................................. Kirby ......................................... Kirbyville.................................. Kountze .................................... Kress ......................................... Kyle ........................................... Lacy-Lakeview......................... La Feria..................................... Lago Vista................................. La Grange ................................ Laguna Vista ............................ La Joya...................................... Lake Dallas .............................. Lake Jackson............................ Lakeside ................................... Lakeview .................................. Lakeway ................................... Lake Worth .............................. La Marque................................ Lamesa...................................... Lampasas.................................. Lancaster .................................. La Porte .................................... Laredo ...................................... La Vernia .................................. Lavon ........................................ League City .............................. Leander .................................... Leon Valley .............................. Levelland.................................. Lewisville.................................. Lexington ................................. Liberty ...................................... Lindale...................................... Linden....................................... Little Elm ................................. Littlefield.................................. Live Oak................................... Livingston................................. Llano ......................................... Lockhart ................................... Lockney .................................... Lone Star .................................. Longview .................................. Lorena ...................................... Lorenzo .................................... Los Fresnos .............................. Lubbock.................................... 1 The
Population
4,653 14,481 1,127 7,435 1,991 7,176 1,581 2,120 2,192 5,731 2,647 3,399 13,830 8,294 6,301 38,439 2,497 1,309 1,190 3,363 6,848 1,844 5,144 22,636 12,152 104,188 24,235 8,560 2,020 2,172 779 24,778 5,761 6,890 5,986 4,669 3,068 4,833 7,423 27,788 1,279 6,477 9,774 4,732 14,081 9,167 7,973 35,090 34,165 221,253 1,203 424 68,743 23,175 9,876 12,653 97,184 1,265 8,474 4,503 2,181 26,824 6,213 12,117 6,567 3,326 13,946 1,802 1,597 77,003 1,656 1,241 5,465 213,988
Violent crime
2 106 1 34 16 23 1 3 14 16 22 15 58 18 1 19 15 2 0 31 45 12 11 73 60 815 243 15 7 11 0 19 35 18 4 8 6 1 18 56 1 10 13 21 121 50 29 203 92 1,281 4 1 87 38 41 81 185 4 30 13 7 28 42 23 39 2 83 4 11 739 3 0 4 1,953
Murder and nonnegligent manslaughter 0 1 0 1 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 12 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 1 0 1 0 10 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0 5 0 0 0 15
Forcible rape
0 18 0 0 1 0 0 2 1 0 0 3 1 2 1 4 2 0 0 0 1 0 2 13 12 82 12 0 0 1 0 0 12 6 0 2 1 0 4 5 0 0 1 0 21 1 5 18 4 81 0 0 18 0 4 11 21 0 2 0 2 2 0 3 5 0 7 1 2 55 0 0 1 101
Robbery
0 27 0 10 0 4 0 0 0 1 0 2 14 7 0 5 3 0 0 0 14 1 1 11 14 202 17 5 1 2 0 0 3 3 0 3 2 0 4 18 0 2 0 6 26 2 1 16 10 325 0 0 24 3 14 4 73 0 6 3 0 2 1 6 4 0 2 0 2 189 2 0 0 259
Aggravated assault
2 60 1 23 15 19 1 1 9 15 22 10 43 9 0 9 10 2 0 31 30 11 8 49 34 519 213 10 6 8 0 19 20 9 4 3 3 1 10 32 1 8 12 15 71 46 23 168 78 865 4 1 45 35 23 66 90 4 21 10 5 24 41 14 30 2 72 3 7 490 1 0 3 1,578
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
64 754 19 365 96 280 34 7 52 87 60 101 680 380 104 515 96 58 0 72 327 69 35 903 850 5,680 1,113 169 32 58 4 213 213 436 107 66 56 48 193 832 22 64 197 538 610 203 206 1,841 357 13,949 31 24 1,713 432 673 524 2,755 40 315 215 49 237 186 615 356 68 362 61 56 5,083 40 11 89 11,684
Burglary
7 191 5 68 17 44 7 6 10 38 7 24 84 128 22 79 9 14 0 40 87 32 10 154 142 2,319 314 51 5 19 1 43 61 97 33 18 12 25 36 148 10 17 39 48 292 60 33 689 94 1,878 10 13 360 61 102 180 553 18 82 21 17 48 57 94 76 11 103 26 19 1,116 9 4 20 3,136
Larcenytheft
48 528 12 276 77 187 27 1 41 38 51 75 568 230 78 424 80 38 0 31 201 32 17 717 645 3,098 753 106 22 37 3 168 130 334 69 48 39 23 139 657 12 43 153 469 269 131 164 925 218 10,534 19 11 1,274 356 515 335 1,916 20 219 190 32 176 121 483 259 55 247 35 35 3,492 30 7 69 7,942
Motor vehicle theft
9 35 2 21 2 49 0 0 1 11 2 2 28 22 4 12 7 6 0 1 39 5 8 32 63 263 46 12 5 2 0 2 22 5 5 0 5 0 18 27 0 4 5 21 49 12 9 227 45 1,537 2 0 79 15 56 9 286 2 14 4 0 13 8 38 21 2 12 0 2 475 1 0 0 606
Arson1
0 2 0 1 1 0 0 0 1 0 0 0 2 1 0 0 2 2 0 2 2 0 0 3 21 36 3 2 0 1 0 0 1 0 1 0 0 0 0 4 0 0 2 0 5 2 2 5 13 101 1 0 6 3 0 9 4 1 0 0 1 0 2 1 12 0 1 0 0 25 0 0 1 34
SECTION II: OFFENSES REPORTED 195 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Lufkin ....................................... Luling........................................ Lumberton ............................... Lytle .......................................... Madisonville............................. Magnolia................................... Malakoff ................................... Manor ....................................... Mansfield.................................. Manvel ...................................... Marble Falls.............................. Marfa......................................... Marion ...................................... Marlin ....................................... Marshall.................................... Mart........................................... Martindale................................ Mathis ....................................... McAllen.................................... McGregor ................................. McKinney ................................. Meadows Place ........................ Melissa ...................................... Memorial Villages ................... Memphis ................................... Mercedes .................................. Meridian ................................... Merkel....................................... Mesquite ................................... Mexia ........................................ Midland .................................... Midlothian................................ Milford...................................... Mineral Wells ........................... Mission...................................... Missouri City............................ Monahans ................................. Mont Belvieu ........................... Montgomery............................. Morgans Point Resort ............. Mount Pleasant........................ Muleshoe .................................. Munday..................................... Murphy ..................................... Mustang Ridge......................... Nacogdoches ............................ Nash .......................................... Nassau Bay............................... Navasota ................................... Nederland................................. Needville .................................. New Boston.............................. New Braunfels ......................... New Deal.................................. Nocona...................................... Nolanville ................................. Northlake ................................. North Richland Hills............... Oak Ridge ................................ Oak Ridge North..................... Odessa....................................... O’Donnell ................................ Olmos Park .............................. Olney......................................... Olton ......................................... Onalaska................................... Orange ...................................... Orange Grove .......................... Overton..................................... Ovilla......................................... Oyster Creek............................ Paducah .................................... Palacios ..................................... Palestine ................................... 1 The
Population
33,997 5,442 9,853 2,733 4,349 1,288 2,374 2,993 43,901 4,912 7,562 1,903 1,135 6,097 23,978 2,517 1,117 5,486 129,455 4,862 118,113 6,919 3,395 11,714 2,363 14,879 1,510 2,587 132,399 6,726 103,118 15,600 748 17,083 66,216 77,166 6,340 2,645 593 4,291 15,360 4,481 1,291 15,497 931 31,300 2,426 4,040 7,464 16,325 3,585 4,630 51,860 726 3,291 2,393 1,109 63,270 258 3,422 95,839 966 2,298 3,328 2,232 1,564 17,793 1,426 2,337 3,925 1,236 1,286 5,158 18,250
Violent crime
198 21 11 4 38 8 18 10 82 14 40 3 2 33 191 6 1 20 372 19 255 10 3 5 7 94 0 8 577 45 343 17 4 60 94 163 51 7 4 5 67 15 1 7 4 107 1 7 39 52 3 9 158 1 5 7 2 267 1 6 529 0 3 5 7 3 208 4 35 7 5 0 40 121
Murder and nonnegligent manslaughter 3 0 0 0 0 0 0 0 0 0 1 0 0 1 4 0 0 0 6 0 1 0 0 0 0 4 0 0 6 1 4 1 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 6 0 0 0 0 0 2 0 0 0 0 0 0 1
Forcible rape
18 2 4 0 4 0 2 1 7 0 10 0 0 3 27 0 0 1 27 1 49 0 0 0 0 1 0 2 8 4 57 2 1 14 8 6 2 3 0 1 2 2 0 1 0 19 1 0 1 9 0 0 10 0 1 1 0 28 0 1 7 0 1 0 0 1 10 0 2 1 0 0 4 3
Robbery
50 1 2 1 9 0 1 1 29 3 9 0 0 6 48 0 0 5 114 1 44 6 0 3 1 10 0 1 199 8 76 4 0 3 32 63 2 3 0 2 14 0 0 2 0 26 0 3 7 11 0 3 35 0 0 0 0 36 0 1 92 0 1 0 0 0 54 0 0 0 0 0 6 22
Aggravated assault
127 18 5 3 25 8 15 8 46 11 20 3 2 23 112 6 1 14 225 17 161 4 3 2 6 79 0 5 364 32 206 10 3 43 52 94 47 1 4 2 50 13 1 4 4 62 0 4 31 32 3 6 112 1 4 6 2 201 1 4 424 0 1 5 7 2 142 4 33 6 5 0 30 95
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
1,619 213 318 114 221 29 120 97 1,054 75 402 46 23 75 1,308 57 5 210 7,908 250 2,626 117 82 226 66 796 0 48 5,543 465 3,673 269 11 775 2,571 1,163 171 139 11 63 462 166 19 163 14 1,159 48 112 343 732 21 342 2,078 3 73 111 24 2,256 12 97 4,302 6 59 59 27 8 1,298 39 52 37 60 18 159 722
Burglary
457 50 63 36 62 10 40 29 251 18 46 16 5 25 451 14 2 59 824 66 531 29 19 78 37 197 0 19 944 76 835 54 4 194 370 342 61 23 2 14 103 63 6 27 5 196 5 18 75 155 13 66 322 1 28 19 6 482 6 10 870 0 12 14 6 3 419 15 18 8 30 13 71 145
Larcenytheft
1,047 152 234 67 143 16 76 66 749 49 338 29 16 42 798 41 2 151 6,537 178 1,949 78 57 141 27 513 0 28 3,916 379 2,630 173 7 537 1,906 749 103 97 7 45 333 91 11 135 7 909 39 88 247 536 5 254 1,673 2 41 88 18 1,594 4 69 3,144 5 45 39 21 3 768 22 33 28 26 3 81 514
Motor vehicle theft
115 11 21 11 16 3 4 2 54 8 18 1 2 8 59 2 1 0 547 6 146 10 6 7 2 86 0 1 683 10 208 42 0 44 295 72 7 19 2 4 26 12 2 1 2 54 4 6 21 41 3 22 83 0 4 4 0 180 2 18 288 1 2 6 0 2 111 2 1 1 4 2 7 63
Arson1
6 0 0 0 2 0 0 0 7 1 1 1 0 0 22 1 0 2 17 0 20 1 0 0 4 3 0 0 29 1 9 5 0 3 1 6 1 1 0 0 4 0 0 0 0 3 0 0 3 3 0 3 20 2 1 0 0 0 1 1 16 0 0 0 0 0 13 0 0 0 0 0 1 10
196
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Palmer....................................... Pampa ....................................... Panhandle................................. Pantego ..................................... Paris........................................... Parker ....................................... Pasadena................................... Pearland.................................... Pearsall ..................................... Pecos ......................................... Pelican Bay............................... Penitas....................................... Perryton.................................... Pflugerville ............................... Pharr ......................................... Pilot Point................................. Pinehurst .................................. Pittsburg ................................... Plainview .................................. Plano ......................................... Pleasanton ................................ Ponder....................................... Port Aransas............................. Port Arthur............................... Port Isabel ................................ Portland .................................... Port Lavaca .............................. Port Neches .............................. Poteet ........................................ Pottsboro .................................. Premont .................................... Presidio ..................................... Primera ..................................... Princeton .................................. Progreso.................................... Prosper...................................... Queen City ............................... Quinlan ..................................... Quitman.................................... Ransom Canyon ...................... Raymondville........................... Red Oak ................................... Refugio ..................................... Reno.......................................... Richardson ............................... Richland Hills .......................... Richmond ................................. Richwood ................................. Riesel ........................................ Rio Grande City ...................... Rising Star ................................ River Oaks ............................... Roanoke ................................... Robinson .................................. Robstown ................................. Rockdale .................................. Rockport .................................. Rockwall................................... Rollingwood............................. Roma......................................... Roman Forest .......................... Roscoe ...................................... Rosebud.................................... Rose City .................................. Rosenberg ................................ Round Rock............................. Rowlett ..................................... Royse City ................................ Runaway Bay........................... Rusk .......................................... Sabinal ...................................... Sachse ....................................... Saginaw..................................... Salado ....................................... 1 The
Population
2,200 16,998 2,619 2,344 26,583 2,781 145,235 73,190 7,779 7,946 1,609 1,189 8,305 32,157 63,666 4,293 2,202 4,648 22,054 259,771 9,742 1,114 3,812 55,481 5,433 16,645 11,658 12,803 3,719 2,130 2,822 4,939 3,356 5,057 5,375 5,828 1,577 1,466 2,273 1,079 9,554 8,538 2,760 3,073 100,933 8,067 13,979 3,389 1,012 14,098 834 6,914 3,758 10,011 12,361 6,066 9,464 34,872 1,363 11,394 3,788 1,260 1,365 514 33,131 97,727 56,432 8,086 1,409 5,173 1,672 19,028 19,818 1,926
Violent crime
2 114 6 7 140 1 635 123 17 20 2 5 7 53 249 24 14 22 87 676 36 2 33 475 27 20 20 29 15 2 12 3 0 7 4 0 11 1 16 0 239 17 3 3 290 21 70 2 1 54 1 5 5 14 78 15 13 36 0 30 0 0 5 0 96 112 72 47 0 19 9 21 37 2
Murder and nonnegligent manslaughter 0 1 0 0 1 0 2 2 0 0 0 0 0 0 7 0 0 0 0 2 0 0 0 9 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0
Forcible rape
0 19 2 0 1 0 75 26 0 0 1 0 0 17 23 3 0 6 9 51 10 1 3 47 9 6 3 1 0 0 0 0 0 1 0 0 0 0 1 0 13 1 0 0 22 4 11 0 0 2 0 0 0 8 3 1 0 11 0 10 0 0 0 0 14 21 9 3 0 4 0 3 7 1
Robbery
1 3 0 4 21 0 149 30 0 4 0 0 1 7 64 0 2 5 19 161 1 1 3 196 3 2 1 4 0 0 0 0 0 0 2 0 3 0 0 0 8 2 0 1 136 5 15 0 0 7 0 3 2 2 19 4 5 6 0 6 0 0 2 0 28 23 7 0 0 1 1 3 1 0
Aggravated assault
1 91 4 3 117 1 409 65 17 16 1 5 6 29 155 21 12 11 59 462 25 0 27 223 15 11 16 23 15 2 12 3 0 6 2 0 8 1 15 0 217 13 3 2 130 12 44 2 1 44 1 2 3 4 56 10 8 19 0 13 0 0 3 0 54 67 56 44 0 14 7 15 29 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
36 895 19 168 1,561 35 5,014 1,852 329 230 37 45 77 786 3,696 50 104 227 1,203 7,973 337 30 388 2,285 327 396 400 524 105 83 62 43 96 148 162 135 76 75 28 12 652 271 28 40 3,107 367 293 64 11 540 0 188 91 196 689 182 521 820 28 194 5 5 19 0 862 2,400 1,171 116 10 101 32 264 481 25
Burglary
10 215 4 29 405 5 1,034 420 102 56 15 31 16 107 792 14 24 59 245 1,384 55 8 65 747 30 68 90 98 12 34 19 6 22 32 27 22 17 10 7 2 212 112 4 12 793 109 75 17 3 146 0 57 14 26 267 49 92 122 5 45 1 3 6 0 201 333 270 23 8 38 11 77 99 6
Larcenytheft
23 634 15 131 1,115 26 3,507 1,302 222 167 22 7 56 647 2,586 33 75 165 908 6,168 270 21 297 1,280 294 317 284 395 90 43 34 31 69 109 125 111 57 61 20 10 427 138 22 25 2,084 212 186 43 8 313 0 116 72 163 397 122 415 651 23 84 3 2 13 0 588 1,997 840 88 2 58 21 174 350 19
Motor vehicle theft
3 46 0 8 41 4 473 130 5 7 0 7 5 32 318 3 5 3 50 421 12 1 26 258 3 11 26 31 3 6 9 6 5 7 10 2 2 4 1 0 13 21 2 3 230 46 32 4 0 81 0 15 5 7 25 11 14 47 0 65 1 0 0 0 73 70 61 5 0 5 0 13 32 0
Arson1
0 1 0 0 16 0 24 3 0 0 0 10 1 4 7 0 0 0 6 44 3 0 2 32 0 1 1 1 1 0 0 0 0 0 1 0 2 0 0 0 3 1 0 0 16 0 8 0 0 0 0 0 1 0 7 0 1 1 0 0 0 0 0 0 6 9 2 0 0 1 1 2 4 0
SECTION II: OFFENSES REPORTED 197 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
San Angelo ............................... San Antonio ............................. San Augustine .......................... San Benito ................................ San Diego ................................. Sanger ....................................... San Juan.................................... San Marcos............................... San Saba ................................... Sansom Park Village ............... Santa Anna............................... Santa Fe .................................... Santa Rosa ............................... Schertz ...................................... Seabrook .................................. Seadrift ..................................... Seagoville ................................. Seagraves.................................. Sealy.......................................... Seguin ....................................... Selma......................................... Seminole ................................... Seven Points ............................. Seymour.................................... Shallowater .............................. Shamrock.................................. Shavano Park ........................... Shenandoah.............................. Sherman.................................... Silsbee ....................................... Sinton........................................ Slaton ........................................ Smithville.................................. Snyder ....................................... Socorro ..................................... Somerset ................................... Somerville ................................ Sonora....................................... Sour Lake ................................. South Houston......................... Southlake.................................. South Padre Island .................. Southside Place........................ Spearman.................................. Springtown ............................... Spring Valley ............................ Stafford ..................................... Stamford ................................... Stanton...................................... Stephenville.............................. Stratford ................................... Sudan ........................................ Sugar Land ............................... Sullivan City............................. Sulphur Springs ....................... Sunrise Beach Village ............. Sunset Valley ............................ Surfside Beach ......................... Sweeny...................................... Sweetwater ............................... Taft ............................................ Tahoka ...................................... Tatum ........................................ Taylor ........................................ Teague....................................... Temple ...................................... Terrell........................................ Terrell Hills .............................. Texarkana ................................. Texas City ................................. The Colony............................... Thorndale ................................. Thrall......................................... Three Rivers............................. 1 The
Population
88,285 1,316,882 2,429 25,150 4,520 7,391 33,213 48,979 2,548 4,140 1,034 10,735 2,995 29,519 11,448 1,433 11,452 2,360 6,267 25,203 3,219 6,105 1,274 2,639 2,227 1,834 3,138 1,954 37,985 6,844 5,491 5,642 4,543 10,549 31,588 1,832 1,723 3,081 1,748 16,348 26,367 2,747 1,636 2,911 2,905 3,717 20,460 3,175 2,229 16,219 1,878 1,020 82,402 4,466 15,396 757 798 880 3,613 10,519 3,435 2,691 1,198 15,597 4,785 55,057 19,302 5,136 36,237 45,574 42,563 1,335 874 1,707
Violent crime
356 7,327 17 64 24 13 101 168 2 21 1 40 10 60 38 0 45 14 9 64 10 3 12 13 1 5 0 3 146 19 30 15 17 96 109 0 19 20 2 106 12 54 1 4 22 0 98 13 1 51 2 12 100 7 30 0 2 7 8 100 2 2 4 13 5 203 149 1 506 301 59 3 4 6
Murder and nonnegligent manslaughter 1 122 0 0 0 0 1 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 9 4 1 0 0 0
Forcible rape
46 635 0 5 0 2 7 15 0 1 0 10 1 8 9 0 3 2 0 11 1 2 0 5 0 1 0 0 6 0 4 0 3 12 5 0 1 1 0 3 4 13 0 0 1 0 13 1 0 12 1 3 17 1 5 0 0 0 1 14 1 1 2 1 1 22 15 0 27 13 9 0 0 0
Robbery
48 2,445 3 14 1 0 21 46 0 0 0 3 1 6 2 0 14 0 0 12 1 0 9 0 1 0 0 1 19 7 7 1 2 1 26 0 4 0 0 54 2 1 1 0 3 0 41 0 0 3 0 0 39 1 3 0 2 0 0 10 0 0 1 7 0 76 36 0 105 105 12 0 0 0
Aggravated assault
261 4,125 14 45 23 11 72 107 2 20 1 27 8 44 26 0 28 12 9 41 7 1 3 8 0 3 0 2 121 12 19 14 12 83 78 0 14 19 2 47 6 38 0 4 18 0 42 12 1 36 1 9 44 5 22 0 0 7 7 75 1 1 1 5 4 104 98 1 365 179 37 3 4 6
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
4,473 84,143 44 1,356 131 153 1,648 1,650 9 107 18 280 74 626 245 27 596 10 222 1,226 301 91 59 74 28 51 74 205 1,529 187 150 170 133 322 678 26 65 59 48 674 539 687 16 24 60 110 947 88 20 495 20 21 1,578 85 252 5 153 34 111 458 138 55 28 504 57 2,973 1,058 129 2,401 2,410 699 9 20 53
Burglary
932 16,750 13 305 64 24 388 255 2 19 6 87 22 91 49 11 158 2 70 251 49 17 10 32 10 20 8 14 336 39 33 50 25 111 161 3 9 13 13 126 88 103 7 5 13 22 179 50 12 83 9 7 210 47 70 3 7 17 28 155 16 16 11 104 11 723 305 53 507 573 148 2 1 24
Larcenytheft
3,312 60,669 31 1,005 66 118 1,155 1,251 7 69 12 158 51 512 171 13 339 8 138 922 239 71 44 40 16 26 65 180 1,141 142 112 114 107 199 456 22 54 41 32 432 435 547 4 18 45 82 623 35 7 395 10 10 1,268 26 168 2 141 13 75 282 120 37 15 384 38 2,107 640 73 1,749 1,663 496 7 17 23
Motor vehicle theft
229 6,724 0 46 1 11 105 144 0 19 0 35 1 23 25 3 99 0 14 53 13 3 5 2 2 5 1 11 52 6 5 6 1 12 61 1 2 5 3 116 16 37 5 1 2 6 145 3 1 17 1 4 100 12 14 0 5 4 8 21 2 2 2 16 8 143 113 3 145 174 55 0 2 6
Arson1
20 459 0 3 1 3 8 5 0 0 0 3 2 0 1 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 1 2 1 2 5 0 2 2 0 0 0 0 0 5 1 0 2 0 0 0 0 0 6 0 4 0 0 1 0 2 2 0 0 1 0 4 11 0 11 15 4 0 0 0
198
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
UTAH
1 The
City
Tioga ......................................... Tolar .......................................... Tomball..................................... Tool ........................................... Trinity........................................ Trophy Club ............................. Troy ........................................... Tulia .......................................... Tye ............................................. Tyler .......................................... Universal City .......................... University Park........................ Uvalde....................................... Van ............................................ Van Alstyne .............................. Vernon ...................................... Victoria ..................................... Vidor ......................................... Waco ......................................... Waelder..................................... Wake Village ............................ Waller........................................ Wallis......................................... Watauga .................................... Waxahachie .............................. Weatherford ............................. Webster..................................... Weimar ..................................... Wells.......................................... Weslaco..................................... West........................................... West Columbia ........................ West Lake Hills ....................... West Orange ............................ Westover Hills.......................... West Tawakoni......................... West University Place ............. Westworth ................................ Wharton.................................... Whitehouse .............................. White Oak ................................ Whitesboro............................... White Settlement..................... Whitney .................................... Wichita Falls............................. Willis ......................................... Willow Park.............................. Wills Point ................................ Wilmer ...................................... Windcrest.................................. Wink.......................................... Winnsboro ................................ Winters...................................... Wolfforth .................................. Woodville ................................. Woodway .................................. Wortham................................... Wylie ......................................... Yoakum .................................... Yorktown.................................. Alpine/Highland...................... American Fork/Cedar Hills.... Blanding ................................... Bountiful .................................. Brian Head............................... Brigham City............................ Cedar City ................................ Centerville................................ Clearfield.................................. Clinton ...................................... Draper....................................... Farmington ............................... Grantsville................................ Gunnison ..................................
Population
924 684 10,176 2,495 2,762 7,836 1,344 4,664 1,114 95,596 18,238 24,300 16,594 2,632 2,948 11,161 62,404 11,158 122,514 1,018 5,528 2,034 1,298 23,931 27,500 25,500 10,070 2,031 803 32,707 2,693 4,216 3,044 3,935 689 1,773 15,249 3,079 9,355 7,556 6,350 4,054 16,106 2,101 98,717 4,298 4,057 3,940 3,616 5,156 878 3,901 2,630 3,281 2,281 8,693 1,076 36,386 5,659 2,222 24,586 35,945 3,161 41,132 117 18,609 26,479 15,140 27,419 19,882 38,875 16,078 8,329 2,768
Violent crime
0 0 32 6 33 5 4 15 4 665 37 11 87 4 10 70 346 48 1,139 0 3 22 1 69 118 43 46 3 3 136 1 10 3 19 0 12 10 4 70 4 5 2 39 5 576 37 9 4 14 12 0 26 10 4 6 22 5 45 7 5 6 34 3 45 1 26 37 13 42 12 29 5 6 12
Murder and nonnegligent manslaughter 0 0 2 1 1 0 0 0 0 2 0 0 1 0 0 2 1 1 6 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0
Forcible rape
0 0 6 0 0 1 0 0 0 59 2 2 8 1 0 8 37 9 95 0 0 2 0 0 10 10 7 0 0 15 0 1 0 3 0 1 0 0 0 0 2 1 3 1 31 2 4 0 1 0 0 2 1 0 0 3 0 10 0 2 6 5 0 9 0 5 14 3 11 5 8 1 3 0
Robbery
0 0 7 0 3 0 1 3 2 125 8 5 12 0 0 7 72 7 275 0 1 7 0 18 18 7 19 2 0 34 0 3 1 5 0 0 8 1 12 1 1 0 12 1 228 15 0 2 2 7 0 0 0 0 2 0 1 5 0 0 0 5 0 10 0 4 3 0 7 2 1 1 0 1
Aggravated assault
0 0 17 5 29 4 3 12 2 479 27 4 66 3 10 53 236 31 763 0 2 13 1 51 90 26 20 1 3 85 1 5 2 11 0 11 2 3 58 3 2 1 24 3 313 19 5 2 11 5 0 24 9 4 3 19 4 30 7 3 0 23 3 26 1 17 20 10 24 5 19 3 3 11
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
11 2 454 60 93 57 38 130 31 4,430 429 435 1,010 28 56 627 3,030 491 8,029 4 107 140 19 536 1,028 769 858 18 4 2,044 44 92 75 231 12 52 200 129 389 76 152 82 578 53 6,835 196 38 52 116 322 15 52 12 45 31 142 14 641 166 13 340 1,029 21 1,065 31 553 827 322 867 268 1,030 200 182 127
Burglary
3 1 57 22 39 11 10 46 2 806 93 75 218 10 12 119 670 110 1,987 4 24 30 8 138 261 118 122 9 3 393 16 30 16 43 0 23 49 19 74 10 18 9 159 7 1,540 49 4 20 42 21 5 19 4 12 14 26 3 145 45 0 107 145 2 144 4 68 154 40 112 37 269 35 34 29
Larcenytheft
8 1 372 35 47 45 28 79 28 3,473 313 337 761 16 42 477 2,236 327 5,611 0 81 104 10 355 702 608 658 9 1 1,452 25 59 59 181 11 22 143 108 304 60 122 69 354 44 4,797 138 30 25 60 288 10 33 8 33 17 111 10 467 115 13 213 840 17 876 27 463 631 272 710 211 700 156 133 87
Motor vehicle theft
0 0 25 3 7 1 0 5 1 151 23 23 31 2 2 31 124 54 431 0 2 6 1 43 65 43 78 0 0 199 3 3 0 7 1 7 8 2 11 6 12 4 65 2 498 9 4 7 14 13 0 0 0 0 0 5 1 29 6 0 20 44 2 45 0 22 42 10 45 20 61 9 15 11
Arson1
1 0 1 0 0 0 0 0 0 13 0 3 8 0 0 18 8 0 14 1 0 1 0 3 10 0 0 0 0 4 0 1 0 1 0 0 0 0 5 2 0 0 1 0 39 1 3 0 0 1 0 1 0 1 0 0 0 3 1 2 0 4 0 3 1 0 1 0 4 1 1 0 0 0
SECTION II: OFFENSES REPORTED 199 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
VERMONT
1 The
City
Harrisville................................. Heber ........................................ Helper ....................................... Hildale ...................................... Hurricane ................................. Ivins........................................... Kaysville ................................... La Verkin.................................. Layton....................................... Leeds......................................... Lehi ........................................... Logan ........................................ Mapleton .................................. Midvale ..................................... Moab ......................................... Monticello ................................ Murray ...................................... Naples ....................................... Nephi ........................................ North Ogden ............................ North Park ............................... North Salt Lake ....................... Ogden ....................................... Orem ......................................... Park City................................... Parowan.................................... Payson....................................... Perry.......................................... Pleasant Grove/Lindon........... Pleasant View........................... Price .......................................... Provo......................................... Richfield ................................... Riverdale .................................. Roosevelt.................................. Roy............................................ Salem......................................... Salina ........................................ Salt Lake City .......................... Sandy ........................................ Santaquin/Genola.................... Smithfield ................................. South Jordan ............................ South Ogden ............................ South Salt Lake ....................... Spanish Fork ............................ Springville ................................ St. George................................. Stockton.................................... Sunset........................................ Syracuse.................................... Taylorsville City....................... Tooele ....................................... Tremonton................................ Vernal........................................ Washington............................... West Bountiful ......................... West Jordan.............................. West Valley ............................... Woods Cross ............................ Barre ......................................... Barre Town............................... Bellows Falls ............................ Bennington............................... Berlin ........................................ Bradford ................................... Brandon.................................... Brattleboro............................... Burlington ................................ Castleton................................... Chester...................................... Colchester................................. Dover ........................................ Essex .........................................
Population
5,514 10,155 1,869 1,958 12,749 7,663 24,050 4,260 63,284 731 39,483 48,403 7,363 27,275 4,886 1,918 44,748 1,533 5,276 17,050 10,615 12,070 78,160 91,816 8,132 2,545 17,378 3,579 41,890 6,607 7,954 115,264 7,139 8,023 4,740 35,366 5,790 2,399 178,449 94,975 8,367 7,484 46,571 15,473 21,262 28,950 26,883 70,579 593 4,870 21,544 57,944 30,019 6,383 8,231 16,607 5,287 96,681 121,447 8,440 9,050 8,146 2,957 15,297 2,875 819 3,926 11,706 38,153 4,384 3,092 17,201 1,448 19,350
Violent crime
10 5 7 1 16 2 17 5 79 0 16 27 0 117 20 1 174 3 8 5 3 10 501 67 8 13 17 9 24 4 11 168 2 20 14 41 1 4 1,499 189 4 3 29 29 204 15 31 155 2 4 19 231 69 13 11 24 7 203 594 11 7 1 9 34 2 0 7 26 135 1 3 26 1 17
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 1 0 0 0 0 3 0 0 0 0 0 0 3 0 0 0 0 0 1 6 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
Forcible rape
0 3 1 0 3 1 6 4 21 0 10 3 0 20 1 0 21 1 2 4 0 3 33 23 2 0 3 1 6 1 3 28 0 2 6 19 0 0 114 27 1 0 4 8 40 1 7 13 0 0 10 34 20 3 3 6 1 37 92 3 2 0 0 6 0 0 1 4 22 0 1 6 0 5
Robbery
3 0 0 0 0 0 0 0 14 0 3 3 0 27 1 0 51 0 0 0 0 1 136 15 1 0 6 0 10 0 1 35 0 10 0 4 1 0 503 33 2 0 4 11 46 6 7 15 0 0 0 61 5 1 0 3 0 49 155 4 2 0 1 0 0 0 0 2 18 0 0 5 0 3
Aggravated assault
7 2 6 1 13 1 11 1 43 0 3 21 0 70 18 1 99 2 6 1 3 6 329 28 5 13 8 8 8 3 7 105 2 8 8 18 0 4 865 128 1 3 21 10 115 8 17 127 2 4 9 133 44 9 8 15 6 116 341 4 3 1 8 28 2 0 5 19 95 1 2 15 1 9
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
238 112 21 8 359 123 410 66 2,057 3 841 417 94 1,683 219 23 3,085 43 121 219 191 410 4,914 2,835 472 54 528 81 929 129 325 3,298 299 484 188 870 90 105 15,232 3,317 99 146 1,177 545 2,248 625 754 2,338 9 142 297 2,900 867 217 245 452 110 3,395 6,745 250 257 74 56 535 31 16 83 351 1,673 7 50 648 197 414
Burglary
25 31 7 4 97 57 66 21 288 1 101 60 28 236 19 6 441 5 36 38 25 183 923 245 86 5 81 10 136 22 40 487 45 37 31 96 21 10 2,049 534 27 28 207 74 326 116 119 606 5 38 38 504 134 29 27 99 25 559 1,106 50 37 14 16 88 0 1 28 47 359 1 25 101 11 75
Larcenytheft
205 67 11 4 225 62 322 37 1,673 2 678 337 66 1,116 193 17 2,323 33 79 173 159 203 3,466 2,455 365 45 421 69 754 106 272 2,526 245 420 151 727 66 93 11,196 2,519 69 111 881 450 1,488 481 602 1,583 4 103 246 2,060 663 179 195 324 83 2,512 4,548 172 207 56 36 404 30 14 49 293 1,268 6 25 530 183 328
Motor vehicle theft
8 14 3 0 37 4 22 8 96 0 62 20 0 331 7 0 321 5 6 8 7 24 525 135 21 4 26 2 39 1 13 285 9 27 6 47 3 2 1,987 264 3 7 89 21 434 28 33 149 0 1 13 336 70 9 23 29 2 324 1,091 28 13 4 4 43 1 1 6 11 46 0 0 17 3 11
Arson1
0 0 0 0 0 0 1 0 17 0 1 3 0 6 0 0 0 0 0 1 0 1 22 3 0 0 0 1 3 0 2 7 1 1 0 10 0 0 55 17 0 0 1 2 2 3 0 8 0 0 0 6 21 1 1 0 0 15 30 0 0 0 1 2 0 0 1 4 4 0 0 2 0 2
200
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
VIRGINIA
1 The
City
Fair Haven................................ Hardwick .................................. Hartford.................................... Hinesburg ................................. Ludlow...................................... Lyndonville .............................. Manchester............................... Middlebury............................... Milton ....................................... Montpelier................................ Morristown............................... Newport.................................... Northfield ................................. Norwich .................................... Randolph.................................. Richmond ................................. Rutland ..................................... Shelburne ................................. South Burlington ..................... Springfield ................................ St. Albans.................................. St. Johnsbury ............................ Stowe......................................... Swanton .................................... Thetford.................................... Vergennes................................. Waterbury................................. Weathersfield ........................... Williston.................................... Wilmington............................... Windsor .................................... Winhall...................................... Winooski................................... Woodstock................................ Abingdon.................................. Alexandria................................ Altavista ................................... Amherst.................................... Appalachia ............................... Ashland .................................... Bedford..................................... Berryville.................................. Big Stone Gap.......................... Blacksburg................................ Blackstone................................ Bluefield ................................... Boykins ..................................... Bridgewater.............................. Bristol ....................................... Broadway ................................. Buena Vista .............................. Burkeville ................................. Cape Charles............................ Cedar Bluff............................... Charlottesville.......................... Chase City ................................ Chatham ................................... Chesapeake .............................. Chilhowie ................................. Chincoteague ........................... Christiansburg.......................... Clarksville ................................ Clifton Forge ............................ Clinchco.................................... Clintwood ................................. Colonial Beach ........................ Colonial Heights...................... Courtland ................................. Covington ................................. Crewe........................................ Culpeper ................................... Damascus ................................. Danville .................................... Dayton ......................................
Population
2,963 3,271 10,892 4,552 2,736 1,238 4,366 8,194 10,469 7,944 5,606 5,329 5,813 3,551 5,124 4,128 19,626 7,071 17,333 8,752 7,374 7,553 4,822 6,508 2,836 2,747 5,290 2,868 8,363 2,358 3,687 786 6,284 3,174 7,953 137,812 3,379 2,221 1,751 7,111 6,216 3,216 5,689 39,250 3,526 5,213 611 5,431 17,484 3,016 6,456 470 1,530 1,064 40,265 2,343 1,278 223,093 1,771 4,379 17,983 1,269 4,008 408 1,513 3,733 17,747 1,259 6,027 2,266 13,574 1,086 45,114 1,347
Violent crime
2 3 11 3 1 0 2 5 21 15 9 3 7 1 4 0 37 4 20 20 33 4 2 2 0 0 1 0 13 3 5 0 20 0 14 370 11 2 5 19 10 3 7 63 11 12 0 1 77 1 7 3 5 1 273 4 0 979 0 5 53 0 6 0 4 7 47 0 13 16 52 3 204 1
Murder and nonnegligent manslaughter 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 12 0 0 0 0 0 0 0 1 0 0 0 0 0 0 5 0
Forcible rape
0 1 1 1 0 0 0 2 5 2 1 2 0 1 0 0 2 0 9 2 0 0 1 0 0 0 0 0 5 1 0 0 0 0 3 18 3 0 0 2 5 1 1 8 3 0 0 0 11 1 2 0 0 0 26 1 0 78 0 1 1 0 0 0 0 0 2 0 4 0 5 0 9 1
Robbery
0 0 2 2 1 0 0 0 0 1 0 0 0 0 0 0 10 1 2 3 1 2 0 0 0 0 0 0 1 0 0 0 3 0 0 162 1 1 1 8 1 0 2 10 1 1 0 0 17 0 0 0 2 0 93 0 0 326 0 1 7 0 1 0 0 3 23 0 1 5 15 1 98 0
Aggravated assault
2 2 7 0 0 0 2 3 16 12 8 1 7 0 4 0 24 3 9 15 32 2 1 2 0 0 1 0 7 2 5 0 17 0 11 183 7 1 4 9 4 2 4 45 7 11 0 1 49 0 5 3 3 1 151 3 0 563 0 3 45 0 5 0 4 3 22 0 8 11 32 2 92 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
65 74 127 79 64 3 134 269 239 343 116 123 105 35 58 9 821 103 631 261 499 91 243 91 3 62 36 39 308 67 29 74 279 74 371 3,280 129 27 47 288 132 68 164 656 133 179 5 20 764 11 69 18 19 11 1,938 63 14 7,216 37 101 762 26 84 0 56 40 731 0 166 98 424 41 2,437 17
Burglary
13 16 25 21 12 3 20 26 34 59 15 22 24 12 6 2 115 20 27 60 46 17 34 28 2 5 3 10 13 25 10 5 52 7 22 364 12 1 15 22 19 1 33 120 11 19 1 6 122 3 0 0 9 1 278 12 6 1,251 5 27 111 1 22 0 12 6 42 0 28 19 38 2 550 3
Larcenytheft
47 56 96 56 52 0 107 241 197 273 98 100 78 23 49 6 683 81 572 192 444 70 206 61 1 56 32 28 288 40 18 66 216 38 332 2,557 109 24 28 247 101 61 124 520 112 156 4 14 604 7 67 16 10 10 1,524 43 7 5,476 31 68 622 25 61 0 42 30 641 0 130 74 364 35 1,775 12
Motor vehicle theft
5 2 6 2 0 0 7 2 8 11 3 1 3 0 3 1 23 2 32 9 9 4 3 2 0 1 1 1 7 2 1 3 11 29 17 359 8 2 4 19 12 6 7 16 10 4 0 0 38 1 2 2 0 0 136 8 1 489 1 6 29 0 1 0 2 4 48 0 8 5 22 4 112 2
Arson1
2 0 2 0 0 0 0 2 1 1 0 0 0 0 0 1 3 0 1 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 1 0 0 1 5 1 0 0 0 5 0 1 0 0 0 10 0 0 27 1 0 3 0 2 0 0 0 14 0 3 0 4 0 19 0
SECTION II: OFFENSES REPORTED 201 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Dublin ....................................... Dumfries................................... Edinburg................................... Elkton ....................................... Emporia.................................... Exmore ..................................... Fairfax City............................... Falls Church ............................. Farmville................................... Franklin .................................... Fredericksburg......................... Fries........................................... Front Royal .............................. Galax......................................... Gate City .................................. Glade Spring ............................ Glasgow .................................... Glen Lyn................................... Gordonsville ............................ Gretna....................................... Grottoes.................................... Grundy...................................... Halifax ...................................... Hampton................................... Harrisonburg............................ Haymarket ............................... Haysi ......................................... Herndon ................................... Hillsville.................................... Honaker.................................... Hurt........................................... Independence .......................... Jonesville .................................. Kenbridge................................. Kilmarnock .............................. La Crosse.................................. Lawrenceville........................... Lebanon.................................... Leesburg ................................... Lexington ................................. Louisa ....................................... Luray......................................... Lynchburg ................................ Manassas................................... Manassas Park ......................... Marion ...................................... Martinsville .............................. Middleburg............................... Mount Jackson ......................... Narrows .................................... New Market ............................. Newport News ......................... Norfolk ..................................... Norton ...................................... Occoquan ................................. Onancock ................................. Onley......................................... Orange ...................................... Pearisburg ................................ Pembroke ................................. Pennington Gap....................... Petersburg ................................ Pocahontas ............................... Poquoson .................................. Portsmouth ............................... Pound ........................................ Pulaski ...................................... Purcellville................................ Quantico ................................... Radford .................................... Rich Creek ............................... Richlands.................................. Richmond ................................. Roanoke ................................... 1 The
Population
2,206 4,795 877 2,597 5,607 1,381 22,484 10,831 6,908 8,856 21,521 557 14,700 6,643 2,081 1,544 1,011 167 1,684 1,204 2,178 975 1,272 144,490 40,869 1,290 179 21,892 2,691 909 1,226 901 981 1,315 1,195 595 1,139 3,185 38,931 6,711 1,557 4,879 67,932 36,735 11,816 6,100 14,856 954 1,799 2,189 1,863 177,550 227,903 3,602 817 1,437 490 4,597 2,805 1,190 1,753 32,210 428 11,939 101,284 1,082 9,006 5,048 634 14,317 692 4,083 191,785 90,894
Violent crime
5 16 0 2 66 6 39 32 8 35 150 0 38 20 1 1 1 0 1 2 5 0 2 522 150 0 1 46 11 1 0 0 1 3 2 2 7 2 70 6 8 6 332 197 27 41 51 0 0 2 0 1,229 1,924 7 0 4 1 16 0 1 0 499 0 16 804 1 27 7 1 40 2 20 1,837 901
Murder and nonnegligent manslaughter 0 0 0 0 1 0 1 0 0 1 3 0 0 1 0 0 0 0 0 0 0 0 0 6 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 2 1 0 2 0 0 0 0 28 48 0 0 0 0 1 0 0 0 7 0 0 17 0 0 1 0 0 0 0 51 4
Forcible rape
0 0 0 0 1 0 9 2 4 1 14 0 10 2 1 0 0 0 1 0 0 0 0 52 11 0 0 4 3 0 0 0 0 1 0 0 3 0 13 0 2 1 23 16 8 1 10 0 0 0 0 91 97 1 0 0 0 1 0 0 0 17 0 1 36 0 4 3 0 8 0 2 53 55
Robbery
2 6 0 1 16 5 11 16 1 6 40 0 9 0 0 1 0 0 0 1 0 0 0 251 37 0 0 11 1 0 0 0 0 0 1 0 1 1 21 1 0 0 81 58 6 1 11 0 0 0 0 513 910 0 0 2 1 3 0 0 0 212 0 0 326 0 8 0 0 5 0 3 973 266
Aggravated assault
3 10 0 1 48 1 18 14 3 27 93 0 19 17 0 0 1 0 0 1 5 0 2 213 102 0 1 30 7 1 0 0 1 2 1 2 3 1 36 5 5 5 227 121 12 39 28 0 0 2 0 597 869 6 0 2 0 11 0 1 0 263 0 15 425 1 15 3 1 27 2 15 760 576
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
50 167 3 25 370 40 616 347 97 399 1,103 0 373 299 45 10 2 7 28 20 39 5 16 4,923 1,240 2 1 430 75 12 12 8 15 15 9 15 26 105 797 93 42 133 2,381 1,132 236 192 614 18 26 14 19 7,386 11,518 258 3 15 25 115 62 15 46 2,332 1 155 5,049 36 367 64 19 502 24 236 8,966 5,000
Burglary
5 40 0 6 72 8 52 31 14 80 99 0 33 25 5 3 0 1 9 8 20 0 2 764 250 0 0 18 16 6 3 2 2 3 0 8 6 7 60 15 11 19 465 178 21 27 94 0 1 2 5 1,584 1,694 22 0 2 1 21 13 4 12 673 0 20 1,101 5 85 4 3 120 4 36 1,857 1,016
Larcenytheft
43 108 3 19 282 31 522 290 79 285 932 0 313 260 40 7 2 6 19 11 17 5 13 3,658 874 2 1 396 53 6 8 4 13 11 9 5 20 92 689 74 28 111 1,754 838 177 159 483 18 23 12 13 5,132 8,797 234 2 11 24 89 49 10 34 1,375 0 124 3,646 28 260 58 14 359 19 192 5,816 3,637
Motor vehicle theft
2 19 0 0 16 1 42 26 4 34 72 0 27 14 0 0 0 0 0 1 2 0 1 501 116 0 0 16 6 0 1 2 0 1 0 2 0 6 48 4 3 3 162 116 38 6 37 0 2 0 1 670 1,027 2 1 2 0 5 0 1 0 284 1 11 302 3 22 2 2 23 1 8 1,293 347
Arson1
1 1 0 0 1 0 5 2 1 2 9 0 1 2 0 0 0 0 1 0 0 0 1 34 5 0 0 1 0 0 0 0 0 0 0 0 0 1 4 0 0 2 17 8 2 0 5 0 0 0 0 79 36 2 0 0 0 1 0 0 0 14 0 2 18 0 3 1 0 5 0 1 49 28
202
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
WASHINGTON
1 The
City
Rocky Mount ........................... Rural Retreat........................... Salem......................................... Saltville ..................................... Shenandoah.............................. South Boston ........................... South Hill ................................. Stanley ...................................... Staunton ................................... Stephens City ........................... St. Paul ...................................... Strasburg .................................. Suffolk ...................................... Tappahannock.......................... Tazewell .................................... Timberville ............................... Victoria ..................................... Vinton ....................................... Virginia Beach ......................... Warrenton ................................ Warsaw ..................................... Waverly..................................... Waynesboro ............................. Weber City ............................... West Point ................................ White Stone.............................. Williamsburg ............................ Winchester................................ Wise........................................... Woodstock................................ Wytheville ................................ Aberdeen.................................. Airway Heights........................ Algona ...................................... Anacortes ................................. Arlington .................................. Asotin ....................................... Auburn...................................... Bainbridge Island .................... Battle Ground.......................... Bellevue.................................... Bellingham ............................... Bingen....................................... Black Diamond........................ Blaine........................................ Bonney Lake............................ Bothell ...................................... Bremerton ................................ Brewster ................................... Brier .......................................... Buckley ..................................... Burien ....................................... Burlington ................................ Camas ....................................... Carnation.................................. Castle Rock .............................. Centralia ................................... Chehalis .................................... Cheney...................................... Chewelah.................................. Clarkston .................................. Cle Elum................................... Clyde Hill ................................. College Place............................ Colville...................................... Connell ..................................... Cosmopolis............................... Coulee Dam ............................. Coupeville ................................ Covington ................................. Des Moines .............................. Dupont...................................... Duvall ....................................... East Wenatchee .......................
Population
4,568 1,357 24,774 2,256 1,873 8,007 4,618 1,336 23,210 1,463 971 4,348 83,631 2,158 4,369 1,705 1,783 7,924 435,943 9,064 1,364 2,194 21,681 1,349 3,133 342 11,740 25,443 3,256 4,303 8,184 16,382 4,794 2,726 16,948 16,736 1,130 49,710 22,442 14,149 118,984 76,290 703 3,948 4,622 15,737 31,521 35,068 2,124 6,382 5,514 31,035 8,921 18,256 1,827 2,147 15,708 7,249 10,597 2,334 7,231 3,330 2,997 9,148 5,055 2,987 1,692 1,083 1,857 18,072 28,907 6,831 6,064 9,013
Violent crime
10 0 26 12 1 41 16 1 71 1 1 9 333 16 12 3 2 14 1,089 26 0 5 79 3 1 0 30 106 8 8 9 33 14 7 17 18 3 248 24 33 138 187 1 5 5 31 21 336 11 5 4 191 36 18 0 7 99 28 15 2 15 4 1 8 3 2 2 0 1 25 117 2 1 36
Murder and nonnegligent manslaughter 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 1 16 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
Forcible rape
1 0 3 1 0 6 0 0 4 0 0 0 25 3 2 0 0 0 88 2 0 0 7 0 0 0 4 10 2 0 2 5 3 2 2 0 0 12 3 11 29 29 0 0 1 3 2 63 3 1 2 16 2 3 0 1 8 5 5 1 1 0 0 3 1 1 0 0 0 9 21 0 0 5
Robbery
1 0 9 0 0 8 5 0 19 0 1 0 84 6 1 1 0 0 555 6 0 2 17 0 0 0 20 35 2 1 0 13 1 1 1 2 0 92 2 3 61 58 0 0 0 4 12 60 2 2 0 83 18 5 0 0 15 11 3 0 2 2 0 1 0 0 0 0 0 9 54 0 0 5
Aggravated assault
8 0 14 11 1 25 11 1 48 1 0 9 222 7 9 2 2 13 430 18 0 3 54 3 1 0 6 60 4 7 7 15 9 4 13 16 3 143 19 19 48 98 1 5 4 24 7 213 6 2 2 91 16 10 0 6 75 12 7 1 12 2 1 4 2 1 2 0 1 7 40 2 1 26
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
153 0 700 47 98 430 211 25 730 37 8 137 2,514 114 98 14 25 269 13,030 251 8 28 652 35 28 7 256 1,235 112 49 292 1,085 156 72 568 858 39 3,225 382 385 4,181 5,022 24 51 241 464 767 1,652 119 104 138 1,710 1,322 396 11 97 991 695 247 75 358 190 36 251 194 43 22 24 91 504 888 38 33 694
Burglary
18 0 88 12 71 72 32 0 99 5 3 8 457 8 21 1 4 26 2,159 21 0 10 90 9 8 6 18 169 23 0 42 220 36 14 95 132 10 590 86 91 583 696 9 12 24 81 150 368 27 26 23 375 134 60 3 25 168 78 31 16 23 32 20 34 17 4 2 11 22 91 211 15 8 94
Larcenytheft
128 0 574 31 26 338 170 25 600 31 5 126 1,930 104 74 12 20 240 10,285 220 8 16 524 25 19 1 218 993 87 42 239 752 108 44 448 590 26 1,962 288 270 3,152 4,087 14 35 210 337 510 1,185 88 59 99 943 1,072 313 7 65 764 581 202 54 314 145 15 210 167 37 20 10 64 343 450 22 24 578
Motor vehicle theft
7 0 38 4 1 20 9 0 31 1 0 3 127 2 3 1 1 3 586 10 0 2 38 1 1 0 20 73 2 7 11 113 12 14 25 136 3 673 8 24 446 239 1 4 7 46 107 99 4 19 16 392 116 23 1 7 59 36 14 5 21 13 1 7 10 2 0 3 5 70 227 1 1 22
Arson1
0 0 2 1 1 1 2 0 6 0 0 1 16 1 0 0 0 2 171 0 0 1 9 0 2 0 1 4 3 0 0 3 2 0 3 5 1 30 8 5 20 31 0 1 2 4 8 12 1 0 0 6 1 6 0 3 7 2 1 0 2 1 2 1 0 0 0 0 1 5 2 0 0 3
SECTION II: OFFENSES REPORTED 203 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Eatonville ................................. Edgewood ................................ Edmonds .................................. Ellensburg ................................ Elma.......................................... Enumclaw................................. Ephrata ..................................... Everett ...................................... Everson..................................... Federal Way ............................. Ferndale.................................... Fife ............................................ Fircrest ...................................... Forks ......................................... Garfield..................................... Gig Harbor............................... Goldendale............................... Grand Coulee .......................... Grandview................................ Granite Falls............................. Hoquiam................................... Ilwaco........................................ Issaquah.................................... Kalama...................................... Kelso ......................................... Kenmore................................... Kennewick................................ Kent........................................... Kettle Falls ............................... Kirkland.................................... Kittitas ...................................... La Center.................................. Lacey......................................... Lake Forest Park ..................... Lake Stevens3........................... Lakewood................................. Langley ..................................... Liberty Lake ............................ Long Beach .............................. Longview .................................. Lynden ...................................... Lynnwood................................. Malden...................................... Maple Valley ............................ Marysville ................................. McCleary .................................. Medical Lake ........................... Medina...................................... Mercer Island........................... Mill Creek ................................ Milton ....................................... Monroe ..................................... Montesano................................ Morton...................................... Moses Lake .............................. Mountlake Terrace .................. Mount Vernon.......................... Moxee ....................................... Mukilteo ................................... Napavine .................................. Newcastle ................................. Normandy Park ....................... North Bend .............................. North Bonneville..................... Oakesdale................................. Oak Harbor.............................. Oakville .................................... Ocean Shores ........................... Odessa....................................... Olympia .................................... Omak ........................................ Oroville..................................... Othello...................................... Pacific........................................ 1 The 3 The
Population
2,455 9,860 40,218 17,033 3,177 10,966 7,361 98,845 2,031 84,026 10,559 6,746 6,318 3,249 604 6,691 3,758 1,950 9,222 2,972 9,058 1,004 19,193 2,077 12,156 20,167 63,147 83,929 1,621 46,686 1,194 1,944 36,037 12,506 8,238 57,465 1,035 6,399 1,400 37,068 11,159 33,663 191 16,798 32,623 1,589 4,493 3,561 23,671 15,843 6,836 16,505 3,556 1,102 17,561 20,193 30,521 2,044 20,642 1,499 9,867 6,207 4,605 775 379 23,168 730 4,785 931 44,946 4,745 1,588 6,357 5,910
Violent crime
5 24 60 41 10 7 16 564 6 287 24 47 22 21 0 14 9 11 21 5 26 1 9 2 81 30 236 525 1 67 2 3 89 3 32 495 0 5 2 134 9 131 0 11 105 1 2 1 6 22 16 27 1 2 82 31 77 4 27 3 11 4 13 1 0 35 0 3 4 118 18 6 23 10
Murder and nonnegligent manslaughter 0 0 1 0 0 0 0 7 0 3 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 4 0 0 0 0 2 0 1 2 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
Forcible rape
1 1 4 14 3 0 2 61 2 48 3 7 1 2 0 0 0 1 6 1 6 0 0 0 16 6 38 64 0 13 0 0 6 1 3 47 0 0 2 45 2 11 0 5 8 0 1 0 0 2 2 0 0 0 24 3 12 2 5 2 4 0 3 0 0 7 0 0 1 28 3 2 2 3
Robbery
1 6 22 5 4 2 2 209 1 129 6 11 5 1 0 6 0 2 3 1 6 0 5 0 19 12 31 174 1 24 2 0 24 1 7 137 0 0 0 39 0 73 0 0 44 0 0 1 1 5 7 10 1 0 20 12 30 0 10 0 2 0 1 0 0 5 0 1 0 27 1 0 2 3
Aggravated assault
3 17 33 22 3 5 12 287 3 107 15 29 16 18 0 7 9 8 12 3 13 1 4 2 46 12 166 283 0 30 0 3 57 1 21 309 0 5 0 47 7 47 0 5 53 1 1 0 5 15 7 17 0 2 38 16 35 2 12 1 5 4 9 1 0 23 0 2 3 63 14 4 18 4
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency's data were overreported. Consequently, affected data are not included in this table.
Property crime
49 195 985 893 288 285 516 8,739 115 4,837 396 565 170 178 2 385 228 85 621 130 464 56 864 88 1,000 448 2,362 4,873 69 1,881 58 25 1,749 253 3,724 56 94 90 2,341 259 2,873 1 365 1,534 27 58 77 392 573 281 615 98 37 1,801 690 2,324 12 568 39 214 133 144 12 4 555 22 187 27 2,023 251 66 627 235
Burglary
10 62 247 176 83 41 117 1,405 19 739 61 74 30 44 0 51 40 30 144 19 106 8 77 6 164 101 341 1,075 16 336 13 3 259 55 129 890 10 17 26 480 35 280 1 108 230 14 19 6 73 98 47 116 13 3 336 138 294 2 136 0 46 33 19 1 4 104 7 102 3 296 56 14 147 73
Larcenytheft
Motor vehicle theft
39 118 625 682 172 208 378 5,456 94 3,159 303 354 118 133 2 297 169 53 407 100 326 46 686 82 763 298 1,862 2,790 51 1,366 42 21 1,341 163
0 15 113 35 33 36 21 1,878 2 939 32 137 22 1 0 37 19 2 70 11 32 2 101 0 73 49 159 1,008 2 179 3 1 149 35
2,215 45 60 60 1,662 218 2,162 0 215 925 7 36 62 289 388 187 425 79 34 1,365 441 1,866 10 335 36 142 82 108 11 0 403 13 80 23 1,493 177 47 434 120
619 1 17 4 199 6 431 0 42 379 6 3 9 30 87 47 74 6 0 100 111 164 0 97 3 26 18 17 0 0 48 2 5 1 234 18 5 46 42
Arson1
3 1 13 5 0 16 4 19 0 19 6 0 2 0 0 1 7 0 5 0 5 0 0 1 4 3 25 29 0 12 0 0 6 0 5 17 0 1 0 11 2 13 0 4 10 1 0 0 8 0 1 1 0 0 12 15 12 0 5 0 2 0 0 0 0 7 0 0 0 12 6 1 2 2
204
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
WEST VIRGINIA
1 The
City
Pasco ......................................... Pe Ell......................................... Port Angeles............................. Port Orchard ............................ Port Townsend ......................... Poulsbo ..................................... Prosser ...................................... Pullman..................................... Puyallup.................................... Quincy....................................... Rainier ...................................... Raymond .................................. Reardan .................................... Redmond.................................. Renton ...................................... Republic ................................... Richland ................................... Ridgefield ................................. Ritzville..................................... Rosalia ...................................... Roy............................................ Royal City ................................ Ruston ...................................... Sammamish .............................. Sea Tac ...................................... Seattle ....................................... Sedro Woolley.......................... Selah.......................................... Sequim ...................................... Shelton...................................... Shoreline .................................. Snohomish................................ Snoqualmie .............................. South Bend............................... Spokane .................................... Spokane Valley ........................ Stanwood.................................. Steilacoom................................ Sumas........................................ Sumner...................................... Sunnyside ................................. Tacoma7 .................................... Tenino ....................................... Tieton........................................ Toledo ....................................... Tonasket ................................... Toppenish ................................. Tukwila ..................................... Tumwater.................................. Union Gap ............................... University Place....................... Vancouver ................................ Walla Walla............................... Wapato...................................... Washougal ................................ Wenatchee ................................ Westport ................................... West Richland.......................... White Salmon .......................... Wilbur ....................................... Winlock..................................... Winthrop .................................. Woodinville .............................. Woodland ................................. Woodway .................................. Yakima...................................... Yarrow Point ............................ Yelm .......................................... Zillah......................................... Anawalt .................................... Ansted ...................................... Barboursville............................ Bayard ...................................... Beckley .....................................
Population
52,761 690 19,064 8,026 9,248 7,919 5,150 25,408 37,078 5,659 1,637 2,976 610 49,195 59,656 985 45,555 4,023 1,714 571 834 1,990 882 35,327 25,320 585,118 10,643 7,037 5,898 9,352 52,189 8,838 8,403 1,840 198,272 83,928 5,685 6,159 1,157 9,601 14,931 196,909 2,251 1,185 686 960 9,213 17,103 13,695 5,702 30,699 161,092 31,002 4,609 11,769 30,179 2,554 10,477 2,373 891 1,233 374 10,143 4,691 1,390 82,951 1,039 5,359 2,679 240 1,597 3,276 290 16,774
Violent crime
150 0 76 80 26 28 5 31 136 12 3 5 0 78 248 2 105 2 2 0 3 11 8 9 156 3,667 16 4 12 72 121 22 0 1 1,322 290 11 3 4 54 52 2,059 1 0 2 0 55 160 28 33 78 646 112 39 18 92 9 4 2 0 2 1 23 25 1 561 0 13 5 0 0 7 0 151
Murder and nonnegligent manslaughter 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 24 0 0 0 0 2 0 0 0 12 0 0 0 0 1 1 14 0 0 0 0 3 2 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 1
Forcible rape
29 0 24 12 1 8 1 10 16 6 0 1 0 13 26 0 13 0 1 0 0 0 0 2 24 90 1 3 1 10 21 2 0 1 88 15 5 0 1 6 6 140 0 0 0 0 9 13 5 11 12 118 30 2 0 17 0 2 0 0 0 0 6 7 0 66 0 5 0 0 0 0 0 0
Robbery
43 0 12 1 4 1 1 5 53 2 0 0 0 19 103 0 23 1 0 0 0 3 1 3 67 1,522 10 1 2 22 53 6 0 0 414 56 1 1 1 8 3 647 0 0 0 0 12 81 8 9 19 166 12 16 3 20 1 0 1 0 0 0 4 5 1 136 0 2 1 0 0 1 0 29
Aggravated assault
78 0 39 67 21 19 3 16 66 4 2 4 0 46 118 2 69 1 1 0 3 8 7 4 64 2,031 5 0 9 40 45 14 0 0 808 219 5 2 2 39 42 1,258 1 0 2 0 31 64 15 13 47 355 70 21 15 55 8 2 1 0 2 1 13 13 0 352 0 6 4 0 0 6 0 121
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
1,811 0 873 378 387 291 198 480 3,092 332 30 82 5 1,685 4,054 12 1,249 112 78 11 5 67 7 549 1,745 33,960 695 211 231 1,087 1,679 404 134 38 11,376 2,851 225 89 32 475 1,151 14,957 89 11 29 70 686 2,908 488 747 936 6,557 1,548 296 291 1,549 108 117 58 11 57 19 468 172 40 5,705 8 210 159 0 5 419 0 1,235
Burglary
408 0 135 70 76 51 39 131 389 115 16 31 1 239 677 2 213 34 21 3 1 15 5 143 360 5,986 146 22 32 151 326 98 16 11 2,175 481 25 26 10 105 276 2,628 27 3 8 7 141 298 88 91 224 1,005 285 86 61 219 28 43 11 2 19 4 101 37 7 1,209 2 42 32 0 2 36 0 202
Larcenytheft
1,138 0 674 280 306 232 143 339 2,191 195 12 45 2 1,292 2,701 9 960 66 54 5 3 48 2 386 878 22,192 491 163 193 832 1,152 261 111 21 7,188 1,957 179 50 19 285 662 8,986 57 8 17 62 430 1,976 340 604 571 4,581 1,195 158 189 1,243 73 65 43 8 36 15 313 116 31 3,652 3 152 117 0 3 378 0 961
Motor vehicle theft
265 0 64 28 5 8 16 10 512 22 2 6 2 154 676 1 76 12 3 3 1 4 0 20 507 5,782 58 26 6 104 201 45 7 6 2,013 413 21 13 3 85 213 3,343 5 0 4 1 115 634 60 52 141 971 68 52 41 87 7 9 4 1 2 0 54 19 2 844 3 16 10 0 0 5 0 72
Arson1
6 0 14 2 0 6 2 5 17 0 1 0 0 5 11 0 6 0 0 0 2 0 1 7 9 183 1 1 1 4 22 5 0 1 88 25 2 0 0 11 12 90 2 0 0 0 10 5 0 0 13 59 20 4 2 6 0 2 0 0 0 0 10 3 0 63 0 0 3 0 0 0 0 13
SECTION II: OFFENSES REPORTED 205 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Belington .................................. Benwood .................................. Bethany..................................... Bethlehem ................................ Bluefield ................................... Bridgeport ................................ Buckhannon ............................. Cameron ................................... Capon Bridge........................... Ceredo ...................................... Chapmanville ........................... Charleston ................................ Charles Town ........................... Clarksburg................................ Clearview.................................. Dunbar...................................... Elkins ........................................ Follansbee ................................ Glen Dale ................................. Glenville ................................... Grafton ..................................... Harpers Ferry/Bolivar............. Hartford City ........................... Henderson................................ Hinton....................................... Huntington ............................... Hurricane ................................. Kenova...................................... Kermit....................................... Keyser ....................................... Lewisburg ................................. Logan ........................................ Mannington.............................. Marlinton.................................. Mason ....................................... Masontown............................... Matoaka.................................... Monongah ................................ Montgomery............................. Moorefield................................ Morgantown............................. Moundsville.............................. New Cumberland .................... Northfork ................................. Nutter Fort ............................... Oceana...................................... Paden City ................................ Parkersburg.............................. Piedmont .................................. Point Pleasant .......................... Princeton .................................. Ranson...................................... Ravenswood............................. Reedsville ................................. Ridgeley.................................... Ripley........................................ Rivesville .................................. Ronceverte ............................... Shinnston.................................. South Charleston..................... Spencer ..................................... St. Albans.................................. Summersville............................ Triadelphia ............................... Vienna....................................... Wardensville............................. Weirton ..................................... Welch ........................................ West Logan .............................. West Milford ............................ Weston ...................................... Wheeling................................... White Sulphur Springs............ Williamson................................ Williamstown ........................... 1 The
Population
1,831 1,463 977 2,506 11,000 7,806 5,551 1,110 250 1,607 1,132 50,510 4,013 16,420 558 7,612 7,050 2,893 1,443 1,470 5,372 1,413 515 311 2,622 48,669 6,179 3,325 225 5,331 3,554 1,525 2,080 1,241 1,044 656 302 911 1,925 2,432 28,951 9,385 1,021 437 1,640 1,445 2,659 31,562 925 4,459 6,178 4,067 3,992 534 690 3,272 915 1,523 2,238 12,468 2,242 10,999 3,366 816 10,667 246 19,095 2,283 394 651 4,215 29,057 2,323 3,128 2,975
Violent crime
1 0 0 0 43 13 18 4 0 4 4 572 9 89 0 19 20 3 0 1 5 2 0 0 10 367 8 10 0 13 1 39 2 0 1 0 1 0 1 16 99 17 0 0 2 10 2 68 0 6 62 13 1 0 0 13 0 4 2 55 8 37 5 0 16 1 23 5 0 0 1 134 0 5 1
Murder and nonnegligent manslaughter 0 0 0 0 1 0 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0
Forcible rape
0 0 0 0 4 1 3 0 0 0 0 14 0 9 0 6 2 0 0 0 0 0 0 0 0 47 3 0 0 4 0 1 0 0 0 0 0 0 0 1 27 4 0 0 0 0 0 11 0 0 1 0 0 0 0 3 0 1 0 2 2 0 0 0 3 0 0 0 0 0 0 15 0 0 0
Robbery
0 0 0 0 12 2 1 0 0 1 1 131 2 7 0 5 2 1 0 0 0 1 0 0 2 181 1 2 0 4 0 7 0 0 0 0 0 0 0 0 29 3 0 0 1 0 0 18 0 1 9 4 0 0 0 1 0 0 0 20 1 6 1 0 3 0 4 2 0 0 0 35 0 1 0
Aggravated assault
1 0 0 0 26 10 14 4 0 3 3 423 7 73 0 8 15 2 0 1 5 1 0 0 8 136 4 8 0 5 1 31 2 0 1 0 1 0 1 15 42 10 0 0 1 10 2 38 0 5 51 9 1 0 0 8 0 3 2 33 5 29 4 0 10 1 19 3 0 0 1 83 0 4 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
9 5 0 7 305 193 88 0 4 49 39 3,051 101 767 0 181 210 26 36 20 30 19 0 0 48 3,626 194 159 0 151 14 280 6 0 11 0 0 2 48 46 1,025 224 0 0 37 119 3 1,468 2 210 522 36 17 3 0 55 0 31 31 639 93 427 82 0 291 1 215 59 0 0 23 981 1 59 44
Burglary
2 2 0 1 101 27 8 0 1 13 4 601 19 144 0 38 38 9 16 4 6 1 0 0 14 1,268 27 22 0 29 1 37 5 0 5 0 0 1 10 9 248 55 0 0 8 13 3 286 1 37 91 1 7 2 0 3 0 16 4 81 37 106 11 0 28 0 43 13 0 0 1 216 0 15 5
Larcenytheft
6 3 0 6 175 164 72 0 3 33 34 2,235 77 585 0 115 170 15 18 15 22 18 0 0 31 2,061 156 125 0 115 12 239 1 0 5 0 0 1 33 31 745 156 0 0 27 103 0 1,077 1 159 406 32 10 1 0 49 0 14 27 517 52 279 65 0 257 1 161 45 0 0 21 693 1 40 37
Motor vehicle theft
1 0 0 0 29 2 8 0 0 3 1 215 5 38 0 28 2 2 2 1 2 0 0 0 3 297 11 12 0 7 1 4 0 0 1 0 0 0 5 6 32 13 0 0 2 3 0 105 0 14 25 3 0 0 0 3 0 1 0 41 4 42 6 0 6 0 11 1 0 0 1 72 0 4 2
Arson1
0 0 0 0 6 2 0 0 0 0 0 33 1 10 0 2 2 2 1 0 0 1 0 0 0 27 1 1 0 0 0 6 0 0 0 0 0 0 1 0 3 9 0 0 1 0 0 17 0 1 4 0 0 0 0 1 0 0 0 7 0 4 0 0 0 0 0 0 0 0 0 4 0 0 0
206
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
WISCONSIN
1 The
City
Albany ...................................... Algoma ..................................... Altoona..................................... Amery ....................................... Antigo ....................................... Appleton .................................. Arcadia ..................................... Ashland .................................... Ashwaubenon .......................... Bangor ...................................... Baraboo .................................... Barron....................................... Bayfield..................................... Bayside ..................................... Beaver Dam ............................. Belleville................................... Beloit......................................... Beloit Town .............................. Berlin ........................................ Black River Falls ..................... Blair........................................... Bloomer.................................... Bloomfield................................ Boscobel ................................... Brillion...................................... Brodhead.................................. Brookfield ................................ Brookfield Township............... Brown Deer.............................. Burlington ................................ Burlington Town...................... Butler ........................................ Caledonia ................................. Campbellsport ......................... Campbell Township................. Cedarburg ................................ Chenequa ................................. Chetek....................................... Chilton ...................................... Chippewa Falls......................... Cleveland.................................. Clinton ...................................... Clintonville............................... Colby-Abbotsford ................... Columbus ................................. Combined Locks ..................... Cornell ...................................... Cottage Grove ......................... Crandon.................................... Cross Plains .............................. Cuba City.................................. Cudahy...................................... Cumberland ............................. Dane.......................................... Darien ....................................... Darlington ................................ DeForest ................................... Delafield ................................... Delavan..................................... Delavan Town .......................... Denmark................................... De Pere..................................... Dodgeville ................................ Durand...................................... Eagle River .............................. Eagle Village ............................ East Troy................................... Eau Claire ................................ Edgar ........................................ Edgerton................................... Eleva ......................................... Elkhart Lake ............................ Elkhorn..................................... Elk Mound ...............................
Population
1,119 3,228 6,377 2,846 8,225 70,169 2,329 8,147 17,033 1,343 11,015 3,145 579 4,216 15,551 2,246 36,424 7,475 5,197 3,456 1,276 3,378 5,990 3,185 2,857 3,089 39,738 6,243 11,507 10,599 6,552 1,806 25,682 1,929 4,437 11,216 590 2,177 3,635 13,158 1,401 2,261 4,435 3,649 5,068 3,121 1,424 5,530 1,880 3,541 2,052 17,998 2,299 952 1,609 2,328 8,845 6,975 8,450 4,906 2,124 22,781 4,577 1,867 1,579 1,838 4,276 63,472 1,490 5,230 656 1,153 9,354 805
Violent crime
4 2 3 7 7 146 1 25 10 2 40 6 1 1 8 3 151 7 4 6 2 1 4 10 2 3 29 13 25 3 4 6 28 0 5 5 0 2 1 18 3 2 16 3 2 2 4 4 10 2 3 68 0 0 2 9 7 14 21 17 0 5 4 0 2 3 6 96 1 1 0 0 7 4
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
Forcible rape
0 2 2 0 0 26 0 1 2 1 2 2 0 0 1 1 12 1 0 2 0 0 3 0 1 1 2 0 1 0 0 0 0 0 0 0 0 0 1 2 1 0 1 0 0 0 0 1 0 0 1 9 0 0 0 0 1 0 1 0 0 2 1 0 1 0 2 12 0 0 0 0 6 0
Robbery
0 0 0 0 0 23 0 2 0 1 1 2 0 1 3 0 63 2 0 0 0 0 0 0 0 0 16 2 9 1 0 0 23 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 1 0 28 0 0 0 0 0 2 1 0 0 0 2 0 1 0 1 12 0 1 0 0 0 0
Aggravated assault
4 0 1 7 7 97 1 22 7 0 37 2 1 0 4 2 74 4 4 4 2 1 1 10 1 2 11 11 15 2 4 6 5 0 5 5 0 2 0 14 2 1 15 3 2 2 4 3 4 1 2 31 0 0 2 9 6 12 14 17 0 3 1 0 0 3 2 72 1 0 0 0 1 4
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
33 82 152 40 604 2,379 44 374 933 15 390 51 20 23 493 43 1,719 163 193 138 33 63 100 52 35 63 1,190 173 462 328 69 60 299 39 51 154 5 49 63 243 8 55 178 82 112 19 34 150 60 52 58 589 24 0 38 32 167 125 366 117 9 413 110 4 109 21 212 1,966 7 41 11 35 240 6
Burglary
3 5 22 6 101 413 7 48 66 4 28 10 4 1 53 3 283 30 23 14 9 4 16 10 4 7 112 23 46 34 10 13 51 4 9 5 1 20 9 36 1 5 16 5 6 4 2 32 15 10 9 115 1 0 5 3 26 12 27 23 2 56 10 2 8 5 15 365 2 12 2 3 31 2
Larcenytheft
29 73 117 32 492 1,883 35 307 839 11 347 30 16 22 437 40 1,327 124 164 118 22 56 82 42 29 56 1,063 144 386 285 55 44 226 35 40 148 4 26 50 201 7 48 157 72 106 15 32 113 42 41 49 447 18 0 32 27 137 111 326 89 7 347 99 1 97 16 191 1,503 5 28 8 32 202 3
Motor vehicle theft
1 4 13 2 11 83 2 19 28 0 15 11 0 0 3 0 109 9 6 6 2 3 2 0 2 0 15 6 30 9 4 3 22 0 2 1 0 3 4 6 0 2 5 5 0 0 0 5 3 1 0 27 5 0 1 2 4 2 13 5 0 10 1 1 4 0 6 98 0 1 1 0 7 1
Arson1
0 0 0 0 0 8 0 2 1 0 0 0 0 0 0 0 14 2 1 0 1 0 0 0 0 0 2 0 0 0 1 1 0 0 0 0 0 0 0 2 1 2 1 0 0 0 0 0 0 0 2 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0
SECTION II: OFFENSES REPORTED 207 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Ellsworth .................................. Elm Grove................................ Elroy ......................................... Evansville ................................. Everest...................................... Fennimore ................................ Fitchburg .................................. Fond du Lac ............................. Fontana ..................................... Fort Atkinson........................... Fox Lake................................... Fox Point................................... Franklin .................................... Frederic..................................... Geneva Town ........................... Genoa City ............................... Germantown ............................ Glendale ................................... Grafton ..................................... Grand Chute ............................ Grand Rapids........................... Grantsburg ............................... Green Bay ................................ Greendale................................. Greenfield ................................ Green Lake .............................. Hales Corners .......................... Hartford.................................... Hartland ................................... Hayward ................................... Hazel Green............................. Hillsboro................................... Hobart-Lawrence .................... Holmen ..................................... Horicon..................................... Hortonville ............................... Hudson ..................................... Hurley ....................................... Independence .......................... Iron Ridge ................................ Jackson...................................... Janesville................................... Jefferson ................................... Juneau ....................................... Kaukauna ................................. Kenosha.................................... Kewaskum................................ Kewaunee................................. Kiel............................................ Kohler ....................................... La Crosse.................................. Ladysmith................................. Lake Delton ............................. Lake Geneva............................ Lake Hallie............................... Lake Mills................................. Lancaster .................................. Lodi ........................................... Luxemburg ............................... Madison .................................... Manitowoc................................ Maple Bluff .............................. Marathon City.......................... Marinette.................................. Marion ...................................... Markesan.................................. Marshall Village....................... Marshfield ................................ Mauston.................................... Mayville .................................... McFarland ................................ Medford.................................... Menasha ................................... Menomonee Falls .................... 1 The
Population
3,112 6,064 1,487 5,023 15,771 2,255 22,793 42,349 1,890 12,023 1,486 6,663 34,449 1,220 4,726 2,911 19,491 12,736 11,712 20,793 7,741 1,445 100,010 13,708 35,435 1,158 7,538 13,611 8,793 2,330 1,134 1,283 9,725 7,512 3,640 2,774 12,408 1,623 1,243 990 6,248 63,383 7,773 2,654 15,405 96,996 4,070 2,877 3,518 1,992 50,032 3,594 2,973 8,209 5,959 5,483 3,869 2,947 2,286 225,370 33,541 1,286 1,562 10,906 1,232 1,332 3,604 19,175 4,329 5,430 7,663 4,108 16,756 34,612
Violent crime
2 0 3 9 56 1 64 147 3 9 2 3 73 0 2 0 15 29 7 19 1 1 616 17 59 1 7 7 7 16 1 0 0 5 4 1 26 4 2 1 9 158 32 1 8 357 5 3 14 0 164 2 11 9 6 5 0 3 0 834 66 0 4 12 1 2 5 16 22 1 8 7 63 23
Murder and nonnegligent manslaughter 0 0 0 0 2 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 3 0 0 0 0 0 1
Forcible rape
0 0 1 0 2 0 7 29 0 0 1 0 9 0 0 0 4 0 0 5 1 1 67 0 9 0 1 0 1 6 0 0 0 0 1 0 2 0 0 0 3 25 1 1 2 46 1 1 1 0 15 1 2 4 0 2 0 0 0 57 5 0 0 2 0 0 2 3 1 0 1 3 8 0
Robbery
0 0 1 0 4 0 17 19 0 2 0 3 7 0 0 0 4 26 3 7 0 0 89 9 25 0 1 2 2 2 0 0 0 0 1 0 9 1 1 0 0 55 1 0 1 144 0 0 2 0 22 0 2 1 0 0 0 0 0 359 2 0 0 4 0 0 0 4 0 0 0 0 5 9
Aggravated assault
2 0 1 9 48 1 39 99 3 7 0 0 57 0 2 0 6 3 4 7 0 0 458 8 25 1 5 5 4 8 1 0 0 5 1 1 15 3 1 1 6 78 30 0 5 165 4 2 11 0 126 1 7 4 6 3 0 3 0 410 59 0 4 6 1 2 3 6 21 1 7 4 50 13
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
77 98 23 104 371 63 724 1,204 44 357 14 53 804 9 139 34 413 759 230 1,178 53 38 2,843 781 1,456 22 157 332 126 206 0 1 61 137 57 142 656 59 8 14 42 2,731 239 60 324 3,395 30 34 91 60 1,867 154 543 418 233 60 53 81 30 8,224 789 34 37 440 10 29 79 504 158 14 195 159 529 631
Burglary
16 9 3 7 66 9 74 113 6 16 1 7 120 0 18 1 52 33 10 60 15 13 565 17 169 0 15 28 25 21 0 0 10 22 2 8 60 4 0 1 5 431 18 14 4 770 3 4 6 0 305 10 36 31 44 6 12 5 5 2,059 116 3 7 54 0 4 10 95 17 2 48 13 85 85
Larcenytheft
59 88 20 94 297 54 616 1,055 38 335 13 46 639 9 120 30 348 657 216 1,082 34 24 2,094 753 1,204 21 137 294 100 172 0 1 48 107 52 132 580 49 8 12 35 2,217 209 45 300 2,368 27 30 80 58 1,475 140 498 379 180 53 41 75 23 5,658 633 31 30 369 9 24 67 395 132 12 143 145 428 520
Motor vehicle theft
2 1 0 3 8 0 34 36 0 6 0 0 45 0 1 3 13 69 4 36 4 1 184 11 83 1 5 10 1 13 0 0 3 8 3 2 16 6 0 1 2 83 12 1 20 257 0 0 5 2 87 4 9 8 9 1 0 1 2 507 40 0 0 17 1 1 2 14 9 0 4 1 16 26
Arson1
2 0 0 0 3 0 4 9 0 0 0 0 7 0 0 0 4 0 0 1 0 0 11 0 3 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 2 9 1 0 1 6 1 0 1 0 6 0 1 0 0 0 0 0 0 68 0 0 0 2 0 0 0 8 0 0 0 0 1 1
208
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Menomonie .............................. Mequon .................................... Merrill ....................................... Middleton ................................. Milton ....................................... Milwaukee................................ Mineral Point ........................... Minocqua.................................. Mishicot .................................... Mondovi ................................... Monona .................................... Monroe ..................................... Mosinee .................................... Mount Horeb ........................... Mount Pleasant........................ Mukwonago ............................. Muskego ................................... Neenah...................................... Neillsville.................................. New Berlin ............................... New Glarus .............................. New Holstein ........................... New Lisbon .............................. New London ............................ New Richmond ........................ Niagara ..................................... North Fond du Lac .................. North Hudson .......................... North Prairie ............................ Oak Creek ................................ Oconomowoc ........................... Oconomowoc Town................. Oconto Falls ............................. Omro......................................... Onalaska................................... Oregon...................................... Osceola ..................................... Oshkosh.................................... Osseo......................................... Palmyra..................................... Park Falls .................................. Pepin ......................................... Peshtigo .................................... Pewaukee ................................. Pewaukee Village .................... Phillips ...................................... Platteville.................................. Pleasant Prairie........................ Plover........................................ Plymouth .................................. Portage...................................... Port Washington ...................... Poynette.................................... Prescott ..................................... Princeton .................................. Pulaski ...................................... Racine ....................................... Readstown................................ Reedsburg ................................ Rhinelander ............................. Rice Lake ................................. Richland Center ...................... Ripon ........................................ River Falls ................................ River Hills ................................ Rome Town .............................. Rothschild ................................ Sauk Prairie.............................. Saukville ................................... Seymour.................................... Shawano ................................... Sheboygan ................................ Sheboygan Falls ....................... Shorewood ............................... 1 The
Population
15,367 23,736 9,860 16,710 5,800 572,938 2,562 5,026 1,397 2,638 7,924 10,563 4,078 6,674 26,237 6,890 22,961 24,871 2,615 39,350 2,064 3,166 2,592 7,008 8,200 1,766 4,959 3,800 2,055 32,896 14,414 8,196 2,854 3,316 16,377 9,006 2,719 64,183 1,637 1,751 2,425 929 3,276 12,939 9,125 1,530 9,711 19,426 11,495 8,333 9,789 11,115 2,579 4,058 1,448 3,528 79,285 384 8,629 7,786 8,422 5,145 7,286 13,803 1,614 3,015 5,232 4,225 4,334 3,411 8,790 48,291 7,795 13,185
Violent crime
28 8 20 11 4 8,040 5 5 0 1 10 13 2 2 31 2 6 56 1 24 4 4 11 4 3 4 3 1 0 35 5 3 1 14 12 8 10 209 2 4 1 0 2 14 18 4 20 15 12 14 43 5 3 9 1 4 507 0 12 15 13 10 17 34 2 0 3 1 6 5 22 91 1 17
Murder and nonnegligent manslaughter 0 0 0 0 0 105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0
Forcible rape
1 3 7 1 0 236 0 1 0 0 0 3 0 0 1 0 0 4 0 2 0 1 0 0 3 0 0 0 0 6 2 0 0 0 1 3 0 10 0 0 1 0 0 0 0 1 10 2 2 1 3 2 0 3 0 0 27 0 6 5 4 1 2 4 1 0 0 0 0 0 5 21 1 0
Robbery
2 5 1 4 0 3,529 0 0 0 0 6 1 0 1 16 0 2 1 0 9 0 0 0 0 0 0 0 0 0 15 0 0 0 0 5 1 0 31 0 0 0 0 0 1 2 1 0 5 1 3 2 3 0 1 0 0 281 0 0 0 2 0 0 3 0 0 0 1 1 1 4 29 0 14
Aggravated assault
25 0 12 6 4 4,170 5 4 0 1 4 9 2 1 14 2 4 51 1 13 4 3 11 3 0 4 3 1 0 14 3 3 1 14 6 4 10 166 2 4 0 0 2 13 15 2 10 8 9 10 37 0 3 5 1 4 192 0 6 10 7 9 15 27 1 0 3 0 5 4 12 40 0 3
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
337 123 420 451 44 38,199 56 155 6 31 358 282 103 145 804 114 257 499 82 622 76 77 27 124 204 26 111 17 5 1,020 211 52 89 25 466 267 62 2,378 45 46 47 8 104 169 136 34 117 378 317 303 333 163 31 131 27 73 3,978 2 165 304 326 98 172 433 13 55 165 312 117 77 638 2,471 103 409
Burglary
52 30 48 66 9 6,203 9 7 1 4 30 23 17 16 151 16 39 92 5 122 2 5 1 11 12 6 11 2 2 121 29 17 11 22 44 53 9 392 4 6 4 1 16 37 16 2 10 47 46 24 15 6 4 16 6 3 945 1 21 29 46 7 20 56 1 15 9 13 14 4 55 430 21 48
Larcenytheft
269 89 356 361 32 24,248 46 138 5 26 316 250 79 126 623 91 207 389 75 477 74 69 26 104 186 19 87 15 3 850 175 30 71 0 417 202 49 1,925 40 37 43 7 82 127 118 32 101 324 262 272 312 152 27 112 21 69 2,766 1 134 266 268 90 151 361 11 39 154 291 102 73 574 1,979 81 343
Motor vehicle theft
16 4 16 24 3 7,748 1 10 0 1 12 9 7 3 30 7 11 18 2 23 0 3 0 9 6 1 13 0 0 49 7 5 7 3 5 12 4 61 1 3 0 0 6 5 2 0 6 7 9 7 6 5 0 3 0 1 267 0 10 9 12 1 1 16 1 1 2 8 1 0 9 62 1 18
Arson1
2 0 0 2 0 346 0 0 1 0 0 3 0 0 2 0 1 16 0 5 0 0 0 0 2 0 0 0 0 5 0 0 1 0 1 0 0 17 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 26 0 0 0 6 0 0 0 0 0 0 0 0 0 1 13 0 1
SECTION II: OFFENSES REPORTED 209 Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
WYOMING
1 The
City
Shorewood Hills ...................... Silver Lake ............................... Siren .......................................... Slinger ....................................... Somerset ................................... South Milwaukee..................... Sparta........................................ Spencer ..................................... Spooner .................................... Spring Green............................ Stanley ...................................... St. Croix Falls ........................... Stevens Point............................ St. Francis ................................. Stoughton ................................. Strum......................................... Sturgeon Bay ........................... Sturtevant ................................. Summit...................................... Sun Prairie................................ Superior .................................... Theresa ..................................... Thiensville ................................ Three Lakes ............................. Tomah ....................................... Tomahawk ................................ Town of East Troy ................... Town of Madison..................... Town of Menasha .................... Trempealeau ............................ Twin Lakes ............................... Two Rivers ............................... Valders ...................................... Verona ...................................... Viroqua..................................... Walworth .................................. Washburn ................................. Waterloo ................................... Watertown ................................ Waukesha ................................. Waunakee................................. Waupaca ................................... Waupun..................................... Wausau ..................................... Wautoma .................................. Wauwatosa ............................... West Allis.................................. West Bend ................................ Westby ...................................... West Milwaukee ...................... West Salem ............................... Whitefish Bay .......................... Whitehall .................................. Whitewater............................... Williams Bay ............................ Winneconne ............................. Wisconsin Dells ....................... Wisconsin Rapids .................... Woodruff .................................. Afton......................................... Basin ......................................... Buffalo ...................................... Casper ....................................... Cheyenne.................................. Cody.......................................... Diamondville ........................... Douglas..................................... Evanston................................... Evansville ................................. Gillette...................................... Glenrock................................... Green River ............................. Guernsey .................................. Hanna .......................................
Population
1,629 2,530 842 4,476 2,365 20,641 9,070 1,846 2,577 1,439 3,676 2,192 24,333 8,899 12,572 1,038 9,129 6,626 5,155 27,366 26,896 1,326 3,258 2,266 8,764 3,708 3,936 5,828 17,192 1,532 5,580 11,916 987 10,525 4,378 2,669 2,125 3,252 23,334 68,162 10,894 5,833 10,668 38,405 2,088 44,463 58,366 30,070 2,166 3,977 4,725 13,450 1,620 14,147 2,687 2,490 2,538 17,633 2,036 1,817 1,242 4,566 52,434 55,604 9,266 678 5,691 11,585 2,321 24,438 2,393 11,957 1,118 855
Violent crime
0 1 5 2 2 46 36 0 2 0 5 3 57 14 10 1 9 4 1 56 64 4 8 1 22 6 4 57 12 0 5 37 1 12 4 4 7 1 66 84 6 15 10 111 1 96 220 27 1 31 7 5 2 19 0 2 21 14 4 2 6 28 152 115 31 2 15 18 4 41 9 78 6 0
Murder and nonnegligent manslaughter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0
Forcible rape
0 0 0 0 0 7 3 0 0 0 0 0 11 1 2 0 0 1 1 5 15 0 0 1 3 0 0 13 3 0 1 1 0 0 0 0 0 0 6 12 0 0 1 16 0 6 9 3 1 1 0 0 2 9 0 0 6 5 0 0 1 2 20 23 3 0 2 7 0 9 2 2 0 0
Robbery
0 0 0 0 0 17 3 0 0 0 0 0 1 8 0 1 1 2 0 8 19 0 1 0 1 0 0 23 1 0 0 1 0 0 1 0 0 0 7 23 1 0 1 31 0 70 91 2 0 18 0 4 0 1 0 0 1 4 0 0 0 0 22 13 1 0 1 2 0 5 0 0 0 0
Aggravated assault
0 1 5 2 2 22 30 0 2 0 5 3 45 5 8 0 8 1 0 43 30 4 7 0 18 5 4 21 8 0 4 35 1 11 3 4 7 1 53 49 5 15 8 63 1 20 118 22 0 12 7 1 0 9 0 2 14 5 4 2 5 26 108 78 27 2 12 9 4 26 7 76 6 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
56 32 65 121 52 481 308 15 116 22 104 64 809 193 283 8 143 142 34 712 1,452 16 39 30 402 130 47 253 251 2 165 243 5 179 105 56 59 32 604 1,405 157 257 198 1,113 54 2,027 3,062 767 25 439 99 190 44 317 80 10 378 899 45 25 32 70 2,595 2,557 247 12 178 436 89 920 45 308 11 3
Burglary
3 2 8 14 3 68 55 2 16 2 9 5 135 25 41 1 14 31 8 72 209 1 7 3 26 14 8 34 55 0 15 51 1 21 2 9 2 4 117 348 10 12 22 249 4 289 584 57 4 50 6 20 4 74 8 7 66 142 6 10 2 6 504 261 37 3 20 44 11 103 9 55 2 0
Larcenytheft
53 30 57 106 46 380 247 13 98 20 94 59 656 158 231 6 125 101 24 616 1,174 14 28 26 359 107 34 179 188 1 135 181 4 156 101 46 54 27 459 990 141 239 170 799 48 1,612 2,290 695 19 352 92 165 39 240 70 2 304 727 37 15 30 58 1,935 2,208 206 9 157 375 73 773 30 235 9 1
Motor vehicle theft
0 0 0 1 3 33 6 0 2 0 1 0 18 10 11 1 4 10 2 24 69 1 4 1 17 9 5 40 8 1 15 11 0 2 2 1 3 1 28 67 6 6 6 65 2 126 188 15 2 37 1 5 1 3 2 1 8 30 2 0 0 6 156 88 4 0 1 17 5 44 6 18 0 2
Arson1
0 0 0 0 0 1 0 0 2 0 0 0 2 0 1 0 5 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 5 0 0 0 12 0 0 20 3 0 0 0 0 0 1 0 0 1 2 0 0 0 1 7 11 0 0 0 1 0 6 0 0 1 0
210
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 8.
Offenses Known to Law Enforcement, by State and City, 2007 (Contd.)
(Number.)
State
City
Jackson...................................... Kemmerer ................................ Lander ...................................... Laramie..................................... Lovell ........................................ Lusk .......................................... Mills........................................... Moorcroft ................................. Newcastle ................................. Pine Bluffs ................................ Powell........................................ Rawlins ..................................... Riverton.................................... Rock Springs ............................ Saratoga.................................... Sheridan.................................... Sundance .................................. Thermopolis ............................. Torrington ................................ Wheatland ................................ Worland .................................... 1 The
Population
9,292 2,508 7,066 25,504 2,279 1,316 2,926 861 3,275 1,142 5,388 8,572 9,795 19,432 1,721 16,507 1,199 2,912 5,446 3,426 4,857
Violent crime
42 3 15 18 4 5 9 1 12 5 11 54 32 135 1 9 0 17 7 7 15
Murder and nonnegligent manslaughter 0 0 0 0 1 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0
Forcible rape
19 0 0 1 0 0 0 0 0 1 4 5 7 9 0 2 0 0 0 1 0
Robbery
0 0 0 4 0 0 0 1 0 0 0 3 1 16 0 3 0 0 1 0 0
Aggravated assault
23 3 15 13 3 5 9 0 12 4 7 45 24 107 1 4 0 17 6 6 15
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
323 25 213 828 28 17 87 14 122 20 202 377 417 851 22 372 12 81 170 121 43
Burglary
25 1 24 76 0 4 13 8 19 6 17 53 49 154 0 58 4 10 36 17 10
Larcenytheft
280 24 178 690 28 13 68 5 96 13 179 307 337 643 22 297 7 70 133 100 25
Motor vehicle theft
18 0 11 62 0 0 6 1 7 1 6 17 31 54 0 17 1 1 1 4 8
Arson1
4 1 0 8 0 0 1 0 0 0 3 1 2 6 0 4 0 0 0 1 0
SECTION II: OFFENSES REPORTED 211 Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007
(Number.)
State
ALABAMA
ALASKA ARIZONA
ARKANSAS
University/College
Alabama State University ...... Auburn University ................. Jacksonville State University... Troy University ........................ University of Alabama............ University of Montevallo ....... University of North Alabama University of South Alabama University of Alaska: .............. Arizona State University ....... Central Arizona College......... Northern Arizona University. Pima Community College ...... Yavapai College....................... Arkansas State University:..... Arkansas Tech University ...... Henderson State University... Northwest Arkansas Community College ................ Southern Arkansas University University of Arkansas: ..........
CALIFORNIA
University of Central Arkansas................................... Allan Hancock College .......... California State Polytechnic University: ...........
California State University:....
College of the Sequoias .......... Contra Costa Community College...................................... Cuesta College......................... El Camino College .................. Foothill-De Anza College ...... Fresno Community College ... Humboldt State University .... Marin Community College..... Pasadena Community College...................................... Reedley Community College...................................... Riverside Community College...................................... San Bernardino Community College ................ San Diego State University ....
Campus
Montgomery
Tuscaloosa
Anchorage Fairbanks Main Campus
Beebe Jonesboro
Fayetteville Little Rock Medical Sciences Monticello Pine Bluff
Pomona San Luis Obispo Bakersfield Channel Islands Chico Dominguez Hills East Bay Fresno Fullerton Long Beach Los Angeles Monterey Bay Northridge Sacramento San Bernardino San Jose3 Stanislaus
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
5,565 5,079 8,957 27,938 23,838 2,895 6,810 13,090 16,163 8,340 51,234 6,471 20,555 32,532 9,305 4,073 10,949 7,038 3,664
13 0 5 2 5 0 1 14 5 5 34 3 28 2 1 0 3 2 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 1 0 0 2 1 0 8 0 6 0 0 0 1 1 0
9 0 1 1 2 0 1 0 2 0 7 0 1 1 0 0 0 0 0
4 0 4 0 2 0 0 12 2 5 19 3 21 1 1 0 2 1 0
136 48 120 180 509 44 91 171 103 88 1,063 50 396 264 42 0 160 82 20
28 3 36 17 151 1 35 46 5 2 138 17 58 3 5 0 69 33 19
106 43 83 162 353 43 54 119 93 85 853 32 331 213 36 0 89 49 1
2 2 1 1 5 0 2 6 5 1 72 1 7 48 1 0 2 0 0
1
1 0 3 0 6 1 0 0 0 0 0
5,732 3,113 17,926 11,905
0 5 10 13
0 0 0 0
0 0 3 0
0 1 0 9
0 4 7 4
0 40 270 210
0 6 80 82
0 32 185 123
0 2 5 5
0 0 0 0
2,435 3,179 3,128
7 1 13
0 0 0
0 1 1
2 0 2
5 0 10
215 26 97
1 7 48
200 19 47
14 0 2
0 0 0
12,330 12,321
5 1
0 0
0 0
1 0
4 1
227 21
63 7
159 14
5 0
1 0
20,510
2
0
1
1
0
224
26
169
29
1
18,722 7,711
2 2
0 0
0 0
1 1
1 1
127 115
7 31
115 74
5 10
0
3,123 16,250
1 13
0 0
0 5
0 3
1 5
38 255
4 28
34 226
0 1
0 2
12,068 12,706 22,098 35,921 35,574 20,565
10 3 10 7 7 6
0 0 0 0 0 0
2 0 0 2 1 2
3 2 4 3 2 1
5 1 6 2 4 3
103 105 347 197 200 232
18 15 59 45 19 23
63 80 275 128 154 175
22 10 13 24 27 34
0 0 1 1 0 0
3,818 34,560 28,529
6 15 4
1 0 0
1 5 2
0 5 0
4 5 2
113 266 252
33 30 42
71 223 192
9 13 18
1 0 1
16,479 8,374 9,959
7 12 2 0
0 0 0 0
1 3 0 0
2 7 0 0
4 2 2 0
130 384 54 64
28 35 5 34
91 344 45 27
11 5 4 3
0 3 0 0
6,870 10,578 23,488 39,874 22,040 7,435 6,512
16 0 8 2 5 3 2
0 0 0 0 0 0 0
0 0 0 0 0 1 0
14 0 8 1 3 2 0
2 0 0 1 2 0 2
198 16 171 73 189 122 45
6 4 22 31 8 14 6
172 11 116 41 146 107 39
20 1 33 1 35 1 0
0 2 0 1 0 1
25,873
12
0
0
10
2
197
0
181
16
1
11,782
0
0
0
0
0
39
2
37
0
0
29,486
3
0
1
0
2
133
7
118
8
0
12,090 33,441
5 33
0 0
2 9
1 8
2 16
77 585
21 85
44 393
12 107
0
1 0
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available.The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
212
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
University/College
San Francisco State University ................................. San Jose/Evergreen Community College ................ Santa Rosa Junior College ..... Sonoma State University........ University of California:.........
COLORADO
Ventura County Community College District ..................................... West Valley-Mission College.. Adams State College .............. Arapahoe Community College...................................... Auraria Higher Education Center3 ................... Colorado School of Mines...... Colorado State University:..... Fort Lewis College .................. Pikes Peak Community College...................................... Red Rocks Community College...................................... University of Colorado: ..........
CONNECTICUT
DELAWARE FLORIDA
University of Northern Colorado................................... Central Connecticut State University ....................... Eastern Connecticut State University ....................... Southern Connecticut State University ....................... University of Connecticut:
Western Connecticut State University ....................... Yale University ........................ Delaware State University ..... University of Delaware........... Florida Atlantic University .... Florida Gulf Coast University .................................
Campus
Berkeley Davis Hastings College of Law Irvine Los Angeles Medical Center, Sacramento3 Merced Riverside San Diego San Francisco Santa Barbara Santa Cruz
Fort Collins Pueblo
Boulder Colorado Springs Health Sciences Center3 Health Sciences Center, Fitzsimons Campus3
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
29,628
10
0
1
4
5
317
59
233
25
1
18,164 24,806 8,274 33,920 29,628
0 0 4 48 10
0 0 0 0 0
0 0 1 7 0
0 0 2 27 0
0 0 1 14 10
79 86 122 842 716
10 10 20 89 85
63 72 101 737 623
6 4 1 16 8
2 0 0 11 3
1,272 25,230 36,611
8 7 38
0 0 0
0 3 5
6 1 13
2 3 20
29 486 955
15 54 227
13 419 686
1 13 42
1 1
1,286 16,875 26,247 2,943 21,082 15,364
6 1 10 5 3 13 8
0 0 0 0 0 0 0
0 0 0 1 0 5 3
1 0 8 2 1 0 1
5 1 2 2 2 8 4
185 19 317 471 404 498 243
21 3 51 56 30 36 40
157 16 247 373 355 459 198
7 0 19 42 19 3 5
1 0 7 4
11,757 18,740 8,442
2 0 12
0 0 0
0 0 5
1 0 0
1 0 7
112 66 50
1 6 20
110 57 29
1 3 1
2 0 0
6,918
0
0
0
0
0
18
0
18
0
0
4 4,357 27,636 6,205 3,905
0 2 7 0 3
0 0 0 0 0
2 0 3 0 3
2 0 2 0 0
250 2 2 0 0
22 41 428 49 83
219 4 14 2 20
9 36 407 42 62
1 1 7 5 1
0 3 1 1
10,526
2
0
0
0
2
18
0
18
0
0
6,727 31,665
0 14
0 0
0 5
0 2
0 7
18 457
0 54
18 398
0 5
0 7
8,647
5
0
3
0
2
75
14
60
1
1
0
0
0
0
0
27
1
25
1
0
0
0
0
0
0
38
2
36
0
0
13,363
5
0
4
1
0
207
23
178
6
0
12,144
0
0
0
0
0
52
7
44
1
0
5,239
2
0
0
2
0
76
5
64
7
0
12,326
0
0
0
0
0
107
7
98
2
0
1
0
0
0
1
42
2
40
0
0
8
0
0
3
5
267
38
214
15
3
6,086 11,415 3,690 20,380 25,325
1 6 10 10 6
0 0 1 0 0
1 0 2 0 2
0 1 3 5 2
0 5 4 5 2
45 426 47 330 259
16 120 13 34 47
28 299 33 294 191
1 7 1 2 21
0 0 0 0 0
8,279
2
0
0
1
1
34
2
32
0
0
Health Center3 Storrs, Avery Point, and Hartford3
1 7
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
SECTION II: OFFENSES REPORTED 213 Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
University/College
Florida International University ................................. Florida State University: ........ New College of Florida........... Pensacola Junior College........ Santa Fe Community College Tallahassee Community College...................................... University of Central Florida. University of Florida............... University of North Florida ... University of South Florida: ..
GEORGIA
INDIANA
IOWA
KANSAS
KENTUCKY
University of West Florida ..... Abraham Baldwin Agricultural College ............... Albany State University ......... Armstrong Atlantic State University ................................. Berry College........................... Clark Atlanta University ........ Coastal Georgia Community College ................ Columbus State University .... Dalton State College............... Emory University .................... Georgia College and State University ....................... Georgia Institute of Technology ............................... Georgia Perimeter College .... Georgia Southern University ................................. Georgia Southwestern State University ....................... Georgia State University........ Kennesaw State University .... Medical College of Georgia ... Mercer University ................... Morehouse College ................. North Georgia College and State University................ Southern Polytechnic State University ....................... South Georgia College ........... University of Georgia ............. Valdosta State University ....... Wesleyan College .................... Ball State University ............... Indiana State University......... Indiana University:..................
Marian College ........................ Purdue University ................... Iowa State University ............. University of Iowa................... University of Northern Iowa.. Emporia State University....... Kansas City Community College...................................... Kansas State University.......... Pittsburg State University ...... University of Kansas: ..............
Washburn University .............. Wichita State University......... Eastern Kentucky University .................................
Campus
Murder and nonnegligent manslaughter
Forcible rape
Robbery
13 0 28 1 2 1
0 0 0 0 0 0
2 0 4 0 0 0
5 0 15 0 1 1
43,636 9,819
0 19 11 3 0 13 2
0 0 0 0 0 0 0
0 2 2 0 0 2 0
3,574 3,927
5 3
0 0
6,713 1,841 4,514
2 0 15
3,051 7,587 4,348 12,338
Student enrollment1
Bloomington Gary Indianapolis3 New Albany
Main Campus Medical Center
Motor vehicle theft
Burglary
Larcenytheft
6 0 9 1 1 0
463 7 581 66 65 66
90 0 82 4 12 2
342 7 480 61 51 62
31 0 19 1 2 2
1 0 4 0 0 0
0 10 5 2 0 4 0
0 7 4 1 0 7 2
156 647 551 216 40 427 72
0 87 23 14 0 120 7
152 524 502 197 31 273 61
4 36 26 5 9 34 4
0 2 2 0 0 2 0
1 0
1 0
3 3
65 110
14 3
50 107
1 0
0
0 0 0
0 0 1
0 0 12
2 0 2
43 48 188
12 9 67
30 39 101
1 0 20
0 0 0
0 0 1 3
0 0 0 0
0 0 0 2
0 0 1 1
0 0 0 0
8 81 15 357
0 3 0 33
8 78 15 319
0 0 0 5
0
6,040
0
0
0
0
0
23
2
21
0
0
17,936 19,955
15 0
0 0
2 0
6 0
7 0
587 147
85 4
448 133
54 10
0
16,425
2
0
0
2
0
255
14
236
5
1
2,456 26,135 19,844 2,227 7,049 2,933
9 16 2 3 5 8
0 0 0 0 0 0
2 0 0 0 0 0
4 15 0 2 2 6
3 1 2 1 3 2
44 229 176 153 61 158
2 12 60 4 13 23
42 214 111 144 47 131
0 3 5 5 1 4
4,922
1
0
1
0
0
44
2
42
0
0
4,206 1,465 33,959 10,888 632 20,030 10,568 38,247 4,819
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 1 1 0 5 1 5 0 0 0 1 3 1 3 2 0
1 0 0 0 0 3 1 8 0 0 0 1 3 3 1 0 0
0 1 5 1 0 1 6 5 0 6 0 0 2 14 5 2 1
74 24 409 180 14 316 266 511 26 419 16 20 447 327 273 112 43
22 7 16 1 0 49 27 100 0 99 0 5 84 43 30 6 4
47 16 386 178 14 262 234 396 26 307 16 14 362 275 240 106 37
5 1 7 1 0 5 5 15 0 13 0 1 1 9 3 0 2
0 0
6,183 1,796 40,609 25,462 28,816 12,327 6,473
2 1 6 2 0 9 8 18 0 6 0 2 8 18 9 4 1
0 0 0 0 0 0 0 0 3 1 0 0
5,547 23,141 6,859 26,773
0 8 2 9
0 0 0 0
0 4 1 4
0 1 0 3
0 3 1 2
45 144 92 230
2 36 7 63
41 105 84 164
2 3 1 3
0 0 1 1
2,150 7,153 13,964
6 1 2
0 0 0
0 1 1
2 0 1
4 0 0
211 50 142
0 17 4
203 33 134
8 0 4
0 0 1
15,763
7
0
4
2
1
227
47
180
0
0
39,973 746 10,208 14,012 12,732 46,646 50,912 15,954
St. Petersburg3 Tampa
Aggravated assault
Property crime
37,997 Panama City3 Tallahassee
Violent crime
Arson2
0
0 1
1
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
CRIME IN THE UNITED STATES (BERNAN PRESS)
214
Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
LOUISIANA
University/College
Kentucky State University ..... Morehead State University .... Murray State University ......... Northern Kentucky University ................................. University of Kentucky........... University of Louisville .......... Western Kentucky University ................................. Delgado Community College...................................... Grambling State University ... Louisiana State University ..... McNeese State University...... Nicholls State University........ Southeastern Louisiana University ................................. Southern University and A&M College: ......................... Tulane University .................... University of Louisiana: .........
MAINE
MARYLAND
MASSACHUSETTS
University of New Orleans..... University of Maine: ............... University of Southern Maine Bowie State University ........... Coppin State University ......... Frostburg State University ..... Morgan State University ........ Salisbury University ................ St. Mary’s College.................... Towson University................... University of Baltimore.......... University of Maryland:..........
Assumption College................ Bentley College ....................... Boston College ........................ Boston University.................... Brandeis University ................ Bridgewater State College ..... Bristol Community College ... Clark University ...................... Dean College ........................... Emerson College ..................... Fitchburg State College .......... Harvard University ................. Holyoke Community College...................................... Lasell College .......................... Massachusetts College of Art......................................... Massachusetts College of Liberal Arts ......................... Massachusetts Institute of Technology........................... Massasoit Community College...................................... Merrimack College.................. Mount Holyoke College ......... Northeastern University......... North Shore Community College......................................
Campus
Baton
Student enrollment1
Lafayette Monroe Farmington Orono
Baltimore City Baltimore County College Park Eastern Shore
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
2,498 8,958 10,298
1 2 2
0 0 0
0 2 1
1 0 0
0 0 1
20 46 122
4 9 18
16 37 104
0 0 0
0 0 9
14,617 26,382 20,785
3 14 5
0 0 0
1 3 0
2 6 4
0 5 1
124 573 277
3 33 34
121 533 235
0 7 8
0 0 0
18,660
6
0
2
3
1
232
64
161
7
1
11,916 5,065 8,327 6,804
3 8 19 2 6
0 0 2 0 0
0 1 0 0 1
1 1 9 0 0
2 6 8 2 5
27 173 456 91 36
1 99 55 9 3
25 69 382 80 32
1 5 19 2 1
0 0 1 0 0
15,106
7
0
1
1
5
172
29
139
4
0
8,624 2,197 10,237 16,302 8,576 11,747 2,421 11,797 10,478 5,291 4,104 4,910 6,705 7,383 1,957 18,921 4,948
9 0 24 2 7 12 3 1 2 15 2 16 25 2 2 13 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 18 1 0 0 1 1 2 0 0 2 0 0 0 0 0
3 0 2 0 2 1 0 0 0 4 2 0 18 0 0 0 2
4 0 4 1 5 11 2 0 0 11 0 14 7 2 2 13 0
179 11 232 139 153 87 51 252 68 97 35 130 154 94 85 176 57
13 0 69 13 17 3 9 20 5 46 11 50 32 5 6 53 5
161 11 156 123 132 79 42 230 63 45 23 79 121 88 78 122 49
5 0 7 3 4 5 0 2 0 6 1 1 1 1 1 1 3
0 0 0 0 0 0 0 25 5 2 0 1 0 0 0 5 0
5,636
13
0
0
9
4
106
1
105
0
0
11,798 35,102 4,130 2,792 5,555 14,661 31,574 5,313 9,655 6,927 3,071 1,315 4,324 5,508 25,778
0 18 8 7 3 18 16 1 6 0 8 1 6 3 9
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 10 4 0 1 0 0 1 2 1 1
0 9 4 0 0 0 5 0 0 0 1 0 1 0 3
0 9 3 7 3 8 7 1 5 0 7 0 3 2 5
167 568 175 42 77 161 525 67 93 13 59 26 48 64 510
27 89 32 7 17 61 71 10 21 1 18 14 15 0 301
131 439 143 35 60 98 450 57 72 12 41 12 33 63 204
9 40 0 0 0 2 4 0 0 0 0 0 0 1 5
0 7 0 1 0
6,297 1,275
0 2
0 0
0 1
0 0
0 1
46 43
0 5
42 38
4 0
0
2,286
0
0
0
0
0
51
8
43
0
0
1,805
3
0
0
0
3
29
3
26
0
0
10,253
4
0
0
0
4
497
115
372
10
1
6,975 2,282 2,153 23,411
0 3 4 8
0 0 0 0
0 0 3 4
0 0 0 3
0 3 1 1
16 48 103 339
0 14 8 45
16 34 95 293
0 0 0 1
0 0 0 0
6,910
1
0
0
0
1
24
1
23
0
0
Rouge3
Baton Rouge New Orleans
Violent crime
1 0 0 0 0
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
SECTION II: OFFENSES REPORTED 215 Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
University/College
Salem State College ................ Springfield College.................. Tufts University: ......................
University of Massachusetts: .........................
MICHIGAN
MINNESOTA4
MISSISSIPPI
MISSOURI
NEBRASKA
Wellesley College .................... Western New England College...................................... Westfield State College........... Central Michigan University ................................. Delta College ........................... Eastern Michigan University ................................. Grand Rapids Community College ................ Lansing Community College...................................... Macomb Community College...................................... Michigan State University...... Michigan Technological University ................................. Mott Community College....... Northern Michigan University ................................. Oakland Community College...................................... Oakland University................. Saginaw Valley State University ................................. University of Michigan: ..........
Western Michigan University ................................. University of Minnesota: ........
Coahoma Community College...................................... Jackson State University......... Mississippi State University ... University of Mississippi: .......
Lincoln University................... Mineral Area College ............. Missouri Western State University ................................. Northwest Missouri State University ....................... Southeast Missouri State University ................................. St. Louis Community College ..................................... Truman State University......... University of Central Missouri .................................... University of Missouri: ...........
Washington University ........... University of Nebraska:..........
Murder and nonnegligent manslaughter
Forcible rape
Robbery
4 11 7 1 1
0 0 0 0 0
1 1 3 0 0
0 1 2 1 0
25,593 8,756
23 17
0 0
2 1
12,362 2,370
2 1
0 0
3,653 5,426
4 2
26,710 10,149
Student enrollment1
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
3 9 2 0 1
88 80 153 32 3
32 26 29 0 0
55 52 123 32 3
1 2 1 0 0
3 3
18 13
294 268
71 68
214 199
9 1
1
0 0
1 0
1 1
111 51
32 17
79 34
0 0
0
0 0
1 2
2 0
1 0
40 58
3 12
35 46
2 0
0 0
4 1
0 0
2 0
1 0
1 1
197 42
9 0
186 42
2 0
5 0
22,950
9
0
3
1
5
326
100
216
10
6
15,224
3
0
0
2
1
187
3
183
1
0
20,394
3
0
0
2
1
134
1
133
0
1
21,131 45,520
2 26
0 0
0 3
1 11
1 12
82 803
0 118
82 676
0 9
1 1
6,546 10,038
0 2
0 0
0 0
0 1
0 1
91 77
11 3
79 73
1 1
0 0
9,689
6
0
5
0
1
113
14
98
1
1
24,123 17,737
1 7
0 0
1 1
0 1
0 5
66 116
2 6
63 106
1 4
1 1
Ann Arbor Dearborn Flint
9,543 40,025 8,342 6,527
4 20 0 1
0 0 0 0
1 3 0 0
0 2 0 1
3 15 0 0
89 864 59 76
43 27 1 6
45 832 51 64
1 5 7 6
1 5 0 1
24,841 11,190 1,747 50,402
5
0 0 0 0
4
Duluth Morris Twin Cities
1 1 0 13
0 2 0 8
186 86 26 701
4 12 0 74
177 73 26 617
5 1 0 10
2 0 0 4
1,838 8,256 16,206
1 0 6
0 0 0
0 0 2
0 0 0
1 0 4
14 110 151
12 16 11
1 88 135
1 6 5
0 2 0
1,598 15,220 3,224 2,926
3 0 8 0
0 0 0 0
1 0 2 0
2 0 0 0
0 0 6 0
165 184 38 4
3 10 7 4
155 173 30 0
7 1 1 0
0 0 0 0
5,276
0
0
0
0
0
77
40
37
0
0
6,242
1
0
0
1
0
44
12
30
2
0
10,454
2
0
0
0
2
79
28
51
0
0
10,887 5,820
2 0
0 0
0 0
0 0
2 0
18 75
1 9
17 64
0 2
0 1
10,711 28,184 14,213 5,858 15,528 13,355 6,468 22,106
6 11 2 0 9 1 0 1
0 0 0 0 0 0 0 0
0 1 0 0 1 0 0 1
2 2 0 0 2 1 0 0
4 8 2 0 6 0 0 0
92 374 126 53 121 151 58 347
11 23 22 5 21 12 11 47
81 351 99 48 96 138 47 294
0 0 5 0 4 1 0 6
0 2 0 0 0 1 0 0
Campus
Medford Suffolk3 Worcester3 Amherst Dartmouth Harbor Campus, Boston
Medical Center Oxford
Meramec
Columbia Kansas City Rolla St. Louis Kearney Lincoln
10,230 4,994 9,638
Violent crime
Arson2
0 0 0 0
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available.The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available. 4 The data collection methodology for the offense of forcible rape used by the Minnesota state Uniform Crime Reporting (UCR) program does not comply with national UCR guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
216
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
NEVADA
NEW JERSEY
University/College
Truckee Meadows Community College ................ University of Nevada: ............. Brookdale Community College...................................... Essex County College ............. Kean University of New Jersey ............................... Middlesex County College ..... Monmouth University ............ Montclair State University ..... New Jersey Institute of Technology ............................... Richard Stockton College ...... Rowan University.................... Rutgers University: .................
Stevens Institute of Technology ............................... The College of New Jersey ........................................ University of Medicine and Dentistry: ..........................
Campus
Las Vegas Reno
Camden Newark New Brunswick
NEW MEXICO
NEW YORK
State University of New York Agricultural and Technical College: ................... State University of New York College: ..................
United States Merchant Marine Academy .....................
Albany Buffalo Downstate Medical Center3 Maritime College Upstate Medical Center3
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
0 8 6
0 0 0
0 1 1
0 1 3
0 6 2
22 410 160
15 60 23
6 292 132
1 58 5
0 2 1
13,745 10,972
1 1
0 0
0 0
1 1
0 0
39 71
2 1
36 66
1 4
0 0
13,050 11,990 6,399 16,076
4 0 3 4
0 0 0 0
0 0 2 2
0 0 0 0
4 0 1 2
99 44 73 328
17 0 8 27
80 44 64 299
2 0 1 2
0 0 2 0
8,209 7,212 9,578 5,165 10,203
17 3 7 2 10
0 0 1 0 0
0 0 1 1 0
8 0 2 1 6
9 3 3 0 4
137 75 147 80 196
3 23 31 14 31
121 52 115 61 146
13 0 1 5 19
0 1 1 1 1
34,392
14
0
2
7
5
586
102
481
3
5
4,829
1
0
0
1
0
38
3
34
1
0
6,934
0
0
0
0
0
86
15
70
1
0
5,677
1 37
0 0
0 0
1 17
0 20
2 249
0 10
2 210
0 29
0 0
3 0
0 0
0 0
3 0
0 0
23 9
0 0
23 9
0 0
0 0
10,599
3
0
0
1
2
91
11
79
1
0
4,122 25,721 19,639 6,409
1 24 5 0
0 0 0 0
1 3 0 0
0 2 1 0
0 19 4 0
46 632 321 155
6 60 34 29
40 505 276 126
0 67 11 0
0 2 3 2
6,680
0
0
0
0
0
118
13
105
0
0
17,434 27,823
3 7
0 0
2 2
0 2
1 3
181 473
17 121
164 347
0 5
0 2
5
0
0
2
3
68
2
66
0
0
0
0
0
0
0
44
7
36
1
0
2
0
0
0
2
146
0
146
0
0
0 1
0 0
0 0
0 0
0 1
38 98
0 4
37 93
1 1
0 0
11,220 6,995 5,406 5,530 7,699 3,450 5,786 8,183 6,217 4,332 3,891
11 2 0 1 0 2 0 1 0 1 5
0 0 0 0 0 0 0 0 0 0 0
4 1 0 0 0 2 0 1 0 0 2
4 0 0 0 0 0 0 0 0 0 1
3 1 0 1 0 0 0 0 0 1 2
226 119 111 95 90 107 83 134 138 103 138
33 30 11 11 11 8 10 16 11 19 35
184 89 100 84 79 96 73 117 127 84 102
9 0 0 0 0 3 0 1 0 0 1
2 0 1 0 0 0 0 0 0 0 2
949
0
0
0
0
0
44
27
17
0
0
1,324
Farmingdale3 Morrisville3 Buffalo Cortland Fredonia Geneseo New Paltz Old Westbury Oneonta Oswego Plattsburgh Potsdam Purchase
Violent crime
11,556 27,912 16,663
Camden3 Newark New Brunswick3 Piscataway3
William Paterson University ................................. Eastern New Mexico University ................................. University of New Mexico...... Cornell University................... Ithaca College .......................... Rensselaer Polytechnic Institute..................................... State University of New York:.................................
Student enrollment1
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
SECTION II: OFFENSES REPORTED 217 Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
NORTH CAROLINA
NORTH DAKOTA
OHIO
OKLAHOMA
University/College
Appalachian State University ................................. Duke University ...................... East Carolina University ........ Elon University........................ Fayetteville State University ................................. Methodist College ................... North Carolina Agricultural and Technical State ........................ North Carolina Central University ................................. North Carolina School of the Arts ................................ North Carolina State University ................................ University of North Carolina: ...................................
Wake Forest University .......... Western Carolina University ................................. North Dakota State College of Science ................... North Dakota State University ................................. University of North Dakota ...................................... Bowling Green State University ................................. Cleveland State University..... Columbus State Community College ................ Cuyahoga Community College...................................... Kent State University ............. Lakeland Community College...................................... Marietta College...................... Miami University..................... Ohio State University ............. Ohio University ....................... Sinclair Community College...................................... University of Akron ................ University of Cincinnati ......... Wright State University.......... Youngstown State University ................................. Cameron University................ East Central University5 ......... Murray State College.............. Northeastern Oklahoma A&M College .......................... Northeastern State University ................................. Oklahoma State University: ................................
Rogers State University.......... Seminole State College........... Southeastern Oklahoma State University .......................
Campus
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
15,117 13,373 24,351 5,230
3 3 12 1
0 0 0 0
1 1 1 0
1 1 5 0
1 1 6 1
162 698 246 75
23 61 10 12
138 629 234 63
1 8 2 0
3 0 0 1
6,301 2,116
2 0
0 0
1 0
1 0
0 0
138 31
5 2
128 29
5 0
0 0
11,098
17
0
0
8
9
270
47
220
3
2
8,675
14
0
0
4
10
251
40
204
7
0
845
1
0
0
0
1
32
5
26
1
0
Raleigh
31,130
17
0
3
8
6
390
51
335
4
0
Asheville Chapel Hill Greensboro Pembroke Wilmington
3,639 27,717 16,872 5,827 12,098 6,739
0 3 9 0 1 3
0 0 0 0 0 0
0 0 0 0 1 0
0 2 4 0 0 0
0 1 5 0 0 3
47 428 262 93 281 132
5 12 3 8 22 21
41 408 254 84 250 110
1 8 5 1 9 1
0 0 0 0 1 1
8,861
1
0
1
0
0
164
22
140
2
3
2,493
0
0
0
0
0
45
13
32
0
1
12,258
0
0
0
0
0
135
12
121
2
0
12,834
3
0
2
0
1
131
6
125
0
0
19,108 14,807
3 6
0 0
0 0
1 6
2 0
300 164
50 6
248 139
2 19
4 0
22,745
1
0
0
1
0
118
2
112
4
0
24,289 22,697
2 1
0 0
0 1
2 0
0 0
126 186
4 31
120 153
2 2
0 0
8,649 1,522 16,329 51,818 20,610
0 0 10 17 7
0 0 0 0 0
0 0 3 8 4
0 0 1 6 2
0 0 6 3 1
26 26 194 976 237
0 20 21 207 42
25 6 172 756 194
1 0 1 13 1
0 0 0 17 2
19,103 21,882 28,327 16,088
0 15 8 4
0 0 0 0
0 6 0 0
0 8 5 3
0 1 3 1
114 367 551 227
5 15 51 38
108 338 497 179
1 14 3 10
0 1 2 2
13,273 5,737 4,453 2,232
4 0 13 2
0 0 0 0
1 0 3 1
3 0 1 0
0 0 9 1
141 23
122 20
2
14 1 10 0
2
5 2 5 0
0 0 0 0
1,923
0
0
0
0
0
36
19
17
0
0
9,417
7
0
3
3
1
77
17
60
0
0
23,499 3,255 3,955 2,038
8 0 0 0 0
0 0 0 0 0
1 0 0 0 0
0 0 0 0 0
7 0 0 0 0
199 21 20 19 16
32 3 5 4 0
164 17 5 15 16
3 1 10 0 0
1 0 0 0 0
3,830
2
0
0
0
2
47
18
28
1
1
Main Campus Okmulgee Tulsa3
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available. 5 The FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
218
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
University/College
Southwestern Oklahoma State University ....................... Tulsa Community College ...... University of Central Oklahoma................................. University of Oklahoma: ........
PENNSYLVANIA
Bloomsburg University........... California University .............. Cheyney University................. Clarion University................... Dickenson College .................. East Stroudsburg University.. Elizabethtown College............ Indiana University................... Kutztown University ............... Lehigh University.................... Lock Haven University........... Moravian College .................... Pennsylvania State University: ................................
Shippensburg University ........ Slippery Rock University ....... University of Pittsburgh: ........
RHODE ISLAND SOUTH CAROLINA
SOUTH DAKOTA
Campus
Health Sciences Center Norman
Altoona Beaver Behrend Berks Harrisburg Hazelton McKeesport3 Mont Alto University Park
Bradford Pittsburgh
West Chester University......... Brown University .................... University of Rhode Island .... Aiken Technical College......... Benedict College ..................... Bob Jones University3 ............. Clemson University................. Coastal Carolina University... College of Charleston ............. Columbia College.................... Denmark Technical College ... Erskine College ....................... Francis Marion University...... Lander University ................... Medical University of South Carolina......................... Midlands Technical College...................................... Presbyterian College............... South Carolina State University ................................. Spartanburg Methodist College...................................... The Citadel............................... Trident Technical College ....... University of South Carolina: ...................................
Winthrop University ............... South Dakota State University .................................
Aiken Columbia Upstate
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
5,122 16,632
0 1
0 0
0 0
0 0
0 1
80 51
25 2
55 41
0 8
0 0
15,588
4
0
2
0
2
136
10
126
0
5
3,790 25,923 8,723 7,720 1,667 6,563 2,400 7,013 2,329 14,248 10,193 6,858 5,175 1,965
3 0 6 1 16 5 1 6 2 26 6 5 0 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 4 3 0 0 0
0 0 2 0 2 0 0 0 1 0 2 1 0 1
3 0 3 1 14 5 1 6 1 22 1 4 0 2
181 323 77 59 105 24 40 95 21 113 121 103 65 28
4 38 2 4 56 6 3 53 0 24 19 6 3 3
173 273 73 55 49 18 37 42 21 87 102 95 61 24
4 12 2 0 0 0 0 0 0 2 0 2 1 1
0 0 0 0 4 0 0 3 0 1 0 2 0 0
3,837 730 3,839 2,660 3,799 1,143
1 0 0 0 0 0
0 0 0 0 0 0
1 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
33 8 26 17 25 13
2 1 4 9 8 3
31 7 22 8 17 10
0 0 0 0 0 0
0 0 1 0 2 0
1,032
0 1
0 0
0 0
0 0
0 1
15 23
6 5
9 18
0 0
0 0
42,914 7,516 8,230 1,333 26,860 12,879 8,125 15,062
9 3 1 0 27 6 4 5
0 0 0 0 0 0 0 0
1 1 0 0 0 1 0 2
4 0 0 0 11 1 1 1
4 2 1 0 16 4 3 2
545 97 58 17 379 114 198 211
80 39 0 2 23 46 54 22
460 58 58 15 354 67 144 182
5 0 0 0 2 1 0 7
3 2 0 0 0 3 2 1
2,442 2,531 17,309 8,049 11,218 1,446 1,377 924 4,075 2,682
0 13 0 10 1 4 0 0 0 2 2
0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0
0 10 0 2 1 2 0 0 0 0 0
0 3 0 7 0 2 0 0 0 2 2
0 248 29 256 82 144 11 0 1 54 45
0 120 17 31 13 22 0 0 0 10 10
0 124 12 211 66 118 11 0 1 43 35
0 4 0 14 3 4 0 0 0 1 0
0 5 0 1 2 2 0 0 0 0 1
2,498
2
0
0
0
2
199
3
194
2
0
10,849 1,224
2 0
0 0
0 0
2 0
0 0
33 0
0 0
32 0
1 0
0 0
4,384
13
0
0
6
7
187
62
123
2
1
779 3,306 11,808
1 0 0
0 0 0
0 0 0
1 0 0
0 0 0
21 7 49
9 2 3
11 5 45
1 0 1
0 1 0
3,380 27,390 4,608 6,292
1 15 3 3
0 0 0 0
0 3 1 0
0 4 0 1
1 8 2 2
34 395 39 125
1 83 6 12
32 305 32 107
1 7 1 6
0 1 1 5
11,303
0
0
0
0
0
0
0
0
0
0
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
SECTION II: OFFENSES REPORTED 219 Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
TENNESSEE
TEXAS
University/College
Austin Peay State University ................................. Christian Brothers University ................................. East Tennessee State University ................................. Middle Tennessee State University ................................. Northeast State Technical Community College ................ Southwest Tennessee Community College ................ Tennessee State University .... Tennessee Technological University ................................. University of Memphis ........... University of Tennessee:.........
Vanderbilt University ............. Volunteer State Community College ................ Walters State Community College...................................... Abilene Christian University ................................. Alamo Community College District3 ...................... Alvin Community College ..... Amarillo College ..................... Angelo State University ......... Austin College ......................... Baylor Health Care System3 ..................................... Baylor University ................... Central Texas College ............. College of the Mainland ......... Eastfield College ..................... El Paso Community College...................................... Grayson County College ........ Hardin-Simmons University ................................. Houston Baptist University ................................. Lamar University ................... Laredo Community College...................................... McLennan Community College...................................... Midwestern State University ................................. Mountain View College .......... North Lake College ................ Paris Junior College ................ Prairie View A&M University ................................. Rice University ........................ Richland College ..................... Southern Methodist University ................................. South Plains College ............... Southwestern University ........ Stephen F. Austin State University ................................. Sul Ross State University ....... Tarleton State University .......
Campus
Chattanooga Knoxville Martin Memphis3
Waco
Beaumont
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
9,207
6
0
2
1
3
58
2
56
0
1
1,779
0
0
0
0
0
42
3
35
4
3
12,390
5
0
0
2
3
97
17
75
5
3
22,863
16
0
3
3
10
264
73
186
5
2
5,145
0
0
0
0
0
17
2
15
0
0
11,446 9,038
1 7
0 0
0 0
1 3
0 4
75 114
0 4
70 103
5 7
0 0
9,733 20,562 8,923 28,901 6,888 11,607
4 6 7 6 3 2 41
0 1 0 0 0 0 0
0 2 1 2 0 0 13
1 1 2 1 2 1 4
3 2 4 3 1 1 24
120 200 204 411 73 66 526
26 32 62 3 16 1 51
90 159 138 402 54 60 473
4 9 4 6 3 5 2
0 1 1 0 0 0 3
7,370
0
0
0
0
0
24
1
23
0
0
5,738
0
0
0
0
0
8
0
8
0
0
4,777
0
0
0
0
0
80
16
63
1
0
20 3,996 10,356 6,265 1,354
0 0 2 1 0
1 0 0 0 0
2 0 0 1 0
17 0 0 0 0
317 0 2 0 0
11 9 29 103 51
290 0 2 7 8
16 8 27 95 42
0 1 0 1 1
0 1 0 0
7 14,040 17,726 3,834 12,015
1 10 1 1 1
0 0 0 0 0
1 0 0 0 0
5 0 0 0 0
501 10 1 1 1
26 258 17 27 48
459 20 0 0 20
16 236 17 26 28
0 2 0 1 0
0 0 1 0
26,105 3,720
0 0
0 0
0 0
0 0
0 0
125 24
3 7
117 17
5 0
0 0
2,367
1
0
0
0
1
36
19
15
2
0
2,143 9,906
1 14
0 0
0 4
0 1
1 9
14 113
1 11
13 101
0 1
0 0
8,152
0
0
0
0
0
22
1
20
1
0
7,794
1
0
1
0
0
41
1
40
0
0
6,042 7,022 9,397 4,331
1 0 0 2
0 0 0 0
0 0 0 1
0 0 0 0
1 0 0 1
48 42 55 16
12 0 3 5
34 27 52 11
2 15 0 0
0 0 0 0
8,006 5,024 14,555
7 5 3
0 0 0
1 2 0
0 1 2
6 2 1
253 200 83
98 22 7
150 173 73
5 5 3
1 0 0
10,941 9,045 1,277
8 1 0
0 0 0
2 0 0
2 0 0
4 1 0
281 28 24
31 4 11
244 24 12
6 0 1
1 0 0
11,756 2,773 9,464
9 1 1
0 0 0
2 1 1
2 0 0
5 0 0
303 33 68
43 15 22
250 18 45
10 0 1
2 0 0
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
220
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
University/College
Texas A&M International University ................................. Texas A&M University: ..........
Texas Christian University ..... Texas Southern University ..... Texas State Technical College:.....................................
Texas State University ........... Texas Technological University ................................ Texas Woman’s University ..... Trinity University .................... Tyler Junior College ................ University of Houston: ........... ...................................................
University of Mary Hardin-Baylor.......................... University of North Texas: .....
University of Texas:.................
UTAH
VERMONT
Western Texas College............ West Texas A&M University.. Brigham Young University..... College of Eastern Utah......... Southern Utah University ...... University of Utah................... Utah State University ............. Utah Valley State College ...... Weber State University........... University of Vermont ............
Campus
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
4,917
2
0
1
0
1
51
16
35
0
0
45,380 8,471
8 4
0 0
2 1
3 0
3 3
493 101
31 21
453 80
9 0
1 0
8,585 1,553 6,728 8,865 11,224
1 1 1 2 15
0 0 0 0 0
0 0 0 0 1
0 0 0 0 8
1 1 1 2 6
48 29 100 165 239
20 3 27 12 43
28 26 72 148 184
0 0 1 5 12
0 0 0 0 1
Harlingen Marshall Waco San Marcos
4,281 626 4,209 27,485
1 0 15 5
0 0 0 0
0 0 0 4
0 0 0 0
1 0 15 1
29 9 142 245
5 2 30 29
24 7 109 210
0 0 3 6
0 0 0 1
Lubbock
27,996 11,832 2,698 9,423
8 1 3 1
0 0 0 0
3 0 3 0
1 0 0 0
4 1 0 1
286 71 90 110
17 4 33 6
266 65 48 102
3 2 9 2
3 0 0 0
34,334 7,706
17 0
0 0
3 0
11 0
3 0
455 6
40 0
399 6
16 0
0 0
11,449
5
0
1
4
0
85
0
80
5
0
2,735 33,395
0 4
0 0
0 0
0 3
0 1
44 203
2 41
42 156
0 6
0 2
1,129 24,825 49,697 15,688 14,523 19,842
0 10 5 0 6 5
0 0 0 0 0 0
0 5 1 0 0 4
0 3 3 0 1 0
0 2 1 0 5 1
29 347 528 82 133 186
2 70 20 1 16 29
26 272 497 73 114 140
1 5 11 8 3 17
0 0 3 0 0 1
2,874
0
0
0
0
0
73
8
62
3
0
0 21
0 0
0 0
0 1
0 20
4 300
0 23
4 272
0 5
0 0
2,255
2
0
0
2
0
225
2
219
4
1
17,337
2
0
0
0
2
120
3
112
5
0
3,462 28,379
1 8
0 0
0 1
1 1
0 6
40 193
5 9
34 176
1 8
0 0
2,434 5,926 1,974 7,412 34,185 2,262 7,029 30,511 14,444 23,305 18,303 11,870
1 1 0 2 1 2 3 4 1 0 2 2
0 0 0 0 0 0 0 1 0 0 0 0
0 1 0 2 1 1 1 0 1 0 0 2
1 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 1 2 2 0 0 2 0
243 48 5 51 285 8 46 530 97 74 80 145
9 16 1 5 18 3 9 26 9 6 15 35
229 29 4 45 264 5 34 480 88 63 65 108
5 3 0 1 3 0 3 24 0 5 0 2
0 0 0 1 2 0 0 0 0 0 0 0
College Station Commerce Corpus Christi Galveston Kingsville
Central Campus Clearlake Downtown Campus
Denton Health Science Center Arlington Austin Brownsville Dallas El Paso Health Science Center, San Antonio Health Science Center, Tyler3 Houston3 Medical Branch Pan American Permian Basin San Antonio Southwestern Medical School Tyler
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
SECTION II: OFFENSES REPORTED 221 Table 9.
Offenses Known to Law Enforcement, by State and University and College, 2007 (Contd.)
(Number.)
State
VIRGINIA
WASHINGTON
WEST VIRGINIA
WISCONSIN
WYOMING
University/College
Christopher Newport University ................................. College of William and Mary .................................. Emory and Henry College ..... Ferrum College........................ George Mason University ...... Hampton University ............... James Madison University ..... Longwood College .................. Norfolk State University ........ Northern Virginia Community College ................ Old Dominion University....... Radford University ................. Thomas Nelson Community College ................ University of Richmond ......... University of Virginia.............. University of Virginia’s College at Wise ........................ Virginia Commonwealth University ................................. Virginia Military Institute ...... Virginia Polytechnic Institute and State University ................................. Virginia State University ........ Virginia Western Community College ................ Central Washington University ................................. Eastern Washington University ................................. Evergreen State College......... University of Washington ....... Washington State University: ............................... Western Washington University ................................. Fairmont State University ...... Glenville State College ........... Marshall University................. Potomac State College............ West Virginia State University ................................. West Virginia Tech................... West Virginia University ........ University of Wisconsin: .........
Sheridan College ..................... University of Wyoming ...........
Campus
Pullman Vancouver3
Eau Claire Green Bay La Crosse Madison Milwaukee Oshkosh Parkside Platteville Stevens Point Stout Superior Whitewater
Student enrollment1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson2
4,793
3
0
0
0
3
150
3
145
2
1
7,709 1,051 1,060 29,889 6,152 17,393 4,479 6,238
0 0 1 5 4 3 3 11
0 0 0 0 0 0 0 1
0 0 0 2 0 1 2 2
0 0 0 1 3 0 1 3
0 0 1 2 1 2 0 5
242 3 24 232 102 233 48 169
21 2 3 10 17 10 12 56
219 1 21 218 83 222 36 107
2 0 0 4 2 1 0 6
0 0 7 4 0 0 1 3
38,166 21,625 9,220
0 9 1
0 0 0
0 1 0
0 4 0
0 4 1
153 235 142
1 5 15
152 227 127
0 3 0
0 1 0
9,718 4,496 24,068
1 1 15
0 0 0
0 0 0
1 0 7
0 1 8
13 86 334
0 19 44
13 65 286
0 2 4
0 1 2
2,043
0
0
0
0
0
1
1
0
0
0
30,189 1,397
34 1
0 0
0 1
17 0
17 0
546 18
18 10
522 6
6 2
0 0
28,470 4,872
6 8
2 0
2 0
1 5
1 3
282 160
55 3
225 154
2 3
2 0
8,365
0
0
0
0
0
19
1
18
0
0
10,688
1
0
1
0
0
166
12
152
2
0
11,161 4,416 39,524
2 2 11
0 0 1
0 2 0
1 0 2
1 0 8
99 116 587
8 16 69
88 97 488
3 3 30
0 0 3
23,655
3 0
0 0
1 0
1 0
1 0
160 14
18 3
137 10
5 1
4 0
14,035 4,611 1,381 13,936 1,485
0 2 0 2 0
0 0 0 0 0
0 1 0 0 0
0 0 0 0 0
0 1 0 2 0
260 37 16 137 12
25 12 7 8 3
231 25 9 127 9
4 0 0 2 0
0 0 1 2 0
3,502 1,472 27,115 10,766 5,690 9,849 41,028 28,309 12,530 5,007 6,813 9,048 8,372 2,924 10,502 3,066 13,203
3 0 4 0 2 0 15 6 6 1 3 0 3 0 2 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 2 0 2 2 2 0 0 0 1 0 1 0 0
1 0 2 0 0 0 4 3 3 0 0 0 0 0 0 0 0
2 0 1 0 0 0 9 1 1 1 3 0 2 0 1 0 0
43 39 205 70 53 57 475 257 66 97 72 91 160 32 95 17 132
8 18 16 0 1 3 146 29 17 1 7 0 19 11 13 4 4
33 19 182 69 52 53 319 227 49 96 65 90 140 20 80 12 128
2 2 7 1 0 1 10 1 0 0 0 1 1 1 2 1 0
2 1 0 0 0 4 4 0 0 0 0 1 0 1 0 0 1
Note: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc. 1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 2 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. 3 Student enrollment figures were not available.
222
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Number.)
State
ALABAMAMetropolitan Counties
ALABAMANonmetropolitan Counties
ARIZONAMetropolitan Counties
ARIZONANonmetropolitan Counties
ARKANSASMetropolitan Counties 1 The 2 It
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Autauga ............................................. Bibb ................................................... Chilton .............................................. Colbert .............................................. Geneva .............................................. Hale ................................................... Henry 21 ............................................ Houston ............................................. Jefferson............................................. Lawrence ........................................... Limestone .......................................... Lowndes............................................. Madison ............................................. Mobile ................................................ Montgomery...................................... Morgan............................................... Russell................................................ Shelby................................................. Tuscaloosa.......................................... Walker ...............................................
28 11 291 170 23 58 0 12 557 39 19 28 216 245 66 24 21 83 280 26
0 0 1 0 3 1 3 3 3 0 0 1 4 7 0 0 1 0 4 0
5 1 8 9 1 6 3 0 48 2 3 2 21 29 4 4 2 12 25 3
4 0 2 6 0 12 15 2 221 4 2 7 31 80 16 4 4 18 58 3
19 10 280 155 19 39 165 7 285 33 14 18 160 129 46 16 14 53 193 20
421 78 454 624 173 242 57 477 5,320 449 240 133 2,176 2,624 719 407 105 961 2,278 688
138 29 151 137 69 88 86 100 1,844 143 50 103 588 783 219 196 50 341 633 222
243 46 296 477 85 134 22 319 2,932 286 150 22 1,311 1,572 426 166 43 545 1,388 442
40 3 7 10 19 20 58 544 20 40 8 277 269 74 45 12 75 257 24
Baldwin ............................................. Barbour ............................................. Bullock .............................................. Chambers .......................................... Cherokee .......................................... Clarke................................................. Clay..................................................... Cleburne ............................................ Coffee................................................. Conecuh ............................................. Coosa.................................................. Crenshaw ........................................... Cullman.............................................. Dale .................................................... De Kalb.............................................. Escambia............................................ Fayette................................................ Jackson ............................................... Lamar ................................................. Macon................................................. Marengo............................................. Marshall ............................................. Monroe .............................................. Perry ................................................... Pickens ............................................... Pike..................................................... Talladega............................................ Tallapoosa.......................................... Washington ........................................ Winston ..............................................
134 0 31 24 8 4 7 24 16 0 25 27 108 34 112 20 9 64 2 28 24 35 40 7 16 7 62 16 29 19
0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 2 0 0 0 1 0 0 0 0 0 1 0 0
23 0 0 3 6 0 0 7 0 0 7 1 24 5 32 0 1 7 0 3 6 8 0 1 3 1 7 3 2 5
6 0 2 1 0 0 0 3 2 0 4 3 7 2 1 1 0 7 0 6 5 1 1 0 0 0 14 7 3 1
105 0 29 20 2 4 7 14 14 0 13 23 75 27 79 19 8 48 2 19 13 25 39 6 13 6 41 5 24 13
993 2 140 163 249 13 130 209 163 14 173 189 1,495 127 686 151 132 609 37 282 174 495 100 95 66 98 662 252 52 183
316 0 64 53 66 5 47 76 72 4 57 45 470 38 187 45 56 190 14 119 82 152 36 28 36 46 210 95 18 41
610 2 76 107 182 6 82 108 89 10 107 118 908 88 408 91 56 334 18 119 82 313 51 57 26 50 413 122 32 132
67 0 0 3 1 2 1 25 2 0 9 26 117 1 91 15 20 85 5 44 10 30 13 10 4 2 39 35 2 10
Coconino............................................ Maricopa............................................ Mohave .............................................. Pima.................................................... Pinal.................................................... Yavapai .............................................. Yuma ..................................................
161 989 225 606 290 325 123
0 32 6 25 11 3 6
14 13 4 80 60 12 14
4 129 21 165 41 3 23
143 815 194 336 178 307 80
539 8,081 3,110 13,012 5,065 1,728 1,391
144 2,074 1,027 2,439 743 527 284
365 4,782 1,734 8,891 3,405 1,054 910
30 1,225 349 1,682 917 147 197
16 84 30 126 18 12 16
Cochise2 ............................................. Gila ..................................................... La Paz................................................. Navajo ................................................
61 66 65
2 0 0 1
17 3 0 8
17 0 0 4
58 66 52
1,383 396 429 738
564 121 82 393
656 219 317 224
163 56 30 121
20 6 1 5
Cleveland ........................................... Craighead ..........................................
2 22
0 0
0 4
1 1
1 17
101 373
49 135
42 211
10 27
1 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table.
30
SECTION II: OFFENSES REPORTED 223 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
ARKANSASNonmetropolitan Counties
CALIFORNIAMetropolitan Counties
1 The 2 It
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Crittenden.......................................... Faulkner ............................................. Franklin.............................................. Garland .............................................. Grant .................................................. Jefferson............................................. Lincoln ............................................... Lonoke ............................................... Madison ............................................. Perry ................................................... Poinsett .............................................. Pulaski................................................ Saline.................................................. Sebastian............................................ Washington ........................................
81 44 21 96 38 69 18 122 30 14 66 402 95 66 142
2 0 0 3 0 3 0 5 1 0 0 4 0 1 1
8 2 2 14 5 7 3 12 5 1 3 17 10 6 24
7 2 0 7 1 9 0 4 0 0 2 36 5 5 4
64 40 19 72 32 50 15 101 24 13 61 345 80 54 113
465 745 181 2,306 178 489 83 616 61 64 112 2,223 1,016 413 657
178 162 63 936 63 202 45 209 24 41 103 898 315 150 259
256 526 107 1,196 103 225 38 339 31 21 4 1,056 645 243 354
31 57 11 174 12 62 0 68 6 2 5 269 56 20 44
11 5 5 3 0 5 0 5 4 3 6 11 3 2 4
Arkansas ............................................ Ashley ................................................ Baxter................................................. Boone ................................................. Bradley............................................... Calhoun.............................................. Carroll ................................................ Chicot ................................................. Clark................................................... Clay..................................................... Cleburne ............................................ Columbia ........................................... Cross................................................... Dallas ................................................. Drew................................................... Fulton ................................................. Greene ............................................... Hempstead......................................... Howard .............................................. Independence.................................... Izard ................................................... Jackson ............................................... Johnson .............................................. Lafayette............................................ Lawrence ........................................... Lee...................................................... Little River ........................................ Logan ................................................. Marion................................................ Mississippi.......................................... Monroe .............................................. Montgomery2 .................................... Nevada ............................................... Ouachita............................................. Polk..................................................... Pope.................................................... Randolph ........................................... Scott.................................................... Searcy ................................................. Sevier.................................................. St. Francis........................................... Stone .................................................. Union ................................................. Van Buren.......................................... White .................................................. Woodruff............................................ Yell......................................................
7 12 31 42 4 1 27 6 18 12 50 30 35 0 35 11 15 26 8 101 12 25 0 5 26 16 2 18 41 43 2
1 2 0 12 1 0 2 1 2 2 6 2 1 0 1 1 3 5 3 13 0 7 0 0 2 1 0 6 3 8 0 3 1 2 1 9 3 4 0 3 2 0 1 1 14 0 3
0 0 1 0 0 0 0 0 0 0 1 3 1 0 0 0 0 1 0 6 2 0 0 1 0 0 0 1 0 5 0 0 1 5 2 0 0 0 0 2 12 0 6 0 3 0 1
6 10 29 28 3 1 25 4 16 10 42 25 33 0 33 10 12 20 5 80 10 18 0 4 24 10 2 11 38 30 2
16 29 31 42 7 6 1 14 40 3 25 21 62 0 52
0 0 1 2 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 2 0 0 0 0 0 5 0 0 0 0 0 0 2 1 0 0 0 0 0 0 1 0 0 0 0 0 0
12 21 28 33 4 2 1 9 25 3 18 20 45 0 48
90 149 613 301 18 23 225 80 171 90 376 199 214 23 133 77 203 139 107 1,258 100 164 120 60 164 14 33 258 169 400 58 157 32 215 154 378 12 67 15 144 401 31 421 124 789 14 116
32 53 112 98 10 15 53 7 87 31 175 60 41 5 44 38 90 52 51 431 52 55 27 55 85 10 7 91 44 99 16 38 13 87 66 140 5 33 11 58 129 13 68 26 285 1 71
47 86 464 171 4 5 155 58 72 56 170 132 164 18 75 38 106 74 56 745 39 93 89 2 79 4 23 145 122 254 26 104 17 106 77 209 7 32 3 81 271 16 313 80 420 10 27
11 10 37 32 4 3 17 15 12 3 31 7 9 0 14 1 7 13 0 82 9 16 4 3 0 0 3 22 3 47 16 15 2 22 11 29 0 2 1 5 1 2 40 18 84 3 18
1 0 6 4 0 0 6 0 1 0 2 0 0 0 1 0 4 1 0 13 4 2 0 0 1 0 1 5 3 4 1 0 0 2 1 3 1 1 0 1 2 1 3 0 4 0 6
Alameda ............................................ Butte................................................... Contra Costa ..................................... El Dorado .......................................... Imperial.............................................. Kern.................................................... Fresno.................................................
683 217 666 236 106 1,918 618
6 5 11 3 0 28 17
27 21 42 20 10 92 33
293 34 218 24 11 400 149
357 157 395 189 85 1,398 419
2,864 1,502 3,503 2,034 945 11,001 6,497
676 565 1,147 652 301 3,118 1,705
1,275 920 2,336 1,350 616 6,352 3,812
913 17 20 32 28 1,531 980
33 50 35 20 6 286
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting an offense. Consequently, this figure is not included in this table.
224
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
CALIFORNIANonmetropolitan Counties
COLORADOMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Kings .................................................. Los Angeles ....................................... Madera ............................................... Marin.................................................. Merced ............................................... Monterey ........................................... Napa ................................................... Orange ............................................... Placer.................................................. Riverside............................................ Sacramento........................................ San Benito ......................................... San Bernardino ................................. San Diego .......................................... San Joaquin ....................................... San Luis Obispo................................ San Mateo.......................................... Santa Barbara ................................... Santa Clara ........................................ Santa Cruz ......................................... Shasta ................................................. Solano ................................................ Sonoma .............................................. Stanislaus ........................................... Sutter.................................................. Tulare3 ................................................ Ventura .............................................. Yolo .................................................... Yuba ...................................................
113 7,784 310 130 451 219 79 178 255 2,243 3,231 57 1,286 1,699 1,081 239 238 193 321 256 349 186 524 779 124 488 184 30 222
4 127 1 1 8 7 0 1 2 32 40 1 24 13 12 0 3 2 3 4 10 2 2 12 0 10 1 3 0
6 218 13 3 26 20 10 9 26 112 172 6 69 99 30 29 9 35 31 21 31 8 44 36 6 36 13 1 17
22 2,185 18 26 40 64 4 33 28 461 1,251 0 194 296 234 16 37 23 36 33 23 27 37 120 8 97 24 7 37
81 5,254 278 100 377 128 65 135 199 1,638 1,768 50 999 1,291 805 194 189 133 251 198 285 149 441 611 110 345 146 19 168
460 20,516 1,282 822 2,240 1,952 562 1,481 1,997 14,935 14,912 327 6,569 7,564 5,269 1,356 1,598 1,602 1,757 2,396 968 518 1,726 3,826 938
Alpine ................................................ Amador.............................................. Calaveras ........................................... Colusa ................................................ Del Norte........................................... Glenn.................................................. Humboldt........................................... Inyo .................................................... Lake.................................................... Lassen ................................................ Mariposa ............................................ Mendocino......................................... Modoc ................................................ Mono .................................................. Nevada ............................................... Plumas4 .............................................. Sierra .................................................. Siskiyou.............................................. Tehama............................................... Trinity ................................................. Tuolumne ...........................................
15 104 48 34 57 9 136 104 147 36 31 319 19 14 132
1 17 18 2 21 0 17 2 9 7 6 15 2 4 7 14 0 6 5 0 13
0 8 9 0 3 1 17 0 13 2 1 34 0 0 7 6 0 0 4 5 12
13 79 21 32 33 6 101 102 122 27 24 266 17 10 117
15 50 192 21 108
1 0 0 0 0 2 1 0 3 0 0 4 0 0 1 1 0 0 0 2 1
Adams ................................................ Arapahoe ........................................... Boulder .............................................. Clear Creek ....................................... Douglas .............................................. Elbert ................................................. El Paso ............................................... Gilpin ................................................. Jefferson............................................. Larimer .............................................. Mesa ................................................... Park .................................................... Pueblo ................................................ Teller .................................................. Weld ...................................................
404 225 45 28 175 7 856 18 256 96 152 32 14 17 143
1 0 0 0 2 0 1 0 2 2 2 1 1 1 0
75 22 8 4 43 0 66 0 41 17 13 4 3 1 13
48 27 0 0 20 0 32 0 17 7 17 0 1 0 4
Larcenytheft
Motor vehicle theft
Arson1
262 9,516 764 586 1,406 1,317 362 1,023 1,329 8,226 9,928 179 2,990 3,625 3,334 897 1,122 1,108 1,078 1,674 547 244 997 1,634 521 2,038 891 223 606
12 5,707 13 3 14 36 6 162 34 2,880 289 13 1,401 1,884 184 10 262 8 249 12 52 13 24 454 60
17 14 6 25 19 61 111 9 114 58 26 7 4 6 5 29 20 23 22 253 12
1,303 389 1,138
186 5,293 505 233 820 599 194 296 634 3,829 4,695 135 2,178 2,055 1,751 449 214 486 430 710 369 261 705 1,738 357 783 317 145 513
95 21 19
19 10 20
15 160 254 82 104 56 246 5 334 50 101 318 43 40 224 164 28 86 234 69 423
59 290 374 219 120 73 626 126 411 67 205 393 61 51 370 235 37 128 182 42 449
0 7 5 9 1 4 22 1 9 0 0 5 0 2 3 6 4 3 0 1 3
0 0 3 0 3 1 4 2 18 3 0 13 1 0 1
15 44 183 14 82
74 457 633 310 225 133 894 132 754 117 306 716 104 93 597 405 69 217 416 112 875
280 176 37 24 110 7 757 18 196 70 120 27 9 15 126
3,036 1,548 583 88 2,089 44 2,104 40 3,049 986 1,365 108 1,362 77 924
641 405 171 27 474 12 544 8 615 209 347 46 295 22 329
1,793 961 362 55 1,542 27 1,303 31 2,209 663 879 48 1,015 49 482
602 182 50 6 73 5 257 1 225 114 139 14 52 6 113
27 26 13 4 6 0 28 0 29 6 15 2 3 1 8
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. motor vehicle thefts for this county are collected by the Tulare County Highway Patrol. These data can be found in Table 11. 4 The FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table. 3 The
Burglary
455 2
0 9 20 0 7
SECTION II: OFFENSES REPORTED 225 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
COLORADONonmetropolitan Counties
DELAWAREMetropolitan Counties FLORIDAMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Larcenytheft
Motor vehicle theft
Arson1
Alamosa ............................................. Archuleta ........................................... Baca.................................................... Bent .................................................... Chaffee............................................... Crowley.............................................. Custer ................................................. Delta................................................... Dolores .............................................. Eagle................................................... Fremont.............................................. Garfield.............................................. Grand ................................................. Gunnison ........................................... Hinsdale ............................................. Huerfano............................................ Jackson ............................................... Kiowa ................................................. Lake.................................................... La Plata .............................................. Las Animas ........................................ Logan ................................................. Mineral............................................... Moffat................................................. Montezuma........................................ Montrose............................................ Morgan............................................... Ouray ................................................. Phillips................................................ Pitkin .................................................. Prowers .............................................. Routt .................................................. Saguache ............................................ San Juan ............................................. San Miguel......................................... Sedgwick ............................................ Summit ............................................... Washington ........................................ Yuma ..................................................
9 14 2 1 9 5 7 7 0 68 29 73 10 13 0 5 2 1 10 28 4 3 0 12 35 24 0 8 0 17 5 12 8 0 6 2 38 2 7
0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3 1 0 0 1 0 0 4 0 7 1 6 0 0 0 0 0 0 1 9 0 1 0 0 0 2 0 0 0 5 2 0 0 0 0 0 6 0 0
0 0 0 0 0 0 0 0 0 5 0 1 0 0 0 1 0 0 2 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0
6 13 2 1 8 5 7 3 0 56 27 66 10 13 0 4 2 1 7 19 4 2 0 12 32 20 0 8 0 12 3 12 8 0 6 2 31 2 7
38 105 1 30 90 0 38 126 16 502 239 289 156 37 8 129 18 2 17 270 2 50 1 27 161 176 53 29 3 125 29 34 14 26 50 8 303 39 35
6 36 0 10 11 0 7 24 4 98 64 76 30 14 0 7 2 1 6 107 0 17 0 9 61 61 9 7 1 23 5 6 7 2 13 2 41 7 14
32 65 1 16 69 0 30 81 12 400 163 175 125 20 8 107 14 1 6 139 2 30 0 17 87 100 39 21 2 95 21 22 5 23 33 6 258 23 16
0 4 0 4 10 0 1 21 0 4 12 38 1 3 0 15 2 0 5 24 0 3 1 1 13 15 5 1 0 7 3 6 2 1 4 0 4 9 5
1 1 0 1 1 0 0 0 0 9 2 8 0 0 0 0 0 0 1 0 0 1 0 2 1 0 0 0 0 0 0 1 1 0 0 0 2 0 0
New Castle County Police ...............
1,519
9
77
364
1,069
7,084
1,782
4,569
733
9
Alachua.............................................. Baker.................................................. Bay...................................................... Brevard .............................................. Broward ............................................. Charlotte............................................ Clay..................................................... Collier ................................................ Escambia............................................ Flagler ................................................ Gadsden ............................................. Gilchrist5 ............................................ Hernando........................................... Hillsborough...................................... Indian River ...................................... Jefferson............................................. Lake.................................................... Lee...................................................... Leon ................................................... Manatee ............................................. Marion................................................ Martin................................................. Miami-Dade ...................................... Nassau4 ...............................................
1,041 100 392 1,209 438 585 819 1,297 2,032 214 289 27 653 4,799 304 112 776 2,004 380 2,160 1,493 476 8,614
1 3 0 14 7 10 5 15 17 3 1 0 1 35 2 1 2 25 0 15 8 2 84 1
52 5 41 79 29 28 48 58 120 15 12 0 73 232 26 6 56 111 32 81 109 11 353 9
156 4 35 163 128 69 100 233 518 43 34 0 70 1,302 68 6 49 555 69 458 92 135 2,679 23
832 88 316 953 274 478 666 991 1,377 153 242 27 509 3,230 208 99 669 1,313 279 1,606 1,284 328 5,498
3,812 326 2,349 5,907 1,146 4,372 4,161 5,063 9,730 2,186 773
1,262 28 572 1,353 222 975 920 1,337 2,391 564 478 67 1,587 6,742 617 68 1,185 4,414 733 2,467 1,608 673 9,737 407
2,283 277 1,608 4,172 826 3,151 2,953 3,361 6,493 1,474 223
267 21 169 382 98 246 288 365 846 148 72 17 320 3,207 176 3 358 1,287 158 822 370 171 6,880 128
23 0 6 32 8 5 23 49 43 8 0 1 20 107 6 1 39 99 42 41 9 11 89 8
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table. 5 The FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table. 4 The
Burglary
5,080 29,766 2,547 134 3,529 13,303 1,666 10,940 5,130 3,192 52,483 1,254
3,173 19,817 1,754 63 1,986 7,602 775 7,651 3,152 2,348 35,866 719
226
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
FLORIDANonmetropolitan Counties
GEORGIAMetropolitan Counties
1 The 5 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Okaloosa............................................ Orange ............................................... Osceola............................................... Palm Beach........................................ Pasco................................................... Pinellas ............................................... Polk..................................................... Santa Rosa......................................... Sarasota.............................................. Seminole ............................................ St. Johns ............................................. St. Lucie ............................................. Volusia................................................ Wakulla ..............................................
465 7,051 849 2,997 1,582 1,305 1,676 309 772 627 537 326 943 99
1 58 11 32 14 10 16 4 12 8 3 6 5 1
32 354 12 181 115 135 103 49 58 55 15 24 75 8
94 2,463 187 938 295 228 301 23 160 91 63 45 171 6
338 4,176 639 1,846 1,158 932 1,256 233 542 473 456 251 692 84
3,798 32,116 6,669 18,858 13,075 7,607 10,384 1,579 8,485 3,648 3,906 1,853 5,632 651
863 8,783 2,806 5,016 3,738 1,981 3,461 476 1,908 978 1,164 570 1,802 229
2,706 18,872 3,402 11,692 8,312 5,007 6,038 1,008 6,076 2,299 2,491 1,148 3,225 372
229 4,461 461 2,150 1,025 619 885 95 501 371 251 135 605 50
5 0 5 121 55 9 0 8 8 9 10 9 20 6
Bradford ............................................ Calhoun.............................................. Citrus.................................................. Columbia ........................................... DeSoto ............................................... Dixie ................................................... Franklin.............................................. Glades ................................................ Gulf..................................................... Hamilton............................................ Hardee ............................................... Hendry ............................................... Highlands........................................... Holmes ............................................... Jackson ............................................... Lafayette............................................ Levy.................................................... Madison ............................................. Monroe .............................................. Okeechobee ...................................... Putnam ............................................... Sumter................................................ Suwannee........................................... Taylor ................................................. Union ................................................. Walton ................................................ Washington ........................................
88 16 366 236 189 73 12 48 93 44 72 263 173 55 220 18 154 133 253 218 562 137 170 107 66 89 22
0 1 4 2 3 2 0 0 0 0 2 5 5 2 6 0 0 0 3 1 7 3 3 0 0 0 0
8 2 24 9 4 10 0 1 4 4 6 10 14 7 14 1 13 6 8 19 30 17 4 5 4 4 1
5 0 29 23 15 1 1 7 3 5 12 42 37 3 11 0 6 3 18 9 53 23 7 0 4 5 0
75 13 309 202 167 60 11 40 86 35 52 206 117 43 189 17 135 124 224 189 472 94 156 102 58 80 21
362 79 2,420 1,702 809 392 106 324 233 226 629 1,111 1,921 197 638 61 817 367 1,964 744 2,588 799 587 215 163 997 221
178 35 638 576 404 144 41 115 78 98 172 466 769 54 218 29 251 137 406 329 1,166 279 176 101 73 179 75
150 37 1,634 1,018 357 220 56 179 142 117 402 521 1,006 125 372 29 494 207 1,435 368 1,208 469 321 108 72 756 119
34 7 148 108 48 28 9 30 13 11 55 124 146 18 48 3 72 23 123 47 214 51 90 6 18 62 27
0 0 25 0 7 4 1 5 2 0 0 4 9 0 1 1 2 3 6 3 3 4 0 3 1 1 1
Augusta-Richmond........................... Barrow ............................................... Bartow................................................ Bibb .................................................... Brantley ............................................. Brooks................................................ Bryan.................................................. Catoosa .............................................. Cherokee ........................................... Clarke................................................. Clayton County Police Department ....................................... Cobb ................................................... Cobb County Police Department ... Coweta ............................................... Crawford............................................ Dade ................................................... Dawson .............................................. DeKalb County Police Department ....................................... Dougherty.......................................... Dougherty County Police Department ....................................... Douglas .............................................. Echols................................................. Effingham5 .........................................
1,007 219 248 149 28 84 11 80 87 0
24 3 0 7 1 1 0 2 0 0
128 6 17 11 2 0 2 9 1 0
670 3 27 49 1 5 3 9 8 0
185 207 204 82 24 78 6 60 78 0
13,618 879 3,028 2,042 308 376 244 1,128 1,514 0
2,878 134 815 471 116 134 53 225 416 0
8,956 638 1,880 1,359 155 200 167 749 1,007 0
1,784 107 333 212 37 42 24 154 91 0
132
1,366 6 1,402 78 21 19 19
35 0 24 0 0 0 0
77 0 97 7 0 2 1
605 0 624 22 3 1 2
649 6 657 49 18 16 16
8,736 0 12,466 1,183 305 191 469
3,241 0 3,118 311 103 54 96
3,897 0 7,744 734 169 113 316
1,598 0 1,604 138 33 24 57
57 0 37 10
4,644 0
108 0
169 0
2,804 0
1,563 0
34,755 66
10,069 8
17,902 47
6,784 11
204 0
32 179 11 50
0 6 0 0
3 9 0 0
13 51 1 0
16 113 10 50
519 2,394 42
195 660 27 108
268 1,424 9
56 310 6 32
0 8
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table.
1 4
2 0
1
SECTION II: OFFENSES REPORTED 227 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Fayette................................................ Floyd .................................................. Floyd County Police Department... Forsyth ............................................... Fulton ................................................. Fulton County Police Department ....................................... Glynn County Police Department ....................................... Gwinnett County Police Department ....................................... Hall ..................................................... Harris ................................................. Heard ................................................. Henry ................................................. Henry County Police Department ....................................... Houston ............................................. Jasper.................................................. Jones ................................................... Lamar4................................................ Lanier ................................................. Lee...................................................... Liberty................................................ Long ................................................... Lowndes............................................. Madison ............................................. Marion................................................ McDuffie............................................ Meriwether ........................................ Monroe .............................................. Murray ............................................... Newton............................................... Oglethorpe......................................... Paulding ............................................. Pickens ............................................... Pike..................................................... Rockdale............................................ Spalding ............................................. Twiggs................................................. Walker ................................................ Walton4............................................... Whitfield ............................................ Worth ................................................. GEORGIANonmetropolitan Counties
1 The 4 The
Baldwin .............................................. Banks.................................................. Berrien ............................................... Bleckley ............................................. Bulloch ............................................... Calhoun.............................................. Camden.............................................. Candler .............................................. Charlton ............................................. Clay..................................................... Clinch ................................................. Coffee................................................. Cook ................................................... Crisp ................................................... Decatur .............................................. Dodge................................................. Dooly.................................................. Early ................................................... Emanuel............................................. Fannin................................................. Franklin.............................................. Gordon............................................... Grady ................................................. Greene ...............................................
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
33 11 143 121 9
2 0 2 0 0
4 0 6 16 0
10 1 6 28 0
17 10 129 77 9
570 2 1,360 2,043 17
148 1 296 451 0
362 1 958 1,502 16
60 0 106 90 1
2
909
20
49
387
453
7,307
2,579
3,572
1,156
17
265
10
10
53
192
2,525
501
1,880
144
1,945 225 2 17 0
36 2 0 0 0
73 19 0 0 0
1,111 44 0 0 0
725 160 2 17 0
18,730 2,702 313 183 0
5,501 683 67 54 0
10,848 1,623 213 104 0
2,381 396 33 25 0
123 11 0
323 138 10 23
11 9 2 0 4 1 2 6 4 15 5 2 2 1 6 8 5 0 16 6 0 8 14 1 3 5 11 0
134 10 1 4 2 0 3 12 0 21 4 1 5 6 3 3 31 3 25 1 0 53 24 2 8 3 10 0
176 119 7 18
239 4
3,022 981 186 487 279 78 489 557 162 1,080 530 34 307 426 344 792 1,581 355 2,341 357 260 2,064 1,681 169 1,184 785 1,835 147
881 241 64 143 80 22 130 144 63 280 74 1 71 114 94 182 606 110 611 66 72 536 437 33 332 271 456 56
1,777 666 110 289 179 48 336 391 89 757 413 27 195 252 212 528 765 215 1,469 248 168 1,290 1,112 128 790 445 1,251 74
364 74 12 55 20 8 23 22 10 43 43 6 41 60 38 82 210 30 261 43 20 238 132 8 62 69 128 17
1
260 5
2 0 0 1 0 0 0 1 0 0 2 0 0 0 0 0 7 1 2 0 0 1 4 0 0 0 0 1
147 100 19 13 45 8 26 0 6 6 11 76 20 9 34 9 14 57 17 9 22 43 23 18
1 1 1 0 0 0 0 0 1 0 0 2 1 0 0 0 0 1 0 0 2 0 2 0
8 2 2 2 1 2 0 0 0 0 1 10 0 0 6 1 0 2 2 1 1 4 1 2
8 3 1 0 14 0 4 0 0 0 3 6 3 0 9 1 2 11 7 1 3 2 6 3
130 94 15 11 30 6 22 0 5 6 7 58 16 9 19 7 12 43 8 7 16 37 14 13
951 770 232 99 778 35 409 89 118 2 77 812 100 417 346 50 65 203 366 151 259 557 166 185
262 103 80 18 244 12 127 32 26 0 21 260 22 81 102 15 11 60 179 73 106 137 82 51
650 610 140 64 473 17 248 56 78 2 51 527 75 304 222 34 49 135 151 76 127 392 70 125
39 57 12 17 61 6 34 1 14 0 5 25 3 32 22 1 5 8 36 2 26 28 14 9
46 22 51 18 114 76 8 17 31 24 56 336 51 191 72 3 293 154 31 247
45 17 32 14 78 65 5 10 24 15 45 293 47 148 65 3 231 112 28 236
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table.
9
0
0 1
3
0 0 2
31 0 14 0 11
0 0
0 0 1 4 0
0
228
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
IDAHOMetropolitan Counties
IDAHONonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Habersham ........................................ Hancock ............................................. Hancock County Police Department ....................................... Hart .................................................... Irwin ................................................... Jackson ............................................... Jeff Davis ........................................... Johnson .............................................. Laurens .............................................. Lincoln ............................................... Lumpkin ............................................ Macon................................................. Mitchell .............................................. Peach .................................................. Polk..................................................... Polk County Police Department ..... Putnam ............................................... Rabun................................................. Seminole ............................................ Stephens............................................. Stewart ............................................... Tattnall ............................................... Taylor ................................................. Thomas............................................... Tift ...................................................... Towns ................................................. Treutlen.............................................. Troup .................................................. Upson ................................................. Ware ................................................... Washington ........................................ Wheeler.............................................. White .................................................. Wilcox ................................................ Wilkes................................................. Wilkinson...........................................
37 13
1 0
4 0
1 1
31 12
381 141
100 42
260 70
21 29
0
0 55 3 52 24 29 49 9 36 2 55 26 0 102 57 17 14 45 3 9 0 57 99 16 22 66 72 59 39 6 16 7 4 7
0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2 7 1 0 0 0 2 0 0 0 0 0 0
0 1 1 4 1 0 2 0 4 0 2 1 0 3 1 7 1 3 0 0 0 0 4 0 0 2 3 4 0 1 2 4 0 0
0 5 0 2 1 1 6 2 0 1 3 7 0 10 6 0 0 2 1 3 0 2 15 1 3 10 2 9 4 1 0 1 0 0
0 48 2 46 22 28 41 7 32 1 50 18 0 86 50 10 13 40 2 6 0 53 73 14 19 54 67 44 35 4 14 2 4 7
0 316 115 872 374 67 668 97 411 69 163 309 0 890 315 234 62 413 22 197 56 239 945 191 129 1,174 408 784 315 67 243 39 15 51
0 95 27 217 68 32 195 33 103 24 32 85 0 317 108 61 28 85 4 73 33 43 223 92 41 153 142 173 99 32 77 18 6 21
0 196 65 607 276 29 409 52 260 39 125 180 0 457 192 159 29 286 11 109 12 195 633 89 83 954 234 540 205 26 130 19 7 29
0 25 23 48 30 6 64 12 48 6 6 44 0 116 15 14 5 42 7 15 11 1 89 10 5 67 32 71 11 9 36 2 2 1
0
Ada ..................................................... Bannock ............................................. Boise................................................... Bonneville.......................................... Canyon ............................................... Franklin.............................................. Gem.................................................... Jefferson............................................. Kootenai ............................................ Nez Perce........................................... Owyhee .............................................. Power..................................................
166 18 14 98 77 14 13 15 124 1 17 0
4 0 0 1 1 0 0 0 0 0 0 0
21 0 3 10 8 2 3 9 23 0 7 0
5 0 1 1 3 0 0 0 5 0 2 0
136 18 10 86 65 12 10 6 96 1 8 0
1,252 169 129 953 805 34 22 202 911 85 140 38
289 26 35 230 234 9 5 64 277 29 17 7
894 137 85 644 472 24 16 129 563 52 112 28
69 6 9 79 99 1 1 9 71 4 11 3
33 0 4 10 6 0 0 0 11 0 3 0
Adams ................................................ Bear Lake .......................................... Benewah ............................................ Bingham............................................. Blaine ................................................. Bonner ............................................... Boundary ........................................... Butte................................................... Camas................................................. Caribou .............................................. Cassia ................................................. Clark................................................... Clearwater ......................................... Custer ................................................. Elmore ............................................... Fremont.............................................. Gooding ............................................. Idaho .................................................. Jerome................................................
5 3 4 22 26 44 6 4 0 2 40 1 24 3 11 7 18 26 7
1 0 0 0 3 1 0 0 0 0 0 0 0 0 2 0 1 0 0
0 2 1 7 4 4 1 0 0 1 5 0 4 1 1 0 2 1 1
0 0 0 0 0 1 1 0 0 0 4 0 0 0 0 0 0 1 1
4 1 3 15 19 38 4 4 0 1 31 1 20 2 8 7 15 24 5
45 36 20 303 59 420 60 13 11 28 525 14 99 4 136 56 54 88 92
7 12 8 74 28 93 21 2 2 9 83 2 14 3 30 13 15 26 20
35 23 7 208 29 288 35 7 9 18 402 12 84 1 93 39 27 58 61
3 1 5 21 2 39 4 4 0 1 40 0 1 0 13 4 12 4 11
0 1 0 0 2 3 0 0 1 0 6 0 1 0 2 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
2 1 0 1
0 0
1 0 0 0 0 2
0 0 0
3 0
SECTION II: OFFENSES REPORTED 229 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
INDIANAMetropolitan Counties
INDIANANonmetropolitan Counties
IOWAMetropolitan Counties
1 The 6
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Latah .................................................. Lemhi ................................................. Lewis .................................................. Lincoln ............................................... Madison ............................................. Minidoka............................................ Oneida................................................ Payette ............................................... Shoshone............................................ Teton .................................................. Twin Falls ........................................... Valley.................................................. Washington ........................................
24 2 6 3 16 20 4 8 23 1 43 16 9
1 0 0 0 0 0 0 0 3 0 0 0 0
5 0 2 1 7 3 1 0 4 0 7 8 1
0 0 1 0 0 2 1 0 2 0 2 0 0
18 2 3 2 9 15 2 8 14 1 34 8 8
165 9 33 4 86 184 39 70 114 22 240 133 23
79 1 10 1 16 58 6 23 28 8 88 17 12
80 7 19 2 69 117 31 37 77 12 137 100 10
6 1 4 1 1 9 2 10 9 2 15 16 1
1 0 1 0 1 2 1 1 0 0 6 2 0
Allen................................................... Bartholomew..................................... Boone ................................................. Brown................................................. Carroll ................................................ Delaware............................................ Elkhart ............................................... Floyd .................................................. Gibson................................................ Greene ............................................... Hancock ............................................. Harrison ............................................. Howard .............................................. Johnson .............................................. Lake.................................................... La Porte ............................................. Madison ............................................. Monroe .............................................. Newton............................................... Porter.................................................. Putnam ............................................... Shelby................................................. St. Joseph ........................................... Tippecanoe ........................................ Tipton ................................................. Vanderburgh...................................... Warrick............................................... Wells ...................................................
43 21 23 3 34 28 59 4 2 19 15 15 46 6 18 19 11 63 6 47 37 6 119 28 11 83 114 2
1 0 1 0 1 0 1 0 0 0 0 0 0 0 1 3 0 3 0 1 0 0 1 0 0 1 1 0
9 3 0 0 4 8 12 0 0 1 4 1 1 1 1 4 4 5 0 3 4 1 18 7 1 6 8 1
18 5 3 2 1 4 31 0 0 3 4 7 5 5 8 1 3 8 0 6 6 2 27 3 1 7 1 0
15 13 19 1 28 16 15 4 2 15 7 7 40 0 8 11 4 47 6 37 27 3 73 18 9 69 104 1
1,140 272 260 79 195 589 1,865 844 166 168 276 636 544 821 1,124 754 431 721 179 1,041 431 445 1,774 819 73 1,153 647 102
237 17 83 26 81 124 634 184 22 50 106 171 178 136 167 240 135 251 71 208 122 123 383 238 29 133 104 31
802 238 159 53 97 420 1,001 623 140 103 152 426 351 667 834 471 270 413 93 740 253 287 1,304 527 40 977 516 57
101 17 18 0 17 45 230 37 4 15 18 39 15 18 123 43 26 57 15 93 56 35 87 54 4 43 27 14
3 1 2 0 2 2 20 0 4 0 1 0 3 0 0 2 3 4 0 0 0 5 7 10 1 9 12 0
Blackford ........................................... Daviess ............................................... Fayette................................................ Grant .................................................. Henry ................................................. Huntington ........................................ Jackson ............................................... Kosciusko........................................... LaGrange........................................... Lawrence ........................................... Martin................................................. Noble6 ................................................ Parke .................................................. Pulaski................................................ Randolph ........................................... Ripley ................................................. Starke ................................................. Steuben .............................................. Wabash............................................... Wayne................................................. White ..................................................
1 11 6 14 9 7 11 27 6 6 3 7 9 1 0 0 13 13 1 0 0
1 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0
0 0 1 5 4 4 0 6 3 2 1 2 2 0 0 0 1 5 0 0 0
0 0 0 6 2 0 0 4 1 0 0 1 7 0 0 0 2 1 1 0 0
0 11 5 3 2 3 10 16 2 3 2 4 0 1 0 0 10 7 0 0 0
51 90 275 380 706 113 293 759 251 347 36 149 233 165 168 190 414 601 130 142 28
8 23 85 82 249 26 60 167 67 98 9 66 58 17 64 44 125 142 15 48 27
36 57 181 263 410 79 221 563 173 213 22 64 158 144 102 133 238 423 113 85 0
7 10 9 35 47 8 12 29 11 36 5 19 17 4 2 13 51 36 2 9 1
0 0 1 0 0 1 3 4 0 2 0 3 2 1 0 0 3 3 0 0 0
Benton................................................ Black Hawk ....................................... Bremer ............................................... Dallas ................................................. Dubuque ............................................ Grundy ...............................................
7 43 17 0 57 5
0 0 0 0 0 0
1 10 1 0 1 0
1 0 0 0 0 0
5 33 16 0 56 5
102 238 42 102 241 71
28 104 8 36 95 20
70 122 32 63 120 48
4 12 2 3 26 3
0 0 1 1 4 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. Because of changes in the state/local agency's reporting practices, figures are not comparable to previous years' data.
230
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
IOWANonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Guthrie............................................... Harrison ............................................. Johnson .............................................. Jones ................................................... Linn .................................................... Madison ............................................. Mills.................................................... Polk..................................................... Pottawattamie ................................... Scott.................................................... Story ................................................... Warren ............................................... Washington ........................................ Woodbury ..........................................
0 4 69 3 30 7 11 117 31 19 17 37 17 23
0 0 0 0 0 0 0 2 0 1 0 1 0 0
0 1 1 0 6 2 1 17 8 6 5 5 3 0
0 0 0 0 2 2 1 12 1 1 1 5 0 1
0 3 68 3 22 3 9 86 22 11 11 26 14 22
41 158 236 55 368 49 138 929 580 234 156 281 140 71
20 55 107 10 139 13 44 191 158 73 61 72 92 27
20 95 103 39 201 30 80 623 366 149 80 180 44 41
1 8 26 6 28 6 14 115 56 12 15 29 4 3
0 4 4 0 2 0 3 5 2 1 3 5 0 0
Adair .................................................. Adams ................................................ Allamakee ......................................... Appanoose ........................................ Audubon ............................................ Boone ................................................. Buchanan ........................................... Buena Vista ....................................... Butler ................................................. Calhoun.............................................. Cass..................................................... Cerro Gordo...................................... Cherokee ........................................... Chickasaw.......................................... Clarke................................................. Clay..................................................... Clayton............................................... Clinton ............................................... Crawford............................................ Davis................................................... Des Moines........................................ Fayette................................................ Floyd .................................................. Franklin.............................................. Hamilton............................................ Hancock ............................................. Hardin ................................................ Henry ................................................. Howard .............................................. Humboldt........................................... Ida....................................................... Iowa.................................................... Jasper.................................................. Jefferson............................................. Lee...................................................... Louisa................................................. Lucas .................................................. Lyon.................................................... Mahaska............................................. Marion................................................ Marshall ............................................. Mitchell .............................................. Monona.............................................. Monroe .............................................. Muscatine........................................... O’Brien .............................................. Osceola............................................... Palo Alto ............................................ Plymouth............................................ Pocahontas......................................... Poweshiek .......................................... Sac....................................................... Sioux................................................... Tama................................................... Union ................................................. Van Buren.......................................... Wapello ..............................................
5 4 0 6 4 17 2 6 1 4 6 7 5 1 2 6 9 25 0 5 18 15 1 0 8 4 2 11 1 3 8 7 9 11 13 6 5 15 23 16 11 0 0 3 28 9 1 8 8 2 10 1 5 32 7 8 6
0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 1 2 0 2 0 1 3 0 0 1 0 1 0 3 0 1 2 1 0 0 0 1 1 0 1 0 0 1 1 0 1 2 0 2 2 4 0 0 0 0 8 0 0 0 1 1 3 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 2 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 4 0 6 3 14 2 4 1 3 3 7 5 0 2 5 9 21 0 4 15 13 1 0 7 3 1 11 0 1 7 6 8 9 12 4 5 13 21 12 11 0 0 3 20 9 1 8 7 1 7 1 5 32 7 8 6
52 59 13 80 24 52 129 69 40 96 48 129 30 38 67 53 54 133 0 8 147 59 42 8 85 48 102 96 70 44 57 67 111 53 73 77 79 78 94 110 68 19 2 34 143 99 15 79 42 27 189 40 84 154 43 112 134
7 29 1 22 10 15 25 24 19 26 13 50 7 13 25 22 23 35 0 5 35 17 25 1 47 31 45 25 12 21 25 16 38 7 35 39 21 45 25 45 43 7 0 6 71 33 3 36 15 9 67 16 27 59 21 58 66
41 28 12 50 11 31 95 41 18 67 32 66 21 22 33 29 28 86 0 3 98 34 15 7 38 16 50 62 54 20 29 48 63 41 33 30 50 27 58 53 19 12 0 25 65 62 11 37 23 17 102 21 53 83 17 49 62
4 2 0 8 3 6 9 4 3 3 3 13 2 3 9 2 3 12 0 0 14 8 2 0 0 1 7 9 4 3 3 3 10 5 5 8 8 6 11 12 6 0 2 3 7 4 1 6 4 1 20 3 4 12 5 5 6
0 0 1 2 0 3 3 1 1 0 0 0 1 1 2 0 0 2 0 1 1 0 0 0 1 1 1 0 1 0 0 2 1 1 2 0 2 0 0 2 3 0 0 0 4 0 0 0 0 1 3 0 0 4 0 2 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 231 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
KANSASMetropolitan Counties
KANSASNonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Wayne................................................. Webster .............................................. Winneshiek ........................................ Worth ................................................. Wright ................................................
9 30 1 3 1
0 0 0 0 0
1 1 0 0 0
0 0 0 0 0
8 29 1 3 1
59 266 19 86 44
16 65 5 16 27
35 168 12 66 17
8 33 2 4 0
0 4 0 0 1
Butler ................................................. Doniphan ........................................... Douglas .............................................. Franklin.............................................. Harvey................................................ Jackson ............................................... Jefferson............................................. Johnson .............................................. Leavenworth ..................................... Linn .................................................... Miami ................................................. Osage.................................................. Shawnee ............................................. Sumner ............................................... Wabaunsee.........................................
61 5 30 37 8 27 19 136 57 15 24 19 102 15 8
1 0 2 0 0 0 0 0 0 0 0 0 0 0 0
11 1 4 7 2 4 2 17 4 2 3 0 11 0 0
1 0 0 0 0 0 0 2 2 0 1 4 7 1 1
48 4 24 30 6 23 17 117 51 13 20 15 84 14 7
479 70 309 204 90 164 364 240 260 102 220 86 1,535 97 84
144 21 43 90 35 40 121 52 101 39 96 33 292 33 31
302 47 246 98 53 112 219 188 140 55 107 47 1,167 56 49
33 2 20 16 2 12 24 0 19 8 17 6 76 8 4
4 0 3 2 0 5 6 10 20 2 14 2 14 0 3
Allen................................................... Anderson ........................................... Barber ................................................ Barton ................................................ Bourbon ............................................. Brown................................................. Chautauqua ....................................... Cherokee ........................................... Cheyenne ........................................... Clark................................................... Clay..................................................... Coffey................................................. Cowley ............................................... Crawford............................................ Dickinson........................................... Elk ...................................................... Ellis..................................................... Ellsworth............................................ Finney................................................. Ford .................................................... Geary.................................................. Grant .................................................. Gray.................................................... Greenwood........................................ Harper................................................ Haskell ............................................... Hodgeman ......................................... Kearny................................................ Kingman ............................................ Kiowa ................................................. Labette ............................................... Lane.................................................... Lyon.................................................... Marion................................................ McPherson......................................... Morris................................................. Morton ............................................... Nemaha.............................................. Neosho ............................................... Norton................................................ Osborne ............................................. Ottawa................................................ Pawnee ............................................... Phillips................................................ Pottawatomie .................................... Pratt.................................................... Rawlins .............................................. Reno ................................................... Republic.............................................
13 9 3 22 11 13 9 20 1 2 15 10 48 31 8 4 13 8 44 17 4 3 0 16 2 6 3 16 6 8 9 3 13 3 4 8 5 11 18 1 3 5 18 5 43 4 0 18 1
0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
1 2 1 2 0 0 2 2 0 0 6 1 3 2 4 1 2 0 3 2 0 1 0 4 1 0 0 4 1 0 0 0 2 0 1 0 1 2 0 0 0 3 2 1 7 0 0 1 1
0 1 0 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 3 0 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0
12 6 2 18 11 13 7 16 1 2 9 8 44 28 3 3 11 8 37 15 4 2 0 11 1 6 3 11 5 7 9 3 10 3 3 8 4 9 18 1 3 2 15 4 33 4 0 17 0
63 68 24 90 74 82 43 166 18 28 86 55 222 305 124 55 93 47 281 56 34 13 12 193 20 48 40 89 63 25 101 15 116 32 81 54 29 53 78 6 24 62 32 6 264 49 16 191 46
24 21 6 35 27 36 17 56 9 18 46 27 105 119 38 22 33 10 89 25 8 5 2 57 4 9 20 19 18 6 44 3 28 16 29 17 3 21 28 3 7 18 9 2 60 16 5 76 14
30 41 11 49 37 40 22 95 9 10 34 23 98 166 81 31 56 30 174 25 24 8 10 129 13 35 19 66 42 13 52 10 77 15 45 34 26 24 43 3 15 40 21 4 185 31 5 103 28
9 6 7 6 10 6 4 15 0 0 6 5 19 20 5 2 4 7 18 6 2 0 0 7 3 4 1 4 3 6 5 2 11 1 7 3 0 8 7 0 2 4 2 0 19 2 6 12 4
3 2 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
3 1 1 9 0 0 7 1 1 14 4 0 6 1 7 0 1 0 1 5 0 1 0 3 2 0 5 0 3 1 1 6 0 0 0 0 0 1 1 0 3 0 0 0 1
232
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
KENTUCKYMetropolitan Counties
KENTUCKYNonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Rice..................................................... Riley County Police Department ... Rooks ................................................. Rush ................................................... Russell................................................ Saline.................................................. Seward................................................ Sherman ............................................. Stanton ............................................... Thomas............................................... Trego .................................................. Washington ........................................ Wichita ............................................... Wilson ................................................ Woodson ............................................
11 221 0 3 4 31 6 11 3 5 1 4 3 3 1
0 3 0 0 1 0 0 0 0 0 0 0 0 0 0
0 42 0 0 0 4 2 1 0 0 0 0 1 0 0
0 17 0 0 0 1 0 0 0 0 0 0 1 0 0
11 159 0 3 3 26 4 10 3 5 1 4 1 3 1
57 1,661 8 43 23 146 69 20 23 41 15 9 40 49 41
17 291 4 28 7 47 17 10 7 8 5 2 11 22 15
35 1,297 3 14 16 90 41 10 16 32 10 6 28 23 23
5 73 1 1 0 9 11 0 0 1 0 1 1 4 3
0 19 0 0 0 9 1 0 0 2 0 0 0 3 2
Boone ................................................. Bourbon ............................................. Boyd ................................................... Bracken.............................................. Bullitt ................................................. Campbell County Police Department ....................................... Christian............................................. Clark................................................... Daviess ............................................... Edmonson.......................................... Gallatin .............................................. Grant .................................................. Greenup ............................................. Hancock ............................................. Hardin ................................................ Jefferson............................................. Jessamine ........................................... Kenton ............................................... Larue .................................................. McLean .............................................. Meade................................................. Nelson ................................................ Oldham .............................................. Oldham County Police Department ....................................... Pendleton........................................... Scott.................................................... Shelby................................................. Spencer .............................................. Trigg.................................................... Trimble ............................................... Warren ...............................................
300 1 30 1 30
1 0 0 0 1
21 0 6 0 11
17 0 14 0 3
261 1 10 1 15
1,132 14 308 9 585
279 8 93 8 222
786 6 174 1 315
67 0 41 0 48
4 0 0 0 0
35 17 6 27 1 3 4 5 0 7 1 19 1 3 0 14 23 1
0 1 0 3 0 0 0 1 0 1 0 0 0 0 0 1 3 0
13 1 1 6 0 0 1 0 0 1 0 5 0 0 0 2 5 0
3 5 3 1 1 0 0 1 0 0 1 5 0 1 0 1 2 0
19 10 2 17 0 3 3 3 0 5 0 9 1 2 0 10 13 1
268 353 245 497 44 29 70 70 12 95 13 290 6 53 22 159 245 13
52 139 98 112 18 7 33 28 6 33 1 95 1 21 9 67 78 2
201 181 135 370 23 16 29 39 4 57 11 164 5 27 10 85 143 10
15 33 12 15 3 6 8 3 2 5 1 31 0 5 3 7 24 1
2 0 3 6 0 0 0 0 0 0 0 0 0 1 0 0 2 0
12 4 25 39 3 1 1 22
1 0 2 0 1 0 0 0
4 0 2 4 0 0 0 2
4 0 7 20 1 0 1 2
3 4 14 15 1 1 0 18
422 96 229 504 40 60 6 538
122 23 69 131 22 25 1 152
279 62 143 343 16 28 5 360
21 11 17 30 2 7 0 26
0 0 0 0 0 0 0 0
Allen................................................... Anderson ........................................... Ballard................................................ Barren ................................................ Bell ..................................................... Boyle .................................................. Breckinridge...................................... Butler ................................................. Caldwell ............................................. Calloway ............................................ Carter ................................................. Clay..................................................... Crittenden.......................................... Cumberland....................................... Estill ................................................... Fleming .............................................. Floyd .................................................. Franklin.............................................. Fulton ................................................. Garrard .............................................. Graves ................................................
2 3 8 9 3 9 1 0 2 14 2 1 1 0 0 0 4 13 4 4 7
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 3 1 0 1 0 0 0 2 0 0 0 0 0 0 0 3 0 0 2
0 1 0 0 2 1 1 0 0 2 0 0 1 0 0 0 1 2 0 0 0
2 1 5 8 1 7 0 0 2 10 2 1 0 0 0 0 3 8 4 4 5
33 97 50 148 96 59 22 38 62 396 178 131 43 9 22 70 152 162 60 85 167
9 28 21 59 35 23 8 17 29 133 78 35 11 5 7 32 32 52 16 16 72
20 65 28 79 59 32 9 17 20 232 88 75 32 2 8 30 102 96 42 64 79
4 4 1 10 2 4 5 4 13 31 12 21 0 2 7 8 18 14 2 5 16
0 0 1 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 233 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
LOUISIANAMetropolitan Counties
LOUISIANANonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Grayson.............................................. Harlan ................................................ Harrison ............................................. Hart .................................................... Hopkins.............................................. Jackson ............................................... Johnson .............................................. Knott .................................................. Knox ................................................... Laurel ................................................. Lawrence ........................................... Lee...................................................... Letcher ............................................... Lewis .................................................. Lincoln ............................................... Livingston .......................................... Logan ................................................. Lyon.................................................... Madison ............................................. Marion................................................ Martin................................................. Mason................................................. McCreary ........................................... Mercer................................................ Metcalfe ............................................. Monroe .............................................. Montgomery...................................... Muhlenberg ....................................... Ohio.................................................... Owen .................................................. Owsley................................................ Pike..................................................... Powell ................................................. Pulaski................................................ Rockcastle ......................................... Russell................................................ Simpson.............................................. Taylor ................................................. Todd.................................................... Union ................................................. Washington ........................................ Wayne................................................. Whitley............................................... Wolfe ..................................................
6 17 3 0 14 1 2 2 8 20 1 0 1 4 3 6 16 4 9 0 1 11 3 2 3 0 14 4 14 1 0 4 0 19 3 1 7 12 2 12 2 8 2 0
0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
2 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 2 0 4 0 0 2 0 0 0 0 0 0 3 0 0 3 0 3 0 0 0 1 0 0 0 3 0 0
0 2 2 0 1 1 0 0 0 5 1 0 0 0 0 1 1 1 0 0 0 1 1 0 0 0 5 1 3 0 0 1 0 3 1 0 2 2 0 2 0 1 1 0
4 15 1 0 12 0 2 2 7 10 0 0 1 4 3 5 13 3 5 0 1 8 2 2 3 0 8 3 8 1 0 0 0 11 2 1 5 9 2 10 2 4 1 0
145 92 179 31 198 32 49 67 291 822 26 2 67 80 73 106 155 44 284 105 87 149 101 70 52 4 460 17 135 74 25 28 15 649 37 35 123 197 32 52 47 79 113 20
77 28 98 23 74 15 4 7 112 271 8 0 35 52 34 35 61 20 106 47 42 77 33 28 17 0 133 7 61 36 8 5 7 213 13 10 46 89 14 14 27 44 37 3
57 64 67 7 104 17 36 55 139 457 17 1 29 23 34 64 82 22 160 52 29 57 56 39 26 3 294 8 62 26 15 22 6 393 18 18 63 101 15 34 16 29 58 15
11 0 14 1 20 0 9 5 40 94 1 1 3 5 5 7 12 2 18 6 16 15 12 3 9 1 33 2 12 12 2 1 2 43 6 7 14 7 3 4 4 6 18 2
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 7 0 0 0 2 0 0 0 0 1 0
Ascension .......................................... Bossier................................................ Caddo ................................................. Calcasieu............................................ Cameron ............................................ East Baton Rouge............................. Iberville.............................................. Jefferson............................................. Lafayette............................................ Lafourche .......................................... Livingston .......................................... Plaquemines ...................................... Pointe Coupee................................... Rapides .............................................. St. Bernard......................................... St. Charles.......................................... St. John the Baptist ........................... St. Martin ........................................... St. Tammany ...................................... Terrebonne ........................................ West Baton Rouge............................ West Feliciana ...................................
407 254 202 280 71 925 141 2,616 428 142 490 56 74 189 110 170 194 80 411 387 93 72
6 1 3 2 1 20 6 44 4 0 8 2 4 1 1 2 7 2 10 7 2 2
28 4 22 88 3 29 5 74 14 7 14 2 0 18 4 11 9 15 31 32 5 2
37 3 14 87 0 189 5 634 41 7 26 4 4 9 15 43 93 12 29 41 18 4
336 246 163 103 67 687 125 1,864 369 128 442 48 66 161 90 114 85 51 341 307 68 64
2,890 538 993 3,640 187 8,927 460 15,090 1,553 1,836 1,551 600 377 1,042 1,706 1,338 1,731 488 2,861 3,054 491 140
605 57 210 899 29 1,995 90 3,632 459 129 593 136 105 297 496 460 434 114 790 543 53 23
2,018 439 668 2,480 145 6,425 350 9,596 898 1,631 800 409 252 596 1,018 774 1,109 369 1,762 2,274 398 106
267 42 115 261 13 507 20 1,862 196 76 158 55 20 149 192 104 188 5 309 237 40 11
7 2 5 10 1 50 2 177 22 0 0 4 2 1 1 20 1
Acadia ................................................ Assumption ....................................... Avoyelles ...........................................
16 121 16
0 0 0
1 5 1
1 4 0
14 112 15
406 400 211
81 77 172
278 290 15
47 33 24
0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
24 13 0 2
234
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
MAINEMetropolitan Counties
MAINENonmetropolitan Counties
MARYLANDMetropolitan Counties
MARYLANDNonmetropolitan Counties
1 The
County
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Beauregard ........................................ East Carroll ....................................... Evangeline ......................................... Franklin.............................................. Jefferson Davis.................................. Lincoln ............................................... Madison ............................................. Morehouse......................................... Natchitoches...................................... St. James............................................. St. Landry .......................................... St. Mary.............................................. Tangipahoa ........................................ Vermilion ........................................... Vernon................................................ Washington ........................................ West Carroll ......................................
36 20 66 15 54 39 61 32 99 203 164 193 884 401 233 185 29
3 0 1 0 2 5 2 1 0 3 1 2 11 1 1 3 0
8 1 9 0 6 3 3 1 5 6 8 7 41 7 6 24 0
1 6 4 0 5 5 4 2 5 15 18 52 59 0 5 12 0
24 13 52 15 41 26 52 28 89 179 137 132 773 393 221 146 29
429 32 440 203 417 247 180 438 456 697 1,127 1,027 3,684 218 638 774 279
161 10 127 65 64 84 79 93 163 199 325 226 1,515 33 136 151 83
232 22 269 125 316 149 89 334 244 451 697 756 2,027 184 472 534 179
36 0 44 13 37 14 12 11 49 47 105 45 142 1 30 89 17
3 0
Androscoggin .................................... Cumberland....................................... Penobscot........................................... Sagadahoc.......................................... York....................................................
7 36 5 5 31
0 0 0 0 0
3 6 1 0 9
0 8 0 0 1
4 22 4 5 21
226 562 750 179 469
59 273 200 59 203
156 251 517 109 224
11 38 33 11 42
2 1 0 1 4
Aroostook.......................................... Franklin.............................................. Hancock ............................................. Kennebec ........................................... Knox ................................................... Lincoln ............................................... Oxford................................................ Piscataquis ......................................... Somerset ............................................ Waldo ................................................. Washington ........................................
8 2 4 16 7 16 21 1 15 11 7
0 0 0 0 0 0 0 0 0 0 0
0 1 1 10 1 8 15 0 5 7 0
1 0 1 1 0 3 0 0 0 0 0
7 1 2 5 6 5 6 1 10 4 7
81 92 196 286 175 232 298 118 326 115 150
23 28 49 84 56 68 122 44 104 57 62
56 62 136 190 110 157 155 73 198 39 77
2 2 11 12 9 7 21 1 24 19 11
0 3 0 1 1 0 1 1 0 1 0
Allegany............................................. Anne Arundel ................................... Anne Arundel County Police Department ....................................... Baltimore County ............................. Baltimore County Police Department ....................................... Calvert................................................ Carroll ................................................ Cecil.................................................... Charles ............................................... Frederick............................................ Harford .............................................. Howard .............................................. Howard County Police Department ....................................... Montgomery...................................... Montgomery County Police Department ....................................... Prince George’s................................. Prince George’s County Police Department............................ Queen Anne’s.................................... Somerset ............................................ Washington ........................................ Wicomico ...........................................
7 0
0 0
2 0
0 0
5 0
115 0
16 0
93 0
6 0
0 0
2,605 0
12 0
85 0
722 0
1,786 0
16,489 0
3,000 0
12,053 0
1,436 0
108 0
5,331 191 70 127 787 286 455 0
36 2 0 1 4 2 7 0
151 0 29 7 33 13 35 0
1,786 16 5 20 184 18 106 0
3,358 173 36 99 566 253 307 0
26,499 1,279 315 1,118 4,003 1,446 2,875 0
4,868 240 77 414 706 251 712 0
18,299 947 231 617 2,875 1,109 1,861 0
3,332 92 7 87 422 86 302 0
349 1 0 2 2 5 18 0
577 0
5 0
36 0
244 0
292 0
7,191 0
1,242 0
5,421 0
528 0
75 0
2,059 128
19 0
129 0
1,096 7
815 121
23,567 4
3,550 1
17,534 3
2,483 0
275 0
6,134 84 1 217 122
123 0 0 4 2
226 6 1 24 10
3,092 11 0 27 22
2,693 67 0 162 88
35,628 661 33 1,276 867
5,940 149 8 326 288
19,745 482 24 861 533
9,943 30 1 89 46
356 3 0 0 3
37 24 28 19 270 11 69
0 2 0 0 1 0 0
3 1 1 0 13 1 2
9 2 1 2 39 4 2
25 19 26 17 217 6 65
318 322 268 116 2,018 168 153
109 76 81 68 542 37 53
198 221 177 42 1,368 118 82
11 25 10 6 108 13 18
0 0 0 1 6 0 1
Caroline ............................................. Dorchester ......................................... Garrett ............................................... Kent.................................................... St. Mary’s ........................................... Talbot ................................................. Worcester...........................................
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
3 2 0 1 1 0 2 6 0 3 8 0 1
SECTION II: OFFENSES REPORTED 235 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
MICHIGANMetropolitan Counties
MICHIGANNonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Barry................................................... Bay...................................................... Berrien ............................................... Calhoun.............................................. Cass..................................................... Clinton ............................................... Eaton.................................................. Genesee ............................................. Ingham ............................................... Ionia ................................................... Jackson ............................................... Kent.................................................... Lapeer ................................................ Livingston .......................................... Macomb ............................................. Monroe .............................................. Newaygo ............................................ Oakland ............................................. Ottawa................................................ Saginaw .............................................. St. Clair .............................................. Van Buren.......................................... Washtenaw......................................... Wayne6 ...............................................
42 41 134 82 34 12 138 56 126 28 117 345 51 50 390 171 69 417 308 127 190 82 328 102
2 1 0 0 2 1 0 0 3 0 0 0 0 0 8 0 1 1 1 2 0 1 5 3
12 10 22 4 9 1 24 13 44 11 18 47 9 6 39 18 20 66 113 12 39 25 65 0
4 9 14 5 5 1 30 6 11 1 2 52 1 9 57 33 1 53 22 12 14 3 91 42
24 21 98 73 18 9 84 37 68 16 97 246 41 35 286 120 47 297 172 101 137 53 167 57
370 533 848 414 742 220 1,341 667 1,039 447 643 4,182 508 1,010 2,829 2,079 491 4,055 3,113 780 1,772 663 2,230 220
95 116 188 131 280 78 294 161 319 165 162 1,038 139 278 551 511 154 826 785 247 433 188 732 60
261 374 590 248 413 125 954 459 650 252 440 2,954 341 683 2,029 1,399 308 3,038 2,261 484 1,198 420 1,197 81
14 43 70 35 49 17 93 47 70 30 41 190 28 49 249 169 29 191 67 49 141 55 301 79
2 0 7 2 7 3 3 3 10 10 7 28 1 10 12 35 6 40 22 4 21 4 18 0
Alcona................................................ Allegan............................................... Alpena................................................ Arenac................................................ Baraga ................................................ Benzie................................................. Branch................................................ Charlevoix ......................................... Cheboygan......................................... Chippewa ........................................... Crawford............................................ Delta................................................... Dickinson........................................... Emmet................................................ Gladwin.............................................. Grand Traverse ................................. Gratiot................................................ Hillsdale ............................................. Houghton........................................... Huron ................................................. Iosco ................................................... Iron ..................................................... Isabella ............................................... Kalkaska ............................................ Keweenaw ......................................... Lake.................................................... Leelanau ............................................ Lenawee............................................. Luce.................................................... Mackinac............................................ Manistee............................................. Marquette .......................................... Mason................................................. Mecosta.............................................. Menominee........................................ Midland.............................................. Missaukee .......................................... Montcalm........................................... Montmorency .................................... Oceana ............................................... Ogemaw ............................................. Ontonagon......................................... Osceola............................................... Oscoda ............................................... Otsego ................................................
14 80 0 28 2 16 26 20 7 13 25 2 8 21 23 119 16 43 11 12 3 6 39 56 2 40 18 51 4 6 10 5 42 35 5 73 14 91 10 14 20 4 23 6 2
1 4 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0
0 16 0 3 0 6 5 8 4 1 4 0 6 9 4 29 11 23 0 4 1 2 14 4 0 7 3 11 1 0 2 0 11 10 1 30 3 35 0 6 4 0 2 1 0
0 7 0 0 0 0 0 0 0 1 0 1 0 0 1 5 2 0 0 0 0 1 0 0 0 3 2 2 1 0 0 0 1 1 0 1 0 0 0 1 0 0 1 1 0
13 53 0 25 2 10 21 12 3 10 21 1 2 12 18 84 3 20 11 8 2 3 25 52 2 30 13 37 2 6 8 5 29 24 4 42 11 54 10 7 16 4 20 4 2
187 1,173 38 224 20 159 225 182 111 121 247 65 94 196 140 1,026 194 207 101 183 17 42 456 254 42 312 147 404 26 69 92 146 525 471 101 507 132 623 83 243 243 35 177 200 74
65 294 7 99 5 45 61 34 35 45 92 32 21 39 49 199 103 74 22 62 8 14 173 59 19 154 45 196 7 33 28 31 115 111 39 122 28 214 40 67 108 11 64 43 16
117 809 29 112 15 106 148 140 67 71 136 32 70 144 83 787 83 121 75 113 8 26 263 176 22 150 97 205 17 33 63 109 403 333 56 362 96 358 38 165 122 21 109 151 55
5 70 2 13 0 8 16 8 9 5 19 1 3 13 8 40 8 12 4 8 1 2 20 19 1 8 5 3 2 3 1 6 7 27 6 23 8 51 5 11 13 3 4 6 3
0 5 0 4 0 0 3 1 1 0 1 1 2 0 0 9 2 2 0 2 0 1 5 0 1 1 3 7 0 0 1 0 1 0 1 4 0 9 2 3 4 1 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
236
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Presque Isle ....................................... Roscommon....................................... Sanilac ................................................ Shiawassee ......................................... St. Joseph ........................................... Tuscola ............................................... Wexford ............................................. MINNESOTAMetropolitan Counties7
MINNESOTANonmetropolitan Counties7
1 The 5 The
Violent crime
0 25 24 57 51 33 25
Murder and nonnegligent manslaughter 0 0 0 0 1 0 0
Forcible rape
0 7 5 20 10 11 10
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
0 1 0 3 2 0 1
0 17 19 34 38 22 14
33 232 141 419 301 327 355
18 47 49 107 84 122 57
15 176 87 290 202 182 280
0 9 5 22 15 23 18
1 2 0 3 6 6 3
Benton................................................ Carver................................................. Chisago .............................................. Clay..................................................... Dakota ............................................... Dodge................................................. Hennepin ........................................... Houston ............................................. Isanti................................................... Olmsted.............................................. Polk..................................................... Ramsey............................................... Scott.................................................... Sherburne .......................................... Stearns................................................ St. Louis ............................................. Washington ........................................ Wright ................................................
0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 1 0 1
0 3 1 0 2 0 0 0 1 5 0 8 2 1 1 2 5 8
12 23 16 9 12 9 21 3 14 25 18 39 12 46 34 38 39 67
245 1,002 563 104 220 252 159 88 535 467 219 1,234 184 761 478 792 1,085 2,177
54 118 103 42 66 38 33 25 194 156 74 167 46 160 96 304 230 219
172 841 422 55 134 208 111 53 290 270 131 909 118 563 359 421 800 1,809
19 43 38 7 20 6 15 10 51 41 14 158 20 38 23 67 55 149
2 13 1 0 2 0 0 0 2 18 2 9 1 0 2 7 2 7
Aitkin ................................................. Becker ................................................ Beltrami ............................................. Big Stone ........................................... Blue Earth ......................................... Cass5 ................................................... Clearwater ......................................... Cook ................................................... Cottonwood....................................... Crow Wing ......................................... Douglas .............................................. Faribault............................................. Fillmore.............................................. Freeborn ............................................ Goodhue ............................................ Grant .................................................. Hubbard............................................. Itasca .................................................. Jackson ............................................... Kanabec ............................................. Kandiyohi .......................................... Kittson................................................ Koochiching....................................... Lac Qui Parle .................................... Lake.................................................... Lake of the Woods............................ Le Sueur............................................. Lyon.................................................... Martin................................................. McLeod.............................................. Meeker ............................................... Mille Lacs .......................................... Morrison ............................................ Mower ................................................ Murray ............................................... Nicollet............................................... Nobles ................................................ Norman .............................................. Otter Tail............................................ Pennington ........................................ Pipestone ........................................... Pope.................................................... Red Lake ........................................... Redwood............................................
1 1 0 0 1 2 0 0 1 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
0 2 6 1 0 4 1 0 0 2 1 0 1 0 0 0 1 2 1 1 0 0 0 0 0 0 1 0 0 1 2 0 0 1 0 0 0 0 1 0 0 0 0 0
13 11 61 2 5 27 17 4 1 21 12 2 5 7 10 1 14 31 2 22 12 1 9 4 0 5 8 4 0 14 8 28 13 17 2 2 3 1 19 0 1 3 1 7
411 317 522 46 224
132 143 156 9 62 166 41 22 21 106 65 30 41 27 123 24 147 123 8 83 57 4 33 3 30 18 15 26 10 48 61 73 60 56 15 12 58 14 185 13 8 14 1 19
250 149 327 34 130
29 25 39 3 32 56 11 13 4 25 14 6 10 11 25 2 22 42 0 25 15 3 20 3 1 5 7 6 6 12 11 46 30 20 1 5 3 3 33 4 4 8 1 18
1 2 1 1 0 0 1 2 0 0 3 0 0 0 2 1 1 4 0 4 1 0 2 0 0 0 2 1 0 2 0 2 2 2 0 1 0 2 1 0 0 1 0 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table.
171 134 48 426 289 65 118 108 338 73 385 443 30 236 280 59 166 45 80 105 126 65 34 133 214 406 331 194 35 61 99 63 533 41 60 77 12 102
119 99 23 295 210 29 67 70 190 47 216 278 22 128 208 52 113 39 49 82 104 33 18 73 142 287 241 118 19 44 38 46 315 24 48 55 10 65
SECTION II: OFFENSES REPORTED 237 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Violent crime
Renville.............................................. Rice..................................................... Rock ................................................... Roseau ............................................... Steele.................................................. Stevens ............................................... Swift.................................................... Todd.................................................... Traverse.............................................. Wadena .............................................. Waseca ............................................... Watonwan .......................................... Wilkin................................................. Winona............................................... Yellow Medicine ............................... MISSISSIPPIMetropolitan Counties
MISSISSIPPINonmetropolitan Counties
MISSOURIMetropolitan Counties
1 The
Murder and nonnegligent manslaughter
Forcible rape
0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
Aggravated assault
Robbery
Property crime
Larcenytheft
Motor vehicle theft
Arson1
0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
12 10 34 0 6 1 3 6 0 5 3 7 0 11 5
163 288 103 131 157 25 61 251 15 86 72 87 46 106 79
49 127 33 39 60 11 19 109 0 34 24 34 12 44 22
100 140 61 89 78 13 38 127 13 44 45 49 27 55 50
14 21 9 3 19 1 4 15 2 8 3 4 7 7 7
0 2 1 0 0 0 0 2 1 0 2 1 2 0 0
DeSoto ............................................... Jackson ............................................... Lamar ................................................. Rankin................................................ Tate..................................................... Tunica .................................................
29 125 61 64 10 99
0 6 0 1 1 3
4 15 21 8 1 3
6 16 14 5 0 29
19 88 26 50 8 64
604 2,050 757 702 266 744
108 533 262 280 94 112
406 1,231 446 387 128 575
90 286 49 35 44 57
5 0 1 5 0
Adams ................................................ Chickasaw.......................................... Claiborne ........................................... Coahoma............................................ Grenada ............................................. Jefferson............................................. Lauderdale ........................................ Leake.................................................. Lee...................................................... Leflore................................................ Lincoln ............................................... Lowndes............................................. Oktibbeha6 ........................................ Panola ................................................ Pearl River......................................... Pike..................................................... Tippah ................................................ Union ................................................. Warren ............................................... Washington ........................................ Winston ..............................................
41 21 33 7 11 44 34 0 77 132 14 89 50 55 24 33 24 11 15 17 33
2 2 0 0 1 0 1 0 0 1 2 0 0 0 1 2 3 0 0 3 1
10 0 6 0 1 1 13 0 10 9 1 32 2 8 15 0 1 1 2 3 1
6 3 10 3 4 4 7 0 10 6 1 18 6 12 5 8 2 2 2 4 1
23 16 17 4 5 39 13 0 57 116 10 39 42 35 3 23 18 8 11 7 30
529 38 188 146 131 45 569 28 700 580 337 495 158 456 712 499 44 211 339 340 25
169 20 122 60 37 22 293 15 275 244 71 126 80 202 319 192 17 112 118 119 10
310 16 64 65 63 22 229 11 351 306 238 338 61 223 342 269 23 87 181 194 14
50 2 2 21 31 1 47 2 74 30 28 31 17 31 51 38 4 12 40 27 1
12 0 0 0 1 5 5 1 11 0 2 2 11 4 5
Andrew .............................................. Bates................................................... Boone ................................................. Buchanan ........................................... Caldwell ............................................. Callaway............................................. Cass..................................................... Christian............................................. Clay..................................................... Clinton ............................................... Cole .................................................... Dallas ................................................. De Kalb.............................................. Franklin.............................................. Greene ............................................... Howard .............................................. Jackson ............................................... Jasper.................................................. Jefferson............................................. Lafayette............................................ Lincoln ............................................... McDonald.......................................... Moniteau6 .......................................... Newton............................................... Osage..................................................
14 20 126 37 5 31 72 176 20 8 29 26 43 64 282 16 70 106 396 12 71 70 20 78 6
0 0 0 0 0 0 0 0 1 1 1 0 0 1 1 1 1 1 2 0 0 1 0 3 0
0 2 6 1 0 6 5 2 1 1 3 2 1 5 9 0 5 12 36 4 2 7 1 8 0
2 0 14 4 0 1 0 0 2 0 1 2 0 0 14 0 17 7 17 0 1 3 0 4 0
12 18 106 32 5 24 67 174 16 6 24 22 42 58 258 15 47 86 341 8 68 59 19 63 6
198 155 804 174 81 775 431 273 198 112 472 217 82 906 1,445 44 612 772 3,418 219 250 368 47 815 142
63 45 201 43 31 186 139 78 80 36 131 96 30 214 333 21 192 225 377 88 86 99 15 180 43
124 83 562 113 37 532 243 158 102 68 304 107 44 623 1,010 21 335 496 2,827 108 137 228 27 562 83
11 27 41 18 13 57 49 37 16 8 37 14 8 69 102 2 85 51 214 23 27 41 5 73 16
0 1 8 1 1 5 0 2 4 0 3 7 2 3 0 0 0 2 36 0 3 9 0 9 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data.
6 Because
Burglary
19 5 0 3 0
238
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
MISSOURINonmetropolitan Counties
1 The 6
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Platte .................................................. Polk..................................................... St. Charles.......................................... St. Louis County Police Department ....................................... Warren ............................................... Washington ........................................ Webster ..............................................
37 28 234
0 1 3
3 0 10
1 0 11
33 27 210
325 271 1,490
69 124 372
247 135 1,030
9 12 88
4 0 36
1,290 55 50 43
15 0 0 0
62 2 1 0
334 0 2 0
879 53 47 43
10,688 289 242 133
2,454 72 81 25
7,186 188 137 92
1,048 29 24 16
89 3 4 2
Adair .................................................. Atchison............................................. Audrain .............................................. Barry................................................... Barton ................................................ Benton................................................ Bollinger ............................................ Butler ................................................. Camden.............................................. Cape Girardeau ................................ Carroll ................................................ Carter ................................................. Cedar.................................................. Clark................................................... Cooper ............................................... Crawford............................................ Dade ................................................... Daviess ............................................... Dent.................................................... Douglas .............................................. Dunklin .............................................. Gasconade ......................................... Gentry ................................................ Grundy ............................................... Harrison ............................................. Henry ................................................. Hickory .............................................. Holt..................................................... Howell................................................ Iron ..................................................... Johnson .............................................. Knox ................................................... Laclede............................................... Lawrence ........................................... Lewis .................................................. Linn .................................................... Livingston .......................................... Macon................................................. Madison ............................................. Maries................................................. Marion................................................ Mercer................................................ Miller6 ................................................ Mississippi.......................................... Monroe .............................................. Montgomery...................................... Morgan............................................... New Madrid....................................... Nodaway ............................................ Oregon ............................................... Ozark.................................................. Pemiscot............................................. Perry ................................................... Pettis................................................... Phelps ................................................. Pike..................................................... Pulaski................................................ Putnam ............................................... Ralls.................................................... Randolph ........................................... Reynolds ............................................ Ripley ................................................. Saline.................................................. Schuyler .............................................
6 1 16 41 14 35 7 74 64 83 5 8 3 5 9 100 10 7 8 26 19 36 5 8 3 39 2 3 72 11 23 7 18 13 4 10 2 19 5 6 5 5 86 27 0 10 163 45 2 18 26 10 10 35 85 15 134 0 34 21 4 15 13 4
0 0 0 2 0 0 2 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 0 3 0 0 0 0 0 0 0
0 0 2 8 3 5 1 0 1 3 1 0 0 0 0 8 1 3 1 4 2 1 0 0 0 2 1 0 3 0 2 1 1 1 0 1 1 0 0 0 0 1 5 0 0 0 2 3 0 1 2 2 0 0 2 1 19 0 2 2 1 4 5 1
0 0 3 0 0 0 0 0 3 2 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 1 0 1 1 0 0 1 0 0 1 4 0 0 0 1 0 2 1 1 4 0 0 0 0 0 0 0
6 1 11 31 11 30 4 74 58 78 4 8 3 5 9 92 9 3 6 22 16 35 5 8 3 36 1 3 67 11 21 6 17 11 4 9 1 18 5 5 4 4 81 26 0 10 160 38 2 17 23 7 8 31 82 13 108 0 32 19 3 11 8 3
18 11 186 440 80 213 98 610 460 283 38 41 116 51 145 181 36 61 128 90 210 99 43 71 55 261 117 84 410 59 314 109 389 291 67 56 57 57 78 70 91 16 221 82 54 90 228 113 138 36 132 131 69 249 381 97 234 8 115 127 31 211 111 10
5 7 48 149 19 84 27 128 123 70 15 16 29 21 27 79 10 32 49 35 53 47 22 40 26 81 44 31 153 33 101 25 117 99 15 25 22 17 23 31 20 12 74 21 16 42 90 27 63 6 57 31 12 67 117 46 98 3 33 47 16 65 32 9
12 3 131 266 61 119 70 438 302 198 20 19 82 23 100 92 22 25 72 40 146 42 16 28 25 164 58 43 228 21 189 83 237 177 46 21 26 36 51 33 69 2 132 50 31 47 116 68 61 28 63 95 42 180 223 45 109 3 67 76 9 124 70 1
1 1 7 25 0 10 1 44 35 15 3 6 5 7 18 10 4 4 7 15 11 10 5 3 4 16 15 10 29 5 24 1 35 15 6 10 9 4 4 6 2 2 15 11 7 1 22 18 14 2 12 5 15 2 41 6 27 2 15 4 6 22 9 0
0 1 1 6 0 2 0 0 3 3 0 0 0 2 0 0 0 0 2 2 2 3 0 2 2 6 2 0 4 0 0 1 0 1 0 18 1 2 1 0 0 2 1 0 0 0 0 1 0 0 1 1 0 2 1 0 0 0 1 1 1 1 0 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. Because of changes in the state/local agency's reporting practices, figures are not comparable to previous years' data.
SECTION II: OFFENSES REPORTED 239 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
MONTANAMetropolitan Counties
MONTANANonmetropolitan Counties
NEBRASKAMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Scotland ............................................. Scott.................................................... Shannon ............................................. Shelby................................................. Ste. Genevieve................................... St. Francois ........................................ Stoddard ............................................ Stone .................................................. Sullivan .............................................. Taney .................................................. Texas................................................... Vernon................................................ Wayne................................................. Worth ................................................. Wright ................................................
0 21 5 0 21 60 28 125 4 73 38 40 11 10 40
0 0 0 0 1 0 0 1 0 0 2 0 0 0 0
0 2 1 0 2 4 2 6 1 4 1 2 2 2 5
0 1 0 0 0 1 0 1 0 1 2 0 0 0 1
0 18 4 0 18 55 26 117 3 68 33 38 9 8 34
27 158 64 63 160 487 194 568 65 463 216 260 102 29 98
5 33 10 17 52 130 72 187 28 141 86 73 45 13 49
21 110 44 40 94 312 110 334 30 272 111 160 46 12 39
1 15 10 6 14 45 12 47 7 50 19 27 11 4 10
0 3 1 0 0 4 0 1 0 1 10 3 0 0 0
Carbon ............................................... Cascade .............................................. Missoula ............................................. Yellowstone .......................................
10 62 87 57
0 1 0 1
0 2 13 12
0 0 2 4
10 59 72 40
27 279 612 649
17 43 124 87
9 208 430 516
1 28 58 46
0 2 6 4
Beaverhead........................................ Big Horn ............................................ Blaine ................................................. Broadwater........................................ Carter ................................................. Chouteau ........................................... Dawson .............................................. Deer Lodge ....................................... Fallon.................................................. Fergus................................................. Flathead ............................................. Gallatin .............................................. Garfield.............................................. Glacier................................................ Granite ............................................... Hill...................................................... Jefferson............................................. Judith Basin ....................................... Lake.................................................... Lewis and Clark ................................ Lincoln ............................................... Madison ............................................. McCone.............................................. Meagher ............................................. Mineral............................................... Musselshell ........................................ Park .................................................... Phillips................................................ Pondera .............................................. Powell ................................................. Ravalli ................................................ Roosevelt ........................................... Rosebud ............................................. Sanders............................................... Sheridan ............................................. Silver Bow ......................................... Stillwater............................................ Sweet Grass ....................................... Teton .................................................. Toole................................................... Valley.................................................. Wibaux ...............................................
4 65 4 15 0 5 6 27 1 13 241 70 0 9 3 28 21 6 70 57 33 8 1 6 16 7 19 6 1 27 48 10 19 31 5 142 18 10 15 17 4 0
0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0
0 3 0 0 0 0 3 4 0 2 19 19 0 0 0 1 0 0 10 10 5 0 0 0 1 2 2 0 1 2 8 0 1 5 0 7 3 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 12 0 0 0 0 2 0
4 62 4 15 0 4 3 23 1 11 214 50 0 9 3 27 21 6 57 46 27 8 1 6 15 5 17 6 0 25 37 9 18 26 4 122 15 10 14 17 2 0
42 235 25 162 3 15 76 99 9 15 1,168 445 1 50 47 153 58 9 348 350 240 64 15 27 29 83 94 63 8 131 406 32 66 141 17 1,389 38 39 87 56 56 3
8 10 2 7 0 1 10 9 0 5 225 59 0 8 3 10 14 0 82 87 70 17 1 2 8 6 29 10 2 24 58 11 7 21 2 222 22 1 6 10 10 0
28 200 17 144 3 12 65 79 6 9 879 337 1 35 42 130 36 8 208 227 158 39 14 23 17 74 53 49 4 99 327 18 57 114 12 1,044 13 33 78 41 42 3
6 25 6 11 0 2 1 11 3 1 64 49 0 7 2 13 8 1 58 36 12 8 0 2 4 3 12 4 2 8 21 3 2 6 3 123 3 5 3 5 4 0
0 2 0 2 0 1 1 0 0 1 6 14 0 0 0 2 1 0 6 11 2 0 0 0 0 0 1 0 1 0 9 1 1 1 0 4 1 1 1 1 0 0
Cass..................................................... Dakota ............................................... Dixon.................................................. Douglas .............................................. Lancaster ........................................... Seward................................................ Washington ........................................
10 1 3 171 23 3 5
0 0 0 1 1 1 0
1 0 3 7 1 1 0
0 0 0 16 1 0 0
9 1 0 147 20 1 5
263 45 65 1,347 383 42 92
38 13 22 361 88 10 19
207 29 39 893 281 24 66
18 3 4 93 14 8 7
1 0 0 0 6 0 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
240
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
NEBRASKANonmetropolitan Counties
NEVADAMetropolitan Counties NEVADANonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Adams ................................................ Antelope ............................................ Box Butte........................................... Boyd ................................................... Brown................................................. Buffalo ............................................... Burt..................................................... Butler ................................................. Cedar.................................................. Chase.................................................. Cheyenne ........................................... Colfax ................................................. Cuming............................................... Custer ................................................. Dawson .............................................. Deuel.................................................. Dodge................................................. Franklin.............................................. Frontier .............................................. Furnas ................................................ Gage ................................................... Gosper................................................ Hall ..................................................... Hamilton............................................ Harlan ................................................ Hitchcock........................................... Holt..................................................... Hooker ............................................... Jefferson............................................. Kearney.............................................. Keith................................................... Keya Paha.......................................... Kimball............................................... Knox ................................................... Lincoln ............................................... Madison ............................................. Merrick............................................... Morrill ................................................ Nance ................................................. Nemaha.............................................. Pawnee ............................................... Perkins ............................................... Phelps ................................................. Platte .................................................. Polk..................................................... Red Willow ........................................ Richardson ........................................ Rock ................................................... Saline.................................................. Scotts Bluff ........................................ Sheridan ............................................. Sioux................................................... Stanton ............................................... Thayer ................................................ Wayne................................................. Webster .............................................. Wheeler.............................................. York....................................................
4 1 0 0 2 13 3 5 4 4 2 21 0 4 3 0 11 2 2 2 4 1 12 2 1 3 0 0 4 2 3 0 1 1 6 7 0 1 1 4 1 2 1 6 0 2 3 0 3 8 0 0 4 2 1 3 1 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0
0 0 0 0 0 1 1 0 1 0 0 0 0 2 0 0 0 1 2 0 2 0 1 1 0 0 0 0 0 2 2 0 0 0 0 1 0 0 0 0 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0
1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 1 0 0 2 11 2 5 3 4 2 21 0 2 3 0 11 1 0 2 2 1 10 1 1 3 0 0 3 0 1 0 1 1 4 4 0 1 1 4 1 0 0 6 0 1 3 0 2 5 0 0 4 2 1 2 1 3
117 37 9 13 43 198 36 45 8 19 89 58 11 42 88 33 157 17 23 22 190 37 219 49 2 5 21 1 65 49 36 5 18 23 168 53 52 34 13 32 30 23 31 243 67 36 57 17 69 106 56 1 35 61 14 20 1 55
36 14 1 3 9 46 12 3 4 7 21 15 8 11 10 3 16 6 6 6 46 8 54 11 0 2 4 1 23 10 6 1 0 4 27 13 8 5 4 2 9 4 7 45 5 13 24 4 15 28 18 0 7 19 3 6 0 8
74 18 6 9 32 142 21 42 4 9 56 40 2 30 73 29 125 9 17 14 132 27 150 35 2 3 17 0 31 37 28 4 14 19 135 38 41 26 8 30 14 18 20 186 62 21 30 13 41 67 37 1 27 41 10 14 1 41
7 5 2 1 2 10 3 0 0 3 12 3 1 1 5 1 16 2 0 2 12 2 15 3 0 0 0 0 11 2 2 0 4 0 6 2 3 3 1 0 7 1 4 12 0 2 3 0 13 11 1 0 1 1 1 0 0 6
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0
Carson City........................................ Washoe...............................................
206 208
1 2
5 0
21 13
179 193
1,103 1,755
286 563
723 954
94 238
23 3
Churchill ............................................ Douglas .............................................. Elko .................................................... Esmeralda.......................................... Eureka................................................ Humboldt........................................... Lincoln ...............................................
40 69 25 1 9 63 2
1 0 3 0 0 1 0
8 5 8 0 0 0 0
2 7 3 0 1 1 0
29 57 11 1 8 61 2
266 920 195 3 26 58 36
109 202 95 1 9 26 4
143 663 80 2 14 26 22
14 55 20 0 3 6 10
10 9 2 3 1 2 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 241 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
NEW HAMPSHIREMetropolitan Counties NEW HAMPSHIRENonmetropolitan Counties
NEW MEXICOMetropolitan Counties
NEW MEXICONonmetropolitan Counties
NEW YORKMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Arson1
Lyon.................................................... Mineral............................................... Nye ..................................................... Pershing ............................................. White Pine5 ........................................
84 15 117 38 13
2 0 2 0 0
3 7 18 9 2
10 0 19 0 1
69 8 78 29 10
777 32 989 42
244 14 340 21 76
465 14 501 21
68 4 148 0 7
11 0 19 0 1
Rockingham ......................................
36
0
0
0
36
5
1
3
1
0
Carroll ................................................ Cheshire ............................................. Merrimack .........................................
3 0 10
0 0 0
1 0 5
0 0 0
2 0 5
37 3 0
10 0 0
24 3 0
3 0 0
0 0 0
Bernalillo ........................................... Sandoval4 ........................................... San Juan ............................................. Santa Fe ............................................. Valencia..............................................
900
7 1 8 0 8
46 1 29 29 14
150 0 8 12 12
697
2,401 162 953 1,072 1,166
710 97 289 735 511
1,301 63 550 335 408
390 2 114 2 247
80 0 6 12 41
0 7 1 0 1 10 2 10 1 0 2 0 15 0 4 0 3 1
0 4 1 0 0 2 0 3 1 3 9 0 1 1 0 0 0 1
3 40 7 3 10 34 11 30 61 70 75 1 2 59 5 8 19
39 467 94 7 158 371 153 477 149 359 279 5 269 31 113 55 48 95
27 250 56 3 80 133 98 163 52 151 125 2 125 9 65 14 23 42
8 175 28 4 63 225 55 274 90 161 125 2 127 21 36 38 22 47
4 42 10 0 15 13 0 40 7 47 29 1 17 1 12 3 3 6
0 6 0 0 0 0 0 3 0 0 19 0 0 1 5 0 1 0
250 211 199
205 170 165
Catron ................................................ Chaves................................................ Cibola6................................................ Colfax ................................................. Curry .................................................. Eddy ................................................... Grant .................................................. Lea...................................................... Lincoln ............................................... Luna ................................................... McKinley ........................................... Mora ................................................... Otero4 ................................................. Quay ................................................... Rio Arriba ......................................... Roosevelt ........................................... Sierra .................................................. Socorro...............................................
5 53 9 3 11 48 13 43 64 77 86 1 4 65 5 11 21
2 2 0 0 0 2 0 0 1 4 0 0 1 1 2 0 0 0
Albany................................................ Broome .............................................. Chemung............................................ Dutchess............................................. Erie ..................................................... Herkimer ........................................... Livingston .......................................... Madison ............................................. Monroe .............................................. Nassau ................................................ Niagara............................................... Oneida................................................ Onondaga .......................................... Ontario............................................... Orange ............................................... Oswego............................................... Putnam ............................................... Rensselaer ......................................... Rockland............................................ Saratoga ............................................. Schenectady....................................... Schoharie ........................................... Suffolk................................................ Suffolk County Police Department ....................................... Tioga................................................... Tompkins ........................................... Ulster.................................................. Warren ...............................................
23 57 17 66 118 0 24 8 213 1,639 79 66 174 38 7 45 20 40 24 26 9 2 155
0 0 0 1 0 0 0 0 1 14 0 4 3 1 0 0 0 0 0 0 0 0 0
2 12 2 5 12 0 4 1 20 71 15 2 25 8 1 8 5 3 1 9 0 0 0
0 5 1 11 19 0 1 1 44 748 14 2 34 5 2 9 3 4 0 4 1 0 1
21 40 14 49 87 0 19 6 148 806 50 58 112 24 4 28 12 33 23 13 8 2 154
95 772 409 897 908 16 764 291 3,853 13,886 1,336 531 1,785 891 17 411 300 208 40 977 35 78 9
22 143 52 186 198 0 99 101 605 1,807 370 173 362 201 7 134 64 56 0 175 1 28 1
72 601 342 678 671 16 646 186 3,087 10,928 914 333 1,333 665 9 246 222 148 39 770 31 48 2
1 28 15 33 39 0 19 4 161 1,151 52 25 90 25 1 31 14 4 1 32 3 2 6
0 2 0 3 10 0 1 1 13
2,205 7 16 42 57
28 0 0 0 0
89 1 7 2 12
874 1 2 2 4
1,214 5 7 38 41
24,039 161 404 317 850
3,360 57 66 71 133
18,583 89 321 235 695
2,096 15 17 11 22
301 1 1 1 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency’s data were overreported. Consequently, affected data are not included in this table. 5 The FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table. 6 Because of changes in the state/local agency's reporting practices, figures are not comparable to previous years' data. 4 The
Motor vehicle theft
Larcenytheft
Burglary
7 7 14 6 1 0 2 2 0 13 0 0
242
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
NEW YORKNonmetropolitan Counties
NORTH CAROLINAMetropolitan Counties
NORTH CAROLINANonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Larcenytheft
Motor vehicle theft
Arson1
Washington ........................................ Wayne................................................. Westchester Public Safety................
41 48 69
3 0 0
7 14 1
2 7 2
29 27 66
348 504 289
70 100 24
257 389 248
21 15 17
1 3
Allegany............................................. Cattaraugus ....................................... Cayuga ............................................... Chautauqua ....................................... Chenango........................................... Clinton ............................................... Columbia ........................................... Cortland ............................................. Delaware............................................ Franklin.............................................. Fulton ................................................. Genesee ............................................. Greene ............................................... Hamilton............................................ Lewis .................................................. Montgomery...................................... Otsego ................................................ Schuyler ............................................. Seneca ................................................ Steuben .............................................. St. Lawrence ...................................... Sullivan .............................................. Wyoming............................................ Yates...................................................
0 40 33 49 13 2 26 13 4 0 17 36 7 0 16 23 14 8 7 8 15 41 14 2
0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
0 5 6 19 1 0 1 4 3 0 9 4 0 0 1 2 5 0 2 4 1 6 3 0
0 4 3 5 1 0 2 0 0 0 0 6 1 0 0 2 0 0 0 0 0 0 1 0
0 30 24 25 9 2 23 9 1 0 8 26 6 0 15 18 9 8 5 4 14 35 10 2
1 421 300 896 353 14 359 328 183 0 388 605 36 11 150 337 206 67 136 83 95 533 245 179
0 142 70 238 91 2 92 61 66 0 115 147 8 1 61 50 90 23 13 20 18 168 70 54
1 246 225 630 251 11 250 257 109 0 258 437 25 10 86 268 108 41 123 63 75 340 170 120
0 33 5 28 11 1 17 10 8 0 15 21 3 0 3 19 8 3 0 0 2 25 5 5
0 5 1 8 4 0 1 1 0 0 0 7 0 0 1 0 1 0 1 0 0 3 0 1
Alexander .......................................... Brunswick .......................................... Buncombe.......................................... Caldwell ............................................. Cumberland....................................... Currituck............................................ Davie4 ................................................. Durham.............................................. Edgecombe........................................ Forsyth ............................................... Franklin.............................................. Gaston................................................ Gaston County Police Department ....................................... Greene ............................................... Guilford ............................................. Haywood............................................ Henderson ......................................... Madison ............................................. Nash.................................................... New Hanover .................................... Onslow ............................................... Orange ............................................... Pender5 ............................................... Person ................................................ Pitt ...................................................... Randolph ........................................... Rockingham ...................................... Stokes ................................................. Wake................................................... Wayne................................................. Yadkin ................................................
80 151 185 72 581 44 64 65 74 286 30 16
3 5 6 2 7 1 2 2 3 2 2 0
12 17 19 11 24 1 1 0 5 25 3 0
7 34 32 7 107 1 5 18 17 50 16 0
58 95 128 52 443 41 56 45 49 209 9 16
763 2,175 2,540 1,384 4,906 533
289 787 952 532 1,606 179
1,079 681 2,720 653 6
285 302 819 316 0
423 1,184 1,373 741 2,993 334 350 712 321 1,764 291 6
51 204 215 111 307 20 46 82 58 137 46 0
8 12 12 23 33 2 7 1 3 25 1 0
289 39 202 103 68 9 48 222 294 31 75 69 235 129 105 125 217 163 97
4 0 8 2 0 0 4 1 4 4 1 1 3 6 3 0 6 6 2
22 9 9 5 18 4 3 29 35 3 30 10 14 4 4 8 29 4 4
38 10 52 5 14 1 18 42 50 19 2 6 27 24 24 5 43 24 4
225 20 133 91 36 4 23 150 205 5 42 52 191 95 74 112 139 129 87
1,956 670 1,973 884 1,306 223 673 2,723 2,785 895
1,049 342 1,074 534 709 101 329 1,929 1,592 410 588 326 986 1,595 863 566 1,559 1,135 314
233 52 137 50 121 16 88 203 199 57
624 1,823 2,489 1,422 1,042 2,944 2,097 644
674 276 762 300 476 106 256 591 994 428 429 268 698 712 451 376 1,070 793 268
30 139 182 108 100 315 169 62
32 6 32 3 3 3 14 21 31 4 4 2 18 6 1 6 17 4 7
Ashe ................................................... Beaufort ............................................. Bertie.................................................. Bladen ................................................ Camden.............................................. Caswell ...............................................
33 120 19 147 8 54
0 1 0 1 0 3
6 6 1 1 3 8
1 11 11 20 0 7
26 102 7 125 5 36
364 782 331 1,012 92 454
168 321 163 348 23 202
182 399 135 607 69 224
14 62 33 57 0 28
5 4 2 9 1 3
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency's data were overreported. Consequently, affected data are not included in this table. 5 The FBI determined that the agency’s data were underreported. Consequently, affected data are not included in this table. 4 The
Burglary
SECTION II: OFFENSES REPORTED 243 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
NORTH DAKOTAMetropolitan Counties
NORTH DAKOTANonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Chowan .............................................. Clay..................................................... Craven................................................ Dare.................................................... Davidson............................................ Duplin ................................................ Gates .................................................. Granville ............................................ Halifax................................................ Hertford ............................................. Iredell ................................................. Jones ................................................... Lee...................................................... Lenoir................................................. Lincoln ............................................... Macon................................................. McDowell .......................................... Montgomery...................................... Moore................................................. Northampton..................................... Pasquotank ........................................ Perquimans........................................ Richmond .......................................... Robeson ............................................. Rutherford......................................... Scotland ............................................. Stanly.................................................. Surry ................................................... Swain .................................................. Transylvania ...................................... Tyrrell ................................................. Vance.................................................. Warren ............................................... Watauga ............................................. Wilkes................................................. Wilson ................................................ Yancey................................................
10 14 138 36 205 148 9 101 124 48 193 16 41 149 126 16 31 34 63 47 57 2 143 507 131 42 56 114 23 40 12 117 30 16 171 88 20
2 0 1 0 3 2 0 1 4 2 1 1 3 1 3 0 2 1 2 2 0 1 2 2 0 1 0 1 0 3 0 1 0 0 1 2 0
2 1 10 3 2 5 2 5 6 1 15 0 7 11 12 4 6 5 7 4 6 0 4 24 11 11 15 21 1 3 0 10 5 1 5 7 3
2 0 12 3 21 21 2 18 20 18 22 5 7 18 21 1 4 4 8 5 3 1 37 90 18 5 3 12 3 4 3 20 9 1 18 10 0
4 13 115 30 179 120 5 77 94 27 155 10 24 119 90 11 19 24 46 36 48 0 100 391 102 25 38 80 19 30 9 86 16 14 147 69 17
124 197 1,367 567 2,212 1,232 128 909 1,062 339 1,998 222 607 997 1,820 494 636 459 882 504 425 132 1,264 4,278 1,212 630 544 1,381 234 335 93 1,374 550 529 1,221 842 104
58 65 413 171 252 483 41 290 552 117 720 49 271 344 730 182 279 163 371 271 155 62 491 2,203 440 346 212 483 84 133 11 617 161 222 461 216 54
64 111 857 382 1,719 638 85 565 441 197 1,110 166 281 595 1,016 281 310 262 447 183 239 64 677 1,631 690 230 299 666 135 158 80 649 359 278 675 559 45
2 21 97 14 241 111 2 54 69 25 168 7 55 58 74 31 47 34 64 50 31 6 96 444 82 54 33 232 15 44 2 108 30 29 85 67 5
0 3 3 1 20 8 3 6 11 1 19 1 12 11 8 3 8 1 4 1 8 6 24 33 16 15 7 32 1 2 1 5 3 3 7 9 1
Burleigh ............................................. Cass..................................................... Grand Forks ...................................... Morton ...............................................
20 11 6 10
0 0 0 0
6 3 1 6
1 0 0 0
13 8 5 4
123 176 117 69
40 50 32 20
75 107 66 43
8 19 19 6
1 3 0 1
Barnes ................................................ Bottineau ........................................... Cavalier.............................................. Dickey ................................................ Dunn .................................................. Eddy ................................................... Emmons ............................................. Griggs ................................................. Hettinger............................................ Kidder ................................................ Logan ................................................. McHenry............................................ McIntosh............................................ McKenzie........................................... McLean .............................................. Mercer................................................ Nelson ................................................ Pembina ............................................. Ramsey............................................... Renville.............................................. Richland............................................. Rolette ............................................... Sargent ............................................... Stark ................................................... Stutsman ............................................ Towner ...............................................
0 1 3 1 0 1 0 0 2 0 1 2 0 0 2 1 3 2 3 2 13 5 1 4 3 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 2 0 3 1 1 1 0
0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 3 1 0 0 0 0 0 0 1 2 0 0 2 1 3 2 2 0 13 2 0 3 2 0
31 40 90 38 0 19 19 5 13 2 2 29 5 34 122 9 24 18 22 13 77 14 23 24 52 19
15 12 12 5 0 14 2 2 1 1 0 11 3 6 21 0 9 4 3 2 20 5 2 2 13 8
13 22 72 30 0 5 16 3 12 1 2 17 2 25 91 8 8 10 16 11 51 6 21 20 32 8
3 6 6 3 0 0 1 0 0 0 0 1 0 3 10 1 7 4 3 0 6 3 0 2 7 3
0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 3 0 0 2 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
244
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
OHIOMetropolitan Counties
OHIONonmetropolitan Counties
OKLAHOMAMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Traill ................................................... Walsh .................................................. Ward ................................................... Wells ................................................... Williams .............................................
7 4 20 3 5
0 0 0 2 0
1 0 3 0 0
0 1 0 0 1
6 3 17 1 4
22 71 97 25 70
7 19 29 11 18
9 42 57 11 41
6 10 11 3 11
1 2 1 2 3
Belmont ............................................. Brown................................................. Carroll ................................................ Clermont............................................ Erie ..................................................... Fairfield .............................................. Greene ............................................... Hamilton............................................ Jefferson............................................. Lawrence ........................................... Licking ............................................... Lorain................................................. Lucas .................................................. Mahoning........................................... Medina ............................................... Miami ................................................. Morrow .............................................. Ottawa................................................ Pickaway ............................................ Portage ............................................... Preble ................................................. Richland............................................. Stark ................................................... Trumbull ............................................ Union ................................................. Washington ........................................ Wood ..................................................
15 12 2 82 18 41 16 302 42 25 13 59 60 13 1 11 15 4 47 39 23 68 119 27 21 64 10
0 1 0 1 0 2 1 4 1 0 1 3 0 0 0 0 0 0 1 0 2 2 1 0 0 0 0
5 5 2 43 1 11 6 39 2 3 1 19 6 1 0 7 7 0 5 16 4 18 23 6 6 17 2
1 5 0 3 1 13 2 148 0 1 4 26 22 4 0 1 5 1 6 7 3 8 47 3 0 1 1
9 1 0 35 16 15 7 111 39 21 7 11 32 8 1 3 3 3 35 16 14 40 48 18 15 46 7
394 394 175 1,734 446 1,366 450 6,224 429 343 965 1,044 1,333 239 37 489 445 370 1,099 1,624 403 1,298 2,735 505 290 470 550
99 147 40 441 150 359 128 1,003 86 97 258 571 271 48 30 152 171 59 361 470 170 465 761 148 80 176 148
266 229 115 1,176 278 935 310 4,911 310 214 590 443 975 179 7 307 232 292 699 1,054 215 794 1,830 290 197 273 385
29 18 20 117 18 72 12 310 33 32 117 30 87 12 0 30 42 19 39 100 18 39 144 67 13 21 17
6 0 1 14 4 3 2 47 2 3 3 23 10 1 0 9 3 0 14 8 4 12 32 2 5 3 2
Adams ................................................ Ashland.............................................. Champaign ........................................ Columbiana ....................................... Coshocton.......................................... Crawford............................................ Darke ................................................. Defiance............................................. Fayette................................................ Guernsey............................................ Hancock ............................................. Hardin ................................................ Harrison ............................................. Henry ................................................. Highland ............................................ Hocking.............................................. Holmes ............................................... Huron ................................................. Marion................................................ Meigs .................................................. Mercer................................................ Morgan............................................... Muskingum........................................ Paulding ............................................. Pike..................................................... Ross .................................................... Seneca ................................................ Tuscarawas......................................... Van Wert ............................................ Wayne................................................. Williams .............................................
10 10 20 22 25 11 30 9 27 12 7 3 14 9 11 9 8 6 21 7 3 7 45 13 16 40 6 8 7 24 12
1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
6 6 10 4 4 1 10 5 7 8 1 2 5 4 1 2 2 1 6 1 0 2 22 4 5 13 0 2 6 9 7
2 1 2 2 3 3 0 0 5 0 0 1 0 0 0 0 1 3 12 2 1 2 8 0 3 6 4 1 1 0 2
1 3 8 16 17 7 19 4 15 4 5 0 9 5 10 7 5 2 3 4 2 3 15 8 8 21 2 5 0 15 3
494 275 405 435 712 289 374 165 599 276 252 278 144 261 435 335 269 479 709 314 223 180 1,166 216 500 1,788 165 346 216 613 301
200 108 128 106 175 118 148 40 135 122 74 100 53 80 178 102 82 156 163 142 42 71 330 63 168 471 53 131 78 239 81
258 148 252 289 521 159 212 122 450 138 170 161 72 177 231 207 166 303 528 152 166 96 733 153 282 1,207 110 184 131 330 202
36 19 25 40 16 12 14 3 14 16 8 17 19 4 26 26 21 20 18 20 15 13 103 0 50 110 2 31 7 44 18
1 2 12 3 6 0 6 1 4 2 4 0 5 1 4 4 2 2 3 1 2 1 6 2 9 3 0 1 0 7 6
Canadian............................................ Cleveland ........................................... Comanche.......................................... Creek..................................................
21 44 17 74
0 1 1 1
1 6 5 17
0 3 3 1
20 34 8 55
61 287 210 546
37 101 63 173
15 163 127 319
9 23 20 54
0 4 1 9
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 245 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Grady ................................................. Le Flore ............................................. Lincoln ............................................... Logan ................................................. McClain.............................................. Oklahoma .......................................... Okmulgee .......................................... Osage.................................................. Pawnee ............................................... Rogers ................................................ Sequoyah4 .......................................... Tulsa ................................................... Wagoner............................................. OKLAHOMANonmetropolitan Counties
1 The 4 The
Adair .................................................. Alfalfa ................................................ Atoka ................................................. Beaver ................................................ Beckham ............................................ Blaine ................................................. Bryan.................................................. Caddo ................................................. Carter ................................................. Cherokee ........................................... Choctaw ............................................. Cimarron............................................ Coal .................................................... Cotton ................................................ Craig ................................................... Custer ................................................. Delaware............................................ Dewey ................................................ Ellis..................................................... Garfield.............................................. Garvin ................................................ Grant .................................................. Greer .................................................. Harmon.............................................. Harper................................................ Haskell ............................................... Hughes ............................................... Jackson ............................................... Jefferson............................................. Johnston ............................................. Kay ..................................................... Kingfisher .......................................... Kiowa ................................................. Latimer............................................... Love.................................................... Major.................................................. Marshall ............................................. Mayes ................................................. McCurtain.......................................... McIntosh............................................ Murray ............................................... Muskogee .......................................... Noble.................................................. Nowata ............................................... Okfuskee............................................ Ottawa................................................ Payne.................................................. Pittsburg............................................. Pontotoc4............................................ Pottawatomie .................................... Pushmataha ....................................... Roger Mills ........................................ Seminole ............................................ Stephens............................................. Texas................................................... Tillman ............................................... Washington ........................................ Washita............................................... Woods................................................. Woodward .........................................
Violent crime
19 44 35 40 34 30 6 31 29 3 269 35
58 4 18 6 9 6 65 23 48 195 19 0 8 1 18 2 72 1 1 11 20 25 2 2 2 42 3 10 10 23 12 5 5 16 3 6 38 23 34 26 6 58 10 22 3 19 19 26 63 13 1 39 38 5 5 27 6 3 6
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
0 1 0 0 1 0 0 3 0 0 0 2 1
3 1 6 2 7 1 2 6 1 0 15 3
0 2 2 0 1 2 0 2 1 0 1 17 1
1 0 0 1 0 0 1 1 3 4 1 0 0 0 0 0 4 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0 0 0 1 0 1 1 0 0 1 1 0 0 0 0 3 0 1 0 0 1 0 0 0 0 0 0 0
3 0 4 3 1 1 6 1 1 7 2 0 0 1 2 0 18 0 0 3 4 0 1 1 0 0 0 0 0 1 3 0 0 1 1 1 1 1 5 3 2 11 3 3 0 2 0 6 2 8 1 0 2 2 1 3 2 0 0 0
0 0 1 0 1 0 0 1 2 1 1 0 1 0 0 1 2 0 0 1 1 0 0 1 0 0 0 0 1 1 0 1 0 0 0 0 0 1 2 1 0 4 0 0 0 1 0 2 0 4 0 0 0 1 0 0 0 0 0 0
Property crime
16 40 27 38 25 27 4 20 27 3 235 30
54 4 13 2 7 5 58 20 42 183 15 0 7 0 16 1 48 1 1 7 14 25 0 0 2 42 3 10 9 21 7 4 5 15 2 4 37 20 26 22 4 42 6 19 3 16 19 15 50 12 1 36 35 4 2 25 6 3 6
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. FBI determined that the agency's data were overreported. Consequently, affected data are not included in this table.
Burglary
Larcenytheft
Motor vehicle theft
Arson1
277 290 266 177 190 248 192 297 156 240 405 1,080 345
73 115 97 60 58 72 82 121 60 98 166 353 129
176 147 134 79 116 147 86 160 72 91 173 585 165
28 28 35 38 16 29 24 16 24 51 66 142 51
3 3 6 2 2 1 4 10 1 0 13 10 2
140 24 122 41 76 42 366 253 167 341 159 3 82 19 124 74 456 19 13 75 212 63 24 13 28 72 126 96 40 16 127 62 39 53 97 64 141 270 493 340 51 253 82 86 67 125 220 517 202 477 105 50 223 157 52 45 163 23 16 111
65 7 29 6 20 8 162 64 46 169 57 0 17 8 46 24 211 10 5 25 52 11 6 3 13 23 25 41 14 8 45 27 18 13 15 22 38 92 166 174 20 97 40 32 15 51 80 175 95 170 49 8 67 35 13 11 64 8 5 49
42 13 78 32 47 27 159 148 111 120 91 2 61 11 57 47 201 7 7 44 133 51 18 10 13 28 74 46 21 5 75 32 18 33 68 38 87 152 289 150 21 125 37 45 43 55 118 331 97 267 42 40 143 110 37 29 93 12 10 46
33 4 15 3 9 7 45 41 10 52 11 1 4 0 21 3 44 2 1 6 27 1 0 0 2 21 27 9 5 3 7 3 3 7 14 4 16 26 38 16 10 31 5 9 9 19 22 11 10 40 14 2 13 12 2 5 6 3 1 16
8 1 0 0 4 1 2 1 8 3 0 0 0 0 4 1 11 0 0 3 1 1 0 1 0 1 3 5 0 0 3 0 1 0 0 2 1 0 11 2 1 10 2 0 4 0 0 18 8 7 3 3 3 3 0 2 8 1 0 0
246
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
OREGONMetropolitan Counties
OREGONNonmetropolitan Counties
PENNSYLVANIAMetropolitan Counties
PENNSYLVANIANonmetropolitan Counties
SOUTH CAROLINAMetropolitan Counties
1 The
County
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Aggravated assault
Robbery
Property crime
Motor vehicle theft
Larcenytheft
Burglary
Arson1
Benton................................................ Clackamas.......................................... Deschutes........................................... Jackson ............................................... Lane.................................................... Marion................................................ Multnomah ........................................ Polk..................................................... Washington ........................................ Yamhill...............................................
27 220 97 179 277 125 33 40 245 36
1 5 0 3 0 0 1 0 3 1
5 42 15 10 15 32 1 5 50 9
0 95 4 6 22 50 11 1 59 6
21 78 78 160 240 43 20 34 133 20
277 5,885 990 1,177 1,483 2,955 895 274 3,433 596
77 989 298 297 605 569 132 70 644 127
185 4,292 610 778 693 2,003 675 182 2,418 416
15 604 82 102 185 383 88 22 371 53
7 16 15 9 21 12 2 6 36 9
Baker.................................................. Clatsop ............................................... Crook ................................................. Douglas .............................................. Gilliam ............................................... Grant .................................................. Harney ............................................... Hood River........................................ Jefferson............................................. Josephine ........................................... Lincoln ............................................... Linn .................................................... Malheur.............................................. Morrow .............................................. Sherman ............................................. Tillamook........................................... Umatilla ............................................. Union ................................................. Wallowa ............................................. Wasco ................................................. Wheeler..............................................
3 16 30 59 0 0 0 13 29 31 51 21 3 18 0 11 46 6 8 1 0
0 0 0 1 0 0 0 0 0 1 0 2 0 0 0 0 2 0 0 0 0
0 4 5 21 0 0 0 1 6 4 8 2 2 5 0 3 9 2 2 0 0
1 2 2 4 0 0 0 4 3 4 4 5 0 0 0 2 3 0 0 0 0
2 10 23 33 0 0 0 8 20 22 39 12 1 13 0 6 32 4 6 1 0
20 183 133 1,139 27 65 21 301 257 844 499 1,175 197 202 39 308 445 181 52 253 23
6 41 50 315 8 20 8 46 85 273 143 394 78 51 3 114 148 50 11 68 9
11 131 80 743 17 40 11 230 128 457 333 690 107 126 34 169 229 119 38 139 13
3 11 3 81 2 5 2 25 44 114 23 91 12 25 2 25 68 12 3 46 1
0 0 0 15 0 0 0 3 6 7 4 4 1 1 0 5 9 1 0 0 1
Allegheny .......................................... Allegheny County Police Department ....................................... Beaver ................................................ Cumberland....................................... Lycoming ........................................... Montgomery...................................... Pike..................................................... Washington ........................................ York....................................................
19
0
0
0
19
2
0
2
0
0
51 5 0 0 0 0 3 2
0 0 0 0 0 0 0 0
11 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
40 5 0 0 0 0 3 2
253 5 0 0 0 0 3 0
11 0 0 0 0 0 1 0
213 5 0 0 0 0 2 0
29 0 0 0 0 0 0 0
44 0 0 0 0 0 0 0
Bradford ............................................ Elk ...................................................... Greene ............................................... Snyder ................................................ Tioga...................................................
1 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
Aiken.................................................. Anderson ........................................... Berkeley............................................. Calhoun.............................................. Charleston ......................................... Darlington ......................................... Dorchester ......................................... Edgefield............................................ Fairfield .............................................. Florence ............................................. Greenville .......................................... Horry.................................................. Horry County Police Department .. Kershaw ............................................. Laurens .............................................. Lexington...........................................
441 820 587 85 937 440 445 32 210 596 2,252 1 1,465 157 243 607
6 4 7 0 7 15 6 0 2 5 20 0 9 2 3 10
51 47 34 1 33 17 29 1 11 19 121 0 77 16 27 60
88 76 94 12 107 41 80 3 12 86 524 0 166 14 28 124
296 693 452 72 790 367 330 28 185 486 1,587 1 1,213 125 185 413
3,150 7,068 3,318 297 2,696 2,084 2,321 364 739 3,158 11,531 38 7,875 1,236 1,351 4,161
1,008 2,088 956 72 797 697 634 84 256 827 3,467 0 1,853 335 472 1,036
1,723 4,263 1,929 178 1,488 1,150 1,449 238 413 1,999 6,812 38 5,151 757 747 2,667
419 717 433 47 411 237 238 42 70 332 1,252 0 871 144 132 458
6 33 15 3 11 17 10 1 5 8 44 0 24 12 5 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 247 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
SOUTH CAROLINANonmetropolitan Counties
SOUTH DAKOTAMetropolitan Counties
SOUTH DAKOTANonmetropolitan Counties
1 The
County
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Pickens ............................................... Richland............................................. Saluda................................................. Sumter................................................ York....................................................
247 2,282 52 1,005 602
0 23 0 5 2
27 90 8 33 35
12 420 4 45 57
208 1,749 40 922 508
1,906 8,715 223 2,624 3,323
555 2,147 67 960 820
1,139 5,587 129 1,358 2,193
212 981 27 306 310
10 34 1 43 13
Abbeville ........................................... Allendale ........................................... Bamberg............................................. Barnwell............................................. Beaufort ............................................. Cherokee ........................................... Chester ............................................... Chesterfield ....................................... Clarendon .......................................... Colleton ............................................. Dillon ................................................. Georgetown....................................... Greenwood........................................ Hampton............................................ Jasper.................................................. Lancaster ........................................... Lee...................................................... Marion................................................ Marlboro............................................ McCormick........................................ Newberry ........................................... Oconee ............................................... Orangeburg ....................................... Union ................................................. Williamsburg .....................................
61 15 49 97 671 147 222 141 227 302 307 237 348 97 147 206 90 163 124 24 80 271 453 116 125
0 0 0 2 7 0 1 2 3 2 3 3 1 2 3 3 2 2 0 0 4 0 9 1 5
1 0 2 2 22 1 6 2 18 8 16 16 10 2 8 20 4 12 6 1 8 26 36 2 7
1 2 4 3 127 25 22 9 33 35 39 27 12 8 16 46 4 15 10 1 6 16 82 5 15
59 13 43 90 515 121 193 128 173 257 249 191 325 85 120 137 80 134 108 22 62 229 326 108 98
320 70 303 381 3,928 1,542 731 893 933 1,274 1,081 1,553 1,658 342 717 1,934 488 769 603 105 445 1,212 3,669 461 687
91 19 140 117 1,018 467 186 277 238 332 309 360 336 101 203 590 132 205 173 30 83 374 1,407 164 230
209 44 124 236 2,643 969 482 549 566 786 634 1,062 1,223 208 422 1,229 306 496 371 61 332 741 1,753 266 354
20 7 39 28 267 106 63 67 129 156 138 131 99 33 92 115 50 68 59 14 30 97 509 31 103
3 0 3 1 10 4 5 7 4 14 8 10 6 2 4 10 8 9 6 3 2 7 2 4 9
Lincoln ............................................... McCook ............................................. Meade................................................. Minnehaha......................................... Pennington ........................................ Turner................................................. Union .................................................
7 5 30 20 59 6 11
0 0 0 0 0 0 0
1 1 6 5 24 1 2
0 0 0 2 4 0 1
6 4 24 13 31 5 8
75 28 130 268 432 26 35
28 4 16 96 95 8 9
42 24 103 159 320 14 25
5 0 11 13 17 4 1
0 0 0 1 2 3 1
Beadle ................................................ Bennett............................................... Bon Homme ...................................... Brookings .......................................... Brown................................................. Campbell............................................ Charles Mix ....................................... Clay..................................................... Codington .......................................... Corson................................................ Custer ................................................. Davison .............................................. Deuel.................................................. Dewey ................................................ Edmunds............................................ Hamlin ............................................... Hanson ............................................... Harding .............................................. Hughes ............................................... Hutchinson ........................................ Kingsbury .......................................... Lawrence ........................................... Marshall ............................................. McPherson......................................... Miner.................................................. Moody ................................................ Perkins ............................................... Roberts .............................................. Spink ..................................................
2 6 1 0 5 1 6 1 3 0 1 1 2 4 0 2 1 0 3 0 2 9 4 0 1 5 0 3 4
0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 3 1 0 0 1 0 0 0 1 1 0 1 0 0 2 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
2 6 1 0 2 0 6 1 1 0 1 1 1 3 0 1 1 0 1 0 2 8 4 0 1 5 0 3 3
36 2 0 36 44 4 16 31 32 20 8 15 36 6 0 30 9 0 9 6 0 63 55 1 32 34 4 1 45
3 0 0 2 21 1 7 5 6 6 0 4 12 1 0 19 2 0 4 6 0 27 22 1 20 6 2 1 13
32 2 0 32 17 3 9 25 25 12 8 9 21 3 0 11 6 0 5 0 0 30 30 0 11 28 2 0 29
1 0 0 2 6 0 0 1 1 2 0 2 3 2 0 0 1 0 0 0 0 6 3 0 1 0 0 0 3
0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 1 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
248
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
TENNESSEEMetropolitan Counties
TENNESSEENonmetropolitan Counties
1 The
County
Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Sully.................................................... Tripp ................................................... Yankton.............................................. Ziebach ..............................................
0 0 3 0
0 0 0 0
0 0 1 0
0 0 0 0
0 0 2 0
2 12 29 4
1 1 11 4
1 10 14 0
0 1 4 0
0 0 0 0
Anderson ........................................... Blount ................................................ Bradley............................................... Cannon............................................... Carter ................................................. Cheatham........................................... Chester ............................................... Dickson .............................................. Fayette................................................ Grainger............................................. Hamblen ............................................ Hamilton............................................ Hartsville-Trousdale ......................... Hawkins ............................................. Hickman............................................. Jefferson............................................. Knox ................................................... Loudon............................................... Macon................................................. Madison ............................................. Montgomery...................................... Polk..................................................... Robertson .......................................... Rutherford......................................... Sequatchie ......................................... Shelby................................................. Stewart ............................................... Sullivan .............................................. Sumner ............................................... Tipton ................................................. Unicoi................................................. Union ................................................. Washington ........................................ Williamson......................................... Wilson ................................................
164 300 349 20 55 100 25 124 131 32 116 344 37 93 60 104 519 78 56 218 168 40 73 216 32 489 38 323 159 219 32 33 268 61 209
1 0 2 0 1 0 0 0 0 1 1 2 0 1 0 1 5 1 2 2 2 0 0 2 0 6 0 2 0 2 0 0 1 2 1
10 29 11 0 0 5 2 14 5 0 7 24 1 13 8 8 22 2 1 18 9 1 9 20 2 32 1 31 31 8 0 1 6 2 5
5 18 9 0 3 2 1 4 10 4 16 17 4 6 4 4 106 10 1 15 8 3 2 11 1 80 1 19 3 10 0 5 8 4 7
148 253 327 20 51 93 22 106 116 27 92 301 32 73 48 91 386 65 52 183 149 36 62 183 29 371 36 271 125 199 32 27 253 53 196
1,021 1,661 1,064 116 654 545 131 766 579 437 724 1,942 170 1,104 480 827 5,761 681 223 920 770 289 482 1,309 94 3,555 156 1,980 744 661 107 384 1,052 620 959
387 585 249 51 216 148 33 267 182 166 284 516 45 381 172 291 1,515 175 53 313 247 75 160 374 37 1,122 68 623 221 214 15 170 364 166 355
533 911 725 48 389 312 85 407 300 234 394 1,309 114 614 264 461 3,743 433 149 507 462 180 289 787 48 2,140 73 1,172 476 345 83 174 615 414 507
101 165 90 17 49 85 13 92 97 37 46 117 11 109 44 75 503 73 21 100 61 34 33 148 9 293 15 185 47 102 9 40 73 40 97
13 10 14 0 11 1 0 11 4 1 10 4 2 10 4 4 26 8 4 4 4 1 1 8 2 22 3 28 8 5 0 1 22 2 14
Bedford .............................................. Benton................................................ Bledsoe .............................................. Campbell............................................ Carroll ................................................ Claiborne ........................................... Clay..................................................... Cocke ................................................. Coffee................................................. Crockett ............................................. Cumberland....................................... Decatur .............................................. DeKalb............................................... Dyer.................................................... Fentress .............................................. Franklin.............................................. Gibson................................................ Giles ................................................... Greene ............................................... Grundy ............................................... Hancock ............................................. Hardeman.......................................... Hardin ................................................ Haywood............................................ Henderson ......................................... Henry ................................................. Houston ............................................. Humphreys ........................................ Johnson .............................................. Lake....................................................
51 45 26 83 39 108 4 99 55 13 78 36 34 38 46 37 57 68 219 129 7 102 98 39 86 68 24 25 89 6
1 1 2 0 0 0 0 2 0 0 1 0 0 0 1 0 0 0 0 0 0 1 1 2 3 1 0 0 0 0
1 1 2 3 1 5 0 4 0 4 4 5 0 3 0 2 3 3 12 4 0 5 7 1 2 3 0 1 0 1
1 1 0 6 4 7 0 8 3 2 5 0 1 3 0 4 3 0 15 0 1 9 2 8 4 2 0 0 1 0
48 42 22 74 34 96 4 85 52 7 68 31 33 32 45 31 51 65 192 125 6 87 88 28 77 62 24 24 88 5
266 215 91 940 211 721 107 706 490 128 1,077 196 367 366 339 310 309 289 1,158 142 151 421 542 204 311 503 149 155 184 32
78 80 19 275 70 292 40 292 59 25 386 56 131 122 143 75 112 134 387 66 65 155 214 79 102 194 68 38 81 2
162 120 46 566 121 374 57 337 387 82 588 114 192 219 165 200 159 134 669 33 82 209 282 96 177 274 71 101 83 28
26 15 26 99 20 55 10 77 44 21 103 26 44 25 31 35 38 21 102 43 4 57 46 29 32 35 10 16 20 2
4 0 2 10 1 9 2 7 0 0 12 1 2 0 4 11 2 0 18 6 2 3 3 2 0 0 1 1 11 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 249 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
TEXASMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Lauderdale ........................................ Lawrence ........................................... Lewis .................................................. Lincoln ............................................... Marshall ............................................. Maury ................................................. McNairy ............................................. Meigs .................................................. Monroe .............................................. Moore................................................. Morgan............................................... Obion ................................................. Overton.............................................. Perry ................................................... Pickett ................................................ Putnam ............................................... Rhea ................................................... Roane ................................................. Scott.................................................... Sevier.................................................. Van Buren.......................................... Warren ............................................... Wayne................................................. Weakley ............................................. White ..................................................
51 154 34 128 57 172 43 42 111 11 19 27 23 30 4 105 60 152 127 140 3 43 29 53 61
0 1 0 0 0 2 2 0 1 0 0 0 1 0 0 2 3 2 1 5 1 0 0 0 0
4 10 3 2 2 18 5 5 4 4 1 3 1 1 0 8 8 16 3 12 0 0 0 2 4
2 4 0 0 1 16 3 0 1 0 1 3 0 0 0 3 0 7 1 6 0 2 1 3 0
45 139 31 126 54 136 33 37 105 7 17 21 21 29 4 92 49 127 122 117 2 41 28 48 57
351 589 150 505 219 900 420 312 655 84 271 215 312 165 99 610 411 1,078 544 2,197 44 434 97 236 350
115 217 50 208 55 264 139 118 252 13 94 47 110 43 14 132 76 305 142 1,119 5 132 38 70 100
189 307 85 257 148 547 242 160 344 68 147 155 181 97 83 434 305 662 359 942 32 263 49 138 211
47 65 15 40 16 89 39 34 59 3 30 13 21 25 2 44 30 111 43 136 7 39 10 28 39
6 8 5 10 3 9 3 0 7 1 2 2 0 3 0 2 2 3 4 1 1 4 2 2 2
Aransas .............................................. Armstrong ......................................... Atascosa............................................. Austin ................................................. Bandera.............................................. Bastrop............................................... Bell ..................................................... Bexar .................................................. Bowie ................................................. Brazoria ............................................. Brazos................................................. Burleson............................................. Caldwell ............................................. Calhoun.............................................. Callahan ............................................. Cameron ............................................ Carson ................................................ Chambers........................................... Clay..................................................... Collin.................................................. Comal ................................................. Coryell................................................ Crosby ................................................ Dallas ................................................. Delta................................................... Denton ............................................... Ector................................................... Ellis..................................................... El Paso ............................................... Fort Bend........................................... Galveston........................................... Goliad ................................................ Grayson.............................................. Gregg.................................................. Guadalupe ......................................... Hardin ................................................ Harris ................................................. Hays.................................................... Hidalgo .............................................. Hunt ................................................... Irion.................................................... Jefferson............................................. Johnson .............................................. Jones ................................................... Kaufman ............................................ Kendall...............................................
27 1 22 15 46 108 74 542 124 85 30 34 37 14 2 201 5 124 15 73 129 18 0 45 10 115 53 170 226 784 147 8 26 103 107 30 6,731 78 833 36 0 27 177 24 206 24
2 0 3 0 0 1 2 8 3 3 0 0 0 0 0 2 0 2 2 1 0 1 0 0 1 1 2 1 3 10 5 0 2 2 0 1 65 1 14 0 0 0 1 1 3 1
6 1 0 0 7 2 19 62 12 0 3 8 2 0 1 12 1 5 5 14 18 0 0 6 0 5 10 5 21 38 15 0 5 27 11 9 354 25 64 0 0 5 0 4 6 7
4 0 1 0 2 13 7 93 11 30 3 1 2 0 1 23 0 7 0 1 9 0 0 9 1 11 11 10 29 136 23 6 1 13 8 1 1,987 8 150 10 0 5 13 0 17 0
15 0 18 15 37 92 46 379 98 52 24 25 33 14 0 164 4 110 8 57 102 17 0 30 8 98 30 154 173 600 104 2 18 61 88 19 4,325 44 605 26 0 17 163 19 180 16
562 6 298 152 302 981 791 6,737 640 1,402 367 69 223 175 30 1,845 16 518 207 792 857 134 0 419 124 952 1,039 1,105 1,282 3,009 900 54 689 943 653 404 48,319 744 6,598 1,088 13 479 1,379 109 1,758 178
198 1 99 53 112 422 259 2,126 182 522 140 33 94 66 21 828 6 216 59 338 319 69 0 108 49 258 250 387 361 1,035 365 21 251 199 234 126 13,286 294 2,332 389 3 139 469 40 678 41
345 5 181 92 176 492 488 4,165 369 753 209 22 122 97 8 858 7 270 134 390 490 60 0 255 69 649 676 597 808 1,666 474 28 376 631 387 206 28,382 425 3,657 590 10 279 790 63 879 122
19 0 18 7 14 67 44 446 89 127 18 14 7 12 1 159 3 32 14 64 48 5 0 56 6 45 113 121 113 308 61 5 62 113 32 72 6,651 25 609 109 0 61 120 6 201 15
1 0 3 0 5 5 9 106 6 0 1 1 1 4 1 11 0 4 0 3 6 0 0 12 1 7 0 4 20 23 19 1 3 3 1 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
0 149 4 0 3 20 0 23 2
250
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
TEXASNonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Lampasas ........................................... Liberty................................................ Lubbock ............................................. McLennan.......................................... Medina ............................................... Midland.............................................. Montgomery...................................... Nueces................................................ Orange ............................................... Parker................................................. Potter.................................................. Randall............................................... Robertson .......................................... Rockwall ............................................ Rusk ................................................... San Jacinto ......................................... San Patricio........................................ Smith .................................................. Tarrant................................................ Taylor ................................................. Tom Green......................................... Travis .................................................. Upshur ............................................... Victoria .............................................. Waller ................................................. Webb .................................................. Wichita ............................................... Williamson......................................... Wilson ................................................ Wise ....................................................
9 184 104 114 60 88 841 72 112 79 18 52 24 51 86 58 28 332 129 26 21 262 56 58 27 56 10 161 42 120
1 4 0 2 0 0 9 0 0 3 0 0 0 0 0 3 0 6 1 0 0 1 0 3 1 3 0 1 1 1
0 10 10 31 8 11 67 13 11 11 3 4 2 6 7 0 3 46 35 4 2 22 10 5 8 0 0 27 3 5
0 11 4 8 1 5 131 7 12 4 1 4 2 1 2 4 5 28 19 2 1 40 3 2 0 14 1 10 1 3
8 159 90 73 51 72 634 52 89 61 14 44 20 44 77 51 20 252 74 20 18 199 43 48 18 39 9 123 37 111
69 1,191 742 855 320 524 7,424 394 785 1,091 238 328 135 248 598 523 356 1,828 1,225 182 266 3,435 773 462 261 299 135 1,632 197 582
26 439 377 336 148 188 2,064 127 301 333 72 87 59 95 231 193 95 662 391 79 74 1,064 291 127 107 111 66 422 72 187
41 584 282 444 155 316 4,695 245 400 667 141 202 68 143 301 259 229 961 748 83 173 2,157 412 307 119 143 61 1,129 108 385
2 168 83 75 17 20 665 22 84 91 25 39 8 10 66 71 32 205 86 20 19 214 70 28 35 45 8 81 17 10
1 14 3 7 0 2 30 1 3 0 0 5 0 1 3 4 0 30 0 1 0 13 2 1 0 1 1 20 2 0
Anderson ........................................... Andrews............................................. Angelina ............................................ Bailey ................................................. Baylor................................................. Bee...................................................... Blanco ................................................ Borden ............................................... Bosque ............................................... Brewster............................................. Briscoe ............................................... Brooks................................................ Brown................................................. Burnet ................................................ Camp .................................................. Cass..................................................... Castro ................................................. Cherokee ........................................... Childress ............................................ Cochran.............................................. Coke ................................................... Coleman............................................. Collingsworth .................................... Colorado ............................................ Comanche.......................................... Concho ............................................... Cooke ................................................. Cottle.................................................. Crane.................................................. Crockett ............................................. Culberson .......................................... Dallam................................................ Dawson .............................................. Deaf Smith......................................... Dewitt................................................. Dickens .............................................. Dimmit ............................................... Donley................................................ Duval.................................................. Eastland ............................................. Edwards .............................................
70 4 189 5 0 28 8 0 22 15 0 0 27 64 10 22 8 76 2 4 0 1 0 11 3 3 51 0 1 16 4 4 5 11 11 2 34 8 11 2 7
3 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0
13 1 9 1 0 3 0 0 7 0 0 0 4 6 0 6 0 13 0 0 0 0 0 2 1 0 5 0 0 3 0 0 0 1 0 0 1 0 0 0 1
4 0 12 0 0 2 1 0 1 1 0 0 1 3 1 4 1 1 0 0 0 0 0 1 0 0 2 0 0 0 0 0 1 0 0 0 3 1 0 0 0
50 3 164 4 0 22 7 0 14 14 0 0 22 55 9 12 7 61 2 4 0 1 0 8 2 3 43 0 1 13 4 4 4 10 11 2 28 7 11 2 6
432 94 458 23 15 144 39 4 92 20 5 14 169 297 192 274 71 486 15 71 10 48 3 160 88 17 276 1 39 29 10 27 30 83 60 0 329 46 135 81 22
215 18 174 11 5 48 16 1 29 9 2 3 79 105 42 113 27 182 7 25 8 18 1 37 26 5 122 0 9 8 3 12 9 28 17 0 130 11 44 22 10
186 72 243 10 7 90 21 3 63 10 2 10 79 164 141 124 35 249 6 44 2 29 2 114 55 9 124 1 30 14 7 12 13 50 34 0 157 31 79 52 10
31 4 41 2 3 6 2 0 0 1 1 1 11 28 9 37 9 55 2 2 0 1 0 9 7 3 30 0 0 7 0 3 8 5 9 0 42 4 12 7 2
1 0 0 0 0 0 0 0 0 0 0 0 3 7 1 1 0 4 0 0 0 0 0 1 1 1 1 0 0 0 0 1 0 1 1 0 1 0 2 1 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 251 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Erath................................................... Falls..................................................... Fannin................................................. Fayette................................................ Fisher.................................................. Floyd .................................................. Foard .................................................. Franklin.............................................. Freestone ........................................... Frio ..................................................... Gaines ................................................ Garza.................................................. Gillespie ............................................. Glasscock ........................................... Gonzales ............................................ Gray.................................................... Grimes................................................ Hale .................................................... Hall ..................................................... Hamilton............................................ Hansford ............................................ Hardeman.......................................... Harrison ............................................. Hartley ............................................... Haskell ............................................... Hemphill ............................................ Henderson ......................................... Hill...................................................... Hockley.............................................. Hood .................................................. Hopkins.............................................. Houston ............................................. Howard .............................................. Hudspeth ........................................... Hutchinson ........................................ Jack ..................................................... Jackson ............................................... Jasper.................................................. Jeff Davis ........................................... Jim Hogg............................................ Jim Wells ............................................ Karnes ................................................ Kenedy ............................................... Kent.................................................... Kerr .................................................... Kimble................................................ King .................................................... Kinney................................................ Kleberg .............................................. Knox ................................................... La Salle .............................................. Lamar ................................................. Lamb .................................................. Lavaca ................................................ Lee...................................................... Leon ................................................... Limestone .......................................... Lipscomb ........................................... Live Oak ............................................ Llano .................................................. Loving ................................................ Lynn.................................................... Madison ............................................. Marion................................................ Martin................................................. Mason................................................. Matagorda ......................................... Maverick ............................................ McCulloch ......................................... McMullen........................................... Menard............................................... Milam ................................................. Mills.................................................... 1 The
Violent crime
34 23 26 3 9 5 0 11 15 8 4 7 5 0 14 9 15 11 2 24 3 6 104 3 4 7 203 10 6 39 39 14 17 7 12 3 15 14 0 12 113 13 2 3 24 1 0 5 22 2 9 63 5 11 17 27 46 3 4 17 1 1 12 41 0 4 43 180 16 2 1 17 7
Murder and nonnegligent manslaughter 5 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0
Forcible rape
3 4 4 0 4 0 0 3 0 0 0 2 1 0 1 0 0 0 0 2 0 0 3 0 1 0 3 2 1 0 2 1 2 0 2 0 1 1 0 0 7 3 0 0 4 0 0 0 2 1 0 4 0 1 4 2 4 1 0 4 0 0 0 11 0 1 0 13 1 0 0 1 0
Robbery
0 2 2 1 1 0 0 0 1 0 1 1 0 0 1 1 4 0 0 1 0 0 4 0 1 0 14 3 0 1 1 1 0 2 1 0 0 0 0 0 4 0 0 0 2 0 0 2 0 0 0 1 2 1 0 2 0 0 0 3 0 0 1 3 0 0 4 0 0 0 0 2 1
Aggravated assault
Property crime
26 17 20 2 4 5 0 8 13 8 3 4 4 0 11 8 11 11 2 21 3 6 96 3 2 7 182 5 5 38 36 12 14 5 9 3 14 13 0 12 101 10 2 3 18 1 0 3 20 1 9 58 3 9 13 22 42 2 3 10 1 1 11 27 0 3 38 167 15 1 1 13 6
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
147 100 256 148 63 19 4 140 123 54 52 75 110 0 46 104 354 120 9 110 22 83 806 18 28 75 1,120 286 93 621 207 155 102 41 76 32 71 84 13 78 456 79 3 13 351 11 0 9 724 13 88 347 90 56 86 118 226 15 55 240 19 15 120 263 27 34 284 595 34 2 3 149 34
Burglary
44 33 116 44 28 10 2 43 41 30 13 13 24 0 17 27 114 46 4 39 12 40 335 8 14 17 481 107 30 207 77 68 40 21 26 11 12 34 7 26 222 22 0 3 117 8 0 1 25 7 21 120 18 24 33 39 91 7 19 72 5 2 45 134 6 4 101 234 4 0 0 59 7
Larcenytheft
94 57 127 95 33 9 2 82 71 21 28 57 82 0 28 71 217 60 3 65 10 36 429 9 12 58 527 152 61 370 112 75 53 16 41 12 54 46 6 43 199 55 3 8 208 3 0 8 697 6 67 198 63 29 50 71 118 8 31 154 13 13 62 105 21 29 166 327 26 1 2 77 26
Motor vehicle theft
9 10 13 9 2 0 0 15 11 3 11 5 4 0 1 6 23 14 2 6 0 7 42 1 2 0 112 27 2 44 18 12 9 4 9 9 5 4 0 9 35 2 0 2 26 0 0 0 2 0 0 29 9 3 3 8 17 0 5 14 1 0 13 24 0 1 17 34 4 1 1 13 1
Arson1
0 0 3 2 0 0 0 0 1 0 0 0 0 0 0 0 5 0 0 0 2 0 0 0 0 1 2 1 0 7 3 3 4 0 0 0 0 0 0 0 6 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 3 0 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0
252
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
UTAHMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Mitchell .............................................. Montague........................................... Moore................................................. Morris................................................. Motley ................................................ Nacogdoches ..................................... Navarro .............................................. Newton............................................... Nolan.................................................. Ochiltree ............................................ Oldham .............................................. Palo Pinto .......................................... Panola ................................................ Parmer................................................ Pecos................................................... Polk..................................................... Presidio .............................................. Rains .................................................. Reagan ............................................... Real .................................................... Red River .......................................... Reeves................................................ Refugio .............................................. Roberts .............................................. Runnels .............................................. Sabine................................................. San Augustine.................................... San Saba............................................. Schleicher........................................... Scurry ................................................. Shackelford........................................ Shelby................................................. Sherman ............................................. Somervell ........................................... Starr.................................................... Stephens............................................. Sterling ............................................... Stonewall ........................................... Sutton ................................................. Swisher ............................................... Terrell ................................................. Terry ................................................... Throckmorton ................................... Titus.................................................... Trinity ................................................. Tyler.................................................... Upton ................................................. Uvalde................................................ Val Verde ........................................... Van Zandt .......................................... Walker ................................................ Ward ................................................... Washington ........................................ Wharton ............................................. Wheeler.............................................. Wilbarger ........................................... Willacy................................................ Winkler .............................................. Wood .................................................. Yoakum.............................................. Young ................................................. Zapata ................................................ Zavala.................................................
1 10 4 18 0 115 29 21 5 9 5 9 67 1 8 63 1 17 1 2 28 16 18 2 0 47 14 3 0 6 1 38 0 3 80 1 1 5 6 9 1 3 3 62 26 60 6 27 6 79 60 18 32 72 6 4 13 5 174 9 14 28 15
0 0 0 0 0 2 2 1 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 4 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2 1 0 1 0 0 0 1 0 5 0 0 1 0
0 0 1 3 0 17 7 4 2 2 1 0 7 0 0 20 0 4 0 0 0 4 0 0 0 1 3 0 0 1 0 5 0 0 13 0 1 0 2 1 0 1 2 9 4 3 0 7 1 0 13 1 1 0 0 1 2 0 0 2 1 1 2
0 0 1 0 0 4 2 1 0 0 0 0 3 0 0 4 1 1 0 0 0 0 1 1 0 1 1 0 0 0 0 5 0 1 7 0 0 0 0 0 0 1 0 2 5 4 0 4 1 4 5 1 0 6 0 0 1 0 1 0 0 2 0
1 10 2 15 0 92 18 15 3 7 4 9 57 1 5 38 0 12 1 2 28 12 17 1 0 43 10 3 0 5 1 26 0 2 56 1 0 5 4 8 0 1 1 51 17 53 6 16 3 73 41 16 30 66 6 3 9 5 168 7 13 24 13
23 190 56 124 12 383 579 192 50 48 33 123 370 52 20 829 2 131 11 18 116 92 53 27 17 144 116 19 11 54 9 215 0 95 362 46 5 12 19 37 13 19 4 285 139 279 13 175 149 767 410 117 115 479 50 19 134 49 514 50 76 239 109
4 67 24 54 9 134 242 36 20 10 5 52 95 27 8 265 0 36 3 10 34 29 14 2 4 50 45 9 4 24 3 83 0 27 173 14 1 4 5 13 8 8 0 99 58 157 2 61 33 293 143 34 49 236 16 7 56 9 170 12 27 93 58
18 113 25 54 3 215 302 142 24 32 26 53 230 22 12 492 2 73 7 7 72 61 34 24 12 84 55 9 7 26 5 111 0 63 128 29 4 7 13 20 2 9 4 162 64 99 10 105 103 383 233 77 62 213 29 10 77 38 317 36 43 114 45
1 10 7 16 0 34 35 14 6 6 2 18 45 3 0 72 0 22 1 1 10 2 5 1 1 10 16 1 0 4 1 21 0 5 61 3 0 1 1 4 3 2 0 24 17 23 1 9 13 91 34 6 4 30 5 2 1 2 27 2 6 32 6
0 2 0 0 0 4 7 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 4 2 8 0 2 1 2 1 1 1 3 0 0 2 1 3 0 0 2 2
Cache.................................................. Davis................................................... Juab .................................................... Morgan............................................... Salt Lake ............................................ Summit ............................................... Tooele................................................. Utah.................................................... Washington ........................................ Weber .................................................
28 27 3 2 675 13 15 18 18 50
0 0 0 0 9 0 0 0 1 1
18 3 1 0 91 6 7 1 1 7
2 0 0 0 121 4 1 0 2 8
8 24 2 2 454 3 7 17 14 34
575 196 97 71 9,071 725 243 407 187 1,227
146 81 36 15 1,856 102 76 121 69 267
411 99 54 54 6,265 589 155 261 104 888
18 16 7 2 950 34 12 25 14 72
1 2 1 0 30 0 0 3 1 5
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 253 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
UTAHNonmetropolitan Counties
VERMONTMetropolitan Counties
VERMONTNonmetropolitan Counties
VIRGINIAMetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Beaver ................................................ Box Elder........................................... Carbon ............................................... Daggett............................................... Emery................................................. Grand ................................................. Iron ..................................................... Kane ................................................... Millard................................................ Rich .................................................... San Juan ............................................. Sevier.................................................. Uintah ................................................ Wasatch .............................................. Wayne.................................................
12 3 21 0 6 5 23 4 30 8 7 11 33 6 8
1 0 0 0 0 0 0 1 0 0 0 0 0 0 1
2 2 8 0 0 0 6 1 2 0 0 1 7 1 0
0 0 0 0 2 0 3 0 0 0 0 1 0 0 0
9 1 13 0 4 5 14 2 28 8 7 9 26 5 7
95 222 136 10 174 60 181 50 247 58 24 195 253 162 42
24 61 46 6 56 20 65 36 51 21 5 40 52 23 5
66 154 74 4 110 34 93 14 183 37 19 141 174 130 31
5 7 16 0 8 6 23 0 13 0 0 14 27 9 6
0 0 7 0 0 0 1 0 3 0 0 0 2 0 0
Chittenden ......................................... Franklin.............................................. Grand Isle ..........................................
0 19 1
0 0 0
0 3 0
0 2 0
0 14 1
0 218 49
0 40 9
0 166 38
0 12 2
0 2 0
Addison.............................................. Bennington ........................................ Caledonia........................................... Lamoille ............................................. Orange ............................................... Orleans............................................... Rutland .............................................. Washington ........................................ Windham............................................ Windsor..............................................
0 0 0 10 0 1 2 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0
0 0 0 8 0 1 2 0 0 0
0 0 2 95 29 29 124 0 5 0
0 0 1 17 4 5 3 0 1 0
0 0 1 73 24 24 120 0 4 0
0 0 0 5 1 0 1 0 0 0
0 0 0 1 0 0 0 0 0 0
152 17 49 18
1 0 1 0
24 2 10 2
45 1 17 4
82 14 21 12
2,034 176 463 130
304 42 40 25
1,639 95 395 88
91 39 28 17
26 1 5 2
328 56 21 76 63 8
2 2 1 0 4 0
26 7 3 12 7 1
150 8 5 10 12 1
150 39 12 54 40 6
4,208 737 348 825 432 20
396 129 55 163 103 10
3,520 564 278 607 328 8
292 44 15 55 1 2
5 4 3 3 2 0
683 23 3 20 63
10 0 0 1 5
73 2 0 2 12
327 1 1 1 14
273 20 2 16 32
7,261 187 24 54 408
1,636 36 10 20 95
5,123 135 13 22 267
502 16 1 12 46
105 3 13 1 2
865 76 25 34 94 13 34 65 30 49
15 4 0 1 0 0 1 4 0 0
69 11 2 9 40 3 9 3 5 6
480 5 2 2 12 0 6 1 2 20
301 56 21 22 42 10 18 57 23 23
16,574 715 208 564 1,502 166 553 154 261 1,085
1,369 131 56 92 284 35 53 26 45 111
13,988 520 135 427 1,078 116 476 109 204 929
1,217 64 17 45 140 15 24 19 12 45
136 8 1 0 4 2 10 2 3 4
568 26
13 0
33 2
331 7
191 17
8,557 466
1,362 115
6,662 290
533 61
123 4
92 8 11 167
2 0 1 0
11 2 0 38
16 0 2 34
63 6 8 95
863 48 74 2,803
160 20 18 273
653 23 55 2,315
50 5 1 215
18 1 1 48
Albemarle County Police Department ....................................... Amelia................................................ Amherst ............................................. Appomattox ...................................... Arlington County Police Department ....................................... Bedford .............................................. Botetourt ........................................... Campbell............................................ Caroline ............................................. Charles City....................................... Chesterfield County Police Department ....................................... Clarke................................................. Craig ................................................... Cumberland....................................... Dinwiddie .......................................... Fairfax County Police Department ....................................... Fauquier ............................................. Fluvanna ............................................ Franklin.............................................. Frederick............................................ Giles ................................................... Gloucester ......................................... Goochland ......................................... Greene ............................................... Hanover ............................................. Henrico County Police Department ....................................... Isle of Wight ...................................... James City County Police Department ....................................... King and Queen................................ King William...................................... Loudoun ............................................
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
254
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Louisa................................................. Mathews............................................. Montgomery...................................... Nelson ................................................ New Kent........................................... Powhatan ........................................... Prince George County Police Department ....................................... Prince William County Police Department ....................................... Pulaski................................................ Roanoke County Police Department ....................................... Rockingham ...................................... Scott.................................................... Spotsylvania ...................................... Surry ................................................... Sussex ................................................. Warren ............................................... Washington ........................................ York.................................................... VIRGINIANonmetropolitan Counties
WASHINGTONMetropolitan Counties
1 The
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
35 6 53 13 27 12
3 0 0 1 0 0
8 0 14 3 3 4
2 1 5 1 2 0
22 5 34 8 22 8
442 148 590 305 234 250
81 34 182 55 35 67
333 107 374 224 174 168
28 7 34 26 25 15
8 0 12 0 2 0
56
0
11
16
29
442
71
323
48
8
629 14
10 0
23 5
277 3
319 6
7,125 574
1,010 85
5,496 471
619 18
107 3
194 22 26 283 22 23 18 90 76
1 0 2 5 0 0 1 0 1
22 6 1 28 4 1 3 20 11
24 1 1 34 3 5 3 9 27
147 15 22 216 15 17 11 61 37
1,109 315 410 1,892 82 202 288 1,317 1,190
255 113 116 127 44 87 39 248 155
809 200 271 1,692 36 105 228 1,016 991
45 2 23 73 2 10 21 53 44
14 0 11 12 1 1 6 6 22
Accomack .......................................... Alleghany .......................................... Augusta .............................................. Bland .................................................. Brunswick .......................................... Buchanan ........................................... Buckingham....................................... Carroll ................................................ Charlotte............................................ Culpeper ............................................ Dickenson.......................................... Essex................................................... Floyd .................................................. Grayson.............................................. Greensville......................................... Halifax................................................ Henry ................................................. King George ...................................... Lancaster ........................................... Lee...................................................... Lunenburg ......................................... Madison ............................................. Mecklenburg ..................................... Middlesex .......................................... Northampton..................................... Northumberland ............................... Nottoway ........................................... Orange ............................................... Page .................................................... Patrick ................................................ Rappahannock .................................. Richmond .......................................... Rockbridge ........................................ Russell................................................ Smyth ................................................. Southampton ..................................... Tazewell ............................................. Westmoreland ................................... Wise .................................................... Wythe .................................................
75 11 76 4 21 44 15 40 20 18 17 8 12 14 29 18 166 41 13 28 12 12 47 9 26 7 10 32 27 27 3 10 14 30 36 38 54 18 62 24
5 3 1 0 1 1 1 4 0 0 4 0 0 0 0 2 3 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 0 0 1 2 2 0 1 0
8 1 12 0 0 3 0 5 1 3 3 1 3 2 3 1 18 5 2 0 0 2 5 2 3 0 1 6 13 6 0 2 2 7 7 2 11 3 6 2
31 1 11 3 5 7 1 3 3 6 1 0 0 2 4 1 28 8 2 2 3 1 4 1 8 2 1 2 1 3 1 0 1 3 4 7 7 2 1 2
31 6 52 1 15 33 13 28 16 9 9 7 9 10 22 14 117 28 9 25 8 9 37 6 14 5 7 24 13 18 2 8 11 20 24 27 34 13 54 20
601 97 814 69 132 541 163 368 147 219 247 83 168 125 287 300 1,351 382 114 508 73 192 478 117 173 123 108 238 227 447 47 54 308 308 364 346 501 208 421 161
169 31 193 29 34 146 75 91 41 44 33 25 64 39 99 90 365 62 28 159 21 35 125 30 53 36 20 50 90 121 19 5 63 95 69 93 108 35 126 28
369 60 556 37 77 352 73 241 88 156 204 51 89 73 172 189 878 290 81 344 34 133 315 78 101 82 77 171 125 271 25 44 230 184 275 238 374 159 257 128
63 6 65 3 21 43 15 36 18 19 10 7 15 13 16 21 108 30 5 5 18 24 38 9 19 5 11 17 12 55 3 5 15 29 20 15 19 14 38 5
1 1 4 0 4 15 1 7 1 1 1 1 1 2 0 0 7 1 1 0 2 2 8 2 2 1 2 2 7 0 0 0 0 8 7 2 4 3 21 1
Asotin................................................. Benton................................................ Chelan ................................................ Clark................................................... Cowlitz ............................................... Douglas .............................................. Franklin.............................................. King ....................................................
15 59 40 271 47 41 13 685
0 3 1 2 0 2 0 16
0 7 15 76 13 4 2 121
3 1 3 46 1 6 2 212
12 48 21 147 33 29 9 336
143 647 886 4,125 684 549 192 7,900
39 226 153 801 242 135 51 2,466
94 381 698 2,757 371 376 118 4,170
10 40 35 567 71 38 23 1,264
0 9 3 57 6 4 4 158
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 255 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
WASHINGTONNonmetropolitan Counties
WEST VIRGINIAMetropolitan Counties
WEST VIRGINIANonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Larcenytheft
Motor vehicle theft
Arson1
Kitsap ................................................. Pierce6 ................................................ Skagit.................................................. Skamania ........................................... Spokane ............................................. Thurston............................................. Whatcom............................................ Yakima ...............................................
581 1,099 82 27 331 244 157 119
1 6 1 0 1 3 0 4
114 94 25 8 7 21 45 30
41 187 8 2 21 27 8 29
425 812 48 17 302 193 104 56
3,556 10,419 1,648 254 2,286 2,631 1,520 2,747
992 2,743 508 53 576 778 540 989
2,329 5,824 1,024 186 1,443 1,577 857 1,289
235 1,852 116 15 267 276 123 469
36 82 18 1 10 21 8 55
Adams ................................................ Clallam ............................................... Columbia ........................................... Ferry ................................................... Garfield.............................................. Grant .................................................. Grays Harbor .................................... Island.................................................. Jefferson............................................. Kittitas................................................ Klickitat ............................................. Lewis .................................................. Lincoln ............................................... Mason................................................. Okanogan .......................................... Pacific ................................................. Pend Oreille ...................................... San Juan ............................................. Stevens ............................................... Wahkiakum ....................................... Walla Walla........................................ Whitman ............................................
16 71 2 3 3 86 36 36 51 15 4 62 4 137 37 21 6 9 38 9 17 13
1 0 0 1 0 2 1 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0
6 24 0 0 0 8 4 13 5 2 0 11 2 31 11 2 1 2 10 2 6 10
2 1 0 0 0 13 4 2 2 2 0 5 1 13 2 2 1 1 3 0 0 0
7 46 2 2 3 63 27 21 44 11 3 45 1 93 24 17 3 6 24 7 11 3
297 696 177 27 48 1,634 561 1,181 520 592 160 847 199 1,747 470 408 413 220 724 47 385 89
87 170 33 9 10 478 202 374 157 174 113 286 44 560 133 155 93 60 256 19 94 17
187 477 138 17 37 984 292 767 332 384 15 483 147 979 306 218 294 136 403 21 266 64
23 49 6 1 1 172 67 40 31 34 32 78 8 208 31 35 26 24 65 7 25 8
7 4 1 0 0 19 5 1 1 1 0 10 0 8 2 0 0 2 2 0 0 0
Berkeley............................................. Boone ................................................. Brooke ............................................... Cabell ................................................. Hampshire ......................................... Hancock ............................................. Jefferson............................................. Kanawha ............................................ Marshall ............................................. Mineral............................................... Monongalia........................................ Morgan............................................... Pleasants ............................................ Putnam ............................................... Wood ..................................................
80 26 27 41 30 4 49 170 11 57 44 13 1 66 72
3 0 1 0 0 0 0 0 0 1 0 0 0 0 3
1 3 1 6 0 0 8 12 1 0 5 0 0 13 0
19 1 0 15 1 0 3 28 0 1 3 2 0 8 2
57 22 25 20 29 4 38 130 10 55 36 11 1 45 67
1,212 87 75 810 127 21 442 1,308 219 45 465 55 10 930 432
270 26 23 221 51 6 91 473 58 14 71 20 7 162 110
880 46 47 500 66 14 295 685 139 25 370 31 3 685 299
62 15 5 89 10 1 56 150 22 6 24 4 0 83 23
15 0 3 6 6 0 9 24 3 1 2 0 0 9 10
Braxton .............................................. Fayette................................................ Greenbrier ......................................... Hardy ................................................. Harrison ............................................. Jackson ............................................... Lewis .................................................. Mason................................................. McDowell .......................................... Mercer................................................ Mingo ................................................. Monroe .............................................. Nicholas ............................................. Pendleton........................................... Pocahontas......................................... Raleigh ............................................... Randolph ........................................... Ritchie................................................ Summers ............................................ Tyler.................................................... Upshur ............................................... Wyoming............................................
13 78 9 4 56 9 3 9 16 91 2 8 42 0 3 107 10 7 13 0 6 7
0 3 0 0 2 2 0 0 0 2 0 0 0 0 0 1 0 1 0 0 0 0
0 9 1 0 0 0 0 2 0 3 0 0 7 0 0 0 1 1 0 0 0 0
0 3 0 0 2 1 0 0 3 9 0 0 3 0 0 16 1 0 1 0 1 5
13 63 8 4 52 6 3 7 13 77 2 8 32 0 3 90 8 5 12 0 5 2
35 391 151 40 483 43 29 193 80 532 1 36 418 0 18 1,219 45 45 55 1 60 217
7 159 58 13 151 4 8 6 28 203 0 11 92 0 6 272 15 14 20 0 23 152
27 194 79 27 287 23 19 163 37 282 0 22 294 0 10 850 27 27 28 1 30 58
1 38 14 0 45 16 2 24 15 47 1 3 32 0 2 97 3 4 7 0 7 7
1 8 1 1 2 0 0 1 1 1 0 0 3 0 0 15 0 0 3 0 3 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. of changes in the state/local agency’s reporting practices, figures are not comparable to previous years’ data.
6 Because
Burglary
256
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
WISCONSINMetropolitan Counties
WISCONSINNonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Brown................................................. Calumet.............................................. Chippewa ........................................... Columbia ........................................... Dane ................................................... Douglas .............................................. Eau Claire.......................................... Fond du Lac....................................... Iowa.................................................... Kenosha ............................................. Kewaunee .......................................... La Crosse ........................................... Marathon ........................................... Milwaukee ......................................... Oconto ............................................... Outagamie ......................................... Ozaukee ............................................. Pierce.................................................. Racine ................................................ Rock ................................................... Sheboygan ......................................... St. Croix ............................................. Washington ........................................ Waukesha........................................... Winnebago.........................................
49 8 13 32 66 11 11 42 9 34 7 12 73 5 1 20 21 10 17 38 38 24 24 30 17
0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 3 0 0 0 0 0
17 0 8 2 15 2 1 3 0 2 2 2 0 2 0 5 2 0 1 9 5 5 6 5 0
0 3 0 1 11 2 1 2 0 12 0 1 0 2 1 0 0 0 9 3 2 3 1 4 0
32 5 4 29 40 7 9 37 9 19 5 9 73 1 0 14 19 10 7 23 31 16 17 21 17
1,318 266 427 400 1,376 258 282 285 188 772 97 178 477 48 634 466 126 255 683 605 513 591 567 493 409
234 85 87 123 324 101 98 61 43 184 26 42 137 5 261 74 26 106 95 187 102 187 122 101 131
1,030 174 310 259 967 132 170 198 138 554 64 120 323 42 307 376 96 136 539 396 395 365 409 378 260
54 7 30 18 85 25 14 26 7 34 7 16 17 1 66 16 4 13 49 22 16 39 36 14 18
5 0 0 0 7 0 2 4 0 0 1 1 2 0 1 0 4 0 5 4 3 2 8 0 1
Adams ................................................ Ashland.............................................. Barron ................................................ Bayfield.............................................. Buffalo ............................................... Burnett ............................................... Clark................................................... Crawford............................................ Dodge................................................. Door ................................................... Dunn .................................................. Florence ............................................. Forest.................................................. Grant .................................................. Green ................................................. Green Lake ....................................... Iron ..................................................... Jackson ............................................... Jefferson............................................. Juneau ................................................ Lafayette............................................ Langlade ............................................ Lincoln ............................................... Manitowoc ......................................... Marinette ........................................... Marquette .......................................... Menominee........................................ Monroe .............................................. Oneida................................................ Pepin .................................................. Polk..................................................... Portage ............................................... Price.................................................... Richland............................................. Rusk ................................................... Sauk.................................................... Sawyer................................................ Shawano............................................. Taylor ................................................. Trempealeau...................................... Vernon................................................ Vilas.................................................... Walworth ........................................... Washburn........................................... Waupaca............................................. Waushara ........................................... Wood ..................................................
11 11 4 29 0 9 12 5 37 9 31 7 16 33 10 4 12 15 51 28 2 9 3 31 14 17 3 14 12 8 81 22 25 24 0 33 27 9 8 3 11 18 6 20 19 11 7
0 0 0 1 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 2 0 0 0 1 3 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0
0 1 2 1 0 0 0 4 5 1 4 0 0 1 3 0 1 8 7 4 1 2 1 4 3 3 0 3 4 1 14 3 0 0 0 2 4 0 4 3 4 4 5 2 6 1 2
0 0 1 2 0 0 1 0 0 0 0 0 2 0 0 0 0 3 1 0 0 0 0 2 0 0 0 0 1 0 1 1 0 0 0 6 0 1 0 0 0 0 0 0 0 0 1
11 10 1 25 0 9 11 1 31 8 27 7 14 32 5 4 11 4 43 22 1 7 2 24 8 14 3 10 7 7 66 18 25 24 0 25 22 8 4 0 7 14 1 18 13 9 4
54 49 264 186 74 432 267 154 266 224 219 115 204 195 167 111 54 298 478 280 165 268 200 285 416 118 89 264 284 24 391 348 89 151 106 614 315 531 187 100 145 210 407 212 470 341 227
29 16 111 54 18 217 47 30 73 45 61 48 56 94 46 31 22 70 167 86 40 116 69 85 184 11 19 70 119 22 153 107 41 45 28 88 93 187 64 32 39 57 75 80 130 66 64
23 27 125 115 40 194 203 119 177 172 141 62 128 89 110 79 32 195 287 171 122 145 115 185 205 80 68 164 158 0 212 229 43 96 72 497 190 312 112 62 97 140 297 128 298 255 145
2 6 28 17 16 21 17 5 16 7 17 5 20 12 11 1 0 33 24 23 3 7 16 15 27 27 2 30 7 2 26 12 5 10 6 29 32 32 11 6 9 13 35 4 42 20 18
0 0 4 2 0 2 1 0 3 0 1 1 3 1 1 0 0 1 6 0 1 1 0 3 4 0 0 0 36 0 4 0 2 0 0 0 0 0 0 1 0 0 1 2 0 0 1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 257 Table 10. Offenses Known to Law Enforcement, by State Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
WYOMINGMetropolitan Counties WYOMINGNonmetropolitan Counties
1 The
County
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Aggravated assault
Robbery
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Laramie.............................................. Natrona ..............................................
39 9
0 2
10 0
2 1
27 6
503 380
116 118
359 230
28 32
2 0
Albany................................................ Big Horn ............................................ Campbell............................................ Carbon ............................................... Converse ............................................ Crook ................................................. Fremont.............................................. Goshen ............................................... Hot Springs........................................ Johnson .............................................. Lincoln ............................................... Niobrara............................................. Park .................................................... Platte .................................................. Sheridan ............................................. Sublette .............................................. Sweetwater ........................................ Teton .................................................. Uinta................................................... Washakie............................................ Weston ...............................................
5 16 35 5 12 3 17 29 4 4 11 0 35 1 6 37 25 7 4 10 3
0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0
0 1 4 1 2 0 3 2 0 1 0 0 2 0 1 3 4 0 2 0 0
1 0 2 0 0 0 2 0 1 0 1 0 0 0 0 0 0 0 0 0 0
4 15 29 3 10 3 12 27 3 3 9 0 33 1 5 33 21 7 1 9 3
73 35 245 48 46 60 151 80 16 35 183 14 76 42 75 244 177 137 151 13 7
16 12 41 4 6 18 25 9 4 3 84 2 25 19 18 48 58 23 2 3 4
49 20 177 40 38 38 115 66 11 31 90 12 49 20 47 184 106 104 146 7 1
8 3 27 4 2 4 11 5 1 1 9 0 2 3 10 12 13 10 3 3 2
0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 3 4 1 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
258
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Number.)
State
ALABAMAState Agencies ALABAMAOther Agencies
ALASKAState Agencies
ALASKAOther Agencies
ARIZONAState Agencies ARKANSASState Agencies CALIFORNIAState Agencies
Forcible rape
Robbery
0
0
0
0
0
0
0
0
0
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0
1
0
1
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
3
0
3
0
0
0
0
0
0
0
0
0
0
1,003
11
91
42
859
4,728
1,287
2,894
547
65
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
82
0
70
12
0
3
0
0
0
3
21
0
19
2
1
Arizona Department of Public Safety ............................
3
0
0
0
3
3
0
3
0
0
State Capitol Police .................
0
0
0
0
0
24
6
18
0
0
1 97 7
0 0 0
0 0 0
0 0 0
1 97 7
8 8 81
3 1 2
5 7 76
0 0 3
0 1
0 0 0 0 1 0 0 5 0 0 1 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 1 0 0 3 0 0 1 0
8 1 0 11 37 0 15 106 2 1 7 6
0 0 0 9 1 0 2 6 0 0 0 1
8 1 0 2 35 0 13 98 1 0 7 5
0 0 0 0 1 0 0 2 1 1 0 0
2 1 1 1 15 2 1 1 3 0 0 1 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 4 1 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
2 0 1 1 11 1 1 1 1 0 0 1 0 0 0
10 88 37 34 119 4 75 21 95 11 14 115 9 9 4
0 3 1 0 5 0 7 0 2 5 3 3 3 1 2
10 84 36 31 94 0 64 20 84 6 11 111 6 8 1
0 1 0 3 20 4 4 1 9 0 0 1 0 0 1
5 3 0 0 2 0 1 1 0 1
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0
5 3 0 0 2 0 1 0 0 1
10 359 0 38 389 78 29 1,066 56 240
3 0 0 0 2 0 0 0 1 0
7 29 0 0 53 8 0 18 0 51
0 330 0 38 334 70 29 1,048 55 189
State/Other Agency
Unit/Office
Alabama Alcoholic Beverage Control Board ........ 2nd Judicial Circuit Drug Task Force ................................ 22nd Judicial Circuit Drug Task Force ............................... 24th Judicial Circuit Drug and Violent Crime Task Force Madison-Morgan County Strategic Counterdrug Team .. Marshall County Drug Enforcement Unit ................... Alaska State Troopers............. Alcohol Beverage Control Board.......................... Anchorage International Airport...................................... Fairbanks International Airport......................................
Agnews Developmental Center ....................................... Atascadero State Hospital ..... California State Fair ................ Department of Parks and Recreation: .............................
Fairview Developmental Center ....................................... Highway Patrol: .......................
1 The
Murder and nonnegligent manslaughter
Angeles Bay Area Calaveras County Capital Channel Coast Colorado Four Rivers District Gold Fields District Hollister Hills Hungry Valley Inland Empire Marin County Mendocino Headquarters Monterey County North Coast Redwoods Northern Buttes Oceano Dunes Ocotillo Wells Orange Coast Russian River San Diego Coast San Joaquin San Luis Obispo Coast Santa Cruz Mountains Sierra Silverado Twin Cities
Alameda County Alpine County Amador County Butte County Calaveras County Colusa County Contra Costa County Del Norte County El Dorado County
Violent crime
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
1
1 0 0 0 2 0 0 0 0 0 1 0 0 3 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0
SECTION II: OFFENSES REPORTED 259 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Fresno County Glenn County Humboldt County Imperial County Inyo County Kern County Kings County Lake County Lassen County Los Angeles County Madera County Marin County Mariposa County Mendocino County Merced County Modoc County Mono County Monterey County Napa County Nevada County Orange County Placer County Plumas County Riverside County Sacramento County San Benito County San Bernardino County San Diego County San Francisco County San Joaquin County San Luis Obispo County San Mateo County Santa Barbara County Santa Clara County Santa Cruz County Shasta County Sierra County Siskiyou County Solano County Sonoma County Stanislaus County Sutter County Tehama County Trinity County Tulare County Tuolumne County Ventura County Yolo County Yuba County Napa State Hospital ................ Porterville Developmental Center ....................................... Sonoma Developmental Center ....................................... CALIFORNIAOther Agencies
East Bay Municipal Utility..... East Bay Regional Parks: ....... Fontana Unified School District ...................................... Grant Joint Union High School ....................................... Los Angeles County Metropolitan Transportation Authority .................................. Los Angeles Transportation Services Bureau ....................... Monterey Peninsula Airport...................................... Port of San Diego Harbor ...... San Bernardino Unified School District ......................... San Francisco Bay Area Rapid Transit:...........................
1 The
Alameda County Contra Costa County
Alameda County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 1 2 1 0 0 41 0 0 0 2 0 0 1 2 1 0 6 1 0 11 6 0 9 8 0 0 3 1 3 1 0 2 0 3 0 2 1 0 4 0 0 0 3 1 0 5
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 1 0 0 0
8
0
0
0
0
0 3 23
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 0 1 2 1 0 0 37 0 0 0 2 0 0 1 2 0 0 6 1 0 11 6 0 9 8 0 0 3 1 3 1 0 2 0 3 0 1 0 0 2 0 0 0 2 1 0 5
228 32 174 133 21 353 220 140 27 526 305 108 24 102 574 8 1 460 102 82 46 274 40 102 5,587 25 58 125 47 1,142 137 25 131 85 323 154 4 31 89 325 593 47 109 25 1,285 155 50 61 216 0
0 0 0 0 1 1 0 0 0 13 0 0 0 2 0 0 0 0 0 0 6 3 0 11 19 0 1 7 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 3 0 0
14 2 15 9 4 53 0 18 3 39 47 0 7 22 55 1 0 26 12 27 10 73 13 11 412 0 6 29 9 258 17 3 24 12 54 37 1 2 0 77 13 8 7 0 293 11 8 5 18 0
214 30 159 124 16 299 220 122 24 474 258 108 17 78 519 7 1 434 90 55 30 198 27 80 5,156 25 51 89 38 884 120 22 107 73 269 117 3 29 87 248 579 39 102 25 992 144 42 53 198 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
8
3
0
3
0
0
0
0
0
0
0
0
0
0
0 0 3
0 1 3
0 1 12
0 1 5
18 141 218
1 9 5
17 125 209
0 7 4
1 6 11
24
0
0
8
16
322
96
221
5
2
29
0
0
9
20
101
50
49
2
4
3
0
0
0
3
33
3
30
0
0
445
0
1
291
153
700
32
496
172
2
2 21
0 0
0 0
0 4
2 17
20 581
1 29
11 549
8 3
0 1
94
0
2
78
14
310
176
105
29
9
163
0
1
131
31
1,567
11
1,204
352
2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
0 0 0 0 0 0 0
260
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
Murder and nonnegligent manslaughter
Forcible rape
Robbery
51 31 9
0 0 0
0 0 1
44 22 7
43
0
0
76 3 0 8 0 0 1 0 0 0 0 1 0 0 0 0 4 0 0 0 1 0 0 0 0 0 4 0 1 14 0 2 0 16 0 0 0 0 0 0 0 1 3 0 2 0 1 0 0 0 3 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Colorado Mental Health Institute..................................... State Patrol...............................
0 13
Two Rivers Drug Enforcement Team .................. Connecticut State Police......... State Capitol Police .................
State/Other Agency
Unit/Office
Contra Costa County San Francisco County San Mateo County Santa Clara Transit District ...................................... Stockton Unified School District ...................................... Union Pacific Railroad: ..........
COLORADOState Agencies
COLORADOOther Agencies CONNECTICUTState Agencies DELAWAREState Agencies
1 The
Attorney General: ...................
Alameda County Amador County Butte County Calaveras County Colusa County Contra Costa County El Dorado County Fresno County Glenn County Humboldt County Imperial County Inyo County Kern County Kings County Lassen County Los Angeles County Madera County Marin County Mendocino County Merced County Modoc County Monterey County Napa County Nevada County Orange County Placer County Plumas County Riverside County Sacramento County San Benito County San Bernardino County San Francisco County San Joaquin County San Luis Obispo County San Mateo County Santa Barbara County Santa Clara County Santa Cruz County Shasta County Sierra County Siskiyou County Solano County Sonoma County Stanislaus County Sutter County Tehama County Trinity County Tulare County Ventura County Yolo County Yuba County
Kent County New Castle County Sussex County
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
7 9 1
902 200 164
5 6 0
627 194 138
270 0 26
2 1 0
31
12
85
7
67
11
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
66 3 0 8 0 0 1 0 0 0 0 1 0 0 0 0 4 0 0 0 1 0 0 0 0 0 4 0 1 14 0 2 0 16 0 0 0 0 0 0 0 1 3 0 2 0 1 0 0 0 3 2
577 259 0 17 0 0 4 0 1 0 0 117 0 15 0 2 169 1 0 0 6 0 2 0 0 0 14 1 196 17 0 88 0 150 0 0 7 2 1 6 0 1 0 0 18 6 0 0 1 0 1 2
137 241 0 0 0 0 0 0 1 0 0 115 0 14 0 0 135 1 0 0 1 0 0 0 0 0 2 0 154 8 0 48 0 130 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0
429 18 0 17 0 0 4 0 0 0 0 2 0 1 0 2 34 0 0 0 5 0 2 0 0 0 12 1 42 9 0 40 0 20 0 0 7 2 1 5 0 0 0 0 17 6 0 0 1 0 1 2
11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 13
0 63
0 0
0 20
0 43
0 1
0
0
0
0
0
0
0
0
0
0
487 0
15 0
91 0
94 0
287 0
4,801 14
1,403 0
2,967 14
431 0
108 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 2
0 0 0
0 0 2
0 0 0
0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 261 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 1 4 4 3 38 469 767 731
0 0 0 0 0 0 0 3 6 3
0 0 0 0 0 0 0 56 42 61
0 0 0 0 1 0 0 49 285 95
0
0
0
0
0
1
Metro Transit Police ................ National Zoological Park ....... Capitol Police........................... Department of Environmental Protection, Division of Law Enforcement: ...........................
State/Other Agency
Division of Alcohol and Tobacco Enforcement............. Environmental Control .......... Fish and Wildlife...................... Park Rangers ........................... River and Bay Authority ........ State Capitol Police ................. State Fire Marshal ................... State Police:..............................
DELAWAREOther Agencies
DISTRICT OF COLUMBIAOther Agencies FLORIDAState Agencies
1 The
Amtrak Police.......................... Drug Enforcement Administration ........................ ................................................... Wilmington Fire Department..............................
Unit/Office
Kent County New Castle County Sussex County
Wilmington Resident Office
Alachua County Baker County Bay County Bradford County Brevard County Broward County Charlotte County Citrus County Clay County Collier County Columbia County Dixie County Duval County Escambia County Flagler County Franklin County Hamilton County Highlands County Hillsborough County Holmes County Indian River County Jackson County Lake County Lee County Leon County Levy County Madison County Manatee County Marion County Martin County Miami-Dade County Monroe County Nassau County Okaloosa County Okeechobee County Orange County Pasco County Pinellas County Polk County Santa Rosa County Sarasota County Seminole County St. Johns County St. Lucie County Volusia County Wakulla County Walton County
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 1 4 3 3 38 361 434 572
0 1 19 83 13 26 21 1,749 5,847 3,487
0 0 3 12 1 6 20 590 607 1,156
0 1 16 70 9 20 1 1,035 4,872 2,135
0 0 0 1 3 0 0 124 368 196
0 0 0 0 0 0 249 3 3 2
0
0
2
0
2
0
0
0
0
0
2
0
2
0
0
0
0
0
1
0
0
0
0
16
394 2
0 0
0 0
276 0
118 2
1,168 21
5 1
886 20
277 0
0 0
0
0
0
0
0
41
0
41
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 0 3 0 9 5 1 0 0 0 0 0 10 2 1 0 0 1 1 0 6 1 1 4 0 2 0 0 0 4 9 12 5 2 0 7 0 4 0 1 0 1 2 4 19 0 4
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
5 0 3 0 8 5 1 0 0 0 0 0 10 2 1 0 0 1 1 0 6 1 1 4 0 2 0 0 0 4 9 12 5 2 0 7 0 4 0 0 0 0 2 4 19 0 4
0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
262
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Department of Insurance: ......
Department of Law Enforcement: ...........................
Florida Game Commission: ...
1 The
Unit/Office
Washington County Broward County Duval County Escambia County Hillsboro County Lee County Miami-Dade County Orange County Palm Beach County Pinellas County Duval County, Jacksonville Escambia County, Pensacola Hillsborough County, Tampa Lee County, Fort Myers Leon County, Tallahassee Miami-Dade County, Miami Orange County, Orlando Alachua County Baker County Bay County Bradford County Brevard County Broward County Calhoun County Charlotte County Citrus County Clay County Collier County Columbia County DeSoto County Dixie County Duval County Escambia County Flagler County Franklin County Gadsden County Gilchrist County Glades County Gulf County Hamilton County Hardee County Hendry County Hernando County Highlands County Hillsborough County Holmes County Indian River County Jackson County Jefferson County Lafayette County Lake County Lee County Leon County Levy County Liberty County Madison County Manatee County Marion County Martin County Miami-Dade County Monroe County Nassau County Okaloosa County Okeechobee County Orange County Osceola County Palm Beach County Pasco County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0
2
0
0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
1
0
1
1
0
1
0
0
0 0 0
0 0 0
0 0 0
0 0 1
0 0 2
0 0 0
0 0 2
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 263 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Highway Patrol: .......................
1 The
Unit/Office
Pinellas County Polk County Putnam County Santa Rosa County Sarasota County Seminole County St. Johns County St. Lucie County Sumter County Suwannee County Taylor County Volusia County Wakulla County Walton County Washington County Alachua County Baker County Bay County Bradford County Brevard County Broward County Calhoun County Charlotte County Citrus County Clay County Collier County Columbia County DeSoto County Dixie County Duval County Escambia County Flagler County Franklin County Gadsden County Gilchrist County Glades County Gulf County Hamilton County Hardee County Hendry County Hernando County Highlands County Hillsborough County Holmes County Indian River County Jackson County Jefferson County Lafayette County Lake County Lee County Leon County Levy County Liberty County Madison County Manatee County Marion County Martin County Miami-Dade County Monroe County Nassau County Okaloosa County Okeechobee County Orange County Osceola County Pasco County Pinellas County Polk County Putnam County Santa Rosa County Sarasota County Seminole County St. Johns County St. Lucie County Sumter County
Violent crime
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 50 0 2 0 0 0 2 0 1 4 3 1 0 0 0 0 0 0 0 0 0 1 14 0 1 0 2 0 3 0 1 0 0 1 2 0 1 54 0 0 0 0 11 2 6 3 2 0 2 7 3 0 4 3
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Aggravated assault
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 50 0 2 0 0 0 2 0 1 4 2 1 0 0 0 0 0 0 0 0 0 0 14 0 1 0 2 0 3 0 1 0 0 1 2 0 1 52 0 0 0 0 11 2 6 3 2 0 2 7 3 0 4 3
Property crime
Burglary
Larcenytheft
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 156 1 0 0 0 0 1 0 0 3 1 0 0 1 0 0 0 0 0 0 2 0 2 0 0 0 0 0 1 0 0 0 0 0 1 1 1 79 0 0 1 0 12 6 3 2 1 0 0 4 0 1 4 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 40 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 1 1 21 0 0 0 0 10 6 3 1 1 0 0 3 0 1 3 0
Motor vehicle theft
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 116 1 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 58 0 0 1 0 2 0 0 1 0 0 0 1 0 0 1 0
Arson1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
264
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
State Treasurer’s Office .......... FLORIDAOther Agencies
GEORGIAState Agencies
GEORGIAOther Agencies
IDAHOState Agencies INDIANAState Agencies
1 The
Unit/Office
Suwannee County Taylor County Union County Volusia County Wakulla County Walton County Washington County Division of Insurance Fraud
Duval County Schools ............ Florida School for the Deaf and Blind ........................ Fort Lauderdale Airport......... Jacksonville Airport Authority .................................. Lee County Port Authority .... Melbourne International Airport...................................... Miami-Dade County Public Schools ......................... Miccosukee Tribal ................... Palm Beach County School District ......................... Port Everglades ....................... Sarasota-Bradenton International Airport .............. Seminole Tribal ........................ St. Petersburg-Clearwater International Airport .............. Tampa International Airport...................................... Volusia County Beach Management ............................ Department of Natural Resources ................................. Department of Public Safety ........................................ Department of Transportation ........................ Georgia World Congress ........ Ports Authority ........................
Social Circle
Office of Investigations Savannah
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 4 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0
117
0
1 5
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 4 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0
0
0
0
0
2
23
92
931
234
651
46
6
0 0
0 0
0 2
1 3
1 327
1 2
0 283
0 42
0 0
1 0
0 0
0 0
1 0
0 0
138 251
16 2
92 220
30 29
0 0
0
0
0
0
0
1
0
1
0
0
474 14
0 0
29 0
171 2
274 12
2,742 84
941 20
1,773 49
28 15
22 2
100 4
0 0
4 1
23 0
73 3
683 52
145 0
530 52
8 0
4 0
2 107
0 0
0 10
0 23
2 74
6 578
2 54
3 471
1 53
0 0
0
0
0
0
0
1
0
1
0
0
5
0
0
0
5
224
26
159
39
0
18
0
0
16
2
230
0
227
3
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
70
6
52
12
0
0 18 2
0 0 0
0 0 0
0 7 0
0 11 2
9 508 8
0 32 0
9 468 7
0 8 1
0 0 0
10
0
0
0
10
132
12
119
1
11
0
1
7
3
248
32
211
5
13
0
0
2
11
514
44
467
3
6
285 31
0 0
1 0
6 3
278 28
741 119
163 7
533 101
45 11
0
12
0
0
4
8
203
7
186
10
1
36
0
0
3
33
437
54
380
3
3
Arson1
Bibb County Board of Education ................................. Chatham County Board of Education............................. Cobb County Board of Education ................................. DeKalb County School System....................................... Fulton County Marshal .......... Fulton County School System....................................... Gwinnett County Public Schools...................................... Hartsfield-Jackson Atlanta International Airport .............. Metropolitan Atlanta Rapid Transit Authority.......... Stone Mountain Park..............
9
0
0
1
8
348
1
288
59
177 1
0 0
0 0
53 1
124 0
283 48
20 1
209 46
54 1
4 0
Idaho State Police....................
22
6
1
0
15
10
3
7
0
0
3
0 0 0 1 0 0
0 0 1 0 0 0
1 0 0 0 0 0
2
50 1 30 0 4 0
0 0 0 0 3 0
37 1 26 0 1 0
13 0 4 0 0 0
0 0 0 0 0 0
Northern Indiana Commuter Transportation District ...................................... State Police:2 ............................
Adams County Allen County Bartholomew County Benton County Blackford County
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting aggravated assault. Consequently, this figure is not included in this table. 2
SECTION II: OFFENSES REPORTED 265 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Boone County Brown County Carroll County Cass County Clark County Clay County Clinton County Crawford County Daviess County Dearborn County Decatur County De Kalb County Delaware County Dubois County Elkhart County Fayette County Floyd County Fountain County Franklin County Fulton County Gibson County Grant County Greene County Hamilton County Hancock County Harrison County Hendricks County Henry County Howard County Huntington County Jackson County Jasper County Jay County Jefferson County Jennings County Johnson County Knox County Kosciusko County LaGrange County Lake County La Porte County Lawrence County Madison County Marion County Marshall County Martin County Miami County Monroe County Montgomery County Morgan County Newton County Noble County Ohio County Orange County Owen County Parke County Perry County Pike County Porter County Posey County Pulaski County Putnam County Randolph County Ripley County Rush County Scott County Shelby County Spencer County Starke County Steuben County St. Joseph County Sullivan County Switzerland County Tippecanoe County 1 The
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
0 0 1 5 2 0 2 0 2 1 3 0 0 4 1 0 1 2 0 0 1 1 0 0 0 2 0 0 1 0 0 0 0 2 1 0 0 0 0 1 0 0 0 3 2 0 4 3 1 0 0 0 0 5 1 0 2 0 0 3 1 0 0 1 0 0 0 0 0 3 0 0 1 2
0 0 0 1 2 0 0 0 0 2 0 0 0 0 1 0 2 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 1 0 0 0 1 0 2 0
Aggravated assault
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Property crime
Burglary
Larcenytheft
1 4 23 11 190 0 17 32 14 28 17 9 18 56 23 6 40 12 13 7 37 6 27 7 7 68 14 10 27 11 77 9 5 25 21 2 31 23 49 112 24 15 42 70 25 9 63 35 18 33 5 20 1 21 13 1 27 30 35 32 5 31 5 115 6 55 1 20 5 20 36 0 14 42
0 1 9 3 23 0 1 7 4 7 2 1 2 7 2 3 0 2 4 2 6 1 3 1 1 29 1 1 2 0 12 0 1 13 5 0 1 5 14 2 0 3 7 1 3 1 17 5 0 5 0 7 0 5 3 0 3 1 3 8 0 2 0 23 1 6 0 6 1 6 4 0 1 4
1 3 13 8 152 0 16 18 10 19 15 7 16 48 17 3 34 10 9 3 31 4 21 4 6 32 7 8 23 10 54 6 4 12 15 2 30 13 34 54 18 12 28 33 17 7 37 24 18 21 5 9 1 15 8 1 22 29 24 24 5 28 5 91 4 42 1 13 4 13 30 0 12 38
Motor vehicle theft
0 0 1 0 15 0 0 7 0 2 0 1 0 1 4 0 6 0 0 2 0 1 3 2 0 7 6 1 2 1 11 3 0 0 1 0 0 5 1 56 6 0 7 36 5 1 9 6 0 7 0 4 0 1 2 0 2 0 8 0 0 1 0 1 1 7 0 1 0 1 2 0 1 0
Arson1
0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0
266
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 0 1 0 1 1 2 0 0 0
1 0 2 0 0 1 0 0 4 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0 0
KANSASState Agencies
0
0
0
0
0
0
0
3
0
10 34
KANSASOther Agencies
Larcenytheft
8 7 33 0 3 11 2 22 33 14 3 16 17
1 4 0 0 1 4 2 2 10 0 0 2 0
7 3 33 0 2 7 0 20 17 12 3 13 16
0 0 0 0 0 0 0 0 6 2 0 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0
0
17
0
8
9
0
0
0
0
0
0
0
0
1
0
2
4
0
4
0
0
0 1
0 0
0 0
10 33
42 61
5 5
35 43
2 13
0 3
0
0
0
0
0
2
0
0
2
0
1 8
0 0
0 0
0 1
1 7
10 29
2 1
8 28
0 0
0 1
0 2 11
0 0 0
0 0 1
0 0 2
0 2 8
10 33 79
0 1 0
10 32 78
0 0 1
0 0 1
5
0
2
1
2
20
0
19
1
0
0 0
0 0
0 0
0 0
0 0
1 41
0 0
1 38
0 3
0 0
7 0
0 0
0 0
0 0
7 0
8 22
0 6
5 16
3 0
0 0
0 1,138
0 61
0 398
0 129
0 550
6 6,999
0 2,939
6 3,307
0 753
0
0
0
0
0
0
4
0
4
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
136
1
124
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
1
2
0
0
44
0
0
0
44
144
86
58
0
0
1
0
0
0
1
6
0
6
0
0
0
0
0
0
0
28
0
6
22
0
0
0
0
0
0
3
0
3
0
0
1
0
0
1
0
3
0
3
0
0
State Capitol Detail
3
0
0
1
2
34
0
33
1
1
Androscoggin County Aroostook County
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
St. Joseph County Airport Authority .................................. Kansas Alcoholic Beverage Control...................................... Kansas Bureau of Investigation ............................ Kansas Department of Wildlife and Parks ................... Kansas Highway Patrol........... Kickapoo Tribal ....................... Metropolitan Topeka Airport Authority .................... Potawatomi Tribal ................... Shawnee Mission Public Schools...................................... Unified School District: ..........
Goddard Topeka
Wyandotte County Parks and Recreation ........................ KENTUCKYState Agencies
KENTUCKYOther Agencies
LOUISIANAState Agencies MAINEState Agencies 1 The
Fish and Wildlife Enforcement ............................ Kentucky Horse Park ............. Motor Vehicle Enforcement ............................ Park Security............................ South Central Kentucky Drug Task Force ...................... State Police............................... Unlawful Narcotics Investigation ............................
Treatment and Education
Buffalo Trace-Gateway Narcotics Task Force .............. Cincinnati-Northern Kentucky International Airport...................................... FIVCO Area Drug Task Force ......................................... Greater Hardin County Narcotics Task Force ............... Jefferson County Board of Education............................. Lake Cumberland Area Drug Enforcement Task Force Louisville Regional Airport Authority .................................. Northern Kentucky Narcotics Enforcement Unit ........................................... Pennyrile Narcotics Task Force ................................ Department of Public Safety ........................................ Drug Enforcement Agency: ...
Motor vehicle theft
Burglary
Tipton County Union County Vanderburgh County Vermillion County Vigo County Wabash County Warren County Warrick County Washington County Wayne County Wells County White County Whitley County INDIANAOther Agencies
Aggravated assault
Property crime
Unit/Office
Violent crime
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 267 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
State Police:..............................
MARYLANDState Agencies
Comptroller of the Treasury .................................... Department of Public Safety and Correctional Services ..................................... General Services:.....................
Maryland State Police Statewide .................................. Natural Resources Police ....... Rosewood................................. Springfield Hospital ................ State Fire Marshal ................... State Police:..............................
Transit Administration............ Transportation Authority........ 1 The
Unit/Office
Cumberland County Franklin County Hancock County Kennebec County Knox County Lincoln County Oxford County Penobscot County Piscataquis County Sagadahoc County Somerset County Waldo County Washington County York County Androscoggin County Aroostook County Cumberland County Franklin County Hancock County Kennebec County Knox County Lincoln County Oxford County Penobscot County Piscataquis County Sagadahoc County Somerset County Waldo County Washington County York County
Field Enforcement Division
Internal Investigations Unit Annapolis, Anne Arundel County Baltimore City
Allegany County Anne Arundel County Baltimore City Baltimore County Calvert County Caroline County Carroll County Cecil County Charles County Dorchester County Frederick County Garrett County Harford County Howard County Kent County Montgomery County Prince George’s County Queen Anne’s County Somerset County St. Mary’s County Talbot County Washington County Wicomico County Worcester County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 13 19 4 4 9 3 1 8 7 1 1 4 4 1 6
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 2 0 0 1 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 2 2 0 0 1 2 0 0 0 1 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 0 1 0 0 0 3 0 0 1 0 0 3
0
0
0
255
3
0 3 3 9 10 0 0 39 15 2 27 88 27 164 185 9 10 76 35 216 13 21 1 19 56 58 55 19 52 94 25 0 16
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 7 16 4 1 5 3 0 7 0 1 1 2 2 1 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 122 215 141 78 177 326 74 10 204 428 16 7 167 202 175 187
0 0 0 0 0 0 0 0 0 0 0 0 0 0 42 47 50 35 56 106 18 1 89 123 11 3 51 53 48 57
0 0 0 0 0 0 0 0 0 0 0 0 0 0 72 158 66 39 113 211 53 9 104 285 5 3 100 142 120 117
0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 10 25 4 8 9 3 0 11 20 0 1 16 7 7 13
0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 1 2 6 1 4 1 5 3 0 4 6 4 5
0
0
0
0
0
0
0
0
0
252
0
0
0
0
0
0 0
0 0
0 0
0 3
15 37
0 1
15 36
0 0
0 0
0 0 0 0 0 0 0 0 0 1 0 1 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0
0 2 0 0 0 5 0 0 0 1 4 0 6 0 2 0 5 6 0 0 0 0 0 1 2 2 2 6 3 0 0
0 0 0 0 0 0 2 0 1 3 5 19 19 1 4 11 1 42 3 0 0 3 7 5 6 8 9 16 1 0 1
3 7 10 0 0 34 13 2 26 83 18 144 157 8 4 65 29 167 10 21 1 16 49 52 47 9 41 72 20 0 15
0 197 15 17 0 487 83 1 71 338 138 1,322 769 45 54 462 215 663 46 46 22 192 220 223 246 115 291 288 218 0 270
0 10 0 0 0 109 0 0 1 72 41 345 245 0 22 89 73 174 0 26 0 0 52 102 68 32 68 118 62 0 5
9 186 15 17 0 336 47 1 40 253 74 903 464 40 26 338 129 402 23 17 7 58 151 111 159 72 194 147 145 0 216
0 1 0 0 0 42 36 0 30 13 23 74 60 5 6 35 13 87 23 3 15 134 17 10 19 11 29 23 11 0 49
0 124 0 1 0 8 1 0 1 12 3 14 35 45 2 15 3 43 0 6 5 0 14 4 34 0 21 9 10 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
268
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
MARYLANDOther Agencies
State/Other Agency
Maryland-National Capital Park Police: ..............................
MASSACHUSETTSState Agencies Massachusetts Bay Transportation Authority:.......
State Police:..............................
MICHIGANState Agencies
1 The
State Police:..............................
Unit/Office
Montgomery County Prince George’s County
Bristol County Essex County Middlesex County Norfolk County Plymouth County Suffolk County Worcester County Barnstable County Berkshire County Bristol County Dukes County Essex County Franklin County Hampden County Hampshire County Middlesex County Plymouth County Worcester County Alcona County Alger County Allegan County Alpena County Antrim County Arenac County Baraga County Barry County Bay County Benzie County Berrien County Branch County Calhoun County Cass County Charlevoix County Cheboygan County Chippewa County Clare County Clinton County Crawford County Delta County Dickinson County Eaton County Emmet County Genesee County Gladwin County Gogebic County Grand Traverse County Gratiot County Hillsdale County Houghton County Huron County Ingham County Ionia County Iosco County Iron County Isabella County Jackson County Kalamazoo County Kalkaska County Kent County Lake County Lapeer County Leelanau County Lenawee County Livingston County Luce County Mackinac County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
14 54
0 6
0 3
8 32
0 3 30 14 2 226 0 7 4 32 0 1 11 11 8 3 15 22
0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0
3 6 83 28 7 23 8 40 57 5 50 38 52 21 12 21 28 8 5 6 12 2 14 14 47 26 11 22 29 23 23 9 17 42 19 10 23 82 6 10 11 11 33 3 16 40 14 18
1 0 3 0 0 0 0 1 1 0 0 4 3 0 0 0 2 0 0 0 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0
0 5 26 11 1 8 1 18 25 1 15 9 18 7 8 9 2 6 4 5 2 1 4 6 16 10 6 9 5 7 13 4 11 14 4 2 14 23 6 4 9 7 14 1 8 12 6 3
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
6 13
201 253
13 25
181 208
7 20
0 1 14 5 1 142 0 0 0 1 0 1 0 0 0 0 0 0
0 2 16 9 1 82 0 7 4 31 0 0 11 10 7 3 15 22
14 18 132 97 18 273 1 0 77 5 0 1 0 57 4 0 2 3
0 0 0 0 1 8 0 0 37 1 0 1 0 7 2 0 0 0
8 13 126 80 14 252 1 0 35 1 0 0 0 22 2 0 1 3
6 5 6 17 3 13 0 0 5 3 0 0 0 28 0 0 1 0
0 0 0 0 0 0
0 0 4 3 0 0 0 0 3 0 4 1 1 1 0 1 0 0 0 0 0 0 0 1 2 0 0 1 3 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 3 0 1
2 1 50 14 6 15 7 21 28 4 31 24 30 13 4 11 24 2 1 1 9 1 10 7 28 15 4 12 21 16 10 5 5 28 15 8 8 57 0 6 2 4 19 2 8 22 7 14
18 70 410 166 22 29 40 348 403 40 327 217 197 114 31 102 156 104 25 32 105 51 128 165 210 101 31 199 154 213 169 94 93 305 272 55 300 419 34 91 42 14 113 5 169 417 67 109
10 28 118 39 8 13 17 104 112 8 92 83 48 45 6 43 70 66 11 14 40 17 41 31 74 39 8 46 48 64 48 35 11 121 113 24 137 128 10 35 1 7 39 1 54 84 35 46
7 40 263 121 11 13 19 214 253 29 208 113 133 60 22 54 73 36 14 16 62 31 80 128 110 59 23 143 91 126 114 54 78 169 149 30 149 256 21 49 37 6 65 4 104 308 27 55
1 2 29 6 3 3 4 30 38 3 27 21 16 9 3 5 13 2 0 2 3 3 7 6 26 3 0 10 15 23 7 5 4 15 10 1 14 35 3 7 4 1 9 0 11 25 5 8
0 0 2 1 1 1 1 2 2 0 2 6 1 3 0 1 2 0 0 0 2 0 2 2 3 0 0 0 2 4 1 0 1 11 8 1 0 3 1 1 0 0 4 0 4 9 1 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
0 0
0 0 0 0 0
SECTION II: OFFENSES REPORTED 269 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Macomb County Manistee County Marquette County Mason County Mecosta County Menominee County Midland County Missaukee County Monroe County Montcalm County Montmorency County Muskegon County Newaygo County Oakland County Oceana County Ogemaw County Ontonagon County Osceola County Oscoda County Otsego County Ottawa County Presque Isle County Roscommon County Saginaw County Sanilac County Schoolcraft County Shiawassee County St. Clair County St. Joseph County Tuscola County Van Buren County Washtenaw County Wayne County Wexford County MICHIGANOther Agencies MINNESOTAState Agencies3
MINNESOTAOther Agencies3
MISSOURIState Agencies
1 The
Bishop International Airport . Wayne County Airport ........... Capitol Security ....................... Minnesota State Patrol ........... State Patrol: .............................
Murder and nonnegligent manslaughter
Forcible rape
Robbery
20 10 43 15 10 11 11 8 31 40 4 45 43 56 19 26 3 28 9 24 7 2 13 39 36 11 25 46 41 40 70 52 46 20
1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 2 0 1 0
12 4 21 10 7 4 6 5 7 24 3 22 16 9 10 10 0 13 7 12 3 1 5 10 14 5 17 12 16 17 18 12 7 11
0 0 1 0 0 0 0 0 6 0 0 1 0 4 0 2 0 1 0 0 0 0 2 4 1 0 0 2 3 1 4 1 4 0
0 13
0 0
0 0
Violent crime
St. Paul Brainerd Detroit Lakes Duluth Golden Valley Mankato Marshall Oakdale Rochester St. Cloud Thief River Falls Virginia
Minneapolis-St. Paul International Airport .............. Three Rivers Park District ..... Capitol Police........................... Department of Conservation............................ Division of Alcohol and Tobacco Control ...................... Gaming Commission............... State Fire Marshal ................... State Highway Patrol: .............
Enforcement Division Jefferson City Kirkwood Lee’s Summit Macon Poplar Bluff Rolla Springfield St. Joseph Willow Springs
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
7 6 21 5 3 7 5 3 18 15 1 22 26 42 9 14 3 13 2 12 4 1 5 25 21 6 8 32 22 22 46 39 34 9
40 197 330 66 105 104 34 40 226 256 24 401 388 324 112 167 25 191 17 205 44 11 166 254 200 72 156 242 241 220 516 265 128 170
9 56 136 21 33 41 12 13 57 86 3 110 128 95 37 60 9 81 5 64 7 4 65 70 88 34 45 83 90 90 212 99 13 37
28 135 179 39 68 54 21 23 138 156 21 263 231 197 70 95 16 96 10 131 37 7 96 156 94 34 98 124 127 109 248 136 65 130
3 6 15 6 4 9 1 4 31 14 0 28 29 32 5 12 0 14 2 10 0 0 5 28 18 4 13 35 24 21 56 30 50 3
1 1 2 0 1 0 0 0 3 4 0 3 3 2 1 4 0 0 0 5 1 0 1 3 3 2 1 5 0 1 13 5 1 1
0 0
0 13
23 369
1 4
4 299
18 66
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
23 0 1 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
23 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 1
0 195
0 6
0 189
0 0
0 0
Arson1
5
0
0
0
5
83
4
79
0
0
1
0
0
0
1
0
0
0
0
0
0 9 0 7 5 13 7 6 4 4 10 1
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 1 1 2 0 0 0 0 0
0 0 0 0 0 0 0 0 1 0 2 0
0 9 0 7 4 12 5 5 3 4 8 1
0 328 0 11 10 27 17 18 5 7 14 3
0 0 0 1 1 1 4 1 0 0 2 0
0 327 0 5 6 14 7 9 1 3 6 1
0 1 0 5 3 12 6 8 4 4 6 2
0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. data collection methodology for the offense of forcible rape used by the Minnesota state UCR Program does not comply with national UCR Program guidelines. Consequently, their figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table.
3 The
0 0 0 0 0 0 0 0
270
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
MISSOURIOther Agencies
NEBRASKAState Agencies
1 The
State/Other Agency
Unit/Office
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
State Park Rangers.................. State Water Patrol ...................
3 10
0 0
0 1
0 0
3 9
102 225
9 1
85 223
8 1
4 0
Bootheel Drug Task Force ..... Clay County Drug Task Force ................................ Clay County Park Authority .................................. Jackson County Drug Task Force ................................ Jackson County Park Rangers..................................... Lambert-St. Louis International Airport .............. Platte County MultiJurisdictional Enforcement Group........................................ St. Charles County Park Rangers..................................... St. Peters Ranger Division .....
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
0
15
3
12
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
15
0
0
1
14
270
3
266
1
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 56
0 2
0 54
0 0
0 0
8 4 0 0 1 0 0 0 0 0 1 0 0 2 1 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 1 0 2 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
8 1 0 0 1 0 0 0 0 0 1 0 0 2 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 1 0 2 0 0 0 0 0 0 1
0 4 0 0 0 2 0 0 0 0 4 0 2 2 0 0 0 0 0 0 0 1 0 0 1 0 0 0 7 1 0 0 0 0 0 0 0 0 1 2 4 0 0 0 0 1 0 0 0 0 0 0
0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 2 0 2 2 0 0 0 0 0 0 0 1 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nebraska State Patrol ............. State Patrol:..............................
Adams County Antelope County Arthur County Banner County Blaine County Boone County Box Butte County Boyd County Brown County Buffalo County Burt County Butler County Cass County Cedar County Chase County Cherry County Cheyenne County Clay County Colfax County Cuming County Custer County Dakota County Dawes County Dawson County Deuel County Dixon County Dodge County Douglas County Dundy County Fillmore County Franklin County Frontier County Furnas County Gage County Garden County Garfield County Gosper County Grant County Greeley County Hall County Hamilton County Harlan County Hayes County Hitchcock County Holt County Hooker County Howard County Jefferson County Johnson County Kearney County Keith County
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
SECTION II: OFFENSES REPORTED 271 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Keya Paha County Kimball County Knox County Lancaster County Lincoln County Logan County Loup County Madison County McPherson County Merrick County Morrill County Nance County Nemaha County Nuckolls County Otoe County Pawnee County Perkins County Phelps County Pierce County Platte County Polk County Red Willow County Richardson County Rock County Saline County Sarpy County Saunders County Scotts Bluff County Seward County Sheridan County Sherman County Sioux County Stanton County Thayer County Thomas County Thurston County Valley County Washington County Wayne County Webster County Wheeler County York County NEVADAState Agencies NEVADAOther Agencies
NEW HAMPSHIREState Agencies NEW JERSEYState Agencies
1 The
Taxicab Authority4................... Clark County School District ...................................... Washoe County School District ......................................
Liquor Commission................. Human Services....................... Hunterdon Developmental Center ....................................... New Jersey Transit Police ....... Palisades Interstate Parkway .................................... State Police:..............................
Woodland Township
Atlantic County Bergen County Burlington County Camden County Cape May County Cumberland County Essex County Gloucester County Hudson County Hunterdon County Mercer County Middlesex County Monmouth County Morris County Ocean County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 1 1 1 0 3 0 1 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 1 0 2 0 2 0 0 0 0 0 0 1 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
102
0
0
115
0
7
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 1 1 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0
0 1 0 1 1 3 0 3 1 1 0 0 0 0 0 0 0 0 2 1 1 0 0 0 0 2 0 5 0 0 4 1 0 0 0 0 0 0 0 0 0 0
0 1 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 2 0 0 4 1 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
16
86
98
2
95
1
0
4
41
70
1,244
182
1,004
58
57
0
0
0
7
142
9
133
0
14
0
0
0
0
0
8
1
7
0
0
4
0
0
0
4
11
0
11
0
0
0 106
0 0
0 0
0 42
0 64
13 286
0 6
13 267
0 13
0 0
7 62 5 43 13 29 94 17 4 7 24 9 17 32 11 12
0 1 0 1 1 1 1 1 0 0 1 0 0 0 0 0
0 0 0 2 0 0 1 0 0 0 0 1 0 0 2 0
0 20 2 5 1 6 14 1 0 3 3 1 7 3 0 0
7 41 3 35 11 22 78 15 4 4 20 7 10 29 9 12
3 1,223 90 488 47 371 869 51 13 17 221 116 88 209 28 117
0 95 3 113 0 87 258 5 0 0 57 6 0 38 6 13
3 1,109 64 327 37 263 524 41 5 17 146 106 87 159 18 100
0 19 23 48 10 21 87 5 8 0 18 4 1 12 4 4
0 3 0 29 0 3 11 0 1 0 4 0 0 2 1 2
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
272
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
Murder and nonnegligent manslaughter
Forcible rape
Robbery
3 52 3 44 6 15
0 0 1 1 0 0
0 1 0 0 0 0
0 8 0 4 1 2
New Mexico State Police ........
212
9
32
Acoma Tribal ........................... Laguna Tribal ........................... Taos Pueblo Tribal................... Zuni Tribal................................
18 106 17 5
0 1 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 13 1 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 7 0 0 0 0 0 0 0 24 43 58 55 32 28 54
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
State/Other Agency
Unit/Office
Passaic County Salem County Somerset County Sussex County Union County Warren County NEW MEXICOState Agencies NEW MEXICOOther Agencies
NEW YORKState Agencies
State Park: ................................
State Police:..............................
1 The
Albany County Allegany County Bronx County Broome County Cattaraugus County Cayuga County Chautauqua County Chemung County Chenango County Clinton County Cortland County Delaware County Erie County Franklin County Fulton County Genesee County Greene County Herkimer County Jefferson County Kings County Lewis County Livingston County Madison County Monroe County Montgomery County Nassau County New York County Niagara County Oneida County Onondaga County Ontario County Orleans County Oswego County Otsego County Queens County Rennselaer County Richmond County Saratoga County Schenectady County Schoharie County Schuyler County Seneca County Steuben County St. Lawrence County Suffolk County Taconic Region Tioga County Tompkins County Washington County Wayne County Wyoming County Yates County Albany County Allegany County Broome County Cattaraugus County Cayuga County Chautauqua County Chemung County
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
3 43 2 39 5 13
9 404 7 476 21 201
0 124 1 112 0 41
9 251 5 338 19 144
0 29 1 26 2 16
1 14 0 1 0 1
23
148
1,221
534
482
205
4
0 12 0 4
0 0 1 0
18 93 16 1
20 70 9 43
8 13 6 41
11 56 3 0
1 1 0 2
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 8 16 6 4 8 5
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 11 1 2 0 1
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 13 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 6 0 0 0 0 0 0 0 19 34 31 48 26 20 48
3 0 10 6 8 5 4 2 0 2 0 0 11 0 0 3 0 0 17 0 0 3 1 7 0 59 67 40 7 4 0 3 2 4 1 2 1 32 0 1 2 7 1 15 55 31 0 6 0 0 5 0 153 295 621 388 309 141 390
0 0 0 2 4 0 3 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 7 0 0 0 2 0 1 6 7 0 0 0 0 0 0 14 122 127 120 58 39 46
3 0 10 4 4 5 1 2 0 2 0 0 10 0 0 3 0 0 16 0 0 3 1 7 0 57 67 40 7 4 0 3 1 4 1 2 0 25 0 1 2 5 1 14 47 24 0 6 0 0 5 0 131 165 480 263 247 94 334
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 8 8 14 5 4 8 10
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
0 4 2 3
SECTION II: OFFENSES REPORTED 273 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Murder and nonnegligent manslaughter
Forcible rape
Robbery
24 191 71 23 49 126 38 67 115 42 25 154 2 30 131 45 12 35 31 10 6 4 15 95 47 15 115 15 36 48 17 39 22 85 14 17 5 22 63 116 11 111 15 29 171 32 57 51 110 12 10
0 1 1 0 1 5 0 0 1 1 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 1 2 0 0 0 0 0 0 0 2 0 0 0 0 0 1 1 0 0 1 0 0
10 16 8 2 7 19 4 9 11 6 2 18 0 4 33 36 1 7 5 3 0 0 3 5 12 2 21 4 4 5 3 7 4 13 1 3 2 3 24 9 0 11 1 3 23 4 12 9 5 2 1
0 6 6 1 3 8 5 1 4 0 0 2 0 4 0 0 0 3 3 2 2 2 4 4 8 2 7 0 3 1 2 1 0 9 2 0 0 0 2 2 3 3 0 1 6 0 0 1 13 0 1
Delaware County Sullivan County Ulster County Westchester County
0 1 4 1
0 0 0 0
0 0 0 0
Albany County Bronx County Cattaraugus County Cayuga County Chautauqua County Columbia County Dutchess County Erie County Genesee County Greene County Herkimer County Jefferson County Madison County Monroe County Montgomery County Niagara County
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Unit/Office
Chenango County Clinton County Columbia County Cortland County Delaware County Dutchess County Erie County Essex County Franklin County Fulton County Genesee County Greene County Hamilton County Herkimer County Jefferson County Lewis County Livingston County Madison County Monroe County Montgomery County Nassau County New York County Niagara County Oneida County Onondaga County Ontario County Orange County Orleans County Oswego County Otsego County Putnam County Rensselaer County Rockland County Saratoga County Schenectady County Schoharie County Schuyler County Seneca County Steuben County St. Lawrence County Suffolk County Sullivan County Tioga County Tompkins County Ulster County Warren County Washington County Wayne County Westchester County Wyoming County Yates County NEW YORKOther Agencies
Board of Water: .......................
Broome County Special Investigations Task Force ....... CSX Transportation: ...............
1 The
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
14 168 56 20 38 94 29 57 99 35 23 133 2 22 98 9 11 23 23 5 4 2 8 86 27 11 85 11 29 41 10 31 18 63 11 14 3 19 35 105 8 97 14 25 141 27 45 41 91 10 8
185 975 351 283 282 699 517 342 407 106 112 548 35 211 533 91 103 279 79 105 16 51 216 827 651 245 856 74 848 415 118 421 11 749 86 167 23 121 443 490 33 530 158 189 389 183 284 429 544 31 36
87 281 100 30 158 183 82 100 188 32 14 162 13 115 121 39 15 82 2 19 0 0 32 267 141 45 128 10 216 150 20 118 1 118 10 65 5 36 133 172 8 139 37 39 122 26 57 145 67 13 3
91 663 241 245 120 489 421 229 201 73 92 367 22 92 398 47 87 190 77 83 11 51 177 538 488 197 689 60 619 258 93 290 8 612 71 97 18 81 290 303 20 347 116 144 238 154 216 269 467 14 33
7 31 10 8 4 27 14 13 18 1 6 19 0 4 14 5 1 7 0 3 5 0 7 22 22 3 39 4 13 7 5 13 2 19 5 5 0 4 20 15 5 44 5 6 29 3 11 15 10 4 0
0 0 0 0
0 1 4 1
1 3 7 14
1 1 3 0
0 2 4 14
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 10 70 0 0 0 1 0 13 0 0 0 0 1 2 3 2
0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
1 9 70 0 0 0 1 0 13 0 0 0 0 1 2 1 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
1 2
0
3 1 0 0
0 0 4
0 1 0 0 4 0 0
1
0
274
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
OHIOState Agencies
OHIOOther Agencies
OKLAHOMAState Agencies OKLAHOMAOther Agencies
OREGONState Agencies
1 The
Robbery
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
93 4 2
0 0 0
0 0 0
2 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
1
Aggravated assault
Motor vehicle theft
Burglary
Larcenytheft
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 5 0 0 0 0 0 1 1 0 2 0 2 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 5 0 0 0 0 0 1 1 0 2 0 2 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
50 0 0
43 4 2
591 46 47
18 8 2
567 38 44
6 0 1
0 0 1
0 0 0 0 0 0 0 0 0
0 1 1 0 0 0 0 0 0
1 0 0 0 0 0 0 0
13 41 9 0 2 0 0 0 0
3 5 3 0 0 0 0 0 0
10 35 6 0 2 0 0 0 0
0 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0
0
0
1
142
6
132
4
1
0
0
0
0
0
10
1
3
6
0
0
0
0
0
0
9
0
0
9
0
252
5
17
10
220
423
12
326
85
8
7 1
0 0
0 0
4 0
3 1
179 18
1 1
170 17
8 0
2 1
2
0
0
0
2
106
3
101
2
0
Capitol Park Police..................
0
0
0
0
0
22
1
20
1
0
Jenks Public Schools ............... Madill Public Schools.............. McAlester Public Schools ...... Norman Public Schools .......... Putnam City Campus ..............
4 0 2 0 0
0 0 0 0 0
1 0 0 0 0
0 0 0 0 0
3 0 2 0 0
19 6 2 51 121
0 0 0 5 1
19 6 2 46 116
0 0 0 0 4
0 0 0 1 3
3 7 9 7 3 3 1 1 4 3 0 0 2 2 9 1
0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
1 2 5 0 0 0 1 0 1 0 0 0 0 0 2 0
1 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0
1 4 4 7 1 2 0 1 2 3 0 0 2 2 7 1
5 136 14 5 16 19 2 9 12 16 1 3 1 1 15 13
1 31 0 1 2 0 0 0 3 0 0 2 0 0 1 1
3 103 10 2 11 13 2 8 6 10 1 0 1 1 9 9
1 2 4 2 3 6 0 1 3 6 0 1 0 0 5 3
2 2 8 7 1 9 1 2 5 9 4 3
Unit/Office
New York City Metropolitan Transportation Authority........ Onondaga County Parks ........ Suffolk County Parks..............
NORTH CAROLINAOther Agencies
Forcible rape
Property crime
State/Other Agency
Oneida County Onondaga County Ontario County Orange County Orleans County Oswego County Queens County Rensselaer County Rockland County Seneca County St. Lawrence County Ulster County Wayne County Westchester County
NORTH CAROLINAState Agencies
Murder and nonnegligent manslaughter
Department of Human Resources2 ................................ State Capitol Police ................. State Park Rangers:.................
Crowders Mountain Elk Knob Eno River Goose Creek Jones Lake Merchants Millpond William B. Umstead
Raleigh-Durham International Airport .............. Wilmington International Airport...................................... Ohio Department of Natural Resources................... Ohio State Highway Patrol......................................... Cleveland Metropolitan Park District............................. Lake Metroparks..................... Port Columbus International Airport ..............
State Police:..............................
Baker County Benton County Clackamas County Clatsop County Columbia County Coos County Crook County Curry County Deschutes County Douglas County Gilliam County Grant County Harney County Hood River County Jackson County Jefferson County
Violent crime
Arson1
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. It was determined that the agency did not follow national Uniform Crime Reporting (UCR) Program guidelines for reporting aggravated assault. Consequently, this figure is not included in this table. 2
3 16 1
SECTION II: OFFENSES REPORTED 275 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Josephine County Klamath County Lake County Lane County Lincoln County Linn County Malheur County Marion County Morrow County Multnomah County Polk County Sherman County Tillamook County Umatilla County Union County Wallowa County Wasco County Washington County Wheeler County Yamhill County OREGONOther Agencies PENNSYLVANIAState Agencies
Port of Portland ....................... Siletz Tribal............................... Bureau of Narcotics: ...............
Department of Environmental Resources ...... State Capitol Police ................. State Park Police...................... State Police:.............................. 1 The
Allegheny County Bedford County Blair County Bradford County Cambria County Cameron County Centre County Chester County Clearfield County Clinton County Columbia County Crawford County Cumberland County Dauphin County Delaware County Elk County Erie County Fayette County Forest County Greene County Huntingdon County Juniata County Lackawanna County Luzerne County Lycoming County McKean County Mifflin County Montour County Northumberland County Philadelphia County Pike County Potter County Snyder County Somerset County Sullivan County Susquehanna County Tioga County Union County Venango County Warren County Washington County Wayne County Westmoreland County Wyoming County
Pymatuning Adams County Allegheny County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
6 21 2 24 3 1 28 102 2 7 2 0 1 27 10 0 4 4 0 2
0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 1 0 6 1 0 2 3 1 3 0 0 0 4 0 0 1 0 0 0
0 0 0 0 1 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1
0 2
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 1 0 56 102
0 0 0 0 0
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
3 18 2 18 1 1 25 98 1 4 2 0 1 22 10 0 3 4 0 1
15 9 3 73 8 9 6 86 3 44 4 1 15 33 5 1 12 4 2 5
4 1 2 7 0 0 1 5 0 0 0 0 3 7 1 0 2 0 0 0
7 6 0 54 5 4 3 64 3 35 2 1 10 22 3 0 5 4 2 2
4 2 1 12 3 5 2 17 0 9 2 0 2 4 1 1 5 0 0 3
8 8 1 26 2 5 2 12
0 1
0 1
506 43
7 11
448 27
51 5
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 23 2
0 0 0 7 0
1 1 0 26 100
9 54 47 604 20
0 2 0 191 7
9 52 47 377 10
0 0 0 36 3
0 0 0 6 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
5 1 1 12
7 6
276
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Armstrong County Beaver County Bedford County Berks County Blair County Bradford County Bucks County Butler County Cambria County Cameron County Carbon County Centre County Chester County Clarion County Clearfield County Clinton County Columbia County Crawford County Cumberland County Delaware County Elizabethville Elk County Erie County Fayette County Franklin County Fulton County Greene County Huntingdon County Indiana County Jefferson County Juniata County Lackawanna County Lancaster County Lawrence County Lebanon County Lehigh County Luzerne County Lycoming County McKean County Mercer County Mifflin County Monroe County Montour County Northampton County Northumberland County Perry County Philadelphia County Pike County Potter County Schuylkill County Skippack Snyder County Somerset County Sullivan County Susquehanna County Tioga County Tionesta Union County Venango County Warren County Washington County Wayne County Westmoreland County Wyoming County York County State Police, Bureau of Criminal Investigation: ...........
1 The
Adams County Allegheny County Armstrong County Beaver County Bedford County Berks County Blair County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
28 23 76 198 41 41 56 49 36 6 60 55 157 43 45 74 20 35 49 62 75 6 111 270 351 29 26 66 105 44 25 28 88 41 48 57 261 49 10 37 13 137 7 23 108 60 4 84 140 219 100 33 93 8 43 24 27 16 28 44 84 132 179 25 259
0 0 0 5 0 3 0 0 0 0 0 1 2 0 0 1 0 1 0 1 2 0 2 7 3 1 0 0 3 0 0 0 0 1 0 0 5 2 0 0 2 0 0 0 0 1 0 3 1 2 1 0 1 0 0 0 0 0 1 0 4 1 2 1 3
4 1 9 13 4 20 2 12 3 1 2 11 15 12 12 4 1 6 12 4 15 1 26 32 23 5 5 15 18 15 10 5 21 7 4 11 5 11 1 9 0 26 2 3 8 18 0 15 123 27 5 3 15 5 14 5 4 6 14 13 17 15 37 5 23
3 3 6 10 3 0 4 7 5 0 6 4 30 0 3 5 1 3 13 18 10 1 20 55 35 4 9 13 6 2 5 3 19 9 15 13 25 3 1 5 1 25 1 4 4 5 0 9 0 7 4 2 0 0 4 2 0 1 1 2 21 5 39 2 17
0 1 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
Violent crime
Aggravated assault
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Motor vehicle theft
Property crime
Burglary
Larcenytheft
21 19 61 170 34 18 50 30 28 5 52 39 110 31 30 64 18 25 24 39 48 4 63 176 290 19 12 38 78 27 10 20 48 24 29 33 226 33 8 23 10 86 4 16 96 36 4 57 16 183 90 28 77 3 25 17 23 9 12 29 42 111 101 17 216
518 215 682 731 362 514 571 755 314 90 345 578 1,456 516 672 435 187 750 719 1,048 659 158 1,423 1,852 1,213 187 413 403 1,122 290 186 215 973 567 341 775 952 903 195 503 111 1,097 79 296 239 596 5 855 201 670 539 377 470 155 481 341 116 183 400 280 806 525 1,615 324 676
191 77 221 189 102 179 94 179 109 43 120 167 436 130 233 90 70 296 211 95 111 53 384 558 278 54 134 131 316 80 58 69 337 140 81 171 250 275 85 156 34 410 25 73 62 184 0 332 81 198 157 73 135 65 138 148 58 58 149 104 239 170 390 81 238
290 128 434 472 228 305 443 546 152 45 215 380 925 361 395 325 100 385 469 892 492 98 982 1,088 866 120 242 250 754 184 120 128 565 396 242 563 625 585 95 303 75 603 51 203 162 381 5 471 103 402 354 287 286 85 297 170 55 115 231 167 481 316 1,093 220 386
37 10 27 70 32 30 34 30 53 2 10 31 95 25 44 20 17 69 39 61 56 7 57 206 69 13 37 22 52 26 8 18 71 31 18 41 77 43 15 44 2 84 3 20 15 31 0 52 17 70 28 17 49 5 46 23 3 10 20 9 86 39 132 23 52
8 15 17 10 8 12 7 12 7 0 16 19 28 9 11 7 2 7 5 4 5 7 15 98 23 9 9 8 25 5 5 46 29 75 4 9 22 3 1 15 8 15 0 12 1 4 1 20 1 27 20 2 6 0 8 5 0 2 13 6 30 14 26 4 36
0 1 0 0 0 0 0
0 4 1 2 0 2 3
0 0 0 0 0 0 0
0 1 1 1 0 1 1
0 3 0 1 0 1 2
0 0 0 0 0 0 0
Arson1
SECTION II: OFFENSES REPORTED 277 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Bradford County Bucks County Butler County Cambria County Cameron County Carbon County Centre County Chester County Clarion County Clearfield County Clinton County Columbia County Crawford County Cumberland County Dauphin County Delaware County Elk County Erie County Fayette County Forest County Franklin County Fulton County Greene County Huntingdon County Indiana County Jefferson County Juniata County Lackawanna County Lancaster County Lawrence County Lebanon County Lehigh County Luzerne County Lycoming County McKean County Mercer County Mifflin County Monroe County Montgomery County Montour County Northampton County Northumberland County Perry County Philadelphia County Pike County Potter County Schuylkill County Snyder County Somerset County Sullivan County Susquehanna County Tioga County Union County Venango County Warren County Washington County Wayne County Westmoreland County Wyoming County York County PENNSYLVANIAOther Agencies
Allegheny County Port Authority .................................. Allegheny County District Attorney .................................. County Detective: ...................
1 The
Criminal Investigation Division Berks County Bucks County Butler County Chester County Clinton County Dauphin County Lebanon County Lehigh County Pike County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
66
0
0
8 5 3 2 18 0 35 23 0 0
0 0 0 0 0 0 0 0 0 0
0 1 0 0 12 0 2 16 0 0
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 1 0 0 0 0 2 0 0 0 0 0 2 0 0 0 4 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0
0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
37
29
111
5
97
9
0
3 0 0 0 0 0 0 0 0 0
5 4 3 2 6 0 33 7 0 0
39 0 15 0 7 0 45 3 0 9
0 0 0 0 0 0 0 0 0 0
39 0 15 0 7 0 45 3 0 8
0 0 0 0 0 0 0 0 0 1
0 0 1 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
278
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Westmoreland County York County Delaware County District Attorney ...................................
Criminal Investigation Division
Delaware County Park ........... Harrisburg International Airport...................................... Tyrone Area School District ...................................... Washington County Alternative Education ............ Wilkes-Barre Area School District ...................................... RHODE ISLANDState Agencies
SOUTH CAROLINAState Agencies
1 The
Department of Environmental Management ............................ Rhode Island State Police Headquarters ........................... State Police:..............................
Bureau of Protective Services ..................................... Department of Disabilities and Special Needs ................... Department of Mental Health ....................................... Department of Natural Resources: ................................
Chepachet Hope Valley Lincoln Portsmouth Wickford
Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
4 3
0 0
0 1
0 0
21 8
0 0
4 1
0
0
0
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
4 2
97 30
0 0
97 11
0 19
0 0
0 1
17 6
3 131
0 1
2 128
1 2
0 0
0
0
0
24
0
17
7
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
2
0
0
2
1
0
0
1
24
1
21
2
1
11 5 8 13 0 5
1 1 0 0 0 0
5 2 2 5 0 3
0 0 0 2 0 1
5 2 6 6 0 1
37 25 118 76 5 25
3 2 35 3 1 0
27 18 75 38 3 23
7 5 8 35 1 2
0 0 0 1 0 0
2
0
0
2
0
52
1
50
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
2
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 279 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Employment Security Commission.............................. Forestry Commission: .............
Highway Patrol: .......................
1 The
Unit/Office
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0
1 0 0 0 0 0 0 0 0 0 2 0 0 4 1 0 2 2 0 0 2 1 0 0 0 0 2 0 0 1 0 0 0 0 1 0 4 0 5 1 1 0 0 2 0 1 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 2 0 0 4 1 0 2 2 0 0 2 1 0 0 0 0 2 0 0 1 0 0 0 0 1 0 4 0 5 1 1 0 0 2 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
0 0 13 6 8 5 9 12 65 0 14 0 0 16 25 19 1 0 11 0 1 3 0 4 0 16 18 26 4 0 0 0 2 1 2 0 0 2 26 2 3 0 1 9 0 111 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
280
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County South Carolina Law Enforcement Division Vehicle Crimes......................... South Carolina Law Enforcement Division Vice: ..........................................
1 The
Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 4 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 4 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 1 2 0 0 0 0 0 1 1 0 1 0 0 0 1 1 2 0 1 0 1 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 1
2 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 2 0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 281 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
South Carolina School for the Deaf and Blind............ State Museum .......................... State Ports Authority............... State Transport Police: ............
United States Department of Energy .................................. SOUTH CAROLINAOther Agencies
SOUTH DAKOTAState Agencies TENNESSEEState Agencies
1 The
Unit/Office
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
Arson1
Spartanburg County Sumter County Union County Williamsburg County York County
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Charleston County Cherokee County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Horry County Jasper County Kershaw County Laurens County Lee County Lexington County Marion County Marlboro County Newberry County Oconee County Orangeburg County Richland County Spartanburg County Sumter County Union County Williamsburg County York County
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Savannah River Plant
0
0
0
0
0
34
0
34
0
0
0
0
0
0
0
35
0
18
17
0
Charleston County Aviation Authority .................. Columbia Metropolitan Airport...................................... Greenville-Spartanburg International Airport .............. Whitten Center ........................
0
0
0
0
0
13
0
10
3
0
0 5
0 0
0 0
0 0
0 5
12 14
0 0
5 14
7 0
0 0
Division of Criminal Investigation ............................
41
6
14
2
19
24
13
6
5
3
0
0
0
0
0
0
0
0
0
0
14 2 0
0 0 0
0 0 0
0 0 0
14 2 0
3 21 0
0 0 0
3 0 0
0 21 0
0 0 28
1 0 1 0 0
0 0 0 0 0
1 0 0 0 0
0 0 0 0 0
0 0 1 0 0
0 0 1 0 2
0 0 0 0 0
0 0 1 0 2
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
Alcoholic Beverage Commission.............................. Department of Correction ............................... Department of Safety ............. State Fire Marshal ................... State Park Rangers:.................
Internal Affairs
Bicentennial Capitol Mall Big Hill Pond Big Ridge Bledsoe Creek Booker T. Washington Burgess Falls Natural Area
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
282
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Wildlife Resources Agency:.....................................
TENNESSEEOther Agencies
1 The
Chattanooga Metropolitan Airport...................................... Dickinson Parks and Recreation................................
Forcible rape
Robbery
0 0 0 0 0 1
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0 0 0
0 0 0
0
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 0 0 0 1
0 0 1 0 1 0
0 0 0 0 0 0
0 0 1 0 1 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 2
0 0 1
0 0 0
0 0 1
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 1 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 1 0
0 0 5 2
0 0 1 0
0 0 4 2
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0
0 0
1 2
0 0
1 2
0 0
0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 2 0 0 0 0 2
0 0 0 0 0 0 0 1
0 0 2 0 0 0 0 1
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0 0
0 0
2 0
0 0
1 0
1 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 4
0 0 0 0
0 0 0 4
0 0 0 0
0 0 0 0
1
1
0
0
0
2
1
1
0
0
0
0
0
0
0
0
0
0
0
0
Special Investigations Unit
1
0
0
0
1
0
0
0
0
0
Region 1 Region 2 Region 3 Region 4
0 0 0 5
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 5
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
1
0
0
1
0
4
0
4
0
0
0
0
0
0
0
1
0
1
0
0
Unit/Office
Cedars of Lebanon Chickasaw Cove Lake Cumberland Mountain Cumberland Trail David Crockett David Crockett Birthplace Dunbar Cave Natural Area Edgar Evins Fall Creek Falls Fort Loudon State Historic Park Fort Pillow State Historic Park Frozen Head Natural Area Harpeth Scenic Rivers Harrison Bay Henry Horton Hiwassee/Ocoee State Scenic Rivers Indian Mountain Johnsonville State Historic Park Long Hunter Meeman-Shelby Forest Montgomery Bell Mousetail Landing Natchez Trace Nathan Bedford Forrest Norris Dam Old Stone Fort State Archaeological Area Panther Creek Paris Landing Pickett Pickwick Landing Pinson Mounds State Archaeological Park Radnor Lake Natural Area Red Clay State Historic Park Reelfoot Lake Roan Mountain Rock Island Sgt. Alvin C. York South Cumberland Recreation Area Standing Stone Sycamore Shoals State Historic Park Tim’s Ford T.O. Fuller Warrior’s Path Tennessee Bureau of Investigation ............................ TennCare Office of Inspector General.................... Tennessee Department of Revenue ...............................
Murder and nonnegligent manslaughter
Violent crime
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 283 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Drug Task Force: .....................
Knoxville Metropolitan Airport...................................... Memphis International Airport...................................... Metropolitan Board of Parks and Recreation.............. Nashville International Airport...................................... Smyrna/Rutherford County Airport Authority .................... Tri-Cities Regional Airport...................................... West Tennessee Violent Crime Task Force..................... TEXASOther Agencies
Amarillo International Airport...................................... Cameron County Park Rangers..................................... Dallas-Fort Worth International Airport .............. Hospital District: ..................... Houston Metropolitan Transit Authority ..................... Independent School District: .
1 The
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
17
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0
0 0 0 1 2 2 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 1 2 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
18
0
17
1
0
0
0
0
180
2
168
10
0
0
0
5
12
180
9
164
7
5
0
0
0
0
0
46
1
41
4
0
0
0
0
0
0
3
0
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
2
0
0
1
0
0
0
1
52
8
43
1
0
Dallas County Tarrant County
3 6 3
0 0 0
0 0 0
2 5 0
1 1 3
594 437 139
16 5 15
523 423 121
55 9 3
0 0 0
Aldine Alvin Angleton Austin Bay City Cedar Hill Conroe Corpus Christi East Central Ector County El Paso Fort Bend Humble Judson Katy Kaufman Killeen Klein Mexia Midland North East Pasadena Raymondville Socorro Spring Spring Branch Taft United
2 0 11 2 29 1 5 6 38 0 25 21 60 16 0 5 0 2 5 3 0 3 5 0 5 52 7 1 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 1 0 1 0 1 0 0 0 0 0 4 5 0 4 0 0 0 1 0 0 0 0 0 6 1 0 0
2 0 0 0 7 0 0 1 6 0 1 1 7 3 0 0 0 1 2 1 0 0 2 0 0 1 2 0 1
0 0 10 2 21 1 4 5 32 0 24 20 49 8 0 1 0 1 3 1 0 3 3 0 5 45 4 1 2
16 145 127 0 600 66 34 208 296 6 198 428 410 97 10 471 19 107 179 19 65 330 186 13 137 137 92 7 78
0 27 10 0 58 7 2 6 39 5 28 33 18 20 0 14 1 3 11 2 4 7 17 2 4 5 8 2 9
14 107 117 0 535 59 32 199 255 1 170 389 389 77 10 453 18 104 166 17 61 323 160 11 130 128 84 5 68
2 11 0 0 7 0 0 3 2 0 0 6 3 0 0 4 0 0 2 0 0 0 9 0 3 4 0 0 1
0 1 0 0 22 0 1 2 9 0 0 0 6 5 0 1 0 2 1 1 0 0 0 0 0 2 0 0 3
Unit/Office
1st Judicial District 2nd Judicial District 3rd Judicial District 4th Judicial District 5th Judicial District 8th Judicial District 9th Judicial District 10th Judicial District 12th Judicial District 13th Judicial District 14th Judicial District 15th Judicial District 17th Judicial District 18th Judicial District 19th Judicial District 21st Judicial District 22nd Judicial District 23rd Judicial District 24th Judicial District 27th Judicial District 31st Judicial District
Nashville-Davidson
Violent crime
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
284
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
UTAHState Agencies UTAHOther Agencies
VERMONTState Agencies
State/Other Agency
Parks and Recreation.............. Cache-Rich Drug Task Force ......................................... Davis Metropolitan Narcotics Strike Force............. Granite School District........... Utah County Attorney ........... Utah County Major Crime Task Force ................................ Utah Transit Authority............ Attorney General .................... Fish and Wildlife Department.............................. State Police:..............................
Vermont State Police .............. Vermont State Police Headquarters ........................... VIRGINIAState Agencies
1 The
Alcoholic Beverage Control Commission ............... Department of Conservation and Recreation................................ Southside Virginia Training Center........................ State Police:..............................
Unit/Office
11
Investigations Division
Law Enforcement Division Bradford Brattleboro Derby Middlesex New Haven Rockingham Royalton Rutland Shaftsbury St. Albans St. Johnsbury Williston
Bureau of Criminal Investigations
Accomack County Alexandria Alleghany County Augusta County Bedford County Bland County Botetourt County Buchanan County Campbell County Caroline County Carroll County Charles City County Charlotte County Chesterfield County Colonial Heights Culpeper County Dinwiddie County Fairfax County Fauquier County Floyd County Franklin County Frederick County Fredericksburg Giles County Gloucester County Goochland County Grayson County Greensville County Halifax County Hampton Hanover County Harrisonburg
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0
1
0
10
0
0
0
0 19 0
0 0 0
1 12
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
56
2
52
2
0
0
0
3
2
1
0
0
0 0 0
0 4 0
0 15 0
0 110 0
0 8 0
0 96 0
0 6 0
0 14 0
0 0
0 0
0 6
1 6
3 74
1 1
2 73
0 0
0 0
0
0
0
0
0
15
1
14
0
0
0 13 20 14 14 5 14 19 22 18 35 24 14 0
0 0 0 0 0 1 0 0 0 2 3 1 1 0
0 2 3 0 3 1 3 6 2 2 6 3 2 0
0 3 2 0 2 0 0 0 4 0 3 2 1 0
0 8 15 14 9 3 11 13 16 14 23 18 10 0
4 248 153 298 299 312 201 245 502 177 629 311 297 0
0 97 61 123 129 117 84 105 198 73 178 98 100 0
4 125 83 157 170 174 103 115 272 84 389 196 184 0
0 26 9 18 0 21 14 25 32 20 62 17 13 0
0 2 1 0 2 2 4 3 6 0 10 9 6 0
0
0
0
0
0
2
0
1
1
0
0
0
0
0
0
26
1
25
0
0
1
0
0
0
1
20
0
19
1
0
3 3 1 0 0 2 0 1 0 1 1 2 1 0 11 0 2 1 10 1 1 0 1 0 2 2 0 1 0 1 6 7 0
0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 1 0 0 2 0 1 0 0 1 0 1 0 11 0 2 1 10 1 1 0 1 0 2 2 0 1 0 1 6 5 0
28 14 2 3 0 9 9 2 0 1 44 13 5 2 17 1 3 10 34 5 0 6 6 0 8 3 3 3 3 5 4 4 2
0 1 0 0 0 2 0 0 0 0 0 0 1 0 1 0 1 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
28 12 0 3 0 5 9 2 0 1 23 9 3 1 10 1 1 3 17 5 0 2 4 0 5 2 3 2 3 5 3 3 1
0 1 2 0 0 2 0 0 0 0 21 4 1 1 6 0 1 5 17 0 0 4 2 0 2 1 0 1 0 0 1 1 1
0 0 0 0 4 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 285 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Unit/Office
Henrico County Henry County Isle Of Wight County Lee County Loudoun County Louisa County Lunenburg County Madison County Mecklenburg County Middlesex County Montgomery County New Kent County Newport News Norfolk Northampton County Orange County Page County Patrick County Pittsylvania County Powhatan County Prince William County Pulaski County Rappahannock County Richmond Richmond County Roanoke Roanoke County Rockbridge County Rockingham County Russell County Scott County Shenandoah County Smyth County Southampton County Spotsylvania County Stafford County Surry County Sussex County Virginia Beach Warren County Washington County Winchester Wise County Wythe County York County Virginia State Capitol ............. VIRGINIAOther Agencies
WASHINGTONOther Agencies
WEST VIRGINIAState Agencies
1 The
Norfolk Airport Authority ..... Port Authority .......................... Reagan National Airport........ Richmond International Airport......................................
Norfolk
Lummi Tribal ........................... Nisqually Tribal........................ Nooksack Tribal....................... Port of Seattle .......................... Department of Natural Resources: ................................
Barbour County Berkeley County Boone County Braxton County Brooke County Cabell County Calhoun County Clay County Doddridge County Fayette County Gilmer County Grant County Greenbrier County Hampshire County Hancock County
Murder and nonnegligent manslaughter
Forcible rape
Robbery
1 0 1 3 3 1 0 0 2 0 31 2 3 2 1 2 1 0 1 8 10 3 0 6 2 0 0 0 0 0 0 4 4 0 1 0 0 0 1 0 3 1 3 1 0 0
0 0 0 0 0 0 0 0 0 0 30 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 5
0 0 0
0 0 0
0
0
44 4 5 18
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0 0 1 2 3 1 0 0 2 0 1 2 3 2 0 2 1 0 1 8 9 3 0 5 0 0 0 0 0 0 0 4 3 0 0 0 0 0 1 0 2 1 3 1 0 0
14 5 1 7 11 3 1 0 10 0 12 1 5 6 7 1 3 2 30 4 15 7 0 12 1 2 2 17 14 3 13 6 23 1 3 1 3 3 4 4 16 1 7 33 0 63
1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 3 0 1 0 0 2
9 3 1 3 11 2 1 0 5 0 9 0 3 5 4 0 3 0 5 4 9 7 0 10 1 2 2 17 4 2 9 6 17 0 2 0 1 3 4 2 9 1 5 31 0 61
4 2 0 4 0 0 0 0 4 0 3 1 2 1 2 1 0 2 24 0 5 0 0 2 0 0 0 0 10 1 4 0 5 1 1 1 1 0 0 2 4 0 1 2 0 0
0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 2 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 0 0 2 0 3 2 0 0
0 0 1
0 0 4
57 1 487
0 0 0
57 1 359
0 0 128
0 0 0
0
0
0
44
0
34
10
0
0 0 0 0
5 1 0 2
6 0 1 6
33 3 4 10
261 24 61 1,030
76 8 12 43
166 13 48 808
19 3 1 179
6 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
286
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
State Fire Marshal: ..................
State Police:..............................
1 The
Unit/Office
Hardy County Harrison County Jackson County Jefferson County Kanawha County Lewis County Lincoln County Logan County Marion County Marshall County Mason County McDowell County Mercer County Mineral County Mingo County Monongalia County Monroe County Morgan County Nicholas County Ohio County Pendleton County Pleasants County Pocahontas County Preston County Putnam County Raleigh County Randolph County Ritchie County Roane County Summers County Taylor County Tucker County Tyler County Upshur County Wayne County Webster County Wetzel County Wirt County Wood County Wyoming County Boone County Cabell County Calhoun County Clay County Fayette County Gilmer County Harrison County Jackson County Kanawha County Logan County Marshall County Mason County McDowell County Mercer County Mineral County Mingo County Monongalia County Nicholas County Pleasants County Preston County Raleigh County Randolph County Summers County Taylor County Wayne County Webster County Wyoming County Beckley Berkeley Springs Bridgeport Buckeye Buckhannon Clay
Violent crime
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 35 7 24 15 2 6
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 5 0 0 2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 1
Aggravated assault
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 29 5 17 14 2 3
Property crime
Burglary
Larcenytheft
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 443 100 184 123 100 82
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 161 29 45 28 18 28
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 251 58 122 94 74 43
Motor vehicle theft
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 13 17 1 8 11
Arson1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 1 1 2 1 3 1 2 3 1 1 1 3 4 1 9 2 1 1 3 2 2 1 2 1 1 0 1 2 1 1 3
SECTION II: OFFENSES REPORTED 287 Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
State/Other Agency
Murder and nonnegligent manslaughter
Forcible rape
Robbery
31 12 26 11 8 1 15 7 1 13 69 11 6 5 15 11 33 40 21 10 113 100 13 25 11 3 6 11 13 6 6 29 7 25 21 3 9 12 18 42 5 0 6 25 13 47 49 5 4 1 6 8 9 51 22
0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 2 0 0 2 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 2 0 0 0 1 1 0 0 0
0 1 2 2 5 0 1 1 0 1 7 1 1 0 3 1 1 1 4 1 9 6 2 3 2 2 0 1 2 0 3 1 0 2 0 0 0 3 3 2 0 0 2 4 0 0 1 1 1 0 0 1 1 2 3
1 0 5 0 0 0 0 0 0 0 0 0 1 0 0 1 1 3 1 0 20 19 1 7 0 0 0 0 0 0 0 0 0 0 4 0 0 1 0 5 0 0 0 1 0 3 5 0 0 0 0 2 1 4 0
Beckley Bluefield
0 2
0 1
0 0
Fayette County Kanawha County Raleigh County
0 0 0
0 0 0
0
Unit/Office
Danville Elizabeth Elkins Fairmont Franklin Gauley Bridge Gilbert Glenville Grafton Grantsville Hamlin Harrisville Hinton Hundred Huntington Jesse Kearneysville Keyser Kingwood Lewisburg Logan Martinsburg Moorefield Morgantown Moundsville New Cumberland Oak Hill Paden City Parkersburg Parsons Petersburg Philippi Point Pleasant Princeton Quincy Rainelle Richwood Ripley Romney South Charleston Spencer St. Marys Summersville Sutton Union Upperglade Wayne Welch Wellsburg West Union Weston Wheeling Whitesville Williamson Winfield State Police, Bureau of Criminal Investigation: ........... State Police, Parkway Authority: .................................
WEST VIRGINIAOther Agencies
1 The
Eastern Panhandle Drug and Violent Crime Task Force ................................ Metropolitan Drug Enforcement Network Team.......................................... Ohio Valley Drug and Violent Crime Task Force.......
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
30 11 19 9 3 1 14 6 1 12 61 9 4 5 11 9 31 36 14 9 84 73 7 15 9 1 6 10 11 6 3 28 7 22 17 3 9 8 15 35 5 0 4 20 10 44 41 4 3 1 5 4 7 45 19
265 55 257 168 27 41 81 37 13 76 292 82 56 21 793 119 313 228 128 100 813 663 59 596 39 18 147 46 289 43 30 79 118 421 268 68 41 67 155 693 30 14 57 85 101 84 393 16 10 19 115 50 65 240 238
57 19 58 34 12 10 14 11 6 19 93 25 24 6 114 28 61 73 49 27 224 159 15 120 12 2 47 7 53 11 9 24 39 116 48 21 14 12 55 91 12 1 10 16 37 27 102 1 3 12 12 12 20 47 39
182 29 187 122 14 28 60 21 5 41 162 51 26 10 628 82 225 134 71 62 506 450 40 441 25 15 83 34 216 29 16 43 55 267 192 41 26 47 81 544 15 11 40 58 51 50 251 15 7 5 93 35 43 153 175
26 7 12 12 1 3 7 5 2 16 37 6 6 5 51 9 27 21 8 11 83 54 4 35 2 1 17 5 20 3 5 12 24 38 28 6 1 8 19 58 3 2 7 11 13 7 40 0 0 2 10 3 2 40 24
5 1 1 0 0 0 1 0 0 6 3 3 2 1 1 0 1 6 1 0 10 8 1 2 0 0 0 1 1 1 0 0 1 1 6 0 0 0 2 0 4 1 3 1 1 0 3 0 0 0 0 0 1 1 1
0 0
0 1
1 0
0 0
1 0
0 0
0 0
0 0 0
0 0 0
0 0 0
2 4 9
0 0 0
2 4 9
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
288
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 11. Offenses Known to Law Enforcement, by State and Other Agencies, 2007 (Contd.) (Number.)
State
Murder and nonnegligent manslaughter
Forcible rape
Robbery
0
0
0
0
Capitol Police........................... Department of Natural Resources ................................ Wisconsin State Patrol ............
3
0
0
0 0
0 0
Lac du Flambeau Tribal .......... Menominee Tribal ................... Oneida Tribal ...........................
18 65 2
Puerto Rico ..............................
State/Other Agency
Unit/Office
Tri-Lateral Drug Enforcement Network Team.......................................... WISCONSINState Agencies
WISCONSINOther Agencies
PUERTO RICO AND OTHER OUTLYING AREAS FEDERAL AGENCIES
1 The
National Institutes of Health ....................................... United States Department of the Interior:..........................
Bureau of Indian Affairs Bureau of Land Management Bureau of Reclamation Fish and Wildlife Service National Park Service
Violent crime
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
0
0
0
0
0
0
2
1
103
0
102
1
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 1 0
6 13 1
1 4 1
11 47 0
347 148 149
34 27 4
272 81 138
41 40 7
4 3 0
8,942
728
97
5,134
2,983
53,937
17,160
28,955
7,822
0
0
0
0
0
112
1
111
0
0
5,342
125
618
257
4,342
35,072
3,950
10,116
21,006
801
9 0 40 389
4 0 3 9
2 0 2 49
0 0 1 57
3 0 34 274
391 8 388 3,515
13 1 128 348
356 4 233 2,994
22 3 27 173
54 0 137 125
FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
Arson1
SECTION II: OFFENSES REPORTED 289 Table 12. Crime Trends, by Population Group, 2006–2007 (Number, percent change.)
Population group
TOTAL ALL AGENCIES:
Year
2006.................. 2007.................. Percent change.............. TOTAL CITIES 2006.................. 2007.................. Percent change.............. GROUP I (250,000 and over) 2006.................. 2007.................. Percent change.............. 1,000,000 and over (Group I subset) 2006.................. 2007.................. Percent change.............. 500,000 to 999,999 (Group I subset) 2006.................. 2007.................. Percent change.............. 250,000 to 499,999 (Group I subset) 2006.................. 2007.................. Percent change.............. GROUP II (100,000 to 249,999) 2006.................. 2007.................. Percent change.............. GROUP III (50,000 to 99,999) 2006.................. 2007.................. Percent change.............. GROUP IV (25,000 to 49,999) 2006.................. 2007.................. Percent change.............. GROUP V (10,000 to 24,999) 2006.................. 2007.................. Percent change.............. GROUP VI (under 10,000) 2006.................. 2007.................. Percent change.............. METROPOLITAN COUNTIES 2006.................. 2007.................. Percent change.............. NONMETROPOLITAN 1 COUNTIES 2006.................. 2007.................. Percent change.............. 2 SUBURBAN AREA 2006.................. 2007.................. Percent change.............. 1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
1,320,967 1,305,814
15,972 15,707
81,741 78,669
423,509 422,184
799,745 789,254
9,131,100 8,988,919
1,994,361 1,989,593
6,013,629 5,970,603
1,123,110 1,028,723
66,480 62,000
13,468
272,223,974
-1.1 1,051,216 1,037,212
-1.7 12,497 12,227
-3.8 60,518 57,689
-0.3 370,093 367,678
-1.3 608,108 599,618
-1.6 7,142,853 7,008,738
-0.2 1,466,164 1,458,141
-0.7 4,777,524 4,733,001
-8.4 899,165 817,596
-6.7 49,029 45,930
9,527
182,727,571
-1.3 499,515 486,694
-2.2 6,878 6,509
-4.7 20,314 19,097
-0.7 205,368 201,730
-1.4 -1.9 266,955 2,470,035 259,358 2,412,156
-0.5 -0.9 521,783 1,504,248 519,248 1,493,204
-9.1 444,004 399,704
-6.3 19,416 18,020
72
54,390,034
-2.6 217,074 209,002
-5.4 3,089 2,790
-6.0 6,739 6,203
-1.8 97,212 94,385
-2.8 110,034 105,624
-2.3 933,153 923,358
-0.5 180,151 187,272
-0.7 579,452 579,090
-10.0 173,550 156,996
-7.2 6,832 6,343
10
25,220,230
-3.7 158,661 158,406
-9.7 2,197 2,195
-8.0 7,188 6,876
-2.9 60,655 61,177
-4.0 88,621 88,158
-1.0 871,317 850,503
+4.0 194,906 188,743
-0.1 521,463 523,071
-9.5 154,948 138,689
-7.2 6,803 6,231
24
16,012,700
-0.2 123,780 119,286
-0.1 1,592 1,524
-4.3 6,387 6,018
+0.9 47,501 46,168
-0.5 68,300 65,576
-2.4 665,565 638,295
-3.2 146,726 143,233
+0.3 403,333 391,043
-10.5 115,506 104,019
-8.4 5,781 5,446
38
13,157,104
-3.6 172,672 171,921
-4.3 2,128 2,164
-5.8 10,271 9,822
-2.8 61,369 61,515
-4.0 -4.1 98,904 1,202,994 98,420 1,180,160
-2.4 254,612 254,933
-3.0 791,870 780,935
-9.9 156,512 144,292
-5.8 7,413 7,280
182
27,358,620
-0.4 139,544 138,191
+1.7 1,400 1,447
-4.4 9,556 9,128
+0.2 44,967 45,485
-0.5 -1.9 83,621 1,108,140 82,131 1,085,205
+0.1 231,346 229,805
-1.4 753,096 743,212
-7.8 123,698 112,188
-1.8 7,806 7,015
434
29,826,593
-1.0 93,956 93,018
+3.4 864 875
-4.5 7,487 7,267
+1.2 27,572 27,578
-1.8 58,033 57,298
-2.1 853,125 839,615
-0.7 168,378 166,475
-1.3 609,597 604,540
-9.3 75,150 68,600
-10.1 5,372 5,102
724
24,939,612
-1.0 78,252 80,169
+1.3 712 719
-2.9 6,964 6,679
* 19,463 19,998
-1.3 51,113 52,773
-1.6 798,645 794,856
-1.1 157,439 156,745
-0.8 582,080 583,352
-8.7 59,126 54,759
-5.0 4,624 4,435
1,596
25,359,101
+2.4 67,277 67,219
+1.0 515 513
-4.1 5,926 5,696
+2.7 11,354 11,372
+3.2 49,482 49,638
-0.5 709,914 696,746
-0.4 132,606 130,935
+0.2 536,633 527,758
-7.4 40,675 38,053
-4.1 4,398 4,078
6,519
20,853,611
-0.1 217,441 214,836
-0.4 2,651 2,662
-3.9 15,348 14,952
+0.2 49,418 50,412
+0.3 150,024 146,810
-1.9 1,571,524 1,562,763
-1.3 393,567 395,802
-1.7 987,794 988,988
-6.4 190,163 177,973
-7.3 13,405 12,230
1,647
64,261,573
-1.2
+0.4
-2.6
+2.0
-2.1
-0.6
+0.6
+0.1
-6.4
-8.8
52,310 53,766
824 818
5,875 6,028
3,998 4,094
41,613 42,826
416,723 417,418
134,630 135,650
248,311 248,614
33,782 33,154
4,046 3,840
2,294
25,234,830
+2.8 361,169 359,085
-0.7 3,903 3,891
+2.6 26,748 26,002
+2.4 88,639 90,090
+0.8 +0.1 672,929 2,069,505 673,059 2,065,399
-1.9 317,360 294,136
-5.1 22,403 20,632
7,078
113,965,191
-0.6
-0.3
-2.8
+1.6
-7.3
-7.9
+2.9 +0.2 241,879 3,059,794 239,102 3,032,594 -1.1
-0.9
*
-0.2
Arson
Number 2007 of estimated agencies population
Includes state police agencies that report aggregately for the entire state. 2 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. * = Less than one-tenth of 1 percent.
290
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 13. Crime Trends, by Suburban and Nonsuburban Cities1 by Population Group, 2006–2007 (Number, percent change.)
Population group
TOTAL SUBURBAN CITIES:............... 2006 2007 Percent change GROUP IV (25,000 to 49,999)................. 2006 2007 Percent change GROUP V (10,000 to 24,999) .................. 2006 2007 Percent change GROUP VI (under 10,000) ...................... 2006 2007 Percent change TOTAL NONSUBURBAN CITIES: ..... 2006 2007 Percent change GROUP IV (25,000 to 49,999)................. 2006 2007 Percent change GROUP V (10,000 to 24,999) .................. 2006 2007 Percent change GROUP VI (under 10,000) ...................... 2006 2007 Percent change 1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
143,728 144,249 +0.4 54,716 54,689 * 50,374 51,559 +2.4 38,638 38,001 -1.6 95,757 96,157 +0.4 39,240 38,329 -2.3 27,878 28,610 +2.6 28,639 29,218 +2.0
1,252 1,229 -1.8 506 516 +2.0 467 451 -3.4 279 262 -6.1 839 878 +4.6 358 359 +0.3 245 268 +9.4 236 251 +6.4
11,400 11,050 -3.1 3,871 3,911 +1.0 4,197 4,045 -3.6 3,332 3,094 -7.1 8,977 8,592 -4.3 3,616 3,356 -7.2 2,767 2,634 -4.8 2,594 2,602 +0.3
39,221 39,678 +1.2 17,171 17,372 +1.2 14,036 14,392 +2.5 8,014 7,914 -1.2 19,168 19,270 +0.5 10,401 10,206 -1.9 5,427 5,606 +3.3 3,340 3,458 +3.5
Aggravated assault
Property crime
91,855 1,488,270 92,292 1,469,831 +0.5 -1.2 33,168 526,212 32,890 521,796 -0.8 -0.8 31,674 522,422 32,671 517,543 +3.1 -0.9 27,013 439,636 26,731 430,492 -1.0 -2.1 66,773 873,414 67,417 861,386 +1.0 -1.4 24,865 326,913 24,408 317,819 -1.8 -2.8 19,439 276,223 20,102 277,313 +3.4 +0.4 22,469 270,278 22,907 266,254 +1.9 -1.5
Burglary
Larcenytheft
279,362 1,081,711 277,257 1,076,411 -0.8 -0.5 101,450 370,540 101,046 371,960 -0.4 +0.4 100,794 376,667 99,754 376,435 -1.0 -0.1 77,118 334,504 76,457 328,016 -0.9 -1.9 179,061 646,599 176,898 639,239 -1.2 -1.1 66,928 239,057 65,429 232,580 -2.2 -2.7 56,645 205,413 56,991 206,917 +0.6 +0.7 55,488 202,129 54,478 199,742 -1.8 -1.2
Motor vehicle theft
127,197 116,163 -8.7 54,222 48,790 -10.0 44,961 41,354 -8.0 28,014 26,019 -7.1 47,754 45,249 -5.2 20,928 19,810 -5.3 14,165 13,405 -5.4 12,661 12,034 -5.0
Arson
8,998 8,402 -6.6 3,138 2,999 -4.4 3,119 2,891 -7.3 2,741 2,512 -8.4 5,396 5,213 -3.4 2,234 2,103 -5.9 1,505 1,544 +2.6 1,657 1,566 -5.5
Number 2007 of estimated agencies population
5,431
49,703,618
534
18,132,178
1,187
18,983,351
3,710
12,588,089
3,408
21,448,706
190
6,807,434
409
6,375,750
2,809
8,265,522
Suburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are within a Metropolitan Statistical Area. Suburban cities exclude all metropolitan agencies associated with a principal city. Nonsuburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are not associated with a Metropolitan Statistical Area. * = Less than one-tenth of 1 percent.
SECTION II: OFFENSES REPORTED 291 Table 14. Crime Trends, by Metropolitan and Nonmetropolitan Counties1 by Population Group, 2006–2007 (Number, percent change.)
Population group
Population range
METROPOLITAN COUNTIES....................... 100,000 and over
25,000 to 99,999
Under 25,000
NONMETROPOLITAN COUNTIES.......................
25,000 and over
10,000 to 24,999
Under 10,000
1
Violent crime
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Motor vehicle theft
Property crime
Burglary
Larcenytheft
101,970 1,050,601 98,887 1,050,740
251,325 256,150
668,294 671,329
130,982 123,261
8,602 7,739
Arson
2006 2007 Percent change
155,300 152,999
1,878 1,838
9,342 9,007
42,110 43,267
-1.5
-2.1
-3.6
2.7
-3
*
1.9
0.5
-5.9
-10
2006 2007 Percent change 2006 2007 Percent change
45,436 45,719
564 606
4,360 4,443
5,050 5,122
35,462 35,548
390,918 384,357
112,733 110,650
244,041 241,899
34,144 31,808
0.6 16,705 16,118
7.4 209 218
1.9 1,646 1,502
1.4 2,258 2,023
0.2 12,592 12,375
-1.7 130,005 127,666
-1.8 29,509 29,002
-0.9 75,459 75,760
-3.5
4.3
-8.7
-10.4
-1.7
-1.8
-1.7
2006 2007 Percent change
22,254 23,237
315 312
2,186 2,374
2,065 2,080
17,688 18,471
187,556 190,268
4.4
-1
8.6
0.7
4.4
2006 2007 Percent change 2006 2007 Percent change
15,781 16,103
237 241
1,532 1,465
999 1,035
2 8,542 8,630
1.7 154 130
-4.4 1,306 1,362
1
-15.6
4.3
Number 2007 of estimated agencies population
146
38,948,161
3,004 2,912
413
21,176,497
-6.8 25,037 22,904
-3.1 1,799 1,579
1,088
4,136,915
0.4
-8.5
-12.2
61,657 63,634
111,182 111,945
14,717 14,689
1,556 1,424
278
11,004,275
1.4
3.2
0.7
-0.2
-8.5
13,013 13,362
124,804 125,168
40,955 40,646
74,167 75,070
9,682 9,452
1,205 1,112
550
8,888,530
3.6 352 351
2.7 6,730 6,787
0.3 64,803 63,175
-0.8 19,981 19,237
1.2 39,157 38,553
-2.4 5,665 5,385
-7.7 949 981
1,312
3,794,269
-0.3
0.8
-2.5
-3.7
-1.5
-4.9
3.4
Metropolitan counties include sheriffs and county law enforcement agencies associated with a Metropolitan Statistical Area. Nonmetropolitan counties include sheriffs and county law enforcement agencies that are not associated with a Metropolitan Statistical Area. The offenses from state police agencies are not included in this table. * = Less than one-tenth of 1 percent.
292
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 15. Crime Trends, by Population Group, 2006–2007 (Number, percent change.) Forcible rape Population group
TOTAL ALL AGENCIES:......................
TOTAL CITIES ....................................
GROUP I (250,000 and over)..............
1,000,000 and over (Group I subset) ................................
500,000 to 999,999 (Group I subset) ................................
250,000 to 499,999 (Group I subset) ................................
GROUP II (100,000 to 249,999) ..........
GROUP III (50,000 to 99,999) ............
GROUP IV (25,000 to 49,999) ............
GROUP V (10,000 to 24,999) ..............
GROUP VI (under 10,000) ..................
METROPOLITAN COUNTIES .......
NONMETROPOLITAN COUNTIES ...........................................
SUBURBAN AREA1 ..............................
1 Suburban
Rape by force
Robbery
Assault to rapeattempts
Firearm
Knife or cutting instrument
Aggravated assault
Other weapon
Strong-arm
Firearm
Knife or cutting instrument
Other weapon
Hands, fists, feet, etc.
2006 2007 Percent change 2006 2007 Percent change 2006 2007 Percent change
72,555 70,136 -3.3 52,948 50,664 -4.3 16,257 15,523 -4.5
6,320 5,980 -5.4 4,982 4,706 -5.5 2,067 1,833 -11.3
153,984 156,191 +1.4 130,348 131,527 +0.9 69,825 69,576 -0.4
31,798 30,287 -4.8 27,399 26,017 -5.0 12,919 12,077 -6.5
33,928 33,391 -1.6 28,644 27,942 -2.5 13,113 12,516 -4.6
146,375 145,992 -0.3 127,837 127,456 -0.3 58,370 57,673 -1.2
157,679 153,326 -2.8 123,469 120,054 -2.8 62,983 59,729 -5.2
136,371 135,389 -0.7 106,052 104,917 -1.1 40,841 39,731 -2.7
250,473 245,570 -2.0 183,171 180,423 -1.5 71,278 69,491 -2.5
187,341 186,367 -0.5 129,519 127,496 -1.6 32,758 30,754 -6.1
2006 2007 Percent change
4,796 4,558 -5.0
872 770 -11.7
26,598 25,832 -2.9
5,530 5,266 -4.8
4,620 4,559 -1.3
21,090 21,516 +2.0
21,050 19,444 -7.6
13,460 12,987 -3.5
21,401 19,915 -6.9
9,770 8,559 -12.4
2006 2007 Percent change
5,672 5,483 -3.3
647 550 -15.0
23,396 23,818 +1.8
4,059 3,712 -8.5
4,943 4,558 -7.8
17,175 17,163 -0.1
23,527 22,711 -3.5
14,536 14,634 +0.7
25,784 25,816 +0.1
10,397 10,396 *
2006 2007 Percent change 2006 2007 Percent change 2006 2007 Percent change 2006 2007 Percent change 2006 2007 Percent change 2006 2007 Percent change 2006 2007 Percent change
5,789 5,482 -5.3 8,990 8,477 -5.7 8,869 8,434 -4.9 6,948 6,780 -2.4 6,499 6,242 -4.0 5,385 5,208 -3.3 14,087 13,804 -2.0
548 513 -6.4 745 810 +8.7 651 671 +3.1 537 485 -9.7 452 423 -6.4 530 484 -8.7 990 920 -7.1
19,831 19,926 +0.5 23,330 23,402 +0.3 16,129 17,116 +6.1 9,955 9,822 -1.3 7,169 7,696 +7.4 3,940 3,915 -0.6 22,071 22,941 +3.9
3,330 3,099 -6.9 4,923 4,849 -1.5 4,128 3,949 -4.3 2,645 2,384 -9.9 1,799 1,747 -2.9 985 1,011 +2.6 3,998 3,899 -2.5
3,550 3,399 -4.3 5,195 5,157 -0.7 4,497 4,278 -4.9 2,776 2,886 +4.0 2,026 1,984 -2.1 1,037 1,121 +8.1 4,706 4,885 +3.8
20,105 18,994 -5.5 23,373 23,398 +0.1 20,089 20,044 -0.2 12,215 12,487 +2.2 8,412 8,536 +1.5 5,378 5,318 -1.1 17,092 17,107 +0.1
18,406 17,574 -4.5 21,569 21,061 -2.4 16,076 15,901 -1.1 9,766 9,474 -3.0 7,368 7,909 +7.3 5,707 5,980 +4.8 27,053 26,242 -3.0
12,845 12,110 -5.7 19,002 19,149 +0.8 17,155 16,509 -3.8 11,364 11,449 +0.7 9,688 10,017 +3.4 8,002 8,062 +0.7 24,404 24,327 -0.3
24,093 23,760 -1.4 34,824 34,202 -1.8 28,874 28,135 -2.6 19,240 19,304 +0.3 15,962 16,488 +3.3 12,993 12,803 -1.5 55,470 52,729 -4.9
12,591 11,799 -6.3 16,875 17,043 +1.0 21,426 21,506 +0.4 17,663 17,064 -3.4 18,042 18,355 +1.7 22,755 22,774 +0.1 41,158 41,693 +1.3
2006 2007 Percent change 2006 2007 Percent change
5,520 5,668 +2.7 24,644 24,072 -2.3
348 354 +1.7 1,808 1,683 -6.9
1,565 1,723 +10.1 36,547 37,715 +3.2
401 371 -7.5 7,503 7,143 -4.8
578 564 -2.4 8,587 8,781 +2.3
1,446 1,429 -1.2 34,407 34,828 +1.2
7,157 7,030 -1.8 39,968 39,502 -1.2
5,915 6,145 +3.9 40,557 40,702 +0.4
11,832 12,418 +5.0 84,725 82,158 -3.0
16,664 17,178 +3.1 74,630 74,893 +0.4
area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. * = Less than one-tenth of 1 percent.
SECTION II: OFFENSES REPORTED 293 Table 15. Crime Trends, by Population Group, 2006–2007 (Contd.) (Number, percent change.) Burglary Population group
TOTAL ALL AGENCIES: ...............
2006 2007 Percent change TOTAL CITIES.............................. 2006 2007 Percent change GROUP I (250,000 and over) ....... 2006 2007 Percent change 1,000,000 and over (Group I subset) ......................... 2006 2007 Percent change 500,000 to 999,999 (Group I subset) ......................... 2006 2007 Percent change 250,000 to 499,999 (Group I subset) ......................... 2006 2007 Percent change GROUP II (100,000 to 249,999) ... 2006 2007 Percent change GROUP III (50,000 to 99,999)...... 2006 2007 Percent change GROUP IV (25,000 to 49,999)...... 2006 2007 Percent change GROUP V (10,000 to 24,999) ....... 2006 2007 Percent change GROUP VI (under 10,000) ........... 2006 2007 Percent change METROPOLITAN COUNTIES..................................... 2006 2007 Percent change NONMETROPOLITAN COUNTIES..................................... 2006 2007 Percent change SUBURBAN AREA1........................ 2006 2007 Percent change
Forcible entry
Unlawful entry
Motor vehicle theft Attempted forcible entry
Autos
Trucks and buses
Arson
Other vehicles
Structure
Mobile
Other
1,145,764 1,150,463 +0.4 832,298 831,876 -0.1 299,408 303,405 +1.3
618,929 612,002 -1.1 445,061 438,158 -1.6 120,422 113,489 -5.8
124,760 122,461 -1.8 94,861 94,488 -0.4 28,833 28,352 -1.7
769,813 702,737 -8.7 623,539 565,557 -9.3 278,150 250,106 -10.1
187,272 174,464 -6.8 145,967 136,152 -6.7 82,921 78,059 -5.9
89,944 83,013 -7.7 58,721 52,486 -10.6 21,584 17,735 -17.8
26,729 25,077 -6.2 19,889 18,912 -4.9 6,968 6,456 -7.3
18,051 16,604 -8.0 12,853 11,667 -9.2 6,498 5,796 -10.8
18,824 17,264 -8.3 13,532 12,530 -7.4 4,051 3,811 -5.9
91,080 98,510 +8.2
35,901 35,794 -0.3
6,880 7,302 +6.1
89,034 80,390 -9.7
38,542 37,273 -3.3
8,210 7,473 -9.0
2,059 1,931 -6.2
2,580 2,311 -10.4
117,184 113,754 -2.9
41,443 38,226 -7.8
13,111 12,077 -7.9
101,952 89,512 -12.2
22,325 22,164 -0.7
8,416 6,194 -26.4
2,418 2,174 -10.1
91,144 91,141 * 144,190 143,057 -0.8 134,370 132,918 -1.1 96,714 95,419 -1.3 87,050 87,387 +0.4 70,566 69,690 -1.2
43,078 39,469 -8.4 73,705 75,968 +3.1 79,741 80,044 +0.4 59,270 58,053 -2.1 59,198 58,241 -1.6 52,725 52,363 -0.7
8,842 8,973 +1.5 17,228 17,423 +1.1 16,478 16,327 -0.9 12,339 12,936 +4.8 10,735 10,641 -0.9 9,248 8,809 -4.7
87,164 80,204 -8.0 113,561 103,934 -8.5 97,311 88,044 -9.5 59,353 53,439 -10.0 44,866 41,861 -6.7 30,298 28,173 -7.0
22,054 18,622 -15.6 23,868 21,906 -8.2 17,274 15,883 -8.1 8,730 8,473 -2.9 8,024 7,050 -12.1 5,150 4,781 -7.2
4,958 4,068 -18.0 9,422 8,867 -5.9 9,536 8,520 -10.7 7,127 6,723 -5.7 5,869 5,557 -5.3 5,183 5,084 -1.9
228,287 233,779 +2.4
130,684 129,224 -1.1
23,883 21,959 -8.1
125,115 116,470 -6.9
35,930 33,131 -7.8
85,179 84,808 -0.4 378,881 384,030 +1.4
43,184 44,620 +3.3 238,275 235,030 -1.4
6,016 6,014 * 44,441 42,620 -4.1
21,159 20,710 -2.1 224,516 206,662 -8.0
5,375 5,181 -3.6 51,527 47,547 -7.7
Number of agencies
2007 estimated population
13,442
255,978,005
9,507
167,809,773
66
41,081,765
1,481 1,362 -8.0
8
14,175,600
1,933 1,692 -12.5
1,405 1,310 -6.8
21
14,002,903
2,491 2,351 -5.6 3,084 3,237 +5.0 3,377 2,944 -12.8 2,174 2,082 -4.2 2,140 2,203 +2.9 2,146 1,990 -7.3
1,985 1,793 -9.7 1,936 1,789 -7.6 1,873 1,711 -8.6 1,036 1,029 -0.7 868 771 -11.2 642 571 -11.1
1,165 1,139 -2.2 1,947 1,793 -7.9 2,443 2,230 -8.7 2,046 1,886 -7.8 1,521 1,401 -7.9 1,524 1,409 -7.5
37
12,903,262
173
25,864,109
433
29,776,050
723
24,913,403
1,594
25,323,890
6,518
20,850,556
24,053 23,318 -3.1
4,868 4,402 -9.6
4,345 4,103 -5.6
4,179 3,578 -14.4
1,644
62,976,299
7,170 7,209 +0.5 36,031 34,754 -3.5
1,972 1,763 -10.6 8,721 8,010 -8.2
853 834 -2.2 5,938 5,577 -6.1
1,113 1,156 +3.9 7,559 6,751 -10.7
2,291
25,191,933
7,072
112,636,189
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. * = Less than one-tenth of 1 percent.
294
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 16. Crime Per 100,000 Population, by Population Group, 2007 (Number, rate.) Murder and nonnegligent manslaughter
Violent crime
Forcible rape
Robbery
Aggravated assault
Population group Number of offenses known TOTAL ALL AGENCIES: ...................................................... TOTAL CITIES..................................................................... GROUP I (250,000 and over) .............................................. 1,000,000 and over (Group I subset) ............................... 500,000 to 999,999 (Group I subset)................................ 250,000 to 499,999 (Group I subset)................................ GROUP II (100,000 to 249,999) .......................................... GROUP III (50,000 to 99,999)............................................. GROUP IV (25,000 to 49,999)............................................. GROUP V (10,000 to 24,999) .............................................. GROUP VI (under 10,000) .................................................. METROPOLITAN COUNTIES........................................ NONMETROPOLITAN COUNTIES1 ............................. SUBURBAN AREA2...............................................................
1,310,062 1,042,793 482,214 209,784 158,406 114,024 177,852 138,044 94,816 81,046 68,821 213,529 53,740 360,216
Rate
484.3 570.5 893.8 831.8 989.3 896.6 635.6 467.6 377.0 319.5 330.3 338.4 218.4 318.5
Property crime
Number of offenses known 15,872 12,426 6,440 2,790 2,195 1,455 2,396 1,432 880 746 532 2,630 816 3,871
Rate
5.9 6.8 11.9 11.1 13.7 11.4 8.6 4.9 3.5 2.9 2.6 4.2 3.3 3.4
Burglary
Number of offenses known
Rate
81,398 60,193 19,577 6,985 6,876 5,716 10,619 9,440 7,571 7,040 5,946 14,870 6,335 26,443
30.1 32.9 36.3 27.7 42.9 44.9 37.9 32.0 30.1 27.8 28.5 23.6 25.7 23.4
Larceny-theft
Number of offenses known 421,286 366,962 198,421 94,385 61,177 42,859 63,376 45,208 27,957 20,306 11,694 50,286 4,038 90,648
Rate
155.7 200.7 367.8 374.2 382.1 337.0 226.5 153.1 111.2 80.1 56.1 79.7 16.4 80.1
TOTAL ALL AGENCIES: ...................................................... TOTAL CITIES..................................................................... GROUP I (250,000 and over) .............................................. 1,000,000 and over (Group I subset) ............................... 500,000 to 999,999 (Group I subset)................................ 250,000 to 499,999 (Group I subset)................................ GROUP II (100,000 to 249,999) .......................................... GROUP III (50,000 to 99,999)............................................. GROUP IV (25,000 to 49,999)............................................. GROUP V (10,000 to 24,999) .............................................. GROUP VI (under 10,000) .................................................. METROPOLITAN COUNTIES........................................ NONMETROPOLITAN COUNTIES1 ............................. SUBURBAN AREA2............................................................... 1
9,026,804 7,069,874 2,407,464 923,358 868,175 615,931 1,218,215 1,074,797 850,936 807,069 711,393 1,544,543 412,387 3,039,970
Rate
3,337.0 3,867.5 4,462.4 3,661.2 5,421.8 4,843.3 4,353.5 3,640.7 3,383.8 3,181.7 3,414.6 2,447.7 1,676.0 2,687.8
Number of offenses known 1,987,601 1,464,743 511,856 187,272 188,743 135,841 262,786 227,456 168,866 159,940 133,839 390,058 132,800 672,268
Rate
734.8 801.3 948.8 742.5 1,178.7 1,068.2 939.1 770.5 671.5 630.5 642.4 618.2 539.7 594.4
Number of offenses known 6,008,141 4,782,773 1,501,615 579,090 540,743 381,782 802,535 735,297 612,512 592,013 538,801 978,458 246,910 2,073,913
Rate
2,221.1 2,616.4 2,783.3 2,296.1 3,377.0 3,002.1 2,868.0 2,490.7 2,435.7 2,333.9 2,586.2 1,550.6 1,003.5 1,833.7
Rate
791,506 603,212 257,776 105,624 88,158 63,994 101,461 81,964 58,408 52,954 50,649 145,743 42,551 239,254
292.6 330.0 477.8 418.8 550.6 503.2 362.6 277.6 232.3 208.8 243.1 231.0 172.9 211.5
Motor vehicle theft Number of agencies
Population group Number of offenses known
Number of offenses known
Number of offenses known 1,031,062 822,358 393,993 156,996 138,689 98,308 152,894 112,044 69,558 55,116 38,753 176,027 32,677 293,789
2007 estimated population
Rate
381.2 449.9 730.3 622.5 866.1 773.0 546.4 379.5 276.6 217.3 186.0 279.0 132.8 259.8
13,424 9,428 71 10 24 37 186 429 729 1,597 6,416 1,674 2,322 7,073
270,507,141 182,801,234 53,950,146 25,220,230 16,012,700 12,717,216 27,982,204 29,521,792 25,147,055 25,366,317 20,833,720 63,100,718 24,605,189 113,100,574
Includes state police agencies that report aggregately for the entire state. Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. 2
SECTION II: OFFENSES REPORTED 295 Table 17. Crime Per 100,000 Population, by Suburban and Nonsuburban Cities,1 by Population Group, 2007 (Number, rate.) Murder and nonnegligent manslaughter
Violent crime Population group
TOTAL SUBURBAN CITIES:............................................... GROUP IV (25,000 to 49,999)................................................. GROUP V (10,000 to 24,999) .................................................. GROUP VI (under 10,000) ...................................................... TOTAL NONSUBURBAN CITIES: ..................................... GROUP IV (25,000 to 49,999)................................................. GROUP V (10,000 to 24,999) .................................................. GROUP VI (under 10,000) ......................................................
Number of agencies
5,399 543 1,188 3,668 3,343 186 409 2,748
2007 estimated population
49,999,856 18,449,735 18,973,554 12,576,567 21,347,236 6,697,320 6,392,763 8,257,153
Aggravated assault Population group
TOTAL SUBURBAN CITIES:............................................... GROUP IV (25,000 to 49,999)................................................. GROUP V (10,000 to 24,999) .................................................. GROUP VI (under 10,000) ...................................................... TOTAL NONSUBURBAN CITIES: ..................................... GROUP IV (25,000 to 49,999)................................................. GROUP V (10,000 to 24,999) .................................................. GROUP VI (under 10,000) ......................................................
Number of offenses known 93,511 34,169 32,407 26,935 68,500 24,239 20,547 23,714
Rate
187 185.2 170.8 214.2 320.9 361.9 321.4 287.2
Number of offenses known 146,693 56,734 51,442 38,517 97,981 38,059 29,616 30,306
Rate
293.4 307.5 271.1 306.3 459 568.3 463.3 367
Property crime Number of offenses known 1,495,427 536,333 521,278 437,816 873,971 314,603 285,791 273,577
Rate
2,990.90 2,907.00 2,747.40 3,481.20 4,094.10 4,697.40 4,470.50 3,313.20
Number of offenses known
Forcible rape
Number of offenses known
Rate
1,241 525 452 264 917 355 294 268
2.5 2.8 2.4 2.1 4.3 5.3 4.6 3.2
Burglary Number of offenses known 282,210 104,167 100,194 77,849 180,435 64,699 59,746 55,990
Robbery
Rate
11,579 4,200 4,154 3,225 8,969 3,348 2,898 2,723
23.2 22.8 21.9 25.6 42 50 45.3 33
Larceny-theft
Rate
564.4 564.6 528.1 619 845.2 966 934.6 678.1
Number of offenses known 1,095,455 382,097 379,765 333,593 647,871 230,415 212,248 205,208
Rate
2,190.90 2,071.00 2,001.50 2,652.50 3,034.90 3,440.40 3,320.10 2,485.20
Number of offenses known 40,362 17,840 14,429 8,093 19,595 10,117 5,877 3,601
Rate
80.7 96.7 76 64.3 91.8 151.1 91.9 43.6
Motor vehicle theft Number of offenses known 117,762 50,069 41,319 26,374 45,665 19,489 13,797 12,379
Rate
235.5 271.4 217.8 209.7 213.9 291 215.8 149.9
1 Suburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are within a Metropolitan Statistical Area. Suburban cities exclude all metropolitan agencies associated with a principal city. Nonsuburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are not associated with a Metropolitan Statistical Area.
296
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 18. Crime Per 100,000 Population, by Metropolitan and Nonmetropolitan Counties1, by Population Group, 2007 (Number, rate.) Murder and nonnegligent manslaughter
Violent crime Population group
Number of offenses known METROPOLITAN COUNTIES......................................... 100,000 and over 25,000 to 99,999 Under 25,000 NONMETROPOLITAN COUNTIES......................................... 25,000 and over 10,000 to 24,999 Under 10,000
Rate
NONMETROPOLITAN COUNTIES.........................................
1
Aggravated assault
Number of offenses known
Number of offenses known
Rate
Rate
Number of offenses known
Rate
25,000 and over 10,000 to 24,999 Under 10,000
Rate
1,804 595 231
4.7 2.9 5.5
8,767 4,479 1,636
22.9 21.8 38.9
43,001 5,050 2,235
112.2 24.6 53.2
97,748 34,961 13,034
255.0 170.0 310.1
23,104 15,936 8,830
220.1 180.5 236.8
295 245 140
2.8 2.8 3.8
2,404 1,649 1,438
22.9 18.7 38.6
1,990 1,048 364
19.0 11.9 9.8
18,415 12,994 6,888
175.4 147.2 184.7
Burglary
Larceny-theft
Motor vehicle theft Number of agencies
Population range
100,000 and over 25,000 to 99,999 Under 25,000
Number of offenses known
394.7 219.3 407.6
Number of offenses known METROPOLITAN COUNTIES.........................................
Robbery
151,320 45,085 17,136
Property crime Population group
Forcible rape
Population range
Rate
Number of offenses known
Rate
Number of offenses known
Rate
Number of offenses known
2007 estimated population
Rate
1,037,241 376,633 130,669
2,705.7 1,831.7 3,108.3
252,419 107,850 29,789
658.4 524.5 708.6
663,226 237,508 77,724
1,730.1 1,155.1 1,848.9
121,596 31,275 23,156
317.2 152.1 550.8
143 404 1,127
38,335,337 20,561,550 4,203,831
183,457 126,152 63,389
1,747.5 1,428.7 1,699.7
60,651 40,605 19,240
577.7 459.9 515.9
108,796 76,023 38,668
1,036.3 861.0 1,036.8
14,010 9,524 5,481
133.5 107.9 147.0
267 545 1,357
10,498,166 8,829,893 3,729,374
Metropolitan counties include sheriffs and county law enforcement agencies associated with a Metropolitan Statistical Area. Nonmetropolitan counties include sheriffs and county law enforcement agencies that are not associated with a Metropolitan Statistical Area. The offenses from state police agencies are not included in this table.
SECTION II: OFFENSES REPORTED 297 Table 19. Crime Per 100,000 Population, Selected Known Offenses, by Population Group, 2007 (Number, rate.) Forcible rape Population group
TOTAL ALL AGENCIES:......
TOTAL CITIES ........................
GROUP I (250,000 and over).................
1,000,000 and over (Group I subset) ................
500,000 to 999,999 (Group I subset) ................
250,000 to 499,999 (Group I subset) ................
GROUP II (100,000 to 249,999)...................................
GROUP III (50,000 to 99,999).....................................
GROUP IV (25,000 to 49,999).....................................
GROUP V (10,000 to 24,999).....................................
GROUP VI (under 10,000)........................
METROPOLITAN COUNTIES ...........................
NONMETROPOLITAN COUNTIES ...........................
SUBURBAN AREA1 ..............
Rape by force Number of offenses known Rate Number of offenses known Rate
Robbery
Assault to rapeattempts
Firearm
Knife or cutting instrument
Aggravated assault
Other weapon
Strong-arm
Firearm
Knife or cutting instrument
Other weapon
Hands, fists, feet, etc.
72,559 28.4
6,177 2.4
158,240 61.9
30,689 12.0
33,358 13.1
147,285 57.7
155,963 61.1
137,032 53.6
249,372 97.6
187,366 73.3
52,800 31.3
4,911 2.9
133,664 79.2
26,415 15.7
27,929 16.5
128,705 76.3
122,796 72.8
106,678 63.2
183,793 108.9
129,537 76.8
Number of offenses known Rate
15,949 38.5
1,920 4.6
70,146 169.3
12,239 29.5
12,275 29.6
57,919 139.8
60,423 145.8
40,260 97.2
71,094 171.6
31,522 76.1
Number of offenses known Rate
4,558 32.2
770 5.4
25,832 182.2
5,266 37.1
4,559 32.2
21,516 151.8
19,444 137.2
12,987 91.6
19,915 140.5
8,559 60.4
Number of offenses known Rate
5,923 40.0
615 4.2
25,971 175.5
3,958 26.7
4,781 32.3
18,587 125.6
23,950 161.8
15,538 105.0
27,828 188.0
11,417 77.1
Number of offenses known Rate
5,468 43.9
535 4.3
18,343 147.2
3,015 24.2
2,935 23.5
17,816 142.9
17,029 136.6
11,735 94.2
23,351 187.4
11,546 92.6
Number of offenses known Rate
9,096 34.2
840 3.2
24,751 93.1
5,031 18.9
5,306 20.0
24,284 91.4
22,770 85.7
19,959 75.1
35,053 131.9
18,057 67.9
Number of offenses known Rate
8,692 29.5
690 2.3
16,927 57.5
3,901 13.3
4,273 14.5
19,783 67.2
15,837 53.8
16,442 55.9
28,095 95.5
21,373 72.6
Number of offenses known Rate
7,068 28.1
503 2.0
9,927 39.5
2,435 9.7
2,944 11.7
12,651 50.3
9,603 38.2
11,693 46.5
19,905 79.2
17,207 68.4
Number of offenses known Rate
6,571 25.9
446 1.8
7,865 31.0
1,766 7.0
1,990 7.9
8,634 34.1
8,062 31.8
10,128 40.0
16,564 65.4
18,131 71.5
Number of offenses known Rate
5,424 26.0
512 2.5
4,048 19.4
1,043 5.0
1,141 5.5
5,434 26.1
6,101 29.3
8,196 39.4
13,082 62.8
23,247 111.6
Number of offenses known Rate
13,787 22.2
919 1.5
22,851 36.8
3,905 6.3
4,880 7.9
17,190 27.7
26,174 42.1
24,239 39.0
53,176 85.6
40,899 65.8
5,972 24.3
347 1.4
1,725 7.0
369 1.5
549 2.2
1,390 5.7
6,993 28.5
6,115 24.9
12,403 50.5
16,930 68.9
24,534 21.9
1,720 1.5
37,873 33.8
7,239 6.5
8,858 7.9
35,164 31.4
39,552 35.3
40,926 36.5
83,329 74.3
74,157 66.2
Number of offenses known Rate Number of offenses known Rate
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
298
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 19. Crime Per 100,000 Population, Selected Known Offenses, by Population Group, 2007 (Contd.) (Number, rate.) Burglary Population group
TOTAL ALL AGENCIES: .............................
TOTAL CITIES ................................................
GROUP I (250,000 and over) .....................
1,000,000 and over (Group I subset) ......
500,000 to 999,999 (Group I subset) .......
250,000 to 499,999 (Group I subset) .......
GROUP II (100,000 to 249,999)..................
GROUP III (50,000 to 99,999) ....................
GROUP IV (25,000 to 49,999) ....................
GROUP V (10,000 to 24,999)......................
GROUP VI (under 10,000)..........................
METROPOLITAN COUNTIES ...............
NONMETROPOLITAN COUNTIES .....
SUBURBAN AREA1 ......................................
1
Forcible entry Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate Number of offenses known Rate
Unlawful entry
Motor vehicle theft Attempted forcible entry
Autos
Trucks and buses
Other vehicles
Number of agencies
2007 estimated population
1,161,059 454.5
615,925 241.1
123,077 48.2
714,975 279.9
175,948 68.9
83,595 32.7
13,360
255,465,442
846,982 501.9
443,002 262.5
95,810 56.8
577,830 342.4
138,003 81.8
53,464 31.7
9,406
168,757,929
307,961 743.2
113,670 274.3
29,608 71.4
250,472 604.4
79,167 191.0
18,230 44.0
66
41,439,145
98,510 694.9
35,794 252.5
7,302 51.5
80,390 567.1
37,273 262.9
7,473 52.7
8
14,175,600
123,307 833.1
40,743 275.3
13,392 90.5
95,375 644.4
23,428 158.3
6,747 45.6
22
14,800,171
86,144 691.2
37,133 297.9
8,914 71.5
74,707 599.4
18,466 148.2
4,010 32.2
36
12,463,374
150,485 566.1
78,982 297.1
17,500 65.8
114,996 432.6
22,726 85.5
9,291 35.0
177
26,581,642
130,534 443.6
79,005 268.5
16,171 55.0
87,185 296.3
15,625 53.1
8,375 28.5
428
29,424,744
96,749 384.7
58,990 234.6
13,127 52.2
54,293 215.9
8,513 33.9
6,752 26.9
729
25,147,055
89,839 354.5
58,886 232.4
10,590 41.8
42,297 166.9
7,065 27.9
5,575 22.0
1,595
25,341,547
71,414 342.9
53,469 256.8
8,814 42.3
28,587 137.3
4,907 23.6
5,241 25.2
6,411
20,823,796
231,053 371.9
128,826 207.4
21,708 34.9
116,862 188.1
32,823 52.8
22,937 36.9
1,659
62,129,516
83,024 337.8
44,097 179.4
5,559 22.6
20,283 82.5
5,122 20.8
7,194 29.3
2,295
24,577,997
384,243 342.8
236,458 210.9
42,591 38.0
208,236 185.8
47,437 42.3
34,527 30.8
7,054
112,103,749
Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
SECTION II: OFFENSES REPORTED 299 Table 20. Murder, by State and Type of Weapon, 2007 (Number.) State
Alabama..................................... Alaska......................................... Arizona....................................... Arkansas .................................... California ................................... Colorado .................................... Connecticut................................ Delaware .................................... Georgia....................................... Hawaii ........................................ Idaho........................................... Illinois3 ....................................... Indiana ....................................... Iowa ............................................ Kansas ........................................ Kentucky .................................... Louisiana.................................... Maine.......................................... Maryland .................................... Massachusetts ............................ Michigan..................................... Minnesota .................................. Mississippi .................................. Missouri...................................... Montana ..................................... Nebraska .................................... Nevada ....................................... New Hampshire......................... New Jersey ................................. New Mexico ............................... New York ................................... North Carolina .......................... North Dakota ............................ Ohio ............................................ Oklahoma .................................. Oregon ....................................... Pennsylvania .............................. Rhode Island ............................. South Carolina .......................... South Dakota ............................ Tennessee ................................... Texas ........................................... Utah ............................................ Vermont ..................................... Virginia....................................... Washington ................................ West Virginia ............................. Wisconsin ................................... Wyoming .................................... 1 Total
Total murders1
385 43 464 191 2,249 150 95 37 674 12 49 463 333 36 104 196 577 21 553 182 672 107 152 351 14 22 192 11 380 148 800 555 12 486 222 72 719 19 349 15 397 1,419 58 12 406 170 59 182 16
Total firearms
Handguns
285 21 323 130 1,605 85 57 22 485 3 25 343 231 12 63 131 455 9 414 114 444 61 119 247 10 9 123 7 260 81 500 369 3 299 132 38 527 9 235 4 252 946 38 9 287 99 37 121 7
number of murders for which supplemental homicide data were received. is included in hands, fists, feet, etc. 3 Limited supplemental homicide data were received. 2 Pushed
262 13 265 92 1,374 56 37 19 401 3 11 330 160 4 29 111 339 3 388 65 180 52 102 92 5 7 92 5 244 66 113 252 3 187 105 15 439 3 144 2 190 727 22 5 163 78 18 86 2
Rifles
Firearms (type unknown)
Shotguns
7 4 35 7 51 0 0 0 24 0 6 4 12 2 5 5 31 0 9 1 29 7 5 18 0 0 7 0 1 10 12 17 0 6 9 2 18 0 6 1 11 58 0 2 5 5 7 9 2
16 3 11 10 74 2 4 0 30 0 1 6 9 1 3 11 15 1 11 3 26 2 9 10 2 0 4 0 5 1 9 24 0 15 8 4 10 0 18 1 11 60 0 1 10 6 1 5 2
0 1 12 21 106 27 16 3 30 0 7 3 50 5 26 4 70 5 6 45 209 0 3 127 3 2 20 2 10 4 366 76 0 91 10 17 60 6 67 0 40 101 16 1 109 10 11 21 1
Knives or cutting instruments 38 5 44 20 298 23 14 6 84 3 5 53 38 11 12 19 45 6 53 31 64 15 15 34 2 2 25 2 46 20 142 63 1 45 35 12 81 7 40 3 50 177 5 2 48 27 5 18 2
Other weapons
Hands, fists, feet, etc.2 47 5 67 29 228 25 20 8 99 1 14 57 44 8 23 27 55 4 63 23 134 20 12 55 1 6 32 2 37 26 124 83 4 101 36 18 88 3 60 6 72 203 10 0 51 29 7 27 1
15 12 30 12 118 17 4 1 6 5 5 10 20 5 6 19 22 2 23 14 30 11 6 15 1 5 12 0 37 21 34 40 4 41 19 4 23 0 14 2 23 93 5 1 20 15 10 16 6
300
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 21. Robbery, by State and Type of Weapon, 2007 (Number.) State Alabama ............................................. Alaska ................................................. Arizona ............................................... Arkansas ............................................. California ............................................ Colorado ............................................. Connecticut ........................................ Delaware............................................. District of Columbia2 ........................ Florida................................................. Georgia ............................................... Hawaii ................................................. Idaho ................................................... Illinois2 ................................................ Indiana ................................................ Iowa..................................................... Kansas ................................................. Kentucky............................................. Louisiana ............................................ Maine .................................................. Maryland............................................. Massachusetts..................................... Michigan ............................................. Minnesota ........................................... Mississippi........................................... Missouri .............................................. Montana.............................................. Nebraska............................................. Nevada ................................................ New Hampshire ................................. New Jersey.......................................... New Mexico........................................ New York ............................................ North Carolina ................................... North Dakota ..................................... Ohio..................................................... Oklahoma ........................................... Oregon ................................................ Pennsylvania....................................... Rhode Island ...................................... South Carolina ................................... South Dakota ..................................... Tennessee............................................ Texas.................................................... Utah..................................................... Vermont .............................................. Virginia ............................................... Washington ......................................... West Virginia ...................................... Wisconsin............................................ Wyoming............................................. 1 The
Total robberies1 2,910 578 9,437 2,954 70,202 3,392 3,101 1,686 276 38,073 15,430 943 229 633 6,961 1,277 2,735 3,419 5,410 349 9,333 6,355 13,182 4,647 2,162 5,351 188 1,067 6,930 174 12,526 1,988 9,236 11,263 67 12,676 3,368 2,816 18,907 545 5,748 100 10,974 38,747 1,401 80 7,522 5,918 753 5,470 83
Firearms 1,579 173 4,648 1,415 23,355 1,339 1,058 691 62 17,911 9,647 91 92 249 3,382 325 1,272 1,384 2,980 73 4,346 1,605 6,270 1,518 1,253 2,603 46 475 3,043 44 4,032 908 2,713 6,208 21 4,697 1,503 761 8,029 146 3,054 25 6,380 17,862 459 28 4,057 1,336 261 2,809 22
Knives or cutting instruments 199 64 964 173 6,581 311 348 122 20 2,548 676 76 23 43 473 118 294 258 269 36 925 1,265 699 294 109 358 24 100 618 24 1,210 288 1,013 797 4 732 260 272 1,395 70 477 18 771 3,628 186 10 563 535 102 332 14
Other weapons
Strong-arm
245 75 888 291 6,547 346 311 128 11 3,437 1,244 63 32 75 492 159 255 669 311 27 523 711 1,211 658 275 369 39 83 603 28 824 133 1,122 974 9 1,002 311 273 1,170 70 516 19 1,033 3,683 163 11 734 567 89 541 8
number of robberies for which breakdowns by type of weapon were received from agencies that submitted 12 months of data in 2007. data were received. … = Not available. 2 Limited
887 266 2,937 1,075 33,719 1,396 1,384 745 183 14,177 3,863 713 82 266 2,614 675 914 1,108 1,850 213 3,539 2,774 5,002 2,177 525 2,021 79 409 2,666 78 6,460 659 4,388 3,284 33 6,245 1,294 1,510 8,313 259 1,701 38 2,790 13,574 593 31 2,168 3,480 301 1,788 39
Agency count 290 32 77 233 715 207 93 53 2 590 360 1 107 1 266 186 229 279 117 164 154 314 516 299 99 585 87 214 33 131 513 68 634 322 60 372 285 150 998 41 479 96 452 987 112 78 339 233 276 370 61
Population 2,833,181 667,568 5,946,033 2,524,285 36,216,791 4,691,449 3,116,015 853,712 … 18,136,624 7,730,570 905,903 1,476,361 155,713 4,814,390 2,644,602 2,734,933 3,476,669 3,447,958 1,317,207 4,940,435 5,754,717 9,463,609 4,808,769 1,641,272 5,361,516 913,685 1,474,140 2,546,867 891,903 8,644,483 1,519,970 10,777,671 6,983,777 568,361 7,489,853 3,548,670 3,606,874 11,408,646 790,879 4,075,106 638,914 6,001,560 23,853,606 2,507,132 608,835 7,418,848 6,062,127 1,408,314 5,548,443 516,496
SECTION II: OFFENSES REPORTED 301 Table 22. Aggravated Assault, by State and Type of Weapon, 2007 (Number.) State Alabama ............................................. Alaska ................................................. Arizona ............................................... Arkansas ............................................. California ............................................ Colorado ............................................. Connecticut ........................................ Delaware............................................. District of Columbia2 ........................ Florida................................................. Georgia ............................................... Hawaii ................................................. Idaho ................................................... Illinois2 ................................................ Indiana ................................................ Iowa..................................................... Kansas ................................................. Kentucky............................................. Louisiana ............................................ Maine .................................................. Maryland............................................. Massachusetts..................................... Michigan ............................................. Minnesota ........................................... Mississippi........................................... Missouri .............................................. Montana.............................................. Nebraska............................................. Nevada ................................................ New Hampshire ................................. New Jersey.......................................... New Mexico........................................ New York ............................................ North Carolina ................................... North Dakota ..................................... Ohio..................................................... Oklahoma ........................................... Oregon ................................................ Pennsylvania....................................... Rhode Island ...................................... South Carolina ................................... South Dakota ..................................... Tennessee............................................ Texas.................................................... Utah..................................................... Vermont .............................................. Virginia ............................................... Washington ......................................... West Virginia ...................................... Wisconsin............................................ Wyoming............................................. 1 The
Total aggravated assaults1 6,538 3,293 16,952 9,803 107,899 11,013 3,734 3,833 120 85,228 22,569 1,425 2,695 1,342 10,047 6,141 8,642 5,607 18,850 793 15,207 17,493 34,356 7,869 2,582 17,390 2,160 3,337 10,987 713 14,565 7,755 17,563 21,146 587 11,736 12,458 6,176 26,467 1,060 24,362 778 32,445 73,275 3,635 553 10,639 12,323 3,227 9,394 971
Firearms 1,906 589 4,863 2,565 21,547 2,154 467 829 11 17,244 6,042 114 468 595 1,719 575 2,624 1,152 4,760 44 2,216 1,758 8,627 1,369 792 3,660 299 494 2,233 130 2,235 1,531 2,328 6,060 14 2,697 2,239 721 5,353 201 6,058 105 9,645 17,174 660 69 1,998 1,914 759 2,258 98
Knives or cutting instruments 945 690 2,994 1,723 17,243 2,489 839 820 59 15,239 4,228 382 544 251 1,529 1,136 1,737 750 3,047 150 3,466 4,083 6,278 1,667 488 2,401 325 612 2,029 233 3,171 1,391 4,527 4,120 82 2,454 1,905 1,045 3,903 300 4,313 270 6,928 16,829 963 104 2,381 2,130 652 1,027 160
Other weapons 1,409 865 5,561 2,501 39,473 3,041 1,349 1,790 34 35,435 6,207 461 899 349 3,246 1,419 2,725 2,380 4,753 254 5,530 9,244 12,300 2,197 613 4,933 678 1,628 5,027 171 4,538 2,593 5,272 5,891 128 3,681 4,640 2,187 6,727 443 6,935 226 12,396 25,211 1,270 115 3,469 4,007 828 2,041 302
Personal weapons 2,278 1,149 3,534 3,014 29,636 3,329 1,079 394 16 17,310 6,092 468 784 147 3,553 3,011 1,556 1,325 6,290 345 3,995 2,408 7,151 2,636 689 6,396 858 603 1,698 179 4,621 2,240 5,436 5,075 363 2,904 3,674 2,223 10,484 116 7,056 177 3,476 14,061 742 265 2,791 4,272 988 4,068 411
number of aggravated assaults for which breakdowns by type of weapon were received from agencies that submitted 12 months of data in 2007. Limited data were received. …= Not available 2
Agency count 290 32 77 233 715 207 93 53 2 590 360 1 107 1 266 186 229 279 117 164 154 314 516 299 99 585 87 214 33 131 513 68 634 322 60 372 285 150 998 41 479 96 452 987 112 78 339 233 276 370 61
Population 2,833,181 667,568 5,946,033 2,524,285 36,216,791 4,691,449 3,116,015 853,712 … 18,136,624 7,730,570 905,903 1,476,361 155,713 4,814,390 2,644,602 2,734,933 3,476,669 3,447,958 1,317,207 4,940,435 5,754,717 9,463,609 4,808,769 1,641,272 5,361,516 913,685 1,474,140 2,546,867 891,903 8,644,483 1,519,970 10,777,671 6,983,777 568,361 7,489,853 3,548,670 3,606,874 11,408,646 790,879 4,075,106 638,914 6,001,560 23,853,606 2,507,132 608,835 7,418,848 6,062,127 1,408,314 5,548,443 516,496
302
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 23. Offense Analysis, by Classification and Percent Change, 2006–2007 (Number, percent, dollars.) Number of offenses 2007
Classification Murder Forcible rape Robbery: Robbery by location:
Burglary: Burglary by location:
Larceny-theft (except motor vehicle theft): Larceny-theft by type:
Larceny-theft by value:
Motor vehicle theft 1
Percent change from 2006
Percent distribution1
Average value
Total ....................................................................... Street/highway ...................................................... Commercial house................................................ Gas or service station........................................... Convenience store................................................ Residence .............................................................. Bank....................................................................... Miscellaneous ....................................................... Total ....................................................................... Residence (dwelling): .......................................... Residence Night ............................................... Residence Day.................................................. Residence Unknown........................................ Nonresidence (store, office, etc.): ....................... Nonresidence Night ......................................... Nonresidence Day............................................ Nonresidence Unknown..................................
13,296 71,857 345,200 151,048 48,102 9,125 19,336 52,353 7,175 58,061 1,749,497 1,187,318 338,681 593,020 255,617 562,179 235,608 182,318 144,253
-0.8 -3.7 +0.3 -0.2 +0.9 -5.3 +0.6 +4.7 -5.1 -1.0 -0.1 +2.2 +1.3 +4.1 -0.8 -4.5 -4.5 -2.8 -6.6
100.0 43.8 13.9 2.6 5.6 15.2 2.1 16.8 100.0 67.9 19.4 33.9 14.6 32.1 13.5 10.4 8.2
$1,321 1,113 1,499 1,097 800 1,516 4,201 1,391 1,991 1,991 1,484 2,168 2,252 1,989 1,727 1,833 2,615
Total ....................................................................... Pocket-picking ...................................................... Purse-snatching..................................................... Shoplifting ............................................................. From motor vehicles (except accessories)......... Motor vehicle accessories.................................... Bicycles .................................................................. From buildings ...................................................... From coin-operated machines ............................ All others............................................................... Over $200 .............................................................. $50 to $200............................................................. Under $50.............................................................. 914,243 ..................................................................
5,268,582 21,984 30,526 785,228 1,369,150 480,502 179,945 632,947 24,894 1,743,406 2,313,327 1,179,936 1,775,319 -8.1
-0.7 -3.5 -7.3 +11.2 -0.8 -7.0 -3.6 -3.0 -11.7 -2.0 +1.8 -0.9 -3.6 -
100.0 0.4 0.6 14.9 26.0 9.1 3.4 12.0 0.5 33.1 43.9 22.4 33.7 6,755
886 728 402 205 722 554 273 1,263 363 1,357 1,945 110 22
Because of rounding, the percentages may not add to 100.0.
Table 24. Property Stolen and Recovered, by Type and Value, 2007 (Dollars, percent.) Value of property Type of property
Percent recovered Stolen
Total ............................................................................................. Currency, notes, etc. ................................................................... Jewelry and precious metals...................................................... Clothing and furs ........................................................................ Locally stolen motor vehicles ................................................... Office equipment........................................................................ Televisions, radios, stereos, etc. ................................................. Firearms....................................................................................... Household goods........................................................................ Consumable goods ..................................................................... Livestock ..................................................................................... Miscellaneous .............................................................................
Recovered $15,028,201,693 1,117,732,026 1,350,982,461 279,002,874 6,465,991,690 656,982,032 874,806,433 116,746,215 294,237,686 130,696,065 27,372,148 3,713,652,063
$4,326,925,896 38,467,308 64,264,441 37,687,660 3,746,211,696 27,398,814 40,065,937 10,151,048 15,220,352 12,479,046 2,283,515 332,696,079
28.8 3.4 4.8 13.5 57.9 4.2 4.6 8.7 5.2 9.5 8.3 9.0
SECTION III:
OFFENSES CLEARED
SECTION III: OFFENSES CLEARED 305
OFFENSES CLEARED Figure 3-1. Percent of Crimes Cleared by Arrest or Exceptional Means, 2007 Murder and nonnegligent manslaughter Aggravated assault
Offense
Forcible rape Robbery Larceny-theft Motor vehicle theft Burglary 0
20
40
60
80
100
Percent
Law enforcement agencies that report crime to the Federal Bureau of Investigation (FBI) can clear, or “close,” offenses in one of two ways: by arrest or by exceptional means. However, the administrative closing of a case by a local law enforcement agency does not necessarily mean that the agency can clear an offense for UCR purposes. To clear an offense within the program’s guidelines, the reporting agency must adhere to certain criteria, which are outlined in this section. (Note: The UCR Program does not distinguish between offenses cleared by arrest and those cleared by exceptional means in its data presentations. The distinction is made solely for the purpose of a definition and not for data collection and publication.) See Appendix I for information on the UCR Program’s statistical methodology. Cleared by Arrest In the UCR Program, a law enforcement agency reports that an offense is cleared by arrest, or solved for crime reporting purposes, when at least one person is arrested, charged with the commission of the offense, and turned over to the court for prosecution (whether following arrest, court summons, or police notice). To qualify as a clearance, all of these conditions must be met. In its calculations, the UCR Program counts the number of offenses that are cleared, not the number of arrestees. Therefore, the arrest of one person may clear several crimes, and the arrest of many persons may clear only one offense. In addition, some clearances recorded by an agency
during a particular calendar year, such as 2007, may pertain to offenses that occurred in previous years. Cleared by Exceptional Means In certain situations, elements beyond law enforcement’s control prevent the agency from arresting and formally charging the offender. When this occurs, the agency can clear the offense exceptionally. There are four UCR Program requirements that law enforcement must meet in order to clear an offense by exceptional means. The agency must have: • Identified the offender • Gathered enough evidence to support an arrest, make a charge, and turn over the offender to the court for prosecution • Identified the offender’s exact location so that the suspect could be taken into custody immediately • Encountered a circumstance outside the control of law enforcement that prohibits the agency from arresting, charging, and prosecuting the offender Examples of exceptional clearances include, but are not limited to, the death of the offender (e.g., suicide or justifiably killed by a law enforcement officer or a citizen), the victim’s refusal to cooperate with the prosecution after the offender has been identified, or the denial of extradition
306
CRIME IN THE UNITED STATES (BERNAN PRESS)
because the offender committed a crime in another jurisdiction and is being prosecuted for that offense. In the UCR Program, the recovery of property does not clear an offense.
either metropolitan or nonmetropolitan counties). (A breakdown of these classifications is furnished in Appendix III.) Cities
National Clearances A review of the data for 2007 revealed law enforcement agencies in the United States cleared 44.5 percent of violent crimes (murder, forcible rape, robbery, and aggravated assault) and 16.5 percent of property crimes (burglary, larceny-theft, and motor vehicle theft) brought to their attention. In addition, law enforcement cleared 18.0 percent of arson offenses, which are reported in a slightly different manner than the other property crimes. (More details concerning this offense are furnished in the arson text in this section.) As in most years, law enforcement agencies cleared a higher percentage of violent crimes than property crimes in 2007. As a rule, this long-term trend is attributed to the more vigorous investigative efforts put forth for violent crimes. In addition, violent crimes more often involve victims and/or witnesses who are able to identify the perpetrators. A breakdown of the clearances for violent crimes for 2007 revealed that the nation’s law enforcement agencies cleared 61.2 percent of murder offenses, 54.1 percent of aggravated assault offenses, 40.0 percent of forcible rape offenses, and 25.9 percent of robbery offenses. The data for property crimes showed that agencies cleared 18.6 percent of larceny-theft offenses, 12.6 percent of motor vehicle theft offenses, and 12.4 percent of burglary offenses. (Table 25) Regional Clearances The UCR Program divides the nation into four regions: the Northeast, the Midwest, the South, and the West. (See Appendix III for further details.) A review of clearance data for 2007 by region showed that agencies in the Northeast cleared the greatest proportion of their violent crime offenses (49.7 percent). Law enforcement agencies in the South cleared 45.5 percent of their violent crimes, while agencies in the West and Midwest cleared 43.4 percent and 39.2 percent, respectively. Clearance data for 2007 showed that, among the regions, law enforcement agencies in the Northeast cleared the highest percentage of their property crimes (19.3 percent). Agencies in the South and Midwest cleared 17.1 percent and 16.2 percent, respectively. Agencies in the West cleared 14.5 percent of their property crimes. (Table 26) Clearances by Population Groups The UCR Program uses the following population group designations in its data presentations: cities (grouped according to population size) and counties (classified as
In 2007, the clearance data collected showed that law enforcement agencies in the nation’s cities cleared 42.5 percent of their violent crime offenses. Among the city population groups, agencies in the smallest cities, those with populations under 10,000 inhabitants, cleared the greatest proportion of their violent crime offenses (56.3 percent), and law enforcement in cities with 250,000 or more inhabitants cleared the smallest proportion of their violent crime offenses (36.5 percent). The clearance data for murder showed that among the city population groups, cities with populations of 10,000 to 24,999 inhabitants cleared the greatest percentage of their murders (71.6 percent). Law enforcement agencies in cities with 100,000 to 249,000 inhabitants cleared the lowest percentage of their murders (57.4 percent). A further review of the clearance data for 2007 showed that agencies in the nation’s cities collectively cleared 16.6 percent of their property crime offenses. Law enforcement in cities with 10,000 to 24,999 inhabitants cleared the highest proportion of the property crimes (20.6 percent) brought to their attention; cities with 500,000 to 999,999 inhabitants cleared the smallest proportion of their property crimes (11.7 percent). (Table 25) Metropolitan Counties An examination of clearance data submitted by law enforcement agencies in metropolitan counties in 2007 showed that these agencies cleared 50.3 percent of their violent crime offenses. Of the violent crimes made known to law enforcement agencies, murder offenses had the highest proportion of clearance (60.7 percent). Clearance data also showed that law enforcement agencies in metropolitan counties cleared 16.2 percent of their total property crimes. (Table 25) Nonmetropolitan Counties Clearance figures for nonmetropolitan counties showed that these agencies, like their counterparts in metropolitan counties, collectively cleared a greater proportion of their violent crimes than did the nation as a whole in 2007. A further breakdown of the clearance data revealed that agencies in nonmetropolitan counties cleared 57.4 percent of their violent crime offenses. Of the violent crimes known to them, law enforcement in nonmetropolitan counties had the highest number of clearances for murder (70.9 percent). The clearance data collected also showed that law enforcement agencies in nonmetropolitan counties cleared 17.1 percent of their property crime offenses. Among the property crimes known to these agencies, the highest percentage of offenses cleared were for arson and motor vehicle thefts both at 23.7 percent. (Table 25)
SECTION III: OFFENSES CLEARED 307 Clearances and Juveniles When an offender under 18 years of age is cited to appear in juvenile court or before other juvenile authorities, the UCR Program considers the incident for which the juvenile is being held responsible to be cleared by arrest, although a physical arrest may not have occurred. In addition, according to program definitions, clearances that include both adult and juvenile offenders are classified as clearances for crimes committed by adults. Therefore, because the clearance percentages for crimes committed by juveniles include only those clearances in which no adults were involved, the
figures in this publication should not be used to present a definitive picture of juvenile involvement in crime. Of the clearances for violent crimes that were reported in the nation in 2007, 12.3 percent involved only juveniles, down from 12.6 percent in 2006. In addition, 18.4 percent of clearances for property crime in 2007 involved only juveniles, down from 19.1 percent in 2006. In 2007, 16.4 percent of all reported robbery clearances involved only juveniles. Arson offenses had the highest percentage of clearances involving only juveniles—39.6 percent—nationally in 2007. (Table 28)
308
CRIME IN THE UNITED STATES (BERNAN PRESS)
VIOLENT CRIME
Metropolitan and Nonmetropolitan Counties
In 2007, 44.5 percent of violent crime offenses in the nation was cleared by arrest or exceptional means. Murder had the highest percentage of offenses cleared (61.2 percent). Law enforcement agencies also cleared 54.1 percent of aggravated assaults, 40.0 percent of forcible rapes, and 25.9 percent of robberies. (Table 25)
Law enforcement agencies in the nation’s metropolitan counties cleared 50.3 percent of their violent crimes, with 60.7 percent of murders, 43.5 percent of forcible rapes, 27.5 percent of robberies, and 58.4 percent of aggravated assaults being cleared. Agencies in nonmetropolitan counties cleared 57.4 percent of their violent crime offenses, with 70.9 percent of murders, 44.2 percent of forcible rapes, 39.4 percent of robberies, and 60.7 percent of aggravated assaults being cleared. (Table 25)
Regional Clearances
Clearances by Classification Group and Type
A comparison of clearance data by region showed that law enforcement agencies in the Northeast cleared 49.7 percent of the violent crime reported to them, followed by the South (45.5 percent), the West (43.4 percent), and the Midwest (39.2 percent). For murder, the South cleared 65.3 percent of offenses, followed by the Northeast (49.7 percent), the West (43.4 percent) and the Midwest (39.2 percent each). Forcible rape offenses were cleared 44.3 percent of the time in the South, 44.5 percent of the time in the Northeast, 37.8 percent of the time in the West, and 31.4 percent of the time in the Midwest. For robbery, the Northeast cleared 29.4 percent of offenses, followed by the South (26.2 percent), the West (25.9 percent), and the Midwest (22.1 percent). The Northeast also had the highest proportion of clearances for aggravated assault (62.5 percent), followed by the South (54.3 percent), the West (53.5 percent), and the Midwest (48.6 percent). (Table 26)
For forcible rape, by classification group and type, law enforcement agencies cleared 42.6 percent of assault to rape attempts and 38.7 percent of rapes by force in 2007. Cleared robbery offenses included 30.1 percent of offenses involving strong-arm tactics, 28.9 percent of offenses involving knives or other cutting instruments, 20.5 percent of offenses involving firearms, and 27.8 percent of offenses involving other weapons. For aggravated assault, agencies cleared 60.3 percent of offenses involving hands, feet, fists, etc.; 60.9 percent of offenses involving knives or other cutting instruments; 38.8 percent of offenses involving firearms; and 54.2 percent of offenses involving other weapons. (Table 27)
National Clearances
Clearances by Population Group Cities In the nation’s cities, law enforcement agencies collectively cleared 42.5 percent of violent crimes reported to them. Of the population groups with the city designation, the nation’s smallest cities—those with under 10,000 inhabitants—had the highest percentage of violent crimes cleared (56.3 percent). Cities with 1,000,000 or more inhabitants had the lowest percentage of violent offenses cleared, 34.6 percent. Cities with 10,000 to 24,999 inhabitants cleared the highest percentage of their murder offenses (71.6 percent), while cities with 500,000 to 999,999 inhabitants cleared the lowest percentage of murder offenses (54.6 percent). For forcible rape, cities with 1,000,000 or more inhabitants cleared the largest percentage of offenses at 46.4 percent while cities with 50,000 to 99,999 inhabitants cleared the lowest percentage of offenses at 34.3 percent. Cities with under 10,000 inhabitants cleared the greatest percentage of their robbery offenses at 34.0 percent, and cities with 500,000 to 999,999 inhabitants cleared the lowest percentage of their robbery offenses at 21.4 percent. For aggravated assault, cities with under 10,000 inhabitants cleared the highest proportion of offenses (63.1 percent); cities with 1,000,000 or more inhabitants cleared the lowest percentage of offenses (43.1 percent). (Table 25)
Clearances and Juveniles When an individual under 18 years of age (a juvenile) is cited to appear before juvenile authorities, the incident is cleared by arrest despite the lack of a physical arrest. In addition, the UCR Program considers any clearance that involves both adults (those age 18 years or over) and juveniles as an adult clearance. Therefore, the juvenile clearance data are limited to those clearances involving juveniles only, and the figures in this publication should not be used to present a definitive picture of juvenile involvement in crime. In 2007, 12.6 percent of violent crime clearances in the United States exclusively involved juveniles. In the nation’s cities, collectively, 12.3 percent of violent crime clearances involved only juveniles, with juveniles in cities exclusively involved in 5.5 percent of murder clearances, 11.1 percent of forcible rape clearances, 16.6 percent of robbery clearances, and 11.6 percent of aggravated assault clearances. Of the nation’s city population groups, cities with 50,000 to 99,999 inhabitants had the highest percentage of overall clearances for violent crime only involving juveniles (13.8 percent); cities with 1,000,000 or more inhabitants had the lowest percentage (11.0 percent). Law enforcement agencies in metropolitan counties reported that 12.6 percent of their violent crime clearances—including 6.4 percent of their murder clearances, 13.1 percent of their forcible rape clearances, 16.6 percent of their robbery clearances, and 12.1 percent of their aggravated assault clearances— involved only juveniles. Agencies in nonmetropolitan counties reported that 9.0 percent of their clearances for violent crime involved only juveniles, including 4.4 percent of their murder clearances, 14.4 percent of their forcible rape clearances, 6.9 percent of their robbery clearances, and 8.7 percent of their aggravated assault clearances. (Table 28)
SECTION III: OFFENSES CLEARED 309
PROPERTY CRIME National Clearances Law enforcement agencies throughout the nation collectively cleared 16.5 percent of property crime offenses in 2007, including 12.4 percent of burglary offenses, 18.6 percent of larceny-theft offenses, 12.6 percent of motor vehicle theft offenses, and 18.3 percent of arson offenses. (Table 25) Regional Clearances By region in 2007, agencies in the Northeast cleared the highest percentage of property crimes at 19.3 percent, followed by the South at 17.1 percent, the Midwest at 16.2 percent, and the West at 14.5 percent. Agencies in the Northeast also cleared the highest percentage of burglary offenses at 15.0 percent, followed by the South at 13.1 percent, the West at 11.4 percent, and the Midwest at 10.6 percent. For larceny-theft, the Northeast (21.1 percent) was followed by the South (18.8 percent), the Midwest (18.5 percent), and the West (17.0 percent). The South, at 15.3 percent, cleared the greatest percentage of their motor vehicle theft offenses, followed by the Northeast at 15.1 percent, the Midwest at 12.7 percent, and the West at 9.1 percent. The Northeast cleared the greatest percentage of their arson offenses (24.0 percent), followed by the South (20.0 percent), the Midwest (16.3 percent), and the West (15.6 percent). (Table 26) Clearances by Population Group Cities Law enforcement agencies in cities cleared 16.6 percent of property crimes, 11.9 percent of burglaries, 18.9 percent of larceny-thefts, 11.5 percent of motor vehicle thefts, and 17.9 percent of arsons in 2007. (Table 25) Agencies in cities with populations of 10,000 to 24,999 cleared the largest percentage of their property crimes (20.6 percent), while agencies in cities with populations of 500,000 to 999,999 cleared the smallest percentage of their property crimes (11.7 percent). For burglaries, cities with under 10,000 inhabitants cleared the largest percentage of their offenses, at 16.1 percent, while cities with 1,000,000 or more inhabitants cleared the smallest percentage of their offenses, at 8.0 percent. Cities with 10,000 to 24,999 inhabitants cleared the greatest percentage of their larceny-theft offenses (22.4 percent), and cities with 500,000 to 999,999 inhabitants cleared the lowest percentage of their larcenytheft offenses (13.3 percent). For motor vehicle theft and arson, cities with under 10,000 inhabitants cleared the highest percentages of their offenses, at 23.1 percent and 26.0 percent, respectively; cities with 1,000,000 or more inhabitants cleared the lowest percentages of their offenses, at 9.1 percent and 11.4 percent, respectively. (Table 25) Metropolitan Counties and Nonmetropolitan Counties Metropolitan county law enforcement agencies reported that 16.2 percent of their property crimes, 13.3 percent of
their burglaries, 17.5 percent of their larceny-thefts, 15.1 percent of their motor vehicle thefts, and 17.9 percent of their arsons were cleared by arrest or exceptional means. Agencies in nonmetropolitan counties reported clearing 17.1 percent of their property crimes, 15.4 percent of their burglaries, 17.1 percent of their larceny-thefts, 23.7 percent of their motor vehicle thefts, and 23.7 percent of their arsons. (Table 25) Clearances by Classification and Type For property crime clearances grouped by classification and type, data showed that the highest percentage of burglary clearances in the nation in 2007 (13.9 percent) were of offenses that involved unlawful entry of structures. Law enforcement agencies cleared 11.5 percent of burglaries in which force was used to enter structures and 10.5 percent of attempted burglary offenses. For motor vehicle theft, agencies cleared 12.8 percent of motor vehicle theft offenses involving automobiles and 10.3 percent of motor vehicle theft offenses involving trucks and buses. (Table 27) In 2007, 22.4 percent of structural arson offenses were cleared by arrest or exceptional means, while 8.6 percent of mobile arson offenses and 20.7 percent of other arson crimes were cleared. (Table 27) Clearances and Juveniles When an offender under 18 years of age is cited to appear in juvenile court or before other juvenile authorities, the UCR Program considers the incident for which the juvenile is being held responsible to be cleared by arrest, although a physical arrest may not have occurred. In addition, clearances that include both adult and juvenile offenders are classified as clearances for crimes committed by adults. Thus, juvenile clearance data may not reflect the total involvement of youthful offenders in crime. Nationally, 18.4 percent of property crime clearances, 16.5 percent of burglary clearances, 19.1 percent of larceny-theft clearances, 15.3 percent of motor vehicle theft clearances, and 39.6 percent of arson clearances nationwide exclusively involved juveniles in 2007. (Table 28) Clearances of juveniles for arson were proportionally higher than those for any other crime. In cities collectively, 19.0 percent of the clearances for property crime, 16.7 percent of clearances for burglary, 19.8 percent of clearances for larceny-theft, 15.8 percent of clearances for motor vehicle theft, and 41.9 percent of clearances for arson involved juveniles only. Among the population groups labeled city, the percentages of clearances involving only juveniles for overall property crime ranged from a low of 14.5 percent in cities with populations of 1,000,000 and over to a high of 21.4 percent in cities with populations of 50,000 to 99,999. Law enforcement in metropolitan counties reported 16.4 percent of property crime clearances, 16.5 percent of burglary clearances, 16.8 percent of larceny-theft clearances, 14.1 percent of motor vehicle theft clearances, and 39.8 percent of arson clearances
310
CRIME IN THE UNITED STATES (BERNAN PRESS)
involved persons under 18 years of age. In nonmetropolitan counties, 13.9 percent of property crime clearances, 14.5 percent of burglary clearances, 13.6 percent of larceny-theft clearances, 13.9 percent of motor vehicle theft clearances, and 19.4 percent of arson clearances involved juveniles exclusively. (Table 28)
Of clearances for structural arsons, 36.2 percent involved only juveniles. Approximately 20.4 percent of clearances for mobile arsons and 51.8 percent of other property type arsons involved only juveniles. (Unpublished Expanded Arson Table 2; see Appendix I for more information)
SECTION III: OFFENSES CLEARED 311 Table 25. Percent of Offenses Cleared by Arrest or Exceptional Means, by Population Group, 2007 (Number, percent.)
Population group
Violent crime
TOTAL ALL AGENCIES:.............................................. Offenses known 1,227,330 Percent cleared by arrest 44.5 TOTAL CITIES.................................... Offenses known 958,761 Percent cleared by arrest 42.5 GROUP I (250,000 and over) ............. Offenses known 401,518 Percent cleared by arrest 36.5 1,000,000 and over (Group I subset) ............................... Offenses known 125,257 Percent cleared by arrest 34.6 500,000 to 999,999 (Group I subset) ............................... Offenses known 155,793 Percent cleared by arrest 36.9 250,000 to 499,999 (Group I subset) ................. Offenses known 120,468 Percent cleared by arrest 38.2 GROUP II (100,000 to 249,999) ......... Offenses known 167,798 Percent cleared by arrest 41.8 GROUP III (50,000 to 99,999)............ Offenses known 140,491 Percent cleared by arrest 44.3 GROUP IV (25,000 to 49,999)............ Offenses known 95,890 Percent cleared by arrest 47.9 GROUP V (10,000 to 24,999) ............. Offenses known 83,703 Percent cleared by arrest 51.8 GROUP VI (under 10,000) ................. Offenses known 69,361 Percent cleared by arrest 56.3 METROPOLITAN COUNTIES........................................... Offenses known 213,587 Percent cleared by arrest 50.3 NONMETROPOLITAN COUNTIES........................................... Offenses known 54,982 Percent cleared by arrest 57.4 SUBURBAN AREA2.............................. Offenses known 363,854 Percent cleared by arrest 50.6 1
Murder and nonnegligent manslaughter
Forcible rape
Robbery
14,811
78,740
61.2 11,354
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
383,749
750,030
8,716,315
1,946,803
5,774,598
994,914
62,248
14,108
262,114,256
40.0 57,646
25.9 330,407
54.1 559,354
16.5 6,750,388
12.4 1,420,331
18.6 4,543,080
12.6 786,977
18.3 45,769
10,006
172,595,675
60.6 5,572
38.6 18,068
25.5 164,288
52.5 16.6 213,590 2,103,825
11.9 18.9 469,463 1,270,384
11.5 363,978
17.9 17,011
69
42,439,501
58.4
41.2
22.5
46.4
12.6
9.4
14.8
9.3
13.9
1,851
5,328
57,173
60,905
647,572
141,606
380,830
125,136
5,643
8
14,175,600
62.9
46.4
23.6
43.1
12.1
8.0
14.6
9.1
11.4
2,176
6,650
60,234
86,733
813,306
182,966
496,588
133,752
5,824
23
15,106,797
54.6
39.6
21.4
46.9
11.7
9.1
13.3
9.5
16.8
1,545
6,090
46,881
65,952
642,947
144,891
392,966
105,090
5,544
38
13,157,104
58.3 2,233
38.2 9,895
22.7 59,741
48.7 14.3 95,929 1,145,420
11.0 248,738
16.8 752,558
9.3 144,124
13.5 7,256
176
26,512,873
57.4 1,396
39.0 9,334
25.7 45,733
51.7 15.8 84,028 1,098,380
11.1 231,520
18.4 753,582
10.2 113,278
17.3 7,166
442
30,409,056
60.5 870
34.3 7,550
27.7 28,170
54.1 59,300
18.1 864,244
12.8 171,348
20.7 622,825
11.6 70,071
17.2 5,270
744
25,659,304
68.0 749
36.1 6,979
30.4 20,728
57.4 55,247
19.0 817,941
12.7 162,736
21.4 599,026
13.7 56,179
20.9 4,628
1,627
25,851,590
71.6 534
39.5 5,820
32.8 11,747
60.2 51,260
20.6 720,578
14.9 136,526
22.4 544,705
18.1 39,347
23.7 4,438
6,948
21,723,351
70.6
39.1
34.0
63.1
19.7
16.1
20.3
23.1
26.0
2,631
14,854
49,200
146,902
1,542,755
390,028
978,492
174,235
12,542
1,722
63,834,694
60.7
43.5
27.5
58.4
16.2
13.3
17.5
15.1
17.9
826
6,240
4,142
43,774
423,172
136,444
253,026
33,702
3,937
2,380
25,683,887
70.9 3,885
44.2 26,392
39.4 90,095
60.7 243,482
17.1 3,059,255
15.4 678,307
17.1 2,087,106
23.7 293,842
23.7 21,290
7,394
115,023,793
62.4
41.6
29.1
59.4
17.6
13.6
19.3
15.2
20.0
Arson1
Number 2007 of estimated agencies population
Not all agencies submit reports for arson to the FBI. As a result, the number of reports the FBI uses to compute the percent of offenses cleared for arson is less than the number it uses to compute the percent of offenses cleared for all other offenses. 2 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
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CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 26. Percent of Offenses Cleared by Arrest or Exceptional Means, by Geographic Division and Region, 2007 (Number, percent.)
Geographic region/division
Violent crime
TOTAL ALL AGENCIES: ..................... Offenses known 1,227,330 Percent cleared by arrest 44.5 NORTHEAST .......................................... Offenses known 147,529 Percent cleared by arrest 49.7 NEW ENGLAND................................ Offenses known 42,504 Percent cleared by arrest 47.6 MIDDLE ATLANTIC ........................ Offenses known 105,025 Percent cleared by arrest 50.5 MIDWEST ................................................ Offenses known 189,328 Percent cleared by arrest 39.2 EAST NORTH CENTRAL ............... Offenses known 126,607 Percent cleared by arrest 34.1 WEST NORTH CENTRAL............... Offenses known 62,721 Percent cleared by arrest 49.5 SOUTH...................................................... Offenses known 575,695 Percent cleared by arrest 45.5 SOUTH ATLANTIC........................... Offenses known 318,845 Percent cleared by arrest 47.0 EAST SOUTH CENTRAL................ Offenses known 76,720 Percent cleared by arrest 46.1 WEST SOUTH CENTRAL ............... Offenses known 180,130 Percent cleared by arrest 42.7 WEST......................................................... Offenses known 314,778 Percent cleared by arrest 43.4 MOUNTAIN......................................... Offenses known 89,648 Percent cleared by arrest 43.7 PACIFIC ................................................ Offenses known 225,130 Percent cleared by arrest 43.3 1
Murder and nonnegligent manslaughter
Forcible rape
Robbery
14,811
78,740
61.2 1,717
Aggravated assault
Property crime
Burglary
Larcenytheft
Motor vehicle theft
383,749
750,030
8,716,315
1,946,803
5,774,598
994,914
62,248
14,108
262,114,256
40.0 9,426
25.9 51,782
54.1 84,604
16.5 994,011
12.4 198,031
18.6 706,050
12.6 89,930
18.3 6,757
2,979
43,922,345
60.2 336
44.5 3,192
29.4 11,478
62.5 27,498
19.3 319,479
15.0 66,827
21.1 224,014
15.1 28,638
24.0 1,917
879
13,728,000
50.9 1,381
30.1 6,234
25.1 40,304
59.0 57,106
14.6 674,532
11.8 131,204
16.0 482,036
10.6 61,292
20.2 4,840
2,100
30,194,345
62.5 2,208
51.8 15,874
30.7 57,372
64.1 113,874
21.5 1,550,436
16.7 337,686
23.4 1,063,932
17.2 148,818
25.5 13,210
3,535
47,741,064
55.7 1,620
31.4 11,144
22.1 43,706
48.6 70,137
16.2 985,904
10.6 228,496
18.5 654,586
12.7 102,822
16.3 8,992
1,689
29,447,646
50.5 588
29.7 4,730
20.6 13,666
42.8 43,737
14.9 564,532
9.6 109,190
17.3 409,346
11.2 45,996
15.1 4,218
1,846
18,293,418
70.1 7,311
35.1 32,836
26.6 171,372
57.9 364,176
18.6 3,956,202
12.7 951,538
20.5 2,625,519
16.0 379,145
18.6 22,959
5,678
103,362,286
65.3 3,970
44.3 15,516
26.2 99,040
54.3 200,319
17.1 2,058,093
13.1 487,420
18.8 1,362,719
15.3 207,954
20.0 12,286
2,860
55,031,012
63.5 979
48.2 4,990
26.9 21,839
56.5 48,912
18.4 534,478
14.9 135,470
20.0 355,143
15.9 43,865
20.8 2,229
1,140
14,645,882
64.5 2,362
36.5 12,330
25.9 50,493
55.7 114,945
16.8 1,363,631
11.7 328,648
18.8 907,657
16.5 127,326
18.2 8,444
1,678
33,685,392
68.7 3,575
42.4 20,604
25.1 103,223
49.9 187,376
15.2 2,215,666
10.9 459,548
17.0 1,379,097
13.9 377,021
19.4 19,322
1,916
67,088,561
56.8 1,064
37.8 7,534
25.9 23,737
53.5 57,313
14.5 715,815
11.4 150,033
17.0 458,762
9.1 107,020
15.6 4,900
774
20,440,983
60.9 2,511
31.6 13,070
21.8 79,486
54.0 130,063
15.1 1,499,851
9.1 309,515
18.1 920,335
10.5 270,001
19.7 14,422
1,142
46,647,578
55.0
41.3
27.1
53.2
14.2
12.5
16.4
8.6
14.2
Arson1
Number 2007 of estimated agencies population
Not all agencies submit reports for arson to the FBI. As a result, the number of reports the FBI uses to compute the percent of offenses cleared for arson is less than the number it uses to compute the percent of offenses cleared for all other offenses.
SECTION III: OFFENSES CLEARED 313 Table 27. Percent of Offenses Cleared by Arrest or Exceptional Means, by Population Group, 2007 (Number, percent.) Forcible rape Population group
TOTAL ALL AGENCIES:...... TOTAL CITIES .................... GROUP I (250,000 and over)................. 1,000,000 and over (Group I subset) ................ 500,000 to 999,999 (Group I subset) ................ 250,000 to 499,999 (Group I subset) ................ GROUP II (100,000 to 249,999)................................... GROUP III (50,000 to 99,999)..................................... GROUP IV (25,000 to 49,999)..................................... GROUP V (10,000 to 24,999)..................................... GROUP VI (under 10,000)..................................... METROPOLITAN COUNTIES ........................... NONMETROPOLITAN COUNTIES ........................... SUBURBAN AREA1 ..............
Rape by force
Robbery
Assault to rapeattempts
Firearm
Knife or cutting instrument
Aggravated assault
Other weapon
Strong-arm
Firearm
Knife or cutting instrument
Other weapon
Hands, fists, feet, etc.
Offenses known Percent cleared by arrest Offenses known Percent cleared by arrest
66,469 38.7 49,480 37.6
5,682 42.6 4,583 41.8
142,220 20.5 123,394 20.5
28,303 28.9 24,931 28.7
30,654 27.8 26,507 27.7
134,480 30.1 120,224 29.6
140,206 38.8 113,135 36.5
123,029 60.9 98,916 60.2
217,114 54.2 167,085 52.9
173,682 60.3 122,562 59.8
Offenses known Percent cleared by arrest
15,451 40.3
1,870 41.4
68,219 18.5
11,801 25.7
12,301 23.5
56,481 26.4
57,741 32.4
38,222 56.7
67,890 48.8
29,610 50.4
Offenses known Percent cleared by arrest
4,558 46.4
770 46.6
25,832 18.4
5,266 25.1
4,559 25.6
21,516 28.9
19,444 28.9
12,987 52.5
19,915 46.9
8,559 52.1
Offenses known Percent cleared by arrest
5,459 37.9
604 34.9
23,858 17.9
3,700 24.5
4,497 22.9
17,185 23.5
21,728 35.4
14,226 56.2
26,073 47.1
10,621 46.5
Offenses known Percent cleared by arrest
5,434 37.5
496 41.1
18,529 19.3
2,835 28.2
3,245 21.3
17,780 26.1
16,569 32.7
11,009 62.1
21,902 52.6
10,430 52.8
Offenses known Percent cleared by arrest
8,009 37.3
765 45.0
21,107 21.1
4,456 28.3
4,696 28.8
21,259 29.9
19,520 35.3
17,483 61.2
29,240 52.1
16,012 61.6
Offenses known Percent cleared by arrest
8,028 33.2
625 41.0
14,481 21.9
3,673 29.7
3,802 30.6
17,962 31.3
13,974 38.4
15,027 60.8
24,793 55.4
19,884 59.6
Offenses known Percent cleared by arrest
6,673 35.3
450 38.7
8,693 24.5
2,321 33.0
2,767 31.7
11,482 33.6
8,687 43.4
10,844 62.3
17,775 56.7
16,598 62.6
Offenses known Percent cleared by arrest
6,166 39.0
408 42.6
7,133 26.7
1,689 37.2
1,848 35.7
7,950 37.9
7,315 47.9
9,485 64.3
15,126 58.9
18,068 64.1
Offenses known Percent cleared by arrest
5,153 38.5
465 41.9
3,761 27.4
991 39.1
1,093 35.7
5,090 37.2
5,898 51.5
7,855 66.5
12,261 59.9
22,390 65.8
Offenses known Percent cleared by arrest
11,315 40.7
762 47.1
17,218 19.1
3,036 29.4
3,608 27.7
12,919 32.8
20,399 45.1
18,492 63.3
38,395 58.1
34,559 62.7
Offenses known Percent cleared by arrest Offenses known Percent cleared by arrest
5,674 43.7 21,341 39.5
337 43.0 1,479 45.6
1,608 36.3 30,186 21.1
336 39.3 6,172 32.1
539 37.7 7,213 30.7
1,337 41.7 28,966 34.6
6,672 59.7 32,177 45.7
5,621 65.8 33,778 64.1
11,634 59.8 64,926 58.8
16,561 58.9 66,615 64.2
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
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CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 27. Percent of Offenses Cleared by Arrest or Exceptional Means, by Population Group, 2007 (Contd.) (Number, percent.) Burglary Population group
TOTAL ALL AGENCIES: ............... Offenses known Percent cleared by arrest TOTAL CITIES.............................. Offenses known Percent cleared by arrest GROUP I (250,000 and over) ....... Offenses known Percent cleared by arrest 1,000,000 and over (Group I subset) ............................. Offenses known Percent cleared by arrest 500,000 to 999,999 (Group I subset) ............................. Offenses known Percent cleared by arrest 250,000 to 499,999 (Group I subset) ............................. Offenses known Percent cleared by arrest GROUP II (100,000 to 249,999) ............................................ Offenses known Percent cleared by arrest GROUP III (50,000 to 99,999) .............................................. Offenses known Percent cleared by arrest GROUP IV (25,000 to 49,999) .............................................. Offenses known Percent cleared by arrest GROUP V (10,000 to 24,999) .............................................. Offenses known Percent cleared by arrest GROUP VI (under 10,000) ........... Offenses known Percent cleared by arrest METROPOLITAN COUNTIES..................................... Offenses known Percent cleared by arrest NONMETROPOLITAN COUNTIES..................................... Offenses known Percent cleared by arrest SUBURBAN AREA1........................ Offenses known Percent cleared by arrest 1
Forcible entry
Unlawful entry
Arson2
Motor vehicle theft Attempted forcible entry
Autos
Trucks and buses
Other vehicles
Structure
Mobile
Other
Number of agencies
2007 estimated population
1,067,533
566,213
110,793
673,193
157,865
73,848
24,551
16,124
16,959
13,511
242,183,651
11.5 796,659
13.9 416,993
10.5 87,395
12.8 551,829
10.3 127,545
11.2 48,183
22.4 18,668
8.6 11,362
20.7 12,449
9,676
161,869,593
11.0 295,915
13.7 111,067
10.2 27,365
12.0 245,603
9.3 76,346
10.1 16,908
22.0 6,462
8.1 5,582
20.7 3,610
63
39,428,308
8.4
10.8
9.3
10.1
7.1
8.1
19.5
5.5
17.6
98,510
35,794
7,302
80,390
37,273
7,473
1,931
2,311
1,362
8
14,175,600
7.4
9.2
10.4
11.0
5.3
7.5
18.0
4.8
13.7
110,828
37,402
12,320
89,303
20,933
5,560
2,261
1,578
1,079
20
13,096,918
8.1
9.7
8.1
9.7
8.7
9.3
21.9
7.2
19.9
86,577
37,871
7,743
75,910
18,140
3,875
2,270
1,693
1,169
35
12,155,790
10.0
13.4
10.2
9.6
9.0
7.4
18.5
5.0
19.9
133,598
68,286
14,455
102,382
19,229
7,538
3,035
1,694
1,781
158
23,724,578
10.3
13.3
9.9
9.9
9.7
8.4
20.9
7.8
19.5
120,817
74,093
14,859
82,908
13,837
7,458
2,850
1,692
2,229
410
28,281,097
11.9
14.6
10.1
11.6
11.5
9.4
19.3
8.3
19.8
91,504
56,658
11,820
51,946
7,504
6,276
1,979
1,018
1,952
713
24,562,182
11.9
13.8
10.4
13.6
13.7
11.0
24.2
12.7
21.2
84,652
55,219
10,123
40,975
6,089
5,125
2,143
767
1,447
1,557
24,705,932
14.3 70,173
16.1 51,670
11.8 8,773
19.1 28,015
16.3 4,540
12.5 4,878
25.7 2,199
14.9 609
25.3 1,430
6,775
21,167,496
16.2
16.6
11.8
24.4
21.4
17.2
28.3
17.1
25.9
189,461
107,197
17,620
100,871
25,474
18,776
4,114
3,931
3,352
1,552
55,508,270
12.3
14.2
10.9
15.0
13.1
11.8
22.6
7.9
20.5
81,413
42,023
5,778
20,493
4,846
6,889
1,769
831
1,158
2,283
24,805,788
15.3 332,281
14.8 208,251
12.5 37,095
25.0 188,486
22.9 38,087
17.1 29,328
26.8 7,578
17.8 5,400
21.0 6,625
7,008
104,399,866
12.8
14.8
11.0
15.3
13.5
11.9
24.3
9.6
22.0
Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. 2 Not all agencies submit reports for arson to the FBI. As a result, the number of reports the FBI uses to compute the percent of offenses cleared for arson is less than the number it uses to compute the percent of offenses cleared for all other offenses. Agencies must report arson clearances by detailed property classification as specified on the Monthly Return of Arson Offenses Known to Law Enforcement to be included in this table; therefore, clearances in this table may differ from other clearance tables.
SECTION III: OFFENSES CLEARED 315 Table 28. Number of Offenses Cleared by Arrest or Exceptional Means Involving Persons Under 18 Years of Age, by Population Group, 2006 (Number, percent.)
Population group
TOTAL ALL AGENCIES: ................. Total clearances Percent under 18 TOTAL CITIES.................................... Total clearances Percent under 18 GROUP I (250,000 and over) ......... Total clearances Percent under 18 1,000,000 and over (Group I subset) ........................... Total clearances Percent under 18 500,000 to 999,999 (Group I subset) ........................... Total clearances Percent under 18 250,000 to 499,999 (Group I subset) ........................... Total clearances Percent under 18 GROUP II (100,000 to 249,999) ..... Total clearances Percent under 18 GROUP III (50,000 to 99,999)........ Total clearances Percent under 18 GROUP IV (25,000 to 49,999)........ Total clearances Percent under 18 GROUP V (10,000 to 24,999) ......... Total clearances Percent under 18 GROUP VI (under 10,000) ............. Total clearances Percent under 18 METROPOLITAN COUNTIES....................................... Total clearances Percent under 18 NONMETROPOLITAN COUNTIES....................................... Total clearances Percent under 18 SUBURBAN AREA2.......................... Total clearances Percent under 18
Murder and nonnegligent manslaughter
Forcible rape
Robbery
465,584 12.3 358,932 12.5 131,203 11.2
7,794 5.6 6,036 5.5 2,825 5.6
27,472 11.8 20,247 11.1 6,989 8.4
84,796 16.4 74,303 16.6 33,315 15.9
43,355 11.0
1,164 5.6
2,473 7.1
13,472 16.2
26,246 9.0
46,271 11.5
837 4.8
2,282 9.4
10,239 15.9
41,577 11.1 59,554 12.7 54,183 13.8 41,108 13.5 37,909 12.9 34,975 13.1
824 6.3 1,110 5.2 736 6.4 538 5.6 480 5.4 347 4.6
2,234 8.9 3,265 12.2 2,885 13.2 2,501 12.0 2,496 12.7 2,111 12.6
78,765 12.6
1,258 6.4
27,887 9.0 144,646 13.4
500 4.4 1,989 6.0
Violent crime
Aggravated assault
Motor vehicle theft
Number 2007 of estimated agencies population
Property crime
Burglary
Larcenytheft
345,522 1,263,199 11.5 18.4 258,346 1,010,257 11.6 19.0 88,074 242,879 9.8 16.5
208,392 16.5 150,866 16.7 39,253 15.0
946,493 19.1 777,869 19.8 172,267 17.0
108,314 15.3 81,522 15.8 31,359 15.4
10,546 39.6 7,695 41.9 2,262 37.3
13,140
236,796,743
9,455
158,743,924
62
39,177,864
78,116 14.5
11,288 14.8
55,423 14.6
11,405 13.6
644 38.0
8
14,175,600
32,913 10.4
82,229 16.9
13,575 16.3
57,650 17.0
11,004 17.0
878 35.4
20
13,096,918
9,604 15.5 13,167 18.4 10,847 17.3 7,509 17.4 5,937 14.5 3,528 15.5
28,915 10.0 42,012 11.1 39,715 13.1 30,560 12.8 28,996 12.7 28,989 13.0
82,534 17.9 156,678 21.2 177,350 21.4 150,270 21.0 151,921 18.1 131,159 16.6
14,390 14.0 23,860 18.8 26,401 16.4 19,581 17.1 21,381 17.0 20,390 17.4
59,194 19.1 120,463 22.0 139,173 22.8 122,113 21.9 121,459 18.6 102,394 16.6
8,950 15.8 12,355 17.8 11,776 16.1 8,576 16.3 9,081 14.3 8,375 14.7
740 38.8 1,112 36.9 1,147 49.9 1,040 42.8 1,037 47.1 1,097 42.2
34
11,905,346
156
23,488,164
402
27,807,428
695
24,027,023
1,496
23,778,344
6,644
20,465,101
4,812 13.1
9,118 16.6
63,577 12.1
188,170 16.4
38,852 16.5
129,647 16.8
19,671 14.1
1,958 39.8
1,479
53,819,257
2,413 14.4 8,843 12.7
1,375 6.9 19,890 17.1
23,599 8.7 113,924 13.0
64,772 13.9 447,070 18.1
18,674 14.5 74,616 17.2
38,977 13.6 336,596 18.7
7,121 13.9 35,858 14.2
893 19.4 3,862 43.9
2,206
24,233,562
6,782
101,007,098
Arson1
1 Not all agencies submit reports for arson to the FBI. As a result, the number of reports the FBI uses to compute the percent of offenses cleared for arson is less than the number it uses to compute the percent of offenses cleared for all other offenses. 2 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
SECTION IV:
PERSONS ARRESTED
SECTION IV: PERSONS ARRESTED 319
PERSONS ARRESTED Figure 4-1. Percent Change in the Number of Persons 18 Years of Age and Over Arrested, by Offense, 1998–2007 45
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Offense charged
In the Uniform Crime Reporting (UCR) Program, one arrest is counted for each separate instance in which an individual is arrested, cited, or summoned for criminal acts in Part I and Part II crimes. (See Appendix II for additional information concerning Part I and Part II crimes.) One person may be arrested multiple times during the year; as a result, the arrest figures in this section should not be taken as the total number of individuals arrested. Instead, it provides the number of arrest occurrences reported by law enforcement. Information regarding the UCR Program’s statistical methodology and table construction can be found in Appendix I.
A comparison of arrest figures from 2006 to 2007 revealed a 0.3 percent decrease. Arrests for violent crimes decreased 1.1 percent, while arrests for property crimes increased 5.4 percent during the 2-year period. An examination of the 5-year and 10-year arrest trends showed that the total number of arrests in 2007 rose 3.9 percent from the 2003 total. Arrests for violent crimes showed a 0.6 percent increase from 2003 to 2007, while property crimes showed a 0.1 percent increase. In the 10-year trend data (1998 to 2007), the number of arrests showed a steeper decline (3.3 percent). For property crimes, the number of arrests fell 12.5 percent, while arrests for violent crimes fell 8.9 percent. (Tables 32, 34, and 36)
National Volume, Trends, and Rates
By Age, Sex, and Race
In 2007, the UCR Program estimated that there were over 14.2 million (14,209,365) arrests in the United States for all criminal offenses (except traffic violations). Law enforcement made an estimated 1,610,088 million arrests (11.3 percent of all arrests) for property crimes and 597,447 arrests (4.2 percent of all arrests) for violent crimes. More arrests were made for drug abuse violations (an estimated 1.8 million arrests and 13.0 percent of all arrests) than for any other offense. (Table 29)
Law enforcement agencies that contributed arrest data to the UCR Program reported information on the age, sex, and race of the persons they arrested. According to the 2007 data, adults accounted for 84.6 percent of arrestees nationally. (Table 38)
The estimated overall arrest rate of in the nation in 2007 was 4,743.3 arrests per 100,000 inhabitants. Arrests for violent crimes were measured at a rate of 200.2 arrests per 100,000 inhabitants; for property crimes, the arrest rate was 544.1. (Table 30)
A review of arrest data by age from 2006 to 2007 showed that arrests of adults decreased 0.3 percent during this period. Arrests of adults for property crimes increased 5.9 percent, and arrests of adults for violent crimes decreased 0.8 percent over the same time span. The arrest total for juveniles (those under 18 years of age) in 2007 decreased 1.6 percent from the 2006 figure. Over the 2-year period, arrests of juveniles for violent crimes decreased 2.8 percent; juvenile arrests property crimes increased 3.9 percent. (Table 36)
320
CRIME IN THE UNITED STATES (BERNAN PRESS)
By gender, 75.8 percent of arrests in 2007 were of males. Males accounted for 81.8 percent of the total number of arrestees for violent crimes and 66.6 percent of the total number of arrestees for property crimes. Females accounted for 24.2 percent of all arrestees, 18.2 percent of violent crime arrestees, and 33.4 percent of property crime arrestees. (Table 42) A review of the 2007 arrest data by race indicated that 69.7 percent of arrestees were White, 28.2 percent were Black, and 2.1 percent were of other races (American Indian or Alaskan Native and Asian or Pacific Islander). Of all arrestees for violent crimes, 58.9 percent were White, 39.0 percent were Black, and 2.1 percent were of other races. Of all arrestees for property crimes, 67.9 percent were White, 29.8 percent were Black, and 2.2 percent were of other races. White adults were most commonly arrested for driving under the influence (916,965 arrests) and drug abuse violations (779,590 arrests). Black adults were most frequently arrested for drug abuse violations (441,711 arrests) and other assaults (simple) (244,808 arrests). (Table 43) Regional Arrest Rates The UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the West. (Appendix III provides a more information about the regions.) Law enforcement agencies in the Northeast had an overall arrest rate of 3,711.5 arrests per 100,000 inhabitants, well below the national rate (4,743.3 arrests per 100,000 inhabitants). In this region, the arrest rate for violent crimes was 170.6 arrests per 100,000 inhabitants, and for property crime, the arrest rate was 435.8 arrests per 100,000 inhabitants. In the Midwest, law enforcement agencies reported an arrest rate of 4,842.3 arrests per 100,000 inhabitants. The arrest rate for violent crimes was 154.0 and the arrest rate for property crime was 558.7. Law enforcement agencies in the South, the nation’s most populous region, reported an arrest rate of 5,300.8 per 100,000 inhabitants. Arrests for violent crime occurred at a rate of 193.9 arrests per 100,000 residents, and for property crime, the arrest rate was 601.7 arrests per 100,000 inhabitants. In the Western states, law enforcement agencies reported an overall arrest rate of 4,738.0 arrests per 100,000 inhabitants. The region’s violent crime arrest rate was 260.4, while its property crime arrest rate was 541.4. (Table 30) Population Groups: Trends and Rates The national UCR Program aggregates data by various population groups, which include cities, metropolitan coun-
ties, and nonmetropolitan counties. Definitions of these groups can be found in Appendix III. The total number of arrests in U.S. cities rose 0.3 percent from 2006 to 2007. The number of arrests for property crimes increased 6.7 percent during the 2-year time frame; however, arrests for violent crimes in cities decreased 0.8 percent. (Table 44) In 2007, law enforcement agencies in cities collectively recorded an arrest rate of 5,187.4 arrests per 100,000 inhabitants. The nation’s smallest cities, those with under 10,000 inhabitants, had the highest arrest rate among the city population groups with 6,178.2 arrests per 100,000 inhabitants. Law enforcement agencies in cities with 25,000 to 49,999 inhabitants recorded the lowest rate, 4,605.8. In the nation’s metropolitan counties, law enforcement agencies reported an arrest rate of 3,733.8 per 100,000 inhabitants. Agencies in nonmetropolitan counties reported an arrest rate of 3,677.8. (Table 31) By Age, Sex, and Race In 2007, law enforcement agencies in the nation’s cities reported that 83.2 percent of arrests in their jurisdictions were of adults and 16.8 percent of arrests were of juveniles. Adults accounted for 82.8 percent of arrestees for violent crimes, while juveniles accounted for 17.2 percent. Adults made up 73.2 percent of the arrestees for property crimes, and juveniles accounted for 26.8 percent. Of all arrests in the nation’s cities in 2007, 46.1 percent were of individuals under 25 years of age. In metropolitan counties, 39.8 percent of arrests were of individuals under 25 years of age. In nonmetropolitan counties, 37.7 percent of persons arrested were of individuals under 25 years of age. (Tables 46, 47, 53, and 59) A breakdown of arrests by gender showed that males accounted for 75.5 percent and females accounted for 24.5 percent of arrestees in the nation’s cities in 2007. In metropolitan counties, males composed 76.9 percent of arrestees, and in nonmetropolitan counties, males represented 77.0 percent of all arrestees. (Tables 48, 54, and 60) By race, 67.3 percent of arrestees in the nation’s cities in 2007 were White, 30.5 percent were Black, and 2.2 percent were of other races (American Indian or Alaska Native and Asian or Pacific Islander). Whites accounted for 75.4 percent of arrestees in metropolitan counties in 2005, Blacks made up 23.3 percent of arrestees, and persons of other races made up 1.2 percent of the total. In nonmetropolitan counties, Whites made up 82.1 percent of arrestees, Blacks accounted for 14.4 percent of arrestees, and other races made up 3.5 percent of the total. (Tables 49, 55, and 61)
SECTION IV: PERSONS ARRESTED 321
VIOLENT CRIME Of the estimated 597,447 arrests for violent crime in 2007, 433,945 (72.6 percent) were for aggravated assault, 126,715 (21.2 percent) were for robbery, 23,307 (3.9 percent) were for forcible rape, and 13,480 (2.3 percent) were for murder.
cent from 1998 to 2007. The number of adults arrested for aggravated assault percent decreased 1.3 percent from 2006 to 2007, declined 1.7 percent from 2003 to 2007, and declined 9.8 percent from 1998 to 2007. The number of juveniles arrested for aggravated assault dropped 4.0 percent from 2006 to 2007, fell 5.7 percent from 2003 to 2007, and dropped 21.4 percent from 1998 to 2007. (Tables 32, 34, and 36)
Arrest Trends Arrest Rates A look at 2-year, 5-year, and 10-year trend data showed that the number of arrests for violent crime decreased 1.1 percent from 2006 to 2007, increased 0.6 percent from 2003 to 2007, and declined 8.9 percent from 1998 to 2007. The number of adults arrested for violent crime (arrestees age 18 years and over) decreased 0.8 percent from 2006 to 2007, decreased 0.1 percent from 2003 to 2007, and decreased 7.9 percent from 1998 to 2007. The number of juveniles arrested for violent crime (arrestees under 18 years of age) decreased 2.8 percent from 2006 to 2007, increased 4.6 percent from 2003 to 2007, and decreased 14.1 percent from 1998 to 2007. (Tables 32, 34, and 36) The trend data for murder showed that the number of arrests for this offense decreased 0.1 percent from 2006 to 2007, increased 2.9 percent from 2003 to 2007, and decreased 11.3 percent from 1998 to 2007. The number of adults arrested for murder declined 0.4 percent from 2006 to 2007, rose 0.9 percent from 2003 to 2007, and fell 9.7 percent from 1998 to 2007. The number of juveniles arrested for murder rose 2.8 percent from 2006 to 2007, rose 25.7 percent from 2003 to 2007, and fell 23.4 percent from 1998 to 2007. (Tables 32, 34, and 36) For forcible rape, the 2-year trend data showed that arrests declined 4.5 percent from 2006 to 2007, with adult arrests dropping 5.1 percent and juvenile arrests dropping 1.6 percent. The 5-year trend data showed that arrests decreased 12.3 percent from 2003 to 2007; adult arrests decreased 12.2 percent and juvenile arrests declined 12.7 percent during this period. The 10-year trend data showed that forcible rape arrests dropped 23.0 percent from 1998 to 2007, with adult arrests falling 21.1 percent and juvenile arrests falling 31.6 percent. (Tables 32, 34, and 36) For robbery, the 2-year trend data showed that arrests increased 1.2 percent from 2006 to 2007, with adult arrests rising 2.0 percent and juvenile arrests decreasing 0.9 percent. The 5-year trend data showed that total robbery arrests rose 16.6 percent from 2003 to 2007; adult arrests rose 11.3 percent and juvenile arrests rose 34.6 percent during this period. The 10-year trend data showed that arrests rose 5.9 percent from 1998 to 2007, with adult arrests increasing 5.8 percent and juvenile arrests increasing 6.0 percent. (Tables 32, 34, and 36) The aggravated assault trend data showed that the number of arrests for this offense fell 1.6 percent from 2006 to 2007, dropped 2.2 percent from 2003 to 2007, and fell 11.5 per-
Law enforcement agencies throughout the nation reported 200.2 violent crime arrests, 4.5 murder arrests, 7.7 forcible rape arrests, 42.9 robbery arrests, and 145.1 aggravated assault arrests per 100,000 inhabitants in 2007. By region, agencies reported violent crime arrest rates of 170.6 in the Northeast, 154.0 in the Midwest, 193.9 in the South, and 260.4 in the West. The regional murder arrest rates were 3.1 in the Northeast, 3.9 in the Midwest, 5.5 in the South, and 4.7 in the West. For forcible rape, the regional arrest rates were 6.8 in the Northeast, 9.0 in the Midwest, 8.0 in the South, and 7.2 in the West. Regional arrest rates for robbery were 43.8 in the Northeast, 34.9 in the Midwest, 44.2 in the South, and 46.5 in the West. For aggravated assault, the regional arrest rates were 117.0 in the Northeast, 106.2 in the Midwest, 136.1 in the South, and 202.1 in the West. (Table 30) By population group, law enforcement agencies in the nation’s cities collectively reported 225.5 violent crime arrests per 100,000 inhabitants in 2007. In the city population groups, cities with 250,000 or more inhabitants reported the highest violent crime arrest rate (311.8) and cities with 10,000 to 24,999 inhabitants reported the lowest violent crime arrest rate (157.2). Cities reported an overall murder arrest rate of 4.8 per 100,000 inhabitants; cities with 250,000 or more inhabitants had the highest murder arrest rate (8.5) and cities with under 10,000 inhabitants had the lowest murder arrest rate (2.1). The collective city forcible rape arrest rate was 8.2 per 100,000 inhabitants, with the highest rate in cities with 250,000 or more inhabitants (10.3) and the lowest rate in cities with 10,000 to 24,999 inhabitants and 50,000 to 99,999 inhabitants (6.8). The overall robbery arrest rate for cities was 53.0 per 100,000 inhabitants; cities with 250,000 or more inhabitants had the highest robbery arrest rate (87.8) and cities with under 10,000 inhabitants had the lowest robbery arrest rate (21.9). For aggravated assault, the collective city arrest rate was 145.1 per 100,000 inhabitants, with the greatest arrest rate in cities with 250,000 or more inhabitants (205.2) and the lowest arrest rate in cities with 10,000 to 24,999 inhabitants (118.0). (Table 31) Agencies in metropolitan counties reported a violent crime arrest rate of 153.4 per 100,000 inhabitants, with arrest rates of 4.1 for murder, 6.4 for forcible rape, 24.1 for robbery, and 118.7 for aggravated assault. Agencies in nonmetropolitan counties reported arrest rates of 114.3 for violent crime, 3.0 for murder, 7.5 for forcible rape, 9.3 for robbery, and 94.5 for aggravated assault. (Table 31)
322
CRIME IN THE UNITED STATES (BERNAN PRESS)
By Age, Sex, and Race In 2007, most arrestees for violent crime (83.7 percent) were over 18 years of age. By sex, males accounted for 81.8 percent of arrestees for violent crime, 89.8 percent of arrestees for murder, 98.9 percent of arrestees for forcible rape, 88.4 percent of arrestees for robbery, and 78.7 percent of arrestees for aggravated assault. Females accounted for 18.2 percent of violent crime arrestees, 10.2 percent of murder arrestees, 1.1 percent of forcible rape arrestees, 11.6 percent of robbery arrestees, and 21.3 percent of aggravated assault arrestees. (Tables 38 and 42)
By race, 58.9 percent of arrestees for violent crime were White, 39.0 percent were Black, and 2.1 percent were of other races (American Indian or Alaska Native and Asian or Pacific Islander). For murder, 47.6 percent of arrestees were White, 50.4 percent were Black, and 2.0 percent were of other races. For forcible rape, 64.4 percent of arrestees were White, 33.5 percent were Black, and 2.1 percent were of other races. For robbery, 42.0 percent of arrestees were White, 56.7 percent of arrestees were Black, and 1.3 percent were of other races. For aggravated assault, 64.0 percent of arrestees were White, 33.7 percent of arrestees were Black, and 2.3 percent were of other races. (Table 43)
SECTION IV: PERSONS ARRESTED 323
Of the estimated 1,610,088 arrests for property crimes in 2007, 1,172,762 (72.8 percent) were for larceny-theft, 303,853 (18.9 percent) were for burglary, 118,231 (7.3 percent) were for motor vehicle theft, and 15,242 (0.9 percent) were for arson. (Table 29)
2.7 percent from 2003 to 2007, and fell 9.6 percent from 1998 to 2007. The number of adults arrested for arson fell 2.3 percent from 2006 to 2007, increased 1.9 percent from 2003 to 2007, and increased 1.2 percent from 1998 to 2007. The number of juveniles arrested for arson declined by 8.3 percent from 2006 to 2007, dropped 6.9 percent from 2003 to 2007, and dropped 18.8 percent from 1998 to 2007. (Tables 32, 34, and 36)
Arrest Trends
Arrest Rates
The 2-year, 5-year, and 10-year trend data showed that the number of arrests for property crime increased 5.4 percent from 2006 to 2007, increased 0.1 percent from 2003 to 2007, and declined 12.5 percent from 1998 to 2007. The number of adults arrested for property crime offenses (arrestees age 18 years and over) increased 5.9 percent from 2006 to 2007, increased 4.2 percent from 2003 to 2007, and decreased 2.0 percent from 1998 to 2007. The number of juveniles arrested for property crime (arrestees under 18 years of age) increased 3.9 percent from 2006 to 2007, decreased 9.5 percent from 2003 to 2007, and decreased 32.9 percent from 1998 to 2007. (Tables 32, 34, and 36)
Law enforcement agencies throughout the nation reported 544.1 property crime arrests, 101.5 burglary arrests, 398.0 larceny-theft arrests, 39.5 motor vehicle theft arrests, and 5.1 arson arrests per 100,000 inhabitants in 2007. By region, agencies reported property crime arrest rates of 435.8 in the Northeast, 558.7 in the Midwest, 601.7 in the South, and 541.4 in the West. The regional burglary arrest rates were 75.8 in the Northeast, 81.9 in the Midwest, 113.4 in the South, and 119.4 in the West. For larceny-theft, the regional arrest rates were 331.5 in the Northeast, 429.0 in the Midwest, 450.7 in the South, and 361.1 in the West. Regional arrest rates for motor vehicle theft were 23.6 in the Northeast, 43.2 in the Midwest, 32.2 in the South, and 55.7 in the West. For arson, the regional arrest rates were 4.9 in the Northeast, 4.6 in the Midwest, 5.4 in the South, and 5.2 in the West. (Table 30)
PROPERTY CRIME
The trend data for burglary showed that the number of arrests for this offense increased 0.7 percent from 2006 to 2007, increased 4.9 percent from 2003 to 2007, and decreased 6.7 percent from 1998 to 2007. The number of adults arrested for burglary rose 1.7 percent from 2006 to 2007, rose 8.2 percent from 2003 to 2007, and rose 6.5 percent from 1998 to 2007. The number of juveniles arrested for burglary declined 1.8 percent from 2006 to 2007, decreased 2.9 percent from 2003 to 2007, and fell 30.3 percent from 1998 to 2007. (Tables 32, 34, and 36) For larceny-theft, the 2-year trend data showed that arrests increased 8.8 percent from 2006 to 2007, with adult arrests increasing 9.2 percent and juvenile arrests increasing 7.7 percent. The 5-year trend data showed that total larceny-theft arrests increased 1.0 percent from 2003 to 2007; adult arrests increased 5.1 percent and juvenile arrests declined 9.0 percent during this period. The 10year trend data showed that larceny-theft arrests dropped 12.9 percent from 1998 to 2007, with adult arrests falling 3.6 percent and juvenile arrests falling 32.1 percent. (Tables 32, 34, and 36) For motor vehicle theft, the 2-year trend data showed that arrests declined 12.7 percent from 2006 to 2007, with adult arrests decreasing 12.2 percent and juvenile arrests decreasing 14.0 percent. The 5-year trend data showed that total motor vehicle theft arrests fell 17.9 percent from 2003 to 2007; adult arrests declined 12.8 percent and juvenile arrests fell 30.3 percent during this period. The 10-year trend data showed that arrests dropped 22.4 percent from 1998 to 2007, with adult arrests falling 7.0 percent and juvenile arrests dropping 48.8 percent. (Tables 32, 34, and 36) The arson trend data showed that the number of arrests for this offense decreased 5.3 percent from 2006 to 2007, fell
By population group, law enforcement agencies in the nation’s cities collectively reported 642.8 property crime arrests per 100,000 inhabitants in 2007. In the city population groups, cities with 100,000 to 249,999 inhabitants reported the highest property crime arrest rate (704.7) and cities with under 10,000 inhabitants reported the lowest property crime arrest rate (590.6). Cities reported an overall burglary arrest rate of 108.9 per 100,000 inhabitants; cities with 100,000 to 249,999 inhabitants had the highest burglary arrest rate (136.4) and cities with 25,000 to 49,999 inhabitants had the lowest burglary arrest rate (90.8). The collective city larceny-theft arrest rate was 483.7 per 100,000 inhabitants, with the highest rate in cities with 25,000 to 49,999 inhabitants (516.9) and the lowest rate in cities with 250,000 or more inhabitants (442.7). The overall motor vehicle theft arrest rate for cities was 44.8 per 100,000 inhabitants; cities with 250,000 or more inhabitants had the highest motor vehicle theft arrest rate (77.6), and cities with 25,000 to 49,999 inhabitants had the lowest motor vehicle theft arrest rate (25.8). For arson, the collective city arrest rate was 5.3 per 100,000 inhabitants, with the greatest arrest rate in cities with under 10,000 inhabitants (7.1) and the lowest arrest rate in cities with 250,000 or more inhabitants (4.6). (Table 31) Agencies in metropolitan counties reported a property crime arrest rate of 339.2 per 100,000 inhabitants, with arrest rates of 82.8 for burglary, 222.3 for larceny-theft, 29.4 for motor vehicle theft, and 4.5 for arson. Agencies in nonmetropolitan counties reported arrest rates of 262.7 for property crime, 87.4 for burglary, 148.8 for larceny-theft, 22.2 for motor vehicle theft, and 4.3 for arson. (Table 31)
324
CRIME IN THE UNITED STATES (BERNAN PRESS)
By Age, Sex, and Race In 2007, most arrestees for property crime (74.0 percent) were over 18 years of age. By sex, males accounted for 66.6 percent of arrestees for property crime, 85.5 percent of arrestees for burglary, 60.0 percent of arrestees for larcenytheft, 82.3 percent of arrestees for motor vehicle theft, and 84.2 percent of arrestees for arson. Females accounted for 33.4 percent of property crime arrestees, 14.5 percent of burglary arrestees, 40.0 percent of larceny-theft arrestees, 17.7 percent of motor vehicle theft arrestees, and 15.8 percent of arson arrestees. (Tables 38 and 42)
By race, 67.9 percent of arrestees for property crime were White, 29.8 percent were Black, and 2.2 percent were of other races (American Indian or Alaska Native and Asian or Pacific Islander). For burglary, 68.5 percent of arrestees were White, 29.8 percent were Black, and 1.7 percent were of other races. For larceny-theft, 68.3 percent of arrestees were White, 29.3 percent were Black, and 2.4 percent were of other races. For motor vehicle theft, 62.2 percent of arrestees were White, 35.8 percent of arrestees were Black, and 2.1 percent were of other races. For arson, 74.6 percent of arrestees were White, 23.4 percent of arrestees were Black, and 1.9 percent were of other races. (Table 43)
SECTION IV: PERSONS ARRESTED 325 Table 29. Estimated Number of Arrests, 2007 (Number.) Offense4
Arrests
TOTAL1 .......................................................................................................................................................... Murder and nonnegligent manslaughter .................................................................................................... Forcible rape .................................................................................................................................................. Robbery .......................................................................................................................................................... Aggravated assault ........................................................................................................................................ Burglary .......................................................................................................................................................... Larceny-theft.................................................................................................................................................. Motor vehicle theft ........................................................................................................................................ Arson............................................................................................................................................................... Violent crime2 ............................................................................................................................................ Property crime2 .......................................................................................................................................... Other assaults................................................................................................................................................. Forgery and counterfeiting ........................................................................................................................... Fraud ............................................................................................................................................................... Embezzlement................................................................................................................................................ Stolen property; buying, receiving, possessing............................................................................................ Vandalism ....................................................................................................................................................... Weapons; carrying, possessing, etc. .............................................................................................................. Prostitution and commercialized vice ......................................................................................................... Sex offenses (except forcible rape and prostitution)................................................................................. Drug abuse violations ................................................................................................................................... Gambling ........................................................................................................................................................ Offenses against the family and children.................................................................................................... Driving under the influence ......................................................................................................................... Liquor laws ..................................................................................................................................................... Drunkenness .................................................................................................................................................. Disorderly conduct ........................................................................................................................................ Vagrancy ......................................................................................................................................................... All other offenses .......................................................................................................................................... Suspicion......................................................................................................................................................... Curfew and loitering law violations............................................................................................................. Runaways ....................................................................................................................................................... 1 Does
14,209,365 13,480 23,307 126,715 433,945 303,853 1,172,762 118,231 15,242 597,447 1,610,088 1,305,693 103,448 252,873 22,381 122,061 291,575 188,891 77,607 83,979 1,841,182 12,161 122,812 1,427,494 633,654 589,402 709,105 33,666 3,931,965 2,176 143,002 108,879
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson.
Table 30. Number and Rate of Arrests, by Geographic Region, 2007 (Number, rate per 100,000.)
Offense charged
United States total (11,936 agencies; population 225,518,634) Total
TOTAL1 ...................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime2 ........................................................................ Property crime2 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. .......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1 Does
4,743.3 4.5 7.7 42.9 145.1 101.5 398.0 39.5 5.1 200.2 544.1 436.3 34.6 82.1 7.5 40.9 98.0 63.3 26.3 27.8 614.8 4.1 39.4 468.2 212.3 200.0 239.6 11.4 1,307.2 0.7 48.7 36.6
Total 1,602,821 1,322 2,916 18,923 50,507 32,730 143,144 10,207 2,115 73,668 188,196 160,186 11,871 27,206 2,210 16,422 43,359 17,808 7,101 10,413 219,386 714 22,294 141,062 56,603 36,111 128,965 2,962 398,418 172 30,338 7,528
Rate 3,711.5 3.1 6.8 43.8 117.0 75.8 331.5 23.6 4.9 170.6 435.8 370.9 27.5 63.0 5.1 38.0 100.4 41.2 16.4 24.1 508.0 1.7 51.6 326.6 131.1 83.6 298.6 6.9 922.6 0.4 70.3 17.4
Midwest (3,073 agencies; population 46,018,587) Total 2,228,363 1,778 4,122 16,069 48,879 37,695 197,403 19,899 2,114 70,848 257,111 203,761 12,854 33,012 2,135 20,978 46,527 26,348 10,832 12,818 252,903 4,862 23,286 239,384 173,406 36,249 172,039 4,319 584,773 209 19,433 20,485
Rate 4,842.3 3.9 9.0 34.9 106.2 81.9 429.0 43.2 4.6 154.0 558.7 442.8 27.9 71.7 4.6 45.6 101.1 57.3 23.5 27.9 549.6 10.6 50.6 520.2 376.8 78.8 373.8 9.4 1,270.7 0.5 42.2 44.5
South (4,229 agencies; population 72,367,116) Total 3,836,036 3,998 5,809 31,995 98,515 82,086 326,189 23,285 3,888 140,317 435,448 393,556 31,072 102,463 8,684 24,383 55,396 49,157 18,727 16,249 480,863 2,745 29,882 295,549 112,212 257,788 162,465 8,584 1,158,596 1,033 22,385 29,515
Rate 5,300.8 5.5 8.0 44.2 136.1 113.4 450.7 32.2 5.4 193.9 601.7 543.8 42.9 141.6 12.0 33.7 76.5 67.9 25.9 22.5 664.5 3.8 41.3 408.4 155.1 356.2 224.5 11.9 1,601.0 1.4 30.9 40.8
West (1,724 agencies; population 63,947,435) Total 3,029,813 2,984 4,597 29,733 129,236 76,335 230,890 35,631 3,334 166,550 346,190 226,461 22,208 22,548 3,986 30,432 75,758 49,432 22,730 23,276 433,242 831 13,425 379,986 136,450 120,907 76,801 9,766 806,244 175 37,659 24,931
Rate 4,738.0 4.7 7.2 46.5 202.1 119.4 361.1 55.7 5.2 260.4 541.4 354.1 34.7 35.3 6.2 47.6 118.5 77.3 35.5 36.4 677.5 1.3 21.0 594.2 213.4 189.1 120.1 15.3 1,260.8 0.3 58.9 39.0
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson.
10,697,033 10,082 17,444 96,720 327,137 228,846 897,626 89,022 11,451 451,383 1,226,945 983,964 78,005 185,229 17,015 92,215 221,040 142,745 59,390 62,756 1,386,394 9,152 88,887 1,055,981 478,671 451,055 540,270 25,631 2,948,031 1,589 109,815 82,459
Rate
Northeast (2,910 agencies; population 43,185,496)
326
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 31. Number and Rate of Arrests, by Population Group, 2007 (Number, rate per 100,000 population.) Cities
Offense charged
Total (11,250 agencies; population 216,686,722) Total
TOTAL1 ...................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime2 ........................................................................ Property crime2 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1
10,697,033 10,082 17,444 96,720 327,137 228,846 897,626 89,022 11,451 451,383 1,226,945 983,964 78,005 185,229 17,015 92,215 221,040 142,745 59,390 62,756 1,386,394 9,152 88,887 1,055,981 478,671 451,055 540,270 25,631 2,948,031 1,589 109,815 82,459
Rate 4,743.3 4.5 7.7 42.9 145.1 101.5 398.0 39.5 5.1 200.2 544.1 436.3 34.6 82.1 7.5 40.9 98.0 63.3 26.3 27.8 614.8 4.1 39.4 468.2 212.3 200.0 239.6 11.4 1,307.2 0.7 48.7 36.6
Total cities (8,199 cities; population 151,460,208) Total 8,165,997 7,518 12,853 83,356 251,311 171,476 761,461 70,482 8,414 355,038 1,011,833 751,839 60,078 105,543 13,465 71,493 177,716 114,494 56,745 45,134 1,073,890 8,249 40,471 676,504 387,504 392,586 467,398 22,932 2,163,947 899 105,534 63,604
Rate 5,187.4 4.8 8.2 53.0 159.6 108.9 483.7 44.8 5.3 225.5 642.8 477.6 38.2 67.0 8.6 45.4 112.9 72.7 36.0 28.7 682.2 5.2 25.7 429.7 246.2 249.4 296.9 14.6 1,374.6 0.6 67.0 40.4
Group I (59 cities, 250,000 and over; population 40,435,530) Total 2,251,897 3,514 4,266 36,439 85,151 46,126 183,677 32,190 1,900 129,370 263,893 202,136 16,278 17,384 2,558 22,202 44,359 44,016 39,411 16,130 386,211 6,571 5,260 134,078 61,414 96,307 110,192 13,579 565,534 0 56,691 18,323
Rate 5,427.1 8.5 10.3 87.8 205.2 111.2 442.7 77.6 4.6 311.8 636.0 487.2 39.2 41.9 6.2 53.5 106.9 106.1 95.0 38.9 930.8 15.8 12.7 323.1 148.0 232.1 265.6 32.7 1,363.0 0.0 136.6 44.2
Group II (150 cities, 100,000 to 249,999; population 22,519,131) Total 1,147,663 1,367 1,945 14,664 41,395 30,457 114,655 10,948 1,297 59,371 157,357 116,244 8,226 11,674 2,884 10,002 25,076 17,799 8,150 6,151 157,505 565 6,132 80,984 45,665 59,509 56,362 2,500 295,877 6 9,446 10,184
Rate 5,139.3 6.1 8.7 65.7 185.4 136.4 513.4 49.0 5.8 265.9 704.7 520.5 36.8 52.3 12.9 44.8 112.3 79.7 36.5 27.5 705.3 2.5 27.5 362.6 204.5 266.5 252.4 11.2 1,325.0 0.0 42.3 45.6
Group III (368 cities, 50,000 to 99,999; population 25,265,390) Total 1,307,595 909 1,828 12,442 41,458 30,697 139,495 9,221 1,406 56,637 180,819 122,957 9,719 17,369 2,464 12,806 30,065 17,052 4,976 7,101 163,400 265 7,240 103,658 57,947 67,020 71,853 2,371 344,965 176 13,793 13,118
Rate 4,835.1 3.4 6.8 46.0 153.3 113.5 515.8 34.1 5.2 209.4 668.6 454.7 35.9 64.2 9.1 47.4 111.2 63.1 18.4 26.3 604.2 1.0 26.8 383.3 214.3 247.8 265.7 8.8 1,275.6 0.7 51.0 48.5
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 3 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. 2 Violent
SECTION IV: PERSONS ARRESTED 327 Table 31. Number and Rate of Arrests, by Population Group, 2007 (Contd.) (Number, rate per 100,000 population.) Cities
Offense charged
Group IV (654 cities, 25,000 to 49,999; population 22,552,890) Total
TOTAL1 ...................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime2 ........................................................................ Property crime2 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1
1,087,187 720 1,643 8,534 29,713 21,430 122,022 6,080 1,126 40,610 150,658 102,647 8,242 15,200 2,267 9,715 25,749 12,484 2,742 5,395 120,878 262 7,305 100,210 54,992 53,374 62,001 1,960 293,614 246 7,969 8,913
Rate
Counties
Group V (1,419 cities, 10,000 to 24,999; population 22,395,901) Total
4,605.8 1,172,238 3.1 599 7.0 1,606 36.2 7,024 125.9 27,766 90.8 22,545 516.9 114,446 25.8 6,163 4.8 1,304 172.0 36,995 638.2 144,458 434.9 105,060 34.9 9,088 64.4 19,390 9.6 2,057 41.2 9,308 109.1 26,205 52.9 11,392 11.6 917 22.9 5,289 512.1 120,898 1.1 237 30.9 7,524 424.5 122,434 233.0 69,557 226.1 58,422 262.7 75,167 8.3 948 1,243.9 330,320 1.0 148 33.8 8,896 37.8 7,676
Rate
Group VI (5,549 cities, under 10,000; population 18,291,366) Total
4,980.9 1,199,417 2.5 409 6.8 1,565 29.8 4,253 118.0 25,828 95.8 20,221 486.3 87,166 26.2 5,880 5.5 1,381 157.2 32,055 613.8 114,648 446.4 102,795 38.6 8,525 82.4 24,526 8.7 1,235 39.6 7,460 111.3 26,262 48.4 11,751 3.9 549 22.5 5,068 513.7 124,998 1.0 349 32.0 7,010 520.2 135,140 295.6 97,929 248.2 57,954 319.4 91,823 4.0 1,574 1,403.6 333,637 0.6 323 37.8 8,739 32.6 5,390
Rate
Nonmetropolitan counties (1,799 agencies; population 19,439,450)
Suburban area3 (6,122 agencies; population 94,714,217)
Rate
Total
Rate
Total
3,733.8 4.1 6.4 24.1 118.7 82.8 222.3 29.4 4.5 153.4 339.2 341.5 27.7 109.2 5.6 33.0 63.9 44.5 5.2 25.5 468.8 1.3 75.1 509.7 116.3 84.6 104.2 5.2 1,179.7 1.3 8.2 32.2
762,772 620 1,548 1,936 19,593 18,135 30,868 4,602 884 23,697 54,489 70,406 4,823 27,984 915 5,097 13,065 7,185 161 5,557 90,478 302 12,840 138,117 36,078 18,411 23,525 217 225,407 73 408 3,610
3,677.8 4,201,850 3.0 3,095 7.5 6,302 9.3 27,190 94.5 115,349 87.4 84,443 148.8 340,518 22.2 26,932 4.3 4,853 114.3 151,936 262.7 456,746 339.5 372,393 23.3 30,360 134.9 88,486 4.4 6,299 24.6 36,651 63.0 85,621 34.6 47,877 0.8 6,126 26.8 23,328 436.3 493,774 1.5 1,224 61.9 50,682 665.9 496,340 174.0 196,312 88.8 153,383 113.4 208,355 1.0 6,001 1,086.8 1,238,040 0.4 1,152 2.0 22,785 17.4 29,131
Metropolitan counties1 (1,252 agencies; population 45,787,064) Total
6,178.2 1,768,264 2.1 1,944 8.1 3,043 21.9 11,428 133.0 56,233 104.2 39,235 449.0 105,297 30.3 13,938 7.1 2,153 165.1 72,648 590.6 160,623 529.5 161,719 43.9 13,104 126.3 51,702 6.4 2,635 38.4 15,625 135.3 30,259 60.5 21,066 2.8 2,484 26.1 12,065 643.9 222,026 1.8 601 36.1 35,576 696.1 241,360 504.4 55,089 298.5 40,058 473.0 49,347 8.1 2,482 1,718.6 558,677 1.7 617 45.0 3,873 27.8 15,245
Rate 4,247.3 3.1 6.4 27.5 116.6 85.4 344.2 27.2 4.9 153.6 461.7 376.4 30.7 89.4 6.4 37.0 86.5 48.4 6.2 23.6 499.1 1.2 51.2 501.7 198.4 155.0 210.6 6.1 1,251.4 1.2 23.0 29.4
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 3 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. 2 Violent
328
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 32. Ten-Year Arrest Trends, 1998 and 2007 (Number, percent change; 7,946 agencies; 2007 estimated population 171,876,948; 1998 estimated population 154,013,711.) Number of persons arrested Total all ages
Offense charged
TOTAL1 ..................................................................................... Murder and nonnegligent manslaughter................................ Forcible rape.............................................................................. Robbery ..................................................................................... Aggravated assault.................................................................... Burglary ..................................................................................... Larceny-theft ............................................................................. Motor vehicle theft ................................................................... Arson .......................................................................................... Violent crime2 ........................................................................ Property crime2 ..................................................................... Other assaults ............................................................................ Forgery and counterfeiting ...................................................... Fraud........................................................................................... Embezzlement........................................................................... Stolen property; buying, receiving, possessing....................... Vandalism................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice..................................... Sex offenses (except forcible rape and prostitution) ............ Drug abuse violations............................................................... Gambling.................................................................................... Offenses against the family and children ............................... Driving under the influence..................................................... Liquor laws ................................................................................ Drunkenness.............................................................................. Disorderly conduct ................................................................... Vagrancy..................................................................................... All other offenses (except traffic)........................................... Suspicion .................................................................................... Curfew and loitering law violations ........................................ Runaways................................................................................... 1
1998
2007
8,397,065 8,232 17,148 68,353 290,851 195,696 791,085 80,925 10,055 384,584 1,077,761 768,038 67,870 213,800 11,115 78,371 173,617 109,533 50,082 52,527 878,355 5,067 85,823 803,030 375,009 468,796 387,534 17,994 2,185,863 3,463 104,976 97,320
8,118,197 7,301 13,212 72,355 257,464 182,552 689,037 62,766 9,094 350,332 943,449 754,280 58,832 147,985 14,065 72,904 168,815 106,080 39,081 45,871 1,033,203 3,289 71,305 788,864 332,231 410,583 358,428 16,388 2,267,145 1,299 73,217 61,850
Under 18 years of age Percent change -3.3 -11.3 -23.0 +5.9 -11.5 -6.7 -12.9 -22.4 -9.6 -8.9 -12.5 -1.8 -13.3 -30.8 +26.5 -7.0 -2.8 -3.2 -22.0 -12.7 +17.6 -35.1 -16.9 -1.8 -11.4 -12.4 -7.5 -8.9 +3.7 -62.5 -30.3 -36.4
1998
2007
1,527,681 983 2,975 18,439 42,358 70,171 258,540 29,882 5,407 64,755 364,000 138,780 4,250 6,066 1,018 19,869 75,418 26,395 743 9,531 116,352 495 5,765 11,917 94,257 15,964 101,767 1,805 266,238 903 104,976 97,320
1,215,839 753 2,034 19,550 33,314 48,903 175,561 15,289 4,391 55,651 244,144 138,795 1,699 4,480 1,072 13,230 64,927 24,328 785 8,106 109,444 360 3,095 9,867 74,948 11,518 104,380 2,719 207,224 255 73,217 61,850
18 years of age and over Percent change -20.4 -23.4 -31.6 +6.0 -21.4 -30.3 -32.1 -48.8 -18.8 -14.1 -32.9 * -60.0 -26.1 +5.3 -33.4 -13.9 -7.8 +5.7 -15.0 -5.9 -27.3 -46.3 -17.2 -20.5 -27.9 +2.6 +50.6 -22.2 -71.8 -30.3 -36.4
1998
2007
6,869,384 7,249 14,173 49,914 248,493 125,525 532,545 51,043 4,648 319,829 713,761 629,258 63,620 207,734 10,097 58,502 98,199 83,138 49,339 42,996 762,003 4,572 80,058 791,113 280,752 452,832 285,767 16,189 1,919,625 2,560 -
6,902,358 6,548 11,178 52,805 224,150 133,649 513,476 47,477 4,703 294,681 699,305 615,485 57,133 143,505 12,993 59,674 103,888 81,752 38,296 37,765 923,759 2,929 68,210 778,997 257,283 399,065 254,048 13,669 2,059,921 1,044 -
Percent change +0.5 -9.7 -21.1 +5.8 -9.8 +6.5 -3.6 -7.0 +1.2 -7.9 -2.0 -2.2 -10.2 -30.9 +28.7 +2.0 +5.8 -1.7 -22.4 -12.2 +21.2 -35.9 -14.8 -1.5 -8.4 -11.9 -11.1 -15.6 +7.3 -59.2 -
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
2 Violent
SECTION IV: PERSONS ARRESTED 329 Table 33. Ten-Year Arrest Trends, by Sex, 1998 and 2007 (7,946 agencies; 2007 estimated population 171,876,948; 1998 estimated population 154,013,711.) Male Offense charged 1998
2007
TOTAL1 .................................................................................... 6,550,864 6,150,145 Murder and nonnegligent manslaughter .............................. 7,342 6,519 Forcible rape ............................................................................ 16,942 13,079 Robbery .................................................................................... 61,410 64,004 Aggravated assault .................................................................. 234,040 202,588 Burglary .................................................................................... 170,504 154,607 Larceny-theft............................................................................ 514,574 413,125 Motor vehicle theft .................................................................. 68,494 51,382 Arson......................................................................................... 8,606 7,685 Violent crime2 ...................................................................... 319,734 286,190 Property crime2 .................................................................... 762,178 626,799 Other assaults........................................................................... 593,042 560,655 Forgery and counterfeiting ..................................................... 41,508 36,217 Fraud ......................................................................................... 114,751 82,340 Embezzlement.......................................................................... 5,584 6,849 Stolen property; buying, receiving, possessing...................... 66,132 57,865 Vandalism ................................................................................. 147,331 139,748 Weapons; carrying, possessing, etc. ....................................... 100,973 97,822 Prostitution and commercialized vice ................................... 20,745 11,485 Sex offenses (except forcible rape and prostitution)........... 48,658 42,369 Drug abuse violations ............................................................. 723,435 833,941 Gambling .................................................................................. 4,568 2,769 Offenses against the family and children.............................. 67,843 53,754 Driving under the influence ................................................... 676,911 626,371 Liquor laws ............................................................................... 294,553 242,820 Drunkenness ............................................................................ 409,100 345,502 Disorderly conduct .................................................................. 293,691 261,327 Vagrancy ................................................................................... 14,281 12,761 All other offenses (except traffic) ......................................... 1,732,271 1,744,417 Suspicion................................................................................... 2,766 1,031 Curfew and loitering law violations....................................... 73,163 51,116 Runaways ................................................................................. 40,412 27,028 1
Female
Total
Under 18 Percent change
1998
-6.1 1,114,987 -11.2 898 -22.8 2,914 +4.2 16,813 -13.4 33,029 -9.3 62,217 -19.7 169,452 -25.0 24,689 -10.7 4,832 -10.5 53,654 -17.8 261,190 -5.5 96,249 -12.7 2,754 -28.2 3,969 +22.7 575 -12.5 17,289 -5.1 66,314 -3.1 24,048 -44.6 349 -12.9 8,870 +15.3 99,691 -39.4 479 -20.8 3,648 -7.5 9,849 -17.6 66,251 -15.5 13,056 -11.0 72,357 -10.6 1,505 +0.7 199,315 -62.7 686 -30.1 73,163 -33.1 40,412
2007 858,746 702 2,005 17,654 25,602 42,872 100,042 12,701 3,880 45,963 159,495 91,986 1,146 2,849 618 10,809 56,177 21,999 170 7,450 91,800 347 1,885 7,513 47,505 8,697 69,051 1,917 153,225 189 51,116 27,028
Total Percent change
1998
2007
-23.0 1,846,201 1,968,052 -21.8 890 782 -31.2 206 133 +5.0 6,943 8,351 -22.5 56,811 54,876 -31.1 25,192 27,945 -41.0 276,511 275,912 -48.6 12,431 11,384 -19.7 1,449 1,409 -14.3 64,850 64,142 -38.9 315,583 316,650 -4.4 174,996 193,625 -58.4 26,362 22,615 -28.2 99,049 65,645 +7.5 5,531 7,216 -37.5 12,239 15,039 -15.3 26,286 29,067 -8.5 8,560 8,258 -51.3 29,337 27,596 -16.0 3,869 3,502 -7.9 154,920 199,262 -27.6 499 520 -48.3 17,980 17,551 -23.7 126,119 162,493 -28.3 80,456 89,411 -33.4 59,696 65,081 -4.6 93,843 97,101 +27.4 3,713 3,627 -23.1 453,592 522,728 -72.4 697 268 -30.1 31,813 22,101 -33.1 56,908 34,822
Under 18 Percent change +6.6 -12.1 -35.4 +20.3 -3.4 +10.9 -0.2 -8.4 -2.8 -1.1 +0.3 +10.6 -14.2 -33.7 +30.5 +22.9 +10.6 -3.5 -5.9 -9.5 +28.6 +4.2 -2.4 +28.8 +11.1 +9.0 +3.5 -2.3 +15.2 -61.5 -30.5 -38.8
1998
2007
412,694 85 61 1,626 9,329 7,954 89,088 5,193 575 11,101 102,810 42,531 1,496 2,097 443 2,580 9,104 2,347 394 661 16,661 16 2,117 2,068 28,006 2,908 29,410 300 66,923 217 31,813 56,908
357,093 51 29 1,896 7,712 6,031 75,519 2,588 511 9,688 84,649 46,809 553 1,631 454 2,421 8,750 2,329 615 656 17,644 13 1,210 2,354 27,443 2,821 35,329 802 53,999 66 22,101 34,822
Percent change -13.5 -40.0 -52.5 +16.6 -17.3 -24.2 -15.2 -50.2 -11.1 -12.7 -17.7 +10.1 -63.0 -22.2 +2.5 -6.2 -3.9 -0.8 +56.1 -0.8 +5.9 -18.8 -42.8 +13.8 -2.0 -3.0 +20.1 +167.3 -19.3 -69.6 -30.5 -38.8
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
330
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 34. Five-Year Arrest Trends, by Age, 2003 and 2007 (Number, percent change; 9,746 agencies; 2007 estimated population 187,132,870; 2003 estimated population 180,729,448.) Number of persons arrested Total all ages
Offense charged
TOTAL1 ..................................................................................... Murder and nonnegligent manslaughter................................ Forcible rape.............................................................................. Robbery ..................................................................................... Aggravated assault.................................................................... Burglary ..................................................................................... Larceny-theft ............................................................................. Motor vehicle theft ................................................................... Arson .......................................................................................... Violent crime2 ........................................................................ Property crime2 ..................................................................... Other assaults ............................................................................ Forgery and counterfeiting ...................................................... Fraud........................................................................................... Embezzlement........................................................................... Stolen property; buying, receiving, possessing....................... Vandalism................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice..................................... Sex offenses (except forcible rape and prostitution) ............ Drug abuse violations............................................................... Gambling.................................................................................... Offenses against the family and children ............................... Driving under the influence..................................................... Liquor laws ................................................................................ Drunkenness.............................................................................. Disorderly conduct ................................................................... Vagrancy..................................................................................... All other offenses (except traffic)........................................... Suspicion .................................................................................... Curfew and loitering law violations ........................................ Runaways................................................................................... 1
2003
2007
8,480,862 7,406 15,619 60,487 275,833 183,664 728,039 81,982 10,061 359,345 1,003,746 783,775 72,157 207,296 11,890 83,042 173,591 100,593 34,845 54,249 1,002,012 3,512 86,404 888,660 388,033 364,149 399,596 17,261 2,312,306 1,163 57,930 76,470
8,814,016 7,623 13,699 70,536 269,706 192,743 735,272 67,316 9,792 361,564 1,005,123 813,015 64,027 167,673 15,151 78,750 185,412 113,014 33,421 50,696 1,097,267 3,004 79,342 903,244 390,964 408,141 418,957 13,061 2,483,251 1,423 59,686 69,253
Under 18 years of age Percent change +3.9 +2.9 -12.3 +16.6 -2.2 +4.9 +1.0 -17.9 -2.7 +0.6 +0.1 +3.7 -11.3 -19.1 +27.4 -5.2 +6.8 +12.3 -4.1 -6.5 +9.5 -14.5 -8.2 +1.6 +0.8 +12.1 +4.8 -24.3 +7.4 +22.4 +3.0 -9.4
2003
2007
1,370,961 599 2,501 13,836 37,231 54,171 211,717 23,945 5,255 54,167 295,088 151,619 3,045 5,111 820 16,004 69,445 23,607 722 11,590 117,540 328 4,519 12,825 88,615 11,474 123,728 1,332 244,982 389 57,930 76,470
1,330,889 753 2,183 18,624 35,102 52,595 192,752 16,679 4,894 56,662 266,920 150,646 1,929 4,819 1,174 14,548 71,884 26,345 728 9,523 117,686 359 3,799 11,484 90,330 11,819 121,975 896 238,424 292 59,686 69,253
18 years of age and over Percent change -2.9 +25.7 -12.7 +34.6 -5.7 -2.9 -9.0 -30.3 -6.9 +4.6 -9.5 -0.6 -36.7 -5.7 +43.2 -9.1 +3.5 +11.6 +0.8 -17.8 +0.1 +9.5 -15.9 -10.5 +1.9 +3.0 -1.4 -32.7 -2.7 -24.9 +3.0 -9.4
2003
2007
7,109,901 6,807 13,118 46,651 238,602 129,493 516,322 58,037 4,806 305,178 708,658 632,156 69,112 202,185 11,070 67,038 104,146 76,986 34,123 42,659 884,472 3,184 81,885 875,835 299,418 352,675 275,868 15,929 2,067,324 774 -
7,483,127 6,870 11,516 51,912 234,604 140,148 542,520 50,637 4,898 304,902 738,203 662,369 62,098 162,854 13,977 64,202 113,528 86,669 32,693 41,173 979,581 2,645 75,543 891,760 300,634 396,322 296,982 12,165 2,244,827 1,131 -
Percent change +5.2 +0.9 -12.2 +11.3 -1.7 +8.2 +5.1 -12.8 +1.9 -0.1 +4.2 +4.8 -10.1 -19.5 +26.3 -4.2 +9.0 +12.6 -4.2 -3.5 +10.8 -16.9 -7.7 +1.8 +0.4 +12.4 +7.7 -23.6 +8.6 +46.1 -
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 331 Table 35. Five-Year Arrest Trends by Age and Sex, 2003 and 2007 (Number, percent change; 9,746 agencies; 2007 estimated population 187,132,870; 2003 estimated population 180,729,44.) Male Offense charged 2003
2007
TOTAL1 .................................................................................... 6,488,366 6,656,579 Murder and nonnegligent manslaughter .............................. 6,569 6,805 Forcible rape ............................................................................ 15,409 13,552 Robbery .................................................................................... 54,012 62,432 Aggravated assault .................................................................. 218,497 212,486 Burglary .................................................................................... 157,696 163,537 Larceny-theft............................................................................ 456,489 439,829 Motor vehicle theft .................................................................. 68,149 55,010 Arson......................................................................................... 8,550 8,309 Violent crime2 ...................................................................... 294,487 295,275 Property crime2 .................................................................... 690,884 666,685 Other assaults........................................................................... 592,533 604,611 Forgery and counterfeiting ..................................................... 42,999 39,268 Fraud ......................................................................................... 111,771 91,641 Embezzlement.......................................................................... 5,911 7,360 Stolen property; buying, receiving, possessing...................... 67,850 62,419 Vandalism ................................................................................. 145,078 153,800 Weapons; carrying, possessing, etc. ........................................ 92,319 104,179 Prostitution and commercialized vice ................................... 12,546 10,861 Sex offenses (except forcible rape and prostitution)........... 50,234 46,689 Drug abuse violations ............................................................. 813,481 882,589 Gambling .................................................................................. 2,913 2,600 Offenses against the family and children.............................. 66,709 59,557 Driving under the influence ................................................... 724,911 714,625 Liquor laws ............................................................................... 288,242 281,189 Drunkenness ............................................................................ 310,909 342,213 Disorderly conduct .................................................................. 296,046 305,441 Vagrancy ................................................................................... 13,380 10,332 All other offenses (except traffic) ......................................... 1,794,343 1,904,256 Suspicion................................................................................... 942 1,127 Curfew and loitering law violations....................................... 39,372 40,403 Runaways ................................................................................. 31,448 30,586 1
Female
Total
Under 18 Percent change +2.6 +3.6 -12.1 +15.6 -2.8 +3.7 -3.6 -19.3 -2.8 +0.3 -3.5 +2.0 -8.7 -18.0 +24.5 -8.0 +6.0 +12.8 -13.4 -7.1 +8.5 -10.7 -10.7 -1.4 -2.4 +10.1 +3.2 -22.8 +6.1 +19.6 +2.6 -2.7
2003
2007
969,405 542 2,459 12,591 28,506 47,626 128,945 19,623 4,656 44,098 200,850 102,470 1,969 3,363 487 13,543 59,793 21,173 224 10,504 97,006 311 2,753 10,213 57,765 8,746 85,108 1,003 177,206 298 39,372 31,448
934,854 690 2,143 16,897 27,004 46,231 110,134 13,718 4,327 46,734 174,410 99,858 1,298 3,056 685 11,834 62,173 23,896 167 8,617 97,915 346 2,324 8,751 56,562 8,758 81,550 697 174,234 216 40,403 30,586
Total Percent change
2003
2007
-3.6 1,992,496 2,157,437 +27.3 837 818 -12.9 210 147 +34.2 6,475 8,104 -5.3 57,336 57,220 -2.9 25,968 29,206 -14.6 271,550 295,443 -30.1 13,833 12,306 -7.1 1,511 1,483 +6.0 64,858 66,289 -13.2 312,862 338,438 -2.5 191,242 208,404 -34.1 29,158 24,759 -9.1 95,525 76,032 +40.7 5,979 7,791 -12.6 15,192 16,331 +4.0 28,513 31,612 +12.9 8,274 8,835 -25.4 22,299 22,560 -18.0 4,015 4,007 +0.9 188,531 214,678 +11.3 599 404 -15.6 19,695 19,785 -14.3 163,749 188,619 -2.1 99,791 109,775 +0.1 53,240 65,928 -4.2 103,550 113,516 -30.5 3,881 2,729 -1.7 517,963 578,995 -27.5 221 296 +2.6 18,558 19,283 -2.7 45,022 38,667
Under 18 Percent change +8.3 -2.3 -30.0 +25.2 -0.2 +12.5 +8.8 -11.0 -1.9 +2.2 +8.2 +9.0 -15.1 -20.4 +30.3 +7.5 +10.9 +6.8 +1.2 -0.2 +13.9 -32.6 +0.5 +15.2 +10.0 +23.8 +9.6 -29.7 +11.8 +33.9 +3.9 -14.1
2003
2007
401,556 57 42 1,245 8,725 6,545 82,772 4,322 599 10,069 94,238 49,149 1,076 1,748 333 2,461 9,652 2,434 498 1,086 20,534 17 1,766 2,612 30,850 2,728 38,620 329 67,776 91 18,558 45,022
396,035 63 40 1,727 8,098 6,364 82,618 2,961 567 9,928 92,510 50,788 631 1,763 489 2,714 9,711 2,449 561 906 19,771 13 1,475 2,733 33,768 3,061 40,425 199 64,190 76 19,283 38,667
Percent change -1.4 +10.5 -4.8 +38.7 -7.2 -2.8 -0.2 -31.5 -5.3 -1.4 -1.8 +3.3 -41.4 +0.9 +46.8 +10.3 +0.6 +0.6 +12.7 -16.6 -3.7 -23.5 -16.5 +4.6 +9.5 +12.2 +4.7 -39.5 -5.3 -16.5 +3.9 -14.1
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
332
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 36. Current Year Over Previous Year Arrest Trends, 2006–2007 (10,565 agencies; 2007 estimated population 198,239,257; 2006 estimated population 196,944,864) Number of persons arrested Offense charged
TOTAL1 .................................................................................... Murder and nonnegligent manslaughter .............................. Forcible rape ............................................................................ Robbery .................................................................................... Aggravated assault .................................................................. Burglary .................................................................................... Larceny-theft............................................................................ Motor vehicle theft .................................................................. Arson......................................................................................... Violent crime2 ...................................................................... Property crime2 .................................................................... Other assaults........................................................................... Forgery and counterfeiting ..................................................... Fraud ......................................................................................... Embezzlement.......................................................................... Stolen property; buying, receiving, possessing...................... Vandalism ................................................................................. Weapons; carrying, possessing, etc. ........................................ Prostitution and commercialized vice ................................... Sex offenses (except forcible rape and prostitution)........... Drug abuse violations ............................................................. Gambling .................................................................................. Offenses against the family and children.............................. Driving under the influence ................................................... Liquor laws ............................................................................... Drunkenness ............................................................................ Disorderly conduct .................................................................. Vagrancy ................................................................................... All other offenses (except traffic) ......................................... Suspicion................................................................................... Curfew and loitering law violations....................................... Runaways ................................................................................. 1
Total all ages 2006
2007
9,373,116 8,187 15,915 78,514 291,302 201,790 727,824 79,906 11,085 393,918 1,020,605 857,633 70,985 196,357 13,996 83,112 198,990 125,962 40,109 53,985 1,177,175 3,712 85,098 940,252 425,700 396,541 472,715 23,364 2,629,273 1,457 91,544 72,090
9,347,086 8,177 15,195 79,480 286,542 203,280 791,831 69,785 10,500 389,394 1,075,396 867,481 65,706 177,389 15,987 78,131 195,680 118,902 38,812 51,763 1,157,167 3,671 83,649 947,116 423,246 422,078 466,953 20,557 2,590,737 1,312 87,226 70,045
Under 15 years of age Percent change -0.3 -0.1 -4.5 +1.2 -1.6 +0.7 +8.8 -12.7 -5.3 -1.1 +5.4 +1.1 -7.4 -9.7 +14.2 -6.0 -1.7 -5.6 -3.2 -4.1 -1.7 -1.1 -1.7 +0.7 -0.6 +6.4 -1.2 -12.0 -1.5 -10.0 -4.7 -2.8
2006
2007
429,255 72 904 4,807 12,492 17,575 64,140 4,697 3,176 18,275 89,588 65,105 260 824 35 3,681 32,221 10,358 110 4,966 18,847 90 1,140 381 8,693 1,336 55,368 1,185 67,804 68 25,454 23,534
403,797 85 840 4,418 11,666 16,256 63,628 3,820 2,966 17,009 86,670 61,615 265 783 47 3,397 30,603 9,000 86 4,765 18,098 63 1,201 368 8,687 1,319 50,908 862 62,371 72 23,765 21,915
Percent change
Under 18 years of age 2006
2007
-5.9 1,459,469 1,435,817 +18.1 774 796 -7.1 2,451 2,411 -8.1 21,144 20,963 -6.6 38,728 37,173 -7.5 55,398 54,402 -0.8 189,735 204,413 -18.7 19,912 17,134 -6.6 5,492 5,037 -6.9 63,097 61,343 -3.3 270,537 280,986 -5.4 164,573 159,933 +1.9 2,318 2,053 -5.0 5,237 5,149 +34.3 978 1,226 -7.7 14,827 14,177 -5.0 78,352 75,167 -13.1 30,169 27,970 -21.8 789 761 -4.0 10,432 9,990 -4.0 123,217 123,590 -30.0 471 404 +5.4 3,628 4,021 -3.4 12,901 12,113 -0.1 94,911 95,623 -1.3 11,848 12,218 -8.1 141,013 133,955 -27.3 3,531 2,780 -8.0 263,006 255,087 +5.9 300 275 -6.6 91,544 87,226 -6.9 72,090 70,045
Percent change
18 years of age and over 2006
2007
-1.6 7,913,647 7,911,269 +2.8 7,413 7,381 -1.6 13,464 12,784 -0.9 57,370 58,517 -4.0 252,574 249,369 -1.8 146,392 148,878 +7.7 538,089 587,418 -14.0 59,994 52,651 -8.3 5,593 5,463 -2.8 330,821 328,051 +3.9 750,068 794,410 -2.8 693,060 707,548 -11.4 68,667 63,653 -1.7 191,120 172,240 +25.4 13,018 14,761 -4.4 68,285 63,954 -4.1 120,638 120,513 -7.3 95,793 90,932 -3.5 39,320 38,051 -4.2 43,553 41,773 +0.3 1,053,958 1,033,577 -14.2 3,241 3,267 +10.8 81,470 79,628 -6.1 927,351 935,003 +0.8 330,789 327,623 +3.1 384,693 409,860 -5.0 331,702 332,998 -21.3 19,833 17,777 -3.0 2,366,267 2,335,650 -8.3 1,157 1,037 -4.7 -2.8 -
Percent change * -0.4 -5.1 +2.0 -1.3 +1.7 +9.2 -12.2 -2.3 -0.8 +5.9 +2.1 -7.3 -9.9 +13.4 -6.3 -0.1 -5.1 -3.2 -4.1 -1.9 +0.8 -2.3 +0.8 -1.0 +6.5 +0.4 -10.4 -1.3 -10.4 -
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 333 Table 37. Current Year Over Previous Year Arrest Trends, by Age and Sex, 2006–2007 (Number, percent change; 10,565 agencies; 2007 estimated population 198,239,257; 2006 estimated population 196,944,864.) Male Offense charged 2006
2007
TOTAL1 .................................................................................... 7,117,907 7,055,371 Murder and nonnegligent manslaughter .............................. 7,275 7,320 Forcible rape ............................................................................ 15,710 15,030 Robbery .................................................................................... 69,562 70,271 Aggravated assault .................................................................. 230,703 225,270 Burglary .................................................................................... 171,973 172,858 Larceny-theft............................................................................ 451,279 473,191 Motor vehicle theft .................................................................. 65,668 57,100 Arson......................................................................................... 9,228 8,903 Violent crime2 ...................................................................... 323,250 317,891 Property crime2 .................................................................... 698,148 712,052 Other assaults........................................................................... 640,038 645,993 Forgery and counterfeiting ..................................................... 42,675 40,028 Fraud ......................................................................................... 106,917 97,431 Embezzlement.......................................................................... 6,548 7,750 Stolen property; buying, receiving, .possessing..................... 67,396 62,948 Vandalism ................................................................................. 165,478 162,108 Weapons; carrying, possessing, etc. ........................................ 115,669 109,397 Prostitution and commercialized vice ................................... 14,152 12,339 Sex offenses (except forcible rape and prostitution)........... 50,273 48,184 Drug abuse violations ............................................................. 948,491 932,383 Gambling .................................................................................. 3,185 3,041 Offenses against the family and children.............................. 64,434 62,806 Driving under the influence ................................................... 749,832 749,142 Liquor laws ............................................................................... 309,821 305,330 Drunkenness ............................................................................ 334,796 354,052 Disorderly conduct .................................................................. 345,354 340,702 Vagrancy ................................................................................... 17,846 15,660 All other offenses (except traffic) ......................................... 2,018,548 1,984,428 Suspicion................................................................................... 1,153 1,042 Curfew and loitering law violations....................................... 63,825 60,784 Runaways ................................................................................. 31,231 30,922 1
Female
Total
Under 18 Percent change
2006
2007
-0.9 1,033,632 1,009,036 +0.6 735 737 -4.3 2,407 2,364 +1.0 19,175 18,944 -2.4 29,683 28,544 +0.5 49,001 47,827 +4.9 112,067 115,985 -13.0 16,443 14,122 -3.5 4,733 4,463 -1.7 52,000 50,589 +2.0 182,244 182,397 +0.9 108,959 105,906 -6.2 1,535 1,392 -8.9 3,438 3,279 +18.4 537 716 -6.6 12,657 11,854 -2.0 67,899 64,979 -5.4 27,088 25,224 -12.8 204 176 -4.2 9,455 9,076 -1.7 102,450 102,906 -4.5 439 387 -2.5 2,208 2,464 -0.1 9,921 9,207 -1.4 60,530 59,865 +5.8 8,859 9,059 -1.3 93,799 89,134 -12.2 2,426 1,951 -1.7 191,928 186,769 -9.6 233 206 -4.8 63,825 60,784 -1.0 31,231 30,922
Total Percent change
2006
2007
-2.4 2,255,209 2,291,715 +0.3 912 857 -1.8 205 165 -1.2 8,952 9,209 -3.8 60,599 61,272 -2.4 29,817 30,422 +3.5 276,545 318,640 -14.1 14,238 12,685 -5.7 1,857 1,597 -2.7 70,668 71,503 +0.1 322,457 363,344 -2.8 217,595 221,488 -9.3 28,310 25,678 -4.6 89,440 79,958 +33.3 7,448 8,237 -6.3 15,716 15,183 -4.3 33,512 33,572 -6.9 10,293 9,505 -13.7 25,957 26,473 -4.0 3,712 3,579 +0.4 228,684 224,784 -11.8 527 630 +11.6 20,664 20,843 -7.2 190,420 197,974 -1.1 115,879 117,916 +2.3 61,745 68,026 -5.0 127,361 126,251 -19.6 5,518 4,897 -2.7 610,725 606,309 -11.6 304 270 -4.8 27,719 26,442 -1.0 40,859 39,123
Under 18 Percent change +1.6 -6.0 -19.5 +2.9 +1.1 +2.0 +15.2 -10.9 -14.0 +1.2 +12.7 +1.8 -9.3 -10.6 +10.6 -3.4 +0.2 -7.7 +2.0 -3.6 -1.7 +19.5 +0.9 +4.0 +1.8 +10.2 -0.9 -11.3 -0.7 -11.2 -4.6 -4.2
2006
2007
425,837 39 44 1,969 9,045 6,397 77,668 3,469 759 11,097 88,293 55,614 783 1,799 441 2,170 10,453 3,081 585 977 20,767 32 1,420 2,980 34,381 2,989 47,214 1,105 71,078 67 27,719 40,859
426,781 59 47 2,019 8,629 6,575 88,428 3,012 574 10,754 98,589 54,027 661 1,870 510 2,323 10,188 2,746 585 914 20,684 17 1,557 2,906 35,758 3,159 44,821 829 68,318 69 26,442 39,123
Percent change +0.2 +51.3 +6.8 +2.5 -4.6 +2.8 +13.9 -13.2 -24.4 -3.1 +11.7 -2.9 -15.6 +3.9 +15.6 +7.1 -2.5 -10.9 0.0 -6.4 -0.4 -46.9 +9.6 -2.5 +4.0 +5.7 -5.1 -25.0 -3.9 +3.0 -4.6 -4.2
Does not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
CRIME IN THE UNITED STATES (BERNAN PRESS)
334
Table 38. Arrests, Distribution by Age, 2007 (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634) Offense charged
TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1 Because 2 Violent
arson.
Total all ages 10,698,310 100.0 10,082 17,132 96,720 327,137 228,846 897,626 89,022 11,451 451,071 100.0 1,226,945 100.0 983,964 78,005 185,229 17,015
Ages under 15
Ages under 18
Ages 18 and over
461,937 1,649,977 9,048,333 4.3 15.4 84.6 103 1,011 9,071 914 2,633 14,499 5,601 26,324 70,396 13,662 43,459 283,678 18,589 61,695 167,151 71,314 229,837 667,789 4,917 22,266 66,756 3,204 5,427 6,024 20,280 73,427 377,644 4.5 16.3 83.7 98,024 319,225 907,720 8.0 26.0 74.0 70,038 181,378 802,586 294 2,353 75,652 886 5,690 179,539 49 1,288 15,727 16,889 84,744 33,187 1,160
Under 10
10–12
13–14
15
16
17
18
19
20
13,357 0.1 1 8 72 460 631 1,804 33 349 541 0.1 2,817 0.2 2,194 26 56 6
93,571 0.9 6 235 784 3,320 3,939 15,542 512 1,013 4,345 1.0 21,006 1.7 17,638 56 132 12
355,009 3.3 96 671 4,745 9,882 14,019 53,968 4,372 1,842 15,394 3.4 74,201 6.0 50,206 212 698 31
326,311 3.1 131 447 5,353 8,146 12,580 45,808 5,181 926 14,077 3.1 64,495 5.3 35,952 281 867 58
405,753 3.8 294 576 7,229 10,231 14,498 54,513 6,143 720 18,330 4.1 75,874 6.2 39,029 599 1,464 396
455,976 4.3 483 696 8,141 11,420 16,028 58,202 6,025 577 20,740 4.6 80,832 6.6 36,359 1,179 2,473 785
509,517 4.8 736 829 8,590 12,448 17,104 57,221 5,874 517 22,603 5.0 80,716 6.6 32,356 2,538 4,473 1,200
518,623 4.8 687 790 7,236 12,564 13,729 46,250 4,873 420 21,277 4.7 65,272 5.3 32,319 3,476 5,865 1,192
481,599 4.5 593 736 5,620 12,253 11,120 37,423 4,070 312 19,202 4.3 52,925 4.3 32,468 3,393 6,330 1,065
75,326 136,296 109,558 58,230
79 1,668 438 16
667 8,647 2,524 14
3,390 24,027 7,615 117
3,509 16,723 6,251 184
4,366 17,187 7,604 315
4,878 16,492 8,755 514
5,773 13,852 9,517 1,890
5,251 11,560 8,640 2,327
4,481 9,127 7,320 2,238
92,215 221,040 142,745 59,390
4,136 34,342 10,577 147
62,756 1,386,394 9,152
5,574 21,506 226
11,575 51,181 147,382 1,239,012 1,584 7,568
264 273 7
1,525 2,207 12
3,785 19,026 207
2,037 25,053 283
1,983 40,562 428
1,981 60,261 647
2,437 84,597 705
2,331 84,102 664
2,056 76,405 557
88,887 1,055,981 478,671 451,055 540,270 25,631 2,948,031 1,589 109,815 82,459
1,237 398 9,592 1,400 57,602 904 69,448 78 28,949 26,250
4,205 84,682 13,497 1,042,484 106,537 372,134 12,966 438,089 153,293 386,977 2,924 22,707 284,096 2,663,935 303 1,286 109,815 82,459 -
112 196 115 75 1,147 15 2,244 0 456 612
234 16 619 82 13,136 142 12,002 15 4,751 3,789
891 186 8,858 1,243 43,319 747 55,202 63 23,742 21,849
804 537 16,210 2,119 31,964 766 57,709 55 25,435 20,942
1,026 3,169 30,465 3,118 33,452 859 72,163 104 30,467 22,793
1,138 9,393 50,270 6,329 30,275 395 84,776 66 24,964 12,474
1,796 23,954 80,215 12,727 24,582 1,143 102,335 108 -
1,909 33,125 84,253 14,163 21,580 938 118,273 106 -
2,095 37,157 69,117 14,210 19,872 770 120,744 67 -
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
SECTION IV: PERSONS ARRESTED 335 Table 38. Arrests, Distribution by Age, 2007 (Contd.) (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634) Offense charged TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1 Because 2 Violent
arson.
21
22
23
24
25–29
30–34
362,242 1,505,619 1,047,448 3.4 14.1 9.8 456 1,758 940 537 2,311 1,883 3,001 11,175 6,860 11,628 50,759 36,293 6,460 26,124 17,772 23,168 98,117 71,066 2,967 12,091 8,096 184 884 659 15,622 66,003 45,976 3.5 14.6 10.2 32,779 137,216 97,593 2.7 11.2 8.0 32,194 142,955 105,901 3,297 15,085 11,365 6,476 31,504 27,390 625 2,393 1,721
60–64
65 and over
35–39
40–44
45–49
50–54
55–59
972,661 9.1 680 1,780 5,871 32,552 16,918 72,005 7,217 606 40,883 9.1 96,746 7.9 98,265 9,795 25,795 1,653
908,080 8.5 558 1,463 4,865 29,840 15,073 68,379 5,659 569 36,726 8.1 89,680 7.3 88,188 7,708 21,084 1,356
735,287 6.9 432 1,047 3,219 23,163 10,830 53,626 3,440 518 27,861 6.2 68,414 5.6 67,702 5,052 15,204 1,037
424,442 4.0 295 585 1,403 13,291 5,106 30,598 1,471 290 15,574 3.5 37,465 3.1 36,491 2,552 8,838 550
200,498 1.9 175 326 503 6,317 1,855 14,432 551 160 7,321 1.6 16,998 1.4 16,866 1,079 4,327 278
86,194 0.8 77 151 178 2,974 636 6,128 199 86 3,380 0.7 7,049 0.6 7,634 401 2,074 101
64,736 0.6 83 153 104 2,684 334 5,115 124 65 3,024 0.7 5,638 0.5 6,797 229 1,420 55
442,744 4.1 583 766 4,579 12,949 9,217 31,665 3,674 282 18,877 4.2 44,838 3.7 34,893 3,204 6,217 944
410,646 3.8 545 590 3,881 12,208 7,870 27,813 3,409 248 17,224 3.8 39,340 3.2 34,615 3,182 6,325 875
377,997 3.5 473 552 3,311 11,755 7,003 24,783 3,041 224 16,091 3.6 35,051 2.9 32,942 3,296 6,217 682
3,929 8,739 7,085 2,309
3,599 7,606 6,514 2,178
3,270 6,486 5,610 2,123
3,093 6,026 5,279 1,955
13,060 22,524 20,033 9,108
9,157 13,942 11,322 7,880
8,076 11,605 8,482 8,597
6,909 10,071 7,015 7,906
4,785 7,568 5,603 5,202
2,357 3,890 3,471 2,528
929 1,815 1,911 1,062
390 774 929 462
267 711 827 465
1,980 69,504 447
1,817 63,115 415
1,614 57,285 332
1,593 54,075 309
6,935 217,485 1,071
5,618 136,643 625
6,033 119,766 489
5,821 110,704 479
4,903 88,743 429
3,270 47,922 329
2,024 19,260 297
1,313 6,390 202
1,436 3,016 218
2,405 53,215 12,190 21,096 24,730 800 125,274 68 -
2,430 52,475 8,635 19,512 21,372 589 118,755 73 -
2,619 50,092 6,551 17,445 18,595 575 111,059 62 -
2,963 48,405 5,676 16,640 16,960 557 107,666 52 -
15,258 190,447 20,861 65,982 63,268 2,450 461,776 205 -
14,098 126,294 14,151 46,290 39,713 2,071 329,556 142 -
13,837 111,407 14,771 46,682 36,652 2,662 310,342 123 -
11,516 104,808 17,123 52,731 36,016 3,237 288,901 101 -
7,614 91,814 17,226 50,967 30,578 3,206 231,296 83 -
3,701 58,702 11,407 33,497 17,797 2,060 131,986 55 -
1,421 32,610 5,851 15,716 8,519 1,011 61,178 25 -
603 15,920 2,462 6,437 3,753 412 25,502 6 -
417 12,059 1,645 3,994 2,990 226 19,292 10 -
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
336
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 39. Male Arrests, Distribution by Age, 2007 (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634.) Offense charged
TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1.......... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
Total all ages 8,111,026 100.0 9,051 16,946 85,544 257,568 195,550 538,922 73,241 9,645 369,109 100.0 817,358 100.0 735,578 48,220 103,621 8,256
Ages under 15
Ages under 18
Ages 18 and over
319,219 1,164,668 6,946,358 3.9 14.4 85.6 94 935 8,116 886 2,584 14,362 4,966 23,760 61,784 10,356 33,430 224,138 16,354 54,557 140,993 42,067 130,539 408,383 3,981 18,598 54,643 2,841 4,782 4,863 16,302 60,709 308,400 4.4 16.4 83.6 65,243 208,476 608,882 8.0 25.5 74.5 46,909 120,419 615,159 213 1,612 46,608 554 3,667 99,954 31 747 7,509 13,816 73,446 29,953 251
Under 10
10–12
13–14
15
16
17
18
19
20
10,792 0.1 1 8 65 413 555 1,329 30 324 487 0.1 2,238 0.3 1,817 18 35 3
68,901 0.8 6 232 705 2,686 3,463 9,818 415 910 3,629 1.0 14,606 1.8 12,819 38 70 8
239,526 3.0 87 646 4,196 7,257 12,336 30,920 3,536 1,607 12,186 3.3 48,399 5.9 32,273 157 449 20
222,121 2.7 117 440 4,815 6,072 11,048 25,550 4,281 810 11,444 3.1 41,689 5.1 22,927 196 576 43
285,766 3.5 277 569 6,557 7,861 12,914 30,161 5,170 616 15,264 4.1 48,861 6.0 25,672 393 962 229
337,562 4.2 447 689 7,422 9,141 14,241 32,761 5,166 515 17,699 4.8 52,683 6.4 24,911 810 1,575 444
390,495 4.8 689 820 7,830 9,994 15,185 33,404 5,079 459 19,333 5.2 54,127 6.6 23,030 1,630 2,780 601
397,975 4.9 645 783 6,517 10,033 11,917 27,269 4,113 380 17,978 4.9 43,679 5.3 23,318 2,131 3,520 579
371,018 4.6 549 725 5,036 9,642 9,546 21,771 3,394 270 15,952 4.3 34,981 4.3 23,644 2,164 3,754 499
59,613 110,060 101,729 18,689
66 1,472 399 6
499 7,493 2,245 10
2,692 20,647 6,670 21
2,819 14,642 5,593 30
3,634 14,935 6,907 60
4,106 14,257 8,139 124
4,840 11,911 8,985 280
4,258 9,692 8,159 368
3,585 7,640 6,915 454
232 223 4
1,384 1,772 12
3,455 15,174 204
1,809 20,737 278
1,759 34,467 414
1,811 51,828 641
2,151 72,350 675
2,050 71,194 623
1,829 64,608 501
66 153 80 64 923 12 1,746 0 344 404
161 12 306 52 9,158 95 9,082 13 3,359 2,078
524 134 4,457 772 27,290 489 38,664 46 15,484 9,319
459 386 9,105 1,470 20,474 528 40,908 41 17,090 8,877
635 2,325 18,966 2,305 22,653 629 53,210 78 21,537 9,871
764 7,223 33,762 5,014 21,873 319 65,670 53 18,211 5,645
1,283 18,800 55,887 10,375 18,510 935 81,925 87 -
1,302 26,094 60,339 11,703 16,247 757 93,898 86 -
1,405 29,460 50,430 11,912 15,036 591 95,598 60 -
73,429 183,506 131,682 18,940
3,257 29,612 9,314 37
57,213 1,125,138 8,332
5,071 17,169 220
10,450 46,763 124,201 1,000,937 1,553 6,779
66,367 836,671 345,708 378,873 398,203 19,943 2,271,402 1,258 76,025 36,194
751 299 4,843 888 37,371 596 49,492 59 19,187 11,801
2,609 10,233 66,676 9,677 102,371 2,072 209,280 231 76,025 36,194
63,758 826,438 279,032 369,196 295,832 17,871 2,062,122 1,027 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 337 Table 39. Male Arrests, Distribution by Age, 2007 (Contd.) (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634.) Offense charged TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ............. Property crime2 .............................................. Property crime percent distribution1 ........... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
21
22
23
24
25–29
280,082 1,159,633 3.5 14.3 410 1,590 533 2,289 2,603 9,667 9,178 40,354 5,374 21,683 13,566 57,899 2,394 9,684 146 711 12,724 53,900 3.4 14.6 21,480 89,977 2.6 11.0 24,555 110,695 2,063 9,153 3,493 16,829 286 1,097
60–64
65 and over
30–34
35–39
40–44
45–49
50–54
55–59
793,373 9.8 815 1,857 5,835 28,464 14,515 42,613 6,498 516 36,971 10.0 64,142 7.8 82,211 6,798 14,118 797
722,278 8.9 590 1,770 4,982 25,161 13,888 45,116 5,756 458 32,503 8.8 65,218 8.0 75,325 5,718 13,729 767
678,307 8.4 453 1,450 4,137 22,927 12,572 44,641 4,595 435 28,967 7.8 62,243 7.6 67,718 4,607 11,851 670
565,921 7.0 358 1,037 2,775 18,137 9,170 35,574 2,855 395 22,307 6.0 47,994 5.9 53,114 3,244 8,969 496
339,989 4.2 259 583 1,236 10,782 4,330 20,372 1,243 226 12,860 3.5 26,171 3.2 29,260 1,771 5,374 266
165,492 2.0 156 322 441 5,286 1,572 9,410 490 121 6,205 1.7 11,593 1.4 13,753 758 2,747 141
71,613 0.9 72 150 158 2,574 527 3,797 179 70 2,954 0.8 4,573 0.6 6,237 293 1,325 54
53,676 0.7 74 152 92 2,329 266 3,090 108 55 2,647 0.7 3,519 0.4 5,633 169 879 33
344,144 4.2 540 757 4,079 10,319 7,834 18,794 3,004 233 15,695 4.3 29,865 3.7 25,725 1,990 3,475 446
319,136 3.9 494 586 3,459 9,653 6,720 16,394 2,771 201 14,192 3.8 26,086 3.2 25,983 2,036 3,625 443
293,226 3.6 422 548 2,937 9,305 5,894 14,673 2,480 187 13,212 3.6 23,234 2.8 24,958 2,083 3,486 334
3,110 7,217 6,641 540
2,815 6,180 6,141 565
2,536 5,292 5,273 638
2,409 4,871 4,953 637
10,099 18,017 18,612 3,016
7,061 10,928 10,397 2,707
6,247 8,929 7,656 2,599
5,459 7,704 6,268 2,285
3,864 5,929 5,081 1,803
1,963 3,089 3,183 1,224
798 1,443 1,789 739
334 628 880 413
235 590 796 421
1,781 57,973 432
1,626 52,440 394
1,447 47,409 317
1,408 44,439 295
6,252 177,653 1,022
5,134 108,754 567
5,462 90,783 405
5,329 82,104 389
4,535 67,822 334
3,081 38,841 251
1,967 16,319 232
1,291 5,560 164
1,420 2,688 178
1,658 41,342 9,754 17,875 19,285 637 98,652 51 -
1,635 41,030 6,954 16,700 16,794 476 92,957 64 -
1,730 39,720 5,333 14,939 14,585 449 86,199 52 -
2,020 38,776 4,632 14,319 13,102 420 83,156 44 -
10,803 153,903 16,723 56,360 48,730 1,886 354,755 151 -
10,580 102,397 11,260 39,089 29,602 1,517 248,235 108 -
10,637 87,594 11,492 38,059 26,771 1,912 230,377 95 -
9,264 79,618 13,426 42,614 26,638 2,450 218,622 81 -
6,323 70,024 14,194 42,322 23,560 2,597 181,340 69 -
3,116 46,718 9,780 29,196 14,362 1,736 107,702 45 -
1,183 27,102 5,240 14,093 7,083 923 51,363 21 -
487 13,458 2,154 5,905 3,083 377 21,437 6 -
332 10,402 1,434 3,735 2,444 208 15,906 7 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
338
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 40. Female Arrests, Distribution by Age, 2007 (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634.) Offense charged
TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
Total all ages
Ages under 15
Ages under 18
Ages 18 and over
2,587,284 100.0 1,031 186 11,176 69,569 33,296 358,704 15,781 1,806 81,962 100.0 409,587 100.0 248,386 29,785 81,608 8,759
142,718 5.5 9 28 635 3,306 2,235 29,247 936 363 3,978 4.9 32,781 8.0 23,129 81 332 18
485,309 2,101,975 18.8 81.2 76 955 49 137 2,564 8,612 10,029 59,540 7,138 26,158 99,298 259,406 3,668 12,113 645 1,161 12,718 69,244 15.5 84.5 110,749 298,838 27.0 73.0 60,959 187,427 741 29,044 2,023 79,585 541 8,218
18,786 37,534 11,063 40,450
879 4,730 1,263 110
3,073 11,298 3,234 909
5,543 261,256 820
503 4,337 6
22,520 219,310 132,963 72,182 142,067 5,688 676,629 331 33,790 46,265
486 99 4,749 512 20,231 308 19,956 19 9,762 14,449
Under 10
10–12
13–14
15
16
17
18
19
20
2,565 0.1 0 0 7 47 76 475 3 25 54 0.1 579 0.1 377 8 21 3
24,670 1.0 0 3 79 634 476 5,724 97 103 716 0.9 6,400 1.6 4,819 18 62 4
115,483 4.5 9 25 549 2,625 1,683 23,048 836 235 3,208 3.9 25,802 6.3 17,933 55 249 11
104,190 4.0 14 7 538 2,074 1,532 20,258 900 116 2,633 3.2 22,806 5.6 13,025 85 291 15
119,987 4.6 17 7 672 2,370 1,584 24,352 973 104 3,066 3.7 27,013 6.6 13,357 206 502 167
118,414 4.6 36 7 719 2,279 1,787 25,441 859 62 3,041 3.7 28,149 6.9 11,448 369 898 341
119,022 4.6 47 9 760 2,454 1,919 23,817 795 58 3,270 4.0 26,589 6.5 9,326 908 1,693 599
120,648 4.7 42 7 719 2,531 1,812 18,981 760 40 3,299 4.0 21,593 5.3 9,001 1,345 2,345 613
110,581 4.3 44 11 584 2,611 1,574 15,652 676 42 3,250 4.0 17,944 4.4 8,824 1,229 2,576 566
15,713 26,236 7,829 39,541
13 196 39 10
168 1,154 279 4
698 3,380 945 96
690 2,081 658 154
732 2,252 697 255
772 2,235 616 390
933 1,941 532 1,610
993 1,868 481 1,959
896 1,487 405 1,784
1,125 23,181 31
4,418 238,075 789
32 50 3
141 435 0
330 3,852 3
228 4,316 5
224 6,095 14
170 8,433 6
286 12,247 30
281 12,908 41
227 11,797 56
1,596 3,264 39,861 3,289 50,922 852 74,816 72 33,790 46,265
20,924 216,046 93,102 68,893 91,145 4,836 601,813 259 -
46 43 35 11 224 3 498 0 112 208
73 4 313 30 3,978 47 2,920 2 1,392 1,711
367 52 4,401 471 16,029 258 16,538 17 8,258 12,530
345 151 7,105 649 11,490 238 16,801 14 8,345 12,065
391 844 11,499 813 10,799 230 18,953 26 8,930 12,922
374 2,170 16,508 1,315 8,402 76 19,106 13 6,753 6,829
513 5,154 24,328 2,352 6,072 208 20,410 21 -
607 7,031 23,914 2,460 5,333 181 24,375 20 -
690 7,697 18,687 2,298 4,836 179 25,146 7 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 339 Table 40. Female Arrests, Distribution by Age, 2007 (Contd.) (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634.) Offense charged TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
50–54
55–59
60–64
65 and over
21
22
23
24
25–29
30–34
35–39
40–44
45–49
98,600 3.8 43 9 500 2,630 1,383 12,871 670 49 3,182 3.9 14,973 3.7 9,168 1,214 2,742 498
91,510 3.5 51 4 422 2,555 1,150 11,419 638 47 3,032 3.7 13,254 3.2 8,632 1,146 2,700 432
84,771 3.3 51 4 374 2,450 1,109 10,110 561 37 2,879 3.5 11,817 2.9 7,984 1,213 2,731 348
82,160 3.2 46 4 398 2,450 1,086 9,602 573 38 2,898 3.5 11,299 2.8 7,639 1,234 2,983 339
345,986 13.4 168 22 1,508 10,405 4,441 40,218 2,407 173 12,103 14.8 47,239 11.5 32,260 5,932 14,675 1,296
254,075 9.8 125 26 1,025 7,829 3,257 28,453 1,598 143 9,005 11.0 33,451 8.2 23,690 4,567 13,272 924
250,383 9.7 90 10 889 7,391 3,030 26,889 1,461 148 8,380 10.2 31,528 7.7 22,940 4,077 12,066 886
229,773 8.9 105 13 728 6,913 2,501 23,738 1,064 134 7,759 9.5 27,437 6.7 20,470 3,101 9,233 686
169,366 6.5 74 10 444 5,026 1,660 18,052 585 123 5,554 6.8 20,420 5.0 14,588 1,808 6,235 541
84,453 3.3 36 2 167 2,509 776 10,226 228 64 2,714 3.3 11,294 2.8 7,231 781 3,464 284
35,006 1.4 19 4 62 1,031 283 5,022 61 39 1,116 1.4 5,405 1.3 3,113 321 1,580 137
14,581 0.6 5 1 20 400 109 2,331 20 16 426 0.5 2,476 0.6 1,397 108 749 47
11,060 0.4 9 1 12 355 68 2,025 16 10 377 0.5 2,119 0.5 1,164 60 541 22
819 1,522 444 1,769
784 1,426 373 1,613
734 1,194 337 1,485
684 1,155 326 1,318
2,961 4,507 1,421 6,092
2,096 3,014 925 5,173
1,829 2,676 826 5,998
1,450 2,367 747 5,621
921 1,639 522 3,399
394 801 288 1,304
131 372 122 323
56 146 49 49
32 121 31 44
199 11,531 15
191 10,675 21
167 9,876 15
185 9,636 14
683 39,832 49
484 27,889 58
571 28,983 84
492 28,600 90
368 20,921 95
189 9,081 78
57 2,941 65
22 830 38
16 328 40
747 11,873 2,436 3,221 5,445 163 26,622 17 -
795 11,445 1,681 2,812 4,578 113 25,798 9 -
889 10,372 1,218 2,506 4,010 126 24,860 10 -
943 9,629 1,044 2,321 3,858 137 24,510 8 -
4,455 36,544 4,138 9,622 14,538 564 107,021 54 -
3,518 23,897 2,891 7,201 10,111 554 81,321 34 -
3,200 23,813 3,279 8,623 9,881 750 79,965 28 -
2,252 25,190 3,697 10,117 9,378 787 70,279 20 -
1,291 21,790 3,032 8,645 7,018 609 49,956 14 -
585 11,984 1,627 4,301 3,435 324 24,284 10 -
238 5,508 611 1,623 1,436 88 9,815 4 -
116 2,462 308 532 670 35 4,065 0 -
85 1,657 211 259 546 18 3,386 3 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
340
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 41. Arrests of Persons Under 15, 18, 21, and 25 Years of Age, 2007 (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634.) Number of persons arrested Offense charged
Under 15 TOTAL ....................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime1 ........................................................................ Property crime1 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing ................................................................................... Vandalism ................................................................................... Weapons; carrying, possessing, etc. .......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution) ........................................................................ Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children ....................................................................................... Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1 Violent
Percent of total all ages
Total all ages Under 18
Under 21
Under 25
Under 15
Under 18
Under 21
Under 25
10,698,310 10,082 17,132 96,720 327,137 228,846 897,626 89,022 11,451 451,071 1,226,945 983,964 78,005 185,229 17,015
461,937 103 914 5,601 13,662 18,589 71,314 4,917 3,204 20,280 98,024 70,038 294 886 49
1,649,977 1,011 2,633 26,324 43,459 61,695 229,837 22,266 5,427 73,427 319,225 181,378 2,353 5,690 1,288
3,159,716 3,027 4,988 47,770 80,724 103,648 370,731 37,083 6,676 136,509 518,138 278,521 11,760 22,358 4,745
4,753,345 5,084 7,433 62,542 129,264 134,198 478,160 50,174 7,614 204,323 670,146 413,165 24,739 47,593 7,871
4.3 1.0 5.3 5.8 4.2 8.1 7.9 5.5 28.0 4.5 8.0 7.1 0.4 0.5 0.3
15.4 10.0 15.4 27.2 13.3 27.0 25.6 25.0 47.4 16.3 26.0 18.4 3.0 3.1 7.6
29.5 30.0 29.1 49.4 24.7 45.3 41.3 41.7 58.3 30.3 42.2 28.3 15.1 12.1 27.9
44.4 50.4 43.4 64.7 39.5 58.6 53.3 56.4 66.5 45.3 54.6 42.0 31.7 25.7 46.3
92,215 221,040 142,745 59,390
4,136 34,342 10,577 147
16,889 84,744 33,187 1,160
32,394 119,283 58,664 7,615
46,285 148,140 83,152 16,180
4.5 15.5 7.4 0.2
18.3 38.3 23.2 2.0
35.1 54.0 41.1 12.8
50.2 67.0 58.3 27.2
62,756 1,386,394 9,152
5,574 21,506 226
11,575 147,382 1,584
18,399 392,486 3,510
25,403 636,465 5,013
8.9 1.6 2.5
18.4 10.6 17.3
29.3 28.3 38.4
40.5 45.9 54.8
88,887 1,055,981 478,671 451,055 540,270 25,631 2,948,031 1,589 109,815 82,459
1,237 398 9,592 1,400 57,602 904 69,448 78 28,949 26,250
4,205 13,497 106,537 12,966 153,293 2,924 284,096 303 109,815 82,459
10,005 107,733 340,122 54,066 219,327 5,775 625,448 584 109,815 82,459
20,422 311,920 373,174 128,759 300,984 8,296 1,088,202 839 109,815 82,459
1.4 * 2.0 0.3 10.7 3.5 2.4 4.9 26.4 31.8
4.7 1.3 22.3 2.9 28.4 11.4 9.6 19.1 100.0 100.0
11.3 10.2 71.1 12.0 40.6 22.5 21.2 36.8 100.0 100.0
23.0 29.5 78.0 28.5 55.7 32.4 36.9 52.8 100.0 100.0
crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
SECTION IV: PERSONS ARRESTED 341 Table 42. Arrests, Distribution by Sex, 2007 (Number, percent; 11,936 agencies; 2007 estimated population 225,518,634.) Percent distribution1
Number of persons arrested Offense charged Total TOTAL .................................................................................................................. Murder and nonnegligent manslaughter ........................................................... Forcible rape ......................................................................................................... Robbery................................................................................................................. Aggravated assault ............................................................................................... Burglary................................................................................................................. Larceny-theft ........................................................................................................ Motor vehicle theft............................................................................................... Arson ..................................................................................................................... Violent crime2 ................................................................................................... Property crime2 ................................................................................................. Other assaults ....................................................................................................... Forgery and counterfeiting.................................................................................. Fraud...................................................................................................................... Embezzlement ...................................................................................................... Stolen property; buying, receiving, possessing .................................................. Vandalism .............................................................................................................. Weapons; carrying, possessing, etc...................................................................... Prostitution and commercialized vice................................................................ Sex offenses (except forcible rape and prostitution) ....................................... Drug abuse violations .......................................................................................... Gambling............................................................................................................... Offenses against the family and children........................................................... Driving under the influence ................................................................................ Liquor laws............................................................................................................ Drunkenness ......................................................................................................... Disorderly conduct............................................................................................... Vagrancy ................................................................................................................ All other offenses (except traffic) ...................................................................... Suspicion ............................................................................................................... Curfew and loitering law violations ................................................................... Runaways .............................................................................................................. 1 Because 2 Violent
10,698,310 10,082 17,132 96,720 327,137 228,846 897,626 89,022 11,451 451,071 1,226,945 983,964 78,005 185,229 17,015 92,215 221,040 142,745 59,390 62,756 1,386,394 9,152 88,887 1,055,981 478,671 451,055 540,270 25,631 2,948,031 1,589 109,815 82,459
Male 8,111,026 9,051 16,946 85,544 257,568 195,550 538,922 73,241 9,645 369,109 817,358 735,578 48,220 103,621 8,256 73,429 183,506 131,682 18,940 57,213 1,125,138 8,332 66,367 836,671 345,708 378,873 398,203 19,943 2,271,402 1,258 76,025 36,194
Female 2,587,284 1,031 186 11,176 69,569 33,296 358,704 15,781 1,806 81,962 409,587 248,386 29,785 81,608 8,759 18,786 37,534 11,063 40,450 5,543 261,256 820 22,520 219,310 132,963 72,182 142,067 5,688 676,629 331 33,790 46,265
Percent male 75.8 89.8 98.9 88.4 78.7 85.5 60.0 82.3 84.2 81.8 66.6 74.8 61.8 55.9 48.5 79.6 83.0 92.2 31.9 91.2 81.2 91.0 74.7 79.2 72.2 84.0 73.7 77.8 77.0 79.2 69.2 43.9
Percent female 24.2 10.2 1.1 11.6 21.3 14.5 40.0 17.7 15.8 18.2 33.4 25.2 38.2 44.1 51.5 20.4 17.0 7.8 68.1 8.8 18.8 9.0 25.3 20.8 27.8 16.0 26.3 22.2 23.0 20.8 30.8 56.1
Total 100.0 0.1 0.2 0.9 3.1 2.1 8.4 0.8 0.1 4.2 11.5 9.2 0.7 1.7 0.2 0.9 2.1 1.3 0.6 0.6 13.0 0.1 0.8 9.9 4.5 4.2 5.1 0.2 27.6 * 1.0 0.8
Male 100.0 0.1 0.2 1.1 3.2 2.4 6.6 0.9 0.1 4.6 10.1 9.1 0.6 1.3 0.1 0.9 2.3 1.6 0.2 0.7 13.9 0.1 0.8 10.3 4.3 4.7 4.9 0.2 28.0 * 0.9 0.4
Female 100.0 * * 0.4 2.7 1.3 13.9 0.6 0.1 3.2 15.8 9.6 1.2 3.2 0.3 0.7 1.5 0.4 1.6 0.2 10.1 * 0.9 8.5 5.1 2.8 5.5 0.2 26.2 * 1.3 1.8
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
arson. * = Less than one-tenth of 1 percent.
CRIME IN THE UNITED STATES (BERNAN PRESS)
342
Table 43. Arrests, Distribution by Race, 2007 (Number, percent; 11,929 agencies; 2007 estimated population 225,477,173. ) Percent distribution1
Total arrests Offense charged Total
White
Black
TOTAL .............................................. 10,656,710 7,426,278 3,003,060 Murder and nonnegligent manslaughter..................................... 10,067 4,789 5,078 Forcible rape ..................................... 17,058 10,984 5,708 Robbery............................................. 96,584 40,573 54,774 Aggravated assault ........................... 326,277 208,762 109,985 Burglary............................................. 228,346 156,442 68,052 Larceny-theft .................................... 894,215 610,607 261,730 Motor vehicle theft........................... 88,843 55,229 31,765 Arson ................................................. 11,400 8,510 2,666 Violent crime2 ............................... 449,986 265,108 175,545 Property crime2 ............................. 1,222,804 830,788 364,213 Other assaults ................................... 980,512 641,991 316,217 Forgery and counterfeiting.............. 77,757 54,136 22,460 Fraud.................................................. 184,446 127,377 54,575 Embezzlement .................................. 16,954 10,813 5,818 Stolen property; buying, receiving, possessing......................... 91,937 57,870 32,570 Vandalism .......................................... 220,055 166,201 48,642 Weapons; carrying, possessing, etc. .................................. 142,369 82,311 57,745 Prostitution and commercialized vice ......................... 59,307 34,190 23,251 Sex offenses (except forcible rape and prostitution) ...................... 62,586 45,961 15,372 Drug abuse violations ...................... 1,382,783 880,742 485,054 Gambling........................................... 9,141 2,199 6,805 Offenses against the family and children ...................................... 88,437 60,124 26,090 Driving under the influence ............ 1,050,803 929,453 97,472 Liquor laws........................................ 474,726 406,221 49,434 Drunkenness ..................................... 449,117 375,440 62,278 Disorderly conduct........................... 537,809 342,169 183,810 Vagrancy ............................................ 25,584 15,493 9,474 All other offenses (except traffic) .................................. 2,936,233 1,969,862 905,656 Suspicion ........................................... 1,571 904 649 Curfew and loitering law violations ........................................... 109,575 69,950 37,532 Runaways .......................................... 82,218 56,975 22,398 1 Because 2 Violent
arson.
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
American Asian Indian or or Alaskan Pacific Native Islander
142,969
84,403
100.0
69.7
28.2
1.3
0.8 1,642,530 1,100,427
505,464
20,504
16,135
99 213 602 4,374 2,191 11,885 1,041 119 5,288 15,236 14,028 414 1,369 95
101 153 635 3,156 1,661 9,993 808 105 4,045 12,567 8,276 747 1,125 228
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
47.6 64.4 42.0 64.0 68.5 68.3 62.2 74.6 58.9 67.9 65.5 69.6 69.1 63.8
50.4 33.5 56.7 33.7 29.8 29.3 35.8 23.4 39.0 29.8 32.3 28.9 29.6 34.3
1.0 1.2 0.6 1.3 1.0 1.3 1.2 1.0 1.2 1.2 1.4 0.5 0.7 0.6
1.0 0.9 0.7 1.0 0.7 1.1 0.9 0.9 0.9 1.0 0.8 1.0 0.6 1.3
1,011 2,617 26,291 43,322 61,523 228,699 22,227 5,397 73,241 317,846 180,615 2,341 5,649 1,287
407 1,610 8,119 24,674 40,236 152,143 12,191 4,123 34,810 208,693 106,119 1,699 3,601 753
580 966 17,832 17,773 20,176 70,212 9,426 1,148 37,151 100,962 71,409 596 1,916 498
15 24 122 470 605 2,966 339 49 631 3,959 1,857 21 77 10
9 17 218 405 506 3,378 271 77 649 4,232 1,230 25 55 26
735 3,340
762 1,872
100.0 100.0
62.9 75.5
35.4 22.1
0.8 1.5
0.8 0.9
16,809 84,298
9,203 66,406
7,302 16,058
127 1,062
177 772
1,061
1,252
100.0
57.8
40.6
0.7
0.9
33,040
19,992
12,412
250
386
550
1,316
100.0
57.6
39.2
0.9
2.2
1,156
473
670
9
4
633 8,872 20
620 8,115 117
100.0 100.0 100.0
73.4 63.7 24.1
24.6 35.1 74.4
1.0 0.6 0.2
1.0 0.6 1.3
11,526 146,785 1,584
8,139 101,152 67
3,239 43,343 1,511
77 1,295 1
71 995 5
1,686 14,251 14,422 8,891 8,376 501
537 9,627 4,649 2,508 3,454 116
100.0 100.0 100.0 100.0 100.0 100.0
68.0 88.5 85.6 83.6 63.6 60.6
29.5 9.3 10.4 13.9 34.2 37.0
1.9 1.4 3.0 2.0 1.6 2.0
0.6 0.9 1.0 0.6 0.6 0.5
4,161 13,420 105,799 12,909 152,817 2,923
3,029 12,498 96,286 11,532 87,683 2,267
1,047 589 5,466 997 62,490 625
60 238 2,965 277 1,602 19
25 95 1,082 103 1,042 12
40,546 4
20,169 14
100.0 100.0
67.1 57.5
30.8 41.3
1.4 0.3
0.7 0.9
282,244 287
198,916 184
77,153 100
3,313 3
2,862 0
964 1,687
1,129 1,158
100.0 100.0
63.8 69.3
34.3 27.2
0.9 2.1
1.0 1.4
109,575 82,218
69,950 56,975
37,532 22,398
964 1,687
1,129 1,158
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
SECTION IV: PERSONS ARRESTED 343 Table 43. Arrests, Distribution by Race, 2007 (Contd.) (Number, percent; 11,929 agencies; 2007 estimated population 225,477,173. ) Percent distribution1 Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ............................... Property crime2 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
White
Black
Percent distribution1
Arrests 18 and over
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
100.0
67.0
30.8
1.2
1.0 9,014,180 6,325,851 2,497,596
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
40.3 61.5 30.9 57.0 65.4 66.5 54.8 76.4 47.5 65.7 58.8 72.6 63.7 58.5
57.4 36.9 67.8 41.0 32.8 30.7 42.4 21.3 50.7 31.8 39.5 25.5 33.9 38.7
1.5 0.9 0.5 1.1 1.0 1.3 1.5 0.9 0.9 1.2 1.0 0.9 1.4 0.8
0.9 0.6 0.8 0.9 0.8 1.5 1.2 1.4 0.9 1.3 0.7 1.1 1.0 2.0
9,056 14,441 70,293 282,955 166,823 665,516 66,616 6,003 376,745 904,958 799,897 75,416 178,797 15,667
4,382 9,374 32,454 184,088 116,206 458,464 43,038 4,387 230,298 622,095 535,872 52,437 123,776 10,060
100.0 100.0
54.8 78.8
43.4 19.0
0.8 1.3
1.1 0.9
75,128 135,757
100.0
60.5
37.6
0.8
1.2
100.0
40.9
58.0
0.8
0.3
100.0 100.0 100.0
70.6 68.9 4.2
28.1 29.5 95.4
100.0 100.0 100.0 100.0 100.0 100.0
72.8 93.1 91.0 89.3 57.4 77.6
100.0 100.0 100.0 100.0
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
122,465
68,268
100.0
70.2
27.7
1.4
0.8
4,498 4,742 36,942 92,212 47,876 191,518 22,339 1,518 138,394 263,251 244,808 21,864 52,659 5,320
84 189 480 3,904 1,586 8,919 702 70 4,657 11,277 12,171 393 1,292 85
92 136 417 2,751 1,155 6,615 537 28 3,396 8,335 7,046 722 1,070 202
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
48.4 64.9 46.2 65.1 69.7 68.9 64.6 73.1 61.1 68.7 67.0 69.5 69.2 64.2
49.7 32.8 52.6 32.6 28.7 28.8 33.5 25.3 36.7 29.1 30.6 29.0 29.5 34.0
0.9 1.3 0.7 1.4 1.0 1.3 1.1 1.2 1.2 1.2 1.5 0.5 0.7 0.5
1.0 0.9 0.6 1.0 0.7 1.0 0.8 0.5 0.9 0.9 0.9 1.0 0.6 1.3
48,667 99,795
25,268 32,584
608 2,278
585 1,100
100.0 100.0
64.8 73.5
33.6 24.0
0.8 1.7
0.8 0.8
109,329
62,319
45,333
811
866
100.0
57.0
41.5
0.7
0.8
58,151
33,717
22,581
541
1,312
100.0
58.0
38.8
0.9
2.3
0.7 0.9 0.1
0.6 51,060 0.7 1,235,998 0.3 7,557
37,822 779,590 2,132
12,133 441,711 5,294
556 7,577 19
549 7,120 112
100.0 100.0 100.0
74.1 63.1 28.2
23.8 35.7 70.1
1.1 0.6 0.3
1.1 0.6 1.5
25.2 4.4 5.2 7.7 40.9 21.4
1.4 1.8 2.8 2.1 1.0 0.7
0.6 84,276 0.7 1,037,383 1.0 368,927 0.8 436,208 0.7 384,992 0.4 22,661
57,095 916,955 309,935 363,908 254,486 13,226
25,043 96,883 43,968 61,281 121,320 8,849
1,626 14,013 11,457 8,614 6,774 482
512 9,532 3,567 2,405 2,412 104
100.0 100.0 100.0 100.0 100.0 100.0
67.7 88.4 84.0 83.4 66.1 58.4
29.7 9.3 11.9 14.0 31.5 39.0
1.9 1.4 3.1 2.0 1.8 2.1
0.6 0.9 1.0 0.6 0.6 0.5
70.5 64.1
27.3 34.8
1.2 1.0
1.0 2,653,989 1,770,946 0.0 1,284 720
828,503 549
37,233 1
17,307 14
100.0 100.0
66.7 56.1
31.2 42.8
1.4 0.1
0.7 1.1
63.8 69.3
34.3 27.2
0.9 2.1
1.0 1.4
-
-
-
-
-
-
-
-
-
-
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
CRIME IN THE UNITED STATES (BERNAN PRESS)
344
Table 44. City Arrest Trends, 2006–2007 (Number, percent change; 7,657 agencies; 2007 estimated population 136,244,857; 2006 estimated population 135,060,129.) Number of persons arrested Total all ages
Offense charged
TOTAL1 ..................................................................................... Murder and nonnegligent manslaughter................................ Forcible rape.............................................................................. Robbery ..................................................................................... Aggravated assault.................................................................... Burglary ..................................................................................... Larceny-theft ............................................................................. Motor vehicle theft ................................................................... Arson .......................................................................................... Violent crime2 ........................................................................ Property crime2 ..................................................................... Other assaults ............................................................................ Forgery and counterfeiting ...................................................... Fraud........................................................................................... Embezzlement........................................................................... Stolen property; buying, receiving, possessing....................... Vandalism................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice..................................... Sex offenses (except forcible rape and prostitution) ............ Drug abuse violations............................................................... Gambling.................................................................................... Offenses against the family and children ............................... Driving under the influence..................................................... Liquor laws ................................................................................ Drunkenness.............................................................................. Disorderly conduct ................................................................... Vagrancy..................................................................................... All other offenses (except traffic)........................................... Suspicion .................................................................................... Curfew and loitering law violations ........................................ Runaways................................................................................... 1 Does
2007
6,971,309 5,912 11,252 67,058 219,287 148,496 608,751 60,054 8,116 303,509 825,417 640,884 53,569 107,751 10,886 63,909 157,126 100,728 37,600 38,120 886,552 2,642 38,976 589,899 340,168 339,278 409,844 20,531 1,861,384 796 87,488 55,048
6,991,506 6,023 10,879 68,278 215,825 151,382 668,752 53,254 7,618 301,005 881,006 650,832 49,896 99,086 12,637 60,120 155,737 94,540 36,583 35,825 877,266 2,676 37,097 600,193 339,594 362,431 403,383 18,178 1,837,330 782 82,987 53,104
+0.3 +1.9 -3.3 +1.8 -1.6 +1.9 +9.9 -11.3 -6.1 -0.8 +6.7 +1.6 -6.9 -8.0 +16.1 -5.9 -0.9 -6.1 -2.7 -6.0 -1.0 +1.3 -4.8 +1.7 -0.2 +6.8 -1.6 -11.5 -1.3 -1.8 -5.1 -3.5
2006
2007
1,199,377 626 1,764 18,695 30,746 41,824 164,204 15,771 4,332 51,831 226,131 126,972 1,821 4,167 783 12,462 63,700 25,162 734 7,453 98,790 423 2,552 8,625 72,553 10,281 123,555 3,257 215,589 183 87,488 55,048
1,183,685 647 1,741 18,516 29,415 41,992 177,979 13,652 4,009 50,319 237,632 122,915 1,628 4,089 1,027 12,075 61,798 23,273 708 7,043 99,763 369 2,743 8,226 74,012 10,643 116,810 2,465 210,056 190 82,987 53,104
18 years of age and over Percent change -1.3 +3.4 -1.3 -1.0 -4.3 +0.4 +8.4 -13.4 -7.5 -2.9 +5.1 -3.2 -10.6 -1.9 +31.2 -3.1 -3.0 -7.5 -3.5 -5.5 +1.0 -12.8 +7.5 -4.6 +2.0 +3.5 -5.5 -24.3 -2.6 +3.8 -5.1 -3.5
2006
2007
5,771,932 5,286 9,488 48,363 188,541 106,672 444,547 44,283 3,784 251,678 599,286 513,912 51,748 103,584 10,103 51,447 93,426 75,566 36,866 30,667 787,762 2,219 36,424 581,274 267,615 328,997 286,289 17,274 1,645,795 613 -
5,807,821 5,376 9,138 49,762 186,410 109,390 490,773 39,602 3,609 250,686 643,374 527,917 48,268 94,997 11,610 48,045 93,939 71,267 35,875 28,782 777,503 2,307 34,354 591,967 265,582 351,788 286,573 15,713 1,627,274 592 -
Percent change +0.6 +1.7 -3.7 +2.9 -1.1 +2.5 +10.4 -10.6 -4.6 -0.4 +7.4 +2.7 -6.7 -8.3 +14.9 -6.6 +0.5 -5.7 -2.7 -6.1 -1.3 +4.0 -5.7 +1.8 -0.8 +6.9 +0.1 -9.0 -1.1 -3.4 -
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson.
2006
Under 18 years of age Percent change
SECTION IV: PERSONS ARRESTED 345 Table 45. City Arrest Trends, by Age and Sex, 2006–2007 (Number, percent change; 7,657 agencies; 2007 estimated population 136,244,857; 2006 estimated population 135,060,129 Male Offense charged 2006
2007
TOTAL1 .................................................................................... 5,267,999 5,246,878 Murder and nonnegligent manslaughter .............................. 5,304 5,426 Forcible rape ............................................................................ 11,124 10,777 Robbery .................................................................................... 59,322 60,266 Aggravated assault .................................................................. 172,403 168,308 Burglary .................................................................................... 125,848 127,740 Larceny-theft............................................................................ 371,363 392,304 Motor vehicle theft .................................................................. 49,379 43,491 Arson......................................................................................... 6,729 6,460 Violent crime2 ...................................................................... 248,153 244,777 Property crime2 .................................................................... 553,319 569,995 Other assaults........................................................................... 477,648 483,745 Forgery and counterfeiting ..................................................... 32,269 30,455 Fraud ......................................................................................... 61,383 56,908 Embezzlement.......................................................................... 5,066 6,116 Stolen property; buying, receiving, possessing...................... 51,671 48,135 Vandalism ................................................................................. 130,470 128,838 Weapons; carrying, possessing, etc. ........................................ 92,534 87,031 Prostitution and commercialized vice ................................... 12,972 11,363 Sex offenses (except forcible rape and prostitution)........... 35,301 33,175 Drug abuse violations ............................................................. 716,814 709,756 Gambling .................................................................................. 2,323 2,244 Offenses against the family and children.............................. 26,062 24,303 Driving under the influence ................................................... 465,504 470,060 Liquor laws ............................................................................... 247,978 245,365 Drunkenness ............................................................................ 287,131 304,984 Disorderly conduct .................................................................. 298,781 293,872 Vagrancy ................................................................................... 15,845 13,934 All other offenses (except traffic) ......................................... 1,422,134 1,400,620 Suspicion................................................................................... 628 634 Curfew and loitering law violations....................................... 61,137 58,032 Runaways ................................................................................. 23,504 23,170 1 Does
Under 18 Percent change -0.4 +2.3 -3.1 +1.6 -2.4 +1.5 +5.6 -11.9 -4.0 -1.4 +3.0 +1.3 -5.6 -7.3 +20.7 -6.8 -1.3 -5.9 -12.4 -6.0 -1.0 -3.4 -6.7 +1.0 -1.1 +6.2 -1.6 -12.1 -1.5 +1.0 -5.1 -1.4
2006
2007
846,012 600 1,734 16,925 23,447 36,691 95,203 13,033 3,725 42,706 148,652 83,841 1,198 2,726 415 10,642 55,244 22,697 174 6,726 82,590 395 1,488 6,593 46,412 7,687 81,737 2,214 157,234 144 61,137 23,504
828,251 604 1,713 16,707 22,430 36,600 99,044 11,288 3,556 41,454 150,488 80,905 1,090 2,595 588 10,061 53,498 21,017 152 6,331 83,501 354 1,582 6,217 46,469 7,907 77,440 1,735 153,665 147 58,032 23,170
Total Percent change
2006
2007
-2.1 1,703,310 1,744,628 +0.7 608 597 -1.2 128 102 -1.3 7,736 8,012 -4.3 46,884 47,517 -0.2 22,648 23,642 +4.0 237,388 276,448 -13.4 10,675 9,763 -4.5 1,387 1,158 -2.9 55,356 56,228 +1.2 272,098 311,011 -3.5 163,236 167,087 -9.0 21,300 19,441 -4.8 46,368 42,178 +41.7 5,820 6,521 -5.5 12,238 11,985 -3.2 26,656 26,899 -7.4 8,194 7,509 -12.6 24,628 25,220 -5.9 2,819 2,650 +1.1 169,738 167,510 -10.4 319 432 +6.3 12,914 12,794 -5.7 124,395 130,133 +0.1 92,190 94,229 +2.9 52,147 57,447 -5.3 111,063 109,511 -21.6 4,686 4,244 -2.3 439,250 436,710 +2.1 168 148 -5.1 26,351 24,955 -1.4 31,544 29,934
Under 18 Percent change +2.4 -1.8 -20.3 +3.6 +1.4 +4.4 +16.5 -8.5 -16.5 +1.6 +14.3 +2.4 -8.7 -9.0 +12.0 -2.1 +0.9 -8.4 +2.4 -6.0 -1.3 +35.4 -0.9 +4.6 +2.2 +10.2 -1.4 -9.4 -0.6 -11.9 -5.3 -5.1
2006
2007
353,365 26 30 1,770 7,299 5,133 69,001 2,738 607 9,125 77,479 43,131 623 1,441 368 1,820 8,456 2,465 560 727 16,200 28 1,064 2,032 26,141 2,594 41,818 1,043 58,355 39 26,351 31,544
355,434 43 28 1,809 6,985 5,392 78,935 2,364 453 8,865 87,144 42,010 538 1,494 439 2,014 8,300 2,256 556 712 16,262 15 1,161 2,009 27,543 2,736 39,370 730 56,391 43 24,955 29,934
Percent change +0.6 +65.4 -6.7 +2.2 -4.3 +5.0 +14.4 -13.7 -25.4 -2.8 +12.5 -2.6 -13.6 +3.7 +19.3 +10.7 -1.8 -8.5 -0.7 -2.1 +0.4 -46.4 +9.1 -1.1 +5.4 +5.5 -5.9 -30.0 -3.4 +10.3 -5.3 -5.1
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson.
Female
Total
346
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 46. City Arrests, Distribution by Age, 2007 (Number, percent; 8,693 agencies; 2007 estimated population 157,420,952.) Offense charged
TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
Total all ages 8,166,688 100.0 7,518 12,645 83,356 251,311 171,476 761,461 70,482 8,414 354,830 100.0 1,011,833 100.0 751,839 60,078 105,543 13,465
Ages under 15
Ages under 18
Ages 18 and over
389,287 1,369,024 6,797,664 4.8 16.8 83.2 84 827 6,691 690 1,961 10,684 5,025 23,325 60,031 11,071 34,901 216,410 14,885 47,772 123,704 62,937 200,449 561,012 4,088 18,274 52,208 2,623 4,359 4,055 16,870 61,014 293,816 4.8 17.2 82.8 84,533 270,854 740,979 8.4 26.8 73.2 54,928 140,474 611,365 212 1,870 58,208 723 4,524 101,019 37 1,085 12,380
Under 10
10–12
13–14
15
16
17
18
19
20
10,497 0.1 1 7 67 350 476 1,582 21 290 425 0.1 2,369 0.2 1,630 20 41 6
78,530 1.0 3 181 704 2,679 3,148 13,839 414 821 3,567 1.0 18,222 1.8 13,839 36 110 8
300,260 3.7 80 502 4,254 8,042 11,261 47,516 3,653 1,512 12,878 3.6 63,942 6.3 39,459 156 572 23
274,246 3.4 105 334 4,760 6,632 9,901 40,013 4,272 745 11,831 3.3 54,931 5.4 27,909 225 690 45
336,034 4.1 235 428 6,443 8,183 11,148 47,437 5,040 559 15,289 4.3 64,184 6.3 29,846 500 1,163 335
369,457 4.5 403 509 7,097 9,015 11,838 50,062 4,874 432 17,024 4.8 67,206 6.6 27,791 933 1,948 668
401,316 4.9 576 603 7,192 9,634 12,351 48,750 4,729 346 18,005 5.1 66,176 6.5 24,958 2,000 3,271 999
405,761 5.0 550 582 6,146 9,776 9,851 39,337 3,910 272 17,054 4.8 53,370 5.3 25,476 2,739 4,031 999
372,710 4.6 468 528 4,767 9,524 7,843 31,614 3,203 191 15,287 4.3 42,851 4.2 25,597 2,693 4,202 861
71,493 177,716 114,494 56,745
3,627 28,930 8,440 137
14,340 70,064 27,336 1,092
57,153 107,652 87,158 55,653
71 1,346 279 16
592 7,257 1,923 13
2,964 20,327 6,238 108
3,025 13,885 5,163 173
3,692 14,034 6,418 295
3,996 13,215 7,315 487
4,548 11,038 7,948 1,816
4,141 9,223 7,198 2,234
3,467 7,253 6,074 2,146
45,134 1,073,890 8,249
3,958 17,911 218
8,173 120,708 1,548
36,961 953,182 6,701
157 175 6
1,068 1,814 12
2,733 15,922 200
1,462 21,066 276
1,413 33,565 415
1,340 48,166 639
1,709 66,373 680
1,670 65,398 639
1,443 58,582 528
40,471 676,504 387,504 392,586 467,398 22,932 2,163,947 899 105,534 63,604
832 224 7,849 1,234 50,584 843 58,358 52 27,970 20,817
2,857 9,179 83,268 11,399 133,198 2,580 234,105 218 105,534 63,604
37,614 667,325 304,236 381,187 334,200 20,352 1,929,842 681 -
60 69 97 69 903 13 1,821 0 440 484
163 12 503 71 11,540 138 9,956 11 4,620 3,055
609 143 7,249 1,094 38,141 692 46,581 41 22,910 17,278
564 391 12,936 1,867 27,777 697 48,685 38 24,517 16,093
685 2,156 23,734 2,735 28,711 751 59,508 80 29,197 17,328
776 6,408 38,749 5,563 26,126 289 67,554 48 23,850 9,366
1,140 16,125 63,707 10,729 21,327 1,040 77,682 45 -
1,245 21,936 68,007 12,016 19,033 830 88,479 43 -
1,351 24,643 56,186 12,081 17,627 671 89,128 39 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 347 Table 46. City Arrests, Distribution by Age, 2007 (Contd.) (Number, percent; 8,693 agencies; 2007 estimated population 157,420,952.) Offense charged TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children ............................................................... Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
21
22
23
24
25–29
272,696 1,121,366 3.3 13.7 326 1,332 401 1,749 2,529 9,515 9,088 39,284 4,688 19,068 19,271 81,563 2,357 9,402 141 586 12,344 51,880 3.5 14.6 26,457 110,619 2.6 10.9 25,442 111,497 2,556 11,668 3,812 17,805 519 1,926
60–64
65 and over
30–34
35–39
40–44
45–49
50–54
55–59
768,297 9.4 688 1,415 5,848 27,830 13,196 58,953 6,267 442 35,781 10.1 78,858 7.8 80,643 8,714 14,717 1,337
713,035 8.7 479 1,302 5,090 24,534 12,829 60,135 5,605 423 31,405 8.9 78,992 7.8 73,043 7,404 13,539 1,225
671,484 8.2 378 1,056 4,261 22,343 11,636 57,111 4,382 357 28,038 7.9 73,486 7.3 64,940 5,776 11,334 1,006
550,292 6.7 283 771 2,772 17,091 8,556 45,701 2,612 361 20,917 5.9 57,230 5.7 49,889 3,865 8,068 697
320,861 3.9 192 434 1,267 9,801 4,080 26,374 1,096 190 11,694 3.3 31,740 3.1 26,749 1,958 4,676 429
150,417 1.8 110 220 423 4,598 1,430 12,410 408 107 5,351 1.5 14,355 1.4 12,173 801 2,209 202
63,256 0.8 38 100 157 2,117 471 5,166 130 60 2,412 0.7 5,827 0.6 5,209 304 1,038 72
46,770 0.6 47 97 91 1,858 247 4,334 82 47 2,093 0.6 4,710 0.5 4,570 158 671 35
340,294 4.2 461 574 3,871 10,226 6,663 26,457 2,941 197 15,132 4.3 36,258 3.6 27,633 2,493 3,956 782
313,154 3.8 400 443 3,306 9,487 5,758 23,192 2,675 174 13,636 3.8 31,799 3.1 27,530 2,486 3,951 733
285,955 3.5 363 409 2,796 9,219 5,037 20,644 2,409 161 12,787 3.6 28,251 2.8 26,016 2,593 3,739 558
3,025 7,061 5,836 2,204
2,758 6,104 5,327 2,087
2,490 5,253 4,566 2,029
2,370 4,857 4,298 1,867
9,776 17,953 16,125 8,690
6,840 10,922 8,859 7,580
6,099 8,960 6,474 8,229
5,158 7,781 5,265 7,553
3,568 5,845 4,098 4,957
1,755 2,988 2,509 2,409
688 1,366 1,345 992
288 556 662 431
182 492 574 429
1,434 53,241 425
1,335 48,182 389
1,155 43,618 317
1,183 41,163 288
5,011 165,674 968
4,109 104,203 518
4,327 92,446 382
4,258 85,752 377
3,590 68,873 334
2,418 37,343 265
1,462 15,068 235
883 4,933 170
974 2,333 186
1,461 35,356 10,059 18,495 22,019 677 92,705 42 -
1,396 34,619 7,085 17,011 18,954 499 87,235 38 -
1,463 32,561 5,394 15,154 16,378 486 81,111 36 -
1,580 31,557 4,626 14,572 14,875 487 77,816 27 -
7,153 123,392 17,082 57,233 55,059 2,085 329,659 111 -
5,786 80,959 11,524 40,143 33,995 1,839 230,886 84 -
5,332 70,424 12,306 40,495 31,020 2,385 218,482 66 -
4,257 65,257 14,567 45,997 30,274 2,929 207,424 55 -
2,888 56,922 14,998 44,671 25,864 2,959 170,015 44 -
1,476 36,419 10,057 29,577 15,097 1,916 99,358 28 -
580 19,996 5,139 13,780 7,199 942 46,518 16 -
262 9,759 2,096 5,724 3,104 396 19,126 4 -
244 7,400 1,403 3,509 2,375 211 14,218 3 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
348
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 47. City Arrests of Persons Under 15, 18, 21, and 25 Years of Age, 2007 (Number, percent; 8,693 agencies; 2007 estimated population 157,420,952.) Number of persons arrested Offense charged
Under 15 TOTAL ....................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime1 ........................................................................ Property crime1 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. .......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1 Violent
Percent of total all ages
Total all ages 8,166,688 7,518 12,645 83,356 251,311 171,476 761,461 70,482 8,414 354,830 1,011,833 751,839 60,078 105,543 13,465 71,493 177,716 114,494 56,745 45,134 1,073,890 8,249 40,471 676,504 387,504 392,586 467,398 22,932 2,163,947 899 105,534 63,604
389,287 84 690 5,025 11,071 14,885 62,937 4,088 2,623 16,870 84,533 54,928 212 723 37 3,627 28,930 8,440 137 3,958 17,911 218 832 224 7,849 1,234 50,584 843 58,358 52 27,970 20,817
Under 18 1,369,024 827 1,961 23,325 34,901 47,772 200,449 18,274 4,359 61,014 270,854 140,474 1,870 4,524 1,085 14,340 70,064 27,336 1,092 8,173 120,708 1,548 2,857 9,179 83,268 11,399 133,198 2,580 234,105 218 105,534 63,604
Under 21 2,548,811 2,421 3,674 41,430 63,835 77,817 320,150 30,116 5,168 111,360 433,251 216,505 9,302 16,028 3,944 26,496 97,578 48,556 7,288 12,995 311,061 3,395 6,593 71,883 271,168 46,225 191,185 5,121 489,394 345 105,534 63,604
Under 25 3,760,910 3,971 5,501 53,932 101,855 99,963 409,714 40,498 5,841 165,259 556,016 323,126 19,430 31,486 6,536 37,139 120,853 68,583 15,475 18,102 497,265 4,814 12,493 205,976 298,332 111,457 263,411 7,270 828,261 488 105,534 63,604
Under 15 4.8 1.1 5.5 6.0 4.4 8.7 8.3 5.8 31.2 4.8 8.4 7.3 0.4 0.7 0.3 5.1 16.3 7.4 0.2 8.8 1.7 2.6 2.1 * 2.0 0.3 10.8 3.7 2.7 5.8 26.5 32.7
Under 18 16.8 11.0 15.5 28.0 13.9 27.9 26.3 25.9 51.8 17.2 26.8 18.7 3.1 4.3 8.1 20.1 39.4 23.9 1.9 18.1 11.2 18.8 7.1 1.4 21.5 2.9 28.5 11.3 10.8 24.2 100.0 100.0
Under 21 31.2 32.2 29.1 49.7 25.4 45.4 42.0 42.7 61.4 31.4 42.8 28.8 15.5 15.2 29.3 37.1 54.9 42.4 12.8 28.8 29.0 41.2 16.3 10.6 70.0 11.8 40.9 22.3 22.6 38.4 100.0 100.0
Under 25 46.1 52.8 43.5 64.7 40.5 58.3 53.8 57.5 69.4 46.6 55.0 43.0 32.3 29.8 48.5 51.9 68.0 59.9 27.3 40.1 46.3 58.4 30.9 30.4 77.0 28.4 56.4 31.7 38.3 54.3 100.0 100.0
crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
SECTION IV: PERSONS ARRESTED 349 Table 48. City Arrests, Distribution by Sex, 2007 (Number, percent; 8,693 agencies; 2007 estimated population 157,420,952.) Percent distribution1
Number of persons arrested Offense charged
TOTAL .................................................................................................................. Murder and nonnegligent manslaughter ........................................................... Forcible rape ......................................................................................................... Robbery................................................................................................................. Aggravated assault ............................................................................................... Burglary................................................................................................................. Larceny-theft ........................................................................................................ Motor vehicle theft............................................................................................... Arson ..................................................................................................................... Violent crime2 ................................................................................................... Property crime2 ................................................................................................. Other assaults ....................................................................................................... Forgery and counterfeiting.................................................................................. Fraud...................................................................................................................... Embezzlement ...................................................................................................... Stolen property; buying, receiving, possessing .................................................. Vandalism .............................................................................................................. Weapons; carrying, possessing, etc...................................................................... Prostitution and commercialized vice................................................................ Sex offenses (except forcible rape and prostitution) ....................................... Drug abuse violations .......................................................................................... Gambling............................................................................................................... Offenses against the family and children........................................................... Driving under the influence ................................................................................ Liquor laws............................................................................................................ Drunkenness ......................................................................................................... Disorderly conduct............................................................................................... Vagrancy ................................................................................................................ All other offenses (except traffic) ...................................................................... Suspicion ............................................................................................................... Curfew and loitering law violations ................................................................... Runaways .............................................................................................................. 1 Because 2 Violent
Total
Male
8,166,688 7,518 12,645 83,356 251,311 171,476 761,461 70,482 8,414 354,830 1,011,833 751,839 60,078 105,543 13,465 71,493 177,716 114,494 56,745 45,134 1,073,890 8,249 40,471 676,504 387,504 392,586 467,398 22,932 2,163,947 899 105,534 63,604
6,163,595 6,786 12,528 73,615 196,377 145,607 449,564 57,982 7,091 289,306 660,244 561,610 37,288 61,978 6,572 56,366 147,405 105,757 17,854 40,618 875,418 7,622 26,422 531,656 280,673 330,698 344,828 17,965 1,661,792 734 73,222 27,567
Female 2,003,093 732 117 9,741 54,934 25,869 311,897 12,500 1,323 65,524 351,589 190,229 22,790 43,565 6,893 15,127 30,311 8,737 38,891 4,516 198,472 627 14,049 144,848 106,831 61,888 122,570 4,967 502,155 165 32,312 36,037
Percent male 75.5 90.3 99.1 88.3 78.1 84.9 59.0 82.3 84.3 81.5 65.3 74.7 62.1 58.7 48.8 78.8 82.9 92.4 31.5 90.0 81.5 92.4 65.3 78.6 72.4 84.2 73.8 78.3 76.8 81.6 69.4 43.3
Percent female 24.5 9.7 0.9 11.7 21.9 15.1 41.0 17.7 15.7 18.5 34.7 25.3 37.9 41.3 51.2 21.2 17.1 7.6 68.5 10.0 18.5 7.6 34.7 21.4 27.6 15.8 26.2 21.7 23.2 18.4 30.6 56.7
Total 100.0 0.1 0.2 1.0 3.1 2.1 9.3 0.9 0.1 4.3 12.4 9.2 0.7 1.3 0.2 0.9 2.2 1.4 0.7 0.6 13.1 0.1 0.5 8.3 4.7 4.8 5.7 0.3 26.5 * 1.3 0.8
Male 100.0 0.1 0.2 1.2 3.2 2.4 7.3 0.9 0.1 4.7 10.7 9.1 0.6 1.0 0.1 0.9 2.4 1.7 0.3 0.7 14.2 0.1 0.4 8.6 4.6 5.4 5.6 0.3 27.0 * 1.2 0.4
Female 100.0 * * 0.5 2.7 1.3 15.6 0.6 0.1 3.3 17.6 9.5 1.1 2.2 0.3 0.8 1.5 0.4 1.9 0.2 9.9 * 0.7 7.2 5.3 3.1 6.1 0.2 25.1 * 1.6 1.8
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
arson. * = Less than one-tenth of 1 percent.
CRIME IN THE UNITED STATES (BERNAN PRESS)
350
Table 49. City Arrests, Distribution by Race, 2007 (Number, percent; 8,686 agencies; 2007 estimated population 157,379,491.) Percent distribution1
Total arrests Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ............................... Property crime2 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
White
Black
8,134,299 5,473,198 2,481,719
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
American Asian Indian or or Alaskan Pacific Native Islander
108,271
71,111
100.0
67.3
30.5
1.3
0.9 1,362,556
901,384
430,161
16,440
14,571
7,505 12,586 83,230 250,587 171,066 758,380 70,337 8,377 353,908 1,008,160 748,930 59,871 104,976 13,411
3,151 7,510 34,316 152,552 111,597 513,012 40,959 6,066 197,529 671,634 468,205 40,726 69,289 8,429
4,201 4,803 47,838 92,326 56,693 225,979 27,917 2,146 149,168 312,735 262,874 18,198 33,928 4,693
66 147 489 2,974 1,333 10,390 743 77 3,676 12,543 10,594 315 882 84
87 126 587 2,735 1,443 8,999 718 88 3,535 11,248 7,257 632 877 205
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
42.0 59.7 41.2 60.9 65.2 67.6 58.2 72.4 55.8 66.6 62.5 68.0 66.0 62.9
56.0 38.2 57.5 36.8 33.1 29.8 39.7 25.6 42.1 31.0 35.1 30.4 32.3 35.0
0.9 1.2 0.6 1.2 0.8 1.4 1.1 0.9 1.0 1.2 1.4 0.5 0.8 0.6
1.2 1.0 0.7 1.1 0.8 1.2 1.0 1.1 1.0 1.1 1.0 1.1 0.8 1.5
827 1,948 23,293 34,785 47,630 199,402 18,242 4,334 60,853 269,608 139,807 1,861 4,491 1,084
315 1,112 7,207 19,190 29,990 133,321 9,381 3,287 27,824 175,979 81,410 1,348 2,738 655
494 808 15,777 14,899 16,830 60,245 8,382 941 31,978 86,398 55,898 474 1,631 396
9 16 102 337 368 2,707 241 39 464 3,355 1,406 15 70 9
9 12 207 359 442 3,129 238 67 587 3,876 1,093 24 52 24
71,264 176,865
42,674 130,924
27,437 41,660
498 2,610
655 1,671
100.0 100.0
59.9 74.0
38.5 23.6
0.7 1.5
0.9 0.9
14,271 69,680
7,543 54,674
6,471 13,459
98 842
159 705
114,183
63,339
49,039
717
1,088
100.0
55.5
42.9
0.6
1.0
27,196
16,534
10,157
172
333
56,665
32,477
22,483
535
1,170
100.0
57.3
39.7
0.9
2.1
1,088
436
639
9
4
44,991 1,071,105 8,245
31,546 646,325 1,613
12,496 411,972 6,516
443 6,164 14
506 6,644 102
100.0 100.0 100.0
70.1 60.3 19.6
27.8 38.5 79.0
1.0 0.6 0.2
1.1 0.6 1.2
8,133 120,199 1,548
5,580 80,559 56
2,448 37,773 1,486
44 1,019 1
61 848 5
40,211 673,205 384,375 390,822 465,163 22,888
28,723 589,540 323,904 322,964 290,450 13,573
10,310 67,680 43,862 57,991 164,479 8,711
792 9,281 12,602 7,577 7,003 493
386 6,704 4,007 2,290 3,231 111
100.0 100.0 100.0 100.0 100.0 100.0
71.4 87.6 84.3 82.6 62.4 59.3
25.6 10.1 11.4 14.8 35.4 38.1
2.0 1.4 3.3 1.9 1.5 2.2
1.0 1.0 1.0 0.6 0.7 0.5
2,817 9,130 82,694 11,345 132,762 2,579
2,028 8,446 74,543 10,118 76,915 1,955
714 455 4,776 905 53,615 595
55 157 2,438 229 1,254 19
20 72 937 93 978 10
2,155,456 1,389,962 883 563
719,763 306
29,064 4
16,667 10
100.0 100.0
64.5 63.8
33.4 34.7
1.3 0.5
0.8 1.1
232,486 202
163,093 141
64,417 58
2,401 3
2,575 0
36,878 18,540
914 1,466
1,088 1,027
100.0 100.0
63.1 66.8
35.0 29.2
0.9 2.3
1.0 1.6
105,326 63,396
66,446 42,363
36,878 18,540
914 1,466
1,088 1,027
105,326 63,396
66,446 42,363
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
SECTION IV: PERSONS ARRESTED 351 Table 49. City Arrests, Distribution by Race, 2007 (Contd.) (Number, percent; 8,686 agencies; 2007 estimated population 157,379,491.) Percent distribution1 Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ................................... Property crime2 ................................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
White
Black
Percent distribution1
Arrests 18 years and over
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
100.0
66.2
31.6
1.2
1.1 6,771,743 4,571,814 2,051,558
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
38.1 57.1 30.9 55.2 63.0 66.9 51.4 75.8 45.7 65.3 58.2 72.4 61.0 60.4
59.7 41.5 67.7 42.8 35.3 30.2 45.9 21.7 52.5 32.0 40.0 25.5 36.3 36.5
1.1 0.8 0.4 1.0 0.8 1.4 1.3 0.9 0.8 1.2 1.0 0.8 1.6 0.8
1.1 0.6 0.9 1.0 0.9 1.6 1.3 1.5 1.0 1.4 0.8 1.3 1.2 2.2
6,678 10,638 59,937 215,802 123,436 558,978 52,095 4,043 293,055 738,552 609,123 58,010 100,485 12,327
2,836 6,398 27,109 133,362 81,607 379,691 31,578 2,779 169,705 495,655 386,795 39,378 66,551 7,774
100.0 100.0
52.9 78.5
45.3 19.3
0.7 1.2
1.1 1.0
56,993 107,185
100.0
60.8
37.3
0.6
1.2
100.0
40.1
58.7
0.8
100.0 100.0 100.0
68.6 67.0 3.6
30.1 31.4 96.0
100.0 100.0 100.0 100.0 100.0 100.0
72.0 92.5 90.1 89.2 57.9 75.8
100.0 100.0 100.0 100.0
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
91,831
56,540
100.0
67.5
30.3
1.4
0.8
3,707 3,995 32,061 77,427 39,863 165,734 19,535 1,205 117,190 226,337 206,976 17,724 32,297 4,297
57 131 387 2,637 965 7,683 502 38 3,212 9,188 9,188 300 812 75
78 114 380 2,376 1,001 5,870 480 21 2,948 7,372 6,164 608 825 181
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
42.5 60.1 45.2 61.8 66.1 67.9 60.6 68.7 57.9 67.1 63.5 67.9 66.2 63.1
55.5 37.6 53.5 35.9 32.3 29.6 37.5 29.8 40.0 30.6 34.0 30.6 32.1 34.9
0.9 1.2 0.6 1.2 0.8 1.4 1.0 0.9 1.1 1.2 1.5 0.5 0.8 0.6
1.2 1.1 0.6 1.1 0.8 1.1 0.9 0.5 1.0 1.0 1.0 1.0 0.8 1.5
35,131 76,250
20,966 28,201
400 1,768
496 966
100.0 100.0
61.6 71.1
36.8 26.3
0.7 1.6
0.9 0.9
86,987
46,805
38,882
545
755
100.0
53.8
44.7
0.6
0.9
0.4
55,577
32,041
21,844
526
1,166
100.0
57.7
39.3
0.9
2.1
0.5 0.8 0.1
0.8 0.7 0.3
36,858 950,906 6,697
25,966 565,766 1,557
10,048 374,199 5,030
399 5,145 13
445 5,796 97
100.0 100.0 100.0
70.4 59.5 23.2
27.3 39.4 75.1
1.1 0.5 0.2
1.2 0.6 1.4
25.3 5.0 5.8 8.0 40.4 23.1
2.0 1.7 2.9 2.0 0.9 0.7
0.7 0.8 1.1 0.8 0.7 0.4
37,394 664,075 301,681 379,477 332,401 20,309
26,695 581,094 249,361 312,846 213,535 11,618
9,596 67,225 39,086 57,086 110,864 8,116
737 9,124 10,164 7,348 5,749 474
366 6,632 3,070 2,197 2,253 101
100.0 100.0 100.0 100.0 100.0 100.0
71.4 87.5 82.7 82.4 64.2 57.2
25.7 10.1 13.0 15.0 33.4 40.0
2.0 1.4 3.4 1.9 1.7 2.3
1.0 1.0 1.0 0.6 0.7 0.5
70.2 69.8
27.7 28.7
1.0 1.5
1.1 1,922,970 1,226,869 0.0 681 422
655,346 248
26,663 1
14,092 10
100.0 100.0
63.8 62.0
34.1 36.4
1.4 0.1
0.7 1.5
63.1 66.8
35.0 29.2
0.9 2.3
1.0 1.6
-
-
-
-
-
-
-
-
-
-
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
CRIME IN THE UNITED STATES (BERNAN PRESS)
352
Table 50. Arrest Trends for Metropolitan Counties, 2006–2007 (Number, percent change; 1,182 agencies; 2007 estimated population 42,738,507; 2006 estimated population 42,558,036.) Number of persons arrested Total all ages
Offense charged
TOTAL1 ..................................................................................... Murder and nonnegligent manslaughter................................ Forcible rape.............................................................................. Robbery ..................................................................................... Aggravated assault.................................................................... Burglary ..................................................................................... Larceny-theft ............................................................................. Motor vehicle theft ................................................................... Arson .......................................................................................... Violent crime2 ........................................................................ Property crime2 ..................................................................... Other assaults ............................................................................ Forgery and counterfeiting ...................................................... Fraud........................................................................................... Embezzlement........................................................................... Stolen property; buying, receiving, possessing....................... Vandalism................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice..................................... Sex offenses (except forcible rape and prostitution) ............ Drug abuse violations............................................................... Gambling.................................................................................... Offenses against the family and children ............................... Driving under the influence..................................................... Liquor laws ................................................................................ Drunkenness.............................................................................. Disorderly conduct ................................................................... Vagrancy..................................................................................... All other offenses (except traffic)........................................... Suspicion .................................................................................... Curfew and loitering law violations ........................................ Runaways................................................................................... 1 Does
2006
2007
1,652,713 1,665 3,115 9,615 52,093 35,482 89,892 14,722 2,016 66,488 142,112 147,981 12,392 55,780 2,332 14,571 28,762 18,336 2,315 10,901 201,325 603 34,198 226,415 51,692 38,894 42,261 2,644 535,986 493 3,495 13,230
1,635,770 1,593 2,880 9,477 51,696 35,405 93,965 12,219 2,032 65,646 143,621 149,632 11,449 49,950 2,601 13,498 27,314 17,755 2,075 10,930 196,307 607 34,458 226,355 51,237 40,861 42,858 2,185 529,237 460 3,755 13,439
Under 18 years of age Percent change -1.0 -4.3 -7.5 -1.4 -0.8 -0.2 +4.5 -17.0 +0.8 -1.3 +1.1 +1.1 -7.6 -10.5 +11.5 -7.4 -5.0 -3.2 -10.4 +0.3 -2.5 +0.7 +0.8 * -0.9 +5.1 +1.4 -17.4 -1.3 -6.7 +7.4 +1.6
2006 193,773 128 454 2,253 6,168 9,393 20,747 3,045 864 9,003 34,049 28,769 376 760 172 1,797 10,733 4,153 50 2,100 18,267 34 746 2,314 13,876 1,128 12,943 253 35,525 93 3,495 13,230
2007 190,164 120 458 2,244 6,097 8,703 21,488 2,502 831 8,919 33,524 28,567 319 760 183 1,619 9,819 3,910 48 1,994 18,303 28 913 2,163 13,534 1,110 12,824 307 34,126 58 3,755 13,439
18 years of age and over Percent change -1.9 -6.3 +0.9 -0.4 -1.2 -7.3 +3.6 -17.8 -3.8 -0.9 -1.5 -0.7 -15.2 0.0 +6.4 -9.9 -8.5 -5.9 -4.0 -5.0 +0.2 -17.6 +22.4 -6.5 -2.5 -1.6 -0.9 +21.3 -3.9 -37.6 +7.4 +1.6
2006
2007
1,458,940 1,537 2,661 7,362 45,925 26,089 69,145 11,677 1,152 57,485 108,063 119,212 12,016 55,020 2,160 12,774 18,029 14,183 2,265 8,801 183,058 569 33,452 224,101 37,816 37,766 29,318 2,391 500,461 400 -
1,445,606 1,473 2,422 7,233 45,599 26,702 72,477 9,717 1,201 56,727 110,097 121,065 11,130 49,190 2,418 11,879 17,495 13,845 2,027 8,936 178,004 579 33,545 224,192 37,703 39,751 30,034 1,878 495,111 402 -
Percent change -0.9 -4.2 -9.0 -1.8 -0.7 +2.3 +4.8 -16.8 +4.3 -1.3 +1.9 +1.6 -7.4 -10.6 +11.9 -7.0 -3.0 -2.4 -10.5 +1.5 -2.8 +1.8 +0.3 * -0.3 +5.3 +2.4 -21.5 -1.1 +0.5 -
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson. * = Less than one-tenth of 1 percent.
SECTION IV: PERSONS ARRESTED 353 Table 51. Arrest Trends for Metropolitan Counties, by Age and Sex, 2006–2007 (Number, percent change; 1,182 agencies; 2007 estimated population 42,738,507; 2006 estimated population 42,558,036.) Male Offense charged 2006
2007
TOTAL1 .................................................................................... 1,273,780 1,255,778 Murder and nonnegligent manslaughter .............................. 1,444 1,414 Forcible rape ............................................................................ 3,061 2,843 Robbery .................................................................................... 8,631 8,474 Aggravated assault .................................................................. 42,042 41,418 Burglary .................................................................................... 30,637 30,685 Larceny-theft............................................................................ 59,114 60,229 Motor vehicle theft .................................................................. 12,083 10,061 Arson......................................................................................... 1,693 1,716 Violent crime2 ...................................................................... 55,178 54,149 Property crime2 .................................................................... 103,527 102,691 Other assaults........................................................................... 110,756 111,799 Forgery and counterfeiting ..................................................... 7,552 7,071 Fraud ......................................................................................... 28,885 26,166 Embezzlement.......................................................................... 1,109 1,266 Stolen property; buying, receiving, possessing...................... 11,918 11,102 Vandalism ................................................................................. 24,194 22,747 Weapons; carrying, possessing, etc. ........................................ 16,795 16,319 Prostitution and commercialized vice ................................... 1,067 875 Sex offenses (except forcible rape and prostitution)........... 10,298 10,294 Drug abuse violations ............................................................. 161,193 156,680 Gambling .................................................................................. 480 492 Offenses against the family and children.............................. 28,818 28,857 Driving under the influence ................................................... 183,754 181,806 Liquor laws ............................................................................... 36,947 36,673 Drunkenness ............................................................................ 32,488 33,685 Disorderly conduct .................................................................. 31,310 31,540 Vagrancy ................................................................................... 1,848 1,583 All other offenses (except traffic) ......................................... 417,268 411,374 Suspicion................................................................................... 384 353 Curfew and loitering law violations....................................... 2,285 2,444 Runaways ................................................................................. 6,110 6,165 1 Does
Female
Total
Under 18 Percent change -1.4 -2.1 -7.1 -1.8 -1.5 +0.2 +1.9 -16.7 +1.4 -1.9 -0.8 +0.9 -6.4 -9.4 +14.2 -6.8 -6.0 -2.8 -18.0 * -2.8 +2.5 +0.1 -1.1 -0.7 +3.7 +0.7 -14.3 -1.4 -8.1 +7.0 +0.9
2006
2007
139,487 119 444 2,069 4,830 8,525 13,381 2,539 755 7,462 25,200 19,173 266 509 109 1,517 9,305 3,624 26 1,937 14,968 32 479 1,812 8,671 845 8,940 196 26,021 69 2,285 6,110
135,864 111 448 2,054 4,768 7,838 13,377 2,072 730 7,381 24,017 19,178 233 510 116 1,374 8,418 3,503 19 1,869 15,022 27 634 1,652 8,462 810 8,636 211 25,183 40 2,444 6,165
Total Percent change -2.6 -6.7 +0.9 -0.7 -1.3 -8.1 * -18.4 -3.3 -1.1 -4.7 * -12.4 +0.2 +6.4 -9.4 -9.5 -3.3 -26.9 -3.5 +0.4 -15.6 +32.4 -8.8 -2.4 -4.1 -3.4 +7.7 -3.2 -42.0 +7.0 +0.9
2006
2007
378,933 221 54 984 10,051 4,845 30,778 2,639 323 11,310 38,585 37,225 4,840 26,895 1,223 2,653 4,568 1,541 1,248 603 40,132 123 5,380 42,661 14,745 6,406 10,951 796 118,718 109 1,210 7,120
379,992 179 37 1,003 10,278 4,720 33,736 2,158 316 11,497 40,930 37,833 4,378 23,784 1,335 2,396 4,567 1,436 1,200 636 39,627 115 5,601 44,549 14,564 7,176 11,318 602 117,863 107 1,311 7,274
Under 18 Percent change +0.3 -19.0 -31.5 +1.9 +2.3 -2.6 +9.6 -18.2 -2.2 +1.7 +6.1 +1.6 -9.5 -11.6 +9.2 -9.7 * -6.8 -3.8 +5.5 -1.3 -6.5 +4.1 +4.4 -1.2 +12.0 +3.4 -24.4 -0.7 -1.8 +8.3 +2.2
2006
2007
54,286 9 10 184 1,338 868 7,366 506 109 1,541 8,849 9,596 110 251 63 280 1,428 529 24 163 3,299 2 267 502 5,205 283 4,003 57 9,504 24 1,210 7,120
54,300 9 10 190 1,329 865 8,111 430 101 1,538 9,507 9,389 86 250 67 245 1,401 407 29 125 3,281 1 279 511 5,072 300 4,188 96 8,943 18 1,311 7,274
Percent change * 0.0 0.0 +3.3 -0.7 -0.3 +10.1 -15.0 -7.3 -0.2 +7.4 -2.2 -21.8 -0.4 +6.3 -12.5 -1.9 -23.1 20.8 -23.3 -0.5 -50.0 +4.5 +1.8 -2.6 +6.0 +4.6 +68.4 -5.9 -25.0 +8.3 +2.2
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson. * = Less than one-tenth of 1 percent.
354
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 52. Arrests in Metropolitan Counties, Distribution by Age, 2007 (Number, percent; 1,311 agencies; 2007 estimated population 47,357,825.) Offense charged
TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ............. Property crime2 .............................................. Property crime percent distribution1 ........... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
Total all ages
Ages under 15
Ages under 18
1,768,840 100.0 1,944 3,002 11,428 56,233 39,235 105,297 13,938 2,153 72,607 100.0 160,623 100.0 161,719 13,104 51,702 2,635
57,188 3.2 13 172 556 2,088 2,727 6,931 588 486 2,829 3.9 10,732 6.7 12,145 70 114 10
15,625 30,259 21,066 2,484
407 4,080 1,843 9
2,005 10,957 4,963 62
12,065 222,026 601
1,179 2,883 6
35,576 241,360 55,089 40,058 49,347 2,482 558,677 617 3,873 15,245
244 31 1,054 128 5,361 59 8,660 17 874 4,453
Ages 18 and over
213,658 1,555,182 12.1 87.9 147 1,797 470 2,532 2,774 8,654 6,795 49,438 9,844 29,391 24,191 81,106 2,915 11,023 874 1,279 10,186 62,421 14.0 86.0 37,824 122,799 23.5 76.5 31,855 129,864 381 12,723 821 50,881 186 2,449
Under 10
10–12
13–14
15
16
17
18
19
20
1,857 0.1 0 1 4 91 107 158 5 43 96 0.1 313 0.2 417 3 1 0
11,779 0.7 1 43 78 519 575 1,402 60 158 641 0.9 2,195 1.4 3,066 15 18 3
43,552 2.5 12 128 474 1,478 2,045 5,371 523 285 2,092 2.9 8,224 5.1 8,662 52 95 7
40,820 2.3 20 76 564 1,234 1,961 4,816 676 160 1,894 2.6 7,613 4.7 6,383 46 140 12
53,093 3.0 49 100 718 1,614 2,365 5,822 826 126 2,481 3.4 9,139 5.7 7,012 78 213 56
62,557 3.5 65 122 936 1,859 2,791 6,622 825 102 2,982 4.1 10,340 6.4 6,315 187 354 108
74,393 4.2 133 150 1,216 2,134 3,185 6,522 863 109 3,633 5.0 10,679 6.6 5,161 394 763 180
77,468 4.4 108 140 946 2,092 2,559 5,294 697 83 3,286 4.5 8,633 5.4 4,765 552 1,178 164
74,233 4.2 91 139 711 2,037 2,134 4,352 669 78 2,978 4.1 7,233 4.5 4,656 508 1,349 168
13,620 19,302 16,103 2,422
7 207 133 0
60 1,031 522 1
340 2,842 1,188 8
395 2,175 917 11
521 2,351 1,017 16
682 2,351 1,186 26
931 1,906 1,227 69
796 1,532 1,140 93
763 1,255 974 88
2,342 20,759 29
9,723 201,267 572
78 28 0
345 309 0
756 2,546 6
391 3,198 5
389 5,524 12
383 9,154 6
476 12,977 9
436 13,277 16
406 12,523 18
959 2,339 14,452 1,094 15,057 334 37,872 63 3,873 15,245
34,617 239,021 40,637 38,964 34,290 2,148 520,805 554 -
6 5 7 5 118 2 309 0 11 111
36 3 66 8 1,177 4 1,567 4 119 589
202 23 981 115 4,066 53 6,784 13 744 3,753
179 87 2,041 180 3,239 66 7,134 15 820 3,879
279 529 4,213 263 3,530 105 9,795 17 1,161 4,392
257 1,692 7,144 523 2,927 104 12,283 14 1,018 2,521
423 4,751 10,064 1,390 2,203 96 17,002 59 -
423 6,970 9,964 1,503 1,661 102 20,918 59 -
502 7,997 7,588 1,443 1,457 93 22,207 27 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 355 Table 52. Arrests in Metropolitan Counties, Distribution by Age, 2007 (Contd.) (Number, percent; 1,311 agencies; 2007 estimated population 47,357,825.) Offense charged TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ............. Property crime2 .............................................. Property crime percent distribution1 ........... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
50–54
55–59
60–64
65 and over
21
22
23
24
25–29
30–34
35–39
40–44
45–49
71,086 4.0 95 129 580 2,043 1,681 3,926 544 55 2,847 3.9 6,206 3.9 5,000 500 1,437 132
67,646 3.8 118 96 467 2,045 1,425 3,466 562 51 2,726 3.8 5,504 3.4 4,837 518 1,536 105
64,001 3.6 88 96 413 1,838 1,344 3,081 480 41 2,435 3.4 4,946 3.1 4,693 506 1,608 100
62,231 3.5 102 84 402 1,872 1,194 2,908 473 34 2,460 3.4 4,609 2.9 4,651 543 1,734 85
266,944 15.1 324 371 1,376 8,510 4,793 12,168 2,042 187 10,581 14.6 19,190 11.9 21,229 2,459 8,641 343
194,245 11.0 183 304 807 6,216 3,066 9,063 1,404 142 7,510 10.3 13,675 8.5 17,177 1,918 8,157 289
181,195 10.2 149 314 645 5,906 2,775 9,066 1,229 117 7,014 9.7 13,187 8.2 17,203 1,760 8,045 276
165,392 9.4 132 288 510 5,500 2,495 8,914 963 145 6,430 8.9 12,517 7.8 15,826 1,387 6,503 266
127,216 7.2 109 197 379 4,366 1,591 6,165 637 108 5,051 7.0 8,501 5.3 12,077 905 4,706 158
70,441 4.0 76 100 106 2,551 710 3,327 284 66 2,833 3.9 4,387 2.7 6,553 444 2,718 88
32,934 1.9 37 55 68 1,200 278 1,534 98 36 1,360 1.9 1,946 1.2 3,085 201 1,354 59
14,780 0.8 29 32 17 578 118 738 50 17 656 0.9 923 0.6 1,575 76 680 22
10,977 0.6 23 37 11 550 43 582 28 10 621 0.9 663 0.4 1,376 52 472 14
670 1,093 952 101
632 999 900 86
601 851 782 91
532 755 721 82
2,509 3,112 2,904 401
1,702 2,043 1,702 281
1,462 1,857 1,377 349
1,346 1,585 1,193 333
907 1,153 976 228
470 610 621 107
171 276 341 62
75 153 153 24
53 122 140 27
365 11,433 6
324 10,453 13
304 9,558 8
268 8,995 12
1,341 36,333 59
1,040 22,900 68
1,177 19,373 80
1,075 17,911 74
932 13,946 70
586 7,340 45
378 2,884 42
303 925 24
312 439 28
621 11,741 1,198 1,841 1,798 112 23,010 23 -
713 11,802 868 1,752 1,550 83 22,213 32 -
816 11,729 662 1,560 1,468 81 21,181 21 -
982 11,323 579 1,396 1,348 67 21,065 24 -
5,818 44,717 2,246 5,959 5,370 337 93,308 87 -
6,161 29,778 1,567 4,178 3,705 209 70,131 54 -
6,349 26,073 1,416 4,184 3,628 252 66,083 50 -
5,492 24,362 1,547 4,635 3,709 284 58,875 42 -
3,618 21,092 1,334 4,347 3,043 221 43,914 37 -
1,689 13,294 814 2,695 1,737 121 23,265 24 -
652 7,349 440 1,314 849 62 10,101 8 -
260 3,499 228 458 403 14 4,327 2 -
98 2,544 122 309 361 14 3,205 5 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
356
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 53. Arrests in Metropolitan Counties of Persons Under 15, 18, 21, and 25 Years of Age, 2007 (Number, percent; 1,311 agencies; 2007 estimated population 47,357,825.) Number of persons arrested Offense charged
Under 15 TOTAL ....................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime1 ........................................................................ Property crime1 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. .......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1 Violent
Percent of total all ages
Total all ages 1,768,840 1,944 3,002 11,428 56,233 39,235 105,297 13,938 2,153 72,607 160,623 161,719 13,104 51,702 2,635 15,625 30,259 21,066 2,484 12,065 222,026 601 35,576 241,360 55,089 40,058 49,347 2,482 558,677 617 3,873 15,245
57,188 13 172 556 2,088 2,727 6,931 588 486 2,829 10,732 12,145 70 114 10 407 4,080 1,843 9 1,179 2,883 6 244 31 1,054 128 5,361 59 8,660 17 874 4,453
Under 18 213,658 147 470 2,774 6,795 9,844 24,191 2,915 874 10,186 37,824 31,855 381 821 186 2,005 10,957 4,963 62 2,342 20,759 29 959 2,339 14,452 1,094 15,057 334 37,872 63 3,873 15,245
Under 21 439,752 479 899 5,647 13,058 17,722 40,359 5,144 1,144 20,083 64,369 46,437 1,835 4,111 698 4,495 15,650 8,304 312 3,660 59,536 72 2,307 22,057 42,068 5,430 20,378 625 97,999 208 3,873 15,245
Under 25 704,716 882 1,304 7,509 20,856 23,366 53,740 7,203 1,325 30,551 85,634 65,618 3,902 10,426 1,120 6,930 19,348 11,659 672 4,921 99,975 111 5,439 68,652 45,375 11,979 26,542 968 185,468 308 3,873 15,245
Under 15 3.2 0.7 5.7 4.9 3.7 7.0 6.6 4.2 22.6 3.9 6.7 7.5 0.5 0.2 0.4 2.6 13.5 8.7 0.4 9.8 1.3 1.0 0.7 * 1.9 0.3 10.9 2.4 1.6 2.8 22.6 29.2
Under 18 12.1 7.6 15.7 24.3 12.1 25.1 23.0 20.9 40.6 14.0 23.5 19.7 2.9 1.6 7.1 12.8 36.2 23.6 2.5 19.4 9.3 4.8 2.7 1.0 26.2 2.7 30.5 13.5 6.8 10.2 100.0 100.0
Under 21 24.9 24.6 29.9 49.4 23.2 45.2 38.3 36.9 53.1 27.7 40.1 28.7 14.0 8.0 26.5 28.8 51.7 39.4 12.6 30.3 26.8 12.0 6.5 9.1 76.4 13.6 41.3 25.2 17.5 33.7 100.0 100.0
Under 25 39.8 45.4 43.4 65.7 37.1 59.6 51.0 51.7 61.5 42.1 53.3 40.6 29.8 20.2 42.5 44.4 63.9 55.3 27.1 40.8 45.0 18.5 15.3 28.4 82.4 29.9 53.8 39.0 33.2 49.9 100.0 100.0
crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
SECTION IV: PERSONS ARRESTED 357 Table 54. Arrests in Metropolitan Counties, Distribution by Sex, 2007 (Number, percent; 1,311 agencies; 2007 estimated population 47,357,825.) Percent distribution1
Number of persons arrested Offense charged
TOTAL .................................................................................................................. Murder and nonnegligent manslaughter ........................................................... Forcible rape ......................................................................................................... Robbery................................................................................................................. Aggravated assault ............................................................................................... Burglary................................................................................................................. Larceny-theft ........................................................................................................ Motor vehicle theft............................................................................................... Arson ..................................................................................................................... Violent crime2 ................................................................................................... Property crime2 ................................................................................................. Other assaults ....................................................................................................... Forgery and counterfeiting.................................................................................. Fraud...................................................................................................................... Embezzlement ...................................................................................................... Stolen property; buying, receiving, possessing .................................................. Vandalism .............................................................................................................. Weapons; carrying, possessing, etc...................................................................... Prostitution and commercialized vice................................................................ Sex offenses (except forcible rape and prostitution) ....................................... Drug abuse violations .......................................................................................... Gambling............................................................................................................... Offenses against the family and children........................................................... Driving under the influence ................................................................................ Liquor laws............................................................................................................ Drunkenness ......................................................................................................... Disorderly conduct............................................................................................... Vagrancy ................................................................................................................ All other offenses (except traffic) ...................................................................... Suspicion ............................................................................................................... Curfew and loitering law violations ................................................................... Runaways .............................................................................................................. 1 Because 2 Violent
Total
Male
1,768,840 1,944 3,002 11,428 56,233 39,235 105,297 13,938 2,153 72,607 160,623 161,719 13,104 51,702 2,635 15,625 30,259 21,066 2,484 12,065 222,026 601 35,576 241,360 55,089 40,058 49,347 2,482 558,677 617 3,873 15,245
1,359,891 1,727 2,967 10,210 45,116 34,075 67,300 11,475 1,808 60,020 114,658 120,932 8,152 27,296 1,295 12,874 25,225 19,351 980 11,354 178,181 485 29,677 193,832 39,265 33,042 36,088 1,816 435,379 464 2,547 6,978
Female 408,949 217 35 1,218 11,117 5,160 37,997 2,463 345 12,587 45,965 40,787 4,952 24,406 1,340 2,751 5,034 1,715 1,504 711 43,845 116 5,899 47,528 15,824 7,016 13,259 666 123,298 153 1,326 8,267
Percent male 76.9 88.8 98.8 89.3 80.2 86.8 63.9 82.3 84.0 82.7 71.4 74.8 62.2 52.8 49.1 82.4 83.4 91.9 39.5 94.1 80.3 80.7 83.4 80.3 71.3 82.5 73.1 73.2 77.9 75.2 65.8 45.8
Percent female 23.1 11.2 1.2 10.7 19.8 13.2 36.1 17.7 16.0 17.3 28.6 25.2 37.8 47.2 50.9 17.6 16.6 8.1 60.5 5.9 19.7 19.3 16.6 19.7 28.7 17.5 26.9 26.8 22.1 24.8 34.2 54.2
Total 100.0 0.1 0.2 0.6 3.2 2.2 6.0 0.8 0.1 4.1 9.1 9.1 0.7 2.9 0.1 0.9 1.7 1.2 0.1 0.7 12.6 * 2.0 13.6 3.1 2.3 2.8 0.1 31.6 * 0.2 0.9
Male 100.0 0.1 0.2 0.8 3.3 2.5 4.9 0.8 0.1 4.4 8.4 8.9 0.6 2.0 0.1 0.9 1.9 1.4 0.1 0.8 13.1 * 2.2 14.3 2.9 2.4 2.7 0.1 32.0 * 0.2 0.5
Female 100.0 0.1 * 0.3 2.7 1.3 9.3 0.6 0.1 3.1 11.2 10.0 1.2 6.0 0.3 0.7 1.2 0.4 0.4 0.2 10.7 * 1.4 11.6 3.9 1.7 3.2 0.2 30.1 * 0.3 2.0
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
arson. * = Less than one-tenth of 1 percent.
CRIME IN THE UNITED STATES (BERNAN PRESS)
358
Table 55. Arrests in Metropolitan Counties, Distribution by Race, 2007 (Number, percent; 1,311 agencies; 2007 estimated population 47,357,825.) Percent distribution1
Total arrests Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ............................... Property crime2 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
White
1,764,034 1,330,691
Black
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
American Asian Indian or or Alaskan Pacific Native Islander
411,854
11,165
10,324
100.0
75.4
23.3
0.6
0.6
213,114
144,790
65,794
1,157
1,373
1,944 2,993 11,423 56,183 39,197 105,116 13,921 2,143 72,543 160,377 161,435 13,085 51,573 2,632
1,213 2,254 5,256 41,486 30,024 72,312 10,528 1,692 50,209 114,556 117,881 9,506 36,156 1,594
713 688 6,076 13,889 8,798 31,257 3,233 420 21,366 43,708 41,821 3,427 15,017 1,011
6 28 45 434 198 621 86 17 513 922 863 46 208 7
12 23 46 374 177 926 74 14 455 1,191 870 106 192 20
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
62.4 75.3 46.0 73.8 76.6 68.8 75.6 79.0 69.2 71.4 73.0 72.6 70.1 60.6
36.7 23.0 53.2 24.7 22.4 29.7 23.2 19.6 29.5 27.3 25.9 26.2 29.1 38.4
0.3 0.9 0.4 0.8 0.5 0.6 0.6 0.8 0.7 0.6 0.5 0.4 0.4 0.3
0.6 0.8 0.4 0.7 0.5 0.9 0.5 0.7 0.6 0.7 0.5 0.8 0.4 0.8
147 467 2,773 6,784 9,825 24,136 2,911 870 10,171 37,742 31,806 380 819 186
68 331 823 4,262 6,875 14,490 1,923 665 5,484 23,953 18,242 265 574 85
79 133 1,936 2,443 2,819 9,296 953 192 4,591 13,260 13,304 113 239 99
0 0 3 37 70 108 13 5 40 196 135 1 3 0
0 3 11 42 61 242 22 8 56 333 125 1 3 2
15,605 30,183
11,213 24,292
4,196 5,507
105 213
91 171
100.0 100.0
71.9 80.5
26.9 18.2
0.7 0.7
0.6 0.6
2,001 10,916
1,256 8,520
718 2,274
12 61
15 61
21,029
13,592
7,190
113
134
100.0
64.6
34.2
0.5
0.6
4,961
2,858
2,033
20
50
2,481
1,580
748
8
145
100.0
63.7
30.1
0.3
5.8
62
31
31
0
0
12,050 221,670 594
9,624 162,434 413
2,259 56,975 168
69 1,157 3
98 1,104 10
100.0 100.0 100.0
79.9 73.3 69.5
18.7 25.7 28.3
0.6 0.5 0.5
0.8 0.5 1.7
2,337 20,714 29
1,655 15,603 6
661 4,853 23
12 124 0
9 134 0
35,440 240,681 54,636 39,978 49,234 2,481
22,392 215,646 49,345 36,392 33,707 1,768
12,773 22,044 4,172 2,930 15,049 705
142 1,288 646 483 302 3
133 1,703 473 173 176 5
100.0 100.0 100.0 100.0 100.0 100.0
63.2 89.6 90.3 91.0 68.5 71.3
36.0 9.2 7.6 7.3 30.6 28.4
0.4 0.5 1.2 1.2 0.6 0.1
0.4 0.7 0.9 0.4 0.4 0.2
955 2,328 14,362 1,093 15,029 334
685 2,218 13,541 1,000 7,551 304
264 88 565 73 7,370 28
1 14 143 13 52 0
5 8 113 7 56 2
556,639 617
403,400 289
146,364 324
3,961 0
2,914 4
100.0 100.0
72.5 46.8
26.3 52.5
0.7 0.0
0.5 0.6
37,755 63
26,234 23
11,067 40
217 0
237 0
3,844 15,227
3,158 11,544
628 3,472
17 96
41 115
100.0 100.0
82.2 75.8
16.3 22.8
0.4 0.6
1.1 0.8
3,844 15,227
3,158 11,544
628 3,472
17 96
41 115
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
SECTION IV: PERSONS ARRESTED 359 Table 55. Arrests in Metropolitan Counties, Distribution by Race, 2007 (Contd.) (Number, percent; 1,311 agencies; 2007 estimated population 47,357,825.) Percent distribution1 Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ............................... Property crime2 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
White
Black
Percent distribution1
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
100.0
67.9
30.9
0.5
0.6 1,550,920 1,185,901
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
46.3 70.9 29.7 62.8 70.0 60.0 66.1 76.4 53.9 63.5 57.4 69.7 70.1 45.7
53.7 28.5 69.8 36.0 28.7 38.5 32.7 22.1 45.1 35.1 41.8 29.7 29.2 53.2
0.0 0.0 0.1 0.5 0.7 0.4 0.4 0.6 0.4 0.5 0.4 0.3 0.4 0.0
0.0 0.6 0.4 0.6 0.6 1.0 0.8 0.9 0.6 0.9 0.4 0.3 0.4 1.1
1,797 2,526 8,650 49,399 29,372 80,980 11,010 1,273 62,372 122,635 129,629 12,705 50,754 2,446
100.0 100.0
62.8 78.1
35.9 20.8
0.6 0.6
0.7 0.6
100.0
57.6
41.0
0.4
100.0
50.0
50.0
100.0 100.0 100.0
70.8 75.3 20.7
100.0 100.0 100.0 100.0 100.0 100.0
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
346,060
10,008
8,951
100.0
76.5
22.3
0.6
0.6
1,145 1,923 4,433 37,224 23,149 57,822 8,605 1,027 44,725 90,603 99,639 9,241 35,582 1,509
634 555 4,140 11,446 5,979 21,961 2,280 228 16,775 30,448 28,517 3,314 14,778 912
6 28 42 397 128 513 73 12 473 726 728 45 205 7
12 20 35 332 116 684 52 6 399 858 745 105 189 18
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
63.7 76.1 51.2 75.4 78.8 71.4 78.2 80.7 71.7 73.9 76.9 72.7 70.1 61.7
35.3 22.0 47.9 23.2 20.4 27.1 20.7 17.9 26.9 24.8 22.0 26.1 29.1 37.3
0.3 1.1 0.5 0.8 0.4 0.6 0.7 0.9 0.8 0.6 0.6 0.4 0.4 0.3
0.7 0.8 0.4 0.7 0.4 0.8 0.5 0.5 0.6 0.7 0.6 0.8 0.4 0.7
13,604 19,267
9,957 15,772
3,478 3,233
93 152
76 110
100.0 100.0
73.2 81.9
25.6 16.8
0.7 0.8
0.6 0.6
1.0
16,068
10,734
5,157
93
84
100.0
66.8
32.1
0.6
0.5
0.0
0.0
2,419
1,549
717
8
145
100.0
64.0
29.6
0.3
6.0
28.3 23.4 79.3
0.5 0.6 0.0
0.4 0.6 0.0
9,713 200,956 565
7,969 146,831 407
1,598 52,122 145
57 1,033 3
89 970 10
100.0 100.0 100.0
82.0 73.1 72.0
16.5 25.9 25.7
0.6 0.5 0.5
0.9 0.5 1.8
71.7 95.3 94.3 91.5 50.2 91.0
27.6 3.8 3.9 6.7 49.0 8.4
0.1 0.6 1.0 1.2 0.3 0.0
0.5 0.3 0.8 0.6 0.4 0.6
34,485 238,353 40,274 38,885 34,205 2,147
21,707 213,428 35,804 35,392 26,156 1,464
12,509 21,956 3,607 2,857 7,679 677
141 1,274 503 470 250 3
128 1,695 360 166 120 3
100.0 100.0 100.0 100.0 100.0 100.0
62.9 89.5 88.9 91.0 76.5 68.2
36.3 9.2 9.0 7.3 22.4 31.5
0.4 0.5 1.2 1.2 0.7 0.1
0.4 0.7 0.9 0.4 0.4 0.1
100.0 100.0
69.5 36.5
29.3 63.5
0.6 0.0
0.6 0.0
518,884 554
377,166 266
135,297 284
3,744 0
2,677 4
100.0 100.0
72.7 48.0
26.1 51.3
0.7 0.0
0.5 0.7
100.0 100.0
82.2 75.8
16.3 22.8
0.4 0.6
1.1 0.8
-
-
-
-
-
-
-
-
-
-
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
CRIME IN THE UNITED STATES (BERNAN PRESS)
360
Table 56. Arrest Trends for Nonmetropolitan Counties, 2006–2007 (Number, percent change; 1,726 agencies; 2007 estimated population 19,255,893; 2006 estimated population 19,326,699.) Number of persons arrested Total all ages
Offense charged 2006 TOTAL1 ..................................................................................... Murder and nonnegligent manslaughter................................ Forcible rape.............................................................................. Robbery ..................................................................................... Aggravated assault.................................................................... Burglary ..................................................................................... Larceny-theft ............................................................................. Motor vehicle theft ................................................................... Arson .......................................................................................... Violent crime2 ........................................................................ Property crime2 ..................................................................... Other assaults ............................................................................ Forgery and counterfeiting ...................................................... Fraud........................................................................................... Embezzlement........................................................................... Stolen property; buying, receiving, possessing....................... Vandalism................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice..................................... Sex offenses (except forcible rape and prostitution) ............ Drug abuse violations............................................................... Gambling.................................................................................... Offenses against the family and children ............................... Driving under the influence..................................................... Liquor laws ................................................................................ Drunkenness.............................................................................. Disorderly conduct ................................................................... Vagrancy..................................................................................... All other offenses (except traffic)........................................... Suspicion .................................................................................... Curfew and loitering law violations ........................................ Runaways................................................................................... 1 Does
719,810 561 1,436 1,725 19,021 16,493 29,114 4,312 850 22,743 50,769 67,017 4,361 28,353 749 4,513 12,629 6,607 154 5,008 83,594 388 12,094 120,568 32,415 18,786 20,712 194 224,170 70 484 3,502
-3.9 -8.0 -7.2 -6.3 -4.5 -7.4 -0.2 -15.9 -10.8 -4.9 -4.3 -2.5 -13.2 -13.6 -3.7 -2.6 -3.6 -4.2 -20.6 +0.9 -6.4 -16.9 +1.4 -2.7 -4.2 +2.3 +0.5 +2.6 -3.3 -58.3 -13.7 -8.1
2006 66,319 20 233 196 1,814 4,181 4,784 1,096 296 2,263 10,357 8,832 121 310 23 568 3,919 854 5 879 6,160 14 330 1,962 8,482 439 4,515 21 11,892 24 561 3,812
2007 61,968 29 212 203 1,661 3,707 4,946 980 197 2,105 9,830 8,451 106 300 16 483 3,550 787 5 953 5,524 7 365 1,724 8,077 465 4,321 8 10,905 27 484 3,502
18 years of age and over Percent change -6.6 +45.0 -9.0 +3.6 -8.4 -11.3 +3.4 -10.6 -33.4 -7.0 -5.1 -4.3 -12.4 -3.2 -30.4 -15.0 -9.4 -7.8 0.0 +8.4 -10.3 -50.0 +10.6 -12.1 -4.8 +5.9 -4.3 -61.9 -8.3 +12.5 -13.7 -8.1
2006 682,775 590 1,315 1,645 18,108 13,631 24,397 4,034 657 21,658 42,719 59,936 4,903 32,516 755 4,064 9,183 6,044 189 4,085 83,138 453 11,594 121,976 25,358 17,930 16,095 168 220,011 144 -
2007 657,842 532 1,224 1,522 17,360 12,786 24,168 3,332 653 20,638 40,939 58,566 4,255 28,053 733 4,030 9,079 5,820 149 4,055 78,070 381 11,729 118,844 24,338 18,321 16,391 186 213,265 43 -
Percent change -3.7 -9.8 -6.9 -7.5 -4.1 -6.2 -0.9 -17.4 -0.6 -4.7 -4.2 -2.3 -13.2 -13.7 -2.9 -0.8 -1.1 -3.7 -21.2 -0.7 -6.1 -15.9 +1.2 -2.6 -4.0 +2.2 +1.8 +10.7 -3.1 -70.1 -
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson.
749,094 610 1,548 1,841 19,922 17,812 29,181 5,130 953 23,921 53,076 68,768 5,024 32,826 778 4,632 13,102 6,898 194 4,964 89,298 467 11,924 123,938 33,840 18,369 20,610 189 231,903 168 561 3,812
2007
Under 18 years of age Percent change
SECTION IV: PERSONS ARRESTED 361 Table 57. Arrest Trends for Nonmetropolitan Counties, by Age and Sex, 2006–2007 (Number, percent; 1,726 agencies; 2007 estimated population 19,255,893; 2006 estimated population 19,326,699.) Male Offense charged
TOTAL1 .................................................................................... Murder and nonnegligent manslaughter .............................. Forcible rape ............................................................................ Robbery .................................................................................... Aggravated assault .................................................................. Burglary .................................................................................... Larceny-theft............................................................................ Motor vehicle theft .................................................................. Arson......................................................................................... Violent crime2 ...................................................................... Property crime2 .................................................................... Other assaults........................................................................... Forgery and counterfeiting ..................................................... Fraud ......................................................................................... Embezzlement.......................................................................... Stolen property; buying, receiving, possessing...................... Vandalism ................................................................................. Weapons; carrying, possessing, etc. ........................................ Prostitution and commercialized vice ................................... Sex offenses (except forcible rape and prostitution)........... Drug abuse violations ............................................................. Gambling .................................................................................. Offenses against the family and children.............................. Driving under the influence ................................................... Liquor laws ............................................................................... Drunkenness ............................................................................ Disorderly conduct .................................................................. Vagrancy ................................................................................... All other offenses (except traffic) ......................................... Suspicion................................................................................... Curfew and loitering law violations....................................... Runaways ................................................................................. 1 Does
2006
2007
576,128 527 1,525 1,609 16,258 15,488 20,802 4,206 806 19,919 41,302 51,634 2,854 16,649 373 3,807 10,814 6,340 113 4,674 70,484 382 9,554 100,574 24,896 15,177 15,263 153 179,146 141 403 1,617
552,715 480 1,410 1,531 15,544 14,433 20,658 3,548 727 18,965 39,366 50,449 2,502 14,357 368 3,711 10,523 6,047 101 4,715 65,947 305 9,646 97,276 23,292 15,383 15,290 143 172,434 55 308 1,587
Under 18 Percent change -4.1 -8.9 -7.5 -4.8 -4.4 -6.8 -0.7 -15.6 -9.8 -4.8 -4.7 -2.3 -12.3 -13.8 -1.3 -2.5 -2.7 -4.6 -10.6 +0.9 -6.4 -20.2 +1.0 -3.3 -6.4 +1.4 +0.2 -6.5 -3.7 -61.0 -23.6 -1.9
2006
2007
48,133 16 229 181 1,406 3,785 3,483 871 253 1,832 8,392 5,945 71 203 13 498 3,350 767 4 792 4,892 12 241 1,516 5,447 327 3,122 16 8,673 20 403 1,617
44,921 22 203 183 1,346 3,389 3,564 762 177 1,754 7,892 5,823 69 174 12 419 3,063 704 5 876 4,383 6 248 1,338 4,934 342 3,058 5 7,921 19 308 1,587
Total Percent change -6.7 +37.5 -11.4 +1.1 -4.3 -10.5 +2.3 -12.5 -30.0 -4.3 -6.0 -2.1 -2.8 -14.3 -7.7 -15.9 -8.6 -8.2 +25.0 +10.6 -10.4 -50.0 +2.9 -11.7 -9.4 +4.6 -2.0 -68.8 -8.7 -5.0 -23.6 -1.9
2006
2007
172,966 83 23 232 3,664 2,324 8,379 924 147 4,002 11,774 17,134 2,170 16,177 405 825 2,288 558 81 290 18,814 85 2,370 23,364 8,944 3,192 5,347 36 52,757 27 158 2,195
167,095 81 26 194 3,477 2,060 8,456 764 123 3,778 11,403 16,568 1,859 13,996 381 802 2,106 560 53 293 17,647 83 2,448 23,292 9,123 3,403 5,422 51 51,736 15 176 1,915
Under 18 Percent change -3.4 -2.4 +13.0 -16.4 -5.1 -11.4 +0.9 -17.3 -16.3 -5.6 -3.2 -3.3 -14.3 -13.5 -5.9 -2.8 -8.0 +0.4 -34.6 +1.0 -6.2 -2.4 +3.3 -0.3 +2.0 +6.6 +1.4 +41.7 -1.9 -44.4 +11.4 -12.8
2006
2007
18,186 4 4 15 408 396 1,301 225 43 431 1,965 2,887 50 107 10 70 569 87 1 87 1,268 2 89 446 3,035 112 1,393 5 3,219 4 158 2,195
17,047 7 9 20 315 318 1,382 218 20 351 1,938 2,628 37 126 4 64 487 83 0 77 1,141 1 117 386 3,143 123 1,263 3 2,984 8 176 1,915
Percent change -6.3 +75.0 +125.0 +33.3 -22.8 -19.7 +6.2 -3.1 -53.5 -18.6 -1.4 -9.0 -26.0 +17.8 -60.0 -8.6 -14.4 -4.6 -100.0 -11.5 -10.0 -50.0 +31.5 -13.5 +3.6 +9.8 -9.3 -40.0 -7.3 +100.0 +11.4 -12.8
not include suspicion. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
2 Violent
arson.
Female
Total
362
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 58. Arrests in Nonmetropolitan Counties, Distribution by Age, 2007 (Number, percent; 1,932 agencies; 2007 estimated population 20,739,857.) Offense charged
TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
Total all ages
Ages under 15
Ages under 18
Ages 18 and over
Under 10
10–12
13–14
15
16
17
18
19
20
762,782 100.0 620 1,485 1,936 19,593 18,135 30,868 4,602 884 23,634 100.0 54,489 100.0 70,406 4,823 27,984 915
15,462 2.0 6 52 20 503 977 1,446 241 95 581 2.5 2,759 5.1 2,965 12 49 2
67,295 8.8 37 202 225 1,763 4,079 5,197 1,077 194 2,227 9.4 10,547 19.4 9,049 102 345 17
695,487 91.2 583 1,283 1,711 17,830 14,056 25,671 3,525 690 21,407 90.6 43,942 80.6 61,357 4,721 27,639 898
1,003 0.1 0 0 1 19 48 64 7 16 20 0.1 135 0.2 147 3 14 0
3,262 0.4 2 11 2 122 216 301 38 34 137 0.6 589 1.1 733 5 4 1
11,197 1.5 4 41 17 362 713 1,081 196 45 424 1.8 2,035 3.7 2,085 4 31 1
11,245 1.5 6 37 29 280 718 979 233 21 352 1.5 1,951 3.6 1,660 10 37 1
16,626 2.2 10 48 68 434 985 1,254 277 35 560 2.4 2,551 4.7 2,171 21 88 5
23,962 3.1 15 65 108 546 1,399 1,518 326 43 734 3.1 3,286 6.0 2,253 59 171 9
33,808 4.4 27 76 182 680 1,568 1,949 282 62 965 4.1 3,861 7.1 2,237 144 439 21
35,394 4.6 29 68 144 696 1,319 1,619 266 65 937 4.0 3,269 6.0 2,078 185 656 29
34,656 4.5 34 69 142 692 1,143 1,457 198 43 937 4.0 2,841 5.2 2,215 192 779 36
5,097 13,065 7,185 161
102 1,332 294 1
544 3,723 888 6
4,553 9,342 6,297 155
1 115 26 0
15 359 79 0
86 858 189 1
89 663 171 0
153 802 169 4
200 926 254 1
294 908 342 5
314 805 302 0
251 619 272 4
5,557 90,478 302
437 712 2
1,060 5,915 7
4,497 84,563 295
29 70 1
112 84 0
296 558 1
184 789 2
181 1,473 1
258 2,941 2
252 5,247 16
225 5,427 9
207 5,300 11
12,840 138,117 36,078 18,411 23,525 217 225,407 73 408 3,610
161 143 689 38 1,657 2 2,430 9 105 980
389 1,979 8,817 473 5,038 10 12,119 22 408 3,610
12,451 136,138 27,261 17,938 18,487 207 213,288 51 -
46 122 11 1 126 0 114 0 5 17
35 1 50 3 419 0 479 0 12 145
80 20 628 34 1,112 2 1,837 9 88 818
61 59 1,233 72 948 3 1,890 2 98 970
62 484 2,518 120 1,211 3 2,860 7 109 1,073
105 1,293 4,377 243 1,222 2 4,939 4 96 587
233 3,078 6,444 608 1,052 7 7,651 4 -
241 4,219 6,282 644 886 6 8,876 4 -
242 4,517 5,343 686 788 6 9,409 1 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 363 Table 58. Arrests in Nonmetropolitan Counties, Distribution by Age, 2007 (Contd.) (Number, percent; 1,932 agencies; 2007 estimated population 20,739,857.) Offense charged TOTAL ............................................................... Total percent distribution1 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime2 ................................................ Violent crime percent distribution1 ......... Property crime2 .............................................. Property crime percent distribution1 ....... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65 and over
21
22
23
24
25–29
31,364 4.1 27 63 128 680 873 1,282 189 30 898 3.8 2,374 4.4 2,260 211 824 30
29,846 3.9 27 51 108 676 687 1,155 172 23 862 3.6 2,037 3.7 2,248 178 838 37
28,041 3.7 22 47 102 698 622 1,058 152 22 869 3.7 1,854 3.4 2,233 197 870 24
27,315 3.6 28 52 70 668 578 989 137 9 818 3.5 1,713 3.1 2,101 198 930 21
117,309 15.4 102 191 284 2,965 2,263 4,386 647 111 3,542 15.0 7,407 13.6 10,229 958 5,058 124
84,906 11.1 69 164 205 2,247 1,510 3,050 425 75 2,685 11.4 5,060 9.3 8,081 733 4,516 95
78,431 10.3 52 164 136 2,112 1,314 2,804 383 66 2,464 10.4 4,567 8.4 8,019 631 4,211 152
71,204 9.3 48 119 94 1,997 942 2,354 314 67 2,258 9.6 3,677 6.7 7,422 545 3,247 84
57,779 7.6 40 79 68 1,706 683 1,760 191 49 1,893 8.0 2,683 4.9 5,736 282 2,430 182
33,140 4.3 27 51 30 939 316 897 91 34 1,047 4.4 1,338 2.5 3,189 150 1,444 33
17,147 2.2 28 51 12 519 147 488 45 17 610 2.6 697 1.3 1,608 77 764 17
8,158 1.1 10 19 4 279 47 224 19 9 312 1.3 299 0.5 850 21 356 7
6,989 0.9 13 19 2 276 44 199 14 8 310 1.3 265 0.5 851 19 277 6
234 585 297 4
209 503 287 5
179 382 262 3
191 414 260 6
775 1,459 1,004 17
615 977 761 19
515 788 631 19
405 705 557 20
310 570 529 17
132 292 341 12
70 173 225 8
27 65 114 7
32 97 113 9
181 4,830 16
158 4,480 13
155 4,109 7
142 3,917 9
583 15,478 44
469 9,540 39
529 7,947 27
488 7,041 28
381 5,924 25
266 3,239 19
184 1,308 20
127 532 8
150 244 4
323 6,118 933 760 913 11 9,559 3 -
321 6,054 682 749 868 7 9,307 3 -
340 5,802 495 731 749 8 8,767 5 -
401 5,525 471 672 737 3 8,785 1 -
2,287 22,338 1,533 2,790 2,839 28 38,809 7 -
2,151 15,557 1,060 1,969 2,013 23 28,539 4 -
2,156 14,910 1,049 2,003 2,004 25 25,777 7 -
1,767 15,189 1,009 2,099 2,033 24 22,602 4 -
1,108 13,800 894 1,949 1,671 26 17,367 2 -
536 8,989 536 1,225 963 23 9,363 3 -
189 5,265 272 622 471 7 4,559 1 -
81 2,662 138 255 246 2 2,049 0 -
75 2,115 120 176 254 1 1,869 2 -
Because of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
364
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 59. Arrests in Nonmetropolitan Counties of Persons Under 15, 18, 21, and 25 Years of Age, 2007 (Number, percent; 1,932 agencies; 2007 estimated population 20,739,857.) Number of persons arrested Offense charged
Under 15 TOTAL ....................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime1 ........................................................................ Property crime1 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. .......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1 Violent
arson.
Percent of total all ages
Total all ages 762,782 620 1,485 1,936 19,593 18,135 30,868 4,602 884 23,634 54,489 70,406 4,823 27,984 915 5,097 13,065 7,185 161 5,557 90,478 302 12,840 138,117 36,078 18,411 23,525 217 225,407 73 408 3,610
15,462 6 52 20 503 977 1,446 241 95 581 2,759 2,965 12 49 2 102 1,332 294 1 437 712 2 161 143 689 38 1,657 2 2,430 9 105 980
Under 18 67,295 37 202 225 1,763 4,079 5,197 1,077 194 2,227 10,547 9,049 102 345 17 544 3,723 888 6 1,060 5,915 7 389 1,979 8,817 473 5,038 10 12,119 22 408 3,610
Under 21 171,153 127 415 693 3,831 8,109 10,222 1,823 364 5,066 20,518 15,579 623 2,219 103 1,403 6,055 1,804 15 1,744 21,889 43 1,105 13,793 26,886 2,411 7,764 29 38,055 31 408 3,610
Under 25 287,719 231 628 1,101 6,553 10,869 14,706 2,473 448 8,513 28,496 24,421 1,407 5,681 215 2,216 7,939 2,910 33 2,380 39,225 88 2,490 37,292 29,467 5,323 11,031 58 74,473 43 408 3,610
Under 15 2.0 1.0 3.5 1.0 2.6 5.4 4.7 5.2 10.7 2.5 5.1 4.2 0.2 0.2 0.2 2.0 10.2 4.1 0.6 7.9 0.8 0.7 1.3 0.1 1.9 0.2 7.0 0.9 1.1 12.3 25.7 27.1
Under 18 8.8 6.0 13.6 11.6 9.0 22.5 16.8 23.4 21.9 9.4 19.4 12.9 2.1 1.2 1.9 10.7 28.5 12.4 3.7 19.1 6.5 2.3 3.0 1.4 24.4 2.6 21.4 4.6 5.4 30.1 100.0 100.0
Under 21 22.4 20.5 27.9 35.8 19.6 44.7 33.1 39.6 41.2 21.4 37.7 22.1 12.9 7.9 11.3 27.5 46.3 25.1 9.3 31.4 24.2 14.2 8.6 10.0 74.5 13.1 33.0 13.4 16.9 42.5 100.0 100.0
Under 25 37.7 37.3 42.3 56.9 33.4 59.9 47.6 53.7 50.7 36.0 52.3 34.7 29.2 20.3 23.5 43.5 60.8 40.5 20.5 42.8 43.4 29.1 19.4 27.0 81.7 28.9 46.9 26.7 33.0 58.9 100.0 100.0
crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
SECTION IV: PERSONS ARRESTED 365 Table 60. Arrests in Nonmetropolitan Counties, Distribution by Sex, 2007 (Number, percent; 1,932 agencies; 2007 estimated population 20,739,857.) Percent distribution1
Number of persons arrested Offense charged Total TOTAL .................................................................................................................. Murder and nonnegligent manslaughter ........................................................... Forcible rape ......................................................................................................... Robbery................................................................................................................. Aggravated assault ............................................................................................... Burglary................................................................................................................. Larceny-theft ........................................................................................................ Motor vehicle theft............................................................................................... Arson ..................................................................................................................... Violent crime2 ................................................................................................... Property crime2 ................................................................................................. Other assaults ....................................................................................................... Forgery and counterfeiting.................................................................................. Fraud...................................................................................................................... Embezzlement ...................................................................................................... Stolen property; buying, receiving, possessing .................................................. Vandalism .............................................................................................................. Weapons; carrying, possessing, etc...................................................................... Prostitution and commercialized vice................................................................ Sex offenses (except forcible rape and prostitution) ....................................... Drug abuse violations .......................................................................................... Gambling............................................................................................................... Offenses against the family and children........................................................... Driving under the influence ................................................................................ Liquor laws............................................................................................................ Drunkenness ......................................................................................................... Disorderly conduct............................................................................................... Vagrancy ................................................................................................................ All other offenses (except traffic) ...................................................................... Suspicion ............................................................................................................... Curfew and loitering law violations ................................................................... Runaways .............................................................................................................. 1 Because 2 Violent
762,782 620 1,485 1,936 19,593 18,135 30,868 4,602 884 23,634 54,489 70,406 4,823 27,984 915 5,097 13,065 7,185 161 5,557 90,478 302 12,840 138,117 36,078 18,411 23,525 217 225,407 73 408 3,610
Male 587,540 538 1,451 1,719 16,075 15,868 22,058 3,784 746 19,783 42,456 53,036 2,780 14,347 389 4,189 10,876 6,574 106 5,241 71,539 225 10,268 111,183 25,770 15,133 17,287 162 174,231 60 256 1,649
Female 175,242 82 34 217 3,518 2,267 8,810 818 138 3,851 12,033 17,370 2,043 13,637 526 908 2,189 611 55 316 18,939 77 2,572 26,934 10,308 3,278 6,238 55 51,176 13 152 1,961
Percent male 77.0 86.8 97.7 88.8 82.0 87.5 71.5 82.2 84.4 83.7 77.9 75.3 57.6 51.3 42.5 82.2 83.2 91.5 65.8 94.3 79.1 74.5 80.0 80.5 71.4 82.2 73.5 74.7 77.3 82.2 62.7 45.7
Percent female 23.0 13.2 2.3 11.2 18.0 12.5 28.5 17.8 15.6 16.3 22.1 24.7 42.4 48.7 57.5 17.8 16.8 8.5 34.2 5.7 20.9 25.5 20.0 19.5 28.6 17.8 26.5 25.3 22.7 17.8 37.3 54.3
Total 100.0 0.1 0.2 0.3 2.6 2.4 4.0 0.6 0.1 3.1 7.1 9.2 0.6 3.7 0.1 0.7 1.7 0.9 * 0.7 11.9 * 1.7 18.1 4.7 2.4 3.1 * 29.6 * 0.1 0.5
Male 100.0 0.1 0.2 0.3 2.7 2.7 3.8 0.6 0.1 3.4 7.2 9.0 0.5 2.4 0.1 0.7 1.9 1.1 * 0.9 12.2 * 1.7 18.9 4.4 2.6 2.9 * 29.7 * * 0.3
Female 100.0 * * 0.1 2.0 1.3 5.0 0.5 0.1 2.2 6.9 9.9 1.2 7.8 0.3 0.5 1.2 0.3 * 0.2 10.8 * 1.5 15.4 5.9 1.9 3.6 * 29.2 * 0.1 1.1
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
arson. * = Less than one-tenth of 1 percent.
CRIME IN THE UNITED STATES (BERNAN PRESS)
366
Table 61. Arrests in Nonmetropolitan Counties, Distribution by Race, 2007 (Number, percent; 1,932 agencies; 2007 estimated population 20,739,857.) Percent distribution1
Total arrests Offense charged
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ............................... Property crime2 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
Black
758,377
622,389
109,487
23,533
2,968
100.0
82.1
14.4
3.1
0.4
66,860
54,253
9,509
2,907
191
618 1,479 1,931 19,507 18,083 30,719 4,585 880 23,535 54,267 70,147 4,801 27,897 911
425 1,220 1,001 14,724 14,821 25,283 3,742 752 17,370 44,598 55,905 3,904 21,932 790
164 217 860 3,770 2,561 4,494 615 100 5,011 7,770 11,522 835 5,630 114
27 38 68 966 660 874 212 25 1,099 1,771 2,571 53 279 4
2 4 2 47 41 68 16 3 55 128 149 9 56 3
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
68.8 82.5 51.8 75.5 82.0 82.3 81.6 85.5 73.8 82.2 79.7 81.3 78.6 86.7
26.5 14.7 44.5 19.3 14.2 14.6 13.4 11.4 21.3 14.3 16.4 17.4 20.2 12.5
4.4 2.6 3.5 5.0 3.6 2.8 4.6 2.8 4.7 3.3 3.7 1.1 1.0 0.4
0.3 0.3 0.1 0.2 0.2 0.2 0.3 0.3 0.2 0.2 0.2 0.2 0.2 0.3
37 202 225 1,753 4,068 5,161 1,074 193 2,217 10,496 9,002 100 339 17
24 167 89 1,222 3,371 4,332 887 171 1,502 8,761 6,467 86 289 13
7 25 119 431 527 671 91 15 582 1,304 2,207 9 46 3
6 8 17 96 167 151 85 5 127 408 316 5 4 1
0 2 0 4 3 7 11 2 6 23 12 0 0 0
5,068 13,007
3,983 10,985
937 1,475
132 517
16 30
100.0 100.0
78.6 84.5
18.5 11.3
2.6 4.0
0.3 0.2
537 3,702
404 3,212
113 325
17 159
3 6
7,157
5,380
1,516
231
30
100.0
75.2
21.2
3.2
0.4
883
600
222
58
3
161
133
20
7
1
100.0
82.6
12.4
4.3
0.6
6
6
0
0
0
5,545 90,008 302
4,791 71,983 173
617 16,107 121
121 1,551 3
16 367 5
100.0 100.0 100.0
86.4 80.0 57.3
11.1 17.9 40.1
2.2 1.7 1.0
0.3 0.4 1.7
1,056 5,872 7
904 4,990 5
130 717 2
21 152 0
1 13 0
12,786 136,917 35,715 18,317 23,412 215
9,009 124,267 32,972 16,084 18,012 152
3,007 7,748 1,400 1,357 4,282 58
752 3,682 1,174 831 1,071 5
18 1,220 169 45 47 0
100.0 100.0 100.0 100.0 100.0 100.0
70.5 90.8 92.3 87.8 76.9 70.7
23.5 5.7 3.9 7.4 18.3 27.0
5.9 2.7 3.3 4.5 4.6 2.3
0.1 0.9 0.5 0.2 0.2 0.0
389 1,962 8,743 471 5,026 10
316 1,834 8,202 414 3,217 8
69 46 125 19 1,505 2
4 67 384 35 296 0
0 15 32 3 8 0
224,138 71
176,500 52
39,529 19
7,521 0
588 0
100.0 100.0
78.7 73.2
17.6 26.8
3.4 0.0
0.3 0.0
12,003 22
9,589 20
1,669 2
695 0
50 0
405 3,595
346 3,068
26 386
33 125
0 16
100.0 100.0
85.4 85.3
6.4 10.7
8.1 3.5
0.0 0.4
405 3,595
346 3,068
26 386
33 125
0 16
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
SECTION IV: PERSONS ARRESTED 367 Table 61. Arrests in Nonmetropolitan Counties, Distribution by Race, 2007 (Contd.) (Number, percent; 1,932 agencies; 2007 estimated population 20,739,857.) Percent distribution1 Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime2 ............................... Property crime2 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Because 2 Violent
arson.
White
Black
Percent distribution1
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
100.0
81.1
14.2
4.3
0.3
691,517
568,136
99,978
20,626
2,777
100.0
82.2
14.5
3.0
0.4
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
64.9 82.7 39.6 69.7 82.9 83.9 82.6 88.6 67.7 83.5 71.8 86.0 85.3 76.5
18.9 12.4 52.9 24.6 13.0 13.0 8.5 7.8 26.3 12.4 24.5 9.0 13.6 17.6
16.2 4.0 7.6 5.5 4.1 2.9 7.9 2.6 5.7 3.9 3.5 5.0 1.2 5.9
0.0 1.0 0.0 0.2 0.1 0.1 1.0 1.0 0.3 0.2 0.1 0.0 0.0 0.0
581 1,277 1,706 17,754 14,015 25,558 3,511 687 21,318 43,771 61,145 4,701 27,558 894
401 1,053 912 13,502 11,450 20,951 2,855 581 15,868 35,837 49,438 3,818 21,643 777
157 192 741 3,339 2,034 3,823 524 85 4,429 6,466 9,315 826 5,584 111
21 30 51 870 493 723 127 20 972 1,363 2,255 48 275 3
2 2 2 43 38 61 5 1 49 105 137 9 56 3
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
69.0 82.5 53.5 76.1 81.7 82.0 81.3 84.6 74.4 81.9 80.9 81.2 78.5 86.9
27.0 15.0 43.4 18.8 14.5 15.0 14.9 12.4 20.8 14.8 15.2 17.6 20.3 12.4
3.6 2.3 3.0 4.9 3.5 2.8 3.6 2.9 4.6 3.1 3.7 1.0 1.0 0.3
0.3 0.2 0.1 0.2 0.3 0.2 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.3
100.0 100.0
75.2 86.8
21.0 8.8
3.2 4.3
0.6 0.2
4,531 9,305
3,579 7,773
824 1,150
115 358
13 24
100.0 100.0
79.0 83.5
18.2 12.4
2.5 3.8
0.3 0.3
100.0
68.0
25.1
6.6
0.3
6,274
4,780
1,294
173
27
100.0
76.2
20.6
2.8
0.4
100.0
100.0
0.0
0.0
0.0
155
127
20
7
1
100.0
81.9
12.9
4.5
0.6
100.0 100.0 100.0
85.6 85.0 71.4
12.3 12.2 28.6
2.0 2.6 0.0
0.1 0.2 0.0
4,489 84,136 295
3,887 66,993 168
487 15,390 119
100 1,399 3
15 354 5
100.0 100.0 100.0
86.6 79.6 56.9
10.8 18.3 40.3
2.2 1.7 1.0
0.3 0.4 1.7
100.0 100.0 100.0 100.0 100.0 100.0
81.2 93.5 93.8 87.9 64.0 80.0
17.7 2.3 1.4 4.0 29.9 20.0
1.0 3.4 4.4 7.4 5.9 0.0
0.0 0.8 0.4 0.6 0.2 0.0
12,397 134,955 26,972 17,846 18,386 205
8,693 122,433 24,770 15,670 14,795 144
2,938 7,702 1,275 1,338 2,777 56
748 3,615 790 796 775 5
18 1,205 137 42 39 0
100.0 100.0 100.0 100.0 100.0 100.0
70.1 90.7 91.8 87.8 80.5 70.2
23.7 5.7 4.7 7.5 15.1 27.3
6.0 2.7 2.9 4.5 4.2 2.4
0.1 0.9 0.5 0.2 0.2 0.0
100.0 100.0
79.9 90.9
13.9 9.1
5.8 0.0
0.4 0.0
212,135 49
166,911 32
37,860 17
6,826 0
538 0
100.0 100.0
78.7 65.3
17.8 34.7
3.2 0.0
0.3 0.0
100.0 100.0
85.4 85.3
6.4 10.7
8.1 3.5
0.0 0.4
-
-
-
-
-
-
-
-
-
-
of rounding, the percentages may not add to 100.0. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and
368
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 62. Arrest Trends for Suburban Areas,1 2006–2007 (Number, percent change; 5,627 agencies; 2007 estimated population 86,451,220; 2006 estimated population 85,771,943.) Number of persons arrested Total all ages
Offense charged
TOTAL2 ..................................................................................... Murder and nonnegligent manslaughter................................ Forcible rape.............................................................................. Robbery ..................................................................................... Aggravated assault.................................................................... Burglary ..................................................................................... Larceny-theft ............................................................................. Motor vehicle theft ................................................................... Arson .......................................................................................... Violent crime3 ........................................................................ Property crime3 ..................................................................... Other assaults ............................................................................ Forgery and counterfeiting ...................................................... Fraud........................................................................................... Embezzlement........................................................................... Stolen property; buying, receiving, possessing....................... Vandalism................................................................................... Weapons; carrying, possessing, etc. ......................................... Prostitution and commercialized vice..................................... Sex offenses (except forcible rape and prostitution) ............ Drug abuse violations............................................................... Gambling.................................................................................... Offenses against the family and children ............................... Driving under the influence..................................................... Liquor laws ................................................................................ Drunkenness.............................................................................. Disorderly conduct ................................................................... Vagrancy..................................................................................... All other offenses (except traffic)........................................... Suspicion .................................................................................... Curfew and loitering law violations ........................................ Runaways................................................................................... 1 Suburban
2006
2007
3,589,277 2,501 5,716 21,736 99,478 72,004 254,739 26,496 4,507 129,431 357,746 311,190 27,164 94,404 4,922 32,322 74,696 41,086 4,509 20,161 424,785 1,000 45,128 434,043 166,320 123,790 168,855 5,334 1,078,610 936 19,466 24,315
3,571,566 2,404 5,409 21,435 98,278 71,873 275,144 22,924 4,239 127,526 374,180 313,597 24,625 83,694 5,336 30,326 72,346 39,101 4,441 19,900 417,756 1,046 45,573 435,750 165,346 130,843 168,648 4,272 1,063,577 925 19,748 23,935
Under 18 years of age Percent change -0.5 -3.9 -5.4 -1.4 -1.2 -0.2 +8.0 -13.5 -5.9 -1.5 +4.6 +0.8 -9.3 -11.3 +8.4 -6.2 -3.1 -4.8 -1.5 -1.3 -1.7 +4.6 +1.0 +0.4 -0.6 +5.7 -0.1 -19.9 -1.4 -1.2 +1.4 -1.6
2006 549,133 193 898 5,702 14,136 20,571 65,740 6,147 2,332 20,929 94,790 66,104 953 2,014 379 5,483 31,787 11,056 109 4,215 50,137 131 1,551 5,640 42,635 5,026 56,782 631 105,000 166 19,466 24,315
2007 537,524 199 902 5,459 13,554 19,529 69,614 5,301 2,184 20,114 96,628 64,258 818 1,961 427 5,427 30,163 9,981 106 4,035 50,149 109 1,847 5,330 41,861 4,959 54,124 582 100,962 148 19,748 23,935
18 years of age and over Percent change -2.1 +3.1 +0.4 -4.3 -4.1 -5.1 +5.9 -13.8 -6.3 -3.9 +1.9 -2.8 -14.2 -2.6 +12.7 -1.0 -5.1 -9.7 -2.8 -4.3 * -16.8 +19.1 -5.5 -1.8 -1.3 -4.7 -7.8 -3.8 -10.8 +1.4 -1.6
2006
2007
3,040,144 2,308 4,818 16,034 85,342 51,433 188,999 20,349 2,175 108,502 262,956 245,086 26,211 92,390 4,543 26,839 42,909 30,030 4,400 15,946 374,648 869 43,577 428,403 123,685 118,764 112,073 4,703 973,610 770 -
3,034,042 2,205 4,507 15,976 84,724 52,344 205,530 17,623 2,055 107,412 277,552 249,339 23,807 81,733 4,909 24,899 42,183 29,120 4,335 15,865 367,607 937 43,726 430,420 123,485 125,884 114,524 3,690 962,615 777 -
Percent change -0.2 -4.5 -6.5 -0.4 -0.7 +1.8 +8.7 -13.4 -5.5 -1.0 +5.6 +1.7 -9.2 -11.5 +8.1 -7.2 -1.7 -3.0 -1.5 -0.5 -1.9 +7.8 +0.3 +0.5 -0.2 +6.0 +2.2 -21.5 -1.1 +0.9 -
area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Does not include suspicion. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
SECTION IV: PERSONS ARRESTED 369 Table 63. Arrest Trends for Suburban Areas,1 by Age and Sex, 2006–2007 (Number, percent change; 5,627 agencies; 2007 estimated population 86,451,220; 2006 estimated population 85,771,943.) Male
Female
Total
Offense charged 2006
2007
TOTAL2 .................................................................................... 2,733,568 2,702,863 Murder and nonnegligent manslaughter .............................. 2,186 2,141 Forcible rape ............................................................................ 5,635 5,353 Robbery .................................................................................... 19,465 19,039 Aggravated assault .................................................................. 79,699 78,049 Burglary .................................................................................... 62,213 62,110 Larceny-theft............................................................................ 160,621 167,611 Motor vehicle theft .................................................................. 21,692 18,714 Arson......................................................................................... 3,811 3,641 3 Violent crime ...................................................................... 106,985 104,582 3 Property crime .................................................................... 248,337 252,076 Other assaults........................................................................... 231,700 232,677 Forgery and counterfeiting ..................................................... 16,609 15,028 Fraud ......................................................................................... 50,251 45,021 Embezzlement.......................................................................... 2,318 2,557 Stolen property; buying, receiving, possessing...................... 26,089 24,192 Vandalism ................................................................................. 63,348 60,766 Weapons; carrying, possessing, etc. ........................................ 37,740 35,967 Prostitution and commercialized vice ................................... 1,951 1,785 Sex offenses (except forcible rape and prostitution)........... 18,981 18,710 Drug abuse violations ............................................................. 341,172 334,568 Gambling .................................................................................. 829 866 Offenses against the family and children.............................. 36,364 36,393 Driving under the influence ................................................... 345,550 343,939 Liquor laws ............................................................................... 119,305 117,843 Drunkenness ............................................................................ 102,833 107,768 Disorderly conduct .................................................................. 124,529 123,780 Vagrancy ................................................................................... 4,005 3,301 All other offenses (except traffic) ......................................... 830,658 816,767 Suspicion................................................................................... 743 734 Curfew and loitering law violations....................................... 13,129 13,442 Runaways ................................................................................. 10,885 10,835
Under 18 Percent change -1.1 -2.1 -5.0 -2.2 -2.1 -0.2 +4.4 -13.7 -4.5 -2.2 +1.5 +0.4 -9.5 -10.4 +10.3 -7.3 -4.1 -4.7 -8.5 -1.4 -1.9 +4.5 +0.1 -0.5 -1.2 +4.8 -0.6 -17.6 -1.7 -1.2 +2.4 -0.5
2006
2007
393,703 184 884 5,233 10,921 18,469 40,544 5,028 2,049 17,222 66,090 44,307 659 1,330 223 4,613 27,803 9,878 49 3,861 41,166 123 941 4,394 27,059 3,637 38,921 470 76,943 135 13,129 10,885
382,470 184 886 4,966 10,513 17,480 41,559 4,318 1,927 16,549 65,284 43,154 563 1,266 263 4,380 26,160 9,008 33 3,729 41,158 100 1,174 4,064 26,183 3,588 36,932 431 74,174 113 13,442 10,835
Total Percent change -2.9 0.0 +0.2 -5.1 -3.7 -5.4 +2.5 -14.1 -6.0 -3.9 -1.2 -2.6 -14.6 -4.8 17.9 -5.1 -5.9 -8.8 -32.7 -3.4 * -18.7 +24.8 -7.5 -3.2 -1.3 -5.1 -8.3 -3.6 -16.3 +2.4 -0.5
2006
2007
855,709 315 81 2,271 19,779 9,791 94,118 4,804 696 22,446 109,409 79,490 10,555 44,153 2,604 6,233 11,348 3,346 2,558 1,180 83,613 171 8,764 88,493 47,015 20,957 44,326 1,329 247,952 193 6,337 13,430
868,703 263 56 2,396 20,229 9,763 107,533 4,210 598 22,944 122,104 80,920 9,597 38,673 2,779 6,134 11,580 3,134 2,656 1,190 83,188 180 9,180 91,811 47,503 23,075 44,868 971 246,810 191 6,306 13,100
Under 18 Percent change +1.5 -16.5 -30.9 +5.5 +2.3 -0.3 +14.3 -12.4 -14.1 +2.2 +11.6 +1.8 -9.1 -12.4 +6.7 -1.6 +2.0 -6.3 +3.8 +0.8 -0.5 +5.3 +4.7 +3.7 +1.0 +10.1 +1.2 -26.9 -0.5 -1.0 -0.5 -2.5
2006
2007
155,430 9 14 469 3,215 2,102 25,196 1,119 283 3,707 28,700 21,797 294 684 156 870 3,984 1,178 60 354 8,971 8 610 1,246 15,576 1,389 17,861 161 28,057 31 6,337 13,430
155,054 15 16 493 3,041 2,049 28,055 983 257 3,565 31,344 21,104 255 695 164 1,047 4,003 973 73 306 8,991 9 673 1,266 15,678 1,371 17,192 151 26,788 35 6,306 13,100
Percent change -0.2 +66.7 +14.3 +5.1 -5.4 -2.5 +11.3 -12.2 -9.2 -3.8 +9.2 -3.2 -13.3 +1.6 +5.1 +20.3 +0.5 -17.4 +21.7 -13.6 +0.2 +12.5 +10.3 +1.6 +0.7 -1.3 -3.7 -6.2 -4.5 +12.9 -0.5 -2.5
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Does not include suspicion. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
370
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 64. Arrests in Suburban Areas,1 Distribution by Age, 2007 (Number, percent; 6,470 agencies; 2007 estimated population 98,929,880.) Offense charged
TOTAL ............................................................... Total percent distribution2 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime3 ................................................ Violent crime percent distribution2 ............. Property crime3 .............................................. Property crime percent distribution2 ........... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ........................................................... 1 Suburban
Total all ages
Ages under 15
Ages under 18
Ages 18 and over
4,202,876 100.0 3,095 6,176 27,190 115,349 84,443 340,518 26,932 4,853 151,810 100.0 456,746 100.0 372,393 30,360 88,486 6,299
176,348 4.2 19 338 1,414 4,944 6,705 25,953 1,323 1,384 6,715 4.4 35,365 7.7 29,562 127 338 25
637,897 3,564,979 15.2 84.8 273 2,822 1,008 5,168 6,982 20,208 15,968 99,381 22,900 61,543 86,689 253,829 6,303 20,629 2,422 2,431 24,231 127,579 16.0 84.0 118,314 338,432 25.9 74.1 76,049 296,344 1,024 29,336 2,293 86,193 466 5,833
36,651 85,621 47,877 6,126
1,632 13,850 4,394 18
6,629 34,818 12,359 137
23,328 493,774 1,224
2,397 8,365 28
50,682 496,340 196,312 153,383 208,355 6,001 1,238,040 1,152 22,785 29,131
608 93 4,091 582 23,824 145 29,568 47 5,923 8,651
Under 10
10–12
13–14
15
16
17
18
19
20
5,227 0.1 0 4 27 203 234 707 7 120 234 0.2 1,068 0.2 933 8 16 1
36,390 0.9 2 80 197 1,222 1,412 5,387 138 433 1,501 1.0 7,370 1.6 7,614 25 51 8
134,731 3.2 17 254 1,190 3,519 5,059 19,859 1,178 831 4,980 3.3 26,927 5.9 21,015 94 271 16
124,071 3.0 36 159 1,389 2,989 4,618 17,229 1,533 434 4,573 3.0 23,814 5.2 15,064 135 351 32
156,036 3.7 89 228 1,858 3,779 5,344 20,696 1,728 337 5,954 3.9 28,105 6.2 16,446 244 544 135
181,442 4.3 129 283 2,321 4,256 6,233 22,811 1,719 267 6,989 4.6 31,030 6.8 14,977 518 1,060 274
213,502 5.1 226 319 2,655 4,676 6,789 22,474 1,701 241 7,876 5.2 31,205 6.8 12,678 1,002 1,965 432
212,741 5.1 181 303 2,157 4,491 5,390 18,037 1,408 176 7,132 4.7 25,011 5.5 11,990 1,369 2,637 441
193,588 4.6 164 297 1,644 4,275 4,375 14,479 1,263 135 6,380 4.2 20,252 4.4 11,558 1,323 2,839 389
30,022 50,803 35,518 5,989
22 639 242 0
252 3,537 1,138 4
1,358 9,674 3,014 14
1,331 6,847 2,322 23
1,705 7,082 2,645 40
1,961 7,039 2,998 56
2,317 5,998 3,237 189
2,060 4,691 2,804 234
1,830 3,473 2,351 222
4,885 58,272 121
18,443 435,502 1,103
140 99 3
650 880 2
1,607 7,386 23
829 9,677 25
825 15,958 40
834 24,272 28
955 35,190 39
925 33,850 42
795 29,394 49
2,176 6,173 49,172 5,471 64,485 672 118,061 173 22,785 29,131
48,506 490,167 147,140 147,912 143,870 5,329 1,119,979 979 -
32 18 36 28 434 5 1,000 0 65 204
121 8 235 26 5,500 20 5,407 11 849 1,181
455 67 3,820 528 17,890 120 23,161 36 5,009 7,266
412 228 7,353 874 13,520 143 23,449 32 5,542 7,495
578 1,389 14,110 1,404 14,190 177 29,735 53 6,457 8,220
578 4,463 23,618 2,611 12,951 207 35,309 41 4,863 4,765
803 11,272 38,014 5,468 10,415 319 44,047 81 -
841 15,511 37,765 5,613 8,488 253 51,006 78 -
980 17,442 29,047 5,283 7,692 190 52,054 45 -
area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Because of rounding, the percentages may not add to 100.0. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
SECTION IV: PERSONS ARRESTED 371 Table 64. Arrests in Suburban Areas,1 Distribution by Age, 2007 (Number, percent; 6,470 agencies; 2007 estimated population 98,929,880.) Offense charged TOTAL ............................................................... Total percent distribution2 ................................ Murder and nonnegligent manslaughter ........ Forcible rape ...................................................... Robbery .............................................................. Aggravated assault ............................................ Burglary .............................................................. Larceny-theft...................................................... Motor vehicle theft ............................................ Arson................................................................... Violent crime3 ................................................ Violent crime percent distribution2 ............. Property crime3 .............................................. Property crime percent distribution2 ........... Other assaults..................................................... Forgery and counterfeiting ............................... Fraud ................................................................... Embezzlement.................................................... Stolen property; buying, receiving, possessing ........................................................... Vandalism ........................................................... Weapons; carrying, possessing, etc. .................. Prostitution and commercialized vice ............. Sex offenses (except forcible rape and prostitution) ................................................ Drug abuse violations ....................................... Gambling ............................................................ Offenses against the family and children........................................................ Driving under the influence ............................. Liquor laws ......................................................... Drunkenness ...................................................... Disorderly conduct ............................................ Vagrancy ............................................................. All other offenses (except traffic) ................... Suspicion............................................................. Curfew and loitering law violations................. Runaways ...........................................................
21
22
23
24
25–29
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65 and over
176,084 4.2 168 265 1,354 4,487 3,540 12,368 1,047 116 6,274 4.1 17,071 3.7 12,419 1,216 2,780 336
162,926 3.9 180 226 1,128 4,212 3,022 10,955 1,053 103 5,746 3.8 15,133 3.3 12,005 1,246 2,915 316
149,291 3.6 129 203 978 3,922 2,741 9,698 896 81 5,232 3.4 13,416 2.9 11,367 1,229 2,871 249
143,375 3.4 146 176 891 3,902 2,417 8,959 917 67 5,115 3.4 12,360 2.7 11,347 1,264 3,092 239
592,511 14.1 520 807 3,212 17,333 9,840 37,754 3,753 342 21,872 14.4 51,689 11.3 49,787 5,757 14,666 888
413,587 9.8 292 645 1,885 12,405 6,420 27,101 2,563 269 15,227 10.0 36,353 8.0 38,332 4,325 13,226 635
384,913 9.2 221 632 1,575 11,576 5,931 27,179 2,314 228 14,004 9.2 35,652 7.8 37,641 3,811 12,827 591
354,557 8.4 205 509 1,268 10,684 5,123 25,689 1,805 246 12,666 8.3 32,863 7.2 34,319 3,085 10,552 567
279,098 6.6 157 361 880 8,318 3,491 19,113 1,113 185 9,716 6.4 23,902 5.2 26,203 2,028 7,566 340
156,254 3.7 103 194 349 4,737 1,566 10,682 488 121 5,383 3.5 12,857 2.8 14,042 1,001 4,361 237
73,521 1.7 59 109 157 2,250 573 5,068 168 63 2,575 1.7 5,872 1.3 6,569 426 2,110 103
33,290 0.8 42 56 47 1,084 231 2,313 86 32 1,229 0.8 2,662 0.6 3,184 162 1,058 45
25,741 0.6 29 66 28 1,029 94 1,960 54 26 1,152 0.8 2,134 0.5 2,903 92 728 25
1,566 3,224 2,230 236
1,405 2,792 2,079 208
1,345 2,312 1,756 225
1,228 2,094 1,600 197
5,227 7,928 6,121 972
3,630 4,879 3,559 734
3,164 4,298 2,837 830
2,787 3,689 2,403 795
1,837 2,782 1,988 565
960 1,404 1,218 289
388 613 680 138
169 342 335 72
109 284 320 83
752 26,003 28
669 23,281 40
579 20,679 29
547 19,312 36
2,492 75,829 123
1,978 46,166 134
2,104 39,488 109
2,055 35,824 127
1,658 27,853 107
1,083 14,361 69
721 5,595 62
522 1,803 63
608 874 46
1,120 24,837 4,733 7,737 9,213 240 54,019 50 -
1,189 24,451 3,169 7,028 7,789 179 51,234 52 -
1,342 23,587 2,387 6,066 6,731 162 47,688 39 -
1,524 22,771 1,962 5,575 6,226 155 46,687 44 -
8,363 88,689 7,249 22,296 22,580 697 199,124 162 -
8,270 58,699 4,510 15,289 14,449 530 142,555 107 -
8,341 52,442 4,303 15,424 13,787 638 132,524 98 -
7,175 50,211 4,749 17,377 13,435 773 119,027 78 -
4,770 44,075 4,281 16,502 11,029 599 91,227 70 -
2,307 27,956 2,627 10,139 6,227 339 49,351 43 -
904 15,278 1,311 4,799 3,046 164 22,148 19 -
371 7,446 617 2,026 1,485 45 9,649 5 -
206 5,500 416 1,290 1,278 46 7,639 8 -
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Because of rounding, the percentages may not add to 100.0. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
372
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 65. Arrests in Suburban Areas1 of Persons Under 15, 18, 21, and 25 Years of Age, 2007 (Number, percent; 6,470 agencies; 2007 estimated population 98,929,880.) Number of persons arrested Offense charged
Under 15 TOTAL ....................................................................................... Murder and nonnegligent manslaughter ................................ Forcible rape .............................................................................. Robbery ...................................................................................... Aggravated assault .................................................................... Burglary ...................................................................................... Larceny-theft.............................................................................. Motor vehicle theft .................................................................... Arson........................................................................................... Violent crime2 ........................................................................ Property crime2 ...................................................................... Other assaults............................................................................. Forgery and counterfeiting ....................................................... Fraud ........................................................................................... Embezzlement............................................................................ Stolen property; buying, receiving, possessing........................ Vandalism ................................................................................... Weapons; carrying, possessing, etc. .......................................... Prostitution and commercialized vice ..................................... Sex offenses (except forcible rape and prostitution)............. Drug abuse violations ............................................................... Gambling .................................................................................... Offenses against the family and children................................ Driving under the influence ..................................................... Liquor laws ................................................................................. Drunkenness .............................................................................. Disorderly conduct .................................................................... Vagrancy ..................................................................................... All other offenses (except traffic) ........................................... Suspicion..................................................................................... Curfew and loitering law violations......................................... Runaways ................................................................................... 1 Suburban
Percent of total all ages
Total all ages 4,202,876 3,095 6,176 27,190 115,349 84,443 340,518 26,932 4,853 151,810 456,746 372,393 30,360 88,486 6,299 36,651 85,621 47,877 6,126 23,328 493,774 1,224 50,682 496,340 196,312 153,383 208,355 6,001 1,238,040 1,152 22,785 29,131
176,348 19 338 1,414 4,944 6,705 25,953 1,323 1,384 6,715 35,365 29,562 127 338 25 1,632 13,850 4,394 18 2,397 8,365 28 608 93 4,091 582 23,824 145 29,568 47 5,923 8,651
Under 18 637,897 273 1,008 6,982 15,968 22,900 86,689 6,303 2,422 24,231 118,314 76,049 1,024 2,293 466 6,629 34,818 12,359 137 4,885 58,272 121 2,176 6,173 49,172 5,471 64,485 672 118,061 173 22,785 29,131
Under 21 1,257,728 844 1,927 13,438 29,410 39,454 141,679 10,675 2,974 45,619 194,782 112,275 4,718 9,734 1,728 12,836 48,980 20,751 782 7,560 156,706 251 4,800 50,398 153,998 21,835 91,080 1,434 265,168 377 22,785 29,131
Under 25 1,889,404 1,467 2,797 17,789 45,933 51,174 183,659 14,588 3,341 67,986 252,762 159,413 9,673 21,392 2,868 18,380 59,402 28,416 1,648 10,107 245,981 384 9,975 146,044 166,249 48,241 121,039 2,170 464,796 562 22,785 29,131
Under 15 4.2 0.6 5.5 5.2 4.3 7.9 7.6 4.9 28.5 4.4 7.7 7.9 0.4 0.4 0.4 4.5 16.2 9.2 0.3 10.3 1.7 2.3 1.2 * 2.1 0.4 11.4 2.4 2.4 4.1 26.0 29.7
Under 18 15.2 8.8 16.3 25.7 13.8 27.1 25.5 23.4 49.9 16.0 25.9 20.4 3.4 2.6 7.4 18.1 40.7 25.8 2.2 20.9 11.8 9.9 4.3 1.2 25.0 3.6 30.9 11.2 9.5 15.0 100.0 100.0
Under 21 29.9 27.3 31.2 49.4 25.5 46.7 41.6 39.6 61.3 30.1 42.6 30.1 15.5 11.0 27.4 35.0 57.2 43.3 12.8 32.4 31.7 20.5 9.5 10.2 78.4 14.2 43.7 23.9 21.4 32.7 100.0 100.0
Under 25 45.0 47.4 45.3 65.4 39.8 60.6 53.9 54.2 68.8 44.8 55.3 42.8 31.9 24.2 45.5 50.1 69.4 59.4 26.9 43.3 49.8 31.4 19.7 29.4 84.7 31.5 58.1 36.2 37.5 48.8 100.0 100.0
area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
SECTION IV: PERSONS ARRESTED 373 Table 66. Arrests in Suburban Areas,1 Distribution by Sex, 2007 (Number, percent; 6,470 agencies; 2007 estimated population 98,929,880.) Percent distribution2
Number of persons arrested Offense charged
TOTAL .................................................................................................................. Murder and nonnegligent manslaughter ........................................................... Forcible rape ......................................................................................................... Robbery................................................................................................................. Aggravated assault ............................................................................................... Burglary................................................................................................................. Larceny-theft ........................................................................................................ Motor vehicle theft............................................................................................... Arson ..................................................................................................................... Violent crime3 ................................................................................................... Property crime3 ................................................................................................. Other assaults ....................................................................................................... Forgery and counterfeiting.................................................................................. Fraud...................................................................................................................... Embezzlement ...................................................................................................... Stolen property; buying, receiving, possessing .................................................. Vandalism .............................................................................................................. Weapons; carrying, possessing, etc...................................................................... Prostitution and commercialized vice................................................................ Sex offenses (except forcible rape and prostitution) ....................................... Drug abuse violations .......................................................................................... Gambling............................................................................................................... Offenses against the family and children........................................................... Driving under the influence ................................................................................ Liquor laws............................................................................................................ Drunkenness ......................................................................................................... Disorderly conduct............................................................................................... Vagrancy ................................................................................................................ All other offenses (except traffic) ...................................................................... Suspicion ............................................................................................................... Curfew and loitering law violations ................................................................... Runaways ..............................................................................................................
Total
Male
4,202,876 3,095 6,176 27,190 115,349 84,443 340,518 26,932 4,853 151,810 456,746 372,393 30,360 88,486 6,299 36,651 85,621 47,877 6,126 23,328 493,774 1,224 50,682 496,340 196,312 153,383 208,355 6,001 1,238,040 1,152 22,785 29,131
3,179,537 2,765 6,112 24,200 91,613 73,177 205,483 22,036 4,136 124,690 304,832 276,474 18,504 48,470 2,940 29,389 71,739 44,049 2,340 21,899 396,508 1,026 39,946 391,258 140,116 126,563 152,729 4,603 951,834 903 15,571 13,154
Female 1,023,339 330 64 2,990 23,736 11,266 135,035 4,896 717 27,120 151,914 95,919 11,856 40,016 3,359 7,262 13,882 3,828 3,786 1,429 97,266 198 10,736 105,082 56,196 26,820 55,626 1,398 286,206 249 7,214 15,977
Percent male 75.7 89.3 99.0 89.0 79.4 86.7 60.3 81.8 85.2 82.1 66.7 74.2 60.9 54.8 46.7 80.2 83.8 92.0 38.2 93.9 80.3 83.8 78.8 78.8 71.4 82.5 73.3 76.7 76.9 78.4 68.3 45.2
Percent female 24.3 10.7 1.0 11.0 20.6 13.3 39.7 18.2 14.8 17.9 33.3 25.8 39.1 45.2 53.3 19.8 16.2 8.0 61.8 6.1 19.7 16.2 21.2 21.2 28.6 17.5 26.7 23.3 23.1 21.6 31.7 54.8
Total 100.0 0.1 0.1 0.6 2.7 2.0 8.1 0.6 0.1 3.6 10.9 8.9 0.7 2.1 0.1 0.9 2.0 1.1 0.1 0.6 11.7 * 1.2 11.8 4.7 3.6 5.0 0.1 29.5 * 0.5 0.7
Male 100.0 0.1 0.2 0.8 2.9 2.3 6.5 0.7 0.1 3.9 9.6 8.7 0.6 1.5 0.1 0.9 2.3 1.4 0.1 0.7 12.5 * 1.3 12.3 4.4 4.0 4.8 0.1 29.9 * 0.5 0.4
Female 100.0 * * 0.3 2.3 1.1 13.2 0.5 0.1 2.7 14.8 9.4 1.2 3.9 0.3 0.7 1.4 0.4 0.4 0.1 9.5 * 1.0 10.3 5.5 2.6 5.4 0.1 28.0 * 0.7 1.6
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Because of rounding, the percentages may not add to 100.0. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. * = Less than one-tenth of 1 percent.
374
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 67. Arrests in Suburban Areas,1 Distribution by Race, 2007 (Number, percent; 6,465 agencies; 2007 estimated population 98,904,024.) Percent distribution2
Total arrests Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime3 ............................... Property crime3 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways .......................................... 1 Suburban
White
4,180,882 3,153,313
Black
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
Black
American Asian Indian or or Alaskan Pacific Native Islander
965,820
31,083
30,666
100.0
75.4
23.1
0.7
0.7
633,624
458,634
165,388
4,064
5,538
3,093 6,140 27,133 114,932 84,198 338,550 26,866 4,815 151,298 454,429 370,791 30,240 88,111 6,271
1,761 4,491 12,831 82,096 63,205 237,701 19,761 3,850 101,179 324,517 270,425 21,824 62,017 4,155
1,293 1,546 14,015 30,942 20,084 94,629 6,734 903 47,796 122,350 94,869 7,993 25,272 2,042
17 54 113 977 414 2,713 191 23 1,161 3,341 2,766 114 351 21
22 49 174 917 495 3,507 180 39 1,162 4,221 2,731 309 471 53
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
56.9 73.1 47.3 71.4 75.1 70.2 73.6 80.0 66.9 71.4 72.9 72.2 70.4 66.3
41.8 25.2 51.7 26.9 23.9 28.0 25.1 18.8 31.6 26.9 25.6 26.4 28.7 32.6
0.5 0.9 0.4 0.9 0.5 0.8 0.7 0.5 0.8 0.7 0.7 0.4 0.4 0.3
0.7 0.8 0.6 0.8 0.6 1.0 0.7 0.8 0.8 0.9 0.7 1.0 0.5 0.8
273 997 6,965 15,892 22,808 86,044 6,293 2,401 24,127 117,546 75,625 1,017 2,276 465
114 693 2,355 10,049 16,177 57,060 4,175 1,943 13,211 79,355 48,241 766 1,538 274
156 298 4,529 5,634 6,337 27,234 2,018 420 10,617 36,009 26,541 235 709 179
1 0 16 97 125 613 48 6 114 792 396 3 6 2
2 6 65 112 169 1,137 52 32 185 1,390 447 13 23 10
36,468 85,099
25,043 68,925
10,900 14,955
231 619
294 600
100.0 100.0
68.7 81.0
29.9 17.6
0.6 0.7
0.8 0.7
6,577 34,573
4,030 28,282
2,435 5,817
36 213
76 261
47,658
31,281
15,717
258
402
100.0
65.6
33.0
0.5
0.8
12,256
8,005
4,052
62
137
6,111
3,929
1,843
24
315
100.0
64.3
30.2
0.4
5.2
136
72
64
0
0
23,248 491,891 1,217
18,457 363,715 723
4,426 122,828 462
151 2,528 5
214 2,820 27
100.0 100.0 100.0
79.4 73.9 59.4
19.0 25.0 38.0
0.6 0.5 0.4
0.9 0.6 2.2
4,861 57,893 121
3,584 46,006 32
1,232 11,095 87
25 348 0
20 444 2
50,404 493,900 194,095 152,380 207,112 5,991
33,676 442,101 173,504 134,730 146,751 4,069
16,124 44,050 15,461 15,394 57,473 1,899
337 3,420 2,956 1,485 1,562 11
267 4,329 2,174 771 1,326 12
100.0 100.0 100.0 100.0 100.0 100.0
66.8 89.5 89.4 88.4 70.9 67.9
32.0 8.9 8.0 10.1 27.7 31.7
0.7 0.7 1.5 1.0 0.8 0.2
0.5 0.9 1.1 0.5 0.6 0.2
2,158 6,143 48,773 5,447 64,257 671
1,578 5,800 45,430 5,033 40,095 556
559 258 2,253 339 23,442 111
9 45 525 41 277 1
12 40 565 34 443 3
1,231,344 1,136
882,101 600
332,163 521
9,332 3
7,748 12
100.0 100.0
71.6 52.8
27.0 45.9
0.8 0.3
0.6 1.1
116,857 157
87,088 67
27,984 88
760 2
1,025 0
22,666 29,022
17,973 21,618
4,433 6,849
98 309
162 246
100.0 100.0
79.3 74.5
19.6 23.6
0.4 1.1
0.7 0.8
22,666 29,022
17,973 21,618
4,433 6,849
98 309
162 246
area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Because of rounding, the percentages may not add to 100.0. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
SECTION IV: PERSONS ARRESTED 375 Table 67. Arrests in Suburban Areas,1 Distribution by Race, 2007 (Contd.) (Number, percent; 6,465 agencies; 2007 estimated population 98,904,024.) Percent distribution2 Offense charged Total
TOTAL .............................................. Murder and nonnegligent manslaughter..................................... Forcible rape ..................................... Robbery............................................. Aggravated assault ........................... Burglary............................................. Larceny-theft .................................... Motor vehicle theft........................... Arson ................................................. Violent crime3 ............................... Property crime3 ............................. Other assaults ................................... Forgery and counterfeiting.............. Fraud.................................................. Embezzlement .................................. Stolen property; buying, receiving, possessing......................... Vandalism .......................................... Weapons; carrying, possessing, etc. .................................. Prostitution and commercialized vice ......................... Sex offenses (except forcible rape and prostitution) ...................... Drug abuse violations ...................... Gambling........................................... Offenses against the family and children ...................................... Driving under the influence ............ Liquor laws........................................ Drunkenness ..................................... Disorderly conduct........................... Vagrancy ............................................ All other offenses (except traffic) .................................. Suspicion ........................................... Curfew and loitering law violations .................................... Runaways ..........................................
White
Black
Percent distribution2
Arrests under 18
American Asian Indian or or Alaskan Pacific Native Islander
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
100.0
72.4
26.1
0.6
0.9 3,547,258 2,694,679
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
41.8 69.5 33.8 63.2 70.9 66.3 66.3 80.9 54.8 67.5 63.8 75.3 67.6 58.9
57.1 29.9 65.0 35.5 27.8 31.7 32.1 17.5 44.0 30.6 35.1 23.1 31.2 38.5
0.4 0.0 0.2 0.6 0.5 0.7 0.8 0.2 0.5 0.7 0.5 0.3 0.3 0.4
0.7 0.6 0.9 0.7 0.7 1.3 0.8 1.3 0.8 1.2 0.6 1.3 1.0 2.2
2,820 5,143 20,168 99,040 61,390 252,506 20,573 2,414 127,171 336,883 295,166 29,223 85,835 5,806
100.0 100.0
61.3 81.8
37.0 16.8
0.5 0.6
1.2 0.8
100.0
65.3
33.1
0.5
100.0
52.9
47.1
100.0 100.0 100.0
73.7 79.5 26.4
100.0 100.0 100.0 100.0 100.0 100.0
Total
White
American Asian Indian or or Alaskan Pacific Native Islander
Black
800,432
27,019
25,128
100.0
76.0
22.6
0.8
0.7
1,647 3,798 10,476 72,047 47,028 180,641 15,586 1,907 87,968 245,162 222,184 21,058 60,479 3,881
1,137 1,248 9,486 25,308 13,747 67,395 4,716 483 37,179 86,341 68,328 7,758 24,563 1,863
16 54 97 880 289 2,100 143 17 1,047 2,549 2,370 111 345 19
20 43 109 805 326 2,370 128 7 977 2,831 2,284 296 448 43
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
58.4 73.8 51.9 72.7 76.6 71.5 75.8 79.0 69.2 72.8 75.3 72.1 70.5 66.8
40.3 24.3 47.0 25.6 22.4 26.7 22.9 20.0 29.2 25.6 23.1 26.5 28.6 32.1
0.6 1.0 0.5 0.9 0.5 0.8 0.7 0.7 0.8 0.8 0.8 0.4 0.4 0.3
0.7 0.8 0.5 0.8 0.5 0.9 0.6 0.3 0.8 0.8 0.8 1.0 0.5 0.7
29,891 50,526
21,013 40,643
8,465 9,138
195 406
218 339
100.0 100.0
70.3 80.4
28.3 18.1
0.7 0.8
0.7 0.7
1.1
35,402
23,276
11,665
196
265
100.0
65.7
33.0
0.6
0.7
0.0
0.0
5,975
3,857
1,779
24
315
100.0
64.6
29.8
0.4
5.3
25.3 19.2 71.9
0.5 0.6 0.0
0.4 0.8 1.7
18,387 433,998 1,096
14,873 317,709 691
3,194 111,733 375
126 2,180 5
194 2,376 25
100.0 100.0 100.0
80.9 73.2 63.0
17.4 25.7 34.2
0.7 0.5 0.5
1.1 0.5 2.3
73.1 94.4 93.1 92.4 62.4 82.9
25.9 4.2 4.6 6.2 36.5 16.5
0.4 0.7 1.1 0.8 0.4 0.1
0.6 0.7 1.2 0.6 0.7 0.4
48,246 487,757 145,322 146,933 142,855 5,320
32,098 436,301 128,074 129,697 106,656 3,513
15,565 43,792 13,208 15,055 34,031 1,788
328 3,375 2,431 1,444 1,285 10
255 4,289 1,609 737 883 9
100.0 100.0 100.0 100.0 100.0 100.0
66.5 89.5 88.1 88.3 74.7 66.0
32.3 9.0 9.1 10.2 23.8 33.6
0.7 0.7 1.7 1.0 0.9 0.2
0.5 0.9 1.1 0.5 0.6 0.2
100.0 100.0
74.5 42.7
23.9 56.1
0.7 1.3
0.9 1,114,487 0.0 979
795,013 533
304,179 433
8,572 1
6,723 12
100.0 100.0
71.3 54.4
27.3 44.2
0.8 0.1
0.6 1.2
100.0 100.0
79.3 74.5
19.6 23.6
0.4 1.1
0.7 0.8
-
-
-
-
-
-
-
-
-
-
1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. 2 Because of rounding, the percentages may not add to 100.0. 3 Violent crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
376
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 68. Police Disposition of Juvenile Offenders Taken into Custody, 2007 (Number, percent.)
Total1
Population group
TOTAL AGENCIES: ....................................................... TOTAL CITIES ............................................................. GROUP I (250,000 and over)................................... GROUP II (100,000 to 249,999) ............................... GROUP III (50,000 to 99,999) ................................. GROUP IV (25,000 to 49,999) ................................. GROUP V (10,000 to 24,999) ................................... GROUP VI (under 10,000) ....................................... METROPOLITAN COUNTIES ................................ NONMETROPOLITAN COUNTIES....................... SUBURBAN 1 Includes
AREA3 .......................................................
Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2 Number Percent2
663,991 100.0 560,393 100.0 138,954 100.0 82,959 100.0 105,992 100.0 75,606 100.0 85,504 100.0 71,378 100.0 81,552 100.0 22,046 100.0 288,762 100.0
Handled within department and released 129,404 19.5 117,588 21.0 41,670 30.0 18,009 21.7 19,497 18.4 12,211 16.2 13,001 15.2 13,200 18.5 8,543 10.5 3,273 14.8 47,148 16.3
Referred to juvenile court jurisdiction 461,909 69.6 387,512 69.2 94,226 67.8 58,590 70.6 76,429 72.1 53,794 71.2 59,213 69.3 45,260 63.4 59,834 73.4 14,563 66.1 198,657 68.8
Referred to welfare agency 2,430 0.4 1,775 0.3 20 * 378 0.5 414 0.4 254 0.3 461 0.5 248 0.3 493 0.6 162 0.7 1,429 0.5
Referred to other police agency 8,141 1.2 7,098 1.3 604 0.4 2,274 2.7 1,295 1.2 1,671 2.2 688 0.8 566 0.8 879 1.1 164 0.7 2,557 0.9
Referred to criminal or adult court 62,107 9.4 46,420 8.3 2,434 1.8 3,708 4.5 8,357 7.9 7,676 10.2 12,141 14.2 12,104 17.0 11,803 14.5 3,884 17.6 38,971 13.5
Number of agencies
2007 estimated population
5,242
120,286,534
3,937
87,798,925
37
25,796,709
80
12,018,629
234
15,972,903
360
12,405,704
793
12,642,471
2,433
8,962,509
636
24,275,366
669
8,212,243
3,278
58,405,783
all offenses except traffic and neglect cases. of rounding, the percentages may not add to 100.0. 3 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. * = Less than one-tenth of 1 percent. 2 Because
SECTION IV: PERSONS ARRESTED 377 Table 69. Total Arrests, by State, 2007 (Number.)
State
ALABAMA ............................................. Under 18 Total all ages ALASKA................................................... Under 18 Total all ages ARIZONA ................................................ Under 18 Total all ages ARKANSAS............................................. Under 18 Total all ages CALIFORNIA ........................................ Under 18 Total all ages COLORADO3 .......................................... Under 18 Total all ages CONNECTICUT ..................................... Under 18 Total all ages DELAWARE............................................ Under 18 Total all ages DISTRICT OF 3, 4 COLUMBIA ......................................... Under 18 Total all ages FLORIDA3, 5 ............................................. Under 18 Total all ages GEORGIA................................................ Under 18 Total all ages IDAHO...................................................... Under 18 Total all ages ILLINOIS.................................................. Under 18 Total all ages INDIANA ................................................. Under 18 Total all ages IOWA......................................................... Under 18 Total all ages KANSAS ................................................... Under 18 Total all ages KENTUCKY ............................................ Under 18 Total all ages LOUISIANA ............................................ Under 18 Total all ages MAINE...................................................... Under 18 Total all ages MARYLAND ........................................... Under 18 Total all ages MASSACHUSETTS................................ Under 18 Total all ages MICHIGAN.............................................. Under 18 Total all ages MINNESOTA6.......................................... Under 18 Total all ages MISSISSIPPI ............................................ Under 18 Total all ages MISSOURI ............................................... Under 18 Total all ages MONTANA .............................................. Under 18 Total all ages NEBRASKA............................................. Under 18 Total all ages NEVADA .................................................. Under 18 Total all ages NEW HAMPSHIRE ............................... Under 18 Total all ages NEW JERSEY ......................................... Under 18 Total all ages NEW MEXICO ........................................ Under 18 Total all ages NEW YORK3 ............................................ Under 18 Total all ages NORTH CAROLINA............................. Under 18 Total all ages 1
Total all classes1
Violent crime2
Property crime2
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larcenytheft
Motor vehicle theft
Arson
Other assaults
12,407 199,688 4,161 38,578 52,173 321,503 8,809 101,694 233,558 1,540,894 43,848 225,099 18,702 120,182 7,321 41,350
697 6,225 182 1,727 1,551 8,490 306 2,937 17,416 124,293 814 5,741 1,028 5,481 548 2,857
2,939 20,812 1,287 4,247 10,518 39,236 2,103 9,343 45,662 165,192 7,622 23,984 3,711 15,546 1,526 6,109
35 336 6 39 25 297 5 60 235 2,022 7 109 3 66 2 23
26 319 9 75 32 215 12 143 239 2,141 60 427 32 224 34 130
307 1,763 24 160 422 1,872 69 416 6,721 21,064 165 864 240 1,260 209 652
329 3,807 143 1,453 1,072 6,106 220 2,318 10,221 99,066 582 4,341 753 3,931 303 2,052
573 3,379 152 470 1,483 4,681 491 2,064 13,908 53,738 785 2,644 633 2,608 290 1,027
2,221 16,258 1,037 3,390 7,915 30,342 1,539 6,973 26,331 87,455 6,263 19,507 2,721 11,895 1,160 4,871
131 1,068 91 357 943 3,924 68 274 4,563 22,458 370 1,525 275 805 42 147
14 107 7 30 177 289 5 32 860 1,541 204 308 82 238 34 64
1,958 25,034 410 4,098 4,744 24,597 1,035 8,162 22,086 90,070 2,243 15,089 3,561 19,129 1,617 8,491
479 5,933 120,190 1,126,395 45,233 333,657 16,035 73,896 34,250 191,268 35,144 215,449 21,362 114,816 10,544 73,904 7,178 63,884 24,445 173,584 7,158 57,731 47,646 296,861 18,407 146,284 41,319 312,777 49,839 215,671 8,454 85,271 40,093 297,234 6,950 28,136 13,708 83,957 21,795 167,412 6,602 38,396 55,824 383,797 10,371 78,484 46,232 345,251 45,412 407,663
66 123 8,833 52,291 2,021 12,750 234 1,451 3,098 8,779 1,080 7,402 730 3,996 341 2,341 315 1,807 1,100 8,014 86 723 3,437 12,513 1,897 11,847 2,431 14,100 1,234 5,950 177 1,789 1,431 10,765 79 864 235 1,699 657 5,595 85 358 3,123 13,680 459 3,396 3,090 16,069 2,409 19,623
58 91 34,492 134,478 9,225 39,586 3,018 6,578 5,247 22,072 7,798 28,021 5,266 13,442 1,929 6,170 1,991 8,269 4,883 22,955 2,031 7,727 11,763 34,595 3,213 17,142 11,095 36,575 10,005 27,976 1,577 8,185 8,755 35,649 1,532 3,983 3,100 8,823 3,625 15,606 687 2,274 8,094 31,828 1,719 6,689 11,478 52,969 10,847 56,115
0 1 121 902 64 439 3 33 50 372 18 223 0 15 7 53 2 33 23 242 0 19 25 327 5 68 26 306 7 115 8 83 19 217 0 11 4 47 13 151 1 4 37 269 10 74 30 362 54 622
0 0 254 1,793 45 356 29 114 74 517 37 278 29 115 38 170 7 39 47 324 8 71 52 348 29 305 108 598 17 125 14 135 65 461 2 26 21 135 24 186 3 30 56 400 17 117 108 715 74 577
42 77 3,051 11,597 748 3,176 19 74 1,301 2,890 318 1,897 97 374 52 292 191 730 250 1,119 20 172 1,697 4,119 497 1,859 788 2,692 410 1,334 72 545 391 1,689 4 47 77 289 285 1,739 12 76 1,466 4,065 66 376 1,243 4,185 915 4,186
24 45 5,407 37,999 1,164 8,779 183 1,230 1,673 5,000 707 5,004 604 3,492 244 1,826 115 1,005 780 6,329 58 461 1,663 7,719 1,366 9,615 1,509 10,504 800 4,376 83 1,026 956 8,398 73 780 133 1,228 335 3,519 69 248 1,564 8,946 366 2,829 1,709 10,807 1,366 14,238
1 1 8,811 28,307 2,126 7,099 455 1,044 992 2,937 1,001 3,963 814 2,096 300 1,033 414 1,628 1,231 5,103 393 1,306 2,390 6,972 790 3,707 1,741 6,122 1,109 3,521 397 1,753 1,514 5,734 98 240 270 845 686 2,889 106 333 1,568 5,848 241 1,001 2,328 8,283 3,087 15,261
35 62 22,575 94,857 6,341 29,548 2,376 5,163 2,575 13,895 6,118 21,803 4,118 10,638 1,511 4,639 1,471 6,386 3,351 16,555 1,522 6,064 7,721 23,780 2,137 12,302 8,090 26,640 8,281 22,470 1,075 5,892 6,566 27,310 1,293 3,454 2,682 7,493 2,678 10,747 535 1,829 6,070 24,672 1,365 5,256 8,323 41,506 7,282 38,769
22 28 2,942 10,874 658 2,337 116 260 1,647 5,129 603 2,056 252 568 79 421 102 242 252 1,143 86 287 1,364 3,365 204 995 1,102 3,464 498 1,781 81 439 519 2,292 105 230 92 384 195 1,831 29 82 246 936 94 389 649 2,707 305 1,668
0 0 164 440 100 602 71 111 33 111 76 199 82 140 39 77 4 13 49 154 30 70 288 478 82 138 162 349 117 204 24 101 156 313 36 59 56 101 66 139 17 30 210 372 19 43 178 473 173 417
53 196 16,826 92,738 6,042 27,667 1,289 6,212 5,748 27,562 3,272 14,986 2,637 10,266 1,502 10,113 563 3,108 4,407 21,777 870 7,160 8,115 29,922 2,338 18,796 4,345 28,988 4,280 19,537 1,274 9,596 6,231 30,032 701 3,775 1,642 8,136 2,048 18,817 802 4,337 4,425 26,830 1,202 6,856 4,723 33,324 7,968 53,785
Does not include traffic arrests. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 3 See Appendix I for details. 4 Includes arrests reported by the Metro Transit Police. This agency has no population associated with it. 5 The arrest category all other offenses also includes the arrest counts for offenses against the family and children, drunkenness, disorderly conduct, vagrancy, suspicion, curfew and loitering law violations, and runaways. 6 The forcible rape figures for Minnesota include only those provided by the cities of Minneapolis and St. Paul. 2 Violent
378
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 69. Total Arrests, by State, 2007 (Contd.) (Number.)
State
ALABAMA ............................................. Under 18 Total all ages ALASKA................................................... Under 18 Total all ages ARIZONA ................................................ Under 18 Total all ages ARKANSAS............................................. Under 18 Total all ages CALIFORNIA ........................................ Under 18 Total all ages COLORADO3 .......................................... Under 18 Total all ages CONNECTICUT ..................................... Under 18 Total all ages DELAWARE............................................ Under 18 Total all ages DISTRICT OF 3, 4 COLUMBIA ......................................... Under 18 Total all ages FLORIDA3, 5 ............................................. Under 18 Total all ages GEORGIA................................................ Under 18 Total all ages IDAHO...................................................... Under 18 Total all ages ILLINOIS.................................................. Under 18 Total all ages INDIANA ................................................. Under 18 Total all ages IOWA......................................................... Under 18 Total all ages KANSAS ................................................... Under 18 Total all ages KENTUCKY ............................................ Under 18 Total all ages LOUISIANA ............................................ Under 18 Total all ages MAINE...................................................... Under 18 Total all ages MARYLAND ........................................... Under 18 Total all ages MASSACHUSETTS................................ Under 18 Total all ages MICHIGAN.............................................. Under 18 Total all ages MINNESOTA6.......................................... Under 18 Total all ages MISSISSIPPI ............................................ Under 18 Total all ages MISSOURI ............................................... Under 18 Total all ages MONTANA .............................................. Under 18 Total all ages NEBRASKA............................................. Under 18 Total all ages NEVADA .................................................. Under 18 Total all ages NEW HAMPSHIRE ............................... Under 18 Total all ages NEW JERSEY ......................................... Under 18 Total all ages NEW MEXICO ........................................ Under 18 Total all ages NEW YORK3 ............................................ Under 18 Total all ages NORTH CAROLINA............................. Under 18 Total all ages 1
Forgery and counterfeiting
Fraud
Stolen property; Embezzlebuying, ment receiving, possessing
Vandalism
ProstituWeapons; tion and carrying, commerpossessing, cialized etc. vice
Sex offenses (except Drug forcible abuse rape and violations prostitution)
Gambling
Offenses against the family and children
Driving under the influence
33 1,892 9 136 74 4,446 15 811 320 9,862 51 1,256 28 792 14 633
57 7,818 7 161 111 1,983 23 3,124 597 10,159 165 2,379 62 1,441 107 2,061
1 61 1 8 54 393 1 19 184 2,268 22 220 10 214 18 282
207 2,255 2 21 159 1,285 96 891 3,301 19,752 150 1,026 52 450 111 454
265 2,033 259 954 3,543 11,573 472 1,336 16,887 34,799 1,872 5,796 1,006 2,564 376 1,166
179 1,467 56 402 570 3,688 124 957 8,597 32,513 645 2,325 325 1,357 127 421
1 182 3 343 25 1,600 1 154 584 12,558 12 668 1 479 0 188
48 604 33 172 278 1,695 38 154 2,256 15,145 214 840 134 564 40 167
967 17,309 271 1,759 5,334 35,384 791 9,953 22,047 289,449 3,482 18,290 1,613 14,663 759 5,744
3 57 0 8 1 1 0 3 78 689 0 8 4 25 1 2
18 1,054 6 332 318 3,105 12 234 12 395 75 2,745 72 1,318 4 244
85 12,857 91 5,187 597 38,260 138 8,892 1,626 204,015 514 27,969 98 8,571 0 229
0 0 152 5,077 121 4,634 23 255 17 490 42 1,743 44 688 11 446 15 625 18 868 11 350 50 1,042 28 828 33 1,176 103 1,994 16 698 63 2,248 4 59 21 520 14 1,329 4 139 71 1,738 13 278 184 4,445 49 2,728
1 1 746 17,277 194 7,317 67 490 95 1,318 76 2,067 53 1,023 22 1,037 26 777 31 2,086 21 869 84 2,329 45 1,396 470 6,231 224 3,482 51 1,267 89 3,919 18 168 93 1,743 39 2,315 40 877 114 3,681 38 453 307 8,474 472 22,278
0 0 130 1,450 10 332 21 118 0 1 3 12 6 99 28 170 0 17 23 329 7 57 54 409 6 119 48 1,249 4 24 20 674 12 154 3 28 16 102 54 544 4 22 17 139 20 163 144 1,031 97 1,865
2 16 293 2,891 666 4,067 53 245 32 81 1,411 6,374 70 253 39 310 235 876 236 1,575 40 193 39 261 278 1,326 505 2,253 503 2,045 92 641 489 2,976 8 22 152 830 220 1,727 107 409 1,342 4,567 117 824 1,076 5,701 802 5,530
14 34 2,993 9,152 1,170 3,742 679 1,436 1,997 5,462 1,194 2,547 1,700 3,274 496 1,745 301 746 825 3,327 492 1,535 2,214 4,351 930 3,380 1,459 3,917 2,082 4,821 218 1,042 2,175 6,169 470 1,054 951 2,519 1,167 2,463 535 1,158 3,436 7,457 427 856 4,272 13,408 2,276 8,594
5 29 1,959 8,263 1,533 5,528 182 571 997 3,736 306 1,927 126 486 157 767 117 549 342 2,029 60 416 1,387 4,271 286 1,386 965 5,086 767 2,375 154 758 540 2,891 36 92 186 1,037 420 2,389 30 89 1,733 5,451 293 728 757 4,256 1,633 7,644
0 0 66 6,131 23 1,171 0 10 58 4,050 15 1,861 2 149 1 241 1 766 12 548 1 42 18 1,377 7 1,098 11 603 20 1,119 2 110 3 320 0 30 1 182 25 5,430 0 27 17 1,706 5 348 8 1,318 8 1,492
0 0 401 3,706 615 3,724 100 347 86 1,187 216 1,576 56 214 76 283 17 77 169 1,033 63 256 332 1,513 97 606 303 1,094 313 1,574 33 308 460 2,132 24 66 116 579 128 1,385 37 138 289 1,606 17 147 841 4,344 139 1,478
13 77 14,114 169,360 4,066 44,019 901 5,660 7,298 55,125 2,510 22,753 1,275 8,825 1,079 7,089 1,249 11,883 1,880 22,964 573 5,721 7,474 55,155 2,327 20,626 3,656 33,923 2,887 18,814 637 10,289 3,569 32,958 332 1,566 1,095 9,816 1,427 14,444 536 2,570 6,448 52,773 1,238 6,805 5,958 61,163 3,855 38,343
0 0 32 297 9 197 0 1 1,072 4,194 6 155 2 12 0 0 0 8 15 139 0 2 88 454 0 22 17 159 4 12 15 382 8 110 0 0 0 11 9 98 0 24 20 182 1 1 16 163 11 159
0 0
0 23 466 58,824 256 26,442 263 11,014 36 5,624 217 23,463 228 13,130 226 12,080 32 3,490 94 8,725 120 8,097 290 24,230 141 11,746 662 40,584 642 31,735 93 7,881 473 31,633 73 3,264 268 12,350 86 12,538 97 4,146 347 25,031 192 10,006 364 28,440 408 26,928
124 3,482 10 584 8 435 320 1,668 9 843 16 217 16 804 176 1,745 5 139 31 2,255 183 1,626 19 3,308 33 834 127 2,248 108 3,772 20 252 52 1,507 12 1,650 9 180 52 14,958 3 713 385 2,489 97 7,258
Does not include traffic arrests. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 3 See Appendix I for details. 4 Includes arrests reported by the Metro Transit Police. This agency has no population associated with it. 5 The arrest category all other offenses also includes the arrest counts for offenses against the family and children, drunkenness, disorderly conduct, vagrancy, suspicion, curfew and loitering law violations, and runaways. 6 The forcible rape figures for Minnesota include only those provided by the cities of Minneapolis and St. Paul. 2 Violent
SECTION IV: PERSONS ARRESTED 379 Table 69. Total Arrests, by State, 2007 (Contd.) (Number.) Liquor laws
State
ALABAMA ................................................ ALASKA...................................................... ARIZONA ................................................... ARKANSAS................................................ CALIFORNIA ........................................... COLORADO3 ............................................. CONNECTICUT ........................................ DELAWARE............................................... DISTRICT OF
COLUMBIA3, 4 ................
FLORIDA3, 5 ................................................ GEORGIA................................................... IDAHO......................................................... ILLINOIS..................................................... INDIANA .................................................... IOWA............................................................ KANSAS ...................................................... KENTUCKY ............................................... LOUISIANA ............................................... MAINE......................................................... MARYLAND .............................................. MASSACHUSETTS................................... MICHIGAN................................................. MINNESOTA6............................................. MISSISSIPPI ............................................... MISSOURI .................................................. MONTANA ................................................. NEBRASKA................................................ NEVADA ..................................................... NEW HAMPSHIRE .................................. NEW JERSEY ............................................ NEW MEXICO ........................................... NEW
YORK3 ...............................................
NORTH CAROLINA................................ 1
Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages
799 6,073 277 1,847 6,085 27,405 236 1,369 5,579 21,108 5,034 15,943 310 1,130 454 2,503 4 1,477 1,376 34,898 1,173 9,954 1,962 5,946 417 1,672 2,839 10,839 1,991 8,468 1,313 7,066 96 1,038 315 6,391 1,111 4,472 1,320 6,830 1,000 5,209 4,958 22,237 7,231 29,932 168 2,496 2,690 14,380 1,342 5,011 2,231 11,228 2,189 9,281 987 4,753 2,863 7,757 917 4,014 1,089 5,262 1,307 9,898
Drunkenness7
Disorderly conduct
92 10,584 31 129 0 4 264 8,118 4,638 112,398 3 305 1 3 23 587 0 80
1,768 5,014 88 986 3,206 16,750 529 2,323 11,835 16,604 4,039 12,287 3,404 15,372 780 2,449 68 204
92 4,686 23 435 0 0 507 17,567 374 11,940 2 278 112 4,023 68 3,147 8 65 1 1 322 7,378 9 432 0 0 99 4,897 37 322 0 0 0 0 60 123 373 4,333 0 0 4 607 2 2 0 0
5,414 24,910 618 2,447 3,390 22,274 2,388 7,908 2,553 6,519 636 3,565 412 1,453 4,048 16,257 170 1,882 2,418 7,171 1,455 8,019 1,467 9,872 4,996 15,158 1,364 6,199 2,192 13,345 557 2,431 871 4,089 972 3,255 159 918 4,763 22,776 777 2,737 2,544 15,868 4,939 16,454
Vagrancy
21 421 0 7 42 1,344 0 673 310 4,000 15 171 0 36 0 560 0 135
86 882 0 13 0 73 7 26 0 27 0 0 0 612 20 562 0 0 27 126 1 14 0 419 14 406 3 69 81 204 0 41 0 44 23 3,873 0 21 36 992 2 14 77 1,133 39 382
All other offenses (except traffic) 1,717 77,383 747 15,651 5,343 90,644 1,806 41,421 44,228 350,310 9,251 80,426 3,221 30,986 695 6,082 195 3,447 37,311 529,562 8,964 104,962 3,724 27,215 3,808 26,287 6,454 57,936 2,659 29,581 1,185 18,501 1,388 22,664 4,324 47,624 1,328 17,864 7,446 106,364 3,540 33,257 6,542 98,247 6,370 39,756 1,558 24,923 6,822 99,390 828 4,507 2,076 18,140 3,565 59,493 1,832 11,345 9,120 151,131 2,423 32,312 8,917 85,392 7,554 126,607
Curfew and loitering law violations
Suspicion
0 1 0 2 0 0 0 1 0 0 3 9 0 0 0 0 0 0
27 203 0 0 0 0 9 144 0 0 0 0 0 0 31 61 0 0 86 720 22 172 0 0 0 0 4 47 0 0 0 0 0 0 32 34 0 0 0 0 4 37 0 0 0 0
55 55 11 11 4,268 4,268 528 528 21,126 21,126 2,088 2,088 43 43 121 121 0 0
882 882 842 842 828 828 1,136 1,136 947 947 0 0 170 170 707 707 57 57 276 276 7 7 976 976 4,022 4,022 555 555 1,200 1,200 568 568 290 290 3,572 3,572 8 8 4,872 4,872 12 12 0 0 2 2
Runaways
497 497 390 390 5,352 5,352 291 291 4,189 4,189 5,534 5,534 18 18 0 0 0 0
2,520 2,520 2,026 2,026 18 18 3,338 3,338 634 634 1,485 1,485 122 122 721 721 104 104 696 696 284 284 1,348 1,348 4,105 4,105 217 217 2,665 2,665 355 355 312 312 1,451 1,451 270 270 4,642 4,642 488 488 0 0 500 500
Number of agencies
2007 estimated population
287
3,482,050
30
654,555
78
5,941,252
210
1,875,132
634
35,715,843
189
4,358,882
94
3,243,990
53
853,712
2 592
18,207,878
308
5,916,753
99
1,382,317
2
2,980,147
155
4,535,059
180
2,567,706
217
1,783,134
11
850,422
107
2,617,038
163
1,314,909
154
5,562,657
323
5,899,072
513
9,301,438
318
5,078,367
79
1,082,611
580
4,980,958
83
803,145
216
1,506,881
30
2,467,618
131
891,903
539
8,421,399
58
1,391,131
611
10,520,724
303
6,998,327
Does not include traffic arrests. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 3 See Appendix I for details. 4 Includes arrests reported by the Metro Transit Police. This agency has no population associated with it. 5 The arrest category all other offenses also includes the arrest counts for offenses against the family and children, drunkenness, disorderly conduct, vagrancy, suspicion, curfew and loitering law violations, and runaways. 6 The forcible rape figures for Minnesota include only those provided by the cities of Minneapolis and St. Paul. 7 Drunkenness is not considered a crime in some states; therefore, the figures vary widely from state to state. 2 Violent
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CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 69. Total Arrests, by State, 2007 (Contd.) (Number.)
State
NORTH DAKOTA.................................. Under 18 Total all ages OHIO ......................................................... Under 18 Total all ages OKLAHOMA .......................................... Under 18 Total all ages OREGON ................................................. Under 18 Total all ages PENNSYLVANIA ................................... Under 18 Total all ages RHODE ISLAND ................................... Under 18 Total all ages SOUTH CAROLINA ............................. Under 18 Total all ages SOUTH DAKOTA .................................. Under 18 Total all ages TENNESSEE............................................ Under 18 Total all ages TEXAS ...................................................... Under 18 Total all ages UTAH ........................................................ Under 18 Total all ages VERMONT............................................... Under 18 Total all ages VIRGINIA................................................ Under 18 Total all ages WASHINGTON ....................................... Under 18 Total all ages WEST VIRGINIA ................................... Under 18 Total all ages WISCONSIN............................................. Under 18 Total all ages WYOMING............................................... Under 18 Total all ages 1
Total all classes1
6,651 27,359 40,970 256,718 21,357 161,719 30,236 147,335 102,497 467,655 4,149 26,966 24,945 213,355 3,665 18,014 35,880 304,793 166,976 1,087,325 25,789 120,167 1,836 16,731 39,666 313,457 35,096 248,676 2,347 46,835 105,319 421,093 7,139 39,808
Violent crime2
47 321 1,158 6,911 714 5,665 862 4,938 5,257 24,609 80 463 1,360 10,681 42 265 1,747 13,613 4,881 33,309 351 1,798 42 438 1,142 7,229 1,440 7,616 59 1,182 1,818 8,007 70 641
Property crime2
Murder and nonnegligent manslaughter
Forcible rape
Robbery
1,122 2,517 7,710 33,375 4,512 15,161 6,948 26,225 13,274 56,190 890 2,700 5,180 25,181 645 1,502 6,576 36,353 28,262 119,633 5,513 15,694 370 1,820 6,137 28,562 10,234 36,073 513 4,498 16,047 40,989 988 2,683
2 11 29 194 16 183 7 82 52 516 2 9 32 302 0 8 16 286 59 759 1 38 3 9 21 267 13 115 1 35 33 217 0 13
7 38 132 562 58 319 31 294 216 1,094 3 37 56 418 8 29 47 368 302 1,947 60 195 4 40 39 354 120 770 0 32 199 782 3 37
8 33 527 2,591 179 793 241 1,173 2,117 7,211 16 71 291 1,705 1 17 543 2,915 1,487 7,593 71 406 3 24 508 2,057 524 1,915 9 149 675 1,971 6 43
Aggravated assault
30 239 470 3,564 461 4,370 583 3,389 2,872 15,788 59 346 981 8,256 33 211 1,141 10,044 3,033 23,010 219 1,159 32 365 574 4,551 783 4,816 49 966 911 5,037 61 548
Burglary
Larcenytheft
100 259 1,375 6,110 920 3,066 848 2,869 2,464 9,722 185 567 1,332 5,306 61 175 1,300 5,880 5,277 18,544 367 1,256 101 356 1,226 4,381 1,662 5,211 73 622 1,953 4,900 84 292
935 2,068 5,784 25,564 3,193 10,810 5,568 21,006 9,241 41,558 657 1,975 3,584 18,615 544 1,244 4,742 27,773 21,347 93,431 4,799 13,667 226 1,343 4,490 22,858 7,887 28,673 400 3,608 12,901 33,639 836 2,230
Motor vehicle theft
73 165 409 1,399 290 1,010 349 2,049 1,212 4,168 27 125 188 1,073 18 53 452 2,501 1,317 6,817 248 625 37 102 218 959 491 1,845 29 214 1,067 2,187 58 138
Arson
14 25 142 302 109 275 183 301 357 742 21 33 76 187 22 30 82 199 321 841 99 146 6 19 203 364 194 344 11 54 126 263 10 23
Other assaults
456 1,957 6,129 30,211 1,389 10,302 2,324 15,173 8,854 45,908 478 2,946 4,236 23,105 247 1,815 5,548 30,507 20,570 99,238 2,028 9,788 303 1,756 4,885 36,747 4,571 28,616 404 5,919 3,988 20,158 837 3,370
Does not include traffic arrests. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
2 Violent
SECTION IV: PERSONS ARRESTED 381 Table 69. Total Arrests, by State, 2007 (Contd.) (Number.)
State
NORTH DAKOTA.................................. Under 18 Total all ages OHIO ......................................................... Under 18 Total all ages OKLAHOMA .......................................... Under 18 Total all ages OREGON ................................................. Under 18 Total all ages PENNSYLVANIA ................................... Under 18 Total all ages RHODE ISLAND ................................... Under 18 Total all ages SOUTH CAROLINA ............................. Under 18 Total all ages SOUTH DAKOTA .................................. Under 18 Total all ages TENNESSEE............................................ Under 18 Total all ages TEXAS ...................................................... Under 18 Total all ages UTAH ........................................................ Under 18 Total all ages VERMONT............................................... Under 18 Total all ages VIRGINIA................................................ Under 18 Total all ages WASHINGTON ....................................... Under 18 Total all ages WEST VIRGINIA ................................... Under 18 Total all ages WISCONSIN............................................. Under 18 Total all ages WYOMING............................................... Under 18 Total all ages
Forgery and counterfeiting
4 113 46 1,369 26 977 51 1,393 97 3,356 8 102 74 2,457 6 52 80 3,426 208 7,843 34 990 4 121 53 2,101 66 2,111 4 337 92 2,015 1 93
Fraud
33 863 159 3,373 55 2,662 86 1,768 376 9,376 9 678 111 17,664 57 610 168 9,323 368 14,401 72 1,269 9 414 103 8,299 55 1,223 7 1,056 216 7,346 7 180
Stolen property; Embezzlebuying, ment receiving, possessing
4 28 4 31 80 637 1 62 37 448 8 140 31 559 3 16 39 1,155 45 427 1 17 0 40 105 1,817 14 158 1 101 27 249 0 7
46 130 800 3,972 479 2,555 101 684 693 3,355 55 253 300 2,489 25 67 63 835 110 642 172 869 30 168 216 1,015 503 3,903 20 281 669 1,687 15 74
Vandalism
309 608 1,736 4,506 511 1,553 2,068 5,213 4,715 12,457 396 955 1,256 4,173 113 301 1,459 4,478 5,420 13,282 1,795 3,930 122 445 1,548 4,847 2,414 6,901 97 692 4,315 10,658 310 783
Weapons; Prostitucarrying, tion and possessing, commeretc. cialized vice 26 114 539 2,951 351 2,520 353 1,889 1,564 4,569 108 257 775 2,718 30 84 760 3,404 1,673 12,681 391 1,253 23 27 689 3,892 778 3,448 22 289 1,422 4,894 48 134
0 6 3 1,472 1 434 23 516 14 2,301 0 128 2 654 0 4 40 2,219 126 8,552 4 349 0 2 1 647 54 874 0 233 27 825 0 4
Sex offenses (except Drug forcible abuse rape and violations prostitution) 17 70 216 1,027 71 781 213 1,270 557 2,772 22 74 148 671 8 41 143 733 618 3,878 326 865 12 53 248 1,019 195 1,187 11 109 1,182 3,041 20 157
261 1,743 3,186 34,740 2,022 22,319 2,259 18,664 6,458 57,305 358 2,933 3,260 30,679 210 1,371 3,298 38,899 15,434 136,361 1,485 9,239 186 1,632 2,808 32,941 2,913 28,872 224 3,928 4,911 25,746 562 3,110
Gambling
0 3 6 53 1 5 5 7 22 280 0 16 6 192 0 0 34 335 68 695 2 3 0 0 10 113 0 10 0 4 50 153 0 5
Offenses against the family and children 86 168 856 7,448 56 1,072 11 621 46 1,102 98 146 223 1,611 33 202 30 1,420 23 4,757 133 2,073 6 336 30 1,636 25 725 2 62 190 2,884 25 230
Driving under the influence
51 4,119 206 19,155 254 18,229 194 17,096 650 49,238 31 2,131 92 11,712 75 4,203 194 27,178 1,180 88,236 124 7,204 40 3,662 183 24,170 706 37,317 30 6,327 641 41,308 89 6,116
382
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 69. Total Arrests, by State, 2007 (Contd.) (Number.) Liquor laws
State
NORTH DAKOTA..................................... OHIO ............................................................ OKLAHOMA ............................................. OREGON .................................................... PENNSYLVANIA ...................................... RHODE ISLAND ...................................... SOUTH CAROLINA ................................ SOUTH DAKOTA ..................................... TENNESSEE............................................... TEXAS ......................................................... UTAH ........................................................... VERMONT.................................................. VIRGINIA................................................... WASHINGTON .......................................... WEST VIRGINIA ...................................... WISCONSIN................................................ WYOMING.................................................. 1
Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages Under 18 Total all ages
1,306 5,717 2,523 13,600 442 3,295 4,846 17,928 7,610 26,428 128 749 902 11,311 1,219 4,572 1,380 8,754 5,454 29,125 2,670 10,679 228 843 1,825 10,129 4,118 12,918 174 1,569 10,212 43,695 1,213 4,370
Drunkenness3
Disorderly conduct
3 713 72 4,887 964 25,171 0 0 330 24,316 4 9 175 10,618 16 105 377 21,671 3,369 130,622 236 4,426 4 5 215 28,899 0 0 27 4,684 3 5 26 2,480
620 1,584 3,410 20,922 1,125 3,474 1,447 7,615 16,677 60,747 709 2,313 3,002 14,808 153 979 4,021 11,774 22,717 41,719 1,996 5,101 172 1,070 1,978 7,034 757 5,136 35 1,222 19,376 65,824 278 1,452
Vagrancy
0 4 9 49 0 0 0 24 80 764 0 0 0 1,361 0 13 0 61 1,757 2,652 200 212 0 2 0 78 6 46 0 10 61 3,054 7 21
All other offenses (except traffic) 1,220 5,541 9,453 63,863 2,975 39,578 3,566 21,371 7,713 54,661 685 9,891 3,227 40,126 237 1,266 5,863 84,595 29,922 314,501 5,595 41,746 279 3,891 9,314 104,106 4,395 69,690 598 14,213 27,782 126,265 1,642 12,879
Suspicion
0 0 11 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 74 92
Curfew and loitering law violations 318 318 1,791 1,791 2,200 2,200 2,735 2,735 25,321 25,321 30 30 50 50 254 254 1,951 1,951 12,203 12,203 1,969 1,969 0 0 2,620 2,620 31 31 65 65 7,671 7,671 437 437
Runaways
722 722 947 947 3,129 3,129 2,143 2,143 2,152 2,152 52 52 535 535 292 292 2,109 2,109 12,568 12,568 692 692 6 6 5,556 5,556 1,821 1,821 54 54 4,619 4,619 490 490
Number of agencies
2007 estimated population
63
562,723
374
6,848,511
292
3,615,869
145
3,522,777
930
11,408,646
41
876,018
479
4,179,455
89
388,719
394
4,848,243
941
21,758,415
103
2,316,297
78
608,835
334
7,325,924
214
4,877,122
275
1,400,508
366
5,484,944
61
516,496
Does not include traffic arrests. crimes are offenses of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 3 Drunkenness is not considered a crime in some states; therefore, the figures vary widely from state to state. 4 See Appendix I for details. 5 Includes arrests reported by the Metro Transit Police. This agency has no population associated with it. 6 The arrest category all other offenses also includes the arrest counts for offenses against the family and children, drunkenness, disorderly conduct, vagrancy, suspicion, curfew and loitering law violations, and runaways. 7 The forcible rape figures for Minnesota include only those provided by the cities of Minneapolis and St. Paul. 2 Violent
SECTION V:
LAW ENFORCEMENT PERSONNEL
SECTION V: LAW ENFORCEMENT PERSONNEL 385
LAW ENFORCEMENT PERSONNEL Figure 5-1. Full-Time Law Enforcement Officers, by Geographic Region, 2007
Number of officers (per 1,000 inhabitants)
4
3
2
1
0 United North- New Middle MidStates east England Atlantic west
East West South South East West West Mountain Pacific North North Atlantic South South Central Central Central Central
Region
Because of differing service requirements and functions, caution should be used when drawing comparisons between and among the staffing levels of law enforcement agencies. What follows is not intended as recommended or preferred officer strength; the data should only be used as a guide. Each year, UCR Program staff ask law enforcement agencies across the United States to report the total number of sworn law enforcement officers and civilians employed in their agencies as of October 31. This section of Crime in the United States presents those data as the number and rate of law enforcement officers and civilian employees throughout the United States. In 2007, 14,676 state, city, university and college, metropolitan and nonmetropolitan county, and other law enforcement agencies employed 699,850 sworn officers and 318,104 civilians, who provided law enforcement services to more than 285 million people nationwide. (Table 74) The data in this section are broken down by geographic region and division, population group, state, city, university and college, metropolitan and nonmetropolitan county, and other law enforcement agencies. (Information about geographic regions and divisions and population groups can be found in Appendix III.) UCR Program staff compute the rate of sworn officers and law enforcement employees by taking the number of employees (sworn officers only or in combination with civilians), dividing by the population for which the agency provides law enforcement service, and multiplying by 1,000.
• Tables 70 and 71 present the number and rate of law enforcement personnel per 1,000 inhabitants collectively employed by agencies, broken down by geographic region and division by population group. • Tables 72 and 73 provide a count of law enforcement agencies by population group, based on the employment rate ranges for sworn officer and civilian employees per 1,000 inhabitants. • Table 74 provides the number and percentage of male and female sworn officers and civilian employees by population group. • Table 75 lists the percentage of full-time civilian law enforcement employees by population group. • Table 76 breaks down by state the number of sworn law enforcement officers and civilians employed by state law enforcement agencies. • Tables 78 to 80 list the number of law enforcement employees for cities, universities and colleges, and metropolitan and nonmetropolitan counties. • Table 81 supplies employee data for those law enforcement agencies that serve the nation’s transit systems, parks and forests, schools and school districts, hospitals, etc. The demographic traits and characteristics of a jurisdiction affect its requirements for law enforcement service. For
386
CRIME IN THE UNITED STATES (BERNAN PRESS)
instance, a village between two large cities may require more law enforcement than a community of the same size with no urban center nearby. A town with legal gambling may have different law enforcement needs than a town near a military base. A city largely made up of college students may have different law enforcement needs than a city whose residents are mainly retirees. Similarly, the functions of law enforcement agencies are diverse. Employees of these agencies patrol local streets and major highways, protect citizens in the nation’s smallest towns and largest cities, and conduct investigations on offenses at the local and state level. State police in one area may enforce traffic laws on state highways and interstates; in another area, they may be responsible for investigating violent crimes. Sheriff’s departments may collect tax monies, serve as the enforcement authority for local and state courts, administer jail facilities, or carry out some combination of these duties. This has an impact on an agency’s staffing levels. Because of the differing service requirements and functions, care should be taken when drawing comparisons between and among the staffing levels of law enforcement agencies. The data in this section are not intended as recommended or preferred officer strength; they should be used merely as guides. Adequate staffing levels can be determined only after careful study of the conditions that affect the service requirements in a particular jurisdiction. Rate The rate of full-time law enforcement employees (civilian and sworn) per 1,000 inhabitants in the nation for 2007 was 3.6; the rate of sworn officers was 2.4 per 1,000. (Table 74) The UCR Program computes these rates by taking the number of employees, dividing by the population of the agency’s jurisdiction, and multiplying by 1,000. Among the nation’s four regions, law enforcement agencies in the Northeast had the highest rate of law enforcement employees in 2007, with 3.5 per 1,000 inhabitants. Agencies in the South had 3.4 law enforcement employees per 1,000 inhabitants, followed by the Midwest (2.7) and the West (2.4). (Table 70) An examination of the 2007 law enforcement employee data by population group showed that the nation’s cities had a collective rate of 3.0 law enforcement employees per 1,000 inhabitants. Cities with under 10,000 inhabitants had the highest rate of law enforcement employees, with 4.3 per 1,000 inhabitants. Cities with 25,000 to 49,999 inhabitants and cities with 50,000 to 99,999 inhabitants had the lowest
rate of law enforcement employees (2.3 per 1,000 in population). The nation’s largest cities, those with 250,000 or more inhabitants, averaged 3.8 law enforcement employees for every 1,000 inhabitants. (Table 70) Sworn Personnel The UCR Program defines law enforcement officers as individuals who ordinarily carry a firearm and a badge, have full arrest powers, and are paid from government funds set aside specifically for sworn law enforcement representatives. An analysis of the 2007 data showed that law enforcement agencies in the cities in the Northeast had the highest rate of sworn officers—2.7 per 1,000 inhabitants, followed by the South (2.6), the Midwest (2.2), and the West (1.7). (Table 71) By population group in 2007, there were 2.3 sworn officers for each 1,000 resident population in the nation’s cities collectively. This rate was unchanged from the 2006 data. Cities with under 10,000 inhabitants had the highest rate at 3.3 sworn officers per 1,000 inhabitants. The nation’s largest cities, those with 250,000 or more inhabitants, averaged 2.8 officers per 1,000 inhabitants. (Table 71) Female employees accounted for 61.5 percent of all fulltime civilian law enforcement employees in 2007. Males accounted for 88.3 percent of all full-time sworn law enforcement officers in 2007. In cities collectively, 88.2 percent of sworn officers were male. In metropolitan counties, 86.8 percent of officers were male, and in nonmetropolitan counties, 92.6 percent of officers were male. (Table 74) Civilian Employees Civilian employees provide a myriad of services to the nation’s law enforcement and criminal justice agencies. Among other duties, they dispatch officers, provide administrative and record-keeping support, and query local, state, and national databases. In 2007, 31.2 percent of all law enforcement employees in the nation were civilians. In cities, civilians made up 23.2 percent of law enforcement agencies employees. Civilians made up 42.4 percent of law enforcement employees in metropolitan counties, 41.0 percent of law enforcement employees in nonmetropolitan counties, and 35.8 percent of law enforcement employees in surburban areas. Of the civilians working in law enforcement agencies throughout the nation, 61.5 percent were female and 38.5 percent were male. (Tables 74 and 75)
SECTION V: LAW ENFORCEMENT PERSONNEL 387 Table 70. Full-Time Law Enforcement Employees,1 by Geographic Region and Division and Population Group, 2007 (Number, rate per 1,000 population.)
Geographic region/division
TOTAL ....................................................
NORTHEAST ........................................
NEW ENGLAND ..................................
MIDDLE ATLANTIC...........................
MIDWEST...............................................
EAST NORTH CENTRAL..................
WEST NORTH CENTRAL .................
SOUTH ....................................................
SOUTH ATLANTIC .............................
EAST SOUTH CENTRAL ..................
WEST SOUTH CENTRAL .................
WEST .......................................................
MOUNTAIN...........................................
PACIFIC ..................................................
1 Full-time
Group I (71 cities, 250,000 and over; population 53,815,350)
Total (11,112 cities; population 192,561,315) Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants
law enforcement employees include civilians.
Group II (181 cities, 100,000 to 249,999; population 27,270,252)
Group III (441 cities, 50,000 to 99,999; population 30,331,106)
Group IV (806 cities, 25,000 to 49,999; population 27,684,136)
Group V (1,826 cities, 10,000 to 24,999; population 28,984,708)
581,888
203,771
69,425
68,944
64,503
70,372
3.0 152,818
3.8 67,591
2.5 9,718
2.3 16,176
2.3 19,270
2.4 20,427
3.5 33,940
6.1 2,810
3.5 4,750
2.6 5,945
2.4 7,051
2.2 7,635
2.7 118,878
4.7 64,781
3.3 4,968
2.4 10,231
2.3 12,219
2.2 12,792
3.8 121,342
6.2 34,569
3.6 10,247
2.7 15,133
2.4 16,740
2.2 19,755
2.7 88,225
4.1 26,860
2.3 6,884
2.0 10,811
2.1 13,252
2.2 14,369
2.8 33,117
4.4 7,709
2.4 3,363
2.2 4,322
2.1 3,488
2.3 5,386
2.5 191,213
3.5 49,383
2.2 30,682
1.7 21,858
2.0 17,980
2.2 23,246
3.4 91,090
3.2 20,922
3.0 15,994
2.7 11,830
2.8 8,959
3.0 10,640
3.9 33,105
4.4 6,843
3.0 4,163
3.0 2,324
3.0 3,744
3.3 5,516
3.5 67,018
2.9 21,618
3.4 10,525
3.0 7,704
2.9 5,277
3.1 7,090
2.9 116,515
2.6 52,228
2.7 18,778
2.3 15,777
2.5 10,513
2.7 6,944
2.4 40,916
2.8 18,419
1.9 5,759
1.9 4,352
2.0 4,108
2.1 2,546
2.7 75,599
2.9 33,809
2.2 13,019
2.0 11,425
2.2 6,405
2.5 4,398
2.3
2.7
1.8
1.8
1.9
2.0
388
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 70. Full-Time Law Enforcement Employees,1 by Geographic Region and Division and Population Group, 2007 (Contd.) (Number, rate per 1,000 population.) Group VI (7,787 cities, under 10,000; population 24,475,763)
Geographic region/division
TOTAL ....................................................
NORTHEAST ........................................
NEW ENGLAND ..................................
MIDDLE ATLANTIC...........................
MIDWEST...............................................
EAST NORTH CENTRAL..................
WEST NORTH CENTRAL .................
SOUTH ....................................................
SOUTH ATLANTIC .............................
EAST SOUTH CENTRAL ..................
WEST SOUTH CENTRAL .................
WEST .......................................................
MOUNTAIN...........................................
PACIFIC ..................................................
1 Full-time
2007 estimated city population
Total city agencies
Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants
104,873
11,112
192,561,315
4.3 19,636
2,493
43,947,553
3.5
6.1
3.5
Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants Number of employees Average number of employees per 1,000 inhabitants
5,749
781
12,758,757
3.2 13,887
1,712
31,188,796
3.0 24,898
3,329
44,647,528
3.3 16,049
2,105
31,540,465
3.2 8,849
1,224
13,107,063
3.3 48,064
3,936
55,919,547
6.1 22,745
1,657
23,340,872
7.5 10,515
995
9,460,010
5.3 14,804
1,284
23,118,665
5.2 12,275
1,354
48,046,687
4.8 5,732
587
15,300,745
4.5 6,543
767
32,745,942
2.3
2.7
1.8
County2 (3,564 agencies; population 93,305,151) 436,066
Total city and county agencies
2007 estimated total agency population
14,676
285,866,466
Suburban Area3 (7,594 agencies; population 121,917,604) 471,974
4.7
3.9
2.6
2.4
2.2
3.0
1.8
1.9
2.0
5.1
law enforcement employees include civilians. 2 The designation county is a combination of both metropolitan and nonmetropolitan counties. 3 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
SECTION V: LAW ENFORCEMENT PERSONNEL 389 Table 71. Full-Time Law Enforcement Officers, by Geographic Region and Division and Population Group, 2007 (Number, rate per 1,000 population.)
Geographic region/division
TOTAL ....................................................
NORTHEAST ........................................
NEW ENGLAND ..................................
MIDDLE ATLANTIC...........................
MIDWEST...............................................
EAST NORTH CENTRAL..................
WEST NORTH CENTRAL .................
SOUTH ....................................................
SOUTH ATLANTIC .............................
EAST SOUTH CENTRAL ..................
WEST SOUTH CENTRAL .................
WEST .......................................................
MOUNTAIN...........................................
PACIFIC ..................................................
Group I (71 cities, 250,000 and over; population 53,815,350)
Total (11,112 cities; population 192,561,315) Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants
Group II (181 cities, 100,000 to 249,999; population 27,270,252)
Group III (441 cities, 50,000 to 99,999; population 30,331,106)
Group IV (806 cities, 25,000 to 49,999; population 27,684,136)
Group V (1,826 cities, 10,000 to 24,999; population 28,984,708)
446,669
152,594
52,329
53,271
50,728
56,134
2.3 118,485
2.8 47,073
1.9 8,054
1.8 13,486
1.8 16,137
1.9 17,180
2.7 27,828
4.2 2,170
2.9 3,940
2.1 5,086
2.0 5,869
1.9 6,226
2.2 90,657
3.7 44,903
2.8 4,114
2.1 8,400
1.9 10,268
1.8 10,954
2.9 98,940
4.3 29,289
3.0 8,270
2.2 12,031
2.1 13,169
1.9 15,782
2.2 72,794
3.5 23,680
1.9 5,609
1.6 8,573
1.7 10,417
1.8 11,469
2.3 26,146
3.9 5,609
1.9 2,661
1.7 3,458
1.7 2,752
1.8 4,313
2.0 145,572
2.5 38,120
1.8 22,981
1.4 16,708
1.6 13,910
1.7 18,021
2.6 69,124
2.5 15,594
2.2 11,874
2.1 9,011
2.2 7,043
2.3 8,413
3.0 25,883
3.3 5,569
2.2 3,064
2.3 1,817
2.4 2,963
2.6 4,268
2.7 50,565
2.3 16,957
2.5 8,043
2.3 5,880
2.3 3,904
2.4 5,340
2.2 83,672
2.0 38,112
2.1 13,024
1.8 11,046
1.8 7,512
2.0 5,151
1.7 29,295
2.0 13,116
1.3 4,078
1.3 3,107
1.4 2,933
1.6 1,893
1.9 54,377
2.1 24,996
1.6 8,946
1.4 7,939
1.6 4,579
1.8 3,258
1.7
2.0
1.3
1.3
1.4
1.5
390
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 71. Full-Time Law Enforcement Officers, by Geographic Region and Division and Population Group, 2007 (Contd.) (Number, rate per 1,000 population.) Group VI (7,787 cities, under 10,000; population 24,475,763)
Geographic region/division
TOTAL ....................................................
NORTHEAST ........................................
NEW ENGLAND ..................................
MIDDLE ATLANTIC...........................
MIDWEST...............................................
EAST NORTH CENTRAL..................
WEST NORTH CENTRAL .................
SOUTH ....................................................
SOUTH ATLANTIC .............................
EAST SOUTH CENTRAL ..................
WEST SOUTH CENTRAL .................
WEST .......................................................
MOUNTAIN...........................................
PACIFIC ..................................................
1 The
Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants Number of officers Average number of officers per 1,000 inhabitants
2007 estimated city population
Total city agencies
81,613
11,112
192,561,315
3.3 16,555
2,493
43,947,553
2.6 4,537
781
12,758,757
2.5 12,018
1,712
31,188,796
2.6 20,399
3,329
44,647,528
2.7 13,046
2,105
31,540,465
2.6 7,353
1,224
13,107,063
2.8 35,832
3,936
55,919,547
4.6 17,189
1,657
23,340,872
5.7 8,202
995
9,460,010
4.1 10,441
1,284
23,118,665
3.7 8,827
1,354
48,046,687
3.4 4,168
587
15,300,745
3.2 4,659
767
32,745,942
County1 (3,564 agencies; population 93,305,151) 253,181
Total city and county agencies 14,676
2007 estimated total agency population 285,866,466
Suburban Area2 (7,594 agencies; population 121,917,604) 302,867
2.7
3.6
designation county is a combination of both metropolitan and nonmetropolitan counties. 2 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
2.5
SECTION V: LAW ENFORCEMENT PERSONNEL 391 Table 72. Full-Time Law Enforcement Employees,1 by Rate Range, 2007 (Number, rate per 1,000 population.) Total cities2 (10,153 cities; population 192,561,315)
Rate range
.1-.5............................................................ .6-1.0.......................................................... 1.1-1.5........................................................ 1.6-2.0........................................................ 2.1-2.5........................................................ 2.6-3.0........................................................ 3.1-3.5........................................................ 3.6-4.0........................................................ 4.1-4.5........................................................ 4.6-5.0........................................................ 5.1 and over.............................................. Total cities ................................................
Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent3
111 1.1 464 4.6 1,103 10.9 1,893 18.6 2,074 20.4 1,382 13.6 986 9.7 605 6.0 417 4.1 271 2.7 847 8.3 10,153 100.0
Group I (71 cities, 250,000 and over; population 53,815,350) 0 0.0 0 0.0 0 0.0 10 14.1 17 23.9 19 26.8 5 7.0 6 8.5 3 4.2 4 5.6 7 9.9 71 100.0
Group II (181 cities, 100,000 to 249,999; population 27,270,252) 0 0.0 0 0.0 10 5.5 57 31.5 46 25.4 29 16.0 20 11.0 12 6.6 2 1.1 4 2.2 1 0.6 181 100.0
Group III (441 cities, 50,000 to 99,999; population 30,331,106) 2 0.5 4 0.9 55 12.5 141 32.0 122 27.7 58 13.2 29 6.6 13 2.9 10 2.3 3 0.7 4 0.9 441 100.0
Group IV (806 cities, 25,000 to 49,999; population 27,684,136) 1 0.1 17 2.1 96 11.9 206 25.6 247 30.6 108 13.4 77 9.6 32 4.0 14 1.7 3 0.4 5 0.6 806 100.0
Group V (1,826 cities, 10,000 to 24,999; population 28,984,708) 4 0.2 49 2.7 191 10.5 385 21.1 481 26.3 337 18.5 193 10.6 91 5.0 47 2.6 23 1.3 25 1.4 1,826 100.0
Group VI (6,828 cities, under 10,000; population 24,475,763) 104 1.5 394 5.8 751 11.0 1,094 16.0 1,161 17.0 831 12.2 662 9.7 451 6.6 341 5.0 234 3.4 805 11.8 6,828 100.0
1 Full-time
law enforcement employees include civilians. number of agencies used to compile these figures differs from other tables that include data about law enforcement employees because agencies with no resident population are excluded from this table. These agencies include those associated with universities and colleges and other agencies, as well as some state agencies that have concurrent jurisdiction with other local law enforcement. 3 Because of rounding, the percentages may not add to 100.0. 2 The
Table 73. Full-Time Law Enforcement Officers, by Rate Range, 2007 (Number, rate per 1,000 population.) Total cities1 (10,153 cities; population 192,561,315)
Rate range
.1-.5............................................................ .6-1.0.......................................................... 1.1-1.5........................................................ 1.6-2.0........................................................ 2.1-2.5........................................................ 2.6-3.0........................................................ 3.1-3.5........................................................ 3.6-4.0........................................................ 4.1-4.5........................................................ 4.6-5.0........................................................ 5.1 and over.............................................. Total cities ................................................
Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent2
128 1.3 646 6.4 1,892 18.6 2,599 25.6 1,901 18.7 1,053 10.4 667 6.6 363 3.6 239 2.4 159 1.6 506 5.0 10,153 100.0
Group I (71 cities, 250,000 and over; population 53,815,350) 0 0.0 0 0.0 13 18.3 22 31.0 14 19.7 6 8.5 7 9.9 3 4.2 2 2.8 3 4.2 1 1.4 71 100.0
Group II (181 cities, 100,000 to 249,999; population 27,270,252) 0 0.0 9 5.0 63 34.8 51 28.2 32 17.7 12 6.6 10 5.5 3 1.7 0 0.0 0 0.0 1 0.6 181 100.0
Group III (441 cities, 50,000 to 99,999; population 30,331,106) 2 0.5 35 7.9 147 33.3 146 33.1 68 15.4 21 4.8 11 2.5 6 1.4 4 0.9 0 0.0 1 0.2 441 100.0
Group IV (806 cities, 25,000 to 49,999; population 27,684,136) 1 0.1 52 6.5 231 28.7 283 35.1 136 16.9 74 9.2 20 2.5 6 0.7 1 0.1 0 0.0 2 0.2 806 100.0
Group V (1,826 cities, 10,000 to 24,999; population 28,984,708) 5 0.3 95 5.2 415 22.7 631 34.6 382 20.9 175 9.6 84 4.6 22 1.2 7 0.4 5 0.3 5 0.3 1,826 100.0
Group VI (6,828 cities, under 10,000; population 24,475,763) 120 1.8 455 6.7 1,023 15.0 1,466 21.5 1,269 18.6 765 11.2 535 7.8 323 4.7 225 3.3 151 2.2 496 7.3 6,828 100.0
1 The number of agencies used to compile these figures differs from other tables that include data about law enforcement officers because agencies with no resident population are excluded from this table. These agencies include those associated with universities and colleges and other agencies, as well as some state agencies that have concurrent jurisdiction with other local law enforcement. 2 Because of rounding, the percentages may not add to 100.0.
392
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 74. Full-Time Law Enforcement Employees, by Population Group, 2007 (Number, percent.)
Population group
Total law enforcement employees
Percent law enforcement employees Male
TOTAL AGENCIES: .................................... TOTAL CITIES ......................................... GROUP I (250,000 and over) ................. 1,000,000 and over (Group I subset) ... 500,000 to 999,999 (Group I subset) .... 250,000 to 499,999 (Group I subset) .... GROUP II (100,000 to 249,999)............... GROUP III (50,000 to 99,999) ................. GROUP IV (25,000 to 49,999) ................. GROUP V (10,000 to 24,999)................... GROUP VI (under 10,000)....................... METROPOLITAN COUNTIES ............ NONMETROPOLITAN COUNTIES .. SUBURBAN AREA1 ...................................
1,017,954 581,888 203,771 113,693 51,812 38,266 69,425 68,944 64,503 70,372 104,873 301,088 134,978 471,974
72.8 74.8 70.2 68.5 73.2 71.4 72.9 76.0 77.9 79.1 79.3 69.2 72.0 72.5
Total officers
Percent officers
Female 27.2 25.2 29.8 31.5 26.8 28.6 27.1 24.0 22.1 20.9 20.7 30.8 28.0 27.5
Male 699,850 446,669 152,594 83,852 40,163 28,579 52,329 53,271 50,728 56,134 81,613 173,546 79,635 302,867
88.3 88.2 83.0 81.7 84.0 85.4 88.0 90.4 91.4 92.3 91.6 86.8 92.6 88.8
Total civilians
Percent civilians
Female 11.7 11.8 17.0 18.3 16.0 14.6 12.0 9.6 8.6 7.7 8.4 13.2 7.4 11.2
Male 318,104 135,219 51,177 29,841 11,649 9,687 17,096 15,673 13,775 14,238 23,260 127,542 55,343 169,107
38.5 30.6 32.1 31.3 35.9 30.1 26.5 27.0 27.9 26.9 36.3 45.3 42.3 43.3
Number of agencies
2007 estimated population
Female 61.5 69.4 67.9 68.7 64.1 69.9 73.5 73.0 72.1 73.1 63.7 54.7 57.7 56.7
14,676 11,112 71 10 23 38 181 441 806 1,826 7,787 1,333 2,231 7,594
285,866,466 192,561,315 53,815,350 25,220,230 15,276,719 13,318,401 27,270,252 30,331,106 27,684,136 28,984,708 24,475,763 65,514,896 27,790,255 121,917,604
1 Suburban
area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.
Table 75. Full-Time Civilian Law Enforcement Employees, by Population Group, 2007 (Number, percent.) Population group TOTAL AGENCIES:................................................................ TOTAL CITIES..................................................................... GROUP I (250,000 and over) .............................................. 1,000,000 and over (Group I subset) ............................... 500,000 to 999,999 (Group I subset)................................ 250,000 to 499,999 (Group I subset)................................ GROUP II (100,000 to 249,999) .......................................... GROUP III (50,000 to 99,999)............................................. GROUP IV (25,000 to 49,999)............................................. GROUP V (10,000 to 24,999) .............................................. GROUP VI (under 10,000) .................................................. METROPOLITAN COUNTIES........................................ NONMETROPOLITAN COUNTIES .............................. SUBURBAN AREA1............................................................... 1
Percent civilian employees
Number of Agencies 31.2 23.2 25.1 26.2 22.5 25.3 24.6 22.7 21.4 20.2 22.2 42.4 41.0 35.8
2007 estimated population 14,676 11,112 71 10 23 38 181 441 806 1,826 7,787 1,333 2,231 7,594
285,866,466 192,561,315 53,815,350 25,220,230 15,276,719 13,318,401 27,270,252 30,331,106 27,684,136 28,984,708 24,475,763 65,514,896 27,790,255 121,917,604
Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area. Suburban area excludes all metropolitan agencies associated with a prin
SECTION V: LAW ENFORCEMENT PERSONNEL 393 Table 76. Full-Time State Law Enforcement Employees, by State, 2007 (Number.) Total officers State
Agency
ALABAMA ............................................
Department of Public Safety Other state agencies State Troopers Other state agencies Department of Public Safety Other state agencies Other state agencies Highway Patrol Other state agencies State Patrol Other state agencies State Police Other state agencies State Police Other state agencies Highway Patrol Other state agencies Department of Public Safety Other state agencies State Police State Police Other state agencies State Police Other state agencies Department of Public Safety Highway Patrol Other state agencies State Police Other state agencies State Police Other state agencies State Police Other state agencies1 State Police Other state agencies State Police State Police State Patrol Other state agencies Highway Safety Patrol State Highway Patrol Other state agencies Highway Patrol Other state agencies State Patrol Highway Patrol Other state agencies State Police Other state agencies State Police Other state agencies Port Authority of New York and New Jersey2 State Police State Police Other state agencies Highway Patrol Other state agencies Highway Patrol Highway Patrol Other state agencies Department of Public Safety Other state agencies State Police Other state agencies State Police Other state agencies
Male
ALASKA................................................. ARIZONA .............................................. ARKANSAS ........................................... CALIFORNIA........................................ COLORADO.......................................... CONNECTICUT.................................... DELAWARE .......................................... FLORIDA ............................................... GEORGIA .............................................. IDAHO .................................................... ILLINOIS ................................................ INDIANA................................................ IOWA ....................................................... KANSAS.................................................. KENTUCKY........................................... LOUISIANA .......................................... MAINE .................................................... MARYLAND ......................................... MASSACHUSETTS .............................. MICHIGAN ............................................ MINNESOTA ......................................... MISSISSIPPI........................................... MISSOURI.............................................. MONTANA............................................. NEBRASKA........................................... NEVADA ................................................ NEW HAMPSHIRE.............................. NEW JERSEY........................................
NEW MEXICO ...................................... NEW YORK............................................ NORTH CAROLINA ........................... NORTH DAKOTA ................................ OHIO ....................................................... OKLAHOMA......................................... OREGON................................................ PENNSYLVANIA .................................
Total civilians
Total law enforcement employees Female
Male
Female
1,385 236 552 10 2,109 70 48 10,975 911 964 76 1,821 34 916 654 2,189 3,206 1,830 1,178 458 4,247 419 1,952 7 981 846 549 1,753 571 1,708 57 545 78 2,258 1,642 3,006 2,612 760 55 1,121 2,033 598 255 24 738 884 62 446 35 4,514 438
678 179 319 5 1,146 29 34 6,854 655 678 15 1,180 26 603 285 1,457 1,355 1,030 241 256 1,858 248 1,154 6 624 523 283 947 465 1,156 43 276 47 1,339 877 2,282 1,531 475 10 552 901 516 216 21 461 445 34 269 17 2,883 332
14 13 15 0 68 2 3 615 183 48 2 82 1 74 94 187 171 54 46 12 215 22 61 0 45 18 13 31 12 49 3 23 2 114 127 192 203 45 1 9 31 36 12 0 29 48 2 26 4 115 29
193 7 98 2 386 22 5 1,571 15 63 33 263 5 107 59 177 572 348 340 52 812 90 310 0 134 113 98 398 46 124 0 130 18 453 307 229 374 133 36 175 487 12 8 0 101 114 11 51 5 719 46
500 37 120 3 509 17 6 1,935 58 175 26 296 2 132 216 368 1,108 398 551 138 1,362 59 427 1 178 192 155 377 48 379 11 116 11 352 331 303 504 107 8 385 614 34 19 3 147 277 15 100 9 797 31
995 650 6,092 17 2,255 700 187 2,702 474 1,463 66 872 54 6,612 389
830 500 4,499 14 1,684 496 125 1,404 344 790 29 483 31 4,680 247
87 21 424 1 43 64 4 164 21 16 3 47 13 212 26
21 39 500 0 283 57 27 514 38 282 21 120 0 765 95
57 90 669 2 245 83 31 620 71 375 13 222 10 955 21
Note: Caution should be used when comparing data from one state to that of another. The responsibilities of the various state police, highway patrol, and department of public safety agencies range from full law enforcement duties to only traffic patrol, which can impact both the level of employment for agencies as well as the ratio of sworn officers to civilians employed. Any valid comparison must take these factors and the other identified variables affecting crime into consideration. 1 The total employee count includes employees from agencies that are not represented in other law enforcement employee tables. 2 Data reported are the number of law enforcement employees for the state of New Jersey.
394
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 76. Full-Time State Law Enforcement Employees, by State, 2007 (Contd.) (Number.) Total officers State
Agency
RHODE ISLAND..................................
State Police Other state agencies Highway Patrol Other state agencies1 Highway Patrol Other state agencies Department of Safety Other state agencies Department of Public Safety Highway Patrol Other state agencies State Police Other state agencies State Police Other state agencies State Patrol State Police Other state agencies State Patrol Other state agencies Highway Patrol
Male
SOUTH CAROLINA............................ SOUTH DAKOTA................................. TENNESSEE .......................................... TEXAS..................................................... UTAH ...................................................... VERMONT............................................. VIRGINIA .............................................. WASHINGTON ..................................... WEST VIRGINIA.................................. WISCONSIN........................................... WYOMING .............................................
Total civilians
Total law enforcement employees 265 43 1,125 1,333 251 144 1,803 1,097 7,917 584 154 453 113 2,653 538 2,267 993 194 666 267 346
Female 196 31 857 860 146 41 866 586 3,286 454 135 285 90 1,867 288 984 621 168 435 214 186
Male 19 4 30 158 2 3 40 84 201 20 11 25 5 106 46 80 18 1 53 19 7
Female 32 6 88 104 81 37 248 128 1,516 26 4 43 4 211 88 589 129 2 80 14 66
18 2 150 211 22 63 649 299 2,914 84 4 100 14 469 116 614 225 23 98 20 87
Note: Caution should be used when comparing data from one state to that of another. The responsibilities of the various state police, highway patrol, and department of public safety agencies range from full law enforcement duties to only traffic patrol, which can impact both the level of employment for agencies as well as the ratio of sworn officers to civilians employed. Any valid comparison must take these factors and the other identified variables affecting crime into consideration. 1 The total employee count includes employees from agencies that are not represented in other law enforcement employee tables.
SECTION V: LAW ENFORCEMENT PERSONNEL 395 Table 77. Full-Time Law Enforcement Employees, by State, 2007 (Number.)
State
Total law enforcement employees
Total officers Male
ALABAMA ............................................................. ALASKA ................................................................. ARIZONA ............................................................... ARKANSAS ........................................................... CALIFORNIA ........................................................ COLORADO .......................................................... CONNECTICUT .................................................... DELAWARE .......................................................... DISTRICT OF COLUMBIA................................. FLORIDA ................................................................ GEORGIA .............................................................. HAWAII ................................................................... IDAHO ..................................................................... ILLINOIS ................................................................ INDIANA ................................................................ IOWA ....................................................................... KANSAS .................................................................. KENTUCKY ........................................................... LOUISIANA ........................................................... MAINE .................................................................... MARYLAND .......................................................... MASSACHUSETTS .............................................. MICHIGAN ............................................................ MINNESOTA .......................................................... MISSISSIPPI ........................................................... MISSOURI .............................................................. MONTANA ............................................................. NEBRASKA ........................................................... NEVADA ................................................................. NEW HAMPSHIRE .............................................. NEW JERSEY ........................................................ NEW MEXICO ....................................................... NEW YORK ............................................................ NORTH CAROLINA ............................................ NORTH DAKOTA ................................................. OHIO......................................................................... OKLAHOMA .......................................................... OREGON ................................................................ PENNSYLVANIA ................................................... RHODE ISLAND ................................................... SOUTH CAROLINA ............................................ SOUTH DAKOTA ................................................. TENNESSEE ........................................................... TEXAS ...................................................................... UTAH........................................................................ VERMONT ............................................................. VIRGINIA ............................................................... WASHINGTON....................................................... WEST VIRGINIA ................................................... WISCONSIN ............................................................ WYOMING ..............................................................
16,347 1,888 22,144 8,455 120,976 16,756 9,873 3,125 5,021 74,562 28,979 3,678 4,068 53,537 16,163 7,812 10,532 10,301 20,981 3,012 20,600 20,325 26,318 13,514 8,651 19,951 2,741 4,621 9,537 3,256 41,672 5,644 86,952 30,631 1,664 30,950 11,266 10,022 29,582 3,240 14,999 2,220 24,698 84,403 7,827 1,481 23,306 14,637 4,212 18,732 2,092
Female 9,919 1,088 11,041 5,006 68,521 9,939 7,262 1,952 3,320 38,409 17,594 2,596 2,484 31,524 9,944 4,760 6,567 7,524 12,577 2,125 13,396 15,479 16,835 7,676 4,782 12,740 1,625 2,988 5,718 2,287 29,733 3,710 53,742 19,098 1,090 19,591 6,735 5,349 22,245 2,392 9,739 1,323 13,898 45,425 4,315 1,019 15,987 9,394 3,189 11,175 1,280
Number of agencies
Total civilians Male 752 116 1,313 580 9,995 1,448 711 284 982 6,251 3,391 285 174 5,778 766 394 654 545 2,556 136 2,069 1,348 2,645 1,038 440 1,382 109 361 677 179 2,674 373 8,579 2,405 110 2,299 548 623 2,696 186 1,295 97 1,448 5,552 315 88 2,094 973 110 1,795 124
2007 estimated population
Female 2,048 235 4,469 1,107 15,269 1,754 783 337 291 11,046 2,508 237 424 7,748 2,460 995 1,295 844 2,018 339 1,957 1,421 2,990 1,999 1,303 2,187 454 343 747 248 3,395 499 8,019 3,932 181 3,547 1,657 1,680 1,771 305 1,384 346 4,349 14,424 1,579 123 1,444 1,423 351 2,119 179
3,628 449 5,321 1,762 27,191 3,615 1,117 552 428 18,856 5,486 560 986 8,487 2,993 1,663 2,016 1,388 3,830 412 3,178 2,077 3,848 2,801 2,126 3,642 553 929 2,395 542 5,870 1,062 16,612 5,196 283 5,513 2,326 2,370 2,870 357 2,581 454 5,003 19,002 1,618 251 3,781 2,847 562 3,643 509
363 40 94 272 459 228 101 53 3 461 350 4 107 757 242 234 330 377 185 132 130 333 624 320 170 576 108 158 37 148 529 95 427 496 99 625 294 202 997 47 379 142 446 995 131 63 280 248 345 373 67
4,533,379 681,180 6,054,541 2,832,708 31,683,834 4,807,287 3,502,309 853,364 588,292 18,251,243 7,708,266 1,283,388 1,496,944 12,813,230 5,961,949 2,976,754 2,691,761 4,210,320 3,983,159 1,294,381 5,439,792 6,366,891 10,018,999 5,065,797 2,375,636 5,835,175 957,619 1,700,074 2,565,382 1,167,387 8,405,701 1,850,280 18,883,746 9,036,361 638,897 10,072,335 3,617,316 3,712,636 9,052,251 1,057,832 4,406,102 792,578 6,150,558 23,413,736 2,644,187 342,945 7,710,724 6,459,529 1,799,090 5,598,633 519,988
396
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Number.)
State
ALABAMA ...............
City
Abbeville Adamsville Addison Alabaster Albertville Alexander City Aliceville Andalusia Anniston Arab Ardmore Argo Ariton Ashford Ashland Ashville Athens Atmore Attalla Auburn Autaugaville Baker Hill Bay Minette Bayou La Batre Bear Creek Berry Bessemer Birmingham Blountsville Boaz Brantley Brent Brewton Bridgeport Brighton Brilliant Brookside Brundidge Calera Camden Carbon Hill Carrollton Cedar Bluff Centre Centreville Chatom Cherokee Chickasaw Childersburg Citronelle Clanton Clayhatchee Clayton Cleveland Clio Coffeeville Collinsville Columbia Columbiana Coosada Cordova Cottonwood Courtland Creola Cullman Dadeville Daleville Daphne Dauphin Island Decatur Demopolis Dora Dothan Double Springs
Population
2,955 4,771 720 28,904 19,476 15,053 2,457 8,727 23,736 7,694 1,145 1,866 747 1,967 1,856 2,503 22,295 7,452 6,426 53,160 885 318 7,674 2,761 1,016 1,212 28,217 227,686 1,969 8,175 906 4,328 5,304 2,698 3,358 732 1,330 2,305 9,521 2,229 2,048 953 1,580 3,411 2,511 1,172 1,177 6,000 4,978 3,716 8,602 494 1,383 1,405 2,209 354 1,693 832 3,809 1,590 2,314 1,172 760 2,084 14,914 3,239 4,503 19,352 1,568 56,019 7,523 2,441 64,931 989
Total law enforcement employees 19 32 3 83 49 57 10 40 118 36 11 4 2 9 11 5 54 31 28 102 2 2 32 18 1 3 145 1,072 6 34 5 5 31 11 7 3 1 13 30 7 11 4 4 10 6 6 3 23 19 14 25 1 5 2 3 1 9 2 11 3 5 2 4 9 68 12 23 71 16 153 24 6 210 5
Total officers
10 21 3 68 39 42 6 30 81 25 7 3 2 5 6 5 43 25 22 97 2 2 23 13 1 3 109 773 6 24 4 5 25 7 4 3 1 8 23 6 5 4 4 9 6 6 3 18 14 8 23 1 5 2 3 1 4 2 7 3 4 2 4 5 48 11 17 42 10 134 21 3 140 5
Total civilians
9 11 0 15 10 15 4 10 37 11 4 1 0 4 5 0 11 6 6 5 0 0 9 5 0 0 36 299 0 10 1 0 6 4 3 0 0 5 7 1 6 0 0 1 0 0 0 5 5 6 2 0 0 0 0 0 5 0 4 0 1 0 0 4 20 1 6 29 6 19 3 3 70 0
State
City
Douglas Dozier Eclectic Elba Elberta Enterprise Eufaula Eutaw Evergreen Excel Fairfield Falkville Fayette Flomaton Florala Florence Foley Fort Payne Frisco City Fultondale Fyffe Gadsden Gardendale Geneva Georgiana Geraldine Glencoe Goodwater Gordo Grant Greensboro Greenville Grove Hill Guin Gulf Shores Guntersville Gurley Hackleburg Haleyville Hamilton Hammondville Hanceville Harpersville Hartford Hartselle Hayneville Headland Heflin Helena Henagar Hillsboro Hokes Bluff Hollywood Homewood Hoover Hueytown Huntsville Ider Irondale Jackson Jacksonville Jasper Jemison Killen Kinsey Kinston Lafayette Lake View Lanett Leeds Leesburg Level Plains Lexington Lincoln
Population
581 392 1,148 4,136 591 24,035 13,272 3,001 3,446 605 11,443 1,185 4,694 1,541 1,904 36,784 13,463 13,889 1,370 6,948 1,045 37,066 13,235 4,415 1,593 837 5,311 1,542 1,589 692 2,579 7,067 1,373 2,223 9,486 8,088 850 1,472 4,178 6,478 545 3,261 1,689 2,401 13,650 1,112 3,864 3,439 14,429 2,560 586 4,363 931 23,602 69,527 15,816 169,391 715 9,471 5,254 9,213 14,117 2,593 1,123 1,935 608 3,054 1,982 7,489 11,169 839 1,516 832 5,089
Total law enforcement employees 4 1 9 21 8 74 47 6 16 1 50 4 14 14 6 120 73 39 3 26 3 124 36 16 12 3 10 8 4 4 10 39 6 4 52 42 4 4 16 13 2 13 8 15 37 3 16 12 26 8 1 7 1 108 215 34 500 5 36 23 30 67 11 5 2 1 17 5 31 26 2 4 1 22
Total officers
4 1 5 13 7 54 28 5 15 1 37 4 13 7 5 95 47 35 3 21 3 96 26 11 9 3 7 4 4 4 10 30 6 4 40 29 4 4 11 11 2 8 8 10 29 3 12 11 22 4 1 4 1 75 155 29 386 4 30 17 25 44 10 5 2 1 16 4 28 22 2 4 1 17
Total civilians
0 0 4 8 1 20 19 1 1 0 13 0 1 7 1 25 26 4 0 5 0 28 10 5 3 0 3 4 0 0 0 9 0 0 12 13 0 0 5 2 0 5 0 5 8 0 4 1 4 4 0 3 0 33 60 5 114 1 6 6 5 23 1 0 0 0 1 1 3 4 0 0 0 5
SECTION V: LAW ENFORCEMENT PERSONNEL 397 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Linden Lineville Lipscomb Littleville Livingston Louisville Loxley Luverne Madison Maplesville Marion McIntosh McKenzie Midfield Midland City Millbrook Millport Millry Mobile Monroeville Montevallo Montgomery Moody Morris Moulton Mountain Brook Mount Vernon Muscle Shoals Napier Field New Brockton New Hope New Site Newton Newville North Courtland Northport Notasulga Oakman Odenville Ohatchee Oneonta Opelika Opp Orange Beach Owens Crossroads Oxford Ozark Pelham Pell City Phenix City Phil Campbell Pickensville Piedmont Pinckard Pine Hill Pleasant Grove Powell Prattville Priceville Prichard Ragland Rainbow City Rainsville Ranburne Red Bay Reform Riverside Roanoke Robertsdale Rockford Rogersville Russellville Samson Saraland
Population
2,326 2,370 2,265 947 2,961 569 1,587 2,733 37,994 686 3,373 237 612 5,196 1,839 16,342 1,014 601 253,842 6,538 5,234 202,062 12,402 1,910 3,262 20,952 821 12,776 397 1,216 2,709 833 1,663 540 794 22,201 833 945 1,238 1,230 6,860 24,600 6,701 5,810 1,404 20,396 14,656 21,060 12,256 30,309 1,046 646 4,998 632 914 10,323 976 31,949 2,503 28,087 2,082 9,079 4,923 482 3,283 1,834 1,883 6,674 4,976 396 1,190 8,842 2,027 12,839
Total law enforcement employees 4 12 11 5 11 3 16 14 88 6 11 8 1 19 9 37 1 3 685 28 18 591 19 9 12 68 6 43 1 5 5 2 7 4 3 79 8 1 10 6 19 94 28 62 3 62 39 81 36 105 3 2 16 2 5 23 3 86 4 64 4 31 13 2 11 4 3 29 29 2 5 31 6 47
Total officers
4 8 5 3 7 3 9 10 63 6 6 8 1 14 6 28 1 3 526 22 14 440 17 7 12 54 5 34 1 4 5 1 6 1 2 60 4 1 9 6 18 73 21 40 3 50 33 66 34 84 3 1 12 2 5 18 2 75 4 45 3 21 9 2 7 4 3 24 16 1 5 26 4 36
Total civilians
0 4 6 2 4 0 7 4 25 0 5 0 0 5 3 9 0 0 159 6 4 151 2 2 0 14 1 9 0 1 0 1 1 3 1 19 4 0 1 0 1 21 7 22 0 12 6 15 2 21 0 1 4 0 0 5 1 11 0 19 1 10 4 0 4 0 0 5 13 1 0 5 2 11
State
ALASKA....................
City
Sardis City Satsuma Scottsboro Selma Sheffield Shorter Silas Silverhill Sipsey Skyline Slocomb Snead Somerville Southside Spanish Fort Springville Steele Stevenson St. Florian Summerdale Sylacauga Sylvania Talladega Tallassee Tarrant City Thomaston Thomasville Thorsby Town Creek Triana Trinity Troy Trussville Tuscaloosa Tuscumbia Tuskegee Union Springs Uniontown Valley Valley Head Vance Vernon Vestavia Hills Wadley Warrior Weaver Wedowee West Blocton Wetumpka Wilton Winfield Woodstock Woodville York Anchorage Bethel Bristol Bay Borough Cordova Craig Dillingham Fairbanks Haines Homer Hoonah Houston Juneau Kenai Ketchikan Klawock Kodiak Kotzebue Nome North Pole North Slope Borough
Population
2,101 6,032 14,971 19,101 9,176 338 487 704 549 842 2,040 843 471 8,279 5,619 3,435 1,186 2,140 472 701 12,946 1,267 17,104 5,091 6,553 375 4,558 2,030 1,202 482 1,907 14,056 18,401 83,811 8,235 11,423 4,592 1,480 8,871 653 656 1,898 31,097 647 2,982 2,620 821 1,425 7,558 627 4,711 1,018 757 2,563 284,142 6,488 1,028 2,322 1,186 2,494 31,287 2,260 5,629 724 1,992 30,746 7,620 7,384 754 6,242 3,200 3,558 1,869 6,569
Total law enforcement employees 4 16 67 67 32 12 2 1 1 2 7 4 3 15 14 13 2 8 2 7 48 3 48 21 29 1 22 5 5 1 6 65 55 340 28 34 18 12 34 3 3 7 67 1 19 10 6 1 36 1 11 4 2 12 529 14 9 9 12 21 48 11 21 7 4 79 26 37 2 33 18 13 13 59
Total officers
4 12 44 45 27 4 1 1 1 1 6 4 3 10 13 13 2 4 2 6 40 2 37 15 23 1 17 5 5 1 6 47 44 265 21 22 11 8 23 2 3 7 65 1 13 7 6 1 28 1 10 4 2 6 365 6 4 3 5 8 44 5 12 4 3 48 17 24 2 17 9 7 12 42
Total civilians
0 4 23 22 5 8 1 0 0 1 1 0 0 5 1 0 0 4 0 1 8 1 11 6 6 0 5 0 0 0 0 18 11 75 7 12 7 4 11 1 0 0 2 0 6 3 0 0 8 0 1 0 0 6 164 8 5 6 7 13 4 6 9 3 1 31 9 13 0 16 9 6 1 17
398
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
ARIZONA .................
City
Palmer Petersburg Sand Point Seldovia Seward Sitka Skagway Soldotna St. Paul Unalaska Valdez Wasilla Whittier Wrangell Apache Junction Avondale Benson Bisbee Buckeye Bullhead City Camp Verde Casa Grande Chandler Chino Valley Clarkdale Clifton Colorado City Coolidge Cottonwood Douglas Eagar El Mirage Eloy Flagstaff Florence Fredonia Gilbert Glendale Globe Goodyear Hayden Holbrook Huachuca City Jerome Kearny Kingman Lake Havasu City Mammoth Marana Mesa Miami Nogales Oro Valley Page Paradise Valley Parker Patagonia Payson Peoria Phoenix Pima Pinetop-Lakeside Prescott Prescott Valley Quartzsite Safford Sahuarita San Luis Scottsdale Sedona Show Low Sierra Vista Snowflake-Taylor Somerton
Population
7,931 2,890 915 306 3,054 8,932 827 4,198 431 4,155 3,987 9,931 168 2,028 30,925 83,487 4,913 6,077 34,618 41,209 10,780 35,951 250,868 10,886 3,904 2,285 4,816 7,875 11,455 17,077 4,324 30,823 10,795 58,978 16,964 1,066 206,681 250,444 7,097 53,834 1,267 5,186 1,886 353 3,000 28,306 58,699 2,347 33,374 454,576 1,809 20,747 40,364 6,829 14,594 3,211 812 15,496 147,223 1,541,698 1,967 4,577 42,674 38,204 3,473 8,945 16,011 23,861 235,243 11,484 11,588 43,441 9,448 11,370
Total law enforcement employees 28 14 4 1 22 34 7 16 5 27 19 49 2 12 83 152 25 23 84 130 35 105 490 39 12 6 11 37 45 46 13 28 45 149 33 3 325 498 34 123 6 23 9 4 9 81 117 10 103 1,324 12 81 128 33 44 15 3 47 261 4,284 4 24 120 85 13 25 39 47 696 37 43 92 22 27
Total officers
14 8 3 1 9 18 3 14 2 14 10 22 2 5 49 97 15 16 58 79 23 73 314 27 10 3 6 26 28 31 8 24 35 98 21 3 221 370 25 89 5 16 4 4 5 55 89 7 77 831 8 62 95 23 34 13 3 32 170 3,151 4 15 74 67 12 21 32 33 433 28 29 65 14 17
Total civilians
14 6 1 0 13 16 4 2 3 13 9 27 0 7 34 55 10 7 26 51 12 32 176 12 2 3 5 11 17 15 5 4 10 51 12 0 104 128 9 34 1 7 5 0 4 26 28 3 26 493 4 19 33 10 10 2 0 15 91 1,133 0 9 46 18 1 4 7 14 263 9 14 27 8 10
State
ARKANSAS ..............
City
South Tucson Springerville St. Johns Surprise Tempe Thatcher Tolleson Tucson Wellton Wickenburg Willcox Williams Winslow Youngtown Yuma Alma Altheimer Arkadelphia Arkansas City Ashdown Atkins Augusta Austin Bald Knob Barling Bay Bearden Beebe Benton Bentonville Berryville Blytheville Bono Booneville Bradford Brinkley Bryant Bull Shoals Cabot Caddo Valley Camden Cammack Village Caraway Carlisle Cave City Cave Springs Centerton Charleston Cherokee Village Clarendon Clarksville Clinton Conway Corning Cotter Crossett Danville Dardanelle Decatur De Queen Dermott Des Arc De Witt Diaz Dierks Dover Dumas Earle El Dorado Elkins England Etowah Eudora Eureka Springs
Population
5,579 2,002 3,638 98,965 171,320 4,285 7,121 523,299 1,898 6,507 3,842 3,255 10,018 5,062 88,874 4,935 1,143 10,418 538 4,497 2,929 2,355 1,131 3,364 4,397 1,992 1,019 6,062 27,758 34,232 5,195 16,161 1,557 4,137 839 3,368 14,181 2,124 23,366 622 11,812 766 1,359 2,451 2,074 1,583 7,803 3,035 4,812 1,766 8,553 2,506 57,245 3,403 1,074 5,623 2,488 4,431 1,670 5,890 3,401 1,765 3,354 1,180 1,244 1,388 4,725 2,835 20,200 2,463 3,049 344 2,493 2,369
Total law enforcement employees 23 8 12 154 511 12 44 1,452 5 22 21 18 35 16 233 17 3 28 2 12 7 7 3 9 9 4 2 17 64 79 12 59 3 12 2 13 36 3 45 4 30 5 3 10 3 4 11 3 7 3 22 8 117 11 4 23 6 13 7 16 12 4 14 2 3 4 23 7 65 8 11 1 11 16
Total officers
18 6 9 106 338 11 34 1,056 5 14 10 11 26 14 156 9 3 22 1 11 6 7 3 5 9 3 2 10 55 53 10 42 3 8 2 9 28 3 33 4 20 4 3 6 3 3 10 3 6 3 18 7 102 7 3 14 5 9 7 13 7 4 8 2 3 4 10 5 48 8 6 1 5 11
Total civilians
5 2 3 48 173 1 10 396 0 8 11 7 9 2 77 8 0 6 1 1 1 0 0 4 0 1 0 7 9 26 2 17 0 4 0 4 8 0 12 0 10 1 0 4 0 1 1 0 1 0 4 1 15 4 1 9 1 4 0 3 5 0 6 0 0 0 13 2 17 0 5 0 6 5
SECTION V: LAW ENFORCEMENT PERSONNEL 399 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Fairfield Bay Farmington Fayetteville Flippin Fordyce Forrest City Fort Smith Gassville Gentry Glenwood Gosnell Gould Gravette Greenbrier Green Forest Greenland Greenwood Greers Ferry Gurdon Guy Hamburg Hampton Hardy Harrisburg Harrison Hazen Heber Springs Helena-West Helena Highland Hope Horseshoe Bend Hot Springs Hoxie Huntsville Jacksonville Jonesboro Judsonia Keiser Kensett Lake City Lakeview Lake Village Leachville Lepanto Lewisville Lincoln Little Flock Little Rock Lonoke Lowell Luxora Magnolia Malvern Mammoth Spring Mansfield Marianna Marion Marked Tree Marmaduke Marvell Maumelle Mayflower McCrory McGehee McRae Mena Mineral Springs Monette Monticello Morrilton Mountain Home Mountain View Mulberry Murfreesboro
Population
2,527 4,801 70,334 1,407 4,282 13,699 83,860 2,083 2,688 2,030 3,692 1,171 2,465 3,855 2,876 1,195 8,404 975 2,231 564 2,770 1,493 819 2,142 13,097 1,502 7,156 12,800 1,089 10,467 2,282 38,828 2,635 2,406 30,565 61,199 2,145 764 1,717 2,022 832 2,552 1,813 2,041 1,166 1,988 3,179 184,594 4,651 7,314 1,235 10,250 9,044 1,125 1,126 4,624 10,331 2,666 1,173 1,194 15,613 2,022 1,616 4,105 695 5,632 1,298 1,198 9,122 6,558 12,383 3,079 1,730 1,666
Total law enforcement employees 15 8 182 6 11 41 200 4 10 3 7 1 8 14 8 4 21 3 4 2 6 4 3 4 38 6 23 44 3 37 6 131 6 7 84 151 3 1 4 4 2 13 3 8 2 5 6 643 16 22 3 28 23 2 4 16 22 12 4 6 36 6 5 24 2 14 3 3 26 32 34 8 3 3
Total officers
8 7 120 6 7 33 159 4 8 3 7 1 8 10 6 4 21 2 3 1 5 4 3 4 28 5 14 31 3 26 6 98 5 6 72 133 2 1 4 4 2 8 3 4 2 5 6 527 11 15 3 21 20 2 4 11 21 7 4 3 26 6 5 9 2 13 3 3 21 20 25 7 3 3
Total civilians
7 1 62 0 4 8 41 0 2 0 0 0 0 4 2 0 0 1 1 1 1 0 0 0 10 1 9 13 0 11 0 33 1 1 12 18 1 0 0 0 0 5 0 4 0 0 0 116 5 7 0 7 3 0 0 5 1 5 0 3 10 0 0 15 0 1 0 0 5 12 9 1 0 0
State
CALIFORNIA...........
City
Nashville Newport North Little Rock Ola Osceola Ozark Pangburn Paragould Paris Pea Ridge Perryville Piggott Pine Bluff Plainview Plummerville Pocahontas Pottsville Prairie Grove Prescott Quitman Redfield Rison Rockport Rogers Rose Bud Russellville Salem Searcy Sheridan Sherwood Siloam Springs Smackover Springdale Star City Stuttgart Swifton Texarkana Trumann Tuckerman Van Buren Vilonia Waldron Walnut Ridge Ward Warren Weiner West Fork West Memphis White Hall Wynne Alameda Albany Alhambra Alturas Anaheim Anderson Antioch Arcadia Arcata Arroyo Grande Arvin Atascadero Atherton Atwater Auburn Azusa Bakersfield Baldwin Park Banning Barstow Bear Valley Beaumont Bell Bell Gardens
Population
4,862 7,129 58,680 1,232 7,920 3,587 671 24,562 3,674 4,269 1,450 3,603 51,304 773 870 6,893 2,528 3,415 4,653 741 1,171 1,324 812 54,223 453 26,319 1,558 21,304 4,495 23,703 14,659 1,911 65,695 2,253 9,197 797 30,156 6,821 1,673 22,238 3,085 3,636 4,631 3,659 6,182 741 2,259 28,137 5,196 8,481 70,445 15,889 87,729 2,924 335,133 10,629 101,973 56,967 16,929 16,485 15,228 27,465 7,307 27,762 13,072 47,403 318,743 78,943 30,163 23,957 4,567 30,093 37,420 45,451
Total law enforcement employees 16 23 214 3 37 10 2 49 14 9 5 9 155 1 4 14 5 9 10 4 5 3 6 122 3 58 3 52 29 80 47 4 153 5 27 2 122 23 6 57 7 10 9 7 18 1 7 98 14 18 142 34 133 7 582 31 168 99 32 36 22 42 26 44 34 86 502 108 56 52 16 60 47 72
Total officers
15 16 185 3 23 8 2 42 9 9 5 8 129 1 3 13 5 9 9 4 4 3 5 87 2 50 3 36 15 57 27 4 109 4 18 1 82 16 5 43 7 9 8 6 12 1 6 80 12 16 99 26 85 6 412 20 118 63 23 27 16 29 21 34 21 62 340 77 40 32 8 45 36 52
Total civilians
1 7 29 0 14 2 0 7 5 0 0 1 26 0 1 1 0 0 1 0 1 0 1 35 1 8 0 16 14 23 20 0 44 1 9 1 40 7 1 14 0 1 1 1 6 0 1 18 2 2 43 8 48 1 170 11 50 36 9 9 6 13 5 10 13 24 162 31 16 20 8 15 11 20
400
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Belmont Belvedere Benicia Berkeley Beverly Hills Bishop Blue Lake Blythe Brawley Brea Brentwood Brisbane Broadmoor Buena Park Burbank Burlingame Calexico California City Calipatria Calistoga Campbell Capitola Carlsbad Carmel Cathedral City Ceres Chico Chino Chowchilla Chula Vista City of Angels Claremont Clayton Clearlake Cloverdale Clovis Coalinga Colma Colton Colusa Concord Corcoran Corning Corona Coronado Costa Mesa Cotati Covina Crescent City Culver City Cypress Daly City Davis Delano Del Rey Oaks Desert Hot Springs Dinuba Dixon Dos Palos Downey East Palo Alto El Cajon El Centro El Cerrito Elk Grove El Monte El Segundo Emeryville Escalon Escondido Etna Eureka Exeter Fairfax
Population
24,605 2,065 26,544 101,343 35,133 3,566 1,110 22,696 22,666 39,041 52,238 3,575 4,345 79,890 104,871 27,489 38,928 13,443 7,743 5,217 37,429 9,432 95,056 3,905 53,953 43,427 74,288 80,699 18,772 218,718 3,949 35,250 11,252 15,133 8,319 92,592 17,801 1,436 51,924 5,901 122,202 23,715 7,348 153,518 26,888 109,835 7,272 47,961 7,909 39,474 47,741 100,632 61,238 52,051 1,545 23,890 19,926 17,883 5,000 109,642 33,210 91,302 40,957 22,514 138,103 124,182 16,533 9,041 7,439 133,429 785 25,347 10,307 7,091
Total law enforcement employees 44 8 51 281 193 20 5 40 40 145 75 21 11 139 246 61 71 22 6 15 64 34 157 21 87 66 148 146 27 352 10 64 12 31 22 160 27 26 100 9 214 27 22 276 61 249 20 89 13 155 79 149 92 64 6 31 46 31 9 156 40 221 72 50 187 224 99 56 15 229 3 77 18 16
Total officers
29 7 33 168 130 14 5 25 28 106 61 18 10 93 154 42 47 16 6 11 43 22 112 13 56 46 97 99 19 255 9 42 10 22 13 108 18 19 71 8 154 17 13 181 41 163 13 59 13 116 57 110 57 48 6 25 37 24 7 106 31 139 48 41 123 152 65 39 11 164 2 44 16 11
Total civilians
15 1 18 113 63 6 0 15 12 39 14 3 1 46 92 19 24 6 0 4 21 12 45 8 31 20 51 47 8 97 1 22 2 9 9 52 9 7 29 1 60 10 9 95 20 86 7 30 0 39 22 39 35 16 0 6 9 7 2 50 9 82 24 9 64 72 34 17 4 65 1 33 2 5
State
City
Fairfield Farmersville Ferndale Firebaugh Folsom Fontana Fort Bragg Fortuna Foster City Fountain Valley Fowler Fremont Fresno Fullerton Galt Gardena Garden Grove Gilroy Glendale Glendora Gonzales Grass Valley Greenfield Gridley Grover Beach Guadalupe Gustine Half Moon Bay Hanford Hawthorne Hayward Healdsburg Hemet Hercules Hermosa Beach Hillsborough Hollister Holtville Hughson Huntington Beach Huntington Park Huron Imperial Indio Inglewood Ione Irvine Irwindale Isleton Jackson Kensington Kerman King City Kingsburg Laguna Beach La Habra Lakeport Lake Shastina La Mesa La Palma La Verne Lemoore Lincoln Lindsay Livermore Livingston Lodi Lompoc Long Beach Los Alamitos Los Altos Los Angeles Los Banos Los Gatos
Population
106,098 10,219 1,398 7,036 68,320 176,490 6,780 11,312 28,958 55,973 5,236 201,318 472,170 133,855 23,967 59,951 166,414 49,343 200,049 50,495 8,795 12,525 14,484 5,982 12,761 6,621 5,243 12,370 49,694 85,609 140,603 10,955 71,825 25,636 19,676 10,697 35,812 5,372 6,791 195,067 62,269 7,301 12,506 81,909 115,223 7,721 201,872 1,474 800 4,468 5,327 12,795 11,237 11,483 24,215 59,290 5,291 2,364 52,801 15,821 33,549 23,461 47,236 10,925 80,253 13,286 63,218 39,697 473,959 11,725 27,451 3,870,487 36,123 28,320
Total law enforcement employees 197 17 4 16 109 275 23 23 55 80 12 292 1,254 226 45 111 244 98 376 103 15 38 19 21 29 15 10 23 65 138 307 30 111 29 63 34 34 8 7 353 100 17 20 136 268 6 265 35 6 12 11 21 22 21 81 105 15 5 92 31 71 38 46 18 146 29 106 71 1,377 26 46 12,869 69 61
Total officers
127 15 4 13 78 189 14 14 38 62 10 190 817 159 32 85 165 60 261 59 14 28 16 17 19 12 8 18 46 96 194 18 84 26 39 23 28 7 6 219 63 12 18 85 190 5 173 28 6 11 10 18 19 16 47 68 13 4 62 24 50 31 36 14 89 19 76 49 970 22 30 9,538 47 42
Total civilians
70 2 0 3 31 86 9 9 17 18 2 102 437 67 13 26 79 38 115 44 1 10 3 4 10 3 2 5 19 42 113 12 27 3 24 11 6 1 1 134 37 5 2 51 78 1 92 7 0 1 1 3 3 5 34 37 2 1 30 7 21 7 10 4 57 10 30 22 407 4 16 3,331 22 19
SECTION V: LAW ENFORCEMENT PERSONNEL 401 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Madera Mammoth Lakes Manhattan Beach Manteca Marina Martinez Marysville Maywood Menlo Park Merced Millbrae Mill Valley Milpitas Modesto Monrovia Montclair Montebello Monterey Monterey Park Moraga Morgan Hill Morro Bay Mountain View Mount Shasta Murrieta Napa National City Nevada City Newark Newman Newport Beach Novato Oakdale Oakland Oceanside Ontario Orange Orland Oroville Oxnard Pacifica Pacific Grove Palm Springs Palo Alto Palos Verdes Estates Paradise Parlier Pasadena Paso Robles Patterson Petaluma Piedmont Pinole Pismo Beach Pittsburg Placentia Placerville Pleasant Hill Pleasanton Pomona Porterville Port Hueneme Red Bluff Redding Redlands Redondo Beach Redwood City Reedley Rialto Richmond Ridgecrest Rio Dell Rio Vista Ripon
Population
56,797 7,449 37,061 65,857 18,048 35,538 11,903 28,796 29,867 78,186 20,425 13,280 64,498 208,067 38,148 35,893 63,071 28,674 62,472 17,034 36,415 10,100 69,999 3,584 98,051 75,266 61,996 3,014 41,781 10,436 80,377 52,067 19,890 396,541 166,424 175,537 135,818 7,168 13,579 186,367 37,176 14,772 48,542 57,696 13,828 26,381 13,391 145,553 28,490 19,620 54,624 10,478 18,844 8,369 63,913 50,428 10,142 33,233 66,707 155,161 46,621 21,804 14,111 91,328 71,358 67,909 73,435 23,098 100,451 102,471 26,351 3,174 7,778 14,683
Total law enforcement employees 78 26 92 101 40 52 33 51 72 148 25 28 113 375 78 84 119 68 113 15 52 22 145 14 117 111 125 12 80 16 234 79 40 1,078 297 336 234 14 36 356 52 29 153 153 34 41 18 368 53 22 98 28 48 32 95 72 30 66 114 325 79 32 37 170 153 153 131 41 145 232 48 8 18 36
Total officers
58 22 58 77 31 39 22 38 51 107 20 23 88 271 54 57 78 51 76 13 35 16 98 9 82 69 91 11 55 13 145 57 27 722 200 231 162 11 21 229 39 22 89 82 24 26 15 246 41 19 68 20 32 21 70 55 17 46 84 194 58 24 24 117 92 99 96 28 105 161 35 7 14 24
Total civilians
20 4 34 24 9 13 11 13 21 41 5 5 25 104 24 27 41 17 37 2 17 6 47 5 35 42 34 1 25 3 89 22 13 356 97 105 72 3 15 127 13 7 64 71 10 15 3 122 12 3 30 8 16 11 25 17 13 20 30 131 21 8 13 53 61 54 35 13 40 71 13 1 4 12
State
City
Riverbank Riverside Rocklin Rohnert Park Roseville Ross Sacramento Salinas San Anselmo San Bernardino San Bruno San Carlos Sand City San Diego San Fernando San Francisco San Gabriel Sanger San Jose San Leandro San Luis Obispo San Marino San Mateo San Pablo San Rafael San Ramon Santa Ana Santa Barbara Santa Clara Santa Cruz Santa Maria Santa Monica Santa Paula Santa Rosa Sausalito Scotts Valley Seal Beach Seaside Sebastopol Selma Shafter Sierra Madre Signal Hill Simi Valley Soledad Sonora South Gate South Lake Tahoe South Pasadena South San Francisco Stallion Springs St. Helena Stockton Suisun City Sunnyvale Susanville Sutter Creek Taft Tiburon Torrance Tracy Trinidad Truckee Tulare Tulelake Turlock Tustin Twin Cities Ukiah Union City Upland Vacaville Vallejo Ventura
Population
21,096 299,312 52,328 41,043 111,497 2,296 460,546 145,251 11,995 200,810 39,960 26,902 307 1,261,196 24,189 733,799 41,186 24,769 934,553 77,785 42,781 13,112 91,441 31,143 55,987 50,295 340,223 85,142 109,420 54,626 85,782 88,584 28,518 154,953 7,188 11,114 24,383 34,204 7,523 23,175 15,215 11,031 11,270 122,677 28,431 4,679 98,701 23,872 24,967 61,458 1,643 5,899 297,170 27,010 130,326 18,192 2,851 9,198 8,721 142,970 84,151 314 16,404 53,352 982 70,386 69,945 21,050 15,367 69,769 74,049 93,167 116,763 104,523
Total law enforcement employees 23 576 84 101 198 8 1,026 231 24 499 61 35 10 2,675 50 2,679 69 37 1,784 139 91 30 152 57 102 75 666 202 211 112 154 390 45 255 23 25 41 60 22 51 30 20 48 189 27 21 136 56 50 109 3 17 630 34 287 18 8 22 17 324 127 2 28 98 3 107 146 45 39 108 120 176 198 182
Total officers
19 402 55 74 128 8 712 174 18 330 45 28 9 1,924 35 2,337 55 27 1,396 91 62 25 114 56 73 56 363 132 137 85 101 209 34 171 18 19 30 43 15 35 20 15 32 125 22 17 91 35 36 75 3 13 387 23 223 16 8 13 13 234 87 2 24 68 3 68 94 34 28 80 79 111 145 134
Total civilians
4 174 29 27 70 0 314 57 6 169 16 7 1 751 15 342 14 10 388 48 29 5 38 1 29 19 303 70 74 27 53 181 11 84 5 6 11 17 7 16 10 5 16 64 5 4 45 21 14 34 0 4 243 11 64 2 0 9 4 90 40 0 4 30 0 39 52 11 11 28 41 65 53 48
402
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
COLORADO.............
City
Vernon Visalia Walnut Creek Watsonville Weed West Covina Westminster Westmorland West Sacramento Wheatland Whittier Williams Willits Willows Winters Woodlake Woodland Yreka Yuba City Alamosa Arvada Aspen Ault Aurora Avon Basalt Bayfield Berthoud Black Hawk Boulder Breckenridge Brighton Broomfield Brush Buena Vista Burlington Calhan Campo Canon City Carbondale Castle Rock Cedaredge Centennial Center Central City Cherry Hills Village Collbran Colorado Springs Columbine Valley Commerce City Cortez Craig Crested Butte Cripple Creek Dacono De Beque Del Norte Delta Denver Dillon Durango Eagle Eaton Edgewater Elizabeth Empire Englewood Erie Estes Park Evans Firestone Fort Collins Fort Lupton Fort Morgan
Population
91 116,766 63,568 49,031 3,050 108,097 89,700 2,242 46,245 3,824 84,038 4,895 5,051 6,304 6,817 7,435 51,355 7,536 61,881 8,714 105,197 5,700 1,419 307,621 6,517 3,093 1,823 5,142 106 91,047 2,822 31,215 46,393 5,216 2,149 3,454 865 131 16,198 6,128 43,523 2,270 97,746 2,452 514 6,218 418 374,112 1,274 42,386 8,513 9,262 1,557 1,062 3,865 485 1,660 8,473 573,387 777 15,785 5,275 4,281 5,117 1,509 332 32,362 15,759 6,078 19,420 8,463 130,935 7,464 10,774
Total law enforcement employees 69 183 104 80 16 171 142 5 106 6 179 12 17 13 13 16 91 22 102 28 221 32 6 746 19 11 5 9 36 252 26 69 187 10 8 9 3 1 47 15 72 6 156 6 7 24 2 984 6 107 51 29 8 16 12 3 6 19 1,917 8 64 11 9 18 6 1 99 20 27 33 25 235 23 34
Total officers
51 128 70 60 10 113 98 5 71 6 128 10 11 11 11 14 65 16 67 24 151 22 6 610 17 8 5 8 23 167 23 54 107 8 6 8 3 1 35 13 53 4 120 5 6 20 2 669 6 83 28 23 6 12 10 3 5 14 1,561 7 53 10 8 15 5 1 69 18 19 29 21 161 18 28
Total civilians
18 55 34 20 6 58 44 0 35 0 51 2 6 2 2 2 26 6 35 4 70 10 0 136 2 3 0 1 13 85 3 15 80 2 2 1 0 0 12 2 19 2 36 1 1 4 0 315 0 24 23 6 2 4 2 0 1 5 356 1 11 1 1 3 1 0 30 2 8 4 4 74 5 6
State
City
Fountain Fowler Fraser/Winter Park Frederick Frisco Fruita Georgetown Glendale Glenwood Springs Golden Grand Junction Greeley Green Mountain Falls Greenwood Village Gunnison Haxtun Hayden Holyoke Hotchkiss Hugo Idaho Springs Ignacio Johnstown Kersey Kiowa Kremmling Lafayette La Junta Lakeside Lakewood Lamar La Salle Las Animas La Veta Leadville Limon Littleton Lochbuie Log Lane Village Lone Tree Longmont Louisville Loveland Mancos Manitou Springs Manzanola Meeker Milliken Minturn Monte Vista Monument Morrison Mountain View Mount Crested Butte Nederland New Castle Northglenn Oak Creek Olathe Ouray Pagosa Springs Palisade Palmer Lake Paonia Parachute Parker Platteville Pueblo Rangely Ridgway Rifle Rocky Ford Salida Sheridan
Population
20,012 1,125 1,621 8,541 2,509 7,115 1,050 4,800 8,904 17,244 47,235 90,707 794 13,744 5,296 1,000 1,521 2,297 1,099 757 1,779 624 9,021 1,421 609 1,545 24,340 7,198 19 139,407 8,287 1,927 2,503 883 2,690 1,785 40,343 4,390 1,009 9,349 84,278 18,335 62,586 1,242 5,085 490 2,309 6,380 1,141 4,102 2,633 405 517 772 1,323 3,526 33,226 784 1,739 908 1,699 2,756 2,306 1,635 1,217 44,624 2,646 103,958 2,089 753 8,699 4,096 5,394 5,443
Total law enforcement employees 53 4 9 21 15 17 3 36 29 58 181 260 2 85 28 2 5 4 3 3 9 7 15 4 2 5 46 20 5 437 24 6 5 5 9 6 89 7 2 42 190 38 131 4 22 5 3 10 4 15 17 3 7 8 4 7 81 1 7 5 10 7 6 4 9 77 7 246 9 3 24 10 16 34
Total officers
40 3 8 18 13 15 3 23 23 41 107 145 2 60 15 2 5 4 3 3 7 7 13 4 2 5 37 14 5 300 19 6 4 4 7 5 65 6 2 38 136 33 90 3 18 4 3 9 3 10 13 2 6 7 3 6 67 1 6 5 9 6 5 4 7 54 6 192 4 3 19 8 15 25
Total civilians
13 1 1 3 2 2 0 13 6 17 74 115 0 25 13 0 0 0 0 0 2 0 2 0 0 0 9 6 0 137 5 0 1 1 2 1 24 1 0 4 54 5 41 1 4 1 0 1 1 5 4 1 1 1 1 1 14 0 1 0 1 1 1 0 2 23 1 54 5 0 5 2 1 9
SECTION V: LAW ENFORCEMENT PERSONNEL 403 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
CONNECTICUT.......
City
Silt Silverthorne Simla Snowmass Village South Fork Springfield Steamboat Springs Sterling Stratton Telluride Thornton Trinidad Vail Victor Walsenburg Walsh Westminster Wheat Ridge Wiggins Windsor Woodland Park Wray Yuma Ansonia Avon Berlin Bethel Bloomfield Branford Bridgeport Bristol Brookfield Canton Cheshire Clinton Coventry Cromwell Danbury Darien Derby East Hampton East Hartford East Haven Easton East Windsor Enfield Fairfield Farmington Glastonbury Granby Greenwich Groton Groton Long Point Groton Town Guilford Hamden Hartford Madison Manchester Meriden Middlebury Middletown Milford Monroe Naugatuck New Britain New Canaan New Haven Newington New London New Milford Newtown North Branford North Haven
Population
2,516 3,812 728 1,732 552 1,323 9,233 12,549 622 2,274 113,289 9,135 4,622 419 3,914 661 106,383 30,718 960 17,031 6,747 2,156 3,245 18,620 17,526 20,380 18,670 20,759 29,074 137,655 61,292 16,498 10,252 28,868 13,695 12,292 13,612 79,893 20,501 12,465 12,666 48,752 28,755 7,455 10,650 45,229 57,889 25,190 33,179 11,285 62,196 9,314 669 29,377 22,462 57,982 124,558 18,873 55,774 59,607 7,232 47,743 55,404 19,599 31,994 70,630 20,009 124,034 29,567 25,890 28,890 27,262 14,527 24,168
Total law enforcement employees 8 19 3 14 3 3 37 25 1 15 183 31 56 5 20 1 264 94 2 21 28 8 8 50 37 51 46 57 63 528 152 40 20 55 27 19 34 153 57 34 17 169 50 18 29 114 114 59 75 19 176 38 12 70 42 128 494 36 145 133 17 111 118 48 66 160 52 498 62 94 59 52 29 57
Total officers
6 16 3 10 3 3 23 20 1 10 147 21 26 4 11 1 178 69 2 18 19 7 7 43 32 41 34 46 49 424 125 30 15 44 24 14 25 148 51 31 15 133 47 15 22 95 108 43 59 14 153 29 9 66 35 107 411 26 113 119 11 98 102 37 54 149 47 413 49 80 45 45 23 48
Total civilians
2 3 0 4 0 0 14 5 0 5 36 10 30 1 9 0 86 25 0 3 9 1 1 7 5 10 12 11 14 104 27 10 5 11 3 5 9 5 6 3 2 36 3 3 7 19 6 16 16 5 23 9 3 4 7 21 83 10 32 14 6 13 16 11 12 11 5 85 13 14 14 7 6 9
State
DELAWARE .............
City
Norwalk Norwich Old Saybrook Orange Plainfield Plainville Plymouth Portland Putnam Redding Ridgefield Rocky Hill Seymour Shelton Simsbury Southington South Windsor Stamford Stonington Stratford Suffield Thomaston Torrington Trumbull Vernon Wallingford Waterbury Waterford Watertown West Hartford West Haven Weston Westport Wethersfield Willimantic Wilton Winchester Windsor Windsor Locks Wolcott Woodbridge Bethany Beach Blades Bridgeville Camden Cheswold Clayton Dagsboro Delaware City Delmar Dewey Beach Dover Elsmere Felton Fenwick Island Georgetown Greenwood Harrington Laurel Lewes Milford Millsboro Milton Newark New Castle Newport Ocean View Rehoboth Beach Seaford Selbyville Smyrna South Bethany Wilmington Wyoming
Population
84,343 36,353 10,597 13,942 15,538 17,294 12,225 9,707 9,352 8,990 24,040 18,923 16,327 40,425 23,674 42,522 26,214 119,510 18,261 49,440 15,334 7,972 35,997 35,055 29,843 44,979 107,241 18,780 22,419 60,644 52,770 10,277 26,704 25,977 16,272 17,879 10,888 28,712 12,475 16,419 9,261 947 1,006 1,597 2,484 460 1,438 566 1,520 1,498 313 35,133 5,721 857 359 4,964 891 3,276 3,842 3,137 7,995 2,532 1,803 30,158 4,960 1,106 1,109 1,562 7,121 1,761 8,185 516 72,842 1,311
Total law enforcement employees 186 99 27 52 23 41 18 11 17 22 49 43 39 63 43 78 55 356 48 112 24 16 93 82 63 93 361 50 47 141 131 16 85 58 47 48 27 63 30 33 34 10 3 9 16 5 9 2 3 13 10 121 11 4 6 22 2 11 16 13 38 13 11 81 18 9 7 30 35 7 28 6 386 3
Total officers
169 83 19 41 18 33 18 10 14 16 43 34 37 54 33 61 42 293 36 109 19 13 79 71 50 72 298 43 36 122 118 15 63 47 42 44 22 52 24 24 26 9 3 7 14 5 8 2 2 12 8 91 10 4 5 20 2 10 15 12 28 12 10 65 16 8 6 19 26 6 21 6 302 3
Total civilians
17 16 8 11 5 8 0 1 3 6 6 9 2 9 10 17 13 63 12 3 5 3 14 11 13 21 63 7 11 19 13 1 22 11 5 4 5 11 6 9 8 1 0 2 2 0 1 0 1 1 2 30 1 0 1 2 0 1 1 1 10 1 1 16 2 1 1 11 9 1 7 0 84 0
404
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
DISTRICT OF COLUMBIA .............. FLORIDA ..................
City
Washington Alachua Altamonte Springs Altha Apalachicola Apopka Arcadia Astatula Atlantic Beach Atlantis Auburndale Aventura Avon Park Bal Harbour Village Bartow Bay Harbor Island Belleair Belleair Beach Belleair Bluffs Belle Glade Belleview Biscayne Park Blountstown Boca Raton Bonifay Bowling Green Boynton Beach Bradenton Bradenton Beach Brooksville Bunnell Bushnell Cape Coral Carrabelle Casselberry Cedar Grove Cedar Key Center Hill Chattahoochee Chiefland Chipley Clearwater Clermont Clewiston Cocoa Cocoa Beach Coconut Creek Coleman Cooper City Coral Gables Coral Springs Cottondale Crescent City Crestview Cross City Crystal River Cutler Bay Dade City Dania Davenport Davie Daytona Beach Daytona Beach Shores Deerfield Beach De Funiak Springs Deland Delray Beach Doral Dundee Dunedin Dunnellon Eagle Lake Eatonville
Population
588,292 8,833 40,513 516 2,331 36,895 7,151 1,747 13,256 2,131 13,236 30,782 9,135 3,211 16,594 4,996 4,149 1,611 2,197 15,231 4,074 3,049 2,443 86,868 2,712 2,972 69,469 54,253 1,557 7,651 1,639 2,200 159,936 1,290 24,663 5,201 1,008 1,009 3,807 2,133 3,768 107,501 12,385 7,402 16,704 12,128 51,033 714 30,182 42,794 131,307 883 1,827 18,753 1,838 3,590 40,468 7,079 29,011 2,056 87,007 64,236 5,063 76,469 4,987 26,610 65,262 21,356 3,148 36,702 2,016 2,650 2,265
Total law enforcement employees
4,494 27 125 1 9 91 24 5 36 19 45 111 38 36 69 29 13 3 3 41 17 12 12 269 6 6 222 152 10 29 16 10 358 6 68 5 5 3 11 14 13 365 63 25 82 53 123 2 71 257 294 3 7 63 5 20 43 31 71 10 225 290 36 154 26 77 225 85 13 39 11 6 16
Total officers
3,907 21 102 1 8 81 19 5 24 14 34 75 25 28 44 23 11 3 3 37 15 11 8 181 5 6 158 122 10 20 14 9 257 6 52 3 5 3 10 11 12 257 48 16 59 35 85 2 51 185 195 3 5 50 5 16 41 23 63 9 164 229 25 125 20 57 151 83 8 38 9 6 14
Total civilians
587 6 23 0 1 10 5 0 12 5 11 36 13 8 25 6 2 0 0 4 2 1 4 88 1 0 64 30 0 9 2 1 101 0 16 2 0 0 1 3 1 108 15 9 23 18 38 0 20 72 99 0 2 13 0 4 2 8 8 1 61 61 11 29 6 20 74 2 5 1 2 0 2
State
City
Edgewater Edgewood El Portal Eustis Fellsmere Fernandina Beach Flagler Beach Florida City Fort Lauderdale Fort Meade Fort Myers Fort Pierce Fort Walton Beach Frostproof Fruitland Park Gainesville Golden Beach Graceville Greenacres City Green Cove Springs Greensboro Gretna Groveland Gulf Breeze Gulfport Gulf Stream Haines City Hallandale Hampton Havana Hialeah Hialeah Gardens Highland Beach High Springs Hillsboro Beach Holly Hill Hollywood Holmes Beach Homestead Howey-in-the-Hills Hypoluxo Indialantic Indian Creek Village Indian Harbour Beach Indian River Shores Indian Rocks Beach Indian Shores Inglis Interlachen Jacksonville Jacksonville Beach Jasper Jennings Juno Beach Jupiter Jupiter Inlet Colony Jupiter Island Kenneth City Key Biscayne Key Colony Beach Key West Kissimmee Lady Lake Lake Alfred Lake City Lake Clarke Shores Lake Hamilton Lake Helen Lakeland Lake Mary Lake Park Lake Placid Lake Wales Lake Worth
Population
21,898 2,084 2,384 18,685 4,850 11,423 2,874 9,704 187,995 5,741 61,810 39,456 19,245 2,915 3,983 108,289 893 2,432 33,042 6,541 610 1,635 6,519 6,563 12,508 751 18,172 40,147 453 1,703 215,853 19,705 4,106 4,260 2,357 13,510 146,673 5,086 58,074 1,274 2,680 2,997 39 8,516 3,488 5,227 4,292 1,658 1,533 797,350 21,801 1,836 841 3,395 50,294 392 653 4,356 9,968 787 22,968 62,880 13,838 4,280 12,257 3,397 1,440 2,795 91,009 15,234 8,919 1,867 14,227 36,029
Total law enforcement employees 35 11 10 56 9 44 14 42 644 22 276 140 65 7 13 333 21 8 72 23 1 2 32 27 39 10 63 129 3 14 484 47 15 16 16 31 497 20 149 6 4 17 15 26 20 6 13 6 3 2,871 80 8 1 19 141 5 21 15 38 6 126 207 42 15 49 11 7 8 344 52 26 10 48 120
Total officers
32 10 10 42 8 35 12 33 459 15 200 106 52 6 12 263 18 6 50 18 1 2 22 19 29 10 41 92 3 10 363 35 14 11 13 27 320 13 106 6 4 11 11 19 19 6 11 5 3 1,639 59 7 1 14 107 5 16 13 27 6 93 138 29 10 37 11 6 7 232 37 24 8 41 91
Total civilians
3 1 0 14 1 9 2 9 185 7 76 34 13 1 1 70 3 2 22 5 0 0 10 8 10 0 22 37 0 4 121 12 1 5 3 4 177 7 43 0 0 6 4 7 1 0 2 1 0 1,232 21 1 0 5 34 0 5 2 11 0 33 69 13 5 12 0 1 1 112 15 2 2 7 29
SECTION V: LAW ENFORCEMENT PERSONNEL 405 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Lantana Largo Lauderdale-by-the-Sea Lauderdale Lakes Lauderhill Lawtey Leesburg Lighthouse Point Live Oak Longboat Key Longwood Lynn Haven Madeira Beach Madison Maitland Manalapan Mangonia Park Marco Island Margate Marianna Mascotte Medley Melbourne Melbourne Beach Melbourne Village Mexico Beach Miami Miami Beach Miami Gardens Miami Lakes Miami Shores Miami Springs Milton Minneola Miramar Monticello Mount Dora Mulberry Naples Neptune Beach New Port Richey New Smyrna Beach Niceville North Bay Village North Lauderdale North Miami North Miami Beach North Palm Beach North Port North Redington Beach Oak Hill Oakland Oakland Park Ocala Ocean Ridge Ocoee Okeechobee Oldsmar Opa Locka Orange City Orange Park Orlando Ormond Beach Oviedo Pahokee Palatka Palm Bay Palm Beach Palm Beach Gardens Palm Beach Shores Palmetto Palmetto Bay Palm Springs Panama City
Population
10,475 73,789 6,010 32,003 59,743 692 20,401 11,364 7,100 7,387 13,482 16,110 4,408 3,210 14,130 342 1,259 16,235 56,261 6,293 5,485 1,043 77,678 3,208 680 1,339 410,252 86,742 98,762 22,139 9,814 12,860 8,257 9,646 114,029 2,565 11,897 3,192 22,109 6,833 17,393 23,067 12,354 8,279 42,767 57,368 38,790 12,509 56,539 1,506 1,596 1,128 42,486 53,490 1,678 31,604 6,010 13,656 15,695 9,485 9,108 224,417 38,792 31,269 6,656 11,130 100,666 9,738 51,053 1,523 14,188 23,287 15,720 36,840
Total law enforcement employees 36 190 27 72 140 1 95 42 21 25 46 39 6 13 51 12 15 34 182 20 14 37 234 10 5 7 1,381 518 168 48 42 51 28 17 232 12 50 77 118 26 47 61 24 35 65 165 154 42 111 3 7 10 91 233 19 88 26 11 37 25 28 1,030 92 76 17 43 256 127 147 16 46 41 51 133
Total officers
27 140 23 57 117 1 70 33 17 18 37 28 6 12 41 7 14 32 114 14 13 30 171 9 5 6 1,061 364 145 46 32 41 21 16 171 8 36 18 75 19 36 51 19 26 56 127 113 32 81 3 7 9 81 152 14 64 20 11 24 22 22 739 67 59 15 35 164 73 113 11 35 38 39 92
Total civilians
9 50 4 15 23 0 25 9 4 7 9 11 0 1 10 5 1 2 68 6 1 7 63 1 0 1 320 154 23 2 10 10 7 1 61 4 14 59 43 7 11 10 5 9 9 38 41 10 30 0 0 1 10 81 5 24 6 0 13 3 6 291 25 17 2 8 92 54 34 5 11 3 12 41
State
City
Panama City Beach Parker Parkland Pembroke Park Pembroke Pines Pensacola Perry Pinellas Park Plantation Plant City Pompano Beach Ponce Inlet Port Orange Port Richey Port St. Joe Port St. Lucie Punta Gorda Quincy Redington Beaches Riviera Beach Rockledge Royal Palm Beach Safety Harbor Sanford Sanibel Sarasota Satellite Beach Sea Ranch Lakes Sebastian Sebring Seminole Sewall's Point Shalimar Sneads South Bay South Daytona South Miami South Palm Beach South Pasadena Southwest Ranches Springfield Starke St. Augustine St. Augustine Beach St. Cloud St. Pete Beach St. Petersburg Stuart Sunny Isles Beach Sunrise Surfside Sweetwater Tallahassee Tamarac Tampa Tarpon Springs Tavares Temple Terrace Tequesta Titusville Treasure Island Trenton Umatilla Valparaiso Venice Vero Beach Village of Pinecrest Virginia Gardens Waldo Wauchula Webster Welaka Wellington West Melbourne
Population
14,755 4,613 25,062 4,991 151,817 52,837 6,801 47,419 86,346 31,985 104,989 3,294 56,155 3,421 3,627 154,036 17,552 6,904 1,506 36,795 24,910 32,441 17,366 50,757 5,777 52,986 9,987 763 20,913 10,749 19,330 2,035 712 1,936 4,667 13,529 11,071 1,501 5,634 7,449 8,963 5,896 12,118 6,001 24,791 10,105 248,069 16,385 15,190 91,480 4,599 13,436 159,943 61,366 337,220 23,523 13,351 22,546 6,018 44,467 7,575 1,866 2,812 6,047 21,329 16,840 19,027 2,221 767 4,517 865 714 57,713 16,012
Total law enforcement employees 61 10 31 13 320 198 24 124 286 84 297 18 94 18 12 316 52 39 3 153 63 61 10 143 43 247 31 11 55 39 13 8 4 9 9 33 60 10 6 14 20 28 61 14 93 44 710 64 59 234 43 25 487 84 1,311 65 40 72 22 127 28 3 10 14 67 82 70 8 7 19 3 1 58 44
Total officers
47 9 28 13 243 158 22 101 181 68 215 12 80 12 10 242 36 26 3 110 44 57 10 123 24 192 22 7 40 33 13 8 4 5 8 25 51 10 6 14 14 20 50 12 64 31 490 45 45 173 30 21 358 69 983 48 29 50 16 89 20 2 9 10 48 58 51 6 6 14 3 1 54 32
Total civilians
14 1 3 0 77 40 2 23 105 16 82 6 14 6 2 74 16 13 0 43 19 4 0 20 19 55 9 4 15 6 0 0 0 4 1 8 9 0 0 0 6 8 11 2 29 13 220 19 14 61 13 4 129 15 328 17 11 22 6 38 8 1 1 4 19 24 19 2 1 5 0 0 4 12
406
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
GEORGIA .................
City
West Miami Weston West Palm Beach West Park White Springs Wildwood Williston Wilton Manors Windermere Winter Garden Winter Haven Winter Park Winter Springs Zephyrhills Zolfo Springs Abbeville Adairsville Alamo Albany Alma Alpharetta Americus Aragon Athens-Clarke County Atlanta Austell Baldwin Ball Ground Barnesville Bartow Baxley Bloomingdale Blythe Boston Bowdon Bremen Buchanan Buena Vista Byron Cairo Calhoun Camilla Carrollton Cartersville Cave Spring Centerville Chamblee Chatsworth Chickamauga Clarkesville Claxton Cleveland Climax Cochran College Park Colquitt Columbus Commerce Conyers Coolidge Cornelia Covington Cumming Dalton Danielsville Darien Davisboro Dillard Donalsonville Doraville Douglasville Dublin Duluth Eastman
Population
5,725 68,230 101,322 14,917 825 3,211 2,833 12,937 2,037 29,284 31,556 28,114 32,817 12,998 1,693 2,604 3,199 2,756 75,137 3,511 43,909 16,448 1,071 113,389 497,290 6,976 2,980 910 5,987 285 4,444 2,644 802 1,448 1,991 5,622 1,010 1,711 3,801 9,655 14,522 5,599 22,149 17,680 1,015 7,123 11,038 4,100 2,535 1,646 2,399 2,535 291 4,788 20,573 1,918 188,944 6,189 12,704 558 3,822 14,680 6,150 33,790 449 1,727 1,556 250 2,685 10,364 30,422 17,434 26,272 5,524
Total law enforcement employees 21 100 409 32 2 25 20 39 13 77 115 109 90 48 4 3 12 4 212 12 142 44 5 287 2,177 31 13 3 20 2 16 14 1 2 12 24 10 5 21 25 49 19 75 57 4 21 46 17 4 7 9 10 1 17 130 11 473 32 60 2 20 63 23 112 2 5 1 3 11 63 101 57 69 15
Total officers
17 70 305 29 2 18 12 30 12 61 75 87 70 34 3 3 10 4 183 10 114 36 4 227 1,701 22 9 3 17 1 13 11 1 2 8 22 9 5 18 22 41 16 64 47 4 18 33 14 4 6 8 10 1 15 102 9 377 24 46 2 17 54 17 94 2 5 1 3 8 42 83 49 53 14
Total civilians
4 30 104 3 0 7 8 9 1 16 40 22 20 14 1 0 2 0 29 2 28 8 1 60 476 9 4 0 3 1 3 3 0 0 4 2 1 0 3 3 8 3 11 10 0 3 13 3 0 1 1 0 0 2 28 2 96 8 14 0 3 9 6 18 0 0 0 0 3 21 18 8 16 1
State
City
East Point Eatonton Edison Elberton Ellaville Emerson Eton Euharlee Fairburn Fitzgerald Folkston Forest Park Forsyth Fort Gaines Fort Oglethorpe Fort Valley Franklin Gainesville Garden City Gordon Gray Greensboro Griffin Grovetown Guyton Hagan Hahira Hampton Hapeville Helen Hephzibah Hinesville Hiram Hoboken Hogansville Holly Springs Homeland Irwinton Ivey Jackson Jefferson Kennesaw Kingsland LaGrange Lake City Lakeland Lake Park Lawrenceville Leesburg Lilburn Lincolnton Lithonia Lookout Mountain Ludowici Macon Madison Manchester Marietta McDonough McIntyre McRae Midway Milledgeville Millen Milner Milton Monroe Montezuma Morrow Moultrie Mount Airy Nashville Newton Ocilla
Population
42,497 6,727 1,232 4,655 1,824 1,372 506 4,190 10,369 9,152 3,248 22,174 4,174 1,027 9,809 8,107 876 34,494 9,387 2,086 2,222 3,243 23,478 8,476 1,906 1,057 2,148 5,167 6,149 791 4,306 29,466 1,959 531 2,930 6,897 802 577 1,067 4,478 6,906 32,643 12,705 27,867 2,733 2,795 583 29,797 2,939 11,567 1,535 2,356 1,561 1,637 93,205 3,913 3,808 63,523 18,504 707 4,492 1,030 19,896 3,525 587 15,464 12,813 3,969 5,425 15,375 680 4,830 863 3,211
Total law enforcement employees 176 20 3 22 4 7 3 12 39 37 6 72 25 6 34 37 10 123 43 11 12 21 125 18 2 2 5 18 36 13 5 99 17 3 17 16 2 2 2 19 25 81 42 94 17 9 3 90 12 36 5 9 6 11 376 12 16 166 44 5 8 3 62 8 1 25 43 13 36 42 1 15 2 13
Total officers
124 13 3 19 4 7 3 11 33 29 5 62 19 6 31 33 8 102 38 6 11 17 97 18 1 2 4 16 23 10 5 77 15 2 11 16 2 1 2 14 21 50 39 80 16 7 2 71 10 28 5 6 6 7 277 11 11 133 40 5 7 2 40 8 1 23 37 11 32 37 1 12 2 12
Total civilians
52 7 0 3 0 0 0 1 6 8 1 10 6 0 3 4 2 21 5 5 1 4 28 0 1 0 1 2 13 3 0 22 2 1 6 0 0 1 0 5 4 31 3 14 1 2 1 19 2 8 0 3 0 4 99 1 5 33 4 0 1 1 22 0 0 2 6 2 4 5 0 3 0 1
SECTION V: LAW ENFORCEMENT PERSONNEL 407 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
HAWAII...................... IDAHO .......................
City
Oglethorpe Oxford Palmetto Patterson Peachtree City Pelham Pembroke Pineview Pooler Porterdale Port Wentworth Powder Springs Reidsville Reynolds Richmond Hill Rincon Roberta Rockmart Rome Rossville Roswell Royston Sandersville Sandy Springs Savannah-Chatham Metropolitan Senoia Shiloh Smithville Smyrna Snellville Statesboro Stone Mountain Suwanee Sycamore Sylvania Sylvester Tallapoosa Temple Thomaston Thomasville Thomson Tifton Tignall Toccoa Toomsboro Trion Tunnel Hill Tybee Island Tyrone Union City Valdosta Vidalia Wadley Warm Springs Warner Robins Warrenton Washington Watkinsville Waycross West Point Willacoochee Winder Woodbury Wrens Zebulon Honolulu Aberdeen American Falls Bellevue Blackfoot Boise Bonners Ferry Buhl
Population
Total law enforcement employees
Total officers
Total civilians
1,130 2,480 5,103 678 35,431 3,902 2,519 526 12,815 1,784 3,396 15,285 2,458 1,013 10,324 7,371 771 4,480 36,233 3,473 88,879 2,730 6,134 85,830
5 4 16 2 60 14 9 1 32 6 26 38 9 6 34 16 3 21 105 11 186 24 22 129
4 4 14 2 56 13 7 1 27 6 23 32 8 6 28 14 3 19 91 10 126 21 19 111
1 0 2 0 4 1 2 0 5 0 3 6 1 0 6 2 0 2 14 1 60 3 3 18
208,116 3,213 436 974 49,259 20,414 26,001 7,575 14,959 529 2,522 5,874 3,157 4,350 9,101 19,108 6,922 16,803 639 9,054 611 2,060 1,095 3,774 6,696 17,217 45,712 11,253 1,970 474 60,116 1,954 4,093 2,810 14,738 3,349 1,519 13,607 1,075 2,251 1,230 905,903 1,805 4,244 2,238 11,084 199,104 2,736 4,028
706 10 1 3 129 57 76 20 43 1 15 22 17 11 28 65 16 60 2 31 1 9 3 25 17 79 154 38 8 2 138 8 16 7 68 20 4 43 10 14 6 2,548 8 9 2 27 378 8 10
516 9 1 2 97 47 63 19 34 1 11 16 16 9 24 59 13 51 1 30 1 8 3 17 16 61 134 29 5 1 104 8 15 7 57 15 4 34 6 8 6 2,049 5 8 1 24 306 8 8
190 1 0 1 32 10 13 1 9 0 4 6 1 2 4 6 3 9 1 1 0 1 0 8 1 18 20 9 3 1 34 0 1 0 11 5 0 9 4 6 0 499 3 1 1 3 72 0 2
State
ILLINOIS ...................
City
Caldwell Cascade Chubbuck Coeur d'Alene Cottonwood Emmett Filer Fruitland Garden City Gooding Grangeville Hagerman Hailey Heyburn Homedale Idaho City Idaho Falls Jerome Kamiah Kellogg Ketchum Kimberly Lewiston McCall Meridian Montpelier Moscow Mountain Home Nampa Orofino Osburn Parma Payette Pinehurst Pocatello Ponderay Post Falls Preston Priest River Rathdrum Rexburg Rigby Rupert Salmon Sandpoint Shelley Soda Springs Spirit Lake St. Anthony St. Maries Sun Valley Twin Falls Weiser Wendell Wilder Abingdon Addison Albany Albion Aledo Algonquin Alorton Alsip Altamont Alton Amboy Anna Annawan Antioch Arcola Arlington Heights Arthur Ashland Assumption
Population
38,713 1,018 11,039 42,324 1,062 6,385 1,919 4,603 11,452 3,267 3,171 763 7,984 2,749 2,585 495 53,049 8,778 1,150 2,279 3,258 2,807 31,356 2,644 64,294 2,460 22,503 11,686 80,397 3,103 1,448 1,842 7,686 1,608 54,274 720 25,622 5,147 1,950 6,551 28,308 3,332 5,158 3,054 8,413 4,249 3,149 1,656 3,383 2,657 1,455 41,236 5,425 2,448 1,451 3,318 37,143 914 1,834 3,626 30,986 2,556 18,833 2,245 29,101 2,571 5,060 931 14,308 2,641 73,802 2,145 1,342 1,218
Total law enforcement employees 73 6 31 85 1 14 5 10 35 9 6 2 15 7 6 1 121 17 2 8 25 7 65 14 89 3 41 31 173 7 2 4 13 4 127 6 56 7 4 15 47 8 16 8 26 8 7 6 7 5 10 94 15 5 3 4 91 1 3 8 54 12 56 6 90 3 8 1 46 6 145 5 1 1
Total officers
58 5 19 67 1 13 5 9 27 7 6 2 14 6 6 1 88 15 2 7 12 7 45 11 70 3 33 23 126 6 2 4 11 4 86 5 34 6 4 12 35 7 15 7 21 8 6 5 7 5 9 63 13 4 3 4 66 1 3 7 46 10 42 6 66 3 8 1 27 5 111 5 1 1
Total civilians
15 1 12 18 0 1 0 1 8 2 0 0 1 1 0 0 33 2 0 1 13 0 20 3 19 0 8 8 47 1 0 0 2 0 41 1 22 1 0 3 12 1 1 1 5 0 1 1 0 0 1 31 2 1 0 0 25 0 0 1 8 2 14 0 24 0 0 0 19 1 34 0 0 0
408
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Athens Atkinson Atlanta Atwood Auburn Aurora Aviston Bannockburn Barrington Hills Barrington-Inverness Bartlett Bartonville Batavia Beardstown Beckemeyer Bedford Park Beecher Belleville Bellwood Belvidere Benld Bensenville Benton Berkeley Berwyn Bethalto Bloomingdale Bloomington Blue Island Blue Mound Bolingbrook Bourbonnais Bradley Braidwood Breese Bridgeport Bridgeview Brighton Broadview Brookfield Brooklyn Buda Buffalo Grove Bull Valley Bunker Hill Burbank Burnham Burr Ridge Byron Cahokia Cairo Calumet City Calumet Park Cambridge Camp Point Canton Carbondale Carlinville Carlyle Carmi Carol Stream Carpentersville Carrier Mills Carrollton Carterville Carthage Cary Casey Caseyville Catlin Central City Centralia Centreville Chadwick
Population
1,810 960 1,651 1,231 4,234 174,724 1,707 1,643 4,376 17,770 40,873 6,121 27,855 5,936 1,092 537 3,086 40,953 19,163 26,404 1,478 20,434 6,963 4,918 50,385 9,777 21,995 71,770 22,419 1,030 71,959 17,784 14,385 6,823 4,348 2,139 14,913 2,386 7,695 18,144 629 575 43,222 802 1,774 27,634 4,018 11,129 3,905 15,302 3,166 37,170 7,965 2,099 1,186 14,729 24,760 5,713 3,405 5,333 40,003 38,394 1,836 2,452 5,268 2,512 20,301 2,950 4,247 2,056 1,333 13,643 5,748 478
Total law enforcement employees 3 2 1 3 10 367 1 7 29 39 67 16 52 12 1 44 10 101 44 49 4 37 10 20 134 22 65 164 57 1 172 28 47 19 8 2 46 6 30 37 7 1 86 3 3 72 14 31 8 46 12 118 30 1 2 32 78 18 8 10 85 81 2 6 7 3 33 8 14 1 4 36 13 1
Total officers
3 2 1 3 6 289 1 7 19 32 50 11 43 8 1 37 9 82 41 44 4 29 9 16 104 15 48 122 40 1 122 21 33 13 7 2 44 4 24 31 6 1 71 3 2 53 9 27 7 33 7 85 23 1 2 23 60 13 7 9 62 67 2 6 7 3 27 7 10 1 4 27 10 1
Total civilians
0 0 0 0 4 78 0 0 10 7 17 5 9 4 0 7 1 19 3 5 0 8 1 4 30 7 17 42 17 0 50 7 14 6 1 0 2 2 6 6 1 0 15 0 1 19 5 4 1 13 5 33 7 0 0 9 18 5 1 1 23 14 0 0 0 0 6 1 4 0 0 9 3 0
State
City
Champaign Channahon Charleston Chatham Chenoa Cherry Valley Chester Chicago Chicago Heights Chicago Ridge Chillicothe Christopher Cicero Clarendon Hills Clinton Coal City Coal Valley Cobden Colfax Collinsville Colona Columbia Cordova Cortland Coulterville Country Club Hills Countryside Crest Hill Crestwood Crete Creve Coeur Crystal Lake Cuba Dallas City Danvers Danville Darien Decatur Deerfield De Kalb De Pue De Soto Des Plaines Divernon Dixmoor Dixon Dolton Downers Grove Dupo Du Quoin Durand Dwight Earlville East Alton East Carondelet East Dubuque East Dundee East Galesburg East Hazel Crest East Moline East Peoria East St. Louis Edwardsville Effingham Elburn Eldorado Elgin Elizabeth Elk Grove Village Elmhurst Elmwood Elmwood Park El Paso Elwood
Population
74,167 14,460 20,048 10,252 3,213 2,254 7,768 2,824,434 30,818 13,459 5,789 2,841 81,311 8,681 7,307 5,422 4,029 1,108 995 25,713 5,277 9,281 697 3,756 1,170 16,820 5,804 21,759 11,155 9,168 5,204 42,014 1,358 996 1,131 32,607 22,553 76,383 19,828 43,058 1,773 1,568 57,048 1,130 3,786 15,258 24,054 49,090 4,044 6,423 1,083 4,329 1,862 6,536 628 1,979 3,155 787 1,550 21,089 22,537 29,159 24,543 12,454 5,048 4,398 102,960 666 33,512 45,545 1,874 24,144 2,798 2,412
Total law enforcement employees 152 25 34 20 3 14 12 14,736 113 35 13 5 165 16 14 10 8 3 1 55 11 22 2 4 1 48 32 29 3 21 9 72 2 2 1 77 55 195 52 77 3 4 125 2 12 28 58 111 7 15 1 10 3 17 1 7 15 1 10 48 54 85 52 34 10 11 259 1 106 89 1 43 5 12
Total officers
121 21 32 15 3 14 9 13,671 84 31 8 5 141 15 13 9 7 3 1 40 10 15 2 4 1 34 26 27 2 19 7 60 2 2 1 62 38 162 39 63 3 3 101 2 7 25 43 79 7 11 1 9 3 12 1 7 14 1 9 38 40 60 39 21 9 7 189 1 93 67 1 36 5 11
Total civilians
31 4 2 5 0 0 3 1,065 29 4 5 0 24 1 1 1 1 0 0 15 1 7 0 0 0 14 6 2 1 2 2 12 0 0 0 15 17 33 13 14 0 1 24 0 5 3 15 32 0 4 0 1 0 5 0 0 1 0 1 10 14 25 13 13 1 4 70 0 13 22 0 7 0 1
SECTION V: LAW ENFORCEMENT PERSONNEL 409 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Energy Erie Eureka Evanston Evergreen Park Fairbury Fairfield Fairmont City Fairview Fairview Heights Farmer City Farmington Fisher Flora Flossmoor Ford Heights Forest Park Forest View Fox Lake Fox River Grove Frankfort Franklin Park Freeburg Freeport Fulton Galena Galesburg Galva Geneseo Geneva Genoa Georgetown Germantown Gibson City Gifford Gilberts Gillespie Gilman Girard Glasford Glen Carbon Glencoe Glendale Heights Glen Ellyn Glenview Glenwood Golf Grafton Granite City Grant Park Granville Grayslake Grayville Greenfield Greenup Greenville Gurnee Hamilton Hampshire Hampton Hanover Hanover Park Harrisburg Hartford Harvard Harvey Harwood Heights Havana Hawthorn Woods Hazel Crest Hebron Henry Herrin Herscher
Population
1,193 1,566 5,193 75,746 19,513 3,837 5,135 2,277 474 16,825 2,010 2,467 1,706 4,770 9,404 3,230 15,281 725 11,296 5,147 18,089 18,116 4,208 25,092 3,855 3,387 31,470 2,664 6,523 24,660 4,860 3,478 1,105 3,302 1,018 6,621 3,219 1,771 2,210 1,026 12,629 9,044 32,400 27,309 46,790 8,547 454 727 30,411 1,627 1,347 21,799 1,605 1,104 1,493 7,144 31,201 2,811 4,616 1,792 787 37,006 9,543 1,474 9,947 28,297 8,099 3,399 8,022 14,198 1,229 2,481 11,892 1,566
Total law enforcement employees 4 3 6 217 68 9 17 10 1 50 6 5 2 16 24 4 52 11 31 11 33 56 11 71 8 12 78 3 20 48 11 5 1 11 1 9 10 3 5 1 27 44 81 46 91 23 4 3 67 5 2 35 6 1 4 14 88 4 11 4 2 74 15 5 25 89 36 13 17 34 5 4 23 3
Total officers
4 3 6 162 56 8 13 8 1 40 3 5 2 11 19 3 38 8 26 11 29 51 10 54 7 9 49 3 13 37 10 5 1 6 1 8 7 3 5 1 19 34 54 38 78 22 4 3 57 5 2 29 2 1 4 10 61 4 11 4 2 52 14 4 19 61 26 9 16 29 5 4 16 3
Total civilians
0 0 0 55 12 1 4 2 0 10 3 0 0 5 5 1 14 3 5 0 4 5 1 17 1 3 29 0 7 11 1 0 0 5 0 1 3 0 0 0 8 10 27 8 13 1 0 0 10 0 0 6 4 0 0 4 27 0 0 0 0 22 1 1 6 28 10 4 1 5 0 0 7 0
State
City
Hickory Hills Highland Highland Park Highwood Hillsboro Hillside Hinckley Hinsdale Hodgkins Hoffman Estates Homer Hometown Homewood Hoopeston Hopedale Huntley Hutsonville Indian Head Park Island Lake Itasca Jacksonville Jerome Jerseyville Johnsburg Johnston City Joliet Jonesboro Justice Kankakee Kenilworth Kewanee Kildeer Kincaid Kirkland Knoxville Lacon La Grange La Grange Park Lake Bluff Lake Forest Lake in the Hills Lakemoor Lake Villa Lakewood Lake Zurich La Moille Lanark Lansing La Salle Lebanon Leland Leland Grove Lemont Le Roy Lewistown Lexington Libertyville Lincoln Lincolnshire Lincolnwood Lindenhurst Lisle Litchfield Livingston Lockport Lombard Loves Park Ludlow Lynwood Lyons Machesney Park Mackinaw Macomb Madison
Population
13,377 9,500 31,797 5,469 6,252 7,619 2,049 18,285 2,038 52,888 1,127 4,153 18,622 5,689 918 23,778 603 3,648 8,583 8,468 19,372 1,293 8,331 6,661 3,438 148,484 1,841 12,673 26,326 2,412 12,505 4,153 1,475 1,743 2,965 1,878 15,374 12,503 6,312 21,486 30,208 5,606 9,044 3,849 20,673 754 1,467 26,923 9,470 4,134 957 1,441 15,812 3,450 2,411 1,872 22,120 14,747 7,520 11,888 14,914 23,472 6,770 786 25,368 42,811 24,280 362 7,927 10,401 22,665 1,674 18,420 4,562
Total law enforcement employees 37 28 81 14 8 35 3 37 23 123 1 5 43 16 2 35 1 11 22 31 50 8 21 11 3 389 2 32 88 14 31 24 1 3 5 3 38 29 22 59 57 9 18 9 56 1 2 81 29 12 1 6 33 6 4 3 57 26 35 44 18 55 24 1 48 90 35 1 24 34 25 1 29 15
Total officers
29 20 60 12 8 27 3 27 21 104 1 1 38 11 2 29 1 10 16 23 39 8 15 10 3 302 2 26 73 11 24 22 1 3 5 3 29 23 16 41 42 9 17 8 38 1 2 63 23 12 1 6 29 6 4 3 41 25 24 33 16 42 16 1 41 73 32 1 17 27 24 1 26 11
Total civilians
8 8 21 2 0 8 0 10 2 19 0 4 5 5 0 6 0 1 6 8 11 0 6 1 0 87 0 6 15 3 7 2 0 0 0 0 9 6 6 18 15 0 1 1 18 0 0 18 6 0 0 0 4 0 0 0 16 1 11 11 2 13 8 0 7 17 3 0 7 7 1 0 3 4
410
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Mahomet Manhattan Manito Manteno Marengo Marion Marissa Markham Maroa Marquette Heights Marseilles Marshall Martinsville Maryville Mascoutah Mason City Matteson Mattoon Maywood McCook McCullom Lake McHenry McLean McLeansboro Melrose Park Mendota Meredosia Metamora Metropolis Midlothian Milan Milledgeville Millstadt Minier Minonk Minooka Mokena Moline Momence Monee Monmouth Montgomery Monticello Morris Morrison Morton Morton Grove Mount Carmel Mount Carroll Mount Morris Mount Olive Mount Prospect Mount Pulaski Mount Sterling Mount Vernon Mount Zion Moweaqua Mundelein Murphysboro Naperville Nashville Nauvoo Neoga New Athens New Baden New Lenox Newman Newton Niles Nokomis Normal Norridge North Aurora Northbrook
Population
6,030 6,662 1,667 8,597 7,676 17,459 2,008 12,196 1,548 2,834 4,927 3,721 1,231 7,284 6,278 2,417 17,004 17,219 25,304 239 1,080 26,526 781 2,766 22,124 7,044 985 3,267 6,406 13,751 5,192 935 3,296 1,251 2,170 11,068 18,858 42,773 3,029 5,158 9,060 15,581 5,374 13,475 4,345 15,826 22,468 7,588 1,671 3,100 2,078 53,849 1,600 1,941 16,417 5,092 1,843 33,339 8,182 144,933 3,067 1,177 1,763 2,016 3,150 25,008 921 2,988 28,928 2,301 51,458 13,973 15,603 34,227
Total law enforcement employees 8 11 4 18 21 38 4 48 4 5 13 10 2 18 14 5 47 55 71 21 2 64 1 5 102 20 1 5 22 32 20 2 7 2 3 20 35 110 9 12 31 31 7 35 7 30 60 17 3 5 5 106 2 8 59 11 2 70 24 297 8 3 3 5 5 44 1 7 74 4 90 54 32 86
Total officers
7 10 4 17 16 28 4 41 4 5 8 9 2 13 13 5 38 42 57 16 2 48 1 5 73 15 1 5 17 27 15 2 7 2 3 18 32 84 9 11 21 22 6 26 7 22 46 12 3 4 3 85 2 5 46 8 2 52 17 188 7 3 3 5 5 40 1 6 61 3 77 38 30 61
Total civilians
1 1 0 1 5 10 0 7 0 0 5 1 0 5 1 0 9 13 14 5 0 16 0 0 29 5 0 0 5 5 5 0 0 0 0 2 3 26 0 1 10 9 1 9 0 8 14 5 0 1 2 21 0 3 13 3 0 18 7 109 1 0 0 0 0 4 0 1 13 1 13 16 2 25
State
City
North Chicago Northfield Northlake North Pekin North Riverside Oak Brook Oakbrook Terrace Oak Forest Oak Lawn Oak Park Oakwood Oblong O'Fallon Oglesby Okawville Olney Olympia Fields Oregon Orion Orland Hills Orland Park Oswego Ottawa Palatine Palestine Palos Heights Palos Hills Palos Park Pana Paris Park City Park Forest Park Ridge Pawnee Paxton Pecatonica Pekin Peoria Peoria Heights Peotone Peru Petersburg Phoenix Pinckneyville Piper City Pittsfield Plainfield Plano Polo Pontiac Pontoon Beach Port Barrington Port Byron Posen Potomac Princeton Prophetstown Prospect Heights Quincy Rankin Rantoul Raymond Red Bud Richmond Richton Park Ridge Farm Ridgway Riverdale River Forest River Grove Riverside Robbins Robinson Rochelle
Population
33,823 5,483 11,164 1,588 6,270 8,893 2,440 27,951 53,571 49,968 1,450 1,543 26,384 3,641 1,341 8,396 4,699 4,189 1,710 7,377 56,139 28,794 19,161 67,550 1,344 12,746 17,073 4,753 5,486 8,818 6,774 22,763 36,762 2,538 4,547 2,218 33,298 113,137 6,209 4,312 9,833 2,184 2,032 5,456 744 4,526 36,144 10,164 2,513 11,276 6,094 1,556 1,673 4,981 660 7,560 1,943 16,133 39,946 592 12,224 919 3,586 2,534 12,992 867 880 14,332 11,132 10,088 8,329 6,261 6,398 9,818
Total law enforcement employees 72 29 50 2 36 63 23 54 146 152 1 1 62 11 3 19 21 10 3 14 127 60 45 137 2 29 35 13 12 24 12 50 72 10 7 3 63 288 16 11 31 5 3 8 1 6 75 20 4 25 21 1 2 17 1 17 4 29 92 1 39 1 6 5 29 1 2 46 34 28 22 14 15 28
Total officers
55 20 34 2 27 40 21 42 102 122 1 1 47 8 3 13 19 9 3 13 97 49 34 110 2 27 33 12 8 18 10 41 59 6 7 3 54 247 12 10 24 5 1 7 1 6 51 18 4 23 15 1 2 15 1 16 3 26 76 1 31 1 6 5 25 1 2 36 31 23 17 6 14 21
Total civilians
17 9 16 0 9 23 2 12 44 30 0 0 15 3 0 6 2 1 0 1 30 11 11 27 0 2 2 1 4 6 2 9 13 4 0 0 9 41 4 1 7 0 2 1 0 0 24 2 0 2 6 0 0 2 0 1 1 3 16 0 8 0 0 0 4 0 0 10 3 5 5 8 1 7
SECTION V: LAW ENFORCEMENT PERSONNEL 411 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Rochester Rockdale Rock Falls Rockford Rock Island Rockton Rolling Meadows Romeoville Roodhouse Roscoe Roselle Rosemont Rossville Round Lake Round Lake Beach Round Lake Heights Round Lake Park Roxana Royalton Rushville Salem Sandwich Sauget Sauk Village Savanna Schaumburg Schiller Park Seneca Sesser Shawneetown Shelbyville Sheridan Sherman Shiloh Shorewood Silvis Skokie Sleepy Hollow Smithton Somonauk South Barrington South Beloit South Chicago Heights South Elgin Southern View South Holland South Jacksonville South Pekin South Roxana Sparta Springfield Spring Grove Spring Valley St. Anne Staunton St. Charles Steger Sterling St. Francisville Stickney Stockton Stone Park Stonington Streamwood Streator Sugar Grove Sullivan Summit Sumner Swansea Sycamore Taylorville Thomson Thornton
Population
3,109 2,058 9,428 155,713 38,275 5,431 23,547 39,718 2,163 9,156 23,171 3,962 1,170 18,722 28,598 2,581 6,256 1,488 1,180 3,110 7,500 7,156 241 10,409 3,225 72,320 11,432 2,092 2,144 1,339 4,677 2,206 3,712 10,913 14,754 7,881 67,148 3,725 3,259 1,622 3,986 5,510 3,822 21,750 1,639 21,256 3,304 1,215 1,803 4,330 117,185 5,810 5,369 1,236 5,188 33,284 10,718 15,284 748 5,813 1,804 4,827 911 37,666 13,860 10,111 4,345 10,274 2,023 12,832 16,910 11,163 531 2,408
Total law enforcement employees 8 5 24 335 113 14 80 84 8 17 52 96 2 27 49 4 16 6 2 4 22 19 15 34 8 173 39 7 5 4 8 3 6 17 30 21 140 7 5 4 18 16 12 43 4 44 6 2 5 17 314 12 14 3 10 69 24 41 1 19 4 23 1 70 32 18 10 37 2 27 30 29 1 11
Total officers
8 5 18 304 85 13 54 63 4 15 36 75 2 21 39 4 14 5 2 4 14 13 14 25 8 125 33 3 4 4 7 3 6 16 26 14 109 6 5 4 15 14 8 33 4 42 5 2 5 11 267 10 11 3 7 55 17 29 1 14 4 18 1 58 23 17 8 31 2 20 27 24 1 10
Total civilians
0 0 6 31 28 1 26 21 4 2 16 21 0 6 10 0 2 1 0 0 8 6 1 9 0 48 6 4 1 0 1 0 0 1 4 7 31 1 0 0 3 2 4 10 0 2 1 0 0 6 47 2 3 0 3 14 7 12 0 5 0 5 0 12 9 1 2 6 0 7 3 5 0 1
State
INDIANA...................
City
Tilton Tinley Park Tolono Tremont Trenton Troy Tuscola University Park Urbana Valmeyer Vandalia Venice Vernon Hills Vienna Villa Grove Villa Park Virden Virginia Wamac Warren Warrensburg Warrenville Warsaw Washburn Washington Washington Park Waterloo Waterman Watseka Wauconda Waukegan Wayne Westchester West Chicago West City West Dundee Western Springs West Frankfort Westmont West Salem Westville Wheaton Wheeling White Hall Williamsfield Williamsville Willowbrook Willow Springs Wilmette Wilmington Winchester Winfield Winnebago Winnetka Winthrop Harbor Witt Wonder Lake Wood Dale Woodhull Woodridge Wood River Woodstock Worden Worth Yates City Yorkville Zeigler Zion Albion Alexandria Anderson Angola Attica Auburn
Population
2,807 60,075 2,794 2,080 2,682 9,733 4,587 8,499 38,771 1,203 6,802 2,417 24,800 1,335 2,477 22,559 3,429 1,687 1,284 1,398 1,180 13,167 1,621 1,106 13,620 5,639 9,636 1,335 5,525 12,177 92,609 2,418 15,877 27,176 748 8,373 12,576 8,321 25,083 946 3,028 54,488 36,455 2,539 584 1,394 8,838 6,094 26,612 6,273 1,599 10,212 3,153 12,433 7,289 982 3,171 13,507 808 34,893 10,885 23,155 1,023 10,494 680 13,850 1,688 25,176 2,356 5,840 57,189 7,979 3,361 12,902
Total law enforcement employees 3 104 4 3 5 24 8 19 68 2 18 11 69 4 5 53 10 1 2 4 3 37 4 2 27 9 15 2 11 39 221 4 48 65 8 24 29 18 57 1 3 90 92 8 1 2 30 23 64 20 2 22 7 35 16 1 4 51 1 79 25 52 1 26 1 34 4 67 7 17 141 21 6 29
Total officers
3 78 4 3 5 18 7 16 55 2 13 8 48 4 4 38 6 1 2 3 3 30 3 2 20 6 13 2 10 25 164 4 35 48 4 21 21 13 43 1 3 69 64 5 1 2 26 17 46 14 2 20 7 26 10 1 3 34 1 57 19 40 1 24 1 29 4 51 6 13 120 17 6 22
Total civilians
0 26 0 0 0 6 1 3 13 0 5 3 21 0 1 15 4 0 0 1 0 7 1 0 7 3 2 0 1 14 57 0 13 17 4 3 8 5 14 0 0 21 28 3 0 0 4 6 18 6 0 2 0 9 6 0 1 17 0 22 6 12 0 2 0 5 0 16 1 4 21 4 0 7
412
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Austin Avon Bargersville Batesville Bedford Beech Grove Berne Bicknell Bloomington Bluffton Boonville Brazil Bremen Brownsburg Burns Harbor Carmel Cedar Lake Charlestown Chesterfield Chesterton Clarksville Clinton Columbia City Columbus Connersville Corydon Covington Crawfordsville Crown Point Culver Danville Decatur Delphi Dyer East Chicago Edinburgh Elkhart Elwood Evansville Fairmount Fishers Fort Wayne Fowler Frankfort Franklin Garrett Gary Gas City Georgetown Goshen Greencastle Greendale Greenfield Greensburg Greenwood Griffith Hagerstown Hammond Hartford City Hebron Highland Hobart Huntingburg Huntington Indianapolis Jasonville Jasper Jeffersonville Kendallville Knox Kokomo Kouts Lafayette Lake Station
Population
4,641 10,197 2,647 6,501 13,557 13,975 4,108 3,253 68,918 9,448 6,750 8,238 4,719 19,494 1,060 62,037 10,350 7,217 2,755 12,746 21,295 4,896 8,227 39,764 14,099 2,793 2,459 15,156 24,072 1,523 8,033 9,507 2,969 15,713 30,353 4,593 52,779 9,013 114,985 2,746 66,099 248,423 2,254 16,431 22,778 5,742 97,048 5,774 2,851 32,210 10,111 4,391 17,884 10,570 46,063 16,370 1,646 77,662 6,493 3,634 22,879 28,428 6,107 16,767 797,268 2,497 14,098 29,412 10,232 3,699 45,832 1,829 61,257 13,401
Total law enforcement employees 5 23 6 16 43 41 8 13 121 31 15 16 16 44 6 116 21 20 7 26 45 10 20 84 33 7 6 46 51 4 17 21 11 34 132 15 143 22 313 9 89 493 3 42 56 16 321 14 4 62 18 15 45 27 72 40 5 261 15 6 48 72 11 45 1,883 5 30 65 27 7 143 5 158 30
Total officers
5 21 6 11 32 30 7 7 86 20 14 12 12 36 5 97 16 15 6 21 35 8 18 74 32 7 6 32 39 4 15 17 7 26 114 10 118 17 279 5 83 457 3 31 40 12 246 10 4 57 16 11 35 18 50 31 5 210 13 5 39 56 10 34 1,605 5 21 56 18 7 107 5 122 24
Total civilians
0 2 0 5 11 11 1 6 35 11 1 4 4 8 1 19 5 5 1 5 10 2 2 10 1 0 0 14 12 0 2 4 4 8 18 5 25 5 34 4 6 36 0 11 16 4 75 4 0 5 2 4 10 9 22 9 0 51 2 1 9 16 1 11 278 0 9 9 9 0 36 0 36 6
State
City
La Porte Lawrence Lawrenceburg Ligonier Linton Logansport Long Beach Loogootee Lowell Madison Marion Martinsville Merrillville Michigan City Mishawaka Mitchell Monticello Mooresville Mount Vernon Muncie Munster Nappanee New Albany New Castle New Chicago New Haven New Whiteland Noblesville North Liberty North Manchester North Vernon Oakland City Peru Plainfield Plymouth Portage Portland Prince's Lakes Princeton Rensselaer Richmond Rochester Roseland Rushville Salem Schererville Scottsburg Sellersburg Seymour Shelbyville South Bend South Whitley Speedway St. John Sullivan Tell City Terre Haute Tipton Union City Valparaiso Vincennes Wabash Walkerton Warsaw Washington Waterloo Westfield West Lafayette West Terre Haute Westville Whiting Winchester Winona Lake
Population
21,178 42,196 4,783 4,470 5,787 18,995 1,544 2,661 8,319 12,657 30,288 11,805 32,091 32,008 49,196 4,624 5,401 11,639 7,145 64,921 22,467 7,118 36,840 18,577 2,012 13,733 5,658 41,927 1,351 5,887 6,407 2,584 12,677 25,722 11,192 36,701 6,149 1,567 8,700 6,276 37,129 6,464 625 5,570 6,558 29,494 5,982 6,163 19,246 18,416 104,437 1,865 12,357 12,237 4,481 7,561 56,946 5,181 3,418 29,764 17,905 11,021 2,186 13,154 11,266 2,194 14,037 29,045 2,236 5,194 4,793 4,705 4,314
Total law enforcement employees 49 59 25 10 14 54 6 5 19 33 82 29 62 110 139 10 17 25 15 117 49 22 69 38 6 28 13 79 4 16 20 4 31 47 29 74 17 3 18 15 89 20 4 18 17 61 13 20 54 50 335 4 47 25 7 19 142 14 14 59 41 33 10 42 25 7 38 62 9 3 25 16 5
Total officers
40 53 20 9 10 44 5 4 14 25 69 20 49 92 102 6 12 19 14 110 38 15 66 35 2 20 8 67 4 11 17 4 29 42 24 58 13 3 17 9 77 14 4 13 12 48 13 15 39 38 264 4 34 19 7 12 129 12 8 48 36 27 6 35 18 6 33 46 8 3 18 11 5
Total civilians
9 6 5 1 4 10 1 1 5 8 13 9 13 18 37 4 5 6 1 7 11 7 3 3 4 8 5 12 0 5 3 0 2 5 5 16 4 0 1 6 12 6 0 5 5 13 0 5 15 12 71 0 13 6 0 7 13 2 6 11 5 6 4 7 7 1 5 16 1 0 7 5 0
SECTION V: LAW ENFORCEMENT PERSONNEL 413 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
IOWA ..........................
City
Adel Albia Algona Altoona Ames Anamosa Ankeny Atlantic Audubon Belle Plaine Belmond Bettendorf Bloomfield Boone Burlington Camanche Carlisle Carroll Carter Lake Cedar Falls Cedar Rapids Centerville Chariton Charles City Cherokee Clarinda Clarion Clear Lake Clinton Clive Coralville Council Bluffs Cresco Creston Davenport Decorah Denison Des Moines De Witt Dubuque Dyersville Eagle Grove Eldora Eldridge Emmetsburg Estherville Evansdale Fairfield Forest City Fort Dodge Fort Madison Garner Glenwood Grinnell Grundy Center Hampton Harlan Hawarden Hiawatha Humboldt Independence Indianola Iowa City Iowa Falls Jefferson Johnston Keokuk Knoxville Le Claire Le Mars Leon Manchester Maquoketa Marion
Population
4,135 3,615 5,443 13,882 51,622 5,675 40,546 6,842 2,166 2,895 2,387 32,501 2,575 12,768 25,258 4,298 3,599 9,976 3,304 36,995 124,730 5,662 4,554 7,574 4,911 5,558 2,796 7,848 26,937 14,231 18,496 60,531 3,763 7,401 99,631 8,066 7,427 192,948 5,360 57,694 4,186 3,424 2,789 4,685 3,633 6,276 4,998 9,354 4,202 25,330 10,841 2,990 5,816 9,408 2,581 4,226 5,111 2,426 6,642 4,379 6,118 14,399 62,700 5,040 4,337 15,622 10,585 7,434 3,181 9,375 1,923 4,958 6,006 31,772
Total law enforcement employees 9 7 15 24 72 8 52 16 3 4 5 57 5 18 58 7 6 21 10 45 218 17 7 20 9 13 8 20 55 26 36 124 7 16 209 19 17 498 10 101 10 7 4 7 7 11 8 19 8 42 23 5 10 17 3 12 9 4 12 7 11 21 102 15 7 22 33 13 7 16 3 13 17 49
Total officers
8 6 10 22 50 7 43 14 3 4 5 44 5 17 41 7 5 15 9 43 187 12 6 13 8 9 7 15 46 23 32 106 7 12 163 12 12 382 10 95 6 7 4 7 6 11 7 13 8 37 18 5 9 15 3 7 8 4 11 7 11 19 73 11 7 21 23 11 6 14 3 9 11 40
Total civilians
1 1 5 2 22 1 9 2 0 0 0 13 0 1 17 0 1 6 1 2 31 5 1 7 1 4 1 5 9 3 4 18 0 4 46 7 5 116 0 6 4 0 0 0 1 0 1 6 0 5 5 0 1 2 0 5 1 0 1 0 0 2 29 4 0 1 10 2 1 2 0 4 6 9
State
KANSAS.....................
City
Marshalltown Mason City Missouri Valley Monticello Mount Pleasant Mount Vernon Muscatine Nevada New Hampton Newton North Liberty Norwalk Oelwein Ogden Onawa Orange City Osage Osceola Oskaloosa Ottumwa Pella Perry Pleasant Hill Pleasantville Polk City Prairie City Rock Rapids Rock Valley Sac City Sergeant Bluff Sheldon Shenandoah Sioux Center Sioux City Spencer Spirit Lake St. Ansgar State Center Storm Lake Story City Tama Tipton Urbandale Vinton Washington Waterloo Waukee Waukon Waverly Webster City West Burlington West Des Moines West Liberty West Union Williamsburg Wilton Windsor Heights Winterset Abilene Alma Altamont Andale Andover Anthony Arkansas City Arma Atchison Attica Atwood Augusta Baldwin City Basehor Baxter Springs Bel Aire
Population
25,958 27,541 2,870 3,738 8,918 4,210 22,705 6,275 3,464 15,459 10,826 8,413 6,273 2,005 2,838 5,897 3,447 4,782 11,033 24,822 10,280 9,001 7,458 1,622 3,098 1,459 2,579 3,005 2,157 4,009 4,863 5,172 6,693 82,942 11,015 4,783 975 1,356 9,855 3,187 2,577 3,103 38,381 5,239 7,264 65,607 11,945 4,013 9,396 8,004 3,376 54,988 3,695 2,436 2,831 2,862 4,506 4,970 6,419 754 1,060 835 9,955 2,217 11,342 1,484 10,138 587 1,104 8,715 4,255 3,742 4,164 6,739
Total law enforcement employees 59 54 6 7 15 6 38 10 7 30 9 13 16 3 6 7 6 8 17 41 20 19 15 3 6 3 2 4 4 9 7 9 7 154 28 10 1 1 22 5 5 6 50 8 11 129 13 6 17 17 9 78 7 1 6 4 14 8 16 1 3 2 26 5 34 5 25 1 2 32 10 13 13 13
Total officers
43 49 6 6 13 6 35 9 7 24 9 11 11 3 6 7 6 7 15 35 14 13 14 3 6 3 2 4 4 8 7 6 7 126 20 9 1 1 18 5 5 6 46 8 10 120 12 6 16 13 9 63 6 1 6 4 13 8 14 1 3 2 19 5 25 5 23 1 2 24 9 11 9 12
Total civilians
16 5 0 1 2 0 3 1 0 6 0 2 5 0 0 0 0 1 2 6 6 6 1 0 0 0 0 0 0 1 0 3 0 28 8 1 0 0 4 0 0 0 4 0 1 9 1 0 1 4 0 15 1 0 0 0 1 0 2 0 0 0 7 0 9 0 2 0 0 8 1 2 4 1
414
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Belle Plaine Belleville Beloit Benton Bonner Springs Buhler Burden Burlingame Burrton Bushton Caldwell Canton Carbondale Cawker City Cedar Vale Chanute Chapman Chase Cheney Cherokee Chetopa Claflin Clay Center Coffeyville Colby Coldwater Columbus Colwich Concordia Conway Springs Council Grove Derby Dodge City Eastborough Edwardsville El Dorado Elkhart Ellinwood Ellis Ellsworth Elwood Emporia Enterprise Erie Eudora Fairway Florence Fort Scott Fredonia Frontenac Galena Galva Garden City Garden Plain Gardner Garnett Girard Goddard Goodland Grandview Plaza Great Bend Halstead Harper Haven Hays Haysville Herington Hesston Hiawatha Hill City Hillsboro Hoisington Holcomb Holton
Population
1,576 1,869 3,591 817 7,121 1,336 544 1,002 897 290 1,181 800 1,434 457 637 8,822 1,262 455 1,973 711 1,227 641 4,305 10,280 4,854 752 3,216 1,380 5,229 1,221 2,273 21,531 26,236 788 4,565 12,693 1,969 1,985 1,849 2,869 1,144 26,125 811 1,146 6,323 3,815 633 7,922 2,446 3,134 3,150 804 26,949 842 16,658 3,272 2,645 3,836 4,289 995 15,562 1,907 1,431 1,170 19,672 10,227 2,459 3,666 3,207 1,415 2,694 2,816 1,880 3,364
Total law enforcement employees 5 5 8 1 27 3 1 2 2 1 3 2 3 1 1 24 4 1 4 1 4 1 7 32 17 1 11 2 15 2 7 50 61 7 15 27 3 5 5 7 5 64 1 3 11 10 1 25 7 9 13 1 75 2 38 12 7 7 10 6 32 6 3 3 49 31 5 7 6 4 5 9 2 12
Total officers
5 5 7 1 24 3 1 2 2 1 3 2 3 1 1 21 4 1 4 1 4 1 6 26 12 1 9 2 10 2 6 36 48 7 14 25 3 5 5 6 5 44 1 2 9 9 1 19 6 6 7 1 50 2 35 8 6 7 9 6 28 5 3 3 31 24 4 6 5 4 5 7 1 8
Total civilians
0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 6 5 0 2 0 5 0 1 14 13 0 1 2 0 0 0 1 0 20 0 1 2 1 0 6 1 3 6 0 25 0 3 4 1 0 1 0 4 1 0 0 18 7 1 1 1 0 0 2 1 4
State
City
Horton Howard Hugoton Humboldt Hutchinson Independence Inman Iola Junction City Kansas City Kechi Kingman Kinsley Kiowa La Cygne La Harpe Lake Quivira Lansing Larned Lawrence Leavenworth Leawood Lenexa Liberal Lindsborg Linn Valley Little River Louisburg Lyndon Lyons Marion Marysville McPherson Medicine Lodge Merriam Minneapolis Mission Moran Moundridge Mount Hope Mulberry Mulvane Neodesha Newton Nickerson North Newton Norton Norwich Oakley Oberlin Olathe Osage City Osawatomie Osborne Oswego Ottawa Overbrook Overland Park Oxford Paola Park City Parsons Peabody Perry Pittsburg Plainville Pleasanton Prairie Village Pratt Protection Richmond Roeland Park Rolla Rose Hill
Population
1,821 760 3,552 1,891 40,941 9,229 1,189 5,916 15,727 143,371 1,645 3,072 1,458 953 1,161 659 924 10,861 3,677 90,044 34,918 31,121 45,059 20,477 3,282 594 526 3,739 1,026 3,460 1,978 3,110 13,577 2,010 10,733 2,021 9,691 531 1,635 853 566 5,836 2,635 18,164 1,160 1,574 2,726 505 1,870 1,739 117,973 2,936 4,578 1,388 1,993 12,901 962 169,224 1,092 5,378 7,603 11,190 1,264 863 19,104 1,843 1,367 21,312 6,389 525 512 6,916 431 4,028
Total law enforcement employees 10 1 8 6 106 31 2 26 66 470 4 6 4 1 2 2 3 18 11 173 83 82 129 42 7 2 1 8 2 8 5 9 31 7 33 5 32 1 3 2 2 18 8 36 4 2 5 1 10 4 208 6 17 4 5 31 2 305 3 22 21 32 3 1 50 5 2 58 21 1 1 17 1 10
Total officers
6 1 6 6 68 20 2 17 48 361 3 6 4 1 2 2 3 16 8 140 60 59 83 31 6 2 1 8 2 7 5 8 25 6 28 5 29 1 3 2 2 12 7 32 4 2 5 1 5 4 163 6 11 4 5 26 2 252 3 16 19 25 3 1 39 5 2 46 14 1 1 15 1 9
Total civilians
4 0 2 0 38 11 0 9 18 109 1 0 0 0 0 0 0 2 3 33 23 23 46 11 1 0 0 0 0 1 0 1 6 1 5 0 3 0 0 0 0 6 1 4 0 0 0 0 5 0 45 0 6 0 0 5 0 53 0 6 2 7 0 0 11 0 0 12 7 0 0 2 0 1
SECTION V: LAW ENFORCEMENT PERSONNEL 415 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
KENTUCKY..............
City
Rossville Russell Sabetha Salina Scott City Scranton Sedan Sedgwick Seneca Shawnee Silver Lake Smith Center South Hutchinson Spearville Spring Hill Stafford Sterling St. Francis St. George St. John St. Marys Stockton Tonganoxie Topeka Towanda Troy Udall Valley Center Valley Falls Victoria Wa Keeney Wakefield Walton Wamego Waterville Wathena Wellington Wellsville Westwood Wichita Winfield Yates Center Albany Alexandria Allen Anchorage Ashland Auburn Audubon Park Augusta Barbourville Bardstown Bardwell Beattyville Beaver Dam Bellefonte Bellevue Benham Benton Berea Bloomfield Booneville Bowling Green Brandenburg Brooksville Brownsville Burgin Burkesville Burnside Butler Cadiz Calhoun Campbellsburg Campbellsville
Population
1,008 4,224 2,506 46,180 3,459 698 1,210 1,657 2,054 60,950 1,356 1,653 2,477 879 5,203 1,041 2,537 1,340 514 1,185 2,240 1,421 4,312 121,885 1,371 1,018 758 6,044 1,182 1,161 1,716 883 291 4,243 619 1,297 7,898 1,694 1,832 358,294 11,672 1,451 2,323 7,948 149 2,804 21,482 1,509 1,568 1,258 3,561 11,158 789 1,135 3,181 846 5,871 547 4,388 13,946 887 150 53,663 2,212 613 1,045 916 1,730 681 648 2,604 803 716 10,957
Total law enforcement employees 3 9 5 105 12 1 3 2 6 109 2 3 9 1 13 4 5 3 1 4 5 5 11 328 4 1 1 13 2 2 5 1 1 12 1 2 18 4 8 836 29 3 9 15 1 15 56 2 8 3 18 29 1 7 6 4 11 3 9 31 1 2 136 5 1 3 1 9 5 1 9 1 1 23
Total officers
3 8 5 75 7 1 3 2 6 89 2 3 7 1 11 4 5 3 1 4 5 5 10 277 3 1 1 9 2 2 5 1 1 7 1 2 16 3 7 645 22 3 8 13 1 10 49 2 7 3 14 23 1 5 6 4 10 3 7 28 1 2 101 5 1 3 1 5 5 1 8 1 1 21
Total civilians
0 1 0 30 5 0 0 0 0 20 0 0 2 0 2 0 0 0 0 0 0 0 1 51 1 0 0 4 0 0 0 0 0 5 0 0 2 1 1 191 7 0 1 2 0 5 7 0 1 0 4 6 0 2 0 0 1 0 2 3 0 0 35 0 0 0 0 4 0 0 1 0 0 2
State
City
Campton Caneyville Carlisle Carrollton Catlettsburg Cave City Central City Clarkson Clay Clay City Clinton Cloverport Cold Spring Columbia Corbin Covington Crab Orchard Crescent Springs Crofton Cumberland Cynthiana Danville Dawson Springs Dayton Earlington Eddyville Edgewood Edmonton Elizabethtown Elkhorn City Elkton Elsmere Eminence Erlanger Evarts Falmouth Flatwoods Fleming-Neon Flemingsburg Florence Fort Mitchell Fort Thomas Fort Wright Frankfort Franklin Fulton Gamaliel Georgetown Glasgow Glencoe Graymoor-Devondale Grayson Greensburg Greenup Greenville Guthrie Hardinsburg Harlan Harrodsburg Hartford Hawesville Hazard Henderson Heritage Creek Hickman Highland Heights Hillview Hindman Hodgenville Hollow Creek Hopkinsville Hustonville Hyden Independence
Population
411 663 2,133 3,888 1,901 2,088 5,763 839 1,176 1,365 1,331 1,248 5,758 4,195 8,344 42,682 873 3,988 777 2,308 6,291 15,377 2,947 5,443 1,593 2,408 8,789 1,624 23,547 1,023 1,962 7,848 2,264 16,986 1,056 2,129 7,647 805 3,105 27,405 7,476 15,266 5,379 26,984 8,101 2,435 434 20,997 14,282 251 3,008 3,997 2,408 1,187 4,258 1,441 2,466 1,893 8,164 2,685 983 4,862 27,960 1,654 2,253 5,708 7,506 768 2,781 846 27,197 358 195 21,038
Total law enforcement employees 1 1 9 10 8 7 12 1 1 2 2 1 12 10 29 130 1 8 1 5 14 30 8 10 1 6 13 7 59 3 7 12 7 44 4 8 11 2 7 62 13 22 13 70 23 14 1 55 45 1 4 12 6 3 9 4 4 11 25 6 1 27 67 9 3 10 13 2 5 1 78 1 4 30
Total officers
1 1 6 9 8 7 12 1 1 2 2 1 11 10 21 105 1 8 1 5 13 28 4 9 1 6 13 7 43 3 7 11 7 36 4 7 10 2 7 58 13 21 12 65 22 10 1 48 34 1 4 12 6 3 9 4 4 9 15 6 1 22 58 9 3 10 13 2 5 1 72 1 4 29
Total civilians
0 0 3 1 0 0 0 0 0 0 0 0 1 0 8 25 0 0 0 0 1 2 4 1 0 0 0 0 16 0 0 1 0 8 0 1 1 0 0 4 0 1 1 5 1 4 0 7 11 0 0 0 0 0 0 0 0 2 10 0 0 5 9 0 0 0 0 0 0 0 6 0 0 1
416
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Indian Hills Inez Irvine Irvington Jackson Jamestown Jeffersontown Jenkins Junction City La Center La Grange Lakeside ParkCrestview Hills Lancaster Lawrenceburg Lebanon Lebanon Junction Leitchfield Lewisburg Lewisport Lexington Liberty London Lone Oak Louisa Louisville Metro Loyall Ludlow Lynch Lynnview Madisonville Manchester Marion Martin Mayfield Maysville McKee Middlesboro Millersburg Monticello Morehead Morganfield Morgantown Mortons Gap Mount Olivet Mount Sterling Mount Vernon Mount Washington Muldraugh Munfordville Murray New Castle New Haven Newport Nicholasville Nortonville Oak Grove Olive Hill Owensboro Owenton Owingsville Paducah Paintsville Paris Park Hills Pembroke Perryville Pewee Valley Pikeville Pineville Pioneer Village Pippa Passes Powderly Prestonsburg
Population
Total law enforcement employees
Total officers
Total civilians
3,149 450 2,699 1,421 2,401 1,738 25,837 2,288 2,183 1,029 6,238
8 2 6 4 15 6 58 5 3 3 12
8 2 6 4 13 6 49 5 3 2 12
0 0 0 0 2 0 9 0 0 1 0
6,205 4,452 9,710 5,980 1,994 6,561 924 1,658 272,815 1,903 7,922 437 2,076 624,030 718 4,809 838 980 19,293 1,945 3,022 636 10,326 9,205 864 10,077 872 6,120 7,575 3,365 2,538 953 293 6,569 2,622 12,334 1,309 1,624 15,811 932 876 15,540 25,495 1,250 7,303 1,823 55,702 1,491 1,596 25,550 4,176 9,329 2,748 754 752 1,598 6,331 1,997 2,687 448 892 3,850
10 9 21 23 5 14 1 2 635 5 38 1 6 1,426 1 11 3 3 45 10 7 3 27 30 3 28 1 8 29 13 6 1 1 25 8 16 3 3 37 1 1 53 62 1 17 5 133 5 5 84 10 29 6 1 1 1 29 7 5 1 1 17
9 9 13 15 5 13 1 2 558 5 35 1 6 1,179 1 10 3 3 37 10 5 3 20 23 3 24 1 8 19 8 6 1 1 23 8 15 3 3 31 1 1 48 54 1 14 5 102 4 5 70 9 27 6 1 1 1 21 7 5 1 1 17
1 0 8 8 0 1 0 0 77 0 3 0 0 247 0 1 0 0 8 0 2 0 7 7 0 4 0 0 10 5 0 0 0 2 0 1 0 0 6 0 0 5 8 0 3 0 31 1 0 14 1 2 0 0 0 0 8 0 0 0 0 0
State
LOUISIANA .............
City
Princeton Prospect Providence Raceland Radcliff Ravenna Richmond Russell Russell Springs Russellville Sadieville Salyersville Science Hill Scottsville Sebree Shelbyville Shepherdsville Shively Somerset Southgate Springfield Stanford Stanton St. Matthews Sturgis Taylor Mill Taylorsville Tompkinsville Uniontown Vanceburg Versailles Villa Hills Vine Grove Warsaw Wayland West Liberty West Point Wilder Williamsburg Williamstown Wilmore Winchester Wingo Worthington Wurtland Abbeville Addis Alexandria Amite Baker Baldwin Ball Basile Bastrop Baton Rouge Berwick Blanchard Bogalusa Bossier City Breaux Bridge Broussard Brusly Church Point Clarence Clinton Coushatta Covington Crowley Delhi Denham Springs De Quincy De Ridder Dixie Inn Elton
Population
6,402 5,044 3,521 2,548 21,560 676 32,017 3,598 2,573 7,351 309 1,601 658 4,567 1,554 11,101 9,123 15,621 12,344 3,291 2,845 3,467 3,153 17,676 1,967 6,682 1,226 2,656 1,046 1,722 7,726 7,672 3,915 1,832 292 3,362 992 3,037 5,192 3,465 5,862 16,515 600 1,686 1,051 11,797 3,145 45,720 4,278 13,600 2,618 3,727 2,392 12,249 228,446 4,312 2,468 12,927 61,993 8,047 7,466 2,130 4,734 493 1,907 2,166 9,745 13,992 3,013 10,552 3,192 10,143 348 1,252
Total law enforcement employees 13 10 5 6 53 2 92 12 9 21 1 3 3 20 1 24 23 24 35 7 13 8 8 36 4 11 4 10 2 6 42 9 7 6 1 16 3 6 12 7 10 46 1 4 1 41 9 195 28 36 8 6 12 38 909 11 6 59 237 18 24 7 14 2 6 6 47 39 11 39 14 28 3 11
Total officers
12 9 5 6 40 2 62 12 8 19 1 3 2 13 1 23 22 19 32 7 8 8 8 30 4 10 4 8 2 6 41 8 7 6 1 8 3 6 12 7 9 34 1 4 1 33 8 162 28 34 7 5 7 36 632 11 5 37 196 14 21 6 13 2 5 6 36 32 7 32 14 22 3 7
Total civilians
1 1 0 0 13 0 30 0 1 2 0 0 1 7 0 1 1 5 3 0 5 0 0 6 0 1 0 2 0 0 1 1 0 0 0 8 0 0 0 0 1 12 0 0 0 8 1 33 0 2 1 1 5 2 277 0 1 22 41 4 3 1 1 0 1 0 11 7 4 7 0 6 0 4
SECTION V: LAW ENFORCEMENT PERSONNEL 417 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Erath Eunice Farmerville Ferriday Franklin Franklinton French Settlement Golden Meadow Gonzales Grambling Gramercy Gretna Hammond Harahan Haughton Haynesville Homer Houma Independence Iowa Jackson Jeanerette Jena Jennings Kaplan Kenner Kentwood Kinder Krotz Springs Lafayette Lake Arthur Lake Charles Leesville Mandeville Mansfield Many Marksville McNary Minden Monroe Moreauville Morgan City Napoleonville Natchitoches Newllano New Orleans Oakdale Olla Opelousas Patterson Pearl River Pineville Plaquemine Ponchatoula Port Allen Port Barre Port Vincent Rayne Richwood Ruston Scott Shreveport Simmesport Slidell Sorrento Sterlington St. Gabriel St. Martinville Stonewall Sulphur Sunset Thibodaux Tickfaw Vidalia
Population
2,205 11,621 3,567 3,588 7,794 3,723 1,100 2,158 9,067 4,474 6,946 16,240 19,190 9,212 2,997 2,492 3,472 32,597 1,826 2,565 3,714 6,015 2,850 10,577 5,192 66,473 2,302 2,148 1,268 114,212 2,894 69,966 5,763 12,346 5,466 2,777 5,787 199 13,238 51,350 944 11,810 685 17,680 2,031 220,614 7,997 1,352 23,223 5,223 2,170 14,540 6,627 6,244 5,136 2,353 552 8,628 2,090 20,532 8,091 199,811 2,228 28,272 1,443 1,240 5,592 7,012 1,927 19,362 2,580 14,501 687 4,189
Total law enforcement employees 14 41 13 20 25 22 2 3 36 14 5 114 99 27 9 7 12 83 16 15 5 11 7 36 21 225 10 18 5 291 10 181 34 52 17 11 22 2 30 220 2 52 2 64 11 1,666 17 4 65 19 16 64 30 25 24 15 2 23 20 48 22 679 10 114 6 9 13 18 2 63 12 47 8 26
Total officers
10 30 13 13 23 16 2 3 36 9 5 89 75 22 7 7 11 68 16 10 5 11 6 34 15 171 9 12 3 225 6 174 29 37 13 9 17 1 29 175 2 34 1 48 6 1,416 17 4 50 19 10 56 25 20 20 8 2 23 13 39 21 595 10 88 5 9 8 13 2 42 12 38 8 20
Total civilians
4 11 0 7 2 6 0 0 0 5 0 25 24 5 2 0 1 15 0 5 0 0 1 2 6 54 1 6 2 66 4 7 5 15 4 2 5 1 1 45 0 18 1 16 5 250 0 0 15 0 6 8 5 5 4 7 0 0 7 9 1 84 0 26 1 0 5 5 0 21 0 9 0 6
State
MAINE .......................
City
Vinton Washington Westlake West Monroe Westwego Winnfield Youngsville Zachary Ashland Auburn Augusta Baileyville Bangor Bar Harbor Bath Belfast Berwick Bethel Biddeford Boothbay Harbor Brewer Bridgton Brownville Brunswick Bucksport Buxton Calais Camden Cape Elizabeth Caribou Carrabassett Valley Clinton Cumberland Damariscotta Dexter Dixfield Dover-Foxcroft East Millinocket Eastport Eliot Ellsworth Fairfield Falmouth Farmington Fort Fairfield Fort Kent Freeport Fryeburg Gardiner Gorham Gouldsboro Greenville Hallowell Hampden Holden Houlton Jay Kennebunk Kennebunkport Kittery Lewiston Limestone Lincoln Lisbon Livermore Falls Machias Madawaska Madison Mechanic Falls Mexico Milbridge Millinocket Milo Monmouth
Population
3,131 1,064 4,526 12,989 9,957 5,183 6,189 13,428 1,460 23,150 18,572 1,593 30,940 5,197 9,175 6,866 7,603 2,671 22,079 2,340 9,101 5,325 1,306 22,048 4,969 8,284 3,253 5,327 8,806 8,279 467 3,400 7,728 1,965 3,720 2,564 4,391 3,171 1,575 6,453 7,165 6,808 10,591 7,603 3,510 4,202 8,190 3,363 6,174 15,593 2,040 1,759 2,521 6,847 2,961 6,258 4,847 11,658 4,070 10,645 35,747 2,298 5,235 9,474 3,200 2,191 4,402 4,673 3,256 2,932 1,316 4,927 2,414 3,849
Total law enforcement employees 13 7 23 81 44 23 9 45 3 54 56 6 93 13 22 14 13 4 72 7 22 11 2 51 11 14 12 13 17 16 1 3 12 6 6 4 5 4 4 9 19 13 23 13 4 8 17 5 12 24 2 3 5 12 2 18 8 29 13 27 94 3 5 21 10 4 7 7 5 5 3 9 3 4
Total officers
11 7 13 77 41 14 7 42 3 49 41 6 73 9 18 12 12 4 48 6 20 7 2 36 7 9 8 12 13 15 1 3 11 5 5 4 5 4 4 8 15 12 17 12 4 4 12 5 10 22 2 2 5 11 2 13 7 21 12 20 81 3 4 16 6 4 6 6 5 5 3 9 3 4
Total civilians
2 0 10 4 3 9 2 3 0 5 15 0 20 4 4 2 1 0 24 1 2 4 0 15 4 5 4 1 4 1 0 0 1 1 1 0 0 0 0 1 4 1 6 1 0 4 5 0 2 2 0 1 0 1 0 5 1 8 1 7 13 0 1 5 4 0 1 1 0 0 0 0 0 0
418
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
MARYLAND ............
City
Mount Desert Newport North Berwick Norway Oakland Ogunquit Old Orchard Beach Old Town Orono Oxford Paris Phippsburg Pittsfield Portland Presque Isle Rangeley Richmond Rockland Rockport Rumford Sabattus Saco Sanford Scarborough Searsport Skowhegan South Berwick South Portland Southwest Harbor Swan's Island Thomaston Topsham Van Buren Veazie Waldoboro Washburn Waterville Wells Westbrook Wilton Windham Winslow Winthrop Wiscasset Yarmouth York Aberdeen Annapolis Baltimore Baltimore City Sheriff Bel Air Berlin Berwyn Heights Bladensburg Boonsboro Bowie Brunswick Cambridge Capitol Heights Centreville Chestertown Cheverly Chevy Chase Village Cottage City Crisfield Cumberland Delmar Denton District Heights Easton Edmonston Elkton Fairmount Heights Federalsburg
Population
2,214 3,106 4,911 4,846 6,239 1,295 9,423 7,704 9,737 3,954 5,048 2,205 4,296 62,894 9,217 1,168 3,440 7,582 3,590 6,405 4,702 18,509 21,648 19,187 2,668 8,876 7,350 23,836 1,982 311 4,203 10,073 2,520 1,873 5,123 1,616 15,631 10,142 16,188 4,210 16,814 7,979 6,514 3,904 8,106 13,384 14,187 36,462 624,237 10,074 3,812 3,045 7,849 3,286 53,672 5,282 11,479 4,259 3,099 4,942 6,614 2,779 1,166 2,804 20,654 2,590 3,602 6,253 14,249 1,381 15,228 1,554 2,647
Total law enforcement employees 10 6 9 7 10 12 26 16 15 6 9 1 6 221 23 3 5 22 7 15 8 44 53 48 2 13 12 68 5 1 5 14 4 5 5 1 40 26 37 5 37 10 14 15 20 38 54 153 3,684 170 45 16 8 23 4 29 11 65 12 10 14 17 16 5 14 53 13 13 15 59 7 40 4 12
Total officers
6 6 8 6 9 10 18 15 14 5 8 1 6 163 20 3 5 19 6 14 7 32 39 33 2 13 8 52 5 1 5 13 4 5 4 1 31 20 35 5 26 9 9 14 12 27 44 108 2,963 138 31 11 7 17 4 25 9 51 8 9 13 15 10 4 11 50 12 12 12 45 6 34 3 12
Total civilians
4 0 1 1 1 2 8 1 1 1 1 0 0 58 3 0 0 3 1 1 1 12 14 15 0 0 4 16 0 0 0 1 0 0 1 0 9 6 2 0 11 1 5 1 8 11 10 45 721 32 14 5 1 6 0 4 2 14 4 1 1 2 6 1 3 3 1 1 3 14 1 6 1 0
State
MASSACHUSETTS..
City
Forest Heights Frederick Frostburg Fruitland Glenarden Greenbelt Greensboro Hagerstown Hampstead Hancock Havre de Grace Hurlock Hyattsville Landover Hills La Plata Laurel Luke Manchester Morningside Mount Rainier New Carrollton North East Oakland Ocean City Ocean Pines Oxford Perryville Pocomoke City Port Deposit Preston Princess Anne Ridgely Rising Sun Riverdale Park Rock Hall Salisbury Seat Pleasant Smithsburg Snow Hill St. Michaels Sykesville Takoma Park Taneytown Thurmont Trappe University Park Upper Marlboro Westernport Westminster Abington Acton Acushnet Adams Agawam Amesbury Amherst Andover Aquinnah Arlington Ashburnham Ashby Ashfield Ashland Athol Attleboro Auburn Avon Ayer Barnstable Barre Becket Bedford Belchertown Bellingham
Population
2,656 59,731 7,809 4,193 6,340 22,090 2,016 39,263 5,535 1,721 12,584 2,015 15,152 1,575 9,090 22,086 74 3,609 1,305 8,660 12,712 2,856 1,869 7,005 11,134 735 3,826 3,863 704 647 2,934 1,485 1,821 6,584 1,424 27,727 5,020 3,031 2,278 1,088 4,499 18,539 5,533 6,092 1,179 2,379 681 1,971 18,036 16,673 20,619 10,575 8,316 28,573 16,551 33,913 33,615 356 40,902 6,065 2,957 1,826 15,818 11,721 43,474 16,445 4,310 7,306 47,342 5,467 1,804 12,862 14,268 15,965
Total law enforcement employees 6 181 15 17 4 64 4 127 10 4 40 9 48 4 13 71 1 5 8 19 14 8 7 131 18 3 7 23 3 2 13 6 6 23 4 114 15 4 9 7 8 54 12 11 1 8 4 5 59 30 43 21 20 54 37 53 71 4 77 13 6 2 31 23 89 45 19 22 133 13 2 36 22 38
Total officers
5 146 12 16 3 53 4 99 8 3 31 8 37 3 12 55 1 5 7 16 12 7 6 105 13 3 5 16 3 2 11 6 5 17 4 87 14 3 8 6 7 40 11 9 1 8 4 4 45 28 33 19 16 46 31 50 52 4 61 9 6 2 27 18 76 35 15 17 114 9 2 28 17 30
Total civilians
1 35 3 1 1 11 0 28 2 1 9 1 11 1 1 16 0 0 1 3 2 1 1 26 5 0 2 7 0 0 2 0 1 6 0 27 1 1 1 1 1 14 1 2 0 0 0 1 14 2 10 2 4 8 6 3 19 0 16 4 0 0 4 5 13 10 4 5 19 4 0 8 5 8
SECTION V: LAW ENFORCEMENT PERSONNEL 419 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Belmont Berkley Berlin Beverly Billerica Blackstone Bolton Boston Bourne Boxborough Boxford Boylston Braintree Brewster Bridgewater Brockton Brookfield Brookline Buckland Burlington Cambridge Canton Carlisle Carver Charlton Chatham Chelmsford Chelsea Chicopee Clinton Cohasset Concord Dalton Danvers Dartmouth Dedham Deerfield Dennis Douglas Dover Dracut Dudley Dunstable Duxbury East Bridgewater East Brookfield Eastham Easthampton East Longmeadow Easton Edgartown Egremont Erving Essex Everett Fairhaven Fall River Falmouth Fitchburg Foxborough Framingham Franklin Freetown Gardner Georgetown Gill Gloucester Goshen Grafton Granby Granville Great Barrington Greenfield Groton
Population
23,184 6,494 2,771 39,493 41,568 9,067 4,517 591,855 19,308 5,106 8,155 4,295 34,147 10,158 25,767 94,180 3,075 54,976 2,002 24,978 101,161 21,890 4,870 11,639 12,765 6,811 33,740 32,439 54,414 14,247 7,213 16,766 6,627 25,979 31,465 23,653 4,763 15,666 8,093 5,650 29,444 10,951 3,278 14,659 14,077 2,095 5,519 16,082 15,061 23,142 3,939 1,364 1,574 3,328 36,826 16,268 91,413 33,722 40,180 16,276 64,482 31,478 9,042 20,813 8,210 1,387 30,597 965 17,750 6,381 1,689 7,423 17,648 10,737
Total law enforcement employees 60 7 11 72 85 19 14 2,810 42 15 14 13 84 18 36 220 3 148 2 71 294 43 10 21 23 27 69 88 129 34 24 43 12 60 77 70 8 50 20 16 42 16 7 35 26 4 21 32 24 34 16 3 4 12 107 38 300 71 99 35 123 57 18 41 13 3 64 3 23 13 1 14 50 22
Total officers
46 6 7 68 64 16 9 2,170 36 10 13 10 76 15 35 192 3 125 2 62 262 42 10 17 19 21 53 82 125 29 18 35 11 47 63 60 7 41 15 16 37 12 7 27 23 4 15 27 23 30 15 3 4 8 97 32 244 63 90 29 115 46 18 31 11 3 61 2 18 11 1 13 35 17
Total civilians
14 1 4 4 21 3 5 640 6 5 1 3 8 3 1 28 0 23 0 9 32 1 0 4 4 6 16 6 4 5 6 8 1 13 14 10 1 9 5 0 5 4 0 8 3 0 6 5 1 4 1 0 0 4 10 6 56 8 9 6 8 11 0 10 2 0 3 1 5 2 0 1 15 5
State
City
Groveland Hadley Halifax Hamilton Hampden Hanover Hanson Hardwick Harvard Harwich Hatfield Haverhill Hingham Hinsdale Holbrook Holden Holliston Holyoke Hopedale Hopkinton Hubbardston Hudson Hull Ipswich Kingston Lakeville Lancaster Lanesboro Lawrence Lee Leicester Lenox Leominster Leverett Lexington Lincoln Littleton Longmeadow Lowell Ludlow Lunenburg Lynn Lynnfield Malden Manchester-by-the-Sea Mansfield Marblehead Marion Marlborough Marshfield Mattapoisett Maynard Medfield Medford Medway Melrose Mendon Merrimac Methuen Middleboro Middleton Milford Millbury Millis Millville Milton Monson Montague Nahant Nantucket Natick Needham New Bedford New Braintree
Population
6,863 4,817 7,834 8,262 5,349 14,266 10,054 2,670 6,062 12,573 3,266 60,308 22,059 1,782 10,724 16,816 13,903 39,769 6,277 14,294 4,494 19,595 11,261 13,326 12,581 10,770 7,043 2,914 70,462 5,842 11,077 5,169 41,602 1,790 30,220 7,929 8,713 15,465 102,918 22,066 10,105 87,817 11,429 55,538 5,301 23,175 20,194 5,313 38,227 24,915 6,502 10,150 12,299 55,706 12,867 26,549 5,837 6,420 44,333 21,503 9,562 27,635 13,711 7,977 2,988 25,888 8,856 8,359 3,544 10,341 31,854 28,343 92,373 1,130
Total law enforcement employees 13 15 16 20 14 31 25 3 14 40 1 100 53 1 23 26 25 145 16 26 10 37 33 25 32 21 12 6 179 12 23 10 90 2 61 19 19 31 308 39 13 203 24 110 22 48 38 14 74 46 18 23 23 111 20 44 17 11 105 45 14 55 24 18 8 61 16 21 13 39 65 55 342 1
Total officers
8 11 11 15 9 28 21 3 9 34 1 91 44 1 22 23 24 124 12 21 6 31 24 24 24 16 11 6 151 11 18 10 72 2 47 13 14 26 229 34 13 183 19 103 16 36 29 14 63 43 18 21 18 107 19 43 13 7 88 41 13 45 20 14 5 46 12 15 12 34 53 45 284 1
Total civilians
5 4 5 5 5 3 4 0 5 6 0 9 9 0 1 3 1 21 4 5 4 6 9 1 8 5 1 0 28 1 5 0 18 0 14 6 5 5 79 5 0 20 5 7 6 12 9 0 11 3 0 2 5 4 1 1 4 4 17 4 1 10 4 4 3 15 4 6 1 5 12 10 58 0
420
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Newbury Newburyport Newton Norfolk North Adams Northampton North Andover North Attleboro Northborough Northbridge North Brookfield Northfield North Reading Norton Norwell Norwood Oak Bluffs Oakham Orange Orleans Oxford Palmer Paxton Peabody Pembroke Pepperell Petersham Phillipston Pittsfield Plainville Plymouth Plympton Princeton Provincetown Quincy Randolph Raynham Reading Rehoboth Revere Rochester Rockland Rockport Rowley Russell Rutland Salem Salisbury Sandwich Saugus Scituate Seekonk Sharon Sheffield Shelburne Sherborn Shirley Shrewsbury Somerset Somerville Southampton Southborough Southbridge South Hadley Southwick Spencer Springfield Sterling Stockbridge Stoneham Stoughton Stow Sturbridge Sudbury
Population
6,992 17,317 82,731 10,596 13,738 28,550 27,271 28,095 14,783 14,596 4,847 3,326 13,970 19,423 10,466 28,336 3,768 1,946 7,762 6,412 13,760 12,991 4,591 52,194 18,932 11,454 1,303 1,802 43,194 8,162 56,023 2,787 3,547 3,411 91,382 30,233 13,975 23,004 11,551 46,658 5,530 17,914 7,677 5,927 1,750 7,800 41,507 8,506 20,584 27,214 18,116 13,681 17,100 3,372 2,045 4,217 7,661 33,485 18,473 74,156 6,010 9,674 17,109 17,011 9,719 12,153 151,074 7,927 2,256 21,374 26,814 6,263 9,141 17,061
Total law enforcement employees 16 33 195 19 30 63 51 62 26 22 6 4 31 29 27 69 17 3 13 28 25 26 12 111 30 19 2 2 104 20 119 7 8 25 226 48 35 51 27 107 10 40 18 16 1 9 89 20 35 74 35 34 31 6 2 14 16 59 38 149 8 21 39 34 20 21 546 18 6 41 59 11 23 35
Total officers
13 30 152 17 25 54 39 49 20 17 6 3 30 28 18 58 15 3 12 22 20 20 8 96 28 18 2 2 84 15 101 7 5 18 198 48 26 39 22 97 10 33 17 14 1 8 84 14 34 54 30 32 27 6 2 14 12 45 32 127 8 16 36 29 16 17 450 13 6 34 52 11 18 29
Total civilians
3 3 43 2 5 9 12 13 6 5 0 1 1 1 9 11 2 0 1 6 5 6 4 15 2 1 0 0 20 5 18 0 3 7 28 0 9 12 5 10 0 7 1 2 0 1 5 6 1 20 5 2 4 0 0 0 4 14 6 22 0 5 3 5 4 4 96 5 0 7 7 0 5 6
State
MICHIGAN ...............
City
Sunderland Sutton Swampscott Swansea Taunton Templeton Tewksbury Tisbury Topsfield Townsend Truro Tyngsboro Upton Uxbridge Wakefield Walpole Waltham Ware Wareham Warren Watertown Wayland Webster Wellesley Wellfleet Wenham Westborough West Boylston West Bridgewater West Brookfield Westfield Westford Westminster West Newbury Weston Westport West Springfield West Tisbury Westwood Weymouth Whitman Wilbraham Williamstown Wilmington Winchendon Winchester Winthrop Woburn Worcester Wrentham Yarmouth Adrian Adrian Township Albion Algonac Allegan Allen Park Alma Almont Alpena Ann Arbor Argentine Township Armada Auburn Auburn Hills Bad Axe Bancroft Bangor Baraga Barry Township Bath Township Battle Creek Bay City Beaverton
Population
3,778 9,154 14,097 16,271 56,091 7,812 29,450 3,806 6,128 9,343 2,163 11,584 6,597 12,818 24,557 23,199 59,425 10,031 21,472 5,141 32,065 12,954 16,886 26,966 2,798 4,609 18,740 7,810 6,795 3,879 40,518 21,624 7,494 4,306 11,665 15,280 27,854 2,673 13,790 53,553 14,540 14,123 8,159 21,545 10,221 21,155 17,056 36,996 175,825 11,215 24,304 21,612 7,241 9,267 4,585 4,963 27,384 9,231 2,863 10,554 113,011 7,328 1,640 2,058 21,149 3,163 606 1,881 1,242 3,659 11,721 62,143 34,145 1,105
Total law enforcement employees 5 20 35 37 120 13 60 12 14 18 17 27 18 23 44 44 183 18 58 12 81 31 32 54 17 11 34 18 22 6 91 46 16 12 31 33 92 10 36 113 27 29 16 48 17 46 36 77 513 17 69 36 2 29 8 12 51 14 8 20 205 6 2 3 69 9 1 4 3 2 12 133 66 1
Total officers
5 15 33 31 115 9 56 11 10 16 12 21 13 18 43 39 150 18 50 7 68 22 28 39 13 10 28 13 21 6 79 36 12 6 25 29 81 9 28 97 26 28 12 46 12 38 34 71 462 15 59 33 2 24 7 11 46 13 8 18 150 5 2 2 54 9 1 4 3 2 11 114 61 1
Total civilians
0 5 2 6 5 4 4 1 4 2 5 6 5 5 1 5 33 0 8 5 13 9 4 15 4 1 6 5 1 0 12 10 4 6 6 4 11 1 8 16 1 1 4 2 5 8 2 6 51 2 10 3 0 5 1 1 5 1 0 2 55 1 0 1 15 0 0 0 0 0 1 19 5 0
SECTION V: LAW ENFORCEMENT PERSONNEL 421 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Belding Bellaire Belleville Bellevue Benton Harbor Benton Township Berkley Berrien SpringsOronoko Township Beverly Hills Big Rapids Birch Run Birmingham Blackman Township Blissfield Bloomfield Hills Bloomfield Township Bloomingdale Boyne City Breckenridge Bridgeport Township Bridgman Brighton Bronson Brown City Brownstown Township Buchanan Buena Vista Township Burr Oak Burton Byron Cadillac Calumet Cambridge Township Canton Township Capac Carleton Caro Carrollton Township Carson City Carsonville Caseville Caspian Cass City Cassopolis Cedar Springs Center Line Charlevoix Charlotte Cheboygan Chelsea Chesterfield Township Chikaming Township Chocolay Township Clare Clarkston Clawson Clayton Township Clay Township Clinton Clinton Township Clio Coldwater Coleman Coloma Township Colon Columbia Township Concord Constantine Corunna Covert Township Croswell Crystal Falls Davison
Population
Total law enforcement employees
Total officers
Total civilians
5,872 1,141 3,766 1,361 10,567 15,626 14,906
8 3 11 2 39 33 34
7 3 9 2 30 22 28
1 0 2 0 9 11 6
9,570 9,955 10,536 1,700 19,149 25,461 3,251 3,818 41,231 504 3,193 1,303 11,134 2,429 7,326 2,294 1,294 30,336 4,444 9,631 759 30,958 578 10,329 797 6,026 88,126 2,308 2,947 4,136 6,128 1,209 486 870 2,082 2,568 1,792 3,287 8,209 2,692 9,047 5,114 5,014 45,849 3,686 5,989 3,198 920 12,175 7,885 9,848 2,439 96,948 2,606 10,711 1,252 6,662 1,173 7,734 1,110 2,149 3,375 3,123 2,554 1,636 5,294
7 28 19 6 51 29 6 27 98 1 8 2 9 4 20 8 2 47 10 18 1 47 1 18 1 3 121 3 4 9 8 2 1 2 1 4 5 7 28 7 20 10 11 63 6 5 9 2 19 7 16 4 139 5 19 1 10 3 5 2 6 4 6 6 4 12
6 24 18 5 35 28 6 23 75 1 7 2 8 4 18 5 2 36 9 16 1 42 1 15 1 3 84 3 3 8 7 2 1 2 1 4 5 7 23 7 19 9 8 47 5 4 8 2 18 6 12 4 107 5 18 1 8 3 5 2 5 3 6 6 4 10
1 4 1 1 16 1 0 4 23 0 1 0 1 0 2 3 0 11 1 2 0 5 0 3 0 0 37 0 1 1 1 0 0 0 0 0 0 0 5 0 1 1 3 16 1 1 1 0 1 1 4 0 32 0 1 0 2 0 0 0 1 1 0 0 0 2
State
City
Davison Township Dearborn Dearborn Heights Decatur Deckerville Denmark Township Denton Township Detroit Dewitt Dewitt Township Douglas Dowagiac Dryden Township Durand East Grand Rapids East Jordan East Lansing Eastpointe East Tawas Eaton Rapids Ecorse Edmore Elk Rapids Elkton Elsie Emmett Township Erie Township Escanaba Essexville Evart Farmington Farmington Hills Fenton Ferndale Flat Rock Flint Flint Township Flushing Flushing Township Forsyth Township Fowlerville Frankenmuth Frankfort Franklin Fraser Fremont Frost Township Fruitport Galesburg Garden City Gaylord Genesee Township Gerrish Township Gibraltar Gladstone Gladwin Grand Beach Grand Blanc Grand Blanc Township Grand Haven Grand Ledge Grand Rapids Grandville Grant Grayling Green Oak Township Greenville Grosse Ile Township Grosse Pointe Grosse Pointe Farms Grosse Pointe Park Grosse Pointe Shores Grosse Pointe Woods Hamburg Township
Population
18,940 91,748 54,901 1,872 917 1,842 5,649 860,971 4,399 13,295 2,209 5,913 4,773 3,836 10,309 2,270 45,979 32,797 2,808 5,304 10,450 1,256 1,708 783 989 12,048 4,780 12,494 3,523 1,717 9,930 79,475 12,151 21,207 9,739 116,024 32,626 8,014 10,394 4,855 3,148 4,777 1,480 2,977 15,068 4,303 1,153 1,080 1,910 28,282 3,749 23,961 3,198 5,300 5,252 2,984 245 7,749 36,319 10,478 7,708 192,376 16,838 877 1,902 18,279 8,374 10,455 5,289 9,099 11,606 2,644 15,998 22,486
Total law enforcement employees 20 220 112 4 1 1 4 3,403 7 16 9 16 4 6 32 6 93 57 7 11 25 1 5 2 2 18 6 46 8 4 30 169 21 54 31 321 47 14 11 7 5 7 3 10 52 9 1 10 4 45 13 29 6 11 11 5 4 21 54 37 16 390 28 1 6 15 21 25 27 49 49 21 46 16
Total officers
18 190 85 4 1 1 4 3,037 6 15 8 15 4 6 29 5 61 52 6 10 23 1 5 2 2 16 5 33 8 4 23 120 16 45 26 261 39 13 10 6 5 7 3 10 41 8 1 9 3 36 11 25 6 10 10 5 4 18 45 32 15 320 26 1 6 13 17 18 25 35 43 18 40 15
Total civilians
2 30 27 0 0 0 0 366 1 1 1 1 0 0 3 1 32 5 1 1 2 0 0 0 0 2 1 13 0 0 7 49 5 9 5 60 8 1 1 1 0 0 0 0 11 1 0 1 1 9 2 4 0 1 1 0 0 3 9 5 1 70 2 0 0 2 4 7 2 14 6 3 6 1
422
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Hampton Township Hamtramck Hancock Harbor Beach Harbor Springs Harper Woods Hart Hartford Hastings Hazel Park Hesperia Hillsdale Holland Holly Homer Home Township Hopkins Houghton Howard City Howell Hudson Huntington Woods Huron Township Imlay City Inkster Ionia Iron Mountain Iron River Ironwood Ishpeming Ishpeming Township Ithaca Jackson Jonesville Kalamazoo Kalamazoo Township Kalkaska Keego Harbor Kentwood Kingsford Kingston Kinross Township Laingsburg Lake Angelus Lake Linden Lake Odessa Lake Orion Lakeview L'anse Lansing Lansing Township Lapeer Lapeer Township Lathrup Village Laurium Lawton Lennon Leoni Township Leslie Lexington Lincoln Park Lincoln Township Linden Litchfield Livonia Lowell Ludington Luna Pier Mackinac Island Mackinaw City Madison Heights Madison Township Manistee Manistique
Population
9,827 21,448 4,156 1,670 1,575 13,284 2,004 2,407 7,091 18,211 989 7,842 34,137 6,410 1,785 1,563 563 7,017 1,615 9,921 2,378 5,866 16,354 3,825 28,233 12,595 7,963 3,085 5,506 6,440 3,580 3,074 34,325 2,281 71,462 21,497 2,207 2,848 46,748 5,426 436 8,060 1,276 312 1,050 2,281 2,759 1,120 1,977 113,643 7,822 9,372 5,214 4,112 2,001 1,839 501 13,889 2,328 1,086 37,294 14,496 3,560 1,422 96,261 4,159 8,433 1,550 465 856 29,901 7,977 6,604 3,399
Total law enforcement employees 11 43 7 4 6 38 3 5 16 40 2 17 74 19 2 1 2 8 3 20 11 18 25 8 69 19 14 8 13 11 1 4 82 5 299 38 5 7 85 20 1 3 2 5 1 4 8 2 4 328 15 23 1 8 4 6 1 4 3 3 56 13 5 3 180 9 15 3 7 6 71 2 15 8
Total officers
10 43 7 4 5 35 3 5 14 36 2 15 61 14 2 1 2 6 3 18 10 17 20 7 59 17 14 7 13 10 1 4 62 5 245 30 4 6 69 20 1 3 2 5 1 4 4 2 4 241 14 20 1 8 4 6 1 3 3 3 47 11 5 3 146 7 14 3 6 6 57 2 13 8
Total civilians
1 0 0 0 1 3 0 0 2 4 0 2 13 5 0 0 0 2 0 2 1 1 5 1 10 2 0 1 0 1 0 0 20 0 54 8 1 1 16 0 0 0 0 0 0 0 4 0 0 87 1 3 0 0 0 0 0 1 0 0 9 2 0 0 34 2 1 0 1 0 14 0 2 0
State
City
Manton Marenisco Township Marine City Marion Marlette Marquette Marshall Marysville Mason Mattawan Mayville Melvindale Memphis Mendon Menominee Meridian Township Metamora Township Michiana Midland Milan Milford Millington Monroe Montague Montrose Township Morenci Morrice Mount Morris Mount Morris Township Mount Pleasant Mundy Township Munising Muskegon Muskegon Heights Muskegon Township Napoleon Township Nashville Negaunee Newaygo New Baltimore Newberry New Buffalo New Haven Niles North Branch Northfield Township North Muskegon Northville Northville Township Norton Shores Norvell Township Norway Novi Oak Park Onaway Ontwa TownshipEdwardsburg Orchard Lake Oscoda Township Otsego Ovid Owosso Oxford Parchment Parma-Sandstone Paw Paw Pentwater Perry Petoskey Pigeon Pinckney Pinconning Pittsfield Township Plainwell
Population
Total law enforcement employees
Total officers
Total civilians
1,201 1,822 4,417 829 2,047 20,467 7,244 10,135 8,191 2,945 1,017 10,469 1,123 922 8,537 37,958 4,796 197 41,540 5,686 6,629 1,104 21,787 2,305 7,919 2,323 897 3,308 22,966 26,270 14,577 2,350 39,562 11,698 18,634 7,148 1,697 4,429 1,670 12,071 1,538 2,429 5,185 11,491 1,009 8,383 3,968 6,202 26,528 23,567 3,077 2,897 55,127 30,771 934
1 1 6 1 4 38 18 17 14 5 2 26 2 2 15 51 6 3 51 12 27 1 49 5 9 2 2 7 35 40 22 5 91 24 16 2 2 9 5 21 1 8 9 32 2 14 7 17 47 31 2 4 99 77 1
1 1 5 1 4 32 14 14 13 5 2 23 2 2 13 44 6 3 48 9 20 1 44 5 8 2 2 6 32 32 20 5 81 21 15 2 2 8 4 17 1 7 8 22 2 12 7 16 33 29 2 4 70 65 1
0 0 1 0 0 6 4 3 1 0 0 3 0 0 2 7 0 0 3 3 7 0 5 0 1 0 0 1 3 8 2 0 10 3 1 0 0 1 1 4 0 1 1 10 0 2 0 1 14 2 0 0 29 12 0
5,930 2,230 7,028 3,900 1,415 15,341 3,583 1,778 6,902 3,294 988 2,084 6,128 1,099 2,470 1,327 34,615 3,952
8 9 13 7 3 23 18 3 2 11 3 7 21 1 5 3 49 9
8 8 12 6 3 21 9 3 2 9 3 7 19 1 5 3 37 8
0 1 1 1 0 2 9 0 0 2 0 0 2 0 0 0 12 1
SECTION V: LAW ENFORCEMENT PERSONNEL 423 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Pleasant Ridge Plymouth Plymouth Township Pontiac Portage Port Austin Port Huron Portland Port Sanilac Potterville Prairieville Township Raisin Township Reading Redford Township Reed City Reese Richfield Township, Genesee County Richfield Township, Roscommon County Richland Richland Township, Saginaw County Richmond River Rouge Riverview Rochester Rockford Rockwood Rogers City Romeo Romulus Roosevelt Park Rose City Roseville Royal Oak Saginaw Saginaw Township Saline Sandusky Sault Ste. Marie Schoolcraft Scottville Sebewaing Shelby Shelby Township Shepherd Southfield Southgate South Haven South Lyon South Rockwood Sparta Spaulding Township Spring Arbor Township Springfield Spring Lake-Ferrysburg Springport Township St. Charles St. Clair St. Clair Shores Sterling Heights St. Ignace St. Johns St. Joseph St. Joseph Township St. Louis Stockbridge Sturgis Sumpter Township Suttons Bay Swartz Creek Sylvan Lake Taylor
Population
Total law enforcement employees
Total officers
Total civilians
2,471 9,046 26,751 67,059 45,287 673 31,166 3,793 637 2,141 3,553 7,358 1,096 48,489 2,396 1,384
6 16 45 155 74 1 70 6 1 2 3 3 1 81 4 2
6 15 30 133 57 1 51 6 1 2 3 3 1 65 4 2
0 1 15 22 17 0 19 0 0 0 0 0 0 16 0 0
8,874
10
8
2
4,249 733
6 2
6 2
0 0
4,354 5,804 8,920 12,447 11,360 5,248 3,349 3,131 3,806 24,269 3,790 704 47,329 57,695 56,989 39,736 8,955 2,676 14,279 1,482 1,263 1,809 1,981 71,736 1,347 75,830 29,074 5,182 11,226 1,646 4,007 2,248 8,495 5,137 5,347 2,272 2,107 5,938 60,900 128,555 2,324 7,329 8,600 9,827 6,463 1,274 11,026 11,811 591 5,394 1,654 64,048
4 12 24 31 25 12 10 8 12 69 7 1 94 104 107 52 18 6 27 3 3 3 3 92 2 188 48 27 20 4 6 1 2 17 10 2 3 11 100 216 6 11 24 13 7 2 23 22 2 9 5 119
4 9 21 29 20 10 8 8 8 54 6 1 84 88 99 47 13 5 25 3 3 3 3 70 2 156 39 19 18 4 5 1 2 16 9 2 3 10 84 164 6 9 18 12 6 2 18 15 2 8 5 96
0 3 3 2 5 2 2 0 4 15 1 0 10 16 8 5 5 1 2 0 0 0 0 22 0 32 9 8 2 0 1 0 0 1 1 0 0 1 16 52 0 2 6 1 1 0 5 7 0 1 0 23
State
MINNESOTA ............
City
Tecumseh Thomas Township Three Oaks Three Rivers Tittabawassee Township Traverse City Trenton Troy Tuscarora Township Ubly Unadilla Township Union City Utica Van Buren Township Vassar Vernon Vicksburg Walker Walled Lake Warren Waterford Township Waterloo Township Watertown Township Watervliet Wayland Wayne West Bloomfield Township West Branch Westland White Cloud Whitehall White Lake Township White Pigeon Williamston Wixom Wolverine Lake Woodhaven Woodstock Township Wyandotte Wyoming Yale Ypsilanti Zeeland Zilwaukee Albany Albert Lea Alexandria Annandale Anoka Appleton Apple Valley Aurora Austin Avon Babbitt Baxter Bayport Becker Belgrade Belle Plaine Bemidji Benson Big Lake Biwabik Blackduck Blaine Blooming Prairie Bloomington Blue Earth Brainerd Breckenridge Brooklyn Center Brooklyn Park
Population
Total law enforcement employees
Total officers
Total civilians
8,878 12,670 1,731 7,245 9,047 14,406 19,011 81,130 3,145 796 3,477 1,737 5,022 28,247 2,738 813 2,151 23,794 6,988 134,081 71,233 3,035 2,222 1,769 3,906 18,203
16 8 3 20 5 36 37 184 8 2 2 4 20 51 5 1 8 47 17 276 99 3 1 3 6 48
14 7 3 16 5 33 36 134 7 2 2 4 16 37 5 1 7 38 14 233 77 3 1 3 5 37
2 1 0 4 0 3 1 50 1 0 0 0 4 14 0 0 1 9 3 43 22 0 0 0 1 11
64,616 1,875 84,293 1,421 2,819 30,412 1,579 3,825 13,572 4,307 13,514 3,723 26,290 70,243 1,967 21,672 5,433 1,698 2,072 17,663 11,029 3,114 17,413 1,929 50,794 1,720 23,300 1,284 1,588 8,243 3,266 4,294 705 4,998 13,448 3,096 9,852 944 765 56,747 1,975 80,218 3,366 13,731 3,325 27,118 70,112
103 6 127 1 8 37 4 9 25 6 34 1 49 116 4 48 10 2 5 39 24 5 33 4 59 4 34 3 4 16 5 6 2 9 34 8 14 3 2 69 3 147 6 33 6 55 116
79 5 101 1 8 27 4 8 21 6 30 1 38 87 4 39 9 2 4 29 19 5 26 4 50 4 31 3 4 15 5 5 2 7 31 7 11 3 2 57 3 116 6 26 6 44 90
24 1 26 0 0 10 0 1 4 0 4 0 11 29 0 9 1 0 1 10 5 0 7 0 9 0 3 0 0 1 0 1 0 2 3 1 3 0 0 12 0 31 0 7 0 11 26
424
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Browns Valley Brownton Buffalo Burnsville Caledonia Cambridge Cannon Falls Centennial Lakes Champlin Chaska Chisholm Cloquet Cold Spring Columbia Heights Coon Rapids Corcoran Cottage Grove Crookston Crosby Crystal Dawson Dayton Deephaven-Woodland Detroit Lakes Dilworth Duluth Eagan Eagle Lake East Grand Forks Eden Prairie Edina Elk River Elmore Ely Eveleth Fairmont Faribault Farmington Fergus Falls Floodwood Forest Lake Fridley Gilbert Glencoe Glenwood Golden Valley Goodview Grand Rapids Granite Falls Hallock Hastings Hermantown Hibbing Hokah Hopkins Houston Hoyt Lakes Hutchinson International Falls Inver Grove Heights Jackson Janesville Jordan Kasson Kimball La Crescent Lake City Lake Crystal Lakefield Lakes Area Lakeville Lester Prairie Le Sueur Lewiston
Population
619 795 14,456 59,127 2,910 7,687 4,038 11,454 23,463 24,764 4,592 11,523 3,726 17,894 62,299 5,698 33,288 7,752 2,232 21,325 1,405 4,620 4,129 8,111 3,600 83,932 63,718 2,130 7,896 61,910 45,007 23,224 677 3,565 3,577 10,337 22,408 19,276 13,842 493 17,984 26,124 1,743 5,644 2,553 19,865 3,394 8,297 2,961 1,051 21,839 9,247 16,198 582 16,613 991 1,957 14,050 6,108 34,060 3,429 2,201 5,550 5,737 691 5,106 5,409 2,562 1,687 8,333 54,565 1,737 4,331 1,483
Total law enforcement employees 3 2 22 81 4 14 11 19 30 27 12 21 9 29 74 7 46 16 9 37 3 6 8 17 7 169 82 2 24 87 68 40 1 8 11 20 39 26 29 3 27 45 5 11 4 36 4 21 5 1 32 15 32 1 36 1 5 34 14 42 6 3 10 9 3 8 11 4 3 15 62 3 8 2
Total officers
3 2 18 72 4 12 9 17 25 24 11 19 8 22 64 7 39 14 8 27 3 5 7 15 6 143 69 2 22 65 51 30 1 7 10 17 30 23 23 3 24 39 5 10 4 27 4 17 5 1 27 13 29 1 23 1 5 23 13 34 5 3 8 8 3 7 10 4 3 13 52 3 7 2
Total civilians
0 0 4 9 0 2 2 2 5 3 1 2 1 7 10 0 7 2 1 10 0 1 1 2 1 26 13 0 2 22 17 10 0 1 1 3 9 3 6 0 3 6 0 1 0 9 0 4 0 0 5 2 3 0 13 0 0 11 1 8 1 0 2 1 0 1 1 0 0 2 10 0 1 0
State
City
Lino Lakes Litchfield Little Falls Long Prairie Madison Mankato Maple Grove Mapleton Maplewood Marshall Medina Melrose Mendota Heights Milaca Minneapolis Minnetonka Minnetrista Montevideo Montgomery Moorhead Moose Lake Mora Morris Mound Mounds View Mountain Iron Mountain Lake New Brighton New Hope Newport New Prague New Richland New Ulm North Branch Northfield North Mankato North St. Paul Oakdale Oak Park Heights Olivia Orono Ortonville Osakis Osseo Owatonna Park Rapids Paynesville Plainview Plymouth Princeton Prior Lake Proctor Ramsey Red Wing Redwood Falls Richfield Robbinsdale Rochester Rogers Roseau Rosemount Roseville Sartell Sauk Centre Sauk Rapids Savage Shakopee Silver Bay Silver Lake Slayton Sleepy Eye South Lake Minnetonka South St. Paul Springfield
Population
20,334 6,655 8,162 2,877 1,605 35,331 62,145 1,633 35,444 12,410 5,033 3,146 11,318 3,073 371,240 49,751 8,350 5,305 3,308 35,052 2,622 3,521 5,057 9,404 11,921 2,902 1,982 20,644 20,301 3,606 7,153 1,155 13,369 10,886 19,447 12,295 11,201 27,306 4,097 2,449 12,212 2,003 1,570 2,553 24,796 3,577 2,255 3,306 70,737 4,885 23,879 2,771 23,617 15,705 5,155 33,112 13,211 98,287 6,802 2,827 21,393 31,645 13,816 3,906 11,768 28,266 35,113 1,913 814 1,907 3,463 12,066 19,188 2,124
Total law enforcement employees 28 10 13 6 3 62 76 3 60 24 11 6 19 7 1,084 74 14 11 7 62 4 8 10 16 21 5 4 34 36 8 11 2 25 14 26 13 17 41 10 5 22 4 4 6 37 10 5 7 82 12 26 8 27 33 13 60 26 177 15 8 24 56 19 7 15 34 53 5 2 4 4 16 28 5
Total officers
25 9 11 6 3 49 63 3 54 21 10 5 17 6 848 55 11 10 6 49 4 7 8 13 19 5 4 29 29 8 9 2 22 12 21 12 15 32 9 5 19 4 3 5 34 9 4 7 69 10 23 7 22 27 11 45 21 127 13 7 21 49 17 6 13 29 47 5 2 4 4 14 26 5
Total civilians
3 1 2 0 0 13 13 0 6 3 1 1 2 1 236 19 3 1 1 13 0 1 2 3 2 0 0 5 7 0 2 0 3 2 5 1 2 9 1 0 3 0 1 1 3 1 1 0 13 2 3 1 5 6 2 15 5 50 2 1 3 7 2 1 2 5 6 0 0 0 0 2 2 0
SECTION V: LAW ENFORCEMENT PERSONNEL 425 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
MISSISSIPPI..............
City
Spring Grove Spring Lake Park St. Anthony Staples St. Charles St. Cloud St. Francis Stillwater St. James St. Joseph St. Louis Park St. Paul St. Paul Park St. Peter Thief River Falls Tracy Two Harbors Virginia Wabasha Wadena Waite Park Warroad Waseca Wayzata Wells West Hennepin West St. Paul Wheaton White Bear Lake Willmar Windom Winnebago Winona Winsted Woodbury Worthington Wyoming Zumbrota Aberdeen Amory Batesville Bay Springs Bay St. Louis Booneville Brandon Brookhaven Bruce Byhalia Canton Charleston Clarksdale Cleveland Clinton Collins Columbia Columbus Corinth De Kalb Drew Edwards Eupora Fayette Flowood Forest Fulton Gloster Greenville Greenwood Grenada Gulfport Hattiesburg Heidelberg Hernando Holly Springs
Population
1,268 6,618 7,680 3,082 3,567 67,290 7,744 18,116 4,380 5,926 43,001 271,662 5,285 10,823 8,440 2,045 3,435 8,471 2,587 3,981 6,795 1,663 9,465 3,894 2,442 5,671 18,748 1,463 23,486 18,012 4,327 1,386 26,464 2,457 55,376 11,026 3,985 3,050 6,138 7,332 7,767 2,211 6,399 8,669 20,621 9,991 2,018 714 12,505 1,969 18,650 12,500 26,349 2,788 6,491 23,968 14,316 900 2,156 1,309 2,236 2,047 7,112 6,013 4,127 1,054 37,326 16,538 14,487 64,455 48,384 806 11,115 7,970
Total law enforcement employees 2 13 24 6 4 125 11 27 8 9 68 800 9 19 18 4 9 21 5 9 15 14 16 12 4 11 32 3 35 37 9 3 43 3 70 32 6 5 23 28 46 7 31 30 56 33 7 14 39 10 42 55 64 14 23 64 50 4 14 1 9 9 56 19 11 7 138 69 48 249 194 6 43 24
Total officers
2 11 21 5 4 96 9 23 7 8 50 602 9 14 16 4 8 20 4 8 12 5 14 10 4 9 29 3 28 33 8 3 39 3 59 24 6 5 19 21 37 7 26 26 39 28 6 8 29 9 33 43 46 10 23 53 39 3 9 1 7 6 43 14 11 5 97 54 43 178 124 5 33 18
Total civilians
0 2 3 1 0 29 2 4 1 1 18 198 0 5 2 0 1 1 1 1 3 9 2 2 0 2 3 0 7 4 1 0 4 0 11 8 0 0 4 7 9 0 5 4 17 5 1 6 10 1 9 12 18 4 0 11 11 1 5 0 2 3 13 5 0 2 41 15 5 71 70 1 10 6
State
MISSOURI.................
City
Horn Lake Houston Indianola Itta Bena Iuka Jackson Kosciusko Laurel Leakesville Leland Lexington Louisville Lucedale Macon Madison Magee Magnolia McComb Mendenhall Meridian Moorhead Morton Moss Point Mound Bayou Natchez New Albany Newton Ocean Springs Okolona Olive Branch Oxford Pascagoula Pass Christian Pearl Pelahatchie Petal Picayune Poplarville Port Gibson Purvis Raymond Richland Ridgeland Ripley Rolling Fork Sandersville Senatobia Shaw Shelby Starkville Stonewall Summit Sunflower Vaiden Verona Vicksburg Water Valley Waynesboro West Point Wiggins Winona Yazoo City Adrian Advance Alton Anderson Appleton City Arbyrd Archie Arnold Ash Grove Ashland Aurora Ava
Population
23,125 3,899 11,143 1,917 2,947 175,525 7,325 18,437 993 5,008 1,902 6,671 3,026 2,792 17,554 4,314 2,126 13,583 2,538 37,954 2,440 3,421 14,464 1,984 16,930 8,113 3,698 17,216 2,891 31,223 14,362 23,555 6,041 24,161 1,494 10,302 11,805 2,781 1,717 2,579 1,664 7,273 21,701 5,680 2,159 808 6,908 2,199 2,646 22,663 1,095 1,641 629 852 3,394 25,610 3,849 5,655 11,433 4,774 4,740 11,761 1,885 1,214 645 1,927 1,302 496 989 20,831 1,502 2,156 7,421 3,124
Total law enforcement employees 61 12 29 10 12 617 21 81 2 23 10 30 17 6 63 18 4 62 7 110 7 10 35 8 73 26 15 60 10 63 58 86 24 66 8 35 55 12 11 12 6 47 88 14 7 4 18 2 10 61 2 7 3 2 7 90 10 18 33 21 13 41 3 3 2 4 2 2 3 60 3 5 20 12
Total officers
50 8 21 7 9 429 21 59 1 17 9 23 11 5 49 14 4 33 4 95 6 10 25 8 48 24 10 48 10 59 50 53 18 50 6 28 37 11 7 9 6 36 58 13 6 4 15 2 6 52 1 7 3 2 7 64 10 13 27 16 11 26 3 3 2 4 2 2 3 48 3 5 13 8
Total civilians
11 4 8 3 3 188 0 22 1 6 1 7 6 1 14 4 0 29 3 15 1 0 10 0 25 2 5 12 0 4 8 33 6 16 2 7 18 1 4 3 0 11 30 1 1 0 3 0 4 9 1 0 0 0 0 26 0 5 6 5 2 15 0 0 0 0 0 0 0 12 0 0 7 4
426
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Ballwin Bates City Battlefield Bella Villa Belle Bellefontaine Neighbors Bellflower Bel-Nor Bel-Ridge Belton Berkeley Bernie Bethany Beverly Hills Billings Birch Tree Birmingham Bismarck Bland Bloomfield Blue Springs Bolivar Bonne Terre Boonville Bourbon Bowling Green Branson Branson West Breckenridge Hills Brentwood Bridgeton Brookfield Brunswick Bucklin Buckner Buffalo Butler Butterfield Village Byrnes Mill Cabool California Calverton Park Camdenton Cameron Canton Cape Girardeau Cardwell Carl Junction Carrollton Carterville Carthage Caruthersville Cassville Center Centralia Chaffee Charlack Chesterfield Chillicothe Clarkton Claycomo Clayton Cleveland Clever Cole Camp Columbia Concordia Conway Cool Valley Cooter Cottleville Country Club Hills Crane Crestwood
Population
30,120 237 4,148 642 1,362 10,430 408 1,496 2,924 24,492 9,460 1,803 3,078 564 1,135 627 216 1,569 566 1,883 54,718 10,748 7,153 8,830 1,415 5,166 7,496 514 4,525 7,238 15,120 4,371 882 482 2,738 3,143 4,271 426 2,912 2,150 4,209 1,286 3,226 9,015 2,489 36,754 739 7,071 3,952 1,937 13,407 6,310 3,278 646 3,593 2,981 1,357 46,642 8,700 1,262 1,289 16,036 690 1,321 1,160 95,595 2,409 786 1,014 430 2,685 1,293 1,445 11,545
Total law enforcement employees 68 2 5 3 4 32 1 9 16 66 59 9 6 10 4 1 1 3 2 3 107 24 10 28 7 13 51 6 15 34 65 18 1 1 7 9 16 1 5 10 7 6 16 25 6 92 2 17 7 6 34 23 12 1 13 11 8 95 23 3 16 57 1 3 3 179 6 1 10 2 10 10 3 36
Total officers
54 2 5 3 3 31 1 9 15 45 47 5 6 4 4 1 1 3 1 3 77 19 10 21 5 8 37 6 14 27 52 11 1 1 6 8 10 1 5 6 6 6 13 19 5 76 2 12 7 6 26 20 12 1 8 6 8 85 17 3 12 49 1 3 3 145 6 1 10 1 10 10 3 29
Total civilians
14 0 0 0 1 1 0 0 1 21 12 4 0 6 0 0 0 0 1 0 30 5 0 7 2 5 14 0 1 7 13 7 0 0 1 1 6 0 0 4 1 0 3 6 1 16 0 5 0 0 8 3 0 0 5 5 0 10 6 0 4 8 0 0 0 34 0 0 0 1 0 0 0 7
State
City
Creve Coeur Crocker Crystal City Cuba Deepwater Dellwood Desloge De Soto Des Peres Dexter Diamond Dixon Doniphan Doolittle Drexel Duenweg Duquesne East Lynne East Prairie Edina Edmundson Eldon El Dorado Springs Ellington Ellisville Elsberry Eminence Eureka Everton Excelsior Springs Exeter Fair Grove Fair Play Farber Farmington Fayette Ferguson Ferrelview Festus Florissant Foley Foristell Forsyth Fredericktown Freeman Frontenac Fulton Galena Gallatin Garden City Gerald Gladstone Glasgow Glendale Goodman Gower Grain Valley Granby Grandin Grandview Greenfield Greenwood Hallsville Hamilton Hannibal Harrisonville Hartville Hayti Hayti Heights Hazelwood Herculaneum Hermann Higbee Higginsville
Population
17,028 989 4,599 3,529 505 4,937 5,218 6,579 8,626 7,658 881 1,519 1,935 672 1,106 1,213 1,708 308 3,145 1,131 789 4,991 3,811 999 9,323 2,601 560 9,287 321 11,747 760 1,331 451 396 15,711 2,686 21,142 584 11,390 51,025 209 330 1,698 4,057 611 3,531 12,311 529 1,761 1,694 1,242 27,686 1,194 5,526 1,265 1,430 10,225 2,259 238 24,322 1,286 4,650 939 1,800 17,612 9,935 604 3,007 772 25,407 3,306 2,759 658 4,662
Total law enforcement employees 61 3 21 12 1 18 10 19 46 23 2 7 12 1 2 3 5 1 7 4 10 13 10 2 22 5 1 27 1 32 1 4 1 1 31 8 63 1 39 104 1 7 8 3 1 27 35 1 2 3 5 39 3 15 3 3 21 5 1 62 3 9 2 5 48 29 2 8 3 85 14 12 1 14
Total officers
50 3 16 11 1 17 10 14 39 17 2 5 8 1 2 3 5 1 4 3 9 11 6 2 21 5 1 23 1 22 1 4 1 1 23 8 54 1 28 83 1 7 7 3 1 21 28 1 2 3 5 39 3 12 3 3 19 5 1 50 3 9 2 4 35 21 2 7 2 67 13 7 1 8
Total civilians
11 0 5 1 0 1 0 5 7 6 0 2 4 0 0 0 0 0 3 1 1 2 4 0 1 0 0 4 0 10 0 0 0 0 8 0 9 0 11 21 0 0 1 0 0 6 7 0 0 0 0 0 0 3 0 0 2 0 0 12 0 0 0 1 13 8 0 1 1 18 1 5 0 6
SECTION V: LAW ENFORCEMENT PERSONNEL 427 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Highlandville Hillsboro Hillsdale Holcomb Holden Hollister Holt Holts Summit Houston Humansville Huntsville Hurley Iberia Independence Indian Point Iron Mountain Lake Ironton Jackson JASCO Metropolitan Jasper Jefferson City Jennings Jonesburg Joplin Kahoka Kansas City Kearney Kennett Keytesville Kimberling City King City Kirksville Kirkwood Knob Noster Ladue La Grange Lake Lotawana Lake Ozark Lakeshire Lake St. Louis Lake Tapawingo Lake Waukomis Lake Winnebago Lamar La Monte Lanagan La Plata Lathrop La Tour Village Laurie Lawson Leadington Leadwood Lebanon Lee's Summit Lexington Liberal Liberty Licking Lilbourn Lincoln Linn Linn Creek Lockwood Lone Jack Louisiana Lowry City Macon Malden Manchester Mansfield Maplewood Marble Hill Marceline
Population
929 1,938 1,398 691 2,525 3,797 465 3,600 2,025 1,008 1,641 160 684 108,879 672 707 1,353 13,431 2,802 1,046 39,121 14,738 724 48,261 2,185 447,725 8,262 10,909 508 2,584 910 16,934 26,875 3,072 8,199 934 1,945 2,022 1,297 14,325 795 900 1,130 4,649 1,076 440 1,438 2,357 66 719 2,407 220 1,173 13,964 83,558 4,590 811 30,050 1,516 1,205 1,107 1,432 301 953 887 3,832 749 5,446 4,569 18,769 1,359 8,701 1,515 2,331
Total law enforcement employees 3 8 13 2 6 15 2 9 5 2 2 2 1 294 2 1 4 30 5 2 118 47 1 88 3 2,102 14 26 1 9 1 29 65 13 35 9 7 15 6 38 1 1 4 12 2 1 3 5 1 6 5 6 4 36 169 11 1 55 4 2 3 4 3 2 5 13 1 15 14 41 4 31 4 12
Total officers
3 8 12 2 5 9 1 7 5 2 2 1 1 204 1 1 4 22 4 2 87 43 1 77 3 1,409 13 21 1 7 1 26 55 7 28 8 6 9 6 29 1 1 4 10 2 1 3 5 1 6 5 5 4 27 115 9 1 39 4 2 3 4 3 2 5 8 1 13 10 38 4 29 4 6
Total civilians
0 0 1 0 1 6 1 2 0 0 0 1 0 90 1 0 0 8 1 0 31 4 0 11 0 693 1 5 0 2 0 3 10 6 7 1 1 6 0 9 0 0 0 2 0 0 0 0 0 0 0 1 0 9 54 2 0 16 0 0 0 0 0 0 0 5 0 2 4 3 0 2 0 6
State
City
Marionville Marquand Marshall Marshfield Marthasville Maryland Heights Maryville Matthews Maysville Memphis Merriam Woods Mexico Milan Miller Miner Moberly Moline Acres Monett Monroe City Montgomery City Montrose Morehouse Mosby Moscow Mills Mound City Mountain Grove Mountain View Mount Vernon Napoleon Neosho Nevada Newburg New Florence New Franklin New Haven New London New Madrid New Melle Niangua Nixa Noel Norborne Normandy North Kansas City Northmoor Northwoods Oak Grove Oakview Village Odessa O'Fallon Olivette Olympian Village Oran Orrick Osage Beach Osceola Overland Owensville Ozark Pacific Pagedale Palmyra Park Hills Parkville Parma Peculiar Perry Perryville Pevely Piedmont Pierce City Pilot Grove Pilot Knob Pine Lawn
Population
2,177 265 12,281 7,173 864 26,221 10,540 545 1,137 1,995 1,194 10,965 1,796 801 1,329 14,023 2,540 8,851 2,541 2,538 434 935 244 2,460 1,078 4,635 2,605 4,511 200 11,328 8,457 476 776 1,107 2,014 1,011 3,073 286 497 18,220 1,562 776 4,946 5,619 403 4,353 7,069 389 4,828 76,542 7,439 675 1,259 848 4,554 804 15,783 2,523 17,496 7,245 3,440 3,443 8,744 5,276 785 4,495 668 8,062 4,442 1,954 1,456 748 688 4,038
Total law enforcement employees 5 1 35 10 2 97 33 1 1 2 1 37 6 2 11 48 8 28 8 6 1 2 1 9 2 15 9 9 2 30 30 1 2 2 6 2 7 2 1 33 2 1 21 47 1 28 16 4 12 134 24 3 1 2 40 2 54 8 37 23 16 10 13 16 2 13 1 28 19 7 4 1 1 26
Total officers
5 1 22 10 2 79 21 1 1 2 1 35 5 2 7 32 8 19 7 6 1 2 1 9 2 10 8 9 2 26 21 1 2 2 6 2 6 2 1 22 2 1 20 36 1 18 15 4 11 105 23 3 1 2 25 2 43 6 31 16 15 6 12 15 2 11 1 26 13 7 4 1 1 19
Total civilians
0 0 13 0 0 18 12 0 0 0 0 2 1 0 4 16 0 9 1 0 0 0 0 0 0 5 1 0 0 4 9 0 0 0 0 0 1 0 0 11 0 0 1 11 0 10 1 0 1 29 1 0 0 0 15 0 11 2 6 7 1 4 1 1 0 2 0 2 6 0 0 0 0 7
428
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Pineville Platte City Platte Woods Plattsburg Pleasant Hill Pleasant Hope Pleasant Valley Polo Poplar Bluff Portageville Purdy Puxico Qulin Randolph Raymore Raytown Reeds Spring Republic Rich Hill Richland Richmond Richmond Heights Riverside Riverview Rockaway Beach Rock Hill Rock Port Rogersville Rolla Salem Salisbury Sarcoxie Savannah Scott City Sedalia Seligman Senath Seneca Seymour Shelbina Shrewsbury Sikeston Silex Slater Smithville Southwest City Sparta Springfield St. Ann St. Charles St. Clair Steele Steelville Ste. Genevieve Stewartsville St. George St. James St. John St. Joseph St. Louis St. Marys Stover St. Peters Strafford St. Robert Sturgeon Sugar Creek Sullivan Summersville Sunset Hills Sweet Springs Tarkio Thayer Tipton
Population
878 4,971 458 2,416 7,108 590 3,481 607 17,054 2,990 1,175 1,149 487 50 17,439 28,344 720 11,777 1,510 1,756 6,029 9,179 2,961 2,948 586 4,641 1,306 2,647 18,208 4,860 1,600 1,341 5,118 4,571 20,682 924 1,626 2,277 2,025 1,850 6,290 17,188 288 1,911 7,777 931 1,223 150,488 12,887 63,277 4,400 2,136 1,454 4,479 741 1,222 4,110 6,444 72,424 348,197 392 1,045 55,291 2,025 3,319 897 3,506 6,698 562 8,314 1,527 1,823 2,166 3,125
Total law enforcement employees 16 12 2 6 16 3 13 2 54 14 1 2 1 2 37 71 1 33 2 6 19 41 28 12 3 10 3 6 51 19 4 3 6 17 56 4 3 6 6 4 20 75 1 6 16 4 1 386 53 144 15 8 6 12 1 2 8 25 160 1,967 1 3 105 8 27 2 21 26 2 28 3 5 10 3
Total officers
15 11 2 6 12 3 8 1 43 10 1 2 1 2 26 53 1 23 2 5 14 40 23 11 3 9 3 6 31 14 3 3 6 12 44 2 3 6 6 4 18 67 1 3 16 4 1 311 39 109 13 8 6 11 1 2 7 23 117 1,350 1 3 86 8 19 2 15 18 2 21 3 3 8 3
Total civilians
1 1 0 0 4 0 5 1 11 4 0 0 0 0 11 18 0 10 0 1 5 1 5 1 0 1 0 0 20 5 1 0 0 5 12 2 0 0 0 0 2 8 0 3 0 0 0 75 14 35 2 0 0 1 0 0 1 2 43 617 0 0 19 0 8 0 6 8 0 7 0 2 2 0
State
MONTANA................
City
Town and Country Tracy Trenton Trimble Troy Truesdale Union Unionville University City Uplands Park Urbana Van Buren Vandalia Velda City Verona Versailles Viburnum Vienna Vinita Park Walnut Grove Wardell Warrensburg Warrenton Warsaw Warson Woods Washburn Washington Waynesville Weatherby Lake Webb City Webster Groves Wellston Wellsville Wentzville Weston West Plains Wheaton Willard Willow Springs Winfield Winona Woodson Terrace Wright City Baker Belgrade Billings Boulder Bozeman Bridger Chinook Colstrip Columbia Falls Columbus Conrad Cut Bank Dillon East Helena Ennis Eureka Fort Benton Glasgow Glendive Great Falls Hamilton Havre Helena Hot Springs Joliet Kalispell Laurel Lewistown Libby Livingston Manhattan
Population
10,757 210 6,070 481 11,674 615 9,648 1,959 36,743 442 435 819 4,099 1,512 726 2,709 808 643 1,803 641 255 18,206 7,146 2,273 1,875 480 14,367 3,616 1,856 11,142 22,620 2,332 1,383 24,137 1,594 11,673 749 3,320 2,145 900 1,343 4,056 2,837 1,620 7,552 101,342 1,468 36,158 749 1,283 2,342 4,826 1,954 2,556 3,182 4,029 2,108 1,029 1,030 1,451 2,926 4,606 56,159 4,774 9,414 28,128 574 617 20,104 6,434 6,047 2,666 7,307 1,503
Total law enforcement employees 40 1 18 2 29 2 21 2 93 6 2 1 8 9 5 10 1 1 12 3 1 38 20 7 8 2 31 9 3 27 41 22 3 68 4 28 1 10 7 3 3 20 9 3 15 169 2 55 1 4 13 15 5 5 9 9 5 1 12 5 8 14 119 16 20 75 1 1 46 19 20 5 14 4
Total officers
34 1 11 2 27 1 19 2 73 5 2 1 4 7 4 10 1 1 11 3 1 33 16 7 7 2 28 8 3 20 38 16 3 49 4 23 1 9 6 3 3 17 8 3 12 134 2 48 1 4 6 9 4 5 8 8 5 1 3 4 7 8 82 15 18 53 1 1 35 12 14 5 13 3
Total civilians
6 0 7 0 2 1 2 0 20 1 0 0 4 2 1 0 0 0 1 0 0 5 4 0 1 0 3 1 0 7 3 6 0 19 0 5 0 1 1 0 0 3 1 0 3 35 0 7 0 0 7 6 1 0 1 1 0 0 9 1 1 6 37 1 2 22 0 0 11 7 6 0 1 1
SECTION V: LAW ENFORCEMENT PERSONNEL 429 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
NEBRASKA..............
City
Miles City Missoula Pinesdale Plains Polson Poplar Red Lodge Ronan City Sidney Stevensville St. Ignatius Thompson Falls Three Forks Troy West Yellowstone Whitefish Wolf Point Albion Alliance Ashland Auburn Aurora Bayard Beatrice Bellevue Blair Bridgeport Broken Bow Central City Chadron Columbus Cozad Crete David City Emerson Fairbury Falls City Fremont Gering Gothenburg Grand Island Hastings Holdrege Imperial Kearney Kimball La Vista Lexington Lincoln Lyons Madison McCook Milford Minden Mitchell Nebraska City Neligh Norfolk North Platte Ogallala Omaha O'Neill Ord Papillion Pierce Plainview Plattsmouth Ralston Schuyler Scottsbluff Scribner Seward Sidney South Sioux City
Population
8,033 65,037 853 1,272 5,082 900 2,494 2,033 4,761 1,966 830 1,420 1,865 996 1,240 8,007 2,608 1,634 8,054 2,586 3,187 4,261 1,143 12,972 48,067 7,962 1,478 3,235 2,839 5,158 21,420 4,293 6,345 2,520 819 3,969 4,119 25,423 7,677 3,748 44,812 25,250 5,281 1,833 29,652 2,266 16,816 10,262 243,243 887 2,279 7,491 2,045 2,867 1,774 7,106 1,505 23,977 24,436 4,585 431,810 3,391 2,094 21,748 1,715 1,254 7,070 6,144 5,194 14,719 966 6,922 6,386 12,139
Total law enforcement employees 17 121 3 3 13 6 7 4 11 4 2 4 4 4 6 20 8 3 24 6 4 8 2 32 102 17 3 7 6 17 46 7 18 6 2 7 12 47 18 7 85 52 16 4 59 7 35 17 403 2 4 19 5 5 4 13 3 56 67 12 920 8 3 37 3 4 17 15 8 37 2 11 14 28
Total officers
16 101 3 3 11 5 7 4 10 3 2 4 3 3 6 15 7 3 17 5 4 7 2 21 86 15 3 6 5 12 33 7 11 5 2 6 8 38 15 6 75 38 10 4 47 6 31 15 308 2 4 15 5 5 4 12 3 36 42 11 755 7 3 33 3 2 15 13 6 32 2 9 12 27
Total civilians
1 20 0 0 2 1 0 0 1 1 0 0 1 1 0 5 1 0 7 1 0 1 0 11 16 2 0 1 1 5 13 0 7 1 0 1 4 9 3 1 10 14 6 0 12 1 4 2 95 0 0 4 0 0 0 1 0 20 25 1 165 1 0 4 0 2 2 2 2 5 0 2 2 1
State
NEVADA ...................
NEW HAMPSHIRE ............
City
St. Paul Superior Sutton Tecumseh Tekamah Valentine Valley Wahoo Wayne West Point Wilber Wymore York Boulder City Carlin Elko Fallon Henderson Las Vegas Metropolitan Police Department Lovelock Mesquite North Las Vegas Reno Sparks West Wendover Winnemucca Yerington Alexandria Alstead Alton Amherst Andover Antrim Ashland Auburn Barnstead Barrington Bartlett Bedford Belmont Bennington Berlin Bethlehem Boscawen Bow Bradford Brentwood Bristol Campton Candia Canterbury Carroll Charlestown Chester Claremont Colebrook Concord Conway Danville Deerfield Deering Derry Dover Dublin Dunbarton Durham Enfield Epping Epsom Exeter Farmington Fitzwilliam
Population
Total law enforcement employees
Total officers
Total civilians
2,263 1,845 1,363 2,059 1,773 2,694 1,868 4,060 5,136 3,446 1,804 1,612 7,921 15,028 2,121 16,933 8,444 251,270
4 3 2 2 2 6 4 6 14 7 4 3 20 47 6 46 34 528
4 3 2 1 2 5 4 6 9 7 4 3 14 34 5 41 21 354
0 0 0 1 0 1 0 0 5 0 0 0 6 13 1 5 13 174
1,341,156 1,886 15,660 211,419 214,197 86,884 5,128 8,051 3,947
4,812 7 47 453 451 166 21 18 6
3,214 6 32 298 361 114 14 16 5
1,598 1 15 155 90 52 7 2 1
1,524 2,057 5,205 11,836 2,246 2,642 2,029 5,235 4,719 8,384 2,945 21,389 7,365 1,488 9,909 2,452 3,930 8,250 1,534 3,866 3,145 3,001 4,200 2,353 752 4,987 4,793 13,291 2,406 42,638 9,300 4,425 4,220 2,070 34,118 28,661 1,565 2,641 13,415 4,890 6,263 4,609 14,851 6,688 2,321
1 2 13 19 1 4 6 9 5 11 5 45 19 2 30 4 7 16 3 6 10 6 7 2 4 8 3 29 5 94 29 5 9 4 72 68 4 3 21 7 13 7 34 16 3
1 2 11 18 1 4 6 7 5 10 4 33 16 2 22 3 6 12 3 6 9 5 6 2 4 5 2 24 5 72 20 4 8 4 59 49 3 3 19 6 12 6 24 14 3
0 0 2 1 0 0 0 2 0 1 1 12 3 0 8 1 1 4 0 0 1 1 1 0 0 3 1 5 0 22 9 1 1 0 13 19 1 0 2 1 1 1 10 2 0
430
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Franconia Franklin Freedom Fremont Gilford Gilmanton Goffstown Gorham Grantham Greenland Hampstead Hampton Hancock Hanover Haverhill Henniker Hillsborough Hinsdale Hooksett Hopkinton Hudson Jaffrey Keene Kingston Laconia Lancaster Lebanon Lee Lincoln Lisbon Litchfield Littleton Londonderry Loudon Madison Manchester Marlborough Meredith Merrimack Middleton Milford Milton Mont Vernon Moultonborough Nashua New Boston Newbury New Durham Newfields New Hampton Newington New Ipswich New London Newmarket Newport Newton Northfield North Hampton Northumberland Northwood Nottingham Ossipee Pelham Pembroke Peterborough Pittsfield Plaistow Plymouth Portsmouth Raymond Rindge Rochester Rollinsford Rye
Population
1,052 8,843 1,469 4,156 7,569 3,621 17,810 2,914 2,578 3,409 8,904 15,493 1,824 11,198 4,623 5,187 5,539 4,219 13,705 5,651 24,996 5,729 22,693 6,284 17,153 3,362 12,589 4,481 1,322 1,663 8,737 6,213 25,121 5,215 2,329 109,873 2,107 6,780 26,847 1,806 15,271 4,531 2,433 5,019 87,217 5,121 2,129 2,536 1,598 2,283 816 5,258 4,510 9,723 6,570 4,544 5,257 4,600 2,397 4,122 4,564 4,723 12,774 7,466 6,127 4,476 7,702 6,406 20,584 10,256 6,541 30,355 2,627 5,219
Total law enforcement employees 3 22 3 5 23 6 40 10 4 7 7 41 3 35 8 10 18 8 35 6 60 10 59 10 45 8 48 8 14 4 12 13 85 7 5 276 3 17 50 4 29 8 3 15 215 5 4 6 4 5 11 6 13 20 19 8 11 13 4 8 7 9 26 14 13 9 23 15 88 25 10 73 4 10
Total officers
3 15 3 4 17 5 28 7 4 7 7 32 3 20 7 8 12 7 23 6 45 9 44 9 35 7 35 7 9 4 10 12 69 6 4 214 3 13 37 4 25 7 3 11 162 4 4 5 4 5 10 5 8 13 14 5 10 12 4 7 6 8 19 12 11 8 15 10 66 17 8 54 4 9
Total civilians
0 7 0 1 6 1 12 3 0 0 0 9 0 15 1 2 6 1 12 0 15 1 15 1 10 1 13 1 5 0 2 1 16 1 1 62 0 4 13 0 4 1 0 4 53 1 0 1 0 0 1 1 5 7 5 3 1 1 0 1 1 1 7 2 2 1 8 5 22 8 2 19 0 1
State
NEW JERSEY...........
City
Sandown Sandwich Seabrook Somersworth Strafford Stratham Sugar Hill Sunapee Thornton Tilton Troy Wakefield Walpole Warner Washington Waterville Valley Weare Webster Wilton Winchester Windham Wolfeboro Woodstock Aberdeen Township Absecon Allendale Allenhurst Allentown Alpine Andover Township Asbury Park Atlantic City Atlantic Highlands Audubon Avalon Avon-by-the-Sea Barnegat Township Barrington Bay Head Bayonne Beach Haven Beachwood Bedminster Township Belleville Bellmawr Belmar Belvidere Bergenfield Berkeley Heights Township Berkeley Township Berlin Berlin Township Bernards Township Bernardsville Beverly Blairstown Township Bloomfield Bloomingdale Bogota Boonton Boonton Township Bordentown Bordentown Township Bound Brook Bradley Beach Branchburg Township Brick Township Bridgeton Bridgewater Township Brielle Brigantine Brooklawn Buena
Population
Total law enforcement employees
Total officers
Total civilians
5,873 1,335 8,588 11,815 4,084 7,293 602 3,398 2,105 3,645 2,098 5,477 3,713 3,021 1,084 271 9,086 1,900 3,946 4,330 13,283 6,710 1,181 18,301 8,029 6,683 698 1,839 2,418 6,523 16,473 39,781 4,594 8,941 2,116 2,156 21,098 6,973 1,254 58,583 1,360 10,696 8,412 34,291 11,143 5,897 2,689 26,078
7 2 32 29 4 11 2 5 5 18 4 9 4 5 1 7 12 3 7 8 24 17 5 41 33 20 13 6 13 19 102 462 20 24 28 12 54 16 9 265 13 20 19 114 26 26 7 51
7 2 25 22 4 10 2 5 4 17 4 8 3 4 1 6 11 3 6 7 18 12 5 34 26 14 9 5 13 13 90 366 15 22 20 12 43 15 8 225 10 18 17 105 24 21 6 43
0 0 7 7 0 1 0 0 1 1 0 1 1 1 0 1 1 0 1 1 6 5 0 7 7 6 4 1 0 6 12 96 5 2 8 0 11 1 1 40 3 2 2 9 2 5 1 8
13,515 42,388 7,875 5,381 27,020 7,654 2,639 5,956 45,171 7,570 8,072 8,562 4,377 3,935 10,423 10,180 4,763 14,982 77,886 24,281 44,620 4,831 12,829 2,284 3,787
34 95 21 22 54 24 8 9 149 17 21 25 13 15 28 27 20 28 176 79 96 15 49 7 15
27 74 20 20 39 18 7 8 133 16 16 21 13 13 22 22 17 26 129 62 78 15 38 7 9
7 21 1 2 15 6 1 1 16 1 5 4 0 2 6 5 3 2 47 17 18 0 11 0 6
SECTION V: LAW ENFORCEMENT PERSONNEL 431 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Burlington Burlington Township Butler Byram Township Caldwell Camden Cape May Carlstadt Carney's Point Township Carteret Cedar Grove Township Chatham Chatham Township Cherry Hill Township Chesilhurst Chester Chesterfield Township Chester Township Cinnaminson Township Clark Township Clayton Clementon Cliffside Park Clifton Clinton Clinton Township Closter Collingswood Colts Neck Township Cranbury Township Cranford Township Cresskill Deal Delanco Township Delaware Township Delran Township Demarest Denville Township Deptford Township Dover Dumont Dunellen Eastampton Township East Brunswick Township East Greenwich Township East Hanover Township East Newark East Orange East Rutherford East Windsor Township Eatontown Edgewater Edgewater Park Township Edison Township Egg Harbor City Egg Harbor Township Elizabeth Elk Township Elmer Elmwood Park Emerson Englewood Englewood Cliffs Englishtown Essex Fells Evesham Township Ewing Township Fairfield Township, Essex County Fair Haven Fair Lawn
Population
Total law enforcement employees
Total officers
Total civilians
9,672 21,691 8,038 8,618 7,340 78,967 3,792 6,010 7,946 22,165 12,791 8,353 10,233 71,269 1,871 1,644 6,422 7,855 15,381 14,585 7,436 4,900 22,868 79,253 2,593 14,020 8,691 13,899 11,536 3,882 22,270 8,400 1,039 4,205 4,709 17,206 5,083 16,597 30,082 18,306 17,288 6,909 6,667
41 56 17 15 21 497 30 33 27 72 33 30 29 178 11 9 11 17 37 49 19 18 55 188 10 27 27 42 23 20 69 28 20 11 8 37 14 44 75 40 39 22 18
36 46 16 14 20 410 23 31 22 62 32 24 24 140 10 8 10 16 32 38 17 16 46 158 10 24 22 37 22 19 52 22 16 10 7 32 14 35 71 35 31 18 17
5 10 1 1 1 87 7 2 5 10 1 6 5 38 1 1 1 1 5 11 2 2 9 30 0 3 5 5 1 1 17 6 4 1 1 5 0 9 4 5 8 4 1
47,438
119
93
26
6,758 11,581 2,207 66,949 8,891 26,807 13,960 9,585
22 41 10 339 37 63 47 34
20 33 7 277 33 49 37 33
2 8 3 62 4 14 10 1
7,933 99,082 4,434 38,621 125,621 3,850 1,364 18,722 7,286 27,701 5,767 1,833 2,062 46,504 36,753
15 246 16 127 469 11 1 45 22 106 28 8 13 82 93
14 200 14 100 349 10 1 43 19 81 27 8 13 74 79
1 46 2 27 120 1 0 2 3 25 1 0 0 8 14
7,673 5,859 31,108
48 17 78
41 13 64
7 4 14
State
City
Fairview Fanwood Far Hills Flemington Florence Township Florham Park Fort Lee Franklin Franklin Lakes Franklin Township, Gloucester County Franklin Township, Hunterdon County Franklin Township, Somerset County Freehold Freehold Township Frenchtown Galloway Township Garfield Garwood Gibbsboro Glassboro Glen Ridge Glen Rock Gloucester City Gloucester Township Green Brook Township Greenwich Township, Gloucester County Greenwich Township, Warren County Guttenberg Hackensack Hackettstown Haddonfield Haddon Heights Haddon Township Haledon Hamburg Hamilton Township, Atlantic County Hamilton Township, Mercer County Hammonton Hanover Township Harding Township Hardyston Township Harrington Park Harrison Harrison Township Harvey Cedars Hasbrouck Heights Haworth Hawthorne Hazlet Township Helmetta High Bridge Highland Park Highlands Hightstown Hillsborough Township Hillsdale Hillside Township Hi-Nella Hoboken Ho-Ho-Kus Holland Township Holmdel Township Hopatcong Hopewell Township Howell Township Independence Township Interlaken
Population
Total law enforcement employees
Total officers
Total civilians
13,568 7,179 924 4,248 11,585 12,549 36,844 5,187 11,290
35 22 6 15 33 37 128 16 27
33 21 6 14 27 33 108 15 22
2 1 0 1 6 4 20 1 5
16,778
33
30
3
3,138
6
6
0
60,006 11,344 33,803 1,484 36,045 29,515 4,214 2,440 19,274 6,877 11,346 11,431 65,396 6,824
138 36 86 2 88 64 20 7 51 34 22 33 136 28
118 28 71 2 73 57 16 7 45 28 21 30 116 22
20 8 15 0 15 7 4 0 6 6 1 3 20 6
4,950
23
18
5
5,206 10,670 43,478 9,436 11,464 7,332 14,420 8,321 3,538
13 29 134 20 25 15 32 19 9
12 22 110 19 23 14 30 17 8
1 7 24 1 2 1 2 2 1
24,315
89
69
20
90,158 13,512 13,676 3,348 8,246 4,894 13,880 11,797 387 11,570 3,418 18,086 20,843 2,014 3,746 14,112 4,965 5,277 37,941 10,008 21,588 1,003 39,676 4,077 5,286 16,759 15,814 17,888 50,324 5,744 877
213 42 39 15 27 12 72 19 9 34 14 38 54 3 7 37 17 19 70 22 88 5 166 19 7 57 39 39 111 9 5
182 34 32 14 21 12 53 18 9 32 13 34 46 3 7 30 13 14 56 20 73 5 150 16 6 43 29 31 94 8 5
31 8 7 1 6 0 19 1 0 2 1 4 8 0 0 7 4 5 14 2 15 0 16 3 1 14 10 8 17 1 0
432
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Irvington Island Heights Jackson Township Jamesburg Jefferson Township Jersey City Keansburg Kearny Kenilworth Keyport Kinnelon Lacey Township Lake Como Lakehurst Lakewood Township Lambertville Laurel Springs Lavallette Lawnside Lawrence Township, Mercer County Lebanon Township Leonia Lincoln Park Linden Lindenwold Linwood Little Egg Harbor Township Little Falls Township Little Ferry Little Silver Livingston Township Lodi Logan Township Long Beach Township Long Branch Long Hill Township Longport Lopatcong Township Lower Alloways Creek Township Lower Township Lumberton Township Lyndhurst Township Madison Magnolia Mahwah Township Manalapan Township Manasquan Manchester Township Mansfield Township, Burlinton County Mansfield Township, Warren County Mantoloking Mantua Township Manville Maple Shade Township Maplewood Township Margate City Marlboro Township Matawan Maywood Medford Lakes Medford Township Mendham Mendham Township Merchantville Metuchen Middlesex Middle Township Middletown Township Midland Park
Population
Total law enforcement employees
Total officers
Total civilians
57,767 1,869 52,073 6,401 21,866 240,718 10,526 37,840 7,707 7,438 9,638 26,184 1,744 2,662 69,298 3,791 1,914 2,740 2,788
220 5 118 18 46 1,080 43 128 31 22 17 61 9 11 159 14 7 17 9
192 5 89 13 39 902 35 120 30 17 16 46 9 9 131 11 7 12 7
28 0 29 5 7 178 8 8 1 5 1 15 0 2 28 3 0 5 2
31,939 6,264 8,760 10,808 39,697 17,084 7,321
84 9 25 32 157 41 24
69 8 19 26 130 38 20
15 1 6 6 27 3 4
20,193 11,777 10,668 6,062 28,287 24,202 6,150 3,483 32,171 8,746 1,083 8,402
59 29 31 21 92 54 23 51 120 29 19 15
47 24 28 16 75 43 22 40 102 26 14 14
12 5 3 5 17 11 1 11 18 3 5 1
1,906 20,693 12,276 19,645 15,945 4,360 24,451 37,004 6,172 41,628
18 60 32 54 41 11 64 81 24 83
13 46 28 48 36 11 55 66 18 66
5 14 4 6 5 0 9 15 6 17
8,011
16
13
3
8,237 449 14,908 10,435 19,454 22,658 8,563 39,667 8,742 9,332 4,143 23,295 5,153 5,571 3,789 13,157 13,685 16,306 67,279 6,875
16 8 30 26 45 78 47 98 25 28 10 57 14 18 16 33 32 65 130 14
15 7 28 22 36 64 36 73 23 24 9 44 12 15 14 28 30 52 102 13
1 1 2 4 9 14 11 25 2 4 1 13 2 3 2 5 2 13 28 1
State
City
Millburn Township Milltown Millville Monmouth Beach Monroe Township, Gloucester County Monroe Township, Middlesex County Montclair Montgomery Township Montvale Montville Township Moonachie Moorestown Township Morris Plains Morristown Morris Township Mountain Lakes Mountainside Mount Arlington Mount Ephraim Mount Holly Township Mount Laurel Township Mount Olive Township Mullica Township National Park Neptune City Neptune Township Netcong Newark New Brunswick Newfield New Hanover Township New Milford New Providence Newton North Arlington North Bergen Township North Brunswick Township North Caldwell Northfield North Haledon North Hanover Township North Plainfield Northvale North Wildwood Norwood Nutley Township Oakland Oaklyn Ocean City Ocean Gate Oceanport Ocean Township, Monmouth County Ocean Township, Ocean County Ogdensburg Old Bridge Township Old Tappan Oradell Orange Oxford Township Palisades Park Palmyra Paramus Park Ridge Parsippany-Troy Hills Township Passaic Paterson Paulsboro
Population
Total law enforcement employees
Total officers
Total civilians
19,068 7,007 28,069 3,558
63 18 94 11
53 15 81 10
10 3 13 1
31,793
72
66
6
34,752 37,144 23,140 7,276 21,347 2,785 19,907 5,576 18,838 21,279 4,324 6,615 5,683 4,417 10,555 40,147 25,950 6,053 3,201 5,127 28,038 3,277 280,158 49,950 1,657 9,437 16,171 11,862 8,300 15,010 56,984
66 136 41 24 49 22 49 21 69 52 17 27 14 14 28 88 63 15 7 21 94 11 1,623 173 6 2 35 30 35 39 132
49 111 31 22 42 19 38 17 61 43 14 22 13 13 26 74 54 14 7 16 74 9 1,227 142 6 2 32 24 25 32 116
17 25 10 2 7 3 11 4 8 9 3 5 1 1 2 14 9 1 0 5 20 2 396 31 0 0 3 6 10 7 16
39,676 7,175 7,968 8,999
101 22 21 23
84 17 20 18
17 5 1 5
7,543 21,642 4,542 4,782 6,239 26,891 13,498 4,062 15,057 2,121 5,726
10 53 16 34 15 80 32 13 74 5 21
9 47 15 27 14 67 26 12 61 5 16
1 6 1 7 1 13 6 1 13 0 5
27,362
77
61
16
8,205 2,611 65,370 5,986 7,922 31,717 2,610 19,220 7,564 26,430 8,905
29 7 140 14 24 130 5 38 18 117 19
18 7 105 13 22 107 4 31 16 93 18
11 0 35 1 2 23 1 7 2 24 1
51,609 67,673 148,049 6,035
126 225 578 21
102 189 494 19
24 36 84 2
SECTION V: LAW ENFORCEMENT PERSONNEL 433 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Peapack and Gladstone Pemberton Pemberton Township Pennington Pennsauken Township Penns Grove Pennsville Township Pequannock Township Perth Amboy Phillipsburg Pine Beach Pine Hill Pine Valley Piscataway Township Pitman Plainfield Plainsboro Township Pleasantville Plumsted Township Pohatcong Township Point Pleasant Point Pleasant Beach Pompton Lakes Princeton Princeton Township Prospect Park Rahway Ramsey Randolph Township Raritan Raritan Township Readington Township Red Bank Ridgefield Ridgefield Park Ridgewood Ringwood Riverdale River Edge Riverside Township Riverton River Vale Township Rochelle Park Township Rockaway Rockaway Township Roseland Roselle Roselle Park Roxbury Township Rumson Runnemede Rutherford Saddle Brook Township Saddle River Salem Sayreville Scotch Plains Township Sea Bright Sea Girt Sea Isle City Seaside Heights Seaside Park Secaucus Ship Bottom Shrewsbury Somerdale Somers Point Somerville South Amboy South Bound Brook South Brunswick Township South Hackensack Township
Population
Total law enforcement employees
Total officers
Total civilians
2,469 1,375 28,703 2,676 35,286 4,776 13,274 16,248 48,392 14,765 2,023 11,225 23 52,425 9,158 47,143 21,119 18,898 8,086 3,395 19,794 5,374 11,193 13,623 17,276 5,695 27,720 14,710 25,622 6,399 22,619 16,223 11,798 10,947 12,609 24,530 12,757 2,664 10,814 7,915 2,703 9,708 6,000 6,382 25,675 5,376 21,064 13,066 23,698 7,162 8,424 17,792 13,565 3,769 5,758 42,372 23,143 1,791 2,035 2,936 3,228 2,292 15,493 1,421 3,701 5,100 11,522 12,494 7,830 4,504
10 7 70 7 120 21 26 36 149 38 7 24 4 112 15 181 46 78 13 16 41 32 30 45 40 16 91 39 51 24 38 25 47 31 39 48 28 22 25 17 7 24 26 16 70 33 69 40 55 22 22 43 36 23 26 113 52 12 16 33 33 20 71 12 21 15 32 39 35 14
9 6 59 6 94 16 24 31 124 36 6 22 4 92 14 150 34 64 13 15 33 25 26 34 31 15 80 33 42 19 35 23 41 28 30 43 23 17 21 16 6 21 21 15 58 28 59 34 48 17 20 39 33 18 23 90 45 11 12 22 25 15 62 11 16 14 27 32 30 13
1 1 11 1 26 5 2 5 25 2 1 2 0 20 1 31 12 14 0 1 8 7 4 11 9 1 11 6 9 5 3 2 6 3 9 5 5 5 4 1 1 3 5 1 12 5 10 6 7 5 2 4 3 5 3 23 7 1 4 11 8 5 9 1 5 1 5 7 5 1
40,390
107
82
25
2,303
18
17
1
State
City
South Harrison Township South Orange South Plainfield South River South Toms River Sparta Township Spotswood Springfield Springfield Township Spring Lake Spring Lake Heights Stafford Township Stanhope Stillwater Township Stone Harbor Stratford Summit Surf City Swedesboro Teaneck Township Tenafly Tewksbury Township Tinton Falls Toms River Township Totowa Trenton Tuckerton Union Beach Union City Union Township Upper Saddle River Ventnor City Vernon Township Verona Vineland Voorhees Township Waldwick Wallington Wall Township Wanaque Warren Township Washington Washington Township, Bergen County Washington Township, Gloucester County Washington Township, Mercer County Washington Township, Morris County Washington Township, Warren County Watchung Waterford Township Wayne Township Weehawken Township Wenonah Westampton Township West Amwell Township West Caldwell Township West Deptford Township Westfield West Long Branch West Milford Township West New York West Orange West Paterson Westville West Wildwood West Windsor Township Westwood Wharton Wildwood
Population
Total law enforcement employees
Total officers
Total civilians
2,943 16,298 22,694 15,752 3,700 19,262 8,143 14,652 3,554 3,460 5,083 25,705 3,650 4,366 1,034 7,090 21,010 1,535 2,034 39,435 14,326 6,061 17,006 94,469 10,587 83,551 3,810 6,602 63,647 54,795 8,493 12,508 25,340 12,880 58,013 29,261 9,578 11,379 25,882 11,122 15,746 6,811
7 65 72 38 13 50 23 47 10 18 12 85 9 6 22 16 57 11 10 119 44 12 41 195 31 414 10 20 217 191 24 52 44 35 191 66 24 23 101 27 35 14
6 57 56 30 12 40 19 41 9 14 12 59 8 6 16 15 48 11 9 104 37 11 40 160 28 360 10 16 167 139 18 40 34 31 155 51 19 22 71 23 28 13
1 8 16 8 1 10 4 6 1 4 0 26 1 0 6 1 9 0 1 15 7 1 1 35 3 54 0 4 50 52 6 12 10 4 36 15 5 1 30 4 7 1
9,627
22
22
0
51,595
92
85
7
11,853
36
27
9
18,608
46
33
13
6,950 6,256 10,660 54,606 12,593 2,323 8,732 2,931 10,749 21,667 29,811 8,275 28,019 46,193 43,343 11,184 4,438 406 26,163 10,886 6,183 5,285
14 36 26 147 63 7 26 7 35 45 74 24 55 130 135 31 11 7 58 31 22 58
13 29 24 119 58 7 23 6 29 40 59 20 49 119 119 26 10 7 47 25 21 46
1 7 2 28 5 0 3 1 6 5 15 4 6 11 16 5 1 0 11 6 1 12
434
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
NEW MEXICO .........
NEW YORK...............
City
Wildwood Crest Willingboro Township Winfield Township Winslow Township Woodbine Woodbridge Township Woodbury Woodbury Heights Woodcliff Lake Wood-Ridge Woodstown Woolwich Township Wyckoff Township Alamogordo Albuquerque Angel Fire Artesia Aztec Bayard Belen Bernalillo Bloomfield Bosque Farms Carlsbad Carrizozo Cimarron Clayton Cloudcroft Clovis Corrales Cuba Deming Dexter Espanola Estancia Eunice Farmington Gallup Grants Hatch Hobbs Hurley Jal Las Cruces Las Vegas Lordsburg Los Alamos Los Lunas Lovington Melrose Mesilla Milan Moriarty Portales Questa Raton Red River Rio Rancho Roswell Ruidoso Ruidoso Downs Santa Clara Santa Rosa Silver City Socorro Sunland Park Taos Taos Ski Valley Tatum Texico Truth or Consequences Wagon Mound Addison Town and Village
Population
Total law enforcement employees
Total officers
Total civilians
3,691 32,899 1,479 38,441 2,497 98,769 10,364 3,017 5,927 7,560 3,318 8,574 17,091 36,162 513,124 1,115 10,563 7,154 2,371 7,128 7,200 7,529 3,991 25,360 1,099 848 2,080 755 33,395 7,936 640 15,449 1,243 9,607 1,545 2,636 44,396 19,160 9,000 1,648 29,378 1,363 2,046 87,958 13,797 2,691 19,088 12,022 9,723 721 2,198 2,651 1,797 11,334 1,908 6,721 494 74,542 45,581 9,524 2,080 1,823 2,450 9,903 8,570 14,364 5,253 57 717 1,050 6,869 350
28 85 9 101 2 257 30 8 19 27 10 20 33 121 1,384 7 46 18 6 26 21 22 12 72 4 4 16 3 79 21 5 35 4 28 4 12 165 71 21 9 117 5 9 243 50 12 81 32 31 1 10 9 11 38 3 22 9 190 104 39 14 6 17 36 31 24 29 3 4 3 16 1
21 73 9 85 2 205 27 7 18 22 9 19 25 74 986 5 31 15 6 20 18 17 11 51 1 3 8 3 54 18 4 30 4 20 3 7 127 50 17 7 75 4 5 168 33 9 35 28 23 1 9 5 10 24 2 15 4 121 75 25 6 6 10 31 20 21 22 3 2 3 14 1
7 12 0 16 0 52 3 1 1 5 1 1 8 47 398 2 15 3 0 6 3 5 1 21 3 1 8 0 25 3 1 5 0 8 1 5 38 21 4 2 42 1 4 75 17 3 46 4 8 0 1 4 1 14 1 7 5 69 29 14 8 0 7 5 11 3 7 0 2 0 2 0
2,559
2
2
0
State
City
Akron Village Albany Alexandria Bay Village Alfred Village Allegany Village Altamont Village Amherst Town Amity Town and Belmont Village Amityville Village Amsterdam Arcade Village Ardsley Village Asharoken Village Attica Village Auburn Avon Village Baldwinsville Village Ballston Spa Village Batavia Beacon Bedford Town Bethlehem Town Binghamton Blooming Grove Town Bolivar Village Boonville Village Brant Town Briarcliff Manor Village Brighton Town Brockport Village Bronxville Village Buchanan Village Buffalo Cairo Town Cambridge Village Camden Village Camillus Town and Village Canajoharie Village Canastota Village Canton Village Carmel Town Carthage Village Catskill Village Cayuga Heights Village Cazenovia Village Centre Island Village Chatham Village Cheektowaga Town Chester Town Chester Village Chittenango Village Cicero Town Clarkstown Town Clayton Village Clay Town Clifton Springs Village Clyde Village Cobleskill Village Coeymans Town Cohoes Colchester Town Cold Spring Village Colonie Town Cooperstown Village Corning Cornwall-on-Hudson Village Cornwall Town Cortland Coxsackie Village Crawford Town
Population
Total law enforcement employees
Total officers
Total civilians
3,015 93,916 1,083 4,995 1,795 1,701 111,622
2 457 1 6 2 1 190
2 334 1 6 2 1 146
0 123 0 0 0 0 44
2,158 9,412 17,678 1,927 4,943 635 2,464 27,662 2,955 7,105 5,511 15,368 14,928 18,668 33,057 44,931 12,396 1,126 2,074 1,849
1 29 38 6 20 3 4 77 5 18 9 37 36 50 62 154 17 1 2 1
1 26 37 6 20 3 4 69 5 15 5 31 34 45 43 145 15 1 2 1
0 3 1 0 0 0 0 8 0 3 4 6 2 5 19 9 2 0 0 0
8,034 34,335 8,138 6,477 2,279 273,832 6,689 1,843 2,288
20 47 12 18 6 856 2 6 2
20 41 11 15 6 708 2 6 2
0 6 1 3 0 148 0 0 0
23,350 2,186 4,401 6,100 34,972 3,717 4,337 3,670 2,717 437 1,726 79,164 9,929 3,616 4,936 28,347 78,909 1,839 54,134 2,174 2,133 4,647 7,991 14,944 2,054 2,008 77,550 1,911 10,428
26 5 8 11 41 5 16 7 6 8 4 168 13 11 7 15 196 3 22 2 5 12 9 48 2 1 152 6 27
24 5 7 9 35 5 15 6 6 8 3 127 13 10 6 14 169 3 17 2 4 12 6 35 2 1 108 5 23
2 0 1 2 6 0 1 1 0 0 1 41 0 1 1 1 27 0 5 0 1 0 3 13 0 0 44 1 4
3,094 9,763 18,382 2,835 9,540
4 15 46 1 14
4 11 43 1 12
0 4 3 0 2
SECTION V: LAW ENFORCEMENT PERSONNEL 435 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Croton-on-Hudson Village Cuba Town Dansville Village Deerpark Town Delhi Village Depew Village Deposit Village Dewitt Town Dobbs Ferry Village Dolgeville Village Dryden Village Dunkirk East Aurora-Aurora Town Eastchester Town East Fishkill Town East Greenbush Town East Hampton Town East Rochester Village East Syracuse Village Eden Town Ellenville Village Ellicott Town Ellicottville Elmira Elmira Heights Village Elmira Town Elmsford Village Endicott Village Evans Town Fairport Village Fallsburg Town Floral Park Village Florida Village Fort Plain Village Frankfort Village Franklinville Village Fredonia Village Freeport Village Freeville Village Fulton City Garden City Village Gates Town Geddes Town Geneseo Village Geneva Glen Cove Glens Falls Glenville Town Gloversville Goshen Town Goshen Village Gouverneur Village Granville Village Great Neck Estates Village Greece Town Greenburgh Town Greene Village Green Island Village Greenwich Village Greenwood Lake Village Guilderland Town Hamburg Town Hamburg Village Hamilton Village Hammondsport Village Harriman Village Harrison Town Hastings-on-Hudson Village Haverstraw Town Hempstead Village
Population
Total law enforcement employees
Total officers
Total civilians
7,938 3,364 4,574 8,433 2,745 15,473 1,605 21,606 11,206 2,060 1,821 12,190 13,611 18,768 29,535 17,159 19,143 6,231 3,029 7,789 3,914 5,294 1,880 29,375 3,931 5,907 4,772 12,499 17,000 5,467 12,082 15,550 2,793 2,201 2,409 1,741 11,192 43,050 505 11,404 21,804 28,396 10,616 7,841 13,336 26,406 14,043 21,347 15,146 8,608 5,527 4,088 2,585
23 4 9 7 4 36 3 40 30 3 7 37 21 55 38 32 87 8 11 5 12 13 3 91 10 2 18 41 31 11 20 46 1 4 1 2 19 102 1 37 68 36 18 8 38 55 36 36 34 12 19 12 6
21 4 7 7 4 29 3 37 28 3 6 36 16 48 28 24 61 7 9 4 10 12 3 78 10 2 18 37 26 10 16 34 1 4 1 2 15 88 1 35 55 29 16 8 33 51 31 22 32 11 17 8 6
2 0 2 0 0 7 0 3 2 0 1 1 5 7 10 8 26 1 2 1 2 1 0 13 0 0 0 4 5 1 4 12 0 0 0 0 4 14 0 2 13 7 2 0 5 4 5 14 2 1 2 4 0
2,711 93,123 43,734 1,683 2,591 1,858
15 101 142 2 2 6
13 94 120 1 1 6
2 7 22 1 1 0
3,460 33,006 44,187 9,413 3,787 697 2,274 26,654
8 50 76 17 3 1 7 92
6 34 57 15 3 1 7 83
2 16 19 2 0 0 0 9
7,858 24,515 52,430
21 75 134
21 71 107
0 4 27
State
City
Herkimer Village Highland Falls Village Hoosick Falls Village Hornell Horseheads Village Hudson Hudson Falls Village Hunter Town Huntington Bay Village Hyde Park Town Ilion Village Inlet Town Irondequoit Town Irvington Village Ithaca Jamestown Johnstown Kenmore Village Kensington Village Kent Town Kings Point Village Kingston Kirkland Town Lackawanna Lake Placid Village Lake Success Village Lakewood-Busti Lancaster Town Larchmont Village Le Roy Village Lewisboro Town Lewiston Town and Village Liberty Village Little Falls Lloyd Harbor Village Lloyd Town Lockport Long Beach Lowville Village Lynbrook Village Lyons Village Macedon Town and Village Malone Village Malverne Village Mamaroneck Town Mamaroneck Village Manlius Town Marcellus Village Marlborough Town Massena Village Maybrook Village Mechanicville Medina Village Menands Village Middleport Village Middletown Mohawk Village Monroe Village Montgomery Town Monticello Village Moriah Town Mount Kisco Village Mount Morris Village Mount Pleasant Town Mount Vernon Newark Village New Berlin Town Newburgh Newburgh Town New Castle Town New Hartford Town and Village
Population
Total law enforcement employees
Total officers
Total civilians
7,117 3,742 3,289 8,662 6,256 6,914 6,752 2,756 1,472 20,675 8,187 389 50,106 6,658 29,970 29,646 8,489 15,172 1,181 14,443 5,204 22,741 8,423 17,775 2,840 2,833 7,455 23,342 6,535 4,226 12,606
22 15 5 23 14 32 15 1 6 17 20 2 69 24 86 74 26 24 6 26 25 85 6 67 18 27 9 64 32 12 2
21 11 3 22 12 26 12 1 6 14 18 2 58 22 70 62 25 24 6 21 23 79 6 47 14 23 9 49 27 9 2
1 4 2 1 2 6 3 0 0 3 2 0 11 2 16 12 1 0 0 5 2 6 0 20 4 4 0 15 5 3 0
16,766 3,973 4,952 3,654 10,771 20,872 35,057 3,216 19,392 3,475
10 20 13 13 13 49 96 7 56 12
9 17 12 12 11 49 76 7 48 10
1 3 1 1 2 0 20 0 8 2
8,963 5,879 8,725 11,470 18,468 25,127 1,777 8,351 10,747 4,185 4,912 6,160 3,782 1,803 26,097 2,523 8,187 8,921 6,654 3,547 10,505 2,944 26,693 68,380 9,234 1,717 28,340 30,995 17,819
3 14 25 41 58 45 1 10 26 2 12 11 12 3 89 4 23 14 27 2 36 5 56 230 17 1 108 72 46
3 14 24 40 52 38 1 8 21 2 11 10 9 3 75 4 18 13 24 2 33 5 47 201 16 1 95 59 42
0 0 1 1 6 7 0 2 5 0 1 1 3 0 14 0 5 1 3 0 3 0 9 29 1 0 13 13 4
19,586
31
20
11
436
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
New Paltz Town and Village New Rochelle New Windsor Town New York Niagara Falls Niagara Town Niskayuna Town Nissequogue Village North Castle Town North Greenbush Town Northport Village North Syracuse Village North Tonawanda Norwich Ocean Beach Village Ogdensburg Ogden Town Old Brookville Village Old Westbury Village Olean Olive Town Oneida Oneonta City Orangetown Town Orchard Park Town Ossining Town Ossining Village Oswego City Owego Village Oxford Village Oyster Bay Cove Village Painted Post Village Palmyra Village Peekskill Pelham Manor Village Pelham Village Penn Yan Village Perry Village Piermont Village Plattsburgh City Port Chester Village Port Dickinson Village Port Jervis Portville Village Port Washington Potsdam Village Poughkeepsie Poughkeepsie Town Pulaski Village Quogue Village Ramapo Town Rensselaer City Riverhead Town Rochester Rockville Centre Village Rome Rosendale Town Rotterdam Town Rouses Point Village Rye Rye Brook Village Sag Harbor Village Sands Point Village Saranac Lake Village Saratoga Springs Saugerties Town Saugerties Village Scarsdale Village Schenectady Schodack Town Schoharie Village Scotia Village Seneca Falls Village
Population
14,121 73,603 25,320 8,220,196 51,897 8,515 21,863 1,458 12,317 11,837 7,480 6,668 31,575 7,183 145 11,213 19,186 2,254 5,340 14,485 4,720 10,928 13,239 36,171 28,208 5,755 23,514 17,573 3,760 1,566 2,248 1,784 3,475 24,910 5,420 6,403 5,217 3,743 2,603 19,365 28,019 1,605 9,203 973 18,532 9,869 30,074 44,016 2,323 1,125 76,371 7,822 35,087 206,686 23,952 34,123 6,312 29,547 2,420 15,127 9,820 2,363 2,839 4,895 28,807 15,816 3,912 17,890 61,535 11,374 1,001 8,107 6,791
Total law enforcement employees
25 252 58 53,848 161 7 40 3 41 19 19 14 58 19 2 31 15 52 31 33 1 27 29 101 38 18 69 57 7 1 10 5 6 74 28 30 12 5 8 54 65 4 33 1 70 17 141 98 2 13 143 33 106 907 60 82 2 61 2 44 29 12 21 13 89 21 13 51 203 12 1 14 19
Total officers
24 183 46 35,404 144 6 29 3 38 17 15 13 48 18 2 26 12 40 26 32 1 24 25 92 33 18 60 49 7 1 10 5 5 59 28 27 11 4 8 48 62 4 32 1 63 14 107 87 2 13 119 27 84 734 50 78 1 44 2 39 28 12 21 12 71 17 12 45 158 10 1 13 12
Total civilians
1 69 12 18,444 17 1 11 0 3 2 4 1 10 1 0 5 3 12 5 1 0 3 4 9 5 0 9 8 0 0 0 0 1 15 0 3 1 1 0 6 3 0 1 0 7 3 34 11 0 0 24 6 22 173 10 4 1 17 0 5 1 0 0 1 18 4 1 6 45 2 0 1 7
State
City
Shandaken Town Shawangunk Town Shelter Island Town Sherrill Sidney Village Silver Creek Village Skaneateles Village Sleepy Hollow Village Solvay Village Southampton Town South Glens Falls Village South Nyack Village Southold Town Spring Valley Village Stony Point Town Suffern Village Syracuse Tarrytown Village Ticonderoga Town Tonawanda Tonawanda Town Troy Tuckahoe Village Tupper Lake Village Tuxedo Park Village Tuxedo Town Ulster Town Utica Vernon Village Vestal Town Walden Village Wallkill Town Walton Village Wappingers Falls Village Washingtonville Village Waterford Town and Village Waterloo Village Watertown Watervliet Watkins Glen Village Waverly Village Wayland Village Webster Town and Village Wellsville Village Westfield Village Westhampton Beach Village West Seneca Town Whitehall Village White Plains Whitesboro Village Whitestown Town Windham Town Woodbury Town Woodstock Town Yonkers Yorktown Town Yorkville Village NORTH CAROLINA...............
Aberdeen Ahoskie Albemarle Andrews Angier Apex Archdale Asheboro Asheville Atlantic Beach Aulander Aurora Ayden
Population
Total law enforcement employees
Total officers
Total civilians
3,113 12,813 2,471 3,152 3,809 2,842 2,585 10,262 6,514 50,284 3,435 3,358 19,872 25,397 15,073 10,944 139,880 11,525 5,076 14,971 57,312 47,776 6,311 3,842 726 3,033 12,877 58,888 1,168 27,403 6,929 27,554 2,880 5,181 6,239
4 5 10 4 8 6 5 26 15 118 6 6 71 66 31 32 553 41 10 34 156 132 29 9 5 15 32 199 1 41 16 48 7 4 18
4 5 9 4 8 5 5 26 13 103 6 6 52 57 30 27 489 34 7 29 104 116 26 9 2 12 28 182 1 37 13 41 6 2 16
0 0 1 0 0 1 0 0 2 15 0 0 19 9 1 5 64 7 3 5 52 16 3 0 3 3 4 17 0 4 3 7 1 2 2
8,660 5,098 26,726 9,749 2,092 4,442 1,819
13 8 77 30 5 11 2
10 7 73 26 5 10 2
3 1 4 4 0 1 0
41,471 4,877 3,405
38 15 5
33 11 5
5 4 0
1,956 43,955 2,609 57,638 3,823 9,348 1,914 10,458 6,214 198,071 38,003 2,593
20 80 5 233 8 6 3 26 14 722 65 4
18 66 5 218 8 6 3 22 10 645 56 4
2 14 0 15 0 0 0 4 4 77 9 0
5,337 4,278 15,355 1,719 4,288 31,816 9,474 24,399 72,907 1,839 869 581 4,852
26 22 55 6 13 65 33 82 250 22 1 1 20
24 15 49 6 12 51 27 76 201 18 1 1 16
2 7 6 0 1 14 6 6 49 4 0 0 4
SECTION V: LAW ENFORCEMENT PERSONNEL 437 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Badin Bailey Bald Head Island Banner Elk Beaufort Beech Mountain Belhaven Belmont Benson Bethel Beulaville Biltmore Forest Biscoe Black Creek Black Mountain Bladenboro Blowing Rock Boiling Spring Lakes Boiling Springs Boone Brevard Broadway Bryson City Bunn Burgaw Burlington Burnsville Butner Cameron Candor Canton Cape Carteret Carolina Beach Carrboro Carthage Cary Caswell Beach Catawba Chadbourn Chapel Hill Charlotte-Mecklenburg1 Cherryville China Grove Chocowinity Claremont Clayton Cleveland Clinton Clyde Columbus Concord Conover Conway Cooleemee Cornelius Cramerton Creedmoor Dallas Davidson Denton Dobson Drexel Dunn Durham East Bend East Spencer Eden Edenton Elizabeth City Elizabethtown Elkin Elon Emerald Isle Enfield 1 The
Population
1,357 679 295 895 4,326 307 1,997 9,005 3,422 1,680 1,117 1,527 1,732 702 7,686 1,701 1,426 4,637 3,856 13,283 6,634 1,123 1,382 402 3,975 48,689 1,652 6,520 301 842 3,925 1,460 5,675 16,514 2,036 114,221 490 792 2,071 50,198 733,291 5,533 3,723 730 1,127 14,843 829 8,818 1,295 993 63,284 7,183 686 976 21,563 3,050 3,472 3,433 9,023 1,483 1,506 1,900 10,072 211,873 672 1,770 15,608 4,988 19,279 3,841 4,314 7,173 3,752 2,345
Total law enforcement employees 5 3 12 9 17 14 13 42 15 5 5 14 10 3 22 6 13 8 8 43 28 4 7 3 11 144 8 49 1 6 18 7 31 38 12 188 4 2 9 137 2,018 26 12 3 9 42 4 34 4 6 162 23 1 3 52 12 17 15 19 5 5 5 53 608 2 5 55 14 63 16 20 16 21 10
Total officers
5 3 11 8 16 10 9 33 14 5 5 13 9 3 18 6 9 7 8 35 22 4 6 3 10 105 8 42 1 6 13 7 28 35 11 150 4 2 8 115 1,515 17 12 3 8 38 4 31 4 6 144 22 1 3 38 12 13 11 18 5 5 5 38 474 2 5 45 12 48 15 17 15 16 9
Total civilians
0 0 1 1 1 4 4 9 1 0 0 1 1 0 4 0 4 1 0 8 6 0 1 0 1 39 0 7 0 0 5 0 3 3 1 38 0 0 1 22 503 9 0 0 1 4 0 3 0 0 18 1 0 0 14 0 4 4 1 0 0 0 15 134 0 0 10 2 15 1 3 1 5 1
State
City
Erwin Fair Bluff Fairmont Farmville Fayetteville Fletcher Forest City Four Oaks Foxfire Village Franklin Franklinton Fremont Fuquay-Varina Garland Garner Garysburg Gaston Gastonia Gibsonville Glen Alpine Goldsboro Graham Granite Falls Granite Quarry Greensboro Greenville Grifton Hamlet Havelock Henderson Hendersonville Hertford Hickory Highlands High Point Hillsborough Holden Beach Holly Ridge Holly Springs Hope Mills Hot Springs Hudson Huntersville Indian Beach Jackson Jacksonville Jefferson Jonesville Kannapolis Kenansville Kenly Kernersville Kill Devil Hills King Kings Mountain Kinston Kitty Hawk Knightdale Kure Beach La Grange Lake Lure Lake Royale Lake Waccamaw Landis Laurel Park Laurinburg Leland Lenoir Lexington Liberty Lillington Lincolnton Littleton Locust
Population
4,843 1,164 2,737 4,553 167,157 4,662 7,277 1,881 477 3,633 1,948 1,428 14,661 841 24,547 1,171 910 70,127 4,627 1,074 38,053 14,275 4,597 2,243 238,122 73,319 2,174 5,715 21,839 16,165 11,863 2,135 41,008 948 99,297 5,380 863 727 18,704 12,778 641 3,075 41,018 96 658 70,368 1,368 2,296 40,554 902 1,894 22,325 6,718 6,639 11,003 22,568 3,391 6,530 2,441 2,782 1,022 1,464 3,074 2,123 15,743 4,693 17,988 20,452 2,743 3,214 10,646 650 2,562
Total law enforcement employees 10 3 15 21 510 15 37 6 3 19 10 5 34 2 61 2 2 185 15 2 107 35 15 7 645 206 5 23 34 56 47 7 140 12 252 29 10 8 44 40 1 13 80 4 1 129 2 11 94 4 10 81 31 19 39 84 16 22 11 8 11 5 5 11 7 42 33 68 69 11 13 34 4 9
Total officers
Total civilians
9 3 12 16 342 14 31 6 3 17 9 3 29 2 55 2 2 161 14 2 97 32 13 7 534 164 5 19 27 47 35 6 114 11 216 26 10 8 36 30 1 12 71 4 1 109 2 10 71 4 8 63 25 17 32 74 14 21 10 8 10 5 5 10 7 36 30 51 55 10 12 29 4 8
employee data presented in this table for Charlotte-Mecklenburg represent only Charlotte-Mecklenburg Police Department employees and exclude Mecklenburg County Sheriff's Office employees.
1 0 3 5 168 1 6 0 0 2 1 2 5 0 6 0 0 24 1 0 10 3 2 0 111 42 0 4 7 9 12 1 26 1 36 3 0 0 8 10 0 1 9 0 0 20 0 1 23 0 2 18 6 2 7 10 2 1 1 0 1 0 0 1 0 6 3 17 14 1 1 5 0 1
438
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Long View Louisburg Lowell Lumberton Madison Maggie Valley Magnolia Maiden Manteo Marion Marshall Mars Hill Marshville Matthews Maxton Mayodan Maysville McAdenville Mebane Middlesex Mint Hill Mocksville Monroe Montreat Mooresville Morehead City Morganton Morrisville Mount Airy Mount Gilead Mount Holly Mount Olive Murfreesboro Murphy Nags Head Nashville Navassa New Bern Newland Newport Newton Norlina North Topsail Beach Northwest North Wilkesboro Norwood Oakboro Oak Island Ocean Isle Beach Old Fort Oxford Pembroke Pikeville Pilot Mountain Pinebluff Pinehurst Pine Knoll Shores Pine Level Pinetops Pineville Pink Hill Pittsboro Plymouth Princeton Raeford Raleigh Ramseur Randleman Ranlo Red Springs Reidsville Richlands Rich Square River Bend
Population
4,904 3,813 2,706 21,983 2,283 810 987 3,366 1,336 5,070 837 1,821 3,054 26,693 2,666 2,624 978 643 9,555 856 18,810 4,568 31,345 710 21,143 9,501 17,183 14,336 8,448 1,406 9,811 4,391 2,276 1,573 3,114 4,509 1,726 28,254 663 4,070 13,211 1,026 874 891 4,195 2,150 1,176 8,355 536 963 8,567 2,677 703 1,276 1,352 12,132 1,584 1,480 1,293 3,826 535 2,537 3,930 1,248 3,646 367,120 1,728 3,700 2,222 3,518 14,906 835 996 3,086
Total law enforcement employees 15 13 9 76 13 9 2 15 8 27 5 5 8 67 12 16 2 2 21 5 30 23 93 5 64 44 94 28 54 5 35 16 14 13 20 15 4 127 5 9 43 5 12 2 24 8 4 30 13 6 38 18 3 9 4 31 10 4 7 46 1 11 12 3 15 848 8 14 7 23 56 4 2 5
Total officers
15 12 9 66 12 8 2 14 7 22 5 5 8 56 8 14 2 2 16 5 28 21 82 5 48 35 60 26 42 5 28 15 9 9 18 14 4 81 5 9 35 5 11 2 21 7 4 24 13 5 31 14 3 8 4 26 9 4 5 35 1 10 12 3 14 725 8 14 7 17 46 4 2 5
Total civilians
0 1 0 10 1 1 0 1 1 5 0 0 0 11 4 2 0 0 5 0 2 2 11 0 16 9 34 2 12 0 7 1 5 4 2 1 0 46 0 0 8 0 1 0 3 1 0 6 0 1 7 4 0 1 0 5 1 0 2 11 0 1 0 0 1 123 0 0 0 6 10 0 0 0
State
City
Roanoke Rapids Robbins Robersonville Rockingham Rockwell Rocky Mount Rolesville Roseboro Rose Hill Rowland Roxboro Rutherfordton Salisbury Saluda Sanford Scotland Neck Seagrove Selma Seven Devils Shallotte Sharpsburg Shelby Siler City Smithfield Southern Pines Southern Shores Southport Sparta Spencer Spindale Spring Hope Spring Lake Spruce Pine Stallings Stanfield Stanley Stantonsburg Star Statesville Stoneville St. Pauls Sugar Mountain Sunset Beach Surf City Swansboro Sylva Tabor City Tarboro Thomasville Topsail Beach Trent Woods Troutman Troy Tryon Valdese Vanceboro Vass Wadesboro Wagram Wake Forest Wallace Walnut Cove Walnut Creek Warsaw Washington Waxhaw Waynesville Weaverville Weldon Wendell West Jefferson Whispering Pines Whitakers White Lake
Population
16,407 1,238 1,601 9,093 1,989 57,132 1,805 1,463 1,403 1,157 8,738 4,090 28,449 581 28,413 2,195 262 6,877 160 1,698 2,432 21,437 8,636 12,456 12,351 2,708 2,960 1,767 3,355 3,916 1,280 8,080 1,973 4,201 1,113 3,134 707 814 25,756 986 2,053 213 2,296 1,873 1,540 2,369 2,641 10,463 26,437 577 3,889 1,767 3,408 1,745 4,525 830 778 5,134 782 24,348 3,603 1,613 850 3,149 10,092 3,505 9,436 2,543 1,290 4,867 1,128 2,138 772 581
Total law enforcement employees 46 4 7 40 5 188 10 5 4 6 37 15 99 5 98 5 1 25 5 16 7 85 26 41 38 10 11 6 14 12 5 26 10 22 4 15 4 4 87 5 17 5 12 19 8 13 10 34 72 8 5 9 10 10 13 2 3 27 1 53 15 6 2 15 37 14 37 14 7 16 6 9 3 6
Total officers
40 4 7 35 5 146 10 5 4 5 33 15 77 5 79 4 1 23 5 15 7 68 21 37 29 9 10 6 13 12 5 20 10 20 4 12 4 4 68 5 12 5 12 17 8 12 9 28 64 7 5 9 9 8 12 2 3 22 1 45 12 6 2 11 29 13 31 13 7 14 6 8 3 6
Total civilians
6 0 0 5 0 42 0 0 0 1 4 0 22 0 19 1 0 2 0 1 0 17 5 4 9 1 1 0 1 0 0 6 0 2 0 3 0 0 19 0 5 0 0 2 0 1 1 6 8 1 0 0 1 2 1 0 0 5 0 8 3 0 0 4 8 1 6 1 0 2 0 1 0 0
SECTION V: LAW ENFORCEMENT PERSONNEL 439 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
NORTH DAKOTA ...................
OHIO ..........................
City
Population
Total law enforcement employees
Total officers
Total civilians
Whiteville Wilkesboro Williamston Wilmington Wilson Wilson's Mills Windsor Wingate Winston-Salem Winterville Woodfin Woodland Wrightsville Beach Yadkinville Yanceyville Youngsville Zebulon
5,239 3,193 5,531 96,913 47,727 1,535 2,175 3,876 198,316 4,658 3,335 776 2,573 2,898 2,152 738 4,358
29 20 21 306 133 3 8 7 674 21 13 1 25 13 5 10 21
25 18 20 254 111 3 8 7 500 19 13 1 23 12 5 9 20
4 2 1 52 22 0 0 0 174 2 0 0 2 1 0 1 1
Beulah Bismarck Bowman Burlington Cando Carrington Cavalier Crosby Devils Lake Dickinson Elgin Emerado Fargo Fessenden Grafton Grand Forks Harvey Hazen Hillsboro Jamestown Lamoure Larimore Lincoln Linton Lisbon Mandan Mayville Minot Napoleon Northwood Oakes Rolla Rugby South Heart Steele Thompson Valley City Wahpeton Watford City West Fargo Williston Wishek Aberdeen Ada Addyston Akron Alliance Amberley Village Amelia Amherst Ansonia Arcanum Archbold Arlington Heights Ashland Ashtabula
2,974 58,648 1,473 989 1,087 2,131 1,404 981 6,647 15,595 576 466 89,998 519 4,118 50,477 1,671 2,303 1,502 14,696 851 1,273 2,548 1,071 2,185 17,521 1,919 34,487 712 853 1,797 1,451 2,606 294 676 937 6,325 7,850 1,371 22,462 12,260 962 1,619 5,881 932 208,701 22,703 3,204 3,624 11,850 1,099 2,002 4,530 790 21,939 20,071
6 117 3 2 1 4 4 2 18 44 1 1 148 1 10 94 3 4 2 32 1 2 2 1 3 38 3 82 1 2 3 3 4 1 1 1 19 16 4 45 30 2 2 11 1 519 51 20 7 26 2 4 8 3 41 37
5 89 3 2 1 4 4 2 16 30 1 1 130 1 9 78 3 4 2 28 1 2 2 1 3 26 3 60 1 2 3 3 4 1 1 1 13 14 4 32 22 2 2 8 1 474 38 16 6 20 2 4 8 3 29 32
1 28 0 0 0 0 0 0 2 14 0 0 18 0 1 16 0 0 0 4 0 0 0 0 0 12 0 22 0 0 0 0 0 0 0 0 6 2 0 13 8 0 0 3 0 45 13 4 1 6 0 0 0 0 12 5
State
City
Ashville Athens Aurora Austintown Avon Avon Lake Bainbridge Township Baltic Baltimore Barberton Barnesville Batavia Bath Township, Summit County Bay Village Bazetta Township Beach City Beachwood Beavercreek Beaver Township Bedford Bedford Heights Bellaire Bellbrook Bellefontaine Bellevue Bellville Belpre Bentleyville Village Berea Berlin Heights Bethel Bethesda Beverly Bexley Blanchester Blendon Township Bluffton Boardman Bolivar Bowling Green Bratenahl Brecksville Brewster Bridgeport Brimfield Township Broadview Heights Brookfield Township Brooklyn Brooklyn Heights Brook Park Brookville Brunswick Bryan Buchtel Buckeye Lake Bucyrus Burton Butler Township Cadiz Caldwell Cambridge Camden Campbell Canal Fulton Canfield Canton Cardington Carey Carlisle Carrollton Celina Centerville Chagrin Falls
Population
Total law enforcement employees
Total officers
Total civilians
3,285 20,833 14,512 35,888 17,300 22,725 11,334 743 2,948 26,942 4,118 1,691
7 30 34 47 38 34 25 1 2 54 11 4
7 23 26 38 30 29 17 1 2 42 7 4
0 7 8 9 8 5 8 0 0 12 4 0
10,277 14,828 6,124 1,099 11,239 39,552 6,176 13,201 10,568 4,674 6,892 12,772 7,967 1,731 6,518 909 18,026 645 2,608 1,365 1,310 12,161 4,382 7,561 3,992 40,038 894 29,733 1,287 13,065 2,308 2,079 7,854 17,798 9,664 10,574 1,474 19,498 5,307 35,334 8,327 600 3,055 12,493 1,445 8,208 3,379 1,921 11,444 2,248 8,630 5,106 7,014 78,653 2,011 3,811 5,985 3,295 10,403 23,049 3,701
28 27 6 1 57 63 16 43 68 11 17 30 18 6 15 3 39 1 7 1 3 35 7 12 7 69 1 58 11 36 5 7 13 44 10 41 17 55 14 55 26 1 3 26 3 16 6 2 29 3 14 9 20 206 4 10 8 7 22 52 19
20 24 6 1 43 48 12 33 33 11 12 23 14 6 10 3 32 1 6 1 3 28 7 11 7 54 1 43 10 29 5 5 11 30 9 33 17 44 11 40 19 1 3 20 3 15 6 2 24 3 14 8 15 168 4 6 7 7 16 39 11
8 3 0 0 14 15 4 10 35 0 5 7 4 0 5 0 7 0 1 0 0 7 0 1 0 15 0 15 1 7 0 2 2 14 1 8 0 11 3 15 7 0 0 6 0 1 0 0 5 0 0 1 5 38 0 4 1 0 6 13 8
440
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Champion Township Chardon Chester Township Cheviot Chillicothe Cincinnati Circleville Clay Center Clayton Clay Township, Ottawa County Cleveland Cleveland Heights Cleves Clinton Township Clyde Coitsville Township Coldwater Columbiana Conneaut Copley Township Cortland Crestline Creston Cridersville Crooksville Cross Creek Township Cuyahoga Falls Danville Dayton Deer Park Defiance Delaware Delhi Township Delphos Delta Dennison Deshler Dover Doylestown Dublin East Cleveland Eastlake East Liverpool East Palestine Eaton Edgerton Elida Elmwood Place Elyria Empire Englewood Euclid Evendale Fairborn Fairfax Fairfield Fairfield Township Fairlawn Fairport Harbor Fairview Park Fayette Findlay Forest Forest Park Fort Loramie Fort Recovery Fort Shawnee Franklin Frazeysburg Fredericktown Fremont Gahanna Galion
Population
Total law enforcement employees
Total officers
Total civilians
9,409 5,298 11,061 7,925 22,227 332,388 13,648 309 13,030
8 17 14 10 53 1,363 31 2 15
8 11 13 10 47 1,107 24 2 15
0 6 1 0 6 256 7 0 0
2,732 439,888 46,609 2,501 3,938 6,172 1,654 4,454 5,977 12,573 14,145 6,508 5,077 2,132 1,743 2,469 5,618 50,543 1,081 155,526 5,432 16,159 33,177 29,808 6,794 2,936 2,896 1,854 12,533 2,884 37,326 24,947 19,590 12,200 4,775 8,213 1,997 1,889 2,343 55,697 292 12,844 48,186 2,789 31,705 1,745 42,264 17,093 7,138 3,225 16,032 1,307 38,038 1,442 17,470 1,482 1,350 3,741 12,868 1,315 2,468 16,885 33,140 11,093
5 2,021 121 4 9 18 2 6 12 27 29 10 13 2 3 6 3 112 2 513 14 33 65 31 18 7 4 3 23 7 89 45 46 23 8 20 3 2 2 134 2 31 153 21 59 9 81 17 34 8 27 1 92 2 43 2 2 6 38 1 4 39 73 20
5 1,655 109 4 9 14 2 6 12 20 22 10 9 1 3 5 3 93 2 390 10 30 47 29 14 7 4 3 22 6 67 40 33 18 6 14 3 2 2 89 2 20 95 19 43 8 61 16 24 7 26 1 73 2 35 2 2 5 31 1 4 33 60 16
0 366 12 0 0 4 0 0 0 7 7 0 4 1 0 1 0 19 0 123 4 3 18 2 4 0 0 0 1 1 22 5 13 5 2 6 0 0 0 45 0 11 58 2 16 1 20 1 10 1 1 0 19 0 8 0 0 1 7 0 0 6 13 4
State
City
Garfield Heights Gates Mills Geneva Geneva-on-the-Lake Genoa Genoa Township Georgetown Germantown German Township, Clark County German Township, Montgomery County Gibsonburg Girard Glendale Gnadenhutten Golf Manor Goshen Township, Clermont County Granville Greenfield Greenhills Greenville Greenwich Grove City Groveport Hamilton Hanging Rock Harrison Hartville Heath Hebron Hicksville Highland Heights Highland Hills Hilliard Hillsboro Hinckley Township Holland Howland Township Hubbard Hubbard Township Huber Heights Hudson Hunting Valley Huron Independence Indian Hill Ironton Jackson Jackson Township, Mahoning County Jackson Township, Montgomery County Jackson Township, Stark County Jefferson Jewett Johnstown Junction City Kent Kenton Kettering Kirtland Kirtland Hills Lagrange Lake Township Lakewood Lancaster Lawrence Township Lebanon Lexington Liberty Township Lima
Population
Total law enforcement employees
Total officers
Total civilians
28,221 2,308 6,413 1,522 2,319 15,674 3,624 5,126
80 15 16 5 5 27 7 12
61 11 12 5 4 25 7 11
19 4 4 0 1 2 0 1
7,359
4
4
0
3,255 2,478 10,306 2,090 1,294 3,551
6 4 17 7 2 10
6 4 14 7 2 9
0 0 3 0 0 1
16,421 5,306 5,172 3,619 12,978 1,535 32,472 5,087 62,330 295 8,440 2,564 8,936 2,165 3,481 8,693 1,386 27,186 6,736 7,833 1,274 16,761 7,871 5,826 37,588 23,248 700 7,394 6,760 5,611 11,431 6,241
13 13 12 9 30 4 74 19 165 5 23 7 23 8 9 29 8 66 20 11 9 19 18 7 69 34 11 18 49 25 19 23
12 10 10 8 23 4 58 18 139 5 21 7 18 7 8 22 7 50 16 8 9 18 14 6 53 27 11 13 35 20 15 17
1 3 2 1 7 0 16 1 26 0 2 0 5 1 1 7 1 16 4 3 0 1 4 1 16 7 0 5 14 5 4 6
2,290
5
5
0
3,820
6
6
0
39,149 3,483 788 4,037 859 27,921 8,123 54,254 7,400 793 1,986 7,362 51,606 36,735 8,604 20,828 4,189 12,118 37,767
47 6 1 17 1 54 21 106 14 10 6 13 112 84 6 34 13 26 100
39 5 1 12 1 40 16 81 9 9 6 12 90 65 6 25 9 21 79
8 1 0 5 0 14 5 25 5 1 0 1 22 19 0 9 4 5 21
SECTION V: LAW ENFORCEMENT PERSONNEL 441 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Lithopolis Liverpool Township Lockland Logan London Lorain Lordstown Loudonville Louisville Loveland Lowellville Luckey Lynchburg Lyndhurst Macedonia Madeira Madison Madison Township, Franklin County Madison Township, Lake County Magnolia Mansfield Maple Heights Marblehead Mariemont Marietta Marion Marlboro Township Marysville Mason Massillon Maumee Mayfield Heights Mayfield Village McArthur McComb McConnelsville Mechanicsburg Medina Township Mentor Mentor-on-the-Lake Miamisburg Miami Township Middleburg Heights Middlefield Middleport Middletown Midvale Milford Millersburg Milton Township Minerva Minerva Park Mingo Junction Minster Mogadore Monroe Monroeville Montgomery Montpelier Montville Township Moreland Hills Mount Healthy Mount Orab Mount Sterling Munroe Falls Napoleon Navarre Nelsonville New Albany Newark New Boston New Bremen
Population
Total law enforcement employees
Total officers
Total civilians
957 4,246 3,271 7,426 9,603 70,861 3,611 2,995 9,517 11,076 1,166 981 1,427 14,052 10,595 8,052 3,111
3 4 13 18 23 116 12 10 12 20 5 1 3 41 29 13 5
3 4 13 16 18 95 8 6 9 18 3 1 3 31 22 12 5
0 0 0 2 5 21 4 4 3 2 2 0 0 10 7 1 0
18,023
19
17
2
16,953 933 50,004 24,045 847 3,011 14,128 35,975 4,775 17,829 30,640 32,443 14,024 17,941 3,159 2,074 1,653 1,726 1,716 8,683 51,775 8,316 19,925 40,056 15,193 2,437 2,506 51,244 596 6,323 3,610 2,892 3,967 1,250 3,373 2,794 3,952 14,327 1,374 9,819 4,082 7,410 3,121 6,385 2,891 1,826 5,253 9,092 1,424 5,441 6,776 47,373 2,161 3,001
17 3 132 51 4 11 37 80 4 37 48 50 58 51 24 4 3 3 3 6 119 16 51 43 37 15 6 116 1 17 10 1 14 6 10 6 8 26 4 24 10 11 15 12 9 10 8 22 5 6 22 94 12 6
15 3 93 37 4 10 30 63 3 31 41 48 43 41 16 4 3 3 3 6 85 11 40 40 31 11 4 80 1 15 10 1 9 6 10 5 8 20 4 21 9 11 14 11 8 6 8 16 5 6 16 77 8 6
2 0 39 14 0 1 7 17 1 6 7 2 15 10 8 0 0 0 0 0 34 5 11 3 6 4 2 36 0 2 0 0 5 0 0 1 0 6 0 3 1 0 1 1 1 4 0 6 0 0 6 17 4 0
State
City
Newcomerstown New Concord New Franklin New Lebanon New Lexington New London New Middletown New Paris New Philadelphia Newton Falls Newtown New Vienna New Washington North Baltimore North Canton North College Hill Northfield North Olmsted North Ridgeville North Royalton Northwood Norton Norwalk Norwood Oak Harbor Oak Hill Oakwood, Montgomery County Oakwood, Paulding County Oakwood Village Oberlin Olmsted Falls Ontario Orange Village Oregon Orrville Orwell Ottawa Ottawa Hills Owensville Oxford Oxford Township Painesville Parma Parma Heights Pataskala Payne Peebles Peninsula Pepper Pike Perkins Township Perrysburg Perrysville Perry Township, Columbiana County Perry Township, Franklin County Perry Township, Stark County Pickerington Pierce Township Piqua Plain City Poland Township Poland Village Pomeroy Port Clinton Portsmouth Powell Powhatan Point Racine Ravenna Reading
Population
Total law enforcement employees
Total officers
Total civilians
3,916 2,671 15,087 4,150 4,613 2,592 1,587 1,524 17,470 4,752 3,966 1,401 935 3,321 16,761 9,037 3,700 31,854 27,959 29,575 5,482 11,551 16,586 19,255 2,814 1,642
13 4 16 8 12 4 3 1 26 8 7 1 2 5 30 14 7 73 47 58 28 22 32 58 6 3
8 4 12 8 8 4 3 1 22 5 6 1 2 5 23 14 7 57 38 37 21 16 25 52 4 3
5 0 4 0 4 0 0 0 4 3 1 0 0 0 7 0 0 16 9 21 7 6 7 6 2 0
8,532
39
33
6
561 3,625 8,247 8,376 5,301 3,316 19,074 8,451 1,501 4,438 4,628 836 22,457 2,525 17,975 79,250 20,108 13,002 1,149 1,865 689 5,698 12,994 16,885 822
1 15 22 16 24 15 59 17 6 9 14 2 42 3 44 143 40 20 1 1 5 26 26 41 2
1 13 17 10 19 14 45 12 5 9 11 2 27 3 40 88 33 19 1 1 5 20 19 32 2
0 2 5 6 5 1 14 5 1 0 3 0 15 0 4 55 7 1 0 0 0 6 7 9 0
4,685
6
6
0
3,595
11
10
1
28,623 17,854 11,002 20,875 3,653 11,336 2,724 1,989 6,246 20,030 12,527 1,689 755 11,371 9,936
28 36 16 40 9 13 6 12 18 44 18 3 5 32 24
22 26 16 34 9 11 6 6 13 40 17 3 4 24 19
6 10 0 6 0 2 0 6 5 4 1 0 1 8 5
442
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Reminderville Reynoldsburg Richfield Richland Township Richmond Heights Richwood Rio Grande Rittman Riverside Roaming Shores Village Rockford Russell Township Russia Sabina Sagamore Hills Salem Saline Township Sandusky Sebring Senecaville Seven Hills Seville Shadyside Shaker Heights Sharon Township Sharonville Shawnee Hills Shawnee Township Sheffield Lake Shelby Shreve Sidney Silverton Smith Township Smithville Solon Somerset South Charleston South Euclid South Russell South Solon Spencer Spencerville Springboro Springdale Springfield Springfield Township, Hamilton County Springfield Township, Mahoning County Springfield Township, Summit County St. Bernard St. Clair Township Steubenville St. Henry St. Marys Stow St. Paris Strasburg Streetsboro Struthers Sugarcreek Sugarcreek Township Sunbury Sycamore Sylvania Sylvania Township Tallmadge Terrace Park Thornville Tiffin Tipp City Toledo
Population
Total law enforcement employees
Total officers
Total civilians
2,544 33,210 3,607 8,851 10,294 2,148 871 6,291 22,317 1,217 1,111 5,645 627 2,855 9,593 11,915 1,373 25,994 4,587 449 11,875 2,464 3,517 26,959 2,306 12,762 567 8,641 9,049 9,441 1,502 20,110 4,556 4,969 1,306 22,318 1,575 1,808 21,559 3,982 387 825 2,180 17,684 9,520 62,426
8 67 24 2 29 6 1 14 33 2 2 8 1 5 12 25 5 63 10 1 20 9 6 96 10 46 2 15 16 19 3 52 13 4 3 73 1 3 52 8 3 2 4 28 47 143
8 54 17 2 22 6 1 9 32 2 2 7 1 5 10 24 5 53 7 1 19 8 5 70 10 36 2 10 12 15 3 40 10 4 3 46 1 3 40 8 3 2 4 22 38 123
0 13 7 0 7 0 0 5 1 0 0 1 0 0 2 1 0 10 3 0 1 1 1 26 0 10 0 5 4 4 0 12 3 0 0 27 0 0 12 0 0 0 0 6 9 20
35,051
57
50
7
6,116
8
8
0
15,449 4,364 7,805 19,107 2,382 8,189 34,617 1,984 2,704 14,470 10,987 2,167 6,875 3,346 875 19,147 26,380 17,506 2,077 1,127 17,238 9,376 296,403
18 15 13 53 2 19 54 4 4 34 19 5 23 12 1 41 65 37 7 1 42 22 805
16 14 13 43 2 15 44 4 4 26 15 5 16 11 1 34 47 26 6 1 29 19 669
2 1 0 10 0 4 10 0 0 8 4 0 7 1 0 7 18 11 1 0 13 3 136
State
City
Toronto Trenton Trotwood Troy Twinsburg Uhrichsville Union City Uniontown Union Township, Clermont County Union Township, Licking County University Heights Upper Arlington Urbana Utica Valley View, Cuyahoga County Valleyview, Franklin County Vandalia Van Wert Vermilion Vienna Township Village of Leesburg Wadsworth Waite Hill Walbridge Walton Hills Wapakoneta Warren Warrensville Heights Warren Township Washington Court House Waterville Township Wauseon Waverly Waynesville Wellington Wellston Wellsville West Alexandria West Carrollton West Chester Township Westerville Westfield Center West Jefferson West Lafayette Westlake West Liberty West Union West Unity Whitehall Wickliffe Willard Williamsburg Willoughby Willoughby Hills Willowick Wilmington Winchester Windham Wintersville Woodlawn Woodsfield Woodville Wooster Worthington Wyoming Xenia Yellow Springs Youngstown Zanesville
Population
Total law enforcement employees
Total officers
Total civilians
5,321 10,958 26,266 22,356 17,545 5,597 1,673 2,830
10 18 50 46 47 8 5 9
10 14 46 41 35 8 5 8
0 4 4 5 12 0 0 1
43,837
71
55
16
3,813 12,865 31,009 11,582 2,103
3 36 61 22 8
3 30 48 22 3
0 6 13 0 5
2,048
20
18
2
557 14,171 10,381 10,892 3,935 1,345 20,391 554 3,077 2,310 9,583 44,858 13,815 6,173
1 39 31 23 1 3 39 6 4 20 19 99 43 8
1 30 23 18 1 3 29 6 4 15 14 81 36 8
0 9 8 5 0 0 10 0 0 5 5 18 7 0
13,612 5,439 7,390 4,430 3,081 4,693 5,998 3,985 1,328 12,897 55,216 34,907 1,160 4,254 2,539 30,920 1,735 3,145 1,781 17,719 13,045 6,757 2,352 22,319 8,430 13,804 12,806 1,097 2,711 3,860 2,492 2,470 2,002 25,914 12,941 7,485 23,335 3,618 81,521 25,332
28 4 16 17 4 8 16 7 3 31 108 86 1 13 4 73 2 6 4 55 39 17 5 59 26 35 35 1 7 9 15 6 5 43 47 17 70 9 238 91
22 4 14 13 3 6 12 7 3 25 83 72 1 10 4 52 2 4 4 43 29 13 5 44 19 25 24 1 5 8 15 6 5 38 34 15 46 7 191 54
6 0 2 4 1 2 4 0 0 6 25 14 0 3 0 21 0 2 0 12 10 4 0 15 7 10 11 0 2 1 0 0 0 5 13 2 24 2 47 37
SECTION V: LAW ENFORCEMENT PERSONNEL 443 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
OKLAHOMA............
City
Achille Ada Altus Alva Anadarko Antlers Apache Ardmore Arkoma Atoka Bartlesville Beaver Beggs Bethany Bixby Blackwell Blanchard Boise City Boley Bristow Broken Arrow Broken Bow Caddo Calera Carnegie Catoosa Chandler Checotah Chelsea Cherokee Chickasha Choctaw Chouteau Claremore Clayton Cleveland Clinton Coalgate Colbert Collinsville Comanche Cordell Coweta Crescent Cushing Davenport Davis Del City Dewey Drumright Duncan Durant Edmond Elk City El Reno Enid Eufaula Fairfax Fairview Fort Gibson Frederick Geary Glenpool Goodwell Grove Guthrie Guymon Harrah Hartshorne Haskell Healdton Heavener Henryetta Hinton
Population
530 15,901 19,284 4,747 6,519 2,481 1,583 24,663 2,205 3,044 34,902 1,378 1,374 19,456 20,303 7,134 6,351 1,284 1,086 4,402 89,463 4,217 982 1,817 1,589 6,789 2,876 3,520 2,269 1,445 17,346 11,009 2,016 17,519 722 3,230 8,395 1,836 1,115 4,559 1,525 2,910 8,847 1,356 8,479 893 2,671 21,872 3,281 2,890 22,486 15,177 77,879 11,079 16,221 46,454 2,797 1,486 2,592 4,328 4,113 1,239 9,251 1,127 6,141 11,074 10,721 5,010 2,072 1,781 2,772 3,274 6,090 2,172
Total law enforcement employees 5 40 61 10 21 11 3 56 6 16 78 3 7 40 34 19 16 3 1 14 169 18 3 8 7 17 11 13 7 7 38 16 8 53 6 5 25 5 5 16 4 10 23 5 22 2 15 31 10 5 48 48 147 39 43 108 13 6 7 16 13 9 22 3 26 23 21 8 5 6 8 13 17 4
Total officers
4 33 43 8 14 6 3 47 3 15 53 3 2 31 24 15 13 3 1 10 122 13 3 7 4 16 6 10 4 3 26 14 7 37 4 5 16 5 5 11 4 7 15 3 14 2 10 21 8 5 41 35 116 28 31 91 10 3 4 11 12 5 15 3 18 18 14 8 5 6 4 8 12 4
Total civilians
1 7 18 2 7 5 0 9 3 1 25 0 5 9 10 4 3 0 0 4 47 5 0 1 3 1 5 3 3 4 12 2 1 16 2 0 9 0 0 5 0 3 8 2 8 0 5 10 2 0 7 13 31 11 12 17 3 3 3 5 1 4 7 0 8 5 7 0 0 0 4 5 5 0
State
City
Hobart Holdenville Hollis Hominy Hooker Hugo Hulbert Hydro Idabel Jay Jenks Jones Kingfisher Kingston Konawa Krebs Lawton Lexington Lindsay Locust Grove Lone Grove Luther Madill Mangum Mannford Marietta Marlow Maysville McAlester McLoud Meeker Miami Midwest City Minco Moore Mooreland Morris Mountain View Muldrow Muskogee Mustang Newcastle Newkirk Nichols Hills Nicoma Park Noble Norman Nowata Oilton Okemah Oklahoma City Okmulgee Oologah Owasso Pauls Valley Pawhuska Pawnee Perkins Perry Piedmont Pocola Ponca City Porum Poteau Prague Pryor Purcell Ringling Roland Rush Springs Sallisaw Sand Springs Sapulpa Sayre
Population
3,741 5,546 2,072 3,701 1,725 5,573 530 1,034 6,906 3,020 14,906 2,674 4,515 1,561 1,417 2,137 86,864 2,071 2,918 1,589 5,239 1,098 3,735 2,695 2,787 2,568 4,564 1,304 18,414 4,250 1,000 13,622 55,315 1,805 50,548 1,229 1,323 816 3,216 40,113 16,960 6,880 2,128 3,981 2,371 5,638 103,721 4,009 1,125 2,965 542,199 12,805 1,163 25,974 6,175 3,481 2,222 2,251 5,045 5,233 4,499 24,548 735 8,347 2,153 9,361 6,026 1,062 3,216 1,349 8,842 18,362 20,960 2,743
Total law enforcement employees 15 14 11 9 4 15 3 2 24 11 19 7 11 7 5 6 217 10 12 9 8 6 12 10 9 6 13 3 58 12 4 42 116 4 77 1 3 2 8 116 26 21 7 19 6 9 184 8 4 11 1,270 36 4 59 21 13 6 7 23 12 8 62 1 32 17 28 20 1 11 3 29 45 60 12
Total officers
10 9 6 6 4 13 3 2 18 7 13 7 9 7 5 6 162 10 8 5 5 5 11 5 6 4 10 2 45 6 4 30 90 4 71 1 3 2 5 86 19 16 6 15 6 6 133 6 4 7 1,023 30 4 44 15 9 6 7 15 9 5 52 1 27 10 20 19 1 7 2 21 31 47 7
Total civilians
5 5 5 3 0 2 0 0 6 4 6 0 2 0 0 0 55 0 4 4 3 1 1 5 3 2 3 1 13 6 0 12 26 0 6 0 0 0 3 30 7 5 1 4 0 3 51 2 0 4 247 6 0 15 6 4 0 0 8 3 3 10 0 5 7 8 1 0 4 1 8 14 13 5
444
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
OREGON...................
City
Seminole Shawnee Skiatook Snyder Spencer Spiro Stigler Stillwater Stilwell Stratford Stringtown Stroud Sulphur Tahlequah Talihina Tecumseh Texhoma The Village Tishomingo Tonkawa Tulsa Tushka Tuttle Valliant Vian Vinita Wagoner Walters Warner Warr Acres Watonga Waukomis Waurika Waynoka Weatherford Weleetka Westville Wetumka Wewoka Wilburton Wilson Woodward Wright City Wynnewood Yale Yukon Albany Amity Ashland Astoria Athena Aumsville Aurora Baker City Bandon Beaverton Bend Black Butte Boardman Brookings Burns Canby Cannon Beach Carlton Central Point Clatskanie Coburg Columbia City Condon Coos Bay Coquille Cornelius Corvallis Cottage Grove
Population
6,960 30,109 6,486 1,430 3,943 2,336 2,825 45,692 3,551 1,496 413 2,777 4,924 16,491 1,250 6,723 936 9,719 3,248 3,080 381,469 363 5,935 752 1,483 5,982 8,043 2,548 1,447 9,384 5,807 1,192 1,811 901 9,951 938 1,687 1,422 3,368 2,896 1,627 12,064 803 2,311 1,284 22,457 46,999 1,462 21,068 9,935 1,207 3,378 1,025 9,614 2,911 91,184 75,185 3,094 6,476 2,702 15,725 1,740 1,523 16,701 1,663 1,011 1,965 684 16,096 4,250 11,498 49,870 8,921
Total law enforcement employees 15 73 22 3 9 4 13 106 19 5 3 14 15 40 8 16 2 25 7 15 944 3 14 6 5 21 19 4 4 22 11 3 2 3 32 7 10 5 12 6 6 39 3 5 5 46 91 2 34 25 2 7 13 18 8 158 113 7 7 20 4 30 9 3 28 6 4 1 2 35 8 15 80 24
Total officers
13 54 17 3 8 4 9 70 13 3 3 9 11 32 4 11 2 19 6 10 836 3 10 4 4 16 13 4 4 17 8 3 2 3 20 3 6 5 8 5 4 24 3 4 2 34 62 2 27 16 2 6 12 16 7 128 88 6 6 13 4 25 8 3 22 5 4 1 1 24 7 14 53 17
Total civilians
2 19 5 0 1 0 4 36 6 2 0 5 4 8 4 5 0 6 1 5 108 0 4 2 1 5 6 0 0 5 3 0 0 0 12 4 4 0 4 1 2 15 0 1 3 12 29 0 7 9 0 1 1 2 1 30 25 1 1 7 0 5 1 0 6 1 0 0 1 11 1 1 27 7
State
City
Culver Dallas Eagle Point Elgin Enterprise Eugene Fairview Florence Forest Grove Gearhart Gervais Gladstone Gold Beach Grants Pass Gresham Hermiston Hillsboro Hines Hood River Hubbard Independence Jacksonville John Day Junction City Keizer King City Klamath Falls La Grande Lake Oswego Lakeview Lebanon Lincoln City Madras Malin Manzanita McMinnville Medford Milton-Freewater Milwaukie Molalla Monmouth Mount Angel Myrtle Creek Myrtle Point Newberg-Dundee Newport North Bend North Plains Nyssa Oakridge Ontario Oregon City Pendleton Philomath Phoenix Pilot Rock Portland Prairie City Prineville Rainier Redmond Reedsport Rockaway Beach Rogue River Roseburg Salem Sandy Scappoose Seaside Shady Cove Sherwood Silverton Springfield Stanfield
Population
1,064 15,097 8,547 1,623 1,736 147,458 9,753 8,250 20,457 1,117 2,451 12,256 1,909 30,292 98,089 15,148 90,439 1,464 6,778 2,624 9,211 2,190 1,555 5,378 35,423 2,257 19,817 12,288 36,917 2,412 14,620 7,996 5,301 634 640 30,980 71,969 6,392 21,060 7,210 9,751 3,429 3,555 2,509 25,209 9,953 9,892 1,833 3,039 3,127 11,100 31,284 16,620 4,206 4,416 1,511 538,133 936 9,583 1,852 24,095 4,352 1,346 1,943 21,128 154,484 8,770 6,222 6,229 2,293 17,957 9,200 56,201 1,964
Total law enforcement employees 1 29 15 3 4 292 14 24 30 3 5 18 5 72 159 34 151 3 18 7 16 6 9 14 49 5 46 33 73 6 34 34 11 2 3 43 155 17 37 15 15 8 9 6 35 23 24 2 7 11 29 41 24 10 11 2 1,259 1 30 7 51 15 3 5 42 308 15 12 29 4 24 18 110 4
Total officers
1 18 13 3 4 178 13 15 27 3 5 16 4 44 120 23 115 3 15 6 13 5 4 8 41 5 40 18 43 6 22 25 10 1 3 33 103 11 33 12 13 6 7 6 22 19 17 2 7 6 22 34 21 9 9 2 989 1 20 6 36 10 3 4 37 196 12 11 21 4 21 16 70 4
Total civilians
0 11 2 0 0 114 1 9 3 0 0 2 1 28 39 11 36 0 3 1 3 1 5 6 8 0 6 15 30 0 12 9 1 1 0 10 52 6 4 3 2 2 2 0 13 4 7 0 0 5 7 7 3 1 2 0 270 0 10 1 15 5 0 1 5 112 3 1 8 0 3 2 40 0
SECTION V: LAW ENFORCEMENT PERSONNEL 445 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
PENNSYLVANIA ....
City
Stayton St. Helens Sunriver Sutherlin Sweet Home Talent The Dalles Tigard Tillamook Toledo Troutdale Tualatin Turner Umatilla Vernonia Warrenton West Linn Winston Woodburn Yamhill Abington Township Adams Township, Butler County Adams Township, Cambria County Akron Albion Alburtis Aldan Aliquippa Allegheny Township, Blair County Allegheny Township, Westmoreland County Allentown Altoona Ambler Amity Township Annville Township Archbald Arnold Ashland Ashley Ashville Aspinwall Aston Township Athens Athens Township Auburn Avalon Avonmore Boro Baldwin Borough Baldwin Township Bally Bangor Barrett Township Beaver Beaver Falls Bedford Bedminster Township Bell Acres Bellefonte Bellevue Bellwood Ben Avon Bensalem Township Berks-Lehigh Regional Berlin Bern Township Berwick Bessemer Bethel Park Bethel Township, Berks County
Population
7,385 12,708
Total law enforcement employees
Total officers
Total civilians
7,396 8,659 6,150 11,900 50,087 4,435 3,398 15,212 26,712 1,689 5,397 2,319 4,438 25,636 4,803 22,399 850 54,413
18 22 12 17 23 8 22 80 13 13 26 44 3 10 5 9 36 8 41 3 121
15 20 11 15 17 7 20 64 10 8 22 36 3 8 5 8 30 7 32 3 91
3 2 1 2 6 1 2 16 3 5 4 8 0 2 0 1 6 1 9 0 30
8,963
5
5
0
6,113 4,013 1,540 2,393 4,277 10,854
3 5 1 4 4 18
3 5 1 4 4 18
0 0 0 0 0 0
6,907
6
5
1
8,177 107,397 46,609 6,248 11,838 4,717 6,422 5,301 3,121 2,691 262 2,720 16,853 3,272 5,100 805 4,837 775 18,440 2,048 1,112 5,282 4,387 4,447 9,189 3,011 5,681 1,383 6,096 8,023 1,890 1,754 58,788 28,142 2,105 7,165 10,246 1,106 31,669
9 265 82 15 13 6 3 12 5 2 1 5 18 7 10 1 6 1 28 5 2 10 7 9 19 4 7 4 12 17 2 11 125 28 2 13 16 1 44
8 188 74 13 12 5 3 11 5 2 1 4 16 6 9 1 6 1 26 5 2 9 7 8 18 4 6 4 10 14 2 10 95 27 2 13 15 1 38
1 77 8 2 1 1 0 1 0 0 0 1 2 1 1 0 0 0 2 0 0 1 0 1 1 0 1 0 2 3 0 1 30 1 0 0 1 0 6
4,543
2
2
0
State
City
Bethlehem Bethlehem Township Biglerville Birdsboro Birmingham Township Blairsville Blair Township Blakely Blawnox Bloomsburg Town Boyertown Brackenridge Bradford Bradford Township Brandywine Regional Brecknock Township, Berks County Brentwood Briar Creek Township Bridgeport Bridgeville Bridgewater Brighton Township Bristol Bristol Township Brockway Brookhaven Brookville Brownsville Buckingham Township Buffalo Township Burgettstown Bushkill Township Butler Butler Township, Butler County Butler Township, Luzerne County Butler Township, Schuykill County Caernarvon Township, Berks County California Caln Township Cambria Township Cambridge Springs Camp Hill Canonsburg Carbondale Carlisle Carnegie Carrolltown Carroll Township, York County Carroll Valley Castle Shannon Catasauqua Catawissa Cecil Township Center Township Centerville Central Berks Regional Chalfont Charleroi Chartiers Township Cheltenham Township Chester Chester Township Cheswick Chippewa Township Churchill Clarion Claysville Clay Township
Population
Total law enforcement employees
Total officers
Total civilians
72,908 23,960 1,167 5,224 4,273 3,421 4,739 6,782 1,446 12,959 3,961 3,239 8,501 4,763 10,045
174 36 2 8 4 5 4 3 3 21 8 4 22 5 17
151 34 2 7 4 5 4 3 3 15 7 4 22 5 16
23 2 0 1 0 0 0 0 0 6 1 0 0 0 1
4,935 9,574 3,062 4,404 4,898 891 7,996 9,747 54,096 2,080 7,805 4,037 2,653 19,293 7,318 1,497 8,136 14,258
6 16 8 10 10 2 6 17 87 2 9 7 1 23 5 1 12 24
6 14 8 9 9 2 6 15 74 2 8 6 1 21 5 1 10 23
0 2 0 1 1 0 0 2 13 0 1 1 0 2 0 0 2 1
16,894
23
21
2
9,116
10
9
1
5,751
5
5
0
3,615 6,065 12,283 6,199 2,260 7,384 8,856 9,256 18,317 8,001 977
10 8 22 4 3 11 16 11 37 14 1
9 7 20 4 3 10 15 11 32 12 1
1 1 2 0 0 1 1 0 5 2 0
5,383 3,574 8,099 6,562 1,544 10,456 11,804 3,242 7,489 4,243 5,781 7,239 36,403 36,799 4,594 1,751 9,815 3,267 5,141 682 5,766
11 5 13 9 3 17 26 2 13 7 8 11 92 108 11 3 8 11 9 2 4
11 4 12 8 3 16 26 2 12 6 6 11 81 100 10 3 7 11 8 2 4
0 1 1 1 0 1 0 0 1 1 2 0 11 8 1 0 1 0 1 0 0
446
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Clearfield Cleona Clifton Heights Clymer Coal Township Cochranton Colebrookdale District Collegeville Collier Township Collingdale Colonial Regional Columbia Colwyn Conemaugh Township, Cambria County Conemaugh Township, Somerset County Conewago Township, Adams County Conewango Township Conneaut Lake Regional Conoy Township Conshohocken Conyngham Coopersburg Coplay Coraopolis Cornwall Corry Coudersport Covington Township Crafton Cranberry Township Crescent Township Cresson Cresson Township Croyle Township Cumberland Township, Adams County Cumberland Township, Greene County Cumru Township Curwensville Dale Dallas Dallas Township Danville Darby Township Decatur Township Delmont Derry Derry Township, Dauphin County Dickson City Donegal Township Donora Dormont Douglass Township, Berks County Downingtown Doylestown Doylestown Township Dublin Borough Du Bois Duncannon Duncansville Dunmore Dupont Duquesne East Bangor East Berlin East Brady East Buffalo Township
Population
Total law enforcement employees
Total officers
Total civilians
6,240 2,104 6,586 1,448 10,277 1,079 6,462 5,011 6,235 8,440 19,420 10,034 2,375
7 4 10 1 13 1 11 9 16 10 26 22 3
7 4 9 1 12 1 10 8 15 8 24 19 3
0 0 1 0 1 0 1 1 1 2 2 3 0
2,507
2
2
0
7,310
8
8
0
6,184 3,647
9 4
8 4
1 0
3,539 3,288 8,629 1,844 2,573 3,381 5,610 3,460 6,451 2,484 2,154 6,138 28,084 2,823 1,507 4,239 2,262
3 14 21 2 7 4 12 9 16 4 2 10 32 3 1 4 1
3 13 19 2 7 4 9 8 12 4 2 9 28 3 1 3 1
0 1 2 0 0 0 3 1 4 0 0 1 4 0 0 1 0
6,377
6
6
0
6,492 17,595 2,505 1,384 2,493 8,424 4,530 9,615 3,089 2,473 2,822
3 28 3 2 4 7 10 12 1 4 2
3 25 3 2 4 7 9 12 1 4 2
0 3 0 0 0 0 1 0 0 0 0
21,923 5,916 2,574 5,317 8,467
42 7 2 20 16
35 7 2 20 15
7 0 0 0 1
3,545 7,924 8,208 18,847 2,182 7,757 1,503 1,181 13,884 2,601 6,705 1,041 1,451 998 5,939
2 19 21 24 2 13 2 2 17 1 16 1 1 1 8
2 16 16 22 2 13 2 2 17 1 15 1 1 1 8
0 3 5 2 0 0 0 0 0 0 1 0 0 0 0
State
City
East Cocalico Township East Conemaugh East Coventry Township East Deer Township East Earl Township Eastern Adams Regional East Fallowfield Township East Franklin Township East Hempfield Township East Lampeter Township East Lansdowne East McKeesport East Norriton Township East Pennsboro Township East Penn Township East Pikeland Township Easttown Township East Vincent Township East Washington East Whiteland Township Ebensburg Economy Eddystone Edgewood Edgeworth Edinboro Edwardsville Elizabeth Elizabethtown Elizabeth Township Elkland Ellwood City Emlenton Borough Emmaus Emporium Ephrata Erie Etna Evans City Everett Exeter Exeter Township, Berks County Exeter Township, Luzerne County Fairfield Fairview Township, Luzerne County Fairview Township, York County Fallowfield Township Falls Township, Bucks County Fawn Township Ferguson Township Ferndale Findlay Township Fleetwood Folcroft Ford City Forest City Forest Hills Forks Township Forty Fort Foster Township Fountain Hill Fox Chapel Frackville
Population
Total law enforcement employees
Total officers
Total civilians
10,398 1,186 6,236 1,338 6,311
23 2 8 1 7
21 2 7 1 7
2 0 1 0 0
9,083
9
9
0
7,343 3,981
8 4
7 2
1 2
23,212
33
29
4
14,910 2,495 2,816 13,485
43 5 2 31
39 3 2 28
4 2 0 3
19,894 2,716 6,849 10,503 6,589 1,877
20 1 10 15 8 1
19 1 8 14 8 1
1 0 2 1 0 0
10,632 2,880 9,192 2,361 3,018 1,582 6,646 4,688 1,468 11,900 12,837 1,685 8,064 743 11,414 2,270 13,067 101,812 3,578 1,933 1,869 5,995
21 4 13 10 12 6 7 4 2 18 14 1 12 2 17 2 35 204 8 2 4 5
19 4 12 9 10 4 7 4 2 16 13 1 11 2 15 2 30 167 7 2 4 4
2 0 1 1 2 2 0 0 0 2 1 0 1 0 2 0 5 37 1 0 0 1
27,080
34
32
2
2,557 518
2 5
2 4
0 1
4,321
5
5
0
16,630 4,242
18 2
16 2
2 0
34,033 2,324 16,302 1,685 5,053 4,029 6,878 3,190 1,765 6,271 14,452 4,273 4,304 4,602 5,144 4,115
58 3 18 1 23 6 9 3 2 12 19 2 4 9 10 4
51 3 16 1 16 6 9 3 2 11 18 2 4 9 10 4
7 0 2 0 7 0 0 0 0 1 1 0 0 0 0 0
SECTION V: LAW ENFORCEMENT PERSONNEL 447 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Franconia Township Franklin Park Franklin Township, Beaver County Franklin Township, Carbon County Freedom Freedom Township Freeland Freemansburg Freeport Galeton Gallitzin Gettysburg Gilberton Gilpin Township Girard Glenolden Granville Township Greencastle Greenfield Township, Blair County Greensburg Green Tree Greenville Greenwood Township Grove City Hamburg Hamiltonban Township Hampden Township Hanover Township, Luzerne County Hanover Township, Washington County Harmar Township Harmony Township Harrisburg Harrison Township Hastings Hatboro Hatfield Township Haverford Township Hegins Township Heidelberg Heidelberg Township, Berks County Heidelberg Township, Lebanon County Hellam Township Hellertown Hemlock Township Hermitage Highspire Hilltown Township Hollidaysburg Homestead Honesdale Hooversville Hopewell Township Horsham Township Hummelstown Huntingdon Independence Township, Beaver County Indiana Indiana Township Industry Ingram Irwin Ivyland Jackson Township, Butler County
Population
Total law enforcement employees
Total officers
Total civilians
12,623 11,908
14 12
13 11
1 1
4,330
2
2
0
4,873 1,624 3,191 3,411 2,007 1,818 1,263 1,908 8,194 828 2,534 2,991 7,261 4,915 4,036
4 2 1 2 4 2 1 2 13 2 1 4 10 7 2
4 2 1 2 4 2 1 2 11 1 1 4 9 6 2
0 0 0 0 0 0 0 0 2 1 0 0 1 1 0
3,779 15,567 4,353 6,263 2,046 7,644 4,209
2 38 12 10 1 9 5
2 28 11 9 1 8 4
0 10 1 1 0 1 1
2,739 26,612
1 24
1 24
0 0
11,060
15
15
0
2,752 3,018 3,111 46,924 10,016 1,312 7,177 20,241 48,434 3,377 1,149
9 7 5 230 21 1 17 30 81 2 3
3 7 5 179 18 1 14 25 69 2 3
6 0 0 51 3 0 3 5 12 0 0
1,774
1
1
0
4,113 9,139 5,620 2,214 16,576 2,585 13,175 5,563 3,476 4,795 718 12,511 24,947 4,386 6,815
2 8 11 6 32 6 21 11 11 9 1 14 49 6 13
2 8 10 6 29 6 18 8 11 9 1 13 40 6 12
0 0 1 0 3 0 3 3 0 0 0 1 9 0 1
2,736 14,792 6,947 1,821 3,389 4,116 882
4 29 9 1 4 4 2
4 22 9 1 4 4 2
0 7 0 0 0 0 0
3,841
9
7
2
State
City
Jackson Township, Cambria County Jackson Township, Luzerne County Jeannette Jefferson Hills Borough Jenkins Township Jermyn Jersey Shore Jim Thorpe Johnsonburg Johnstown Kane Kennedy Township Kennett Square Kidder Township Kilbuck Township Kingston Kingston Township Kiskiminetas Township Kline Township Knox Koppel Kulpmont Kutztown Laflin Borough Lake City Lancaster Lancaster Township, Butler County Lansdale Lansdowne Lansford Larksville Latrobe Laureldale Lawrence Park Township Lawrence Township, Clearfield County Lebanon Leetsdale Leet Township Lehighton Lehigh Township, Northampton County Lehman Township Lewisburg Liberty Township, Adams County Ligonier Ligonier Township Limerick Township Lincoln Linesville Lititz Littlestown Locust Township Logan Township Lower Burrell Lower Chichester Township Lower Frederick Township Lower Gwynedd Township Lower Heidelberg Township Lower Makefield Township Lower Merion Township Lower Milford Township
Population
Total law enforcement employees
Total officers
Total civilians
4,783
2
2
0
4,597 10,021 9,614 4,951 2,230 4,360 4,898 2,747 23,609 3,828 9,313 5,294 1,386 662 13,036 7,069 4,801 1,491 1,110 788 2,771 5,075 1,503 2,985 54,562
4 15 21 2 1 8 6 2 52 5 15 15 10 4 25 11 1 1 3 1 1 13 3 3 219
4 14 16 2 1 7 6 2 46 5 11 12 10 3 19 11 1 1 3 1 1 11 3 3 167
0 1 5 0 0 1 0 0 6 0 4 3 0 1 6 0 0 0 0 0 0 2 0 0 52
2,574 15,669 10,720 4,180 4,474 8,504 3,783
2 25 19 3 4 14 5
2 19 16 3 4 13 5
0 6 3 0 0 1 0
3,778
8
7
1
7,613 24,144 1,122 1,510 5,489
9 54 4 10 10
8 47 4 5 9
1 7 0 5 1
10,831 3,308 5,572
13 2 10
12 2 8
1 0 2
1,298 1,633 6,784 17,087 1,125 1,110 9,029 4,187 2,518 11,887 12,315
1 3 3 17 1 1 16 8 5 18 16
1 3 3 16 1 1 13 8 5 16 16
0 0 0 1 0 0 3 0 0 2 0
3,458
4
4
0
4,858
3
3
0
11,368
19
18
1
5,282
9
8
1
32,550
40
36
4
57,691
158
139
19
3,919
1
1
0
448
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Lower Moreland Township Lower Paxton Township Lower Pottsgrove Township Lower Providence Township Lower Salford Township Lower Saucon Township Lower Southampton Township Lower Swatara Township Lower Windsor Township Luzerne Township Lykens Macungie Mahanoy City Mahanoy Township Mahoning Township, Carbon County Mahoning Township, Montour County Malvern Manheim Manheim Township Manor Manor Township, Lancaster County Mansfield Marietta Marion Township, Beaver County Marion Township, Berks County Marlborough Township Marple Township Martinsburg Marysville Masontown Matamoras Mayfield McAdoo McCandless McKeesport McKees Rocks McSherrystown Meadville Mechanicsburg Media Mercer Mercersburg Meyersdale Middleburg Middlesex Township, Butler County Middletown Middletown Township Midland Mifflin Mifflinburg Mifflin County Regional Mifflin Township Milford Millbourne Millcreek Township, Erie County Millcreek Township, Lebanon County Millersburg Millersville Millvale Millville
Population
Total law enforcement employees
Total officers
Total civilians
11,894 44,961
27 67
22 60
5 7
12,240
18
16
2
26,047 14,419 11,360
35 21 16
30 19 14
5 2 2
19,189
33
30
3
8,364
11
10
1
7,847 6,739 1,834 3,132 4,361 3,592
11 1 3 5 4 1
10 1 3 5 4 1
1 0 0 0 0 0
4,336
5
5
0
4,262 3,115 4,626 36,069 2,867
7 6 8 69 3
6 5 7 54 3
1 1 1 15 0
18,683 3,245 2,587
22 5 14
20 5 13
2 0 1
889
2
2
0
1,659 3,280 23,579 2,139 2,454 3,424 2,669 1,702 2,103 27,339 22,190 6,042 2,841 13,385 8,771 5,445 2,253 1,556 2,302 1,345
3 4 38 2 1 5 2 1 1 29 54 10 5 26 17 24 4 2 1 3
3 4 33 2 1 5 2 1 1 27 51 9 5 22 16 16 4 2 1 2
0 0 5 0 0 0 0 0 0 2 3 1 0 4 1 8 0 0 0 1
5,564 8,806 47,710 2,898 622 3,564 26,255 2,266 2,945 911
3 16 60 5 1 8 27 10 2 1
3 15 53 5 1 7 25 10 2 1
0 1 7 0 0 1 2 0 0 0
52,592
77
59
18
3,147 2,454 7,204 3,675 950
3 4 14 5 1
3 4 12 5 1
0 0 2 0 0
State
City
Milton Minersville Mohnton Monaca Monessen Monongahela Monroeville Montgomery Montgomery Township Montoursville Moon Township Moore Township Moosic Morris-Cooper Regional Morrisville Morton Moscow Mount Carmel Mount Carmel Township Mount Joy Mount Lebanon Mount Oliver Mount Pleasant Mount Union Muhlenberg Township Muncy Munhall Murrysville Nanticoke Narberth Nazareth Area Neshannock Township Nether Providence Township Newberry Township New Bethlehem New Brighton New Britain New Britain Township New Castle New Castle Township New Garden Township New Hanover Township New Holland New Hope New Kensington Newport New Sewickley Township Newton Township Newtown Newtown Township, Bucks County Newtown Township, Delaware County Newville New Wilmington Norristown Northampton Northampton Township North Belle Vernon North Catasauqua North Charleroi North Cornwall Township North Coventry Township North East, Erie County Northeastern Regional Northern Berks Regional Northern Cambria Borough Northern Regional Northern York Regional
Population
Total law enforcement employees
Total officers
Total civilians
6,377 4,264 3,111 5,833 8,159 4,468 27,659 5,078 24,419 4,630 22,623 9,502 5,793 5,725 9,706 2,649 1,953 5,914 2,586 7,097 30,543 3,681 4,453 2,356 18,334 2,486 11,239 19,565 10,261 4,079 6,061 9,369
10 6 4 7 12 10 55 3 44 6 36 7 9 1 12 5 3 9 5 12 53 8 3 4 29 3 26 26 14 7 6 7
9 6 4 7 12 8 51 3 35 6 30 6 9 1 11 4 3 9 5 12 44 8 3 4 27 3 22 21 13 7 5 7
1 0 0 0 0 2 4 0 9 0 6 1 0 0 1 1 0 0 0 0 9 0 0 0 2 0 4 5 1 0 1 0
13,257 15,563 998 9,493 2,292 10,795 24,514 392 11,699 9,267 5,152 2,296 13,833 1,465 7,722 2,763 2,247
18 18 1 12 6 14 37 1 11 11 13 11 29 2 10 1 5
16 16 1 9 5 12 35 1 10 10 12 9 23 2 9 1 5
2 2 0 3 1 2 2 0 1 1 1 2 6 0 1 0 0
19,234
32
28
4
11,894 1,313 2,396 30,205 9,818 41,293 1,987 2,861 1,327
18 2 4 78 14 49 3 5 1
16 2 4 64 12 43 2 5 1
2 0 0 14 2 6 1 0 0
6,526
10
8
2
7,698 4,268 11,000
13 9 11
12 8 10
1 1 1
12,351
15
14
1
3,970 27,442 63,294
5 30 50
5 28 46
0 2 4
SECTION V: LAW ENFORCEMENT PERSONNEL 449 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Population
North Fayette Township 12,998 North Franklin Township 4,681 North Huntingdon Township 29,478 North Lebanon Township 10,896 North Londonderry Township 6,939 North Middleton Township 10,946 North Sewickley Township 5,729 North Strabane Township 12,176 Northumberland 3,517 North Versailles Township 12,280 North Wales 3,248 Northwest Lancaster County Regional 18,083 Northwest Lawrence County Regional 6,759 Norwegian Township 2,148 Norwood 5,813 Oakmont 6,451 O'Hara Township 9,537 Ohioville 3,654 Oil City 10,762 Old Forge 8,540 Old Lycoming Township 5,317 Oley Township 3,672 Olyphant 4,899 Orangeville Area 1,651 Orwigsburg 2,969 Overfield Township 1,559 Oxford 4,738 Paint Township 3,210 Palmerton 5,261 Palmyra 6,944 Parkesburg 3,455 Parks Township 2,609 Patterson Area 3,617 Patton 1,883 Patton Township 12,839 Paxtang 1,480 Pen Argyl 3,667 Penbrook 2,891 Penn Hills 43,955 Pennridge Regional 10,414 Penn Township, Butler County 5,246 Penn Township, Lancaster County 8,201 Penn Township, Perry County 3,222 Penn Township, Westmoreland County 20,476 Penn Township, York County 16,010 Pequea Township 4,492 Perkasie 8,709 Perryopolis 1,735 Peters Township 20,264 Philadelphia 1,435,533 Phoenixville 15,962 Pine Creek Township 3,179 Pittsburgh 312,179 Pittston 7,600 Plainfield Township 6,142 Plains Township 10,403 Pleasant Hills 7,767 Plum 26,209 Plumstead Township 11,978 Plymouth Township, Montgomery County 16,260
Total law enforcement employees
Total officers
Total civilians
25 6
20 6
5 0
36 11
29 10
7 1
9
8
1
9
8
1
42
40
2
20 5
19 5
1 0
23 5
19 4
4 1
16
15
1
2 1 7 7 16 2 23 5 11 6 5 1 3 3 12 5 10 10 11 2 4 2 19 3 5 6 58 23
2 1 7 7 15 2 18 5 10 6 5 1 3 3 11 4 9 9 10 2 4 2 17 3 5 6 53 15
0 0 0 0 1 0 5 0 1 0 0 0 0 0 1 1 1 1 1 0 0 0 2 0 0 0 5 8
4
3
1
10
9
1
6
5
1
23
21
2
23 9 20 2 23 7,542 26 1 912 10 13 17 17 37 17
21 9 18 2 21 6,714 25 1 850 10 12 16 15 30 15
2 0 2 0 2 828 1 0 62 0 1 1 2 7 2
57
47
10
State
City
Pocono Mountain Regional Pocono Township Point Township Polk Portage Port Allegany Port Carbon Port Vue Pottstown Prospect Park Punxsutawney Pymatuning Township Quakertown Quarryville Raccoon Township Radnor Township Ralpho Township Rankin Reading Redstone Township Reserve Township Reynoldsville Rice Township Richland Township, Bucks County Richland Township, Cambria County Ridgway Ridley Park Ridley Township Riverside Roaring Brook Township Roaring Spring Robesonia Robeson Township Robinson Township, Allegheny County Rochester Rochester Township Rockledge Roseto Rosslyn Farms Ross Township Rostraver Township Rush Township Rye Township Sadsbury Township, Chester County Salem Township, Luzerne County Salisbury Township Sandy Lake Sandy Township Saxonburg Saxton Sayre Schuylkill Haven Schuylkill Township, Chester County Scottdale Scott Township, Allegheny County Scott Township, Columbia County Scott Township, Lackawanna County Scranton Selinsgrove Seven Springs Seward Sewickley Sewickley Heights
Population
Total law enforcement employees
Total officers
Total civilians
35,733 11,468 3,827 1,000 2,631 2,228 1,887 3,865 21,346 6,402 6,046 3,644 8,745 2,150 3,277 31,098 3,909 2,116 81,168 6,106 3,544 2,582 2,826
34 17 5 2 2 3 2 4 60 9 12 4 23 3 4 57 5 1 233 4 6 2 4
29 17 5 2 2 3 2 4 46 9 9 4 15 3 4 47 5 1 206 4 6 2 4
5 0 0 0 0 0 0 0 14 0 3 0 8 0 0 10 0 0 27 0 0 0 0
13,027
13
12
1
12,623 4,194 7,029 30,055 1,795
20 4 14 37 3
19 4 10 32 3
1 0 4 5 0
1,759 2,280 2,074 7,619
2 2 2 6
2 2 2 5
0 0 0 1
13,585 3,717 2,917 2,497 1,655 425 30,522 11,749 3,567 2,511
26 11 4 5 2 2 40 15 3 1
21 9 4 5 2 2 40 14 3 1
5 2 0 0 0 0 0 1 0 0
3,439
2
2
0
4,133 14,006 708 11,602 1,635 761 5,554 5,198
3 14 1 10 2 1 14 8
3 12 1 9 2 1 14 8
0 2 0 1 0 0 0 0
7,811 4,488
12 7
10 7
2 0
15,908
23
22
1
4,976
6
6
0
4,932 72,444 5,339 119 458 3,584 919
4 170 6 7 1 13 5
4 150 5 6 1 12 3
0 20 1 1 0 1 2
450
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Shaler Township Shamokin Shamokin Dam Sharon Sharon Hill Sharpsburg Sharpsville Sheffield Township Shenandoah Shenango Township, Lawrence County Shillington Shippensburg Shippingport Shiremanstown Shohola Township Silver Lake Township Silver Spring Township Sinking Spring Slatington Slippery Rock Smethport Smith Township Solebury Township Somerset Souderton South Abington Township South Annville Township South Beaver Township South Buffalo Township South Centre Township South Coatesville Southern Regional Lancaster County Southern Regional York County South Fayette Township South Fork South Greensburg South Heidelberg Township South Lebanon Township South Londonderry Township South Park Township South Pymatuning Township South Waverly Southwestern Regional Southwest Greensburg Southwest Mercer County Regional Southwest Regional South Whitehall Township South Williamsport Spring City Springdale Springdale Township Springettsbury Township Springfield Township, Bucks County Springfield Township, Delaware County Springfield Township, Montgomery County Spring Garden Township Spring Township, Berks County
Population
Total law enforcement employees
Total officers
Total civilians
28,042 7,396 1,451 15,150 5,326 3,281 4,186 2,232 5,199
27 18 3 33 8 4 6 2 8
26 13 3 28 7 4 5 2 7
1 5 0 5 1 0 1 0 1
7,680 5,047 5,604 223 1,471 2,479 1,772 13,052 3,641 4,420 3,248 1,593 4,508 9,007 6,428 6,623
6 8 9 2 2 1 2 13 5 7 4 2 1 15 7 6
6 8 8 2 2 1 2 12 5 7 4 2 1 13 6 6
0 0 1 0 0 0 0 1 0 0 0 0 0 2 1 0
9,646
12
10
2
3,171 2,875 2,811 1,917 1,075
2 4 2 10 1
2 4 2 10 1
0 0 0 0 0
3,825
9
9
0
9,873 13,174 1,046 2,226
12 18 1 2
11 17 1 2
1 1 0 0
7,146
6
6
0
8,622
8
7
1
7,124 13,953
7 18
6 17
1 1
2,841 980 17,840 2,241
2 3 14 2
2 3 13 2
0 0 1 0
11,421 2,180
21 3
20 2
1 1
19,486 6,064 3,410 3,507 1,655
40 10 4 2 2
37 9 3 2 2
3 1 1 0 0
24,663
33
30
3
5,099
2
2
0
22,935
40
34
6
19,003
29
28
1
11,876
20
18
2
26,659
30
29
1
State
City
Spring Township, Centre County State College St. Clair Boro Steelton Stewartstown St. Marys City Stoneboro Stonycreek Township Stowe Township Strasburg Stroud Area Regional Sugarcreek Sugarloaf Township, Luzerne County Summerhill Township Summit Hill Summit Township Sunbury Susquehanna Regional Susquehanna Township, Dauphin County Swarthmore Swatara Township Sweden Township Swissvale Swoyersville Tamaqua Tarentum Taylor Telford Throop Tidioute Tinicum Township, Bucks County Tinicum Township, Delaware County Titusville Towamencin Township Towanda Trainer Tredyffrin Township Troy Tullytown Tulpehocken Township Tunkhannock Tunkhannock Township, Wyoming County Turtle Creek Ulster Township Union City Uniontown Union Township, Lawrence County Upland Upper Burrell Township Upper Chichester Township Upper Darby Township Upper Gwynedd Township Upper Makefield Township Upper Merion Township Upper Moreland Township Upper Nazareth Township Upper Perkiomen Upper Pottsgrove Township Upper Providence Township, Delaware County
Population
Total law enforcement employees
Total officers
Total civilians
6,720 52,047 3,052 5,576 2,047 13,614 1,038 2,959 6,110 2,734 35,211 5,033
7 78 6 9 6 15 1 2 8 4 58 6
6 65 6 8 5 14 1 2 7 4 53 6
1 13 0 1 1 1 0 0 1 0 5 0
3,975 2,618 2,996 2,278 9,855 6,533
5 3 3 2 14 14
4 3 3 2 12 13
1 0 0 0 2 1
22,905 6,148 22,281 741 8,811 7,649 6,633 4,558 6,177 4,629 3,996 732
42 9 42 1 14 7 10 8 7 7 5 1
40 9 40 1 14 7 9 7 7 6 5 1
2 0 2 0 0 0 1 1 0 1 0 0
4,265
5
5
0
4,226 5,759 17,812 2,885 1,847 29,002 1,479 1,981 3,588 1,801
17 16 34 6 6 60 3 7 3 5
15 16 22 6 6 51 3 6 3 5
2 0 12 0 0 9 0 1 0 0
4,332 5,569 1,299 3,348 11,774
4 7 1 3 16
4 6 1 3 16
0 1 0 0 0
5,102 2,965 2,166
2 1 3
2 1 2
0 0 1
17,623 79,020
25 139
23 126
2 13
15,870
23
20
3
8,668 26,680
17 81
16 62
1 19
24,398
50
39
11
5,669 6,464
4 9
3 8
1 1
5,161
12
11
1
11,232
13
12
1
SECTION V: LAW ENFORCEMENT PERSONNEL 451 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Upper Providence Township, Montgomery County Upper Saucon Township Upper Southampton Township Upper St. Clair Township Upper Uwchlan Township Upper Yoder Township Uwchlan Township Valley Township Vandergrift Vernon Township Verona Walnutport Warminster Township Warren Warrington Township Warwick Township, Bucks County Warwick Township, Lancaster County Washington, Washington County Washington Township, Fayette County Washington Township, Northampton County Washington Township, Westmoreland County Watsontown Waynesboro Waynesburg Weatherly Wellsboro Wernersville Wesleyville West Alexander West Brandywine Township West Caln Township West Chester West Conshohocken West Deer Township West Earl Township West Fallowfield Township Westfall Township West Goshen Township West Grove Borough West Hazleton West Hempfield Township West Hills Regional West Homestead West Lampeter Township West Lebanon Township West Manchester Township West Manheim Township West Mead Township West Mifflin West Norriton Township West Penn Township West Pikeland Township West Pike Run West Pittston West Pottsgrove Township West Reading West Sadsbury Township
Population
Total law enforcement employees
Total officers
Total civilians
19,373 14,725
23 19
21 18
2 1
15,404
25
22
3
18,927
35
28
7
10,022 5,580 18,689 6,445 5,088 5,398 2,857 2,170 33,777 9,519 23,208
10 13 24 4 8 5 5 4 54 20 31
10 13 22 4 8 4 4 4 48 14 28
0 0 2 0 0 1 1 0 6 6 3
15,086
19
17
2
17,362
17
15
2
14,710
33
31
2
4,186
3
3
0
4,898
4
4
0
7,476 2,100 9,755 4,169 2,608 3,293 2,504 3,386 304
7 5 21 10 4 6 2 11 2
7 5 19 8 4 6 2 10 2
0 0 2 2 0 0 0 1 0
7,756 8,237 18,276 1,505 12,002 7,465
8 1 58 10 12 6
7 1 47 9 11 6
1 0 11 1 1 0
2,615 2,933 21,255 2,712 3,334
1 5 29 3 1
1 5 24 3 1
0 0 5 0 0
16,026 10,863 2,008
21 12 18
19 11 7
2 1 11
15,539 840
16 11
15 10
1 1
18,181 7,178 5,119 20,757 14,642 4,233 4,113 1,848 4,883
29 8 2 42 32 3 4 1 4
26 8 2 37 27 3 4 1 4
3 0 0 5 5 0 0 0 0
3,801 4,086 2,512
9 18 4
9 16 3
0 2 1
State
RHODE ISLAND.....
SOUTH CAROLINA...............
City
West Salem Township West Shore Regional Westtown-East Goshen Regional West View West Vincent Township West Whiteland Township West Wyoming West York Whitehall Whitehall Township White Haven Borough Whitemarsh Township White Oak White Township Whitpain Township Wiconisco Township Wilkes-Barre Wilkes-Barre Township Wilkinsburg Wilkins Township Williamsburg Williamsport Willistown Township Windber Wyoming Wyomissing Yeadon York York Area Regional Youngsville Zelienople Barrington Bristol Burrillville Central Falls Charlestown Coventry Cranston Cumberland East Greenwich East Providence Foster Glocester Hopkinton Jamestown Johnston Lincoln Little Compton Middletown Narragansett Newport New Shoreham North Kingstown North Providence North Smithfield Pawtucket Portsmouth Providence Richmond Scituate Smithfield South Kingstown Tiverton Warren Warwick Westerly West Greenwich West Warwick Woonsocket Abbeville Aiken
Population
Total law enforcement employees
Total officers
Total civilians
3,389 6,619
10 11
9 9
1 2
31,691 6,704 4,180
32 12 4
30 8 4
2 4 0
18,480 2,698 4,219 13,439 26,917 1,153 17,422 8,064 1,334 18,799 1,102 41,050 3,060 17,583 6,453 1,260 29,701 10,861 4,043 3,020 10,464 11,440 40,339 57,252 1,689 4,008 16,414 24,274 16,392 18,818 8,131 34,353 80,724 34,027 13,338 48,668 4,467 10,498 7,976 5,484 28,585 21,855 3,510 16,278 16,552 24,192 1,023 26,475 32,685 11,183 72,319 16,853 173,719 7,665 10,814 21,495 29,172 15,074 11,089 85,139 23,197 6,371 29,293 43,529
30 2 8 25 59 2 39 12 4 38 1 95 18 27 12 2 57 18 3 5 27 16 114 53 2 10 30 51 36 54 26 73 180 58 43 123 13 22 23 19 94 44 14 41 52 105 9 62 94 26 183 34 576 18 25 55 73 40 27 228 62 17 73 117
28 2 8 20 50 2 32 11 4 31 1 87 16 24 12 2 53 16 2 5 22 14 100 48 2 9 23 40 26 44 21 60 148 47 34 105 7 16 16 15 75 36 10 37 41 85 5 50 71 21 147 31 484 13 18 41 55 28 22 177 51 11 60 100
2 0 0 5 9 0 7 1 0 7 0 8 2 3 0 0 4 2 1 0 5 2 14 5 0 1 7 11 10 10 5 13 32 11 9 18 6 6 7 4 19 8 4 4 11 20 4 12 23 5 36 3 92 5 7 14 18 12 5 51 11 6 13 17
5,659 29,256
24 125
21 83
3 42
452
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Allendale Anderson Andrews Atlantic Beach Aynor Bamberg Barnwell Batesburg-Leesville Beaufort Belton Bennettsville Bethune Bishopville Blacksburg Blackville Bluffton Bonneau Bowman Branchville Brunson Burnettown Calhoun Falls Camden Cameron Campobello Cayce Central Chapin Charleston Cheraw Chesnee Chester Chesterfield Clemson Clinton Clio Clover Columbia Conway Cottageville Coward Cowpens Darlington Denmark Dillon Due West Duncan Easley Edgefield Edisto Beach Ehrhardt Elgin Elloree Estill Eutawville Fairfax Florence Folly Beach Forest Acres Fort Lawn Fort Mill Fountain Inn Gaffney Gaston Georgetown Goose Creek Great Falls Greeleyville Greenville Greenwood Greer Hampton Hanahan Hardeeville
Population
3,781 26,326 3,017 385 580 3,480 4,847 5,620 11,960 4,607 10,898 367 3,945 1,899 2,888 3,791 338 1,163 1,037 576 2,670 2,231 7,071 416 584 12,659 4,147 698 109,382 5,417 1,057 6,074 1,321 12,532 9,018 740 4,493 120,549 14,285 699 674 2,364 6,525 3,052 6,382 1,286 3,020 19,372 4,529 724 561 1,080 698 2,381 329 3,167 31,377 2,339 9,818 816 8,709 7,261 12,945 1,405 8,668 32,139 2,052 410 57,595 22,428 23,224 2,780 13,983 1,857
Total law enforcement employees 10 124 9 5 6 12 18 22 53 14 37 1 15 11 9 33 2 3 5 3 2 8 30 1 5 74 11 7 513 27 5 31 6 36 36 4 17 360 63 5 2 5 27 12 22 5 14 55 9 6 3 6 3 8 3 7 124 19 34 4 37 28 44 2 38 73 7 3 215 56 67 8 38 17
Total officers
9 91 8 5 5 10 16 17 48 12 34 1 13 11 7 29 2 3 4 2 2 8 26 1 5 61 10 5 368 21 5 24 5 27 34 3 13 320 49 4 2 5 24 10 18 5 14 43 9 6 2 5 3 5 3 6 100 13 27 4 31 21 40 2 29 53 6 3 171 49 51 8 30 15
Total civilians
1 33 1 0 1 2 2 5 5 2 3 0 2 0 2 4 0 0 1 1 0 0 4 0 0 13 1 2 145 6 0 7 1 9 2 1 4 40 14 1 0 0 3 2 4 0 0 12 0 0 1 1 0 3 0 1 24 6 7 0 6 7 4 0 9 20 1 0 44 7 16 0 8 2
State
City
Harleyville Hartsville Hemingway Holly Hill Honea Path Inman Irmo Isle of Palms Iva Jackson Jamestown Johnsonville Johnston Jonesville Kingstree Lake City Lake View Lamar Lancaster Landrum Lane Latta Laurens Lexington Liberty Loris Lyman Lynchburg Manning Marion Mauldin McBee McColl McCormick Moncks Corner Mount Pleasant Mullins Myrtle Beach Newberry New Ellenton Nichols Ninety Six North North Augusta North Charleston North Myrtle Beach Norway Orangeburg Pacolet Pageland Pamplico Pawleys Island Pelion Pickens Pine Ridge Port Royal Prosperity Ridgeland Ridgeville Rock Hill Salem Salley Saluda Santee Scranton Seneca Simpsonville Society Hill South Congaree Spartanburg Springdale Springfield St. George St. Matthews
Population
694 7,460 513 1,346 3,628 1,942 11,364 4,653 1,188 1,650 96 1,461 2,339 914 3,317 6,693 789 1,001 8,393 2,554 533 1,501 9,841 14,715 3,034 2,322 2,812 579 4,016 6,949 20,494 713 2,368 2,712 6,645 60,746 4,820 29,361 10,927 2,251 404 1,920 778 20,270 88,431 15,577 363 13,674 2,756 2,539 1,152 143 599 2,990 1,760 9,959 1,072 2,640 2,075 63,388 132 415 2,979 714 998 8,076 16,211 696 2,413 38,388 2,956 483 2,124 1,995
Total law enforcement employees 4 33 5 8 14 8 25 30 6 4 3 5 7 4 21 25 4 4 43 10 1 11 37 42 17 12 8 4 17 26 50 2 4 7 28 175 22 229 33 6 3 5 3 62 388 121 2 94 4 15 4 7 3 14 3 21 6 15 3 160 2 1 10 5 2 42 49 4 7 147 10 1 11 6
Total officers
4 30 3 8 14 8 22 20 5 4 2 4 7 4 19 18 4 4 34 9 1 10 30 39 11 8 7 4 15 22 39 1 4 7 25 137 21 179 30 6 3 5 3 51 291 95 1 70 4 10 4 6 3 13 2 20 4 14 2 118 2 1 10 1 2 31 39 4 7 121 10 1 10 6
Total civilians
0 3 2 0 0 0 3 10 1 0 1 1 0 0 2 7 0 0 9 1 0 1 7 3 6 4 1 0 2 4 11 1 0 0 3 38 1 50 3 0 0 0 0 11 97 26 1 24 0 5 0 1 0 1 1 1 2 1 1 42 0 0 0 4 0 11 10 0 0 26 0 0 1 0
SECTION V: LAW ENFORCEMENT PERSONNEL 453 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
SOUTH DAKOTA ...................
City
Population
Total law enforcement employees
Total officers
Total civilians
St. Stephen Sullivans Island Summerton Summerville Sumter Surfside Beach Swansea Tega Cay Timmonsville Travelers Rest Turbeville Union Vance Varnville Wagener Walhalla Walterboro Ware Shoals Wellford West Columbia Westminster West Pelzer Whitmire Williamston Williston Winnsboro Woodruff Yemassee York
1,702 1,868 1,047 43,985 38,955 4,846 784 4,612 2,384 4,396 721 8,167 199 2,035 878 3,689 5,601 2,359 2,315 13,729 2,675 905 1,543 3,914 3,239 3,637 4,076 857 7,537
6 7 10 97 160 24 5 20 9 21 3 39 1 8 3 15 31 9 8 61 9 3 6 16 10 27 14 7 32
6 6 9 77 111 18 4 16 7 15 3 37 1 8 3 14 24 7 7 50 9 3 4 13 9 26 12 7 25
0 1 1 20 49 6 1 4 2 6 0 2 0 0 0 1 7 2 1 11 0 0 2 3 1 1 2 0 7
Aberdeen Alcester Armour Avon Belle Fourche Beresford Box Elder Brandon Brookings Burke Canton Centerville Chamberlain Clark Corsica Deadwood Eagle Butte Elk Point Estelline Eureka Faith Flandreau Freeman Gettysburg Gregory Groton Highmore Hot Springs Hoven Huron Jefferson Kadoka Kimball Lead Lemmon Lennox Leola Madison Martin McIntosh McLaughlin Menno Milbank Miller
23,992 890 693 536 4,769 2,069 3,112 7,956 18,805 590 3,237 856 2,241 1,128 601 1,269 950 1,885 668 952 456 2,306 1,178 1,130 1,218 1,370 767 4,095 421 10,779 593 673 678 2,837 1,205 2,154 394 6,221 1,029 212 755 675 3,257 1,343
46 2 1 1 11 8 9 12 35 1 5 1 5 2 2 14 2 4 1 1 2 7 2 2 3 3 1 7 1 32 2 1 1 6 3 4 1 12 4 1 2 1 6 3
38 2 1 1 10 4 7 11 28 1 5 1 5 2 2 11 2 4 1 1 1 6 2 2 3 3 1 6 1 25 2 1 1 5 3 4 1 11 4 1 1 1 6 3
8 0 0 0 1 4 2 1 7 0 0 0 0 0 0 3 0 0 0 0 1 1 0 0 0 0 0 1 0 7 0 0 0 1 0 0 0 1 0 0 1 0 0 0
State
TENNESSEE .............
City
Mitchell Mobridge New Effington North Sioux City Parkston Philip Pierre Platte Rapid City Rosholt Scotland Selby Sioux Falls Sisseton Spearfish Springfield Sturgis Tea Tripp Tyndall Vermillion Viborg Wagner Watertown Webster Whitewood Winner Worthing Yankton Adamsville Alamo Alcoa Alexandria Algood Ardmore Ashland City Athens Atoka Baileyton Bartlett Baxter Bean Station Belle Meade Bells Benton Berry Hill Bethel Springs Big Sandy Blaine Bluff City Bolivar Bradford Brentwood Brighton Bristol Brownsville Bruceton Burns Calhoun Camden Carthage Caryville Celina Centerville Chapel Hill Charleston Chattanooga Church Hill Clarksville Cleveland Clifton Clinton Collegedale Collierville
Population
14,894 3,188 225 2,545 1,506 728 14,124 1,317 63,162 437 816 674 144,985 2,515 9,796 1,510 6,090 2,922 643 1,135 9,810 793 1,596 20,568 1,732 810 2,892 858 13,805 2,122 2,349 8,544 870 3,293 1,142 4,696 14,183 6,868 501 47,333 1,367 3,043 3,170 2,275 1,080 690 786 515 1,751 1,629 5,617 1,063 35,019 2,664 25,346 10,539 1,469 1,411 522 3,693 2,234 2,400 1,380 4,018 1,285 654 155,043 6,644 114,582 38,808 2,684 9,516 7,423 39,569
Total law enforcement employees 36 13 1 7 2 2 38 2 134 1 1 1 253 7 26 2 19 3 1 2 17 1 3 49 5 2 9 1 37 9 4 48 3 12 11 14 29 17 2 143 5 6 19 5 7 17 1 2 4 10 25 2 70 6 86 35 4 3 4 19 11 6 11 21 5 3 615 11 286 102 6 27 22 120
Total officers
27 7 1 6 2 2 25 2 107 1 1 1 216 7 18 2 16 3 1 2 16 1 3 35 5 2 8 1 26 6 4 41 3 11 6 13 27 16 2 111 5 6 15 5 7 13 1 2 3 10 19 2 57 6 65 30 4 3 4 14 7 6 5 13 5 3 421 10 233 90 6 25 21 87
Total civilians
9 6 0 1 0 0 13 0 27 0 0 0 37 0 8 0 3 0 0 0 1 0 0 14 0 0 1 0 11 3 0 7 0 1 5 1 2 1 0 32 0 0 4 0 0 4 0 0 1 0 6 0 13 0 21 5 0 0 0 5 4 0 6 8 0 0 194 1 53 12 0 2 1 33
454
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Collinwood Columbia Cookeville Coopertown Copperhill Cornersville Covington Cowan Cross Plains Crossville Crump Cumberland City Dandridge Dayton Decatur Decaturville Decherd Dickson Dover Dresden Dunlap Dyer Dyersburg East Ridge Elizabethton Elkton Englewood Erin Erwin Estill Springs Ethridge Etowah Fairview Fayetteville Franklin Friendship Gainesboro Gallatin Gallaway Gates Gatlinburg Germantown Gibson Gleason Goodlettsville Gordonsville Grand Junction Graysville Greenbrier Greeneville Greenfield Halls Harriman Henderson Hendersonville Henning Henry Hohenwald Hollow Rock Hornbeak Humboldt Huntingdon Huntland Jacksboro Jackson Jamestown Jasper Jefferson City Jellico Johnson City Jonesborough Kenton Kimball Kingsport
Population
1,038 33,897 28,691 3,324 465 948 9,193 1,758 1,602 11,111 1,457 321 2,497 6,686 1,468 825 2,164 13,171 1,550 2,629 4,891 2,422 17,391 19,641 13,917 500 1,722 1,453 5,802 2,285 555 3,775 7,712 7,104 57,489 602 845 28,419 715 852 5,165 37,450 406 1,402 15,854 1,320 312 1,438 6,434 15,558 2,028 2,201 6,714 6,290 46,989 1,290 545 3,832 943 425 9,213 4,163 882 2,055 63,125 1,907 3,086 8,055 2,546 60,488 4,803 1,306 1,380 44,079
Total law enforcement employees 3 88 90 10 2 3 33 6 3 43 4 3 10 19 3 1 11 47 6 9 12 6 68 45 39 2 6 5 12 6 1 14 17 24 148 1 4 79 9 2 55 108 3 5 55 5 2 4 13 47 8 10 23 15 95 1 1 15 2 1 30 16 4 6 229 9 8 21 6 175 20 5 9 146
Total officers
3 77 69 9 2 3 32 6 3 39 3 3 9 17 3 1 10 42 6 8 11 6 57 32 35 2 6 4 12 6 1 10 16 22 125 1 4 60 8 2 45 86 3 5 40 5 2 4 12 45 7 10 22 14 71 1 1 14 2 1 24 12 4 6 188 9 8 19 6 146 15 5 9 104
Total civilians
0 11 21 1 0 0 1 0 0 4 1 0 1 2 0 0 1 5 0 1 1 0 11 13 4 0 0 1 0 0 0 4 1 2 23 0 0 19 1 0 10 22 0 0 15 0 0 0 1 2 1 0 1 1 24 0 0 1 0 0 6 4 0 0 41 0 0 2 0 29 5 0 0 42
State
City
Kingston Kingston Springs Knoxville Lafayette La Follette La Grange Lake City Lakewood La Vergne Lawrenceburg Lebanon Lenoir City Lewisburg Lexington Livingston Lookout Mountain Loretto Loudon Madisonville Manchester Martin Maryville Mason Maynardville McEwen McKenzie McMinnville Medina Memphis Middleton Milan Millersville Millington Minor Hill Monteagle Monterey Morristown Moscow Mountain City Mount Carmel Mount Juliet Mount Pleasant Munford Murfreesboro Nashville Newbern New Hope New Johnsonville New Market Newport New Tazewell Niota Nolensville Norris Oakland Oak Ridge Obion Oliver Springs Oneida Paris Parsons Petersburg Pigeon Forge Pikeville Piperton Pittman Center Pleasant View Portland Powells Crossroads Pulaski Puryear Red Bank Red Boiling Springs Ridgely
Population
5,588 2,945 183,319 4,289 8,212 146 1,856 2,403 28,719 10,826 24,219 7,835 10,866 7,829 3,518 1,865 1,707 4,915 4,542 9,858 10,043 26,941 1,174 1,940 1,681 5,438 13,378 1,609 669,264 623 7,885 6,365 10,323 450 1,209 2,856 27,147 571 2,389 5,436 20,259 4,442 6,268 96,264 564,169 3,134 1,025 1,993 1,327 7,406 2,896 805 2,643 1,468 3,821 27,682 1,100 3,322 3,685 10,014 2,377 603 6,019 1,890 1,001 622 3,822 11,060 1,216 7,869 678 11,526 1,072 1,513
Total law enforcement employees 13 6 482 22 27 1 10 3 62 40 86 22 35 28 18 20 3 16 16 39 32 59 7 4 5 20 40 10 2,529 4 33 15 48 1 12 8 86 5 10 7 53 12 15 234 1,568 19 1 4 5 31 11 3 6 7 19 67 4 14 20 37 7 2 64 3 11 2 5 32 1 28 2 24 5 6
Total officers
12 5 382 15 21 1 7 3 45 34 71 21 25 24 12 16 3 15 14 32 26 52 6 4 4 15 36 10 2,056 4 27 11 37 1 5 8 80 5 10 7 39 11 14 186 1,250 13 1 4 4 27 11 3 6 7 16 53 4 10 15 26 7 2 52 3 9 2 5 26 1 25 2 22 5 5
Total civilians
1 1 100 7 6 0 3 0 17 6 15 1 10 4 6 4 0 1 2 7 6 7 1 0 1 5 4 0 473 0 6 4 11 0 7 0 6 0 0 0 14 1 1 48 318 6 0 0 1 4 0 0 0 0 3 14 0 4 5 11 0 0 12 0 2 0 0 6 0 3 0 2 0 1
SECTION V: LAW ENFORCEMENT PERSONNEL 455 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
TEXAS........................
City
Ridgetop Ripley Rockwood Rogersville Rossville Rutherford Rutledge Savannah Scotts Hill Selmer Sevierville Sewanee Sharon Shelbyville Signal Mountain Smithville Smyrna Sneedville Soddy-Daisy Somerville South Carthage South Fulton South Pittsburg Sparta Spencer Spring City Springfield Spring Hill St. Joseph Surgoinsville Sweetwater Tazewell Tellico Plains Tiptonville Townsend Tracy City Trenton Trezevant Trimble Troy Tullahoma Tusculum Union City Vonore Wartburg Watertown Waverly Waynesboro Westmoreland White Bluff White House White Pine Whiteville Whitwell Winchester Winfield Woodbury Abernathy Abilene Addison Alamo Alamo Heights Alice Allen Alpine Alto Alton Alvarado Alvin Amarillo Andrews Angleton Anna Anson
Population
1,705 7,705 5,453 4,327 514 1,236 1,282 7,281 913 4,724 16,070 2,555 908 19,586 7,063 4,227 35,664 1,309 12,098 2,949 1,301 2,446 3,113 4,839 1,683 2,018 16,844 23,774 859 1,777 6,419 2,158 955 3,998 262 1,685 4,538 889 727 1,241 19,036 2,260 10,772 1,483 912 1,408 4,215 2,146 2,195 2,473 9,464 2,099 4,480 1,589 7,911 999 2,554 2,748 114,644 13,764 16,496 7,087 19,850 78,630 6,056 1,152 7,793 4,200 22,542 187,234 9,541 18,811 1,811 2,364
Total law enforcement employees 7 33 16 19 4 4 6 27 2 19 65 13 1 52 16 11 99 1 30 11 4 7 8 16 3 7 55 46 1 3 20 6 3 5 4 5 24 1 2 4 42 2 44 11 4 4 14 8 10 3 26 9 8 8 25 3 9 4 232 79 37 30 45 140 17 4 16 21 74 413 25 49 8 2
Total officers
6 26 15 14 4 4 4 16 2 18 51 9 1 41 15 10 78 1 24 11 4 6 8 15 3 7 38 34 1 2 18 6 3 5 4 5 18 1 2 4 37 2 36 10 4 4 13 8 6 3 18 8 8 5 24 3 8 4 163 58 28 19 36 99 10 4 12 15 47 303 16 37 8 2
Total civilians
1 7 1 5 0 0 2 11 0 1 14 4 0 11 1 1 21 0 6 0 0 1 0 1 0 0 17 12 0 1 2 0 0 0 0 0 6 0 0 0 5 0 8 1 0 0 1 0 4 0 8 1 0 3 1 0 1 0 69 21 9 11 9 41 7 0 4 6 27 110 9 12 0 0
State
City
Anthony Anton Aransas Pass Arcola Argyle Arlington Arp Athens Atlanta Austin Azle Baird Balch Springs Balcones Heights Ballinger Bangs Bastrop Bay City Bayou Vista Baytown Beaumont Bedford Bee Cave Beeville Bellaire Bellmead Bellville Belton Benbrook Bertram Beverly Hills Big Sandy Big Spring Bishop Blanco Bloomburg Blue Mound Boerne Bogata Bonham Borger Bovina Bowie Brady Brazoria Breckenridge Bremond Brenham Bridge City Bridgeport Brookshire Brookside Village Brownfield Brownsville Brownwood Bruceville-Eddy Bryan Bullard Bulverde Burkburnett Burleson Burnet Cactus Caddo Mills Caldwell Calvert Cameron Caney City Canton Canyon Carrollton Carthage Castle Hills Castroville
Population
4,155 1,153 9,082 1,292 3,291 372,073 945 12,742 5,606 716,817 10,973 1,668 19,852 2,969 3,875 1,636 7,966 18,211 1,717 69,040 109,345 48,974 2,464 13,721 17,879 9,573 4,416 16,191 22,618 1,378 2,046 1,360 24,099 3,199 1,641 368 2,354 9,090 1,318 10,756 13,128 1,790 5,591 5,382 2,998 5,647 895 14,887 8,735 5,966 3,734 2,005 9,110 177,090 19,820 1,535 67,484 1,741 4,662 10,203 33,383 5,779 2,679 1,218 3,807 1,401 5,883 260 3,688 13,644 123,324 6,598 4,148 3,080
Total law enforcement employees 14 1 28 7 10 759 4 33 19 1,995 31 2 54 22 7 4 21 52 5 179 303 135 11 23 56 25 11 35 48 2 10 5 58 8 4 1 11 42 3 25 36 2 21 17 12 17 2 32 18 24 14 5 24 307 54 3 156 6 12 24 71 13 6 3 14 4 13 3 18 23 232 21 26 11
Total officers
13 1 22 6 9 584 4 25 15 1,418 24 2 37 17 6 4 18 36 5 129 236 82 10 18 42 17 10 27 37 2 6 4 37 4 4 1 7 26 3 17 26 2 14 9 7 12 2 29 13 16 10 5 16 231 35 3 121 5 12 19 52 11 5 3 13 4 8 3 13 20 165 14 20 9
Total civilians
1 0 6 1 1 175 0 8 4 577 7 0 17 5 1 0 3 16 0 50 67 53 1 5 14 8 1 8 11 0 4 1 21 4 0 0 4 16 0 8 10 0 7 8 5 5 0 3 5 8 4 0 8 76 19 0 35 1 0 5 19 2 1 0 1 0 5 0 5 3 67 7 6 2
456
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Population
Cedar Hill 44,629 Cedar Park 57,286 Celina 4,789 Center 5,823 Childress 6,631 Chillicothe 721 Cibolo 11,960 Cisco 3,777 Clarksville 3,582 Cleburne 30,174 Cleveland 8,081 Clifton 3,654 Clint 990 Clute 10,781 Clyde 3,744 Cockrell Hill 4,291 Coffee City 209 Coleman 4,832 College Station 74,997 Colleyville 23,743 Collinsville 1,528 Colorado City 3,918 Columbus 3,930 Comanche 4,308 Combes 2,892 Commerce 9,692 Conroe 51,582 Converse 14,323 Coppell 39,572 Copperas Cove 29,706 Corrigan 1,975 Corsicana 26,696 Cottonwood Shores 1,166 Crane 3,028 Crockett 6,960 Crowell 1,055 Crowley 11,618 Crystal City 7,388 Cuero 6,642 Cuney 150 Daingerfield 2,462 Dalhart 6,990 Dallas 1,239,104 Dalworthington Gardens 2,408 Danbury 1,683 Dayton 7,377 Decatur 6,402 Deer Park 29,971 De Kalb 1,795 Del Rio 36,864 Denison 24,130 Denton 113,936 Denver City 4,012 DeSoto 47,253 Devine 4,531 Diboll 5,512 Dickinson 18,151 Dilley 4,142 Dimmitt 3,815 Donna 16,662 Double Oak 3,199 Driscoll 818 Dublin 3,674 Dumas 14,084 Duncanville 35,512 Eagle Lake 3,732 Eagle Pass 26,974 Early 2,821 Earth 1,046 Eastland 3,915 Eden 2,386 Edgewood 1,478 Edinburg 69,708 Edna 5,854
Total law enforcement employees 86 84 7 23 13 2 19 9 9 69 33 7 1 37 8 18 2 14 154 46 2 11 11 8 7 21 139 43 72 63 9 51 2 10 16 1 31 14 14 2 7 18 3,816 18 3 20 27 74 6 87 59 205 14 92 10 20 40 6 8 33 6 3 12 28 70 9 77 8 2 11 3 5 154 11
Total officers
66 59 7 15 8 2 17 7 9 53 23 6 1 27 7 13 2 8 108 36 2 7 10 7 6 18 105 31 56 46 6 39 2 6 14 1 24 9 13 1 7 15 3,212 14 3 15 20 54 6 63 45 153 8 69 8 14 30 6 6 23 6 2 9 24 58 8 62 7 2 9 3 4 111 9
Total civilians
20 25 0 8 5 0 2 2 0 16 10 1 0 10 1 5 0 6 46 10 0 4 1 1 1 3 34 12 16 17 3 12 0 4 2 0 7 5 1 1 0 3 604 4 0 5 7 20 0 24 14 52 6 23 2 6 10 0 2 10 0 1 3 4 12 1 15 1 0 2 0 1 43 2
State
City
El Campo Electra Elgin El Paso Elsa Ennis Euless Everman Fairfield Fair Oaks Ranch Falfurrias Farmers Branch Farmersville Ferris Flatonia Florence Floresville Flower Mound Floydada Forest Hill Forney Fort Stockton Fort Worth Frankston Fredericksburg Freeport Freer Friendswood Friona Frisco Gainesville Galena Park Galveston Ganado Garland Gatesville Georgetown Giddings Gilmer Gladewater Glenn Heights Godley Gonzales Gorman Graham Granbury Grand Prairie Grand Saline Granger Granite Shoals Grapeland Grapevine Greenville Gregory Groesbeck Groves Gun Barrel City Hale Center Hallettsville Hallsville Haltom City Hamlin Harker Heights Harlingen Haskell Hawk Cove Hawkins Hawley Hearne Heath Hedwig Village Helotes Hemphill Hempstead
Population
10,799 2,854 9,951 616,029 6,758 19,520 52,899 5,739 3,612 6,082 5,042 26,455 3,481 2,414 1,423 1,133 7,463 68,191 3,214 13,771 14,020 7,350 670,693 1,276 11,004 12,588 3,022 34,140 3,698 90,674 16,710 10,177 57,590 1,848 218,236 15,450 44,834 5,517 5,191 6,355 10,739 1,011 7,534 1,248 8,689 8,040 157,913 3,296 1,359 2,794 1,400 49,498 26,130 2,261 4,368 14,610 6,168 2,176 2,532 2,984 40,114 1,954 23,726 64,984 2,683 617 1,520 592 4,751 7,263 2,317 6,826 1,070 7,188
Total law enforcement employees 37 12 25 1,446 14 40 121 16 12 14 11 104 8 13 4 3 16 107 6 35 33 29 1,792 4 33 42 10 72 10 169 52 24 209 3 444 23 94 18 22 20 24 4 23 3 23 37 322 7 4 9 3 122 68 4 8 22 21 3 7 4 93 8 52 153 4 1 5 2 16 19 22 20 3 17
Total officers
26 7 20 1,106 9 34 80 11 12 14 10 72 7 9 4 3 15 69 6 26 21 20 1,412 4 29 30 6 54 6 121 39 19 160 3 318 16 66 13 18 14 17 4 17 3 21 32 221 7 4 7 2 89 48 4 8 20 15 3 6 4 70 4 44 120 4 1 5 2 10 18 17 18 3 15
Total civilians
11 5 5 340 5 6 41 5 0 0 1 32 1 4 0 0 1 38 0 9 12 9 380 0 4 12 4 18 4 48 13 5 49 0 126 7 28 5 4 6 7 0 6 0 2 5 101 0 0 2 1 33 20 0 0 2 6 0 1 0 23 4 8 33 0 0 0 0 6 1 5 2 0 2
SECTION V: LAW ENFORCEMENT PERSONNEL 457 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Henderson Hereford Hewitt Hickory Creek Hidalgo Highland Park Highland Village Hill Country Village Hillsboro Hitchcock Holliday Hollywood Park Hondo Hooks Horizon City Horseshoe Bay Houston Howe Hubbard Hudson Hudson Oaks Humble Huntington Huntsville Hurst Hutchins Hutto Idalou Ingleside Ingram Iowa Park Irving Italy Itasca Jacinto City Jacksboro Jacksonville Jamaica Beach Jarrell Jasper Jefferson Jersey Village Johnson City Jones Creek Jonestown Joshua Jourdanton Junction Karnes City Katy Kaufman Keene Keller Kemah Kemp Kempner Kenedy Kennedale Kerens Kermit Kerrville Kilgore Killeen Kingsville Kirby Kirbyville Knox City Kountze Kress Kyle Lacy-Lakeview La Feria Lago Vista La Grange
Population
11,633 14,528 13,522 3,553 12,008 9,062 16,298 1,083 9,161 7,389 1,821 3,276 9,089 2,934 11,855 3,822 2,169,544 2,749 1,706 4,191 1,944 14,977 2,099 37,906 38,452 3,039 12,635 2,052 9,355 1,886 6,100 196,676 2,124 1,655 9,890 4,653 14,481 1,127 1,439 7,435 1,991 7,176 1,581 2,120 2,192 5,731 4,445 2,647 3,399 13,830 8,294 6,301 38,439 2,497 1,309 1,190 3,363 6,848 1,844 5,144 22,636 12,152 104,188 24,235 8,560 2,020 1,043 2,172 779 24,778 5,761 6,890 5,986 4,669
Total law enforcement employees 42 29 31 10 52 67 34 12 33 16 3 12 22 6 10 14 6,338 7 4 5 12 74 5 56 113 20 22 4 19 6 16 456 6 6 24 13 34 5 3 31 8 33 4 4 9 14 9 4 7 58 24 13 78 23 3 1 8 28 3 16 66 41 246 67 17 6 3 7 1 27 21 17 20 9
Total officers
30 23 22 10 38 53 26 12 23 12 3 11 19 6 9 13 4,892 7 4 3 12 56 5 49 70 16 17 4 12 5 11 319 5 6 19 7 24 5 2 23 7 23 4 3 8 13 9 4 6 41 18 9 49 19 3 1 7 21 3 10 50 31 198 52 13 6 3 6 1 18 13 13 14 9
Total civilians
12 6 9 0 14 14 8 0 10 4 0 1 3 0 1 1 1,446 0 0 2 0 18 0 7 43 4 5 0 7 1 5 137 1 0 5 6 10 0 1 8 1 10 0 1 1 1 0 0 1 17 6 4 29 4 0 0 1 7 0 6 16 10 48 15 4 0 0 1 0 9 8 4 6 0
State
City
Laguna Vista La Joya Lake Dallas Lake Jackson Lakeside Lakeview Lakeway Lake Worth La Marque Lamesa Lampasas Lancaster La Porte Laredo La Vernia La Villa Lavon League City Leander Leon Valley Levelland Lewisville Lexington Liberty Lindale Linden Little Elm Littlefield Live Oak Livingston Llano Lockhart Lockney Lone Star Longview Lorena Lorenzo Los Fresnos Lubbock Lufkin Luling Lumberton Lytle Madisonville Magnolia Malakoff Manor Mansfield Manvel Marble Falls Marfa Marion Marlin Marshall Mart Martindale Mathis McAllen McGregor McKinney Meadows Place Melissa Memorial Villages Memphis Mercedes Meridian Merkel Mesquite Mexia Midland Midlothian Milford Mineola Mineral Wells
Population
3,068 4,833 7,423 27,788 1,279 6,477 9,774 4,732 14,081 9,167 7,973 35,090 34,165 221,253 1,203 1,477 424 68,743 23,175 9,876 12,653 97,184 1,265 8,474 4,503 2,181 26,824 6,213 12,117 6,567 3,326 13,946 1,802 1,597 77,003 1,656 1,241 5,465 213,988 33,997 5,442 9,853 2,733 4,349 1,288 2,374 2,993 43,901 4,912 7,562 1,903 1,135 6,097 23,978 2,517 1,117 5,486 129,455 4,862 118,113 6,919 3,395 11,714 2,363 14,879 1,510 2,587 132,399 6,726 103,118 15,600 748 5,172 17,083
Total law enforcement employees 7 16 20 58 4 16 34 35 38 21 24 71 97 494 6 5 9 119 37 30 31 183 4 28 22 6 34 21 44 23 10 27 3 6 217 7 2 19 521 95 24 18 5 9 11 5 16 195 13 36 4 5 19 65 3 5 17 396 19 191 15 9 37 4 36 2 4 294 22 208 35 5 14 36
Total officers
7 12 13 43 4 12 27 27 28 14 17 56 70 416 5 5 8 89 27 22 21 136 4 17 17 5 29 13 30 16 8 20 3 5 162 6 2 13 365 73 15 15 5 8 10 5 14 77 8 24 4 3 13 49 3 5 10 263 12 149 14 8 31 3 30 2 4 222 15 161 26 5 12 28
Total civilians
0 4 7 15 0 4 7 8 10 7 7 15 27 78 1 0 1 30 10 8 10 47 0 11 5 1 5 8 14 7 2 7 0 1 55 1 0 6 156 22 9 3 0 1 1 0 2 118 5 12 0 2 6 16 0 0 7 133 7 42 1 1 6 1 6 0 0 72 7 47 9 0 2 8
458
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Mission Missouri City Monahans Mont Belvieu Montgomery Morgans Point Resort Mount Pleasant Muleshoe Munday Murphy Mustang Ridge Nacogdoches Nash Nassau Bay Navasota Nederland Needville New Boston New Braunfels New Deal Nocona Nolanville Northlake North Richland Hills Oak Ridge Oak Ridge North Odessa O'Donnell Olmos Park Olney Olton Onalaska Orange Ore City Overton Ovilla Oyster Creek Paducah Palacios Palestine Palmer Pampa Panhandle Pantego Paris Parker Pasadena Pearland Pearsall Pecos Pelican Bay Penitas Perryton Pflugerville Pharr Pilot Point Pinehurst Pineland Pittsburg Plainview Plano Pleasanton Point Comfort Ponder Port Aransas Port Arthur Port Isabel Portland Port Lavaca Port Neches Poteet Pottsboro Premont Presidio
Population
66,216 77,166 6,340 2,645 593 4,291 15,360 4,481 1,291 15,497 931 31,300 2,426 4,040 7,464 16,325 3,585 4,630 51,860 726 3,291 2,393 1,109 63,270 258 3,422 95,839 966 2,298 3,328 2,232 1,564 17,793 1,169 2,337 3,925 1,236 1,286 5,158 18,250 2,200 16,998 2,619 2,344 26,583 2,781 145,235 73,190 7,779 7,946 1,609 1,189 8,305 32,157 63,666 4,293 2,202 907 4,648 22,054 259,771 9,742 726 1,114 3,812 55,481 5,433 16,645 11,658 12,803 3,719 2,130 2,822 4,939
Total law enforcement employees 161 98 16 14 8 8 36 14 1 27 3 73 10 13 25 33 4 13 107 3 9 8 7 161 2 14 190 1 12 7 2 6 54 4 7 10 9 6 12 41 10 36 4 14 82 7 337 135 12 39 4 11 14 76 159 9 10 2 12 42 485 22 1 1 26 142 24 33 24 21 5 6 4 5
Total officers
115 74 11 9 8 7 26 8 1 19 3 58 9 12 16 21 4 9 82 2 6 8 7 114 2 14 145 1 12 3 2 6 41 4 4 9 5 1 8 32 9 24 4 11 63 7 252 105 10 17 4 4 7 58 115 9 6 2 10 34 342 17 1 1 18 111 19 22 18 18 5 6 4 4
Total civilians
46 24 5 5 0 1 10 6 0 8 0 15 1 1 9 12 0 4 25 1 3 0 0 47 0 0 45 0 0 4 0 0 13 0 3 1 4 5 4 9 1 12 0 3 19 0 85 30 2 22 0 7 7 18 44 0 4 0 2 8 143 5 0 0 8 31 5 11 6 3 0 0 0 1
State
City
Primera Princeton Progreso Prosper Queen City Quinlan Quitman Ranger Ransom Canyon Raymondville Red Oak Refugio Reno Richardson Richland Hills Richmond Richwood Riesel Rio Grande City Rising Star River Oaks Roanoke Robinson Robstown Rockdale Rockport Rockwall Roma Roman Forest Roscoe Rosebud Rose City Rosenberg Round Rock Rowlett Royse City Rusk Sabinal Sachse Saginaw Salado San Angelo San Antonio San Augustine San Diego Sanger San Juan San Marcos San Saba Sansom Park Village Santa Anna Santa Fe Santa Rosa Schertz Seabrook Seadrift Seagoville Seagraves Sealy Seguin Selma Seminole Seven Points Seymour Shallowater Shamrock Shavano Park Shenandoah Sherman Silsbee Sinton Slaton Smithville Snyder
Population
3,356 5,057 5,375 5,828 1,577 1,466 2,273 2,516 1,079 9,554 8,538 2,760 3,073 100,933 8,067 13,979 3,389 1,012 14,098 834 6,914 3,758 10,011 12,361 6,066 9,464 34,872 11,394 3,788 1,260 1,365 514 33,131 97,727 56,432 8,086 5,173 1,672 19,028 19,818 1,926 88,285 1,316,882 2,429 4,520 7,391 33,213 48,979 2,548 4,140 1,034 10,735 2,995 29,519 11,448 1,433 11,452 2,360 6,267 25,203 3,219 6,105 1,274 2,639 2,227 1,834 3,138 1,954 37,985 6,844 5,491 5,642 4,543 10,549
Total law enforcement employees 7 13 9 10 5 3 6 4 3 20 28 11 5 239 26 41 8 3 32 1 24 36 28 31 16 24 77 36 6 1 3 2 79 179 106 20 13 4 34 41 4 166 2,773 7 6 13 47 119 5 17 2 25 8 63 36 2 27 3 16 63 26 12 12 10 5 6 14 28 82 21 10 15 16 21
Total officers
6 13 9 9 5 3 6 4 3 13 21 8 4 144 18 31 7 3 23 1 18 27 20 22 10 22 62 27 6 1 3 1 58 132 77 17 11 4 23 35 4 138 2,132 6 5 13 37 87 4 12 2 18 8 43 30 2 18 3 14 48 23 11 8 7 5 2 13 25 59 16 9 9 10 19
Total civilians
1 0 0 1 0 0 0 0 0 7 7 3 1 95 8 10 1 0 9 0 6 9 8 9 6 2 15 9 0 0 0 1 21 47 29 3 2 0 11 6 0 28 641 1 1 0 10 32 1 5 0 7 0 20 6 0 9 0 2 15 3 1 4 3 0 4 1 3 23 5 1 6 6 2
SECTION V: LAW ENFORCEMENT PERSONNEL 459 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Socorro Somerset Somerville Sonora Sour Lake South Houston Southlake South Padre Island Southside Place Spearman Springtown Spring Valley Spur Stafford Stamford Stanton Stephenville Stratford Sudan Sugar Land Sullivan City Sulphur Springs Sunrise Beach Village Sunset Valley Surfside Beach Sweeny Sweetwater Taft Tahoka Tatum Taylor Teague Temple Terrell Terrell Hills Texarkana Texas City The Colony Thrall Three Rivers Tioga Tolar Tomball Tool Trinity Trophy Club Troup Troy Tulia Tye Tyler Universal City University Park Uvalde Van Van Alstyne Vernon Victoria Vidor Waco Waelder Wake Village Waller Wallis Watauga Waxahachie Weatherford Webster Weimar Wells Weslaco West West Columbia West Lake Hills
Population
31,588 1,832 1,723 3,081 1,748 16,348 26,367 2,747 1,636 2,911 2,905 3,717 996 20,460 3,175 2,229 16,219 1,878 1,020 82,402 4,466 15,396 757 798 880 3,613 10,519 3,435 2,691 1,198 15,597 4,785 55,057 19,302 5,136 36,237 45,574 42,563 874 1,707 924 684 10,176 2,495 2,762 7,836 2,101 1,344 4,664 1,114 95,596 18,238 24,300 16,594 2,632 2,948 11,161 62,404 11,158 122,514 1,018 5,528 2,034 1,298 23,931 27,500 25,500 10,070 2,031 803 32,707 2,693 4,216 3,044
Total law enforcement employees 37 3 4 6 6 32 53 34 11 2 15 22 2 57 8 5 47 4 1 165 11 40 1 11 7 7 26 4 4 3 36 10 152 49 13 101 104 72 3 7 3 1 50 11 10 15 8 4 13 4 227 36 61 49 7 14 25 128 31 313 3 7 8 3 48 63 80 65 7 1 96 6 14 19
Total officers
27 3 4 4 6 24 48 25 7 2 11 17 2 42 6 5 33 3 1 119 8 29 1 11 6 7 21 4 4 3 25 8 125 35 13 90 84 49 3 6 3 1 37 7 6 14 7 4 7 4 179 28 40 36 6 9 18 97 23 236 3 6 7 3 33 49 57 48 6 1 66 6 8 13
Total civilians
10 0 0 2 0 8 5 9 4 0 4 5 0 15 2 0 14 1 0 46 3 11 0 0 1 0 5 0 0 0 11 2 27 14 0 11 20 23 0 1 0 0 13 4 4 1 1 0 6 0 48 8 21 13 1 5 7 31 8 77 0 1 1 0 15 14 23 17 1 0 30 0 6 6
State
UTAH .........................
City
West Orange Westover Hills West Tawakoni West University Place Westworth Wharton Whitehouse White Oak Whitesboro White Settlement Whitney Wichita Falls Willis Willow Park Wills Point Wilmer Windcrest Wink Winnsboro Winters Wolfforth Woodville Woodway Wortham Wylie Yoakum Yorktown Alpine/Highland Alta American Fork/ Cedar Hills Blanding Bountiful Brian Head Brigham City Cedar City Centerville Clearfield Clinton Draper East Carbon Ephraim Fairview Farmington Garland Grantsville Gunnison Harrisville Heber Helper Hildale Hurricane Ivins Kamas Kanab Kaysville La Verkin Layton Lehi Logan Mantua Mapleton Midvale Minersville Moab Monticello Moroni Mount Pleasant Murray Naples Nephi North Ogden North Park North Salt Lake Ogden
Population
Total law enforcement employees
Total officers
Total civilians
3,935 689 1,773 15,249 3,079 9,355 7,556 6,350 4,054 16,106 2,101 98,717 4,298 4,057 3,940 3,616 5,156 878 3,901 2,630 3,281 2,281 8,693 1,076 36,386 5,659 2,222 24,586 364
10 14 7 28 20 32 23 18 12 44 13 261 16 14 11 18 21 1 13 5 10 10 33 3 45 13 4 21 8
9 11 7 20 15 24 16 14 7 32 7 182 14 10 9 12 14 1 9 5 9 9 24 3 40 6 4 19 4
1 3 0 8 5 8 7 4 5 12 6 79 2 4 2 6 7 0 4 0 1 1 9 0 5 7 0 2 4
35,945 3,161 41,132 117 18,609 26,479 15,140 27,419 19,882 38,875 1,266 5,163 1,161 16,078 2,001 8,329 2,768 5,514 10,155 1,869 1,958 12,749 7,663 1,520 3,781 24,050 4,260 63,284 39,483 48,403 766 7,363 27,275 852 4,886 1,918 1,272 2,698 44,748 1,533 5,276 17,050 10,615 12,070 78,160
38 6 50 5 29 41 20 40 17 41 3 5 1 16 4 11 2 9 16 6 11 22 12 2 9 22 6 107 37 92 1 8 54 1 19 5 1 5 95 8 11 19 10 16 158
33 5 36 5 23 34 17 27 16 34 3 5 1 13 4 9 2 8 14 6 6 17 8 2 7 20 5 81 34 62 1 7 45 1 14 4 1 5 75 7 9 16 9 14 130
5 1 14 0 6 7 3 13 1 7 0 0 0 3 0 2 0 1 2 0 5 5 4 0 2 2 1 26 3 30 0 1 9 0 5 1 0 0 20 1 2 3 1 2 28
460
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
VERMONT................
City
Orem Park City Parowan Payson Perry Pleasant Grove/Lindon Pleasant View Price Provo Richfield Riverdale Roosevelt Roy Salem Salina Salt Lake City Sandy Santaquin/Genola Saratoga Springs Smithfield South Jordan South Ogden South Salt Lake Spanish Fork Springville St. George Stockton Sunset Syracuse Taylorsville City Tooele Tremonton Vernal Washington Wellington Wendover West Bountiful West Jordan West Valley Willard Woods Cross Barre Barre Town Bellows Falls Bennington Berlin Brandon Brattleboro Bristol Burlington Castleton Chester Colchester Dover Essex Fair Haven Hardwick Hartford Hinesburg Ludlow Manchester Middlebury Milton Montpelier Morristown Newport Northfield Norwich Randolph Richmond Rutland South Burlington Springfield St. Albans
Population
91,816 8,132 2,545 17,378 3,579 41,890 6,607 7,954 115,264 7,139 8,023 4,740 35,366 5,790 2,399 178,449 94,975 8,367 12,315 7,484 46,571 15,473 21,262 28,950 26,883 70,579 593 4,870 21,544 57,944 30,019 6,383 8,231 16,607 1,558 1,643 5,287 96,681 121,447 1,681 8,440 9,050 8,146 2,957 15,297 2,875 3,926 11,706 3,814 38,153 4,384 3,092 17,201 1,448 19,350 2,963 3,271 10,892 4,552 2,736 4,366 8,194 10,469 7,944 5,606 5,329 5,813 3,551 5,124 4,128 19,626 17,333 8,752 7,374
Total law enforcement employees 122 38 4 18 9 37 9 20 142 15 22 12 43 10 6 575 141 10 18 9 56 30 74 31 34 140 1 9 22 61 37 13 26 18 4 3 11 128 212 2 13 25 8 12 33 8 7 33 4 129 3 5 34 4 33 3 8 26 4 9 12 16 14 23 11 12 8 6 5 4 49 46 20 22
Total officers
88 29 3 16 8 29 8 17 94 13 18 11 38 9 5 425 117 10 15 8 49 25 57 28 25 101 1 8 19 56 32 10 21 16 4 3 10 96 169 2 11 18 7 6 26 7 6 22 4 97 3 4 27 3 27 3 7 19 4 5 8 14 13 15 11 10 7 5 5 4 40 38 15 14
Total civilians
34 9 1 2 1 8 1 3 48 2 4 1 5 1 1 150 24 0 3 1 7 5 17 3 9 39 0 1 3 5 5 3 5 2 0 0 1 32 43 0 2 7 1 6 7 1 1 11 0 32 0 1 7 1 6 0 1 7 0 4 4 2 1 8 0 2 1 1 0 0 9 8 5 8
State
VIRGINIA .................
City
St. Johnsbury Stowe Swanton Thetford Vergennes Vernon Waterbury Weathersfield Williston Windsor Winhall Winooski Woodstock Abingdon Alexandria Altavista Amherst Appalachia Ashland Bedford Berryville Big Stone Gap Blacksburg Blackstone Bluefield Boykins Bridgewater Bristol Broadway Brookneal Buena Vista Burkeville Cape Charles Cedar Bluff Charlottesville Chase City Chatham Chesapeake Chilhowie Chincoteague Christiansburg Clarksville Clifton Forge Clinchco Clintwood Coeburn Colonial Beach Colonial Heights Courtland Covington Crewe Culpeper Damascus Danville Dayton Dublin Dumfries Edinburg Elkton Emporia Exmore Fairfax City Falls Church Farmville Franklin Fredericksburg Fries Front Royal Galax Gate City Glade Spring Glasgow Glen Lyn Gordonsville
Population
7,553 4,822 6,508 2,836 2,747 2,072 5,290 2,868 8,363 3,687 786 6,284 3,174 7,953 137,812 3,379 2,221 1,751 7,111 6,216 3,216 5,689 39,250 3,526 5,213 611 5,431 17,484 3,016 1,252 6,456 470 1,530 1,064 40,265 2,343 1,278 223,093 1,771 4,379 17,983 1,269 4,008 408 1,513 1,996 3,733 17,747 1,259 6,027 2,266 13,574 1,086 45,114 1,347 2,206 4,795 877 2,597 5,607 1,381 22,484 10,831 6,908 8,856 21,521 557 14,700 6,643 2,081 1,544 1,011 167 1,684
Total law enforcement employees 17 14 5 2 5 3 4 1 16 7 7 25 6 25 440 11 5 6 25 31 8 20 74 17 21 1 9 75 4 3 16 1 5 3 136 11 4 512 6 14 65 9 15 1 4 8 17 49 3 25 5 50 5 137 9 10 15 2 7 36 7 79 43 28 36 97 1 48 40 6 2 1 1 6
Total officers
11 13 4 2 5 3 4 1 14 5 6 17 5 23 319 11 5 6 21 27 7 18 59 12 16 1 9 53 4 3 14 1 5 3 109 9 4 370 6 10 49 8 10 1 4 7 12 45 1 14 5 41 5 129 8 9 13 2 6 26 7 57 33 27 24 70 1 37 24 6 2 1 1 6
Total civilians
6 1 1 0 0 0 0 0 2 2 1 8 1 2 121 0 0 0 4 4 1 2 15 5 5 0 0 22 0 0 2 0 0 0 27 2 0 142 0 4 16 1 5 0 0 1 5 4 2 11 0 9 0 8 1 1 2 0 1 10 0 22 10 1 12 27 0 11 16 0 0 0 0 0
SECTION V: LAW ENFORCEMENT PERSONNEL 461 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Gretna Grottoes Grundy Halifax Hampton Harrisonburg Haymarket Haysi Herndon Hillsville Honaker Hopewell Hurt Independence Jonesville Kenbridge Kilmarnock La Crosse Lawrenceville Lebanon Leesburg Lexington Louisa Luray Lynchburg Manassas Manassas Park Marion Martinsville McKenney Middleburg Middletown Mount Jackson Narrows New Market Newport News Norfolk Norton Occoquan Onancock Onley Orange Parksley Pearisburg Pembroke Pennington Gap Petersburg Pocahontas Poquoson Portsmouth Pound Pulaski Purcellville Quantico Radford Rich Creek Richlands Richmond Roanoke Rocky Mount Rural Retreat Salem Saltville Shenandoah Smithfield South Boston South Hill Stanley Staunton Stephens City St. Paul Strasburg Suffolk Tappahannock
Population
1,204 2,178 975 1,272 144,490 40,869 1,290 179 21,892 2,691 909 22,741 1,226 901 981 1,315 1,195 595 1,139 3,185 38,931 6,711 1,557 4,879 67,932 36,735 11,816 6,100 14,856 483 954 1,137 1,799 2,189 1,863 177,550 227,903 3,602 817 1,437 490 4,597 822 2,805 1,190 1,753 32,210 428 11,939 101,284 1,082 9,006 5,048 634 14,317 692 4,083 191,785 90,894 4,568 1,357 24,774 2,256 1,873 7,098 8,007 4,618 1,336 23,210 1,463 971 4,348 83,631 2,158
Total law enforcement employees 4 5 6 5 400 95 6 2 72 12 5 69 2 2 4 8 6 4 5 12 83 19 5 14 217 120 41 18 57 1 4 2 4 4 5 541 837 24 2 3 5 18 3 8 2 6 137 1 25 338 4 33 14 3 44 2 25 930 305 18 1 91 7 5 26 29 22 3 69 3 4 22 235 12
Total officers
4 5 6 5 281 80 5 2 56 11 3 53 2 2 4 8 6 4 5 11 65 17 5 11 150 93 32 16 50 1 4 2 4 4 5 394 714 18 2 3 5 15 3 7 2 6 105 1 21 245 4 24 13 2 33 1 19 702 251 16 1 64 6 5 22 27 20 3 53 3 4 20 174 11
Total civilians
0 0 0 0 119 15 1 0 16 1 2 16 0 0 0 0 0 0 0 1 18 2 0 3 67 27 9 2 7 0 0 0 0 0 0 147 123 6 0 0 0 3 0 1 0 0 32 0 4 93 0 9 1 1 11 1 6 228 54 2 0 27 1 0 4 2 2 0 16 0 0 2 61 1
State
WASHINGTON ........
City
Tazewell Timberville Victoria Vienna Vinton Virginia Beach Warrenton Warsaw Waverly Waynesboro Weber City West Point Williamsburg Winchester Wise Woodstock Wytheville Aberdeen Airway Heights Algona Anacortes Arlington Asotin Auburn Bainbridge Island Battle Ground Bellevue Bellingham Black Diamond Blaine Bonney Lake Bothell Bremerton Brewster Brier Buckley Burien Burlington Camas Castle Rock Centralia Chehalis Cheney Chewelah Clarkston Cle Elum Clyde Hill Colfax College Place Colton Colville Connell Cosmopolis Coulee City Coulee Dam Coupeville Covington Des Moines Dupont Duvall East Wenatchee Eatonville Edgewood Edmonds Ellensburg Elma Enumclaw Ephrata Everett Everson Federal Way Ferndale Fife Fircrest
Population
4,369 1,705 1,783 14,923 7,924 435,943 9,064 1,364 2,194 21,681 1,349 3,133 11,740 25,443 3,256 4,303 8,184 16,382 4,794 2,726 16,948 16,736 1,130 49,710 22,442 14,149 118,984 76,290 3,948 4,622 15,737 31,521 35,068 2,124 6,382 5,514 31,035 8,921 18,256 2,147 15,708 7,249 10,597 2,334 7,231 3,330 2,997 2,675 9,148 358 5,055 2,987 1,692 648 1,083 1,857 18,072 28,907 6,831 6,064 9,013 2,455 9,860 40,218 17,033 3,177 10,966 7,361 98,845 2,031 84,026 10,559 6,746 6,318
Total law enforcement employees 13 3 6 50 35 962 22 3 12 56 4 9 53 82 14 17 40 49 14 8 33 34 3 119 25 31 250 161 13 16 33 81 81 8 9 9 33 29 32 6 38 23 20 6 14 9 10 6 13 1 13 7 6 1 7 4 11 49 11 18 23 6 8 64 31 8 28 17 240 6 159 21 49 11
Total officers
11 3 5 41 25 800 19 3 7 48 4 8 37 68 13 16 28 37 13 6 25 28 3 88 21 25 171 111 12 13 28 55 66 6 7 9 32 24 26 5 31 18 14 5 13 7 9 6 10 1 11 7 5 1 7 4 11 36 10 16 20 5 8 54 23 7 16 14 196 6 128 18 28 10
Total civilians
2 0 1 9 10 162 3 0 5 8 0 1 16 14 1 1 12 12 1 2 8 6 0 31 4 6 79 50 1 3 5 26 15 2 2 0 1 5 6 1 7 5 6 1 1 2 1 0 3 0 2 0 1 0 0 0 0 13 1 2 3 1 0 10 8 1 12 3 44 0 31 3 21 1
462
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Forks Garfield Gig Harbor Goldendale Grand Coulee Grandview Granger Granite Falls Hoquiam Issaquah Kalama Kelso Kenmore Kennewick Kent Kettle Falls Kirkland Kittitas La Center Lacey Lake Forest Park Lake Stevens Lakewood Langley Liberty Lake Long Beach Longview Lynden Lynnwood Mabton Malden Maple Valley Marysville Mattawa McCleary Medical Lake Medina Mercer Island Mill Creek Milton Monroe Montesano Morton Moses Lake Mossyrock Mountlake Terrace Mount Vernon Moxee Mukilteo Napavine Newcastle Normandy Park North Bend North Bonneville Oakesdale Oak Harbor Ocean Shores Odessa Olympia Omak Oroville Orting Othello Pacific Palouse Pasco Pe Ell Port Angeles Port Orchard Port Townsend Poulsbo Prosser Pullman Puyallup
Population
3,249 604 6,691 3,758 1,950 9,222 2,892 2,972 9,058 19,193 2,077 12,156 20,167 63,147 83,929 1,621 46,686 1,194 1,944 36,037 12,506 8,238 57,465 1,035 6,399 1,400 37,068 11,159 33,663 2,071 191 16,798 32,623 3,302 1,589 4,493 3,561 23,671 15,843 6,836 16,505 3,556 1,102 17,561 512 20,193 30,521 2,044 20,642 1,499 9,867 6,207 4,605 775 379 23,168 4,785 931 44,946 4,745 1,588 5,727 6,357 5,910 905 52,761 690 19,064 8,026 9,248 7,919 5,150 25,408 37,078
Total law enforcement employees 14 1 19 10 7 24 9 7 20 54 5 32 12 106 176 5 105 3 10 60 26 27 131 4 9 7 64 18 103 4 1 10 76 2 4 8 10 34 26 12 48 10 4 38 1 42 52 4 29 4 7 15 1 1 1 40 16 2 97 13 6 9 22 12 2 75 1 56 21 20 20 19 39 74
Total officers
7 1 16 9 7 18 7 6 18 32 5 28 12 87 126 4 66 3 9 48 21 22 105 4 9 6 53 14 71 4 1 10 49 2 4 7 8 30 22 11 35 8 3 30 1 31 42 4 25 3 7 13 1 1 1 27 14 2 69 11 5 9 16 9 2 64 1 32 19 16 17 11 28 52
Total civilians
7 0 3 1 0 6 2 1 2 22 0 4 0 19 50 1 39 0 1 12 5 5 26 0 0 1 11 4 32 0 0 0 27 0 0 1 2 4 4 1 13 2 1 8 0 11 10 0 4 1 0 2 0 0 0 13 2 0 28 2 1 0 6 3 0 11 0 24 2 4 3 8 11 22
State
WEST VIRGINIA.....
City
Quincy Raymond Reardan Redmond Renton Republic Richland Ridgefield Ritzville Rosalia Roy Royal City Ruston Sammamish Sea Tac Seattle Sedro Woolley Selah Sequim Shelton Shoreline Snohomish Snoqualmie Soap Lake South Bend Spokane Spokane Valley Springdale Stanwood Steilacoom Sultan Sumas Sumner Sunnyside Tacoma Tenino Tieton Toledo Tonasket Toppenish Tukwila Tumwater Twisp Union Gap University Place Vader Vancouver Walla Walla Wapato Warden Washougal Wenatchee Westport West Richland White Salmon Wilbur Winlock Winthrop Woodinville Woodland Yakima Yelm Zillah Alderson Anawalt Anmoore Athens Barboursville Barrackville Beckley Belington Belle Benwood Berkeley Springs
Population
5,659 2,976 610 49,195 59,656 985 45,555 4,023 1,714 571 834 1,990 882 35,327 25,320 585,118 10,643 7,037 5,898 9,352 52,189 8,838 8,403 1,884 1,840 198,272 83,928 288 5,685 6,159 4,215 1,157 9,601 14,931 196,909 2,251 1,185 686 960 9,213 17,103 13,695 913 5,702 30,699 622 161,092 31,002 4,609 2,645 11,769 30,179 2,554 10,477 2,373 891 1,233 374 10,143 4,691 82,951 5,359 2,679 1,081 240 786 1,177 3,276 1,294 16,774 1,831 1,166 1,463 698
Total law enforcement employees 13 7 1 113 140 3 64 7 4 1 4 3 4 22 41 1,775 20 15 24 34 50 25 14 4 4 391 102 1 13 12 6 6 38 44 413 6 2 2 5 19 81 30 3 22 25 1 235 73 21 5 22 52 9 17 5 2 2 3 10 12 174 16 8 1 1 2 1 19 1 57 2 4 5 3
Total officers
11 6 1 77 98 3 54 6 4 1 4 3 4 22 38 1,273 15 13 21 20 48 21 11 4 3 282 101 1 11 11 6 6 18 25 361 5 2 2 4 12 67 25 2 18 24 1 202 44 12 4 20 41 7 14 5 2 2 3 10 10 129 14 7 1 1 2 1 17 1 39 2 4 5 3
Total civilians
2 1 0 36 42 0 10 1 0 0 0 0 0 0 3 502 5 2 3 14 2 4 3 0 1 109 1 0 2 1 0 0 20 19 52 1 0 0 1 7 14 5 1 4 1 0 33 29 9 1 2 11 2 3 0 0 0 0 0 2 45 2 1 0 0 0 0 2 0 18 0 0 0 0
SECTION V: LAW ENFORCEMENT PERSONNEL 463 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Bethlehem Bluefield Bradshaw Bramwell Bridgeport Buckhannon Burnsville Cameron Capon Bridge Cedar Grove Ceredo Chapmanville Charleston Charles Town Chesapeake Chester Clarksburg Clendenin Danville Delbarton Dunbar East Bank Elkins Fairmont Farmington Fayetteville Follansbee Fort Gay Gary Gassaway Gauley Bridge Gilbert Glasgow Glen Dale Glenville Grafton Grantsville Grant Town Granville Hamlin Harpers Ferry/Bolivar Harrisville Hartford City Henderson Hinton Huntington Hurricane Iaeger Kenova Kermit Keyser Keystone Kimball Kingwood Lewisburg Logan Lumberport Mabscott Madison Man Mannington Marlinton Marmet Martinsburg Mason Masontown Matewan Matoaka McMechen Milton Monongah Montgomery Moorefield Morgantown
Population
2,506 11,000 256 407 7,806 5,551 470 1,110 250 809 1,607 1,132 50,510 4,013 1,550 2,371 16,420 1,044 538 437 7,612 886 7,050 19,127 388 2,641 2,893 809 771 879 694 396 739 1,443 1,470 5,372 542 640 780 1,093 1,413 1,880 515 311 2,622 48,669 6,179 303 3,325 225 5,331 381 349 2,957 3,554 1,525 975 1,344 2,610 705 2,080 1,241 1,610 16,610 1,044 656 497 302 1,780 2,377 911 1,925 2,432 28,951
Total law enforcement employees 5 31 3 1 23 9 1 1 2 2 9 6 208 20 2 5 45 3 3 3 16 3 11 40 1 12 7 2 1 1 5 5 2 8 4 8 1 1 11 2 4 1 1 1 9 94 16 1 11 2 17 1 3 5 13 11 2 5 6 4 4 1 5 54 4 1 1 2 2 6 1 7 6 69
Total officers
4 22 3 1 21 8 1 1 2 2 6 6 180 17 2 5 38 3 3 3 13 3 8 34 1 10 7 2 1 1 4 4 2 5 3 7 1 1 10 1 3 1 1 1 8 88 14 1 7 2 12 1 3 5 11 8 2 4 5 4 4 1 5 44 4 1 1 2 2 5 1 6 6 59
Total civilians
1 9 0 0 2 1 0 0 0 0 3 0 28 3 0 0 7 0 0 0 3 0 3 6 0 2 0 0 0 0 1 1 0 3 1 1 0 0 1 1 1 0 0 0 1 6 2 0 4 0 5 0 0 0 2 3 0 1 1 0 0 0 0 10 0 0 0 0 0 1 0 1 0 10
State
WISCONSIN..............
City
Moundsville Mount Hope Mullens New Cumberland New Haven New Martinsville Nitro Northfork Nutter Fort Oak Hill Oceana Paden City Parkersburg Paw Paw Pennsboro Petersburg Peterstown Philippi Piedmont Pineville Point Pleasant Pratt Princeton Rainelle Ranson Ravenswood Reedsville Richwood Ridgeley Ripley Rivesville Romney Ronceverte Rowlesburg Salem Shepherdstown Shinnston Sistersville Smithers Sophia South Charleston Spencer St. Albans Star City St. Marys Stonewood Summersville Sutton Sylvester Terra Alta Vienna Wardensville Wayne Webster Springs Weirton Welch Wellsburg West Logan Weston Westover West Union Wheeling White Sulphur Springs Whitesville Williamson Williamstown Winfield Albany Algoma Altoona Amery Antigo Appleton Arcadia
Population
9,385 1,386 1,612 1,021 1,523 5,604 6,723 437 1,640 7,230 1,445 2,659 31,562 503 1,199 2,734 493 2,821 925 664 4,459 529 6,178 1,489 4,067 3,992 534 2,340 690 3,272 915 1,975 1,523 622 2,046 1,168 2,238 1,479 849 1,242 12,468 2,242 10,999 1,404 1,913 1,861 3,366 987 567 1,517 10,667 246 1,141 769 19,095 2,283 2,648 394 4,215 3,922 806 29,057 2,323 510 3,128 2,975 2,060 1,119 3,228 6,377 2,846 8,225 70,169 2,329
Total law enforcement employees 20 5 3 2 1 15 17 3 5 15 5 4 70 1 3 1 1 6 1 3 11 2 24 1 16 11 1 5 3 10 1 4 6 1 3 6 6 3 5 4 28 7 25 6 4 1 17 2 2 1 21 2 2 2 38 8 7 1 8 9 1 82 8 2 9 5 4 3 6 12 8 19 136 5
Total officers
16 4 3 2 1 11 16 3 5 13 5 3 60 1 1 1 1 6 1 3 10 2 20 1 15 10 1 5 3 9 1 3 5 1 3 4 6 3 4 4 25 7 21 5 4 1 15 1 2 1 17 1 1 2 34 7 6 1 7 9 1 80 7 1 8 4 4 3 6 11 7 16 109 5
Total civilians
4 1 0 0 0 4 1 0 0 2 0 1 10 0 2 0 0 0 0 0 1 0 4 0 1 1 0 0 0 1 0 1 1 0 0 2 0 0 1 0 3 0 4 1 0 0 2 1 0 0 4 1 1 0 4 1 1 0 1 0 0 2 1 1 1 1 0 0 0 1 1 3 27 0
464
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Ashland Ashwaubenon Bangor Baraboo Barron Bayfield Bayside Beaver Dam Belleville Beloit Beloit Town Berlin Black River Falls Blair Bloomer Bloomfield Boscobel Brillion Brodhead Brookfield Brookfield Township Brown Deer Burlington Burlington Town Butler Caledonia Campbellsport Campbell Township Cedarburg Chenequa Chetek Chilton Chippewa Falls Cleveland Clinton Clintonville Colby-Abbotsford Columbus Combined Locks Cornell Cottage Grove Crandon Cross Plains Cuba City Cudahy Cumberland Darien Darlington Deerfield DeForest Delafield Delavan Delavan Town Denmark De Pere Dodgeville Durand Eagle River Eagle Village East Troy Eau Claire Edgar Edgerton Eleva Elkhart Lake Elkhorn Elk Mound Ellsworth Elm Grove Elroy Evansville Everest Fennimore Fitchburg
Population
8,147 17,033 1,343 11,015 3,145 579 4,216 15,551 2,246 36,424 7,475 5,197 3,456 1,276 3,378 5,990 3,185 2,857 3,089 39,738 6,243 11,507 10,599 6,552 1,806 25,682 1,929 4,437 11,216 590 2,177 3,635 13,158 1,401 2,261 4,435 3,649 5,068 3,121 1,424 5,530 1,880 3,541 2,052 17,998 2,299 1,609 2,328 2,290 8,845 6,975 8,450 4,906 2,124 22,781 4,577 1,867 1,579 1,838 4,276 63,472 1,490 5,230 656 1,153 9,354 805 3,112 6,064 1,487 5,023 15,771 2,255 22,793
Total law enforcement employees 21 61 3 31 7 3 21 34 5 99 15 13 8 3 12 8 6 8 12 82 13 34 27 10 9 44 3 5 29 7 6 6 30 3 6 15 7 15 5 3 13 4 6 5 39 5 7 5 4 19 16 23 9 2 36 11 4 6 2 9 129 1 11 1 3 19 1 6 25 3 10 28 5 53
Total officers
19 48 3 27 7 3 14 29 5 76 13 12 7 3 7 7 6 7 8 64 12 29 21 9 8 34 2 5 20 6 5 6 24 2 6 11 6 10 5 3 12 3 5 4 27 5 6 5 4 16 15 17 9 2 31 10 4 6 2 7 99 1 10 1 3 16 1 6 17 3 9 25 5 41
Total civilians
2 13 0 4 0 0 7 5 0 23 2 1 1 0 5 1 0 1 4 18 1 5 6 1 1 10 1 0 9 1 1 0 6 1 0 4 1 5 0 0 1 1 1 1 12 0 1 0 0 3 1 6 0 0 5 1 0 0 0 2 30 0 1 0 0 3 0 0 8 0 1 3 0 12
State
City
Fond du Lac Fontana Fort Atkinson Fox Lake Fox Point Fox Valley Franklin Frederic Geneva Town Genoa City Germantown Glendale Grafton Grand Chute Grand Rapids Grantsburg Green Bay Greendale Greenfield Green Lake Hales Corners Hartford Hartland Hayward Hazel Green Hillsboro Hobart-Lawrence Holmen Horicon Hortonville Hudson Hurley Independence Iron Ridge Jackson Janesville Jefferson Juneau Kaukauna Kenosha Kewaskum Kewaunee Kiel Kohler La Crosse Ladysmith Lake Delton Lake Geneva Lake Hallie Lake Mills Lancaster Lodi Luxemburg Madison Manitowoc Maple Bluff Marathon City Marinette Marion Markesan Marshall Village Marshfield Mauston Mayville McFarland Medford Menasha Menomonee Falls Menomonie Mequon Merrill Middleton Milton Milwaukee
Population
42,349 1,890 12,023 1,486 6,663 17,525 34,449 1,220 4,726 2,911 19,491 12,736 11,712 20,793 7,741 1,445 100,010 13,708 35,435 1,158 7,538 13,611 8,793 2,330 1,134 1,283 9,725 7,512 3,640 2,774 12,408 1,623 1,243 990 6,248 63,383 7,773 2,654 15,405 96,996 4,070 2,877 3,518 1,992 50,032 3,594 2,973 8,209 5,959 5,483 3,869 2,947 2,286 225,370 33,541 1,286 1,562 10,906 1,232 1,332 3,604 19,175 4,329 5,430 7,663 4,108 16,756 34,612 15,367 23,736 9,860 16,710 5,800 572,938
Total law enforcement employees 69 7 27 4 18 29 76 2 8 5 42 50 27 32 6 3 225 37 79 4 20 29 18 8 2 3 4 9 10 6 22 6 2 1 12 115 17 5 27 196 9 6 8 8 115 11 17 29 6 11 8 6 2 501 75 5 9 28 3 4 9 46 8 12 15 9 36 81 33 46 24 40 10 2,649
Total officers
64 6 20 3 17 26 59 2 6 4 31 46 20 28 4 3 180 29 57 4 16 25 16 7 2 3 3 8 8 5 19 6 2 1 11 104 14 4 25 185 8 6 7 7 94 10 16 21 5 11 8 5 2 410 65 5 8 23 3 3 8 38 8 10 13 8 30 58 27 37 21 31 8 1,936
Total civilians
5 1 7 1 1 3 17 0 2 1 11 4 7 4 2 0 45 8 22 0 4 4 2 1 0 0 1 1 2 1 3 0 0 0 1 11 3 1 2 11 1 0 1 1 21 1 1 8 1 0 0 1 0 91 10 0 1 5 0 1 1 8 0 2 2 1 6 23 6 9 3 9 2 713
SECTION V: LAW ENFORCEMENT PERSONNEL 465 Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Mineral Point Minocqua Mishicot Mondovi Monona Monroe Mosinee Mount Horeb Mount Pleasant Mukwonago Muskego Neenah Neillsville New Berlin New Glarus New Holstein New Lisbon New London New Richmond Niagara North Fond du Lac North Hudson Oak Creek Oconomowoc Oconomowoc Town Oconto Oconto Falls Omro Onalaska Oregon Osceola Oshkosh Osseo Palmyra Park Falls Pepin Peshtigo Pewaukee Pewaukee Village Phillips Platteville Pleasant Prairie Plover Plymouth Portage Port Washington Poynette Prairie du Chien Prescott Princeton Pulaski Racine Readstown Reedsburg Rhinelander Rice Lake Richland Center Ripon River Falls River Hills Rome Town Rothschild Sauk Prairie Saukville Seymour Shawano Sheboygan Sheboygan Falls Shorewood Shorewood Hills Silver Lake Siren Slinger Somerset
Population
2,562 5,026 1,397 2,638 7,924 10,563 4,078 6,674 26,237 6,890 22,961 24,871 2,615 39,350 2,064 3,166 2,592 7,008 8,200 1,766 4,959 3,800 32,896 14,414 8,196 4,713 2,854 3,316 16,377 9,006 2,719 64,183 1,637 1,751 2,425 929 3,276 12,939 9,125 1,530 9,711 19,426 11,495 8,333 9,789 11,115 2,579 5,708 4,058 1,448 3,528 79,285 384 8,629 7,786 8,422 5,145 7,286 13,803 1,614 3,015 5,232 4,225 4,334 3,411 8,790 48,291 7,795 13,185 1,629 2,530 842 4,476 2,365
Total law enforcement employees 6 12 1 4 25 35 8 19 52 21 46 48 7 92 5 8 5 18 17 4 14 6 80 28 14 8 5 7 29 17 7 110 4 3 8 1 7 29 19 5 26 28 21 16 30 24 6 18 9 3 6 256 1 27 19 21 13 20 24 12 8 12 14 13 6 20 119 15 30 7 5 3 9 7
Total officers
6 8 1 4 19 26 7 17 40 14 36 37 6 73 5 7 4 16 16 4 12 5 58 22 12 8 5 6 26 15 6 92 4 3 7 1 6 26 17 5 20 26 18 16 22 19 5 15 8 3 6 196 1 18 16 20 11 14 22 12 7 10 12 11 5 18 81 13 25 6 4 3 8 6
Total civilians
0 4 0 0 6 9 1 2 12 7 10 11 1 19 0 1 1 2 1 0 2 1 22 6 2 0 0 1 3 2 1 18 0 0 1 0 1 3 2 0 6 2 3 0 8 5 1 3 1 0 0 60 0 9 3 1 2 6 2 0 1 2 2 2 1 2 38 2 5 1 1 0 1 1
State
WYOMING ................
City
South Milwaukee Sparta Spencer Spooner Spring Green Stanley St. Croix Falls Stevens Point St. Francis Stoughton Strum Sturgeon Bay Sturtevant Summit Sun Prairie Superior Theresa Thiensville Three Lakes Tomah Tomahawk Town of East Troy Town of Madison Town of Menasha Trempealeau Twin Lakes Two Rivers Valders Verona Viroqua Walworth Washburn Waterloo Watertown Waukesha Waunakee Waupaca Waupun Wausau Wautoma Wauwatosa West Allis West Bend Westby West Milwaukee West Salem Whitefish Bay Whitehall Whitewater Williams Bay Winneconne Wisconsin Dells Wisconsin Rapids Woodruff Afton Baggs Basin Buffalo Casper Cheyenne Cody Cokeville Diamondville Douglas Evanston Evansville Gillette Glenrock Green River Greybull Guernsey Hanna Hulett Jackson
Population
20,641 9,070 1,846 2,577 1,439 3,676 2,192 24,333 8,899 12,572 1,038 9,129 6,626 5,155 27,366 26,896 1,326 3,258 2,266 8,764 3,708 3,936 5,828 17,192 1,532 5,580 11,916 987 10,525 4,378 2,669 2,125 3,252 23,334 68,162 10,894 5,833 10,668 38,405 2,088 44,463 58,366 30,070 2,166 3,977 4,725 13,450 1,620 14,147 2,687 2,490 2,538 17,633 2,036 1,817 370 1,242 4,566 52,434 55,604 9,266 480 678 5,691 11,585 2,321 24,438 2,393 11,957 1,754 1,118 855 447 9,292
Total law enforcement employees 39 19 3 7 4 4 5 58 26 25 2 22 9 8 68 63 2 8 4 21 8 6 18 33 2 18 30 1 17 10 7 5 8 53 147 18 15 20 76 6 120 156 74 3 20 7 29 4 33 7 6 17 43 6 5 2 4 21 102 127 23 2 4 23 35 11 74 12 40 6 2 5 1 35
Total officers
33 17 3 6 3 4 5 45 21 19 2 21 8 8 45 57 2 7 4 19 7 6 16 26 2 12 27 1 15 8 6 5 7 39 111 16 14 18 69 5 91 133 55 3 17 6 24 4 23 6 5 12 38 5 5 2 4 12 86 103 20 2 3 16 29 9 46 7 30 5 2 2 1 23
Total civilians
6 2 0 1 1 0 0 13 5 6 0 1 1 0 23 6 0 1 0 2 1 0 2 7 0 6 3 0 2 2 1 0 1 14 36 2 1 2 7 1 29 23 19 0 3 1 5 0 10 1 1 5 5 1 0 0 0 9 16 24 3 0 1 7 6 2 28 5 10 1 0 3 0 12
466
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 78. Full-Time Law Enforcement Employees by State by City, 2007 (Contd.) (Number.)
State
City
Kemmerer La Barge Lander Laramie Lovell Lusk Mills Moorcroft Newcastle Pine Bluffs Powell
Population
2,508 441 7,066 25,504 2,279 1,316 2,926 861 3,275 1,142 5,388
Total law enforcement employees 9 2 21 79 9 4 13 5 14 6 24
Total officers
8 1 20 49 6 4 11 4 7 2 17
Total civilians
1 1 1 30 3 0 2 1 7 4 7
State
City
Rawlins Riverton Rock Springs Saratoga Sheridan Sundance Thermopolis Torrington Wheatland Worland
Population
8,572 9,795 19,432 1,721 16,507 1,199 2,912 5,446 3,426 4,857
Total law enforcement employees 36 40 64 10 50 4 14 21 9 10
Total officers
23 27 44 5 28 4 8 15 8 10
Total civilians
13 13 20 5 22 0 6 6 1 0
SECTION V: LAW ENFORCEMENT PERSONNEL 467 Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Number.) State
ALABAMA .................................
ALASKA...................................... ARIZONA ...................................
ARKANSAS................................
University/College
Alabama A&M University Alabama State University Auburn University Calhoun Community College2 George C. Wallace State Community College Jacksonville State University Talladega College Troy University University of Alabama:
University of Montevallo University of North Alabama University of South Alabama University of West Alabama University of Alaska: Arizona State University Arizona Western College Central Arizona College Northern Arizona University Pima Community College Yavapai College Arkansas State University: Arkansas Tech University Henderson State University Northwest Arkansas Community College Southern Arkansas University University of Arkansas:
CALIFORNIA ............................
University of Central Arkansas Allan Hancock College California State Polytechnic University: California State University:
College of the Sequoias Contra Costa Community College Cuesta College El Camino College Foothill-De Anza College Fresno Community College Humboldt State University Marin Community College Pasadena Community College Riverside Community College San Bernardino Community College San Diego State University San Francisco State University San Jose/Evergreen Community College Santa Rosa Junior College Solano Community College Sonoma State University University of California:
Campus
Montgomery
Birmingham Huntsville Tuscaloosa
Anchorage Fairbanks Main Campus
Beebe Jonesboro
Fayetteville Little Rock Medical Sciences Monticello Pine Bluff
Pomona San Luis Obispo Bakersfield Channel Islands Chico Dominguez Hills East Bay Fresno Fullerton Long Beach Los Angeles Monterey Bay Northridge Sacramento San Bernardino San Jose2 San Marcos Stanislaus
Berkeley Davis Hastings College of Law Irvine
Student enrollment1
Total law enforcement employees
Total officers
Total civilians
6,076 5,565 5,079
30 40 22 6
17 30 13 4
13 10 9 2
3,420 8,957 425 27,938 16,561 7,091 23,838 2,895 6,810 13,090 3,633 16,163 8,340 51,234 6,579 6,471 20,555 32,532 9,305 4,073 10,949 7,038 3,664 5,732 3,113 17,926 11,905 2,435 3,179 3,128 12,330 12,321 20,510 18,722 7,711 3,123 16,250 12,068 12,706 22,098 35,921 35,574 20,565 3,818 34,560 28,529 16,479
3 15 8 13 154 16 68 15 14 47 9 21 18 112 11 10 23 34 9 4 21 11 8 10 7 41 39 49 7 17 34 20 32 35 15 19 29 22 28 26 32 45 36 16 39 31 20 55 22 22 5 34 7 21 21 18 19 7 11 22 15 47 50 14 26 6 17 129 71 12 43
3 11 6 11 67 12 58 9 12 27 6 14 11 65 6 7 15 26 8 3 17 9 7 6 6 33 27 41 6 12 25 5 20 17 11 14 19 16 13 18 24 24 20 14 25 22 11 28 14 11 4 23 6 15 11 15 11 6 6 16 10 26 27 6 13 4 10 77 41 12 30
0 4 2 2 87 4 10 6 2 20 3 7 7 47 5 3 8 8 1 1 4 2 1 4 1 8 12 8 1 5 9 15 12 18 4 5 10 6 15 8 8 21 16 2 14 9 9 27 8 11 1 11 1 6 10 3 8 1 5 6 5 21 23 8 13 2 7 52 30 0 13
8,734 8,374 9,959 6,870 10,578 23,488 39,874 22,040 7,435 6,512 25,873 29,486 12,090 33,441 29,628 18,164 24,806 10,900 8,274 33,920 29,628 1,272 25,230
1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
468
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
University/College
Campus
Los Angeles Merced Riverside San Diego San Francisco Santa Barbara Santa Cruz
COLORADO ..............................
CONNECTICUT ........................
DELAWARE............................... FLORIDA ....................................
Ventura County Community College West Valley-Mission College Adams State College Arapahoe Community College Auraria Higher Education Center2 Colorado School of Mines Colorado State University Fort Lewis College Pikes Peak Community College Red Rocks Community College University of Colorado:
Central Connecticut State University Eastern Connecticut State University Southern Connecticut State University University of Connecticut:
Western Connecticut State University Yale University Delaware State University University of Delaware Florida A&M University Florida Atlantic University Florida Gulf Coast University Florida International University Florida State University: New College of Florida Pensacola Junior College Santa Fe Community College Tallahassee Community College University of Central Florida University of Florida University of North Florida University of South Florida:
GEORGIA...................................
1 The
University of West Florida Abraham Baldwin Agricultural College Albany State University Armstrong Atlantic State University Berry College Clark Atlanta University Clayton College and State University Columbus State University Dalton State College Emory University Georgia College and State University Georgia Military College2 Georgia Perimeter College Georgia Southern University Georgia State University Kennesaw State University Medical College of Georgia Mercer University Morehouse College Morris-Brown College2 North Georgia College and State University Piedmont College Savannah State University South Georgia College University of Georgia University of West Georgia
Fort Collins
Boulder Colorado Springs Health Sciences Center2 Health Sciences Center, Fitzsimons Campus2
Student enrollment1 36,611 1,286 16,875 26,247 2,943 21,082 15,364 11,757 18,740 8,442 6,918 4,357 27,636 3,905 10,526 6,727 31,665 8,647
12,144 5,239 12,326 Health Center2 Storrs, Avery Point, and Hartford2 6,086 11,415 3,690 20,380 11,907 25,325 8,279 37,997 Panama City2 Tallahassee
St. Petersburg2 Tampa
39,973 746 10,208 14,012 12,732 46,646 50,912 15,954 43,636 9,819 3,574 3,927 6,713 1,841 4,514 6,081 7,587 4,348 12,338 6,040 19,955 16,425 26,135 19,844 2,227 7,049 2,933
4,922 2,118 3,241 1,465 33,959 10,160
Total law enforcement employees
Total officers
Total civilians
92 16 36 64 107 44 46 29 12 6 11 37 9 69 10 15 1 52 23 5
55 9 26 36 34 31 19 13 8 5 8 23 8 42 8 13 1 40 15 5
37 7 10 28 73 13 27 16 4 1 3 14 1 27 2 2 0 12 8 0
56 28 25 33 21
21 22 18 26 13
35 6 7 7 8
80 27 96 31 68 56 48 21 56 6 74 20 17 22 19 91 150 37 15 53 31 15 28 12 16 38 21 29 9 60 22 4 81 29 109 43 45 36 38 7
68 16 82 10 36 34 37 14 39 5 57 13 12 16 9 60 83 28 9 40 21 14 16 8 13 13 12 22 8 41 16 2 35 25 69 23 34 27 15 3
12 11 14 21 32 22 11 7 17 1 17 7 5 6 10 31 67 9 6 13 10 1 12 4 3 25 9 7 1 19 6 2 46 4 40 20 11 9 23 4
12 8 24 6 93 44
9 2 10 6 72 17
3 6 14 0 21 27
student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
SECTION V: LAW ENFORCEMENT PERSONNEL 469 Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
ILLINOIS.....................................
University/College
Valdosta State University Wesleyan College Young Harris College Black Hawk College Chicago State University College of DuPage College of Lake County Eastern Illinois University Governors State University Illinois State University John A. Logan College Joliet Junior College Loyola University of Chicago Moraine Valley Community College Morton College Northeastern Illinois University Northern Illinois University Northwestern University: Oakton Community College Parkland College Rock Valley College Southern Illinois University:
South Suburban College Triton College University of Illinois:
INDIANA ....................................
IOWA............................................
KANSAS ......................................
KENTUCKY ...............................
LOUISIANA ...............................
Waubonsee College Western Illinois University William Rainey Harper College Ball State University Indiana State University Indiana University:
Marian College Purdue University Iowa State University University of Iowa University of Northern Iowa Emporia State University Fort Hays State University Kansas State University Pittsburg State University University of Kansas: Washburn University Wichita State University Eastern Kentucky University Kentucky State University Morehead State University Murray State University Northern Kentucky University University of Louisville Western Kentucky University Delgado Community College Grambling State University Louisiana State University:
McNeese State University Nicholls State University Northwestern State University Southeastern Louisiana University Southern University and A&M College: Tulane University 1 The
Campus
Student enrollment1 10,888 632 604 6,151 7,035 26,032 15,558 12,349 5,382 20,521 7,364 12,924 15,194 15,693 5,049 12,056 25,313
Chicago Springfield Urbana
Bloomington Gary Indianapolis2 New Albany
Main Campus Medical Center
Baton Rouge2 Health Sciences Center, New Orleans Health Sciences Center, Shreveport Shreveport
Baton Rouge New Orleans
Total officers
Total civilians
28 4 2 10 35 20 20 23 9 24 8 19 59 16 4 25 57 16 67 11 18 14 45 40 14 14 15 124 21 68 4 31 16 32 34 53 14 44 10 7 50 33 55 23 9 10 34 16 46 59 18 33 38 8 27 21 24 60 36 32 25 64
20 4 2 9 25 15 12 20 7 19 7 10 35 10 2 18 36 12 30 10 13 11 34 31 2 10 10 72 15 53 4 26 11 25 25 43 11 29 8 5 40 28 33 17 9 8 20 13 28 31 13 24 24 4 16 14 18 27 25 21 13 61
8 0 0 1 10 5 8 3 2 5 1 9 24 6 2 7 21 4 37 1 5 3 11 9 12 4 5 52 6 15 0 5 5 7 9 10 3 15 2 2 10 5 22 6 0 2 14 3 18 28 5 9 14 4 11 7 6 33 11 11 12 3
2,199
30
30
0
768 4,023 8,327 6,804 9,431 15,106 8,624 2,197 10,237
65 11 18 13 19 35 51 9 48
45 10 14 8 15 26 31 8 37
20 1 4 5 4 9 20 1 11
Chicago2 Evanston2
Carbondale Edwardsville School of Medicine2
Total law enforcement employees
10,597 9,336 8,011 21,003 13,449 7,160 15,738 24,644 4,761 42,738 8,843 13,602 15,053 20,030 10,568 38,247 4,819 6,183 1,796 40,609 25,462 28,816 12,327 6,473 9,122 23,141 6,859 26,773 2,150 7,153 13,964 15,763 2,498 8,958 10,298 14,617 20,785 18,660 11,916 5,065
student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
470
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
University/College
University of Louisiana:
MAINE.........................................
MARYLAND ..............................
MASSACHUSETTS...................
University of New Orleans University of Maine: University of Southern Maine Bowie State University Coppin State University Frostburg State University Morgan State University Salisbury University St. Mary’s College Towson University University of Baltimore University of Maryland:
Assumption College Bentley College Boston College Boston University Brandeis University Bridgewater State College Bristol Community College Clark University Dean College Fitchburg State College Framingham State College Harvard University Lasell College Massachusetts College of Art Massachusetts College of Liberal Arts Massachusetts Institute of Technology Massasoit Community College Merrimack College Mount Holyoke College Northeastern University North Shore Community College Quinsigamond Community College Salem State College Springfield College Tufts University: University of Massachusetts:
MICHIGAN.................................
MINNESOTA ..............................
1 The
Wellesley College Wentworth Institute of Technology Western New England College Westfield State College Central Michigan University Delta College Eastern Michigan University Ferris State University Grand Rapids Community College Grand Valley State University Lansing Community College Macomb Community College Michigan State University Michigan Technological University Mott Community College Northern Michigan University Oakland Community College Oakland University Saginaw Valley State University University of Michigan:
Western Michigan University University of Minnesota:
Campus
Lafayette Monroe Farmington Orono
Baltimore City Baltimore County College Park Eastern Shore
Medford Worcester2 Amherst Dartmouth Harbor Campus, Boston Medical Center, Worcester
Ann Arbor Dearborn Flint Duluth Morris Twin Cities
Student enrollment1 16,302 8,576 11,747 2,421 11,797 10,478 5,291 4,104 4,910 6,705 7,383 1,957 18,921 4,948 5,636 11,798 35,102 4,130 2,792 5,555 14,661 31,574 5,313 9,655 6,927 3,071 1,315 5,508 5,836 25,778 1,275 2,286 1,805 10,253 6,975 2,282 2,153 23,411 6,910 6,022 10,230 4,994 9,638 25,593 8,756 12,362 1,020 2,370 3,613 3,653 5,426 26,710 10,149 22,950 12,574 15,224 23,295 20,394 21,131 45,520 6,546 10,038 9,689 24,123 17,737 9,543 40,025 8,342 6,527 24,841 11,190 1,747 50,402
Total law enforcement employees 25 28 26 5 33 27 29 21 20 55 20 13 59 30 138 33 120 16 23 35 70 62 23 26 8 14 12 16 17 96 13 21 21 58 14 16 24 76 21 12 28 31 64 21 76 40 31 30 20 18 25 18 30 11 28 18 14 20 17 37 107 12 7 26 27 23 10 89 4 20 64 10 6 62
Total officers
Total civilians
21 21 23 4 20 15 15 14 16 35 16 1 39 12 55 24 81 9 14 25 53 50 19 21 6 12 7 13 13 71 13 8 18 55 11 12 16 53 19 12 25 13 42 16 60 23 24 21 15 12 16 15 21 8 22 13 11 16 15 30 70 9 3 22 25 18 8 54 4 6 27 9 3 45
student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
4 7 3 1 13 12 14 7 4 20 4 12 20 18 83 9 39 7 9 10 17 12 4 5 2 2 5 3 4 25 0 13 3 3 3 4 8 23 2 0 3 18 22 5 16 17 7 9 5 6 9 3 9 3 6 5 3 4 2 7 37 3 4 4 2 5 2 35 0 14 37 1 3 17
SECTION V: LAW ENFORCEMENT PERSONNEL 471 Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
MISSISSIPPI ...............................
MISSOURI ..................................
MONTANA ................................. NEBRASKA................................ NEVADA .....................................
NEW JERSEY ............................
University/College
Coahoma Community College Itawamba Community College Jackson State University Mississippi State University University of Mississippi: Lincoln University Mineral Area College Missouri Western State University Northwest Missouri State University Southeast Missouri State University St. Louis Community College Truman State University University of Central Missouri University of Missouri:
Washington University Montana State University University of Montana University of Nebraska: Truckee Meadows Community College University of Nevada: Brookdale Community College Essex County College Kean University of New Jersey Middlesex County College Monmouth University Montclair State University New Jersey Institute of Technology Richard Stockton College Rowan University Rutgers University:
Stevens Institute of Technology The College of New Jersey University of Medicine and Dentistry:
NEW MEXICO ...........................
NEW YORK ................................
William Paterson University Eastern New Mexico University New Mexico Highlands University New Mexico State University University of New Mexico Cornell University Ithaca College State University of New York:
State University of New York Agricultural and Technical College:
State University of New York College:
Campus
Medical Center Oxford
Meramec
Columbia Kansas City Rolla St. Louis
Kearney Lincoln Las Vegas Reno
Camden Newark New Brunswick
Camden2 Newark Piscataway2
Albany Albany (Plaza)2 Binghamton Buffalo Downstate Medical Center2 Maritime College Stony Brook2 Alfred Canton Cobleskill Farmingdale2 Morrisville2 Brockport Buffalo Cortland Environmental Science and Forestry Fredonia Geneseo New Paltz Old Westbury Oneonta
Student enrollment1 1,838 5,213 8,256 16,206 1,598 15,220 3,224 2,926 5,276 6,242 10,454 10,887 5,820 10,711 28,184 14,213 5,858 15,528 13,355 12,052 13,925 6,468 22,106 11,556 27,912 16,663 13,745 10,972 13,050 11,990 6,399 16,076 8,209 7,212 9,578 5,165 10,203 34,392 4,829 6,934
Total law enforcement employees
Total officers
Total civilians
9 10 61 33 80 42 12 8 13 12 26 11 10 22 45 42 19 22 39 28 22 7 39 10 54 33 22 47 45 16 37 42 57 28 45 37 38 88 20 24 21 146 42 42 10 13 27 52 61 27 69 15 42 69 123 10 138
8 9 43 27 56 24 9 7 10 10 18 9 9 18 30 27 8 18 26 14 12 7 29 5 37 27 14 16 22 11 20 26 26 19 14 17 29 48 12 16 20 48 30 28 9 3 15 30 47 17 37 15 30 63 33 6 58
1 1 18 6 24 18 3 1 3 2 8 2 1 4 15 15 11 4 13 14 10 0 10 5 17 6 8 31 23 5 17 16 31 9 31 20 9 40 8 8 1 98 12 14 1 10 12 22 14 10 32 0 12 6 90 4 80
8,312 11,220 6,995
15 11 11 26 12 19 33 23
10 10 10 16 11 17 31 19
5 1 1 10 1 2 2 4
2,069 5,406 5,530 7,699 3,450 5,786
13 16 21 26 24 27
11 15 16 23 20 17
2 1 5 3 4 10
5,677 10,599 4,122 3,747 16,415 25,721 19,639 6,409 17,434 14,373 27,823 1,324
3,201 2,584 2,508
1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
472
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
University/College
Campus
Optometry Plattsburgh Potsdam Utica-Rome2 NORTH CAROLINA................
NORTH DAKOTA.....................
OHIO ............................................
OKLAHOMA .............................
Appalachian State University Belmont Abbey College Davidson College Duke University Elizabeth City State University Elon University Fayetteville State University Methodist College North Carolina Agricultural and Technical State University North Carolina Central University North Carolina School of the Arts North Carolina State University Saint Augustine’s College University of North Carolina:
Wake Forest University Western Carolina University Winston-Salem State University North Dakota State College of Science North Dakota State University University of North Dakota Bowling Green State University Central State University Cleveland State University Columbus State Community College Cuyahoga Community College Hocking College Kent State University Lakeland Community College Marietta College Miami University Ohio State University Ohio University Sinclair Community College University of Akron University of Cincinnati Wilberforce University Wright State University Youngstown State University Cameron University East Central University Murray State College Northeastern Oklahoma A&M College Northeastern State University Oklahoma State University:
Rogers State University Seminole State College Southeastern Oklahoma State University Southwestern Oklahoma State University Tulsa Community College University of Central Oklahoma University of Oklahoma: PENNSYLVANIA ......................
1 The
California University Cheyney University Clarion University Dickinson College East Stroudsburg University Edinboro University Elizabethtown College Indiana University Kutztown University Lehigh University
Student enrollment1 302 6,217 4,332 15,117 1,110 1,667 13,373 2,681 5,230 6,301 2,116
Raleigh Asheville Chapel Hill Charlotte Greensboro Pembroke Wilmington
Main Campus Okmulgee Tulsa2
Health Sciences Center Norman
11,098 8,675 845 31,130 1,247 3,639 27,717 21,519 16,872 5,827 12,098 6,739 8,861 5,650 2,493 12,258 12,834 19,108 1,766 14,807 22,745 24,289 4,600 22,697 8,649 1,522 16,329 51,818 20,610 19,103 21,882 28,327 863 16,088 13,273 5,737 4,453 2,232 1,923 9,417 23,499 3,255 3,955 2,038 3,830 5,122 16,632 15,588 3,790 25,923 7,720 1,667 6,563 2,400 7,013 7,579 2,329 14,248 10,193 6,858
Total law enforcement employees
Total officers
Total civilians
16 20 14 13 34 6 6 155 10 15 25 7
6 15 11 9 21 6 5 52 6 14 16 7
10 5 3 4 13 0 1 103 4 1 9 0
52 42 14 61 27 21 76 36 49 15 39 41 20 33 3 14 14 31 13 30 32 32 6 33 13 8 38 96 28 26 39 112 4 28 25 11 5 1 9 19 39 6 7 4 3 8 8 15 20 56 69 15 19 14 16 17 15 17 32 23 30
23 25 13 47 8 13 49 26 31 13 27 16 16 18 3 9 11 24 12 21 16 26 6 26 9 7 28 46 21 22 32 60 4 20 21 11 5 1 7 17 31 6 5 4 3 7 6 9 15 45 35 13 18 10 10 14 14 11 23 16 20
29 17 1 14 19 8 27 10 18 2 12 25 4 15 0 5 3 7 1 9 16 6 0 7 4 1 10 50 7 4 7 52 0 8 4 0 0 0 2 2 8 0 2 0 0 1 2 6 5 11 34 2 1 4 6 3 1 6 9 7 10
student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
SECTION V: LAW ENFORCEMENT PERSONNEL 473 Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
University/College
Lock Haven University Millersville University Moravian College Pennsylvania State University:
Shippensburg University Slippery Rock University University of Pittsburgh:
RHODE ISLAND ...................... SOUTH CAROLINA ................
SOUTH DAKOTA ..................... TENNESSEE...............................
TEXAS .........................................
West Chester University Brown University University of Rhode Island Benedict College Bob Jones University2 Clemson University Coastal Carolina University College of Charleston Columbia College Denmark Technical College Erskine College Francis Marion University Lander University Medical University of South Carolina Midlands Technical College Presbyterian College South Carolina State University Spartanburg Methodist College The Citadel Trident Technical College University of South Carolina:
Winthrop University South Dakota State University Austin Peay State University Christian Brothers University East Tennessee State University Middle Tennessee State University Northeast State Technical Community College Southwest Tennessee Community College Tennessee State University Tennessee Technological University University of Memphis University of Tennessee:
Vanderbilt University Volunteer State Community College Walters State Community College Abilene Christian University Alamo Community College District2 Alvin Community College Amarillo College Angelo State University Austin College Baylor Health Care System2 Baylor University Central Texas College College of the Mainland Eastfield College El Paso Community College Grayson County College Hardin-Simmons University Houston Baptist University Lamar University Laredo Community College
Campus
Altoona Beaver Behrend Berks Harrisburg Hazelton McKeesport2 Mont Alto University Park
Bradford Pittsburgh
Aiken Columbia Upstate
Chattanooga Knoxville Martin Memphis2
Student enrollment1 5,175 8,194 1,965 3,837 730 3,839 2,660 3,799 1,143
Total civilians
17,309 8,049 11,218 1,446 1,377 924 4,075 2,682 2,498 10,849 1,224 4,384 779 3,306 11,808 3,380 27,390 4,608 6,292 11,303 9,207 1,779 12,390 22,863
10 14 7 8 5 6 8 6 4 3 4 45 17 14 5 73 19 33 24 24 4 34 26 31 11 4 2 12 9 49 6 7 17 4 13 20 9 57 10 15 12 9 8 19 28
2 4 5 1 0 4 1 2 0 2 0 20 3 3 1 54 16 34 21 3 0 17 51 29 2 0 0 1 2 20 0 2 21 0 1 3 0 24 1 7 6 11 7 7 7
5,145
5
5
0
11,446 9,038 9,733 20,562 8,923 28,901 6,888
28 48 22 35 23 75 16 40 109 6 7 11 73 11 16 16 8 166 30 10 7 12 42 4 7 18 29 22
23 31 15 30 14 51 12 24 79 5 7 10 52 9 14 12 7 55 24 9 6 10 35 4 6 12 14 21
5 17 7 5 9 24 4 16 30 1 0 1 21 2 2 4 1 111 6 1 1 2 7 0 1 6 15 1
1,032 42,914 7,516 8,230 1,333 26,860 12,879 8,125 15,062 2,531
3,996 10,356 6,265 1,354
Beaumont
Total officers
12 18 12 9 5 10 9 8 4 5 4 65 20 17 6 127 35 67 45 27 4 51 77 60 13 4 2 13 11 69 6 9 38 4 14 23 9 81 11 22 18 20 15 26 35
11,607 7,370 5,738 4,777
Waco
Total law enforcement employees
14,040 17,726 3,834 12,015 26,105 3,720 2,367 2,143 9,906 8,152
1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
474
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
University/College
McLennan Community College Midwestern State University Mountain View College North Lake College Paris Junior College Rice University Richland College Southern Methodist University South Plains College Southwestern University Stephen F. Austin State University St. Mary’s University St. Thomas University Sul Ross State University Tarleton State University Texas A&M International University Texas A&M University:
Texas Christian University Texas Southern University Texas State Technical College:
Texas State University Texas Technological University Texas Woman’s University Trinity University Tyler Junior College University of Houston:
University of Mary Hardin-Baylor University of North Texas: University of Texas:
UTAH ...........................................
VERMONT.................................. VIRGINIA...................................
1 The
Western Texas College West Texas A&M University Brigham Young University College of Eastern Utah Southern Utah University University of Utah Utah State University Utah Valley State College Weber State University University of Vermont Christopher Newport University College of William and Mary Emory and Henry College Ferrum College George Mason University Hampton University James Madison University J. Sargeant Reynolds Community College Longwood College Norfolk State University Northern Virginia Community College Old Dominion University
Campus
College Station Commerce Corpus Christi Galveston Kingsville
Harlingen Marshall Waco San Marcos Lubbock
Central Campus Clearlake Downtown Campus Denton Health Science Center Arlington Austin Brownsville Dallas El Paso Health Science Center, San Antonio Health Science Center, Tyler2 Houston2 Medical Branch Pan American Permian Basin San Antonio Southwestern Medical School Tyler
Student enrollment1
Total law enforcement employees
Total officers
Total civilians
7,794 6,042 7,022 9,397 4,331 5,024 14,555 10,941 9,045 1,277 11,756 3,904 3,524 2,773 9,464 4,917 45,380 8,471 8,585 1,553 6,728 8,865 11,224 4,281 626 4,209 27,485 27,996 11,832 2,698 9,423 34,334 7,706 11,449 2,735 33,395 1,129 24,825 49,697 15,688 14,523 19,842
16 13 13 14 3 38 18 29 6 7 39 14 12 9 14 20 121 25 24 8 19 35 60 13 4 14 70 81 35 28 12 99 23 30 9 77 19 102 136 37 40 50
6 8 13 13 3 28 17 22 6 6 22 12 2 7 11 13 58 15 14 7 14 22 39 9 4 12 31 49 15 14 5 41 13 18 9 43 9 32 60 17 21 21
10 5 0 1 0 10 1 7 0 1 17 2 10 2 3 7 63 10 10 1 5 13 21 4 0 2 39 32 20 14 7 58 10 12 0 34 10 70 76 20 19 29
2,874
111 21 326 86 29 12 97 112 18 1 14 40 1 5 96 18 10 11 35 21 23 4 7 61 36 32 14 20 41 34 55
32 5 91 43 8 5 48 37 10 1 10 29 1 4 29 12 8 10 21 16 18 2 7 43 21 24 8 15 25 33 46
79 16 235 43 21 7 49 75 8 0 4 11 0 1 67 6 2 1 14 5 5 2 0 18 15 8 6 5 16 1 9
2,255 17,337 3,462 28,379 2,434 5,926 1,974 7,412 34,185 2,262 7,029 30,511 14,444 23,305 18,303 11,870 4,793 7,709 1,051 1,060 29,889 6,152 17,393 12,213 4,479 6,238 38,166 21,625
student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
SECTION V: LAW ENFORCEMENT PERSONNEL 475 Table 79. Full-Time Law Enforcement Employees, by State by University and College, 2007 (Contd.) (Number.) State
WASHINGTON ..........................
WEST VIRGINIA ......................
WISCONSIN................................
WYOMING..................................
University/College
Radford University Thomas Nelson Community College University of Mary Washington University of Richmond University of Virginia University of Virginia’s College at Wise Virginia Commonwealth University Virginia Military Institute Virginia Polytechnic Institute and State University Virginia State University Virginia Western Community College Central Washington University Eastern Washington University Evergreen State College University of Washington Washington State University: Western Washington University Bluefield State College Concord University Fairmont State University Glenville State College Marshall University Potomac State College Shepherd University West Liberty State College West Virginia State University West Virginia Tech West Virginia University University of Wisconsin:
Sheridan College University of Wyoming
Campus
Pullman Vancouver2
Eau Claire Green Bay La Crosse Madison Milwaukee Oshkosh Parkside Platteville Stevens Point Stout Superior Whitewater
Student enrollment1
Total law enforcement employees
Total officers
Total civilians
9,220 9,718 4,862 4,496 24,068 2,043 30,189 1,397
26 16 20 32 117 9 171 7
20 11 11 18 55 8 78 7
6 5 9 14 62 1 93 0
28,470 4,872 8,365 10,688 11,161 4,416 39,524 23,655
62 37 6 19 13 16 60 18 3 21 1 9 7 6 23 6 9 4 11 7 58 11 12 9 109 42 11 13 8 8 10 8 12 2 24
40 21 6 13 12 10 44 15 2 15 1 6 4 2 22 5 8 4 9 7 51 10 5 7 61 31 9 8 7 3 9 1 11 2 13
22 16 0 6 1 6 16 3 1 6 0 3 3 4 1 1 1 0 2 0 7 1 7 2 48 11 2 5 1 5 1 7 1 0 11
14,035 1,923 2,787 4,611 1,381 13,936 1,485 4,091 2,268 3,502 1,472 27,115 10,766 5,690 9,849 41,028 28,309 12,530 5,007 6,813 9,048 8,372 2,924 10,502 3,066 13,203
1 The student enrollment figures provided by the United States Department of Education are for the 2006 school year, the most recent available. The enrollment figures include full-time and parttime students. 2 Student enrollment figures were not available.
476
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Number.)
State
ALABAMAMetropolitan Counties.......................
ALABAMANonmetropolitan Counties.......................
ARIZONAMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Autauga Bibb Blount Calhoun Chilton Colbert Elmore Etowah Geneva Greene Hale Henry Houston Jefferson Lauderdale Lawrence Lee Limestone Lowndes Madison Mobile Montgomery Morgan Russell Shelby St. Clair Tuscaloosa Walker
24 12 78 83 56 54 79 151 25 25 8 13 82 704 42 41 146 97 41 281 535 163 174 90 191 45 191 64
22 11 48 40 27 30 32 59 11 8 6 11 52 550 33 22 61 39 12 106 163 121 49 32 110 39 92 31
2 1 30 43 29 24 47 92 14 17 2 2 30 154 9 19 85 58 29 175 372 42 125 58 81 6 99 33
Baldwin Bullock Butler Chambers Cherokee Clarke Clay Cleburne Coffee Conecuh Coosa Covington Crenshaw Cullman Dale Dallas De Kalb Escambia Fayette Jackson Lamar Macon Marengo Marion Marshall Monroe Perry Pickens Pike Randolph Talladega Tallapoosa Washington Wilcox Winston
240 14 12 55 40 33 29 25 47 30 22 27 11 126 24 50 88 55 16 76 21 37 27 25 73 56 14 25 30 11 98 54 16 27 23
85 6 10 23 18 14 10 9 21 6 9 25 10 73 19 24 38 20 11 28 8 18 13 12 30 20 7 7 16 11 40 26 6 9 10
155 8 2 32 22 19 19 16 26 24 13 2 1 53 5 26 50 35 5 48 13 19 14 13 43 36 7 18 14 0 58 28 10 18 13
264 3,498 254 1,450 401 305
69 763 94 538 132 68
195 2,735 160 912 269 237
Coconino Maricopa Mohave Pima Yavapai Yuma
State
ARIZONANonmetropolitan Counties.......................
ARKANSASMetropolitan Counties.......................
ARKANSASNonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Cochise Gila Greenlee La Paz Navajo
196 130 35 94 131
88 41 17 36 45
108 89 18 58 86
Benton Cleveland Craighead Crawford Crittenden Faulkner Franklin Garland Grant Jefferson Lincoln Lonoke Madison Miller Perry Poinsett Pulaski Saline Sebastian Washington
190 12 42 56 136 143 18 117 15 52 22 40 16 62 14 42 438 82 132 282
102 8 30 23 31 54 9 43 13 46 10 24 8 25 8 13 321 40 39 127
88 4 12 33 105 89 9 74 2 6 12 16 8 37 6 29 117 42 93 155
50 45 48 38 5 12 20 7 25 19 36 35 32 29 29 8 23 14 46 49 24 21 75 26 21 32 16 23 7 19 23 22 81 9 16 17 12 32 17 14 25 88 17 11
12 19 32 22 4 6 17 6 13 8 22 15 15 16 6 7 10 7 12 18 22 10 47 13 12 13 7 12 5 8 11 13 28 3 8 6 8 19 14 7 11 34 7 9
38 26 16 16 1 6 3 1 12 11 14 20 17 13 23 1 13 7 34 31 2 11 28 13 9 19 9 11 2 11 12 9 53 6 8 11 4 13 3 7 14 54 10 2
Arkansas Ashley Baxter Boone Bradley Calhoun Carroll Chicot Clark Clay Cleburne Columbia Conway Cross Dallas Desha Drew Fulton Greene Hempstead Hot Spring Howard Independence Izard Jackson Johnson Lafayette Lawrence Lee Little River Logan Marion Mississippi Monroe Montgomery Nevada Newton Ouachita Phillips Pike Polk Pope Prairie Randolph
SECTION V: LAW ENFORCEMENT PERSONNEL 477 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Scott Searcy Sevier Sharp St. Francis Stone Union Van Buren White Woodruff Yell CALIFORNIAMetropolitan Counties.......................
CALIFORNIANonmetropolitan Counties.......................
Alameda Butte Contra Costa El Dorado Fresno Imperial Kern Kings Los Angeles Madera Marin Merced Monterey Napa Orange Placer Riverside Sacramento San Benito San Bernardino San Diego San Francisco San Joaquin San Luis Obispo San Mateo Santa Barbara Santa Clara Santa Cruz Shasta Solano Sonoma Stanislaus Sutter Tulare Ventura Yolo Yuba
Alpine Amador Calaveras Colusa Del Norte Glenn Humboldt Inyo Lake Lassen Mariposa Mendocino Modoc Mono Nevada Plumas Sierra Siskiyou Tehama Trinity Tuolumne
Total law enforcement employees
Total officers
Total civilians
15 13 22 28 37 24 60 27 84 16 20
8 7 11 11 14 8 27 14 37 6 14
7 6 11 17 23 16 33 13 47 10 6
1,612 280 1,005 372 1,197 261 1,083 221 15,651 110 316 255 431 123 3,555 441 3,640 2,296 67 3,378 3,791 1,005 737 383 633 688 692 312 237 480 729 616 129 711 1,224 260 174
967 112 674 196 487 177 476 81 9,278 76 209 199 317 93 1,753 259 1,965 1,419 32 1,783 2,191 831 296 162 433 309 517 137 147 118 534 233 100 450 748 87 137
645 168 331 176 710 84 607 140 6,373 34 107 56 114 30 1,802 182 1,675 877 35 1,595 1,600 174 441 221 200 379 175 175 90 362 195 383 29 261 476 173 37
20 88 111 59 62 68 216 70 150 91 75 163 26 43 191 73 15 131 105 41 128
15 45 64 31 32 29 164 51 57 69 60 127 22 26 71 38 11 99 72 20 60
5 43 47 28 30 39 52 19 93 22 15 36 4 17 120 35 4 32 33 21 68
State
COLORADOMetropolitan Counties.......................
COLORADONonmetropolitan Counties.......................
DELAWAREMetropolitan Counties....................... FLORIDAMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Adams Arapahoe Boulder Clear Creek Douglas El Paso Gilpin Jefferson Larimer Mesa Park Pueblo Teller Weld
505 487 336 54 398 618 41 780 415 240 83 291 88 296
350 300 220 21 274 403 26 542 180 168 32 131 61 86
155 187 116 33 124 215 15 238 235 72 51 160 27 210
Alamosa Archuleta Baca Bent Chaffee Cheyenne Conejos Costilla Crowley Custer Delta Dolores Eagle Fremont Garfield Grand Gunnison Hinsdale Huerfano Jackson Kiowa Kit Carson Lake La Plata Las Animas Lincoln Logan Mineral Moffat Montezuma Montrose Morgan Otero Ouray Phillips Pitkin Prowers Rio Blanco Rio Grande Routt Saguache San Juan San Miguel Sedgwick Summit Washington Yuma
36 45 9 7 40 9 22 9 11 17 56 7 63 87 112 49 26 5 21 7 5 20 18 114 37 21 50 4 37 61 99 56 20 8 4 27 31 29 29 44 19 4 37 9 76 47 19
21 14 3 6 17 5 7 5 7 7 25 5 53 33 40 19 12 4 9 4 4 6 9 86 14 5 21 3 17 24 49 28 12 8 3 25 11 15 8 23 8 3 33 5 56 15 7
15 31 6 1 23 4 15 4 4 10 31 2 10 54 72 30 14 1 12 3 1 14 9 28 23 16 29 1 20 37 50 28 8 0 1 2 20 14 21 21 11 1 4 4 20 32 12
New Castle County Police Department
450
336
114
Alachua Baker
755 88
257 45
498 43
478
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
FLORIDANonmetropolitan Counties.......................
GEORGIAMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Bay Brevard Broward Charlotte Clay Collier Escambia Flagler Gadsden Gilchrist Hernando Hillsborough Indian River Jefferson Lake Lee Leon Manatee Marion Martin Miami-Dade Nassau Okaloosa Orange Osceola Palm Beach Pasco Pinellas Polk Santa Rosa Sarasota Seminole St. Johns St. Lucie Volusia Wakulla
278 1,117 1,818 613 545 1,314 1,092 174 82 56 384 3,400 495 48 714 924 346 691 894 541 4,538 204 366 2,008 559 2,948 1,114 1,297 1,555 314 933 1,028 567 636 742 159
211 483 461 283 273 847 400 121 56 29 249 1,223 201 21 343 554 238 443 399 272 3,118 102 260 1,355 381 1,219 484 718 627 188 419 400 279 267 456 73
67 634 1,357 330 272 467 692 53 26 27 135 2,177 294 27 371 370 108 248 495 269 1,420 102 106 653 178 1,729 630 579 928 126 514 628 288 369 286 86
Bradford Calhoun Citrus Columbia DeSoto Dixie Franklin Glades Gulf Hamilton Hardee Hendry Highlands Holmes Jackson Lafayette Levy Liberty Madison Monroe Okeechobee Putnam Sumter Suwannee Taylor Union Walton Washington
66 22 321 189 113 62 83 44 41 57 92 90 314 23 76 11 150 30 42 497 202 218 198 101 48 15 206 75
25 15 208 90 55 27 64 30 27 16 46 58 121 17 57 10 73 14 28 218 90 108 115 58 35 9 160 37
41 7 113 99 58 35 19 14 14 41 46 32 193 6 19 1 77 16 14 279 112 110 83 43 13 6 46 38
Augusta-Richmond Baker Barrow Bibb Brantley Brooks
682 3 169 314 23 40
616 3 121 274 16 19
66 0 48 40 7 21
State
County
Bryan Butts Carroll Catoosa Chatham Clarke Clayton County Police Department Cobb County Police Department Coweta Crawford DeKalb County Police Department Dougherty County Police Department Douglas Fayette Floyd Forsyth Fulton Fulton County Police Department Glynn County Police Department Gwinnett County Police Department Hall Heard Henry Jasper Jones Lamar Lee Liberty Long Lowndes McDuffie McIntosh Meriwether Monroe Murray Muscogee Newton Oglethorpe Paulding Pickens Rockdale Spalding Twiggs Walker Whitfield GEORGIANonmetropolitan Counties.......................
Appling Atkinson Bacon Baldwin Banks Ben Hill Berrien Bleckley Calhoun Camden Charlton Chattooga Cook Crisp Dooly Early Elbert Fannin Franklin Gilmer Gordon Grady Greene Habersham Hancock
Total law enforcement employees
Total officers
Total civilians
42 84 184 134 428 138 375 726 197 33 1,476
37 35 105 68 344 113 344 589 130 16 966
5 49 79 66 84 25 31 137 67 17 510
53 311 221 143 341 1,277 214 128
43 226 143 73 291 1,101 182 114
10 85 78 70 50 176 32 14
939 433 37 220 35 72 51 66 119 15 229 48 53 46 119 63 417 213 23 193 77 209 175 40 102 189
659 370 20 210 20 39 22 37 64 14 206 15 29 29 58 39 309 118 17 154 63 194 144 24 74 161
280 63 17 10 15 33 29 29 55 1 23 33 24 17 61 24 108 95 6 39 14 15 31 16 28 28
45 11 23 110 55 54 33 26 15 138 28 42 48 54 66 51 31 44 33 93 86 19 57 33 41
14 9 9 66 32 27 14 14 6 102 27 42 19 49 21 28 29 26 24 53 60 15 35 27 28
31 2 14 44 23 27 19 12 9 36 1 0 29 5 45 23 2 18 9 40 26 4 22 6 13
SECTION V: LAW ENFORCEMENT PERSONNEL 479 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
HAWAIINonmetropolitan Counties.......................
IDAHOMetropolitan Counties.......................
IDAHONonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Hart Irwin Jenkins Laurens Lumpkin Macon Miller Mitchell Peach Polk County Police Department Pulaski Putnam Seminole Stephens Sumter Taliaferro Tattnall Taylor Tift Towns Treutlen Troup Upson Ware Washington Webster Wheeler White Wilcox Wilkes Wilkinson
43 20 9 103 75 20 26 52 60 35 24 56 20 50 92 14 36 21 104 19 19 119 71 117 33 5 8 60 13 22 23
26 13 3 59 42 9 12 24 30 33 12 30 11 44 43 8 16 20 57 17 11 66 33 38 28 4 4 38 9 13 13
17 7 6 44 33 11 14 28 30 2 12 26 9 6 49 6 20 1 47 2 8 53 38 79 5 1 4 22 4 9 10
Hawaii Police Department Kauai Police Department Maui Police Department
543 169 418
397 124 311
146 45 107
Ada Bannock Boise Bonneville Canyon Franklin Gem Jefferson Kootenai Nez Perce Owyhee Power
388 62 14 84 143 15 21 32 144 38 19 17
142 29 12 57 75 12 11 18 80 22 11 9
246 33 2 27 68 3 10 14 64 16 8 8
Adams Bear Lake Benewah Bingham Blaine Bonner Boundary Butte Camas Caribou Cassia Clark Clearwater Custer Elmore Fremont Gooding Idaho Jerome Latah Lemhi Lewis
16 13 18 48 26 60 20 10 6 10 50 7 26 15 44 24 17 32 19 37 6 11
10 5 9 30 19 41 11 4 4 8 32 3 18 8 23 16 10 20 15 26 5 6
6 8 9 18 7 19 9 6 2 2 18 4 8 7 21 8 7 12 4 11 1 5
State
ILLINOISMetropolitan Counties.......................
ILLINOISNonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Lincoln Madison Minidoka Oneida Payette Shoshone Teton Twin Falls Valley Washington
8 34 27 10 32 28 15 62 31 17
6 22 16 6 18 16 8 39 16 12
2 12 11 4 14 12 7 23 15 5
Bond Boone Calhoun Champaign Clinton Cook De Kalb Du Page Ford Grundy Henry Jersey Kane Kankakee Kendall Lake Macon Macoupin Madison Marshall McHenry McLean Menard Mercer Monroe Peoria Piatt Rock Island Sangamon Stark St. Clair Tazewell Vermilion Will Winnebago Woodford
19 94 11 152 35 6,979 96 516 23 62 74 27 293 204 106 468 160 48 174 16 379 135 15 30 35 268 30 154 227 12 176 108 82 550 390 40
11 33 6 130 16 2,390 40 395 7 30 23 14 93 64 50 176 50 44 82 7 107 55 8 12 15 64 10 64 75 4 162 41 31 255 109 37
8 61 5 22 19 4,589 56 121 16 32 51 13 200 140 56 292 110 4 92 9 272 80 7 18 20 204 20 90 152 8 14 67 51 295 281 3
Adams Alexander Brown Bureau Carroll Cass Christian Clark Clay Coles Crawford Cumberland De Witt Douglas Edgar Edwards Effingham Fayette Franklin Fulton Gallatin Greene Hamilton Hancock
68 10 6 34 23 8 35 17 17 48 21 16 38 26 19 10 48 29 45 46 4 14 7 24
27 8 5 19 9 7 17 9 11 24 9 6 16 10 8 4 20 10 18 19 4 6 3 9
41 2 1 15 14 1 18 8 6 24 12 10 22 16 11 6 28 19 27 27 0 8 4 15
480
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
INDIANAMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Hardin Henderson Iroquois Jackson Jasper Jefferson Jo Daviess Johnson Knox La Salle Lawrence Lee Livingston Logan Marion Mason Massac McDonough Montgomery Morgan Moultrie Ogle Perry Pike Pope Pulaski Putnam Randolph Richland Saline Schuyler Scott Shelby Stephenson Union Wabash Warren Washington Wayne White Whiteside Williamson
2 14 30 71 19 51 37 13 54 109 17 41 63 27 35 21 29 25 28 42 24 59 32 28 3 16 11 27 23 48 8 7 24 70 16 6 21 20 24 25 51 64
2 8 18 25 9 20 19 7 51 46 8 22 30 20 13 9 11 13 14 15 10 27 26 12 3 7 7 12 7 12 3 3 12 29 9 4 11 7 9 7 24 35
0 6 12 46 10 31 18 6 3 63 9 19 33 7 22 12 18 12 14 27 14 32 6 16 0 9 4 15 16 36 5 4 12 41 7 2 10 13 15 18 27 29
Allen Bartholomew Benton Boone Brown Carroll Clark Clay Dearborn Delaware Elkhart Floyd Gibson Greene Hamilton Hancock Harrison Hendricks Howard Jasper Johnson La Porte Madison Monroe Newton Ohio Porter Posey Putnam
348 70 18 61 36 23 116 38 85 108 207 90 42 37 231 82 69 102 44 45 123 148 108 106 42 9 147 13 31
124 37 6 29 13 13 35 11 31 48 66 30 17 13 60 41 21 45 35 21 96 57 51 31 16 9 62 12 15
224 33 12 32 23 10 81 27 54 60 141 60 25 24 171 41 48 57 9 24 27 91 57 75 26 0 85 1 16
State
INDIANANonmetropolitan Counties.......................
IOWAMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Shelby St. Joseph Sullivan Tippecanoe Tipton Vanderburgh Vermillion Warrick Wells
82 288 32 147 22 248 25 81 38
26 120 10 46 11 107 9 37 15
56 168 22 101 11 141 16 44 23
Adams Blackford Clinton Crawford Daviess Decatur Dubois Fayette Fulton Grant Henry Huntington Jackson Jay Jefferson Knox Kosciusko Lawrence Marshall Martin Miami Montgomery Noble Orange Parke Perry Pike Pulaski Randolph Ripley Rush Scott Spencer Starke Steuben Union Wabash Warren Wayne White
41 32 65 17 62 38 33 11 23 111 72 40 53 16 32 38 87 64 57 15 32 55 67 30 38 17 26 47 41 26 24 23 14 27 63 11 36 18 105 33
16 9 19 8 18 11 16 10 10 45 29 14 16 11 14 12 36 25 20 6 15 17 20 9 12 7 9 13 15 9 10 11 13 13 21 6 14 7 68 13
25 23 46 9 44 27 17 1 13 66 43 26 37 5 18 26 51 39 37 9 17 38 47 21 26 10 17 34 26 17 14 12 1 14 42 5 22 11 37 20
Benton Black Hawk Bremer Dallas Dubuque Grundy Guthrie Harrison Johnson Jones Linn Madison Mills Polk Pottawattamie Scott Story Warren Washington Woodbury
26 132 29 42 81 15 11 21 94 23 169 15 20 355 158 165 82 34 31 116
12 100 12 17 73 11 5 9 64 10 110 7 11 147 47 45 31 23 18 32
14 32 17 25 8 4 6 12 30 13 59 8 9 208 111 120 51 11 13 84
SECTION V: LAW ENFORCEMENT PERSONNEL 481 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
IOWANonmetropolitan Counties.......................
County
Adair Adams Allamakee Appanoose Audubon Boone Buchanan Buena Vista Butler Calhoun Carroll Cass Cedar Cerro Gordo Cherokee Chickasaw Clarke Clay Clayton Clinton Crawford Davis Decatur Delaware Des Moines Dickinson Emmet Fayette Floyd Franklin Fremont Greene Hamilton Hancock Hardin Henry Howard Humboldt Ida Iowa Jackson Jasper Jefferson Keokuk Kossuth Lee Louisa Lucas Lyon Mahaska Marion Marshall Mitchell Monona Monroe Muscatine O’Brien Osceola Page Palo Alto Plymouth Pocahontas Poweshiek Ringgold Sac Shelby Sioux Tama Taylor Union Van Buren Wapello
Total law enforcement employees
8 9 14 14 8 30 18 17 18 11 15 14 36 62 17 14 16 17 26 40 12 13 11 15 44 21 15 33 17 11 18 15 28 8 29 26 14 15 16 23 15 45 27 7 24 30 22 12 28 24 34 56 17 17 13 22 30 15 15 15 27 13 19 10 18 14 36 22 9 11 10 39
Total officers
6 4 8 8 5 11 13 9 10 6 9 8 10 20 6 8 5 10 13 23 10 5 6 10 21 9 8 9 10 8 7 7 8 8 10 12 7 9 9 11 9 14 8 4 9 15 10 4 9 8 13 17 6 7 5 22 11 9 8 8 10 7 11 6 7 8 13 12 5 5 5 9
Total civilians
2 5 6 6 3 19 5 8 8 5 6 6 26 42 11 6 11 7 13 17 2 8 5 5 23 12 7 24 7 3 11 8 20 0 19 14 7 6 7 12 6 31 19 3 15 15 12 8 19 16 21 39 11 10 8 0 19 6 7 7 17 6 8 4 11 6 23 10 4 6 5 30
State
County
Wayne Webster Winnebago Winneshiek Worth Wright KANSASMetropolitan Counties.......................
KANSASNonmetropolitan Counties.......................
Total law enforcement employees
Total officers
Total civilians
11 35 9 23 18 19
6 19 6 10 7 7
5 16 3 13 11 12
Butler Doniphan Douglas Franklin Jackson Jefferson Johnson Leavenworth Linn Miami Osage Sedgwick Shawnee Sumner Wabaunsee Wyandotte
48 11 134 57 25 41 624 101 21 43 43 504 143 38 19 154
44 6 81 27 16 23 501 49 10 25 40 174 109 20 6 124
4 5 53 30 9 18 123 52 11 18 3 330 34 18 13 30
Allen Anderson Atchison Barber Barton Bourbon Brown Chase Chautauqua Cherokee Cheyenne Clark Clay Cloud Coffey Comanche Cowley Crawford Decatur Dickinson Edwards Elk Ellis Ellsworth Finney Ford Geary Graham Grant Gray Greeley Greenwood Hamilton Haskell Hodgeman Jewell Kearny Kingman Kiowa Labette Lane Lincoln Logan Lyon McPherson Meade Montgomery Morris
21 15 27 9 39 8 20 4 13 31 5 9 16 8 31 3 22 69 4 27 8 10 29 15 97 56 64 7 16 17 6 25 12 16 8 8 20 17 14 30 8 13 4 39 34 19 32 12
9 14 11 4 20 6 8 4 3 20 4 4 7 7 13 3 20 33 3 15 4 4 17 7 40 25 25 3 6 10 3 14 6 11 4 4 11 7 9 18 4 8 3 26 16 5 21 7
12 1 16 5 19 2 12 0 10 11 1 5 9 1 18 0 2 36 1 12 4 6 12 8 57 31 39 4 10 7 3 11 6 5 4 4 9 10 5 12 4 5 1 13 18 14 11 5
482
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
KENTUCKYMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Morton Nemaha Neosho Ness Norton Osborne Ottawa Pottawatomie Pratt Rawlins Reno Republic Riley County Police Department Rooks Rush Russell Saline Scott Seward Sheridan Sherman Smith Stafford Stanton Stevens Thomas Trego Wallace Washington Wichita Wilson Woodson
10 17 30 13 9 13 8 42 15 4 76 13 178 10 8 18 97 5 38 8 13 5 9 13 21 15 4 2 6 9 33 10
5 8 14 7 4 9 5 26 8 3 46 7 102 5 3 9 42 5 11 3 5 5 4 5 10 9 4 2 6 4 11 6
5 9 16 6 5 4 3 16 7 1 30 6 76 5 5 9 55 0 27 5 8 0 5 8 11 6 0 0 0 5 22 4
Boone Bourbon Boyd Bracken Bullitt Campbell Campbell County Police Department Christian Clark Daviess Edmonson Fayette Gallatin Gallatin County Police Depart ment Grant Greenup Hancock Hardin Henderson Henry Jefferson Jessamine Kenton Kenton County Police Department Larue McLean Meade Nelson Oldham Oldham County Police Department Pendleton Scott Shelby Spencer Trimble Warren Webster Woodford
146 6 26 5 47 13
137 5 23 4 42 10
9 1 3 1 5 3
29 30 15 52 6 77 6
28 26 12 38 4 43 6
1 4 3 14 2 34 0
1 19 15 7 40 36 6 282 30 41 55 4 10 10 28 17 35 7 34 25 7 4 62 8 9
1 17 14 6 33 20 5 234 22 34 33 4 8 7 21 15 32 6 34 24 6 3 42 6 9
0 2 1 1 7 16 1 48 8 7 22 0 2 3 7 2 3 1 0 1 1 1 20 2 0
State
KENTUCKYNonmetropolitan Counties.......................
County
Adair Allen Anderson Ballard Barren Bath Bell Boyle Breathitt Breckinridge Butler Caldwell Calloway Carlisle Carroll Carter Casey Clay Clinton Crittenden Cumberland Elliott Estill Fleming Floyd Franklin Fulton Garrard Graves Grayson Green Harlan Harrison Hart Hickman Hopkins Jackson Johnson Knott Knox Laurel Lawrence Lee Leslie Letcher Lewis Lincoln Livingston Logan Lyon Madison Magoffin Marion Marshall Martin Mason McCracken McCreary Menifee Mercer Metcalfe Monroe Montgomery Morgan Muhlenberg Nicholas Ohio Owen Owsley Perry Pike Powell
Total law enforcement employees
8 14 15 11 19 5 23 10 4 9 9 9 26 3 6 10 8 12 5 5 7 3 6 8 19 19 5 7 15 12 4 20 9 7 2 26 7 15 9 11 36 8 1 5 14 7 11 8 17 5 24 4 7 18 7 12 41 4 4 10 5 6 16 4 13 4 23 7 4 16 20 6
Total officers
6 12 15 11 15 4 10 10 2 7 5 7 17 2 4 7 7 10 4 4 5 2 5 8 12 18 4 7 11 9 4 12 9 6 2 19 4 11 6 8 30 5 1 4 13 5 9 8 16 5 18 3 6 17 5 10 37 2 4 9 4 4 14 2 12 2 19 5 3 10 10 4
Total civilians
2 2 0 0 4 1 13 0 2 2 4 2 9 1 2 3 1 2 1 1 2 1 1 0 7 1 1 0 4 3 0 8 0 1 0 7 3 4 3 3 6 3 0 1 1 2 2 0 1 0 6 1 1 1 2 2 4 2 0 1 1 2 2 2 1 2 4 2 1 6 10 2
SECTION V: LAW ENFORCEMENT PERSONNEL 483 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Pulaski Robertson Rockcastle Rowan Russell Simpson Taylor Todd Union Washington Wayne Whitley Wolfe LOUISIANAMetropolitan Counties.......................
LOUISIANANonmetropolitan Counties.......................
Ascension Bossier Caddo Calcasieu Cameron East Baton Rouge East Feliciana Grant Iberville Jefferson Lafourche Livingston Ouachita Plaquemines Pointe Coupee Rapides St. Bernard St. Charles St. Helena St. John the Baptist St. Martin St. Tammany Terrebonne Union West Baton Rouge West Feliciana
Acadia Assumption Beauregard Bienville Caldwell Catahoula Claiborne Concordia East Carroll Evangeline Jackson Jefferson Davis La Salle Lincoln Morehouse Natchitoches Red River Sabine St. James St. Landry St. Mary Tangipahoa Tensas Vermilion Vernon Washington Webster West Carroll Winn
Total law enforcement employees
Total officers
Total civilians
39 1 5 13 11 15 12 4 9 6 10 14 3
31 1 4 10 10 12 10 3 8 6 9 11 2
8 0 1 3 1 3 2 1 1 0 1 3 1
250 346 640 793 68 803 65 65 131 1,393 316 207 358 185 84 476 219 352 47 216 231 667 295 45 165 105
216 288 432 417 44 688 19 23 77 900 255 207 358 102 36 363 194 253 15 185 114 265 108 31 122 81
34 58 208 376 24 115 46 42 54 493 61 0 0 83 48 113 25 99 32 31 117 402 187 14 43 24
111 76 70 54 35 112 37 250 215 53 92 48 39 61 158 78 39 71 92 218 185 262 141 124 140 137 145 20 40
111 45 49 45 35 16 37 239 18 17 26 37 22 40 37 58 30 71 68 152 165 198 31 67 105 137 50 20 16
0 31 21 9 0 96 0 11 197 36 66 11 17 21 121 20 9 0 24 66 20 64 110 57 35 0 95 0 24
State
MAINEMetropolitan Counties.......................
MAINENonmetropolitan Counties.......................
MARYLANDMetropolitan Counties.......................
MARYLANDNonmetropolitan Counties.......................
MICHIGANMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Androscoggin Cumberland Penobscot Sagadahoc York
25 57 28 31 29
17 51 24 28 25
8 6 4 3 4
Aroostook Franklin Hancock Kennebec Knox Oxford Piscataquis Somerset Waldo Washington
22 26 19 46 19 17 19 17 18 22
16 15 17 39 18 16 8 15 16 12
6 11 2 7 1 1 11 2 2 10
Allegany Anne Arundel Anne Arundel County Police Department Baltimore County Baltimore County Police Department Calvert Carroll Cecil Charles Frederick Harford Howard Howard County Police Department Montgomery Montgomery County Police Department Prince George’s Prince George’s County Police Department Queen Anne’s Somerset Washington Wicomico
25 92
23 67
2 25
863 94 2,236 122 92 81 430 243 344 70 551 167
640 79 1,882 102 63 70 279 186 285 42 400 141
223 15 354 20 29 11 151 57 59 28 151 26
1,656 347
1,235 246
421 101
1,824 49 24 225 109
1,561 46 21 93 86
263 3 3 132 23
Caroline Dorchester Garrett Kent St. Mary’s Talbot Worcester
31 37 55 25 231 28 59
27 33 30 22 127 25 46
4 4 25 3 104 3 13
Barry Bay Berrien Calhoun Cass Clinton Eaton Genesee Ingham Ionia Jackson Kalamazoo Kent Lapeer Livingston Macomb Monroe Muskegon Newaygo Oakland Ottawa
49 80 166 182 70 59 136 253 205 51 137 205 543 82 130 502 203 120 64 1,062 224
31 35 74 81 34 25 72 144 119 22 52 161 207 46 74 250 96 51 27 866 126
18 45 92 101 36 34 64 109 86 29 85 44 336 36 56 252 107 69 37 196 98
484
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Saginaw St. Clair Van Buren Washtenaw Wayne MICHIGANNonmetropolitan Counties.......................
MINNESOTAMetropolitan Counties.......................
Total law enforcement employees
Total officers
Total civilians
128 163 87 158 1,332
69 56 44 128 1,017
59 107 43 30 315
Alcona Alger Allegan Alpena Antrim Arenac Baraga Benzie Branch Charlevoix Cheboygan Chippewa Clare Crawford Delta Dickinson Emmet Gladwin Gogebic Grand Traverse Gratiot Hillsdale Houghton Huron Iosco Iron Isabella Kalkaska Keweenaw Lake Leelanau Lenawee Luce Mackinac Manistee Marquette Mason Mecosta Menominee Midland Missaukee Montcalm Montmorency Oceana Ogemaw Ontonagon Osceola Oscoda Otsego Presque Isle Roscommon Sanilac Schoolcraft Shiawassee St. Joseph Tuscola Wexford
24 13 104 26 45 18 13 41 49 24 34 20 23 27 32 22 46 38 20 127 35 45 20 37 22 21 52 36 7 64 21 106 4 19 30 51 39 48 13 59 27 60 26 36 26 12 38 17 23 26 41 30 12 70 50 46 50
13 10 58 13 18 10 6 12 25 18 16 16 19 15 16 13 24 16 13 66 19 29 20 22 6 8 25 19 6 15 20 49 3 7 14 22 20 23 13 37 12 28 11 21 16 9 20 11 11 14 27 26 4 33 24 26 24
11 3 46 13 27 8 7 29 24 6 18 4 4 12 16 9 22 22 7 61 16 16 0 15 16 13 27 17 1 49 1 57 1 12 16 29 19 25 0 22 15 32 15 15 10 3 18 6 12 12 14 4 8 37 26 20 26
Anoka Benton Carlton Carver Chisago Clay Dakota Dodge
238 69 47 149 84 65 187 32
125 25 20 79 41 32 75 22
113 44 27 70 43 33 112 10
State
MINNESOTANonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Hennepin Houston Isanti Olmsted Polk Ramsey Scott Sherburne Stearns St. Louis Wabasha Washington Wright
799 24 60 143 26 397 122 265 173 236 34 230 168
334 12 19 56 21 244 36 63 62 95 19 91 133
465 12 41 87 5 153 86 202 111 141 15 139 35
Aitkin Becker Beltrami Big Stone Blue Earth Brown Cass Chippewa Clearwater Cook Cottonwood Crow Wing Douglas Faribault Fillmore Freeborn Goodhue Grant Hubbard Itasca Jackson Kanabec Kandiyohi Kittson Koochiching Lac Qui Parle Lake Lake of the Woods Le Sueur Lincoln Lyon Mahnomen Marshall Martin McLeod Meeker Mille Lacs Morrison Mower Murray Nicollet Nobles Norman Otter Tail Pennington Pine Pipestone Pope Red Lake Redwood Renville Rice Rock Roseau Sibley Steele Stevens Swift Todd
48 57 82 8 76 36 64 18 20 17 20 123 72 22 30 51 106 10 37 72 19 32 113 10 17 9 27 9 29 10 36 19 17 29 58 41 66 59 47 13 29 34 8 81 27 82 22 14 10 23 17 49 16 24 23 24 12 13 31
19 22 34 5 24 10 38 8 10 12 9 43 23 9 18 19 39 6 14 60 8 14 34 5 10 7 16 5 17 4 13 12 11 10 25 16 25 19 19 9 11 11 5 34 6 28 12 7 6 10 11 24 11 13 11 18 6 6 14
29 35 48 3 52 26 26 10 10 5 11 80 49 13 12 32 67 4 23 12 11 18 79 5 7 2 11 4 12 6 23 7 6 19 33 25 41 40 28 4 18 23 3 47 21 54 10 7 4 13 6 25 5 11 12 6 6 7 17
SECTION V: LAW ENFORCEMENT PERSONNEL 485 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Traverse Wadena Waseca Watonwan Wilkin Winona Yellow Medicine MISSISSIPPIMetropolitan Counties.......................
MISSISSIPPINonmetropolitan Counties.......................
Total law enforcement employees
Total officers
Total civilians
11 18 27 21 16 53 21
5 7 12 9 6 16 8
6 11 15 12 10 37 13
DeSoto George Hancock Harrison Hinds Lamar Madison Marshall Perry Rankin Simpson Stone Tate Tunica
204 28 51 395 430 72 115 50 18 156 36 21 33 139
80 17 47 152 114 38 50 26 10 80 27 19 17 67
124 11 4 243 316 34 65 24 8 76 9 2 16 72
Adams Attala Benton Bolivar Calhoun Chickasaw Choctaw Claiborne Clarke Clay Coahoma Greene Grenada Holmes Humphreys Issaquena Jasper Jefferson Jefferson Davis Kemper Lafayette Lauderdale Leake Lee Leflore Lincoln Lowndes Marion Monroe Montgomery Neshoba Newton Noxubee Oktibbeha Panola Pearl River Pike Prentiss Scott Smith Tallahatchie Tippah Tishomingo Union Walthall Warren Washington Wayne Winston
57 13 16 92 10 27 6 29 20 34 16 7 14 12 13 4 27 51 11 17 29 115 16 125 30 49 49 25 42 7 15 18 10 28 67 128 48 29 24 16 26 16 20 37 21 66 53 18 8
29 8 5 23 5 13 6 13 9 8 15 4 11 12 6 4 21 11 10 7 26 55 14 44 19 21 41 12 14 6 14 9 4 25 26 48 27 13 16 10 11 8 11 16 11 42 29 8 7
28 5 11 69 5 14 0 16 11 26 1 3 3 0 7 0 6 40 1 10 3 60 2 81 11 28 8 13 28 1 1 9 6 3 41 80 21 16 8 6 15 8 9 21 10 24 24 10 1
State
County
Yalobusha Yazoo MISSOURIMetropolitan Counties.......................
MISSOURINonmetropolitan Counties.......................
Andrew Bates Boone Buchanan Caldwell Callaway Cass Christian Clay Clinton Cole Dallas De Kalb Franklin Greene Howard Jackson Jasper Jefferson Lafayette Lincoln McDonald Moniteau Newton Osage Platte Polk Ray St. Charles St. Louis County Police Department Warren Washington Webster
Adair Atchison Audrain Barry Barton Benton Bollinger Butler Camden Cape Girardeau Carroll Carter Cedar Chariton Clark Cooper Crawford Dade Daviess Dent Douglas Dunklin Gasconade Gentry Grundy Harrison Henry Hickory Holt Howell Iron Johnson Knox Laclede Lawrence
Total law enforcement employees
Total officers
Total civilians
12 14
7 12
5 2
13 30 75 104 52 26 88 78 182 21 46 19 9 121 247 7 119 144 215 34 97 30 8 63 11 110 35 29 220 982 57 37 20
10 10 58 72 9 24 71 51 106 14 34 16 5 100 124 6 86 92 144 30 61 26 5 37 7 75 23 13 151 741 52 24 18
3 20 17 32 43 2 17 27 76 7 12 3 4 21 123 1 33 52 71 4 36 4 3 26 4 35 12 16 69 241 5 13 2
28 9 39 40 18 22 15 36 51 66 14 8 18 12 11 9 36 8 5 19 10 10 12 6 10 11 25 12 9 42 10 44 5 21 33
10 4 29 21 8 15 9 17 36 40 8 3 12 9 5 8 25 5 4 14 6 8 11 6 5 5 19 7 3 29 6 37 2 20 23
18 5 10 19 10 7 6 19 15 26 6 5 6 3 6 1 11 3 1 5 4 2 1 0 5 6 6 5 6 13 4 7 3 1 10
486
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Lewis Linn Livingston Macon Madison Maries Marion Mercer Miller Mississippi Monroe Montgomery Morgan New Madrid Nodaway Oregon Ozark Pemiscot Perry Pettis Phelps Pike Pulaski Putnam Ralls Randolph Reynolds Ripley Saline Schuyler Scotland Scott Shannon Shelby St. Clair Ste. Genevieve St. Francois Stoddard Stone Sullivan Taney Texas Vernon Wayne Worth Wright MONTANAMetropolitan Counties.......................
MONTANANonmetropolitan Counties.......................
Total law enforcement employees
Total officers
Total civilians
11 6 16 14 11 11 37 8 16 14 8 16 46 25 12 10 17 41 28 48 62 30 29 4 8 37 11 12 31 8 6 42 8 10 66 52 72 20 54 5 74 14 21 11 4 14
5 5 9 11 9 7 16 3 14 10 8 15 26 13 10 6 8 18 17 23 27 10 20 3 7 23 7 10 18 3 3 21 4 5 20 38 60 10 41 4 39 7 10 6 3 8
6 1 7 3 2 4 21 5 2 4 0 1 20 12 2 4 9 23 11 25 35 20 9 1 1 14 4 2 13 5 3 21 4 5 46 14 12 10 13 1 35 7 11 5 1 6
Carbon Cascade Missoula Yellowstone
8 130 174 129
8 37 50 53
0 93 124 76
Beaverhead Big Horn Blaine Broadwater Carter Chouteau Custer Daniels Dawson Deer Lodge Fallon Fergus Flathead Gallatin Garfield Glacier Golden Valley Granite Hill Jefferson
16 15 21 22 3 15 7 8 18 33 6 19 122 92 5 17 2 11 15 22
7 12 8 9 3 9 6 3 6 19 3 8 52 52 4 11 2 5 13 12
9 3 13 13 0 6 1 5 12 14 3 11 70 40 1 6 0 6 2 10
State
County
Judith Basin Lake Lewis and Clark Liberty Lincoln Madison McCone Meagher Mineral Musselshell Park Petroleum Phillips Pondera Powder River Powell Prairie Ravalli Richland Roosevelt Rosebud Sanders Sheridan Silver Bow Stillwater Sweet Grass Teton Toole Treasure Valley Wheatland Wibaux NEBRASKAMetropolitan Counties.......................
NEBRASKANonmetropolitan Counties.......................
Total law enforcement employees
Total officers
Total civilians
5 49 59 4 36 15 4 4 24 6 16 1 7 10 7 10 3 60 15 14 25 26 7 93 9 5 15 13 2 17 12 2
4 21 40 4 19 9 4 4 12 6 15 1 6 8 3 10 3 30 8 11 13 12 4 44 7 5 8 12 2 8 5 2
1 28 19 0 17 6 0 0 12 0 1 0 1 2 4 0 0 30 7 3 12 14 3 49 2 0 7 1 0 9 7 0
Dakota Dixon Douglas Lancaster Sarpy Saunders Seward
16 12 198 93 193 18 13
14 7 131 77 128 11 12
2 5 67 16 65 7 1
Adams Antelope Arthur Banner Blaine Boone Box Butte Boyd Brown Buffalo Burt Butler Cedar Chase Cherry Cheyenne Colfax Cuming Custer Dawes Deuel Dundy Fillmore Franklin Frontier Furnas Garden Garfield Gosper Greeley Hall
18 11 1 1 1 12 16 2 9 43 8 22 9 8 11 18 9 6 7 10 5 7 12 7 8 14 8 2 5 3 36
16 6 1 1 1 5 4 2 5 25 4 7 4 4 5 7 7 5 6 3 4 3 7 3 5 9 4 2 4 2 29
2 5 0 0 0 7 12 0 4 18 4 15 5 4 6 11 2 1 1 7 1 4 5 4 3 5 4 0 1 1 7
SECTION V: LAW ENFORCEMENT PERSONNEL 487 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
NEVADAMetropolitan Counties.......................
NEVADANonmetropolitan Counties.......................
NEW HAMPSHIREMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Hamilton Harlan Hayes Hitchcock Holt Hooker Howard Jefferson Johnson Kearney Keith Keya Paha Kimball Knox Lincoln Logan Loup Madison McPherson Merrick Morrill Nance Nemaha Nuckolls Otoe Pawnee Perkins Phelps Pierce Platte Polk Red Willow Richardson Rock Saline Scotts Bluff Sheridan Sherman Sioux Stanton Thayer Thomas Valley Wayne Webster Wheeler York
17 8 2 7 6 1 13 8 9 11 15 2 9 12 43 1 1 18 1 11 9 10 5 7 26 4 7 25 7 61 11 7 10 8 15 26 7 5 1 8 11 1 6 6 10 1 23
8 4 2 4 5 1 6 7 4 7 8 2 3 5 23 1 1 15 1 6 4 6 5 4 14 3 4 6 3 18 7 5 6 3 10 18 6 4 1 7 7 1 3 5 7 1 9
9 4 0 3 1 0 7 1 5 4 7 0 6 7 20 0 0 3 0 5 5 4 0 3 12 1 3 19 4 43 4 2 4 5 5 8 1 1 0 1 4 0 3 1 3 0 14
Carson City Storey Washoe
141 27 732
95 24 438
46 3 294
Churchill Douglas Elko Esmeralda Eureka Humboldt Lander Lincoln Lyon Mineral Nye Pershing White Pine
49 121 70 14 20 51 31 32 111 24 147 19 31
40 107 55 10 10 35 17 26 78 18 104 12 25
9 14 15 4 10 16 14 6 33 6 43 7 6
48
25
23
Rockingham
State
NEW HAMPSHIRENonmetropolitan Counties.......................
NEW JERSEYMetropolitan Counties.......................
NEW MEXICOMetropolitan Counties.......................
NEW MEXICONonmetropolitan Counties.......................
NEW YORKMetropolitan Counties.......................
County
Carroll Cheshire Merrimack
Total law enforcement employees
Total officers
Total civilians
25 18 27
14 10 16
11 8 11
Atlantic Bergen Bergen County Police Department Burlington Camden Cape May Cumberland Essex Gloucester Hudson Hunterdon Mercer Middlesex Monmouth Morris Ocean Passaic Salem Somerset Sussex Union Warren
131 545 175 88 172 146 58 506 89 273 31 179 228 696 353 245 821 179 227 146 213 19
102 456 90 72 149 126 51 432 76 179 26 140 187 488 270 136 653 155 185 122 169 16
29 89 85 16 23 20 7 74 13 94 5 39 41 208 83 109 168 24 42 24 44 3
Bernalillo Dona Ana Sandoval San Juan Santa Fe Torrance Valencia
335 209 58 112 97 15 49
263 131 50 87 75 12 36
72 78 8 25 22 3 13
Catron Chaves Cibola Colfax Curry De Baca Eddy Grant Lea Lincoln Luna McKinley Mora Otero Quay Rio Arriba Roosevelt Sierra Socorro Taos Union
11 53 18 10 18 2 54 39 53 25 33 44 8 45 9 24 16 13 13 23 4
6 42 13 8 15 2 47 36 38 16 30 32 6 31 8 18 13 11 10 17 3
5 11 5 2 3 0 7 3 15 9 3 12 2 14 1 6 3 2 3 6 1
Albany Broome Chemung Dutchess Erie Herkimer Livingston Madison Monroe Nassau
172 72 43 135 170 11 66 40 332 3,413
131 54 37 112 142 7 46 33 279 2,594
41 18 6 23 28 4 20 7 53 819
488
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Niagara Oneida Onondaga Ontario Orange Orleans Oswego Rensselaer Rockland Saratoga Schenectady Schoharie Suffolk Suffolk County Police Department Tioga Tompkins Ulster Warren Washington Wayne Westchester Public Safety NEW YORKNonmetropolitan Counties.......................
NORTH CAROLINAMetropolitan Counties.......................
1 The
Total law enforcement employees
Total officers
Total civilians
136 89 287 109 105 41 67 38 107 146 20 30 393 3,227 56 40 77 109 37 64 335
104 89 238 72 93 27 57 33 76 110 14 15 255 2,642 37 36 56 73 31 52 264
32 0 49 37 12 14 10 5 31 36 6 15 138 585 19 4 21 36 6 12 71
Cattaraugus Cayuga Chautauqua Chenango Clinton Columbia Cortland Delaware Essex Franklin Fulton Genesee Jefferson Lewis Montgomery Otsego Seneca Steuben St. Lawrence Sullivan Wyoming Yates
76 48 122 30 20 54 54 27 27 11 50 74 54 29 42 25 34 50 42 77 41 44
57 41 77 24 20 43 33 15 25 3 32 48 45 17 21 20 28 40 37 48 30 33
19 7 45 6 0 11 21 12 2 8 18 26 9 12 21 5 6 10 5 29 11 11
Alamance Alexander Anson Brunswick Buncombe Burke Cabarrus Caldwell Catawba Chatham Cumberland Currituck Davie Durham Edgecombe Forsyth Franklin Gaston Gaston County Police Department Greene Guilford Haywood Henderson Hoke Johnston Madison
210 48 32 159 355 109 192 105 169 92 538 58 70 428 123 280 58 208 204 32 521 88 178 79 187 31
108 29 28 108 225 82 174 55 119 73 304 55 42 158 51 222 53 118 127 24 245 50 124 48 107 19
102 19 4 51 130 27 18 50 50 19 234 3 28 270 72 58 5 90 77 8 276 38 54 31 80 12
State
NORTH CAROLINANonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Mecklenburg1 Nash New Hanover Onslow Orange Pender Person Pitt Randolph Rockingham Stokes Union Wake Wayne Yadkin
1,176 129 391 147 140 83 42 269 218 138 61 231 780 143 58
300 75 275 104 82 49 40 119 155 95 40 165 346 80 35
876 54 116 43 58 34 2 150 63 43 21 66 434 63 23
Alleghany Ashe Avery Beaufort Bertie Bladen Camden Carteret Caswell Cherokee Chowan Clay Cleveland Columbus Craven Dare Davidson Duplin Gates Graham Granville Halifax Harnett Hertford Hyde Iredell Jackson Jones Lee Lenoir Lincoln Macon Martin McDowell Mitchell Montgomery Moore Northampton Pamlico Pasquotank Perquimans Polk Richmond Robeson Rowan Rutherford Sampson Scotland Stanly Surry Swain Transylvania Tyrrell Vance Warren Washington
27 42 32 69 23 74 18 87 49 44 39 24 126 109 120 140 192 80 12 23 84 75 161 63 18 220 71 17 74 98 155 64 32 61 16 44 113 42 15 50 13 33 62 206 171 116 120 61 78 95 30 63 15 92 58 43
12 24 24 45 17 48 17 44 26 24 18 15 83 59 60 62 128 60 11 14 45 49 104 31 13 156 46 8 43 61 89 45 30 38 14 32 74 26 13 43 11 24 54 98 121 70 72 38 43 68 16 48 8 40 28 24
15 18 8 24 6 26 1 43 23 20 21 9 43 50 60 78 64 20 1 9 39 26 57 32 5 64 25 9 31 37 66 19 2 23 2 12 39 16 2 7 2 9 8 108 50 46 48 23 35 27 14 15 7 52 30 19
employee data presented in this table for Mecklenburg represent only Mecklenburg County Sheriff’s Office employees and exclude Charlotte-Mecklenburg Police Department employees.
SECTION V: LAW ENFORCEMENT PERSONNEL 489 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
NORTH DAKOTAMetropolitan Counties.......................
NORTH DAKOTANonmetropolitan Counties.......................
OHIOMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Watauga Wilkes Wilson Yancey
77 110 134 23
38 67 83 12
39 43 51 11
Burleigh Cass Grand Forks Morton
76 129 32 31
44 67 26 18
32 62 6 13
4 14 4 4 13 3 5 11 6 3 5 4 4 4 5 3 4 3 3 5 2 5 3 9 28 24 11 4 4 14 7 7 6 5 25 18 4 2 1 1 14 3 11 3 10 16 42 3 28
4 5 4 4 9 3 4 5 5 3 4 4 3 3 4 3 4 3 2 4 2 4 3 5 21 13 6 3 3 8 3 6 5 5 16 8 3 2 1 1 11 3 9 2 5 11 21 3 16
0 9 0 0 4 0 1 6 1 0 1 0 1 1 1 0 0 0 1 1 0 1 0 4 7 11 5 1 1 6 4 1 1 0 9 10 1 0 0 0 3 0 2 1 5 5 21 0 12
160 57 32 347 23 161 196 179 74
75 50 27 170 15 133 87 79 36
85 7 5 177 8 28 109 100 38
Adams Barnes Benson Billings Bottineau Bowman Burke Cavalier Dickey Divide Dunn Eddy Emmons Foster Golden Valley Grant Griggs Hettinger Kidder Lamoure Logan McHenry McIntosh McKenzie McLean Mercer Mountrail Nelson Oliver Pembina Pierce Ramsey Ransom Renville Richland Rolette Sargent Sheridan Sioux Slope Stark Steele Stutsman Towner Traill Walsh Ward Wells Williams
Allen Belmont Brown Butler Carroll Clark Clermont Delaware Erie
State
OHIONonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Fairfield Franklin Fulton Geauga Greene Hamilton Jefferson Lake Lawrence Licking Lorain Lucas Madison Mahoning Medina Miami Morrow Ottawa Pickaway Portage Preble Richland Stark Summit Trumbull Warren Washington
134 844 31 122 159 1,043 81 223 43 192 240 540 35 307 87 140 57 62 83 128 62 116 249 491 118 180 85
100 625 20 53 102 302 36 58 35 137 77 261 30 290 66 53 23 23 37 53 19 52 143 395 39 95 46
34 219 11 69 57 741 45 165 8 55 163 279 5 17 21 87 34 39 46 75 43 64 106 96 79 85 39
Adams Ashland Ashtabula Athens Auglaize Champaign Clinton Crawford Darke Defiance Fayette Gallia Guernsey Hancock Hardin Harrison Henry Highland Hocking Holmes Huron Jackson Logan Marion Meigs Mercer Monroe Morgan Muskingum Noble Paulding Perry Pike Putnam Ross Scioto Seneca Shelby Tuscarawas Van Wert Vinton Wayne Williams Wyandot
31 76 80 28 56 24 71 59 68 38 39 33 43 86 27 19 21 56 24 51 70 19 115 41 17 50 20 16 121 18 34 16 13 51 103 82 82 69 104 26 15 84 27 25
23 53 42 24 22 22 39 17 40 22 25 23 21 37 24 14 20 56 20 34 30 15 40 29 13 35 17 13 80 5 15 11 11 31 56 52 35 33 31 20 10 70 23 13
8 23 38 4 34 2 32 42 28 16 14 10 22 49 3 5 1 0 4 17 40 4 75 12 4 15 3 3 41 13 19 5 2 20 47 30 47 36 73 6 5 14 4 12
490
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
OKLAHOMAMetropolitan Counties.......................
OKLAHOMANonmetropolitan Counties.......................
County
Canadian Cleveland Comanche Creek Grady Le Flore Lincoln Logan McClain Oklahoma Okmulgee Osage Pawnee Rogers Sequoyah Tulsa Wagoner
Adair Alfalfa Atoka Beaver Beckham Blaine Bryan Caddo Carter Cherokee Choctaw Cimarron Coal Cotton Craig Custer Delaware Dewey Ellis Garfield Garvin Grant Greer Harmon Harper Haskell Hughes Jackson Jefferson Johnston Kay Kingfisher Kiowa Latimer Love Major Marshall Mayes McCurtain McIntosh Murray Muskogee Noble Nowata Okfuskee Ottawa Payne Pittsburg Pontotoc Pottawatomie Pushmataha Roger Mills Seminole Stephens
Total law enforcement employees
57 102 36 71 20 19 36 45 26 721 13 62 19 37 20 504 52
31 9 14 13 31 16 41 28 58 24 15 8 12 12 27 24 35 11 14 55 25 11 6 3 10 16 10 38 13 24 33 14 17 18 16 9 22 40 19 25 11 31 11 22 13 35 56 15 13 24 21 13 20 14
Total officers
32 43 27 35 13 13 12 15 14 182 12 35 9 28 15 184 18
9 4 8 7 9 7 15 16 19 19 6 4 7 6 10 8 19 4 5 20 12 5 3 3 6 6 5 12 4 7 12 7 15 8 6 6 6 18 17 16 5 28 5 10 9 15 25 14 11 19 7 8 11 11
Total civilians
25 59 9 36 7 6 24 30 12 539 1 27 10 9 5 320 34
22 5 6 6 22 9 26 12 39 5 9 4 5 6 17 16 16 7 9 35 13 6 3 0 4 10 5 26 9 17 21 7 2 10 10 3 16 22 2 9 6 3 6 12 4 20 31 1 2 5 14 5 9 3
State
OREGONMetropolitan Counties.......................
OREGONNonmetropolitan Counties.......................
PENNSYLVANIAMetropolitan Counties.......................
PENNSYLVANIANonmetropolitan Counties.......................
SOUTH CAROLINAMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Texas Tillman Washington Washita Woods Woodward
35 20 39 16 10 17
10 6 17 7 5 10
25 14 22 9 5 7
Benton Clackamas Columbia Deschutes Jackson Lane Marion Multnomah Polk Washington Yamhill
96 315 38 188 163 367 340 815 66 520 96
90 214 15 80 117 75 94 86 54 220 45
6 101 23 108 46 292 246 729 12 300 51
Baker Clatsop Coos Crook Curry Douglas Gilliam Grant Harney Hood River Jefferson Josephine Klamath Lake Lincoln Linn Malheur Morrow Sherman Tillamook Umatilla Union Wallowa Wasco Wheeler
26 57 80 29 33 144 6 18 20 35 49 88 70 8 87 140 47 27 6 60 74 11 12 29 14
11 26 20 16 13 112 5 4 6 18 17 34 33 7 27 69 19 27 5 56 49 9 7 15 5
15 31 60 13 20 32 1 14 14 17 32 54 37 1 60 71 28 0 1 4 25 2 5 14 9
Allegheny Allegheny County Police Department Beaver Cumberland Lycoming Montgomery Pike Washington Westmoreland York
180
149
31
269 29 31 16 123 21 31 61 106
213 23 26 11 103 17 27 53 95
56 6 5 5 20 4 4 8 11
Adams Bradford Clarion Elk Greene Jefferson Snyder Warren
9 11 1 6 7 3 5 45
8 9 1 5 6 2 5 18
1 2 0 1 1 1 0 27
Aiken Anderson Berkeley
229 254 200
120 175 129
109 79 71
SECTION V: LAW ENFORCEMENT PERSONNEL 491 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
SOUTH CAROLINANonmetropolitan Counties.......................
SOUTH DAKOTAMetropolitan Counties.......................
SOUTH DAKOTANonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Calhoun Charleston Darlington Dorchester Edgefield Fairfield Florence Greenville Horry Horry County Police Department Kershaw Laurens Lexington Pickens Richland Saluda Spartanburg Sumter York
24 655 114 194 59 51 230 452 226 277 69 97 353 131 519 55 323 129 282
21 252 63 101 30 45 115 362 170 255 59 61 229 94 477 21 294 117 143
3 403 51 93 29 6 115 90 56 22 10 36 124 37 42 34 29 12 139
Abbeville Allendale Bamberg Barnwell Beaufort Cherokee Chester Chesterfield Clarendon Colleton Dillon Georgetown Greenwood Hampton Jasper Lancaster Lee Marion Marlboro McCormick Newberry Oconee Orangeburg Union Williamsburg
52 14 16 45 225 92 80 64 62 135 80 126 116 24 34 124 34 45 29 32 93 136 113 50 65
28 12 13 26 200 45 45 42 46 66 31 76 70 21 29 78 29 39 25 12 49 77 84 28 32
24 2 3 19 25 47 35 22 16 69 49 50 46 3 5 46 5 6 4 20 44 59 29 22 33
Lincoln McCook Meade Minnehaha Pennington Turner Union
Aurora Beadle Bennett Bon Homme Brookings Brown Brule Buffalo Butte Campbell Charles Mix Clark Clay Codington
16 7 46 181 93 9 25
15 6 18 78 65 7 5
1 1 28 103 28 2 20
4 26 4 8 20 48 9 1 13 2 11 2 10 10
3 7 3 3 12 14 4 1 5 2 5 2 7 7
1 19 1 5 8 34 5 0 8 0 6 0 3 3
State
County
Corson Custer Davison Day Deuel Dewey Douglas Edmunds Fall River Faulk Grant Gregory Haakon Hamlin Hand Hanson Harding Hughes Hutchinson Hyde Jackson Jerauld Jones Kingsbury Lake Lawrence Lyman Marshall McPherson Mellette Miner Moody Perkins Potter Roberts Sanborn Shannon Spink Stanley Sully Todd Tripp Walworth Yankton Ziebach TENNESSEEMetropolitan Counties.......................
Anderson Blount Bradley Cannon Carter Cheatham Chester Dickson Fayette Grainger Hamblen Hamilton Hartsville-Trousdale Hawkins Hickman Jefferson Knox Loudon Macon Madison Marion Montgomery Polk Robertson Rutherford Sequatchie Shelby
Total law enforcement employees
Total officers
Total civilians
3 12 25 6 8 3 2 4 15 9 4 4 2 4 2 2 3 24 3 1 2 2 2 6 10 46 4 11 1 6 4 9 4 3 15 3 1 13 6 3 1 7 10 10 2
2 11 6 3 4 2 2 4 5 3 3 3 2 4 1 2 2 6 3 1 2 2 2 5 5 18 3 6 1 4 3 4 3 2 4 2 1 8 5 3 1 6 2 9 2
1 1 19 3 4 1 0 0 10 6 1 1 0 0 1 0 1 18 0 0 0 0 0 1 5 28 1 5 0 2 1 5 1 1 11 1 0 5 1 0 0 1 8 1 0
131 266 198 26 74 71 30 122 66 43 68 378 31 39 42 83 939 61 59 212 40 303 42 100 394 36 1,781
47 228 99 10 38 32 13 51 33 18 32 150 17 36 25 34 380 40 28 63 18 82 17 43 187 17 531
84 38 99 16 36 39 17 71 33 25 36 228 14 3 17 49 559 21 31 149 22 221 25 57 207 19 1,250
492
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
TENNESSEENonmetropolitan Counties.......................
TEXASMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Smith Stewart Sullivan Sumner Tipton Unicoi Union Washington Williamson Wilson
37 36 249 234 72 39 28 170 209 217
15 15 105 70 40 19 15 79 112 83
22 21 144 164 32 20 13 91 97 134
Bedford Benton Bledsoe Campbell Carroll Claiborne Clay Cocke Coffee Crockett Cumberland Decatur DeKalb Dyer Fentress Franklin Gibson Giles Greene Grundy Hancock Hardeman Hardin Haywood Henderson Henry Houston Humphreys Jackson Johnson Lake Lauderdale Lawrence Lewis Lincoln Marshall Maury McMinn McNairy Meigs Monroe Moore Morgan Obion Overton Perry Pickett Putnam Rhea Roane Scott Sevier Van Buren Warren Wayne Weakley White
81 38 12 64 34 67 21 65 70 30 89 20 37 65 28 51 75 58 157 22 40 42 43 47 35 63 22 29 33 43 17 58 69 28 55 49 130 73 36 28 71 25 39 38 54 31 15 124 85 71 42 144 17 78 44 42 54
30 17 7 37 18 22 10 32 38 12 44 12 15 24 17 30 31 25 62 12 14 22 16 19 23 31 10 16 13 15 6 23 41 13 25 22 69 36 15 11 36 13 14 26 24 13 10 58 33 27 21 84 7 37 17 21 25
51 21 5 27 16 45 11 33 32 18 45 8 22 41 11 21 44 33 95 10 26 20 27 28 12 32 12 13 20 28 11 35 28 15 30 27 61 37 21 17 35 12 25 12 30 18 5 66 52 44 21 60 10 41 27 21 29
58 9 6 72
22 7 2 27
36 2 4 45
Aransas Archer Armstrong Atascosa
State
County
Austin Bandera Bastrop Bell Bexar Bowie Brazoria Burleson Caldwell Calhoun Callahan Cameron Carson Chambers Clay Collin Comal Coryell Crosby Dallas Delta Denton Ector Ellis El Paso Fort Bend Galveston Goliad Grayson Gregg Guadalupe Hardin Harris Hays Hidalgo Hunt Irion Jefferson Johnson Jones Kaufman Kendall Lampasas Liberty Lubbock McLennan Medina Midland Montgomery Nueces Orange Parker Potter Randall Robertson Rockwall Rusk San Jacinto San Patricio Tarrant Taylor Tom Green Travis Upshur Victoria Waller Wichita Williamson Wilson Wise TEXASNonmetropolitan Counties.......................
Anderson Andrews Angelina
Total law enforcement employees
Total officers
Total civilians
53 48 136 260 1,734 46 337 30 80 66 11 378 14 84 19 470 216 59 17 2,040 19 542 181 214 1,025 580 395 23 133 232 199 62 3,666 257 746 114 8 392 247 26 241 66 32 63 297 307 58 168 609 302 133 108 201 156 29 104 66 39 87 1,375 170 162 1,427 71 183 65 181 467 70 109
33 27 53 92 504 40 158 13 24 27 5 98 6 42 11 141 106 22 5 445 10 197 90 79 251 386 229 12 58 89 67 34 2,349 118 257 41 3 138 88 9 83 42 18 45 138 103 22 83 343 85 60 81 97 71 11 42 38 17 42 467 74 54 738 34 69 33 39 196 26 51
20 21 83 168 1,230 6 179 17 56 39 6 280 8 42 8 329 110 37 12 1,595 9 345 91 135 774 194 166 11 75 143 132 28 1,317 139 489 73 5 254 159 17 158 24 14 18 159 204 36 85 266 217 73 27 104 85 18 62 28 22 45 908 96 108 689 37 114 32 142 271 44 58
80 29 60
34 11 46
46 18 14
SECTION V: LAW ENFORCEMENT PERSONNEL 493 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Bailey Baylor Bee Blanco Borden Bosque Brewster Briscoe Brooks Brown Burnet Camp Cass Castro Cherokee Childress Cochran Coke Coleman Collingsworth Colorado Comanche Concho Cooke Cottle Crane Crockett Culberson Dallam Dawson Deaf Smith Dewitt Dickens Dimmit Donley Duval Eastland Edwards Erath Falls Fannin Fayette Fisher Floyd Foard Franklin Freestone Frio Gaines Garza Gillespie Glasscock Gonzales Gray Grimes Hale Hall Hamilton Hansford Hardeman Harrison Hartley Haskell Hemphill Henderson Hill Hockley Hood Hopkins Houston Howard Hudspeth Hutchinson Jack
Total law enforcement employees 23 7 45 18 3 38 19 4 166 64 84 17 43 19 68 15 13 6 12 11 42 29 11 74 2 11 18 13 26 17 34 29 6 26 9 44 27 10 53 11 44 39 9 7 3 23 39 21 23 15 35 5 46 41 51 67 9 26 10 13 84 5 8 17 140 70 26 117 55 38 29 39 29 34
Total officers
4 2 22 10 2 19 12 3 15 25 51 6 17 10 28 5 7 4 6 4 18 11 5 22 2 7 13 7 4 6 12 11 2 9 5 24 9 4 22 6 24 19 5 3 2 9 16 12 12 9 20 3 17 14 25 25 3 14 5 8 43 5 3 10 73 31 10 39 26 21 13 15 11 11
Total civilians
19 5 23 8 1 19 7 1 151 39 33 11 26 9 40 10 6 2 6 7 24 18 6 52 0 4 5 6 22 11 22 18 4 17 4 20 18 6 31 5 20 20 4 4 1 14 23 9 11 6 15 2 29 27 26 42 6 12 5 5 41 0 5 7 67 39 16 78 29 17 16 24 18 23
State
County
Jackson Jasper Jeff Davis Jim Hogg Jim Wells Karnes Kenedy Kent Kerr Kimble King Kinney Kleberg Knox Lamar Lamb La Salle Lavaca Lee Leon Limestone Lipscomb Live Oak Llano Loving Lynn Madison Marion Martin Mason Matagorda Maverick McCulloch McMullen Menard Milam Mills Mitchell Montague Moore Morris Motley Nacogdoches Navarro Newton Nolan Ochiltree Oldham Palo Pinto Panola Parmer Pecos Polk Presidio Rains Reagan Real Red River Reeves Refugio Roberts Runnels Sabine San Augustine San Saba Schleicher Scurry Shackelford Shelby Sherman Somervell Starr Stephens Sterling
Total law enforcement employees 31 44 3 40 61 18 16 5 94 15 2 15 64 8 78 31 36 28 16 40 54 9 28 47 3 19 25 15 9 8 69 101 12 4 10 42 9 10 25 49 24 1 96 119 21 24 19 11 47 41 19 28 82 28 20 21 8 34 385 38 6 25 18 16 9 11 23 14 31 9 39 105 12 4
Total officers
15 15 3 20 28 9 10 2 43 10 2 6 22 3 27 13 11 11 10 21 19 5 11 25 2 7 9 14 4 4 39 49 6 3 6 10 6 5 8 17 10 1 38 61 13 11 8 6 20 26 6 14 46 5 9 8 3 16 18 12 5 7 8 6 4 5 10 5 14 4 20 35 7 4
Total civilians
16 29 0 20 33 9 6 3 51 5 0 9 42 5 51 18 25 17 6 19 35 4 17 22 1 12 16 1 5 4 30 52 6 1 4 32 3 5 17 32 14 0 58 58 8 13 11 5 27 15 13 14 36 23 11 13 5 18 367 26 1 18 10 10 5 6 13 9 17 5 19 70 5 0
494
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
County
Stonewall Sutton Swisher Terrell Terry Throckmorton Titus Tyler Upton Uvalde Val Verde Van Zandt Walker Ward Washington Wharton Wheeler Wilbarger Willacy Winkler Wood Yoakum Young Zapata Zavala UTAHMetropolitan Counties.......................
UTAHNonmetropolitan Counties.......................
VERMONTMetropolitan Counties....................... VERMONTNonmetropolitan Counties.......................
Total law enforcement employees
Total officers
Total civilians
7 14 8 11 38 6 56 29 24 35 47 67 67 34 58 70 10 18 37 29 62 20 32 106 30
2 5 3 4 10 2 22 16 10 16 33 26 32 12 34 39 5 7 14 11 25 9 12 45 13
5 9 5 7 28 4 34 13 14 19 14 41 35 22 24 31 5 11 23 18 37 11 20 61 17
147 292 25 15 1,202 100 91 398 156 365
114 96 23 12 347 49 30 127 45 94
33 196 2 3 855 51 61 271 111 271
Beaver Box Elder Carbon Daggett Duchesne Emery Garfield Grand Iron Kane Millard Piute Rich San Juan Sanpete Sevier Uintah Wasatch Wayne
60 77 45 25 45 41 27 32 78 27 55 3 10 36 25 61 49 42 6
16 27 22 8 18 24 6 15 31 12 39 3 4 14 20 31 21 18 6
44 50 23 17 27 17 21 17 47 15 16 0 6 22 5 30 28 24 0
Franklin
24
15
9
Addison Bennington Caledonia Essex Orange Orleans Rutland Washington Windham Windsor
16 15 5 2 2 6 22 11 16 13
9 12 4 1 2 4 18 9 12 11
7 3 1 1 0 2 4 2 4 2
Cache Davis Juab Morgan Salt Lake Summit Tooele Utah Washington Weber
State
VIRGINIAMetropolitan Counties.......................
VIRGINIANonmetropolitan Counties.......................
County
Total law enforcement employees
Albemarle County Police Department Amelia Amherst Appomattox Arlington County Police Department Bedford Botetourt Campbell Caroline Charles City Chesterfield County Police Department Clarke Craig Cumberland Dinwiddie Fairfax County Police Department Fauquier Fluvanna Franklin Frederick Giles Gloucester Goochland Greene Hanover Henrico County Police Department Isle of Wight James City County Police Department King and Queen King William Loudoun Louisa Mathews Montgomery Nelson New Kent Pittsylvania Powhatan Prince George County Police Department Prince William County Police Department Pulaski Roanoke County Police Department Rockingham Scott Spotsylvania Stafford Surry Sussex Warren Washington York
Accomack Alleghany Augusta Bath Bland Brunswick Buchanan Buckingham Carroll Charlotte Culpeper Dickenson Essex Floyd Grayson
Total officers
Total civilians
148 20 66 33 448 76 116 60 67 19 566 28 13 22 48 1,733 120 38 95 118 33 117 34 31 219 737 45
120 12 60 30 361 74 95 57 48 10 462 17 8 15 40 1,454 104 25 76 106 22 95 27 23 201 551 38
28 8 6 3 87 2 21 3 19 9 104 11 5 7 8 279 16 13 19 12 11 22 7 8 18 186 7
97 17 34 541 58 19 123 20 39 127 50
92 10 22 448 45 12 108 16 28 69 34
5 7 12 93 13 7 15 4 11 58 16
70
54
16
632 52
512 42
120 10
149 166 33 179 202 22 45 89 70 105
137 55 24 142 137 13 40 41 52 98
12 111 9 37 65 9 5 48 18 7
68 59 80 18 18 47 44 26 35 37 94 28 20 27 24
61 43 68 13 10 35 31 18 29 34 78 21 20 17 18
7 16 12 5 8 12 13 8 6 3 16 7 0 10 6
SECTION V: LAW ENFORCEMENT PERSONNEL 495 Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
WASHINGTONMetropolitan Counties.......................
WASHINGTONNonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Greensville Halifax Henry Highland King George Lancaster Lee Lunenburg Madison Mecklenburg Middlesex Northampton Northumberland Nottoway Orange Page Patrick Prince Edward Rappahannock Richmond Rockbridge Russell Shenandoah Smyth Southampton Tazewell Westmoreland Wise Wythe
34 43 123 11 45 32 36 21 28 50 21 81 27 23 44 53 48 28 23 20 36 51 74 46 76 54 30 63 46
24 35 109 6 30 27 36 14 17 48 15 66 16 14 34 47 34 28 23 12 28 33 65 46 66 47 21 60 39
10 8 14 5 15 5 0 7 11 2 6 15 11 9 10 6 14 0 0 8 8 18 9 0 10 7 9 3 7
Asotin Benton Chelan Clark Cowlitz Douglas Franklin King Kitsap Pierce Skagit Skamania Snohomish Spokane Thurston Whatcom Yakima
11 65 72 224 60 36 29 811 161 385 113 27 336 193 115 101 103
9 53 59 144 46 29 27 500 125 326 57 23 273 137 88 83 69
2 12 13 80 14 7 2 311 36 59 56 4 63 56 27 18 34
21 45 13 17 12 62 78 50 48 37 51 60 30 61 35 19 35 33 33 11 31 22
18 35 9 9 7 48 41 42 22 30 33 42 17 44 30 13 18 18 29 9 26 18
3 10 4 8 5 14 37 8 26 7 18 18 13 17 5 6 17 15 4 2 5 4
Adams Clallam Columbia Ferry Garfield Grant Grays Harbor Island Jefferson Kittitas Klickitat Lewis Lincoln Mason Okanogan Pacific Pend Oreille San Juan Stevens Wahkiakum Walla Walla Whitman
State
WEST VIRGINIAMetropolitan Counties.......................
WEST VIRGINIANonmetropolitan Counties.......................
WISCONSINMetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
Berkeley Boone Brooke Cabell Clay Hampshire Hancock Jefferson Kanawha Lincoln Marshall Mineral Monongalia Morgan Ohio Pleasants Preston Putnam Wayne Wirt Wood
83 25 26 48 6 16 29 32 122 8 27 14 60 10 28 7 20 44 24 2 71
57 22 16 41 5 14 24 27 93 8 24 11 33 9 27 6 15 37 19 2 37
26 3 10 7 1 2 5 5 29 0 3 3 27 1 1 1 5 7 5 0 34
Barbour Braxton Calhoun Doddridge Fayette Gilmer Grant Greenbrier Hardy Harrison Jackson Lewis Logan Marion Mason McDowell Mercer Mingo Monroe Nicholas Pendleton Pocahontas Raleigh Randolph Ritchie Roane Summers Taylor Tucker Tyler Upshur Webster Wetzel Wyoming
7 9 6 5 31 5 8 36 10 43 22 15 37 39 22 16 36 21 6 25 4 12 61 10 8 6 7 14 6 11 12 4 9 19
5 8 3 5 26 5 8 30 8 41 15 13 20 28 16 16 27 18 6 21 4 7 45 9 6 5 6 7 4 5 10 4 9 18
2 1 3 0 5 0 0 6 2 2 7 2 17 11 6 0 9 3 0 4 0 5 16 1 2 1 1 7 2 6 2 0 0 1
Brown Calumet Chippewa Columbia Dane Douglas Eau Claire Fond du Lac Iowa Kenosha Kewaunee
307 54 72 95 536 87 82 120 40 343 36
147 22 58 46 442 31 45 56 28 105 34
160 32 14 49 94 56 37 64 12 238 2
496
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 80. Full-Time Law Enforcement Employees, by State by Metropolitan and Nonmetropolitan Counties, 2007 (Contd.) (Number.)
State
WISCONSINNonmetropolitan Counties.......................
County
Total law enforcement employees
Total officers
Total civilians
La Crosse Marathon Milwaukee Oconto Outagamie Ozaukee Pierce Racine Rock Sheboygan St. Croix Washington Waukesha Winnebago
106 181 883 68 203 103 47 257 187 176 105 167 382 181
45 72 516 30 81 82 45 158 91 74 63 64 170 123
61 109 367 38 122 21 2 99 96 102 42 103 212 58
Adams Ashland Barron Bayfield Buffalo Burnett Clark Crawford Dodge Door Dunn Florence Forest Grant Green Green Lake Iron Jackson Jefferson Juneau Lafayette Langlade Lincoln Manitowoc Marinette Marquette Menominee Monroe Oneida
66 45 80 46 22 59 50 33 179 68 55 18 37 52 54 42 18 48 127 59 32 40 56 97 75 43 14 39 83
31 25 51 26 12 32 47 32 77 52 29 11 17 30 31 18 10 22 102 48 20 16 29 57 30 23 11 22 35
35 20 29 20 10 27 3 1 102 16 26 7 20 22 23 24 8 26 25 11 12 24 27 40 45 20 3 17 48
State
County
Pepin Polk Portage Price Richland Rusk Sauk Sawyer Shawano Taylor Trempealeau Vernon Vilas Walworth Washburn Waupaca Waushara Wood WYOMINGMetropolitan Counties....................... WYOMINGNonmetropolitan Counties.......................
Laramie Natrona
Albany Big Horn Campbell Carbon Converse Crook Fremont Goshen Hot Springs Johnson Lincoln Niobrara Park Platte Sheridan Sublette Sweetwater Teton Uinta Washakie Weston
Total law enforcement employees
Total officers
Total civilians
17 84 88 22 33 33 153 56 119 41 46 54 70 229 40 108 67 79
7 37 46 20 33 29 115 38 49 19 44 36 33 93 22 47 26 53
10 47 42 2 0 4 38 18 70 22 2 18 37 136 18 61 41 26
86 56
47 45
39 11
24 9 61 26 20 14 36 12 9 13 19 17 57 11 26 51 100 41 36 9 9
18 8 45 17 11 7 32 10 7 12 16 4 20 8 20 35 67 22 22 8 7
6 1 16 9 9 7 4 2 2 1 3 13 37 3 6 16 33 19 14 1 2
SECTION V: LAW ENFORCEMENT PERSONNEL 497 Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Number.) State
State/Other Agency
ALABAMA-State Agencies ................ Alabama Alcoholic Beverage Control Board Alabama Conservation Department Marine Police Alabama Department of Mental Health Alabama Public Service Commission Enforcement Division State Capitol Police ALABAMA-Other Agencies .............. 22nd Judicial Circuit Drug Task Force 24th Judicial Circuit Drug and Violent Crime Task Force City of Montgomery, Housing Authority Investigative Unit ALASKA-State Agencies .................... Alcohol Beverage Control Board ALASKA-Other Agencies................... Anchorage International Airport Fairbanks International Airport ARIZONA-State Agencies.................. Arizona State Capitol ARKANSAS-State Agencies............... Camp Robinson State Capitol Police CALIFORNIA-State Agencies ........... Atascadero State Hospital California State Fair Department of Parks and Recreation Napa State Hospital CALIFORNIA-Other Agencies.......... East Bay Regional Parks Fontana Unified School District Grant Joint Union High School Monterey Peninsula Airport Port of San Diego Harbor San Bernardino Unified School District San Francisco Bay Area Rapid Transit Stockton Unified School District COLORADO-State Agencies ............. Colorado Mental Health Institute COLORADO-Other Agencies............ Two Rivers Drug Enforcement Team CONNECTICUT-State Agencies ....... State Capitol Police DELAWARE-State Agencies.............. Attorney General:
Division of Alcohol and Tobacco Enforcement Environmental Control Fish and Wildlife Office of Narcotics and Dangerous Drugs Park Rangers River and Bay Authority State Capitol Police State Fire Marshal DELAWARE-Other Agencies ............ Amtrak Police Drug Enforcement Administration Wilmington Fire Department DISTRICT OF COLUMBIAOther Agencies ...................................... Metro Transit Police National Zoological Park FLORIDA-State Agencies................... Capitol Police Department of Environmental Protection, Division of Law Enforcement:
Unit/Office
Capital Alameda County
Contra Costa County
Kent County New Castle County Sussex County
Wilmington Resident Office
Alachua County Bay County Brevard County Broward County Charlotte County Citrus County Collier County Columbia County Duval County Escambia County Franklin County Hernando County Hillsborough County Jackson County Lake County Lee County Leon County Levy County Manatee County Marion County Martin County Miami-Dade County Monroe County Nassau County Orange County
Total law enforcement employees
Total officers
Total civilians
128 71 4
105 58 3
23 13 1
7 26 6
7 19 5
0 7 1
5
4
1
1 10 57 25 70 26 22 124 9 676 102 75 20 27 7 166 80 281 25 76 7 34 59 274 51 18 12 35 5 20 63 61 56 25 11 12
1 5 55 23 31 18 19 111 4 625 98 54 12 21 6 138 26 196 19 17 6 27 35 136 24 15 10 30 5 20 47 38 19 11 8 12
0 5 2 2 39 8 3 13 5 51 4 21 8 6 1 28 54 85 6 59 1 7 24 138 27 3 2 5 0 0 16 23 37 14 3 0
501 26 80
369 26 57
132 0 23
6 8 5 4 1 1 2 1 13 5 1 1 14 1 1 7 40 2 2 2 1 10 8 1 11
6 8 5 4 1 1 2 1 10 3 1 1 9 1 1 6 13 2 2 2 1 10 7 1 8
0 0 0 0 0 0 0 0 3 2 0 0 5 0 0 1 27 0 0 0 0 0 1 0 3
498
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
Department of Insurance:
Department of Law Enforcement:
FLORIDA-Other Agencies .................
GEORGIA-State Agencies..................
GEORGIA-Other Agencies ................
ILLINOIS-State Agencies....................
ILLINOIS-Other Agencies ..................
Florida Game Commission State Fire Marshal State Treasurer’s Office Duval County Schools Florida School for the Deaf and Blind Fort Lauderdale Airport Jacksonville Airport Authority Lee County Port Authority Melbourne International Airport Miami-Dade County Public Schools Miccosukee Tribal Palm Beach County School District Port Everglades Sarasota-Bradenton International Airport Seminole Tribal St. Petersburg-Clearwater International Airport Tampa International Airport Volusia County Beach Management Atlanta State Farmers Market Georgia Bureau of Investigation Georgia Department of Transportation Georgia Public Safety Training Center Georgia World Congress Ports Authority Augusta Board of Education Chatham County Board of Education Cobb County Board of Education Forsyth County Fire Investigation Unit Fulton County Marshal Fulton County School System Gwinnett County Public Schools Metropolitan Atlanta Rapid Transit Authority Muscogee City Marshal Stone Mountain Park Illinois Commerce Commission Illinois Department of Natural Resources Secretary of State Police Burlington Northern Santa Fe Railroad Capitol Airport Authority Chicago Fire Department Cook County Forest Preserve Crystal Lake Park District CSX Transportation Decatur Park District Du Page County Forest Preserve Elgin, Joliet and Eastern Railway John H. Stroger Hospital Lake County Forest Preserve Norfolk Southern Railway Pekin Park District Rockford Park District
Unit/Office
Palm Beach County Pinellas County Sarasota County Seminole County St. Johns County St. Lucie County Volusia County Wakulla County Walton County Broward County Duval County Escambia County Hillsborough County Lee County Miami-Dade County Orange County Palm Beach County Pinellas County Duval County, Jacksonville Escambia County, Pensacola Hillsborough County, Tampa Lee County, Fort Myers Leon County, Tallahassee Miami-Dade County, Miami Orange County, Orlando
Division of Insurance Fraud
Headquarters Office of Investigations
Savannah
District 3
Arson Investigations
Total law enforcement employees 8 3 1 3 1 2 7 1 2 20 10 9 14 6 25 14 20 10 146 78 197 83 976 183 199 824 118 18 26 18 142 45 68 13 267 63 239 166 13 211 7 157 65 17 863 3 159 65 71 39 43 40 2 74 62 24 353 18 26 14 177 228 21 4 13 106 3 20 5 29 6 53 19 52 1 17
Total officers
4 3 1 3 1 2 7 1 2 15 9 7 11 4 19 11 16 8 43 23 59 28 168 101 55 656 96 10 11 9 92 35 40 12 216 43 165 64 13 156 7 66 61 17 148 3 20 30 69 37 34 37 2 57 60 20 300 16 22 7 161 102 17 4 3 101 3 20 5 25 6 48 17 51 1 16
Total civilians
4 0 0 0 0 0 0 0 0 5 1 2 3 2 6 3 4 2 109 55 138 55 808 82 144 168 22 8 15 9 50 10 28 1 51 20 74 102 0 55 0 91 4 0 715 0 139 35 2 2 9 3 0 17 2 4 53 2 4 7 16 126 4 0 10 5 0 0 0 4 0 5 2 1 0 1
SECTION V: LAW ENFORCEMENT PERSONNEL 499 Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Number.) State
INDIANA-State Agencies ................... INDIANA-Other Agencies.................. KANSAS-State Agencies .....................
KANSAS-Other Agencies....................
State/Other Agency
Springfield Park District Will County Forest Preserve Northern Indiana Commuter Transportation District St. Joseph County Airport Authority Kansas Alcoholic Beverage Control Kansas Bureau of Investigation Kansas Department of Wildlife and Parks Kansas Lottery Security Division Kansas Racing Commission Securities Office Blue Valley School District Iowa Tribal Johnson County Park Kickapoo Tribal Metropolitan Topeka Airport Authority Shawnee Mission Public Schools Topeka Fire Department Unified School District:
Wyandotte County Parks and Recreation KENTUCKY-State Agencies............... Alcohol Beverage Control Fish and Wildlife Enforcement Kentucky Horse Park Motor Vehicle Enforcement Park Security South Central Kentucky Drug Task Force Unlawful Narcotics Investigation KENTUCKY-Other Agencies ............. Barren County Drug Task Force Buffalo Trace-Gateway Narcotics Task Force Cincinnati-Northern Kentucky International Airport Clark County School System Daniel Boone National Forest Fayette County Schools Greater Hardin County Narcotics Task Force Jefferson County Board of Education Lake Cumberland Area Drug Enforcement Task Force Lexington Bluegrass Airport Louisville Regional Airport Authority McCracken County Public Schools Nicholas County Schools Northern Kentucky Narcotics Enforcement Unit Pennyrile Narcotics Task Force LOUISIANA-State Agencies .............. Department of Public Safety Tensas Basin Levee District MAINE-State Agencies........................ Drug Enforcement Agency MARYLAND-State Agencies ............. Comptroller of the Treasury Department of Public Safety and Correctional Services General Services: Natural Resources Police Rosewood Springfield Hospital State Fire Marshal Transit Administration Transportation Authority MARYLAND-Other Agencies ........... Maryland-National Capital Park Police: MICHIGAN-Other Agencies .............. Bishop International Airport Capitol Region Airport Authority Huron-Clinton Metropolitan Authority:
Wayne County Airport MINNESOTA-State Agencies............. Capitol Security MINNESOTA-Other Agencies ........... Minneapolis-St. Paul International Airport Three Rivers Park District MISSOURI-State Agencies ................. Capitol Police Department of Conservation Division of Alcohol and Tobacco Control
Unit/Office
Security Division Investigation Section
Arson Investigation Auburn-Washburn Bluestem Goddard Maize Topeka
Treatment and Education
State Capitol Detail Lincoln County Field Enforcement Division Internal Investigations Unit Annapolis, Anne Arundel County Baltimore City
Montgomery County Prince George’s County
Hudson Mills Metropark Kensington Metropark Lower Huron Metropark Stony Creek Metropark St. Paul
Total law enforcement employees
Total officers
Total civilians
7 12 7 17 35 264 172 9 39 30 6 10 18 13 25 11 3 5 1 4 4 14 13 41 166 8 244 70 6 36 2 3
5 12 6 17 21 84 171 5 7 8 6 10 17 7 21 11 3 1 1 4 3 13 13 37 157 8 168 70 5 32 1 3
2 0 1 0 14 180 1 4 32 22 0 0 1 6 4 0 0 4 0 0 1 1 0 4 9 0 76 0 1 4 1 0
66 2 12 30 9 26
51 2 11 26 8 19
15 0 1 4 1 7
8 28 38 4 1 3 14 51 6 31 49
7 20 38 4 1 2 11 41 5 29 21
1 8 0 0 0 1 3 10 1 2 28
22 76 105 512 6 13 70 199 590 118 123 7 26 4 10 10 11 135 55 117 44 38 212 45
17 38 43 269 6 4 40 142 424 94 90 7 16 4 10 10 11 123 11 81 26 31 198 41
5 38 62 243 0 9 30 57 166 24 33 0 10 0 0 0 0 12 44 36 18 7 14 4
500
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
MISSOURI-Other Agencies................
MONTANA-State Agencies ................ NEVADA-State Agencies .................... NEVADA-Other Agencies ..................
State/Other Agency
Gaming Commission State Fire Marshal State Park Rangers State Water Patrol Bootheel Drug Task Force Clay County Drug Task Force Clay County Park Authority Jackson County Drug Task Force Jackson County Park Rangers Lambert-St. Louis International Airport St. Charles County Park Rangers St. Peters Ranger Division Gambling Investigations Bureau Taxicab Authority Clark County School District Washoe County School District
NEW HAMPSHIREState Agencies........................................ Liquor Commission NEW JERSEY-State Agencies............ Department of Human Services Human Services Hunterdon Developmental Center New Jersey Transit Police Palisades Interstate Parkway NEW JERSEY-Other Agencies .......... Park Police:
Prosecutor:
NEW MEXICO-Other Agencies ........ Acoma Tribal Laguna Tribal Zuni Tribal NEW YORK-State Agencies ............... State Park NEW YORK-Other Agencies.............. New York City Metropolitan Transportation Authority Onondaga County Parks Suffolk County Parks NORTH CAROLINAState Agencies........................................ Caswell Center Hospital Department of Human Resources Department of Wildlife Division of Alcohol Law Enforcement Dorthea Dix Hospital North Carolina Arboretum State Capitol Police State Fairgrounds State Park Rangers:
Unit/Office
Enforcement Division
Woodland Township
Camden County Morris County Union County Atlantic County Bergen County Burlington County Camden County Cape May County Cumberland County Essex County Gloucester County Hudson County Hunterdon County Mercer County Middlesex County Monmouth County Morris County Ocean County Passaic County Salem County Somerset County Sussex County Union County Warren County
Taconic Region
Carolina Beach Cliffs of the Neuse Crowders Mountain Dismal Swamp Elk Knob Eno River Falls Lake Recreation Area Fort Macon Goose Creek Gorges Hammocks Beach Hanging Rock
Total law enforcement employees
Total officers
Total civilians
112 22 51 118 6 5 7 4 16 101 12 5 24 62 190 42
110 20 50 102 6 5 7 2 14 87 12 5 21 36 150 38
2 2 1 16 0 0 0 2 2 14 0 0 3 26 40 4
35 141 4 7 261 25 21 34 368 167 252 148 246 75 96 443 95 223 56 165 202 274 155 170 224 45 118 52 251 57 19 40 27 17
21 133 4 7 194 23 20 33 319 72 170 86 165 33 33 305 35 99 23 105 81 79 69 77 93 17 50 33 78 18 13 20 16 15
14 8 0 0 67 2 1 1 49 95 82 62 81 42 63 138 60 124 33 60 121 195 86 93 131 28 68 19 173 39 6 20 11 2
726 1 43
676 1 40
50 0 3
4 11 231 133 14 4 75 5 5 3 8 6 5 10 20 6 2 3 5 8
4 9 209 113 6 4 57 1 3 2 6 2 3 6 18 5 2 3 4 6
0 2 22 20 8 0 18 4 2 1 2 4 2 4 2 1 0 0 1 2
SECTION V: LAW ENFORCEMENT PERSONNEL 501 Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
Unit/Office
Jockey’s Ridge Jones Lake Jordan Lake State Recreation Area Kerr Lake Lake James Lake Norman Lake Waccamaw Lumber River Medoc Mountain Merchants Millpond Morrow Mountain Mt. Mitchell New River-Mount Jefferson Pettigrew Pilot Mountain Raven Rock Singletary Lake South Mountains Stone Mountain Weymouth Woods Sandhills Nature Preserve NORTH CAROLINAOther Agencies ......................................
OHIO-State Agencies........................... OHIO-Other Agencies .........................
OKLAHOMA-State Agencies ............ OKLAHOMA-Other Agencies...........
OREGON-State Agencies ...................
OREGON-Other Agencies.................. PENNSYLVANIAState Agencies........................................
Asheville Regional Airport Durham County Alcohol Beverage Control Law Enforcement Office Nash County Alcohol Beverage Control Enforcement Piedmont Triad International Airport Raleigh-Durham International Airport Triad Alcohol Beverage Control Law Enforcement Wilmington International Airport Ohio Department of Natural Resources Cleveland Lakefront State Parks Butler County Metroparks Cedar Point Cleveland Metropolitan Park District Columbus and Franklin County Metropolitan Park District Delaware County Preservation Parks Greater Cleveland Regional Transit Authority Hamilton County Park District Johnny Appleseed Metropolitan Park District Lake Metroparks Lorain County Metropolitan Park District Port Columbus International Airport Sandusky County Park District Toledo-Lucas County Port Authority Toledo Metropolitan Park District Wood County Park District Capitol Park Police Jenks Public Schools Madill Public Schools McAlester Public Schools Norman Public Schools Putnam City Campus Liquor Commission:
Benton County Clatsop County Coos County Douglas County Jackson County Klamath County Lane County Lincoln County Malheur County Marion County Multnomah County Umatilla County Washington County
Port of Portland Bureau of Forestry:
Beaver County Bedford County Berks County Blair County Bradford County
Total law enforcement employees
Total officers
Total civilians
7 8 18 14 5 8 5 5 2 4 8 5 9 3 8 4 5 13 7
4 5 14 12 2 4 1 5 2 4 5 3 7 3 4 3 2 7 7
3 3 4 2 3 4 4 0 0 0 3 2 2 0 4 1 3 6 0
4
3
1
17
12
5
3
3
0
2 27 33
2 19 30
0 8 3
7 14 459 15 3 12 82
6 10 350 15 3 12 71
1 4 109 0 0 0 11
31 5 103 34 8 14 14 61 5 11 25 6 66 7 1 2 4 12 1 2 2 2 7 1 5 2 1 5 22 2 2 66
31 5 89 31 8 12 14 44 5 11 25 6 32 6 1 2 4 8 1 1 1 1 6 1 4 1 1 4 19 2 2 53
0 0 14 3 0 2 0 17 0 0 0 0 34 1 0 0 0 4 0 1 1 1 1 0 1 1 0 1 3 0 0 13
1 1 1 1 1
1 1 1 1 1
0 0 0 0 0
502
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
Bureau of Narcotics:
Department of Environmental Resources State Capitol Police State Park Police PENNSYLVANIAOther Agencies ...................................... Allegheny County District Attorney Allegheny County Port Authority Altoona Hospital Bangor Area School District Canadian Pacific Railway County Detective:
Delaware County District Attorney Delaware County Park Erie City School District Harrisburg International Airport Tyrone Area School District Uniontown Hospital Washington County Alternative Education Westmoreland County Park Wilkes-Barre Area School District RHODE ISLANDState Agencies........................................ SOUTH CAROLINAState Agencies........................................
Department of Environmental Management Bureau of Protective Services Department of Mental Health
Unit/Office
Bucks County Cambria County Carbon County Centre County Chester County Clarion County Clearfield County Clinton County Cumberland County Dauphin County Elk County Fayette County Franklin County Fulton County Huntingdon County Indiana County Jefferson County Lackawanna County Lancaster County Lehigh County Luzerne County Mckean County Northampton County Northumberland County Perry County Pike County Potter County Schuylkill County Somerset County Susquehanna County Wayne County York County Adams County Chester County Delaware County Erie County Forest County Lehigh County Luzerne County Philadelphia County Westmoreland County
Pymatuning Criminal Investigation Division
Berks County Bucks County Butler County Chester County Dauphin County Lebanon County Lehigh County Pike County Schuylkill County Westmoreland County York County Criminal Investigation Division
Total law enforcement employees
Total officers
Total civilians
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 17 28 28 15 13 18 19 28 30 12 141 3
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 14 2 2 12 11 15 15 2 23 5 132 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 26 26 3 2 3 4 26 7 7 9 0
27 56 19 3 2 34 20 3 24 13 7 14 2 7 57 11 38 60 2 25 1 11 1 21 4
24 41 18 3 2 34 16 3 21 10 6 13 2 7 15 10 32 59 2 14 1 11 1 21 4
3 15 1 0 0 0 4 0 3 3 1 1 0 0 42 1 6 1 0 11 0 0 0 0 0
43
35
8
77 115
71 70
6 45
SECTION V: LAW ENFORCEMENT PERSONNEL 503 Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
Department of Natural Resources:
Employment Security Commission Forestry Commission:
South Carolina School for the Deaf and Blind State Museum State Ports Authority State Transport Police:
Unit/Office
Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Chesterfield County Colleton County Darlington County Fairfield County Florence County Greenville County Hampton County Horry County Kershaw County Lexington County Oconee County Orangeburg County Pickens County Richland County Sumter County Williamsburg County
Abbeville County Aiken County Allendale County Anderson County
Total law enforcement employees
Total officers
3 4 3 4 3 4 8 8 3 27 4 3 3 6 6 4 2 6 3 3 4 9 4 5 4 9 3 5 3 4 2 4 3 4 5 5 5 5 5 32 4 5 4 3 6 4 4 1 1 1 1 1 1 3 1 1 1 1 2 2 2 3 2 1 1 2 1 3 2 1 4 81 12 49 11 19
3 4 3 4 3 4 8 8 3 27 4 3 3 6 6 4 2 6 3 3 4 9 4 5 4 9 3 5 3 4 2 4 3 4 5 5 5 5 5 32 4 5 4 3 6 4 4 1 1 1 1 1 1 3 1 1 1 1 2 2 2 3 2 1 1 2 1 3 2 1 3 39 12 31 11 16
Total civilians
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 42 0 18 0 3
504
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
United States Department of Energy SOUTH CAROLINAOther Agencies ...................................... Charleston County Aviation Authority Columbia Metropolitan Airport Greenville-Spartanburg International Airport Whitten Center SOUTH DAKOTAState Agencies........................................ Division of Criminal Investigation TENNESSEE-State Agencies.............. Alcoholic Beverage Commission Department of Correction State Fire Marshal State Park Rangers:
TennCare Office of Inspector General Tennessee Bureau of Investigation Tennessee Department of Revenue Wildlife Resources Agency:
TENNESSEE-Other Agencies ............ Chattanooga Metropolitan Airport Dickson Parks and Recreation Drug Task Force:
Unit/Office
Berkeley County Cherokee County Darlington County Savannah River Plant
Internal Affairs Bicentennial Capitol Mall Big Hill Pond Big Ridge Bledsoe Creek Booker T. Washington Burgess Falls Natural Area Cedars of Lebanon Chickasaw Cove Lake Cumberland Mountain Cumberland Trail David Crockett David Crockett Birthplace Dunbar Cave Natural Area Edgar Evins Fall Creek Falls Fort Loudon State Historic Park Fort Pillow State Historic Park Frozen Head Natural Area Harpeth Scenic Rivers Harrison Bay Henry Horton Hiwassee/Ocoee State Scenic Rivers Indian Mountain Johnsonville State Historic Park Long Hunter Meeman-Shelby Forest Montgomery Bell Mousetail Landing Natchez Trace Nathan Bedford Forrest Norris Dam Old Stone Fort State Archaeological Area Panther Creek Paris Landing Pickett Pickwick Landing Pinson Mounds State Archaeological Park Radnor Lake Natural Area Red Clay State Historic Park Reelfoot Lake Roan Mountain Rock Island Sgt. Alvin C. York South Cumberland Recreation Area Standing Stone Sycamore Shoals State Historic Park Tim’s Ford T.O. Fuller Warrior’s Path
Special Investigations Unit Region 1 Region 2 Region 3 Region 4
3rd Judicial District 4th Judicial District 5th Judicial District
Total law enforcement employees
Total officers
Total civilians
18 11 13 59
15 11 13 47
3 0 0 12
40 25 21 2
29 20 16 2
11 5 5 0
144 61 13 30 7 5 9 2 3 2 4 4 13 4 5 4 3 4 4 8 5 2 6 3 5 4 8 2 1 3 6 4 3 5 3 4 4 3 6 4 5 2 8 2 4 4 4 1 6 4 2 4 3 4 59 474 54 40 63 43 45 10 8 7 2 5
44 36 9 25 5 3 4 2 3 2 4 4 4 4 5 4 3 3 4 8 4 2 3 3 5 4 6 2 1 3 6 4 3 5 3 4 4 3 6 4 5 2 6 2 4 4 4 1 6 4 2 4 3 4 17 181 30 40 56 43 45 10 3 6 1 4
100 25 4 5 2 2 5 0 0 0 0 0 9 0 0 0 0 1 0 0 1 0 3 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 42 293 24 0 7 0 0 0 5 1 1 1
SECTION V: LAW ENFORCEMENT PERSONNEL 505 Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
Unit/Office
8th Judicial District 9th Judicial District 10th Judicial District 12th Judicial District 13th Judicial District 14th Judicial District 17th Judicial District 18th Judicial District 19th Judicial District 21st Judicial District 22nd Judicial District 23rd Judicial District 25th Judicial District Knoxville Metropolitan Airport Memphis International Airport Metropolitan Board of Parks and Recreation Nashville International Airport Smyrna/Rutherford County Airport Authority Tri-Cities Regional Airport West Tennessee Violent Crime Task Force TEXAS-Other Agencies....................... Amarillo International Airport Cameron County Park Rangers Dallas-Fort Worth International Airport Hospital District: Houston Metropolitan Transit Authority Independent School District:
UTAH-State Agencies .......................... UTAH-Other Agencies.........................
VERMONT-State Agencies.................
VIRGINIA-State Agencies..................
VIRGINIA-Other Agencies ................
Parks and Recreation Wildlife Resources Granite School District Utah County Attorney Utah County Major Crime Task Force Utah Transit Authority Attorney General Department of Liquor Control Department of Motor Vehicles Fish and Wildlife Department Alcoholic Beverage Control Commission Department of Conservation and Recreation Southside Virginia Training Center Virginia State Capitol Chesapeake Bay Bridge-Tunnel Norfolk Airport Authority Port Authority Reagan National Airport Richmond International Airport
Nashville-Davidson
Dallas County Tarrant County Aldine Alvin Angleton Austin Bay City Brownsville Cedar Hill Conroe Corpus Christi East Central Ector County El Paso Fort Bend Hempstead Humble Judson Katy Kaufman Killeen Klein Laredo Mexia Midland North East Pasadena Raymondville Socorro Spring Spring Branch Taft Tyler United
Investigations Division
Division of Enforcement and Licensing Law Enforcement Division
Norfolk
Total law enforcement employees 2 1 14 3 2 2 6 8 6 12 3 8 1 43 62 26 95 4 17 7 15 11 369 77 53 267 45 22 4 100 6 124 16 60 54 10 30 48 58 3 27 22 41 5 12 43 106 3 19 58 38 4 80 40 36 2 18 154 83 71 40 7 1 20 6 22 43 42 170 259 21 88 77 44 88 236 32
Total officers
1 1 12 2 1 2 5 7 5 10 3 7 1 27 49 25 67 4 16 6 15 11 253 49 35 205 41 16 3 67 5 28 7 46 32 8 28 40 49 3 21 20 33 4 12 26 24 3 10 52 31 4 28 38 28 2 13 53 82 64 17 5 1 20 4 18 33 40 131 112 17 74 38 37 81 172 32
Total civilians
1 0 2 1 1 0 1 1 1 2 0 1 0 16 13 1 28 0 1 1 0 0 116 28 18 62 4 6 1 33 1 96 9 14 22 2 2 8 9 0 6 2 8 1 0 17 82 0 9 6 7 0 52 2 8 0 5 101 1 7 23 2 0 0 2 4 10 2 39 147 4 14 39 7 7 64 0
506
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 81. Full-Time Law Enforcement Employees, by State and Other Agencies, 2007 (Contd.) (Number.) State
State/Other Agency
WASHINGTON-Other Agencies ....... Colville Tribal Lummi Tribal Nisqually Tribal Nooksack Tribal Port of Seattle Skokomish Tribal Swinomish Tribal WEST VIRGINIAState Agencies........................................ Capitol Protective Services Department of Natural Resources:
State Fire Marshal WEST VIRGINIAOther Agencies ...................................... Kanawha County Parks and Recreation WISCONSIN-State Agencies .............. Capitol Police Department of Natural Resources WISCONSIN-Other Agencies............. Lac du Flambeau Tribal Menominee Tribal Oneida Tribal PUERTO RICO AND OTHER OUTLYING AREAS ........... Guam Puerto Rico FEDERAL AGENCY.......................... National Institutes of Health
Unit/Office
Barbour County Berkeley County Boone County Braxton County Brooke County Cabell County Calhoun County Clay County Doddridge County Fayette County Gilmer County Grant County Greenbrier County Hampshire County Hancock County Hardy County Harrison County Jackson County Jefferson County Kanawha County Lewis County Lincoln County Logan County Marion County Marshall County Mason County McDowell County Mercer County Mineral County Mingo County Monongalia County Monroe County Morgan County Nicholas County Ohio County Pendleton County Pleasants County Pocahontas County Preston County Putnam County Raleigh County Randolph County Ritchie County Roane County Summers County Taylor County Tucker County Tyler County Upshur County Wayne County Webster County Wetzel County Wirt County Wood County Wyoming County Kanawha County
Total law enforcement employees
Total officers
Total civilians
37 20 12 7 124 10 13
25 18 9 6 100 9 11
12 2 3 1 24 1 2
28 1 2 1 3 1 1 1 2 1 2 1 1 2 5 1 1 3 1 1 14 2 2 2 6 1 1 1 2 2 1 1 1 1 2 1 3 1 2 2 6 6 5 1 1 4 1 2 1 3 2 3 1 1 7 2 41
22 1 2 1 3 1 1 1 2 1 2 1 1 2 4 1 1 3 1 1 10 2 2 2 5 1 1 1 2 2 1 1 1 1 2 1 3 1 2 2 5 6 4 1 1 3 1 2 1 3 2 3 1 1 6 2 32
6 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 9
5 46 221 11 39 21
5 41 192 9 21 20
0 5 29 2 18 1
375 18,697 104
309 17,007 83
66 1,690 21
SECTION VI:
HATE CRIMES
SECTION VI: HATE CRIMES 509
HATE CRIMES Figure 6-1. Percent Distribution of Single-Bias Hate Crime Incidents, 2007
Disability bias 1.0% Ethnicity/national origin bias 13.2%
Sexual orientation bias 16.6%
Racially motivated 50.8%
Religious bias 18.4%
The Federal Bureau of Investigation (FBI) began the procedures for implementing, collecting, and managing hate crime data after Congress passed the Hate Crime Statistics Act in 1990 which required the collection of data “about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity.” In 1994, the Hate Crime Statistics Act was amended to include bias against persons with disabilities.
more than one offense type occurs and at least two offense types are motivated by different biases.
Hate crimes include any crime motivated by bias against race, religion, sexual orientation, ethnicity/national origin, and/or disability. Because motivation is subjective, it is sometimes difficult to know with certainty whether a crime resulted from the offender’s bias. Moreover, the presence of bias alone does not necessarily mean that a crime can be considered a hate crime. Only when law enforcement investigation reveals sufficient evidence to lead a reasonable and prudent person to conclude that the offender’s actions were motivated, in whole or in part, by his or her bias, should an incident be reported as a hate crime.
Agencies that participated in the Hate Crime program in 2007 represented over 260 million inhabitants, or 86.3 percent of the Nation’s population, and their jurisdictions covered 49 states and the District of Columbia. The law enforcement agencies that voluntarily participate in the Hate Crime program collect details about an offender’s bias motivation associated with 11 offense types already being reported to the UCR Program: murder and nonnegligent manslaughter, forcible rape, aggravated assault, simple assault, and intimidation (crimes against persons); and robbery, burglary, larceny-theft, motor vehicle theft, arson, and destruction/damage/vandalism (crimes against property). The law enforcement agencies that participate in the UCR Program via the National Incident-Based Reporting System (NIBRS) collect data about additional offenses for crimes against persons and crimes against property. These data appear in the category of other. These agencies also collect hate crime data for the category called crimes against society, which includes drug or narcotic offenses, gambling offenses, prostitution offenses, and weapon law violations.
Data Collection
National Volume and Percent Distribution
The UCR (Uniform Crime Reporting) Program collects data about both single-bias and multiple-bias hate crimes. A single-bias incident is defined as an incident in which one or more offense types are motivated by the same bias. A multiple-bias incident is defined as an incident in which
In 2007, 2,025 law enforcement agencies reported 7,624 hate crime incidents involving 9,006 offenses. Of these, 7,621 were single-bias offenses. An analysis of the single-bias incidents revealed 50.8 percent were racially motivated, 18.4 percent were motivated by religious bias, 16.6 percent resulted from
Definition
510
CRIME IN THE UNITED STATES (BERNAN PRESS)
sexual-orientation bias, 13.2 percent were based on an ethnicity/national origin bias and 1.0 percent were prompted by a disability bias. (Table 82) The majority of the hate crime offenses that were racially motivated resulted from an anti-Black bias (69.3 percent) followed by an anti-White basis (18.4 percent). Bias against people of more than one race accounted for 6.0 percent of offenses while an anti-Asian/Pacific Islander bias accounted for 4.6 percent of racially motivated offenses. (Table 82) Hate crimes motivated by religious bias accounted for 1,477 offenses reported by law enforcement. A breakdown of these offenses revealed 68.4 percent were motivated by an anti-Jewish bias, 9.0 percent by an anti-Islamic bias, 4.4 percent an anti-Catholic bias, 4.3 percent were anti-multiple religions or groups, 4.0 percent were anti-Protestant, 0.4 percent were anti-Atheism and the remainder of offenses were based on a bias against other religions. (Table 82) Nearly as many hate crimes were motivated by sexualorientation as were motivated by religion in 2007. Of the 1,460 offenses based on sexual–orientation, 59.2 percent were classified as having an anti-male homosexual bias, 24.8 percent had an anti-homosexual bias, 12.6 percent had an anti-female homosexual basis, 1.8 percent had an anti-heterosexual bias and 1.6 percent had an anti-bisexual bias. (Table 82)
The vast majority of 1,256 offenses that were committed on the perceived ethnicity or national origin of the victim had an anti-Hispanic basis (61.7 percent). The remaining 38.3 percent were based on a bias against another ethnicity or national origin. (Table 82) Other hate crimes offenses were committed based on a disability basis. Over 75 percent were classified as anti-mental disability, with the rest being classified as anti-physical disability. (Table 82) Crimes Against Persons Law enforcement agencies reported 5,408 hate crimes against persons in 2007. Nearly half of them (47.4 percent) involved intimidation, 31.1 percent involved simple assault, and 20.6 percent involved aggravated assault. In addition, there were 9 murders and 2 forcible rapes. (Table 83) Crimes Against Property In 2007, there were 3,579 hate crimes against property. Over 81 percent of offenses involved destruction/damage or vandalism. The remaining 18.6 percent of crimes against property consisted of robbery, burglary, larceny-theft, motor vehicle theft, arson, and other crimes. (Table 83)
Figure 6-2. Hate Crimes by Type of Victim, Property Crimes, 2007 Religious Organizations 6.8% Government 7.4%
Businesses or financial institutions 11.5%
Other, unknown, or multiple victims 20.6%
Individuals 53.7%
SECTION VI: HATE CRIMES 511 Table 82. Incidents, Offenses, Victims, and Known Offenders, by Bias Motivation, 2007 (Number.) Bias motivation
Incidents
TOTAL ....................................................................................... Single-Bias Incidents ................................................................. Race:........................................................................................ Anti-White.......................................................................... Anti-Black .......................................................................... Anti-American Indian/Alaskan Native .......................... Anti-Asian/Pacific Islander .............................................. Anti-Multiple Races, Group............................................. Religion:.................................................................................. Anti-Jewish......................................................................... Anti-Catholic ..................................................................... Anti-Protestant .................................................................. Anti-Islamic........................................................................ Anti-Other Religion.......................................................... Anti-Multiple Religions, Group....................................... Anti-Atheism/Agnosticism/etc. ....................................... Sexual Orientation:................................................................ Anti-Male Homosexual .................................................... Anti-Female Homosexual ................................................ Anti-Homosexual .............................................................. Anti-Heterosexual............................................................. Anti-Bisexual ..................................................................... Ethnicity/National Origin: .................................................... Anti-Hispanic..................................................................... Anti-Other Ethnicity/National Origin ............................ Disability:................................................................................ Anti-Physical ...................................................................... Anti-Mental........................................................................ Multiple-Bias Incidents3 ...........................................................
Victims1
Offenses 7,624 7,621 3,870 749 2,658 61 188 214 1,400 969 61 57 115 130 62 6 1,265 772 145 304 22 22 1,007 595 412 79 20 59 3
9,006 8,999 4,724 871 3,275 75 219 284 1,477 1,010 65 59 133 140 64 6 1,460 864 184 362 27 23 1,256 775 481 82 20 62 7
Known offenders2 9,535 9,527 4,956 908 3,434 76 234 304 1,628 1,127 70 67 142 148 66 8 1,512 890 197 375 27 23 1,347 830 517 84 20 64 8
6,965 6,962 3,707 828 2,509 63 165 142 576 320 31 22 104 62 32 5 1,454 923 147 349 19 16 1,155 758 397 70 27 43 3
1The
term victim may refer to a person, business, institution, or society as a whole. term known offender does not imply that the identity of the suspect is known, but only that an attribute of the suspect has been identified, which distinguishes him/her from an unknown offender. 3In a multiple-bias incident, two conditions must be met: (a) more than one offense type must occur in the incident and (b) at least two offense types must be motivated by different biases. 2The
Table 83. Incidents, Offenses, Victims, and Known Offenders, by Offense Type, 2007 (Number.) Offense type TOTAL ....................................................................................... Crimes against persons: ............................................................ Murder and nonnegligent manslaughter ............................ Forcible rape .......................................................................... Aggravated assault ................................................................ Simple assault......................................................................... Intimidation............................................................................ Other4 ...................................................................................... Crimes against property:........................................................... Robbery .................................................................................. Burglary .................................................................................. Larceny-theft.......................................................................... Motor vehicle theft ................................................................ Arson....................................................................................... Destruction/damage/vandalism............................................ Other4 ...................................................................................... Crimes against society4 .............................................................
Incidents1
Victims2
Offenses 7,624 4,347 9 2 853 1,410 2,045 28 3,579 178 159 221 22 40 2,915 44 19
9,006 5,408 9 2 1,116 1,684 2,565 32 3,579 178 159 221 22 40 2,915 44 19
Known offenders3 9,535 5,408 9 2 1,116 1,684 2,565 32 4,108 236 193 230 27 47 3,328 47 19
6,965 5,542 14 4 1,409 2,052 2,026 37 1,826 392 130 126 4 33 1,108 33 25
1The actual number of incidents is 7,624. However, the column figures will not add to the total because incidentsmay include more than one offense type, and these are counted in each appropriate offense type category. 2The term victim may refer to a person, business, institution, or society as a whole. 3The term known offender does not imply that the identity of the suspect is known, but only that an attribute of the suspect has been identified, which distinguishes him/her from an unknown offender. The actual number of known offenders is 6,965. However, the column figures will not add to the total because some offenders are responsible for more than one offense type, and they are, therefore, counted more than once in this table. 4Includes additional offenses collected in the NIBRS.
512
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 84. Known Offender’s Race, by Offense Type, 2007 (Number.) Known offender’s race Offense type
TOTAL............................................................................................. Crimes against persons:.................................................................. Murder and nonnegligent manslaughter.................................. Forcible rape................................................................................ Aggravated assault...................................................................... Simple assault .............................................................................. Intimidation ................................................................................. Other1 ........................................................................................... Crimes against property: ................................................................ Robbery ....................................................................................... Burglary ....................................................................................... Larceny-theft ............................................................................... Motor vehicle theft ..................................................................... Arson ............................................................................................ Destruction/damage/vandalism................................................. Other1 ........................................................................................... Crimes against society1 ................................................................... 1Includes
additional offenses collected in the NIBRS.
Total offenses
9,006 5,408 9 2 1,116 1,684 2,565 32 3,579 178 159 221 22 40 2,915 44 19
White
3,802 3,191 6 1 752 974 1,438 20 602 64 45 43 1 13 417 19 9
Black
1,045 844 3 1 212 388 235 5 197 85 12 29 1 4 61 5 4
American Indian/ Alaskan Native 75 65 0 0 14 30 21 0 10 3 0 0 1 0 5 1 0
Asian/Pacific Islander
41 33 0 0 11 15 7 0 7 2 0 0 0 0 4 1 1
Multiple races, group
194 172 0 0 45 84 42 1 21 6 1 2 0 0 12 0 1
Unknown race
600 291 0 0 32 69 188 2 307 2 14 24 1 3 260 3 2
Unknown offender
3,249 812 0 0 50 124 634 4 2,435 16 87 123 18 20 2,156 15 2
SECTION VI: HATE CRIMES 513 Table 85. Number of Offenses and Offense Type, by Bias Motivation, 2007 (Number.) Crimes against persons Bias motivation
Total offenses
TOTAL....................................................................... Single-Bias Incidents ................................................ Race: ....................................................................... Anti-White......................................................... Anti-Black ......................................................... Anti-American Indian/Alaskan Native.......... Anti-Asian/Pacific Islander ............................. Anti-Multiple Races, Group ............................ Religion: ................................................................. Anti-Jewish ........................................................ Anti-Catholic..................................................... Anti-Protestant ................................................. Anti-Islamic ....................................................... Anti-Other Religion ......................................... Anti-Multiple Religions, Group ...................... Anti-Atheism/Agnosticism/etc........................ Sexual Orientation:............................................... Anti-Male Homosexual.................................... Anti-Female Homosexual................................ Anti-Homosexual ............................................. Anti-Heterosexual ............................................ Anti-Bisexual..................................................... Ethnicity/National Origin: ................................... Anti-Hispanic .................................................... Anti-Other Ethnicity/National Origin ........... Disability: ............................................................... Anti-Physical ..................................................... Anti-Mental ....................................................... Multiple-Bias Incidents2 ...........................................
Murder and nonnegligent manslaughter
9,006 8,999 4,724 871 3,275 75 219 284 1,477 1,010 65 59 133 140 64 6 1,460 864 184 362 27 23 1,256 775 481 82 20 62 7
Forcible rape 9 9 2 0 1 0 0 1 0 0 0 0 0 0 0 0 5 4 0 1 0 0 2 2 0 0 0 0 0
Aggravated assault 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0
Other1
Simple assault
1,116 1,116 623 107 450 9 19 38 44 16 0 4 12 10 1 1 242 142 37 61 1 1 203 147 56 4 2 2 0
Intimidation
1,684 1,683 845 246 518 18 33 30 82 42 7 5 21 5 2 0 448 280 48 104 7 9 292 172 120 16 7 9 1
2,565 2,561 1,546 190 1,186 22 79 69 290 201 4 3 51 24 7 0 335 203 47 74 8 3 375 247 128 15 7 8 4
32 32 14 8 6 0 0 0 5 4 0 0 0 0 1 0 9 6 0 1 2 0 2 2 0 2 0 2 0
Crimes against property Bias motivation Robbery
TOTAL....................................................................... Single-Bias Incidents ................................................ Race: ....................................................................... Anti-White......................................................... Anti-Black ......................................................... Anti-American Indian/Alaskan Native.......... Anti-Asian/Pacific Islander ............................. Anti-Multiple Races, Group ............................ Religion: ................................................................. Anti-Jewish ........................................................ Anti-Catholic..................................................... Anti-Protestant ................................................. Anti-Islamic ....................................................... Anti-Other Religion ......................................... Anti-Multiple Religions, Group ...................... Anti-Atheism/Agnosticism/etc........................ Sexual Orientation:............................................... Anti-Male Homosexual.................................... Anti-Female Homosexual................................ Anti-Homosexual ............................................. Anti-Heterosexual ............................................ Anti-Bisexual..................................................... Ethnicity/National Origin: ................................... Anti-Hispanic .................................................... Anti-Other Ethnicity/National Origin ........... Disability: ............................................................... Anti-Physical ..................................................... Anti-Mental ....................................................... Multiple-Bias Incidents2 ........................................... 1Includes 2In
178 178 67 39 21 0 6 1 3 1 0 0 1 0 0 1 53 37 2 14 0 0 53 43 10 2 0 2 0
Burglary
159 159 75 25 41 1 5 3 36 17 4 2 4 6 3 0 16 4 4 3 4 1 28 19 9 4 0 4 0
Larceny-theft
221 221 120 76 26 10 5 3 33 6 10 4 3 3 7 0 23 9 3 6 1 4 24 11 13 21 2 19 0
Motor vehicle theft
Destruction/ damage/ vandalism
Arson
22 22 16 4 6 4 1 1 1 0 0 0 0 0 1 0 2 0 1 0 0 1 3 1 2 0 0 0 0
40 40 28 3 20 2 0 3 3 1 1 0 0 1 0 0 3 2 0 1 0 0 6 1 5 0 0 0 0
2,915 2,913 1,361 155 992 9 71 134 972 718 38 41 41 88 42 4 314 173 41 93 3 4 257 123 134 9 1 8 2
Crimes against society1
Other1
44 44 19 15 4 0 0 0 6 4 1 0 0 1 0 0 7 2 1 3 1 0 6 3 3 6 1 5 0
additional offenses collected in the NIBRS. a multiple-bias incident, two conditions must be met: (a) more than one offense type must occur in the incident and (b) at least two offense types must be motivated by different biases.
19 19 7 2 4 0 0 1 2 0 0 0 0 2 0 0 3 2 0 1 0 0 5 4 1 2 0 2 0
514
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 86. Known Offender’s Race, by Bias Motivation, 2007 (Number.) Known offender’s race Total offenses
Bias motivation
TOTAL............................................................................................. Single-Bias Incidents ...................................................................... Race: ................................................................................................. Anti-White....................................................................................... Anti-Black ....................................................................................... Anti-American Indian/Alaskan Native........................................ Anti-Asian/Pacific Islander ........................................................... Anti-Multiple Races, Group .......................................................... Religion: ........................................................................................... Anti-Jewish ...................................................................................... Anti-Catholic................................................................................... Anti-Protestant ............................................................................... Anti-Islamic ..................................................................................... Anti-Other Religion ....................................................................... Anti-Multiple Religions, Group .................................................... Anti-Atheism/Agnosticism/etc...................................................... Sexual Orientation:......................................................................... Anti-Male Homosexual.................................................................. Anti-Female Homosexual.............................................................. Anti-Homosexual ........................................................................... Anti-Heterosexual .......................................................................... Anti-Bisexual................................................................................... Ethnicity/National Origin: ............................................................. Anti-Hispanic .................................................................................. Anti-Other Ethnicity/National Origin ......................................... Disability: ......................................................................................... Anti-Physical ................................................................................... Anti-Mental ..................................................................................... Multiple-Bias Incidents1 ................................................................. 1In
White
9,006 8,999 4,724 871 3,275 75 219 284 1,477 1,010 65 59 133 140 64 6 1,460 864 184 362 27 23 1,256 775 481 82 20 62 7
3,802 3,799 2,171 161 1,771 44 91 104 295 163 10 12 61 37 10 2 666 409 72 170 9 6 638 405 233 29 11 18 3
American Indian/ Alaskan Native
Black
1,045 1,045 500 394 79 3 18 6 52 17 2 3 16 7 6 1 268 153 51 58 2 4 212 157 55 13 5 8 0
Asian/Pacific Islander
75 75 55 22 21 7 1 4 3 0 1 1 1 0 0 0 9 6 1 2 0 0 6 3 3 2 0 2 0
Multipleraces, group
41 41 19 6 10 0 3 0 6 3 0 0 0 3 0 0 10 9 1 0 0 0 6 2 4 0 0 0 0
Unknown race
194 192 118 21 67 0 11 19 7 3 2 0 1 0 1 0 52 25 4 17 5 1 14 9 5 1 0 1 2
Unknown offender
600 600 316 47 234 4 13 18 105 68 8 4 10 10 4 1 92 56 11 23 0 2 83 38 45 4 1 3 0
3,249 3,247 1,545 220 1,093 17 82 133 1,009 756 42 39 44 83 43 2 363 206 44 92 11 10 297 161 136 33 3 30 2
a multiple-bias incident, two conditions must be met: (a) more than one offense type must occur in the incident and (b) at least two offense types must be motivated by different biases.
Table 87. Victim Type, by Offense Type, 2007 (Number.) Victim type Offense type
Total offenses
TOTAL....................................................................... Crimes against persons2 ........................................... Crimes against property: .......................................... Robbery ................................................................. Burglary ................................................................. Larceny-theft ............................................................. Motor vehicle theft ............................................... Arson ...................................................................... Destruction/damage/vandalism........................... Other2 ..................................................................... Crimes against society2 ............................................. 1The
victim type society/public is collected only in the NIBRS. additional offenses collected in the NIBRS.
2Includes
9,006 5,408 3,579 178 159 221 22 40 2,915 44 19
Individual
7,330 5,408 1,922 171 103 151 22 27 1,416 32 -
Business/ financial institution
Government
410 410 2 23 58 0 3 315 9 -
264 264 0 8 1 0 3 251 1 -
Religious organization 245 245 0 9 4 0 3 229 0 -
Other/ unknown/ multiple
Society/ public1 19 0 0 0 0 0 0 0 0 19
738 738 5 16 7 0 4 704 2 -
SECTION VI: HATE CRIMES 515 Table 88. Number of Victims and Offense Type, by Bias Motivation, 2007 (Number.) Crimes against persons Bias motivation
Total offenses
TOTAL....................................................................... Single-Bias Incidents ................................................ Race: ....................................................................... Anti-White......................................................... Anti-Black ......................................................... Anti-American Indian/Alaskan Native.......... Anti-Asian/Pacific Islander ............................. Anti-Multiple Races, Group ............................ Religion: ................................................................. Anti-Jewish ........................................................ Anti-Catholic..................................................... Anti-Protestant ................................................. Anti-Islamic ....................................................... Anti-Other Religion ......................................... Anti-Multiple Religions, Group ...................... Anti-Atheism/Agnosticism/etc........................ Sexual Orientation:............................................... Anti-Male Homosexual.................................... Anti-Female Homosexual................................ Anti-Homosexual ............................................. Anti-Heterosexual ............................................ Anti-Bisexual..................................................... Ethnicity/National Origin: ................................... Anti-Hispanic .................................................... Anti-Other Ethnicity/National Origin ........... Disability: ............................................................... Anti-Physical ..................................................... Anti-Mental ....................................................... Multiple-Bias Incidents2 ...........................................
Murder and nonnegligent manslaughter
9,535 9,527 4,956 908 3,434 76 234 304 1,628 1,127 70 67 142 148 66 8 1,512 890 197 375 27 23 1,347 830 517 84 20 64 8
Forcible rape 9 9 2 0 1 0 0 1 0 0 0 0 0 0 0 0 5 4 0 1 0 0 2 2 0 0 0 0 0
Aggravated assault 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0
Simple assault
1,116 1,116 623 107 450 9 19 38 44 16 0 4 12 10 1 1 242 142 37 61 1 1 203 147 56 4 2 2 0
Other1
Intimidation
1,684 1,683 845 246 518 18 33 30 82 42 7 5 21 5 2 0 448 280 48 104 7 9 292 172 120 16 7 9 1
2,565 2,561 1,546 190 1,186 22 79 69 290 201 4 3 51 24 7 0 335 203 47 74 8 3 375 247 128 15 7 8 4
32 32 19 8 6 0 0 0 5 4 0 0 0 0 1 0 9 6 0 1 2 0 2 2 0 2 0 2 0
Crimes against property Bias motivation Robbery
TOTAL....................................................................... Single-Bias Incidents ................................................ Race: ....................................................................... Anti-White......................................................... Anti-Black ......................................................... Anti-American Indian/Alaskan Native.......... Anti-Asian/Pacific Islander ............................. Anti-Multiple Races, Group ............................ Religion: ................................................................. Anti-Jewish ........................................................ Anti-Catholic..................................................... Anti-Protestant ................................................. Anti-Islamic ....................................................... Anti-Other Religion ......................................... Anti-Multiple Religions, Group ...................... Anti-Atheism/Agnosticism/etc........................ Sexual Orientation:............................................... Anti-Male Homosexual.................................... Anti-Female Homosexual................................ Anti-Homosexual ............................................. Anti-Heterosexual ............................................ Anti-Bisexual..................................................... Ethnicity/National Origin: ................................... Anti-Hispanic .................................................... Anti-Other Ethnicity/National Origin ........... Disability: ............................................................... Anti-Physical ..................................................... Anti-Mental ....................................................... Multiple-Bias Incidents2 ........................................... 1Includes 2In
236 236 85 51 23 0 10 1 3 1 0 0 1 0 0 1 61 43 2 16 0 0 84 69 15 3 0 3 0
Burglary
193 193 96 28 56 1 8 3 42 21 5 3 4 6 3 0 17 4 5 3 4 1 34 25 9 4 0 4 0
Larceny-theft
230 230 125 79 27 10 6 3 33 6 10 4 3 3 7 0 25 10 4 6 1 4 26 12 14 21 2 19 0
Motor vehicle theft
Destruction/ damage/ vandalism
Arson
27 27 21 4 11 4 1 1 1 0 0 0 0 0 1 0 2 0 1 0 0 1 3 1 2 0 0 0 0
47 47 33 3 25 2 0 3 4 2 1 0 0 1 0 0 4 2 0 2 0 0 6 1 5 0 0 0 0
3,328 3,325 1,539 174 1,123 10 78 154 1,116 830 42 48 50 96 44 6 352 192 52 101 3 4 308 144 164 10 1 9 3
Crimes against society1
Other1
47 47 19 15 4 0 0 0 6 4 1 0 0 1 0 0 9 2 1 5 1 0 7 4 3 6 1 5 0
additional offenses collected in the NIBRS. a multiple-bias incident, two conditions must be met: (a) more than one offense type must occur in the incident and (b) at least two offense types must be motivated by different biases.
19 19 7 2 4 0 0 1 2 0 0 0 0 2 0 0 3 2 0 1 0 0 5 4 1 2 0 2 0
516
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 89. Number of Incidents and Victim Type, by Bias Motivation, 2007 (Number.) Victim type Total offenses
Offense type
TOTAL....................................................................... Single-Bias Incidents ................................................ Race ............................................................................ Religion ...................................................................... Sexual Orientation.................................................... Ethnicity/National Origin ........................................ Disability .................................................................... Multiple-Bias Incidents2 ...........................................
Individual
7,624 7,621 3,870 1,400 1,265 1,007 79 3
Business/ financial institution
5,974 5,972 3,158 665 1,169 911 69 2
Government
391 391 218 102 30 34 7 0
Religious organization
253 253 167 56 16 14 0 0
Other/ unknown/ multiple
Society/ public1
237 237 30 201 2 4 0 0
11 11 5 0 1 3 2 0
758 757 292 376 47 41 1 1
1The
victim type society/public is collected only in the NIBRS. a multiple-bias incident, two conditions must be met: (a) more than one offense type must occur in the incident and (b) at least two offense types must be motivated by different biases. 2In
Table 90. Known Offender’s1 Race, 2007 (Number.) Race
Number
TOTAL .............................................................................................................................................................. White .................................................................................................................................................................. Black................................................................................................................................................................... American Indian/Alaskan Native................................................................................................................... Asian/Pacific Islander ...................................................................................................................................... Multiple Races, Group2 .................................................................................................................................... Unknown Race .................................................................................................................................................
6,965 4,378 1,448 69 50 339 681
1The
term known offender does not imply that the identity of the suspect is known, but only that an attribute of the suspect has been identified, which distinguishes him/her from an unknown offender. 2The term multiple races, group is used to describe a group of offenders of varying races.
Table 91. Number of Incidents and Bias Motivation, by Location, 2007 (Number.) Bias motivation Location
TOTAL....................................................................... Air/bus/train terminal............................................... Bank/savings and loan .............................................. Bar/nightclub ............................................................. Church/synagogue/temple ....................................... Commercial office building...................................... Construction site ....................................................... Convenience store .................................................... Department/discount store ...................................... Drug store/Dr.’s office/hospital ............................... Field/woods................................................................ Government/public building.................................... Grocery/supermarket ............................................... Highway/road/alley/street ........................................ Hotel/motel/etc.......................................................... Jail/prison ................................................................... Lake/waterway .......................................................... Liquor store ............................................................... Parking lot/garage ..................................................... Rental storage facility............................................... Residence/home ........................................................ Restaurant.................................................................. School/college............................................................ Service/gas station..................................................... Specialty store (TV, fur, etc.) ................................... Other/unknown ......................................................... Multiple locations ..................................................... 1In
Total incidents
7,624 80 13 149 309 167 36 80 61 57 109 119 57 1,438 37 50 11 17 454 5 2,329 161 859 75 67 875 9
Race
Religion
3,870 45 5 65 43 91 24 40 41 28 55 68 25 784 19 38 7 8 231 3 1,256 88 468 37 33 364 4
Sexual orientation
1,400 8 2 9 252 30 8 6 5 15 9 28 8 108 4 1 0 1 48 1 363 9 170 11 11 291 2
a multiple-bias incident, two conditions must be met: (a) more than one offense type must occur in the incident and (b) at least two offense types must be motivated by different biases.
1,265 13 4 53 5 20 2 13 5 6 22 12 7 302 10 5 3 1 84 0 381 28 135 6 11 135 2
Ethnicity/ national origin 1,007 12 2 22 9 26 2 21 10 8 22 11 17 229 4 6 1 7 87 0 297 33 81 17 12 70 1
Multiplebias incidents1
Disability
79 2 0 0 0 0 0 0 0 0 1 0 0 14 0 0 0 0 4 1 30 3 5 4 0 15 0
3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0
SECTION VI: HATE CRIMES 517 Table 92. Offense Type, by Participating State, 2007 (Number.) Crimes against persons Participating state
TOTAL....................................................................... Alabama..................................................................... Alaska......................................................................... Arizona....................................................................... Arkansas .................................................................... California ................................................................... Colorado .................................................................... Connecticut................................................................ Delaware .................................................................... District of Columbia ................................................. Florida ........................................................................ Georgia....................................................................... Idaho........................................................................... Illinois......................................................................... Indiana ....................................................................... Iowa ............................................................................ Kansas ........................................................................ Kentucky .................................................................... Louisiana.................................................................... Maine.......................................................................... Maryland .................................................................... Massachusetts ............................................................ Michigan..................................................................... Minnesota .................................................................. Mississippi .................................................................. Missouri...................................................................... Montana ..................................................................... Nebraska .................................................................... Nevada ....................................................................... New Hampshire......................................................... New Jersey ................................................................. New Mexico ............................................................... New York ................................................................... North Carolina .......................................................... North Dakota ............................................................ Ohio ............................................................................ Oklahoma .................................................................. Oregon ....................................................................... Pennsylvania .............................................................. Rhode Island ............................................................. South Carolina .......................................................... South Dakota ............................................................ Tennessee ................................................................... Texas ........................................................................... Utah ............................................................................ Vermont ..................................................................... Virginia....................................................................... Washington ................................................................ West Virginia ............................................................. Wisconsin ................................................................... Wyoming .................................................................... 1Includes
additional offenses collected in the NIBRS.
Total offenses
9,006 6 10 205 38 1,789 213 146 59 46 193 14 48 200 48 32 137 137 34 82 153 419 734 183 0 135 28 48 82 50 773 17 498 85 19 373 37 200 96 47 152 39 285 295 64 21 355 232 47 79 23
Murder and nonnegligent manslaughter
Forcible rape 9 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0
Aggravated assault 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,116 1 3 36 4 373 62 2 8 12 36 3 4 36 0 3 17 6 8 3 8 55 75 15 0 20 9 0 23 3 13 5 38 10 4 9 3 33 7 0 20 4 42 48 8 2 19 15 4 6 1
Simple assault
Intimidation
1,684 1 5 24 10 313 40 20 2 19 60 0 12 58 7 9 41 3 9 19 12 78 147 41 0 42 6 15 16 5 49 12 62 13 9 97 12 39 12 5 39 17 61 79 12 2 68 42 8 23 9
2,565 0 0 68 11 456 70 44 15 6 28 2 8 34 23 5 27 111 4 32 0 135 263 88 0 31 3 12 18 12 403 0 95 23 0 134 14 50 25 2 24 1 65 57 6 0 46 94 10 9 1
Other1
32 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 8 0 0 0 1 0 0 1 0 0 0 0 0 4 0 0 0 0 3 0 2 1 0 0 5 0 0 1 0
518
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 92. Offense Type, by Participating State, 2007 (Contd.) (Number.) Crimes against property Participating state Robbery
TOTAL....................................................................... Alabama..................................................................... Alaska......................................................................... Arizona....................................................................... Arkansas .................................................................... California ................................................................... Colorado .................................................................... Connecticut................................................................ Delaware .................................................................... District of Columbia ................................................. Florida ........................................................................ Georgia....................................................................... Idaho........................................................................... Illinois......................................................................... Indiana ....................................................................... Iowa ............................................................................ Kansas ........................................................................ Kentucky .................................................................... Louisiana.................................................................... Maine.......................................................................... Maryland .................................................................... Massachusetts ............................................................ Michigan..................................................................... Minnesota .................................................................. Mississippi .................................................................. Missouri...................................................................... Montana ..................................................................... Nebraska .................................................................... Nevada ....................................................................... New Hampshire......................................................... New Jersey ................................................................. New Mexico ............................................................... New York ................................................................... North Carolina .......................................................... North Dakota ............................................................ Ohio ............................................................................ Oklahoma .................................................................. Oregon ....................................................................... Pennsylvania .............................................................. Rhode Island ............................................................. South Carolina .......................................................... South Dakota ............................................................ Tennessee ................................................................... Texas ........................................................................... Utah ............................................................................ Vermont ..................................................................... Virginia....................................................................... Washington ................................................................ West Virginia ............................................................. Wisconsin ................................................................... Wyoming .................................................................... 1Includes
additional offenses collected in the NIBRS.
178 0 0 4 0 54 3 1 7 0 4 1 0 5 0 1 2 0 0 1 2 7 10 6 0 1 1 2 3 0 2 0 7 0 0 7 0 2 0 1 8 0 15 4 0 0 8 2 2 5 0
Burglary
159 1 0 1 1 30 3 1 0 1 3 0 3 1 0 0 3 2 0 0 0 2 25 1 0 1 0 1 0 1 5 0 5 0 0 9 1 3 1 12 6 1 10 6 1 2 7 4 5 0 0
Larceny-theft
221 0 0 2 1 3 2 3 0 1 1 1 2 1 0 0 10 1 7 0 1 10 60 1 0 0 1 2 0 1 1 0 2 0 2 28 0 1 0 13 11 1 8 3 4 0 21 3 7 5 0
Motor vehicle theft
Destruction/ damage/ vandalism
Arson
22 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 1 1 0 2 0 4 2 0 0 0 0 0 2 1 0 0 0
40 0 0 1 0 6 1 0 0 0 1 1 1 1 0 0 0 0 0 0 3 0 3 0 0 1 0 0 0 0 1 0 1 1 0 3 1 0 0 0 1 2 4 0 1 0 5 1 0 0 0
2,915 3 2 69 11 550 29 75 26 7 59 6 16 63 18 13 33 14 5 26 127 130 123 31 0 38 6 14 22 26 298 0 287 38 3 71 5 70 51 8 34 13 75 96 28 14 162 70 8 30 12
Crimes against society1
Other1
44 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 2 12 0 0 0 1 2 0 1 0 0 0 0 0 7 0 0 0 2 2 0 3 0 2 1 5 0 2 0 0
19 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 2 0 7 0 0 0 0
SECTION VI: HATE CRIMES 519 Table 93. Agency Hate Crime Reporting, by State, 2007
Participating state TOTAL............................................................. Alabama........................................................... Alaska............................................................... Arizona............................................................. Arkansas .......................................................... California ......................................................... Colorado .......................................................... Connecticut...................................................... Delaware .......................................................... District of Columbia ....................................... Florida .............................................................. Georgia............................................................. Idaho................................................................. Illinois............................................................... Indiana ............................................................. Iowa .................................................................. Kansas .............................................................. Kentucky .......................................................... Louisiana.......................................................... Maine................................................................ Maryland .......................................................... Massachusetts .................................................. Michigan........................................................... Minnesota ........................................................ Mississippi ........................................................ Missouri............................................................ Montana ........................................................... Nebraska .......................................................... Nevada ............................................................. New Hampshire............................................... New Jersey ....................................................... New Mexico ..................................................... New York ......................................................... North Carolina ................................................ North Dakota .................................................. Ohio .................................................................. Oklahoma ........................................................ Oregon ............................................................. Pennsylvania .................................................... Rhode Island ................................................... South Carolina ................................................ South Dakota .................................................. Tennessee ......................................................... Texas ................................................................. Utah .................................................................. Vermont ........................................................... Virginia............................................................. Washington ...................................................... West Virginia ................................................... Wisconsin ......................................................... Wyoming ..........................................................
Number of participating agencies
Population covered 13,241 156 1 78 265 727 213 101 53 2 490 18 108 60 127 226 348 324 103 149 156 337 593 321 58 561 96 162 32 143 512 48 273 369 77 534 293 239 1,173 47 480 105 461 999 117 80 408 244 338 374 62
Agencies submitting incident reports 260,229,972 2,388,398 284,142 5,754,940 2,765,195 36,553,215 4,733,294 3,502,309 853,712 588,292 18,152,012 680,591 1,497,812 4,945,770 2,899,537 2,951,927 2,137,765 3,841,157 2,514,916 1,317,207 5,618,344 6,272,474 9,931,655 5,196,856 704,703 5,699,738 944,103 1,267,389 2,526,861 1,021,621 8,684,873 1,173,881 15,335,616 7,421,793 578,781 8,698,569 3,617,316 3,743,591 12,075,298 1,057,832 4,407,709 672,329 6,156,260 23,879,373 2,619,834 610,907 7,710,349 6,437,315 1,686,872 5,599,350 516,189
Total number of incidents reported 2,025 5 1 26 27 276 48 53 14 2 73 3 16 45 13 16 45 23 14 30 25 85 185 47 0 39 11 9 6 25 207 4 29 33 10 76 26 40 24 7 55 9 58 60 28 11 83 54 21 21 7
7,624 6 8 161 33 1,400 156 127 49 41 166 13 38 167 40 27 110 48 31 72 150 353 627 157 0 114 21 44 63 43 748 14 493 75 14 312 30 170 83 47 127 37 239 242 55 21 323 195 44 69 21
520
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
ALABAMA ..................
Total Cities Auburn Hoover Newton Tuscaloosa Metropolitan Counties Tuscaloosa
ALASKA.......................
Total Cities
ARIZONA ....................
Total Cities
Anchorage
Apache Junction Buckeye Chandler Chino Valley Flagstaff Gilbert Glendale Kingman Marana Mesa Paradise Valley Peoria Phoenix Prescott Valley Quartzsite Sedona Show Low Sierra Vista Tempe Yuma Universities and Colleges Arizona State University, Main Campus Northern Arizona University University of Arizona Metropolitan Counties Maricopa Pima Nonmetropolitan Counties Navajo ARKANSAS .................
Total Cities Benton Cherokee Village Crossett De Witt El Dorado Fort Smith Green Forest Hot Springs Jacksonville Jonesboro Lewisville Little Rock Marion Maumelle Morrilton North Little Rock Paragould Sherwood Warren West Memphis Universities and Colleges University of Central Arkansas Metropolitan Counties Benton Pulaski
1Agencies
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
0 0
1 0 0
0 0
0 2 1 1
53,160 69,527 1,663 83,811
0
1
3
3
2
0
284,142
0 1 3 0 0 1 4 3 0 1 0 0 23 0 1 0 1 0 1 0
1 0 1 1 0 4 4 1 1 3 1 0 13 1 0 0 0 0 2 0
0 1
0 0
5 4 1 1 1 1 1 1 5 5 5 82 73 0 0 3 1 1 4 8 5 2 4 1 1 38 1 1 0 0 1 2 0 4
0 0 0 0 0 0 0 0 0 0 0 22 17 1 0 0 0 0 3 2 0 0 0 0 1 9 0 0 1 0 0 0 0 2
1 1 0 1 0 0 0 0 2 2 2 27 26 0 1 1 0 0 0 0 0 0 2 0 0 20 0 0 0 0 0 1 1 1
0 0 0 0 0 0 0 0 0 0 0 29 24 0 1 0 0 0 0 2 1 0 3 0 1 13 0 0 0 1 0 2 0 3
0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
0
1
0
0
1
1
1 3 4 2 2 1 1 21 17 0 0 1 1 0 0 2 1 2 1 1 1 0 1 1 1 0 1 1 2 1
0 1 3 0 3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 8 8 1 1 0 0 1 2 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0
0 3 2 0 2 0 0 3 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0
0 1 0 1
0 0 0 0
0 1 1 0
0 0 0 0
1 2 0
0 1
30,925 34,618 250,868 10,886 58,978 206,681 250,444 28,306 33,374 454,576 14,594 147,223 1,541,698 38,204 3,473 11,484 11,588 43,441 171,320 88,874
0
0
1
51,234
1 5
0 2
0 0
1
20,555 36,805
0 2
0 2
1
2 2
0
0
1
0
0 1 0 0 0 0 2 1 0 0 0 0 0 1 1 1 0 0 0 0
0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0
0 0 0 1 0 2 0 0 2 1 0 0 0 0 0 0 1 2 1 2
1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
27,758 4,812 5,623 3,354 20,200 83,860 2,876 38,828 30,565 61,199 1,166 184,594 10,331 15,613 6,558 58,680 24,562 23,703 6,182 28,137
0
1
0
0
12,330
0 1
1 0
0 0
0 0
0 1 0 3 1 1 2 0 1 27 0 0
0 2 1 1 0 3 0 2 17 0 0 1 0
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 521 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Nonmetropolitan Counties Fulton Montgomery Pope Scott CALIFORNIA..............
Total Cities Agoura Hills Alameda Aliso Viejo Anaheim Antioch Atascadero Atwater Azusa Bakersfield Belmont Benicia Berkeley Beverly Hills Bishop Brea Brentwood Buena Park Burbank Calabasas Calexico Camarillo Campbell Carson Ceres Cerritos Chico Chino Chula Vista City of Angels Claremont Clayton Clearlake Clovis Compton Concord Corona Coronado Covina Cypress Daly City Dana Point Danville Davis Del Mar Desert Hot Springs Diamond Bar Downey Duarte Dublin El Cajon Elk Grove El Monte El Segundo Encinitas Escondido Eureka Fillmore Folsom Fort Bragg Fountain Valley Fremont Fresno Fullerton Galt Gardena
3 1 0 1 1 674 566 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 0 3 0 0 2 0 1 1 1 1 2 0 0 2 1 3 5 5 2 0 0 2 2 1 0 0 7 0 1 3 2 3 1 1 2 9 1 0 2 1 1 1 1 2 1 7 2 4 1
Religion
0 0 0 0 0 204 166 2 0 1 0 0 1 1 0 1 0 0 0 5 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0
Sexual orientation 0 0 0 0 0 263 226 0 0 0 1 0 0 0 0 2 0 0 1 0 0 0 0 0 1 1 1 0 1 0 0 0 2 1 2 1 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 1 0 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0
Ethnicity Disability
1 0 1 0 0 256 225 1 0 0 2 0 0 0 0 0 2 0 1 0 1 0 0 1 3 0 0 1 0 0 1 0 2 1 0 0 0 0 0 2 3 1 0 0 0 0 0 1 1 1 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 13 0 2 0 0 0 0
0 0 0 0 0 3 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1st quarter
2nd quarter
3rd quarter
4th quarter
0 0 0 0
0 0 1 0
0 0 0 1
1 1 0 0
1 1 0 1 0 0 0 0 0 1 0 2 1 0 0 1 0 4 1 0 0 0 1 1 1 2 0 1 0 2 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 0 1 0 0 1 1 2 0 1 0 0 0 0 0 0 1 1 0 1 1
1 0 0 1 0 0 1 0 2 1 0 1 0 1 0 0 1 1 1 0 0 0 0 0 0 2 3 1 1 0 0 2 1 2 3 0 1 0 1 1 0 0 4 1 0 1 2 0 0 0 2 3 0 0 0 0 0 1 0 0 3 2 1 1 0
1 0 1 0 1 1 0 1 0 0 1 0 4 0 0 1 0 2 0 1 1 1 0 1 0 1 1 0 1 0 1 1 3 3 2 0 0 1 1 0 1 1 5 0 1 2 0 2 0 0 0 4 0 0 2 1 2 0 13 2 0 5 0 2 0
0 0 0 2 1 0 1 0 2 1 0 0 0 0 1 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 3 1 1 0 0 0 0 0 0 2 0 0 1 1 2 1 0 0 2 1 0 0 0 0 0 1 0 0 1 1 0 0
Population2
22,966 70,445 41,691 335,133 101,973 27,465 27,762 47,403 318,743 24,605 26,544 101,343 35,133 3,566 39,041 52,238 79,890 104,871 22,693 38,928 63,238 37,429 94,359 43,427 52,462 74,288 80,699 218,718 3,949 35,250 11,252 15,133 92,592 95,990 122,202 153,518 26,888 47,961 47,741 100,632 36,051 41,503 61,238 4,365 23,890 57,954 109,642 22,255 43,751 91,302 138,103 124,182 16,533 59,424 133,429 25,347 15,219 68,320 6,780 55,973 201,318 472,170 133,855 23,967 59,951
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
522
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Garden Grove Gilroy Glendale Glendora Gonzales Grass Valley Hawaiian Gardens Hawthorne Hemet Hercules Hesperia Huntington Beach Huntington Park Inglewood Irvine La Canada Flintridge Lafayette Laguna Hills La Habra Lake Elsinore Lakewood La Mesa La Mirada Lancaster La Puente La Quinta La Verne Lemon Grove Lemoore Livermore Lodi Lomita Long Beach Los Alamitos Los Angeles Los Gatos Lynwood Malibu Manhattan Beach Manteca Marina Marysville Menlo Park Millbrae Milpitas Modesto Montclair Monterey Monterey Park Moorpark Moreno Valley Mountain View Murrieta Napa National City Newport Beach Norwalk Novato Oakdale Oakland Oakley Oceanside Ontario Orange Oxnard Pacifica Palmdale Palm Desert Palm Springs Palo Alto Paradise Paramount 1Agencies
2 1 3 1 0 1 2 1 5 1 1 4 1 1 0 2 1 1 3 1 3 0 1 11 1 0 1 1 0 1 0 1 6 2 132 0 1 1 1 2 0 1 1 0 0 4 0 0 1 0 4 0 0 1 1 3 5 2 1 5 2 10 1 1 1 1 8 0 4 0 1 1
Religion
0 0 1 0 0 0 0 0 0 0 0 3 0 0 2 2 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 3 3 50 2 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 1 1 0 0 2 3 0 2 0 0
Sexual orientation 3 0 0 0 1 0 1 2 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 1 0 0 0 3 0 43 0 0 0 1 0 1 0 0 0 1 4 0 1 0 1 0 0 1 1 0 1 1 0 0 5 0 3 0 2 1 2 1 0 7 1 0 0
Ethnicity Disability
4 0 4 0 0 0 0 0 2 0 1 0 1 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 0 0 1 0 1 0 54 0 0 0 0 0 2 0 0 1 1 2 1 0 0 1 1 1 0 0 1 3 0 2 0 4 0 3 0 0 1 3 0 1 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1st quarter
2nd quarter
3rd quarter
4th quarter
3 0 3 0 0 0 0 0 1 0 1 1 0 0 0 2 0 0 0 0 0 0 0 5 0 0 0 0 0 0 1 0 6 0 61 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 1 1 1 0 0 1 1 3 1 2 0 4 0 3 2 2 4 1 2 1 1 0
3 0 3 0 1 0 1 0 4 1 1 1 0 0 0 1 0 1 1 2 1 1 1 5 1 0 0 1 0 0 1 0 4 2 72 0 1 0 1 0 0 0 1 1 0 2 0 1 1 0 1 0 0 1 2 2 1 0 0 4 0 7 2 1 1 2 3 3 3 2 0 0
3 1 2 0 0 1 2 2 1 0 0 3 1 1 1 0 1 0 0 1 3 0 1 2 0 1 1 0 1 1 0 0 3 1 76 0 0 1 2 1 2 0 0 0 2 7 0 0 0 2 1 0 0 0 0 0 2 0 0 1 1 3 0 0 0 1 0 0 1 0 0 1
0 0 0 1 0 0 0 1 2 0 0 4 1 0 1 1 0 0 2 0 0 0 0 2 0 1 0 0 0 1 0 1 0 2 70 2 0 0 1 0 0 1 1 0 0 1 0 0 0 0 2 0 0 1 0 4 2 1 0 8 1 6 0 0 0 1 4 0 5 0 0 0
Population2
166,414 49,343 200,049 50,495 8,795 12,525 15,510 85,609 71,825 25,636 86,750 195,067 62,269 115,223 201,872 21,079 25,007 32,172 59,290 47,937 80,138 52,801 50,143 144,210 41,581 44,533 33,549 23,721 23,461 80,253 63,218 20,539 473,959 11,725 3,870,487 28,320 71,216 13,263 37,061 65,857 18,048 11,903 29,867 20,425 64,498 208,067 35,893 28,674 62,472 36,255 190,248 69,999 98,051 75,266 61,996 80,377 105,330 52,067 19,890 396,541 29,302 166,424 175,537 135,818 186,367 37,176 142,122 47,903 48,542 57,696 26,381 56,508
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 523 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Parlier Pasadena Paso Robles Perris Petaluma Pico Rivera Pinole Placerville Pleasant Hill Pleasanton Pomona Poway Rancho Mirage Rancho Santa Margarita Red Bluff Redding Redlands Redondo Beach Redwood City Rialto Richmond Ridgecrest Riverside Rocklin Rohnert Park Rolling Hills Estates Rosemead Roseville Sacramento Salinas San Bernardino San Bruno San Clemente San Diego San Dimas San Francisco San Gabriel San Jacinto San Jose San Juan Capistrano San Leandro San Luis Obispo San Marcos San Mateo San Pablo San Rafael San Ramon Santa Barbara Santa Clarita Santa Cruz Santa Fe Springs Santa Monica Santa Rosa Santee Scotts Valley Seaside Sebastopol Signal Hill Solana Beach Soledad Sonora South Gate South Lake Tahoe South San Francisco Stanton Stockton Sunnyvale Taft Temecula Temple City Thousand Oaks Torrance
0 7 1 2 1 1 2 0 1 1 3 1 0 1 0 9 1 4 2 0 3 0 16 1 0 1 3 0 10 1 2 0 0 15 1 31 1 2 18 1 5 3 1 0 1 0 2 1 1 4 1 0 1 3 0 0 1 0 0 1 1 2 0 1 1 5 0 0 3 1 1 3
Religion
1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 2 0 0 0 1 5 1 9 1 1 2 1 1 3 1 2 0 0 0 0 0 2 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 3 0
Sexual orientation 0 3 0 0 0 0 0 1 0 0 0 1 0 0 1 5 0 0 0 0 2 0 2 0 0 0 0 1 5 1 2 1 0 21 0 18 0 0 9 0 0 1 0 1 0 1 0 0 0 3 0 0 1 0 2 1 0 2 0 1 0 0 0 0 0 1 0 0 0 0 0 0
Ethnicity Disability
0 6 0 0 2 0 0 2 1 0 2 0 0 0 0 2 0 1 0 1 0 0 2 0 0 0 0 0 3 0 0 1 1 11 1 8 0 0 5 0 0 3 0 1 0 0 0 0 0 2 0 1 1 0 1 0 0 0 0 0 0 0 1 0 2 4 1 1 1 0 2 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1st quarter
2nd quarter
3rd quarter
4th quarter
0 4 1 1 2 0 0 1 1 1 2 0 0 1 1 5 0 1 1 0 2 0 10 0 0 0 0 0 4 0 0 0 1 15 3 20 0 2 10 0 0 2 1 0 0 0 2 1 0 2 0 0 3 1 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 1 1
1 6 0 0 1 0 0 0 1 0 0 0 0 0 0 4 0 1 0 1 1 1 6 0 1 1 3 0 3 0 3 2 1 12 0 21 1 1 7 0 0 4 1 1 0 0 0 0 0 3 1 0 1 0 1 1 1 0 0 0 0 1 0 1 0 2 1 0 2 1 1 1
0 3 0 1 0 0 1 1 0 0 1 1 0 0 0 1 0 1 1 0 2 0 4 1 0 0 0 1 8 2 0 0 0 15 0 12 0 0 11 1 2 3 0 2 0 1 0 0 1 4 0 1 1 1 0 0 0 1 0 2 1 0 1 0 2 2 0 0 2 0 2 1
0 4 1 0 0 1 1 1 0 0 2 1 1 0 0 7 1 2 0 1 0 0 0 0 0 0 0 0 5 0 1 0 0 10 0 13 1 0 6 1 4 1 0 1 1 0 0 0 0 2 0 0 0 1 2 0 0 1 1 0 0 1 0 0 0 4 0 1 2 0 2 0
Population2
13,391 145,553 28,490 54,029 54,624 64,452 18,844 10,142 33,233 66,707 155,161 48,105 17,293 51,023 14,111 91,328 71,358 67,909 73,435 100,451 102,471 26,351 299,312 52,328 41,043 8,136 55,187 111,497 460,546 145,251 200,810 39,960 62,723 1,261,196 35,809 733,799 41,186 37,056 934,553 34,976 77,785 42,781 80,050 91,441 31,143 55,987 50,295 85,142 170,429 54,626 17,207 88,584 154,953 52,465 11,114 34,204 7,523 11,270 12,601 28,431 4,679 98,701 23,872 61,458 37,666 297,170 130,326 9,198 93,665 38,546 125,196 142,970
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
524
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Turlock Tustin Union City Upland Vacaville Ventura Visalia Vista Walnut Walnut Creek Watsonville West Covina West Hollywood West Sacramento Whittier Woodland Yorba Linda Yuba City Universities and Colleges California State University: Bakersfield Dominguez Hills Fresno Fullerton Monterey Bay Northridge Sacramento San Bernardino Fresno Community College Humboldt State University San Francisco State University Santa Rosa Junior College Solano Community College University of California: Berkeley Davis Los Angeles Riverside Santa Cruz Metropolitan Counties Contra Costa Imperial Kern Los Angeles Marin Merced Orange Riverside Sacramento San Diego San Luis Obispo Santa Clara Santa Cruz Shasta Sonoma Stanislaus Ventura Yuba Nonmetropolitan Counties Amador Calaveras Colusa Glenn Inyo Lake Lassen Mendocino Tuolumne 1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
0 0 5 2 3 0 1 2 1 1 0 3 0 1 2 0 0 5 18
0 0 0 0 0 0 0 0 0 2 0 2 2 0 0 0 0 1 11
1 1 2 0 1 1 1 0 0 0 1 0 7 0 1 2 0 1 8
1 0 0 1 1 2 0 1 0 1 0 0 1 1 0 1 1 1 4
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 1 2 1 3 0 0 0 0 0 1 1 1 2 0 0 2
0 0 5 1 4 0 0 2 1 1 0 1 1 1 0 2 0 3
0 1 1 0 0 0 2 0 0 2 1 2 7 0 0 1 1 1
0 0 0 0 0 0 0 1 0 1 0 1 1 0 1 0 0 2
70,386 69,945 69,769 74,049 93,167 104,523 116,766 89,851 31,470 63,568 49,031 108,097 36,604 46,245 84,038 51,355 66,252 61,881
1 0 1 1 0 1 0 0
0 1 0 0 0 0 0 0
0 0 0 0 1 1 1 1
0 0 0 0 0 1 1 0
0 0 0 0 0 0 0 0
1 1 0 0 0 1 1 0
0 0 1 0 0 1 0 1
0 0 0 0 0 0 1 0
0 0 0 1 1 1 0 0
7,711 12,068 22,098 35,921 3,818 34,560 28,529 16,479
1
0
0
0
0
0
0
1
0
22,040
2
0
0
0
0
2
0
0
0
7,435
2 0
3 0
0 0
0 1
0 0
0 0
1 0
4 0
0 1
29,628 24,806
1
1
0
0
0
2
0
0
0
10,900
0 2 1 0 5 79 0 1 4 35 0 0 3 8 8 13 0 0 1 0 1 2 0 3 7 2 1 0 1 0 1 1 1 0
1 0 0 2 3 27 0 0 0 11 1 1 1 5 0 3 1 0 1 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2 1 0 0 1 22 1 0 1 5 1 0 1 1 5 4 0 1 2 0 0 0 0 0 5 0 0 1 0 1 2 0 0 1
0 1 0 0 0 22 0 0 2 7 0 0 0 2 5 3 0 1 0 0 1 1 0 0 3 2 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 1 1 0 7
1 0 0 1 1
1 1 0 1 1
0 2 0 0 0
33,920 29,628 36,611 16,875 15,364
0 0 0 12 1 0 1 3 7 10 0 1 1 1 0 0 0 1
0 0 2 18 1 0 2 5 6 2 0 1 2 0 2 1 0 0
1 0 3 16 0 1 2 3 2 8 1 0 1 0 0 1 2 2
0 1 2 12 0 0 0 5 3 3 0 0 0 0 0 1 0 0
1 0 0 1 0 1 1 0 1
0 0 0 0 1 0 0 0 0
2 1 1 0 0 1 0 1 0
1 0 0 1 0 1 0 0 0
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 525 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
State Police Agencies Highway Patrol, San Bernardino County Other Agencies Department of Parks and Recreation, Gold Fields District East Bay Regional Parks, Contra Costa County Los Angeles Transportation Services Bureau COLORADO................
Total Cities Arvada Aurora Berthoud Boulder Castle Rock Centennial Colorado Springs Commerce City Cortez Craig Denver Englewood Evans Fort Collins Fort Lupton Glendale Glenwood Springs Grand Junction Greeley Gunnison Johnstown Kersey Lafayette Lakewood Littleton Lone Tree Louisville Loveland New Castle Steamboat Springs Sterling Telluride Thornton Trinidad Walsenburg Wheat Ridge Universities and Colleges Auraria Higher Education Center3 Colorado State University, Fort Collins Metropolitan Counties Adams Arapahoe Douglas Gilpin Jefferson Mesa Weld Nonmetropolitan Counties Garfield Routt Other Agencies Colorado Mental Health Institute
CONNECTICUT..........
Total Cities Bloomfield Branford
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
1
0
0
0
0
1 3
0 0
0 2
0 2
0 0
1
0
0
0
0
0
1
0
0
0
0
1
0
0
0
1
0
0
0
1
0
0
3 75 58 2 3 1 4 0 3 3 0 1 1 13 1 0 5 0 0 0 3 1 1 1 1 0 1 0 1 1 0 2 5 0 1 1 1 0 1 3
0 14 9 1 0 0 3 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
0 32 26 2 1 0 3 1 0 3 1 0 1 5 0 0 2 1 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 1 1 0 0 1 0 0
2 34 27 0 1 0 0 0 0 1 0 0 3 4 3 1 1 0 1 2 1 1 0 0 0 1 3 0 0 0 1 1 2 0 0 0 0 0 0 0
0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
2
2
1
0
0 0 1 3 0 0 2 0 0 0 1 1 0 0 1 0 0 0 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 0 1 1
2 2 0 0 0 1 2 1 1 3 7 0 1 2 0 0 0 2 1 0 0 0 0 1 1 0 0 0 1 1 0 1 1 0 0 0
2 2 0 6 1 2 2 0 0 0 10 2 0 4 0 1 2 2 0 1 0 0 0 1 0 0 0 3 2 5 0 1 0 1 0 0
1 1 0 1 0 1 1 0 0 2 6 1 0 2 0 0 0 0 2 1 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0
1
0
0
0
0
0
0
0
1
2 11 0 4 1 0 0 5 1 1 1 0 2
1 4 0 3 0 0 0 0 1 0 0 0 0
0 5 0 0 0 1 2 1 1 1 1 0 0
0 5 1 2 1 0 0 1 0 2 1 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0
2
0
0
1
0 2 2 0 0 1 0
1 3 0 0 0 1 1
0 3 0 0 1 3 2
0 1 0 1 1 2 0
0 0
1 0
0 1
2 0
2 66 57 1 0
0 31 29 0 1
0 18 12 1 0
0 11 10 0 0
0 1 1 0 0
0
2
0
0
0 0
0 0
1 1
1 0
Population2
105,197 307,621 5,142 91,047 43,523 97,746 374,112 42,386 8,513 9,262 573,387 32,362 19,420 130,935 7,464 4,800 8,904 47,235 90,707 5,296 9,021 1,421 24,340 139,407 40,343 9,349 18,335 62,586 3,526 9,233 12,549 2,274 113,289 9,135 3,914 30,718
27,636
20,759 29,074
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
526
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Bridgeport Bristol Clinton Derby East Hartford Enfield Farmington Glastonbury Greenwich Groton Groton Town Guilford Hamden Hartford Madison Manchester Middletown Milford Monroe Naugatuck New Britain New Haven New Milford Norwalk Norwich Orange Plainfield Plymouth Seymour Shelton Southington South Windsor Stamford Stratford Suffield Torrington Trumbull Vernon Wallingford Waterford West Hartford Weston Westport Wilton Winchester Windsor Locks Universities and Colleges Eastern Connecticut State University University of Connecticut: Health Center3 Storrs, Avery Point, and Hartford3 Western Connecticut State University State Police Agencies Connecticut State Police DELAWARE ................
Total Cities Dewey Beach Elsmere Georgetown Harrington Laurel Milford Newark Wilmington Universities and Colleges University of Delaware Metropolitan Counties New Castle County Police Department
1Agencies
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter 0 1 2 0 1 0 0 0 0 0 0 0 0 0 1 0 0 2 0 4 0 1 1 1 3 1 1 1 1 1 0 0 2 0 0 0 0 0 1 1 0 1 0 1 0
137,655 61,292 13,695 12,465 48,752 45,229 25,190 33,179 62,196 9,314 29,377 22,462 57,982 124,558 18,873 55,774 47,743 55,404 19,599 31,994 70,630 124,034 28,890 84,343 36,353 13,942 15,538 12,225 16,327 40,425 42,522 26,214 119,510 49,440 15,334 35,997 35,055 29,843 44,979 18,780 60,644 10,277 26,704 17,879 10,888 12,475
5,239
1 1 2 1 1 2 2 0 1 1 2 0 1 2 1 0 0 1 0 5 1 0 2 3 3 2 1 3 0 0 1 1 2 2 1 0 2 1 0 0 1 0 3 0 1 2 6
0 0 0 0 0 0 0 2 1 0 1 0 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 0 1 2 0 0 0 6 1 1 0 0 1 0 2 1 2 3 0 0 1
1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 2 0 0 0 0 0 5
0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 1 0 0
0 1 1 1 0 1 1 0 2 1 1 0 0 0 1 0 0 0 1 1 0
1 0 1 0 0 0 0 0 0 0 1 4 0 0 1 0 0 0 2 0 0 0 0 1
2 2 1 0 0 1 0 1 1 0 0 1 1 1 2 0 1 0 0 1 0 3 0 1
1 0 1 0 1 1 0 2 0 0 2 1 0 1 0 1 1 0 0 1 1 2 0 0 0 0 0 1 0 0 0 1 1 1 1 1 0 1 0 0 2 0 4 1 0 0
0
0
2
0
0
0
0
2
0
1
0
0
0
0
1
0
0
0
4
1
3
0
0
5
0
0
3
1 3 3 27 6 1 1 0 1 0 2 0 1 3 3 6
0 1 1 6 1 0 0 0 0 0 0 1 0 0 0 2
0 1 1 7 1 1 0 0 0 0 0 0 0 2 2 1
0 1 1 9 8 0 0 7 0 1 0 0 0 1 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1
0
0
0
2
0
0
4
0 0 2 0 0 0 1 0
0 1 1 0 0 1 0 0
2 0 0 1 0 0 0 0
0 0 4 0 1 1 0 1
313 5,721 4,964 3,276 3,842 7,995 30,158 72,842
4
0
2
0
20,380
6
2
1
0
0
3
2
1
3
6,086
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 527 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
State Police Agencies State Police: Kent County New Castle County Sussex County Other Agencies Park Rangers DISTRICT OF COLUMBIA .................
Total Cities Washington Other Agencies Metro Transit Police
FLORIDA .....................
Total Cities Altamonte Springs Aventura Boca Raton Cape Coral Casselberry Cocoa Coconut Creek Coral Gables Coral Springs Crystal River Dania Delray Beach Fort Lauderdale Gainesville Hallandale Homestead Jacksonville Jupiter Lake Clarke Shores Lakeland Largo Leesburg Longwood Melbourne Miami Beach Miramar New Smyrna Beach North Miami North Port Oakland Park Ocoee Oviedo Palm Bay Panama City Pensacola Port Orange Port St. Lucie Sunny Isles Beach Tampa Tarpon Springs Venice Wellington Wilton Manors Winter Garden Winter Park Universities and Colleges Florida Atlantic University University of Central Florida University of West Florida Metropolitan Counties Alachua Bay Brevard Broward Charlotte
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
0 2 0
0 1 0
2 3 2
5 1 1
0
0
1
0
11
8
11
7
1
3
0
0
0 1 0 1 0 0 0 1 0 0 0 2 0 0 0 1 0 0 1 0 0 0 0 2 1 0 0 1 1 1 0 0 0 1 0 1 0 0 4 1 1 1 0 0 1
0 0 1 1 0 0 0 1 0 0 1 0 1 3 0 0 1 0 0 0 0 0 2 4 1 1 0 0 1 0 0 0 0 0 0 0 1 0 4 0 0 0 0 1 0
1 0 1 3 1 0 0 0 0 0 0 1 1 3 2 0 0 1 0 0 0 1 0 1 2 0 1 0 1 0 0 0 1 2 1 0 2 0 4 0 1 0 1 0 0
0 0 0 0 0 1 2 2 1 1 0 0 2 0 0 0 0 0 0 1 1 0 0 2 1 1 0 0 0 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0
40,513 30,782 86,868 159,936 24,663 16,704 51,033 42,794 131,307 3,590 29,011 65,262 187,995 108,289 40,147 58,074 797,350 50,294 3,397 91,009 73,789 20,401 13,482 77,678 86,742 114,029 23,067 57,368 56,539 42,486 31,604 31,269 100,666 36,840 52,837 56,155 154,036 15,190 337,220 23,523 21,329 57,713 12,937 29,284 28,114
12
3
2
0
0
5 4 3 0 0
2 1 0 0 0
0 2 0 1 1
0 0 0 0 0
0 0 0 0 0
3 3 3 0 0 86 52 1 0 0 1 0 0 2 2 1 1 1 1 2 6 2 1 1 0 0 0 0 1 0 5 0 2 0 0 2 0 1 0 1 2 2 0 1 0 8 1 2 0 0 1 1 3
7 6 6 1 1 26 16 0 1 0 1 0 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 0 1 0 0 0 1
29 26 26 3 3 25 15 0 0 0 1 0 1 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 0 1 0 0 0
2 2 2 0 0 29 16 0 0 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 2 1 2 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
1
0
0
0
1
0
0
0
25,325
1 2 30 1 2 1 0 1
0 0 8 0 1 0 1 0
0 0 9 0 0 0 0 0
0 0 12 0 0 1 0 0
0 0 0 0 0 0 0 0
1 1
0 0
0 1
0 0
46,646 9,819
0 0 2 0 1
0 1 0 1 0
1 2 0 0 0
0 0 0 0 0
588,292
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
528
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Clay Collier Escambia Flagler Hernando Hillsborough Indian River Lake Lee Manatee Orange Osceola Palm Beach Pinellas Polk Santa Rosa Volusia Nonmetropolitan Counties DeSoto Monroe Other Agencies Lee County Port Authority GEORGIA ....................
Total Cities Atlanta Norcross Metropolitan Counties Catoosa
IDAHO ..........................
Total Cities Bellevue Boise Coeur d’Alene Hailey Idaho Falls Jerome Lewiston Nampa Pocatello Rexburg Spirit Lake Sun Valley Twin Falls Metropolitan Counties Ada Bonneville Kootenai
ILLINOIS ......................
Total Cities Alton Aurora Beecher Bloomington Carpentersville Chicago Columbia Crest Hill Decatur Downers Grove Elgin Elwood Evanston Granite City La Grange Lombard Marion McHenry Naperville Normal Oak Brook Oak Park
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
3 4 3 3 2 1 1 1 1 0 0 0 1 0 0 4 1 0 0 0 1
0 2 0 2 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0
1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 0 1 0
1 1 0 0 0 1 1 0 4 0 1 1 0 1 0 0 0 1 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 1 3 3 0 1 0 0 3 1 0 0 0 0 1 1 0
1 4 0 1 1 1 2 0 3 0 0 1 1 1 0 2 1
2 1 1 1 0 2 1 1 0 0 1 0 1 0 0 0 0
0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 2 0
0 0
0 1
1 0
0 1
1 3 1 0 1 2 2 18 16 1 4 2 2 1 1 2 0 1 0 0 1 1 2 1 0 1 94 86 1 8 0 3 1 15 1 1 6 1 0 1 2 2 1 2 3 0 3 1 0 1
0 0 0 0 0 0 0 6 5 0 3 0 0 0 0 0 1 0 0 1 0 0 1 0 1 0 21 21 0 0 0 1 0 8 0 0 1 1 1 0 1 0 1 0 0 0 0 0 0 0
0 6 6 6 0 0 0 7 7 0 1 1 0 2 0 0 2 0 0 0 1 0 0 0 0 0 29 27 0 1 0 1 0 12 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0
0 4 4 1 3 0 0 7 7 1 2 1 0 1 0 0 1 0 1 0 0 0 0 0 0 0 21 18 0 3 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
1
0
3 3
3 1
0 0
1
497,290 10,378
2,238 199,104 42,324 7,984 53,049 8,778 31,356 80,397 54,274 28,308 1,656 1,455 41,236
2
2 1 1 0 1 0 0 0 0 1 0 0 1
0 3 2 2 2 0 0 2 1 0 1 2 0
0 1 1 0 1 0 2 1 0 0 0 0 0
0 5 0 0 0 1 0 1 0 0 0 0 0
0 0 0
0 0 1
0 0 0
1 1 0
4
1 5
2
1
1 1 2
8
10
1 2
1 1 14
1
0
5 1 0
1
0
2 1
0
1
0 0
0 0
2 1 0 1 1
2 5 1 1 1 1 1 1 1 2 1 3 0 1
29,101 174,724 3,086 71,770 38,394 2,824,434 9,281 21,759 76,383 49,090 102,960 2,412 75,746 30,411 15,374 42,811 17,459 26,526 144,933 51,458 8,893 49,968
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 529 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Palatine Paris Park Ridge Pekin Peoria Rockdale Rockford Rock Island Round Lake Rushville Schaumburg Skokie Springfield Urbana West Chicago Westmont Universities and Colleges Eastern Illinois University Northern Illinois University Northwestern University, Evanston3 University of Illinois, Urbana Western Illinois University Metropolitan Counties Du Page Peoria INDIANA......................
Total Cities Angola Bloomington4 Clarksville Columbus Evansville Fishers Fort Wayne Greenwood Munster Seymour Universities and Colleges Ball State University Purdue University Metropolitan Counties Elkhart
IOWA .............................
Total Cities Cedar Falls Coralville Council Bluffs Davenport Decorah Des Moines Dubuque Fort Dodge Keokuk Marion Ottumwa Perry Sioux City Universities and Colleges Iowa State University University of Iowa Metropolitan Counties Polk
KANSAS........................
Total Cities Andover Augusta Chanute Coffeyville
Religion
Sexual orientation
Ethnicity Disability
1st quarter
0 1 0 2 3 1 7 1 1 1 1 1 12 1 0 1 5 1
2 0 1 0 0 0 1 0 0 0 0 2 0 0 1 0 0 0
0 0 0 0 2 0 5 0 0 0 0 1 1 1 0 0 2 0
0 0 0 0 1 0 4 0 0 0 1 1 4 1 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2
4
0
0
0
0
1
0
0
1
0
0
0
0
0
1
0
0 3 0 3 25 23 0 13 2 1 2 2 1 0 2 0 1 0 1 1 1 16 14 0 1 3 0 0 1 3 1 4 1 0 0 0 1 0 1 1 1 63 47 1 1 0 1
0 0 0 0 9 8 1 4 0 2 0 1 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 13 12 0 0 0 0
1 0 0 0 3 1 0 0 0 0 0 0 1 0 0 0 2 1 1 0 0 5 4 1 0 0 2 0 0 0 0 0 0 0 1 0 1 0 1 0 0 19 16 0 0 1 0
0 2 2 0 3 3 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 5 4 0 0 0 0 1 1 0 0 0 0 1 0 1 1 1 0 0 0 15 14 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2nd quarter
3rd quarter
4th quarter
1
2 1 4
3
1 2 0
2
5
1 6 1
1 0 2 4 1
0 3
1 1 3 8 2 1
1 2
1 1
Population2
67,550 8,818 36,762 33,298 113,137 2,058 155,713 38,275 18,722 3,110 72,320 67,148 117,185 38,771 27,176 25,083 12,349
2
1
25,313
1 1
42,738 1
1
13,602
1 1
1 1
3 0 0 1 0 0 1 0
6 1 1 0 0 0 0 1 0
7,979 68,918 21,295 39,764 114,985 66,099 248,423 46,063 22,467 19,246 20,030 40,609
1 2 1 2 0 1 1 0 0 1
0 6 0 1 2 1 1 1 0
0 0
0 3
1 0
0 0
0
1
0
0
0 0 0 2 0 1 0 0 0 0 0 1 0
0 0 0 0 0 0 1 1 0 1 0 0 1
0 1 2 0 1 1 1 0 4 0 1 0 0
1 0 1 0 0 0 1 0 0 0 0 0
36,995 18,496 60,531 99,631 8,066 192,948 57,694 25,330 10,585 31,772 24,822 9,001 82,942
0 1
0 2
1 0
0 0
25,462 28,816
0
0
1
0
0 0 0 0
0 0 0 0
1 1 1 0
0 0 0 1
9,955 8,715 8,822 10,280
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 4Includes one incident reported with more than one bias motivation.
530
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Columbus Concordia Edwardsville El Dorado Emporia Garden City Grandview Plaza Hays Haysville Hutchinson Independence Iola Lansing Lawrence Leavenworth Lenexa Osage City Ottawa Paola Parsons Pittsburg Pratt Salina Shawnee Spring Hill Valley Center Valley Falls Wichita Universities and Colleges Pittsburg State University University of Kansas, Main Campus Metropolitan Counties Miami Shawnee Nonmetropolitan Counties Cowley Finney Kearny Lyon Montgomery Riley County Police Department Stevens Other Agencies Kansas Bureau of Investigation Unified School District, Auburn-Washburn KENTUCKY.................
Total Cities Anchorage Ashland Bellevue Bowling Green Covington Elsmere Henderson Lexington Louisville Metro Mount Sterling Murray Newport Paducah Paris Richmond St. Matthews Versailles Universities and Colleges University of Kentucky Metropolitan Counties Boone Daviess Kenton County Police Department
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
1 1 0 1 1 0 1 1 1 2 1 0 1 1 2 0 1 1 1 1 1 2 5 0 1 1 0 16 1 1
0 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 1 5 0 0 0 0 1 0 0
0 0 0 0 1 1 0 0 0 0 0 1 0 1 2 1 0 0 0 0 0 0 2 0 0 0 1 5 1 0
0 0 1 0 3 0 0 1 0 0 0 0 1 0 0 0 0 0 0 2 1 0 1 1 0 0 0 3 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 1 2 1 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 1 5 1 0 0 0 5
0 1 1 0 1 0 1 1 1 1 1 0 1 2 2 0 1 0 0 1 0 2 2 0 0 1 1 5
1 0 0 0 1 0 0 1 0 1 0 1 0 0 1 1 0 1 0 2 1 0 3 0 0 0 0 7
0 0 0 0 2 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 3 0 1 0 0 8
3,216 5,229 4,565 12,693 26,125 26,949 995 19,672 10,227 40,941 9,229 5,916 10,861 90,044 34,918 45,059 2,936 12,901 5,378 11,190 19,104 6,389 46,180 60,950 5,203 6,044 1,182 358,294
1
0
0
0
6,859
0 2 1 1 11 0 1 1 1 2
0 0 0 0 1 1 0 0 0 0
1 1 0 1 1 0 1 0 0 0
0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0
1
26,773
0 1
1 0
0 0
0 1
1 0 0 0 0
0 1 1 0 1
0 0 0 0 1
0 1 0 1 0
6 0 2
0 0 0
0 0 0
0 1 0
0 0 0
4 1
1 0
1 0
0 0
1
0
0
0
0
0
1
0
0
1 30 18 1 1 1 1 3 1 0 3 1 1 1 2 0 0 1 0 1 2 2 7 2 4
0 6 6 0 0 0 0 1 0 0 1 0 0 2 0 1 0 0 1 0 0 0 0 0 0
0 9 9 0 0 0 2 0 0 1 2 1 0 1 0 1 0 0 0 1 0 0 0 0 0
0 3 3 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1
1 0 1 2
0 1
0
1
0
0
0
0
0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0
0 0
0 0 0
2,804 21,482 5,871 53,663 42,682 7,848 27,960 272,815 624,030 6,569 15,811 15,540 25,550 9,329 32,017 17,676 7,726
1
1
26,382
1 0
0 3
1 1
0
1
0
1
1 0 3 1 2 1 1 0 3
0 4 0 0 5 1 0 0 0 0 0 0 0
0 1 0 1 0 0 1 1 0
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 531 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
State Police Agencies State Police Other Agencies Jefferson County Board of Education LOUISIANA ................
Total Cities Alexandria De Quincy Jennings Kentwood Mamou New Orleans Port Allen Metropolitan Counties Bossier Caddo East Baton Rouge Jefferson Rapides West Feliciana Nonmetropolitan Counties East Carroll
MAINE ..........................
Total Cities Augusta Baileyville Bangor Bar Harbor Biddeford Calais Dixfield Eliot Gorham Kennebunk Lewiston Mechanic Falls Milo Ogunquit Old Orchard Beach Old Town Orono Portland Sabattus Sanford South Portland Waterville York Universities and Colleges University of Southern Maine Metropolitan Counties Cumberland Penobscot York Nonmetropolitan Counties Oxford Waldo State Police Agencies State Police, Kennebec County
MARYLAND ...............
Total Cities Annapolis Baltimore Bel Air Cambridge Chestertown Frederick Universities and Colleges Frostburg State University
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
0
1
0
1
Population2
2 2 1
0 0 0
0 0 0
0 0 0
0 0 0
1 22 13 1 1 0 2 7 1 1 8 1 2 1 1 0 3 1 1 39 32 7 1 5 2 0 1 1 0 1 0 3 0 1 0 1 1 0 3 0 1 2 1 1 1
0 4 2 0 0 0 0 0 2 0 2 1 0 0 0 1 0 0 0 7 7 0 0 1 0 1 0 0 0 0 0 1 1 0 1 1 0 0 1 0 0 0 0 0 0
0 2 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 21 13 3 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0 1 2 1 0 2 0 0 5
0 3 2 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 0 5 5 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
1
0
0 0 1 0 0 1 1
0 1 0 0 0 1 1
1 0 0 2 0 1 0
0 0 0 0 7 1 0
0 2
0 0
1 0 1
1 0
0 0
1 0 2
1 0
1 1
1
0
1
0
3 0 3 0 1 0 0 1 0 0 1 1 1 0 0 0 0 4 0 0 1 0 0
6 0 1 2 0 0 0 0 1 0 2 0 0 0 1 0 0 2 0 1 0 0 0
2 1 3 0 0 1 1 0 0 1 2 0 0 1 2 1 0 1 1 0 2 0 0
0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 1 1
18,572 1,593 30,940 5,197 22,079 3,253 2,564 6,453 15,593 11,658 35,747 3,256 2,414 1,295 9,423 7,704 9,737 62,894 4,702 21,648 23,836 15,631 13,384
1 4 2 1 1 2 1 1 0
0 0 0 0 0 0 0 0 0
5 2 1 1 0 0 0 0 1
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
2
1
0
3
10,478
0 1 0
1 0 0
1 1 0
1 0 1
0 0
0 0
1 1
0 0
0 82 8 1 3 1 2 1 0 9
0 40 4 0 3 0 0 0 1 1
1 19 2 0 2 0 0 0 0 2
0 9 2 1 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0
0
1
0
0
2 0 0 0 0 0
0 2 0 3 0 0
0 4 0 0 1 0
0 2 1 0 0 1
36,462 624,237 10,074 11,479 4,942 59,731
4
0
0
0
0
0
1
2
1
4,910
45,720 3,192 10,577 2,302 3,443 220,614 5,136
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
532
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
St. Mary’s College Towson University University of Maryland, College Park Metropolitan Counties Anne Arundel County Police Department Baltimore County Police Department Carroll Cecil Frederick Harford Howard County Police Department Montgomery County Police Department Prince George’s County Police Department State Police Agencies State Police: Carroll County Cecil County Wicomico County Worcester County Other Agencies Maryland-National Capital Park Police, Prince George’s County State Fire Marshal MASSACHUSETTS ....
Total Cities Acton Amherst Andover Arlington Ashby Attleboro Auburn Ayer Barnstable Bellingham Belmont Beverly Billerica Boston Brockton Brookline Burlington Cambridge Carver Chelmsford Dalton Danvers Dartmouth Dennis Douglas Egremont Everett Falmouth Greenfield Hamilton Haverhill Lancaster Lexington Lowell Lynn Malden Mansfield Medford Middleboro Milford Milton
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
2 2
0 1
0 2
0 0
0 0
1 0
0 1
1 0
0 4
1,957 18,921
1 57
0 32
0 15
0 6
0 0
0
1
0
0
35,102
2
0
0
0
0
2
0
0
0
8 1 1 2 3
5 1 0 0 0
5 0 0 1 0
2 0 0 0 0
0 0 0 0 0
5 0 0 0 0
4 0 1 1 0
6 2 0 2 1
5 0 0 0 2
21
10
5
3
0
5
9
10
15
12
16
0
1
0
14
2
6
7
7 5
0 2
4 0
0 1
0 0
0
5
2
4
4 1 0 0 3
1 0 0 1 1
0 0 0 0 0
0 0 1 0 0
0 0 0 0 0
0 0 1 0
2 1 0 1
2 0 0 0
1 0 0 0
1 2 171 156 2 0 0 5 0 0 0 1 2 1 2 1 1 73 5 2 1 5 1 0 2 0 0 0 1 1 5 2 2 1 1 0 1 0 1 3 0 1 1 0 0
1 0 58 53 1 0 1 1 2 1 1 0 1 0 0 0 0 22 0 0 0 3 0 0 0 1 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1
0 0 80 72 1 1 0 0 0 0 0 0 0 0 0 1 0 49 1 0 0 2 0 1 0 0 1 0 0 0 1 3 0 1 0 0 0 2 0 0 0 0 0 0 0
0 0 42 40 0 0 0 1 0 0 0 0 0 0 1 0 0 20 0 0 0 0 0 1 0 0 0 0 0 0 2 0 1 0 1 1 0 1 0 2 0 0 0 1 0
0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
2 0
0 2
0 0
0 0 0 0 0 1 1 0 1 0 0 0 1 32 3 0 0 3 0 0 0 0 0 0 1
1 1 1 3 0 0 0 1 2 1 2 0 0 45 0 0 0 1 0 0 2 0 1 0 0
1 0 0 1 0 0 0 0 0 0 0 0 0 47 1 0 1 3 1 3 0 1 0 0 0
1 0 2 0 1 0 1
2 2 0 0 1 0 0 3 0 1 0
2 0 0 3 2 0 0 0 0 0 1 2 0 40 2 2 0 3 0 0 0 0 2 1 0 1 4 2 0 2 0 1 0 0 0 3 0 1 1 0
0 1 0 1 0
0 1 1
1 1 1 0 0 0 0 1 0 1 0 0
20,619 33,913 33,615 40,902 2,957 43,474 16,445 7,306 47,342 15,965 23,184 39,493 41,568 591,855 94,180 54,976 24,978 101,161 11,639 33,740 6,627 25,979 31,465 15,666 8,093 1,364 36,826 33,722 17,648 8,262 60,308 7,043 30,220 102,918 87,817 55,538 23,175 55,706 21,503 27,635 25,888
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 533 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Monson New Bedford Newton Northampton North Attleboro Oxford Palmer Peabody Pittsfield Plainville Plymouth Quincy Randolph Revere Rochester Salem Scituate Sharon Somerville Southborough Springfield Sunderland Uxbridge Waltham West Boylston West Springfield Winchester Winthrop Universities and Colleges Assumption College Bentley College Boston College Boston University Clark University Dean College Emerson College Framingham State College Harvard University Massachusetts Institute of Technology Northeastern University University of Massachusetts: Amherst Harbor Campus, Boston Westfield State College Other Agencies Massachusetts Bay Transportation Authority: Middlesex County Suffolk County MICHIGAN ..................
Total Cities Adrian Albion Ann Arbor Argentine Township Auburn Hills Bay City Benton Harbor Benton Township Berkley Berrien SpringsOronoko Township Birmingham Blissfield Bloomfield Township Bridgman Brighton Buchanan Burton Cadillac
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
0 1 0 0 0 1 0 0 0 0 0 0
0 1 1 0 1 0 1 1 0 0 0 2 2 4 1 0 1 0 0 1 0 0 0 0 0 0 0 0
1 2 1 0 0 0 1 0 1 1 1 0 0 2 0 3 0 0 0 1 0 0 1 0 0 4 1 1
0 0 1 0 2 1 1 0 0 0 0 2 0 1 0 1 0 0 1 0 2 0 0 1 1 0 0 0
8,856 92,373 82,731 28,550 28,095 13,760 12,991 52,194 43,194 8,162 56,023 91,382 30,233 46,658 5,530 41,507 18,116 17,100 74,156 9,674 151,074 3,778 12,818 59,425 7,810 27,854 21,155 17,056
0
0
1
0
0 1 0 0
1 1 1
1
2,792 5,555 14,661 31,574 3,071 1,315 4,324 5,836 25,778
1 2 0 0 3 1 2 0 1 2 1 5 2 2 0 2 0 0 1 1 2 1 1 1 0 0 1 0 13 1 1 1 1 0 0 0 0 1
0 0 1 0 0 0 1 1 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 1 4 0 1 5 0 0 0 0 0 0 0 0 1
0 2 1 1 0 0 0 0 0 0 0 0 0 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 1 2 1 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 1 0 0 0 0 0 1 0 2 0 4 0
2 3
0 2
0 0
0 1
0 0
1 1
1 1
0
0 4
10,253 23,411
3 0 0 2
1 1 0 0
2 0 1 0
0 0 0 1
0 0 0 0
1 1 0
1 0 0
2 0 0
2 0 1
25,593 12,362 5,426
1 1 425 381 5 1 5 1 1 1 4 11 0
0 0 73 61 2 0 0 0 0 0 0 0 1
0 0 73 56 1 0 8 0 0 0 0 0 0
1 0 53 47 0 0 2 0 0 0 0 0 0
0 0 4 4 0 0 1 0 0 0 0 0 0
1
2 0 1 0 0 0 0 1 0
2 1 5 0 0 1 4 5 1
2 0 5 0 0 0 0 3 0
2 0 5 1 1 0 0 2 0
21,612 9,267 113,011 7,328 21,149 34,145 10,567 15,626 14,906
1 1 0 2 1 3 11 10 1
0 4 0 0 0 3 0 0 0
0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 2 0 1 0 2 1 2 1
0 0 1 0 0 0 3 1 0
0 2 0 0 1 2 5 3 0
1 1 0 1 0 2 2 4 0
9,570 19,149 3,251 41,231 2,429 7,326 4,444 30,958 10,329
1 1 1 2
0
1 1
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
534
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Canton Township Capac Carleton Center Line Chelsea Chesterfield Township Chikaming Township Clare Clawson Clinton Township Clio Coloma Township Constantine Croswell Dearborn Dearborn Heights Detroit Douglas Eastpointe Eaton Rapids Eau Claire Elk Rapids Emmett Township Escanaba Essexville Farmington Farmington Hills Ferndale Flint Fowlerville Fraser Fremont Garden City Genesee Township Gibraltar Gladstone Grand Blanc Grand Blanc Township Grand Ledge Grand Rapids Grant Green Oak Township Greenville Grosse Pointe Woods Hamburg Township Hampton Township Hamtramck Hancock Hartford Hastings Hillsdale Holland Hudson Inkster Ionia Jonesville Kalamazoo Kalkaska Kentwood Laingsburg Lake Odessa Lansing Lincoln Township Livonia Luna Pier Mackinac Island Madison Heights Madison Township Marshall Mason Meridian Township Milan 1Agencies
3 1 1 1 1 5 1 1 1 5 1 1 1 1 10 1 28 1 9 1 1 1 3 0 2 0 1 3 23 1 1 3 5 9 0 1 1 1 1 10 0 2 11 1 1 1 6 0 1 2 1 2 2 5 1 1 1 1 5 0 1 2 1 3 1 0 1 1 0 1 1 1
Religion
0 0 0 0 0 1 0 1 0 1 0 1 0 0 4 0 9 0 1 0 0 0 0 0 0 1 2 1 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0
Sexual orientation 0 0 0 0 0 1 0 0 1 2 0 0 0 0 1 1 6 1 0 0 0 0 0 1 0 0 0 1 8 0 0 0 0 0 1 0 0 0 1 2 0 0 0 0 0 0 0 0 0 1 0 1 0 2 0 0 0 0 0 0 0 2 0 0 0 1 0 0 2 0 0 0
Ethnicity Disability
0 0 0 0 0 0 1 0 0 2 0 0 0 0 4 0 5 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
1st quarter
2nd quarter
3rd quarter
4th quarter
1 0 0 0 0 4 1 1 1 0 0 0 1 1 4 0 13 0 0 0 0 1 1 0 0 0 1 0 4 0 0 1 1 0 0 0 0 0 0 0 0 0 2 0 0 1 2 0 0 0 0 1 0 0 0 0 0 1 2 0 0 3 0 1 0 0 0 0 0 0 0 0
0 0 0 1 0 2 1 1 0 3 0 0 0 0 10 0 10 1 6 1 0 0 3 1 0 1 1 4 10 1 1 0 4 4 0 1 0 1 1 1 0 1 4 0 0 0 3 1 0 1 1 1 1 5 0 1 0 0 1 0 0 4 1 0 1 0 0 1 2 1 1 0
2 0 0 0 1 0 0 1 1 6 0 1 0 0 3 2 14 0 3 0 0 0 0 0 0 0 1 1 7 0 0 0 2 2 0 0 0 1 1 6 0 1 4 1 0 0 2 0 1 1 0 0 1 2 1 0 1 0 1 1 0 1 0 1 0 0 0 0 0 0 0 1
0 1 1 0 0 1 0 0 0 2 1 1 0 0 2 0 11 2 2 0 1 0 0 0 2 0 0 0 13 0 0 2 0 4 1 0 1 0 0 5 1 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 1 1 0 2 0 1 1 0 0 0 0 0
Population2
88,126 2,308 2,947 8,209 5,014 45,849 3,686 3,198 12,175 96,948 2,606 6,662 2,149 2,554 91,748 54,901 860,971 2,209 32,797 5,304 632 1,708 12,048 12,494 3,523 9,930 79,475 21,207 116,024 3,148 15,068 4,303 28,282 23,961 5,300 5,252 7,749 36,319 7,708 192,376 877 18,279 8,374 15,998 22,486 9,827 21,448 4,156 2,407 7,091 7,842 34,137 2,378 28,233 12,595 2,281 71,462 2,207 46,748 1,276 2,281 113,643 14,496 96,261 1,550 465 29,901 7,977 7,244 8,191 37,958 5,686
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 535 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Monroe Mount Morris Mount Morris Township Mount Pleasant Mundy Township Muskegon Muskegon Heights New Baltimore New Buffalo Niles Northville Northville Township Norton Shores Oak Park Ontwa TownshipEdwardsburg Oscoda Township Parchment Plymouth Plymouth Township Pontiac Portage Port Huron Raisin Township Richfield Township, Roscommon County Riverview Rochester Romulus Roseville Royal Oak Saginaw Saginaw Township Saline Sandusky Scottville Shelby Township Southfield4 South Lyon Sparta St. Clair Shores Sterling Heights St. Joseph Township Sturgis Swartz Creek Taylor Tecumseh Thomas Township Troy Van Buren Township Vassar Warren Waterford Township Wayne West Bloomfield Township Westland White Cloud White Lake Township Williamston Wixom Wyoming Ypsilanti Universities and Colleges Central Michigan University Delta College Eastern Michigan University Lansing Community College Oakland Community College 1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
3 1 2 1 2 3 2 1 2 5 0 3 1 1
0 0 0 1 1 0 0 0 0 0 0 0 0 3
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 1 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 0 1 2 1 0 0 0 2
1 1 0 1 0 1 1 0 0 2 0 2 1 2
1 0 1 1 2 1 1 0 0 1 1 0 0 1
1 0 1 1 1 1 0 0 0 1 0 1 0 0
21,787 3,308 22,966 26,270 14,577 39,562 11,698 12,071 2,429 11,491 6,202 26,528 23,567 30,771
1 2 1 0 2 2 3 4 0
0 0 0 1 1 0 0 0 0
0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 2 0 2
0 0 0 0 0 0 0 0 0
0 0 1 1 0 0 0 2 0
1 1 0 1 1 1 1 1 2
0 1 0 0 1 0 0 0 0
0 0 0 0 1 1 4 1 0
5,930 7,028 1,778 9,046 26,751 67,059 45,287 31,166 7,358
1 1 2 1 1 1 3 2 4 1 1 2 2 1 4 5 1 1 0 2 13 3 1 3 1 3 6 2 0
0 0 0 1 1 0 0 0 0 0 0 2 1 0 0 1 0 0 0 1 0 0 0 0 0 0 2 0 0
0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 1 1
0 1 0 0 0 1 0 0 0 0 0 1 2 0 0 0 1 0 2 0 0 0 0 0 1 0 4 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 2 1 2 1 1 2 0 0 0 0 0 0 1 0 0 0 0 5 1 0 0 0 0 3 0 0
1 0 1 2 1 1 2 1 2 0 0 2 0 0 3 1 0 0 1 2 2 2 0 2 1 3 3 0 1
0 0 1 0 0 0 0 0 0 1 1 1 4 1 1 4 0 1 1 1 4 0 0 1 0 0 7 1 0
0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 3 0 1 0 1 0 2 2 0
4,249 12,447 11,360 24,269 47,329 57,695 56,989 39,736 8,955 2,676 1,263 71,736 75,830 11,226 4,007 60,900 128,555 9,827 11,026 5,394 64,048 8,878 12,670 81,130 28,247 2,738 134,081 71,233 18,203
1 4 2 3 1 1 1 1 7
3 1 0 0 0 1 0 0 3
0 1 0 0 0 0 0 0 6
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 2 0 2 0 0 0 1
2 2 2 0 0 1 0 0
1 2 0 1 1 0 0 0
1 0 0 0 0 1 1 0
64,616 84,293 1,421 30,412 3,825 13,572 70,243 21,672
1 0
0 1
0 0
0 0
0 0
0 0
1 1
0 0
0 0
26,710 10,149
0
0
1
0
0
0
0
1
0
22,950
0
0
1
0
0
0
0
1
0
20,394
1
0
0
0
0
0
1
0
0
24,123
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 4Includes one incident reported with more than one bias motivation.
536
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Oakland University University of Michigan, Ann Arbor Metropolitan Counties Cass Eaton Ingham Kent Livingston Macomb Monroe Newaygo Oakland Ottawa Saginaw St. Clair Nonmetropolitan Counties Arenac Baraga Crawford Grand Traverse Keweenaw Mason Mecosta Montcalm Ogemaw Tuscola Wexford State Police Agencies State Police: Berrien County Isabella County Kalamazoo County Other Agencies Huron-Clinton Metropolitan Authority, Stony Creek Metropark Wayne County Airport MINNESOTA ...............
Total Cities Anoka Bemidji Blaine Bloomington Brooklyn Center Brooklyn Park Burnsville Coon Rapids Cottage Grove Eagan Eden Prairie Edina Elk River Forest Lake Hibbing Lakes Area Lakeville Mankato Maplewood Marshall Minneapolis Minnetonka Montevideo Moorhead Mora New Hope Northfield North St. Paul Oakdale Plymouth Red Wing Rochester
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
2
1
1
0
0
2
0
0
2
17,737
3 25 0 1 1 2 1 8 1 2 3 2 2 2 6 1 0 0 2 1 1 1 0 0 0 0 4
1 3 1 0 0 0 0 1 0 0 0 0 1 0 3 0 1 0 0 0 0 0 0 0 2 0 0
3 6 0 0 1 0 0 2 1 0 0 0 0 2 5 0 0 1 1 0 0 0 0 1 1 1 0
0 2 0 0 0 0 0 1 0 0 0 0 1 0 3 0 0 0 1 0 0 0 1 0 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4
1
0
2
40,025
0 0 1 1 0 3 0 1 0 1 0 3
0 0 0 1 0 5 0 1 0 1 2 0
0 1 0 0 1 1 2 0 1 0 1 1
1 0 1 0 0 3 0 0 2 0 1 0
0 0 1 2 0 0 0 0 1 0 0
1 1 0 2 0 1 0 0 0 2 0
0 0 0 0 1 0 0 1 0 2 1
0 0 0 0 0 0 1 0 0 0 0
1 1 2 2
0 0 0 3
0 0 0 0
0 0 0 1
0 0 0 0
0 1 0
1 0 0
0 0 1
0 0 1
1 1 78 73 0 3 0 2 0 8 2 1 1 1 1 1 4 1 1 1 0 1 1 0 16 0 1 0 1 0 1 0 0 0 3 2
1 2 18 16 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 4 1 0 0 0 0 0 0 0 0 1 0
0 0 27 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 16 0 0 1 0 0 0 1 1 0 0 1
1 0 32 32 1 0 1 1 1 2 0 1 0 0 1 0 1 1 0 0 0 1 0 1 8 0 0 0 0 1 0 0 0 1 1 0
0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
0 2
3 1
0 0
0 0
0 1 0 1 1 1 0 0 0 0 0 1 0 2 0 0 0 0 0 0 9 0 0 0 0 0 1 1 0 1 1 0
0 0 0 1 0 5 0 2 1 0 1 0 2 0 0 0 1 1 0 1 12 0 1 1 1 0 0 0 0 0 3 2
1 2 1 0 0 2 1 0 0 0 0 0 3 0 1 0 1 1 1 0 12 0 0 0 0 1 0 0 0 0 0 1
0 0 0 1 0 3 1 0 0 2 1 1 0 0 0 1 0 0 0 0 12 1 0 0 0 0 0 0 1 0 1 0
17,413 13,448 56,747 80,218 27,118 70,112 59,127 62,299 33,288 63,718 61,910 45,007 23,224 17,984 16,198 8,333 54,565 35,331 35,444 12,410 371,240 49,751 5,305 35,052 3,521 20,301 19,447 11,201 27,306 70,737 15,705 98,287
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 537 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Roseville Savage St. Cloud Stillwater St. Louis Park St. Paul Wheaton White Bear Lake Willmar Woodbury Universities and Colleges University of Minnesota, Twin Cities Metropolitan Counties Carver Nonmetropolitan Counties Beltrami Douglas McLeod MISSOURI....................
Total Cities Aurora Blue Springs Bourbon Cameron Chillicothe Dixon Eldon Excelsior Springs Gladstone Grain Valley Grandview Hamilton Holden Independence Jefferson City Kansas City Kirksville Lee’s Summit Marble Hill Marshall Monroe City Nixa O’Fallon Peculiar Richmond Rolla Seneca Sikeston Springfield St. John St. Louis St. Peters Warrensburg Universities and Colleges University of Missouri: Columbia Kansas City Metropolitan Counties St. Charles St. Louis County Police Department Warren Nonmetropolitan Counties Douglas
MONTANA...................
Total Cities Billings Colstrip Great Falls Havre Helena Missoula
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
0 2 2 1 2 4 1 5 1 2 0
1 0 1 0 1 3 0 0 0 0 1
0 0 1 0 0 3 0 0 0 0 0
0 0 3 0 0 6 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0
0 0 1 1 2 1 0 2 1 0
0 2 2 0 0 5 0 1 0 0
0 0 1 0 0 5 1 2 0 1
1 0 3 0 2 5 0 0 0 1
31,645 28,266 67,290 18,116 43,001 271,662 1,463 23,486 18,012 55,376
0 0 0 5 3 1 1 82 70 1 1 1 2 1 1 1 1 1 1 1 0 1 8 0 4 2 3 1 1 1 1 1 1 1 4 1 1 8 1 16 1 1 4
1 0 0 1 1 0 0 12 10 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 3 1 2 0 0 2
0 1 1 1 1 0 0 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 3 0 0 1
0 0 0 0 0 0 0 10 7 0 0 0 0 0 0 0 0 0 1 0 1 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
0
0
1
0
50,402
0
0
1
0
0 0 0
1 0 1
2 1 0
2 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 2 1 2 1 0 0 0 0 0 0 0 0
0 0 1 1 0 0 0 0 0 0 0 0
2 1 5 1 0
1 1 0 0 1 0 1 1 0 1 0 1 0 2 1 0 0 2 0 1 0 0 0 0 0 1 0 1 9 0 6 0 0
3 1 8 4
2 0 0 0
1 0 0 0
0 0 3 1
0 0 0 0
1 1
3 1 0 0 7 5 0 0 1 0 3 1
0 0 0 0 3 1 0 0 0 0 0 1
0 0 1 1 6 5 0 0 0 1 0 4
1 1 0 0 4 2 1 1 0 0 0 0
0 0 0 0 1 1 0 0 0 0 1 0
7 0 2 1 1 0 0 0 0 1 1 0 3 1 0 3 0 3 0 0
1 0 0 0 1 0 0 1 1 1 0 1 1 0 0 0 2 0 0 1 1 0 0 1 2 0 0 0 1 7 0 1
7,421 54,718 1,415 9,015 8,700 1,519 4,991 11,747 27,686 10,225 24,322 1,800 2,525 108,879 39,121 447,725 16,934 83,558 1,515 12,281 2,541 18,220 76,542 4,495 6,029 18,208 2,277 17,188 150,488 6,444 348,197 55,291 18,206
1 0
1 0
3 0
28,184 14,213
0
2
3
0
1 1
1 0
2 1
0 0
0
0
1
0
0 0 0 0 0 1
1 0 0 0 0 2
0 0 1 1 3 2
0 1 0 0 1 1
101,342 2,342 56,159 9,414 28,128 65,037
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
538
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Metropolitan Counties Missoula Nonmetropolitan Counties Flathead Lewis and Clark Ravalli Silver Bow NEBRASKA.................
Total Cities Fairbury Hastings Kearney Lincoln Omaha Papillion Wahoo Nonmetropolitan Counties Platte Scotts Bluff
NEVADA ......................
Total Cities Las Vegas Metropolitan Police Department North Las Vegas Reno Metropolitan Counties Washoe Nonmetropolitan Counties Nye Other Agencies Washoe County School District
NEW HAMPSHIRE....
Total Cities Auburn Bow Concord Derry Exeter Farmington Hanover Henniker Hudson Keene Laconia Lee Londonderry Loudon Merrimack Milford Nashua New Boston Pembroke Pittsfield Portsmouth Rindge Rochester Seabrook Windham
NEW JERSEY..............
Total Cities Aberdeen Township Absecon Allenhurst Allentown Asbury Park Atlantic City Barnegat Township Bayonne Bedminster Township Belleville Berkeley Township
1Agencies
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
1
2
0
0
0 0 1 0
1 0 0 1
0 1 0 0
0 0 0 0
1 0 2 11 1 0 0
0 1 1 11 6 3 0
0 0 2
0 1 0
1 0
0 1
0 0
0 0
0 1
1 0
12 0 1
14 0 0
1,341,156 211,419 214,197
1 1 1 0 1 0 0 26 24 1 1 4 15 2 1 0 2 1 1 25 21
1 1 1 0 0 1 0 2 2 0 0 0 1 0 1 0 0 0 0 16 14
1 1 0 0 0 0 0 9 9 0 1 0 5 2 0 1 0 0 0 8 8
0 0 2 1 0 0 1 7 7 0 0 1 1 3 2 0 0 0 0 14 14
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
18 1 2 1 1 2 2 1
14 0 0 0 0 1 1 1
6 1 1 0 0 0 0 0
14 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
13 2 0
13 0 2
0
1
0
2
1
1 19 19 0 1 2 1 1 1 0 2 0 0 1 0 0 1 3 0 2 0 0 0 1 0 2 1 0 349 347 11 1 1 0 2 2 7 0 0 0 2
1 11 11 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 1 1 0 1 0 1 245 245 8 0 0 0 1 1 0 1 1 1 1
0 10 10 1 0 0 0 0 1 1 0 0 1 0 1 1 0 0 0 0 1 0 0 1 1 1 0 0 85 85 10 0 0 1 2 0 0 1 0 0 0
0 2 2 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 64 64 1 0 0 0 0 0 0 0 0 0 0
0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 5 0 0 0 0 0 0 0 0 0 0 0
2
0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 1 1 2 1 1
1 0 2 1 0 0 1 0 1 3 0 1 0 1 0 0 2 0 0 0 2 0 2 0 0
0 0 0 0 2 2 0 0 0 0 2 0 1 0 1 1
0 1 0 0 0 0 0 2 0 0 0 0 0 0 1 0
1 0 1 0 0 0 0 0
0 1 0 0 0 0 0 0
5,235 8,250 42,638 34,118 14,851 6,688 11,198 5,187 24,996 22,693 17,153 4,481 25,121 5,215 26,847 15,271 87,217 5,121 7,466 4,476 20,584 6,541 30,355 8,588 13,283
4 0 0 1 1 1 1 0 1 0 0
9 0 0 0 3 1 1 0 0 1 2
2 1 1 0 0 1 4 0 0 0 1
15 0 0 0 1 0 1 2 0 0 0
18,301 8,029 698 1,839 16,473 39,781 21,098 58,583 8,412 34,291 42,388
3,969 25,250 29,652 243,243 431,810 21,748 4,060
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 539 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Berlin Township Bernards Township Bloomfield Bloomingdale Bound Brook Bradley Beach Branchburg Township Bridgewater Township Brigantine Buena Burlington Township Caldwell Camden Carteret Cedar Grove Township Chatham Chatham Township Cherry Hill Township Clifton Clinton Township Collingswood Cranbury Township Cranford Township Delanco Township Denville Township Deptford Township Dumont Dunellen Eastampton Township East Brunswick Township East Greenwich Township East Hanover Township East Orange East Windsor Township Edison Township Egg Harbor Township Elizabeth Englishtown Ewing Township Fair Lawn Fairview Franklin Lakes Franklin Township, Hunterdon County Franklin Township, Somerset County Freehold Freehold Township Galloway Township Glassboro Glen Rock Gloucester Township Hackensack Hackettstown Haddonfield Haddon Township Hamilton Township, Atlantic County Hamilton Township, Mercer County Harding Township Hardyston Township Harrison Township Hawthorne Hazlet Township High Bridge Highland Park Hightstown Hillsborough Township Hoboken Holmdel Township Hopatcong
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
1 1 1 0 1 0 0 0 1 1 2 2 1 2 3 0 1 6 1 4 0 0 1 0 1 2 0 0 1 5 1 1 0 0 8 1 0 0 3 2 0 2
0 0 0 0 0 0 1 2 1 0 0 0 0 0 1 0 0 1 2 0 3 0 0 0 0 2 1 1 0 6 0 0 1 0 6 1 0 0 0 6 0 2
0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 2 0 2 1 1 0 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 2 1 0 0 0 0 0 0 0 6 1 0 1 1 1 0 0
0 0 0 0 0 1 0 1 1 0 0 0 0 0 2 1 1 1 0 1 3 1 0 0 0 0 0 0 0 5 0 0 0 0 3 1 1 0 1 1 1 3
0 0 0 1 0 0 0 0 1 0 1 0 0 2 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 2 1 0 1 1 5 0 1 0 1 2 0 1
1 0 0 0 1 0 1 0 0 1 1 2 1 0 3 0 0 1 3 2 0 0 1 1 0 3 0 1 1 5 0 1 0 0 3 0 1 0 2 4 0 1
5,381 27,020 45,171 7,570 10,180 4,763 14,982 44,620 12,829 3,787 21,691 7,340 78,967 22,165 12,791 8,353 10,233 71,269 79,253 14,020 13,899 3,882 22,270 4,205 16,597 30,082 17,288 6,909 6,667 47,438 6,758 11,581 66,949 26,807 99,082 38,621 125,621 1,833 36,753 31,108 13,568 11,290
2
1
0
0
0
0
1
0
2
3,138
1 4 5 2 4 1 6 1 2 0 3
0 1 2 0 4 0 2 0 0 2 0
0 0 1 0 0 0 1 0 0 0 0
0 0 0 1 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 0
1 1 0 1 3 0 2 0 0 2 0
0 2 3 2 3 0 2 1 0 0 1
0 0 3 0 0 1 3 0 0 0 2
0 2 2 0 2 0 2 0 3 0 0
60,006 11,344 33,803 36,045 19,274 11,346 65,396 43,478 9,436 11,464 14,420
1
2
0
0
0
1
0
1
1
24,315
4 1 1 1 0 2 2 2 0 2 0 0 3
4 1 0 3 0 1 0 1 1 10 1 0 0
1 0 0 1 1 3 0 0 0 0 3 0 0
0 0 0 0 0 2 0 0 1 1 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0
2 1 0 1 1 2 1 0 1 1 3 0 0
0 0 0 2 0 5 0 3 0 4 0 1 3
3 0 0 0 0 0 0 0 1 4 1 0 0
4 1 1 2 0 1 1 0 0 4 0 0 0
90,158 3,348 8,246 11,797 18,086 20,843 3,746 14,112 5,277 37,941 39,676 16,759 15,814
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
540
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Hopewell Township Howell Township Jackson Township Jersey City Keansburg Kinnelon Lacey Township Lakehurst Lakewood Township Lambertville Lawrence Township Lebanon Township Little Egg Harbor Township Little Falls Township Little Ferry Little Silver Lodi Logan Township Long Beach Township Lumberton Township Madison Magnolia Mahwah Township Manalapan Township Manchester Township Maple Shade Township Margate City Marlboro Township Medford Lakes Medford Township Mendham Middle Township Middletown Township Milltown Millville Monroe Township, Gloucester County Monroe Township, Middlesex County Montclair Montvale Montville Township Moorestown Township Mount Arlington Mount Holly Township Mount Laurel Township Mount Olive Township National Park Neptune City Neptune Township Newark New Brunswick New Providence Newton North Brunswick Township North Plainfield North Wildwood Norwood Nutley Township Oakland Oaklyn Ocean Gate Ocean Township, Monmouth County Old Bridge Township Oradell Oxford Township Park Ridge Parsippany-Troy Hills Township 1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
0 12 4 9 22 0 5 1 12 1 5 0
0 5 3 0 3 1 0 1 22 0 1 1
0 0 0 6 5 0 0 0 1 0 1 0
1 3 1 0 5 0 0 0 1 0 1 0
0 2 0 0 0 0 1 0 0 0 0 0
0 3 2 2 8 0 5 0 7 0 1 1
0 6 1 4 11 0 0 0 11 0 2 0
0 8 4 5 9 1 0 0 5 0 2 0
1 5 1 4 7 0 1 2 13 1 3 0
17,888 50,324 52,073 240,718 10,526 9,638 26,184 2,662 69,298 3,791 31,939 6,264
3 6 0 0 1 1 1 1 2 1 0 3 2 1 0 2 1 0 0 3 2 1 3
4 7 0 0 0 0 0 0 4 0 1 3 4 0 1 6 0 1 1 5 0 0 0
0 4 0 2 3 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0
3 0 1 1 2 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 3 1 0 3 0 0 0 0 1 0 3 0 1 1 0 0 0 0 5 1 0 3
2 7 0 1 1 0 0 1 1 0 0 1 0 1 0 5 0 1 1 2 1 1 0
2 2 0 1 2 1 1 0 2 0 1 2 1 0 0 3 1 0 0 1 0 0 0
5 5 0 1 0 0 0 0 3 0 0 2 5 0 0 1 0 0 0 0 0 0 0
20,193 11,777 10,668 6,062 24,202 6,150 3,483 12,276 15,945 4,360 24,451 37,004 41,628 19,454 8,563 39,667 4,143 23,295 5,153 16,306 67,279 7,007 28,069
6
1
0
1
0
2
2
4
0
31,793
2 3 1 0 1 1 1 1 2 1 0 4 1 1 1 1
5 2 0 1 0 0 0 0 2 0 1 1 0 2 0 0
0 0 0 0 0 0 0 0 1 0 0 2 0 5 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 1 1 0 1 1 2 0 0
0 1 0 0 0 0 0 0 3 0 0 0 0 5 0 0
3 3 0 1 0 0 1 0 1 0 0 4 0 0 0 0
4 0 1 0 1 1 0 1 0 0 1 2 0 1 1 2
34,752 37,144 7,276 21,347 19,907 5,683 10,555 40,147 25,950 3,201 5,127 28,038 280,158 49,950 11,862 8,300
2 0 0 0 0 1 0 1
2 1 0 2 0 4 0 1
1 0 1 0 0 0 1 0
0 0 0 0 1 1 0 0
0 0 0 0 0 0 0 0
1 0 1 1 0 1 0 0
0 1 0 1 1 1 0 1
2 0 0 0 0 2 1 0
2 0 0 0 0 2 0 1
39,676 21,642 4,782 6,239 26,891 13,498 4,062 2,121
0 0 0 1 1
1 1 0 0 0
0 0 0 0 0
0 0 1 0 0
0 0 0 0 0
1 0 1 0 0
0 1 0 0 0
0 0 0 0 0
0 0 0 1 1
27,362 65,370 7,922 2,610 8,905
2
2
0
2
0
1
0
3
2
51,609
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 541 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Passaic Paulsboro Pennsauken Township Pennsville Township Phillipsburg Pine Hill Piscataway Township Plainfield Plainsboro Township Pohatcong Township Point Pleasant Point Pleasant Beach Princeton Prospect Park Raritan Raritan Township Readington Township Red Bank Ridgewood River Vale Township Rockaway Township Roselle Roxbury Township Runnemede Rutherford Salem Sayreville Sea Bright Somerville South Brunswick Township South Harrison Township South Orange South Plainfield South River Spotswood Springfield Stafford Township Stanhope Teaneck Township Tinton Falls Totowa Trenton Union Beach Union City Union Township Ventnor City Vernon Township Voorhees Township Wallington Wanaque Warren Township Washington Washington Township, Gloucester County Washington Township, Mercer County Washington Township, Morris County West Caldwell Township West Long Branch Winslow Township Woodbridge Township Woodbury State Police Agencies State Police: Sussex County Warren County NEW MEXICO ............
Total Cities Albuquerque Farmington Tularosa
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
3 1 1 0 1 2 9 0 0 0 2 3 0 0 0 2 1 1 0 0 0 1 1 0 0 1 2 1 0
1 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 1 1 1 0 0 1 0 0 0 0 2
0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
1 0 0 1 0 0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 1 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0
1 0 1 0 1 0 9 0 1 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 1 0 1 0 1
0 0 0 1 0 0 0 0 0 1 2 1 1 0 1 1 0 0 1 0 0 0 1 0 0 0 0 1 0
1 0 0 0 1 2 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1
67,673 6,035 35,286 13,274 14,765 11,225 52,425 47,143 21,119 3,395 19,794 5,374 13,623 5,695 6,399 22,619 16,223 11,798 24,530 9,708 25,675 21,064 23,698 8,424 17,792 5,758 42,372 1,791 12,494
5
3
2
1
0
0
3
4
4
40,390
2 1 2 0 2 0 1 1 1 2 0 2 0 0 0 0 0 3 0 0 1 2
1 3 1 0 2 2 0 0 6 3 1 0 1 0 2 0 0 2 1 0 2 1
0 0 0 0 0 0 0 0 0 1 0 0 0 3 0 1 0 0 1 0 0 0
0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 1 0 3 1 1 0 2 0 0 0 1 0 1 1 0 0 0 0 3 1
0 1 1 1 0 0 0 1 2 1 0 0 0 1 1 0 0 1 2 1 0 1
0 4 0 0 0 1 0 0 2 4 1 0 0 1 0 0 1 1 0 0 0 1
2 0 1 0 1 0 0 0 1 1 0 2 0 1 0 0 0 3 0 0 0 0
2,943 16,298 22,694 15,752 8,143 14,652 25,705 3,650 39,435 17,006 10,587 83,551 6,602 63,647 54,795 12,508 25,340 29,261 11,379 11,122 15,746 6,811
4
4
0
0
0
4
0
2
2
51,595
0
2
0
1
0
1
1
1
0
11,853
0 1 1 10 0 2 2
1 0 7 0 0 0 0
0 0 2 0 0 3 0
0 0 0 1 1 0 0
0 1 1 0 0 0 0
0 0 3 4 0 1
1 1 2 1 0 2
0 0 3 2 0 1
0 1 3 4 1 1
18,608 10,749 8,275 38,441 98,769 10,364
1 1 9 8 6 1 1
0 0 0 0 0 0 0
0 0 1 1 1 0 0
0 0 4 4 4 0 0
0 0 0 0 0 0 0
0 1
1 0
0 0
0 0
2 0
1 0
6 0 1
2 1
513,124 44,396 2,803
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
542
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Metropolitan Counties Bernalillo NEW YORK..................
Total Cities Ballston Spa Village Binghamton Brockport Village Colonie Town Dobbs Ferry Village Elmira Liberty Village Mount Hope Town New Rochelle New York Poughkeepsie Rochester Rotterdam Town Suffern Village Utica Universities and Colleges Cornell University State University of New York: Buffalo Maritime College State University of New York Agricultural and Technical College, Alfred State University of New York College: Buffalo Geneseo Metropolitan Counties Dutchess Monroe Nassau Niagara Saratoga Suffolk County Police Department Westchester Public Safety Nonmetropolitan Counties Sullivan
NORTH CAROLINA..................
Total Cities Albemarle Archdale Cary Charlotte-Mecklenburg Concord Dunn Durham Hickory High Point Lexington Mount Airy Oxford Raleigh Reidsville Roxboro Salisbury Siler City Southern Pines Spruce Pine Washington Universities and Colleges University of North Carolina, Greensboro Metropolitan Counties Catawba Chatham
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1 1 126 85 1 1 0 1 0 1 0 0 0 69 1 10 1 0 0 4 0
0 0 271 167 0 0 3 0 0 0 0 1 0 161 1 0 0 1 0 1 0
0 0 73 61 0 0 0 0 0 0 0 0 1 52 2 5 0 0 1 3 0
0 0 22 14 0 0 0 0 1 0 1 0 0 12 0 0 0 0 0 1 1
0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
1 1
0 0
0 0
0 0
0 0
1
0
0
0
0
0 1 37 1 2 10 3 4
0 1 103 0 1 50 1 0
1 2 8 0 0 4 0 0
0 0 7 0 0 3 0 0
0 0 0 0 0 0 0 0
15 2 0 0
51 0 0 0
4 0 1 1
4 0 0 0
0 0 0 0
46 26 0 0 1 6 2 1 3 1 1 0 0 1 2 1 1 4 1 0 0 1 0
6 3 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0
10 7 0 0 0 2 0 0 1 0 0 0 0 0 2 0 0 1 0 1 0 0 1
13 10 1 1 0 1 0 0 1 0 1 2 2 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 17 0 4
0 1 0 0
1 2 0 0
0 3 1 0
0 0 0 0
1st quarter
2nd quarter
3rd quarter
4th quarter
0
0
0
1
0 0 0 0 0 0 1 0
0 0 0 1 0 1 0 0 0 72 2 8 1 0 0
1 1 3 0 1 0 0 1 0 61
0 0 0 0 0 0 0 0 1 99 2 3 0 1 1
63 2 0 0
2 0 0 0 1
1
1 1
1
0 1
1 1
5,511 44,931 8,138 77,550 11,206 29,375 3,973 7,581 73,603 8,220,196 30,074 206,686 29,547 10,944 58,888 19,639
1 1
1
Population2
27,823 1,324
3,201
11,220 5,530
1
1 0
0 2
1 1 40 1 0
27 2 1
18 0
10 0
16 1
30 1
0
0
0
1
0 0 0 0 0 0 2 1 0 1 0 0 2 0 1 1 0 1 0 1
0 0 1 1 1 0 1 0 0 1 2 1 2 1 0 0 1 0 0 0
1 0 0 6 1 1 2 0 2 0 0 0 1 0 0 1 0 0 1 0
0 1 0 3 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0
15,355 9,474 114,221 733,291 63,284 10,072 211,873 41,008 99,297 20,452 8,448 8,567 367,120 14,906 8,738 28,449 8,636 12,351 1,973 10,092
1
0
0
0
16,872
1 0
0 1
0 2
0 1
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 543 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Cumberland Currituck Guilford Johnston New Hanover Rockingham Nonmetropolitan Counties Caswell Iredell Rutherford Transylvania NORTH DAKOTA ......
Total Cities Bismarck Fargo Grafton Jamestown Mandan Metropolitan Counties Burleigh Morton Nonmetropolitan Counties Mountrail Stark Walsh
OHIO .............................
Total Cities Akron Alliance Amherst Athens Bath Township Beavercreek Blue Ash Boardman Bowling Green Cincinnati Cleveland Columbus Dayton Defiance Fairborn Findlay Fremont Gahanna Galion Garfield Heights Genoa Township Germantown Granville Grove City Groveport Hamilton Heath Hubbard Township Huber Heights Indian Hill Jackson Township, Stark County Lakewood Lebanon Mansfield Marysville Mason Miami Township Millersburg Niles Norwalk Oregon Orwell Parma Piqua
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
0 0 1 0 0 0
1 0 1 1 1 1
0 2 0 3 4 0
0 0 1 0 2 0
0 0 0 0
0 0 0 0
0 1 1 0
1 1 0 1
1 0 0 0 0
0 0 1 0 1
0 0 1 1 0
0 1 0 1 1
1 1
0 0
0 1
0 0
Population2
1 0 2 4 5 1 3 0 1 1 1 12 6 1 0 2 1 2 3 1 2 3 1 1 1 161 143 8 1 2 3 2 0 1 1 0 5 16 41 2 0 4 2 2 3 1 1 0 1 1 0 0 0 1 1 7 1
0 0 0 0 1 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 23 0 0 2 0 1 0 1 0 0 0 0 11 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
0 1 0 0 1 0 0 0 0 0 0 2 2 0 1 0 1 0 0 0 0 0 0 0 0 53 47 2 0 0 1 0 0 0 0 1 0 0 22 1 1 0 4 1 0 0 0 1 0 0 0 0 0 0 0 0 0
0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 43 41 1 0 0 0 0 1 0 0 0 2 2 16 0 0 0 3 0 0 0 0 0 0 0 1 1 2 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 20 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
1 1 0
0 0 1
0 0 0
1 1 1 0 1 0 0 0 0 1 6 22 1 0 0 2 0 1 1 0 0 0 0 0 0 1 0 0 2 0
4
3
3
0 2 2 1 0 0 1 3 6 32 1 0 0 1 0 2 0 1 0 0 0 0 1 1 0 1 2 1
3 2 0 0 1 1 0 0 4 30 1 0 4 2 3 0 0 2 1 1 0 0 0 0 1 0 1 0
0 0 0 0 1 0 0 3 2 10 0 1 0 4 0 0 0 0 0 1 1 0 0 0 0 3 0
208,701 22,703 11,850 20,833 10,277 39,552 11,409 40,038 29,733 332,388 439,888 735,981 155,526 16,159 31,705 38,038 16,885 33,140 11,093 28,221 15,674 5,126 5,306 32,472 5,087 62,330 8,936 5,826 37,588 5,611
2 1 1 1 2 1 0 0 2 1 0 1 2 0
0 0 0 0 0 0 1 0 0 0 0 0 0 0
0 1 0 6 0 1 0 0 0 0 1 0 0 2
0 0 0 1 0 1 0 1 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 1 0 0 0 0 0
1 0 1 3 0 2 1 1 0 1 0 0 0 0
1 1 0 1 1 1 0 0 1 0 0 1 0 2
0 0 0 4 1 0 0 0 1 0 1 0 2 0
39,149 51,606 20,828 50,004 17,829 30,640 40,056 3,610 19,675 16,586 19,074 1,501 79,250 20,875
58,648 89,998 4,118 14,696 17,521
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
544
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Portsmouth Reynoldsburg South Euclid Springfield Township, Hamilton County Stow Union Utica Van Wert West Chester Township Westerville Whitehall Wilmington Wooster Worthington Youngstown Zanesville Universities and Colleges Ohio State University University of Cincinnati Metropolitan Counties Butler Clermont Greene Licking Lucas Preble Stark Union Nonmetropolitan Counties Coshocton Muskingum Ross Seneca Wayne Other Agencies Cleveland Metropolitan Park District OKLAHOMA...............
Total Cities Ada Broken Arrow Catoosa Chickasha Cleveland Cushing Dewey Edmond El Reno Guthrie Hollis Mangum Midwest City Mustang Norman Okemah Pawnee Poteau Sallisaw Snyder Stillwater Stroud Universities and Colleges Oklahoma State University, Main Campus Metropolitan Counties Sequoyah Nonmetropolitan Counties Bryan Harper
OREGON......................
Total Cities Albany Ashland
1Agencies
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
2 0 0
7 2 0
6 0 1
6 0 0
20,030 33,210 21,559
0 0 0 0 0 1 1 0 1 0 0 0
1 2 1 1 1 2 0 0 0 0 1 0
2 1 0 0 1 0 1 0 1 0 2 2 0
1 0 0 0 0 2 0 0 0 0 2 0 1
35,051 34,617 6,345 2,103 10,381 55,216 34,907 17,719 12,806 25,914 12,941 81,521 25,332
1 0
2 1
0
1 0
51,818 28,327
1 1 0 1 1 0 0 0
3 0 0 0 0 1 0 0
0 1 0 1 0 0 1
0 0 0 1 1 2 0
3
0 1 1 1 0
0
1 1 0
0 0 0 7 1
1 2 0
0 0 1
0 0 0
4 0 0
16 0 0
3 1 2 1 1 2 3 0 0 1 2 2 1 5 4 1 7 2 1 0 1 1 0 2 0 5 2 1 1 0 1 1
0 1 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 6 2 0 1 0 2 1 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 10 0 0
1 22 20 1 0 1 2 1 1 1 0 1 1 1 0 1 0 2 1 1 1 1 1 1 1 0
0 2 2 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
0 3 3 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0
0 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
1
0
0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0
1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1
0 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 0 0 1 1 0 0
0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0
15,901 89,463 6,789 17,346 3,230 8,479 3,281 77,879 16,221 11,074 2,072 2,695 55,315 16,960 103,721 2,965 2,222 8,347 8,842 1,430 45,692 2,777
0 1 1 1 1 0 77 67 1 0
0 0 0 0 0 0 28 20 0 0
0 0 0 0 0 0 37 34 0 1
1 0 0 1 0 1 27 24 0 0
0 0 0 0 0 0 1 1 0 0
0
0
0
1
23,499
0
0
0
1
0 0
0 0
0 0
1 1
0 1
1 0
0 0
0 0
0 1 0
46,999 21,068
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 545 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Beaverton Bend Boardman Canby Corvallis Eagle Point Grants Pass Hermiston Keizer La Grande Lincoln City Medford Newberg-Dundee Newport Portland Redmond Rogue River Roseburg Salem Seaside Silverton Springfield Stayton Tigard Tillamook Woodburn Metropolitan Counties Benton Clackamas Deschutes Jackson Lane Marion Yamhill Nonmetropolitan Counties Douglas Lincoln Tillamook Umatilla State Police Agencies State Police, Washington County PENNSYLVANIA .......
Total Cities Abington Township Bensalem Township Camp Hill Carlisle East Cocalico Township East Hempfield Township Harrisburg Hatfield Township Hopewell Township Johnstown Lancaster Moosic Northern York Regional Philadelphia Pittsburgh Springdale Spring Township, Berks County Swatara Township Westtown-East Goshen Regional York Area Regional Universities and Colleges West Chester University State Police Agencies State Police: Chester County Monroe County Pike County
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
6 0 0 0 2 1 1 1 1 0 0 3 1 3 20 2 0 0 2 0 0 4 1 16 0 2 6 1 2 0 1 1 0 1 3 1 1 0 1 1
1 0 0 1 0 0 0 0 1 0 0 0 0 0 11 0 1 0 0 0 0 0 0 5 0 0 5 1 1 0 1 1 1 0 3 1 2 0 0 0
0 2 1 0 0 0 0 0 0 0 0 0 0 0 22 0 0 1 3 0 1 2 0 0 0 1 1 1 0 0 0 0 0 0 2 1 0 1 0 0
3 0 0 0 2 0 0 0 0 1 1 0 0 1 9 0 0 0 3 1 0 2 0 0 1 0 3 0 0 1 0 1 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 1 0 0 0 0 0 1 0 0 24 0 0 0 3 0 0 3 1 12 0 0
2 1 1 0 0 0 0 0 2 1 1 1 1 1 17 1 0 0 1 0 0 4 0 2 0 3
6 1 0 0 2 0 0 0 0 0 0 1 0 0 12 1 1 0 2 0 0 1 0 6 0 0
1 0 0 1 2 0 1 1 0 0 0 0 0 3 10 0 0 1 2 1 1 0 0 1 1 0
2 0 0 0 2 0 0
0 0 0 1 1 0 0
1 2 1 1 0 0 0
0 1 0 0 0 2 1
0 1 1 1
0 1 0 0
0 0 0 0
3 1 0 0
1 40 35 6 0 0 2 1 1 0 1 1 1 1 0 1 12 6 1
0 25 22 4 0 1 0 0 0 0 0 0 0 0 0 0 13 1 0
0 13 7 0 1 0 0 0 0 0 0 0 1 0 1 0 3 0 0
0 5 5 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
1
0
2 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0
2 1 1 0 0 1 0 1 0 1 1 0 1 7 0 0
4 0 0 2 1 0 1 0 1 0
2 0 0 0 0 0 0 0
1 0 3 5 1
0 0 17 3 0
54,413 58,788 7,384 18,317 10,398 23,212 46,924 20,241 12,511 23,609 54,562 5,793 63,294 1,435,533 312,179 3,507
1 0
0 0
0 1
0 1
0 0
0 0
1 1
0 1
0 0
26,659 22,281
0 0 5 5 0
0 3 1 1 2
0 0 5 5 1
1 0 0 0 0
0 0 0 0 0
0 0
0 0
1 3
0 0
31,691 57,252
3
3
5
0
12,879
0 0 0
1 1 0
0 0 1
0 0 0
0 0 0
0
0 1 0
1
1
0
0
91,184 75,185 3,094 15,725 49,870 8,547 30,292 15,148 35,423 12,288 7,996 71,969 25,209 9,953 538,133 24,095 1,943 21,128 154,484 6,229 9,200 56,201 7,385 50,087 4,435 22,399
0 0
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
546
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
RHODE ISLAND........
Total Cities East Providence Pawtucket Providence South Kingstown Warwick West Warwick Universities and Colleges Brown University
SOUTH CAROLINA..................
Total Cities Batesburg-Leesville Beaufort Bennettsville Chapin Cheraw Clinton Clover Darlington Denmark Florence Goose Creek Great Falls Hanahan Hartsville Hemingway Lexington Lyman Manning Mount Pleasant Myrtle Beach North Augusta Port Royal Rock Hill Simpsonville Spartanburg Summerville Union Walterboro Westminster York Universities and Colleges College of Charleston Metropolitan Counties Aiken Anderson Berkeley Charleston Darlington4 Greenville Horry County Police Department Kershaw Lexington Richland Saluda Spartanburg Nonmetropolitan Counties Beaufort Chester Chesterfield Clarendon Colleton Greenwood Hampton Lee Marion Marlboro Oconee Williamsburg
1Agencies
Religion
Sexual orientation
Ethnicity Disability
20 19 1 0 15 1 1 1 1 1
5 5 0 0 5 0 0 0 0 0
9 9 0 1 8 0 0 0 0 0
13 13 0 0 13 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
72 35 1 6 0 0 2 1 1 0 1 3 0 1 0 0 3 2 1 1 3 1 1 0 0 0 0 1 2 1 1 2 0 0 18 2 3 0 1 4 2
20 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 3 0 0 0 0 6 0 0 0 0 0 3
16 8 0 0 1 1 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 3 0 0 1 0 0 1
16 12 0 1 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 1 0 2 0 1 1 0 1 0 0 2 0 0 0 0 2 0 0 1 0 1 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
1 2 1 0 1 1 19 1 3 1 0 1 1 5 0 1 1 2 3
1 0 0 1 0 1 9 0 8 0 0 1 0 0 0 0 0 0 0
0 0 0 1 0 0 4 0 1 2 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 2 0 0 0 1 1 0 0 0 0 0 0 0
0 0 0 0 0 1 2 0 0 0 0 0 0 0 2 0 0 0 0
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
0 0 7 1 0 1
0 0 10 0 1 0
0 1 10 0 0 0
1 0 14 0 0 0
48,668 72,319 173,719 29,172 85,139 29,293
0
0
0
1
8,125
0 2 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 3 0 0 0 1 0 0 1 1 0 0
0 1 0 0 0 0 0 0 0 0 1 0 0 0 2 2 0 1 1 1 0 1 0 0 1 1 0 3 0 1
1 1 0 0 1 1 0 1 0 0 0 1 2 1 1 0 0 1 1 0 1 0 1 0 0 0 0 1 1 1
0 3 1 0 1 0 0 0 1 3 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 1 1 0 1
5,620 11,960 10,898 698 5,417 9,018 4,493 6,525 3,052 31,377 32,139 2,052 13,983 7,460 513 14,715 2,812 4,016 60,746 29,361 20,270 9,959 63,388 16,211 38,388 43,985 8,167 5,601 2,675 7,537
1
0
0
0
11,218
0 0 0 0 1 2
1 0 1 0 2 3
0 3 0 1 1 1
1 0 1 0 1 0
0 1 1 2 0 0
0 0 0 0 0 1
1 0 0 0 1 1
1 1 0 0 0 1
0 2 0 0 1 1 0 1 0 0 0 2
0 2 0 1 0 0 0 1 1 1 2 0
0 1 3 0 1 0 0 1 0 0 0 1
1 7 0 0 1 0 5 0 0 0 0 0
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 4Includes one incident reported with more than one bias motivation.
SECTION VI: HATE CRIMES 547 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
SOUTH DAKOTA.......
Total Cities Aberdeen Martin Pierre Rapid City Sioux Falls Spearfish Metropolitan Counties Minnehaha Pennington Nonmetropolitan Counties Butte
TENNESSEE ................
Total Cities Bristol Chattanooga Clarksville Cleveland Collegedale Collierville Collinwood Covington Crossville Dayton Decatur Dickson Dyersburg East Ridge Franklin Gallatin Gibson Goodlettsville Hendersonville Humboldt Jackson Johnson City Kingsport Knoxville Lexington Maryville Maynardville Memphis Murfreesboro Nashville Oak Ridge Paris Portland Pulaski Red Bank Savannah Signal Mountain Spring Hill Winchester Universities and Colleges Vanderbilt University Metropolitan Counties Anderson Blount Bradley Cheatham Dickson Jefferson Knox Montgomery Rutherford Shelby Sullivan Nonmetropolitan Counties Gibson Lauderdale Marshall
21 15 1 1 1 3 8 1 6 6 0 0 0 116 89 1 4 1 6 1 1 0 0 0 1 1 0 1 2 1 1 1 0 0 1 2 2 2 6 2 3 1 37 1 1 2 1 0 1 1 1 0 2 1 1 1 20 1 2 2 2 1 2 2 0 2 5 1 6 2 1 1
Religion
6 5 0 0 0 0 5 0 0 0 0 1 1 33 25 0 0 2 3 1 0 0 0 0 0 0 0 0 2 1 0 0 1 0 0 0 0 0 1 0 0 0 8 0 4 0 0 0 0 0 0 1 1 0 1 1 5 0 0 0 0 1 0 0 2 0 1 1 2 0 0 0
Sexual orientation 1 0 0 0 0 0 0 0 1 1 0 0 0 49 38 0 1 1 1 0 0 0 1 3 0 0 1 0 0 0 0 0 0 1 0 2 2 0 1 1 0 0 20 0 3 0 0 0 0 0 0 0 0 0 1 1 4 0 0 1 0 0 1 1 1 0 0 0 6 0 0 0
Ethnicity Disability
9 8 0 0 0 0 8 0 1 0 1 0 0 38 32 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 20 0 4 0 0 1 0 0 0 0 1 1 1 1 5 0 1 1 0 0 2 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
0 0 0 1 5 1
0 0 0 1 10 0
0 1 1 0 2 0
1 0 0 1 4 0
0 1
3 0
3 0
1 0
0
0
0
1
0 2 1 2 0 0 0 0 3 1 0 1 1 1 0 0 0 0 1 0 1 0 1 1 0 3 0 17 1 4 0 1 0 0 0 0 0 2 1
0 2 1 4 1 0 0 0 1 0 1 0 0 2 1 0 0 0 0 1 0 1 0 5 1 0 0 25 0 3 0 0 1 1 1 1 0 1 0
1 0 1 3 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 2 1 3 1 0 1 30 0 4 0 0 0 0 0 0 1 0 0
0 1 1 2 1 1 0 1 0 0 0 0 0 1 2 1 0 0 0 0 2 1 0 1 1 0 0 14 0 1 2 0 0 0 0 0 0 1 1
25,346 155,043 114,582 38,808 7,423 39,569 1,038 9,193 11,111 6,686 1,468 13,171 17,391 19,641 57,489 28,419 406 15,854 46,989 9,213 63,125 60,488 44,079 183,319 7,829 26,941 1,940 669,264 96,264 564,169 27,682 10,014 11,060 7,869 11,526 7,281 7,063 23,774 7,911
1
0
2
1
11,607
0 0 0 0 1 2 1 0 1 2 0
0 1 2 2 0 3 0 1 0 1 1
0 2 2 0 1 0 0 2 1 1 0
1 0 0 0 0 0 2 0 1 3 1
0 0 0
0 0 0
1 0 1
1 1 0
23,992 1,029 14,124 63,162 144,985 9,796
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
548
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Maury Monroe Sevier Warren TEXAS...........................
Total Cities Allen Arlington Austin Bedford Bertram Bonham Bryan Carrollton Cedar Park Copperas Cove Corpus Christi Dallas Del Rio Denton El Paso Forney Fort Worth Friendswood Frisco Galveston Garland Haltom City Henderson Houston Huntsville Keller Kingsville Leander Longview Mansfield Midland Missouri City New Braunfels North Richland Hills Orange Palestine Plano Richland Hills Rockport Round Rock Rowlett San Antonio San Marcos Seguin Tomball Tyler Uvalde Victoria Vidor Waco Wichita Falls Universities and Colleges Texas Technological University, Lubbock University of Texas, Austin Metropolitan Counties Harris Kendall McLennan Wichita Williamson Nonmetropolitan Counties Hood Other Agencies Independent School District, Austin
1Agencies
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
0 0 1 0
2 1 0 5
1 0 0 0
0 0 0 0
0 0 1 1 1 0 0 1 1 0 2 9 0 0 2 0 3 1 0 0 0 0 0 4 0 0 0 1 4 0 0 1 0 0 0 0 1 0 1 0 0 5 0 1 2 0 0 0 0 0 0
0 2 1 0 0 1 0 3 1 0 2 5 0 1 1 1 4 0 1 1 6 2 0 16 0 0 0 0 1 3 1 0 2 1 0 1 1 1 0 0 0 10 0 0 0 0 0 1 1 0 1
1 1 3 0 0 0 0 1 2 1 9 4 0 0 0 0 5 0 0 0 5 0 0 11 1 1 0 0 4 0 1 0 1 0 0 0 1 0 0 1 0 4 1 0 0 1 0 0 1 1 0
0 3 1 1 0 0 1 0 0 0 3 5 1 0 1 0 7 0 0 0 2 0 1 5 0 1 1 1 2 0 1 0 0 0 1 0 2 0 0 1 1 3 1 1 0 0 1 0 1 1 0
78,630 372,073 716,817 48,974 1,378 10,756 67,484 123,324 57,286 29,706 286,428 1,239,104 36,864 113,936 616,029 14,020 670,693 34,140 90,674 57,590 218,236 40,114 11,633 2,169,544 37,906 38,439 24,235 23,175 77,003 43,901 103,118 77,166 51,860 63,270 17,793 18,250 259,771 8,067 9,464 97,727 56,432 1,316,882 48,979 25,203 10,176 95,596 16,594 62,404 11,158 122,514 98,717
27,996 49,697
1 1 0 0 130 117 1 5 3 1 1 1 1 1 4 1 8 14 1 1 1 1 13 0 1 0 9 1 0 12 0 1 0 2 7 2 0 1 0 1 1 0 3 0 1 1 0 8 1 1 0 1 1 0 3 1 0 2
1 0 1 0 20 17 0 0 0 0 0 0 0 2 0 0 2 1 0 0 0 0 1 0 0 0 3 0 0 3 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1
1 0 0 5 46 46 0 1 1 1 0 0 0 1 0 0 3 7 0 0 2 0 0 1 0 1 0 0 1 11 0 0 0 0 1 0 1 0 2 0 0 1 0 0 0 0 0 9 1 1 0 0 0 0 0 0 0 0
0 0 0 0 46 45 0 0 2 0 0 0 0 1 0 0 3 1 0 0 1 0 5 0 0 0 1 1 0 10 1 0 1 0 3 1 1 0 1 0 0 0 2 1 0 1 1 5 0 0 2 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 1 10 7 1 1 1 0 1 1 0
0 1 1 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0
0 0 1 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
1 1
0 1
0 0
0 0
1 1 0 0 0
1 0 1 1 1
3 0 0 0 0
3 0 0 0 0
0
0
1
0
0
1
0
0
0
1
0
0
0
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 549 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
UTAH ............................
Total Cities Bountiful Centerville Clearfield Clinton Farmington Ivins Layton Murray North Salt Lake Provo Roosevelt Roy Salt Lake City Sandy South Jordan Springville St. George Taylorsville City Tooele Vernal Washington West Valley Universities and Colleges Brigham Young University Metropolitan Counties Davis Salt Lake Tooele Weber Nonmetropolitan Counties Uintah
VERMONT...................
Total Cities Barre Town Bellows Falls Bennington Burlington Montpelier Rutland South Burlington St. Johnsbury Nonmetropolitan Counties Orange State Police Agencies State Police: New Haven St. Albans
VIRGINIA ....................
Total Cities Alexandria Berryville Bristol Charlottesville Chesapeake Danville Emporia Exmore Fairfax City Falls Church Fredericksburg Hampton Harrisonburg Herndon Hopewell Lynchburg Manassas Manassas Park Newport News Norfolk
Religion
Sexual orientation
Ethnicity Disability
Population2
1st quarter
2nd quarter
3rd quarter
4th quarter
2 1 1 0 0 1 1 0 0 0 0 1 0 0 1 1 0 0 0 0 0 4
0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0 1 1 0 0 3 3
0 2 0 1 1 0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 5
0 0 0 0 0 0 0 1 2 2 0 0 0 0 0 0 0 0 1 1 0 1
41,132 15,140 27,419 19,882 16,078 7,663 63,284 44,748 12,070 115,264 4,740 35,366 178,449 94,975 46,571 26,883 70,579 57,944 30,019 8,231 16,607 121,447
34,185
19 17 0 0 1 1 1 0 2 1 0 0 0 1 0 0 1 1 1 0 1 0 0 6 0
15 12 0 3 0 0 0 0 0 0 0 2 1 0 1 1 1 0 0 0 0 1 1 1 2
9 8 2 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 1 1 0
12 10 0 0 0 0 0 1 0 0 2 0 0 0 0 0 1 0 0 0 0 0 1 5 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 1 0 0 1 1 9 9 1 0 1 4 0 1 1 1 0 0 0
2 1 0 0 0 1 0 0 5 4 0 0 0 3 1 0 0 0 0 0 1
0 1 0 0 1 0 0 0 7 5 0 1 0 4 0 0 0 0 1 1 1
0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1
1
0
0
0 0 0 0
0 0 0 1
1 2 0 0
0 0 1 0
1
0
0
0 0 0 1 0 0 0 0
1 0 0 2 0 1 0 1
0 0 0 0 1 0 1 0
0 1 1 8 0 0 0 0
0
0
0
1
0 0 186 92 0 0 1 1 3 1 2 0 0 1 0 4 0 1 1 3 6 0 3 27
1 0 54 27 5 1 0 0 0 0 0 1 0 0 0 2 1 0 0 1 0 0 3 5
0 1 34 20 0 0 0 1 1 0 0 0 0 0 1 0 2 0 0 1 0 0 2 2
0 0 34 16 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 1 4
0 0 15 10 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
0 0
0 0
1 0
0 1
0 0 0 1 0 0 0 0 0 0 0 2 0 1 0 1 1 1 4 13
1 0 0 0 2 1 0 0 0 0 1 0 1 0 0 2 1 0 1 10
3 0 1 1 1 0 1 1 0 1 0 3 0 0 0 1 3 0 2 11
1 1 0 2 2 0 1 0 1 0 1 1 2 1 1 1 1 0 2 5
8,146 2,957 15,297 38,153 7,944 19,626 17,333 7,553
137,812 3,216 17,484 40,265 223,093 45,114 5,607 1,381 22,484 10,831 21,521 144,490 40,869 21,892 22,741 67,932 36,735 11,816 177,550 227,903
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
550
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Onancock Onley Petersburg Portsmouth Pulaski Purcellville Radford Richmond Roanoke Rocky Mount Suffolk Vinton Virginia Beach Waverly Williamsburg Wytheville Universities and Colleges Ferrum College George Mason University James Madison University Northern Virginia Community College Old Dominion University Radford University Virginia Military Institute Virginia State University Metropolitan Counties Albemarle County Police Department Amelia Amherst Arlington County Police Department Bedford Campbell Chesterfield County Police Department Fairfax County Police Department Fauquier Fluvanna Frederick Gloucester Greene Henrico County Police Department James City County Police Department King and Queen Loudoun Montgomery New Kent Prince George County Police Department Prince William County Police Department Roanoke County Police Department Spotsylvania Washington Nonmetropolitan Counties Augusta Buckingham Floyd Greensville King George Madison Mecklenburg Northumberland Rappahannock Rockbridge Tazewell Westmoreland 1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
0 0 0 7 0 2 1 4 3 1 2 1 15 0 2 0 7 1 2 1
0 0 0 0 1 0 0 3 0 0 0 0 4 0 0 0 5 0 2 0
0 0 0 0 0 0 0 4 3 0 0 0 3 0 0 0 1 0 0 0
0 1 0 1 0 0 0 1 1 0 1 0 2 0 0 0 0 0 0 0
1 0 1 0 0 0 0 0 0 0 2 0 0 1 0 1 0 0 0 0
0 0 0 4 0 1 1 3 1 0 3 1 9 0 0 0
0 0 0 1 0 0 0 4 2 1 0 0 3 1 1 0
1 0 1 1 1 0 0 4 3 0 1 0 5 0 0 1
0 1 0 2 0 1 0 1 1 0 1 0 7 0 1 0
1,437 490 32,210 101,284 9,006 5,048 14,317 191,785 90,894 4,568 83,631 7,924 435,943 2,194 11,740 8,184
0 0 1
0 2 0
1 1 0
0 1 0
1,060 29,889 17,393
1 1 1 0 0 80
1 1 0 1 0 20
0 0 0 0 1 9
0 0 0 0 0 15
0 0 0 0 0 0
0 0 0 0 1
1 0 0 0 0
0 0 0 1 0
1 2 1 0 0
38,166 21,625 9,220 1,397 4,872
4 0 0
1 0 1
1 1 0
2 0 0
0 0 0
3 1 0
2 0 0
0 0 1
3 0 0
4 3 4
0 1 1
1 0 0
0 0 1
0 0 0
1 1 1
1 1 2
1 2 2
2 0 1
9
4
0
0
0
4
3
2
4
9 4 1 0 1 1
4 1 0 0 0 1
1 0 1 0 0 1
1 0 1 1 0 2
0 0 0 0 0 0
6 1 0 0 0 2
4 0 2 0 1 1
3 1 1 0 0 2
2 3 0 1 0 0
9
2
0
3
0
4
4
1
5
3 1 13 3 2
0 0 1 0 0
0 0 2 0 0
0 0 2 0 1
0 0 0 0 0
1 0 4 0 0
1 0 4 1 0
0 1 5 1 2
1 0 5 1 1
3
0
0
0
0
0
2
1
0
1
0
0
1
0
0
2
0
0
1 2 2 5 2 0 0 0 1 2 0 0 0 0 0 0
2 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0
1 0 0 4 0 0 0 0 0 0 0 0 1 0 1 2
0 0 0 2 0 1 0 0 0 1 0 0 0 0 0 0
0 0 0 5 0 0 1 2 0 0 0 1 0 1 0 0
0 0 2
1 1 0
1 1 0
2 0 1
0 0 1 1 1 1 0 0 0 0 0 2
0 0 0 0 0 0 0 0 0 0 0 0
2 0 0 1 0 0 0 0 0 0 1 0
0 1 0 0 0 2 1 1 1 1 0 0
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 551 Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
State Police Agencies State Police, Washington County Other Agencies Reagan National Airport Virginia State Capitol WASHINGTON ...........
Total Cities Arlington Auburn Battle Ground Bremerton Burien Clarkston Covington Ellensburg Everett Federal Way Kenmore Kennewick Kent Lakewood Longview Maple Valley Mercer Island Mill Creek Milton Newcastle North Bend Oak Harbor Olympia Port Angeles Port Orchard Pullman Redmond Renton Richland Sammamish SeaTac Seattle Selah Sequim Shoreline Spokane Spokane Valley Tacoma Tukwila University Place Vancouver Walla Walla Washougal Yakima Universities and Colleges Eastern Washington University Metropolitan Counties Chelan Clark King Kitsap Pierce Snohomish Yakima Nonmetropolitan Counties Clallam Other Agencies Port of Seattle
WEST VIRGINIA........
Total Cities Beckley Charleston Clarksburg
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
0
1
0
0
0
0 2 1 1 104 79 1 1 0 1 0 0 4 2 1 0 0 0 2 3 1 2 0 1 1 1 0 1 0 0 1 4 1 1 1 0 0 14 0 1 1 10 1 10 1 1 6 1 0 3 0
1 0 0 0 17 12 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 0 1 0 2 0 0 0 0 0 0 0 1 0
0 0 0 0 39 34 0 0 0 1 1 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 11 1 0 0 6 0 5 0 0 0 0 1 1 0
0 1 0 1 34 23 0 0 1 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 1 0 0 3 0 0 2 4 0 2 0 0 2 0 0 1 4
0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
0
1
0
0
0 0
0 0
1 1
0 1
0 1 0 0 1 0 0 0 1 0 0 0 2 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 5 0 1 1 7 1 2 0 0 0 0 1 1
0 0 0 0 1 0 1 1 0 1 0 1 2 1 1 1 0 1 0 0 0 1 0 0 0 4 1 1 0 0 0 5 0 0 1 8 0 1 1 0 4 1 0 2
1 0 0 2 0 0 2 1 0 0 0 1 1 0 0 2 0 0 1 1 0 0 2 1 0 0 1 0 1 0 0 10 1 1 1 5 0 9 0 0 3 0 0 1
0 0 1 0 0 1 1 0 2 0 1 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 1 1 1 8 0 0 0 3 0 5 0 1 1 0 0 2
16,736 49,710 14,149 35,068 31,035 7,231 18,072 17,033 98,845 84,026 20,167 63,147 83,929 57,465 37,068 16,798 23,671 15,843 6,836 9,867 4,605 23,168 44,946 19,064 8,026 25,408 49,195 59,656 45,555 35,327 25,320 585,118 7,037 5,898 52,189 198,272 83,928 196,909 17,103 30,699 161,092 31,002 11,769 82,951
0 23 0 3 12 4 1 2 1 0 0 2 2 31 24 1 3 2
0 3 0 0 2 0 1 0 0 1 1 1 1 2 1 0 0 0
0 3 0 0 1 1 0 1 0 2 2 0 0 10 4 0 1 0
4 7 1 1 3 2 0 0 0 0 0 0 0 1 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4
0
0
0
11,161
0 1 4 1 1 2 0
0 1 5 1 0 1 0
1 0 4 4 0
0 2 5 1 1
1
0
1
2
0
0
1
0
1
1
0 0 0
0 0 1
0 2 2
1 2 0
16,774 50,510 16,420
1Agencies published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
552
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 94. Hate Crime Incidents per Bias Motivation and Quarter by State and Agency, 2007 (Contd.) Number of incidents per quarter1
Number of incidents per bias motivation State
Agency type
Agency name Race
Huntington Morgantown Nitro Princeton South Charleston Spencer Weirton Wheeling Universities and Colleges West Virginia State University Metropolitan Counties Berkeley Brooke Kanawha Marshall Monongalia Nonmetropolitan Counties Fayette State Police Agencies State Police: Keyser Romney Other Agencies Harrison County Drug and Violent Crime Task Force WISCONSIN.................
Total Cities Appleton Darlington Fitchburg Fond du Lac Janesville Luxemburg Madison Milwaukee New Berlin New London Oak Creek Rhinelander Sheboygan Town of Madison Watertown Waukesha Universities and Colleges University of Wisconsin, Platteville Metropolitan Counties Dane Eau Claire Nonmetropolitan Counties Oneida Other Agencies–Tribal Lac du Flambeau Tribal
WYOMING ...................
Total Cities Casper Cheyenne Cody Gillette Lusk Riverton Rock Springs
1Agencies
Religion
Sexual orientation
Ethnicity Disability
1st quarter
2nd quarter
3rd quarter
4th quarter
Population2
9 1 0 1 4 1 1 1 1
0 1 0 0 0 0 0 0 0
2 0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
5 0 0 0 1 1 0 1
4 0 0 1 2 0 1 0
1 0 1 0 0 0 0 0
1 2 0 0 1 0 0 0
48,669 28,951 6,723 6,178 12,468 2,242 19,095 29,057
1 4 1 2 0 1 0 1 1 1
0 0 0 0 0 0 0 0 0 1
0 5 3 0 1 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0
1
3,502
1 0 0 0 0
0 0 0 0 0
2 2 0 0 1
1 0 1 1 0
0
0
0
1
1 0 0
0 1 0
0 0 1
0 0 0
0 0 0
0 0
0 1
1 0
0 0
0 43 38 2 0 0 3 1 1 1 21 0 0 6 0 1 1 1 0 3
0 6 5 0 0 0 1 0 0 0 0 2 0 1 1 0 0 0 0 0
1 9 8 0 1 0 0 1 0 0 4 1 0 0 0 1 0 0 0 0
0 11 10 0 0 1 0 0 0 0 1 0 1 6 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
1
0
0
0 0 0 1 0 0 0 5 0 0 1 0 1 1 0 0
0 1 0 2 0 0 0 3 2 1 1 0 0 0 0 1
0 0 1 1 2 1 1 12 1 0 1 0 0 0 1 0
2 0 0 0 0 0 0 6 0 0 10 1 1 0 0 0
70,169 2,328 22,793 42,349 63,383 2,286 225,370 572,938 39,350 7,008 32,896 7,786 48,291 5,828 23,334 68,162
3 1 1 0 0 0 1 1 10 10 6 1 0 2 1 0 0
0 0 0 0 1 1 0 0 5 5 5 0 0 0 0 0 0
0 1 0 1 0 0 0 0 5 5 1 1 1 0 0 1 1
1 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
4
6,813
1 0
0 0
0 1
0 0
0
1
0
0
0
0
1
0
10 0 0 0 0 0 0
0 1 1 0 0 0 0
2 0 0 0 0
0 1 0 3 1 1 0
1
52,434 55,604 9,266 24,438 1,316 9,795 19,432
published in this table indicated that at least one hate crime incident occurred in their respective jurisdictions during the quarter(s) for which they submitted a report to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 553 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Number.) Zero data per quarter1 State
ALABAMA ....
1Agencies
Agency type
Cities
Agency name
Alabaster Albertville Aliceville Andalusia Arab Ashford Atmore Attalla Autaugaville Bayou La Batre Bear Creek Berry Boaz Brent Brewton Brilliant Brookside Carbon Hill Centre Childersburg Clanton Clayton Cleveland Clio Coffeeville Collinsville Columbia Coosada Crossville Cullman Daleville Daphne Decatur Dora Dothan Enterprise Eufaula Eutaw Fairfield Fairhope Falkville Fayette Florala Florence Fort Payne Fyffe Gadsden Geneva Glencoe Gordo Greensboro Greenville Guin Gulf Shores Guntersville Gurley Hackleburg Hamilton Hanceville Hartford Helena Hokes Bluff Homewood Huntsville Irondale Jasper Kimberly Lafayette Level Plains Lincoln Loxley Madison Maplesville Midland City Mobile
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0
0 0 0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0
0 0 0
0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0
0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0
0 0 0 0
0 0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0
0 0
0 0
0 0
0 0 0
0
Population2 28,904 19,476 2,457 8,727 7,694 1,967 7,452 6,426 885 2,761 1,016 1,212 8,175 4,328 5,304 732 1,330 2,048 3,411 4,978 8,602 1,383 1,405 2,209 354 1,693 832 1,590 1,463 14,914 4,503 19,352 56,019 2,441 64,931 24,035 13,272 3,001 11,443 16,735 1,185 4,694 1,904 36,784 13,889 1,045 37,066 4,415 5,311 1,589 2,579 7,067 2,223 9,486 8,088 850 1,472 6,478 3,261 2,401 14,429 4,363 23,602 169,391 9,471 14,117 2,592 3,054 1,516 5,089 1,587 37,994 686 1,839 253,842
State
Agency type
Agency name
Montevallo Moundville Muscle Shoals Myrtlewood New Hope Northport Ohatchee Oneonta Opelika Opp Owens Crossroads Oxford Ozark Pelham Pell City Pennington Phil Campbell Pickensville Pine Hill Pleasant Grove Priceville Rainbow City Rainsville Red Bay Roanoke Robertsdale Russellville Samson Scottsboro Selma Sheffield Silas Spanish Fort Summerdale Tallassee Tarrant Thomaston Thomasville Thorsby Triana Trussville Valley Vestavia Hills Wetumpka Universities and Colleges
Metropolitan Counties
Alabama A&M University Auburn University, Montgomery George C. Wallace State Community College Jacksonville State University University of Alabama, Birmingham University of Montevallo University of North Alabama
Autauga Bibb Colbert Elmore Geneva Henry Houston Jefferson
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0
0
0 0 0 0
0 0 0 0
0
0
0 0 0 0
0 0 0
0 0 0 0 0 0
0 0 0 0
0
0
0 0 0
0 0
0 0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0
0
0
0
0
0
1,404 20,396 14,656 21,060 12,256 327 1,046 646 914 10,323 2,503 9,079 4,923 3,283 6,674 4,976 8,842 2,027 14,971 19,101 9,176 487 5,619 701 5,091 6,553 375 4,558 2,030 482 18,401 8,871 31,097 7,558
6,076
0
0
5,234 2,399 12,776 134 2,709 22,201 1,230 6,860 24,600 6,701
5,079
0 0
3,420 0
0
8,957
0
0
16,561
0
0
2,895
0
0
6,810
0
0 0 0 0
0
0 0 0
0 0 0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
554
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Lawrence Mobile Shelby Walker Nonmetropolitan Counties
Other Agencies
ARIZONA ......
Cities
Universities and Colleges
1Agencies
Butler Cleburne Coffee Escambia Jackson Lamar Perry Pickens Pike Sumter Tallapoosa Washington 24th Judicial Circuit Drug and Violent Crime Task Force Benson Bisbee Camp Verde Clarkdale Clifton Coolidge Cottonwood Douglas Eagar Eloy Fredonia Globe Goodyear Hayden Holbrook Huachuca City Kearny Lake Havasu City Mammoth Miami Nogales Parker Payson Pima Prescott Safford SnowflakeTaylor Somerton South Tucson Springerville Surprise Thatcher Tucson Wellton Wickenburg Willcox Winslow Youngtown
Central Arizona College Pima Community College Yavapai College
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
State
0
0
0
0
0 0 0 0 0 0
0 0 0
0 0
0 0
0 0
0 0
Agency type
Metropolitan Counties
Nonmetropolitan Counties
0 0 0 0 0
0 0 0 0 0
0
0
0 0
0
State Police Agencies
ARKANSAS ...
0
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0
0 0 0
0 0 0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0
4,913 6,077 10,780 3,904 2,285 7,875 11,455 17,077 4,324 10,795 1,066 7,097 53,834 1,267 5,186
0 0
0 0
0 0
0 0
1,886 3,000
0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
0 0 0
0 0 0
58,699 2,347 1,809 20,747 3,211 15,496 1,967 42,674 8,945
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0
0
0
0 0 0 0 0
9,448 11,370 5,579 2,002 98,965 4,285 523,299 1,898 6,507 3,842 10,018 5,062
0
0
0
0
6,471
0 0
0 0
0 0
0 0
32,532 9,305
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Coconino Mohave Pinal Yavapai Yuma
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
Apache Cochise Gila La Paz Santa Cruz
0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0 0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
Arizona Department of Public Safety Alma Altheimer Arkadelphia Arkansas City Ashdown Atkins Augusta Austin Bald Knob Barling Bay Bearden Beebe Bentonville Berryville Blytheville Bono Booneville Bradford Brinkley Bryant Bull Shoals Cabot Caddo Valley Camden Cammack Village Caraway Carlisle Cave City Cave Springs Centerton Charleston Clarendon Clarksville Clinton Conway Corning Cotter Danville Dardanelle Decatur De Queen Dermott Des Arc Diaz Dierks Dover Dumas Earle Elkins England Etowah
4,935 1,143 10,418 538 4,497 2,929 2,355 1,131 3,364 4,397 1,992 1,019 6,062 34,232 5,195 16,161 1,557 4,137 839 3,368 14,181 2,124 23,366 622 11,812 766 1,359 2,451 2,074 1,583 7,803 3,035 1,766 8,553 2,506 57,245 3,403 1,074 2,488 4,431 1,670 5,890 3,401 1,765 1,180 1,244 1,388 4,725 2,835 2,463 3,049 344
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 555 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Eudora Eureka Springs Fairfield Bay Farmington Fayetteville Flippin Fordyce Forrest City Gassville Gentry Glenwood Gosnell Gould Gravette Greenbrier Greenland Greenwood Greers Ferry Gurdon Guy Hamburg Hampton Hardy Harrisburg Harrison Hazen Heber Springs Helena-West Helena Highfill Highland Hope Horseshoe Bend Hoxie Judsonia Keiser Kensett Lake City Lakeview Lake Village Leachville Lepanto Lincoln Little Flock Lonoke Lowell Luxora Magnolia Malvern Mammoth Spring Mansfield Marianna Marked Tree Marmaduke Marvell Mayflower McCrory McGehee McRae Mena Mineral Springs Monette Monticello Mountain Home Mountain View Mulberry Murfreesboro Nashville Newport Ola Osceola Ozark Pangburn
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,493 2,369 2,527 4,801 70,334 1,407 4,282 13,699 2,083 2,688 2,030 3,692 1,171 2,465 3,855 1,195 8,404 975 2,231 564 2,770 1,493 819 2,142 13,097 1,502 7,156
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
12,800 613 1,089 10,467
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,282 2,635 2,145 764 1,717 2,022 832 2,552 1,813 2,041 1,988 3,179 4,651 7,314 1,235 10,250 9,044
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,125 1,126 4,624 2,666 1,173 1,194 2,022 1,616 4,105 695 5,632 1,298 1,198 9,122 12,383 3,079 1,730 1,666 4,862 7,129 1,232 7,920 3,587 671
State
Agency type
Agency name
Paris Pea Ridge Piggott Pine Bluff Plummerville Pocahontas Pottsville Prairie Grove Prescott Quitman Redfield Rison Rogers Rose Bud Russellville Salem Searcy Sheridan Siloam Springs Springdale Star City Stuttgart Sulphur Springs Swifton Texarkana Trumann Tuckerman Van Buren Vilonia Waldron Walnut Ridge Ward Weiner West Fork White Hall Wynne Universities and Colleges
Metropolitan Counties
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3,674 4,269 3,603 51,304 870 6,893 2,528 3,415 4,653 741 1,171 1,324 54,223 453 26,319 1,558 21,304 4,495 14,659 65,695 2,253 9,197 676 797 30,156 6,821 1,673 22,238 3,085 3,636 4,631 3,659 741 2,259 5,196 8,481
0 0
0 0
0 0
0 0
4,073 10,949
0
0
0
0
7,038
0
0
0
0
3,664
0
0
0
0
5,732
0
0
0
0
3,113
Arkansas State University: Beebe Jonesboro Arkansas Tech University Henderson State University Northwest Arkansas Community College Southern Arkansas University University of Arkansas: Fayetteville Little Rock Medical Sciences Monticello Pine Bluff
0 0
0 0
0 0
0 0
17,926 11,905
0 0 0
0 0 0
0 0 0
0 0 0
2,435 3,179 3,128
Cleveland Craighead Crittenden Faulkner Franklin Garland Grant Jefferson Lincoln Lonoke Madison Miller
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
556
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Other Agencies
CALIFORNIA.
1Agencies
Cities
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
Perry Poinsett Saline Sebastian Washington
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
Arkansas Ashley Baxter Boone Bradley Calhoun Carroll Chicot Clark Clay Cleburne Columbia Cross Dallas Desha Drew Greene Hempstead Hot Spring Howard Independence Izard Jackson Johnson Lafayette Lawrence Lee Little River Logan Marion Mississippi Monroe Nevada Ouachita Pike Polk Prairie Randolph Searcy Sevier Sharp St. Francis Stone Union Van Buren White Woodruff Yell
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
Camp Robinson State Capitol Police Adelanto Albany Alhambra Alturas American Canyon Anderson Apple Valley Arcadia Arcata Arroyo Grande Artesia Arvin Atherton Auburn Avalon
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
28,719 15,889 87,729 2,924
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
17,053 10,629 71,211 56,967 16,929 16,485 16,607 15,228 7,307 13,072 3,325
State
Agency type
Agency name
Avenal Baldwin Park Banning Barstow Bear Valley Beaumont Bell Bellflower Bell Gardens Belvedere Big Bear Lake Biggs Blue Lake Blythe Bradbury Brawley Brisbane Broadmoor Buellton Burlingame California City Calimesa Calipatria Calistoga Canyon Lake Capitola Carlsbad Carmel Carpinteria Cathedral City Chino Hills Chowchilla Cloverdale Coachella Coalinga Colma Colton Colusa Commerce Corcoran Corning Costa Mesa Cotati Crescent City Cudahy Culver City Cupertino Delano Del Rey Oaks Dinuba Dixon Dorris Dos Palos Dunsmuir East Palo Alto El Centro El Cerrito Emeryville Escalon Etna Exeter Fairfax Fairfield Farmersville Ferndale Firebaugh Fontana Fort Jones Fortuna Foster City Fowler Goleta Grand Terrace Greenfield Gridley
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
17,175 78,943 30,163 23,957 4,567 30,093 37,420 74,544 45,451 2,065 6,276 1,802 1,110 22,696 1,067 22,666 3,575 4,345 4,345 27,489 13,443 7,528 7,743 5,217 11,544 9,432 95,056 3,905 13,392 53,953 76,484 18,772 8,319 38,604 17,801 1,436 51,924 5,901 13,672 23,715 7,348 109,835 7,272 7,909 24,953 39,474 53,002 52,051 1,545 19,926 17,883 851 5,000 1,824 33,210 40,957 22,514 9,041 7,439 785 10,307 7,091 106,098 10,219 1,398 7,036 176,490 659 11,312 28,958 5,236 29,243 12,334 14,484 5,982
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 557 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Grover Beach Guadalupe Gustine Half Moon Bay Hanford Hayward Healdsburg Hermosa Beach Hidden Hills Highland Hillsborough Hollister Holtville Hughson Huron Imperial Imperial Beach Indian Wells Indio Industry Ione Irwindale Isleton Jackson Kensington Kerman King City Kingsburg Laguna Beach Laguna Niguel Laguna Woods La Habra Heights Lake Forest Lakeport Lake Shastina La Palma Lawndale Lincoln Lindsay Livingston Loma Linda Lompoc Los Altos Los Altos Hills Los Banos Madera Mammoth Lakes Martinez Maywood Merced Mill Valley Mission Viejo Monrovia Montague Montebello Monte Sereno Moraga Morgan Hill Morro Bay Mount Shasta Needles Nevada City Newark Newman Norco Ojai Orinda Orland Oroville Pacific Grove Palos Verdes Estates 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
12,761 6,621 5,243 12,370 49,694 140,603 10,955
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
19,676 2,060 52,582 10,697 35,812 5,372 6,791 7,301 12,506 26,013 5,175 81,909 906 7,721 1,474 800 4,468 5,327 12,795 11,237 11,483 24,215 65,044 18,313
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,004 76,359 5,291 2,364 15,821 32,052 47,236 10,925 13,286 21,641 39,697 27,451 8,341 36,123 56,797
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
7,449 35,538 28,796 78,186 13,280 95,095 38,148 1,485 63,071 3,539 17,034 36,415 10,100 3,584 5,397 3,014 41,781 10,436 27,469 7,861 18,449 7,168 13,579 14,772
0
0
0
0
13,828
State
Agency type
Agency name
Patterson Piedmont Pismo Beach Pittsburg Placentia Porterville Port Hueneme Rancho Cucamonga Rancho Palos Verdes Reedley Rio Dell Rio Vista Ripon Riverbank Rolling Hills Ross San Anselmo San Carlos Sand City San Fernando Sanger San Marino Santa Ana Santa Clara Santa Maria Santa Paula Saratoga Sausalito Seal Beach Selma Shafter Sierra Madre Simi Valley Solvang Sonoma South El Monte South Pasadena Stallion Springs St. Helena Suisun City Susanville Sutter Creek Tiburon Tracy Trinidad Truckee Tulare Tulelake Twentynine Palms Twin Cities Ukiah Vallejo Vernon Victorville Villa Park Waterford Weed Westlake Village Westminster Westmorland Wheatland Williams Willits Willows Windsor Winters Woodlake Yountville Yreka Yucaipa Yucca Valley
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
19,620 10,478 8,369 63,913 50,428 46,621 21,804
0
0
0
0
177,683
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
41,845 23,098 3,174 7,778 14,683 21,096 1,941 2,296 11,995 26,902 307 24,189 24,769 13,112 340,223 109,420 85,782 28,518 30,067 7,188 24,383 23,175 15,215 11,031 122,677 5,091 9,981 21,696 24,967 1,643 5,899 27,010 18,192 2,851 8,721 84,151 314 16,404 53,352 982
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
30,832 21,050 15,367 116,763 91 104,872 6,028 9,120 3,050
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
8,613 89,700 2,242 3,824 4,895 5,051 6,304 25,633 6,817 7,435 3,312 7,536 51,624 20,865
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
558
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Universities and Colleges Allan Hancock College California State Polytechnic University: Pomona San Luis Obispo California State University: Channel Islands Chico East Bay Long Beach Los Angeles San Jose3 San Marcos Stanislaus College of the Sequoias Contra Costa Community College Cuesta College El Camino College FoothillDe Anza College Marin Community College Pasadena Community College Reedley Community College Riverside Community College San Bernardino Community College San Diego State University San JoseEvergreen Community College Sonoma State University University of California: Hastings College of Law Irvine Medical Center, Sacramento3 Merced San Diego San Francisco Santa Barbara Ventura County Community College District West ValleyMission College Metropolitan Counties Alameda Butte El Dorado Fresno Kings Madera 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
12,321
0 0
0 0
0 0
0 0
20,510 18,722
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
3,123 16,250 12,706 35,574 20,565
0
0
0
0
9,959
0 0
0 0
0 0
0 0
6,870 10,578
0
0
0
0
23,488
0
0
0
0
39,874
0
0
0
6,512
0
0
0
0
25,873
0
0
0
0
11,782
0
0
0
0
29,486
0
0
0
0
12,090
0
0
0
0
33,441
0
0
0
0
18,164
0
0
0
0
8,274
0 0
0 0
0 0
0 0
1,272 25,230
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1,286 26,247 2,943 21,082
0
0
0
0
11,757
0
0
0
0
18,740
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
Agency type
Nonmetropolitan Counties
8,734 8,374
0
0 0 0 0 0 0
State
State Police Agencies
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Monterey Napa Placer San Benito San Bernardino San Joaquin San Mateo Santa Barbara Solano Sutter Tulare Yolo
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
Alpine Del Norte Humboldt Mariposa Modoc Mono Nevada Plumas Sierra Siskiyou Tehama Trinity
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
Highway Patrol: Alameda County Alpine County Amador County Butte County Calaveras County Colusa County Contra Costa County Del Norte County El Dorado County Fresno County Glenn County Humboldt County Imperial County Inyo County Kern County Kings County Lake County Lassen County Los Angeles County Madera County Marin County Mariposa County Mendocino County Merced County Modoc County Mono County Monterey County Napa County Nevada County Orange County Placer County Plumas County Riverside County
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 559 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Sacramento County San Benito County San Diego County San Francisco County San Joaquin County San Luis Obispo County San Mateo County Santa Barbara County Santa Clara County Santa Cruz County Shasta County Sierra County Siskiyou County Solano County Sonoma County Stanislaus County Sutter County Tehama County Trinity County Tulare County Tuolumne County Ventura County Yolo County Yuba County Other Agencies
Agnews Developmental Center Atascadero State Hospital California State Fair Department of Parks and Recreation: Angeles Bay Area Calaveras County Capital Channel Coast Colorado Four Rivers District Hollister Hills Hungry Valley Inland Empire Marin County Mendocino Headquarters Monterey County North Coast Redwoods Northern Buttes Oceano Dunes Ocotillo Wells Orange Coast Russian River San Diego Coast San Joaquin
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0 0
Population2
State
Agency type
Agency name
San Luis Obispo Coast Santa Cruz Mountains Sierra Silverado Twin Cities East Bay Municipal Utility East Bay Regional Parks, Alameda County Fairview Developmental Center Fontana Unified School District Grant Joint Union High School Lanterman State Hospital Los Angeles County Metropolitan Transportation Authority Monterey Peninsula Airport Napa State Hospital Porterville Developmental Center Port of San Diego Harbor San Bernardino Unified School District San Francisco Bay Area Rapid Transit: Alameda County Contra Costa County San Francisco County San Mateo County Santa Clara Transit District Sonoma Developmental Center Stockton Unified School District Union Pacific Railroad: Alameda County Amador County Butte County Calaveras County Colusa County Contra Costa County El Dorado County Fresno County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
560
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
COLORADO..
1Agencies
Agency type
Cities
Agency name
Glenn County Humboldt County Imperial County Inyo County Kern County Kings County Lassen County Los Angeles County Madera County Marin County Mendocino County Merced County Modoc County Monterey County Napa County Nevada County Orange County Placer County Plumas County Riverside County Sacramento County San Benito County San Bernardino County San Francisco County San Joaquin County San Luis Obispo County San Mateo County Santa Barbara County Santa Clara County Santa Cruz County Shasta County Sierra County Siskiyou County Solano County Sonoma County Stanislaus County Sutter County Tehama County Trinity County Tulare County Ventura County Yolo County Yuba County Alamosa Aspen Ault Avon Basalt Bayfield Black Hawk Bow Mar Breckenridge Brighton Broomfield Brush Buena Vista Burlington Campo
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
8,714 5,700 1,419 6,517 3,093 1,823 106 807 2,822 31,215 46,393 5,216 2,149 3,454 131
State
Agency type
Agency name
Canon City Carbondale Cedaredge Center Central City Cherry Hills Village Columbine Valley Crested Butte Cripple Creek Dacono De Beque Delta Dillon Durango Eagle Eaton Edgewater Elizabeth Erie Estes Park Federal Heights Firestone Florence Fort Morgan Fountain Fraser-Winter Park Frederick Frisco Fruita Golden Green Mountain Falls Greenwood Village Haxtun Hayden Holyoke Hotchkiss Idaho Springs Ignacio Kiowa La Junta Lakeside Lamar La Salle Las Animas La Veta Leadville Limon Log Lane Village Mancos Manitou Springs Meeker Milliken Minturn Monte Vista Montrose Monument Morrison Mountain View Mount Crested Butte Nederland Northglenn Olathe Pagosa Springs Palisade Parachute Parker Platteville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
16,198 6,128 2,270 2,452 514
0
0
0
0
6,218
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,274 1,557 1,062 3,865 485 8,473 777 15,785 5,275 4,281 5,117 1,509 15,759 6,078 11,697 8,463 3,692 10,774 20,012
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1,621 8,541 2,509 7,115 17,244
0
0
0
0
794
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
13,744 1,000 1,521 2,297 1,099 1,779 624 609 7,198 19 8,287 1,927 2,503 883 2,690 1,785
0 0
0 0
0 0
0 0
1,009 1,242
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
5,085 2,309 6,380 1,141 4,102 17,024 2,633 405 517
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
772 1,323 33,226 1,739 1,699 2,756 1,217 44,624 2,646
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 561 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Pueblo Rangely Rocky Ford Salida Sheridan Silt Silverthorne Snowmass Village South Fork Springfield Vail Victor Walsh Westminster Wiggins Windsor Woodland Park Wray Yuma Universities and Colleges
Metropolitan Counties
Nonmetropolitan Counties
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
103,958 2,089 4,096 5,394 5,443 2,516 3,812 1,732 552 1,323 4,622 419 661 106,383 960 17,031 6,747 2,156 3,245
0
0
0
0
8,442
0
0
0
0
6,918
0
0
0
0
4,357
0
0
0
0
6,205
0
0
0
0
3,905
0
0
0
0
10,526
0
0
0
0
6,727
0
0
0
0
31,665
0
0
0
0
8,647
0
0
0
0
0
0
0
0
0
0
0
0
Boulder Clear Creek Elbert El Paso Larimer Park Pueblo Teller
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
Alamosa Archuleta Baca Bent Chaffee Cheyenne Costilla Crowley Custer Delta Dolores
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
Adams State College Arapahoe Community College Colorado School of Mines Colorado State University, Pueblo Fort Lewis College Pikes Peak Community College Red Rocks Community College University of Colorado: Boulder Colorado Springs Health Sciences Center3 Health Sciences Center, Fitzsimons Campus3 University of Northern Colorado
13,363
State
Agency type
State Police Agencies Other Agencies
CONNECTICUT ................
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Eagle Fremont Grand Gunnison Hinsdale Huerfano Jackson Kiowa Lake La Plata Las Animas Logan Mineral Moffat Montezuma Montrose Morgan Otero Ouray Phillips Pitkin Prowers Rio Blanco Rio Grande Saguache San Juan San Miguel Sedgwick Summit Washington Yuma
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Colorado State Patrol
0
0
0
0
Two Rivers Drug Enforcement Team
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
18,620 17,526 20,380 18,670 16,498 10,252 28,868 12,292 13,612 79,893 20,501 12,666 28,755 7,455 10,650 57,889 11,285
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
669 59,607 7,232 20,009 29,567 25,890 27,262 14,527 24,168 10,597 17,294 9,707 9,352 8,990 24,040 18,923
Ansonia Avon Berlin Bethel Brookfield Canton Cheshire Coventry Cromwell Danbury Darien East Hampton East Haven Easton East Windsor Fairfield Granby Groton Long Point Meriden Middlebury New Canaan Newington New London Newtown North Branford North Haven Old Saybrook Plainville Portland Putnam Redding Ridgefield Rocky Hill
0 0 0 0 0 0 0 0 0 0 0 0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
562
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Simsbury Stonington Thomaston Waterbury Watertown West Haven Wethersfield Willimantic Windsor Wolcott Woodbridge Universities and Colleges
Other Agencies DELAWARE ..
Cities
Universities and Colleges Other Agencies
1Agencies
Central Connecticut State University Southern Connecticut State University Yale University
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
23,674 18,261 7,972 107,241 22,419 52,770 25,977 16,272 28,712 16,419 9,261
0
0
0
0
12,144
0 0
0 0
0 0
0 0
12,326 11,415
State Capitol Police Bethany Beach Blades Bridgeville Camden Cheswold Clayton Dagsboro Delaware City Delmar Dover Ellendale Felton Fenwick Island Greenwood Lewes Millsboro Milton New Castle Newport Ocean View Rehoboth Beach Seaford Selbyville Smyrna South Bethany Wyoming
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
947 1,006 1,597 2,484 460 1,438 566 1,520 1,498 35,133 348 857 359 891 3,137 2,532 1,803 4,960 1,106 1,109
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
1,562 7,121 1,761 8,185 516 1,311
Delaware State University
0
0
0
0
3,690
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Amtrak Police Attorney General: Kent County New Castle County Sussex County Division of Alcohol and Tobacco Enforcement Drug Enforcement Administration, Wilmington Resident Office Environmental Control Fish and Wildlife
State
FLORIDA .......
Agency type
Cities
Agency name
River and Bay Authority State Capitol Police State Fire Marshal Wilmington Fire Department Alachua Altha Apalachicola Apopka Arcadia Astatula Atlantic Beach Atlantis Auburndale Avon Park Bal Harbour Village Bartow Bay Harbor Island Belleair Belleair Beach Belleair Bluffs Belle Glade Belleview Biscayne Park Blountstown Bonifay Bowling Green Boynton Beach Bradenton Bradenton Beach Brooksville Bunnell Bushnell Carrabelle Cedar Grove Cedar Key Center Hill Chattahoochee Chiefland Chipley Clearwater Clermont Clewiston Cocoa Beach Coleman Cooper City Cottondale Crescent City Crestview Cross City Dade City Davenport Davie Daytona Beach Daytona Beach Shores Deerfield Beach De Funiak Springs Deland Doral Dundee Dunedin Dunnellon Eagle Lake Eatonville Edgewater Edgewood El Portal
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
8,833 516 2,331 36,895 7,151 1,747 13,256 2,131 13,236 9,135
0 0
0 0
0 0
0 0
3,211 16,594
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
4,996 4,149 1,611 2,197 15,231 4,074 3,049 2,443 2,712 2,972 69,469 54,253
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,557 7,651 1,639 2,200 1,290 5,201 1,008 1,009 3,807 2,133 3,768 107,501 12,385 7,402 12,128 714 30,182 883 1,827 18,753 1,838 7,079 2,056 87,007 64,236
0 0
0 0
0 0
0 0
5,063 76,469
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
4,987 26,610 21,356 3,148 36,702 2,016 2,650 2,265 21,898 2,084 2,384
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 563 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Eustis Fellsmere Fernandina Beach Flagler Beach Florida City Fort Meade Fort Myers Fort Pierce Fort Walton Beach Frostproof Fruitland Park Golden Beach Graceville Greenacres City Green Cove Springs Greensboro Gretna Groveland Gulf Breeze Gulfport Gulf Stream Haines City Hampton Havana Hialeah Hialeah Gardens Highland Beach High Springs Hillsboro Beach Holly Hill Hollywood Holmes Beach Howey-inthe-Hills Indialantic Indian Creek Village Indian Harbour Beach Indian River Shores Indian Rocks Beach Indian Shores Inglis Interlachen Jacksonville Beach Jasper Jennings Juno Beach Jupiter Inlet Colony Jupiter Island Kenneth City Key Biscayne Key Colony Beach Key West Kissimmee Lady Lake Lake Alfred Lake City Lake Hamilton Lake Helen Lake Mary Lake Park Lake Placid Lake Wales Lake Worth Lantana
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0
0 0
0 0
0 0
18,685 4,850
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
11,423 2,874 9,704 5,741 61,810 39,456
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
19,245 2,915 3,983 893 2,432 33,042
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
6,541 610 1,635 6,519 6,563 12,508 751 18,172 453 1,703 215,853
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
19,705 4,106 4,260 2,357 13,510 146,673 5,086
0 0
0 0
0 0
0 0
1,274 2,997
0
0
0
0
39
0
0
0
0
8,516
0
0
0
0
3,488
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
5,227 4,292 1,658 1,533
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
21,801 1,836 841 3,395
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
392 653 4,356 9,968
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
787 22,968 62,880 13,838 4,280 12,257 1,440 2,795 15,234 8,919 1,867 14,227 36,029 10,475
State
Agency type
Agency name
Lauderdale-by -the-Sea Lauderdale Lakes Lauderhill Lawtey Lighthouse Point Live Oak Longboat Key Lynn Haven Madeira Beach Madison Maitland Manalapan Mangonia Park Marco Island Margate Marianna Mascotte Medley Melbourne Beach Melbourne Village Mexico Beach Miami Miami Gardens Miami Shores Miami Springs Milton Minneola Monticello Mount Dora Mulberry Naples Neptune Beach New Port Richey Niceville North Bay Village North Lauderdale North Miami Beach North Palm Beach North Redington Beach Oak Hill Oakland Ocala Ocean Ridge Okeechobee Oldsmar Opa Locka Orange City Orange Park Orlando Ormond Beach Pahokee Palatka Palm Beach Palm Beach Gardens Palm Beach Shores Palmetto Palmetto Bay Palm Springs Panama City Beach Parker
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
6,010
0 0 0
0 0 0
0 0 0
0 0 0
32,003 59,743 692
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
11,364 7,100 7,387 16,110 4,408 3,210 14,130 342 1,259 16,235 56,261 6,293 5,485 1,043
0
0
0
0
3,208
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
680 1,339 410,252 98,762 9,814 12,860 8,257 9,646 2,565 11,897 3,192 22,109 6,833
0 0
0 0
0 0
0 0
17,393 12,354
0
0
0
0
8,279
0
0
0
0
42,767
0
0
0
0
38,790
0
0
0
0
12,509
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,506 1,596 1,128 53,490 1,678 6,010 13,656 15,695 9,485 9,108 224,417 38,792 6,656 11,130 9,738
0
0
0
0
51,053
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
1,523 14,188 23,287 15,720
0 0
0 0
0 0
0 0
14,755 4,613
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
564
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Parkland Pembroke Park Pembroke Pines Perry Pinellas Park Plantation Plant City Pompano Beach Ponce Inlet Port Richey Port St. Joe Punta Gorda Quincy Redington Beaches Riviera Beach Rockledge Royal Palm Beach Safety Harbor Sanford Sanibel Sarasota Satellite Beach Sea Ranch Lakes Sebastian Sebring Seminole Sewall’s Point Shalimar Sneads South Bay South Daytona South Miami South Palm Beach South Pasadena Southwest Ranches Springfield Starke St. Augustine St. Augustine Beach St. Cloud St. Pete Beach St. Petersburg Stuart Sunrise Surfside Sweetwater Tallahassee Tamarac Tavares Temple Terrace Tequesta Titusville Treasure Island Trenton Umatilla Valparaiso Vero Beach Virginia Gardens Waldo Wauchula Webster Welaka West Melbourne West Miami Weston West Palm Beach White Springs 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
25,062 4,991 151,817 6,801 47,419 86,346 31,985 104,989 3,294 3,421 3,627 17,552 6,904
0 0 0
0 0 0
0 0 0
0 0 0
1,506 36,795 24,910
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
32,441 17,366 50,757 5,777 52,986 9,987
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
763 20,913 10,749 19,330 2,035 712 1,936 4,667 13,529 11,071
0 0
0 0
0 0
0 0
1,501 5,634
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
7,449 8,963 5,896 12,118
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,001 24,791 10,105 248,069 16,385 91,480 4,599 13,436 159,943 61,366 13,351 22,546 6,018 44,467 7,575 1,866 2,812 6,047 16,840
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
2,221 767 4,517 865 714 16,012 5,725 68,230
0 0
0 0
0 0
0 0
101,322 825
State
Agency type
Agency name
Wildwood Williston Windermere Winter Haven Winter Springs Zephyrhills Zolfo Springs Universities and Colleges
Metropolitan Counties
Nonmetropolitan Counties
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
3,211 2,833 2,037 31,556 32,817 12,998 1,693
0
0
0
0
11,907
0
0
0
0
8,279
0
0
0
0
37,997
0 0
0 0
0 0
0 0
39,973
0
0
0
0
746
0
0
0
0
10,208
0
0
0
0
14,012
0
0
0
0
12,732
0
0
0
0
50,912
0
0
0
0
15,954
0 0
0 0
0 0
0 0
43,636
Baker Gadsden Gilchrist Jefferson Leon Marion Martin Miami-Dade Nassau Okaloosa Pasco Sarasota Seminole St. Johns St. Lucie Wakulla
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Bradford Calhoun Citrus Columbia Dixie Franklin Glades Gulf Hamilton Hardee Hendry Highlands Holmes Jackson Lafayette Levy
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Florida A&M University Florida Gulf Coast University Florida International University Florida State University: Panama City3 Tallahassee New College of Florida Pensacola Junior College Santa Fe Community College Tallahassee Community College University of Florida University of North Florida University of South Florida: St. Petersburg3 Tampa
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 565 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Liberty Madison Okeechobee Putnam Sumter Suwannee Taylor Union Walton Washington State Police Agencies
1Agencies
Highway Patrol: Alachua County Baker County Bay County Bradford County Brevard County Broward County Calhoun County Charlotte County Citrus County Clay County Collier County Columbia County DeSoto County Dixie County Duval County Escambia County Flagler County Franklin County Gadsden County Gilchrist County Glades County Gulf County Hamilton County Hardee County Hendry County Hernando County Highlands County Hillsborough County Holmes County Indian River County Jackson County Jefferson County Lafayette County Lake County Lee County Leon County Levy County Liberty County Madison County Manatee County Marion County Martin County
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
Population2
State
Agency type
Agency name
Miami-Dade County Monroe County Nassau County Okaloosa County Okeechobee County Orange County Osceola County Pasco County Pinellas County Polk County Putnam County Santa Rosa County Sarasota County Seminole County St. Johns County St. Lucie County Sumter County Suwannee County Taylor County Union County Volusia County Wakulla County Walton County Washington County Other Agencies
Capitol Police Department of Environmental Protection, Division of Law Enforcement: Bay County Brevard County Citrus County Duval County Escambia County Franklin County Hillsborough County Lee County Leon County Miami-Dade County Monroe County Palm Beach County Pinellas County Department of Law Enforcement: Duval County, Jacksonville Escambia County, Pensacola Hillsborough County, Tampa Lee County, Fort Myers Leon County, Tallahassee Miami-Dade County, Miami
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
566
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Orange County, Orlando Duval County Schools Florida Game Commission, Leon County Florida School for the Deaf and Blind Fort Lauderdale Airport Jacksonville Airport Authority Melbourne International Airport Miami-Dade County Public Schools Palm Beach County School District Port Everglades SarasotaBradenton International Airport State Fire Marshal St. PetersburgClearwater International Airport Tampa International Airport Volusia County Beach Management Other Agencies– Tribal
GEORGIA ......
Cities
Miccosukee Tribal Seminole Tribal Colquitt Conyers Davisboro Greenville Hapeville Royston
Universities and Colleges Augusta State University Georgia College and State University Georgia Southern University North Georgia College and State University Metropolitan Counties Coweta Nonmetropolitan Counties Jeff Davis Schley Other Agencies Fulton County School System Gwinnett County Public Schools 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
State
IDAHO ............ 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0
0 0
0 0
0
0 0
0 0
0 0
0 0 0 0 0
0 0
0
Agency type
Cities
1,918 12,704 1,556 937 6,149 2,730
6,552
0
0
0
0
0
0
0
16,425
0
0
0
0
4,922
Metropolitan Counties
6,040
Nonmetropolitan Counties
0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Aberdeen American Falls Blackfoot Bonners Ferry Buhl Caldwell Cascade Challis Chubbuck Cottonwood Emmett Filer Fruitland Garden City Gooding Grangeville Hagerman Heyburn Homedale Idaho City Kamiah Kellogg Ketchum Kimberly McCall Meridian Montpelier Moscow Mountain Home Orofino Osburn Parma Payette Pinehurst Ponderay Post Falls Preston Priest River Rathdrum Rigby Rupert Salmon Sandpoint Shelley Soda Springs St. Anthony St. Maries Weiser Wendell Wilder
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,805 4,244 11,084 2,736 4,028 38,713 1,018 868 11,039 1,062 6,385 1,919 4,603 11,452 3,267 3,171 763 2,749 2,585 495 1,150 2,279 3,258 2,807 2,644 64,294 2,460 22,503
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
11,686 3,103 1,448 1,842 7,686 1,608 720 25,622 5,147 1,950 6,551 3,332 5,158 3,054 8,413 4,249 3,149 3,383 2,657 5,425 2,448 1,451
Bannock Boise Canyon Franklin Gem Jefferson Nez Perce Owyhee Power
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
Adams Bear Lake Benewah Bingham Blaine Bonner Boundary Butte Camas Caribou Cassia
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 567 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Clark Clearwater Custer Elmore Fremont Gooding Idaho Jerome Latah Lemhi Lewis Lincoln Madison Minidoka Oneida Payette Shoshone Teton Twin Falls Valley Washington State Police Agencies ILLINOIS ........
INDIANA........
Cities
Metropolitan Counties Cities
Idaho State Police Argenta Colfax Danvers East Dubuque Fulton Gibson City Hinsdale Holiday Hills Itasca Mokena Pawnee Rockton South Beloit Wood Dale
McLean Alexandria Anderson Bargersville Beech Grove Bluffton Boonville Brazil Bremen Brownsburg Burns Harbor Carmel Cedar Lake Charlestown Chesterfield Columbia City Corydon Crawfordsville Danville Decatur Delphi East Chicago Edinburgh Elwood Fairmount Frankfort Franklin Gas City Georgetown Goshen Greensburg Hagerstown Hammond Hartford City Hebron
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
Population2
831 995 1,131 1,979 3,855 3,302 18,285 813 8,468 18,858 2,538 5,431 5,510 13,507
5,840 57,189 2,647 13,975 9,448 6,750 8,238 4,719 19,494 1,060 62,037 10,350 7,217 2,755 8,227 2,793 15,156 8,033 9,507 2,969 30,353 4,593 9,013 2,746 16,431 22,778 5,774 2,851 32,210 10,570 1,646 77,662 6,493 3,634
State
Agency type
Agency name
Highland Hobart Huntington Jasper Knox Lafayette Ligonier Logansport Lowell Martinsville Merrillville Mishawaka Monticello Mooresville Nappanee New Albany New Castle New Whiteland Noblesville North Vernon Plainfield Plymouth Portland Princeton Rensselaer Richmond Roseland Rushville Salem Schererville Scottsburg South Whitley Sullivan Tell City Terre Haute Tipton Vincennes Wabash Walkerton Warsaw West Lafayette Westville Winchester Winona Lake Universities and Colleges Indiana State University Indiana University: Gary Indianapolis3 New Albany Metropolitan Counties Bartholomew Brown Clark Floyd Greene Harrison La Porte Monroe Newton Porter Putnam Shelby St. Joseph Tippecanoe Tipton Warrick Wells Nonmetropolitan Counties Blackford Cass
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0 0 0 0 0 0 0 0 0
22,879 28,428 16,767 14,098 3,699 61,257 4,470 18,995 8,319 11,805 32,091 49,196 5,401 11,639 7,118 36,840 18,577 5,658 41,927 6,407 25,722 11,192 6,149 8,700 6,276 37,129 625 5,570 6,558 29,494 5,982 1,865 4,481 7,561 56,946 5,181 17,905 11,021 2,186 13,154 29,045 5,194 4,705 4,314
0
0
10,568
0 0 0
4,819
0 0
0 0 0 0 0 0 0 0 0 0
0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0
0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0
0
0
0 0 0 0 0 0
0 0
0 0
0
0
0 0 0 0 0 0 0 0
0
0 0 0 0 0 0
0 0 0
0 0 0
0 0
0
0 0
0
0
0
0
0 0
6,183
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
568
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Daviess Fulton Grant Henry Huntington Martin Noble Parke Pulaski Starke Steuben Other Agencies
IOWA ...............
1Agencies
Cities
Northern Indiana Commuter Transportation District St. Joseph County Airport Authority Adel Albia Algona Altoona Ames Anamosa Ankeny Atlantic Audubon Belmond Bettendorf Bloomfield Boone Burlington Camanche Carlisle Carroll Carter Lake Cedar Rapids Centerville Chariton Charles City Cherokee Clarinda Clarion Clear Lake Clinton Clive Cresco Creston Denison De Witt Dyersville Eagle Grove Eldora Eldridge Emmetsburg Estherville Evansdale Fairfield Forest City Fort Madison Garner Glenwood Grinnell Grundy Center Hampton Harlan Hawarden Humboldt Independence Indianola Iowa City Iowa Falls Jefferson
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0 0
0 0 0
0 0 0 0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
0 0 0 0 0 0 0 0 0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
4,135 3,615 5,443 13,882 51,622 5,675 40,546 6,842 2,166 2,387 32,501 2,575 12,768 25,258 4,298 3,599 9,976 3,304 124,730 5,662 4,554 7,574 4,911 5,558 2,796 7,848 26,937 14,231 3,763 7,401 7,427 5,360 4,186 3,424 2,789 4,685 3,633 6,276 4,998 9,354 4,202 10,841 2,990 5,816 9,408 2,581 4,226 5,111 2,426 4,379 6,118 14,399 62,700 5,040 4,337
State
Agency type
Agency name
Johnston Knoxville Le Claire Le Mars Leon Manchester Maquoketa Marshalltown Mason City Missouri Valley Monticello Mount Pleasant Mount Vernon Muscatine Nevada New Hampton Newton North Liberty Norwalk Oelwein Ogden Onawa Orange City Osage Osceola Oskaloosa Pella Pleasant Hill Polk City Prairie City Red Oak Rock Valley Sac City Sergeant Bluff Sheldon Shenandoah Sioux Center Spencer Spirit Lake St. Ansgar State Center Storm Lake Story City Urbandale Vinton Waterloo Waukee Waverly Webster City West Burlington West Des Moines West Liberty West Union Williamsburg Wilton Windsor Heights Winterset Universities and Colleges University of Northern Iowa Metropolitan Counties Benton Black Hawk Bremer Dallas Dubuque Grundy Guthrie Harrison Johnson Jones Linn Madison Mills
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0
0 0
0
0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
15,622 7,434 3,181 9,375 1,923 4,958 6,006 25,958 27,541 2,870 3,738 8,918 4,210 22,705 6,275 3,464 15,459 10,826 8,413 6,273 2,005 2,838 5,897 3,447 4,782 11,033 10,280 7,458 3,098 1,459 5,907 3,005 2,157 4,009 4,863 5,172 6,693 11,015 4,783 975 1,356 9,855 3,187 38,381 5,239 65,607 11,945 9,396 8,004 3,376 54,988 3,695 2,436 2,831 2,862 4,506 4,970
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
12,327
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 569 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Pottawattamie Scott Story Warren Washington Woodbury
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
Adair Adams Allamakee Appanoose Audubon Boone Buchanan Buena Vista Butler Calhoun Carroll Cass Cedar Cerro Gordo Cherokee Chickasaw Clarke Clay Clayton Clinton Crawford Davis Decatur Delaware Des Moines Dickinson Emmet Fayette Floyd Franklin Fremont Greene Hamilton Hancock Hardin Henry Howard Humboldt Ida Iowa Jackson Jasper Jefferson Keokuk Kossuth Lee Louisa Lucas Lyon Mahaska Marion Marshall Mitchell Monona Monroe Montgomery Muscatine O’Brien Osceola Palo Alto Plymouth Pocahontas Poweshiek Ringgold Sac Shelby Sioux
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0 0 0
0 0 0
Population2
State
KANSAS..........
Agency type
Cities
Agency name
Tama Taylor Union Van Buren Wapello Wayne Webster Winnebago Winneshiek Worth Wright Abilene Alma Altamont Andale Anthony Arcadia Arkansas City Arma Atchison Attica Atwood Auburn Baldwin City Basehor Baxter Springs Bel Aire Belle Plaine Beloit Benton Blue Rapids Bonner Springs Bucklin Burden Burlingame Burlington Burns Bushton Caldwell Caney Canton Carbondale Chapman Chase Cheney Cherokee Chetopa Clay Center Clearwater Colby Coldwater Colwich Conway Springs Council Grove Derby Dodge City Eastborough Elkhart Ellis Ellsworth Elwood Enterprise Erie Eskridge Eudora Fairway Florence Fort Scott Frankfort Fredonia Frontenac Galena Garden Plain Gardner Garnett
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,419 754 1,060 835 2,217 382 11,342 1,484 10,138 587 1,104 1,132 4,255 3,742 4,164 6,739 1,576 3,591 817 1,035 7,121 736 544 1,002 2,706 275 290 1,181 1,976 800 1,434 1,262 455 1,973 711 1,227 4,305 2,299 4,854 752 1,380 1,221 2,273 21,531 26,236 788 1,969 1,849 2,869 1,144 811 1,146 565 6,323 3,815 633 7,922 781 2,446 3,134 3,150 842 16,658 3,272
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
570
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Girard Goddard Goodland Great Bend Halstead Harper Haven Herington Hesston Hiawatha Hill City Hillsboro Hoisington Holcomb Holton Holyrood Horton Howard Hoxie Hugoton Inman Junction City Kechi Kingman Kiowa La Crosse La Cygne La Harpe Lake Quivira Larned Lebo Leon Liberal Lindsborg Linn Valley Little River Louisburg Lyndon Lyons Macksville Maize Maple Hill Marion Marysville McLouth McPherson Meade Medicine Lodge Meriden Minneapolis Mission Hills Mission Woods Moran Mound City Moundridge Mount Hope Mulberry Mulvane Neodesha Newton Nickerson North Newton Norton Nortonville Norwich Oakley Oberlin Osawatomie Oskaloosa Oswego Overbrook Oxford Park City Parker Peabody 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2 2,645 3,836 4,289 15,562 1,907 1,431 1,170 2,459 3,666 3,207 1,415 2,694 2,816 1,880 3,364 448 1,821 760 1,140 3,552 1,189 15,727 1,645 3,072 953 1,263 1,161 659 924 3,677 945 650 20,477 3,282 594 526 3,739 1,026 3,460 486 2,717 496 1,978 3,110 828 13,577 1,601 2,010 713 2,021 3,514 158 531 820 1,635 853 566 5,836 2,635 18,164 1,160 1,574 2,726 586 505 1,870 1,739 4,578 1,123 1,993 962 1,092 7,603 310 1,264
State
Agency type
Agency name
Perry Plainville Pleasanton Prairie Village Quinter Roeland Park Rolla Rose Hill Rossville Russell Sabetha Scott City Scranton Sedan Sedgwick Seneca South Hutchinson Stafford Sterling St. Francis St. George St. John St. Marys Stockton Tonganoxie Towanda Troy Udall Ulysses Wa Keeney Wakefield Walton Wamego Waterville Wathena Waverly Weir Wellington Wellsville West Mineral Westwood Wilson Winchester Winfield Yates Center Universities and Colleges Emporia State University Fort Hays State University Kansas City Community College Kansas State University University of Kansas, Medical Center Washburn University Wichita State University Metropolitan Counties Butler Doniphan Douglas Franklin Harvey Jackson Jefferson Johnson Leavenworth Linn
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0 0 0
863 1,843 1,367 21,312 815 6,916 431 4,028 1,008 4,224 2,506 3,459 698 1,210 1,657 2,054
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0
0
0
0 0 0 0 0 0
0
0
0 0 0 0
0 0 0 0 0
0 0 0 0
0
0 0 0
0 0 0
2,477 1,041 2,537 1,340 514 1,185 2,240 1,421 4,312 1,371 1,018 758 5,620 1,716 883 291 4,243 619 1,297 553 742 7,898 1,694 230 1,832 761 570 11,672 1,451
0
0
0
0
6,473
0
0
0
0
9,122
0
0
0
0
5,547
0
0
0
0
23,141
0
0
0
0
2,150
0
0
0
0
7,153
0
0
0
0
13,964
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0
0 0
0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 571 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Osage Sedgwick Sumner Wabaunsee Wyandotte
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
Allen Anderson Atchison Barber Barton Bourbon Brown Chase Chautauqua Cherokee Cheyenne Clark Clay Cloud Coffey Crawford Decatur Dickinson Edwards Elk Ellis Ellsworth Ford Geary Gove Graham Grant Gray Greeley Greenwood Harper Haskell Hodgeman Jewell Kingman Kiowa Labette Lane Lincoln Logan Marion Marshall McPherson Meade Mitchell Morris Morton Nemaha Neosho Ness Norton Osborne Ottawa Pawnee Phillips Pottawatomie Pratt Rawlins Reno Republic Rice Rooks Rush Russell Saline Scott Seward Sheridan
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
State Police Agencies Other Agencies
Other Agencies– Tribal
KENTUCKY...
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Sherman Smith Stafford Stanton Thomas Trego Wallace Washington Wichita Wilson Woodson
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
Kansas Highway Patrol
0
0
0
0
0
0
0
0
Blue Valley School District Johnson County Park Kansas Alcoholic Beverage Control Kansas Department of Wildlife and Parks Kansas Lottery Security Division Kansas Racing Commission, Security Division Metropolitan Topeka Airport Authority Securities Office, Investigation Section Shawnee Mission Public Schools Topeka Fire Department, Arson Investigation Unified School District: Goddard Maize Topeka Wyandotte County Parks and Recreation
Iowa Tribal Kickapoo Tribal Potawatomi Tribal Adairville Albany Auburn Audubon Park Augusta Barbourville Bardstown Beattyville Beaver Dam Bellefonte Benham Benton Berea
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0
0 0
0
0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0
0 0
0 0 0 0 0
0 0
0 0
937 2,323 1,509 1,568 1,258 3,561 11,158 1,135 3,181 846 547 4,388 13,946
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
572
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Bloomfield Booneville Brownsville Burkesville Butler Cadiz Calhoun Calvert City Campbellsburg Campbellsville Campton Caneyville Carlisle Carrollton Catlettsburg Cave City Central City Clarkson Clinton Cloverport Cold Spring Columbia Corbin Crescent Springs Crofton Cynthiana Danville Dawson Springs Dayton Earlington Eddyville Edgewood Edmonton Elizabethtown Elkhorn City Elkton Eminence Erlanger Evarts Falmouth Flatwoods Fleming-Neon Flemingsburg Florence Fort Mitchell Fort Thomas Fort Wright Fountain Run Frankfort Franklin Fulton Gamaliel Georgetown Glasgow Glencoe GraymoorDevondale Grayson Greensburg Guthrie Hardinsburg Harlan Harrodsburg Hartford Hawesville Hazard Heritage Creek Highland Heights Hillview Hindman Hodgenville Hollow Creek 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0 0
0 0
0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0
0
0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0 0 0 0
0 0 0 0
0 0 0
0 0
Population2 887 150 1,045 1,730 648 2,604 803 2,780 716 10,957 411 663 2,133 3,888 1,901 2,088 5,763 839 1,331 1,248 5,758 4,195 8,344 3,988 777 6,291 15,377 2,947 5,443 1,593 2,408 8,789 1,624 23,547 1,023 1,962 2,264 16,986 1,056 2,129 7,647 805 3,105 27,405 7,476 15,266 5,379 244 26,984 8,101 2,435 434 20,997 14,282 251 3,008 3,997 2,408 1,441 2,466 1,893 8,164 2,685 983 4,862 1,654 5,708 7,506 768 2,781 846
State
Agency type
Agency name
Hopkinsville Horse Cave Independence Indian Hills Inez Irvine Irvington Jackson Jamestown Jeffersontown Jenkins La Center La Grange Lakeside ParkCrestview Hills Lancaster Lawrenceburg Lebanon Lebanon Junction Leitchfield Lewisburg Lewisport Liberty Lone Oak Ludlow Lynch Lynnview Madisonville Marion Mayfield Maysville McKee Millersburg Monticello Morehead Morganfield Morgantown Mount Olivet Mount Vernon Mount Washington Muldraugh Munfordville New Castle New Haven Nicholasville Northfield Nortonville Oak Grove Olive Hill Owensboro Owenton Owingsville Paintsville Park Hills Pembroke Pewee Valley Pikeville Pineville Pioneer Village Pleasureville Powderly Princeton Prospect Raceland Radcliff Ravenna Russell Russell Springs Russellville Sadieville Salyersville Scottsville Sebree
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0 0 0
0 0 0 0
0 0 0
0 0 0 0 0
0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0
0
0 0
0
0
0
0
0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0
0
0
0
0 0
27,197 2,345 21,038 3,149 450 2,699 1,421 2,401 1,738 25,837 2,288 1,029 6,238 6,205 4,452 9,710 5,980 1,994 6,561 924 1,658 1,903 437 4,809 838 980 19,293 3,022 10,326 9,205 864 872 6,120 7,575 3,365 2,538 293 2,622 12,334 1,309 1,624 932 876 25,495 1,018 1,250 7,303 1,823 55,702 1,491 1,596 4,176 2,748 754 1,598 6,331 1,997 2,687 894 892 6,402 5,044 2,548 21,560 676 3,598 2,573 7,351 309 1,601 4,567 1,554
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 573 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Shepherdsville Shively Silver Grove Smiths Grove Somerset Southgate Springfield Stamping Ground Stanford Stanton Sturgis Taylor Mill Taylorsville Trenton Uniontown Vanceburg Villa Hills Vine Grove Warsaw West Liberty West Point Wilder Williamsburg Williamstown Wilmore Winchester Worthington Universities and Colleges Eastern Kentucky University Morehead State University Murray State University Northern Kentucky University University of Louisville Western Kentucky University Metropolitan Counties Bourbon Boyd Bracken Bullitt Campbell Campbell County Police Department Christian Clark Fayette Gallatin County Police Department Grant Greenup Hardin Henderson Henry Jefferson Jessamine Kenton McLean Meade Nelson Oldham 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0
0
Population2
660 3,467 3,153 1,967 6,682 1,226 425 1,046 1,722 7,672 3,915 1,832 3,362 992 3,037 5,192 3,465 5,862 16,515 1,686
0
0
0
15,763
0
0
0
0
8,958
0
0
0
0
10,298
0
0
0
0
0
0
0
0 0 0 0 0
0
0 0 0 0 0
0 0 0 0
0
0 0 0 0 0 0 0 0 0 0
0 0 0
0 0
0 0 0 0 0 0 0 0 0
0
0 0 0 0 0
14,617
0
0 0 0 0 0
0
0
0 0
0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
Agency type
20,785
18,660
Agency name
Oldham County Police Department Pendleton Scott Shelby Spencer Trigg Warren Webster Woodford
9,123 15,621 1,158 741 12,344 3,291 2,845
0
0
State
Nonmetropolitan Counties
Allen Anderson Ballard Barren Bath Bell Boyle Breathitt Butler Caldwell Calloway Carroll Carter Casey Clinton Crittenden Cumberland Elliott Estill Fleming Floyd Franklin Fulton Garrard Graves Grayson Harlan Harrison Hart Hickman Hopkins Jackson Johnson Knott Knox Laurel Letcher Lewis Lincoln Livingston Logan Lyon Madison Magoffin Marion Marshall McCracken McCreary Metcalfe Montgomery Muhlenberg Nicholas Ohio Owen Owsley Pike Powell Rockcastle Rowan Simpson Taylor
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0
0
0 0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0
0
0 0 0 0 0 0
0 0 0
0 0
0
0
0
0 0 0 0 0
0 0 0
0 0
0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
574
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Todd Union Washington Wayne Wolfe Other Agencies
LOUISIANA ..
1Agencies
Cities
Alcohol Beverage Control Buffalo TraceGateway Narcotics Task Force CincinnatiNorthern Kentucky International Airport Fish and Wildlife Enforcement FIVCO Area Drug Task Force Forestry Enforcement Greater Hardin County Narcotics Task Force Kentucky Horse Park Lake Cumberland Area Drug Enforcement Task Force Lexington Bluegrass Airport Louisville Regional Airport Authority McCracken County Public Schools Motor Vehicle Enforcement Northern Kentucky Narcotics Enforcement Unit Pennyrile Narcotics Task Force Addis Baker Basile Bernice Bossier City Coushatta Covington Denham Springs Farmerville French Settlement Golden Meadow Gonzales Gramercy Gretna Harahan Haughton
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0
0 0 0 0
0 0 0 0 0
Population2
0
0
0
0
0
0
0
0
0 0
0
0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Agency type
Agency name
Homer Houma Jackson Jeanerette Kaplan Kenner Kinder Lake Arthur Lake Charles Leesville Mandeville Mansfield Morgan City Olla Pearl River Plaquemine Pollock Ruston Sterlington Tallulah Thibodaux Tickfaw Vinton Washington Westlake West Monroe Westwego Zachary
0
0
0
State
0
0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
3,145 13,600 2,392 1,677 61,993 2,166 9,745
0
0 0
0 0
0 0
10,552 3,567
0
0
0
0
1,100
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
2,158 9,067 6,946 16,240 9,212 2,997
Universities and Colleges Delgado Community College Louisiana State University: Baton Rouge3 Eunice Shreveport Louisiana Tech University McNeese State University Nicholls State University Northwestern State University Southeastern Louisiana University Southern University and A&M College, New Orleans Tulane University University of Louisiana, Monroe University of New Orleans Metropolitan Counties Ascension Cameron De Soto Grant Iberville Lafayette Livingston Plaquemines Pointe Coupee St. Bernard St. Charles St. John the Baptist St. Martin
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0 0
0 0 0 0
3,472 32,597 3,714 6,015 5,192 66,473 2,148 2,894 69,966 5,763 12,346 5,466 11,810 1,352 2,170 6,627 384 20,532 1,240 7,883 14,501 687 3,131 1,064 4,526 12,989 9,957 13,428
0 0 0
0 0 0
0
0 0
0
0
0
0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0
0
0
0
11,916
0 0 0
0 0 0
0 0
0 0 0
2,749 4,023
0
0
0
0
11,203
0
0
0
0
8,327
0
0
0
0
6,804
0
0
0
0
9,431
0
0
0
0
15,106
0
0
2,197
0
0
10,237
0
0
8,576
0 0 0 0 0 0
0 0
0
0 0
11,747
0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0
0
0 0
0 0
0
0
0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 575 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Other Agencies
MAINE ............
1Agencies
Cities
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
St. Tammany West Baton Rouge
0
0
0
0
0
0
0
0
Acadia Assumption Beauregard Franklin Jackson Jefferson Davis Madison Morehouse Natchitoches Red River Sabine St. Landry Vermilion Vernon Webster West Carroll
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0
0 0
0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
1,460 23,150 9,175 6,866 7,603 2,671
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
2,340 9,101 5,325 1,306 22,048 4,969 8,284 5,327 8,806 8,279
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
467 3,400 7,728 1,965 3,720 4,391 3,171 1,575 7,165 6,808 10,591 7,603 3,510 4,202 8,190 3,363 6,174 2,040 1,759 2,521 6,847 2,961 6,258 4,847 4,070 10,645 2,298 5,235 9,474 3,200 2,191
Department of Public Safety, State Capitol Detail Ashland Auburn Bath Belfast Berwick Bethel Boothbay Harbor Brewer Bridgton Brownville Brunswick Bucksport Buxton Camden Cape Elizabeth Caribou Carrabassett Valley Clinton Cumberland Damariscotta Dexter Dover-Foxcroft East Millinocket Eastport Ellsworth Fairfield Falmouth Farmington Fort Fairfield Fort Kent Freeport Fryeburg Gardiner Gouldsboro Greenville Hallowell Hampden Holden Houlton Jay Kennebunkport Kittery Limestone Lincoln Lisbon Livermore Falls Machias
State
Agency type
Agency name
Madawaska Madison Mexico Milbridge Millinocket Monmouth Mount Desert Newport North Berwick Norway Oakland Oxford Paris Phippsburg Pittsfield Presque Isle Rangeley Richmond Rockland Rockport Rumford Saco Scarborough Searsport Skowhegan South Berwick Southwest Harbor Swan’s Island Thomaston Topsham Van Buren Veazie Waldoboro Washburn Wells Westbrook Wilton Windham Winslow Winter Harbor Winthrop Wiscasset Yarmouth Universities and Colleges University of Maine: Farmington Orono Metropolitan Counties Androscoggin Sagadahoc Nonmetropolitan Counties Aroostook Franklin Hancock Kennebec Knox Lincoln Piscataquis Somerset Washington State Police Agencies Maine State Police, Headquarters State Police: Androscoggin County Aroostook County Cumberland County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,402 4,673 2,932 1,316 4,927 3,849 2,214 3,106 4,911 4,846 6,239 3,954 5,048 2,205 4,296 9,217 1,168 3,440 7,582 3,590 6,405 18,509 19,187 2,668 8,876 7,350
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,982 311 4,203 10,073 2,520 1,873 5,123 1,616 10,142 16,188 4,210 16,814 7,979 973 6,514 3,904 8,106
0 0
0 0
0 0
0 0
2,421 11,797
0 0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
576
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
MARYLAND .
1Agencies
Agency type
Cities
Agency name
Franklin County Hancock County Knox County Lincoln County Oxford County Penobscot County Piscataquis County Sagadahoc County Somerset County Waldo County Washington County York County Aberdeen Baltimore City Sheriff Berlin Berwyn Heights Bladensburg Boonsboro Bowie Brunswick Capitol Heights Centreville Cheverly Chevy Chase Village Cottage City Crisfield Cumberland Delmar Denton District Heights Easton Edmonston Elkton Fairmount Heights Federalsburg Forest Heights Frostburg Fruitland Glenarden Greenbelt Greensboro Hagerstown Hampstead Hancock Havre de Grace Hurlock Hyattsville Landover Hills La Plata Laurel Lonaconing Luke Manchester Morningside Mount Rainier New Carrollton North Brentwood North East Oakland Ocean City Ocean Pines Oxford Perryville Pocomoke City Port Deposit
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0
0 0 0 0 0
0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
3,812 3,045 7,849 3,286 53,672 5,282 4,259 3,099 6,614
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
2,779 1,166 2,804 20,654 2,590 3,602 6,253 14,249 1,381 15,228
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,554 2,647 2,656 7,809 4,193 6,340 22,090 2,016 39,263 5,535 1,721 12,584 2,015 15,152 1,575 9,090 22,086 1,137 74 3,609 1,305 8,660 12,712
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
482 2,856 1,869 7,005 11,134 735 3,826 3,863 704
14,187
State
Agency type
Agency name
Preston Princess Anne Ridgely Rising Sun Riverdale Park Rock Hall Salisbury Seat Pleasant Smithsburg Snow Hill St. Michaels Sykesville Takoma Park Taneytown Thurmont Trappe University Park Upper Marlboro Westernport Westminster Universities and Colleges Bowie State University Coppin State University Morgan State University Salisbury University University of Baltimore University of Maryland: Baltimore City Baltimore County Eastern Shore Metropolitan Counties Allegany Anne Arundel Baltimore County Calvert Charles Howard Montgomery Prince George’s Queen Anne’s Somerset Washington Wicomico Nonmetropolitan Counties Caroline Dorchester Garrett Kent St. Mary’s Talbot Worcester State Police Agencies Maryland State Police, Headquarters State Police: Allegany County Anne Arundel County Baltimore City Baltimore County Calvert County Caroline County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
647 2,934 1,485 1,821 6,584 1,424 27,727 5,020 3,031 2,278 1,088 4,499 18,539 5,533 6,092 1,179 2,379 681 1,971 18,036
0 0 0 0
0
0
0
0
5,291
0
0
0
0
4,104
0
0
0
0
6,705
0
0
0
0
7,383
0
0
0
0
4,948
0
0
0
0
5,636
0 0
0 0
0 0
0 0
11,798 4,130
0 0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 577 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Charles County Dorchester County Frederick County Garrett County Harford County Howard County Kent County Montgomery County Prince George’s County Queen Anne’s County Somerset County St. Mary’s County Talbot County Washington County Other Agencies
MASSACHUSETTS ..............
Cities
Comptroller of the Treasury, Field Enforcement Division Department of Public Safety and Correctional Services, Internal Investigations Unit General Services: Annapolis, Anne Arundel County Baltimore City MarylandNational Capital Park Police, Montgomery County Natural Resources Police Rosewood Springfield Hospital Transit Administration Transportation Authority Abington Acushnet Adams Agawam Amesbury Aquinnah Ashburnham Ashland Athol Avon Barre Becket Bedford Belchertown Berkley Berlin Blackstone
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
Population2
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
16,673 10,575 8,316 28,573 16,551 356 6,065 15,818 11,721 4,310 5,467 1,804 12,862 14,268 6,494 2,771 9,067
State
Agency type
Agency name
Bolton Bourne Boxborough Boxford Boylston Braintree Brewster Bridgewater Brimfield Canton Carlisle Charlemont Charlton Chatham Chelsea Cheshire Chicopee Clinton Cohasset Concord Dedham Deerfield Dover Dracut Dudley East Bridgewater East Brookfield Eastham Easthampton East Longmeadow Easton Edgartown Erving Fairhaven Fall River Fitchburg Framingham Franklin Freetown Gardner Georgetown Gloucester Goshen Grafton Granby Great Barrington Groton Groveland Hadley Halifax Hampden Hanover Hanson Hardwick Harvard Harwich Hatfield Hingham Hinsdale Holden Holliston Holyoke Hopedale Hopkinton Hubbardston Hudson Hull Ipswich Kingston Lakeville Lawrence Lee
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,517 19,308 5,106 8,155 4,295 34,147 10,158 25,767 3,744 21,890 4,870 1,381 12,765 6,811 32,439 3,335 54,414 14,247 7,213 16,766 23,653 4,763 5,650 29,444 10,951
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
14,077 2,095 5,519 16,082
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
15,061 23,142 3,939 1,574 16,268 91,413 40,180 64,482 31,478 9,042 20,813 8,210 30,597 965 17,750 6,381
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
7,423 10,737 6,863 4,817 7,834 5,349 14,266 10,054 2,670 6,062 12,573 3,266 22,059 1,782 16,816 13,903 39,769 6,277 14,294 4,494 19,595 11,261 13,326 12,581 10,770 70,462 5,842
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
578
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Leicester Lenox Leominster Lincoln Littleton Longmeadow Ludlow Lunenburg Lynnfield Manchesterby-the-Sea Marblehead Marion Marlborough Marshfield Mashpee Mattapoisett Maynard Medfield Medway Melrose Mendon Merrimac Methuen Middleton Millbury Millis Millville Montague Monterey Nahant Natick Needham Newbury Newburyport New Salem Norfolk North Adams North Andover Northborough Northbridge North Brookfield North Reading Norton Norwell Norwood Oak Bluffs Oakham Orange Orleans Paxton Pembroke Pepperell Princeton Provincetown Raynham Reading Rehoboth Rockland Rockport Rowley Royalston Rutland Salisbury Sandwich Saugus Savoy Seekonk Shelburne Sherborn Shirley Shrewsbury Somerset 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
11,077 5,169 41,602 7,929 8,713 15,465 22,066 10,105 11,429
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5,301 20,194 5,313 38,227 24,915 14,552 6,502 10,150 12,299 12,867 26,549 5,837 6,420 44,333 9,562 13,711 7,977 2,988 8,359 967 3,544 31,854 28,343 6,992 17,317 990 10,596 13,738 27,271 14,783 14,596
0
0
0
0
4,847
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
13,970 19,423 10,466 28,336 3,768 1,946 7,762 6,412 4,591 18,932 11,454 3,547 3,411 13,975 23,004 11,551 17,914 7,677 5,927 1,399 7,800 8,506 20,584 27,214 732 13,681 2,045 4,217 7,661 33,485 18,473
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
State
Agency type
Agency name
Southampton Southbridge South Hadley Southwick Spencer Sterling Stockbridge Stoneham Stoughton Stow Sturbridge Sudbury Sutton Swampscott Swansea Taunton Templeton Tewksbury Tisbury Topsfield Townsend Truro Tyngsboro Upton Wakefield Wales Walpole Ware Warren Watertown Wayland Webster Wellesley Wellfleet Wenham Westborough West Bridgewater West Brookfield Westfield Westford West Newbury Weston Westport West Tisbury Westwood Weymouth Whately Wilbraham Williamsburg Williamstown Winchendon Woburn Worcester Wrentham Yarmouth Universities and Colleges Brandeis University Bristol Community College Fitchburg State College Holyoke Community College Lasell College Massachusetts College of Art Massachusetts College of Liberal Arts
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
3,879 40,518 21,624 4,306 11,665 15,280 2,673 13,790 53,553 1,578 14,123 2,440 8,159 10,221 36,996 175,825 11,215 24,304
0
0
0
0
5,313
0
0
0
0
6,927
0
0
0
0
5,508
0 0
0 0
0 0
0 0
6,297 1,275
0
0
0
0
2,286
0
0
0
0
1,805
0 0 0 0 0 0 0
6,010 17,109 17,011 9,719 12,153 7,927 2,256 21,374 26,814 6,263 9,141 17,061 9,154 14,097 16,271 56,091 7,812 29,450 3,806 6,128 9,343 2,163 11,584 6,597 24,557 1,853 23,199 10,031 5,141 32,065 12,954 16,886 26,966 2,798 4,609 18,740 6,795
0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 579 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Massasoit Community College Mount Holyoke College North Shore Community College Salem State College Springfield College Tufts University: Medford Suffolk3 Worcester3 University of Massachusetts, Dartmouth Wellesley College Western New England College State Police Agencies
Other Agencies
MICHIGAN ....
Cities
State Police: Barnstable County Berkshire County Bristol County Dukes County Essex County Franklin County Hampden County Hampshire County Middlesex County Norfolk County Plymouth County Suffolk County Worcester County Massachusetts Bay Transportation Authority: Bristol County Essex County Norfolk County Plymouth County Worcester County Adrian Township Algonac Allegan Allen Park Alma Almont Alpena Armada Auburn Bad Axe Bangor Baraga Bath Township Battle Creek
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
6,975
0
0
0
0
2,153
0
0
0
0
6,910
0
0
0
0
10,230
0
0
0
0
4,994
0 0 0
0 0 0
0 0 0
0 0 0
9,638
0
0
0
0
8,756
0
0
0
0
2,370
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
3,653
7,241 4,585 4,963 27,384 9,231 2,863 10,554 1,640 2,058 3,163 1,881 1,242 11,721 62,143
State
Agency type
Agency name
Belding Belleville Beverly Hills Big Rapids Birch Run Blackman Township Bloomfield Hills Bloomingdale Boyne City Breckenridge Bridgeport Township Bronson Brown City Brownstown Township Buena Vista Township Burr Oak Calumet Cambridge Township Caro Carrollton Township Carsonville Caseville Caspian Cass City Cassopolis Cedar Springs Central Lake Charlevoix Charlotte Cheboygan Chocolay Township Clarkston Clayton Township Clay Township Clinton Coldwater Coleman Colon Columbia Township Concord Corunna Covert Township Crystal Falls Davison Davison Township Decatur Denton Township Dewitt Dewitt Township Dowagiac Dryden Township Durand East Grand Rapids East Jordan East Lansing East Tawas Edmore Elkton Erie Township Evart
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
5,872 3,766 9,955 10,536 1,700
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
25,461 3,818 504 3,193 1,303
0 0 0
0 0 0
0 0 0
0 0 0
11,134 2,294 1,294
0
0
0
0
30,336
0 0 0
0 0 0
0 0 0
0 0 0
9,631 759 797
0 0
0 0
0 0
0 0
6,026 4,136
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
6,128 486 870 2,082 2,568 1,792 3,287 985 2,692 9,047 5,114
0 0
0 0
0 0
0 0
5,989 920
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
7,885 9,848 2,439 10,711 1,252 1,173
0 0 0
0 0 0
0 0
0 0 0
7,734 1,110 3,375
0
0
0
0
0 0 0
0 0 0
3,123 1,636 5,294
0 0
0 0
0 0
0 0
18,940 1,872
0 0
0 0
0 0
0 0
5,649 4,399
0 0
0 0
0 0
0 0
13,295 5,913
0 0
0 0
0 0
0 0
4,773 3,836
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
0 0 0
10,309 2,270 45,979 2,808 1,256 783 4,780 1,717
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
580
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Fairgrove Fenton Flat Rock Flint Township Flushing Flushing Township Forsyth Township Frankenmuth Frankfort Franklin Frost Township Fruitport Gaylord Gerrish Township Gladwin Grand Beach Grand Haven Grandville Grayling Grosse Ile Township Grosse Pointe Grosse Pointe Farms Grosse Pointe Park Grosse Pointe Shores Harbor Beach Harbor Springs Harper Woods Hart Hazel Park Holly Homer Houghton Howard City Howell Huntington Woods Huron Township Imlay City Iron Mountain Iron River Ishpeming Ishpeming Township Ithaca Jackson Kalamazoo Township Keego Harbor Kingsford Lake Angelus Lake Linden Lake Orion Lakeview Lansing Township Lapeer Lapeer Township Lathrup Village Laurium Lawton Lennon Leoni Township Leslie Lexington Lincoln Park Linden Litchfield 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0 0
610 12,151 9,739 32,626 8,014
0
0
0
0
10,394
0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0 0 0 0 0 0
4,855 4,777 1,480 2,977 1,153 1,080 3,749
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
3,198 2,984 245 10,478 16,838 1,902
0 0
0 0
0 0
0 0
10,455 5,289
0
0
0
0
9,099
0
0
0
0
11,606
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
2,644 1,670 1,575 13,284 2,004 18,211 6,410 1,785 7,017 1,615 9,921
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
5,866 16,354 3,825 7,963 3,085 6,440
0 0 0
0 0 0
0 0 0
0 0 0
3,580 3,074 34,325
0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
21,497 2,848 5,426 312 1,050 2,759 1,120 7,822 9,372
0 0
0 0 0 0 0
0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
5,214 4,112 2,001 1,839 501 13,889 2,328 1,086 37,294 3,560 1,422
State
Agency type
Agency name
Lowell Ludington Mackinaw City Mancelona Manistee Manton Marine City Marion Marlette Marquette Marysville Mattawan Melvindale Memphis Mendon Menominee Metamora Township Midland Milford Montague Montrose Township Morenci Munising Muskegon Township Napoleon Township Nashville Negaunee Newaygo New Haven New Lothrop North Branch Northfield Township North Muskegon Norvell Township Norway Novi Orchard Lake Otisville Otsego Ovid Owosso Oxford ParmaSandstone Paw Paw Peck Pentwater Perry Petoskey Pigeon Pinckney Pinconning Pittsfield Township Plainwell Pleasant Ridge Port Austin Portland Prairieville Township Reading Redford Township Reed City Reese Richfield Township, Genesee County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
4,159 8,433 856 1,380 6,604 1,201 4,417 829 2,047 20,467 10,135 2,945 10,469 1,123 922 8,537
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
4,796 41,540 6,629 2,305
0 0 0
0 0 0
0 0 0
0 0 0
7,919 2,323 2,350
0
0
0
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
7,148 1,697 4,429 1,670 5,185 595 1,009
0
0
0
0
8,383
0
0
0
0
3,968
0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
3,077 2,897 55,127 2,230 828 3,900 1,415 15,341 3,583
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
6,902 3,294 580 988 2,084 6,128 1,099 2,470 1,327
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
34,615 3,952 2,471 673 3,793
0 0
0 0
0 0
0 0
3,553 1,096
0 0 0
0 0
0 0
0 0
48,489 2,396 1,384
0
0
0
0
8,874
18,634
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 581 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Richland Township, Saginaw County Richmond Rockford Rockwood Rogers City Romeo Roosevelt Park Rothbury Sand Lake Sault Ste. Marie Schoolcraft Shepherd Somerset Township Southgate South Haven South Rockwood Spring Arbor Township Springfield Spring LakeFerrysburg Standish St. Charles St. Clair St. Ignace St. Johns St. Joseph St. Louis Stockbridge Summit Township Suttons Bay Sylvan Lake Three Rivers Tittabawassee Township Traverse City Tuscarora Township Ubly Unadilla Township Union City Utica Vernon Vicksburg Walker Walled Lake Waterloo Township Wayland West Branch Whitehall White Pigeon Wolverine Lake Woodhaven Woodstock Township Wyandotte Yale Zeeland Zilwaukee Universities and Colleges Ferris State University Grand Rapids Community College Grand Valley State University 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
4,767 29,074 5,182
0
0
0
0
1,646
0 0
0 0
0 0
0 0
8,495 5,137
0
State
Agency type
4,354 5,804 5,248 3,349 3,131 3,806 3,790 447 517 14,279 1,482 1,347
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
5,347 2,009 2,107 5,938 2,324 7,329 8,600 6,463 1,274
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
22,104 591 1,654 7,245
0 0
0 0
0 0
0 0
9,047 14,406
0 0
0 0
0 0
0 0
3,145 796
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
3,477 1,737 5,022 813 2,151 23,794 6,988
0 0 0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
3,035 3,906 1,875 2,819 1,579
0 0
0 0
0 0
0 0
4,307 13,514
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
3,723 26,290 1,967 5,433 1,698
0
0
0
0
12,574
0
0
0
0
15,224
0
0
0
0
23,295
Metropolitan Counties
Nonmetropolitan Counties
Agency name
Macomb Community College Michigan State University Michigan Technological University Mott Community College Northern Michigan University Saginaw Valley State University University of Michigan: Dearborn Flint Western Michigan University
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
21,131
0
0
0
0
45,520
0
0
0
0
6,546
0
0
0
0
10,038
0
0
0
0
9,689
0
0
0
0
9,543
0 0
0 0
0 0
0 0
8,342 6,527
0
0
0
0
24,841
Barry Bay Berrien Calhoun Clinton Genesee Ionia Jackson Kalamazoo Lapeer Muskegon Van Buren Washtenaw Wayne
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
Alcona Alger Allegan Alpena Antrim Benzie Branch Charlevoix Cheboygan Chippewa Clare Delta Dickinson Emmet Gladwin Gratiot Hillsdale Houghton Huron Iosco Iron Isabella Kalkaska Lake Leelanau Lenawee Luce Mackinac Manistee Marquette Menominee Midland Missaukee Montmorency
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
582
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Oceana Ontonagon Osceola Oscoda Otsego Presque Isle Roscommon Sanilac Schoolcraft Shiawassee St. Joseph State Police Agencies
1Agencies
State Police: Alcona County Alger County Allegan County Alpena County Antrim County Arenac County Baraga County Barry County Bay County Benzie County Branch County Calhoun County Cass County Charlevoix County Cheboygan County Chippewa County Clare County Clinton County Crawford County Delta County Dickinson County Eaton County Emmet County Genesee County Gladwin County Gogebic County Grand Traverse County Gratiot County Hillsdale County Houghton County Huron County Ingham County Ionia County Iosco County Iron County Jackson County Kalkaska County Kent County Keweenaw County Lake County Lapeer County Leelanau County Lenawee County Livingston County Luce County
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
Population2
State
Agency type
Agency name
Mackinac County Macomb County Manistee County Marquette County Mason County Mecosta County Menominee County Midland County Missaukee County Monroe County Montcalm County Montmorency County Muskegon County Newaygo County Oakland County Oceana County Ogemaw County Ontonagon County Osceola County Oscoda County Otsego County Ottawa County Presque Isle County Roscommon County Saginaw County Sanilac County Schoolcraft County Shiawassee County St. Clair County St. Joseph County Tuscola County Van Buren County Washtenaw County Wayne County Wexford County Other Agencies
MINNESOTA ..
Cities
Bishop International Airport Huron-Clinton Metropolitan Authority: Hudson Mills Metropark Kensington Metropark Lower Huron Metropark Albany Albert Lea Alexandria Andover
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
2,072 17,663 11,029 30,728
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 583 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Annandale Appleton Apple Valley Arden Hills Aurora Austin Avon Babbitt Baxter Bayport Becker Belgrade Belle Plaine Benson Big Lake Biwabik Blooming Prairie Blue Earth Brainerd Breckenridge Browns Valley Brownton Buffalo Caledonia Cambridge Cannon Falls Centennial Lakes Champlin Chaska Chisholm Cloquet Cold Spring Columbia Heights Corcoran Crookston Crosby Crystal Dawson Dayton DeephavenWoodland Detroit Lakes Dilworth Duluth Eagle Lake East Bethel East Grand Forks Elmore Ely Eveleth Fairmont Falcon Heights Faribault Farmington Fergus Falls Floodwood Fridley Gilbert Glencoe Glenwood Golden Valley Goodview Grand Rapids Granite Falls Hallock Ham Lake Hastings Hermantown Hilltop Hokah Hopkins
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3,114 1,929 50,794 9,852 1,720 23,300 1,284 1,588 8,243 3,266 4,294 705 4,998 3,096 9,852 944
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
1,975 3,366 13,731 3,325 619 795 14,456 2,910 7,687 4,038
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
11,454 23,463 24,764 4,592 11,523 3,726
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
17,894 5,698 7,752 2,232 21,325 1,405 4,620
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
4,129 8,111 3,600 83,932 2,130 12,267
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
7,896 677 3,565 3,577 10,337 5,417 22,408 19,276 13,842 493 26,124 1,743 5,644 2,553 19,865 3,394 8,297 2,961 1,051 15,235 21,839 9,247 749 582 16,613
State
Agency type
Agency name
Houston Hoyt Lakes Hutchinson International Falls Inver Grove Heights Jackson Janesville Jordan Kasson Kimball La Crescent Lake City Lake Crystal Lakefield Lauderdale Lester Prairie Le Sueur Lewiston Lino Lakes Litchfield Little Canada Little Falls Long Prairie Madison Maple Grove Mapleton Medina Melrose Mendota Heights Milaca Minnetrista Montgomery Moose Lake Morris Mound Mounds View Mountain Iron Mountain Lake New Brighton Newport New Prague New Richland New Ulm North Branch North Mankato North Oaks Oak Park Heights Olivia Orono Ortonville Osakis Osseo Owatonna Park Rapids Paynesville Plainview Princeton Prior Lake Proctor Ramsey Redwood Falls Richfield Richmond Robbinsdale Rogers Roseau Rosemount Sartell Sauk Centre Sauk Rapids Shakopee
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0
0 0 0
0 0 0
0 0 0
991 1,957 14,050
0
0
0
0
6,108
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
34,060 3,429 2,201 5,550 5,737 691 5,106 5,409 2,562 1,687 2,169 1,737 4,331 1,483 20,334 6,655 9,491 8,162 2,877 1,605 62,145 1,633 5,033 3,146
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
11,318 3,073 8,350 3,308 2,622 5,057 9,404 11,921 2,902 1,982 20,644 3,606 7,153 1,155 13,369 10,886 12,295 4,194
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,097 2,449 12,212 2,003 1,570 2,553 24,796 3,577 2,255 3,306 4,885 23,879 2,771 23,617 5,155 33,112 1,264 13,211 6,802 2,827 21,393 13,816 3,906 11,768 35,113
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
584
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Shoreview Silver Bay Silver Lake Slayton Sleepy Eye South Eastern Faribault County South Lake Minnetonka South St. Paul Springfield Spring Grove Spring Lake Park St. Anthony Staples St. Charles St. Francis St. James St. Joseph St. Paul Park St. Peter Thief River Falls Tracy Two Harbors Vadnais Heights Virginia Wabasha Wadena Waite Park Warroad Waseca Wayzata Wells West Hennepin West St. Paul Windom Winnebago Winona Winsted Worthington Wyoming Zumbrota Universities and Colleges University of Minnesota: Duluth Morris Metropolitan Counties Anoka Benton Carlton Chisago Clay Dakota Dodge Hennepin Houston Isanti Olmsted Polk Ramsey Scott Sherburne Stearns St. Louis Wabasha Washington Wright 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
26,860 1,913 814 1,907 3,463
0
0
0
0
1,151
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
12,066 19,188 2,124 1,268
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
6,618 7,680 3,082 3,567 7,744 4,380 5,926 5,285 10,823
0 0 0
0 0 0
0 0 0
0 0 0
8,440 2,045 3,435
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
12,447 8,471 2,587 3,981 6,795 1,663 9,465 3,894 2,442
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
5,671 18,748 4,327 1,386 26,464 2,457 11,026 3,985 3,050
0 0
0 0
0 0
0 0
11,190 1,747
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
State
Agency type
Nonmetropolitan Counties
State Police Agencies
Other Agencies
Agency name
Aitkin Becker Big Stone Blue Earth Brown Cass Chippewa Clearwater Cook Cottonwood Crow Wing Faribault Fillmore Freeborn Goodhue Grant Hubbard Itasca Jackson Kanabec Kandiyohi Kittson Koochiching Lac Qui Parle Lake Lake of the Woods Le Sueur Lincoln Lyon Mahnomen Marshall Martin Meeker Mille Lacs Morrison Mower Murray Nicollet Nobles Norman Otter Tail Pennington Pine Pipestone Pope Red Lake Redwood Renville Rice Rock Roseau Sibley Steele Stevens Swift Todd Traverse Wadena Waseca Watonwan Wilkin Winona Yellow Medicine
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
Minnesota State Patrol
0
0
0
0
Capitol Security, St. Paul
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 585 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
MISSISSIPPI...
Agency type
Cities
Agency name
MinneapolisSt. Paul International Airport Three Rivers Park District Aberdeen Amory Batesville Bay St. Louis Bruce Byhalia Clarksdale Columbia Columbus Edwards Eupora Flowood Fulton Grenada Heidelberg Hernando Horn Lake Iuka Magee Magnolia McComb New Albany Newton Olive Branch Oxford Pascagoula Picayune Richland Rolling Fork Shaw Starkville Tupelo Vicksburg Waveland Waynesboro West Point
Universities and Colleges Coahoma Community College Jackson State University Mississippi State University University of Mississippi, Oxford Metropolitan Counties Forrest Nonmetropolitan Counties Adams Chickasaw Claiborne Coahoma Grenada Leflore Lincoln Lowndes Marion Oktibbeha Panola Pontotoc Sunflower Tippah Union Warren Washington
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
State
MISSOURI......
0
0
0
0
0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0
0
0 0
0 0 0 0
0 0
0 0
0
0
0 0 0 0 0
6,138 7,332 7,767 6,399 2,018 714 18,650 6,491 23,968 1,309 2,236 7,112 4,127 14,487 806 11,115 23,125 2,947 4,314 2,126 13,583 8,113 3,698 31,223 14,362 23,555 11,805 7,273 2,159 2,199 22,663 36,142 25,610 5,668 5,655 11,433
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0 0 0 0 0 0 0 0 0
0 0
0 0 0
0
0
0
0
1,838
0
0
0
8,256
0
0
0
0
16,206
0
0
0
15,220
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Agency type
Cities
Agency name
Adrian Advance Alma Alton Anderson Appleton City Arbyrd Archie Arnold Ashland Auxvasse Ava Ballwin Bates City Battlefield Bella Villa Belle Bellefontaine Neighbors Bellerive Bel-Nor Bel-Ridge Belton Berkeley Bernie Bethany Beverly Hills Billings Birch Tree Birmingham Blackburn Bloomfield Bolivar Bonne Terre Boonville Bowling Green Branson Branson West Braymer Breckenridge Hills Brentwood Bridgeton Brookfield Brunswick Bucklin Buckner Buffalo Bunker Butler Butterfield Village Byrnes Mill Cabool California Calverton Park Camden Point Camdenton Campbell Canton Cape Girardeau Cardwell Carl Junction Carterville Carthage Cassville Center Centralia Chaffee Charlack Charleston Chesterfield Clarkton Claycomo Clayton
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
10,430 257 1,496 2,924 24,492 9,460 1,803 3,078 564 1,135 627 216 275 1,883 10,748 7,153 8,830 5,166 7,496 514 963
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
4,525 7,238 15,120 4,371 882 482 2,738 3,143 437 4,271
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
426 2,912 2,150 4,209 1,286 558 3,226 1,853 2,489 36,754 739 7,071 1,937 13,407 3,278 646 3,593 2,981 1,357 5,268 46,642 1,262 1,289 16,036
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,885 1,214 373 645 1,927 1,302 496 989 20,831 2,156 1,006 3,124 30,120 237 4,148 642 1,362
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
586
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Cleveland Clever Cole Camp Columbia Concordia Conway Cool Valley Cooter Corder Cottleville Country Club Hills Country Club Village Crane Crestwood Creve Coeur Crocker Crystal City Cuba Deepwater Dellwood Desloge De Soto Des Peres Dexter Doniphan Drexel Duenweg Duquesne East Lynne Edgerton Edmundson El Dorado Springs Ellington Ellisville Elsberry Emma Eureka Everton Fair Grove Fair Play Farber Farmington Fayette Ferguson Ferrelview Festus Flordell Hills Florissant Foley Fordland Foristell Forsyth Fredericktown Freeman Frontenac Fulton Galena Gallatin Garden City Gerald Glasgow Glendale Glen Echo Park Goodman Grandin Greendale Greenfield Greenwood Hallsville Hannibal Harrisonville Hartville 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
0 0
0 0
0 0
0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
690 1,321 1,160 95,595 2,409 786 1,014 430 423 2,685
0
0
0
1,293
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
1,977 1,445 11,545 17,028 989 4,599 3,529 505 4,937 5,218 6,579 8,626 7,658 1,935 1,106 1,213 1,708 308 550 789
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3,811 999 9,323 2,601 236 9,287 321 1,331 451 396 15,711 2,686 21,142 584 11,390 870 51,025 209 765 330 1,698 4,057 611 3,531 12,311 529 1,761 1,694 1,242 1,194 5,526 159 1,265 238 698 1,286 4,650 939 17,612 9,935 604
State
Agency type
Agency name
Hawk Point Hayti Heights Hazelwood Henrietta Herculaneum Hermann Higginsville High Hill Highlandville Hillsboro Holcomb Hollister Holts Summit Hornersville Houston Humansville Huntsville Hurley Iberia Indian Point Iron Mountain Lake Ironton Jackson JASCO Metropolitan Jennings Jonesburg Joplin Kearney Kennett Keytesville Kimberling City King City Kirkwood Knob Noster Ladue La Grange Lake Lotawana Lake Ozark Lakeshire Lake St. Louis Lake Tapawingo Lake Waukomis Lake Winnebago Lamar La Monte Lathrop La Tour Village Laurie Lawson Leadington Leadwood Lebanon Leeton Lexington Liberal Liberty Licking Lilbourn Lincoln Linn Linn Creek Lockwood Lone Jack Lowry City Malden Manchester Mansfield Maplewood Marceline Marionville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0
552 772 25,407 442 3,306 2,759 4,662 222 929 1,938 691 3,797 3,600 674 2,025 1,008 1,641 160 684 672
0 0 0
0 0 0
0 0 0
707 1,353 13,431
0 0 0 0
0 0 0 0
0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0
2,802 14,738 724 48,261 8,262 10,909 508 2,584 910 26,875 3,072 8,199 934 1,945 2,022 1,297 14,325
0
0
0
0
795
0
0
0
0
900
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
1,130 4,649 1,076 2,357 66 719 2,407 220 1,173 13,964 625 4,590 811 30,050 1,516 1,205 1,107 1,432 301 953 887 749 4,569 18,769 1,359 8,701 2,331 2,177
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 587 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Marquand Marshfield Marston Marthasville Martinsburg Maryland Heights Maryville Matthews Maysville Mayview Memphis Merriam Woods Mexico Milan Miller Miner Moberly Moline Acres Monett Montgomery City Montrose Moscow Mills Mound City Mountain Grove Mountain View Mount Vernon Napoleon Neosho Nevada New Bloomfield Newburg New Florence New Haven New London New Madrid New Melle Niangua Noel Norborne Normandy North Kansas City Northmoor Northwoods Norwood Oak Grove Oakland Oakview Village Odessa Old Monroe Olivette Olympian Village Oran Orrick Osage Beach Osceola Overland Owensville Ozark Pacific Pagedale Parkville Parma Pasadena Park Perry Perryville Pevely Piedmont Pierce City Pilot Grove
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0
Population2
0 0 0 0 0
265 7,173 549 864 328
0 0
26,221 10,540 545 1,137 292 1,995 1,194 10,965 1,796 801 1,329 14,023 2,540 8,851
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
2,538 434 2,460 1,078
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,635 2,605 4,511 200 11,328 8,457 749 476 776 2,014 1,011 3,073 286 497 1,562 776 4,946
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0 0 0 0
5,619 403 4,353 583 7,069 1,575
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
389 4,828 300 7,439
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
675 1,259 848 4,554 804 15,783 2,523 17,496 7,245 3,440 5,276 785 463 668 8,062 4,442 1,954 1,456 748
0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
State
Agency type
Agency name
Pilot Knob Pine Lawn Pineville Platte City Platte Woods Plattsburg Pleasant Hill Pleasant Hope Polo Poplar Bluff Portageville Purdy Puxico Randolph Raymore Raytown Reeds Spring Republic Rich Hill Richland Richmond Heights Riverside Riverview Rock Hill Rock Port Rogersville Rosebud Salem Salisbury Sarcoxie Savannah Scott City Sedalia Senath Seymour Shrewsbury Slater Smithville Southwest City Sparta St. Ann St. Charles St. Clair Steele Steelville Ste. Genevieve Stewartsville St. George St. James St. Joseph St. Marys Strafford St. Robert Sturgeon Sugar Creek Sullivan Summersville Sunset Hills Sweet Springs Tarkio Thayer Tipton Town and Country Tracy Trenton Trimble Troy Truesdale Union Unionville University City Uplands Park Urbana
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0
0 0 0 0 0 0 0 0
688 4,038 878 4,971 458 2,416 7,108 590 607 17,054 2,990 1,175 1,149 50 17,439 28,344 720 11,777 1,510 1,756
0 0 0 0 0
0 0 0
9,179 2,961 2,948 4,641 1,306 2,647 378 4,860 1,600 1,341 5,118 4,571 20,682 1,626 2,025 6,290 1,911 7,777 931 1,223 12,887 63,277 4,400 2,136 1,454 4,479 741 1,222 4,110 72,424 392 2,025 3,319 897 3,506 6,698 562 8,314 1,527 1,823 2,166 3,125
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
10,757 210 6,070 481 11,674 615 9,648 1,959 36,743 442 435
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
588
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Vandalia Velda City Velda Village Hills Verona Versailles Viburnum Vienna Vinita Park Wardell Warrenton Warsaw Warson Woods Washington Waverly Waynesville Weatherby Lake Webb City Webster Groves Wellington Wellsville Wentzville Weston West Plains Westwood Wheaton Willard Willow Springs Winfield Winona Woodson Terrace Wright City Universities and Colleges Lincoln University Mineral Area College Missouri Western State University Northwest Missouri State University Southeast Missouri State University St. Louis Community College, Meramec Truman State University University of Central Missouri University of Missouri: Rolla St. Louis Washington University Metropolitan Counties Andrew Bates Boone Buchanan Caldwell Callaway Cass Christian Clay Clinton Cole Dallas 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0
0 0
0 0
0 0
4,099 1,512
0 0 0 0 0 0 0 0 0 0 0 0 0
0
0 0
0 0
0 0 0 0
0 0 0
1,047 726 2,709 808 643 1,803 255 7,146 2,273 1,875 14,367 802 3,616
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0
1,856 11,142 22,620 777 1,383 24,137 1,594 11,673 295 749 3,320 2,145 900 1,343 4,056 2,837
0
0
0
0
3,224
0
0
0
0
2,926
0
0
0
0
5,276
0
0
0
0
6,242
0
0
0
0
10,454
0
0
0
0
10,887
0
0
0
0
5,820
0
0
0
0
10,711
0 0
0 0
0 0
0 0
5,858 15,528
0
0
0
0
13,355
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
State
Agency type
Nonmetropolitan Counties
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
De Kalb Franklin Greene Jackson Jasper Jefferson Lafayette Lincoln McDonald Moniteau Newton Osage Platte Polk Ray Washington Webster
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Adair Atchison Audrain Barry Barton Benton Bollinger Butler Camden Cape Girardeau Carroll Carter Chariton Cooper Crawford Dade Daviess Dent Dunklin Gasconade Gentry Grundy Harrison Henry Hickory Holt Howell Iron Johnson Knox Laclede Lawrence Lewis Linn Livingston Macon Maries Marion Mercer Miller Monroe Montgomery Morgan New Madrid Nodaway Ozark Pemiscot Perry Pettis Phelps Pike Ralls Randolph Reynolds Ripley Saline
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 589 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
State Police Agencies
Other Agencies
MONTANA.....
1Agencies
Cities
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Scotland Scott Shannon Shelby Ste. Genevieve St. Francois Stoddard Stone Sullivan Taney Texas Vernon Wayne Wright
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
State Highway Patrol: Jefferson City Kirkwood Lee’s Summit Macon Poplar Bluff Rolla Springfield St. Joseph Willow Springs
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
Bootheel Drug Task Force Capitol Police Clay County Drug Task Force Clay County Park Authority Department of Conservation Division of Alcohol and Tobacco Control Gaming Commission, Enforcement Division Jackson County Drug Task Force Jackson County Park Rangers LambertSt. Louis International Airport Platte County MultiJurisdictional Enforcement Group State Fire Marshal State Park Rangers State Water Patrol St. Charles County Park Rangers St. Peters Ranger Division Baker Belgrade Boulder Bozeman Bridger Chinook
0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0 0 0 0 0 0 0
State
Agency type
Agency name
Columbia Falls Columbus Conrad Cut Bank Dillon East Helena Ennis Eureka Fort Benton Glasgow Glendive Hamilton Joliet Kalispell Laurel Lewistown Libby Livingston Manhattan Miles City Plains Polson Poplar Red Lodge Ronan City Sidney Stevensville St. Ignatius Thompson Falls Three Forks Troy West Yellowstone Whitefish Wolf Point
0 0 0 0 0
0 0
0
Population2
1,620 7,552 1,468 36,158 749 1,283
Universities and Colleges Montana State University Metropolitan Counties Carbon Cascade Yellowstone Nonmetropolitan Counties Beaverhead Big Horn Blaine Broadwater Carter Chouteau Custer Dawson Deer Lodge Fallon Fergus Gallatin Garfield Glacier Golden Valley Granite Hill Jefferson Judith Basin Lake Lincoln Madison McCone Meagher Mineral Musselshell Park Phillips Pondera Powell
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,826 1,954 2,556 3,182 4,029 2,108 1,029 1,030 1,451 2,926 4,606 4,774 617 20,104 6,434 6,047 2,666 7,307 1,503 8,033 1,272 5,082 900 2,494 2,033 4,761 1,966 830 1,420 1,865 996
0 0 0 0 0
0 0 0
0 0
0 0
0 0
1,240 8,007 2,608
0
0
0
0
12,052
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
590
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
NEBRASKA...
Agency type
Cities
Metropolitan Counties
Nonmetropolitan Counties
1Agencies
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Roosevelt Rosebud Sanders Sheridan Stillwater Sweet Grass Teton Toole Valley Wheatland Wibaux Aurora Beatrice Bellevue Blair Broken Bow Central City Chadron Columbus Cozad Emerson Fremont Gothenburg Holdrege La Vista Lexington Madison McCook Minden Nebraska City Norfolk Ogallala Plattsmouth Ralston Seward St. Paul Valentine Waterloo West Point Wymore
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
Cass Dixon Sarpy Seward
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
Adams Boone Buffalo Cuming Custer Dawson Frontier Gage Garden Gosper Hall Hamilton Harlan Jefferson Kearney Keith Madison Nance Nemaha Perkins Phelps Polk Saline Sherman Wayne York
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
State Police Agencies
4,261 12,972 48,067 7,962 3,235 2,839 5,158 21,420 4,293 819 25,423 3,748 5,281 16,816 10,262 2,279 7,491 2,867 7,106 23,977 4,585 7,070 6,144 6,922 2,263 2,694 778 3,446 1,612
Agency name
Nebraska State Patrol State Patrol: Adams County Antelope County Arthur County Banner County Blaine County Boone County Box Butte County Boyd County Brown County Buffalo County Burt County Butler County Cass County Cedar County Chase County Cherry County Cheyenne County Clay County Colfax County Cuming County Custer County Dakota County Dawes County Dawson County Deuel County Dixon County Dodge County Douglas County Dundy County Fillmore County Franklin County Frontier County Furnas County Gage County Garden County Garfield County Gosper County Grant County Greeley County Hall County Hamilton County Harlan County Hayes County Hitchcock County Holt County Hooker County Howard County Jefferson County Johnson County Kearney County Keith County Keya Paha County Kimball County Knox County Lancaster County Lincoln County Logan County Loup County Madison County McPherson County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 591 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
NEVADA ........
Agency type
Cities
Agency name
Merrick County Morrill County Nance County Nemaha County Nuckolls County Otoe County Pawnee County Perkins County Phelps County Pierce County Platte County Polk County Red Willow County Richardson County Rock County Saline County Sarpy County Saunders County Scotts Bluff County Seward County Sheridan County Sherman County Sioux County Stanton County Thayer County Thomas County Thurston County Valley County Washington County Wayne County Webster County Wheeler County York County Boulder City Carlin Elko Fallon Henderson Lovelock Sparks West Wendover Winnemucca Yerington
Universities and Colleges Truckee Meadows Community College University of Nevada: Las Vegas Reno Metropolitan Counties Carson City Storey Nonmetropolitan Counties Churchill Douglas Esmeralda Eureka Humboldt Lander Lincoln Lyon
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0
0 0
0 0
0
0 0
0
0
Population2
NEW HAMPSHIRE..
15,028 2,121 16,933 8,444 251,270 1,886 86,884 5,128 8,051 3,947
0
0
11,556
0 0
0 0
27,912 16,663
0 0
0 0 0 0 0 0 0 0
0 0 0
0
State
Agency type
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Mineral Pershing White Pine
0 0 0
0
0
Alexandria Alstead Alton Amherst Antrim Ashland Barnstead Barrington Bartlett Bedford Belmont Bennington Berlin Bethlehem Boscawen Bradford Brentwood Bristol Campton Candia Canterbury Carroll Charlestown Chester Claremont Colebrook Conway Dalton Danville Deerfield Deering Dover Dublin Dunbarton Enfield Epping Epsom Fitzwilliam Franconia Freedom Fremont Gilford Gilmanton Goffstown Gorham Grantham Greenland Hampstead Hampton Hancock Haverhill Hill Hillsborough Hinsdale Hooksett Hopkinton Jaffrey Kingston Lancaster Lebanon Lincoln Lisbon Litchfield Littleton Madison Marlborough Meredith Middleton Milton Mont Vernon
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
1,524 2,057 5,205 11,836 2,642 2,029 4,719 8,384 2,945 21,389 7,365 1,488 9,909 2,452 3,930 1,534 3,866 3,145 3,001 4,200 2,353 752 4,987 4,793 13,291 2,406 9,300 907 4,425 4,220 2,070 28,661 1,565 2,641 4,890 6,263 4,609 2,321 1,052 1,469 4,156 7,569 3,621 17,810 2,914 2,578 3,409 8,904 15,493 1,824 4,623 1,120 5,539 4,219 13,705 5,651 5,729 6,284 3,362 12,589 1,322 1,663 8,737 6,213 2,329 2,107 6,780 1,806 4,531 2,433
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
592
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Moultonborough Newbury New Durham Newfields New Hampton Newington New Ipswich New London Newmarket Newport Newton Northfield North Hampton Northumberland Northwood Nottingham Ossipee Pelham Peterborough Plaistow Plymouth Raymond Rollinsford Rye Sandown Sandwich Somersworth Strafford Stratham Sugar Hill Sunapee Thornton Tilton Troy Wakefield Walpole Warner Washington Waterville Valley Webster Wilton Wolfeboro Woodstock Metropolitan Counties Nonmetropolitan Counties
Other Agencies NEW JERSEY
1Agencies
Cities
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
Population2
5,019 2,129 2,536 1,598 2,283 816 5,258 4,510 9,723 6,570 4,544 5,257 4,600 2,397 4,122 4,564 4,723 12,774 6,127 7,702 6,406 10,256 2,627 5,219 5,873 1,335 11,815 4,084 7,293 602 3,398 2,105 3,645 2,098 5,477 3,713 3,021 1,084 271 1,900 3,946 6,710 1,181
Rockingham
0
0
0
0
Carroll Cheshire Merrimack
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
6,683 2,426 2,418
0
0
0
0
6,523
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
4,594 8,941 1,066 2,116
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
2,156 829 6,973 1,254 1,360 10,696 11,143 5,897 2,689
Liquor Commission Allendale Alpha Alpine Andover Township Atlantic Highlands Audubon Audubon Park Avalon Avon-bythe-Sea Barnegat Light Barrington Bay Head Beach Haven Beachwood Bellmawr Belmar Belvidere
State
Agency type
Agency name
Bergenfield Berkeley Heights Township Berlin Bernardsville Beverly Blairstown Township Bogota Boonton Boonton Township Bordentown Bordentown Township Brick Township Bridgeton Brielle Brooklawn Burlington Butler Byram Township Cape May Cape May Point Carlstadt Carney’s Point Township Chesilhurst Chester Chesterfield Township Chester Township Cinnaminson Township Clark Township Clayton Clementon Cliffside Park Clinton Closter Colts Neck Township Cresskill Deal Delaware Township Delran Township Demarest Dover East Newark East Rutherford Eatontown Edgewater Edgewater Park Township Egg Harbor City Elk Township Elmer Elmwood Park Elsinboro Township Emerson Englewood Englewood Cliffs Essex Fells Evesham Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0
0
0
0
26,078
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
13,515 7,875 7,654 2,639
0 0 0
0 0 0
0 0 0
0 0 0
5,956 8,072 8,562
0 0
0 0
0 0
0 0
4,377 3,935
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
10,423 77,886 24,281 4,831 2,284 9,672 8,038
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
8,618 3,792 229 6,010
0 0 0
0 0 0
0 0 0
0 0 0
7,946 1,871 1,644
0
0
0
0
6,422
0
0
0
0
7,855
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
15,381 14,585 7,436 4,900 22,868 2,593 8,691
0 0 0
0 0 0
0 0 0
0 0 0
11,536 8,400 1,039
0
0
0
0
4,709
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
17,206 5,083 18,306 2,207
0 0 0
0 0 0
0 0 0
0 0 0
8,891 13,960 9,585
0
0
0
0
7,933
0 0 0
0 0 0
0 0 0
0 0 0
4,434 3,850 1,364
0
0
0
0
18,722
0 0 0
0 0 0
0 0 0
0 0 0
1,068 7,286 27,701
0 0
0 0
0 0
0 0
5,767 2,062
0
0
0
0
46,504
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 593 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Fairfield Township, Essex County Fair Haven Fanwood Far Hills Flemington Florence Township Florham Park Fort Lee Franklin Franklin Township, Gloucester County Frenchtown Garfield Garwood Gibbsboro Glen Ridge Gloucester City Green Brook Township Greenwich Township, Gloucester County Greenwich Township, Warren County Guttenberg Haddon Heights Haledon Hamburg Hammonton Hanover Township Harrington Park Harrison Harvey Cedars Hasbrouck Heights Haworth Helmetta Highlands Hillsdale Hillside Township Hi-Nella Ho-Ho-Kus Holland Township Hopewell Independence Township Interlaken Irvington Island Heights Jamesburg Jefferson Township Kearny Kenilworth Keyport Lake Como Laurel Springs Lavallette Lawnside Leonia Lincoln Park Linden Lindenwold Linwood 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
7,673 5,859 7,179 924 4,248
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
11,585 12,549 36,844 5,187
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
16,778 1,484 29,515 4,214 2,440 6,877 11,431
0
0
0
0
6,824
0
0
0
0
4,950
0 0
0 0
0 0
0 0
5,206 10,670
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
7,332 8,321 3,538 13,512
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
13,676 4,894 13,880 387
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
11,570 3,418 2,014 4,965 10,008
0 0 0
0 0 0
0 0 0
0 0 0
21,588 1,003 4,077
0 0
0 0
0 0
0 0
5,286 2,013
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
5,744 877 57,767 1,869 6,401
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
21,866 37,840 7,707 7,438 1,744 1,914 2,740 2,788 8,760 10,808 39,697 17,084 7,321
State
Agency type
Agency name
Livingston Township Loch Arbour Long Branch Long Hill Township Longport Lopatcong Township Lower Alloways Creek Township Lower Township Lyndhurst Township Manasquan Mansfield Township, Burlington County Mansfield Township, Warren County Mantoloking Mantua Township Manville Maplewood Township Matawan Maywood Mendham Township Merchantville Metuchen Middlesex Midland Park Millburn Township Mine Hill Township Monmouth Beach Montgomery Township Moonachie Morris Plains Morristown Morris Township Mountain Lakes Mountainside Mount Ephraim Mullica Township Netcong Newfield New Hanover Township New Milford North Arlington North Bergen Township North Caldwell Northfield North Haledon North Hanover Township Northvale Ocean City Oceanport Ocean Township, Ocean County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0
0 0 0
0 0 0
0 0 0
28,287 273 32,171
0 0
0 0
0 0
0 0
8,746 1,083
0
0
0
0
8,402
0 0
0 0
0 0
0 0
1,906 20,693
0 0
0 0
0 0
0 0
19,645 6,172
0
0
0
0
8,011
0 0
0 0
0 0
0 0
8,237 449
0 0
0 0
0 0
0 0
14,908 10,435
0 0 0
0 0 0
0 0 0
0 0 0
22,658 8,742 9,332
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
5,571 3,789 13,157 13,685 6,875
0
0
0
0
19,068
0
0
0
0
3,650
0
0
0
0
3,558
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
23,140 2,785 5,576 18,838
0
0
0
0
21,279
0 0 0
0 0 0
0 0 0
0 0 0
4,324 6,615 4,417
0 0 0
0 0 0
0 0 0
0 0 0
6,053 3,277 1,657
0 0 0
0 0 0
0 0 0
0 0 0
9,437 16,171 15,010
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
56,984 7,175 7,968 8,999
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
7,543 4,542 15,057 5,726
0
0
0
0
8,205
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
594
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Ogdensburg Old Tappan Orange Palisades Park Palmyra Paramus Paterson Peapack and Gladstone Pemberton Pemberton Township Pennington Penns Grove Pequannock Township Perth Amboy Pine Beach Pine Valley Pitman Pleasantville Plumsted Township Pompton Lakes Princeton Township Rahway Ramsey Randolph Township Ridgefield Ridgefield Park Ringwood Riverdale River Edge Riverside Township Riverton Rochelle Park Township Rockaway Rockleigh Roseland Roselle Park Rumson Saddle Brook Township Saddle River Scotch Plains Township Sea Girt Sea Isle City Seaside Heights Seaside Park Secaucus Ship Bottom Shrewsbury Somerdale Somers Point South Amboy South Bound Brook South Hackensack Township South Toms River Sparta Township Springfield Township Spring Lake Spring Lake Heights Stillwater Township 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
2,611 5,986 31,717 19,220 7,564 26,430 148,049
0 0
0 0
0 0
0 0
2,469 1,375
0 0 0
0 0 0
0 0 0
0 0 0
28,703 2,676 4,776
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
16,248 48,392 2,023 23 9,158 18,898
0 0
0 0
0 0
0 0
8,086 11,193
0 0 0
0 0 0
0 0 0
0 0 0
17,276 27,720 14,710
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
25,622 10,947 12,609 12,757 2,664 10,814
0 0
0 0
0 0
0 0
7,915 2,703
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
6,000 6,382 391 5,376 13,066 7,162
0 0
0 0
0 0
0 0
13,565 3,769
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
23,143 2,035 2,936 3,228 2,292 15,493 1,421 3,701 5,100 11,522 7,830
0
0
0
0
4,504
0
0
0
0
2,303
0 0
0 0
0 0
0 0
3,700 19,262
0 0
0 0
0 0
0 0
3,554 3,460
0
0
0
0
5,083
0
0
0
0
4,366
State
Agency type
Agency name
Stone Harbor Stratford Summit Surf City Swedesboro Tavistock Tenafly Teterboro Tewksbury Township Toms River Township Tuckerton Upper Saddle River Verona Vineland Waldwick Wall Township Washington Township, Bergen County Washington Township, Warren County Watchung Waterford Township Wayne Township Weehawken Township Wenonah Westampton Township West Amwell Township West Cape May West Deptford Township Westfield West Milford Township West New York West Orange West Paterson Westville West Wildwood West Windsor Township Westwood Wharton Wildwood Wildwood Crest Willingboro Township Winfield Township Woodbine Woodbury Heights Woodcliff Lake Woodlynne Wood-Ridge Woodstown Woolwich Township Wyckoff Township State Police Agencies
State Police: Atlantic County Bergen County Burlington County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
1,034 7,090 21,010 1,535 2,034 26 14,326 18
0
0
0
0
6,061
0 0
0 0
0 0
0 0
94,469 3,810
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
8,493 12,880 58,013 9,578 25,882
0
0
0
0
9,627
0 0
0 0
0 0
0 0
6,950 6,256
0
0
0
0
10,660
0
0
0
0
54,606
0 0
0 0
0 0
0 0
12,593 2,323
0
0
0
0
8,732
0 0
0 0
0 0
0 0
2,931 1,003
0 0
0 0
0 0
0 0
21,667 29,811
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
28,019 46,193 43,343 11,184 4,438 406
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
26,163 10,886 6,183 5,285 3,691
0
0
0
0
32,899
0 0
0 0
0 0
0 0
1,479 2,497
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
3,017 5,927 2,706 7,560 3,318
0
0
0
0
8,574
0
0
0
0
17,091
0 0
0 0
0 0
0 0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 595 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Camden County Cape May County Cumberland County Essex County Gloucester County Hudson County Hunterdon County Mercer County Middlesex County Monmouth County Morris County Ocean County Passaic County Salem County Somerset County Union County Other Agencies
NEW MEXICO .........
Cities
Human Services, Woodland Township Hunterdon Developmental Center Alamogordo Angel Fire Bayard Belen Bosque Farms Carrizozo Corrales Cuba Deming Dexter Eunice Hatch Hobbs Lordsburg Los Alamos Los Lunas Lovington Melrose Red River Roswell Santa Rosa Silver City Socorro Springer Tatum
Universities and Colleges Eastern New Mexico University University of New Mexico Metropolitan Counties San Juan Valencia Nonmetropolitan Counties Catron Chaves Colfax Curry Eddy Hidalgo 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0
0 0 0 0 0
0
NEW YORK....
36,162 1,115 2,371 7,128 3,991 1,099 7,936 640 15,449 1,243 2,636 1,648 29,378 2,691 19,088 12,022 9,723 721 494 45,581 2,450 9,903 8,570 1,185 717
0
0
4,122
0
0
0
25,721
0 0
0 0
0 0
0
0
0 0 0 0 0
Agency type
0 0
0 0 0
Agency name
Lea Luna McKinley Mora Quay Rio Arriba Sierra Socorro
0
0 0
State
0
0
0
Population2
Other Agencies– Tribal Cities
Acoma Tribal Adams Village Addison Town and Village Akron Village Alexandria Bay Village Allegany Village Amity Town and Belmont Village Amityville Village Amsterdam Arcade Village Asharoken Village Attica Village Avon Village Baldwinsville Village Batavia Bath Village Beacon Bedford Town Bolivar Village Bolton Town Boonville Village Brewster Briarcliff Manor Village Camden Village Camillus Town and Village Canajoharie Village Canisteo Village Canton Village Cape Vincent Village Carmel Town Carroll Town Cattaraugus Village Cayuga Heights Village Central Square Village Chatham Village Chester Village Chittenango Village Cicero Town Clayton Village Clay Town Clifton Springs Village Cobleskill Village Cohoes Colchester Town
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0
0 0
0 0 0
0 0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
1,637
0 0
0
0
0 0
2,559 3,015
0 0
0 0
0 0
0 0
1,083 1,795
0
0
0
0
2,158
0 0
0
0
9,412 17,678 1,927
0 0 0
0 0 0
0 0 0
0 0 0
635 2,464 2,955
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0 0 0 0 0 0
7,105 15,368 5,532 14,928 18,668 1,126 2,180
0
0 0
0 0
0
2,074 2,151
0
0 0
0 0
0 0
8,034 2,288
0
0
0
0
23,350
0 0 0
0 0
0 0
0
2,186 2,256 6,100
0 0 0
0 0
0 0
0
768 34,972 3,473
0
0
0
0
1,006
0
0
0
0
3,670
0
0
1,660
0 0
1,726 3,616
0 0
4,936 28,347
0
1,839 54,134
0 0 0 0 0 0 0
0 0
0 0 0 0
0
0
0
0 0
0 0
0 0
0
0
0
0
0
0
0
2,174
0 0
0 0
0 0
0 0
4,647 14,944
0
2,054
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
596
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Cold Spring Village Cooperstown Village Copake Town Corning Cornwall Town Cortland Cuba Town Dansville Village Delhi Village Depew Village Deposit Village Dewitt Town Dexter Village Dryden Village East Fishkill Town East Greenbush Town East Syracuse Village Ellenville Village Elmira Heights Village Evans Town Fairport Village Fishkill Town Fishkill Village Floral Park Village Fort Plain Village Franklinville Village Freeport Village Freeville Village Friendship Town Garden City Village Gates Town Germantown Town Glen Park Village Glens Falls Gloversville Goshen Village Gouverneur Village Granville Village Great Neck Estates Village Greece Town Greene Village Greenwood Lake Village Groton Village Guilderland Town Hancock Village Hastings-onHudson Village Haverstraw Town Homer Village Hoosick Falls Village Hornell Hunter Town 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0
0 0 0
0
0
0 0
0 0
0 0
0
0
0 0
0 0 0
0
0
0
0 0
0 0 0
0 0 0
0 0
0 0 0
Population2
2,008 1,911 3,331 10,428 9,763 18,382 3,364 4,574 2,745 15,473 1,605 21,606 1,119 1,821 29,535
0
0
0
0
0
0
0
0
0
0
3,914
0
0 0
0 0
0
3,931 17,000 5,467 19,088 1,731
0 0
0
0
3,029
0 0
0 0
0 0
0
15,550
0
0
2,201
0
0
1,741 43,050 505
0 0
0
17,159
0
1,865
0
0
21,804 28,396
0 0
0
0
0
2,015
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
491 14,043 15,146 5,527
0
0
0
0
0
0
0
2,585
0
0 0
0 0
2,711 93,123 1,683
0 0
0 0
0 0
3,460 2,403
0
33,006
0
1,111
0
7,858
4,088
0
0 0 0 0
0 0
0 0
0
0
0 0
0 0
0 0
24,515 3,265
0
0
0
0
0 0 0
3,289 8,662 2,756
State
Agency type
Agency name
Huntington Bay Village Hyde Park Town Independence Town Irondequoit Town Irvington Village Johnson City Village Johnstown Jordan Village Kenmore Village Kensington Village Kent Town Kings Point Village Kirkland Town Lackawanna Lake Placid Village Larchmont Village Le Roy Village Little Falls Lloyd Harbor Village Lockport Malone Village Malverne Village Mamaroneck Town Manchester Village Manlius Town Marlborough Town Maybrook Village McGraw Village Mechanicville Middleport Village Middletown Millbrook Village Moravia Village Mount Kisco Village Nassau Village New Berlin Town Newburgh Newburgh Town New Windsor Town New York Mills Village Niskayuna Town Nissequogue Village North Castle Town North Greenbush Town Northport Village North Syracuse Village
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0 0
1,472 20,675
0
0
1,052
0
50,106
0 0
0
0
0
6,658
0 0 0
0 0 0 0
0 0 0 0
14,807 8,489 1,338 15,172
0 0
0 0
0 0
0
1,181 14,443
0 0 0
0 0 0
0 0
0 0 0
5,204 8,423 17,775
0
0
0
0
2,840
0 0 0
0 0 0
0 0 0
0 0 0
6,535 4,226 4,952
0 0 0
0 0 0
0 0 0
0 0 0
3,654 20,872 5,879
0
0
0
0
8,725
0
0
0
0
11,470
0 0
0 0
0
0 0
1,434 25,127
0 0 0
0
8,351
0 0 0
0 0 0
0 0 0
0 0 0
4,185 963 4,912
0 0
0 0
0 0
0
1,803 26,097
0
0
0 0
0 0
1,559 1,313
0 0
0 0
0 0
10,505 1,115
0 0
0 0
1,717 28,340 0
0
30,995
0
0
0
0
25,320
0
0
0
0
3,128
0
0
0
21,863
0
0
0
0
1,458
0
0
0
0
12,317
0
11,837
0
0
0
0
7,480
0
0
0
0
6,668
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 597 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
North Tonawanda Northville Village Old Westbury Village Olean Olive Town Oneonta City Orchard Park Town Oriskany Village Ossining Village Oswego City Oxford Village Oyster Bay Cove Village Painted Post Village Penn Yan Village Perry Village Phelps Village Pine Plains Town Plattekill Town Pleasantville Village Port Byron Village Port Chester Village Port Dickinson Village Port Jervis Portville Village Port Washington Pound Ridge Town Pulaski Village Quogue Village Rensselaer City Riverhead Town Rockville Centre Village Rome Rosendale Town Rouses Point Village Rye Brook Village Sands Point Village Saratoga Springs Saugerties Village Schenectady Seneca Falls Village Shandaken Town Shelter Island Town Sherburne Village Shortsville Village Silver Creek Village Skaneateles Village 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
0
0
1,162
0 0 0
0 0 0 0
0 0 0
0 0 0 0
5,340 14,485 4,720 13,239
0
0
0
0
28,208
0 0 0 0
0 0
0 0
0 0 0
0
0
1,424 23,514 17,573 1,566
0
0
0
0
2,248
0
0
0
1,784
0 0 0
0 0 0
0 0 0
0 0 0
5,217 3,743 1,931
0
0 0
0 0
0
2,750 10,993
0
0
0
0
0
0
0
0
0
0
0
28,019
0 0 0
0 0 0
0 0 0
0
1,605 9,203 973
0
0 0 0
0 0
0 0 0 0 0
0 0
0 0
0
0
0
0
0
0
0 0
0
1,257
0
18,532
0 0
5,011 2,323 1,125 7,822 35,087
0 0
0
23,952 34,123
0
6,312
0
0
2,420
0
0
9,820
0
0
28,807
0 0
0 0
3,912 61,535
0
0
6,791
0
3,113
0
2,471
0 0
2,839 0
0
1,443
0
0
0
0
1,342
0
0
0
0
2,842
0
2,585
0
Agency name
Sleepy Hollow Village Solvay Village Southampton Town Southampton Village Stockport Town Tarrytown Village Tonawanda Troy Trumansburg Village Tuckahoe Village Tuxedo Park Village Ulster Town Vestal Town Wallkill Town Walton Village Wappingers Falls Village Warsaw Village Washingtonville Village Waterford Town and Village Watertown Webster Town and Village Weedsport Village Wellsville Village West Carthage Village Westhampton Beach Village West Seneca Town Whitesboro Village Whitestown Town Windham Town Woodbury Town Woodridge Village Yonkers Yorkville Village
7,167
0 0 0 0
0 0
Agency type
31,575
0
0 0
State
Metropolitan Counties
Albany Chemung Herkimer Livingston Madison Oneida Onondaga Ontario Orange Oswego Putnam Rensselaer Schenectady Schoharie Suffolk Tompkins Ulster
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0
0 0
0 0
0 0
10,262 6,514
0
0
0
0
50,284
0 0
0
0 0
0 0
4,091 2,882
0 0 0
0 0
0 0 0
0 0 0
11,525 14,971 47,776
0
0
0
0
1,587
0
0
0
6,311
0
0
0
0 0 0
0 0 0
0 0
0 0 0 0
726 12,877 27,403 27,554 2,880
0 0
0 0
0 0
0 0
5,181 3,717
0
0
0
0
6,239
0
0
0
0 0
8,660 26,726
0
0
0
0
41,471
0
0
0
0
0
0
0
0
1,950 0
0
4,877 2,126
0
0
1,956
0
0
43,955
0
3,823
0
0
0
0
9,348
0
0
0
0
1,914
0
0
0
0
0 0
0
0
0
0
0 0 0 0
0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0
10,458 0 0
1,085 198,071 2,593
0 0 0
0 0
0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
598
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Other Agencies
NORTH CAROLINA....
1Agencies
Cities
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Chenango Franklin Fulton Hamilton Montgomery Seneca Steuben
0 0 0 0 0 0 0
New York City Metropolitan Transportation Authority
0
Aberdeen Ahoskie Andrews Angier Apex Asheboro Atlantic Beach Aulander Ayden Badin Bailey Bald Head Island Banner Elk Beaufort Beech Mountain Belhaven Belmont Benson Biltmore Forest Biscoe Black Mountain Bladenboro Blowing Rock Boiling Springs Boone Brevard Bryson City Burgaw Burlington Burnsville Butner Cameron Canton Carolina Beach Carrboro Carthage Caswell Beach Chadbourn Chapel Hill Cherryville Chocowinity Claremont Clayton Cleveland Clinton Clyde Coats Conover Cornelius Cramerton Creedmoor Dallas Davidson Drexel East Spencer Eden Edenton Elizabeth City Elizabethtown Elkin
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
5,337 4,278 1,719 4,288 31,816 24,399 1,839 869 4,852 1,357 679 295 895 4,326 307 1,997 9,005 3,422 1,527 1,732 7,686 1,701 1,426 3,856 13,283 6,634 1,382 3,975 48,689 1,652 6,520 301 3,925 5,675 16,514 2,036 490 2,071 50,198 5,533 730 1,127 14,843 829 8,818 1,295 2,086 7,183 21,563 3,050 3,472 3,433 9,023 1,900 1,770 15,608 4,988 19,279 3,841 4,314
State
Agency type
Agency name
Elon Emerald Isle Enfield Erwin Farmville Fletcher Franklin Fremont Fuquay-Varina Garner Garysburg Gastonia Gibsonville Goldsboro Graham Granite Falls Hamlet Havelock Henderson Hendersonville Hertford Highlands Hillsborough Hobgood Holden Beach Holly Ridge Hope Mills Hudson Huntersville Indian Beach Jacksonville Jefferson Jonesville Kannapolis Kenly Kernersville Kill Devil Hills King Kings Mountain Kinston Kitty Hawk Knightdale La Grange Lake Lure Landis Laurel Park Laurinburg Lenoir Lillington Lincolnton Locust Long View Louisburg Lumberton Madison Maggie Valley Maiden Manteo Marion Marshall Mars Hill Marshville Matthews Maxton Mayodan Maysville McAdenville Mebane Middlesex Mocksville Monroe Mooresville Morehead City Morganton Morrisville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
7,173 3,752 2,345 4,843 4,553 4,662 3,633 1,428 14,661 24,547 1,171 70,127 4,627 38,053 14,275 4,597 5,715 21,839 16,165 11,863 2,135 948 5,380 382 863 727 12,778 3,075 41,018 96 70,368 1,368 2,296 40,554 1,894 22,325 6,718 6,639 11,003 22,568 3,391 6,530 2,782 1,022 3,074 2,123 15,743 17,988 3,214 10,646 2,562 4,904 3,813 21,983 2,283 810 3,366 1,336 5,070 837 1,821 3,054 26,693 2,666 2,624 978 643 9,555 856 4,568 31,345 21,143 9,501 17,183 14,336
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 599 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Mount Gilead Mount Holly Murfreesboro Murphy Nags Head Nashville New Bern Newland Newton North Topsail Beach Norwood Oakboro Ocean Isle Beach Old Fort Pilot Mountain Pinebluff Pinehurst Pinetops Pineville Pittsboro Plymouth Ramseur Randleman Red Springs Rich Square Roanoke Rapids Robbins Robersonville Rockingham Rockwell Rocky Mount Rolesville Rose Hill Rowland Rutherfordton Saluda Sanford Scotland Neck Selma Sharpsburg Shelby Smithfield Southern Shores Spencer Spindale Spring Hope Stallings Stanfield Stanley Star Statesville St. Pauls Sugar Mountain Sunset Beach Surf City Sylva Tarboro Taylorsville Thomasville Troutman Troy Tryon Valdese Vass Wadesboro Wake Forest Wallace Warsaw Waxhaw Waynesville Weaverville Wendell
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
1,406 9,811 2,276 1,573 3,114 4,509 28,254 663 13,211
0 0 0
0 0 0
0 0 0
0 0 0
874 2,150 1,176
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
536 963 1,276 1,352 12,132 1,293 3,826 2,537 3,930 1,728 3,700 3,518 996
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
16,407 1,238 1,601 9,093 1,989 57,132 1,805 1,403 1,157 4,090 581 28,413 2,195 6,877 2,432 21,437 12,456 2,708 3,355 3,916 1,280 4,201 1,113 3,134 814 25,756 2,053 213 2,296 1,873 2,369 10,463 1,828 26,437 1,767 3,408 1,745 4,525 778 5,134 24,348 3,603 3,149 3,505 9,436 2,543 4,867
State
Agency type
Agency name
West Jefferson Whispering Pines Whiteville Wilkesboro Williamston Wilmington Windsor Wingate Winston-Salem Woodfin Woodland Wrightsville Beach Yadkinville Youngsville Zebulon Universities and Colleges Appalachian State University Duke University East Carolina University Elizabeth City State University Elon University Methodist College North Carolina Agricultural and Technical State University North Carolina Central University North Carolina School of the Arts North Carolina State University, Raleigh University of North Carolina: Asheville Chapel Hill Charlotte Pembroke Wake Forest University Western Carolina University Winston-Salem State University Metropolitan Counties Alamance Alexander Anson Brunswick Buncombe Burke Cabarrus Davie Durham Edgecombe Franklin Gaston Gaston County Police Department Greene Haywood Henderson Madison
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0
0
0
0
1,128
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
2,138 5,239 3,193 5,531 96,913 2,175 3,876 198,316 3,335 776
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
2,573 2,898 738 4,358
0 0
0 0
0 0
0 0
15,117 13,373
0
0
0
0
24,351
0 0
0 0
0 0
0 0
2,681 5,230
0
0
0
0
2,116
0
0
0
0
11,098
0
0
0
0
8,675
0
0
0
0
845
0
0
0
0
31,130
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
3,639 27,717 21,519 5,827
0
0
0
0
6,739
0
0
0
0
8,861
0
0
0
0
5,650
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
600
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Nash Onslow Orange Pender Person Pitt Randolph Stokes Union Wayne Yadkin Nonmetropolitan Counties
Other Agencies
1Agencies
Alleghany Avery Beaufort Bertie Bladen Camden Carteret Cherokee Chowan Clay Columbus Craven Dare Duplin Gates Graham Granville Halifax Harnett Hertford Hyde Jackson Lee Lincoln Macon Martin McDowell Montgomery Moore Northampton Pamlico Pasquotank Perquimans Polk Robeson Scotland Stanly Surry Swain Tyrrell Vance Warren Watauga Wilkes Wilson Yancey Department of Human Resources Department of Wildlife Piedmont Triad International Airport State Park Rangers: Crowders Mountain Dismal Swamp Elk Knob Eno River
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
NORTH DAKOTA ........
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Goose Creek Gorges Hanging Rock Jockey’s Ridge Lake James Lake Norman Medoc Mountain Merchants Millpond Morrow Mountain Mt. Mitchell New RiverMount Jefferson Pettigrew Pilot Mountain South Mountains Stone Mountain Weymouth Woods Sandhills Nature Preserve
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
Beulah Burlington Carrington Cavalier Emerado Fessenden Grand Forks Harvey Hillsboro Lincoln Lisbon Mayville Minot Northwood Portland Rolla Rugby Steele Thompson Valley City Wahpeton Watford City West Fargo Williston
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,974 989 2,131 1,404 466 519 50,477 1,671 1,502 2,548 2,185 1,919 34,487 853 562 1,451 2,606 676 937 6,325 7,850 1,371 22,462 12,260
0
0
0
0
2,493
0
0
0
0
12,258
0
0
0
0
12,834
0 0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
Universities and Colleges North Dakota State College of Science North Dakota State University University of North Dakota Metropolitan Counties Cass Grand Forks Nonmetropolitan Counties Adams Barnes Bottineau Bowman Burke Cavalier Dickey Dunn Eddy Emmons Foster
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 601 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
OHIO ...............
Agency type
Cities
Agency name
Grant Griggs Hettinger Kidder Lamoure Logan McHenry McIntosh McKenzie McLean Mercer Nelson Oliver Pembina Pierce Renville Richland Rolette Sargent Sheridan Slope Stutsman Towner Traill Ward Wells Williams Ada Addyston Amberley Village Amelia Amsterdam Ansonia Arcanum Archbold Ashland Ashville Aurora Austintown Bainbridge Township Baltimore Barnesville Barnhill Batavia Bay View Bay Village Bazetta Township Beach City Beachwood Beaver Township Bellaire Bellbrook Bellville Berea Berlin Heights Bethel Bethesda Beverly Bexley Blanchester Blendon Township Bloomville Bratenahl Brecksville Bridgeport Brimfield Township Broadview Heights Brooklyn
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
5,881 932 3,204 3,624 551 1,099 2,002 4,530 21,939 3,285 14,512 35,888
0 0
0 0
0 0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
6,124 1,099 11,239
0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
0
0
0 0 0 0 0
6,176 4,674 6,892 1,731 18,026 645 2,608 1,365 1,310 12,161 4,382
0 0 0 0 0
0 0 0 0 0
0 0
7,561 1,000 1,287 13,065 2,079
0
0
0
0
7,854
0 0
0 0
0
0
17,798 10,574
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
11,334 2,948 4,118 379 1,691 645 14,828
State
Agency type
Agency name
Brooklyn Heights Brook Park Bryan Buchtel Buckeye Lake Butler Byesville Cadiz Cairo Camden Campbell Canal Fulton Canfield Cardington Carey Carlisle Celina Centerville Chagrin Falls Champion Township Chesapeake Cheshire Circleville Clay Center Clay Township, Ottawa County Cleves Clinton Township Coitsville Township Coldwater Columbiana Coolville Cortland Covington Craig Beach Crestline Creston Cridersville Crooksville Cross Creek Township Danville Deer Park Delaware Delhi Township Delphos Delta Dennison Deshler Dover East Canton Eastlake Eaton Edgerton Elida Elmwood Place Elyria Empire Englewood Euclid Fairfax Fairfield Fairfield Township Fairlawn Forest Forest Park Fort Loramie Fort Recovery Fort Shawnee Frazeysburg
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,474 19,498 8,327 600 3,055 896 2,571 3,379 506 2,248 8,630 5,106 7,014 2,011 3,811 5,985 10,403 23,049 3,701
0 0 0 0 0
0 0
0
0 0
0
0
0
0 0
0
2,732 2,501
0
0
0
0
3,938
0 0 0
0 0
0
0 0
0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
1,654 4,454 5,977 545 6,508 2,572 1,185 5,077 2,132 1,743 2,469
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0
9,409 884 80 13,648 309
5,618 1,081 5,432 33,177 29,808 6,794 2,936 2,896 1,854 12,533 1,611 19,590 8,213 1,997 1,889 2,343 55,697 292 12,844 48,186 1,745 42,264 17,093 7,138 1,442 17,470 1,482 1,350 3,741 1,315
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
602
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Fredericktown Gallipolis Gates Mills Geneva-onthe-Lake Genoa Georgetown German Township, Clark County German Township, Montgomery County Gibsonburg Girard Glendale Gnadenhutten Goshen Township, Clermont County Goshen Township, Mahoning County Grandview Heights Greenfield Greenhills Greenville Greenwich Grover Hill Harrison Hartville Hebron Hicksville Higginsport Highland Heights Highland Hills Hilliard Hillsboro Holland Howland Township Hudson Huron Independence Ironton Jackson Jackson Center Jackson Township, Mahoning County Jackson Township, Montgomery County Jefferson Jewett Johnstown Junction City Kent Kenton Kettering Kirkersville Kirtland Kirtland Hills Lakemore Lake Township Lancaster Lexington 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0
0 0 0
0 0 0
0 0 0
2,468 4,224 2,308
0 0 0
0 0 0
0 0 0
0 0 0
1,522 2,319 3,624
0
0
0
0
7,359
0
0 0
0 0
0 0
0 0
0 0
0 0 0 0 0
3,255 2,478 10,306 2,090 1,294
0
0
0
0
16,421
0
0
0
0
3,496
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
6,144 5,172 3,619 12,978 1,535 374 8,440 2,564 2,165 3,481 295
0 0
0 0 0
0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0
8,693 1,386 27,186 6,736 1,274
0
0
0
0 0 0 0
0 0 0 0
16,761 23,248 7,394 6,760 11,431 6,241 1,464
0 0 0
0
0
0
0
2,290
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0
3,820 3,483 788 4,037 859 27,921 8,123 54,254 542 7,400 793 2,778
0 0
0 0 0
0 0 0
0 0 0
7,362 36,735 4,189
0 0 0 0 0
State
Agency type
Agency name
Liberty Township Lithopolis Liverpool Township Lockland Logan London Lorain Lordstown Loudonville Lowellville Luckey Lynchburg Lyndhurst Madeira Madison Township, Franklin County Madison Township, Lake County Magnolia Manchester Marblehead Mariemont Marietta Marion Marion Township Marshallville Martins Ferry Massillon Maumee Mayfield Village McArthur McClure McComb McConnelsville Mechanicsburg Medina Township Mentor-onthe-Lake Miamisburg Middlefield Middletown Midvale Mifflin Milford Milton Township Mingo Junction Minster Mogadore Monroe Monroeville Montgomery Montpelier Montville Township Mount Gilead Mount Healthy Mount Orab Mount Pleasant Mount Sterling Munroe Falls Napoleon Navarre Nelsonville New Albany Newark New Boston Newcomerstown
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0
0 0
0 0
0 0
12,118 957
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
4,246 3,271 7,426 9,603 70,861 3,611 2,995 1,166 981 1,427 14,052 8,052
0
0
18,023
0 0 0
0 0 0
0 0 0
0
0 0
0 0 0
0 0 0
16,953 933 2,125 847 3,011 14,128 35,975
0 0
0 0
0 0
0
0 0
0
0
0 0
0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
3,159 2,074 736 1,653 1,726 1,716
0
0
0
0
8,683
0 0 0
0 0 0 0 0
0 0 0
0 0
0
0
0
0
0
8,316 19,925 2,437 51,244 596 145 6,323
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0
0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0
0 0
0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0
0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0
2,988 812 6,764 32,443 14,024
2,892 3,373 2,794 3,952 14,327 1,374 9,819 4,082 7,410 3,532 6,385 2,891 507 1,826 5,253 9,092 1,424 5,441 6,776 47,373 2,161 3,916
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 603 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
New Concord New Franklin New Knoxville New Lebanon New Lexington New London New Madison New Middletown New Paris New Philadelphia New Richmond New Riegel New Straitsville Newton Township Newtown North Baltimore North Canton Northfield North Olmsted North Perry North Ridgeville Northwood Oak Hill Oakwood, Montgomery County Oakwood, Paulding County Oberlin Olmsted Falls Ontario Orrville Ottawa Owensville Oxford Township Parma Heights Pataskala Paulding Payne Peebles Perkins Township Perrysburg Perrysville Perry Township, Columbiana County Perry Township, Franklin County Perry Township, Montgomery County Perry Township, Stark County Pickerington Pierce Township Plain City Plymouth Poland Township Poland Village Port Clinton Powell Powhatan Point Reading Reminderville Rio Grande Riverside 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0 0 0 0 0
0
0 0
0 0 0 0
0 0 0 0
0
0
0
0 0
0 0 0
0
0 0 0 0 0 0 0
2,671 15,087 909 4,150 4,613 2,592 766
0 0
1,587 1,524
0
17,470 2,524 216 808
0 0 0 0 0
0 0 0 0
0
0
0 0
0 0 0
0 0 0 0 0 0 0 0 0 0
Population2
0 0 0 0 0
0 0 0
4,440 3,966 3,321 16,761 3,700 31,854 965 27,959 5,482 1,642
0
0
8,532
0 0 0 0 0 0 0
561 8,247 8,376 5,301 8,451 4,438 836
0 0
0 0
0 0 0
0 0 0
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
2,525 20,108 13,002 3,390 1,149 1,865
0
0
0
12,994 16,885 822
0 0 0
0
0
0
0
0
4,685
0
0
0
0
3,595
0
0
0
0
3,801
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
28,623 17,854 11,002 3,653 1,849
0 0 0 0 0 0 0 0 0
0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
11,336 2,724 6,246 12,527 1,689 9,936 2,544 871 22,317
0 0 0 0 0
0 0
State
Agency type
Agency name
Roaming Shores Village Rockford Roseville Rossford Russellville Russia Sabina Salem Saline Township Sardinia Seaman Sebring Senecaville Seven Hills Seville Shadyside Sharon Township Sheffield Lake Shelby Shreve Silverton Smithville Solon Somerset South Bloomfield South Charleston South Russell South Solon South Vienna South Zanesville Spencer Spencerville Springboro Springfield Springfield Township, Mahoning County Springfield Township, Summit County St. Bernard St. Clairsville St. Clair Township St. Henry St. Paris Strasburg Struthers Sugarcreek Township Sugar Grove Swanton Sylvania Township Timberlake Tipp City Toronto Tremont City Twinsburg Uhrichsville Union City Uniontown Upper Arlington Upper Sandusky Vandalia Vienna Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0
0 0
0 0
0 0
0
0
0 0 0 0
0
0 0 0 0 0
0 0 0 0
0 0
0
0 0 0 0 0 0 0 0
0 0 0 0
1,217 1,111 1,918 6,349 451 627 2,855 11,915 1,373 869 1,091 4,587 449 11,875 2,464 3,517
0 0 0
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0
2,306 9,049 9,441 1,502 4,556 1,306 22,318 1,575
0
0
0
0
0
0 0
0 0
0 0 0 0
0 0 0 0
1,808 3,982 387 501
0 0 0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
2,005 825 2,180 17,684 62,426
0
0
0
0
6,116
0
0
0 0 0
0 0
15,449 4,364 5,079
1,704
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
7,805 2,382 1,984 2,704 10,987
0 0 0
0
0
0
0
0
0
6,875 439 3,712
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
26,380 738 9,376 5,321 350 17,545 5,597 1,673 2,830
0
0
0
0
31,009
0
0
0 0
0
6,375 14,171
0
0
0
0
3,935
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
604
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Village of Leesburg Wadsworth Waite Hill Walbridge Walton Hills Wapakoneta Warren Warrensville Heights Warren Township Washington Court House Washingtonville Waterville Township Wauseon Waverly Waynesburg Wayne Township Wells Township Wellston Wellsville West Alexandria West Carrollton Westfield Center West Jefferson Westlake West Liberty West Salem West Union Willard Williamsburg Willoughby Winchester Windham Wintersville Woodlawn Wyoming Universities and Colleges Bowling Green State University Capital University Central State University Cleveland State University Columbus State Community College Cuyahoga Community College Kent State University Lakeland Community College Marietta College Miami University Muskingum College 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
1,345 20,391 554 3,077 2,310 9,583 44,858
0
0
0
0
13,815
0
0
0
0
6,173
0 0
0 0
0 0
0 0
13,612 762
0 0 0 0
0 0 0 0
0 0 0
5,439 7,390 4,430 974
0
0
0 0 0
0 0
0 0 0
0 0 0
2,898 5,998 3,985
0
0
0
0
1,328
0
0
0
0 0 0 0
0 0 0 0 0
0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0
0
0
0 0 0
State
Agency type
Metropolitan Counties
5,541
12,897
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
1,160 4,254 30,920 1,735 1,480 3,145 6,757 2,352 22,319 1,097 2,711 3,860 2,492 7,485
0
0
19,108
0
0
3,817
0
0
0
0
1,766
0
0
0
0
14,807
0
0
0
0
22,745
0
0
0
24,289
0
22,697
0
0
0
0
0
8,649
0
0
0
0
1,522
0
0
0
0
16,329
0
0
0
0
2,165
Nonmetropolitan Counties
State Police Agencies
Agency name
Ohio University Sinclair Community College University of Akron Wilberforce University Wright State University Youngstown State University
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
20,610
0
0
0
0
19,103
0
0
0
0
21,882
0
0
0
0
863
0
0
0
0
16,088
0
0
0
0
13,273
Belmont Brown Carroll Clark Erie Fairfield Fulton Geauga Hamilton Jefferson Lawrence Lorain Medina Miami Morrow Pickaway Portage Richland Summit Trumbull Wood
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
Adams Ashland Auglaize Champaign Clinton Columbiana Crawford Darke Defiance Fayette Gallia Guernsey Hancock Hardin Harrison Henry Hocking Holmes Huron Logan Marion Meigs Mercer Morgan Noble Paulding Perry Pike Putnam Scioto Tuscarawas Van Wert Williams
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0
Ohio State Highway Patrol
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 605 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Other Agencies
OKLAHOMA.
Cities
Agency name
Cedar Point Columbus and Franklin County Metropolitan Park District Delaware County Preservation Parks Erie Metroparks Hamilton County Park District Lake Metroparks Lorain County Metropolitan Park District Port Columbus International Airport Sandusky County Park District Toledo Metropolitan Park District Achille Altus Alva Anadarko Antlers Apache Ardmore Arkoma Atoka Bartlesville Beaver Beggs Bethany Bixby Blackwell Blanchard Boise City Boley Bristow Broken Bow Caddo Calera Carnegie Chandler Checotah Chelsea Cherokee Choctaw Chouteau Claremore Clayton Clinton Coalgate Colbert Collinsville Comanche Cordell Coweta Crescent Davenport Davis Del City Drumright Duncan Durant
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
Population2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
530 19,284 4,747 6,519 2,481 1,583 24,663 2,205 3,044 34,902 1,378 1,374 19,456 20,303 7,134 6,351 1,284 1,086 4,402 4,217 982 1,817 1,589 2,876 3,520 2,269 1,445 11,009 2,016 17,519 722 8,395 1,836 1,115 4,559 1,525 2,910 8,847 1,356 893 2,671 21,872 2,890 22,486 15,177
State
Agency type
Agency name
Elk City Enid Eufaula Fairfax Fairview Fort Gibson Frederick Geary Glenpool Goodwell Grove Guymon Harrah Hartshorne Haskell Healdton Heavener Henryetta Hinton Hobart Holdenville Hominy Hooker Hugo Hulbert Hydro Idabel Jay Jenks Jones Kingfisher Kingston Konawa Krebs Lawton Lexington Lindsay Locust Grove Lone Grove Luther Madill Mannford Marietta Marlow Maysville McAlester McLoud Meeker Miami Minco Moore Mooreland Morris Mountain View Muldrow Muskogee Newcastle Newkirk Nichols Hills Nicoma Park Noble Nowata Oilton Oklahoma City Okmulgee Oologah Owasso Pauls Valley Pawhuska Perkins Perry Piedmont Pocola Ponca City Porum
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
11,079 46,454 2,797 1,486 2,592 4,328 4,113 1,239 9,251 1,127 6,141 10,721 5,010 2,072 1,781 2,772 3,274 6,090 2,172 3,741 5,546 3,701 1,725 5,573 530 1,034 6,906 3,020 14,906 2,674 4,515 1,561 1,417 2,137 86,864 2,071 2,918 1,589 5,239 1,098 3,735 2,787 2,568 4,564 1,304 18,414 4,250 1,000 13,622 1,805 50,548 1,229 1,323 816 3,216 40,113 6,880 2,128 3,981 2,371 5,638 4,009 1,125 542,199 12,805 1,163 25,974 6,175 3,481 2,251 5,045 5,233 4,499 24,548 735
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
606
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Prague Pryor Purcell Ringling Roland Rush Springs Sand Springs Sapulpa Sayre Seminole Shawnee Skiatook Spencer Spiro Stigler Stilwell Stratford Stringtown Sulphur Tahlequah Talihina Tecumseh Texhoma The Village Tishomingo Tonkawa Tulsa Tushka Tuttle Valliant Vian Vinita Wagoner Walters Warner Warr Acres Watonga Waukomis Waurika Waynoka Weatherford Weleetka Westville Wetumka Wewoka Wilburton Wilson Woodward Wright City Wynnewood Yale Yukon Universities and Colleges Cameron University East Central University Murray State College Northeastern Oklahoma A&M College Northeastern State University Oklahoma State University: Okmulgee Tulsa3 Rogers State University Seminole State College Southeastern Oklahoma State University 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,153 9,361 6,026 1,062 3,216 1,349 18,362 20,960 2,743 6,960 30,109 6,486 3,943 2,336 2,825 3,551 1,496 413 4,924 16,491 1,250 6,723 936 9,719 3,248 3,080 381,469 363 5,935 752 1,483 5,982 8,043 2,548 1,447 9,384 5,807 1,192 1,811 901 9,951 938 1,687 1,422 3,368 2,896 1,627 12,064 803 2,311 1,284 22,457
0
0
0
0
5,737
0
0
0
0
4,453
0
0
0
0
2,232
0
0
0
0
1,923
0
0
0
0
9,417
0 0
0 0
0 0
0 0
3,255
0
0
0
0
3,955
0
0
0
0
2,038
0
0
0
0
3,830
State
Agency type
Metropolitan Counties
Nonmetropolitan Counties
Agency name
Southwestern Oklahoma State University Tulsa Community College University of Central Oklahoma University of Oklahoma: Health Sciences Center Norman
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
5,122
0
0
0
0
16,632
0
0
0
0
15,588
0 0
0 0
0 0
0 0
3,790 25,923
Canadian Cleveland Comanche Creek Grady Le Flore Lincoln Logan McClain Oklahoma Okmulgee Osage Pawnee Rogers Tulsa Wagoner
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Adair Alfalfa Atoka Beaver Beckham Blaine Caddo Carter Cherokee Choctaw Cimarron Coal Cotton Craig Custer Delaware Dewey Ellis Garfield Garvin Grant Greer Harmon Haskell Hughes Jackson Jefferson Johnston Kay Kingfisher Kiowa Latimer Love Major Marshall Mayes McCurtain McIntosh Murray Muskogee Noble
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 607 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Nowata Okfuskee Ottawa Payne Pittsburg Pontotoc Pottawatomie Pushmataha Roger Mills Seminole Stephens Texas Tillman Washington Washita Woods Woodward Other Agencies
OREGON........
Cities
Capitol Park Police Jenks Public Schools Madill Public Schools McAlester Public Schools Norman Public Schools Putnam City Campus Amity Astoria Athena Aumsville Aurora Baker City Bandon Black Butte Brookings Burns Butte Falls Cannon Beach Carlton Central Point Clatskanie Coburg Columbia City Condon Coos Bay Coquille Cornelius Cottage Grove Creswell Culver Dallas Elgin Enterprise Estacada Eugene Fairview Florence Forest Grove Gaston Gearhart Gervais Gladstone Gold Beach Gresham Hillsboro Hines Hood River Hubbard Independence Jacksonville John Day
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
1,462 9,935 1,207 3,378 1,025 9,614 2,911 6,476 2,702 428 1,740 1,523 16,701 1,663 1,011 1,965 684 16,096 4,250 11,498 8,921 4,945 1,064 15,097 1,623 1,736 2,473 147,458 9,753 8,250 20,457 803 1,117 2,451 12,256 1,909 98,089 90,439 1,464 6,778 2,624 9,211 2,190 1,555
Metropolitan Counties
Nonmetropolitan Counties
Agency name
Junction City King City Klamath Falls Lake Oswego Lakeview Lebanon Madras Malin Manzanita McMinnville MiltonFreewater Milwaukie Molalla Monmouth Mount Angel Myrtle Creek Myrtle Point North Bend North Plains Nyssa Oakridge Ontario Oregon City Pendleton Philomath Phoenix Pilot Rock Powers Prairie City Prineville Rainier Reedsport Rockaway Beach Sandy Scappoose Shady Cove Sherwood Stanfield St. Helens Sunriver Sutherlin Sweet Home Talent The Dalles Toledo Troutdale Tualatin Turner Umatilla Veneta Vernonia Warrenton West Linn Weston Wilsonville Winston Yamhill
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
5,378 2,257 19,817 36,917 2,412 14,620 5,301 634 640 30,980
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,392 21,060 7,210 9,751 3,429 3,555 2,509 9,892 1,833 3,039 3,127 11,100 31,284 16,620 4,206 4,416 1,511 755 936 9,583 1,852 4,352
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,346 8,770 6,222 2,293 17,957 1,964 12,708
Columbia Multnomah Polk Washington
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
Baker Clatsop Coos Crook Curry Gilliam Grant Harney
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
7,396 8,659 6,150 11,900 3,398 15,212 26,712 1,689 5,397 3,927 2,319 4,438 25,636 708 16,916 4,803 850
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
608
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Hood River Jefferson Josephine Klamath Lake Linn Malheur Morrow Sherman Union Wallowa Wasco Wheeler State Police Agencies
Other Agencies
1Agencies
Oregon State Police, Headquarters State Police: Baker County Benton County Clackamas County Clatsop County Columbia County Coos County Crook County Curry County Deschutes County Douglas County Gilliam County Grant County Harney County Hood River County Jackson County Jefferson County Josephine County Klamath County Lake County Lane County Lincoln County Linn County Malheur County Marion County Morrow County Multnomah County Polk County Sherman County Tillamook County Umatilla County Union County Wallowa County Wasco County Wheeler County Yamhill County Liquor Commission: Baker County Benton County Clatsop County Columbia County Coos County
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
Other Agencies– Tribal PENNSYLVANIA.............
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Crook County Curry County Douglas County Gilliam County Grant County Harney County Hood River County Jackson County Jefferson County Josephine County Klamath County Lake County Lane County Lincoln County Linn County Malheur County Marion County Morrow County Multnomah County Polk County Sherman County Tillamook County Umatilla County Union County Wallowa County Wasco County Washington County Wheeler County Yamhill County Port of Portland
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
Umatilla Tribal
0
0
0
0
Adamstown Adams Township, Butler County Adams Township, Cambria County Akron Albion Alburtis Aldan Aliquippa Allegheny Township, Blair County Allegheny Township, Westmoreland County Allentown Altoona Ambler Amity Township Annville Township Archbald Arnold Ashland Ashley Ashville Aspinwall
0
0
0
0
1,329
0
0
0
0
8,963
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0
0 0
6,113 4,013 1,540 2,393 4,277 10,854
0
0
0
0
6,907
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
8,177 107,397 46,609 6,248 11,838
0
0 0 0 0 0
0 0 0 0 0 0 0
4,717 6,422 5,301 3,121 2,691 262 2,720
0 0 0 0 0 0
0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 609 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Aston Township Atglen Athens Athens Township Auburn Avalon Avondale Avonmore Boro Baldwin Borough Baldwin Township Bally Bangor Barrett Township Beaver Beaver Falls Bedford Bedminster Township Bell Acres Bellefonte Bellevue Bellwood Benton Area Berks-Lehigh Regional Berlin Bern Township Bernville Berwick Bessemer Bethel Park Bethel Township, Armstrong County Bethel Township, Berks County Bethel Township, Delaware County Bethlehem Bethlehem Township Biglerville Birdsboro Birmingham Township Blacklick Township Blairsville Blair Township Blakely Blawnox Bloomsburg Town Blythe Township Bolivar Boyertown Brackenridge Braddock Hills Bradford Bradford Township Brandywine Regional 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0
0 0 0
0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
Population2
0 0 0
16,853 1,378 3,272
0
0
5,100 805 4,837 1,091
0
0
775
0
0
0
18,440
0 0 0
0 0 0
0 0 0
0 0 0
2,048 1,112 5,282
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
4,387 4,447 9,189 3,011
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0
5,681 1,383 6,096 8,023 1,890 1,988
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
28,142 2,105 7,165 887 10,246 1,106 31,669
1,214
4,543
0 0
0 0
0 0
0 0
10,683 72,908
0 0 0
0 0 0
0 0 0
0 0
23,960 1,167 5,224
0
0
0
0
4,273
0 0
0 0
0
0 0
2,096 3,421
0 0
0 0 0
0 0
0 0
4,739 6,782 1,446
0
0
0
0
12,959
0 0 0 0
0 0
0
0
0
0
890 472 3,961 3,239
0 0
0 0
0 0
0 0
1,836 8,501
0
0
0
0
4,763
0
0
0
0
10,045
State
Agency type
Agency name
Brecknock Township, Berks County Brentwood Briar Creek Township Bridgeport Bridgeville Bridgewater Brighton Township Bristol Bristol Township Brockway Brookhaven Brookville Brownsville Bryn Athyn Buckingham Township Buffalo Township Burgettstown Bushkill Township Butler Butler Township, Butler County Butler Township, Luzerne County Butler Township, Schuylkill County California Caln Township Cambria Township Cambridge Springs Canonsburg Carbondale Carmichaels Carnegie Carrolltown Carroll Township, Washington County Carroll Township, York County Carroll Valley Castle Shannon Catasauqua Catawissa Cecil Township Center Township Centerville Central Berks Regional Chalfont Chambersburg Charleroi Chartiers Township Cheltenham Township Chester Chester Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0
0 0
0 0
0 0
4,935 9,574
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
3,062 4,404 4,898 891
0 0
0 0
0
0 0
7,996 9,747
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
54,096 2,080 7,805 4,037 2,653 1,330
0
0
0
0
19,293
0 0
0
0
0
7,318 1,497
0 0
0 0
0
0 0
8,136 14,258
0
0
0
0
16,894
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
5,751 6,065 12,283
0
0
0
0
6,199
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0 0
0 0
2,260 8,856 9,256 510 8,001 977
0 0 0 0
9,116
0
0
5,524
0
0
0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0
5,383 3,574 8,099 6,562 1,544 10,456
0 0
0 0
0 0
0 0
11,804 3,242
0 0 0 0
0 0 0 0
0 0 0
0 0 0
7,489 4,243 17,958 5,781
0
0
0
0
7,239
0 0
0 0
0 0
0
36,403 36,799
0
0
0
0
4,594
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
610
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Cheswick Chippewa Township Christiana Churchill Clairton Clarion Claysville Clay Township Clearfield Cleona Clifton Heights Coal Township Coatesville Cochranton Colebrookdale District Collegeville Collier Township Collingdale Colonial Regional Columbia Colwyn Conemaugh Township, Cambria County Conemaugh Township, Somerset County Conewago Township, Adams County Conewango Township Conneaut Lake Regional Connellsville Conoy Township Conshohocken Conyngham Coopersburg Coplay Coraopolis Cornwall Corry Covington Township Crafton Cranberry Township Crescent Township Cresson Cresson Township Croyle Township Cumberland Township, Adams County Cumberland Township, Greene County Cumru Township Curwensville Dale Dallas Dallas Township Danville 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0
Population2
0
0
1,751
0 0 0
0 0
0 0 0
0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
9,815 1,083 3,267 7,894 5,141 682 5,766 6,240 2,104 6,586 10,277 11,744 1,079
0 0
6,462 5,011
0 0 0 0 0 0 0
0 0
0 0
0
0 0
0 0
0 0
0 0
6,235 8,440
0 0 0
0 0 0
0 0 0
0 0 0
19,420 10,034 2,375
0
0
0
2,507
0
0
0
7,310
0
0
0
0
6,184
0
0
0
0
3,647
0 0
0 0
0 0
0 0
3,539 8,526
0 0 0 0 0 0 0 0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
3,288 8,629 1,844 2,573 3,381 5,610 3,460 6,451
0 0
0 0
0 0
0 0
2,154 6,138
0
0
0
0
28,084
0
0 0
0
0
0
0
4,239
0
0
0
0
2,262
0
0
0
6,377
2,823 1,507
0
0
0
0
6,492
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
17,595 2,505 1,384 2,493 8,424 4,530
State
Agency type
Agency name
Darby Darby Township Darlington Township Decatur Township Delaware Water Gap Delmont Denver Derry Derry Township, Dauphin County Dickson City Donegal Township Donora Dormont Douglass Township, Berks County Douglass Township, Montgomery County Downingtown Doylestown Doylestown Township Dublin Borough Du Bois Duboistown Dunbar Duncannon Duncansville Dunmore Dupont Duquesne Earl Township East Bangor East Berlin East Brady East Buffalo Township East Conemaugh East Coventry Township East Deer Township East Earl Township Eastern Adams Regional East Fallowfield Township East Franklin Township East Lampeter Township East Lansdowne East McKeesport East Norriton Township East Norwegian Township Easton East Pennsboro Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0
0 0
0 0
0 0
9,967 9,615
0
0
0
0
2,040
0
0
0
0
3,089
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
831 2,473 3,700 2,822
0 0
0 0
0 0
0 0
21,923 5,916
0 0 0
0 0 0
0 0 0
0 0 0
2,574 5,317 8,467
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
10,323 7,924 8,208
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0
0 0 0 0
0
0
18,847 2,182 7,757 1,168 1,157 1,503 1,181 13,884 2,601 6,705 6,918 1,041 1,451 998
0
0
0
0
5,939
0
0
0
0
1,186
0
0
0
0
6,236
0
0
0
0
0
0
0
0
0
9,083
0
0
0
0
7,343
0
0
0
3,981
0
0
0
0
14,910
0
0
0
0
2,495
0
0
0
0
2,816
0
0
0
0
13,485
0 0
0 0
0 0
0 0
797 26,207
0
0
0
0
19,894
3,545
0
1,338 6,311
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 611 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
East Penn Township East Petersburg East Pikeland Township East Rochester East Taylor Township Easttown Township East Vincent Township East Washington East Whiteland Township Ebensburg Economy Eddystone Edgewood Edgeworth Edinboro Edwardsville Elizabethtown Elizabeth Township Elkland Ellwood City Emmaus Emporium Emsworth Ephrata Ephrata Township Erie Etna Everett Exeter Exeter Township, Berks County Exeter Township, Luzerne County Fairfield Fairview Township, Luzerne County Fairview Township, York County Fallowfield Township Falls Township, Bucks County Fawn Township Ferguson Township Ferndale Findlay Township Fleetwood Folcroft Ford City Forest City Forest Hills Forks Township Forty Fort Foster Township Fountain Hill Fox Chapel Frackville Franconia Township Franklin Franklin Park 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0
0 0
0 0
0
2,716 4,327
0 0
0 0
0 0
0 0
6,849 573
0
0
0
2,571
0
0
0
0
10,503
0 0
0 0
0 0
0 0
6,589 1,877
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
10,632 2,880 9,192 2,361 3,018 1,582 6,646 4,688 11,900
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0 0 0
0
0
0
12,837 1,685 8,064 11,414 2,270 2,383 13,067
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
9,557 101,812 3,578 1,869 5,995
0
0
0 0
0
0
0
27,080
0
2,557 518
0
0
0
0
4,321
0
0
0
0
16,630
0
0
0
0
4,242
0 0
0 0
0 0
0 0
34,033 2,324
0 0
0 0
0 0
0 0
16,302 1,685
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0
5,053 4,029 6,878 3,190 1,765 6,271 14,452 4,273 4,304 4,602 5,144 4,115
0 0 0
0 0 0
0 0 0
0 0
12,623 6,758 11,908
0 0 0 0
State
Agency type
Agency name
Franklin Township, Beaver County Franklin Township, Carbon County Freedom Freeland Freemansburg Freeport Gaines Township Galeton Gallitzin Gettysburg Gilberton Girard Glenolden Granville Township Greencastle Greenfield Township, Blair County Greensburg Green Tree Greenville Greenwood Township Grove City Halifax Regional Hamburg Hamiltonban Township Hampden Township Hampton Township Hanover Hanover Township, Luzerne County Hanover Township, Washington County Harleton Harmar Township Harmony Township Harrison Township Harveys Lake Hastings Hatboro Haverford Township Hazleton Heidelberg Heidelberg Township, Berks County Heidelberg Township, Lebanon County Hellam Township Hellertown Hemlock Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
4,330
0 0 0 0 0
0 0 0 0 0
0 0
0
0 0
0 0
0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0
0 0
569 1,263 1,908 8,194 828 2,991 7,261
0 0
0 0
0 0
0 0
4,915 4,036
0 0 0 0
0 0 0 0
0 0 0
0 0 0 0
3,779 15,567 4,353 6,263
0 0
0 0
0 0
0
2,046 7,644
0 0
0 0
0 0
0 0
4,168 4,209
0
0
0
2,739
0
0
0
0
26,612
0 0
0 0
0 0
0 0
17,139 15,079
0
0
0
0
11,060
0 0
0 0
0 0
0 0
2,752 265
0
0
0
0
3,018
0
0
0
0
3,111
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
10,016 2,903 1,312 7,177
0 0 0
0 0 0
0 0 0
0
48,434 21,868 1,149
0
0
0
0
0
0
0
4,113
0 0
0 0
0
0
9,139 5,620
0
0
0
0
2,214
4,873 1,624 3,411 2,007 1,818
1,774
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
612
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Hempfield Township, Mercer County Hermitage Hickory Township Highland Township Highspire Hilltown Township Hollidaysburg Homestead Honesdale Honey Brook Township Hooversville Horsham Township Hughesville Hummelstown Huntingdon Independence Township, Beaver County Indiana Indiana Township Industry Ingram Irwin Ivyland Jackson Township, Butler County Jackson Township, Cambria County Jackson Township, Luzerne County Jeannette Jefferson Hills Borough Jenkins Township Jenkintown Jermyn Jersey Shore Jim Thorpe Johnsonburg Juniata Valley Regional Kane Kennedy Township Kennett Square Kidder Township Kingston Kingston Township Kiskiminetas Township Kline Township Knox Koppel Kulpmont Kutztown Laceyville Laflin Borough Lake City Lamar Township 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0
0 0
0 0
0
Population2
0
3,903 16,576
0
2,294
0 0
0 0
0 0
0 0
1,210 2,585
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
13,175 5,563 3,476 4,795
0 0
0
0
0
7,140 718
0 0
0 0 0 0
0 0 0 0
0 0 0 0
24,947 2,067 4,386 6,815
0
0 0
0 0
0 0
0 0
2,736 14,792
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
6,947 1,821 3,389 4,116 882
0
0
0
0
0
0
0 0
0 0
0 0
0
0
0 0 0 0 0 0
0
0
3,841
4,783
0 0
4,597 10,021
0
9,614
0
0
0 0 0 0
0 0 0 0
0 0 0 0
4,951 4,332 2,230 4,360 4,898 2,747
0 0
0 0
0 0
0
426 3,828
0 0
0 0
0 0
0 0
9,313 5,294
0 0
0 0
0 0
0
1,386 13,036
0
0
0
0
7,069
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0
4,801 1,491 1,110 788 2,771 5,075 373 1,503 2,985 2,433
0 0 0 0 0
0 0 0
State
Agency type
Agency name
Lancaster Township, Butler County Lancaster Township, Lancaster County Lansdale Lansdowne Lansford Larksville Latimore-York Springs Regional Latrobe Lawrence Park Township Lawrence Township, Clearfield County Lawrence Township, Tioga County Lebanon Leetsdale Leet Township Lehighton Lehigh Township, Northampton County Lehman Township Lewisburg Liberty Liberty Township, Bedford County Ligonier Ligonier Township Limerick Township Lincoln Linesville Lititz Littlestown Lock Haven Locust Township Logan Township Loretto Lower Allen Township Lower Burrell Lower Frederick Township Lower Gwynedd Township Lower Heidelberg Township Lower Makefield Township Lower Merion Township Lower Milford Township Lower Moreland Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
2,574
0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
14,347 15,669 10,720 4,180 4,474
0 0
0
0
0
3,522 8,504
0
0
0
0
3,778
0
0
0
0
7,613
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1,712 24,144 1,122 1,510 5,489
0
0
0
0
10,831
0 0 0
0 0 0
0 0 0
0 0 0
3,308 5,572 2,447
0 0
0 0
0 0
0 0
1,449 1,633
0
0
6,784
0 0 0 0 0
17,087 1,125 1,110 9,029 4,187 8,584
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
2,518 11,887 1,270
0 0
0 0
0 0
0
17,701 12,315
0
0
0
0
4,858
0
0
0
0
11,368
0
0
0
0
5,282
0
0
0
0
32,550
0
0
0
0
57,691
0
0
0
0
3,919
0
0
0
0
11,894
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 613 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Lower Paxton Township Lower Pottsgrove Township Lower Providence Township Lower Salford Township Lower Saucon Township Lower Southampton Township Lower Swatara Township Lower Windsor Township Luzerne Township Lykens Macungie Madison Township Mahanoy City Mahanoy Township Mahoning Township, Carbon County Mahoning Township, Montour County Main Township Malvern Manheim Manheim Township Manor Manor Township, Armstrong County Manor Township, Lancaster County Mansfield Marietta Marion Center Marion Township, Berks County Marlborough Township Marple Township Martinsburg Marysville Masontown Matamoras Mayfield McCandless McDonald Borough McKeesport McKees Rocks McSherrystown Meadville Mechanicsburg Media Mercer Mercersburg 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
44,961
0
0
0
0
12,240
0
0
0
0
26,047
0
0
0
0
14,419
0
0
0
11,360
0
0
0
0
19,189
0
0
0
0
8,364
0
0
0
0
7,847
0 0 0
0
0
0
0
6,739 1,834 3,132
0 0
0 0
0 0
0 0
1,607 4,361
0
0
0
0
3,592
0
0
0
0
4,336
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
4,262 1,305 3,115 4,626
0
0 0
0 0
0 0
36,069 2,867
0
0
0
0
3,968
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
18,683 3,245 2,587 422
0
0
0
0
1,659
0
0
0
3,280
0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0
23,579 2,139 2,454 3,424 2,669 1,702 27,339
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0
2,135 22,190 6,042 2,841 13,385 8,771 5,445 2,253 1,556
State
Agency type
Agency name
Meyersdale Middleburg Middlesex Township, Butler County Middlesex Township, Cumberland County Middletown Middletown Township Midland Midway Mifflin Mifflinburg Mifflin County Regional Mifflin Township Milford Millbourne Millcreek Township, Erie County Millcreek Township, Lebanon County Millersburg Millersville Mill Hall Millvale Millville Milton Minersville Mohnton Monaca Monessen Monongahela Monroeville Montgomery Township Montoursville Montrose Moon Township Moore Township Morris-Cooper Regional Morrisville Morton Moscow Mount Carmel Mount Carmel Township Mount Gretna Borough Mount Jewett Mount Joy Mount Lebanon Mount Oliver Mount Union Muhlenberg Township Muncy Munhall Murrysville Nanticoke Narberth Nazareth Area Nelson Township Neshannock Township
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0
0 0
0 0
0 0
2,302 1,345
0
0
0
0
5,564
0 0
0 0
0 0
0
6,868 8,806
0 0 0 0 0
0 0
0 0
0 0
0 0
0 0
0
47,710 2,898 934 622 3,564
0
0
0
0
26,255
0 0 0
0 0 0
0 0 0
0 0
2,266 2,945 911
0
0
0
52,592
0 0 0
0 0
0 0 0 0 0 0 0 0 0
3,147 2,454 7,204 1,468 3,675 950 6,377 4,264 3,111 5,833 8,159 4,468 27,659
0 0 0
0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
24,419 4,630 1,570 22,623
0
0
0
0
9,502
0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
5,725 9,706 2,649 1,953 5,914
0
0
0
0
2,586
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
234 1,015 7,097 30,543 3,681 2,356
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
18,334 2,486 11,239 19,565 10,261 4,079 6,061
0 0
576 0
0
0
9,369
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
614
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Nether Providence Township Neville Township New Berlin Newberry Township New Bethlehem New Brighton New Britain New Britain Township New Castle New Castle Township New Cumberland New Florence New Garden Township New Hanover Township New Holland New Hope New Kensington Newport New Sewickley Township Newton Township Newtown Newtown Township, Bucks County Newtown Township, Delaware County Newville New Wilmington Norristown Northampton Northampton Township North Beaver North Belle Vernon North Buffalo North Catasauqua North Charleroi North Cornwall Township North Coventry Township North East, Erie County Northeastern Regional Northern Berks Regional Northern Cambria Borough Northern Regional North Fayette Township North Franklin Township 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
13,257
0 0
0
1,131 822
0 0 0 0
0 0 0 0
0 0
0 0
0
0
0
0
0 0
0 0
0
0
0
0
0
11,699
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
9,267 5,152 2,296 13,833 1,465
0
0
0
0
7,722
0 0
0 0
0 0
0 0
2,763 2,247
0
0
0 0 0
0 0 0
15,563 998 9,493 2,292
0 0
10,795 24,514
0
392 7,084 735
0
19,234
0 0
0 0
0 0
0 0
11,894 1,313
0 0 0
0 0 0
0 0
0 0
2,396 30,205 9,818
0 0
0 0
0
0
41,293 4,025
0 0
0 0
0 0
0
1,987 2,818
0
0
0
0
2,861
0
0
0
0
1,327
0
0
0
0
6,526
0
0
0
0
7,698
0
0
0
0
4,268
0
0
0
0
11,000
0
0
12,351
0
0
0
0
3,970
0
0
0
0
27,442
0
0
0
0
12,998
0
0
0
0
4,681
State
Agency type
Agency name
North Huntingdon Township North Lebanon Township North Londonderry Township North Middleton Township North Sewickley Township North Strabane Township Northumberland North Union Township North Versailles Township North Wales Northwest Lancaster County Regional Northwest Lawrence County Regional Norwegian Township Norwood Oakdale Oakmont O’Hara Township Ohio Township Ohioville Oil City Old Forge Old Lycoming Township Oley Township Oliver Township Olyphant Orangeville Area Orwigsburg Osceola Mills Overfield Township Oxford Paint Township Palmerton Palmer Township Palmyra Parkesburg Parkside Parks Township Patterson Area Patton Patton Township Paxtang Pen Argyl Penbrook Penn Hills Pennridge Regional Penn Township, Butler County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
29,478
0
0
0
0
10,896
0
0
0
0
6,939
0
0
0
0
10,946
0
0
0
0
5,729
0 0
0 0
0 0
0 0
12,176 3,517
0
0
0
0
1,248
0 0
0
0 0
0 0
12,280 3,248
0
0
0
0
18,083
0
0
0
0
6,759
0 0 0 0
0 0 0 0
0 0 0 0
0 0
2,148 5,813 1,441 6,451
0 0 0 0 0
0
0
0
0 0 0
0 0 0
0 0 0
9,537 4,041 3,654 10,762 8,540
0 0 0
0 0 0
0 0 0
0 0 0
5,317 3,672 2,068 4,899
0 0
0 0 0
0 0 0
0 0 0
1,651 2,969 1,170
0 0
0
0
0
1,559 4,738
0 0
0 0
0 0
0 0
3,210 5,261
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
19,673 6,944 3,455 2,195
0 0 0
0 0
0 0
0 0
2,609 3,617 1,883
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0
12,839 1,480 3,667 2,891 43,955
0
0
0
0
10,414
0
0
0
0
5,246
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 615 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Penn Township, Lancaster County Penn Township, Perry County Penn Township, Westmoreland County Penn Township, York County Pequea Township Perkasie Perryopolis Peters Township Phoenixville Pittston Plainfield Township Plains Township Pleasant Hills Plum Plumstead Township Plymouth Township, Montgomery County Pocono Mountain Regional Pocono Township Point Township Polk Portage Port Allegany Port Vue Pottstown Pottsville Prospect Park Punxsutawney Pymatuning Township Quakertown Quarryville Raccoon Township Radnor Township Ralpho Township Rankin Reading Redstone Township Reynoldsville Rice Township Richland Township, Bucks County Richland Township, Cambria County Ridgway Ridley Park Ridley Township Riverside Roaring Brook Township Roaring Spring Robesonia Robeson Township 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
8,201
0
0
0
0
3,222
0
0
0
0
20,476
0
0
0
0
16,010
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
4,492 8,709 1,735 20,264 15,962 7,600
0 0 0 0
0 0 0 0
0 0 0
0 0 0
6,142 10,403 7,767 26,209
0
0
0
0
11,978
0
0
0
0
16,260
0
0
0
35,733 11,468 3,827 1,000 2,631 2,228 3,865 21,346 14,523 6,402 6,046
0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0 0 0 0 0 0
0 0
0 0
0 0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0 0
0 0 0
0 0
0 0
3,909 2,116 81,168
0 0 0
0 0 0
0 0 0
0 0
6,106 2,582 2,826
0
0
0
0
13,027
0 0 0
0 0 0
0 0 0
0 0 0
12,623 4,194 7,029
0 0
0 0
0
0
30,055 1,795
0 0 0
0 0 0
0 0 0
0 0
1,759 2,280 2,074
0
0
0
0
3,644 8,745 2,150
0
3,277 31,098
7,619
State
Agency type
Agency name
Robinson Township, Allegheny County Robinson Township, Washington County Rochester Rochester Township Rockledge Roseto Rosslyn Farms Ross Township Rostraver Township Royersford Rush Township Ryan Township Rye Township Sadsbury Township, Chester County Salem Township, Luzerne County Salisbury Township Sandy Lake Sandy Township Saxonburg Saxton Sayre Schuylkill Haven Schuylkill Township, Chester County Schuylkill Township, Schuylkill County Scottdale Scott Township, Allegheny County Scott Township, Columbia County Scott Township, Lackawanna County Scranton Selinsgrove Seven Springs Seward Sewickley Sewickley Heights Shaler Township Shamokin Shamokin Dam Sharon Sharon Hill Sharpsburg Sharpsville Shenandoah Shenango Township, Lawrence County Shillington Shippensburg Shippingport
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
13,585
0 0
0 0
0 0
0
2,159 3,717
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
2,917 2,497 1,655 425 30,522
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
11,749 4,316 3,567 2,560 2,511
0
0
0
0
3,439
0
0
0
0
4,133
0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
14,006 708 11,602 1,635 761 5,554
0
0
0
0
5,198
0
0
7,811
0
0
0 0
0 0
1,101 4,488
0
0
0
0
15,908
0
0
0
0
4,976
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
4,932 72,444 5,339 119 458 3,584
0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
919 28,042 7,396 1,451 15,150 5,326 3,281 4,186 5,199
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
7,680 5,047 5,604 223
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
616
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Shiremanstown Shohola Township Silver Lake Township Silver Spring Township Sinking Spring Slippery Rock Smethport Smith Township Solebury Township Somerset Souderton South Abington Township South Beaver Township South Buffalo Township South Centre Township South Coatesville Southern Regional Lancaster County Southern Regional York County South Fayette Township South Fork South Greensburg South Heidelberg Township South Heights South Lebanon Township South Londonderry Township South Park Township South Pymatuning Township South Strabane Township South Waverly Southwestern Regional Southwest Greensburg Southwest Mercer County Regional Southwest Regional South Whitehall Township South Williamsport Spring City Springdale Township Springettsbury Township 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
1,471
0
0
0
0
2,479
0
0
0
1,772
0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0
13,052 3,641 3,248 1,593 4,508
0 0 0
0 0 0
0 0 0
0 0 0
9,007 6,428 6,623
0
0
0
0
9,646
0
0
0
0
2,875
0
0
0
0
2,811
0
0
0
0
1,917
0
0
0
0
1,075
0
0
0
0
3,825
0
0
0
0
9,873
0 0
0 0
0
0 0
13,174 1,046
0
0
0
2,226
0 0
0 0
0 0
7,146 501
0 0
0
0
0
0
8,622
0
0
0
0
7,124
0
0
0
0
13,953
0
0
0
0
2,841
0 0
0 0
0 0
0 0
8,762 980
0
0
0
0
17,840
0
0
0
0
2,241
0
0
0
0
0
0
0
2,180
0
0
0
0
19,486
0 0
0 0
0 0
0 0
6,064 3,410
0
0
0
0
1,655
0
0
0
0
24,663
11,421
State
Agency type
Agency name
Springfield Township, Bucks County Springfield Township, Delaware County Springfield Township, Montgomery County Spring Garden Township Spring Township, Centre County Spring Township, Snyder County State College St. Clair Boro St. Clair Township Steelton Stewartstown St. Marys City Stockertown Stoneboro Stonycreek Township Stowe Township Strasburg Stroud Area Regional Sugarcreek Sugarloaf Township, Luzerne County Summerhill Township Summit Hill Summit Township Sunbury Susquehanna Regional Susquehanna Township, Cambria County Susquehanna Township, Dauphin County Swarthmore Sweden Township Swissvale Swoyersville Tamaqua Tarentum Tatamy Telford Throop Tidioute Tilden Township Tinicum Township, Bucks County Tinicum Township, Delaware County Titusville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
5,099
0
0
0
0
22,935
0
0
0
0
19,003
0
0
0
0
11,876
0
0
0
0
6,720
0 0 0
0 0 0
0 0 0
0
1,563 52,047 3,052
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0
2,959 6,110 2,734
0 0
0 0
0 0
0 0
35,211 5,033
0
0
0
0
3,975
0 0
0
0
0
2,618 2,996
0 0
0 0
0 0
0 0
2,278 9,855
0
0
0
0
6,533
0 0 0 0 0 0 0
0
1,362 5,576 2,047 13,614 773 1,038
2,077
0 0
0 0
0 0
0 0
22,905 6,148
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
741 8,811 7,649 6,633 4,558 1,106 4,629 3,996 732
0
0
0
3,825
0
0
0
0
4,265
0 0
0 0
0 0
0 0
4,226 5,759
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 617 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Towamencin Township Towanda Trainer Tredyffrin Township Troy Tullytown Tulpehocken Township Tunkhannock Tunkhannock Township, Wyoming County Turtle Creek Ulster Township Union City Uniontown Union Township, Lawrence County Union Township, Schuylkill County Upland Upper Allen Township Upper Burrell Township Upper Chichester Township Upper Darby Township Upper Dublin Township Upper Gwynedd Township Upper Leacock Township Upper Makefield Township Upper Merion Township Upper Moreland Township Upper Nazareth Township Upper Perkiomen Upper Pottsgrove Township Upper Providence Township, Delaware County Upper Providence Township, Montgomery County Upper Saucon Township Upper Southampton Township
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0
0 0 0
0 0 0
0 0
17,812 2,885 1,847
0 0 0
0 0 0
0 0 0
0 0 0
29,002 1,479 1,981
0 0
0 0
0 0
0 0
3,588 1,801
0 0 0 0 0
0
0 0 0
0 0 0
0 0 0
0
0
0
0
4,332 5,569 1,299 3,348 11,774
5,102
0 0
0 0
0
0
1,338 2,965
0
0
0
0
17,802
0
0
2,166
0
0
0
0
17,623
0
0
0
0
79,020
0
0
0
0
26,138
0
0
0
0
15,870
0
0
0
0
8,449
0
0
0
0
8,668
0
0
0
0
26,680
0
0
0
0
24,398
0
0
0
0
5,669
0
0
0
0
6,464
0
0
0
0
0
0
0
0
5,161
11,232
0
0
0
0
19,373
0
0
0
0
14,725
0
0
0
0
15,404
State
Agency type
Agency name
Upper St. Clair Township Upper Uwchlan Township Upper Yoder Township Uwchlan Township Valley Township Vandergrift Vandling Vernon Township Verona Walnutport Warminster Township Warren Warrington Township Warwick Township, Bucks County Warwick Township, Lancaster County Washington, Washington County Washington Township, Fayette County Washington Township, Franklin County Washington Township, Northampton County Washington Township, Westmoreland County Watsontown Waynesburg Weatherly Wellsboro Wernersville Wesleyville West Alexander West Brandywine Township West Brownsville West Caln Township West Chester West Cocalico Township West Conshohocken West Cornwall Township West Deer Township West Earl Township West Fallowfield Township Westfall Township Westfield
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
18,927
0
0
0
0
10,022
0
0
0
0
5,580
0 0 0 0
0 0 0 0
0 0
0 0 0
0
18,689 6,445 5,088 705
0 0 0
0 0 0
0 0 0
0 0 0
5,398 2,857 2,170
0 0
0 0
0 0
0 0
33,777 9,519
0
0
0
0
23,208
0
0
0
0
15,086
0
0
0
0
17,362
0
0
0
0
14,710
0
0
0
0
4,186
0
0
0
0
11,942
0
0
0
0
4,898
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
7,476 2,100 4,169 2,608 3,293 2,504 3,386 304
0
0
0
0
7,756
0
1,032
0 0
0 0
0 0
0 0
8,237 18,276
0
0
0
0
7,150
0
0
0
0
0
0
0
1,983
0
0
0
0
12,002
0
0
0
0
7,465
1,505
0 0 0
2,615 0 0
0
0
2,933 1,135
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
618
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
West Goshen Township West Grove Borough West Hazleton West Hempfield Township West Hills Regional West Homestead West Kittanning West Lampeter Township West Lebanon Township West Manchester Township West Manheim Township West Mayfield Borough West Mead Township West Norriton Township West Nottingham Township West Penn Township West Pikeland Township West Pike Run West Pittston West Pottsgrove Township West Reading West Sadsbury Township West Salem Township West Shore Regional West View West Vincent Township West Whiteland Township West Wyoming West York Whitaker Borough Whitehall Whitehall Township White Haven Borough Whitemarsh Township White Township Whitpain Township Wiconisco Township Wilkes-Barre Wilkes-Barre Township Wilkinsburg Wilkins Township Williamsburg 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0
0
0
0
0
Population2
0
21,255
0
2,712 3,334
0
0
0
0
16,026
0
0
0
0
10,863
0
0
0
0
2,008
0
0
0
0
0
0
0
15,539
0
0
0
0
840
0
0
0
0
18,181
0
0
0
0
7,178
0
0
0
0
0
0
5,119
0
0
0
0
14,642
0
0
0
0
2,799
0
0
0
4,233
0 0
0 0
0 0 0
4,113 1,848 4,883
1,739
1,098
0 0
0 0
0 0
0 0
0
3,801 4,086
0
0
0
0
2,512
0
0
0
0
3,389
0 0
0 0
0 0
0 0
6,619 6,704
0
0
0
0
4,180
0 0 0
0 0 0
0 0 0
0 0 0
18,480 2,698 4,219
0 0
0 0
0
0 0
1,224 13,439
0
0
0
0
26,917
0
0
0
0 0
0 0
0 0
0
0
0
0
0
18,799
0 0
0 0
0 0
0 0
1,102 41,050
0 0
0 0 0 0
0 0 0 0
0 0 0 0
3,060 17,583 6,453 1,260
0
1,153 17,422 1,334
State
Agency type
Agency name
Williamsport Willistown Township Windber Wind Gap Womelsdorf Woodward Township Wright Township Wyoming Wyomissing Yardley Yeadon York Youngsville Zelienople Universities and Colleges Bloomsburg University California University Cheyney University Clarion University Community College of Beaver County Dickinson College East Stroudsburg University Edinboro University Elizabethtown College Indiana University Kutztown University Lehigh University Lock Haven University Millersville University Moravian College Pennsylvania State University: Altoona Beaver Behrend Berks Harrisburg Hazelton McKeesport 3 Mont Alto University Park Shippensburg University Slippery Rock University University of Pittsburgh: Bradford Pittsburgh Metropolitan Counties Allegheny Allegheny County Police Department
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0
0
0
0
29,701
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
10,861 4,043 2,815 2,823
0
2,266
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
5,834 3,020 10,464 2,532 11,440 40,339 1,689 4,008
0
0
0
0
8,723
0
0
0
0
7,720
0
0
0
0
1,667
0
0
6,563
0
0
2,516
0
0
0
0
2,400
0
0
0
0
7,013
0
0
0
0
0
0
0
2,329
0
0
0
0
14,248
0
0
0
0
10,193
0
0
0
0
6,858
0
0
0
0
5,175
0
0
0
8,194
0
0
0
0
1,965
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
3,837 730 3,839 2,660 3,799 1,143
0 0
0 0
0 0
0
0
0
0
7,516
0
0
0
0
8,230
0 0
0
0 0
0 0
1,333 26,860
0
0
0
0
7,579
0 0 0
1,032 42,914
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 619 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
State Police Agencies
1Agencies
Agency name
1st 2nd 3rd 4th quarter quarter quarter quarter
Beaver Centre Cumberland Lycoming Montgomery Pike Washington York
0 0 0 0 0 0 0 0
Adams Bradford Clarion Elk Greene Jefferson Snyder Tioga Warren
0 0 0 0 0 0 0 0 0
Bureau of Criminal Investigation: Adams County Allegheny County Armstrong County Beaver County Bedford County Berks County Blair County Bradford County Bucks County Butler County Cambria County Cameron County Carbon County Centre County Chester County Clarion County Clearfield County Clinton County Columbia County Crawford County Cumberland County Dauphin County Delaware County Elk County Erie County Fayette County Forest County Franklin County Fulton County Greene County Huntingdon County Indiana County Jefferson County Juniata County Lackawanna County Lancaster County
Zero data per quarter1
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0
Population2
State
Agency type
Agency name
Lawrence County Lebanon County Lehigh County Luzerne County Lycoming County McKean County Mercer County Mifflin County Monroe County Montgomery County Montour County Northhampton County Northumberland County Perry County Philadelphia County Pike County Potter County Schuylkill County Snyder County Somerset County Sullivan County Susquehanna County Tioga County Union County Venango County Warren County Washington County Wayne County Westmoreland County Wyoming County York County State Police: Adams County Allegheny County Armstrong County Beaver County Bedford County Berks County Blair County Bradford County Bucks County Butler County Cambria County Cameron County Carbon County Centre County Clarion County Clearfield County Clinton County Columbia County Crawford County Cumberland County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
620
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Delaware County Elizabethville Elk County Erie County Fayette County Franklin County Fulton County Greene County Huntingdon County Indiana County Jefferson County Juniata County Lackawanna County Lancaster County Lawrence County Lebanon County Lehigh County Luzerne County Lycoming County McKean County Mercer County Mifflin County Montour County Northampton County Northumberland County Perry County Philadelphia County Potter County Schuylkill County Skippack Snyder County Somerset County Sullivan County Susquehanna County Tioga County Tionesta Union County Venango County Warren County Washington County Wayne County Westmoreland County Wyoming County York County Other Agencies
1Agencies
Allegheny County District Attorney, Criminal Investigation Division Allegheny County Port Authority
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
Population2
State
Agency type
Agency name
Altoona Hospital Bureau of Narcotics: Adams County Allegheny County Bedford County Berks County Blair County Bradford County Bucks County Cambria County Cameron County Carbon County Centre County Chester County Clearfield County Clinton County Columbia County Crawford County Cumberland County Dauphin County Delaware County Elk County Erie County Fayette County Forest County Greene County Huntingdon County Juniata County Lackawanna County Lehigh County Luzerne County Lycoming County McKean County Mifflin County Monroe County Montgomery County Montour County Northampton County Northumberland County Philadelphia County Pike County Potter County Schuylkill County Snyder County Somerset County Sullivan County Susquehanna County Tioga County Union County Venango County Warren County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0 0 0 0
0 0
0 0
0
0
0
0 0 0
0
0
0
0
0
0 0 0 0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0 0
0 0
0 0
0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 621 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Washington County Wayne County Westmoreland County Wyoming County Canadian Pacific Railway County Detective: Berks County Bucks County Butler County Chester County Clinton County Dauphin County Lebanon County Lehigh County Pike County Schuylkill County Westmoreland County York County Delaware County District Attorney, Criminal Investigation Division Delaware County Park Department of Environmental Resources Harrisburg International Airport State Capitol Police State Park Police, Pymatuning Tyrone Area School District Uniontown Hospital Washington County Alternative Education Westmoreland County Park Wilkes-Barre Area School District RHODE ISLAND...........
Cities
Barrington Bristol Burrillville Central Falls Charlestown Coventry Cranston Cumberland East Greenwich Foster Glocester Hopkinton Jamestown Johnston Lincoln
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0
0 0 0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
Population2
State
0 0
0 0
0
0
Universities and Colleges University of Rhode Island State Police Agencies Rhode Island State Police Headquarters State Police: Chepachet Hope Valley Lincoln Portsmouth Wickford Other Agencies Department of Environmental Management
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Agency name
Little Compton Middletown Narragansett Newport New Shoreham North Kingstown North Providence North Smithfield Portsmouth Richmond Scituate Smithfield Tiverton Warren Westerly West Greenwich Woonsocket
0 0 0
Agency type
SOUTH CAROLINA....
16,414 24,274 16,392 18,818 8,131 34,353 80,724 34,027 13,338 4,467 10,498 7,976 5,484 28,585 21,855
Cities
Abbeville Aiken Allendale Anderson Andrews Atlantic Beach Aynor Bamberg Barnwell Belton Bethune Bishopville Blacksburg Blackville Bluffton Bonneau Bowman Branchville Brunson Burnettown Calhoun Falls Camden Cameron Campobello Cayce Central Charleston Chesnee Chester Chesterfield Clemson Clio Columbia Conway Cottageville Coward Cowpens
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
3,510 16,278 16,552 24,192 1,023
0
0
0
0
26,475
0
0
0
0
32,685
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
11,183 16,853 7,665 10,814 21,495 15,074 11,089 23,197 6,371 43,529
0
0
0
0
15,062
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5,659 29,256 3,781 26,326 3,017 385 580 3,480 4,847 4,607 367 3,945 1,899 2,888 3,791 338 1,163 1,037 576 2,670 2,231 7,071 416 584 12,659 4,147 109,382 1,057 6,074 1,321 12,532 740 120,549 14,285 699 674 2,364
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
622
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Dillon Due West Duncan Easley Eastover Edgefield Edisto Beach Ehrhardt Elgin Elloree Estill Eutawville Fairfax Folly Beach Forest Acres Fort Lawn Fort Mill Fountain Inn Gaffney Gaston Georgetown Greeleyville Greenville Greenwood Greer Hampton Hardeeville Harleyville Holly Hill Honea Path Inman Irmo Isle of Palms Iva Jackson Jamestown Johnsonville Johnston Jonesville Kingstree Lake City Lake View Lamar Lancaster Landrum Lane Latta Laurens Liberty Lincolnville Loris Lynchburg Marion Mauldin McBee McColl McCormick Moncks Corner Mullins Newberry New Ellenton Nichols Ninety Six North North Charleston North Myrtle Beach Norway Orangeburg Pacolet Pageland Pamplico Pawleys Island Pelion 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,382 1,286 3,020 19,372 767 4,529 724 561 1,080 698 2,381 329 3,167 2,339 9,818 816 8,709 7,261 12,945 1,405 8,668 410 57,595 22,428 23,224 2,780 1,857 694 1,346 3,628 1,942 11,364 4,653 1,188 1,650 96 1,461 2,339 914 3,317 6,693 789 1,001 8,393 2,554 533 1,501 9,841 3,034 840 2,322 579 6,949 20,494 713 2,368 2,712 6,645 4,820 10,927 2,251 404 1,920 778
0
0
0
0
88,431
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
15,577 363 13,674 2,756 2,539 1,152 143 599
State
Agency type
Agency name
Pickens Pine Ridge Prosperity Ridgeland Ridgeville Salem Salley Saluda Santee Scranton Seneca Society Hill South Congaree Springdale Springfield St. George St. Matthews St. Stephen Sullivans Island Summerton Sumter Surfside Beach Swansea Tega Cay Timmonsville Travelers Rest Turbeville Vance Varnville Wagener Walhalla Ware Shoals Wellford West Columbia West Pelzer Whitmire Williamston Williston Winnsboro Woodruff Yemassee Universities and Colleges Aiken Technical College Benedict College Bob Jones University3 Clemson University Coastal Carolina University Columbia College Denmark Technical College Erskine College Francis Marion University Lander University Medical University of South Carolina Midlands Technical College Presbyterian College South Carolina State University
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,990 1,760 1,072 2,640 2,075 132 415 2,979 714 998 8,076 696 2,413 2,956 483 2,124 1,995 1,702 1,868 1,047 38,955 4,846 784 4,612 2,384 4,396 721 199 2,035 878 3,689 2,359 2,315 13,729 905 1,543 3,914 3,239 3,637 4,076 857
0
0
0
0
2,442
0
0
0
0
2,531
0
0
0
0
0
0
0
0
17,309
0
0
0
0
8,049
0
0
0
0
1,446
0 0
0 0
0 0
0 0
1,377 924
0
0
0
0
4,075
0
0
0
0
2,682
0
0
0
0
2,498
0
0
0
0
10,849
0
0
0
0
1,224
0
0
0
0
4,384
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 623 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Spartanburg Methodist College The Citadel Trident Technical College University of South Carolina: Aiken Columbia Upstate Winthrop University Metropolitan Counties
Nonmetropolitan Counties
State Police Agencies
1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0
0 0
0 0
0 0
779 3,306
0
0
0
0
11,808
0 0 0
0 0 0
0 0 0
0 0 0
3,380 27,390 4,608
0
0
0
0
6,292
Calhoun Dorchester Edgefield Fairfield Florence Horry Laurens Pickens Sumter York
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
Abbeville Allendale Bamberg Barnwell Cherokee Dillon Georgetown Jasper Lancaster McCormick Newberry Orangeburg Union
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
Highway Patrol: Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County
Population2
State
Agency type
Agency name
Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County Other Agencies
Bureau of Protective Services Charleston County Aviation Authority Columbia Metropolitan Airport Department of Mental Health Department of Natural Resources: Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
624
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County Employment Security Commission Forestry Commission: Abbeville County Aiken County 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
Population2
State
Agency type
Agency name
Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County Newberry County Oconee County Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County GreenvilleSpartanburg International Airport
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 625 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
South Carolina Law Enforcement Division Vehicle Crimes South Carolina Law Enforcement Division Vice: Abbeville County Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Hampton County Horry County Jasper County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro County McCormick County Newberry County Oconee County 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Population2
State
Agency type
Agency name
Orangeburg County Pickens County Richland County Saluda County Spartanburg County Sumter County Union County Williamsburg County York County South Carolina School for the Deaf and Blind State Museum State Ports Authority State Transport Police: Aiken County Allendale County Anderson County Bamberg County Barnwell County Beaufort County Berkeley County Charleston County Cherokee County Colleton County Darlington County Dillon County Dorchester County Edgefield County Fairfield County Florence County Georgetown County Greenville County Greenwood County Horry County Jasper County Kershaw County Laurens County Lee County Lexington County Marion County Marlboro County Newberry County Oconee County Orangeburg County Richland County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0
0 0
0 0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
626
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Spartanburg County Sumter County Union County Williamsburg County York County United States Department of Energy, Savannah River Plant Whitten Center SOUTH DAKOTA ........
Cities
Armour Avon Box Elder Brandon Brookings Canton Centerville Clark Colman Corsica Deadwood Eagle Butte Estelline Eureka Faith Freeman Gettysburg Hot Springs Irene Jefferson Kadoka Lead Lemmon Lennox Leola Madison McLaughlin Menno Miller Mitchell Mobridge New Effington North Sioux City Parkston Rosholt Scotland Springfield Sturgis Tripp Tyndall Vermillion Viborg Wagner Watertown Whitewood Winner Yankton
Universities and Colleges South Dakota State University Metropolitan Counties Lincoln McCook Turner Union Nonmetropolitan Counties Aurora Beadle 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0 0
0 0 0
0 0 0
0 0 0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
Population2
0 0 0 0 0 0 0 0
693 536 3,112 7,956 18,805 3,237 856 1,128 553 601 1,269 950 668 952 456 1,178 1,130 4,095 403 593 673 2,837 1,205 2,154 394 6,221 755 675 1,343 14,894 3,188 225
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,545 1,506 437 816 1,510 6,090 643 1,135 9,810 793 1,596 20,568 810 2,892 13,805
0
0
0
11,303
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0 0
0 0
0 0
State
Agency type
Other Agencies
TENNESSEE ..
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Bennett Bon Homme Brookings Brown Campbell Charles Mix Clay Codington Corson Custer Davison Deuel Dewey Douglas Edmunds Faulk Hamlin Hand Hanson Harding Hughes Hutchinson Jerauld Kingsbury Lawrence Marshall McPherson Mellette Miner Moody Perkins Potter Roberts Sanborn Spink Stanley Sully Tripp Walworth Yankton Ziebach
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
Division of Criminal Investigation Adamsville Alamo Alcoa Alexandria Algood Ardmore Ashland City Athens Atoka Baileyton Bartlett Baxter Bean Station Belle Meade Bells Benton Berry Hill Bethel Springs Big Sandy Blaine Bluff City Bolivar Bradford Brentwood Brighton Brownsville Bruceton Burns Calhoun Camden
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,122 2,349 8,544 870 3,293 1,142 4,696 14,183 6,868 501 47,333 1,367 3,043 3,170 2,275 1,080 690 786 515 1,751 1,629 5,617 1,063 35,019 2,664 10,539 1,469 1,411 522 3,693
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 627 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Carthage Caryville Celina Centerville Chapel Hill Charleston Church Hill Clarksburg Clifton Clinton Columbia Cookeville Coopertown Copperhill Cornersville Cowan Cross Plains Crump Cumberland City Cumberland Gap Dandridge Decaturville Decherd Dover Dresden Dunlap Dyer Eagleville Elizabethton Elkton Englewood Erin Erwin Estill Springs Ethridge Etowah Fairview Fayetteville Friendship Gadsden Gainesboro Gallaway Gates Gatlinburg Germantown Gleason Gordonsville Grand Junction Graysville Greenbrier Greeneville Greenfield Halls Harriman Henderson Henning Henry Hohenwald Hollow Rock Hornbeak Huntingdon Huntland Jacksboro Jamestown Jasper Jefferson City Jellico Jonesborough Kenton Kimball Kingston Kingston Springs 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,234 2,400 1,380 4,018 1,285 654 6,644 374 2,684 9,516 33,897 28,691 3,324 465 948 1,758 1,602 1,457
0
0
0
0
321
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
205 2,497 825 2,164 1,550 2,629 4,891 2,422 472 13,917 500 1,722 1,453 5,802 2,285 555 3,775 7,712 7,104 602 547 845 715 852 5,165 37,450 1,402 1,320 312 1,438 6,434 15,558 2,028 2,201 6,714 6,290 1,290 545 3,832 943 425 4,163 882 2,055 1,907 3,086 8,055 2,546 4,803 1,306 1,380 5,588
0
0
0
0
2,945
State
Agency type
Agency name
Lafayette La Follette La Grange Lake City Lakewood La Vergne Lawrenceburg Lebanon Lenoir City Lewisburg Livingston Lookout Mountain Loretto Loudon Lynnville Madisonville Manchester Martin Mason Maury City McEwen McKenzie McMinnville Medina Middleton Milan Millersville Millington Minor Hill Monteagle Monterey Morristown Moscow Mountain City Mount Carmel Mount Juliet Mount Pleasant Munford Newbern New Hope New Johnsonville New Market Newport New Tazewell Niota Nolensville Norris Oakland Obion Oliver Springs Oneida Parsons Petersburg Pigeon Forge Pikeville Piperton Pittman Center Plainview Pleasant View Powells Crossroads Puryear Red Boiling Springs Ridgely Ridgetop Ripley Rockwood Rogersville Rossville Rutherford Rutledge Scotts Hill
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
4,289 8,212 146 1,856 2,403 28,719 10,826 24,219 7,835 10,866 3,518
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,865 1,707 4,915 338 4,542 9,858 10,043 1,174 705 1,681 5,438 13,378 1,609 623 7,885 6,365 10,323 450 1,209 2,856 27,147 571 2,389 5,436 20,259 4,442 6,268 3,134 1,025
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,993 1,327 7,406 2,896 805 2,643 1,468 3,821 1,100 3,322 3,685 2,377 603 6,019 1,890 1,001 622 2,135 3,822
0 0
0 0
0 0
0 0
1,216 678
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
1,072 1,513 1,705 7,705 5,453 4,327 514 1,236 1,282 913
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
628
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Selmer Sevierville Sewanee Sharon Shelbyville Smithville Smyrna Sneedville Soddy-Daisy Somerville South Carthage South Fulton South Pittsburg Sparta Spencer Spring City Springfield St. Joseph Surgoinsville Sweetwater Tazewell Tellico Plains Tiptonville Toone Townsend Tracy City Trenton Trezevant Trimble Troy Tullahoma Tusculum Union City Vonore Wartburg Wartrace Watertown Waverly Waynesboro Westmoreland White Bluff White House White Pine Whiteville Whitwell Winfield Woodbury Universities and Colleges Austin Peay State University Christian Brothers University East Tennessee State University Middle Tennessee State University Northeast State Technical Community College Southwest Tennessee Community College Tennessee State University Tennessee Technological University University of Memphis 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,724 16,070 2,555 908 19,586 4,227 35,664 1,309 12,098 2,949 1,301 2,446 3,113 4,839 1,683 2,018 16,844 859 1,777 6,419 2,158 955 3,998 356 262 1,685 4,538 889 727 1,241 19,036 2,260 10,772 1,483 912 570 1,408 4,215 2,146 2,195 2,473 9,464 2,099 4,480 1,589 999 2,554
0
0
0
0
9,207
0
0
0
0
1,779
0
0
0
0
12,390
0
0
0
0
22,863
0
0
0
0
5,145
0
0
0
0
11,446
0
0
0
0
9,038
0
0
0
0
9,733
0
0
0
0
20,562
State
Agency type
Agency name
University of Tennessee: Chattanooga Knoxville Martin Memphis3 Volunteer State Community College Walters State Community College Metropolitan Counties
Nonmetropolitan Counties
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
8,923 28,901 6,888
0
0
0
0
7,370
0
0
0
0
5,738
Cannon Carter Chester Fayette Grainger Hamblen Hamilton HartsvilleTrousdale Hawkins Hickman Loudon Macon Madison Marion Polk Robertson Sequatchie Smith Stewart Sumner Tipton Unicoi Union Washington Williamson Wilson
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Bedford Benton Bledsoe Campbell Carroll Claiborne Clay Cocke Coffee Crockett Cumberland Decatur DeKalb Dyer Fentress Franklin Giles Greene Grundy Hancock Hardeman Hardin Haywood Henderson Henry Houston Humphreys Jackson Johnson Lake Lawrence
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 629 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
State Police Agencies Other Agencies
1Agencies
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Lewis Lincoln McMinn McNairy Meigs Moore Morgan Obion Overton Perry Pickett Putnam Rhea Roane Scott Van Buren Wayne Weakley White
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Department of Safety
0
0
0
0
Alcoholic Beverage Commission Chattanooga Metropolitan Airport Department of Correction, Internal Affairs Dickson Parks and Recreation Drug Task Force: 1st Judicial District 2nd Judicial District 3rd Judicial District 4th Judicial District 5th Judicial District 8th Judicial District 9th Judicial District 10th Judicial District 12th Judicial District 13th Judicial District 14th Judicial District 15th Judicial District 17th Judicial District 18th Judicial District 19th Judicial District 21st Judicial District 22nd Judicial District 23rd Judicial District 24th Judicial District 25th Judicial District
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Population2
State
Agency type
Agency name
27th Judicial District 31st Judicial District Knoxville Metropolitan Airport Memphis International Airport Metropolitan Board of Parks and Recreation, NashvilleDavidson Nashville International Airport SmyrnaRutherford County Airport Authority State Fire Marshal State Park Rangers: Bicentennial Capitol Mall Big Hill Pond Big Ridge Bledsoe Creek Booker T. Washington Burgess Falls Natural Area Cedars of Lebanon Chickasaw Cove Lake Cumberland Mountain Cumberland Trail David Crockett David Crockett Birthplace Dunbar Cave Natural Area Edgar Evins Fall Creek Falls Fort Loudon State Historic Park Fort Pillow State Historic Park Frozen Head Natural Area Harpeth Scenic Rivers Harrison Bay Henry Horton Hiwassee-Ocoee State Scenic Rivers Indian Mountain Johnsonville State Historic Park Long Hunter MeemanShelby Forest Montgomery Bell
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
630
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
TEXAS.............
1Agencies
Agency type
Cities
Agency name
Mousetail Landing Natchez Trace Nathan Bedford Forrest Norris Dam Old Stone Fort State Archeological Area Panther Creek Paris Landing Pickett Pickwick Landing Pinson Mounds State Archeological Park Radnor Lake Natural Area Red Clay State Historic Park Reelfoot Lake Roan Mountain Rock Island Sgt. Alvin C. York South Cumberland Recreation Area Standing Stone Sycamore Shoals State Historic Park Tim’s Ford T.O. Fuller Warrior’s Path TennCare Office of Inspector General Tennessee Bureau of Investigation Tennessee Department of Revenue, Special Investigations Unit Tri-Cities Regional Airport West Tennessee Violent Crime Task Force Wildlife Resources Agency: Region 1 Region 2 Region 3 Region 4 Abernathy Abilene Addison Alamo Alamo Heights Alice Alpine Alto Alton Alvarado
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
2,748 114,644 13,764 16,496 7,087 19,850 6,056 1,152 7,793 4,200
State
Agency type
Agency name
Alvin Amarillo Andrews Angleton Anna Anson Anthony Anton Aransas Pass Arcola Argyle Arp Athens Atlanta Azle Baird Balch Springs Balcones Heights Ballinger Bangs Bastrop Bay City Bayou Vista Baytown Beaumont Bee Cave Beeville Bellaire Bellmead Bellville Belton Benbrook Beverly Hills Big Sandy Big Spring Bishop Blanco Bloomburg Blue Mound Boerne Bogata Borger Bovina Bowie Brady Brazoria Breckenridge Bremond Brenham Bridge City Bridgeport Brookshire Brookside Village Brownfield Brownsville Brownwood BrucevilleEddy Bullard Bulverde Burkburnett Burleson Burnet Cactus Caddo Mills Caldwell Calvert Cameron Canton Canyon Carthage Castle Hills Castroville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
22,542 187,234 9,541 18,811 1,811 2,364 4,155 1,153 9,082 1,292 3,291 945 12,742 5,606 10,973 1,668 19,852
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,969 3,875 1,636 7,966 18,211 1,717 69,040 109,345 2,464 13,721 17,879 9,573 4,416 16,191 22,618 2,046 1,360 24,099 3,199 1,641 368 2,354 9,090 1,318 13,128 1,790 5,591 5,382 2,998 5,647 895 14,887 8,735 5,966 3,734
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
2,005 9,110 177,090 19,820
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,535 1,741 4,662 10,203 33,383 5,779 2,679 1,218 3,807 1,401 5,883 3,688 13,644 6,598 4,148 3,080
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 631 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Cedar Hill Celina Center Childress Chillicothe Cibolo Cisco Clarksville Cleburne Cleveland Clifton Clint Clute Clyde Cockrell Hill Coffee City Coleman College Station Colleyville Collinsville Colorado City Columbus Comanche Combes Commerce Conroe Converse Coppell Corinth Corrigan Corsicana Cottonwood Shores Crane Crockett Crowell Crowley Crystal City Cuero Daingerfield Dalhart Dalworthington Gardens Danbury Dayton Decatur Deer Park De Kalb De Leon Denison Denver City DeSoto Devine Diboll Dickinson Dilley Dimmitt Donna Double Oak Driscoll Dublin Dumas Duncanville Eagle Lake Eagle Pass Early Eastland East Mountain Edcouch Eden Edgewood Edinburg Edna El Campo Electra 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
44,629 4,789 5,823 6,631 721 11,960 3,777 3,582 30,174 8,081 3,654 990 10,781 3,744 4,291 209 4,832 74,997 23,743 1,528 3,918 3,930 4,308 2,892 9,692 51,582 14,323 39,572 21,054 1,975 26,696
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
1,166 3,028 6,960 1,055 11,618 7,388 6,642 2,462 6,990
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,408 1,683 7,377 6,402 29,971 1,795 2,406 24,130 4,012 47,253 4,531 5,512 18,151 4,142 3,815 16,662 3,199 818 3,674 14,084 35,512 3,732 26,974 2,821 3,915 629 4,578 2,386 1,478 69,708 5,854 10,799 2,854
State
Agency type
Agency name
Elgin Elsa Ennis Euless Everman Fairfield Fair Oaks Ranch Falfurrias Farmers Branch Farmersville Farwell Ferris Flatonia Florence Floresville Flower Mound Floydada Forest Hill Fort Stockton Frankston Fredericksburg Freeport Freer Friona Gainesville Galena Park Ganado Gatesville Georgetown Giddings Gilmer Gladewater Glenn Heights Godley Gonzales Gorman Graham Granbury Grand Prairie Grand Saline Granger Granite Shoals Grapeland Grapevine Greenville Gregory Groesbeck Groves Gruver Gun Barrel City Hale Center Hallettsville Hallsville Hamlin Harker Heights Harlingen Haskell Hawk Cove Hawkins Hawley Hearne Heath Hedwig Village Helotes Hemphill Hempstead Hereford Hewitt Hickory Creek Hidalgo Highland Park Highland Village
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
9,951 6,758 19,520 52,899 5,739 3,612
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,082 5,042 26,455 3,481 1,298 2,414 1,423 1,133 7,463 68,191 3,214 13,771 7,350 1,276 11,004 12,588 3,022 3,698 16,710 10,177 1,848 15,450 44,834 5,517 5,191 6,355 10,739 1,011 7,534 1,248 8,689 8,040 157,913 3,296 1,359 2,794 1,400 49,498 26,130 2,261 4,368 14,610 1,117
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6,168 2,176 2,532 2,984 1,954 23,726 64,984 2,683 617 1,520 592 4,751 7,263 2,317 6,826 1,070 7,188 14,528 13,522 3,553 12,008 9,062
0
0
0
0
16,298
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
632
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Hill Country Village Hillsboro Hitchcock Holliday Hollywood Park Hondo Hooks Horizon City Horseshoe Bay Howe Hubbard Hudson Hudson Oaks Humble Huntington Hurst Hutchins Hutto Idalou Ingleside Ingram Iowa Park Irving Italy Itasca Jacinto City Jacksboro Jacksonville Jamaica Beach Jarrell Jasper Jefferson Jersey Village Johnson City Jones Creek Jonestown Joshua Jourdanton Junction Karnes City Katy Kaufman Keene Kemah Kemp Kempner Kenedy Kennedale Kerens Kermit Kerrville Kilgore Killeen Kirby Kirbyville Knox City Kountze Kress Kyle Lacy-Lakeview La Feria Lago Vista La Grange Laguna Vista La Joya Lake Dallas Lake Jackson Lakeside Lakeview Lakeway Lake Worth La Marque Lamesa Lampasas 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
1,083 9,161 7,389 1,821 3,276 9,089 2,934 11,855 3,822 2,749 1,706 4,191 1,944 14,977 2,099 38,452 3,039 12,635 2,052 9,355 1,886 6,100 196,676 2,124 1,655 9,890 4,653 14,481 1,127 1,439 7,435 1,991 7,176 1,581 2,120 2,192 5,731 4,445 2,647 3,399 13,830 8,294 6,301 2,497 1,309 1,190 3,363 6,848 1,844 5,144 22,636 12,152 104,188 8,560 2,020 1,043 2,172 779 24,778 5,761 6,890 5,986 4,669 3,068 4,833 7,423 27,788 1,279 6,477 9,774 4,732 14,081 9,167 7,973
State
Agency type
Agency name
Lancaster La Porte Laredo La Vernia Lavon League City Leon Valley Levelland Lewisville Lexington Liberty Lindale Linden Little Elm Littlefield Live Oak Livingston Llano Lockhart Lockney Lone Star Lorena Lorenzo Los Fresnos Lubbock Lufkin Luling Lumberton Lytle Madisonville Magnolia Malakoff Manor Manvel Marble Falls Marfa Marion Marlin Marshall Mart Martindale Mathis McAllen McGregor McKinney Meadows Place Melissa Memorial Villages Memphis Mercedes Meridian Merkel Mesquite Mexia Midlothian Milford Mineral Wells Mission Monahans Mont Belvieu Montgomery Morgans Point Resort Mount Pleasant Muleshoe Munday Murphy Mustang Ridge Nacogdoches Nash Nassau Bay Navasota Nederland Needville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
35,090 34,165 221,253 1,203 424 68,743 9,876 12,653 97,184 1,265 8,474 4,503 2,181 26,824 6,213 12,117 6,567 3,326 13,946 1,802 1,597 1,656 1,241 5,465 213,988 33,997 5,442 9,853 2,733 4,349 1,288 2,374 2,993 4,912 7,562 1,903 1,135 6,097 23,978 2,517 1,117 5,486 129,455 4,862 118,113 6,919 3,395
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
11,714 2,363 14,879 1,510 2,587 132,399 6,726 15,600 748 17,083 66,216 6,340 2,645 593
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
4,291 15,360 4,481 1,291 15,497 931 31,300 2,426 4,040 7,464 16,325 3,585
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 633 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
New Boston New Deal Nocona Nolanville Northlake Oak Ridge Oak Ridge North Odessa O’Donnell Olmos Park Olney Olton Onalaska Orange Grove Overton Ovilla Oyster Creek Paducah Palacios Palmer Pampa Panhandle Pantego Paris Parker Pasadena Pearland Pearsall Pecos Pelican Bay Penitas Perryton Pflugerville Pharr Pilot Point Pinehurst Pittsburg Plainview Pleasanton Ponder Port Aransas Port Arthur Port Isabel Portland Port Lavaca Port Neches Poteet Pottsboro Premont Presidio Primera Princeton Progreso Prosper Queen City Quinlan Quitman Ranger Ransom Canyon Raymondville Red Oak Refugio Reno Richardson Richmond Richwood Riesel Rio Grande City Rising Star River Oaks Roanoke Robinson 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
4,630 726 3,291 2,393 1,109 258
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3,422 95,839 966 2,298 3,328 2,232 1,564 1,426 2,337 3,925 1,236 1,286 5,158 2,200 16,998 2,619 2,344 26,583 2,781 145,235 73,190 7,779 7,946 1,609 1,189 8,305 32,157 63,666 4,293 2,202 4,648 22,054 9,742 1,114 3,812 55,481 5,433 16,645 11,658 12,803 3,719 2,130 2,822 4,939 3,356 5,057 5,375 5,828 1,577 1,466 2,273 2,516
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
1,079 9,554 8,538 2,760 3,073 100,933 13,979 3,389 1,012
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
14,098 834 6,914 3,758 10,011
State
Agency type
Agency name
Robstown Rockdale Rockwall Rollingwood Roma Roman Forest Ropesville Roscoe Rosebud Rose City Rosenberg Royse City Runaway Bay Rusk Sabinal Sachse Saginaw Salado San Angelo San Augustine San Benito San Diego Sanger San Juan San Saba Sansom Park Village Santa Anna Santa Fe Santa Rosa Schertz Seabrook Seadrift Seagoville Seagraves Sealy Selma Seminole Seven Points Seymour Shallowater Shamrock Shavano Park Shenandoah Sherman Silsbee Sinton Slaton Smithville Snyder Socorro Somerset Somerville Sonora Sour Lake South Houston Southlake South Padre Island Southside Place Spearman Springtown Spring Valley Spur Stafford Stamford Stanton Stephenville Stratford Sudan Sugar Land Sullivan City Sulphur Springs Sunrise Beach Village
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
12,361 6,066 34,872 1,363 11,394 3,788 518 1,260 1,365 514 33,131 8,086 1,409 5,173 1,672 19,028 19,818 1,926 88,285 2,429 25,150 4,520 7,391 33,213 2,548
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4,140 1,034 10,735 2,995 29,519 11,448 1,433 11,452 2,360 6,267 3,219 6,105 1,274 2,639 2,227 1,834 3,138 1,954 37,985 6,844 5,491 5,642 4,543 10,549 31,588 1,832 1,723 3,081 1,748 16,348 26,367
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
2,747 1,636 2,911 2,905 3,717 996 20,460 3,175 2,229 16,219 1,878 1,020 82,402 4,466 15,396
0
0
0
0
757
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
634
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Sunset Valley Surfside Beach Sweeny Sweetwater Taft Tahoka Tatum Taylor Teague Temple Terrell Terrell Hills Texarkana Texas City The Colony Thorndale Thrall Three Rivers Tioga Tolar Tool Trinity Trophy Club Troy Tulia Tye Universal City University Park Van Van Alstyne Vernon Waelder Wake Village Waller Wallis Watauga Waxahachie Weatherford Webster Weimar Wells Weslaco West West Columbia West Lake Hills West Orange Westover Hills West Tawakoni West University Place Westworth Wharton Whitehouse White Oak Whitesboro White Settlement Whitney Willis Willow Park Wills Point Wilmer Windcrest Wink Winnsboro Winters Wolfforth Woodville Woodway Wortham Wylie Yoakum Yorktown 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
798 880 3,613 10,519 3,435 2,691 1,198 15,597 4,785 55,057 19,302 5,136 36,237 45,574 42,563 1,335 874 1,707 924 684 2,495 2,762 7,836 1,344 4,664 1,114 18,238
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
24,300 2,632 2,948 11,161 1,018 5,528 2,034 1,298 23,931 27,500 25,500 10,070 2,031 803 32,707 2,693 4,216 3,044 3,935 689 1,773
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
15,249 3,079 9,355 7,556 6,350 4,054
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
16,106 2,101 4,298 4,057 3,940 3,616 5,156 878 3,901 2,630 3,281 2,281 8,693 1,076 36,386 5,659 2,222
State
Agency type
Agency name
Universities and Colleges Abilene Christian University Alamo Community College District3 Alvin Community College Amarillo College Angelo State University Austin College Baylor Health Care System3 Baylor University, Waco Central Texas College College of the Mainland Eastfield College El Paso Community College Grayson County College HardinSimmons University Houston Baptist University Lamar University, Beaumont Laredo Community College McLennan Community College Midwestern State University Mountain View College North Lake College Paris Junior College Prairie View A&M University Rice University Richland College Southern Methodist University South Plains College Southwestern University Stephen F. Austin State University St. Mary’s University Sul Ross State University
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
4,777
0
0
0
0
0
0
0
0
3,996
0
0
0
0
10,356
0 0
0 0
0 0
0 0
6,265 1,354
0
0
0
0
0
0
0
0
14,040
0
0
0
0
17,726
0
0
0
0
3,834
0
0
0
0
12,015
0
0
0
0
26,105
0
0
0
0
3,720
0
0
0
0
2,367
0
0
0
0
2,143
0
0
0
0
9,906
0
0
0
0
8,152
0
0
0
0
7,794
0
0
0
0
6,042
0
0
0
0
7,022
0
0
0
0
9,397
0
0
0
0
4,331
0
0
0
0
8,006
0
0
0
0
5,024
0
0
0
0
14,555
0
0
0
0
10,941
0
0
0
0
9,045
0
0
0
0
1,277
0
0
0
0
11,756
0
0
0
0
3,904 0
0
2,773
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 635 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Tarleton State University Texas A&M International University Texas A&M University: College Station Commerce Corpus Christi Galveston Kingsville Texas Christian University Texas Southern University Texas State Technical College: Harlingen Marshall Waco Texas State University, San Marcos Texas Woman’s University Trinity University Tyler Junior College University of Houston: Central Campus Clearlake Downtown Campus University of Mary Hardin-Baylor University of North Texas: Denton Health Science Center University of Texas: Arlington Brownsville Dallas El Paso Health Science Center, San Antonio Health Science Center, Tyler3 Houston3 Medical Branch Pan American Permian Basin San Antonio Southwestern Medical School Tyler Western Texas College West Texas A&M University Metropolitan Counties
1Agencies
Aransas Archer Armstrong
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
9,464
0
0
0
0
4,917
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
45,380 8,471 8,585 1,553 6,728
0
0
0
0
8,865
0
0
0
0
11,224
0 0 0
0 0 0
0 0 0
0 0 0
4,281 626 4,209
0
0
0
0
27,485
0
0
0
0
11,832
0
0
0
0
2,698
0
0
0
0
9,423
0 0
0 0
0 0
0 0
34,334 7,706
0
0
0
0
11,449
0
0
0
0
2,735
0
0
0
0
33,395
0
0
0
0
1,129
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
24,825 15,688 14,523 19,842
0
0
0
0
2,874
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
2,255 17,337 3,462 28,379
0 0
0 0
0 0
0 0
2,434 5,926
0
0
0
0
1,974
0
0
0
0
7,412
0 0 0
0 0 0
0
0
0
0
State
Agency type
Nonmetropolitan Counties
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Atascosa Austin Bandera Bastrop Bell Bexar Bowie Brazoria Brazos Burleson Caldwell Calhoun Callahan Cameron Carson Chambers Clay Collin Comal Coryell Crosby Dallas Delta Denton Ector Ellis El Paso Fort Bend Galveston Goliad Grayson Gregg Guadalupe Hardin Hays Hidalgo Hunt Irion Jefferson Johnson Jones Kaufman Lampasas Liberty Lubbock Medina Midland Montgomery Nueces Orange Parker Potter Randall Robertson Rockwall Rusk San Jacinto San Patricio Smith Tarrant Taylor Tom Green Travis Upshur Victoria Waller Webb Wilson Wise
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Anderson Andrews Angelina Bailey
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
636
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Baylor Bee Blanco Borden Bosque Brewster Briscoe Brooks Brown Burnet Camp Cass Castro Cherokee Childress Cochran Coke Coleman Collingsworth Colorado Comanche Concho Cooke Cottle Crane Crockett Culberson Dallam Dawson Deaf Smith Dewitt Dickens Dimmit Donley Duval Eastland Edwards Erath Falls Fannin Fayette Fisher Floyd Foard Franklin Freestone Frio Gaines Garza Gillespie Glasscock Gonzales Gray Grimes Hale Hall Hamilton Hansford Hardeman Harrison Hartley Haskell Hemphill Henderson Hill Hockley Hopkins Houston Howard Hudspeth Hutchinson Jack Jackson Jasper Jeff Davis 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
Agency name
Jim Hogg Jim Wells Karnes Kenedy Kent Kerr Kimble King Kinney Kleberg Knox Lamar Lamb La Salle Lavaca Lee Leon Limestone Lipscomb Live Oak Llano Loving Lynn Madison Marion Martin Mason Matagorda Maverick McCulloch McMullen Menard Milam Mills Mitchell Montague Moore Morris Motley Nacogdoches Navarro Newton Nolan Ochiltree Oldham Palo Pinto Panola Parmer Pecos Polk Presidio Rains Reagan Real Red River Reeves Refugio Roberts Runnels Sabine San Augustine San Saba Schleicher Scurry Shackelford Shelby Sherman Somervell Starr Stephens Sterling Stonewall Sutton Swisher Terrell
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 637 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Terry Throckmorton Titus Trinity Tyler Upton Uvalde Val Verde Van Zandt Walker Ward Washington Wharton Wheeler Wilbarger Willacy Winkler Wood Yoakum Young Zapata Zavala Other Agencies
UTAH
Cities
Amarillo International Airport Cameron County Park Rangers DallasFort Worth International Airport Department of Public Safety Hospital District: Dallas County Tarrant County Houston Metropolitan Transit Authority Independent School District: Aldine Alvin Angleton Bay City Cedar Hill Conroe Corpus Christi East Central Ector County El Paso Fort Bend Humble Judson Katy Kaufman Killeen Klein Mexia Midland North East Pasadena Raymondville Socorro Spring Spring Branch Taft United AlpineHighland
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
Population2
State
Agency type
Agency name
American Fork-Cedar Hills Blanding Brian Head Brigham City Cedar City Draper Garland Grantsville Gunnison Harrisville Heber Helper Hildale Hurricane Kaysville La Verkin Leeds Lehi Logan Mapleton Midvale Moab Monticello Naples Nephi North Ogden North Park Ogden Orem Park City Parowan Payson Perry Pleasant Grove-Lindon Pleasant View Price Richfield Riverdale Salem Salina SantaquinGenola Saratoga Springs Smithfield South Ogden South Salt Lake Spanish Fork Stockton Sunset Syracuse Tremonton West Bountiful West Jordan Woods Cross
24,586
Universities and Colleges College of Eastern Utah Southern Utah University University of Utah Utah State University Utah Valley State College Weber State University Metropolitan Counties Cache Juab
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
35,945 3,161 117 18,609 26,479 38,875 2,001 8,329 2,768 5,514 10,155 1,869 1,958 12,749 24,050 4,260 731 39,483 48,403 7,363 27,275 4,886 1,918 1,533 5,276 17,050 10,615 78,160 91,816 8,132 2,545 17,378 3,579
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
41,890 6,607 7,954 7,139 8,023 5,790 2,399
0
0
0
0
8,367
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
12,315 7,484 15,473 21,262 28,950 593 4,870 21,544 6,383 5,287 96,681 8,440
0
0
0
0
2,262
0
0
0
0
7,029
0
0
0
0
30,511
0
0
0
0
14,444
0
0
0
0
23,305
0
0
0
0
18,303
0 0
0 0
0 0
0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
638
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Other Agencies
VERMONT.....
1Agencies
Cities
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Morgan Summit Utah Washington
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
Beaver Box Elder Carbon Daggett Duchesne Emery Garfield Grand Iron Kane Millard Rich San Juan Sanpete Sevier Wasatch Wayne
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Cache-Rich Drug Task Force Davis Metropolitan Narcotics Strike Force Granite School District Utah County Attorney, Investigations Division Utah County Major Crime Task Force Utah Transit Authority Barre Berlin Bradford Brandon Brattleboro Castleton Chester Colchester Dover Essex Fair Haven Hardwick Hartford Hinesburg Ludlow Lyndonville Manchester Middlebury Milton Morristown Newport Northfield Norwich Randolph Richmond Shelburne Springfield St. Albans Stowe Swanton Thetford Vergennes Vernon Waterbury
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
Agency type
Agency name
Weathersfield Williston Wilmington Windsor Winhall Winooski Woodstock
9,050 2,875 819 3,926 11,706 4,384 3,092 17,201 1,448 19,350 2,963 3,271 10,892 4,552 2,736 1,238 4,366 8,194 10,469 5,606 5,329 5,813 3,551 5,124 4,128 7,071 8,752 7,374 4,822 6,508 2,836 2,747 2,072 5,290
VIRGINIA ......
Universities and Colleges University of Vermont Metropolitan Counties Chittenden Franklin Grand Isle Nonmetropolitan Counties Addison Bennington Caledonia Lamoille Orleans Rutland Washington Windham Windsor State Police Agencies State Police: Bradford Brattleboro Derby Middlesex Rockingham Royalton Rutland Shaftsbury St. Johnsbury Williston Vermont State Police Vermont State Police Headquarters, Bureau of Criminal Investigations Other Agencies Attorney General Department of Motor Vehicles Fish and Wildlife Department, Law Enforcement Division Cities Abingdon Altavista Amherst Appalachia Ashland Bedford Big Stone Gap Blacksburg Blackstone Bluefield Bowling Green Boykins Bridgewater Broadway Brookneal Buena Vista Burkeville
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
2,868 8,363 2,358 3,687 786 6,284 3,174
0
0
0
0
11,870
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
7,953 3,379 2,221 1,751 7,111 6,216 5,689 39,250 3,526 5,213 1,025 611 5,431 3,016 1,252 6,456 470
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 639 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Cape Charles Cedar Bluff Chase City Chatham Chilhowie Chincoteague Christiansburg Clarksville Clifton Forge Clinchco Clintwood Coeburn Colonial Beach Colonial Heights Covington Crewe Culpeper Damascus Dayton Dublin Dumfries Edinburg Elkton Farmville Franklin Fries Front Royal Galax Gate City Glade Spring Glasgow Glen Lyn Gordonsville Gretna Grottoes Grundy Halifax Haymarket Haysi Hillsville Honaker Hurt Independence Jonesville Kenbridge Kilmarnock La Crosse Lawrenceville Lebanon Leesburg Lexington Louisa Luray Marion Martinsville Middleburg Middletown Mount Jackson Narrows New Market Norton Occoquan Orange Parksley Pearisburg Pembroke Pennington Gap Pocahontas Poquoson Pound Quantico Rich Creek Richlands Rural Retreat
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
1,530 1,064 2,343 1,278 1,771 4,379 17,983 1,269 4,008 408 1,513 1,996 3,733
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
17,747 6,027 2,266 13,574 1,086 1,347 2,206 4,795 877 2,597 6,908 8,856 557 14,700 6,643 2,081 1,544 1,011 167 1,684 1,204 2,178 975 1,272 1,290 179 2,691 909 1,226 901 981 1,315 1,195 595 1,139 3,185 38,931 6,711 1,557 4,879 6,100 14,856 954 1,137 1,799 2,189 1,863 3,602 817 4,597 822 2,805 1,190 1,753 428 11,939 1,082 634 692 4,083 1,357
State
Agency type
Agency name
Salem Saltville Shenandoah Smithfield South Boston South Hill Stanley Staunton Stephens City St. Paul Strasburg Tappahannock Tazewell Timberville Victoria Vienna Warrenton Warsaw Waynesboro Weber City West Point White Stone Winchester Wise Woodstock Universities and Colleges Christopher Newport University College of William and Mary Emory and Henry College Hampton University J. Sargeant Reynolds Community College Longwood College Norfolk State University Thomas Nelson Community College University of Richmond University of Virginia University of Virginia’s College at Wise Virginia Commonwealth University Virginia Polytechnic Institute and State University Virginia Western Community College Metropolitan Counties Appomattox Botetourt Caroline Charles City Clarke Craig Cumberland
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
24,774 2,256 1,873 7,098 8,007 4,618 1,336 23,210 1,463 971 4,348 2,158 4,369 1,705 1,783 14,923 9,064 1,364 21,681 1,349 3,133 342 25,443 3,256 4,303
0 0 0
0 0 0
0
0
0
0
4,793
0
0
0
0
7,709
0
0
0
0
1,051
0
0
0
0
6,152
0
0
0
0
0
0
0
4,479
0
0
0
0
6,238
0
0
0
0
9,718
0
0
0
0
4,496
0
0
0
0
24,068
0
0
0
0
2,043
0
0
0
0
30,189
0
0
0
0
28,470
0
0
0
0
8,365
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
12,213
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
640
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Dinwiddie Franklin Giles Goochland Hanover Isle of Wight King William Louisa Mathews Nelson Pittsylvania Powhatan Pulaski Rockingham Scott Stafford Surry Sussex Warren York Nonmetropolitan Counties
State Police Agencies
1Agencies
Accomack Alleghany Bath Bland Brunswick Buchanan Carroll Charlotte Culpeper Dickenson Essex Grayson Halifax Henry Highland Lancaster Lee Lunenburg Middlesex Northampton Nottoway Orange Page Patrick Prince Edward Richmond Russell Shenandoah Smyth Southampton Wise Wythe State Police: Accomack County Albemarle County Alexandria Alleghany County Amelia County Amherst County Appomattox County Augusta County Bath County Bedford Bedford County Bland County
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
Population2
State
Agency type
Agency name
Botetourt County Bristol Brunswick County Buchanan County Buckingham County Buena Vista Campbell County Caroline County Carroll County Charles City County Charlotte County Charlottesville Chesapeake Chesterfield County Clarke County Clifton Forge Colonial Heights Covington Craig County Culpeper County Cumberland County Danville Dickenson County Dinwiddie County Emporia Essex County Fairfax City Fairfax County Falls Church Fauquier County Floyd County Fluvanna County Franklin Franklin County Frederick County Fredericksburg Galax Giles County Gloucester County Goochland County Grayson County Greene County Greensville County Halifax County Hampton Hanover County Harrisonburg Henrico County Henry County Highland County Hopewell
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0 0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0
0
0 0 0
0 0 0
0 0
0 0
0 0 0
0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0
0 0
0 0
0 0
0
0
0
0 0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0
0
0 0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 641 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Isle of Wight County James City County King and Queen County King George County King William County Lancaster County Lee County Loudoun County Louisa County Lunenburg County Lynchburg Madison County Manassas Martinsville Mathews County Mecklenburg County Middlesex County Montgomery County Nelson County New Kent County Newport News Norfolk Northampton County Northumberland County Nottoway County Orange County Page County Patrick County Petersburg Pittsylvania County Poquoson Portsmouth Powhatan County Prince Edward County Prince George County Prince William County Pulaski County Radford Rappahannock County Richmond Richmond County Roanoke Roanoke County Rockbridge County Rockingham County Russell County Salem Scott County
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0 0
0 0 0
0 0
0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
Population2
State
Agency type
Agency name
Shenandoah County Smyth County Southampton County Spotsylvania County Stafford County Staunton Suffolk Surry County Sussex County Tazewell County Virginia Beach Warren County Waynesboro Westmoreland County Williamsburg Winchester Wise County Wythe County York County
0
0 Other Agencies
WASHINGTON..................
Cities
Alcoholic Beverage Control Commission Department of Conservation and Recreation Norfolk Airport Authority Port Authority, Norfolk Richmond International Airport Southside Virginia Training Center Aberdeen Airway Heights Algona Anacortes Asotin Bainbridge Island Bellevue Bellingham Bingen Black Diamond Blaine Bonney Lake Bothell Brewster Brier Buckley Burlington Camas Carnation Castle Rock Centralia Chehalis Cheney Chewelah Cle Elum Clyde Hill College Place Colville Connell Cosmopolis
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0 0
0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
16,382 4,794 2,726 16,948 1,130
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
22,442 118,984 76,290 703 3,948 4,622 15,737 31,521 2,124 6,382 5,514 8,921 18,256 1,827 2,147 15,708 7,249 10,597 2,334 3,330 2,997 9,148 5,055 2,987 1,692
0 0
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
642
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Coulee Dam Coupeville Des Moines Dupont Duvall East Wenatchee Eatonville Edgewood Edmonds Elma Enumclaw Ephrata Everson Ferndale Fife Fircrest Forks Garfield Gig Harbor Goldendale Grand Coulee Grandview Granger Granite Falls Hoquiam Ilwaco Issaquah Kalama Kelso Kettle Falls Kirkland Kittitas La Center Lacey Lake Forest Park Lake Stevens Langley Liberty Lake Long Beach Lynden Lynnwood Mabton Malden Marysville McCleary Medical Lake Medina Montesano Morton Moses Lake Mountlake Terrace Mount Vernon Moxee Mukilteo Napavine Normandy Park North Bonneville Oakesdale Oakville Ocean Shores Odessa Omak Oroville Orting Othello Pacific Pasco Pe Ell Port Townsend Poulsbo Prosser Puyallup 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,083 1,857 28,907 6,831 6,064 9,013 2,455 9,860 40,218 3,177 10,966 7,361 2,031 10,559 6,746 6,318 3,249 604 6,691 3,758 1,950 9,222 2,892 2,972 9,058 1,004 19,193 2,077 12,156 1,621 46,686 1,194 1,944 36,037
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
12,506 8,238 1,035 6,399 1,400 11,159 33,663 2,071 191 32,623 1,589 4,493 3,561 3,556 1,102 17,561
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
20,193 30,521 2,044 20,642 1,499 6,207
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
775 379 730 4,785 931 4,745 1,588 5,727 6,357 5,910 52,761 690 9,248 7,919 5,150 37,078
0 0 0 0 0
State
Agency type
Agency name
Quincy Rainier Raymond Reardan Republic Ridgefield Ritzville Rosalia Roy Royal City Ruston Sedro Woolley Shelton Snohomish Snoqualmie Soap Lake South Bend Stanwood Steilacoom Sultan Sumas Sumner Sunnyside Tenino Tieton Toledo Tonasket Toppenish Tumwater Twisp Union Gap Vader Wapato Wenatchee Westport West Richland White Salmon Wilbur Winlock Winthrop Woodinville Woodland Woodway Yarrow Point Yelm Zillah Universities and Colleges Central Washington University Evergreen State College University of Washington Washington State University: Pullman Vancouver3 Western Washington University Metropolitan Counties Asotin Benton Cowlitz Douglas Franklin Skagit Skamania Spokane Thurston Whatcom
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
5,659 1,637 2,976 610 985 4,023 1,714 571 834 1,990 882
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
10,643 9,352 8,838 8,403 1,884 1,840 5,685 6,159 4,215 1,157 9,601 14,931 2,251 1,185 686 960 9,213 13,695 913 5,702 622 4,609 30,179 2,554 10,477 2,373 891 1,233 374 10,143 4,691 1,390 1,039 5,359 2,679
0
0
0
0
10,688
0
0
0
0
4,416
0
0
0
0
39,524
0 0
0
0 0
0 0
23,655
0
0
0
0
14,035
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students. 3Student enrollment figures were not available.
SECTION VI: HATE CRIMES 643 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Nonmetropolitan Counties
Other Agencies– Tribal
WEST VIRGINIA ......
1Agencies
Cities
Agency name
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Adams Columbia Ferry Garfield Grant Grays Harbor Island Jefferson Kittitas Klickitat Lewis Lincoln Mason Okanogan Pacific Pend Oreille San Juan Stevens Wahkiakum Walla Walla Whitman
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Colville Tribal Lummi Tribal Nisqually Tribal Nooksack Tribal Skokomish Tribal
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
Ansted Barboursville Belington Benwood Bethany Bethlehem Bluefield Bridgeport Buckhannon Cameron Capon Bridge Ceredo Chapmanville Charles Town Chesapeake Chester Clearview Danville Dunbar Eleanor Elkins Fairmont Fayetteville Follansbee Fort Gay Gauley Bridge Glen Dale Glenville Grafton Hamlin Harpers Ferry-Bolivar Harrisville Hartford City Henderson Hinton Hurricane Kenova Kermit Keyser Lewisburg Logan
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
Population2
0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
1,597 3,276 1,831 1,463 977 2,506 11,000 7,806 5,551 1,110 250 1,607 1,132 4,013 1,550 2,371 558 538 7,612 1,541 7,050 19,127 2,641 2,893 809 694 1,443 1,470 5,372 1,093
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
1,413 1,880 515 311 2,622 6,179 3,325 225 5,331 3,554 1,525
0 0 0 0 0 0
0 0 0 0 0 0 0
State
Agency type
Agency name
Mabscott Madison Man Mannington Marlinton Marmet Martinsburg Mason Masontown Matoaka McMechen Milton Monongah Montgomery Moorefield Moundsville New Cumberland New Haven Northfork Nutter Fort Oceana Paden City Parkersburg Paw Paw Pennsboro Peterstown Philippi Piedmont Poca Point Pleasant Ranson Ravenswood Reedsville Ridgeley Ripley Rivesville Romney Ronceverte Shepherdstown Shinnston Sistersville Sophia St. Albans Star City Stonewood Summersville Terra Alta Triadelphia Vienna Wardensville Welch West Logan West Milford Weston Westover West Union White Sulphur Springs Williamson Williamstown Winfield Universities and Colleges Concord University Fairmont State University Glenville State College Marshall University Potomac State College Shepherd University
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0
0
1,021 1,523 437 1,640 1,445 2,659 31,562 503 1,199 493 2,821 925 1,035 4,459 4,067 3,992 534 690 3,272 915 1,975 1,523 1,168 2,238 1,479 1,242 10,999 1,404 1,861 3,366 1,517 816 10,667 246 2,283 394 651 4,215 3,922 806
0
1,344 2,610 705 2,080 1,241 1,610 16,610 1,044 656 302 1,780 2,377 911 1,925 2,432 9,385
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
2,323 3,128 2,975 2,060
0
0
0
0
2,787
0
0
0
0
4,611
0
0
0
0
1,381
0
0
0
0
13,936
0
0
0
0
1,485
0
0
0
4,091
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
644
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Metropolitan Counties
Nonmetropolitan Counties
State Police Agencies
1Agencies
Agency name
1st 2nd 3rd 4th quarter quarter quarter quarter
West Liberty State College West Virginia Tech West Virginia University
0
0
0
Boone Cabell Hampshire Hancock Jefferson Mineral Morgan Ohio Pleasants Preston Putnam Wayne Wirt Wood
0 0 0 0 0 0 0 0 0 0 0 0 0 0
Barbour Braxton Gilmer Grant Greenbrier Hardy Harrison Jackson Lewis Logan Marion Mason McDowell Mercer Mingo Monroe Nicholas Pendleton Pocahontas Raleigh Randolph Ritchie Roane Summers Taylor Tucker Tyler Upshur Wyoming State Police: Beckley Berkeley Springs Bridgeport Buckeye Buckhannon Clay Danville Elizabeth Elkins Fairmont Franklin Gauley Bridge Gilbert Glenville Grafton Grantsville Hamlin Harrisville Hinton
Zero data per quarter1
0
Population2
0
2,268
0
0
1,472
0
0
0
27,115
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
State
Agency type
Agency name
Hundred Huntington Jesse Kearneysville Kingwood Lewisburg Logan Martinsburg Moorefield Morgantown Moundsville New Cumberland Oak Hill Paden City Parkersburg Parsons Petersburg Philippi Point Pleasant Princeton Quincy Rainelle Richwood Ripley South Charleston Spencer St. Marys Summersville Sutton Union Upperglade Wayne Welch Wellsburg Weston West Union Wheeling Whitesville Williamson Winfield State Police, Bureau of Criminal Investigation: Beckley Bluefield Buckhannon Charleston Fairmont State Police, Parkway Authority: Fayette County Kanawha County Mercer County Raleigh County
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Other Agencies
Capitol Protective Services Central West Virginia Drug Task Force Department of Natural Resources: Barbour County Berkeley County Boone County Braxton County Brooke County Cabell County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 645 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Calhoun County Clay County Fayette County Gilmer County Grant County Greenbrier County Hampshire County Hancock County Hardy County Harrison County Jackson County Jefferson County Kanawha County Lewis County Lincoln County Logan County Marion County Marshall County Mason County McDowell County Mercer County Mineral County Mingo County Monongalia County Monroe County Morgan County Nicholas County Ohio County Pendleton County Pleasants County Pocahontas County Preston County Putnam County Raleigh County Randolph County Ritchie County Roane County Summers County Taylor County Tucker County Upshur County Wayne County Webster County Wetzel County Wirt County Wood County Wyoming County Eastern Panhandle Drug and Violent Crime Task Force Greenbrier County Drug and Violent Crime Task Force HancockBrooke-Weirton Drug Task Force 1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0
0
0
0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0
0
0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Population2
State
Agency type
Agency name
Huntington Drug and Violent Crime Task Force Kanawha County Parks and Recreation Logan County Drug and Violent Crime Task Force Metropolitan Drug Enforcement Network Team Mon Valley Drug Task Force Ohio Valley Drug and Violent Crime Task Force Parkersburg Narcotics and Violent Crime Task Force Potomac Highlands Drug and Violent Crime Task Force Southern Regional Drug and Violent Crime Task Force State Fire Marshal: Boone County Cabell County Calhoun County Clay County Fayette County Gilmer County Harrison County Jackson County Kanawha County Logan County Marshall County Mason County McDowell County Mercer County Mineral County Mingo County Monongalia County Nicholas County Pleasants County Preston County Raleigh County Randolph County Summers County Taylor County Wayne County Webster County Wyoming County
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0
0
0
0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0 0 0
0 0 0
0 0 0
0 0 0
0
0
0
0
0
0
0
0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
646
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
WISCONSIN...
1Agencies
Agency type
Cities
Agency name
Three Rivers Drug and Violent Crime Task Force Tri-Lateral Drug Enforcement Network Team Albany Algoma Altoona Amery Antigo Arcadia Ashland Ashwaubenon Bangor Baraboo Barron Bayfield Bayside Beaver Dam Belleville Beloit Beloit Town Berlin Black River Falls Blair Bloomer Bloomfield Boscobel Brillion Brodhead Brookfield Brookfield Township Brown Deer Burlington Burlington Town Butler Caledonia Campbellsport Campbell Township Cedarburg Chenequa Chetek Chilton Chippewa Falls Cleveland Clinton Clintonville ColbyAbbotsford Columbus Combined Locks Cornell Cottage Grove Crandon Cross Plains Cuba City Cudahy Cumberland Dane Darien DeForest Delafield Delavan Delavan Town Denmark De Pere Dodgeville
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,119 3,228 6,377 2,846 8,225 2,329 8,147 17,033 1,343 11,015 3,145 579 4,216 15,551 2,246 36,424 7,475 5,197
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
3,456 1,276 3,378 5,990 3,185 2,857 3,089 39,738
0 0 0
0 0 0
0 0 0
0 0 0
6,243 11,507 10,599
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
6,552 1,806 25,682 1,929
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
4,437 11,216 590 2,177 3,635 13,158 1,401 2,261 4,435
0 0
0 0
0 0
0 0
3,649 5,068
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3,121 1,424 5,530 1,880 3,541 2,052 17,998 2,299 952 1,609 8,845 6,975 8,450 4,906 2,124 22,781 4,577
State
Agency type
Agency name
Durand Eagle River Eagle Village East Troy Eau Claire Edgar Edgerton Eleva Elkhart Lake Elkhorn Elk Mound Ellsworth Elm Grove Elroy Evansville Everest Fennimore Fontana Fort Atkinson Fox Lake Fox Point Fox Valley Franklin Frederic Geneva Town Genoa City Germantown Glendale Grafton Grand Chute Grand Rapids Grantsburg Green Bay Greendale Greenfield Green Lake Hales Corners Hartford Hartland Hayward Hazel Green Hillsboro HobartLawrence Holmen Horicon Hortonville Hudson Hurley Independence Iron Ridge Jackson Jefferson Juneau Kaukauna Kenosha Kewaskum Kewaunee Kiel Kohler La Crosse Ladysmith Lake Delton Lake Geneva Lake Hallie Lake Mills Lancaster Lodi Manitowoc Maple Bluff Marathon City Marinette Marion Markesan Marshall Village
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,867 1,579 1,838 4,276 63,472 1,490 5,230 656 1,153 9,354 805 3,112 6,064 1,487 5,023 15,771 2,255 1,890 12,023 1,486 6,663 17,525 34,449 1,220 4,726 2,911 19,491 12,736 11,712 20,793 7,741 1,445 100,010 13,708 35,435 1,158 7,538 13,611 8,793 2,330 1,134 1,283
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
9,725 7,512 3,640 2,774 12,408 1,623 1,243 990 6,248 7,773 2,654 15,405 96,996 4,070 2,877 3,518 1,992 50,032 3,594 2,973 8,209 5,959 5,483 3,869 2,947 33,541 1,286 1,562 10,906 1,232 1,332 3,604
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
SECTION VI: HATE CRIMES 647 Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Marshfield Mauston Mayville McFarland Medford Menasha Menomonee Falls Menomonie Mequon Merrill Middleton Milton Mineral Point Minocqua Mishicot Mondovi Monona Monroe Mosinee Mount Horeb Mount Pleasant Mukwonago Muskego Neenah Neillsville New Glarus New Holstein New Lisbon New Richmond Niagara North Fond du Lac North Hudson North Prairie Oconomowoc Oconomowoc Town Oconto Oconto Falls Omro Onalaska Oregon Osceola Oshkosh Osseo Palmyra Park Falls Pepin Peshtigo Pewaukee Pewaukee Village Phillips Platteville Pleasant Prairie Plover Plymouth Portage Port Washington Poynette Prairie du Chien Prescott Princeton Pulaski Racine Readstown Reedsburg Rice Lake Richland Center Ripon River Falls River Hills
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter
Population2
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
19,175 4,329 5,430 7,663 4,108 16,756
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
34,612 15,367 23,736 9,860 16,710 5,800 2,562 5,026 1,397 2,638 7,924 10,563 4,078 6,674 26,237 6,890 22,961 24,871 2,615 2,064 3,166 2,592 8,200 1,766
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
4,959 3,800 2,055 14,414
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
8,196 4,713 2,854 3,316 16,377 9,006 2,719 64,183 1,637 1,751 2,425 929 3,276 12,939
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
0 0 0 0 0 0 0
9,125 1,530 9,711 19,426 11,495 8,333 9,789
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
11,115 2,579 5,708 4,058 1,448 3,528 79,285 384 8,629 8,422
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
5,145 7,286 13,803 1,614
State
Agency type
Agency name
Rome Town Rothschild Sauk Prairie Saukville Seymour Shawano Sheboygan Falls Shorewood Shorewood Hills Silver Lake Siren Slinger Somerset South Milwaukee Sparta Spencer Spooner Spring Green Stanley St. Croix Falls Stevens Point St. Francis Stoughton Strum Sturgeon Bay Sturtevant Summit Sun Prairie Superior Theresa Thiensville Three Lakes Tomah Tomahawk Town of East Troy Town of Menasha Trempealeau Twin Lakes Two Rivers Valders Verona Viroqua Walworth Washburn Waterloo Waunakee Waupaca Waupun Wausau Wautoma Wauwatosa West Allis West Bend Westby West Milwaukee West Salem Whitefish Bay Whitehall Whitewater Williams Bay Winneconne Wisconsin Dells Wisconsin Rapids Woodruff Universities and Colleges University of Wisconsin: Eau Claire Green Bay La Crosse Madison Milwaukee
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
3,015 5,232 4,225 4,334 3,411 8,790 7,795 13,185 1,629 2,530 842 4,476 2,365
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20,641 9,070 1,846 2,577 1,439 3,676 2,192 24,333 8,899 12,572 1,038 9,129 6,626 5,155 27,366 26,896 1,326 3,258 2,266 8,764 3,708
0
0
0
0
3,936
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
17,192 1,532 5,580 11,916 987 10,525 4,378 2,669 2,125 3,252 10,894 5,833 10,668 38,405 2,088 44,463 58,366 30,070 2,166 3,977 4,725 13,450 1,620 14,147 2,687 2,490 2,538 17,633 2,036
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
10,766 5,690 9,849 41,028 28,309
1Agencies published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
648
CRIME IN THE UNITED STATES (BERNAN PRESS)
Table 95. Hate Crime Zero Data Submitted per Quarter, by State and Agency, 2007 (Contd.) (Number.) Zero data per quarter1 State
Agency type
Agency name
Oshkosh Parkside Stevens Point Stout Superior Whitewater Metropolitan Counties
Nonmetropolitan Counties
1Agencies
Zero data per quarter1
1st 2nd 3rd 4th quarter quarter quarter quarter 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
Brown Calumet Chippewa Columbia Douglas Fond du Lac Iowa Kenosha Kewaunee La Crosse Marathon Milwaukee Oconto Outagamie Ozaukee Pierce Racine Rock Sheboygan St. Croix Washington Waukesha Winnebago
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Adams Ashland Barron Bayfield Buffalo Burnett Clark Crawford Dodge Door Dunn Florence Forest Grant Green Green Lake Iron Jackson Jefferson Juneau Lafayette Langlade Lincoln Manitowoc Marinette Marquette Menominee Monroe Pepin Polk Portage Price Richland Rusk Sauk Sawyer Shawano Taylor Trempealeau Vernon Vilas Walworth Washburn Waupaca
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Population2
State
12,530 5,007 9,048 8,372 2,924 10,502
Agency type
State Police Agencies Other Agencies
Other Agencies– Tribal
WYOMING .....
Cities
Agency name
Popu1st 2nd 3rd 4th lation2 quarter quarter quarter quarter
Waushara Wood
0 0
0 0
0 0
0 0
Wisconsin State Patrol
0
0
0
0
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0
0 0 0
0 0 0
0 0
0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,817 370 1,242 4,566 678 5,691 11,585 2,321 2,393 11,957 855 9,292 2,508 441 7,066 25,504 2,279 2,926 861 3,275 1,142 5,388 8,572 1,721 16,507 1,199 2,912 5,446 3,426 4,857
Capitol Police Department of Natural Resources
Menominee Tribal Oneida Tribal Afton Baggs Basin Buffalo Diamondville Douglas Evanston Evansville Glenrock Green River Hanna Jackson Kemmerer La Barge Lander Laramie Lovell Mills Moorcroft Newcastle Pine Bluffs Powell Rawlins Saratoga Sheridan Sundance Thermopolis Torrington Wheatland Worland
Universities and Colleges Sheridan College University of Wyoming Metropolitan Counties Laramie Natrona Nonmetropolitan Counties Albany Big Horn Campbell Carbon Converse Crook Fremont Goshen Hot Springs Johnson Lincoln Niobrara Park Platte Sheridan Sublette Sweetwater Teton Uinta Washakie Weston
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
3,066
0
0
0
0
13,203
0 0
0 0
0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0
published in this table indicated that no hate crimes occurred in their jurisdictions during the quarter(s) for which they submitted reports to the Hate Crime program. Blanks indicate quarters for which agencies did not submit reports. 2Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2006 school year, the most recent available. The enrollment figures include full-time and part-time students.
APPENDIXES
APPENDIXES 651
APPENDIX I. METHODOLOGY Submitting Uniform Crime Reporting (UCR) Program data to the Federal Bureau of Investigation (FBI) is a collective effort on the part of city, county, state, tribal, and federal law enforcement agencies to present a nationwide view of crime. Law enforcement agencies in 46 states and the District of Columbia voluntarily contribute crime data to the UCR Program through their respective state UCR programs. For those states that do not have a state program, local agencies submit crime statistics directly to the FBI. The state UCR Programs function as liaisons between local agencies and the FBI. Many states have mandatory reporting requirements, and many state programs collect data beyond the scope of the UCR Program to address crime problems specific to their particular jurisdictions. In most cases, state programs also provide direct and frequent service to participating law enforcement agencies, make information readily available for statewide use, and help streamline the national program’s operations. The criteria that have been established for state programs ensure consistency and comparability in the data submitted to the national program, and also ensure regular and timely reporting. These criteria include the following: (1) The state program must conform to the national program’s standards, definitions, and required information. (2) The state criminal justice agency must have a proven, effective, statewide program, and must have instituted acceptable quality control procedures. (3) The state crime reporting must cover a percentage of the population at least equal to that covered by the national program through direct reporting. (4) The state program must have adequate field staff assigned to conduct audits and to assist contributing agencies in record-keeping practices and crime-reporting procedures. (5) The state program must provide the FBI with all of the detailed data regularly collected by the FBI from individual agencies that report to the state program in the form of duplicate returns, computer printouts, and/or appropriate electronic media. (6) The state program must have the proven capability (tested over a period of time) to supply all the statistical data required in time to meet the publication deadlines of the national program. The FBI, in order to fulfill its responsibilities in connection with the UCR Program, continues to edit and review individual agency reports for completeness and quality. National program staff members directly contact individual contributors within the state, when necessary, in connection with crime-reporting matters; staff members also coordinate such contact with the UCR Program. Upon request, they conduct training programs within the state on law enforcement record-keeping and crime-reporting procedures. The FBI conducts an audit of each state’s UCR data collection procedures once every three years, in accordance with audit standards established by the federal government. Should circumstances develop in which the state program does not comply with the aforementioned requirements, the national program may institute a direct collec-
tion of Uniform Crime Reports from law enforcement agencies within the state. Reporting Procedures Based on records of all reports of crime received from victims, officers who discover infractions, and other sources, law enforcement agencies tabulate the number of Part I offenses brought to their attention and submit these data to the FBI every month, either directly or through their state UCR program. Part I offenses include murder, and nonnegligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft, and arson. See Appendix II for definitions of these offenses. Law enforcement’s monthly submission to the FBI includes other important information. When, through investigation, an agency determines that complaints of crimes are unfounded or false, it eliminates that offense from its crime tally through an entry on the monthly report. The report also provides the total number of actual Part I offenses, the number of offenses cleared, and the number of clearances that involve only offenders under 18 years of age. (Law enforcement can clear crimes in one of two ways: by the arrest of at least one person who is charged and turned over to the court for prosecution, or by exceptional means, in which when some element beyond law enforcement’s control precludes the arrest of a known offender.) Law enforcement agencies also submit monthly to the FBI the value of property stolen and recovered in connection with the offenses and detailed information pertaining to criminal homicide and arson. In addition, the FBI collects supplementary information about offenses, such as the locations of robberies, time of day of burglaries, and other analyses about the offenses. The expanded homicide data (details about murders such as the age, sex, and race of both the victim and the offender, the weapon used in the homicide, the circumstances surrounding the offense, and the relationship of the victim to the offender) includes the UCR Program’s Supplementary Homicide Reports (SHRs). SHRs provide information regarding the ages, sexes, and races of murder victims and offenders; the types of weapons used in murders; the victim-to-offender relationships; and the circumstances surrounding the incidents. Law enforcement agencies are asked to complete an SHR for each murder reported to the UCR Program. The UCR Program’s expanded homicide data also provide information about jusitifable homicide (the killing of a felon by either a police officer in the line of duty or a private citizen). For more information, see . Expanded arson data include details about the types of structures involved in arsons and arson rates per population
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group. For more information, see and . The UCR Program also requires law enforcement agencies to report data regarding law enforcement employees. In addition to reporting monthly data on law enforcement officers killed or assaulted, agencies report anually on the number of full-time sworn and civilian law enforcement personnel employed as of October 31 of the reporting year. At the end of each quarter, law enforcement agencies report summarized data on hate crimes (specific offenses that were motivated by an offender’s bias against the perceived race, religion, ethnic origin, sexual orientation, or physical or mental disability). Those agencies participating in the UCR Program’s National Incident-Base Reporting System (NIBRS) submit data on hate crimes monthly. The UCR Program’s data collection guidelines stipulate that a hate crime may involve multiple offenses, victims, and offenders within one incident; therefore, the hate crime data collection program is incident-based. According to UCR counting guidelines: • One offense is counted for each victim in crimes against persons. • One offense is counted for each offense type in crimes against property. • One offense is counted for each offense type in crimes against society. The victim of a hate crime may be an individual, a business, an institution, or society as a whole. Editing Procedures The UCR Program thoroughly examines each report it receives for arithmetical accuracy and for deviations in crime data from month to month and from present to past years that may indicate errors. UCR staff members compare an agency’s monthly reports with its previous submissions and with reports from similar agencies to identify any unusual fluctuations in the agency’s crime count. Large variations in crime levels may indicate modified records procedures, incomplete reporting, or changes in the jurisdiction’s geopolitical structure. Data reliability is a high priority of the national UCR program, which brings any deviations or arithmetical adjustments to the attention of state UCR programs and other submitting agencies. Typically, staff members study the monthly reports to evaluate periodic trends prepared for individual reporting units. Any significant increase or
decrease becomes the subject of a special inquiry. Changes in crime reporting procedures or annexations that affect an agency’s jurisdiction can influence the level of reported crime. When this occurs, the UCR Program excludes the figures for specific crime categories or totals (if necessary) from the trend tabulations. To assist contributors in complying with UCR standards, the UCR Program provides training seminars and instructional materials on crime reporting procedures. Throughout the country, the national program maintains liaison with state programs and law enforcement personnel and holds training sessions to explain the purpose of the program, the rules of uniform classification and scoring, and the methods of assembling the information for reporting. When an individual agency has specific problems in compiling its crime statistics and its remedial efforts are unsuccessful, personnel from the FBI’s Criminal Justice Information Services Division may visit the contributor to aid in resolving the difficulties. The final responsibility for data submissions rests with the individual contributing law enforcement agency. Although every effort is made to ensure the validity of the data, accuracy of the statistics depends primarily on the adherence of each contributor to the established standards of reporting. Population Estimation For the 2007 population estimates used in this report, the FBI computed individual rates of growth from one year to the next for every city/town and county using 2000 decennial population counts and 2001 through 2006 population estimates from the U.S. Census Bureau. Each agency’s rates of growth were averaged; that average was then applied and added to its 2006 Census population estimate to derive the agency’s 2007 population estimate. Population estimates for 2003 are based on the percent change in the state population from the U.S. Census Bureau’s 2002 revised estimates and 2003 provisional estimates. Estimates for 1998 are based on the percent change in the state population from the U.S. Census Bureau’s 1997 revised estimates and 1998 provisional estimates. Crime Trends Trend statistics offer the data user an additional perspective from which to study crime by showing fluctuations from year to year. Percent change tabulations in this publication are computed only for the reporting agencies that provided comparable data for the periods under consideration. The program excludes all figures from the trend calculations, except those received for common months from common agencies. Also excluded are unusual fluctuations that the program determines are the result of variables such as improved records procedures, annexations, etc.
APPENDIXES 653 Caution to Users Data users should exercise care in making any direct comparison between data in this publication and those in prior issues of Crime in the United States. Because of differing levels of participation from year to year and reporting problems that require the UCR Program to estimate crime counts for certain contributors, the data are not comparable from year to year. 2007 Arrest Data Because of changes in local agency reporting practices (updates to the NIBRS), figures are not comparable to previous years’ data for Colorado (Denver). Limited arrest data were received from Illinois; i.e., only Chicago and Rockford provided statistics in accordance with UCR guidelines. Except for the cities of Minneapolis and St. Paul, the Minnesota State UCR Program’s guidelines for reporting forcible rape arrest counts do not comply with the national UCR Program’s guidelines; i.e., Minnesota data include arrests made for forcible rapes of male victims. Therefore, the state forcible rape counts that are published include only the totals received from Minneapolis and St. Paul. For 2007, only arrest totals (with no age or gender breakdowns) are available for Florida. Therefore, Florida arrest totals are included only in Table 69, “Arrests by State, 2007.” No 2007 arrest data were received from the District of Columbia’s Metropolitan Police Department. The only agency (Metro Transit Police) in the District of Columbia for which 12 months of arrest data were received has no attributable population. No 2007 arrest data were received from Hawaii. However, arrest totals for this state were estimated by the national UCR Program and were included in Table 29 “Estimated Number of Arrests, United States, 2007.” No 2007 arrest data were received from the New York City Police Department. However, arrest totals for this area were estimated by the national UCR Program and
were included in Table 29 “Estimated Number of Arrests, United States, 2007.” Offense Estimation Tables 1 through 5 and Table 7 of this publication contain statistics for the entire United States. Because not all law enforcement agencies provide data for complete reporting periods, the FBI includes estimated crime numbers in these presentations. The FBI estimates data for three areas: Metropolitan Statistical Areas (MSAs), cities outside MSAs, and nonmetropolitan counties. The FBI computes estimates for participating agencies not providing 12 months of complete data. For agencies supplying 3 to 11 months of data, the national UCR Program estimates for the missing data by following a standard estimation procedure using the data provided by the agency. If an agency has supplied less than 3 months of data, the FBI computes estimates by using the known crime figures of similar areas within a state and assigning the same proportion of crime volumes to nonreporting agencies. The estimation process considers the following: population size covered by the agency; type of jurisdiction, e.g., police department versus sheriff’s office; and geographic location. Estimation of State-Level Data In response to various circumstances, the FBI calculates estimated offense totals for certain states. For example, some states do not provide forcible rape figures in accordance with UCR guidelines. In addition, problems at the state level have, at times, resulted in no useable data. Also, the conversion of the National Incident-Based Reporting System (NIBRS) data to Summary data has contributed to the need for unique estimation procedures. A summary of state-specific and offense-specific estimation procedures follows.
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APPENDIX II. DEFINITIONS The Uniform Crime Reporting (UCR) Program divides offense into two groups. Contributing agencies submit information on the number of Part I offenses known to law enforcement; those offenses cleared by arrest or exceptional means; and the age, sex, and race of persons arrested for each of thse offenses. Contributors provide only arrest data for Part II offenses. Part I offenses include murder, and nonnegligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft, and arson. Violent crime is composed of four offenses: murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault. According to the UCR Program’s definition, violent crimes involve force or threat of force. Criminal homicide—a.) Murder and nonnegligent manslaughter: the willful (nonnegligent) killing of one human being by another. Deaths caused by negligence, attempts to kill, assaults to kill, suicides, and accidental deaths are excluded. The program classifies justifiable homicides separately and limits the definition to (1) the killing of a felon by a law enforcement officer in the line of duty; or (2) the killing of a felon, during the commission of a felony, by a private citizen. b.) Manslaughter by negligence: the killing of another person through gross negligence. Traffic fatalities are excluded. Forcible rape—The carnal knowledge of a female forcibly and against her will. Assaults and attempts to commit rape by force or threat of force are also included. Statutory rape (no force used—female victim is under the age of consent) and other sex offenses are excluded. Sexual attacks on males are counted as aggravated assaults or sex offenses, depending on the circumstances and the extent of any injuries. Robbery—The taking or attempted taking of anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or by putting the victim in fear.
involves the destruction of property; however, arson victims may be subjected to force. Burglary (breaking or entering)—The unlawful entry of a structure to commit a felony or a theft. The use of force to gain entry need not have occurred. The Program has three subclassifications for burglary: forcible entry, unlawful entry where no force is used, and attempted forcible entry. The UCR definition of “structure” includes, for example, apartment, barn, house trailer or houseboat when used as a permanent dwelling, office, railroad car (but not automobile), stable, and vessel (i.e., ship). Larceny-theft (except motor vehicle theft)—The unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. Examples are thefts of bicycles or automobile accessories, shoplifting, pocket-picking, or the stealing of any property or article that is not taken by force and violence or by fraud. Attempted larcenies are included. Embezzlement, confidence games, forgery, worthless checks, and the like, are excluded. Motor vehicle theft—The theft or attempted theft of a motor vehicle. It includes the stealing of automobiles, trucks, buses, motorcycles, snowmobiles, and the like. The taking of a motor vehicle for temporary use by persons having lawful access is excluded from this definition. A motor vehicle is self-propelled and runs on land surface and not on rails. Motorboats, construction equipment, airplanes, and farming equipment are specifically excluded from this category. Arson—Any willful or malicious burning or attempt to burn, with or without intent to defraud, a dwelling house, public building, motor vehicle, aircraft, personal property of another, and the like. Limited data are available for arson because of limited participation and varying collection procedures by local law enforcement agencies. Arson statistics are included in trend, clearance, and arrest tables throughout Crime in the United States, but they are not included in any estimated volume data.
Aggravated assault—An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm. Attempted aggravated assaults that involve the display of—or threat to use—a gun, knife, or other weapon is included in this crime category because serious personal injury would likely result if the assault were completed. When aggravated assault and larceny-theft occur together, the offense falls under the category of robbery. Simple assaults are excluded.
In addition to reporting Part I offenses, law enforcement agencies provide the UCR Program with monthly data on persons arrested for all crimes except traffic violations. These arrest data include the age, sex, and race of arrestees for both Part I and Part II offenses. Part II offenses encompass all crimes, except traffic violations, that are not classified as Part I offenses, including:
Property crime includes the offenses of burglary, larcenytheft, motor vehicle theft, and arson. The object of the thefttype offenses is the taking of money or property, but there is no force or threat of force against the victims. The property crime category includes arson because the offense
Forgery and counterfeiting—The altering, copying, or imitating of something, without authority or right, with the intent to deceive or defraud by passing the copy or thing altered or imitated as that which is original or genuine; or the selling, buying, or possession of an altered, copied, or
Other assaults (simple)—Assaults and attempted assaults which are not of an aggravated nature and do not result in serious injury to the victim.
APPENDIXES 655 imitated thing with the intent to deceive or defraud. Attempts are included. Fraud—The intentional perversion of the truth for the purpose of inducing another person or other entity in reliance upon it to part with something of value or to surrender a legal right. Fraudulent conversion and obtaining of money or property by false pretenses. Confidence games and bad checks, except forgeries and counterfeiting, are included. Embezzlement—The unlawful misappropriation or misapplication by an offender to his/her own use or purpose of money, property, or some other thing of value entrusted to his/her care, custody, or control. Stolen property; buying, receiving, possessing—Buying, receiving, possessing, selling, concealing, or transporting any property with the knowledge that it has been unlawfully taken, as by burglary, embezzlement, fraud, larceny, robbery, etc. Attempts are included. Vandalism—To willfully or maliciously destroy, injure, disfigure, or deface any public or private property, real or personal, without the consent of the owner or person having custody or control by cutting, tearing, breaking, marking, painting, drawing, covering with filth, or any other such means as may be specified by local law. Attempts are included. Weapons; carrying, possessing, etc.—The violation of laws or ordinances prohibiting the manufacture, sale, purchase, transportation, possession, concealment, or use of firearms, cutting instruments, explosives, incendiary devices, or other deadly weapons. Attempts are included. Prostitution and commercialized vice—The unlawful promotion of or participation in sexual activities for profit, including attempts. Sex offenses (except forcible rape, prostitution, and commercialized vice)—Statutory rape, offenses against chastity, common decency, morals, and the like. Attempts are included. Drug abuse violations—The violation of laws prohibiting the production, distribution, and/or use of certain controlled substances. The unlawful cultivation, manufacture, distribution, sale, purchase, use, possession, transportation, or importation of any controlled drug or narcotic substance. Arrests for violations of state and local laws, specifically those relating to the unlawful possession, sale, use, growing, manufacturing, and making of narcotic drugs. The following drug categories are specified: opium or cocaine and their derivatives (morphine, heroin, codeine); marijuana; synthetic narcotics/manufactured narcotics that can cause true addiction (demerol, methadone); and dangerous nonnarcotic drugs (barbiturates, benzedrine). Gambling—To unlawfully bet or wager money or something else of value; assist, promote, or operate a game of
chance for money or some other stake; possess or transmit wagering information; manufacture, sell, purchase, possess, or transport gambling equipment, devices, or goods; or tamper with the outcome of a sporting event or contest to gain a gambling advantage. Offenses against the family and children—Unlawful nonviolent acts by a family member (or legal guardian) that threaten the physical, mental, or economic well-being or morals of another family member and that are not classifiable as other offenses, such as assault or sex offenses. Attempts are included. Driving under the influence—Driving or operating a motor vehicle or common carrier while mentally or physically impaired as the result of consuming an alcoholic beverage or using a drug or narcotic. Liquor laws—The violation of state or local laws or ordinances prohibiting the manufacture, sale, purchase, transportation, possession, or use of alcoholic beverages, not including driving under the influence and drunkenness. Federal violations are excluded. Drunkenness—To drink alcoholic beverages to the extent that one’s mental faculties and physical coordination are substantially impaired. Excludes driving under the influence. Disorderly conduct—Any behavior that tends to disturb the public peace or decorum, scandalize the community, or shock the public sense of morality. Vagrancy—The violation of a court order, regulation, ordinance, or law requiring the withdrawal of persons from the streets or other specified areas; prohibiting persons from remaining in an area or place in an idle or aimless manner; or prohibiting persons from going from place to place without visible means of support. All other offenses—All violations of state or local laws not specifically identified as Part I or Part II offenses, except traffic violations. Suspicion—Arrested for no specific offense and released without formal charges being placed. Curfew and loitering laws (persons under 18 years of age)—Violations by juveniles of local curfew or loitering ordinances. Runaways (persons under 18 years of age)—Limited to juveniles taken into protective custody under the provisions of local statutes. Hate crime—criminal offenses that are motivated, in whole or in part, by the offender’s bias against a race, religion, sexual orientation, ethnicity/national origin, or disability and are committed against persons, property, or society.
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APPENDIX III. GEOGRAPHIC AREA DEFINITIONS The UCR Program collects crime data and supplemental information that make it possible to generate a variety of statistical compilations, including data presented by reporting areas. These statistics allow data users to analyze local crime data in conjunction with those for areas of similar geographic location or population size. The reporting areas that the UCR Program uses in its data breakdowns include community types, population groups, and regions and divisions. For community types, the UCR Program considers proximity to metropolitan areas using the designations created by the U.S. Office of Management and Budget (OMB). (Generally, sheriffs, county police, and state police report crimes within counties but outside of cities; local police report crimes within city limits.) The number of inhabitants living in a locale (based on the U.S. Census Bureau’s figures) determines the population group into which the program places it. For its geographic breakdowns, the UCR Program divides the United States into regions, divisions, and states. Regions and Divisions The map below illustrates the four regions of the United States, along with their nine subdivisions as established by the Census Bureau. The UCR Program uses this widely recognized geographic organization when compiling the nation’s crime data. The regions and divisions are as follows: Northeast New England—Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont Middle Atlantic—New York, New Jersey, and Pennsylvania Midwest East North Central—Illinois, Indiana, Michigan, Ohio, and Wisconsin West North Central—Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota South South Atlantic—Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia
West Mountain—Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming Pacific—Alaska, California, Hawaii, Oregon, and Washington Community Types To assist data users who wish to analyze and present uniform statistical data about metropolitan areas, the UCR Program uses reporting units that represent major population centers. The program compiles data for the following three types of communities: Metropolitan statistical areas (MSAs)—Each MSA contains a principal city or urbanized area with a population of at least 50,000 inhabitants. MSAs include the principal city, the county in which the city is located, and other adjacent counties that have a high degree of economic and social integration with the principal city and county (as defined by the OMB), which is measured through commuting. In the UCR Program, counties within an MSA are considered metropolitan counties. In addition, MSAs may cross state boundaries. In 2007, approximately 84.2 percent of the nation’s population lived in MSAs. Some presentations in this publication refer to Metropolitan Divisions, which are subdivisions of an MSA that consists of a core with “a population of at least 2.5 million persons. A Metropolitan Division consists of one or more main/secondary counties that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties,” (Federal Register 65 [249]). Also, some tables reference suburban areas, which are subdivisions of MSAs that exclude the principal cities but include all the remaining cities (those having fewer than 50,000 inhabitants) and the unincorporated areas of the MSAs. Because the elements that comprise MSAs, particularly the geographic compositions, are subject to change, the UCR Program discourages data users from making year-to-year comparisons of MSA data. Cities Outside MSAs—Ordinarily, cities outside MSAs are incorporated areas. In 2007, cities outside MSAs made up 6.2 percent of the nation’s population.
East South Central—Alabama, Kentucky, Mississippi, and Tennessee
Nonmetropolitan Counties Outside MSAs—Most nonmetropolitan counties are composed of unincorporated areas. In 2007, 9.6 percent of the nation’s population resided in nonmetropolitan counties.
West South Central—Arkansas, Louisiana, Oklahoma, and Texas
Metropolitan and nonmetropolitan community types are further illustrated in the following table:
APPENDIXES 657 Metropolitan
Nonmetropolitan
Principal cities (50,000+ inhabitants) Suburban cities
Cities outside metropolitan areas
Metropolitan counties
Nonmetropolitan counties
Individual law enforcement agencies are the source of UCR data. The number of agencies included in each population group may vary from year to year because of population growth, geopolitical consolidation, municipal incorporation, etc. In noncensus years, the UCR Program estimates population figures for individual jurisdictions. (A more comprehensive explanation of population estimations can be found in Appendix I.) The categories below show the number of agencies contributing to the UCR Program within each population group for 2007:
Population Groups The UCR Program uses the following population group designations: Population Group
Political Label
Population Range
I
City
250,000 or more
II
City
100,000 to 249,999
III
City
50,000 to 99,999
IV
City
25,000 to 49,999
V
City
10,000 to 24,999
VI
City1
Fewer than 10,000
VIII (Nonmetropolitan county)
County2
N/A
IX (Metropolitan county)
County2
N/A
Population Group
Number of Agencies
Population Covered
I
73
54,837,759
II
189
28,430,342
III
472
32,458,407
IV
848
29,149,912
V
1,907
30,267,100
VI1
9,022
26,467,089
VIII (Nonmetropolitan county)2
3,054
30,492,750
IX (Metropolitan county)2
2,173
69,517,798
Total
17,738
301,621,157
1 Includes 1Includes
universities and colleges to which no population is attributed. 2Includes state police agencies to which no population is attributed.
universities and colleges to which no population is attributed. 2Includes state police to which no population is attributed.
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APPENDIX IV. THE NATION’S TWO CRIME MEASURES The Department of Justice administers two statistical programs to measure the magnitude, nature, and impact of crime in the nation: the Uniform Crime Reporting (UCR) Program and the National Crime Victimization Survey (NCVS). Each of these programs produces valuable information about aspects of the nation’s crime problem. Because the UCR and NCVS programs are conducted for different purposes, use different methods, and focus on somewhat different aspects of crime, the information they produce together provides a more comprehensive panorama of the nation’s crime problem than either could produce alone. Uniform Crime Reporting (UCR) Program The UCR Program, administered by the Federal Bureau of Investigation (FBI), was created in 1929 and collects information on the following crimes reported to law enforcement authorities: murder and nonnegligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larcenytheft, motor vehicle theft, and arson. Law enforcement agencies also report arrest data for 21 additional crime categories. The UCR Program compiles data from monthly law enforcement reports and from individual crime incident records transmitted directly to the FBI or to centralized state agencies that report to the FBI. The program thoroughly examines each report it receives for reasonableness, accuracy, and deviations that may indicate errors. Large variations in crime levels may indicate modified records procedures, incomplete reporting, or changes in a jurisdiction’s boundaries. To identify any unusual fluctuations in an agency’s crime counts, the program compares monthly reports to previous submissions of the agency and to those for similar agencies. The FBI annually publishes its findings in a preliminary release in the spring of the following calendar year, followed by a detailed annual report, Crime in the United States, issued in the fall. (The printed copy of Crime in the United States is now published by Bernan Press.) In addition to crime counts and trends, this report includes data on crimes cleared, persons arrested (age, sex, and race), law enforcement personnel (including the number of sworn officers killed or assaulted), and the characteristics of homicides (including age, sex, and race of victims and offenders; victim-offender relationships; weapons used; and circumstances surrounding the homicides). Other periodic reports are also available from the UCR Program. The state and local law enforcement agencies participating in the UCR Program are continually converting to the more comprehensive and detailed National Incident-Based Reporting System (NIBRS). The NIBRS provides detailed information about each criminal incident in 22 broad categories of offenses.
The UCR Program presents crime counts for the nation as a whole, as well as for regions, states, counties, cities, towns, tribal law enforcement areas, and colleges and universities. This allows for studies among neighboring jurisdictions and among those with similar populations and other common characteristics. National Crime Victimization Survey The NCVS, conducted by the Bureau of Justice Statistics (BJS), began in 1973. It provides a detailed picture of crime incidents, victims, and trends. After a substantial period of research, the BJS completed an intensive methodological redesign of the survey in 1993. It conducted this redesign to improve the questions used to uncover crime, update the survey methods, and broaden the scope of crimes measured. The redesigned survey collects detailed information on the frequency and nature of the crimes of rape, sexual assault, personal robbery, aggravated and simple assault, household burglary, theft, and motor vehicle theft. It does not measure homicide or commercial crimes (such as burglaries of stores). Twice a year, Census Bureau personnel interview household members in a nationally representative sample of approximately 43,000 households (about 76,000 people). Approximately 150,000 interviews of individuals 12 years of age and over are conducted annually. Households stay in the sample for 3 years, and new households rotate into the sample on an ongoing basis. The NCVS collects information on crimes suffered by individuals and households, whether or not those crimes were reported to law enforcement. It estimates the proportion of each crime type reported to law enforcement, and it summarizes the reasons that victims give for reporting or not reporting. The survey provides information about victims (age, sex, race, ethnicity, marital status, income, and educational level); offenders (sex, race, approximate age, and victimoffender relationship); and crimes (time and place of occurrence, use of weapons, nature of injury, and economic consequences). Questions also cover victims’ experiences with the criminal justice system, self-protective measures used by victims, and possible substance abuse by offenders. Supplements are added to the survey periodically to obtain detailed information on specific topics, such as school crime. The BJS published the first data from the redesigned NCVS in a June 1995 bulletin. The publication of NCVS data includes Criminal Victimization in the United States, an annual report that covers the broad range of detailed information collected by the NCVS. The bureau also publishes detailed reports on topics such as crime against women, urban crime, and gun use in crime. The National
APPENDIXES 659 Archive of Criminal Justice Data at the University of Michigan archives the NCVS data files to help researchers perform independent analyses. Comparing the UCR Program and the NCVS Because the BJS designed the NCVS to complement the UCR Program, the two programs share many similarities. As much as their different collection methods permit, the two measure the same subset of serious crimes with the same definitions. Both programs cover rape, robbery, aggravated assault, burglary, theft, and motor vehicle theft; both define rape, robbery, theft, and motor vehicle theft virtually identically. (Although rape is defined analogously, the UCR Program measures the crime against women only, and the NCVS measures it against both sexes.)
viewing a sample and are, therefore, subject to a margin of error. The bureau uses rigorous statistical methods to calculate confidence intervals around all survey estimates, and describes trend data in the NCVS reports as genuine only if there is at least a 90-percent certainty that the measured changes are not the result of sampling variation. The UCR Program bases its data on the actual counts of offenses reported by law enforcement agencies. In some circumstances, the UCR Program estimates its data for nonparticipating agencies or those reporting partial data. Apparent discrepancies between statistics from the two programs can usually be accounted for by their definitional and procedural differences, or resolved by comparing NCVS sampling variations (confidence intervals) of crimes said to have been reported to police with UCR Program statistics.
There are also significant differences between the two programs. First, the two programs were created to serve different purposes. The UCR Program’s primary objective is to provide a reliable set of criminal justice statistics for law enforcement administration, operation, and management. The BJS established the NCVS to provide previously unavailable information about crime (including crime not reported to police), victims, and offenders.
For most types of crimes measured by both the UCR Program and the NCVS, analysts familiar with the programs can exclude those aspects of crime not common to both from analysis. Resulting long-term trend lines can be brought into close concordance. The impact of such adjustments is most striking for robbery, burglary, and motor vehicle theft, whose definitions most closely coincide.
Second, the two programs measure an overlapping but nonidentical set of crimes. The NCVS includes crimes both reported and not reported to law enforcement. The NCVS excludes—but the UCR Program includes—homicide, arson, commercial crimes, and crimes committed against children under 12 years of age. The UCR Program captures crimes reported to law enforcement but collects only arrest data for simple assaults and sexual assaults other than forcible rape.
With robbery, the BJS bases the NCVS victimization rates on only those robberies reported to the police. It is also possible to remove UCR Program robberies of commercial establishments, such as gas stations, convenience stores, and banks, from analysis. When users compare the resulting NCVS police-reported robbery rates and the UCR Program noncommercial robbery rates, the results reveal closely corresponding long-term trends.
Third, because of methodology, the NCVS and UCR have different definitions of some crimes. For example, the UCR defines burglary as the unlawful entry or attempted entry of a structure to commit a felony or theft. The NCVS, not wanting to ask victims to ascertain offender motives, defines burglary as the entry or attempted entry of a residence by a person who had no right to be there.
Conclusion
Fourth, for property crimes (burglary, theft, and motor vehicle theft), the two programs calculate crime rates using different bases. The UCR Program rates for these crimes are per capita (number of crimes per 100,000 persons), whereas the NCVS rates for these crimes are per household (number of crimes per 1,000 households). Because the number of households may not grow at the same annual rate as the total population, trend data for rates of property crimes measured by the two programs may not be comparable. In addition, some differences in the data from the two programs may result from sampling variation in the NCVS and from estimating for nonresponsiveness in the UCR Program. The BJS derives the NCVS estimates from inter-
Each program has unique strengths. The UCR Program provides a measure of the number of crimes reported to law enforcement agencies throughout the country. The program’s Supplementary Homicide Reports provide the most reliable, timely data on the extent and nature of homicides in the nation. The NCVS is the primary source of information on the characteristics of criminal victimization and on the number and types of crimes not reported to law enforcement authorities. By understanding the strengths and limitations of each program, it is possible to use the UCR Program and NCVS to achieve a greater understanding of crime trends and the nature of crime in the United States. For example, changes in police procedures, shifting attitudes towards crime and police, and other societal changes can affect the extent to which people report and law enforcement agencies record crime. NCVS and UCR Program data can be used in concert to explore why trends in reported and police-recorded crime may differ.
INDEX
INDEX
663
INDEX A AGE Arrests, distribution by age, 334 Arrests, five-year trends, by age, 330, 331 Arrests, ten-year trends, by age, 328, 329 Arrests of persons under 15, 18, 21, and 25 years, 340, 348, 356, 364, 372 Arrest trends, current year over previous year, 332, 333 City arrests, distribution by age, 346 City arrests, persons under 15, 18, 21, and 25 years, 348 City arrest trends, by age, 344, 345 County arrests, distribution by age, 354, 362 County arrest trends, metropolitan counties, 352, 353 County arrest trends, nonmetropolitan counties, 360, 361 Female arrests, distribution by age, 338 Male arrests, distribution by age, 336 Offenses cleared by arrest or exceptional means, persons under 18, 315 Suburban area arrests, distribution by age, 370 Suburban area arrest trends, by age, 368, 369 AGENCIES Full-time law enforcement employees, by state and other agencies, 497 Offenses known to law enforcement, by state and other agencies, 258 AGGRAVATED ASSAULT (ACTUAL) Aggravated assault, by state and type of weapon, 301 Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 AGGRAVATED ASSAULT (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342
Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Population and offense distribution, by region, 32 ALABAMA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 ALASKA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 ALCOHOLIC BEVERAGES Driving under the influence see DRIVING UNDER THE INFLUENCE
664
CRIME IN THE UNITED STATES (BERNAN PRESS)
Liquor law violations see LIQUOR LAW VIOLATIONS ARIZONA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 ARKANSAS Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 ARRESTS, CITIES Distribution by age, 346 Distribution by race, 350 Distribution by sex, 349 Persons under 15, 18, 21, and 25 years, 348 ARRESTS, DISTRIBUTION BY AGE City arrests, 346 Female arrests, 338 Male arrests, 336 Metropolitan counties, 354 Nonmetropolitan counties, 362 Numbers and percentages generally, 334 Offenses cleared by arrest or exceptional means, persons under 18, 315 Persons under 15, 18, 21, and 25 years, 340 Suburban areas, 370 ARRESTS, DISTRIBUTION BY RACE City arrests, 350 Metropolitan counties, 358 Nonmetropolitan counties, 366 Numbers and percentages, 342 Suburban areas, 374 ARRESTS, DISTRIBUTION BY SEX City arrests, 349 Metropolitan counties, 357 Nonmetropolitan counties, 365 Numbers and percentages, 341 Suburban areas, 373 ARRESTS, GEOGRAPHIC REGIONS Numbers and rates, 325 ARRESTS, JUVENILES Disposition of juvenile offenders taken into custody, 376 Offenses cleared by arrest or exceptional means, persons under 18, 315 ARRESTS, METROPOLITAN COUNTIES Distribution by age, 354 Distribution by race, 358 Distribution by sex, 357 Persons under 15, 18, 21, and 25 years, 356
ARRESTS, NATIONALLY Estimated number of arrests, 325 ARRESTS, NONMETROPOLITAN COUNTIES Distribution by age, 362 Distribution by race, 366 Distribution by sex, 365 Persons under 15, 18, 21, and 25 years, 364 ARRESTS, POPULATION GROUPS Numbers and rates, 326 ARRESTS, STATE TOTALS Numbers and types of offenses, 377 ARRESTS, SUBURBAN AREAS Distribution by age, 370 Distribution by race, 374 Distribution by sex, 373 Persons under 15, 18, 21, and 25 years, 372 ARREST TRENDS, CITIES Numbers and percentages generally, 344, 345 ARREST TRENDS, METROPOLITAN COUNTIES Numbers and percentages generally, 352, 353 ARREST TRENDS, NATIONALLY Five-year trends, 330, 331 Numbers and percentages, by age, 332 Numbers and percentages, by age and sex, 333 Ten-year trends, 328, 329 ARREST TRENDS, NONMETROPOLITAN COUNTIES Numbers and percentages, 360, 361 ARREST TRENDS, SUBURBAN AREAS Numbers and percentages generally, 368, 369 ARSON (ACTUAL) Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 ARSON (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358
INDEX Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344 Arrest trends, cities, by age and sex, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 ASSAULT Aggravated assault see AGGRAVATED ASSAULT Simple assault see SIMPLE ASSAULT B BURGLARY (ACTUAL) Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offense analysis, by classification and value, 302 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Property stolen and recovered, by type and value, 302 BURGLARY (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348
665
Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 C CALIFORNIA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 CHILDREN Families and children, offenses against see FAMILIES AND CHILDREN, OFFENSES AGAINST Juvenile offenders see JUVENILE OFFENDERS CITIES Arrests, by population group, 326 Arrests, distribution by age, 346 Arrests, distribution by race, 350 Arrests, distribution by sex, 349 Arrests, persons under 15, 18, 21, and 25 years, 348 Arrest trends for cities, 344, 345 Crime, by community type, 32
666
CRIME IN THE UNITED STATES (BERNAN PRESS)
Crime, by metropolitan statistical area, 49 Crime per 100,000 population, 294, 295 Crime trends, by population group, 289, 292 Crime trends, by suburban and nonsuburban cities, 290 Law enforcement employees, 387, 391, 392, 396 Law enforcement officers, 389, 391, 392 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by state and city, 92 CLOTHING AND FURS Property stolen and recovered, by type and value, 302 COLLEGES Law enforcement officers, 467 Offenses known to law enforcement, by university and college, 211 COLORADO Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 CONCEALED CARRY VIOLATIONS see FIREARMS OFFENSES CONNECTICUT Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 CONSUMABLE GOODS Property stolen and recovered, by type and value, 302 CONTROLLED SUBSTANCES Drug abuse violations see DRUG ABUSE VIOLATIONS COUNTERFEITING see FORGERY AND COUNTERFEITING COUNTIES Arrests, by population group, 326 Arrests, distribution by age, 354, 362 Arrests, distribution by race, 358, 366 Arrests, distribution by sex, 357, 365 Arrests of persons under 15, 18, 21, and 25 years, 356, 364 Arrest trends for metropolitan counties, 352, 353 Arrest trends for nonmetropolitan counties, 360, 361 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime per 100,000 population, 294, 296 Crime trends, by metropolitan and nonmetropolitan counties, 291 Crime trends, by population group, 289, 292 Law enforcement employees, 387, 391, 392, 476 Law enforcement officers, 389, 391, 392
Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and other agencies, 258 CRIME, METROPOLITAN STATISTICAL AREAS Numbers and percentages, 49 CRIME, NATIONALLY Percent change in volume and rate, 31 Volume and rate, 31 CRIME, OFFENSE ANALYSIS Figures, 91 CRIME PER 100,000 POPULATION Cities and population group numbers and rates, 295 Counties and population group numbers and rates, 296 Population group numbers and rates, 294–297 Selected known offenses, by population group, 297 CRIME TRENDS Cities and population group numbers and percentages, 290 Counties and population group numbers and percentages, 291 Population group numbers and percentages, 289, 292 CURFEW AND LOITERING LAW VIOLATIONS Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 CURRENCY Property stolen and recovered, by type and value, 302 CURRENT YEAR OVER PREVIOUS YEAR ARREST TRENDS By age, 332 By sex, 333
INDEX D DELAWARE Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 DISABLED PERSONS Hate crimes, by bias motivation, 511, 513, 514 Hate crimes, number of incidents, 516 Hate crimes, number of victims, 515 Hate crimes, state figures, 517 DISORDERLY CONDUCT Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 DISTRICT OF COLUMBIA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 395, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by state and city, 92
667
Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 DRIVING UNDER THE INFLUENCE Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 DRUG ABUSE VIOLATIONS Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374
668
CRIME IN THE UNITED STATES (BERNAN PRESS)
Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 DRUNKENNESS Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 E EMBEZZLEMENT Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354
Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 ETHNICITY Hate crimes, by bias motivation, 511, 513, 514 Hate crimes, number of incidents, 516 Hate crimes, number of victims, 515 Hate crimes, state figures, 517 Race see RACE F FAMILIES AND CHILDREN, OFFENSES AGAINST Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345
INDEX Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 FEDERAL AGENCIES Law enforcement employees, 497 FEMALES Generally see SEX FIREARMS OFFENSES Aggravated assault, by state and type of weapon, 301 Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime trends, by population group, 292 Murder, by state and type of weapon, 299 Offenses cleared by arrest or exceptional means, by population group, 313 Property stolen and recovered, by type and value, 302 Robbery, by state and type of weapon, 300 FLORIDA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300
669
FORCIBLE RAPE (ACTUAL) Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offense analysis, by classification and value, 302 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 FORCIBLE RAPE (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369
670
CRIME IN THE UNITED STATES (BERNAN PRESS)
Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 FORGERY AND COUNTERFEITING Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 FRAUD Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366
Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 G GAMBLING Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 GEORGIA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222
INDEX Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 GUAM Law enforcement employees, 497 H HANDGUNS see FIREARMS OFFENSES HATE CRIMES Agency hate crime reporting, by state, 519 Incidents, offenses, victims, and known offenders, by bias motivation, 511 Incidents per bias motivation, by state and agency, 520 Incidents, offenses, victims, and known offenders, by offense type, 511 Known offender’s race, 516 Known offender’s race, by bias motivation, 514 Known offender’s race, by offense type, 512 Number of incidents and bias motivation, by location, 516 Number of incidents and victim type, by bias motivation, 516 Number of offenses and offense type, by bias motivation, 513 Number of victims and offense type, by bias motivation, 515 Offense type, by participating state, 517 Victim type, by offense type, 514 Zero data submitted, by state and agency, 553 HAWAII Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 HOMICIDE Murder and nonnegligent manslaughter see MURDER AND NONNEGLIGENT MANSLAUGHTER HOUSEHOLD GOODS Property stolen and recovered, by type and value, 302 I IDAHO Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 ILLINOIS Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by state and city, 92
671
Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 INDIANA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 INTIMIDATION Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 IOWA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 J JEWELRY Property stolen and recovered, by type and value, 302 JUVENILE OFFENDERS Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, counties, persons under 15, 18, 21, and 25, 356, 364 Arrests, disposition of offenders taken into custody, 376 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373
672
CRIME IN THE UNITED STATES (BERNAN PRESS)
Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25 years, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Offenses cleared by arrest or exceptional means, persons under 18, 315 Police disposition of offenders taken into custody, 376 K KANSAS Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 KENTUCKY Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 KNIFE OFFENSES Aggravated assault, by state and type of weapon, 301 Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364
Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 292 Murder, by state and type of weapon, 299 Offenses cleared by arrest or exceptional means, by population group, 313 Robbery, by state and type of weapon, 300 L LARCENY-THEFT (ACTUAL) Crime per 100,000 population, by population group, 294–296 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime trends, by population group, 289 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offense analysis, by classification and value, 302 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Property stolen and recovered, by type and value, 302 LARCENY-THEFT (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358
INDEX Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 LAW ENFORCEMENT Offenses known to, by counties, 222 Offenses known to, by state and city, 92 Offenses known to, by state and other agencies, 258 Offenses known to, by state and university and college, 211 LAW ENFORCEMENT EMPLOYEES Full-time civilian employees, by population group, 392 Full-time employees, by city, 396 Full-time employees, by county, 476 Full-time employees, by geographic region, division, and group, 387 Full-time employees, by population group, 392 Full-time employees, by rate range, 391 Full-time employees, by state, 395 Full-time employees, by state agency, 393 Full-time employees, by state and other agencies, 497 Full-time employees, by state and university and college, 467 LAW ENFORCEMENT OFFICERS Full-time officers, by city, 396 Full-time officers, by county, 476 Full-time officers, by geographic region, division, and group, 389 Full-time officers, by rate range, 391 Full-time officers, by state, 395 Full-time officers, by state agency, 393 Full-time officers, by state and other agencies, 497 Full-time officers, by state and university and college, 467 LIQUOR LAW VIOLATIONS Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338
673
Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 LIVESTOCK Property stolen and recovered, by type and value, 302 LOITERING see CURFEW AND LOITERING LAW VIOLATIONS LOUISIANA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 M MAINE Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MALES Generally see SEX MANSLAUGHTER Murder and nonnegligent manslaughter see MURDER AND NONNEGLIGENT MANSLAUGHTER
674
CRIME IN THE UNITED STATES (BERNAN PRESS)
MARYLAND Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MASSACHUSETTS Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 METROPOLITAN STATISTICAL AREAS Crime, numbers and percentages, 49 MICHIGAN Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MINNESOTA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MINORS Arrests, disposition of juvenile offenders taken into custody, 376 Arrests of persons under 15, 18, 21, and 25 years, 340, 348, 356, 364, 372 Families and children, offenses against see FAMILIES AND CHILDREN, OFFENSES AGAINST Juvenile offenders see JUVENILE OFFENDERS Offenses cleared by arrest or exceptional means, persons under 18, 315 Police disposition of offenders taken into custody, 376 MISSISSIPPI Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377
Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MISSOURI Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MONTANA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 MOTOR VEHICLE THEFT (ACTUAL) Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offense analysis, by classification and value, 302 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Property stolen and recovered, by type and value, 302 MOTOR VEHICLE THEFT (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350
INDEX Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 MURDER AND NONNEGLIGENT MANSLAUGHTER (ACTUAL) Crime per 100,000 population, by population group, 294–296 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime trends, by population group, 289 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Murder, by state and type of weapon, 299 Offense analysis, by classification and value, 302 Offenses cleared by arrest or exceptional means, by population group, 311 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258
675
Offenses known to law enforcement, by university and college, 211 MURDER AND NONNEGLIGENT MANSLAUGHTER (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 N NATIONAL ORIGIN Hate crimes, by bias motivation, 511, 513, 514 Hate crimes, number of incidents, 516 Hate crimes, number of victims, 515 Hate crimes, state figures, 517 NEBRASKA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300
676
CRIME IN THE UNITED STATES (BERNAN PRESS)
NEVADA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 NEW HAMPSHIRE Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 NEW JERSEY Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 NEW MEXICO Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 NEW YORK Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 NORTH CAROLINA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377
Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 NORTH DAKOTA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 O OFFENSE ANALYSIS Classification and value, 302 Figures, 91 OFFENSES CLEARED Persons under 18, by population group, 315 Population group numbers and percentages, 311, 313 Region and geographic numbers and percentages, 312 OFFENSES REPORTED (ACTUAL) Aggravated assault, by state and type of weapon, 301 Clearance by arrest or exceptional means, by population group, 311, 313 Clearance by arrest or exceptional means, by region and geographic division, 312 Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Murder, by state and type of weapon, 299 Offense analysis, by classification and value, 302 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Property stolen and recovered, by type and value, 302 Robbery, by state and type of weapon, 300 OFFENSES REPORTED (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330
INDEX Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 OFFICE EQUIPMENT Property stolen and recovered, by type and value, 302 OHIO Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 OKLAHOMA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 OREGON Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299
677
Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 P PENNSYLVANIA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 PERCENT CHANGE IN CRIME Crime, by region, geographic division, and state, 33 Crime in the U.S., by volume and rate, 31 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Offense analysis, by classification and value, 302 POLICE see LAW ENFORCEMENT PROPERTY CRIME (ACTUAL) Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Property stolen and recovered, by type and value, 302 PROPERTY CRIME (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357
678
CRIME IN THE UNITED STATES (BERNAN PRESS)
Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Population and offense distribution, by region, 32 PROPERTY STOLEN AND RECOVERED Type and value, 302 PROPERTY VALUE Offense analysis, by classification and value, 302 Property stolen and recovered, by type and value, 302 PROSTITUTION AND COMMERCIALIZED VICE Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353
Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 PUERTO RICO Crime totals, 33, 41 Law enforcement employees, 497 Offenses known to law enforcement, by state and other agencies, 258 R RACE Arrests, distribution by race, 342 City arrests, distribution by race, 350 County arrests, distribution by race, 358, 366 Hate crimes, by bias motivation, 511, 513 Hate crimes, known offender’s race, 516 Hate crimes, number of incidents, 516 Hate crimes, number of victims, 515 Hate crimes, offender’s race by bias motivation, 514 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Suburban area arrests, distribution by race, 374 RAPE Forcible rape see FORCIBLE RAPE Sex offenses see SEX OFFENSES RATES OF CRIME Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Murder, by state and type of weapon, 299 Offenses analysis, 91 Percent change in volume and rate, 31 Population and offense distribution, by region, 32 Robbery, by state and type of weapon, 300 RECOVERED PROPERTY Property stolen and recovered, by type and value, 302 RELIGION Hate crimes, by bias motivation, 511, 513, 514 Hate crimes, number of incidents, 516 Hate crimes, number of victims, 515 Hate crimes, state figures, 517 RHODE ISLAND Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 RIFLES see FIREARMS OFFENSES ROBBERY (ACTUAL) Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295
INDEX Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 Offense analysis, by classification and value, 302 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Property stolen and recovered, by type and value, 302 ROBBERY (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33
679
Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Offense analysis, 91 Population and offense distribution, by region, 32 RUNAWAYS Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 S SEX Arrests, distribution by sex, 341 Arrests, five-year trends, by sex, 331 Arrests, ten-year trends, by sex, 329 Arrest trends, by age and sex, 333 City arrests, distribution by sex, 349 City arrest trends, by sex, 345 County arrests, distribution by sex, 357, 365 County arrest trends, metropolitan counties, 353 County arrest trends, nonmetropolitan counties, 361 Female arrests, distribution by age, 338 Male arrests, distribution by age, 336 Suburban area arrests, distribution by sex, 373 Suburban area arrest trends, by sex, 369 SEX OFFENSES Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341
680
CRIME IN THE UNITED STATES (BERNAN PRESS)
Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Forcible rape see FORCIBLE RAPE SEXUAL ORIENTATION Hate crimes, by bias motivation, 511, 513, 514 Hate crimes, number of incidents, 516 Hate crimes, number of victims, 515 Hate crimes, state figures, 517 SHOTGUNS see FIREARMS OFFENSES SIMPLE ASSAULT Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 SOUTH CAROLINA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 SOUTH DAKOTA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92
Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 STATE ARREST TOTALS Numbers and types of offenses, 377 STATE CRIME TOTALS Aggravated assault, by state and type of weapon, 301 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 STOLEN PROPERTY Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Property stolen and recovered, by type and value, 302 STUDENT ENROLLMENT Offenses known to law enforcement, by state and university and college, 211 SUBURBAN AREAS Arrests, by population group, 326 Arrests, distribution by age, 370 Arrests, distribution by race, 374 Arrests, distribution by sex, 373 Arrests of persons under 15, 18, 21, and 25 years, 372 Arrest trends, 368, 369 Crime per 100,000 population, 294–297 Crime trends, by population group, 289, 292
INDEX Crime trends, by suburban and nonsuburban cities, 290 Law enforcement employees, 387, 391 Law enforcement officers, 389, 391 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, persons under 18, 315 SUSPICION Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 T TELEVISIONS AND RADIOS Property stolen and recovered, by type and value, 302 TENNESSEE Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 TERRITORIES Crime, by state and area, 41 TEXAS Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41
681
Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 THEFT Burglary see BURGLARY Embezzlement see EMBEZZLEMENT Larceny-theft see LARCENY-THEFT Motor vehicle theft see MOTOR VEHICLE THEFT Robbery see ROBBERY Stolen property see STOLEN PROPERTY TRENDS IN CRIME Arrests, five-year trends, by age, 330 Arrests, five year trends, by sex, 331 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrest trends, by age, 332 Arrest trends, by sex, 333 Crime, by region, geographic division, and state, 33 Crime in the U.S., by volume and rate, 31 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Offense analysis, 91 Offense analysis, by classification and value, 302 Percent change in volume and rate, 31 U UNIFORM CRIME REPORTING PROGRAM (UCR) Historical background, 4 Primary objective of, 3 Redesign of, 5 UNIVERSITIES Law enforcement officers, 467 Offenses known to law enforcement, by university and college, 211 UTAH Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 V VAGRANCY Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349
682
CRIME IN THE UNITED STATES (BERNAN PRESS)
Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 VANDALISM Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345
Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Hate crimes, by offense type, 511 Hate crimes, number and type by bias motivation, 513 Hate crimes, number of victims, 515 Hate crimes, offender’s race by offense type, 512 Hate crimes, state figures, 517 Hate crimes, victim type by offense type, 514 VERMONT Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 VICE OFFENSES see PROSTITUTION AND COMMERCIALIZED VICE VICTIMS Hate crimes, 511, 514 VIOLENT CRIME (ACTUAL) Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Offenses cleared by arrest or exceptional means, by population group, 311, 313 Offenses cleared by arrest or exceptional means, by region, 312 Offenses cleared by arrest or exceptional means, persons under 18, 315 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 VIOLENT CRIME (ESTIMATED) Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362
INDEX Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Population and offense distribution, by region, 32 VIRGINIA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 VOLUME OF CRIME Aggravated assault, by state and type of weapon, 301 Crime, by community type, 32 Crime, by metropolitan statistical area, 49 Crime, by region, geographic division, and state, 33 Crime, by state and area, 41 Crime in the U.S., by volume and rate, 31 Crime per 100,000 population, by population group, 294–297 Crime per 100,000 population, cities by population group, 295 Crime per 100,000 population, counties by population group, 296 Crime per 100,000 population, known offenses, by population group, 297 Crime trends, by population group, 289, 292 Crime trends, cities by population group, 290 Crime trends, counties by population group, 291 Murder, by state and type of weapon, 299 Offense analysis, 91 Offense analysis, by classification and value, 302 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by state and other agencies, 258 Offenses known to law enforcement, by university and college, 211 Percent change in volume and rate, 31 Population and offense distribution, by region, 32 Robbery, by state and type of weapon, 300
683
W WASHINGTON Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 WEAPONS OFFENSES Aggravated assault, by state and type of weapon, 301 Arrests, by geographic region, 325 Arrests, by population group, 326 Arrests, cities, distribution by age, 346 Arrests, cities, distribution by race, 350 Arrests, cities, distribution by sex, 349 Arrests, cities, persons under 15, 18, 21, and 25, 348 Arrests, distribution by age, 334 Arrests, distribution by race, 342 Arrests, distribution by sex, 341 Arrests, females, distribution by age, 338 Arrests, five-year trends, by age, 330 Arrests, five-year trends, by sex, 331 Arrests, males, distribution by age, 336 Arrests, metropolitan counties, distribution by age, 354 Arrests, metropolitan counties, distribution by race, 358 Arrests, metropolitan counties, distribution by sex, 357 Arrests, metropolitan counties, persons under 15, 18, 21, and 25, 356 Arrests, nonmetropolitan counties, distribution by age, 362 Arrests, nonmetropolitan counties, distribution by race, 366 Arrests, nonmetropolitan counties, distribution by sex, 365 Arrests, nonmetropolitan counties, persons under 15, 18, 21, and 25, 364 Arrests, suburban areas, distribution by age, 370 Arrests, suburban areas, distribution by race, 374 Arrests, suburban areas, distribution by sex, 373 Arrests, suburban areas, persons under 15, 18, 21, and 25, 372 Arrests, ten-year trends, by age, 328 Arrests, ten-year trends, by sex, 329 Arrests nationally, 325 Arrests of persons under 15, 18, 21, and 25, 340 Arrest trends, by age, 332 Arrest trends, by sex, 333 Arrest trends, cities, 344, 345 Arrest trends, metropolitan counties, 352, 353 Arrest trends, nonmetropolitan counties, 360, 361 Arrest trends, suburban areas, 368, 369 Crime trends, by population group, 292 Murder, by state and type of weapon, 299 Offenses cleared by arrest or exceptional means, by population group, 313 Robbery, by state and type of weapon, 300 WEST VIRGINIA Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299
684
CRIME IN THE UNITED STATES (BERNAN PRESS)
Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 WISCONSIN Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92
Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300 WYOMING Aggravated assault, by state and type of weapon, 301 Arrests, numbers and types of offenses, 377 Crime totals, 33, 41 Hate crime figures, 517–553 Law enforcement employees, 393, 395, 396, 467, 476, 497 Murder, by state and type of weapon, 299 Offenses known to law enforcement, by agencies, 258 Offenses known to law enforcement, by counties, 222 Offenses known to law enforcement, by state and city, 92 Offenses known to law enforcement, by university and college, 211 Robbery, by state and type of weapon, 300
