U.S. Department of Justice
Federal Bureau of Investigation
i/7 nn/i Release Date
"'•™ Sunday
November 19, 1995
the United States, Uniforn...
CRIME
in
the
UNITED
STATES 1994
Uniform Crime Reports
Uniform
Crime
Reports
for the United States
1994
SUMMARY
CRIME INDEX
CRIMES CLEARED
SUPERINTENDENT OF DOCUMENTS
DEPOSITORY
DEC 0 8 1995
BOSTON PUBLIC LIBRARY
GOVERNMENT DOCUMEnTr™^
J
PERSONS ARRESTED
TOPICAL STUDIES
LAW ENFORCEMENT PERSONNEL
Printed ^^^^^^^^^™
As. NN U ALLY
Federal Bureau of Investigation
U.S. Department of Justice
Washington, D.C. 20535
ADVISORY:
Committee on Uniform Crime Records
International Association of Chiefs of Police;
Committee on Uniform Crime Reporting
National Sheriffs' Association;
Criminal Justice Information Services Advisory Policy Board
APPENDICES
For sale by the U.S. Government Printing Office
Superintendent of Documents. Mail Stop: SSOP. Washington. DC 20402-9328
ISBN 0-16-048362-X
PREFACE
It is believed that in these figures lay the foundations of a nation-
wide system of uniform crime statistics. As the months and years pass,
the accumulation of such data will acquire steadily increasing impor-
tance and value... [T]he extent and incidence of known offenses [are]
given a factual basis in the United States for the first time.
— Uniform Crime Report, Vol. 1, No. 1,
January 1, 1930
Since 1930, state and local law enforcement agencies have worked co-
operatively with the FBI to provide the Nation with a reliable set of criminal
statistics through the Uniform Crime Reporting (UCR) Program. Initially, only 400
cities covering a population of about 20 million participated in the Program. Now,
over 16,000 jurisdictions serving 249 million inhabitants, or 96 percent of the U.S.
population, voluntarily supply information from their records systems for compila-
tion in Crime in the United States. Through the intervening years, America's
emerging crime problems have been reflected in this annual report, and although
primarily produced in the interest of law enforcement, the report has become a
useful tool to the general public, the media, legislators, academicians, and others
with an interest in studying the social conditions of the Nation.
With every issue in the past 65 years, the UCR staff and contributors have
continually made improvements in the gathering and aggregation of information
into a quality published form. While Crime in the United States has fulfilled its
founders' vision that it become a publication of "importance and value," it must
continue its evolution to meet the ever-expanding demands of law enforcement for
this vital information into the next century.
As the Information Technology Age progresses, society and law enforcement
face new challenges in fighting crime. The FBI, along with state UCR Programs
and the law enforcement community overall, is continuing its efforts at implement-
ing the National Incident-Based Reporting System (NIBRS) as the 21st Century
approaches. NIBRS offers new avenues in data analysis and publication, with the
goal of providing more accurate, reliable, and comprehensive crime data as well as
an indispensable resource for developing strategies to address crime.
in
CRIME FACTORS
Each year when Crime in the United States is published, many entities — news media, tourism agencies,
and others with an interest in crime in our Nation — compile rankings of cities and counties based on their
Crime Index figures. These simplistic and/or incomplete analyses often create misleading perceptions which
adversely affect cities and counties, along with their residents. Assessing criminality and law enforcement's
response from jurisdiction to jurisdiction must encompass many elements, some of which, while having
significant impact, are not readily measurable nor applicable pervasively among all locales. Geographic and
demographic factors specific to each jurisdiction must be considered and applied if crime assessment is to
approach completeness and accuracy. There are several sources of information which may assist the
responsible researcher. The U.S. Bureau of the Census data, for example, can be utilized to better understand
the makeup of a locale's population. The transience of the population, its racial and ethnic makeup, its
composition by age and gender, education levels, and prevalent family structures are all key factors in
assessing and better understanding the crime issue.
Local chambers of commerce, planning offices, or 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), its proximity to military reservations, etc., all help
in better gauging and interpreting the crime known to and reported by law enforcement.
The strength (personnel and other resources) and the aggressiveness of a jurisdiction's law enforcement
agency are also key factors. While information pertaining to the number of sworn and civilian law
enforcement employees can be found in this publication, assessment of the law enforcement emphases is, of
course, much more difficult. For example, one city may report more crime than a comparable one, not
because there is more crime, but rather because its law enforcement agency through proactive efforts
identifies more offenses. Attitudes of the citizens toward crime and their crime reporting practices,
especially concerning more minor offenses, have an impact on the volume of crimes known to police.
It is incumbent upon all data users to become as well educated as possible about how to categorize and
quantify the nature and extent of crime in the United States and in any of the over 16,000 jurisdictions
represented by law enforcement contributors to this Program. Valid assessments are only possible with
careful study and analysis of the various unique conditions affecting each local law enforcement jurisdiction.
Historically, the causes and origins of crime have been the subjects of investigation by varied
disciplines. Some factors which are known to affect the volume and type of crime occurring from place to
place are:
Population density and degree of urbanization with size of locality and its surrounding area.
Variations in composition of the population, particularly youth concentration.
Stability of population with respect to residents' mobility, commuting patterns, and transient
factors.
Modes of transportation and highway system.
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, correc-
tional, and probational).
Citizens' attitudes toward crime.
Crime reporting practices of the citizenry.
IV
The Uniform Crime Reports give a nationwide view of crime based on statistics contributed by state
and local law enforcement agencies. Population size is the only correlate of crime utilized in this publication.
While the other factors listed above are of equal concern, no attempt is made to relate them to the data
presented. The reader is, therefore, cautioned against comparing statistical data of individual reporting
units from cities, counties, metropolitan areas, states, or colleges and universities solely on the basis of their
population coverage or student enrollment.
Data users are cautioned against comparisons of crime trends presented in this report and those
estimated by the National Crime Victimization Survey (NCVS), administered by the Bureau of Justice
Statistics. Because of differences in methodology and crime coverage, the two programs examine the
Nation's crime problem from somewhat different perspectives, and their results are not strictly
comparable. The definitional and procedural differences can account for many of the apparent
discrepancies in results from the two programs.
vi
CONTENTS
Page
Section I — Summary of the Uniform Crime Reporting Program 1
Section II — Crime Index Offenses Reported 5
Narrative comments:
Crime Index Total 5
Violent Crime: 10
Murder and nonnegligent manslaughter 13
Forcible rape 23
Robbery 26
Aggravated assault 31
Property Crime: 35
Burglary 38
Larceny-theft 43
Motor vehicle theft 49
Arson 53
Crime Index Tabulations 57
Charts:
Crime clock, 1994 4
Crime Index total, 1990-1994 7
Crime Index offenses, percent distribution, 1994 8
Regional violent and property crime rates, 1994 9
Violent crime, 1990-1994 12
Murder, 1990-1994 15
Forcible rape, 1990-1994 25
Robbery, 1990-1994 28
Robbery analysis, 1990-1994 30
Aggravated assault, 1990-1994 33
Property crime, 1990-1994 37
Burglary, 1990-1994 40
Burglary analysis, 1990-1994 41
Larceny-theft, 1990-1994 45
Larceny analysis, 1990-1994 46
Larceny analysis, 1994 47
Motor vehicle theft, 1990-1994 51
Tables:
Crime Index total by month, percent of annual total, 1990-1994 6
Violent crime total by month, percent of annual total, 1990-1994 11
Murder:
By month, percent of annual total, 1990-1994 14
Victims by race and sex, 1994 14
Age, sex, and race of victims, 1994 : 16
Age, sex, and race of offenders. 1994 16
Victim/offender relationship by age, 1994 17
Victim/offender relationship by race and sex, 1994 17
Type of weapons used, 1 994 18
Victims, type of weapons used, 1990-1994 18
Victims — weapons used, 1994 18
vn
Page
Tables — Continued
Circumstances by relationship, 1994 19
Circumstances by weapon, 1994 20
Circumstances, 1990-1994 21
Circumstances by victim sex, 1994 21
Justifiable homicide by weapon, 1990-1994:
Law enforcement 22
Private citizen 22
Forcible rape, by month, percent of annual total, 1990-1994 24
Robbery:
By month, percent of annual total, 1990-1994 27
Percent distribution, region, 1994 27
Percent distribution, population group. 1994 29
Type of weapons used. 1 994 29
Aggravated assault:
By month, percent of annual total, 1990-1994 32
Type of weapons used, 1 994 32
Property crime total by month, percent of annual total, 1990-1994 36
Burglary, by month, percent of annual total, 1990-1994 39
Larceny-theft:
By month, percent of annual total, 1990-1994 44
Percent distribution, region, 1994 44
Motor vehicle theft:
By month, percent of annual total, 1990-1994 50
Percent distribution, region, 1994 50
Arson, 1994:
Rate, population group 54
Type of property 54
Structures not in use 55
Monetary value of property damaged 55
Offenses cleared by arrest 55
Offenses cleared by arrest of persons under 18 years of age 55
Index of crime:
United States, 1975-1994 58
United States, 1994 59
Regional offense and population distribution, 1994 59
Region, geographic division, and state, 1993-1994 60
State, 1994 68
Metropolitan Statistical Areas. 1994 79
United States, offense analysis, 1990-1994 107
Number of offenses known to the police, 1994:
Cities and towns 10,000 and over in population 108
Universities and colleges 157
Suburban counties 167
Rural counties 25,000 and over in population 183
Crime trends, offenses known to the police, 1993-1994:
Population group 190
Suburban and nonsuburban cities, population group 192
Suburban and nonsuburban counties, population group 193
Offense breakdown, population group 194
Crime rates, offenses known to the police, 1994:
Population group 196
Suburban and nonsuburban cities, population group 198
Suburban and nonsuburban counties, population group 199
Offense breakdown, population group 200
viii
Page
Tables — Continued
Murder, state, type of weapon, 1994 202
Robbery, state, type of weapon, 1994 203
Aggravated assault, state, type of weapon, 1994 204
Offense analysis, 1994, and percent change from 1993 205
Type and value of property stolen and recovered, 1994 205
Section III — Crime Index Offenses Cleared 206
Narrative comments 206
Chart:
Crimes cleared by arrest, 1994 207
Tables:
Offenses known and percent cleared by arrest, 1994:
Population group 208
Geographic region and division 210
Offense breakdown, population group 212
Offenses cleared by arrest of persons under 18 years of age, 1994 214
Section IV — Persons Arrested 216
Narrative comments 216
Tables:
Arrests for drug abuse violations, 1994 216
Total estimated arrests, United States, 1994 217
Arrests, number and rate, 1994:
Region 218
Population group 219
Total arrest trends:
1985-1994 221
Sex, 1985-1994 222
1990-1994 223
Sex, 1990-1994 224
1993-1994 225
Sex, 1993-1994 226
Total arrests, 1994:
Distribution by age 227
Male arrests, distribution by age 229
Female arrests, distribution by age 231
Of persons under 15, 18, 21, and 25 years of age 233
Distribution by sex 234
Distribution by race 235
City arrest trends:
1993-1994 238
Sex, 1993-1994 239
City arrests, 1994:
Distribution by age 240
Of persons under 15, 18, 21, and 25 years of age 242
Distribution by sex 243
Distribution by race 244
Suburban county arrest trends:
1993-1994 247
Sex, 1993-1994 248
Suburban county arrests, 1994:
Distribution by age 249
Of persons under 15, 18, 21, and 25 years of age 251
Distribution by sex 252
Distribution by race 253
ix
Tables — Continued
Rural county arrest trends:
1993-1994
Sex, 1993-1994
Rural county arrests, 1994:
Distribution by age
Of persons under 15, 18, 21, and 25 years of age
Distribution by sex
Distribution by race
Suburban area arrest trends:
1993-1994
Sex, 1993-1994
Suburban area arrests, 1994:
Distribution by age
Of persons under 15, 18, 21, and 25 years of age
Distribution by sex
Distribution by race
Arrests by state, 1994
Police disposition of juvenile offenders taken into custody, 1994
Section V — Topical Studies
Prostitution Arrest Trends
Narrative comments
Tables:
Prostitution Arrests, United States, 1970-1993:
Distribution by sex
Distribution by race
Average Age of Prostitution Arrestees, United States, 1970-1993
Prostitution Arrest Rates by Region, United States, 1993
Charts:
Estimated Number of Prostitution Arrests, United States, 1970-1993:
Total 284
By sex 284
By race 286
Juveniles 286
Child Homicide Victims, 1980-1994 287
Narrative comments 287
Tables:
Age and Sex of Child Homicide Victims, Percent Distribution,
United States, 1980-1994 287
Relationship of Child Homicide Victims to Offenders, Percent
Distribution, United States, 1980-1994 287
Weapons Used Against Child Homicide Victims, Percent Distribution,
United States, 1980-1994 288
Section VI — Law Enforcement Personnel 289
Narrative comments 289
Tables:
Full-time law enforcement employees. October 31, 1994:
Employees, number and rate per 1,000 inhabitants, geographic
region and division by population group 290
Officers, number and rate per 1,000 inhabitants, geographic
region and division by population group 291
Employees, range in rate per 1,000 inhabitants 292
Officers, range in rate per 1,000 inhabitants 293
x
Page
Tables — Continued
Employees, percent male and female 294
Civilian employees, percent of total, population group 294
State law enforcement agencies 295
States 296
Cities 297
Universities and colleges 357
Suburban counties 362
Rural counties 366
Section VII — Appendices 376
Appendix I — Methodology 376
Appendix II — Offenses in Uniform Crime Reporting 383
Appendix III — Uniform Crime Reporting Area Definitions 385
Appendix IV — Directory of State Uniform Crime Reporting Programs 388
Appendix V — National Uniform Crime Reporting Program Directory 394
Appendix VI — Uniform Crime Reporting Publications List 395
XI
SECTION I
Summary of the Uniform Crime Reporting Program
The Uniform Crime Reporting (UCR) Program is a nation-
wide, cooperative statistical effort of over 16,000 city, county,
and state law enforcement agencies voluntarily reporting data
on crimes brought to their attention. During 1994, law enforce-
ment agencies active in the UCR Program represented over
249 million United States inhabitants or 96 percent of the total
population as established by the Bureau of the Census. The
coverage amounted to 97 percent of the United States popula-
tion in Metropolitan Statistical Areas (MSAs), 91 percent of the
population in cities outside metropolitan areas, and 88 percent
of the rural population.
Since 1930, the FBI has administered the Program and
issued periodic assessments of the nature and type of crime in
the Nation. While the Program's primary objective is to gener-
ate a reliable set of criminal statistics for use in law enforce-
ment administration, operation, and management, its data have
over the years become one of the country's leading social
indicators. The American public looks to UCR for information
on fluctuations in the level of crime, while criminologists,
sociologists, legislators, municipal planners, the press, and
other students of criminal justice use the statistics for varied
research and planning purposes.
Historical Background
Recognizing a need for national crime statistics, the Interna-
tional Association of Chiefs of Police (IACP) formed the
Committee on Uniform Crime Records in the 1920s to develop
a system of uniform police 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 geo-
graphic areas of the country, and likelihood of being reported
to law enforcement. After studying state criminal codes and
making an evaluation of the recordkeeping practices in use, the
Committee in 1929 completed a plan for crime reporting which
became the foundation of the UCR Program.
Seven offenses were chosen to serve as an Index for gauging
fluctuations in the overall volume and rate of crime. Known
collectively as the Crime Index, these offenses included the
violent crimes of murder and nonnegligent manslaughter, for-
cible rape, robbery, and aggravated assault and the property
crimes of burglary, larceny-theft, and motor vehicle theft. By
congressional mandate, arson was added as the eighth Index
offense in 1979.
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.
Further, because of the variances in punishment for the same
offenses in different state codes, no distinction between felony
and misdemeanor crimes was possible. To avoid these prob-
lems and provide nationwide uniformity in crime reporting,
standardized offense definitions by which law enforcement
agencies were to submit data, without regard for local statutes,
were formulated. The definitions used by the Program are set
forth in Appendix II of this publication.
In January 1930, 400 cities representing 20 million inhabi-
tants in 43 states began participating in the UCR Program.
Congress enacted Title 28, Section 534, of the United States
Code authorizing the Attorney General to gather crime infor-
mation that same year. The Attorney General, in turn, desig-
nated the FBI to serve as the national clearinghouse for the data
collected. Since that time, data based on uniform classifications
and procedures for reporting have been obtained from the
Nation's law enforcement agencies.
Advisory Groups
Providing vital links between local law enforcement and the
FBI in the conduct of the UCR Program are the IACP and the
National Sheriffs' Association (NSA). The IACP's Committee
on Uniform Crime Records, as it has since the Program began,
represents the thousands of police departments nationwide.
The NSA's Committee on Uniform Crime Reporting, estab-
lished in June 1966, encourages sheriffs throughout the country
to participate fully in the Program. Both committees serve
in advisory capacities concerning the UCR Program's
operation.
To function in an advisory capacity concerning UCR policy
and provide suggestions on UCR data usage, a Data Providers'
Advisory Policy Board (APB) was established in August 1988.
The Board operated until 1993 when a new Board to address all
FBI criminal justice information services was approved. The
new Board will continue the work of the former APB but will
also consider policy issues concerning the National Crime
Information Center and FBI identification services. A UCR
subcommittee of the Board will ensure continuing emphasis on
UCR-related issues.
The Association of State Uniform Crime Reporting
Programs and committees on UCR within individual state law
enforcement associations are also active in promoting interest
in the UCR Program. These organizations foster widespread
and more intelligent use of uniform crime statistics and lend
assistance to contributors when the needs arise.
Redesign of UCR
While throughout the years the UCR Program remained
virtually unchanged in terms of the data collected and dissemi-
nated, a broad utility had evolved for UCR by the 1980s.
Recognizing the need for improved statistics, law enforcement
called for a thorough evaluative study that would modernize
the UCR Program. The FBI fully concurred with the need for
an updated Program and lent its complete support, formulating
a comprehensive three-phase redesign effort. The Bureau of
Justice Statistics (BJS), the Department of Justice agency
responsible for funding criminal justice information projects,
agreed to underwrite the first two phases. Conducted by an
independent contractor, these phases were structured to deter-
mine what, if any, changes should be made to the current
Program. The third phase would involve implementation of the
changes identified. Abt Associates Inc. of Cambridge, Massa-
chusetts, overseen by the FBI, BJS, and a Steering Committee
comprised of prestigious individuals representing a myriad of
disciplines, commenced the first phase in 1982.
During the first phase, the historical evolution of the Pro-
gram was examined. All aspects of the Program, including the
objectives and intended user audience, data items, reporting
mechanisms, quality control, publications and user services,
and relationships with other criminal justice data systems, were
studied.
Early in 1984, a conference on the future of UCR, held in
Elkridge, Maryland, launched the second phase of the study,
which would examine potential futures for UCR and conclude
with a set of recommended changes. Attendees at this confer-
ence reviewed work conducted during the first phase and
discussed the potential changes that should be considered dur-
ing phase two.
Findings from the evaluation's first phase and input on
alternatives for the future were also major topics of discussion
at the seventh National UCR Conference in July 1984. Overlap-
ping phases one and two was a survey of law enforcement
agencies.
Phase two ended in early 1985 with the production of a draft
"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 recommen-
dations for revision. The Committee members, however,
endorsed the report's concepts.
In April 1985, the phase two recommendations were pre-
sented at the eighth National UCR Conference. While various
considerations for the final report were set forth, the overall
concept for the revised Program was unanimously approved.
The joint IACP/NS A Committee on UCR also issued a resolu-
tion endorsing the Blueprint.
The final report, the "Blueprint for the Future of the Uni-
form Crime Reporting Program," was released in the summer
of 1985. It specifically outlined recommendations for an
expanded, improved UCR Program to meet informational
needs into the next century. There were three recommended
areas of enhancement to the UCR Program. First, reporting of
offenses and arrests would be made by means of an incident-
based system. Second, collection of data would be accom-
plished on two levels. Agencies in level one would report
important details about those offenses comprising the current
Crime Index, their victims, and arrestees. Law enforcement
agencies covering populations of over 100,000 and a sampling
of smaller agencies would be included in level two, which
would collect expanded detail on all significant offenses. The
third proposal involved introducing a quality assurance
program.
One of the first actions taken by the FBI to begin implemen-
tation was to award a contract for the development of new
offense definitions and data elements for the redesigned sys-
tem. The work involved: (a) revision of the definitions of
certain Index offenses; (b) identification of additional signifi-
cant offenses to be reported; (c) refining definitions for both;
and (d) development of data elements (incident details) for all
UCR offenses in order to fulfill the requirements of incident-
based reporting versus the current summary reporting.
Concurrent with the preparation of the data elements, the
FBI studied the various state systems to select an experimental
site for implementation of the redesigned Program. In view of
its long-standing incident-based Program and well-established
staff dedicated solely to UCR, the South Carolina Law En-
forcement Division (SLED) was chosen. The SLED agreed to
adapt its existing system to meet the requirements of the
redesigned Program and collect data on both offenses and
arrests relating to the newly defined offenses.
To assist SLED in conducting the pilot project, offense
definitions and data elements developed under the private con-
tract were put at the staff's disposal. Also, FBI automated data
processing personnel developed "Automated Data Capture
Specifications" for use in adapting the state's data processing
procedures to incorporate the revised system. The BJS supplied
funding to facilitate software revisions needed at the state level.
Testing of the new Program was completed in late 1987.
Following the completion of the pilot project conducted by
SLED, the FBI produced a draft set of guidelines for an
enhanced UCR Program. Law enforcement executives from
around the country were then invited to a conference in Orange
Beach, Alabama, where the guidelines were presented for final
review.
During the conference, three overall endorsements were
passed without dissent. First, that there be established a new,
incident-based national crime reporting system; second, that
the FBI manage this Program; and third, that an Advisory
Policy Board composed of law enforcement executives be
formed to assist in the direction and implementation of the new
Program.
Information about the redesigned UCR Program, called the
National Incident-Based Reporting System, or NIBRS, is con-
tained in four documents produced subsequent to the Orange
Beach Conference. Volume 1, Data Collection Guidelines, con-
tains a system overview and descriptions of the offenses,
offense codes, reports, data elements, and data values used in
the system. Volume 2, Data Submission Specifications, is for
the use of state and local systems personnel who are respon-
sible for preparing magnetic tapes/floppy disks/etc, for sub-
mission to the FBI. Volume 3, Approaches to Implementing an
Incident-Based Reporting (IBR) System, is for use by computer
programmers, analysts, etc., responsible for developing a state
or local IBR system which will meet N1BRS' reporting
requirements. Volume 4, Error Message Manual, contains des-
ignations of mandatory and optional data elements, data ele-
ment edits and error messages.
A NIBRS edition of the UCR Handbook has been produced
to assist law enforcement agency data contributors implement-
ing NIBRS within their departments. This document is geared
toward familiarizing local and state law enforcement personnel
with the definitions, policies, and procedures of NIBRS. It does
not contain the technical coding and data transmission require-
ments presented in Volumes 1 through 4.
NIBRS will collect 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 will be gathered when available. The
goal of the redesign is to modernize crime information by
collecting data presently maintained in law enforcement
records; the enhanced UCR Program is, therefore, a by-product
of current records systems. The integrity of UCR's long-
running statistical series will, of course, be maintained.
It became apparent during the development of the prototype
system that the level one and level two reporting proposed in
the "Blueprint" may not be the most practical approach. Many
state and local law enforcement administrators indicated that
the collection of data on all pertinent offenses could be handled
with more ease than could the extraction of selected ones.
While "Limited" participation, equivalent to the "Blueprint's"
level one, will remain an option, it appears that most reporting
jurisdictions, upon implementation, will go immediately to
"Full" participation, meeting all NIBRS data submission
requirements.
The implementation of NIBRS will be at a pace commen-
surate with the resources, abilities, and limitations of the con-
tributing law enforcement agencies. The FBI was able to
accept NIBRS data as of January 1989, and nine state-level
UCR Programs (Colorado, Idaho, Iowa, Massachusetts, North
Dakota, South Carolina, Utah, Vermont, and Virginia) are now
supplying data in the NIBRS format. An additional 20 state
agencies and two federal agencies (the Department of Com-
merce and the FBI) have submitted test tapes or disks contain-
ing the expanded data. Fourteen other state agencies, agencies
in the District of Columbia and Guam, and one federal agency
(the Department of Defense) are in various stages of planning
and development. Test tapes from four of these states, the
District of Columbia, and Guam are expected during 1995.
Recent Developments
Board, established in December 1994, is composed of 29
representatives of criminal justice agencies throughout the
Nation. The Board is responsible for reviewing policy issues,
UCR reports, and appropriate technical/operational issues
related to CJIS systems; and for making appropriate recom-
mendations to the Director of the FBI. Five working groups
review operational and technical issues related to CJIS
systems/policies and also make appropriate recommendations
to the Board. The Board has four subcommittees: the UCR
Subcommittee, the NCIC Subcommittee, the Identification
Services Subcommittee, and the Sanctions Subcommittee.
Through the CJIS Board and in cooperation with the Interna-
tional Association of Chiefs of Police, the National Sheriffs'
Association, and the Association of State Uniform Crime
Reporting Programs, the UCR Program continues to be refined
so as to be more responsive to users.
UCR SUBCOMMITTEE — The UCR Subcommittee of the
CJIS Advisory Policy Board met for the first time in June 1995.
Among the topics addressed by the Subcommittee was the
status of NIBRS reporting. Specifically, the group will further
study the overall cost effectiveness of NIBRS reporting and the
direction it should take.
CRIME ACT — The Violent Crime Control and Law En-
forcement Act of 1994 (Crime Act) contains the following
provisions for stalking, domestic violence, gang violence, and
hate crime that will affect the UCR Program:
National Stalker and Domestic Violence Reduction —
Designates the Attorney General, in accordance with States, to
compile data regarding domestic violence and intimidation
(including stalking) as part of the National Incident-Based
Reporting System (NIBRS). In NIBRS, stalking is included
under the offense of intimidation, and domestic violence is
captured through the reporting of the relationships of victims to
offenders who have perpetrated robberies or crimes against
persons, e.g., homicide, assault, kidnaping/abduction, sex
offenses. Currently, the various state laws are being reviewed
regarding these issues.
Gang Violence — The Crime Act states that the FBI shall
collect information on incidents of gang violence for inclusion
in an annual report. Currently, possible methods for collecting
this information are being considered.
Hate Crime Statistics Act — The Crime Act amended the
Hate Crime Statistics Act to include crimes against the dis-
abled. Specifically, the first section of the Act is amended by
inserting "disability" after the word "religion." Definitions
for "disability bias," "disabled," and related terms are cur-
rently being developed.
CRIMINAL JUSTICE INFORMATION SERVICES (CJIS)
ADVISORY POLICY BOARD — The CJIS Advisory Policy
CHART 2.1
CRIME CLOCK
1994
one
VIOLENT CRIME
every 1 7 seconds
one
CRIME INDEX OFFENSE
every 2 seconds
one
PROPERTY CRIME
every 3 seconds
The Crime Clock should be viewed with
care. Beins the most aggregate
representation of UCR data, it is designed
to convey the annual reported crime
experience by showing the relative
frequency of occurrence of the Index
Offenses. This mode of display should not
be taken to imply a regularity in the
commission of the Part I Offenses; rather, it
represents the annual ratio of crime to
fixed time intervals.
one
MURDER
every 23 minutes
one
FORCIBLE RAPE
every 5 minutes
one
ROBBERY
every 51 seconds
one
1 AGGRAVATED ASSAULT
every 28 seconds
one
BURGLARY
every 1 2 seconds
one
LARCENY-THEFT
every 4 seconds
one
MOTOR VEHICLE THEFT
every 20 seconds
SECTION II
Crime Index Offenses Reported
CRIME INDEX TOTAL
DEFINITION
The Crime Index is composed of selected offenses used to gauge fluctuations in the overall
volume and rate of crime reported to law enforcement. The offenses included are the violent crimes
of murder and nonnegligent manslaughter, forcible rape, robbery, and aggravated assault and the
property crimes of burglary, larceny-theft, motor vehicle theft, and arson.
TREND
Rate per 100,000
Year
Number of offenses'
inhabitants1
1993
14,144,794
5,484.4
1994
13,991,675
5,374.4
Percent change
-1.1
-2.0
'Does not include arson. See page 57.
The Crime Index total dropped 1 percent to less than 14
million offenses in 1994, the third consecutive year of decline.
A 2-percent decrease reported in the Nation's cities collec-
tively was accounted for by the largest cities, those with popu-
lations over 25,000. Within this group, the largest decrease, 7
percent, was reported in cities having a million or more
inhabitants.
The smallest cities in the country, those with populations
under 25,000, collectively recorded a 1-percent increase.
Serious crime also increased in the Nation's counties. It was up
2 percent in the rural counties and 1 percent in the suburban
counties.
Five- and 10-year percent changes showed the 1994 national
total was 3 percent lower than the 1990 level but 13 percent
higher than in 1985.
Geographically, the largest volume of Crime Index offenses
was reported in the most populous Southern States, which
accounted for 38 percent of the total. Following were the
Western States with 25 percent, the Midwestern States with 21
percent, and the Northeastern States with 16 percent. The
Northeast and South showed Crime Index decreases of 6 and 1
percent, respectively, during 1994 as compared to 1993. In the
West, the 1994 Index total showed virtually no change from the
1993 level, while the Midwest's total was up 1 percent. (See
Table 4.)
As in previous years, Crime Index offenses occurred most
frequently in August and least often in February.
Table 2.1— Crime Index Total by Month, 1990-1994
[Percent distribution]
January . .
February . .
March ....
April
May
June
July
August. . . .
September .
October . . .
November .
December
7.4
8.2
7.9
8.3
8.3
8.9
9 1
8.4
8.7
7.9
7.4
8.1
8.0
8.4
8.5
9.1
9.2
8.4
8.7
8.0
8.3
8.3
7.8
8.2
8.0
8.3
8.4
9.0
9.0
8.4
8.5
8.0
8.1
8.0
6.9
8.1
7.9
8.2
8.6
9.1
9.2
8.4
8.6
8.1
9.1
7.6
7.1
8.2
8.1
8.5
8.5
9.1
9.4
8.5
8.8
8.3
7.9
Rate
Crime rates relate the incidence of crime to population. In
1994, there were an estimated 5,374 Crime Index offenses for
each 100,000 in United States population. The Crime Index rate
was highest in the Nation's metropolitan areas and lowest in
the rural counties. (See Table 2.) The national 1994 Crime
Index rate fell 2 percent from 1993 and 8 percent from the 1990
level. It was 3 percent above the 1985 rate.
Regionally, the Crime Index rates ranged from 6,152 in the
West to 4,344 in the Northeast. Two-year percent changes
(1994 versus 1993) showed declines of 6 percent in the North-
east; 2 percent in the South; and 1 percent in the West. Virtually
no change was reported in the Midwest. (See Table 4.)
Nature
The Crime Index is composed of violent and property crime
categories, and in 1994, 13 percent of the Index offenses
reported to law enforcement were violent crimes and 87 per-
cent, property crimes. Larceny-theft was the offense with the
highest volume, while murder accounted for the fewest
offenses. (See Chart 2.4.)
Property estimated in value at $15.6 billion was stolen in
connection with all Crime Index offenses, with the largest
losses due to thefts of motor vehicles; jewelry and precious
metals; and televisions, radios, stereos, etc. Law enforcement
agencies nationwide recorded a 34-percent recovery rate for
dollar losses in connection with stolen property. The highest
recovery percentages were for stolen motor vehicles, livestock,
consumable goods, clothing and furs, and firearms. (See Table
24.)
Law Enforcement Response
Law enforcement agencies nationwide recorded a 21-percent
clearance rate for the collective Crime Index offenses in 1994
and made an estimated 2.9 million arrests for Index crimes.
Crimes can be cleared by arrest or by exceptional means when
some element beyond law enforcement control precludes the
placing of formal charges against the offender. The arrest of
one person may clear several crimes, or several persons may be
arrested in connection with the clearance of one offense.
The Index clearance rate has remained relatively stable
throughout the past 10-year period. As in 1994, the clearance
rate was 21 percent in 1985; it was 22 percent in 1990.
The number of persons arrested for Index crimes increased 1
percent in 1994 when compared to 1993. Juvenile arrests for
Index crimes increased 6 percent, while those of adults were
down 1 percent. Arrests of females increased 4 percent for the
2-year period, while those of males showed virtually no
change. (See Tables 36 and 37.)
Between 1993 and 1994, the number of persons arrested for
the individual offenses comprising the Index increased for
arson, 5 percent; aggravated assault, 3 percent; and larceny-
theft, 2 percent. Arrest volumes for the remaining Index
offenses decreased during the same 2-year period. The declines
were 6 percent for murder and forcible rape; 4 percent for
burglary; 2 percent for robbery; and 1 percent for motor vehicle
theft.
As in past years, larceny-theft accounted for the highest
volume of Crime Index arrests at 1.5 million. (See Table 29.)
CRIME INDEX TOTAL
CHART 2.2
PERCENT CHANGE from 1990
Number of
Offenses Known -
Down 3.3%
Rate per 100,000
Inhabitants -
Down 7.7%
1990
1991
1992
1993
1994
CHART 2.3
CRIME INDEX OFFENSES
1994
Percent Distribution
Forcible
Rape
.7%
Murder
>.2%
Aggravated
Assault
8.0%
Robbery
4.4%
Motor
Vehicle
Theft
11.0%
Larceny-Theft
56.3%
Burglary
19.4%
CHART 2.4
REGIONAL VIOLENT
and PROPERTY CRIME RATES
1994
per 100,000 inhabitants
II Property Crime Rate
Violent Crime Rate
VIOLENT CRIME TOTAL
DEFINITION
Violent crime is composed of four offenses: murder and nonnegligent manslaughter, forcible rape,
robbery, and aggravated assault. All violent crimes involve force or threat of force.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
1,926,017
746.8
1994
1,864,168
716.0
Percent change
-3.2
-4.1
10
The number of violent crimes reported to law enforcement
during 1994 dropped below 1.9 million offenses for the first
annual period since 1990. The 1994 total was down 3 percent
from 1993, but was 2 percent above the 1990 level and 40
percent above that of 1985. From 1993 to 1994, the Nation's
cities recorded a 4-percent decrease in violent crime, while
suburban counties experienced virtually no change and rural
counties, a 4-percent increase.
Regionally, the South, the most populous region, accounted
for 37 percent of all violent crimes reported to law enforce-
ment in 1994. Lesser volumes of 25 percent for the West, 20
percent for the Midwest, and 18 percent for the Northeast were
recorded. While the Midwest experienced virtually no change
in the number of violent crimes reported from 1993 to 1994, the
other three regions recorded decreases. The Northeast regis-
tered a 7-percent decline, and both the South and the West,
3-percent decreases. (See Table 4.)
Violent crimes occurred most frequently in August. The
lowest total was experienced in the month of February.
Table 2.2— Violent Crime Total by Month, 1990-1994
[Percent distribution]
Months
January
February . -
March - .
April
May
June
July
August. . . .
September -
October . . .
November
December .
7.9
69
7.8
7.8
8.5
8.8
9.5
9.1
8.8
8.5
7 9
8.4
7.6
7.0
7.8
78
86
8.7
9.2
9.5
8.0
8.2
8.0
7.6
8.1
8.3
8.7
8.5
9.0
8.9
8.5
8.6
7.8
8,0
8.0
6.7
8.2
8.0
8.4
8.7
9.3
9,1
8.4
8.6
7.8
8.9
7.7
7.3
8.4
8.3
8.5
8.6
9 1
9.2
8.6
8.7
7.8
7.6
Rate
A violent crime rate of 716 per 100,000 inhabitants was
registered nationally in 1994. Two- and 5-year trends showed
the 1994 rate was 4 percent lower than in 1993 and 2 percent
below the 1990 rate. It was, however, 29 percent above the 1985
figure. The 1994 violent crime rate was highest in the Nation's
metropolitan areas, which collectively registered 812 offenses
per 100,000 population. The rate in cities outside metropolitan
areas was 500, and for rural counties, it was 237.
The Western States registered the highest overall violent
crime rate per 100,000 inhabitants, 805, and the Midwestern
States the lowest, 601. Among the geographic regions, the
Northeast experienced a rate decline of 7 percent; the West, 5
percent; the South, 4 percent, and the Midwest, 1 percent. (See
Table 4.)
Nature
Aggravated assaults accounted for 60 percent of the violent
crimes reported to law enforcement during 1994. Robberies
comprised 33 percent; forcible rapes, 5 percent; and murders, 1
percent.
While data concerning weapons used in connection with
forcible rape are not collected, firearms were the weapons used
in 31 percent of all murders, robberies, and aggravated assaults,
collectively, in 1994. Knives or cutting instruments were used
in 15 percent; other dangerous weapons in 24 percent; and
personal weapons (hands, fists, feet, etc.) in 31 percent. The
proportion of violent crimes committed with firearms has
remained relatively constant in recent years. During the past 5
years, the proportions ranged from 29 percent in 1990 to 32
percent in 1993.
Law Enforcement Response
The overall violent crime clearance rate was 45 percent in
1994. The rate varied little from the 1993 rate of 44 percent and
equalled the 1992 rate of 45 percent. Among the violent
offenses, the 1994 clearance rates ranged from 64 percent for
murder to 24 percent for robbery. Over half of all forcible rapes
and aggravated assaults were cleared.
There were an estimated 778,730 persons arrested for vio-
lent crimes in 1994. Violent crime arrests accounted for 5
percent of the arrests for all offenses and 27 percent of those
for Index crimes. Males made up 86 percent of all violent
crime arrestees; whites, 53 percent; and adults, 81 percent. (See
Tables 38, 42, and 43.)
Total arrests for violent crimes rose 1 percent from 1993 to
1994. Juvenile arrests (under age 18) increased 7 percent, while
adult arrests showed virtually no change. Similar to the
national experience, overall violent crime arrests rose 1 percent
in the Nation's cities. A 2-percent rise was recorded in subur-
ban counties, while the rural counties showed virtually no
change from 1993 to 1994. (See Section IV, Persons Arrested.)
11
VIOLENT CRIME
CHART 2.5
PERCENT CHANGE from 1990
Percent
Number of
Offenses Known -
Up 2.4%
Rate per 100,000
Inhabitants -
Down 2.2%
-1
1990
1991
1992
1993
1994
12
MURDER AND NONNEGLIGENT MANSLAUGHTER
DEFINITION
Murder and nonnegligent manslaughter, as defined in the Uniform Crime Reporting Program, is
the willful (nonnegligent) killing of one human being by another.
The classification of this offense, as for all other Crime Index offenses, is based solely on police
investigation as opposed to the determination of a court, medical examiner, coroner, jury, or other
judicial body. Not included in the count for this offense classification are deaths caused by
negligence, suicide, or accident; justifiable homicides; and attempts to murder or assaults to murder,
which are scored as aggravated assaults.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
24,526
9.5
1994
23,305
9.0
Percent change
-5.0
-5.3
13
The number of persons murdered in 1994 was estimated at
23,305, the lowest total since 1989. The 1994 total was 5
percent lower than the 1993 count and 1 percent below the 1990
total. It was, however, 23 percent above the 1985 level. (See
Table 1.)
Monthly figures show that more persons were murdered in
the month of August in 1994, while the fewest were killed in
February. (See Table 2.3.)
The suburban counties recorded a 2-percent decrease in their
murder volumes and the rural counties, a 10-percent decline in
1994 from 1993. In the Nation's cities overall, murder
decreased 5 percent for the 2-year period. The greatest
decrease — 12 percent — was registered in cities with popula-
tions of 500,000 to 999,999.
When viewing the four regions of the Nation, the Southern
States, the most populous region, accounted for 42 percent of
the murders. The Western States reported 23 percent; the Mid-
western States, 20 percent; and the Northeastern States, 16
percent. All the regions showed declines in the number of
murders reported from 1993 to 1994. The Northeast experi-
enced a 13-percent decrease, the South and West each showed
4-percent declines, and the Midwest showed the smallest
decline, 1 percent. (See Table 4.)
Table 2.3— Murder by Month, 1990-1994
[Percent distribution]
Months
January . . -
February - .
March ....
April
May
June
July
August. .
September .
October . . .
November
December .
7.9
7.0
8.0
7.4
8.1
8.4
9.6
9.3
9.2
8.0
7.0
7.7
7.8
8.1
8.6
9.1
9.4
8.8
8.6
7.8
9.0
8.1
7.5
8.2
8.0
8.5
7.9
9.1
9.1
8.7
8.0
8.1
1993
8.1
6.7
7.9
7.6
7.8
8.6
9.3
9.2
8.3
8.4
8.2
9.8
1994
8.1
8.2
8.3
9.0
9.2
8.3
8.5
7.9
8.0
Rate
Down 5 percent from 1993, the national murder rate in 1994
was 9 per 100,000 inhabitants. Five- and 10-year trends showed
the 1994 rate was 4 percent lower than in 1990 but 14 percent
above the 1985 rate.
On a regional basis, the South averaged 11 murders per
100,000 people; the West, 9 per 100,000; the Midwest, 8 per
100,000; and the Northeast, 7 per 100,000. Compared to 1993,
murder rates in 1994 declined in all of the four geographic
regions, with the Northeast experiencing the largest change, a
decrease of 13 percent. (See Table 4.)
The Nation's metropolitan areas reported a 1994 murder rate
of 10 victims per 100,000 inhabitants. In the rural counties and
in cities outside metropolitan areas, the rate was 5 per 100,000.
Nature
Supplemental data were provided by contributing agencies
for 22,076 of the estimated 23,305 murders in 1994. Submitted
monthly, the data consist of the age, sex, and race of both
victims and offenders; the types of weapons used; the relation-
ships of victims to the offenders; and the circumstances sur-
rounding the murders.
Based on this information, 79 percent of the murder victims
in 1994 were males; and 88 percent were persons 18 years of
age or older. Forty-seven percent were aged 20 through 34.
Considering victims for whom race was known, 51 percent
were black, 47 percent were white, and the remainder were
persons of other races.
Table 2.4 — Murder Victims by Race and Sex, 1994
Race of Victims
Sex of Victims
Total
Male
Female
Unknown
10.191
11,221
498
166
7.609
9,226
373
101
2.582
1,995
125
37
Total Unknown Race
28
22.076
17,309
4,739
28
'Total murder victims for whom supplemental data were received.
Supplemental data were also reported for 25,052 murder
offenders in 1994. Of those for whom sex and age were
reported, 91 percent of the offenders were males, and 84 per-
cent were persons 18 years of age or older. Sixty-nine percent
were aged 17 through 34. Of offenders for whom race was
known, 56 percent were black, 42 percent were white, and the
remainder were persons of other races.
Murder is most often intraracial among victims and
offenders. In 1994, data based on incidents involving one
victim and one offender showed that 94 percent of the black
murder victims were slain by black offenders, and 84 percent
of the white murder victims were killed by white offenders.
Likewise, males were most often slain by males (88 percent in
single victim/single offender situations). These same data
showed, however, that 9 of every 10 female victims were
murdered by males.
14
MURDER
CHART 2.6
PERCENT CHANGE from 1990
Number of
Offenses Known -
Down 0.6%
Rate per 100,000
Inhabitants -
Down 4.3%
1990
1991
1992
1993
1994
15
Table 2.5 — Age, Sex, and Race of Murder Victims, 1994
Total
Sex
Race
Age
Male
Female
Unknown
White
Black
Other
Unknown
Total
22.076
100.0
17.309
78.4
4.739
21.5
28
.1
10.191
46.2
11.221
50.8
498
2.3
166
.8
Under 18'
2.521
5.944
19.169
1.847
4.853
15,178
674
1.090
3,987
1
4
1.115
2.361
8.891
1,311
3,395
9,768
84
153
409
11
Under 221
35
101
257
470
103
120
944
2.308
4.088
3,233
2.917
2.249
1,565
1.007
681
444
342
284
244
434
386
150
263
46
60
770
2.052
3.514
2,626
2.209
1,687
1.236
773
520
331
252
182
145
209
284
107
207
57
60
174
255
574
605
708
562
329
234
160
113
90
102
99
225
78
150
241
56
62
375
844
1.534
1.354
1,387
1,087
781
568
427
287
233
172
152
296
185
97
214
44
52
527
1,390
2,470
1,807
1,451
1.109
719
400
230
141
102
106
87
133
142
7
13
3
6
39
57
64
61
62
47
55
33
18
11
6
4
4
3
5
3
1 to 4
5 to 8
2
9 to 12
3
17 to 19
1
2
1
17
20 to 24
20
25 to 29
11
30 to 34 .
17
35 to 39
6
10
6
50 to 54
6
5
24
1
65 to 69
2
70 to 74
1
~>
Unknown
54
'Does not include unknown ages.
'Does not include unknown ages.
Table 2.6— Age, Sex, and Race of Murder Offenders, 1994
Total
Sex
Race
Age
Male
Female
Unknown
White
Black
Other
Unknown
Total
25.052
100.0
16,342
65.2
1,686
6.7
7.024
28.0
7.532
30.1
9.906
39.5
376
1.5
7.238
28.9
Under 18'
2,664
6.818
13,604
2.512
6,443
12,112
147
367
1,481
5
8
11
949
2,435
6.150
1,620
4.188
7,089
79
155
285
16
Under 22'
40
80
1
38
1,540
3.367
3.901
2,295
1.680
1,226
828
555
303
176
129
93
65
71
8,784
1
30
1,435
3,222
3,600
1.985
1.434
1,006
702
478
257
158
109
82
60
65
1,718
1
23
941
2,064
2.377
1.187
774
512
341
206
118
59
46
22
20
18
1,197
8
101
144
297
308
245
219
125
77
45
18
20
11
5
5
58
15
536
1,213
1.431
1.035
864
676
464
332
175
115
79
69
43
52
433
13 to 16
4
1
4
2
1
1
1
1
52
73
69
57
33
34
16
14
7
2
3
2
2
12
11
17 to 19
17
20 to 24
24
25 to 29
16
30 to 34
9
35 to 39 .
4
7
45 to 49
3
50 to 54
3
55 to 59
60 to 64
1
65 to 69
70 to 74
1
7,008
1
Unknown
7,142
16
As in previous years, firearms were the weapons used in
approximately 7 of every 10 murders committed in the Nation.
Of those murders for which weapons were reported, 58 percent
were by handguns, 4 percent by shotguns, and 3 percent by
rifles. Other or unknown types of firearms accounted for
another 5 percent of the total murders. Among the remaining
weapons, cutting or stabbing instruments were employed in 13
percent of the murders; blunt objects (clubs, hammers, etc.) in
4 percent; personal weapons (hands, fists, feet, etc.) in 5 per-
cent; and other dangerous weapons, such as poison, explosives,
etc., in the remainder. (See Table 2.10.) A state-by-state break-
down of weapons used in connection with murder is shown in
Table 20.
Table 2.7— Victim/Offender Relationship by Age,1 1994
[Single Victim/Single Offender]
Age of Victim
Age of Offender
Total
Under 18
18 and over
Unknown
Total
11.173
1.179
9.185
809
Under 18
1,332
379
889
64
9,726
794
8.210
722
Unknown
115
6
86
23
'Data based on 11.133 incidents.
Table 2.8— Victim/Offender Relationship by Race and Sex,1 1994
[Single Victim/Single Offender]
Total
Race of Offender
Sex of Offender
Race of Victim
White
Black
Other
Unknown
Male
Female
Unknown
White Victims
5.371
4,445
790
81
55
4.810
506
55
Black Victims
5.527
337
5.106
11
73
4.737
717
73
Other Race Victims
223
67
25
125
6
194
23
6
Unknown Race
52
19
12
3
18
30
4
18
Total
Race of Offender
Sex of Offender
Sex of Victim
White
Black
Other
Unknown
Male
Female
Unknown
Male Victims
8.320
3,419
4,641
156
104
7.249
967
104
Female Victims
2.801
1,430
1,280
61
30
2.492
279
30
Unknown Sex
52
19
12
3
18
30
4
18
'Data based on 11.133 incidents.
Historical statistics on relationships of victims to offenders
showed that the majority of murder victims knew their killers.
However, in the last few years (1991 through 1994) the relation-
ship percentages have changed. In 1994, less than half of
murder victims were related to (12 percent) or acquainted with
(35 percent) their assailants. Thirteen percent of the victims
were murdered by strangers, while the relationships among
victims and offenders were unknown for 40 percent of the
murders. Among all female murder victims in 1994, 28 percent
were slain by husbands or boyfriends. Three percent of the
male victims were killed by wives or girlfriends.
Considering circumstances, arguments resulted in 28 percent
of the murders during the year. Eighteen percent occurred as a
result of felonious activities such as robbery, arson, etc., while
another 1 percent were suspected to have been the result of
some felonious activity. Five percent were juvenile gang kill-
ings, which were up 70 percent over the past 5 years. Table 2.14
shows murder circumstances for the past 5 years.
17
Table 2.9— Murder, Type of Weapons Used, 1994
[Percent distribution by region]
Table 2.10— Murder Victims, Type of Weapons Used, 1990-1994
Knives
Unknown
Personal
Total
or
or other
weapons
Region
all
Firearms
cutting
danger-
(hands.
weapons'
instru-
ous wea-
fists, feel.
ments
pons
etc.)
Total
100.0
70.0
12.7
12.0
5.3
Northeastern States
1 00.0
65.9
14.9
12.2
6.9
Midwestern States
100.0
68.5
12.4
13.7
5.4
100.0
70.9
12.2
12.2
47
Western States
100.0
72.4
12.3
10.2
5 1
Weapons
Total .
'Because of rounding, percentages may not add to totals.
Total Firearms
Handguns
Ritles
Shotguns
Other guns
Firearms-not stated
Knives or cutting
instruments
Blunt objects (clubs,
hammers, etc.)
Personal weapons (hands,
fists, feet, etc.)1
Poison
Explosives
Fire
Narcotics
Drowning
Strangulation
Asphyxiation
Other weapons or weapons
not stated
20.273
13,035
10,099
746
1.245
25
920
3,526
1.119
II
13
288
29
36
312
96
723
21.676
14.373
11.497
745
1.124
30
977
3,430
1.099
1,202
12
16
195
22
40
327
113
22.716
15.489
12,580
706
I. Ill
42
1,050
3,296
1,040
1,131
13
19
203
24
29
314
115
1.043
23.180
16,136
13,212
757
1 .057
37
1,073
2,967
1,022
1,151
9
23
217
22
23
331
III
'Pushed is included in personal weapons.
Table 2.11 — Murder Victims, Type of Weapons Used, 1994
Total
Weapons
Age
Fire-
arms
Knives or
cutting
instru-
ments
Blum
objecls
(clubs, ham-
mers, etc.)
Personal '
weapons
(hands.
fists, feet,
etc i
Poison
Explo-
sives
Fire
Narcotics
Strangu-
lation
Asphyxia-
tion
Other2
weapon or
weapon not
stated
Total
22,076
100.0
15,456
70.0
2.801
12.7
912
4.1
1,165
5.3
10
10
196
,9
22
1
287
1 3
113
.5
1.104
5.0
Under 1 84
2.521
5.944
19.169
1.512
4.434
13.734
174
426
2,582
65
122
823
430
473
710
6
6
4
3
3
7
65
71
125
1
5
20
27
51
247
46
49
66
192
Under 224
304
851
Infant (under 1)
1 to 4
257
471)
103
120
944
2.308
4.088
3.233
2.917
2.249
1.565
1,007
681
444
342
284
244
434
386
10
51
36
70
795
2,013
3,399
2,479
2.071
1,468
1.005
640
412
265
185
127
106
114
210
6
16
14
16
85
157
363
389
415
372
237
156
139
87
75
69
58
102
45
10
24
6
4
15
27
73
89
116
136
90
71
41
32
34
33
22
65
24
132
251
19
10
10
26
71
81
118
103
91
61
21
24
15
18
18
71
25
3
1
1
1
1
2
4
37
11
7
4
5
11
15
18
9
18
8
11
T
2
6
5
17
6
4
9
3
3
5
16
25
34
43
37
22
16
9
8
7
9
10
14
13
25
16
2
3
9
9
6
7
9
4
4
4
3
4
2
4
1
62
1
62
5 to 8. ..
II
9 to 1 2
9
13 to 16
27
17 to 19
4
3
1
2
3
2
63
20 to 24. .
1
132
25 to 29
1
133
30 to 34
1
2
1
2
128
35 to 39
113
40 to 44. . .
2
1
88
45 to 49
48
50 to 54
41
55 to 59
60 to 64
1
21
21
65 to 69
2
1
1
1
16
70 to 74
22
46
61
'Pushed is included in personal weapons
includes drownings.
^Because of rounding, percentages may not add to totals.
4Does not include unknown ages.
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Table 2.14— Murder Circumstances, 1990-1994
Table 2.15 — Murder Circumstances by Victim Sex, 1994
Circumstances
Total1
Felony type total:
Rape
Robbery
Burglary
Larceny-theft
Motor vehicle theft
Arson
Prostitution and
commercialized vice .
Other sex offenses
Narcotic drug laws
Gambling
Other - not specified - .
Suspected felony type
Other than felony type
total:
Romantic triangle
Child killed by
babysitter
Brawl due to influence of
alcohol
Brawl due to influence of
narcotics
Argument over money or
property
Other arguments
Gangland killings
Juvenile gang killings
Institutional killings
Sniper attack
Other - not specified
Unknown .
1990
20.273
4.209
152
1.871
202
28
55
152
27
50
1,367
II
294
148
10.889
407
242
514
6,044
104
679
16
41
2.275
5.027
1991
21.676
4.636
132
2,226
197
32
53
138
20
47
1,353
33
405
210
11,220
314
254
520
6.108
206
840
19
12
2.415
5.610
1992
22.716
4,917
138
2.266
212
41
66
148
32
34
1.302
20
658
280
11.244
334
36
429
253
483
6,066
137
813
18
33
2,642
6.275
23.180
4,461
115
2.305
179
31
61
154
18
28
1,295
10
265
145
12,210
440
34
383
261
445
6.289
142
1.145
15
7
3.049
6.364
22.076
4.071
78
2,072
158
30
53
132
14
41
1,239
12
242
136
11,675
371
316
211
387
5,812
III
1.157
14
2
3,272
6.194
'Total number of murder victims for whom supplemental homicide information was received.
Circumstances
Total1
Felony type total:
Rape
Robbery.
Burglary
Larceny-theft
Motor vehicle theft ...
Arson
Prostitution and
commercialized vice
Other sex offenses ....
Narcotic drug laws ...
Gambling
Other - not specified. . .
Suspected felony type.
Other than felony type
total:
Romantic triangle
Child killed by
babysitter
Brawl due to influence of
alcohol
Brawl due to influence of
narcotics
Argument over money or
property
Other arguments
Gangland killings
Juvenile gang killings
Institutional killings
Sniper attack
Other - not specified
Unknown .
Total
Murder
Victims'
22.076
4.071
78
2,072
158
30
53
132
14
41
1,239
12
242
136
1 1 ,675
371
22
316
211
387
5,812
111
1,157
14
2
3,272
6,194
17,309
3,329
4
1,770
103
23
51
70
5
22
1.116
12
153
93
8,940
229
16
281
183
343
4,438
104
1.105
12
1
2,228
4.947
Female
4.739
742
74
302
55
7
2
62
9
19
123
89
43
2,773
142
6
35
28
43
1,373
7
52
2
1
1.044
1,221
Unknown
26
'Total number of murder victims for whom supplemental homicide information was received.
21
Law Enforcement Response
Justifiable Homicide
The clearance rate for murder is higher than for any other
Crime Index offense. Law enforcement agencies nationwide
recorded a 64-percent clearance rate for 1994 as compared to
66 percent in 1993. Eighty percent of murders in rural counties,
68 percent of those in suburban counties, and 63 percent in the
Nation's cities were cleared in 1994. Among the city population
groups, those with populations under 10,000 reported the most
successful clearance rate, 75 percent. (See Table 25.)
Geographically, the South, the region with the highest mur-
der count, also registered the highest murder clearance rate, 71
percent. Following were the Northeastern States with 68 per-
cent, the Western States with 60 percent, and the Midwestern
States with 53 percent.
The proportion of juvenile involvement, as measured by
clearances, was lower for murder than for any other Index
crime. Persons under 18 years of age accounted for 11 percent
of the willful killings cleared by law enforcement nationally in
1994. Only persons in this young age group accounted for 11
percent of clearances in the Nation's cities, 9 percent of those
in the suburban counties, and 8 percent of the rural county
clearances.
Law enforcement agencies made an estimated 22,100 arrests
for murder in 1994. Fifty-eight percent of the arrestees in 1994
were under 25 years of age, with the 18- to 24-year age group
accounting for 41 percent of the total. (See Table 38.)
Ninety percent of those arrested for murder in 1994 were
males and 10 percent, females. Blacks comprised 56 percent of
the total; whites, 42 percent; and the remainder, other races.
Compared to the 1993 levels, the 1994 murder arrest total
and the number of persons aged 18 and over arrested for
murder decreased 6 percent. During the same 2-year period,
arrests of juveniles also declined, 3 percent, and female arrests
were down 1 percent. Arrests of males for murder increased 6
percent.
Long-term trends indicate the 1994 murder arrest total was 6
percent below the 1990 level but 23 percent higher than the
1985 figure.
Certain willful killings are classified as justifiable or excus-
able, based on law enforcement investigation. In Uniform
Crime Reporting, justifiable homicide is defined as and limited
to the killing of a felon by a law enforcement officer in the line
of duty, or the killing of a felon, during the commission of a
felony, by a private citizen. These offenses are tabulated inde-
pendently and are not included in the murder counts.
The 1994 justifiable homicide total was 816, up slightly from
the 1993 total of 812. Compared to the 1990 count of 713,
however, the 1994 total was up 14 percent. In 1994, 463 of
justifiable homicides involved law enforcement officers and
353 were by private citizens. Handguns were the weapons used
most often. (See Tables 2.16 and 2.17.)
Table 2.16 — Justifiable Homicide by Weapon, Law Enforcement,1
1990-1994
Knives
or
Firearms
other
Other
Tolal
lype
cutting
danger-
fire-
Hand-
Shot-
not
instru-
ous
Personal
Year
Tolal
arms
guns
Rifles
guns
stated
ments
weapons
weapons
1990
385
382
345
8
19
10
2
1
1991
367
361
319
10
25
7
1
3
2
1992
418
411
357
22
21
11
4
1
2
1993
455
451
391
22
26
12
2
2
1994
463
461
405
21
29
6
1
1
'The killing of a felon by a law enforcement officer in the line of duty.
Table 2.17 — Justifiable Homicide by Weapon, Private Citizen,1
1990-1994
Knives
or
Firearms
other
Other
Total
type
cutting
danger-
fire-
Hand-
Shot-
nol
instru-
ous
Personal
Year
Total
arms
guns
Rifles
guns
stated
ments
weapons
weapons
1990
328
276
210
20
39
7
39
9
4
1991
331
296
243
15
25
13
29
4
2
1992
351
311
264
20
24
3
31
5
4
1993
357
313
254
15
33
II
28
9
7
1994
353
316
260
17
29
10
19
13
5
■The killing of a felon, during the commission of a felony, by a private citizen
22
FORCIBLE RAPE
DEFINITION
Forcible rape, as defined in the Program, is the carnal knowledge of a female forcibly and against
her will. Assaults or attempts to commit rape by force or threat of force are also included; however,
statutory rape (without force) and other sex offenses are excluded.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
106,014
41.1
1994
102,096
39.2
Percent change
-3.7
-4.6
23
The 102,096 forcible rapes reported to law enforcement
agencies across the Nation during 1994 represented the lowest
total since 1989. The 1994 count was 4 percent lower than in
1993.
Geographically, 39 percent of the forcible rape total in 1994
was accounted for by the most populous Southern States, 26
percent by the Midwestern States, 22 percent by the Western
States, and 13 percent by the Northeastern States. Two-year
trends showed that all regions experienced declines ranging
from 2 percent in the South to 7 percent in the Northeast. (See
Table 4.)
As in previous years, monthly totals show most forcible
rapes were reported during the summer months of 1994. The
lowest volume occurred in December. (See Table 2.18.)
Table 2.18— Forcible Rape by Month, 1990-1994
(Percent distribution]
Months
January . .
February
March ....
April
May
June
July
August . . .
September
October
November
December .
1990
7.6
67
7.9
8.1
9 1
9.0
9.6
9.4
9.1
8.4
7.7
7.4
1991
7.1
7.0
7.9
8.3
9.2
9.2
9.5
9.7
8.8
8.6
7.8
6.8
1992
7.0
7.6
8.6
8.5
8.9
8.7
9.4
96
8.7
8.4
7.6
7.0
1993
7.7
6.9
8.5
8.2
8.9
9.2
9.7
9.3
8.3
8.1
7.5
7.7
1994
7.5
7.3
8.3
8.4
8.9
9.2
9.7
96
8.7
8.5
7.3
6.5
Rate
By Uniform Crime Reporting definition, the victims of
forcible rape are always female, and in 1994, an estimated 77 of
every 100,000 females in the country were reported rape vic-
tims. The 1994 female forcible rape rate was 4 percent lower
than both the 1993 and 1990 rates.
The highest rate in 1994 was recorded in the Nation's metro-
politan areas where it was 80 victims per 100,000 females. In
cities outside metropolitan areas, the rate was 77 per 100,000
females, and in rural counties, it was 51 per 100,000 females.
Although metropolitan areas record the highest rape rates, they
have shown the only rate decline over the past 10 years, 2
percent. During this same time, the rate increased in cities
outside metropolitan areas by 88 percent, and rural counties
recorded a 46-percent rate rise.
Geographically, in 1994, the highest female rape rate was in
the Southern States, which recorded 85 victims per 100,000
females. The Midwestern States followed closely with a rate of
84; the Western States registered 78; and the Northeastern
States, 52. Three of the four regions showed rate declines
between 1993 and 1994. In the Midwest, however, the female
rape rate increased by 1 percent over the 2-year period.
Over the last 10 years, regional decreases in the female
forcible rape rate were 8 percent in the West and 7 percent in
the Northeast. Rate increases were reported in the Midwest and
South, 29 and 10 percent, respectively, for the same timeframe.
Nature
Rapes by force constitute the greatest percentage of total
forcible rapes, 87 percent of the 1994 experience. The remain-
der were attempts or assaults to commit forcible rape. The
number of rapes by force decreased 4 percent in 1994 from the
1993 volume, and attempts to rape decreased 5 percent.
As for all other Crime Index offenses, complaints of forcible
rape made to law enforcement agencies are sometimes found to
be false or baseless. In such cases, law enforcement agencies
"unfound" the offenses and exclude them from crime counts.
The "unfounded" rate, or percentage of complaints determined
through investigation to be false, is higher for forcible rape
than for any other Index crime. In 1994, 8 percent of forcible
rape complaints were "unfounded," while the average for all
Index crimes was 2 percent.
Law Enforcement Response
Over half of the forcible rapes reported to law enforcement
nationwide and in cities were cleared by arrest or exceptional
means in 1994. Rural and suburban county law enforcement
agencies cleared a slightly higher percentage of the offenses
brought to their attention than did city law enforcement
agencies. (See Table 25.)
Geographically, forcible rape clearance rates in 1994 were
45 percent in the Midwest, 48 percent in the West, 55
percent in the Northeast, and 57 percent in the South. (See
Table 26.)
Of the total clearances for forcible rape in the country as a
whole, 15 percent involved only persons under 18 years of age.
The percentage of juvenile involvement varied by community
type, ranging from 13 percent in the Nation's cities to 20
percent in suburban counties. (See Table 28.)
Law enforcement agencies nationwide made an estimated
36,610 arrests for forcible rape in 1994. Of the forcible rape
arrestees, about 4 of every 10 were under age 25. Over half of
those arrested were white. (See Tables 29, 41, and 43.)
The number of arrests for forcible rape fell 6 percent nation-
wide from 1993 to 1994. A decrease of 7 percent was experi-
enced in the Nation's cities, and 4-percent declines were
recorded in the rural and suburban counties. (See Tables 36, 44,
50, and 56.)
24
FORCIBLE RAPE
CHART 2.7
PERCENT CHANGE from 1990
Number of
Offenses Known -
Down 0.4%
Rate per 100,000
Inhabitants -
Down 4.9%
1993
1994
25
ROBBERY
DEFINITION
Robbery is 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.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
659,870
255.9
1994
618,817
237.7
Percent change
-6.2
-7.1
26
Estimated at nearly 619,000 offenses, robberies in 1994
accounted for 4 percent of all Index crimes and 33 percent of
the violent crimes. During the year, robberies occurred most
frequently in August and October and least often in February.
Table 2.19— Robbery by Month, 1990-1994
IPercent distribution]
Months
January
February
March ....
April
May
June
July
August . .
September
Octobet .
November
December
8.7
7.3
8.1
7.2
7.7
7.8
8.5
8.8
8.6
8.9
8.7
9.6
8.7
7.5
8.0
7.4
7.8
78
84
8.8
8.5
9.2
8.7
9.2
9.0
8.0
8.1
7.8
7.9
7.9
8.4
8.6
8.3
87
8.3
9.0
8.8
7.1
8.3
7,4
7.5
8 1
8.7
8.8
8.4
9.0
8.5
9.4
8.7
77
8.6
8.0
8.0
8.0
8.5
8.2
8.4
The 1994 robbery volume was down 6 percent from 1993
levels nationally and in the Nation's cities. The largest
decline — 11 percent — was experienced in cities with a million
or more inhabitants. During the same period, the robbery
volume dropped 4 percent in the suburban counties but
increased 4 percent in the rural counties. (See Table 12.)
Regionally, the Southern States, the most populous region,
accounted for 32 percent of all reported robberies. The North-
eastern and Western States each recorded 24 percent; and the
Midwest. 20 percent. (See Table 3.) Two-year trends show the
number of robberies in 1994 was down in all regions as com-
pared to 1993. The declines ranged from 10 percent in the
Northeast to 1 percent in the Midwest.
Chart 2.8 depicts the national trend in the robbery volume,
as well as the robbery rate, for the years 1990-1994. In 1994, the
number of robbery offenses was 3 percent lower than in 1990
but 24 percent higher than in 1985.
Rate
The national robbery rate in 1994 was 238 per 100,000
people. 7 percent lower than in 1993. In metropolitan areas, the
1994 rate was 288; in cities outside metropolitan areas, it was
75; and in the rural areas, it was 17. With 877 robberies per
100.000 inhabitants, the highest rate was recorded in cities with
a million or more inhabitants. (See Table 16.)
Robbery rates per 100,000 inhabitants declined in all regions
from 1993 to 1994. The rates of 291 in the Northeast and 256 in
the West were down 10 and 9 percent respectively. The South's
rate of 221 was 6 percent lower; and the Midwest's rate of 200
was down 2 percent. (See Table 4.)
Nature
Losses estimated at $496 million were attributed to robberies
during 1994. The value of property stolen averaged $801 per
robbery, down from $815 in 1993. Average dollar losses in 1994
ranged from $387 taken during robberies of convenience stores
to $3,551 per bank robbery. (See Table 23.) The impact of this
violent crime on its victims cannot be measured in terms of
monetary loss alone. While the object of a robbery is to obtain
money or property, the crime always involves force or threat of
force, and many victims suffer serious personal injury.
Robberies on streets or highways accounted for more than
half (55 percent) of the offenses in this category during 1994.
Robberies of commercial and financial establishments
accounted for an additional 21 percent, and those occurring at
residences, 11 percent. The remainder were miscellaneous
types. All robbery types declined in 1994 as compared to 1993
totals. The decreases ranged from 25 percent for bank rob-
beries to 1 percent for residential robberies. (See Table 23.)
Table 2.20— Robbery, Percent Distribution, 1994
[By region]
United
States
Total
North-
eastern
States
Mid-
western
States
Southern
States
Western
States
Total'
100.0
100.0
100.0
1000
100.0
Street/highway
Commercial house
Gas or service station
Convenience store
Residence
Bank
Miscellaneous
54.6
12.3
2 2
5.1
109
1.4
13.5
61 6
9.9
1.8
2.7
11.0
.8
12.1
62.1
9.4
2.5
3.6
9.1
1.2
12.1
50.2
12.5
2 2
7.1
13.3
1.3
13.3
49.6
15.8
2.3
5.7
8.3
2.4
15.8
■Because of rounding, percentages may not add to totals.
27
Number of
Offenses Known -
Down 3.2%
Rate per 100,000
Inhabitants -
Down 7.5%
ROBBERY
CHART 2.8
PERCENT CHANGE from 1990
Percent
10
8
-2
-4
■8
1990
1991
1992
1993
1994
28
Table 2.21— Robbery, Percent Distribution, 1994
[By population group]
Group 1
Group 11
Group III
Group IV
Group V
Group VI
County
(61 cities. 250,000
(131 cities. 100,000
(344 cities. 50.000
(633 cities. 25.000
(1,478 cities. 10,000
(5.883 cities
agencies (3.700
and over;
to 249,999;
to 99,999;
to 49,999;
to 24,999;
under 10.000;
agencies;
population
population
population
population
population
population
population
42.506,000)
19,282.000)
23.568,000)
21,875,000)
23,277,000)
20,306,000)
73.984,000)
Total '
100.0
100.0
100.0
100.0
100.0
100.0
100.0
Street/highway
62.3
54.1
49.5
43.7
37.2
27.8
369
10.9
12.7
13.7
13.9
14 7
13.2
16.3
1.4
2 2
2.9
3.2
4.3
3.0
3.8
2.9
6.1
7.5
7.9
9.5
9.1
9.5
10.5
.9
10.1
1.7
9.4
2.1
10.2
2.5
11 6
2.5
111
2.3
156
Bank
2.1
Miscellaneous
11.0
13.2
14.8
18.7
20.2
33.4
15.8
'Because of rounding, percentages may not add to totals
Firearms were the weapons used in 42 percent of all rob-
beries in 1994. Strong-armed tactics were used in 39 percent,
knives or cutting instruments in 9 percent, and other dangerous
weapons in the remainder. A comparison of 1993 and 1994
robbery totals by weapon showed those by knives or cutting
instruments dropped 10 percent; those by firearms decreased 8
percent; and those by strong-arm tactics and by other dan-
gerous weapons were each down 3 percent. A state-by-state
breakdown of weapons used in robberies in 1994 is shown in
Table 21.
Table 2.22— Robbery, Type of Weapons Used, 1994
[Percent distribution by region]
Total
all
weapons'
Armed
Region
Fire-
arms
Knives or
cutting
instru-
ments
Other
weapons
Strong-
armed
Total
100.0
41.6
9.5
97
393
Northeastern Stales
Midwestern States
100.0
100.0
100.0
100.0
35.3
44.8
46.2
39.3
12.9
7.2
8.0
9.8
9.1
9.6
8.6
11.7
42.8
38.4
37.2
Western States
39.3
'Because of rounding, percentages may not add to totals.
Law Enforcement Response
The 1994 robbery clearance rate was 24 percent nationally
and in the cities collectively. The highest robbery clearance
rate — 39 percent — was registered by rural county law enforce-
ment agencies. In suburban counties, the rate was 27 percent.
(See Table 25.) Regional robbery clearance percentages ranged
from 20 percent in the Midwest to 27 percent in the South. (See
Table 26.)
Persons under the age of 18, exclusively, were the offenders
in 20 percent of all 1994 robbery clearances. This age group
accounted for 22 percent of the suburban county clearances, 19
percent of those in the Nation's cities, and 13 percent of those
by rural county agencies. (See Table 28.)
Two percent fewer persons were arrested for robbery in 1994
than in 1993. For the 2-year period, arrests of adults for robbery
decreased 7 percent, while juvenile arrests were up 11 percent.
Robbery arrests decreased 2 percent in the Nation's cities, and
the rural counties showed virtually no change. The suburban
counties recorded a 2-percent increase.
Considering the 5-year period, 1990-1994, total robbery
arrests were down 3 percent. For the same timespan, arrests of
males for robbery decreased 4 percent, but female arrests
increased 9 percent. Arrests of persons 18 years of age and
older decreased 14 percent, while juvenile arrests rose 32
percent.
Sixty-four percent of all robbery arrestees in 1994 were
under 25 years of age, and 91 percent were males. Sixty-one
percent of those arrested were black, 38 percent were white,
and the remainder were of other races.
29
ROBBERY Percent Charge from 1990 CHART 2.9
Street Robbery
Down 5%
Commercial House Robbery
1992 1993 1994
Gas Station Robbery
5
n
Down 20%
-5
\
-10
A
-15
>
-20
-20
1990
1991 1992 1993
1994
Convenience Store Robbery
5
Down 24%
0
-5
-10
-15
-20
2 -0 16"^^^
-25
19
90
1991 1992 1993
-24
1994
Residence Robbery
Bank Robbery
30
AGGRAVATED ASSAULT
DEFINITION
Aggravated assault is 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 means likely to produce death or great bodily harm. Attempts are included since it is
not necessary that an injury result when a gun, knife, or other weapon is used which could and
probably would result in serious personal injury if the crime were successfully completed.
TREND
Year
1993
1994
Percent change
Number of offenses
1,135,607
1,119,950
-1.4
Rate per 100,000
inhabitants
440.3
430.2
-2.3
31
After increasing steadily since 1983, aggravated assaults
dropped 1 percent in 1994 to an estimated 1,119,950 offenses.
Aggravated assaults in 1994 accounted for 60 percent of the
violent crimes.
Geographic distribution figures show that 40 percent of the
aggravated assault volume was accounted for by the most
populous Southern Region. Following were the Western
Region with 25 percent, the Midwestern Region with 19 per-
cent, and the Northeastern Region with 15 percent. Among the
regions, only the Midwest registered an increase in the number
of reported aggravated assaults. (See Table 4.)
The 1994 monthly figures show that the greatest number
of aggravated assaults was recorded during July, while the
lowest volume occurred during February.
Rate
There were 430 reported victims of aggravated assault for
every 100,000 people nationwide in 1994, the lowest rate since
1990. The rate was 2 percent lower than in 1993, 1 percent
higher than in 1990, and 42 percent above the 1985 rate.
Higher than the national average, the rate in metropolitan
areas was 472 per 100,000 in 1994. Cities outside metropolitan
areas experienced a rate of 382, and rural counties, a rate of
189.
Regionally, the aggravated assault rate was 337 per 100,000
people in the Northeast, 350 in the Midwest, 493 in the South,
and 500 in the West. Compared to 1993, 1994 aggravated
assault rates were down in all regions except the Midwest,
which experienced virtually no change. (See Table 4.)
Table 2.23— Aggravated Assault by Month, 1990-1994
[Percent distribution]
January
February .
March ....
April
May
June
July
August . . .
September
October .
November
December .
1990
7.4
6.7
7.8
8.2
9.0
9.4
10.1
9.3
8.9
8.3
7.4
7.5
6.9
6.6
7.7
8.1
9.1
9.3
9.7
9.9
9 0
8.6
7.6
7.6
7.3
7.3
8.0
8.7
9.2
8.9
9.4
9.1
8.6
8.5
76
7.4
7,5
6.5
8.1
8.3
8.9
9.1
9 6
9.2
8.3
8.5
7.4
8.6
1994
7.2
7.0
8.3
8.5
8.8
8.9
9.5
9.4
8.9
8.7
7.7
7.3
The Nation's cities collectively experienced a decrease of 2
percent in the aggravated assault volume from 1993 to 1994.
Percent changes among the city population groupings ranged
from a 4-percent decline in cities with populations over 1
million to a 1-percent increase in cities with 10,000 - 24,999
inhabitants. The suburban counties registered a 1-percent
increase in the number of aggravated assaults reported, and the
rural counties, a 5-percent rise for the 2-year period. (See Table
12.)
Five- and 10-year trends for the country as a whole showed
aggravated assaults 6 percent higher than in 1990 and 55
percent above the 1985 experience. (See Table 1.)
Nature
Thirty-two percent of the aggravated assaults in 1994 were
committed with blunt objects or other dangerous weapons. Of
the remaining weapon categories, personal weapons such as
hands, fists, and feet were used in 26 percent of the assaults;
firearms in 24 percent; and knives or cutting instruments in the
remainder.
Firearms were used in 6 percent fewer assaults in 1994 than
in 1993. Assaults with knives or cutting instruments also
decreased, 1 percent. Showing increases were assaults with
personal weapons (hands, fists, and feet) and those involving
blunt objects or other dangerous weapons, both up 2 percent
over 1993. State-by-state totals for weapons used in assaults
during 1994 are shown in Table 22.
Table 2.24 — Aggravated Assault, Type of Weapons Used, 1994
[Percent distribution by region]
Region
Total
all
weapons'
Fire-
arms
Knives or
cutting
instru-
ments
Other
weapons
(clubs,
blunt
objects.
etc.)
Personal
weapons
Total
100.0
24.0
17.8
32.0
26.2
Northeastern States
Midwestern States
Southern States
100.0
100.0
100.0
100.0
15.9
28.5
26.4
22.4
20.9
18.0
19 1
13.8
33.7
34.2
32.8
28.3
295
19.2
21.8
35.4
'Because of rounding, percentages may not add to totals
32
AGGRAVATED ASSAULT
CHART 2.10
PERCENT CHANGE from 1990
Number of
Offenses Known -
Up 6.2%
Rate per 100,000
Inhabitants -
Up 1.4%
1991
1992
1993
1994
33
Law Enforcement Response
Law enforcement agencies nationwide recorded a 56-
percent aggravated assault clearance rate during 1994. The
cities collectively reported 55 percent cleared, while the subur-
ban and rural county law enforcement agencies cleared 60 and
64 percent, respectively. Among the city groupings, those with
populations under 10,000 recorded the highest assault clearance
rate, 65 percent. (See Table 25.)
Regional clearance percentages for aggravated assault were
58 percent in the West, 57 percent in both the Northeast and the
South, and 51 percent in the Midwest.
Thirteen percent of the clearances reported nationally and in
cities involved only persons under age 18. Persons in this age
group were identified as the assailants in 15 percent of the
clearances in the suburban counties and 10 percent of those in
the rural counties.
Seven of every 10 violent crime arrests were for aggravated
assault in 1994. Of the over half a million arrestees, whites
comprised 59 percent; blacks, 39 percent; and all other races,
the remainder. Eighty-three percent of the arrestees were
males, and 84 percent, adults.
Aggravated assault arrests were up 3 percent in 1994 above
the 1993 total. During this 2-year period, arrests of adults also
increased 3 percent, and arrests of persons under age 18 were
up 5 percent. A comparison of 1990 and 1994 figures showed
increases of 9 percent for total arrests, 25 percent for juvenile
arrests, and 6 percent for adult arrests.
34
PROPERTY CRIME TOTAL
DEFINITION
Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The
object of the theft-type offenses is the taking of money or property, but there is no force or threat of
force against the victims. Arson is included since it involves the destruction of property; its victims
may be subjected to force.
TREND
Rate per 100,000
Year
Number of offenses'
inhabitants'
1993
12,218,777
4,737.6
1994
12,127,507
4.658.3
Percent change
-.7
-1.7
'Does not include arson. See
page 57.
35
Estimated property crimes decreased 1 percent to 12.1
million reported offenses in 1994, the lowest total since 1987.
Five- and 10-year trends show the 1994 volume was 4 percent
lower than the 1990 total but was 9 percent higher than in 1985.
A comparison of 1993 and 1994 property crime volumes
showed declines of 5 percent in the Northeast and 1 percent in
the South. One-percent increases were experienced in the Mid-
west and West. The Nation's cities collectively recorded a
1-percent property crime decrease, with the greatest drop (7
percent) in cities with populations of a million or more. Rural
and suburban county law enforcement agencies each recorded
increases, 2 and 1 percent, respectively. (See Tables 4 and 12.)
As in previous years, 1994 monthly figures show more
property crime occurred in August, while the lowest total was
recorded in February.
Table 2.25— Property Crime Total by Month, 1990-1994
(Percent distribution]
January
February
March
April
May
June
July
August . .
September
October
November
December
8.3
7.4
8.2
7.9
8.2
8.2
8.9
9.1
8.3
8.7
8.2
8.6
7.9
7.4
8.2
8.0
8.3
8.4
9.1
9.2
8.4
8.7
8.0
8.4
8.4
7.8
8.2
8.0
8.2
8.4
9.0
9 1
8.4
8.5
8.0
8.1
8.0
6.9
8.1
7.9
8.1
8.6
9.1
9.2
8.4
8.6
8.1
9 1
7.6
7 1
8.2
8.0
8.5
8.5
9.2
9.4
8.5
8.8
8.3
7.9
Rate
In 1994, there were an estimated 4,658 property crimes for
every 100,000 United States inhabitants. The 1994 property
crime rate was almost 2 percent lower than the 1993 rate and 8
percent under the 1990 rate. The property crime rate has
declined for 3 consecutive years.
Geographically, the 1994 property crime rate decreased in all
regions except the Midwest, whose rate of 4,215 represented an
increase of less than 1 percent as compared to 1993. The rate of
3,682 per 100,000 in the Northeast showed the largest decline,
6 percent. The rate of 5,080 in the South represented a
2-percent decrease; and the West's rate of 5,346, 1-percent
decline.
Property crime rates for 1994 were 5,082 in metropolitan
areas, 4,818 in cities outside metropolitan areas, and 1,794 in
rural counties. By population group, the highest rate — 8,424
— was recorded in cities with populations from 250,000 to
499,999. (See Tables 2 and 16.)
Nature
The dollar value of property stolen in connection with prop-
erty crimes in 1994 was estimated at $15.1 billion, up from
$14.8 billion in 1993. The average loss per offense in 1994 was
$1,248 as compared to $1,213 in 1993.
Larceny-theft accounted for 65 percent of all property crime
in 1994. Burglary accounted for 22 percent and motor vehicle
theft for 13 percent. Although arson is excluded from the
property crime offense and clearance tabulations because of its
limited timespan as an Index offense and lower national cover-
age, more than 100,000 offenses were reported. The average
dollar loss was $9,761 per arson in 1994, based on data from
11,932 law enforcement agencies who provided detailed arson
data. The average loss per arson in 1994 declined significantly
from 1992 and 1993 averages. Damages in these previous years
were influenced by arsons during the Los Angeles riots in 1992
and to forested areas of California in 1993.
Regionally, 38 percent of all property crimes were recorded
in the Southern States. Following were the Western States with
25 percent, the Midwestern States with 21 percent, and the
Northeastern States with 16 percent.
Law Enforcement Response
Property crimes generally have lower clearance rates than
violent crimes, and in 1994, the overall property crime clear-
ance rate was 18 percent, as compared to 45 percent for violent
crime. Geographically, the Midwest's and South's 1994 prop-
erty crime clearance rates equalled the Nation's, 18 percent.
Rates of 17 percent were recorded in the Northeast and West.
(See Table 26.)
Twenty-five percent of the property crimes cleared by law
enforcement nationwide and in cities in 1994 involved only
young people under age 18. The juvenile percentage was 26
percent in suburban counties and 22 percent in rural counties.
(See Table 28.)
The estimated 2.1 million persons arrested for property
crimes in 1994 accounted for 15 percent of all arrestees. Prop-
erty crime arrests in 1994 were 1 percent above the 1993 total, 6
percent lower than the 1990 total, and 8 percent above the 1985
experience. Compared to 1993 totals, arrests of persons under
age 18 for property crimes rose 5 percent in 1994, while adult
arrests dropped 2 percent, nationwide. (See Tables 32, 34, and
36.)
In 1994, 73 percent of all property crime arrestees were
males, 64 percent of the total were white, and 65 percent were
over age 18.
36
PROPERTY CRIME
CHART 2.1 1
PERCENT CHANGE from 1990
-2
-4
-8
10
I
I E
D E
g E
Number of
Offenses Known -
Down 4.2%
Rate per 100,000
Inhabitants -
Down 8.5%
1990
1991
1992
1993
1994
37
BURGLARY
DEFINITION
The Uniform Crime Reporting Program defines burglary as the unlawful entry of a structure to
commit a felony or theft. The use of force to gain entry is not required to classify an offense as
burglary. Burglary in this Program is categorized into three subclassifications: forcible entry,
unlawful entry where no force is used, and attempted forcible entry.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
2,834,808
1,099.2
1994
2,712,156
1,041.8
Percent change
-4.3
-5.2
38
The estimated 2.7 million burglaries in the United States
during 1994 accounted for 19 percent of the Crime Index total
and 22 percent of the property crimes. Distribution figures for
the regions showed that the highest burglary volume (40 per-
cent) occurred in the most populous Southern States. The
Western States followed with 24 percent, the Midwestern States
with 20 percent, and the Northeastern States with 15 percent.
(See Table 3.)
The greatest number of burglaries was recorded during
August of 1994, while the lowest count was in February. (See
Table 2.26.)
Table 2.26— Burglary by Month, 1990-1994
[Percent distribution]
January
February .
March
April
May
June
July
August . .
September
October .
November
December -
7.5
8.1
7,8
8.1
7.9
8.9
9.0
8.3
8.5
8.3
8.7
8.1
7.3
8.1
7.9
8.3
8.2
9.2
9.2
8.6
86
8.0
8.6
8.6
77
8.2
7.8
8.2
8.1
90
9.0
8.4
8.3
8.3
69
8.2
7.7
8.0
8.4
9.0
9.1
8.5
8.4
8.1
93
7.9
7.1
8.2
8.0
8.5
8.3
9.2
9.4
8.6
8.6
8.4
7.9
Nationwide, the burglary volume dropped 4 percent in 1994
from the 1993 total. In the Nation's cities, it decreased 5
percent; in the suburban counties, 3 percent; and in the rural
counties, 1 percent. (See Table 12.)
All four regions of the United States reported decreases in
burglary volumes during 1994 as compared to 1993. The North-
eastern States experienced an 8-percent decline; the Southern
States, a 5-percent decrease; and the Western States, a 3-per-
cent drop. The Midwestern States reported the smallest change,
a 1-percent decline. (See Table 4.)
Longer term national trends show burglary down 12 percent
from both the 1990 and 1985 volumes.
Rate
The burglary rate was 1,042 per 100,000 inhabitants nation-
wide in 1994. The rate was 5 percent lower than in 1993, down
16 percent from 1990, and 19 percent below the 1985 rate. In
1994, for every 100,000 in population, the rate was 1,113 in the
metropolitan areas, 965 in the cities outside metropolitan areas,
and 632 in the rural counties.
Regionally, the burglary rate was 1,206 in the Southern
States, 1,163 in the Western States, 886 in the Midwestern
States, and 804 in the Northeastern States. A comparison of
1993 and 1994 rates showed decreases of 8 percent in the
Northeast, 6 percent in the South, 5 percent in the West, and 1
percent in the Midwest. (See Table 4.)
Nature
Two of every 3 burglaries in 1994 were residential in nature.
Sixty-seven percent of all burglaries involved forcible entry, 25
percent were unlawful entries (without force), and the remain-
der were forcible entry attempts. Offenses for which time of
occurrence was reported showed that 52 percent of burglaries
happened during daytime hours and 48 percent at night. More
residential burglaries (59 percent) occurred during the daytime,
while 62 percent of nonresidential burglaries occurred during
nighttime hours.
The volume of property stolen in burglaries was estimated at
$3.6 billion in 1994, and the average dollar loss per burglary
was $1,311. The average loss for residential offenses was $1,296
and for nonresidential offenses, $1,341. Compared to 1993, the
1994 average loss for both residential and nonresidential prop-
erty increased.
Both residential and nonresidential burglary volumes also
showed declines from 1993 to 1994, 4 and 6 percent, respec-
tively. (See Table 23.)
39
BURGLARY
CHART 2.12
PERCENT CHANGE from 1990
Percent
Number of
Offenses Known -
Down 1 1 .8%
Rate per 100,000
Inhabitants -
Down 15.7%
-6
-8
-10
-12
-14
-16
1990
m m
-11.8
\
HE1 gjj
5J 1-11.1 1
-15JJ
1991
1992
1993
1994
40
BURGLARY
Percent Change from 1 990
CHART 2.13
Residence Daytime
Down 10%
2
o
-2
U^^W
-4
-6
^^^^^^^'
-8
-7 ^^^
\
-10
H
-12
1990
1991 1992 1993
1994
Residence Nighttime
Down 14%
1991 1992 1993 1994
Non-Residence Daytime
o
Down 11%
-2
-4
-6
-8
-10
-12
19
90
-3 ^SB
1991 1992 1993
•1
19c
H
Non-Residence Nighttime
Down 21%
5
n
-5
^^
I
-10
^^^|
-15
^^
i|
-20
-25
\3'
1990
1991 1992 1993
1994
41
Law Enforcement Response
Nationwide in 1994, a 13-percent clearance rate was recorded
for burglaries brought to the attention of law enforcement
agencies across the country. Geographically, in the South, the
clearance rate was 15 percent; in the Northeast, 13 percent; and
in both the Midwest and West, 12 percent. (See Table 26.)
Rural county law enforcement agencies cleared 17 percent of
the burglaries in their jurisdictions. Agencies in suburban
counties cleared 14 percent, and those in cities, 13 percent. (See
Table 25.)
Adults were involved in 79 percent of all burglary offenses
cleared; the remaining 21 percent involved only young people
under 18 years of age. Persons under age 18 accounted for 20
percent of the burglary clearances in cities, 22 percent of those
in rural counties, and 24 percent of those in suburban counties.
The highest degree of juvenile involvement was recorded in
the Nation's smallest cities (under 10,000 in population) where
young persons under 18 years of age accounted for 27 percent
of the clearances. (See Table 28.)
In the UCR Program, several persons may be arrested in
connection with the clearance of one crime, or the arrest of one
individual may clear numerous offenses. The latter is often true
in cases of burglary, for which an estimated 396,100 arrests
were made in 1994.
Arrest trends between 1993 and 1994 show total burglary
arrests were down 4 percent. Arrests of adults were down 6
percent, while those of persons under 18 years of age
increased 1 percent. For the same 2-year time period, total
burglary arrest trends showed decreases of 4 percent in
cities; 3 percent in rural counties; and 1 percent in suburban
counties.
Ninety percent of the burglary arrestees during 1994 were
males, and 63 percent of the total were under 25 years of age.
Among all burglary arrestees, whites accounted for 67 percent,
blacks for 31 percent, and other races for the remainder.
42
LARCENY-THEFT
DEFINITION
Larceny-theft is the unlawful taking, carrying, leading, or riding away of property from the
possession or constructive possession of another. It includes crimes such as shoplifting, pocket-
picking, purse-snatching, thefts from motor vehicles, thefts of motor vehicle parts and accessories,
bicycle thefts, etc., in which no use of force, violence, or fraud occurs. In the Uniform Crime
Reporting Program, this crime category does not include embezzlement, "con" games, forgery, and
worthless checks. Motor vehicle theft is also excluded from this category inasmuch as it is a separate
Crime Index offense.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
7,820,909
3,032.4
1994
7,876,254
3,025.4
Percent change
+.7
-.2
43
Larceny-theft, estimated at nearly 7.9 million offenses dur-
ing 1994, comprised 56 percent of the Crime Index total and 65
percent of the property crimes. Similar to the experience in
previous years, larceny-thefts were recorded most often during
August and least frequently in February.
Table 2.27— Larceny-Theft by Month, 1990-1994
[Percent distribution]
Months
January .
February .
March ....
April
May
June
July
August . . .
September
October .
November
December
1990
7.4
8.2
7.9
8.3
8.3
8.9
9.1
8.2
8.7
8.1
8.4
7.8
7.5
8.2
8.1
8.4
8.5
9.2
9.3
8.3
8.7
7.9
8.2
7.8
8.3
8.1
8.2
8.5
9.1
9.1
8.4
8.6
7.9
8.0
7.7
6.8
8.0
8.0
8.2
8.7
9.2
9.3
8.3
8.6
8.0
9.1
7.4
7 1
8.1
8.1
8.5
8.6
9.2
9.5
8.5
8.9
8.3
7.9
Viewed geographically, the Southern States, the most popu-
lous region, recorded 38 percent of the larceny-theft total. The
Western States recorded 24 percent; the Midwestern States, 22
percent; and the Northeastern States, 15 percent. (See Table 3.)
The 1994 volume of larceny-thefts was 1 percent higher than
the 1993 total. The Nation's cities collectively showed no
change for the 2-year period, while increases of 3 percent were
experienced in both the rural and suburban counties.
Larceny volumes increased in three of four geographic
regions. The West showed a 2-percent rise and the Midwest and
the South, both 1-percent increases. In the Northeast, the
number of larceny-thefts dropped 3 percent. (See Table 4.)
The 5- and 10-year national trends indicated larceny was
down 1 percent when compared to the 1990 total but 14 percent
above the 1985 level.
Rate
Virtually unchanged from 1993, the 1994 larceny-theft rate
was 3,025 per 100,000 United States inhabitants. The rate was 5
percent lower than in 1990 but 4 percent above the 1985 rate.
The 1994 rate was 3,268 per 100,000 inhabitants of metro-
politan areas; 3,623 per 100,000 population in cities outside
metropolitan areas; and 1,046 per 100,000 people in the rural
counties. (See Tables 1 and 2.)
By region, the 1993 larceny-theft rate per 100,000 inhabitants
in the Northeast was 2,280, down 3 percent; and the South's
rate of 3,329 declined less than 1 percent. Increasing 1 percent
were the rates in the West, at 3,384, and the Midwest, at 2,869.
(See Table 4.)
Nature
During 1994, the average value of property stolen due to
larceny-theft was $505, up from $504 in 1993. When the
average value was applied to the estimated number of larceny-
thefts, the loss to victims nationally was $4 billion for the year.
This estimated dollar loss is considered conservative since
many offenses in the larceny category, particularly if the value
of the stolen goods is small, never come to law enforcement
attention. Losses in 39 percent of the thefts reported to law
enforcement were under $50. Twenty-three percent involved
losses ranging from $50 to $200, while in 37 percent, they were
over $200.
Losses of goods and property reported stolen as a result of
pocket-picking averaged $428; purse-snatching, $279; and
shoplifting, $133. Thefts from buildings resulted in an average
loss of $851; from motor vehicles, $542; and from coin-
operated machines, $228. The average value loss due to thefts
of motor vehicle accessories was $312 and for thefts of bicy-
cles, $252. (See Table 23.)
Thefts of motor vehicle parts, accessories, and contents
made up the largest portion of reported larcenies — 37 percent.
Also contributing to the high volume of thefts were shoplifting,
accounting for 15 percent; thefts from buildings, 13 percent;
and bicycle thefts, 6 percent. The remainder was distributed
among pocket-picking, purse-snatching, thefts from coin-
operated machines, and all other types of larceny-thefts. Table
2.28 presents the distribution of larceny-theft by type and
geographic region.
Table 2.28 — Larceny Analysis by Region, 1994
[Percent distribution]
United
Slates
Total
North-
eastern
Stales
Mid-
western
States
Southern
States
Western
Stales
Total1
100.0
100.0
100.0
100.0
100.0
Pocket-picking
Purse-snatching
Shoplifting
From motor vehicles
(except accessories)
Motor vehicle
.8
8
15.0
23.7
12.9
6.3
13.0
.7
26.9
2.8
15
14.0
21.4
13.3
7.3
18.6
.8
20.2
.3
.8
13.6
20.9
13.6
6.8
16.3
.6
27.1
.5
.6
14.8
21.9
13.5
5.4
10 1
.7
32.5
4
.6
16.7
29.7
11.2
Bicycles
From buildings
From coin-operated
machines
6.8
12.3
.6
21.8
'Because of rounding, percentages may nol add to totals.
44
LARCENY-THEFT
1990
CHART 2.14
PERCENT CHANGE from 1990
1991
1992
1993
1994
Number of
Offenses Known -
Down 0.9%
Rate per 100,000
Inhabitants -
Down 5.3%
45
LARCENY/THEFT Percent Chan3e from 1990 CHART 2.15
Pocket Picking
Purse Snatching
n
Down 25%
-5
^^k.
-10
-15
^^^^t
-20
^i
-25
1990
1991 1992 1993
1994
1990
Shoplifting
Down 10%
1991 1992
1993
1994
Theft from Motor Vehicles
Down 1%
3
j
A.
2.5
/\
2
/ ^V
1.5
/ \.
1
y
* ^*%w
0.5
/
^V
-0.5
V
W 1
-1
\1
-1.5
-i
1990
1991 1992 1993
1994
Motor Vehicle Accessory Theft
Bicycle Theft
0
Down 16%
-2
-4
-6
("0
-8
10
12
1A
16
7-16
1990
1991
1992
1993
1994
Theft from Buildings
1.5
1
0.5
-0.5
-1
-1.5
-2
-2.5
-3
19
Down 3%
r .
90 1991 1992 1993
19(
H
Theft from Coin Machines
46
CHART 2.16
1% Purse-Snatching
1% Pocket-Picking
1% Coin Machines
15% Shoplifting
6% Bicycles
24% From Motor Vehicles
13% From Buildings
13% Motor Vehicle Accessories
27% All Others
LARCENY-THEFT
Percent Distribution by Type of Theft
1994
47
Law Enforcement Response
A 20-percent larceny-theft clearance rate was recorded
nationally and in cities during 1994. The highest rate, 26
percent, was reported by law enforcement agencies in cities
from 10,000 to 24,999 in population. Suburban and rural coun-
ties recorded 17-percent and 18-percent clearance rates,
respectively.
All geographic regions recorded 20-percent larceny-theft
clearance ratesin 1994. (See Table 26.)
Twenty-five percent of the larceny-theft clearances nation-
ally and in cities involved only offenders under 18 years of
age. Twenty-seven percent of those in suburban counties and 21
percent of those in rural counties were accounted for by per-
sons in this age group.
The number of persons arrested for larceny rose 2
percent from 1993 to 1994. By gender, arrests for males
increased 1 percent and those of females, 4 percent.
During this same period, arrests of persons under 18 years
of age were up 8 percent, while those of adults were down 1
percent.
For the 5-year period, 1990-1994, total larceny-theft arrests
declined 4 percent and those of adults dropped 9 percent.
Arrests of persons under the age of 18 were, however, up 10
percent. During this same timespan, male arrests declined 6
percent, while female arrests rose 1 percent.
Larceny-theft not only comprised the largest portion of
Crime Index offenses reported to law enforcement, but this
offense also accounted for 52 percent of the arrests for Index
crimes and 71 percent of those for property crimes in 1994.
Forty-six percent of the larceny arrests were of persons under
21 years of age, and 33 percent of the arrestees were under 18.
Females, who were arrested for this offense more often than for
any other in 1994, comprised 33 percent of all larceny-theft
arrestees.
Whites accounted for 64 percent of the total larceny-theft
arrestees, blacks for 33 percent, and all other races for the
remainder.
48
MOTOR VEHICLE THEFT
DEFINITION
Defined as the theft or attempted theft of a motor vehicle, this offense category includes the
stealing of automobiles, trucks, buses, motorcycles, motorscooters, snowmobiles, etc. The definition
excludes the taking of a motor vehicle for temporary use by those persons having lawful access.
TREND
Rate per 100,000
Year
Number of offenses
inhabitants
1993
1,563,060
606.1
1994
1,539,097
591.2
Percent change
-1.5
-2.5
49
The over 1.5 million thefts of motor vehicles occurring in the
United States during 1994 comprised 13 percent of all property
crimes. The regional distribution of thefts showed 32 percent
of the volume was in the Southern States, 30 percent in the
Western States, 20 percent in the Northeastern States, and 18
percent in the Midwestern States. (See Table 3.)
The 1994 monthly figures show that the greatest numbers of
motor vehicle thefts were recorded during the months of July
and August, while the lowest count was in February.
Table 2.29— Motor Vehicle Theft by Month, 1990-1994
[Percent distribution]
Months
January - .
February .
March . . .
April
May
June
July
August . .
September
October - .
November
December .
1990
8.5
7.6
8.4
7.9
8.1
8.1
8.3
8.4
1991
8.3
7.5
8.2
7.8
8.1
8.2
8.7
8.9
8.3
8.7
8.5
1992
7.9
8.2
7.8
8.1
8.2
8.8
8.9
8.2
8.6
8.3
8.2
8.5
7.3
8.2
7.8
7.9
8.4
8.9
8.9
8.4
8.6
8.3
8.2
7.4
85
8.0
8.2
8.3
8.9
9 1
8.4
8.8
8.4
7.8
Motor vehicle thefts declined 2 percent nationally and in the
cities overall from 1993 to 1994. Among the city groupings,
percent changes ranged from an 8-percent decline in cities with
populations of 1 million or more to a 3-percent increase in
those with populations from 100,000 to 249,999. During the
same 2-year period, increases occurred in the suburban coun-
ties, 3 percent, and the rural counties, 6 percent.
Geographically, decreases in motor vehicle thefts were
recorded in the Northeast, 10 percent, and in the South, 1
percent. The West and Midwest regions showed increases, 2
and 1 percent, respectively. (See Table 4.)
The accompanying chart shows that the volume of motor
vehicle thefts in 1994 declined 6 percent from the 1990 volume.
For every 100,000 inhabitants living in metropolitan areas,
there were 701 motor vehicle thefts reported in 1994. The rate
in cities outside metropolitan areas was 230 and in rural coun-
ties, 119. As in previous years, the highest rates were in the
Nation's most heavily populated municipalities, indicating that
this offense is primarily a large-city problem. For every
100,000 inhabitants in cities with populations over 250,000, the
1994 motor vehicle theft rate was 1,414. The Nation's smallest
cities, those with fewer than 10,000 inhabitants, recorded a rate
of 244 per 100,000.
Among the regions, the motor vehicle theft rates ranged
from 800 per 100,000 people in the Western States to 460 in the
Midwestern States. The Northeastern States' rate was 599 and
the Southern States' rate, 545. From 1993 to 1994, the Midwest
and West registered rate increases of 1 percent. Both the South
and Northeast reported decreases of 2 and 10 percent,
respectively.
An estimated average of 1 of every 130 registered motor
vehicles was stolen nationwide during 1994. Regionally, this
rate was greatest in the West where 1 of every 98 motor
vehicles registered was stolen. The other three regions reported
lesser rates — 1 per 179 in the Midwest, 1 per 141 in the South,
and 1 per 113 in the Northeast.
Nature
The estimated value of motor vehicles stolen nationwide in
1994 was nearly $7.6 billion. At the time of theft, the average
value per vehicle was $4,940. The recovery percentage for the
value of vehicles stolen was higher than for any other property
type. Relating the value of vehicles stolen to the value of those
recovered resulted in a 61-percent recovery rate for 1994. (See
Tables 23 and 24.)
Seventy-nine percent of all motor vehicles reported stolen
during the year were automobiles, 16 percent were trucks or
buses, and the remainder were other types.
Rate
The 1994 national motor vehicle theft rate— 591 per 100,000
people — was 2 percent lower in 1993 and 10 percent below the
1990 rate. The 1994 rate was 28 percent above the 1985 rate.
Table 2.30— Motor Vehicle Theft, 1994
[Percent distribution by region]
50
Region
Total
Autos
Trucks
and
buses
Other
vehicles
Total
100.0
79.0
15.6
5.4 1
Northeastern States
100.0
100.0
100.0
100.0
92.3
83.4
75.0
72.3
4.5
11.6
18 1
22 2
3.2
5.0 ,
69
5.5 !
1
MOTOR VEHICLE THEFT
CHART 2.17
PERCENT CHANGE from 1990
Number of
Offenses Known -
Down 5.9%
Rate per 100,000
Inhabitants -
Down 10.1%
1990
1991
1992
1993
1994
51
Law Enforcement Response
Law enforcement agencies nationwide recorded a 14-percent
motor vehicle theft clearance rate for 1994. Those in cities
cleared 13 percent; those in suburban counties cleared 17 per-
cent; and rural county agencies cleared 32 percent.
Regional clearance percentages for motor vehicle theft were
18 percent in the Southern States, 16 percent in the Midwestern
States, 12 percent in the Western States, and 10 percent in the
Northeastern States.
Persons in the under-18 age group accounted for 25 percent
of the motor vehicle thefts cleared both nationally and in cities.
They comprised 23 percent of the clearances in the suburban
counties and 22 percent of those in the rural counties.
During 1994, law enforcement agencies nationwide made
an estimated 200,200 arrests for motor vehicle theft. Males
accounted for 88 percent of those arrested. Fifty-seven percent
of the arrestees were white, 40 percent were black, and the
remainder were of other races.
A large proportion of motor vehicle theft arrestees was
accounted for by the younger segment of the population. In
1994, 60 percent of all persons arrested for this offense were
under 21 years of age, and those under 18 comprised 44 percent
of the total. Between 1993 and 1994, overall arrests of persons
under age 18 were down 2 percent. Arrests of juvenile males
decreased 2 percent, while those of young females were up 2
percent.
Total motor vehicle theft arrests in 1994 were down 1 percent
from the 1993 level and 10 percent lower than in 1990. Since
1985, however, the arrest total increased 48 percent.
52
ARSON
DEFINITION
Arson is defined by the Uniform Crime Reporting Program as any willful or malicious
burning or attempt to burn, with or without intent to defraud, a dwelling house, public
building, motor vehicle or aircraft, personal property of another, etc.
Only fires determined through investigation to have been willfully or maliciously set
are classified as arsons. Fires of suspicious or unknown origins are excluded.
53
A total of 102,139 arson offenses was reported by 12,311 law
enforcement agencies across the country; these agencies fur-
nished from 1 to 12 months of reports during 1994. Among
these reporting agencies, 11,932 provided the detailed
information — type of structure, estimated monetary value of
the property damaged, etc. — from which the tables on the
accompanying pages were tabulated. Further information
regarding arson offenses and trends is presented in Tables 12
through 15 and arson clearances in Tables 25 through 28. Since
only 9,409 agencies, covering 78 percent of the United States
population, submitted reports for all 12 months of the year, the
data user should be aware that, while conservative indicators,
the figures do not represent the Nation's total arson experience.
The number of arson offenses reported nationally and over-
all in the Nation's cities increased 5 percent in 1994 as com-
pared to the 1993 total. Changes in counts for the Nation's
cities ranged from a 13-percent increase in cities with popula-
tions between 10,000 and 24,999 to a 2-percent decline in those
with populations of 1,000,000 or more. The rural and suburban
counties registered increases of 6 and 5 percent, respectively.
(See Table 12.)
Geographically, arson increased 17 percent in the Northeast,
6 percent in the Midwest, and 5 percent in the South. The
Western region experienced the only decline, 2 percent.
By property type nationally, increases were shown in the
number of arsons of mobile property, 3 percent; structures, 4
percent; and all other property, 12 percent. (See Table 15.)
Caution is recommended when viewing arson trend infor-
mation. The percent change figures may have been influenced
by improved arson reporting procedures during the collection's
relatively limited timespan. It is expected that year-to-year
statistical comparability will improve as collection continues.
Table 2.31— Arson Rate, Population Group, 1994
[9.409 agencies; 1994 estimated population 203.461.000; rate per 100.000 inhabitants)
Group
Rate
Total
46.6
55 3
83.8
83.1
(cities 500,000 to 999 999)
79.7
(cities 250,000 to 499,999)
88.9
Group II (cities 100.000 to 249.999)
Group III (cities 50.000 to 99,999)
66.3
43.2
Group IV (cities 25,000 to 49,999)
36.5
Group V (cities 10,000 to 24,999)
28.3
Group VI (cities under 10.000)
31.4
32.0
Rural counties
Suburban area
19.4
31.2
Rate
Since population coverage for arson data is lower than for
the other Crime Index offenses, arson rates per 100,000 inhabi-
tants are tabulated independently. Based only on figures from
law enforcement agencies supplying 12 months of statistics for
all Index crimes, including arson, the 1994 rates are shown in
Table 2.31.
The rates ranged from 89 per 100,000 inhabitants in cities
with populations 250,000 to 499.999 to 19 per 100,000 rural
county inhabitants. The suburban counties and all cities collec-
tively recorded rates of 32 and 55 per 100,000 inhabitants,
respectively. Overall, the 1994 national arson rate was 47 per
100,000 population.
Regionally, the highest arson rate was registered in the
Western States with 53 offenses per 100,000 population. Fol-
lowing were the Northeastern States with a rate of 51 per
100,000, the Midwestern States with 49 per 100,000, and the
Southern States with 39 per 100,000.
Nature
As in previous years, structures were the most frequent
targets of arsonists in 1994 and comprised 52 percent of the
reported incidents. Twenty-five percent of the arsons were
directed at mobile property (motor vehicles, trailers, etc.),
while other types of property (crops, timber, etc.) accounted for
the remainder.
Table 2.32— Arson, Type of Property, 1994
[11,932 agencies; 1994 estimated population 202.943,000]
Property classification
83,928
100.0
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile
Other
'Because of rounding, percentages may not add to totals
Residential property was involved in 60 percent of the
structural arsons during the year, with 42 percent of such
offenses directed at single-family dwellings. Eighteen percent
of all targeted structural property was either uninhabited or
abandoned at the time the arson occurred.
Motor vehicles comprised 93 percent of all mobile property
at which arsons were directed.
Number
of
offenses
43.870
18.515
7,597
3.813
719
4.576
5.230
3.420
21.261
19.816
1.445
18.797
Percent
distribution1
52.3
22.1
9.1
4.5
9
5.5
6.2
4.1
25.3
23.6
1.7
22.4
54
Table 2.33 — Arson, Structures Not in Use, 1994
[11,932 agencies; 1994 estimated population 202.943.000]
Type of structure
Total
Single occupancy residential
Other residential
Storage
Industrial/manufacturing . . .
Other commercial
Community/public
Other structure
Number
of
offenses
43.870
18,515
7.597
3.813
719
4.576
5.230
3.420
Percent
not
in use
18.3
21.8
13.9
22.2
27.1
12.7
8.9
24.3
The monetary value of property damaged due to reported
arsons averaged $9,761 per incident in 1994. The overall aver-
age for all types of structures was $16,495. Mobile properties
averaged $3,883 per incident, and other targets averaged $728.
The overall average value of other targets was down signifi-
cantly in 1994 from 1992 and 1993. Damages in these previous
years were influenced by arsons during the Los Angeles riots in
1992 and of forested areas of California in 1993.
Table 2.34 — Arson, Monetary Value of Property Damaged, 1994
[11.932 agencies. 1994 estimated population 202,943.000]
Property classification
Number
of
offenses
Average
damage
83.928
$ 9,761
43.870
18.515
7,597
3.813
719
4,576
5.230
3.420
21.261
19.816
1,445
18.797
16.495
12 570
15 563
16,074
67,135
38 363
11 651
Other structure
7,762
3,883
3 694
6,480
Other
728
Law Enforcement Response
The 1994 arson clearance rate was 15 percent nationally and
14 percent in cities. Agencies in cities with fewer than 10,000
inhabitants showed the highest rate, clearing 25 percent of the
arson offenses brought to their attention. Rural county law
enforcement agencies cleared 22 percent; and those in subur-
ban counties, 19 percent. (See Table 25.)
Regionally, the Southern States recorded a clearance rate of
21 percent; the Western States, 15 percent; the Midwestern
States, 14 percent; and the Northeastern States, 10 percent.
Forty-eight percent of all 1994 arson clearances involved
only young people under age 18, a higher percentage of juve-
nile involvement than for any other Index crime. Persons in
this age group accounted for 31 percent of structural arson
clearances, 30 percent of the clearances for arsons of mobile
property, and 63 percent of those of all other property.
By population grouping, juveniles were the offenders in 50
percent of the city, 46 percent of the suburban county, and 31
percent of the rural county arson clearances.
The accompanying tables show clearance data only for those
11,932 law enforcement agencies which were able to furnish
breakdowns by type for the structural and mobile classifica-
tions. As can be seen, the highest clearance rate (33 percent)
was recorded for arsons of community/public structures, while
the lowest rate (8 percent) was registered for motor vehicles.
Table 2.35 — Arson Offenses Cleared by Arrest1, 1994
[11.932 agencies2; 1994 estimated population 202.943.000]
Property classification
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing ....
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile .
Other
Number
of
offenses
83,928
43.870
18.515
7,597
3,813
719
4,576
5.230
3,420
21,261
19.816
1.445
18.797
Percent
cleared
by arrest
18.5
23.0
23.7
24,5
17.0
13.9
15.9
32.9
18.2
8.7
8.1
16.3
19.1
'Includes offenses cleared by exceptional means.
3To be included in this table, it was necessary that arson clearances be reported by property
classification.
An estimated 20,900 arrests for arson were made during
1994. Fifty-five percent of the arrestees were under 18 years of
age and 70 percent were under 25. Males comprised 85 percent
of all arson arrestees. Seventy-five percent of those arrested
were white, 23 percent were black, and the remainder were of
other races.
Table 2.36 — Arson Offenses Cleared by Arrest1 of Persons under
18 Years of Age, 1994
[11.932 agencies2; 1994 estimated population 202,943,000]
Property classification
Percent
under 18
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile . .
Other
■Includes offenses cleared by exceptional means
2To be included in this table, it was necessary that arson clearances be reported by property
classification
55
Trends for 1993 versus 1994 show arson arrests up 5 percent Nationwide, arrests of juveniles for arson were up 18 per-
nationally and in cities. Suburban counties recorded the largest cent, while adult arrests showed a 7-percent decrease from
increase, 9 percent. An increase of 3 percent occurred in the 1993 to 1994. During the same period, male arrests for arson
rural counties. increased 5 percent and female arrests rose 4 percent. The 1994
arson arrest total for all ages was 7 percent higher than in 1990
and 3 percent above the 1985 level.
56
Crime Index Tabulations
This Section's tabular portions present data on crime in the
United States as a whole; geographic divisions; individual
states; Metropolitan Statistical Areas; cities, towns, and coun-
ties; and college and university campuses. Also furnished in
the following tables are national averages for the value of
property stolen in connection with Crime Index offenses; fur-
ther breakdowns by type for the robbery, burglary, larceny-
theft, and arson classifications; information on the types of
weapons used; and data on the type and value of property
stolen and recovered.
Although the total number of crimes occurring throughout
the Nation is unknown, information on those reported to law
enforcement gives a reliable indication of criminal activity. In
reviewing the tables in this report, it must be remembered,
however, that many factors can cause the volume and type of
crime to vary from place to place. Even though population, one
of these factors, is used in computing crime rates, all commu-
nities are affected to some degree by seasonal or transient
populations. Since counts of current, permanent population are
used in their construction, crime rates do not account for short-
term population variables, such as an influx of day workers,
tourists, shoppers, etc. A further discussion of various factors
contributing to the amount of crime in a given area is shown on
page iv of this publication.
National data can serve as a guide for the law enforcement
administrator in analyzing the local crime count, as well as the
performance of the jurisdiction's law enforcement agency. The
analysis, however, should not end with a comparison based on
data presented in this publication. It is only through an
appraisal of local conditions that a clear picture of the commu-
nity crime problem or the effectiveness of the law enforcement
operation is possible.
National estimates of volume and rate per 100,000 inhabi-
tants for all Crime Index offenses covering the past
two decades are set forth in Table 1, "Index of Crime,
United States, 1975-1994."
Table 2, "Index of Crime, United States, 1994," shows
current year estimates for MSAs, rural counties, and cities and
towns outside metropolitan areas. See Appendix III for the
definitions of these community types.
Provided in Table 3, "Index of Crime, Regional Offense and
Population Distribution, 1994," are data showing the geograph-
ical distribution of estimated Index crimes and population.
When utilizing figures presented on a regional basis in this
publication, the reader is cautioned to consider each region's
proportion of the total United States population. For example,
although the Southern States accounted for the largest volume
of Crime Index offenses in 1994, they also represented the
greatest regional population.
Note
The collection of statistics on arson as a Crime Index
offense began in 1979. However, 1994 annual figures are not
available for inclusion in tables presenting statistics for the
total United States. Arson totals reported by individual
law enforcement agencies are displayed in Tables 8
through 11. Two-year arson trends are shown in Tables 12
through 15.
57
Table 1.— Index of Crime, United States, 1975-1994
Population'
Cnme
Index
total2
Modified
Crime
Index
total3
Violent
crime4
Property
crime4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson1
Number of Offenses
Population by year:
1975-213.124.000
... 11,292,400
1,039.710
10.252.700
20.510
56.090
470.500
492.620
3.265.300
5.977.700
1.009.600
1976-214,659.000
11 .349,700
1,004,210
10.345.500
18.780
57,080
427,810
500.530
3.108.700
6.270.800
966.000
1977-216.332,000
.... 10,984,500
1.029,580
9.955.000
19,120
63,500
412,610
534.350
3.071.500
5.905,700
977.700
1978-218,059,000
... 11 ,209.000
1,085.550
10.123.400
19,560
67,610
426.930
571.460
3.128.300
5,991.000
1.004.100
1979-220,099,000
.... 12,249,500
1.208.030
11.041.500
21,460
76,390
480,700
629.480
3.327.700
6.601,000
1.112,800
1980-225,349,264
.... 1 3.408,300
1.344,520
12.063.700
23.040
82.990
565,840
672.650
3.795.200
7,136,900
1,131.700
1981-229,146,000
.... 13,423,800
1,361,820
12,061.900
22.520
82.500
592,910
663.900
3,779.700
7.194,400
1,087,800
1982-231.534,000
.... 12.974,400
1,322.390
11.652.000
21,010
78.770
553.130
669,480
3.447.100
7.142,500
1.062,400
1983-233.981.000
12,108,600
1.258.090
10.850.500
19,310
78,920
506.570
653,290
3.129,900
6.712,800
1,007.900
1984-236,158.000
11,881,800
1.273.280
10.608,500
18,690
84,230
485.010
685.350
2.984.400
6,591,900
1,032,200
1985-238.740.000
12.431,400
1,328.800
11,102,600
18.980
88,670
497.870
723.250
3.073.300
6.926.400
1,102.900
1986-241.077.000
. 13,211.900
1.489,170
11.722.700
20.610
91,460
542.780
834,320
3.241.400
7.257.200
1.224.100
1987-243.400.000
.... 13.508,700
1.484,000
12.024,700
20.100
91,110
517.700
855,090
3,236.200
7.499.900
1,288.700
1988-245,807.000
.... 13.923,100
1.566,220
12,356,900
20.680
92,490
542.970
910,090
3,218,100
7.705.900
1.432.900
1989-248,239,000
.... 14.251.400
1,646,040
12,605.400
21.500
94,500
578,330
951.710
3,168.200
7.872,400
1,564,800
1990-248,709,873
... 14.475,600
1.820,130
12,655.500
23,440
102,560
639.270
1.054.860
3.073,900
7,945.700
1.635.900
1991-252,177,000
14.872,900
1.911,770
12.961,100
24,700
106,590
687.730
1.092.740
3.157.200
8.142.200
1.661.700
1992-255-082.000
... 14.438.200
1.932.270
12.505.900
23,760
109,060
672,480
1.126.970
2.979.900
7,915.200
1.610.800
1993-257.908.0OO5
.... 14,144.800
1.926.020
12,218,800
24,530
106,010
659.870
1,135.610
2.834.800
7,820.900
1.563.100
1994-260.341,000
.... 13.991.700
1.864.170
12,127,500
23.310
102,100
618.820
1.119.950
2.712.200
7,876.300
1.539.100
Percent change: number of
offenses:
1994/1993
-1.1
-3.2
+2.4
+40.3
-.7
-4.2
+9.2
-5.0
-.6
+22.8
-3.7
-.4
+15.1
-6.2
-3.2
+24.3
-1.4
+6.2
+54.8
-4.3
-11.8
-11.7
+.7
-.9
+ 13.7
-1.5
-5.9
+39.6
1994/1990 .
-3.3
1994/1985 .
+12.6
Rate per 100,000 Inhabitants
Year:
1975
5,298.5
487.8
467.8
4759
4.810.7
4,819.5
4,601.7
9.6
8.8
8.8
26.3
26.6
29.4
220.8
199.3
190.7
231.1
233.2
247,0
1,532.1
1.448.2
1.419.8
2.804.8
2,921.3
2,729.9
473.7
450.0
451.9
1976
5,287.3
1977
5,077.6
1978
5.140.3
497.8
4,642.5
9.0
31.0
195.8
262.1
1.434.6
2,747.4
460.5
1979
5.565.5
548.9
5.016.6
9.7
34.7
218.4
286.0
1,511.9
2.999.1
505.6
1980
5.950.0
5966
5.353.3
10.2
36.8
251.1
298.5
1.684.1
3,167.0
502.2
1981
5.858.2
594.3
571.1
537.7
539.2
556.6
617.7
609.7
637.2
663.1
731.8
758.1
757.5
746.8
5.263.9
5.032.5
4.637.4
4.492.1
4.650.5
4.862.6
4.940.3
5.027.1
5,077.9
5.088.5
5.139.7
4,902.7
4,737.6
9.8
91
8.3
7.9
7.9
8.6
8.3
8.4
8.7
9.4
9.8
9.3
9.5
36.0
34.0
33.7
35.7
37.1
37.9
37.4
37.6
38.1
41.2
42.3
42.8
41.1
258.7
238.9
216.5
205.4
208.5
225.1
212.7
220.9
233.0
257.0
272.7
263.6
255.9
289.7
289.2
279.2
290.2
302.9
346.1
351.3
370.2
383.4
424.1
433.3
441 8
440.3
1.649.5
1.488.8
1,337.7
1,263.7
1.287.3
1.344.6
1,329.6
1.309.2
1.276.3
1,235.9
1.252.0
1.168.2
1.099.2
3,139.7
3,084.8
2,868.9
2,791.3
2,901.2
3,010.3
3.081.3
3,134.9
3,171.3
3.194.8
3.228.8
3.103.0
3.032.4
474.7
458.8
430.8
437.1
462.0
507.8
529.4
582.9
630.4
657.8
659.0
631 5
606.1
1982
5.603.6
1983
5.175.0
1984...
5.031.3
1985 . . .
5.207.1
1986.. ..
5.480.4
1987
5.550.0
1988
5.664.2
1989. . .
5.741.0
1990
5.820.3
1991...
5.897.8
1992. .
5.660 2
1993
5.484.4
1994s
5,374.4
716.0
4,658.3
9.0
39.2
237.7
430.2
1,041.8
3.025.4
591.2
Percent change: rate per 100.0*
M
inhabitants:
1994/1993
-2.0
-4.1
-2.2
+28.6
-1 7
-8.5
+.2
-5.3
-4.3
+ 13.9
-4.6
-4.9
+57
-7.1
-7.5
+14.0
-2.3
+ 14
+42.0
-5.2
-15.7
-19.1
-.2
-5.3
+4.3
-2.5
-10.1
+28.0
1994/1990
-7.7
1994/1985
+3.2
'Populations are Bureau of the Census provisional estimates as of July 1, except 1980 and 1990 which are the decennial census counts.
^Because of rounding, the offenses may not add to totals.
3 Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
4Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the
property crime of arson.
5The forcible rape, robbery, aggravated assault, and motor vehicle theft categories have been adjusted for 1993. See "Crime Trends." page 378 for details.
Complete data for 1994 were not available for the states of Illinois. Kansas, and Montana, therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
All rates were calculated on the offenses before rounding.
58
Table 2.— Index of Crime, United States, 1994
Population1
Crime
Index
total
Modified
Cnme
Index
total2
Violent
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
1 ar\en\-
theft
Motor
vehicle
theft
United States Total .
Rate per 100.000
inhabitants . . . ,
260,341,000
1 3,991, 675
1,864,168
7160
12,127.507
4,658.3
23305
9.0
102,096
39.2
618,817
237.7
119,950
430.2
2,712,156
1,041.8
7,876,254
3,025.4
1339,097
591.2
Metropolitan
Statistical Area
Area actually reporting-1 . .
Estimated totals
Rate per 100,000
inhabitants
Cities outside metropolitan
areas
Area actually reporting4
Estimated totals
Rate per 100.000
inhabitant^ ,
Rural Counties
Area actually reporting4
Estimated totals
Rate per 100.000
inhabitants
207,136,441
97.4%
100.0%
032.121
209,050
5.894.2
1,329.287
90.6%
1.025,262
100.0%
1,134,269
5,317.9
1,875472
87.8%
584,341
100.0%
648,356
1.665.643
1.682,021
95,885
106.719
5003
67,372
75.428
2,034.0
236.6
10,366,478
10.527,029
929.377
1,027,550
4,817.6
516,969
572,928
1.797.4
20.543
20.692
912
1,021
1.360
1.592
5.0
83,997
85,326
41.2
7.548
8.385
7,619
8.385
26.3
594,474
597.567
14,268
15,903
4.785
5.347
966,629
978.436
73,157
81.410
16.8
381.7
53.608
60.104
18
2,272,607
2.304,742
1,112.7
188.430
205.841
180.512
201,573
632.4
6.656.460
6.770.254
3.268.5
696.849
772.728
302.439
333.272
1,045.6
1,437.411
1.452.033
44.098
48.981
34.018
38.083
119.5
'Populations are Bureau of the Census provisional estimates as of luly 1, 1994, atid are subject to change.
:Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
3Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the
property cnme of arson.
4The percentage representing area actually reporting will not coincide with the ratio between reported arid estimated crime totals, since these data represent the sum of the calculations for individual
states which have varying populations, portions reporting, and crime rates.
Complete data were not available for 1994 for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation." pages 377-378
for details.
Table 3. — Index of Crime, Regional Offense and Population Distribution, 1994
Region
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime-
Property
crime2
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
19.7
23.6
34.8
21.8
16.0
21.1
37.9
25.0
18.3
19.8
37.4
24.6
15.6
21.3
38.0
25.1
15.6
19.8
41.7
22.9
13.3
25.8
38.6
22.3
24.2
199
32.4
23.6
15.5
19.2
40.0
25.4
15.2
20.1
40.3
24.4
14.9
22.4
38.3
24.4
20.0
18.4
32.1
29.5
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
2Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larcency-theft, and motor vehicle theft. Data are not included for the
property crime of arson.
-'Because of rounding, percentages may not add to totals.
Complete data were not available for 1994 for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their cnme counts be estimated. See "Offense Estimation," pages 377-378
for details.
59
Table 4. — Index of Crime
: Region, Geographic Division, and State, 1993-1994
Area
Year
Population '
Crime Index total
Modified Cnme
Index total2
Violent crime3
Property cnme1
Murder and non-
negligent manslaughter
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100.000
1993
1994
257,908,000
260341,000
14,144,794
13,991,675
5,484.4
5374.4
-2.0
1,926,017
1,864,168
-3.2
746.8
716.0
-4.1
12,218,777
12,127,507
-.7
4,737.6
4,658.3
-1.7
24,526
23305
-5.0
9.5
9.0
-53
1993
1994
51355,000
51396,000
2368,814
2,232,897
-5.7
4,612.6
4344.5
-5.8
366,162
340312
-7.1
713.0
662.1
-7.1
2,002,652
1,892,585
-5.5
3,899.6
3.682.4
-5.6
4.203
3,644
-133
8.2
7.1
-13.4
1993
1994
13,230.000
13.270.000
586.245
548.893
-6.4
4.431.2
4.136.3
-6.7
71.125
64,910
-8.7
537.6
489.1
-9.0
515.120
483.983
-6.0
3.893.6
3,647.2
-6.3
542
520
-4.1
4.1
3.9
-4.9
Connecticut
1993
1994
3,277,000
3.275.000
152.392
148.946
-2.3
4,650.4
4,548.0
-2.2
14,949
14.916
. 2
456.2
455.5
_ 2
137.443
134,030
-2.5
4,194.2
4.092.5
-2.4
206
215
+4.4
6.3
6.6
+4.8
1993
1994
1.239.000
1.240,000
39.077
40,582
+3.9
3.153.9
3.272.7
+3.8
1.558
1.611
+3 4
125.7
129.9
+3.3
37.519
38,971
+3.9
3,028.2
3.142.8
+3.8
20
28
+40.0
1.6
2.3
+43.8
Massachusetts
1993
1994
6.012.000
6.041.000
294,224
268.281
-8.8
4.893.9
4.441.0
-9.3
48.393
42.749
-11.7
804.9
707.6
-12.1
245,831
225,532
-8.3
4.089.0
3.733.4
-8.7
233
214
-8.2
3.9
3.5
-10.3
New Hampshire
1993
1994
1,125.000
1.137.000
32.681
31,165
-4.6
2.905.0
2.741.0
-5.6
1,550
1.328
-14.3
137.8
116.8
-15.2
31.131
29.837
-4.2
2.767.2
2.624.2
-5.2
23
16
-30.4
2.0
14
-30.0
1993
1994
1.000.000
997,000
44,990
41.067
-8.7
4.499.0
4.119.1
-8.4
4,017
3.744
-6.8
401.7
375.5
-6.5
40.973
37.323
-8.9
4,097.3
3.743.5
-8.6
39
41
+5.1
3.9
4.1
+5.1
Vermont
Percent change
1993
1994
576,000
580,000
22,881
18,852
-17.6
3.972.4
3.250.3
-18.2
658
562
-146
114.2
96 9
-15.1
22.223
18.290
-17.7
3,858.2
3.153.4
-18.3
21
6
-71.4
3.6
1.0
-72.2
1993
1994
38.125,000
38.125.000
1,782.569
1,684.004
-5.5
4.675.6
4.417.1
-5.5
295.037
275.402
-6.7
773.9
722.4
-6.7
1,487,532
1,408.602
-5.3
3.901.7
3.694.7
-5.3
3.661
3.124
-14.7
96
8.2
-14 6
1993
1994
7.879.000
7.904.000
378.257
368.400
-2.6
4,800.8
4.660.9
-2.9
49.390
48.544
-1.7
6269
614.2
-2.0
328.867
319,856
-2.7
4.1740
4.046.8
-3.0
418
396
-5.3
5.3
5.0
-5.7
New York . .
1993
1994
18.197.000
18.169,000
1.010,176
921,278
-8.8
5.551.3
5,070.6
-8.7
195.352
175.433
-10.2
1,073.5
965.6
-10.1
814.824
745.845
-8.5
4.4778
4,105.0
-8.3
2.420
2.016
-16.7
13.3
111
-16.5
1993
1994
12.048,000
12,052,000
394,136
394,326
3.2714
3,271.9
50.295
51.425
+2 2
417.5
426.7
+2.2
343.841
342.901
-.3
2.853.9
2.845.2
-.3
823
712
-13.5
6.8
5.9
-13.2
See footnotes at end of table.
60
Table 4.-
-Index of Crime: Region, Geographic
Division,
and State
1993-1994— Continued
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson2
Number
Rale per
100.000
Number
Rale per
100.000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100.000
Number
Rale per
100.000
106.014
102.096
-3.7
41.1
39.2
-4.6
659,870
618,817
-6.2
255.9
237.7
-7.1
1,135,607
1,119,950
-1.4
440.3
430.2
-2.3
2.834.808
2,712,156
■43
1,099.2
1,041.8
-5.2
7.820,909
7.876,254
+.7
3,032.4
3,025.4
-.2
1.563.060
1,539,097
-1.5
606.1
591.2
-2.5
14,567
13,606
-6.6
28.4
26.5
-6.7
165.648
149,713
-9.6
322.6
291.3
-9.7
181,744
173J49
-4.6
353.9
337.3
-4.7
450,993
413,144
-8.4
878.2
803.8
-8.5
1,210,771
1,171,613
-3.2
2,357.6
2,279.6
-3.3
340,888
307,828
-9.7
663.8
598.9
-9.8
4,149
3,789
-8.7
31.4
28.6
-8.9
18.644
17,837
-4.3
140.9
134.4
-4.6
47,790
42.764
-10.5
361.2
322.3
-10.8
122.421
109.952
-10.2
925.3
828.6
-10.5
313.046
301.393
-3.7
2,366.2
2,271.2
-4.0
79.653
72,638
-8.8
602.1
547.4
-9.1
800
806
+.8
24.4
24.6
+.8
6,447
6,150
-4.6
196.7
187.8
-4.5
7.496
7.745
+3.3
228.7
236.5
+3.4
32,052
29.142
-9.1
978.1
889.8
-9.0
85,876
84.721
-1.3
2,620.6
2.586.9
-1.3
19,515
20,167
+3.3
595.5
615.8
+3.4
329
318
-3.3
26.6
25.6
-3.8
264
278
+5.3
21 .3
22.4
+5.2
945
987
+44
76.3
79.6
+4.3
8.909
8.938
+.3
719.0
720.8
+.3
26.945
28.257
+4.9
2,174.7
2.278.8
+4.8
1,665
1,776
+6.7
134.4
143.2
+6.5
2,006
1,825
-9.0
33.4
30.2
-96
10,563
10.160
-3.8
175.7
168.2
-4.3
35.591
30.550
•14,2
592.0
505.7
-14.6
60,220
53.222
-11.6
1.001 7
881.0
-12.0
136,548
129,962
■4.S
2,271.3
2,151.3
-5.3
49,063
42.348
-13.7
816.1
701.0
-14.1
499
407
-18.4
444
35.8
-19.4
307
308
+.3
27.3
27.1
-.7
721
597
-17.2
64.1
52.5
-18.1
5.795
5.275
-9.0
515 1
463.9
-99
23.153
22,260
-39
2,058.0
1,957.8
^»9
2,183
2,302
+5.5
194.0
202.5
+4.4
286
273
^t.5
28.6
27.4
^1.2
1,011
870
-13.9
101 1
87.3
-13.6
2,681
2.560
-4.5
268.1
256.8
-4.2
10.409
9.101
-12.6
1.040.9
912.8
-12.3
24,101
23.039
^».4
2.410.1
2.310.8
-4.1
6,463
5,183
-19.8
646.3
519.9
-19.6
229
160
-30.1
39.8
27.6
-30.7
52
71
+36.5
9.0
12.2
+356
356
325
-8.7
618
560
-9.4
5,036
4,274
-15.1
874.3
736.9
-15.7
16.423
13.154
-199
2.851.2
2,267.9
-20.5
764
862
+ 12.8
132.6
148.6
+ 12.1
10.418
9.817
-5.8
27.3
25.7
-5.9
147,004
131.876
-10.3
3856
345.9
-10.3
133,954
130.585
-2.5
351.4
342.5
-2.5
328,572
303.192
-7.7
861.8
795.3
-7.7
897.725
870.220
-3.1
2,354.7
2,282.5
-3.1
261.235
235.190
-10.0
685.2
616.9
-10.0
2.215
1.972
-11.0
28.1
24.9
-11.4
23,319
22.762
-2.4
296.0
288.0
-2.7
23.438
23.414
-.1
297.5
296.2
-.4
76.738
72.074
-6.1
974,0
911 9
-6.4
195.876
195.618
-.1
2,486.1
2.474.9
-.5
56,253
52.164
-7.3
714.0
660.0
-7.6
5.008
4.700
-6.2
27.5
25.9
-5.8
102.122
86.617
-15.2
561.2
476.7
-15.1
85.802
82.100
-4.3
471.5
451.9
-4.2
181.709
164.650
-9.4
998.6
906.2
-9.3
481.166
452.322
-6.0
2,644.2
2,489.5
-5.9
151.949
128.873
-15.2
835.0
709.3
-15.1
3.195
3.145
-1.6
265
26.1
-1.5
21.563
22,497
+4.3
179.0
186.7
+4.3
24.714
25.071
+1.4
205.1
208.0
+ 1.4
70.125
66.468
-5.2
582.0
551.5
-5.2
220,683
222,280
+ 7
1,831.7
1.844.3
+.7
53,033
54,153
+2.1
440.2
449.3
+2.1
61
Table 4. — Index of Crime: Region, Geographic Division, and State, 1993-1994 — Continued
Area
Year
Population1
Crime Index total
Modified Crime
Index total2
Violent crime'
Property crime3
Murder and non-
negligent manslaughter
Number
Rate per
KXI.IHK)
Number
Rale per
100,000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100.000
Midwest4'*
1993
1994
61,070,000
6134,000
2,938,762
2,956.825
+.6
4,812.1
4,816.1
+.1
369413
368,824
-.1
604.6
600.7
-.6
2,569,549
2,588,001
+.7
4.207.5
4,215.4
+.2
4,654
4,606
-1.0
7.6
7.5
-1.3
1993
1994
43,017,000
43,184.000
2,130,716
2,138,168
+.3
4.953.2
4.951.3
284,458
283,562
-.3
661.3
656.6
-.7
1.846,258
1.854,606
+.5
4.291.9
4.294.7
+.1
3.584
3,647
+ 1.8
8.3
8.4
+ 1.2
Illinois4
1993
1994
11.697,000
11.752.000
657.129
661,150
+.6
5.617.9
5.625.9
+.1
112.260
112.928
+.6
959.7
960.9
+.1
544.869
548.222
+.6
4,658.2
4,664.9
+.1
1.332
1.378
+3.5
II 4
117
+2.6
1993
1994
5.713.000
5,752.000
255,090
264,180
+3.6
4,465.1
4.592.8
+2.9
27,941
30,205
+8.1
489 1
525.1
+7.4
227.149
233.975
+3.0
3,976.0
4.067.7
+23
430
453
+5.3
7,5
7.9
+5.3
Michigan
1993
1994
9.478,000
9.496.000
516,788
517.076
+.1
5,452.5
5,445.2
-.1
75,021
72.751
-3.0
791.5
766.1
-3.2
441.767
444.325
+.6
4.661.0
4.679.1
+.4
933
927
-.6
9.8
9.8
Ohio
1993
1994
11,091,000
11.102.000
497.465
495.310
-.4
4,485.3
4,461.4
-.5
55.915
53,930
-3.6
504.1
485.8
-3.6
441.550
441,380
3.981.2
3.975.7
-.1
667
662
-.7
6.0
6.0
Wisconsin
Percent change
1993
1994
5.038.000
5.082.000
204.244
200.452
■1.9
4.054.1
3,944.4
-2.7
13,321
13,748
+3.2
264.4
270.5
+2.3
190,923
186.704
-2.2
3.789.7
3.673.8
-3.1
222
227
+2.3
4.4
4.5
+2.3
West North Central4'
1993
1994
18.054,000
18.210,000
808,046
818,657
+ 1.3
4,475.7
4,495.6
+.4
84,755
85.262
+.6
469.5
468.2
-.3
723,29]
733.395
+ 1.4
4,006.3
4,027.4
+.5
1,070
959
-10.4
5.9
5.3
-10.2
Iowa
1993
1994
2,814,000
2.829.000
108,239
103,389
-4.5
3,846.4
3.654.6
-5.0
9.159
8.914
-2.7
325.5
315.1
-3.2
99,080
94,475
-4.6
3.521.0
3,339.5
-5.2
66
47
-28.8
2.3
1.7
-26.1
1993
1994
2,531,000
2,554,000
125,924
124.987
-.7
4.975.3
4.893.8
-1.6
12.564
12.226
-2.7
496.4
478.7
-3.6
113,360
112,761
-.5
4,478.9
4.415.1
-1.4
161
149
-7.5
6.4
5.8
-9.4
1993
1994
4,517,000
4,567,000
199,333
198,253
-.5
4.413.0
4.341.0
-1.6
15.986
16.397
+2.6
353.9
359.0
+ 1.4
183.347
181.856
-.8
4,059.0
3,982.0
-1.9
155
147
-5.2
3.4
3.2
-5.9
Missouri
1993
1994
5,234,000
5.278,000
266,694
280.138
+5.0
5,095.4
5.307.7
+4.2
38,963
39.240
+.7
744.4
743.5
-.1
227,731
240,898
+5.8
4,351.0
4.564.2
+4.9
590
554
-6.1
11.3
10.5
-7.1
Nebraska5
1993
1994
1,607.000
1,623,000
68,796
72.068
+4.8
4,281.0
4,440.4
+3 7
6,071
6,322
+4.1
377.8
389.5
+3.1
62,725
65.746
+4.8
3,903.2
4.050.9
+3.8
63
51
-19.0
3.9
3.1
-20.5
1993
1994
635.000
638,000
17,909
17,455
-2.5
2,820.3
2,735.9
-3.0
522
522
+.0
82.2
81.8
-.5
17.387
16,933
-2.6
2.738.1
2.654.1
-3.1
11
1
-90.9
1.7
2
-88.2
1993
1994
715.000
721.000
21,151
22.367
+5.7
2.958.2
3,102.2
+4.9
1.490
1.641
+ 10,1
208.4
227.6
+9.2
19.661
20.726
+5.4
2.749.8
2.874.6
+4.5
24
10
-58.3
3.4
1.4
-58.8
See footnotes at end of table.
62
Table 4.-
-Index of Crime: Region, Geographic
Division,
and State
1993-1994— Continued
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson-
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100.000
Number
Rate per
100.000
27,039
26347
-2.6
44J
42.9
-3.2
124,671
122,935
-1.4
204.1
200.2
-1.9
212,849
214,936
+1.0
348.5
350.1
+.5
549.398
544,097
-1.0
899.6
886.2
-1.5
1,740,711
1,761,409
+1.2
2,850.4
2,869.0
+.7
279,440
282,495
+1.1
457.6
460.1
+.5
19.733
19.102
-3.2
45.9
44.2
-3.7
101.117
99,571
-15
235.1
230.6
-1.9
160,024
161,242
+.8
372.0
373.4
+.4
391,402
387,885
-.9
909.9
898.2
-1.3
1,240,107
1,247,454
+.6
2.882.8
2.888.7
+.2
214.749
219.267
+2.1
499.2
507.8
+ 1.7
4,046
3.913
-3.3
34.6
33.3
-3.8
44.584
43,788
-18
381.2
372.6
-2.3
62.298
63.849
+2.5
532.6
543.3
+2.0
118,788
118.116
-.6
1.015.5
1.005.1
-1.0
360,730
363,888
+.9
3,084.0
3.096.4
+.4
65,351
66,218
+ 1.3
558.7
563.5
+.9
2.234
2.046
-8.4
39.1
35.6
-9.0
6.845
7,490
+9.4
119.8
130.2
+8.7
18.432
20.216
+9.7
322.6
351.5
+9.0
48,677
48,921
+.5
852.0
850.5
-.2
154.016
160.043
+3.9
2,695.9
2,782.4
+3.2
24,456
25.011
+2.3
428.1
434.8
+1.6
6,740
6,720
-.3
71.1
70.8
-.4
22.601
21,733
-3.8
238.5
228.9
-4.0
44.747
43,371
-3.1
472.1
456.7
-3.3
93.143
91,849
-1.4
982.7
967.2
-1.6
290.333
290.172
-.1
3.063.2
3,055.7
-.2
58.291
62,304
+6.9
615.0
656.1
+6.7
5,444
5,231
-3.9
49.1
47.1
-4.1
21.373
20,821
-2.6
192.7
187.5
-2.7
28.431
27.216
-4.3
256.3
245.1
-4.4
97.394
96,175
-1.3
878.1
866.3
-1.3
295,880
297,792
+.6
2,667.7
2,682.3
+.5
48.276
47.413
-1.8
435.3
427.1
-1.9
1,269
1.192
-6.1
25.2
23.5
-6.7
5.714
5,739
+.4
113.4
112.9
-.4
6.116
6,590
+7.8
121.4
129.7
+6.8
33,400
32,824
-1.7
663.0
645.9
-2.6
139.148
135.559
-2.6
2.762.0
2,667.4
-3.4
18.375
18.321
-.3
364.7
360.5
-1.2
7,306
7,245
-.8
40.5
398
-1.7
23,554
23,364
-.8
130.5
128.3
-1.7
52.825
53,694
+ 1.6
292.6
294.9
+.8
157,996
156,212
-11
875.1
857.8
-2.0
500,604
513,955
+2.7
2.772.8
2,822.4
+1.8
64.691
63,228
-2.3
358.3
347.2
-3.1
686
666
-2.9
24.4
23.5
-3.7
1.517
1.327
-12.5
53.9
46.9
-13.0
6.890
6,874
-.2
244.8
243.0
-.7
20,562
18,872
-8.2
730.7
667.1
-8.7
73,148
70,507
-3.6
2.599.4
2,492.3
^t.l
5,370
5,096
-5.1
190.8
180.1
-5.6
1.016
947
-6.8
40.1
37.1
-7.5
3.128
3,060
-2.2
123.6
119.8
-3.1
8,259
8,070
-2.3
326.3
316.0
-3.2
28,655
28,635
-.1
1.132.2
1.121.2
-1.0
76.538
75,459
-1.4
3.024.0
2,954.5
-2.3
8.167
8,667
+6.1
322.7
339.4
+5.2
2,796
2,725
-2.5
61.9
59.7
-3.6
5,092
5.370
+5.5
112.7
117.6
+4.3
7,943
8,155
+2.7
175.8
178.6
+ 1.6
38.147
36,157
-5.2
844.5
791 .7
-6.3
129,727
131,344
+ 1.2
2,872.0
2.875.9
+.1
15,473
14,355
-7.2
342.6
314.3
-8.3
1.894
1,955
+3.2
36.2
37.0
+2.2
12,654
12,178
-3.8
241.8
230.7
■4.6
23.825
24,553
+3.1
455.2
465.2
+2.2
53,673
55,577
+3.5
1.025.5
1.053.0
+2.7
145,392
158,283
+8.9
2,777.8
2.998.9
+8.0
28,666
27.038
-5.7
547.7
512.3
-6.5
447
500
+11.9
27.8
30.8
+10.8
1,003
1,223
+21.9
62.4
75.4
+20.8
4,558
4,548
-.2
283.6
280.2
-1.2
10,662
10.963
+2.8
663.5
675.5
+ 1.8
46,811
48.547
+3.7
2.912.9
2,991.2
+2.7
5.252
6,236
+ 18.7
326.8
384.2
+17.6
149
149
23.5
23.4
-.4
53
71
+34.0
8.3
111
+33.7
309
301
-2.6
48.7
47.2
-3.1
2,370
2.070
-12.7
373.2
324.5
-13.0
14,073
13,899
-1.2
2,216.2
2,178.5
-1.7
944
964
+2.1
148.7
151.1
+1.6
318
303
-4.7
44.5
42.0
-5.6
107
135
+26.2
15.0
18.7
+24.7
1,041
1.193
+ 146
145.6
165.5
+ 13.7
3.927
3,938
+.3
549.2
546.2
-.5
14,915
15,916
+6.7
2.086.0
2,207.5
+5.8
819
872
+6.5
114.5
120.9
+5.6
63
Table 4. — Index of Crime: Region, Geographic Division, and State, 1993-1994 — Continued
Area
Year
Population1
Crime Index total
Modified Crime
Index total2
Violen
crime-1
Property crime3
Murder and non-
negligent manslaughter
Number
Rate per
100.000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
1993
89,438,000
5,351,303
5,983.3
717,267
697,067
4,634.036
4,606,961
5,180
5,079.8
113
10.7
1994
90,692,000
5,304,028
5,848.4
768.6
9,708
-.9
-2J
-2.8
-4.2
-.6
-2.0
-4.0
-5J
1993
45,738.000
2.896.819
6.333 5
398 635
871 6
1994
46,398.000
2,902.956
6.256.6
385.146
830.1
2.517.810
5.426.5
4.674
101
+.2
-1.2
-3.4
-4.8
+.8
-6
-5.8
-6 5
Delaware -
1993
700.000
34.105
4,872.1
4.801
685.9
29.304
4.186.3
35
5.0
1994
706.000
29.282
4.147.6
3.961
561.0
25.321
3.586.5
33
4.7
-14.1
-14.9
-17.5
-18.2
-13.6
-14.3
-5.7
1993
578,000
67 979
11.761 1
51,091
48.009
8.839.3
8,422.6
1994
570,000
63.186
11.085.3
15,177
2,662.6
399
70.0
-7.1
-5.7
-10.1
-8.9
-6.0
-4.7
-12.1
Florida
1993
13,679.000
1.142.338
8.351.0
164.975
1,206.0
977,363
7,145.0
1,224
8.9
1994
13,953.000
1.151.121
8.250.0
160.016
1,146.8
991,105
7,103.2
1,165
8.3
+.8
-1.2
-3.0
-4.9
+ 1.4
-.6
-4.8
Georgia
1993
6.917,000
428,367
6,193.0
50.019
723.1
378,348
5,469.8
789
114
1994
7,055.000
424,029
6,010.3
47.103
667.7
376.926
5.342.7
703
10.0
-1.0
-3.0
-5.8
-7.7
-.4
-2.3
-10.9
Maryland
1993
4.965.000
303,187
6.106.5
49.540
997.8
253.647
5.108.7
632
12.7
1994
5.006,000
306.496
6,122.6
47,457
948.0
259.039
5.174.6
579
116
+ 1.1
+.3
-4.2
-5.0
+2.1
+ 1.3
-8.4
-8 7
North Carolina
1993
6.945.000
392.555
5,652.3
47,178
679.3
345.377
4.973.0
785
11.3
1994
7.070,000
397,705
5.625.2
46.308
655.0
351.397
4.970.3
772
10.9
+ 1.3
-.5
-1.8
-3.6
+ 1.7
-.1
-1.7
1993
3.643.000
215060
5,903 4
37 281
1 023 4
177 779
1994
3.664,000
219.870
6.000.8
37.756
1.030.5
182.114
4.970.4
353
9.6
+2.2
+1.6
+ 1.3
+.7
+2.4
+ 1.9
-6.4
Virginia
1993
6,491,000
267.135
4.115.5
24,160
372.2
242.975
3.743.3
539
8.3
1994
6.552.000
265.200
4,047.6
23.437
357.7
241,763
3.689.9
571
8.7
-.7
-1.6
-3.0
-3.9
-.5
-1.4
+5.9
West Virginia
1993
1 ,820.000
46.093
2.532.6
3,793
208.4
42.300
2.324.2
126
6.9
1994
1.822.000
46.067
2,528.4
3.931
215.8
42.136
2.312.6
99
5.4
Percent change
-1
-.2
+3.6
+3.6
-.4
-.5
-21.4
-21.7
1993
15 717.000
711,722
4 528 4
611,002
630,911
1.611
1.636
1994
15.890.000
734,802
4.624.3
103,891
653.8
3.970.5
10.3
+3.2
+2.1
+3.1
+2.0
+3.3
+2.1
+1.6
Alabama
1993
4.187,000
204,274
4.878.8
32.676
780.4
171,598
4,098.4
484
116
1994
4.219.000
206,859
4.903.0
28.844
683.7
178,015
4,219.4
501
119
+1.3
+.5
-11.7
-12.4
+3.7
+3.0
+3.5
+2 6
Kentucky
1993
3,789.000
123.509
3.259.7
17.530
462.7
105,979
2.797.0
249
6.6
1994
3.827,000
133.890
3.498.6
23.165
605.3
110.725
2.8933
244
6.4
+8.4
+7.3
+32.1
+30.8
+4.5
+3.4
-2.0
-3 0
Mississippi
1993
2,643,000
116.775
4.418.3
11,467
433.9
105.308
3.984.4
357
13.5
1994
2,669,000
129,101
4,837.1
13.177
493.7
115.924
4.343.3
409
15.3
+ 10.6
+9.5
+14.9
+13.8
+ 10.1
+9.0
+ 14.6
+ 13 3
1993
5,099,000
267,164
5,239.5
39.047
765.8
228,117
4.473.8
521
10.2
1994
5,175,000
264,952
5,119.8
38.705
747.9
226.247
4.371.9
482
9.3
-.8
-2.3
- 9
-2.3
-.8
-2.3
-75
-8 8
West South Central
1993
27,983 000
1 742 762
6 227 9
778 7
1 524 850
5 449 2
3 541
12 7
1994
28,404,000
1.666,270
5,8663
208,030
732.4
1,458.240
5.133.9
3,398
12.0
-4.4
-5.8
-4.5
-5.9
-4.4
-5.8
-4.0
-5 5
1993
2,424,000
116,612
4.810.7
14,381
593.3
102,231
4,217.5
247
10.2
1994
2,453.000
117.713
4.798.7
14,598
595.1
103,115
4,203.6
294
12.0
+ 9
-.2
+ 1.5
+.3
+.9
-.3
+19.0
+ 176
1993
4,295.000
294,061
6.846.6
45.600
1,061.7
248.461
5.784.9
874
20.3
1994
4,315.000
287,857
6,671.1
42.369
981.9
245.488
5.689.2
856
19.8
-2.1
-2.6
-7.1
-7.5
-1.2
-1.7
-2.1
-2 5
Oklahoma
1993
3,231,000
171.058
5.294.3
20,512
634.8
150.546
4.659.4
273
8.4
1994
3,258,000
181,475
5,570.1
21,225
651 5
160.250
4,918.7
226
69
+6.1
+5.2
+35
+2.6
+6.4
+5.6
-17.2
-179
Texas
1993
18,031,000
1.161,031
6.439 1
137.419
762.1
1.023.612
5.677.0
2.147
119
1994
18,378,000
1 .079.225
5.872.4
129,838
706.5
949,387
5.165.9
2.022
11.0
-7.0
-8.8
-5.5
-7.3
-7.3
-9.0
-5.8
-7 6
See footnotes at end of table.
64
Table 4.-
-Index of Crime: Region, Geographic
Division,
and State
1993-1994— Continued
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-Uieft
Motor vehicle theft
Arson2
Number
Rale per
100.000
Number
Rate per
100.000
Number
Rale per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100,000
40,387
39,393
-2.5
4S.2
43.4
-4.0
210,872
200,419
-5.0
235.8
221.0
-6.3
455,895
447,547
-1.8
509.7
493.5
•3.2
1.149,850
1,093,827
-4.9
1,285.6
1.206 1
-6.2
2,986,483
3,019,097
+1.1
3,339-2
3,329.0
-.3
497,703
494,037
-.7
556.5
544.7
-2.1
19,587
19.130
•2.3
42.8
41.2
-3.7
126,250
118,025
-6.5
276.0
254.4
-7.8
247.837
243.317
-1.8
541.9
524.4
-3.2
622.717
589.922
-5.3
1.361.5
1.271.4
-6.6
1,613.636
1.656.372
+2.6
3,528.0
3.569.9
+ 1.2
261.831
271,516
+3.7
572.5
585.2
+2.2
539
534
-.9
77.0
75.6
-1.8
1.307
889
-32.0
186.7
125.9
-32.6
2,920
2,505
-14.2
417.1
354.8
-14.9
6.244
5,580
-10.6
892.0
790.4
-11.4
20,853
17,270
-17.2
2.979.0
2,446.2
-17.9
2,207
2,471
+ 12.0
315.3
350.0
+ 11.0
324
249
-23.1
56 1
43.7
-22.1
7,107
6,311
-11.2
1.229.6
1.107.2
-10.0
9.003
8,218
-8.7
1.557.6
1,441.8
-7.4
11,534
10,037
-13.0
1,995.5
1.760.9
-11.8
31,495
29,711
-5.7
5,449.0
5,212.5
-4.3
8,062
8,261
+2.5
1.394.8
1.449.3
+3.9
7.359
7.301
-.8
53.8
52.3
-2.8
48,913
45,871
-6.2
357.6
328.8
-8.1
107,479
105,679
-1.7
785.7
757.4
-3.6
251.063
237.341
-5.5
1,835.4
1,701.0
-7.3
603.784
626,578
+3.8
4,413.9
4,490.6
+ 1.7
122.516
127,186
+3.8
895.7
911.5
+1.8
2.448
2,448
35.4
34.7
-2.0
17.154
15,703
-8.5
248.0
222.6
-10.2
29.628
28.249
4.1
428.3
400.4
-6.5
90.423
81,406
-10.0
1,307.3
1,153.9
-11.7
246.849
256.208
+3.8
3.568.7
3,631.6
+ 1.8
41,076
39,312
-4.3
593.8
557.2
-6.2
2.185
2,035
-6.9
44.0
40.7
-7.5
21.582
20,147
-6.6
434.7
402.5
-7.4
25.141
24.696
-1.8
506.4
493.3
-2.6
56,246
52,234
-7.1
1.132.8
1,043.4
-7.9
163,471
168,608
+3.1
3,292.5
3,368.1
+2.3
33.930
38,197
+12.6
683.4
763.0
+ 11.6
2.379
2,334
-1.9
34.3
33.0
-3.8
13,364
12,811
-4.1
192.4
181.2
-5.8
30,650
30,391
-.8
441.3
429.9
-2.6
105.270
104,118
-1.1
1,515.8
1,472.7
-2.8
220.071
225,937
+2.7
3.168.8
3,195.7
+.8
20,036
21.342
+6.5
288.5
301.9
+4.6
1.905
1,991
+4.5
52.3
54.3
+3.8
6.825
6,817
-.1
187.3
186.1
-.6
28,174
28,595
+ 1.5
773.4
780.4
+.9
47,695
46,678
-2.1
1.3092
1.274.0
-2.7
117.553
122,252
+4.0
3.226.8
3,336.6
+3.4
12,531
13.184
+5.2
344.0
359.8
+4.6
2,083
1.868
-10.3
32.1
28.5
-11.2
9,216
8,704
-5.6
142.0
132.8
-6.5
12,322
12,294
-.2
189.8
187.6
-1.2
43,338
41,855
-3.4
667.7
638.8
-4.3
181.104
181.619
+.3
2.790.1
2,772.0
-.6
18.533
18.289
-1.3
285.5
279.1
-2.2
365
370
+ 1.4
20.1
20.3
+ 1.0
782
772
-1.3
43.0
42.4
-1.4
2,520
2.690
+6.7
138.5
147.6
+6.6
10.904
10.673
-2.1
599 1
585.8
-2.2
28,456
28.189
-.9
1.563.5
1,547.1
-1.0
2,940
3,274
+ 11.4
161.5
179.7
+ 11.3
6.441
6,594
+2.4
41 0
41.5
+ 1.2
25.009
25,889
+3.5
159.1
162.9
+2.4
67,659
69,772
+3.1
430.5
439.1
+2.0
167.903
166.355
-.9
1.068.3
1.046.9
-2.0
381.773
402,194
+5.3
2,429.0
2,531.1
+4.2
61,326
62,362
+ 1.7
390.2
392.5
+.6
1,471
1,487
+1.1
35.1
35.2
+.3
6.677
7,223
+8.2
159.5
171.2
+7.3
24.044
19,633
-18.3
574.3
465.3
-19.0
45,578
44,064
-3.3
1.088.6
1,044.4
-4.1
111.878
119,951
+7.2
2,672.0
2.843.1
+6.4
14,142
14.000
-1.0
337.8
331.8
-1.8
1.301
1,350
+3.8
34 3
35.3
+2.9
3,425
3,595
+5.0
90.4
93.9
+3.9
12,555
17,976
+43.2
331.4
469.7
+41.7
28.041
28,718
+2.4
740.1
750.4
+1.4
69,745
73,449
+5.3
1,840.7
1,919.2
+4.3
8,193
8,558
+4.5
216.2
223.6
+3.4
1,125
1.212
+7.7
42.6
45.4
+6.6
3.683
4,336
+17.7
139.3
162.5
+16.7
6.302
7.220
+ 14.6
238.4
270.5
+ 13.5
33,985
34,493
+1.5
1.285.8
1,292.4
+.5
62.467
70,621
+13.1
2,363.5
2,646.0
+12.0
8.856
10,810
+22.1
335.1
405.0
+20.9
2,544
2,545
49.9
49.2
-1.4
11,224
10.735
-44
220.1
207.4
-5.8
24,758
24,943
+.7
485.5
482.0
-.7
60,299
59,080
-2.0
1,182.6
1,141.6
-3.5
137.683
138,173
+.4
2.700.2
2,670.0
-1.1
30.135
28,994
-3.8
591.0
560.3
-5.2
14.359
13.669
-4.8
51.3
48.1
-6.2
59.613
56.505
-5.2
213.0
198.9
-6.6
140,399
134,458
-4.2
501 7
473.4
-5.6
359,230
337.550
-6.0
1.283.7
1.188.4
-7.4
991.074
960,531
-3.1
3,541 7
3,381.7
■4.5
174.546
160.159
-8.2
623.8
563.9
-9.6
1.028
1.028
42.4
41.9
-1.2
3.027
3.158
+4.3
124.9
128.7
+3.0
10.079
10,118
+.4
415.8
412.5
-.8
26.646
26,911
+ 1.0
1.099.3
1,097.1
67,767
68,478
+ 1 0
2.795 7
2,791.6
-.1
7.818
7.726
-1.2
322.5
315.0
-2.3
1.817
1.923
+5.8
42.3
44.6
+5.4
12.182
11,530
-5.4
283.6
267.2
-5.8
30.727
28.060
-8.7
715.4
650.3
-9.1
58,768
55,188
-6.1
1.368.3
1,279.0
-6.5
163.334
164,081
+.5
3.802.9
3,802.6
26.359
26.219
-.5
613.7
607.6
-1.0
1,592
1.616
+ 1.5
49 3
49.6
+.6
3,935
4.174
+6.1
121.8
128.1
+5.2
14,712
15,209
+3.4
455.3
466.8
+2.5
39.903
40,764
+2.2
1.235.0
1.251.2
+ 1.3
95.111
104.025
+9.4
2.943.7
3.192.9
+8.5
15,532
15,461
-.5
480.7
474.6
-1.3
9,922
9,102
-8.3
55.0
49.5
-10.0
40.469
37,643
-7.0
224.4
204.8
-8.7
84.881
81,071
-4.5
470.8
441.1
-6.3
233.913
214.687
-8.2
1,297.3
1,168.2
-100
664.862
623.947
-6.2
3.687.3
3,395.1
-7.9
124.837
110,753
-11.3
692.3
602.6
-13.0
65
Table 4. — Index of Crime: Region, Geographic Division, and State, 1993-1994 — Continued
Area
Year
Population1
Crime Index total
Modified Crime
Index total2
Violen
crime'
Property crime3
Murder and non-
negligent manslaughter
Number
Rate per
100.000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
West4
1993
56,044,000
56,859,000
3,485,915
3,497,925
6,220.0
6,151.9
473475
457,965
3,012,540
3,039,960
5375.3
5346.5
5,556
5347
9.9
9.4
1994
805.4
+.3
-1.1
-3.3
-4.6
+.9
-.5
-3.8
-5.1
1993
14 776,000
876 127
5 929 4
950
1.112
6.4
7.3
1994
15,214,000
927,716
6.097.8
88,451
581.4
839,265
5.516.4
+5.9
+2.8
+1.6
-1.3
+6.4
+3.3
+ 17.1
+14.1
Arizona
1993
3,936,000
292.513
7.431.7
28,142
715.0
264,371
6.716.7
339
8.6
1994
4,075,000
322.926
7,924.6
28.653
703.1
294,273
7,221.4
426
10.5
+ 10.4
+6.6
+1.8
-1.7
+ 11.3
+7.5
+25.7
+22.1
Colorado
1993
3,566,000
197.085
5,526.8
20,229
567 3
176,856
4,959.5
206
5.8
1994
3,656,000
194,440
5.318.4
18,632
509.6
175,808
4.808.8
199
5.4
-1.3
-3.8
-7.9
-10.2
-.6
-3.0
-3.4
Idaho
1993
1.099,000
42,258
3.845.1
3,097
281.8
39,161
3.563.3
32
2.9
1994
1,133.000
46.192
4,077.0
3.238
285.8
42,954
3,791.2
40
3.5
+9.3
+6.0
+4.6
+ 1.4
+9.7
+6.4
+25.0
+20.7
Montana4
1993
839.000
40.188
4,790.0
1.489
177.5
38,699
4.612.5
25
3.0
1994
856,000
42.961
5,018.8
1.516
177 1
41,445
4,841.7
28
3.3
+6.9
+4.8
+1.8
-.2
+7.1
+5.0
+12.0
Nevada
1993
1.389,000
85.842
6,180.1
12.157
875.2
73,685
5,304.9
144
10.4
1994
1,457,000
97,290
6,677.4
14,597
1.001.9
82.693
5,675.6
170
11.7
+ 13.3
+8.0
+20.1
+ 14.5
+12.2
+7.0
+18.1
New Mexico
1993
1,616,000
101.260
6,266.1
15,024
929.7
86.236
5.336.4
130
8.0
1994
1 ,654,000
102.346
6.187.8
14,708
889.2
87,638
5,298.5
177
10.7
+1.1
-1.2
-2.1
-4.4
+ 1.6
-.7
+36.2
Utah
1993
1,860.000
97.415
5.237.4
5,599
301.0
91,816
4.936.3
58
3.1
1994
1.908.000
101.142
5.300.9
5,810
304.5
95,332
4,996.4
56
2.9
+3.8
+ 1.2
+3.8
+ 1.2
+3.8
+ 1.2
-3.4
Wyoming
1993
470.000
19.566
4,163.0
1.345
286.2
18.221
3.876.8
16
3.4
1994
476.000
20,419
4.289.7
1,297
272.5
19,122
4,017.2
16
3.4
Percent change
+4.4
+3.0
-3.6
-48
+4.9
+3.6
Pacific
1993
41,269.000
2,609,788
6,323.8
386.293
936.0
2.223.495
5.387.8
4.606
112
1994
41,645.000
2.570,209
6,171,7
369,514
887.3
2.200.695
5,284.4
4,235
10.2
-1.5
-2.4
■4.1
-5.2
-1.0
-1.9
-8.1
Alaska
1993
599,000
33.352
5.567.9
4.557
760.8
28,795
4,807.2
54
9.0
1994
606.000
34.591
5,708.1
4.644
766.3
29,947
4.941.7
38
6.3
+3.7
+2.5
+1.9
+.7
+4.0
+2.8
-29.6
California
1993
31,211,000
2.015.265
6.456.9
336.381
1.077.8
1,678,884
5,379.1
4.096
13 1
1994
31.431,000
1.940.497
6,173.8
318,395
1.013.0
1.622.102
5,160.8
3,703
11.8
-3.7
-4.4
-5.3
-6.0
-3.4
-4.1
-9.6
Hawaii
1993
1,172,000
73.566
6.277.0
3,061
261.2
70.505
6,015.8
45
3.8
1994
1.179.000
78,763
6.680.5
3,091
262.2
75.672
6.418.3
50
4.2
+7.1
+6.4
+ 1.0
+.4
+7.3
+6.7
+ 111
Oregon
1993
3.032,000
174,812
5,765.6
15.254
503.1
159,558
5,262.5
140
4.6
1994
3.086,000
194,307
6,296.4
16,067
520.6
178,240
5,775.8
150
4.9
+ 11.2
+9.2
+5.3
+3.5
+ 11.7
+9.8
+7.1
Washington
1993
5,255,000
312,793
5,952.3
27,040
514.6
285.753
5.437.7
271
5.2
1994
5,343,000
322.051
6,027.5
27,317
511.3
294,734
5.516.3
294
5.5
+3.0
+ 1.3
+ 1.0
-.6
+3.1
+ 1.4
+8.5
1993
121 029
1994
116.248
25,385
90.863
980
Percent change
-4.0
-3.6
-4.0
+3.4
'Populations are Bureau of the Census provisional estimates as of July 1 and are subject to change and may not add to totals due to rounding
2Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
3Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary. larceny- theft, and motor vehicle theft. Data are not included for the
property crime of arson.
^Complete data for 1994 were not available for the states of Illinois. Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
5The forcible rape, robbery, aggravated assault, and motor vehicle theft categories have been adjusted for 1993. See "Crime Trends," page 378 for details.
includes offenses reported by the Zoological Police.
The 1994 Bureau of the Census population estimate for Puerto Rico was not available prior to publication; therefore, no population or rates per 100.000 inhabitants are provided. Data for Puerto Rico
are not included in totals.
Offense totals are based on all reporting agencies and estimates for unreported areas.
66
Table 4.-
-Index of Crime: Region, Geographic
Division,
and State
1993-1994— Continued
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson-
Number
Rale per
100.000
Number
Rale per
KHI.(KK)
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
KXI.IIIMI
Number
Rate per
100,000
Number
Rate per
100.000
24,021
22,750
-5J
42.9
40.0
-6.8
158,679
145,750
-8.1
283.1
256J
-9.5
285,119
284,118
-.4
508.7
499.7
-1.8
684,567
661.088
■3.4
1,221.5
1.162.7
-4.8
1,882,944
1,924,135
+2.2
3,359.8
3384.0
+.7
445,029
454,737
+2.2
794.1
799.8
+.7
6.421
6,426
+.1
43.5
42.2
-3.0
19,162
19,755
+3.1
129.7
129.8
+.1
60.549
61.158
+1.0
409.8
402.0
-1.9
165.027
168,191
+ 1.9
1,116.9
1,105.5
-1.0
547.845
582.707
+6.4
3.707.7
3,830.1
+3.3
76.173
88.367
+16.0
515-5
580.8
+12.7
1.488
1,465
•15
37.8
36.0
-4.8
6,412
6,601
+2.9
162.9
162.0
-6
19.903
20,161
+ 1.3
505.7
494.7
-2.2
57.684
60.157
+43
1.465.5
1.476.2
+.7
172.689
190.649
+ 10 4
4.387.4
4.678.5
+6.6
33,998
43.467
+27.9
863.8
1.066.7
+23.5
1,633
1,579
-3.3
45.8
43.2
-5.7
4.160
3.910
-6.0
116 7
106.9
-8.4
14.230
12.944
-9.0
399.0
354.0
-11.3
36.01 1
33.843
-6.0
1.009.8
925.7
-8.3
124.787
127.600
+2.3
3,499.4
3.490.2
-.3
16.058
14.365
-10.5
450.3
392.9
-12.7
388
316
-18.6
35.3
27.9
-21.0
186
209
+ 124
169
18.4
+8.9
2.491
2.673
+7.3
226.7
235.9
+4 1
7.350
8.147
+ 10.8
668.8
719,1
+7.5
29,795
32.597
+9.4
2,711.1
2.877.1
+6 1
2.016
2.210
+9.6
183.4
195.1
+6.4
234
233
-.4
27.9
27.2
-2.5
272
280
+2.9
32.4
32.7
+.9
958
975
+ 1.8
114.2
113 9
-.3
5.992
6.178
+3.1
714.2
721.7
+ 1 1
30,641
32,817
+7.1
3,652.1
3.833.8
+5.0
2.066
2,450
+ 18.6
246.2
286.2
+ 16.2
846
1,001
+ 18 3
60.9
68.7
+ 12.8
4,724
5.134
+8.7
340.1
352.4
+3.6
6,443
8,292
+28.7
463.9
569.1
+22.7
17,293
19.735
+14.1
1.245.0
1,354.5
+8.8
46.137
51.893
+12.5
3.321 6
3,561.6
+7.2
10,255
11,065
+7.9
738.3
7594
+2.9
842
866
+2.9
52.1
52.4
+.6
2.237
2,329
+4.1
138.4
140.8
+ 17
11.815
11.336
-4.1
731.1
685.4
-6 3
22.966
21.945
-44
1,421.2
1,326.8
-6.6
56.723
57.343
+ 1.1
3.510.1
3,466.9
-1.2
6.547
8,350
+27.5
405.1
504.8
+24.6
829
806
-2.8
44.6
42.2
-5.4
1.090
1,213
+11.3
58 6
63.6
+8.5
3.622
3,735
+3.1
1947
195.8
+.6
14.708
15.089
+2.6
790.8
790.8
72.603
74,554
+27
3.903.4
3.907.4
+.1
4.505
5.689
+26.3
242.2
298.2
+23.1
161
160
-.6
34.3
33.6
-2.0
81
79
-2.5
17.2
16.6
-3.5
1.087
1.042
-4.1
231.3
218.9
-5.4
3.023
3,097
+2.4
643.2
650.6
+ 1.2
14.470
15.254
+5.4
3.078.7
3.204.6
+4.1
728
771
+5.9
154.9
162.0
+4.6
17,600
16.324
-7.3
42.6
392
-8.0
139,517
125.995
-9.7
338.1
302.5
-10.5
224,570
222.960
-.7
544.2
535.4
-1.6
519.540
492.897
-5.1
1.258.9
1.183.6
-6.0
1.335,099
1.341,428
+.5
3.235.1
3,221.1
-.4
368,856
366.370
-.7
8938
8797
-1.6
502
418
-16.7
83.8
69.0
-17.7
733
886
+20.9
122.4
146.2
+19.4
3.268
3.302
+1.0
545.6
544.9
-.1
4,893
4.848
-.9
816.9
800.0
-2.1
21.201
21.824
+2.9
3,539.4
3,601.3
+ 1.7
2.701
3.275
+21.3
450.9
540.4
+19.8
11.766
10.984
-6.6
37.7
34.9
-7.4
126,436
112.160
-11.3
405.1
356.8
-11.9
194.083
191.548
-1.3
621.8
609.4
-2.0
414,182
384.257
-7.2
1.327.0
1.222.5
-7.9
945.407
929.640
-1.7
3,029.1
2,957.7
-2.4
319.295
308.205
-3.5
1.023.0
980.6
-4.1
394
359
-8.9
33.6
30.4
-9.5
1.214
1.221
+.6
103.6
103.6
1,408
1,461
+3.8
1211 1
123.9
+3.2
13.310
14.029
+5.4
1.135.7
1.189.9
+4.8
51.912
55.260
+6.4
4,429.4
4,687.0
+5.8
5.283
6.383
+20.8
450.8
541.4
+20.1
1.554
1.333
-14.2
51.3
43.2
-15.8
3.930
4,264
+8.5
129.6
138.2
+6.6
9.630
10.320
+7.2
317.6
334.4
+5.3
31.072
33.970
+9.3
1,024.8
1.100.8
+7.4
110.878
122,506
+10.5
3.656.9
3.969.7
+8.6
17.608
21.764
+23.6
580.7
705.2
+21.4
3.384
3,230
-4.6
64.4
60.5
-6.1
7,204
7,464
+3.6
137.1
139.7
+ 1.9
16.181
16.329
+.9
307.9
305.6
. 7
56,083
55.793
-.5
1.067 2
1.044.2
-2 2
205.701
212.198
+3.2
3.914.4
3,971.5
+ 1.5
23.969
26.743
+ 11.6
456.1
500.5
+9.7
401
396
-1.2
18.181
17.625
-3.1
6.806
6.384
-6.2
33,636
31,160
-7 4
43.468
42.062
-3.2
17.589
17,641
+.3
67
Table 5.— Index of Crime, State, 1994
Population
Crime
Index
total
Modified
Crime
Index
total '
Violent
crime-
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals . . . .1
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
Estimated totals
Stale Total
Rate per 100,000
inhabitants
ALASKA
Metropolitan Statistical
Area
Area actually reporting ....
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
State Total
Rate per 100,000
inhabitants. ,
ARIZONA
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
ARKANSAS
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
State Total
Rate per 100,000
inhabitants
CALIFORNIA
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
68
2,844.620
99.3%
165,950
100.0%
166,983
580,449
94.9%
29.283
100.0%
30,867
793.931
91,1%
8,206
100.0%
9,009
4419,000
206,859
4,903.0
253,667
100.0%
18,662
161.730
83.6%
8,260
100.0%
9,880
190,603
100.0%
6,049
606.000
34,591
3.449,492
99.5%
292,699
100.0%
294,162
312.782
90.3%
19,422
100.0%
21.515
312,726
100.0%
7,249
4,075,000
322,92*
7,924.6
1,097,217
99.7%
74,732
100.0%
74,937
534.246
99.7%
30.069
100.0%
30,161
821.537
100.0%
12,615
2,453,000
117,713
30.378.451
99.9%
1,887,635
100.0%
1,888,153
431,338
98.7%
30,887
100.0%
31,301
621.211
100.0%
21.043
31,431,000
1,940,497
22.992
23.123
4.177
4.403
1.201
1,318
28,844
683.7
2,478
943
1,128
1,038
4,644
766.3
26,037
26.136
1.29!
1.430
1,087
28,653
703.1
10,567
10.584
2.953
2,962
1.052
14,598
595.1
312,223
312,294
3.506
3.553
2,548
318,395
142,968
143,860
25,106
26.464
7,005
7,691
178,015
4,219.4
16.184
7,317
8.752
5.011
29,947
4,941,7
266.662
268.026
18,131
20.085
6,162
294,273
64,165
64.353
27.116
27.199
11.563
103,115
4.203.6
1,575,412
1,575.859
27,381
27.748
18.495
1,622,102
384
385
64
67
45
49
501
385
385
27
426
165
165
67
294
6,173.8
3,653
3,654
3,703
11.8
1.195
1,202
176
186
90
99
1,487
35.2
146
418
1,315
1.320
55
1.465
668
670
217
218
140
1,028
10,675
10,678
136
138
168
10.984
34.9
6.478
6,512
575
606
96
105
7,223
171.2
105
126
6,281
6,303
233
258
40
6,601
2,413
2,418
633
635
105
3,158
111.500
1 1 1 .524
497
504
132
112.160
356.8
14,935
15,024
3,362
3.544
970
1,065
19,633
465.3
1.529
771
922
851
3,302
18,056
18.128
964
1.068
965
20,161
7,321
7,331
2,041
2,047
740
10,118
186,395
186.438
2,852
2,890
2,220
191.548
609.4
34.407
34,598
5.767
6,079
3,085
3,387
44,064
1.044 4
2,276
909
1,087
1,485
4,848
800.0
54.258
54,543
3,240
3,589
2,025
60,157
1,476.2
16.074
16,111
6.465
6.485
4,315
26,911
370,189
370,291
6.944
7.037
6.929
384.257
96.232
96,869
18.261
19,249
3.491
3,833
119,951
2.843.1
11.717
5,852
7.000
3,107
21,824
3.601.3
170,514
171.427
13.972
15,478
3,744
190,649
4,678.5
42,872
43.009
19.045
19.103
6.366
68,478
2,791.6
901.626
901.894
17.966
18.207
9.539
929,640
12.329
12,393
1,078
1.136
429
471
14,000
331.8
2.191
556
665
419
3,275
41,890
42.056
919
1.018
393
43,467
1.066.7
5,219
5.233
1.606
1.611
882
7,726
1,222.5 2,957.7
303.597
303,674
2,471
2.504
2.027
308,205
980.6
Table 5.— Index of Crime, State, 1994 — Continued
Population
Crime
Index
total
Modified
Cnme
Index
total '
Violent
cnme2
Property
crime1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
COLORADO
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas. . . .
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
CONNECTICUT
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas. . . .
Area actually reporting
Rural
Area actually reporting
State Total
Rale per 100,000
inhabitants
DELAWARE
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas. . . .
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
DISTRICT OF COLUMBIA4
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas. . . .
Rural
State Total
Rate per 100,000
inhabitants
FLORIDA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals ,
Cities outside metropolitan areas. . .
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
2.980,831
99.8*
163.062
100.0*
163,395
310.324
95.2%
20,774
100.0*
21,826
364.845
95.9*
8.842
100.0*
9,219
3.656.000
194,440
570,000
100.0*
NONE
NONE
570,000
5,318 4
3,017,408
100.0*
143,330
66,775
100.0*
2,095
190,817
100.0*
3,521
3,275,000
148,946
587,470
99.9*
24,444
100.0%
24,456
29,401
100.0%
1,884
89.129
100.0*
2,942
706,000
29,282
4,147.6
63,186
63,186
11.085.3
12,975,795
98.3%
1.083,977
100.0%
1,102,504
220,734
95.1%
17.747
100.0%
18,655
756,471
98.9%
29,619
100.0%
29,962
13,953,000
1.151.121
16,722
16,759
1,118
1,176
668
697
18,632
5096
14,278
140
498
14,916
455.5
3,180
3,181
564
3,961
15,177
15,177
2,662.6
8,250.0
151.110
153,172
2,272
2,388
4,405
4,456
160,016
1,146.8
146.340
146,636
19,656
20,650
8,174
8.522
175,808
4,808.8
129.052
1,955
3,023
134,030
4,092.5
21.264
21,275
1,668
2,378
25,321
3.586.5
48,009
48,009
8,422.6
932.867
949,332
15.475
16.267
25,214
25,506
991,105
7.103.2
170
170
15
16
199
209
1
5
215
6.6
399
399
70.0
1,100
1,113
34
34
1,165
1.405
1.408
109
US
54
56
1.579
43.2
741
15
50
806
24,6
418
418
104
534
75.6
249
249
43.7
6.723
6,803
99
104
389
394
7,301
52.3
3.760
3,766
115
121
22
23
3,910
1069
6,081
36
33
6,150
187.!
795
795
52
889
6,311
6311
1,107.2
44,259
44,878
506
532
456
461
45,871
328.8
11,387
11.415
882
927
577
602
12,944
354.0
410
7,745
1,944
1.945
398
2,505
8,218
1,441.8
99.028
100.378
1 ,650
1.734
3.526
3,567
105,679
757 4
28,830
28,881
2,860
3.005
1,877
1,957
33,843
925.7
27,732
425
985
29,142
4,275
4.277
964
5,580
10.037
10,037
1.760.9
220,679
224,296
3.807
4,002
8,939
9,043
237 341
1,701.0
104,236
104,460
16,177
16,995
5.894
6.145
127,600
3.4902
81.522
1,419
1,780
84,721
14.619
14.627
1,350
17.270
2,446.2
29.711
29,711
5,212.5
589,850
600.670
10,677
11,223
14.517
14,685
626,578
4.490.6
13.274
13.295
619
650
403
420
14365
392 9
19,798
111
258
20,167
615.8
2,370
2,371
36
64
2,471
350.0
8,261
8.261
1.449.3
122,338
124,366
991
1.042
1.758
1,778
127,186
911 5
69
Table 5.— Index of Crime, State, 1994 — Continued
Area
Population
Crime
Index
total
Modified
Cnme
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
GEORGIA
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
Estimated totals
Stale Total
Rate per 100,000
inhabitants ,
HAWAII
Metropolitan Statistical
Area
Area actually reporting . . .
Cities outside metropolitan areas
Area actually reporting . . .
Rural
Area actually reporting . . .
State Total
Rate per 100,000
inhabitants
IDAHO
Metropolitan Statistical
Area
Area actually reporting . .
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
Estimated totals
State Total
Rate per 100,000
inhabitants
State Total
Rate per 100,000
inhabitants. . .
4.780,950
97.0%
321,809
100.0%
330,278
853.844
90.1%
52,155
100.0%
57,883
1 .420.206
88.4%
31.716
100.0%
35.868
7,055,000
424,029
11,752,000
INDIANA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table
6.010.3
880,687
100.0%
60,825
39,555
100.0%
2.828
258.758
100.0%
15.110
,179,000
78,763
6,680.5
339,901
100.0%
17,353
397,899
98.5%
20,322
100.0%
20,629
395.200
98.3%
8.076
100.0%
8,210
1,133,000
46,192
4,077.0
661,150
5,625.9
4,120.003
78.5%
182,374
100.0%
214,742
575,599
70.6%
21,080
100.0%
29,862
1 .056,398
44.0%
8.613
100.0%
19,576
5,752,000
264,180
35.545
36.194
6.253
6.940
3,510
3,969
47,103
667.7
1,130
112,928
960.9
4,592.8
21,807
24,285
2,303
3,262
1.170
2,658
30405
525.1
286,264
294,084
45.902
50,943
28,206
31,899
376,926
5.342.7
2,528
58,297
109
2.719
454
14.656
3.091
75,672
16.223
1,272
19,050
1.291
19.338
804
7,272
817
7.393
3438
42,954
548,222
4.664.9
160.567
190,457
18,777
26,600
7.443
16,918
233,975
4.067.7
539
549
81
90
57
64
703
13
13
19
19
411
3.5
1.378
11.7
345
369
63
453
1.855
1,899
251
279
239
270
2,448
34.7
76
359
114
116
75
76
316
3.913
33.3
1,482
1,661
134
190
86
195
2,046
35.6
13,556
13,797
1,328
1,474
382
432
15,703
222.6
1.058
34
129
1.221
103.6
99
100
23
23
209
43,788
372.6
6.554
7,027
231
327
60
136
7,490
130.2
19.595
19,949
4,593
5,097
2,832
3,203
28449
400.4
1.169
54
238
1,461
123.9
1.046
1,062
687
699
2,673
235.9
63,849
543.3
13.426
15,228
1.923
2,724
996
2,264
20416
351.5
58,922
60,402
9,640
10,699
9.112
10,305
81,406
1,153.9
10.018
605
3,406
14,029
1,189.9
3,022
3,068
2,046
2,080
8,147
719.1
118.116
1,005.1
33.349
38.564
3,449
4.886
2,407
5,471
48,921
850.5
193.602
199.090
34,213
37,970
16,931
19,148
256,208
3.631.6
42.552
2.038
10.670
S5460
4,687.0
15,184
15.413
4.733
4,812
32.597
2.877.1
363,888
3,096.4
107,589
1 29,626
14,251
20,188
4,500
10,229
160,043
2.782.4
33,740
34.592
2,049
2.274
2,163
2.446
39,312
557.2
5.727
76
580
6,383
844
857
493
501
2410
195.1
66.218
563.5
19.629
22,267
1.077
1,526
536
1.218
25.011
434.8
70
Table 5.— Index of Crime, State, 1994 — Continued
Population
Crime
Index
total
Modified
Crime
Index
total '
Violent
crime-
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
IOWA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
Slate Total
Rate per 100.000
inhabitants
KANSAS5
Slate Total
Rale per 100,000
inhabitants
KENTUCKY
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
LOUISIANA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100.000
inhabitants
MAINE
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
See footnotes at end of table
1,240,100
97.7%
65,905
100.0%
66.721
697,099
84.4%
22,375
100.0%
26,522
891,801
87.9%
8.918
100.0%
10,146
2,829,000
103,389
2,554,000
124,987
4,893.8
1,855.485
99.1%
87.197
100.0%
88.026
605.549
93.8%
24.412
100.0%
26.031
1.365,966
99.5%
19.744
100.0%
19,833
3,827,000
133,890
3.4986
3.237.253
96.5%
238.107
100.0%
244,684
379.071
75.5%
20,398
100.0%
27,006
698.676
92.3%
14,927
100.0%
16,167
4315,000
287,857
6,671.1
455,552
100.0%
18,364
438,173
99.0%
15,645
100.0%
15,797
346,275
100.0%
6.421
1,240,000
40,582
6.651
59,254
6.726
59,995
1.378
20,997
1.634
24,888
487
8.431
554
9,592
8,914
94,475
12,226
478.7
1 3,942
14,076
3.832
4.087
4.980
5.002
23,165
605.3
33,785
34,623
3.141
4.159
3.312
3,587
42,369
981.9
940
449
454
217
1,611
3.272.7
112,761
4,415.1
73,255
73,950
20.580
21.944
14.764
14.831
110,725
2.893.3
204,322
210.061
17,257
22,847
11,615
12,580
245,488
5.689.2
17.424
15.196
15.343
6.204
38,971
3.142.8
149
5.8
140
140
10
II
93
93
244
6.4
759
769
24
32
51
55
856
2.3
461
469
123
146
45
51
666
23.5
947
37.1
691
695
184
196
457
459
U50
35.3
1.579
1,617
92
122
170
184
1,923
44.6
99
100
90
318
25.6
1.194
1,201
86
102
21
24
1J27
46.9
3,060
119.8
3.016
3.035
374
399
160
161
3,595
93.9
10.662
10,826
396
524
166
180
11,530
267.2
23
278
22.4
4,960
5,020
1.164
1.380
417
474
6,874
243.0
8,070
316.0
10.095
10.206
3.264
3.481
4.270
4.289
17,976
469.7
20.785
21.411
2,629
3,481
2,925
3,168
28,060
650.3
279
282
96
987
79.6
11.485
11.663
3,643
4,318
2,541
2.891
18,872
667.1
28.635
1.121.2
17,687
17,818
4,590
4,894
5.979
6,006
28,718
750.4
45,289
46.488
3.755
4.971
3,443
3,729
55,188
1.279.0
2,859
2,887
2,553
8,938
720.8
44,296
44.818
16.458
19.508
5,433
6,181
70,507
2,492.3
75,459
2.954.5
49.702
50,225
14,747
15,725
7,465
7,499
73,449
1.919.2
134.828
138.862
12,743
16.871
7.708
8,348
164,081
3,802.6
11,725
11,838
3,282
28,257
2.278.8
3,473
3,514
896
1,062
457
520
5,096
180.1
8.667
339.4
5.866
5.907
1.243
1.325
1 .320
1.326
8,558
223.6
24.205
24,711
759
1.005
464
503
26,219
607.6
612
618
369
1,776
143.2
71
Table 5.— Index of Crime, State, 1994— Continued
Area
Population
Crime
Index
total
Modified
Crime
Index
total ■
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
theft
MARYLAND
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolian areas
Area actually reporting . . .
Rural
Area actually reporting . . .
State Total
Rate per 100,000
inhabitants
MASSACHUSETTS
Metropolitan Statistical
Area.
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
State Total
Rate per 100,000
inhabitants
MICHIGAN
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
Estimated totals
State Total
Rate per 100.000
inhabitants
MINNESOTA
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas.
Area actually reporting
Rural
Area actually reporting
Slate Total
Rate per 100,000
inhabitants
MISSISSIPPI
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table
4,645.746
99.9%
290,193
100.0%
290.248
92.044
100.0%
9,639
268,210
100.0%
6,609
S.006,000
306,496
6.122.6
5,749,652
90.1%
237,298
100.0%
255,268
279.032
61.3%
7,905
100.0%
12,904
12,316
100.0%
109
6,041,000
268 ,281
4,441.0
7.849.642
93.4%
443,404
100 0%
467,125
606.874
91.5%
21.126
100.0%
23,100
1.039.484
97.1%
26,060
100.0%
26,851
9,496,000
517,076
5,445.2
3.166.784
100.0%
156.241
523,842
100.0%
24,373
876,374
100.0%
17,639
4,567,000
198453
4,341.0
922,538
76.0%
57,000
100.0%
64.172
634,858
64.6%
31.488
100.0%
48,742
1,111,604
25.7%
4,161
100.0%
16,187
2,669,000
129.101
45,383
45.389
1,100
968
47,457
38.367
40,582
1.294
2.112
55
42,749
707.6
65.990
68,258
1,359
1.486
2,918
3,007
72,751
766.1
14.426
994
977
16,397
359.0
5.771
6.353
3,003
4,649
559
2,175
13.177
493.7
244,810
244.859
5.641
259.039
5.174.6
198.931
214,686
6,611
10.792
54
225432
3.733.4
377,414
398,867
19.767
21.614
23,142
23.844
444.325
4,679.1
141,815
23,379
16,662
181,856
3.982.0
51.229
57.819
28.485
44.093
3,602
14,012
115,924
4.343.3
568
568
579
11.6
203
209
214
3.5
882
899
24
25
927
9.8
124
7
16
147
146
173
67
104
34
132
409
1.898
1,898
52
85
2.03S
40.7
1,609
1.709
70
114
1,825
30.2
4,929
5,182
377
412
1,093
1.126
6,720
70.8
1.992
340
393
2,725
459
560
255
395
66
257
1,212
45.4
19.798
19.800
126
20.147
402.5
9.746
10.069
10.160
168.2
21.105
21,553
74
81
96
99
21,733
228.9
5,264
76
30
5370
2.723
2.843
793
1.228
68
265
4.336
162.5
23.119
23.123
824
749
24,696
493.3
26.809
28,595
1,165
1.902
53
30450
39.074
40.624
905
990
1,705
1,757
43371
456.7
7.046
571
538
8,155
2,443
2,777
1.888
2,922
391
1,521
7,220
270.5
48.761
48,769
1.701
1,764
52434
1.043.4
46,697
50,360
1.749
2.855
7
53,222
76.709
80.360
2.590
2,832
8,402
8,657
91,849
967.2
27,439
3,247
5,471
36,157
791 7
14.362
16.815
7.367
11,403
1,613
6,275
34,493
1,292 4
158.514
158.551
6,453
3,604
168,608
3.368.1
112.933
122.659
4,451
7,266
37
129,962
242,457
257,985
16.525
18,069
13.702
14.118
290,172
3.055.7
102,433
18.881
10,030
131344
!.875.9
30,149
33.850
19,460
30,123
1.709
6,648
70,621
2,646.0
37,535
37,539
385
273
38,197
763.0
39.301
41,667
411
671
10
42.348
58,248
60.522
652
713
1,038
1,069
62304
656.1
I 1 .943
1.251
1. 161
14355
6,718
7,154
1,658
2,567
280
1,089
10.810
405.0
72
Table 5.— Index of Crime, State, 1994 — Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
MISSOURI
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
MONTANA5
State Total
Rate per 100,000
inhabitants
NEBRASKA
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100.000
inhabitants
NEVADA
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
NEW HAMPSHIRE
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table
3.603.313
96.4%
233.750
100.0%
238,228
487.299
90.2%
23.602
100.0%
26,153
1,187,388
55.8%
8.787
100.0%
15.757
5,278,000
280,138
856.(100
42,961
5.018.8
821.142
100.0%
49,520
386.109
99.1%
16.820
100.0%
16,969
415,749
99.5%
5.550
100.0%
5.579
1,623,000
72.068
1,235,926
100.0%
89,103
42.927
57.4%
1,275
100.0%
2,220
178.147
100.0%
5.967
1,457.000
97.290
670,090
95.2%
19,357
100.0%
20,254
324,890
76.8%
7,590
100.0%
9.881
142.020
92.3%
953
100.0%
1.030
,137,000
31,165
34.210
34.578
2.080
2.305
1.314
2.357
39J40
743.5
1,516
177.1
13.528
99
173
896
14,597
199,540
203,650
21,522
23.848
7,473
13.400
240.898
4,564.2
41,445
4,841.7
550
16,270
555
16,414
270
5,280
271
5.308
6J22
65,746
4,050.9
1.176
2,047
5,071
82,693
5,675.6
712
18.645
739
19.515
399
7,191
519
9,362
66
887
70
960
328
29,837
490
494
20
36
554
1
8
170
1,518
1,548
174
193
119
214
1,955
370
233
27.2
112
113
38
38
500
30.8
50
1.001
198
207
140
182
17
18
407
11,747
11,823
247
274
45
81
12,178
230.7
280
32.7
61
62
13
13
1,223
75.4
47
5,134
246
251
41
53
4
4
308
20,455
20,713
1,637
1,814
1.130
2,026
24,553
465.2
975
113.9
3.958
375
378
211
212
4,548
280.2
68
118
791
8,292
259
272
215
280
42
45
597
45.115
45,971
3,746
4,151
3,042
5.455
55,577
1.053.0
6,178
721.7
7,585
2.061
2,079
1,292
1,299
10,963
675.5
17.793
2.6242
301
524
1.418
19,735
1,354,5
3,290
3,435
1.193
1,553
265
287
5,275
463.9
129,788
132.679
16,720
18,527
3.947
7,077
158.283
2,998.9
32,817
3.833.8
31.088
13,625
13,746
3,694
3,713
48,547
2,991.2
803
1,398
3,351
51,893
3,561.6
13.540
14.171
5.730
7,460
581
629
22.260
1.957.8
24,637
25,000
1,056
1,170
484
868
27,038
512.3
2,450
286.2
5.351
584
589
294
296
6,236
384.2
10.638
72
125
302
11,065
759.4
1,815
1,909
268
349
41
44
2,302
202.5
73
Table 5.— Index of Crime, State, 1994 — Continued
Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY
Metropolitan Statistical
Area
Area actually reporting ....
Cities outside metropolitan areas.
Rural
Stale Total
Rate per 100,000
inhabitants
NEW MEXICO
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
Estimated totals
State Total
Rale per 100,000
inhabitants
NEW YORK
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
State Total
Rate per 100,000
inhabitants
NORTH CAROLINA
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
Estimated totals
State Total
Rate per 100.000
inhabitants
NORTH DAKOTA
Metropolitan Statistical
Area
Area actually reporting ....
Estimated totals
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
7.904,000
100.0%
NONE
NONE
7,904,000
368,400
368,400
4,660.9
926.923
77.7%
59.031
100.0%
64.255
428.168
77.2%
22,463
100.0%
29.084
298,909
58.1%
5,231
100.0%
9.007
1.654,000
1112.146
6.187.8
16.668.615
99.8%
875,318
100.0%
876,237
644,500
95.9%
24,947
100.0%
26,003
855,885
100.0%
19,038
18,169,000
921,278
4,688,768
99 4%
295.085
100.0%
296.437
713.386
94.1%
56,160
100.0%
59.658
1,667.846
98.0%
40,761
100.0%
41.610
7,070,000
397,705
5,625.2
265.169
99.8%
10.713
100.0%
10.732
145,544
97.8%
4.473
100.0%
4,573
227,287
95.6%
2,055
100.0%
2.150
638,000
17,455
48,544
614.2
8.896
9,511
2.682
3.472
1.002
1,725
14,708
889.2
171,152
171,234
2.154
2,245
1.954
175,433
35.264
35.382
6,356
6,752
4,088
4,174
46308
6550
319,856
319,856
4.046.8
50,135
54,744
19,781
25,612
4,229
7,282
87,638
5,298.5
704,166
705.003
22,793
23.758
17,084
745,845
4.105.0
259,821
261.055
49,804
52.906
36,673
37,436
351397
4,970.3
334
10,379
335
10.397
115
4.358
117
4,456
67
1,988
70
2.080
522
16,933
396
396
5.0
72
87
23
30
35
60
177
10.7
1.979
1.979
28
2,016
528
531
110
117
121
124
772
10.9
1.972
1,972
24.9
402
473
191
247
85
146
866
4,378
4,381
142
148
171
4.700
2.735.9
2.654.1
1.750
1,756
254
270
302
308
2334
33.0
85
85
37
38
25
26
149
23.4
22.762
22,762
288.0
1.806
1.926
238
308
55
95
2329
140.8
86.223
86.249
261
272
96
86,617
10.571
10.596
1.642
1.744
461
471
12,811
181 2
23.414
23,414
296.2
6.616
7,025
2,230
2.887
827
1,424
11336
685.4
78.572
78,625
1.742
1,816
1.659
82.100
71
111
22.415
22,499
4,350
4,621
3,204
3.271
30391
429.9
190
191
65
66
42
44
301
72,074
72,074
911 9
10.953
12.498
4.885
6,325
1.813
3,122
21,945
1.326 8
154.103
154.247
3.968
4.136
6,267
164,650
906.2
72.962
73,307
13,220
14,043
16,426
16,768
104,118
1.472.7
1.133
1.135
386
395
516
540
2,070
324.5
195.618
195,618
2.474.9
32.828
35,557
14,145
18,315
2.016
3.471
57343
3.466.9
422.451
423.076
18,235
19,007
10,239
452322
2,489.5
170.421
171.252
34.350
36,490
17,824
18,195
225,937
3.195.7
8.631
8,646
3.773
3.858
1.333
1,395
13,899
2.178.5
52.164
52,164
6600
6.354
6.689
751
972
400
689
8350
504.8
127.612
127.680
590
615
578
128,873
709.3
16.438
16.496
2,234
2,373
2,423
2.473
21342
301.9
615
616
199
203
139
145
964
74
Table 5.— Index of Crime, State, 1994— Continued
Population
Crime
Index
total
Modified
Crime
Index
total '
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
OHIO
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
Estimated totals
State Total
Rate per 100.000
inhabitants
OKLAHOMA
Metropolitan Statistical
Area
Area actually reporting . . .
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
State Total
Rate per 100,000
inhabitants
OREGON
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
State Total
Rate per 100.000
inhabitants
PENNSYLVANIA
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
State Total
Rate per 100.000
inhabitants
PUERTO RICO*
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas.
Area actually reporting
Total
See footnotes at end of table
9.030.969
86.3%
100.0%
754.995
66.5%
100.0%
1.316.036
56.5%
100.0%
11,102,000
100.0%
100.0%
399,549
437,781
25,597
38,479
10,770
19.050
495,310
4,461.4
1.958.723
100.0%
134.527
668.405
99.2%
35,670
100.0%
35,941
630,872
100.0%
11.007
3,258,000
181,475
2,161,637
99.7%
147.339
100.0%
147,702
425.944
95.0%
30,695
100.0%
32,309
498.419
100.0%
14,296
3,086,000
194307
6,296.4
10,226,365
96.7%
348.443
100.0%
357,359
766,813
84.9%
18.095
100.0%
21,317
1,058,822
100.0%
15,650
12,052.000
394326
3,271.9
103.459
12,789
116,248
47.253
49.606
1,712
2.574
989
1.750
53,930
485.8
15.949
3,908
3,937
1.339
21,2:5
13.732
13.752
1,138
1,197
1.118
16,067
47.117
47,967
1.827
2,153
1,305
51.425
426.7
23,151
2,234
25385
352.296
388,175
23.885
35,905
9.781
17,300
441380
3,975.7
118,578
31,762
32,004
9,668
160.250
4,918.7
133.607
133.950
29,557
31.112
13,178
178,240
301,326
309.392
16,268
19,164
14,345
342,901
2,845.2
10,555
90,863
585
608
13
20
19
34
662
157
38
226
109
109
33
150
673
678
23
712
5.9
63
980
4,415
4,725
193
290
122
216
5,231
47.1
1.233
257
259
124
1,616
1.016
1,018
121
127
188
1,333
43.2
2,660
2.710
168
198
237
3,145
72
396
19,477
20.206
355
534
46
81
20,821
3,680
427
430
64
4,174
3.846
3.852
305
321
91
4,264
21,940
22,153
203
239
105
22,497
16.838
787
17,625
22,776
24,067
1,151
1.730
802
1.419
27.216
245.1
3,193
3,217
1,113
15309
8,761
8.773
704
741
806
10320
21,844
22,426
1,447
1,705
940
25,071
1.312
6384
78,193
84,800
4,235
6,366
2,832
5.009
96,175
866.3
8,434
8,498
4,214
40,764
24,527
24.585
5,057
5,323
4,062
33.970
1,100.8
56.393
57.627
2,658
3,131
5,710
66,468
4,682
31,160
232.147
258.598
18.579
27,929
6.369
11,265
297,792
2.682.3
21.509
21.673
4,748
104,025
90,420
90,668
22,641
23,832
8,006
122,506
3,969.7
193.787
199.739
12.759
15,031
7,510
222380
4,951
42,062
41,956
44,777
1.071
1,610
580
1.026
47,413
427.1
1,819
1.833
706
15,461
1 8,660
18,697
1.859
1.957
1.110
21,764
51,146
52.026
851
1,002
1.125
54,153
922
17,641
75
Table 5.— Index of Crime, State, 1994— Continued
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
RHODE ISLAND
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
SOUTH CAROLINA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
SOUTH DAKOTA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
TENNESSEE
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
TEXAS
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
See footnotes at end of table
915,587
100.0%
37.949
81.413
100.0%
3.095
100.0%
23
997,000
41,067
2,558.492
99.9%
163,101
100.0%
163.177
312.447
98.9%
25.038
100.0%
25,321
793.061
100.0%
31,372
3,664,000
219^70
6,000 8
236,223
97.2%
10,921
100.0%
11,222
191,948
69.7%
5.688
100.0%
8.156
292,829
56.6%
1,693
100.0%
2,989
721,000
22367
3,102.2
3,479,021
84.5%
197.962
100.0%
215,613
593.230
79.7%
24,243
100.0%
30,417
1.102,749
47.1%
8,913
100.0%
18,922
5,175,000
264,952
5,119.8
15.419,276
99.9%
979.187
100.0%
979.294
1,352,931
99.7%
67,276
100.0%
67,400
1,605,793
100.0%
32,531
18,378,000
1,079425
3.413
329
2
3,744
26,305
26,314
5.322
5.382
6.060
37,756
1 .030.5
906
943
314
450
141
248
1,641
227.6
31.028
33.044
2.908
3,649
948
2,012
38,705
747.9
117.406
117,417
8.009
8.023
4,398
129,838
706.5
34,536
2,766
21
37323
136.796
136.863
19.716
19.939
25.312
182.114
4,970.4
10,015
10,279
5,374
7.706
1.552
2,741
20,726
2.874.6
166.934
182.569
21,335
26,768
7,965
16,910
226,247
4.371.9
861.781
861.877
59.267
59,377
28,133
949387
5.165.9
40
1
41
4.1
237
237
87
353
96
375
401
32
40
19
41
482
1.829
1.829
116
2,022
11.0
254
17
2
273
27.4
1.430
1.430
203
205
356
1,991
54.3
149
151
75
108
25
44
303
42.0
2.001
2.174
181
227
68
144
2,545
49.2
8.251
8.252
449
449
401
9.102
49.5
825
45
870
87.3
5.224
5,226
875
885
706
6.817
186 1
110
112
7
12
135
18.7
9.826
10,104
391
491
66
140
10,735
207.4
36.529
36,531
890
891
221
37,643
204.8
1.294
266
2,560
256.8
19,414
19.421
4.215
4.263
4.911
28395
780.4
640
673
229
328
109
192
1,193
165.5
18.826
20,365
2,304
2,891
795
1,687
24,943
482.0
70,797
70,805
6,593
6,606
3,660
81,071
8.452
647
2
9,101
33.656
33.668
4.788
4.842
8.168
46,678
1.274.0
1.787
1,861
926
1.328
424
749
3,938
546.2
41.415
45,527
4,900
6.148
3.488
7,405
59,080
1,141.6
189,198
189,219
13.909
13,935
11,533
214,687
21.040
1.981
18
23.039
2.310.8
92.554
92.606
14.049
14,208
15.438
122,252
3.3366
7.780
7.965
4,236
6,074
1,063
1,877
15,916
2,207.5
100.996
111.193
15.150
19.008
3,755
7,972
138,173
2,670.0
566.021
566,090
42.738
42.817
15.040
623.947
3.395 I
76
Table 5.— Index of Crime, State, 1994 — Continued
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
UTAH
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
VERMONT
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas.
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
VIRGINIA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas.
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100.000
inhabitants
WASHINGTON
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
Stole Total
Rale per 100,000
inhabitants
WEST VIRGINIA
Metropolitan Statistical
Area
Area actually reporting
Cities outside metropolitan areas
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rale per 100,000
inhabitants
See footnotes at end of table
1.478.180
99.4%
84,619
100.0%
85.031
227.238
93.8%
10,949
100.0%
11,668
202,582
99.0%
4,396
100.0%
4,443
1,908.000
101.142
5.300.9
114,418
100.0%
7.179
200.455
86.6%
6.782
100.0%
7.831
265.127
95.4%
3,664
100.0%
3,842
580,000
18,852
3.250.3
5.076,266
99.0%
231.881
100.0%
233,453
418.485
100.0%
15.729
1.057,249
100.0%
16,018
6,552,000
265.200
4,439,102
99.8%
275,419
100.0%
276,203
412.794
96.7%
30,500
100.0%
31,550
491,104
100.0%
14.298
5J43.000
322,051
6,027.5
761.261
100.0%
26.240
278.633
99.4%
9.217
100.0%
9.275
782.106
100.0%
10.552
,822.000
46,067
4.863
4.883
562
599
324
328
5.810
304.5
207
239
130
137
562
969
20,586
20,666
1,619
23,437
357.7
24.428
24,472
1.858
1.921
924
27J17
79.756
80.148
10.387
11.069
4,072
4.115
95332
4.996.4
6.993
6,575
7.592
3.534
3.705
18.290
3.153.4
211.295
212.787
14,399
241,763
250,991
251.731
28.642
29.629
13.374
294,734
5,516.3
705
8.512
709
8,566
1,074
9,478
3.931
42,136
497
499
60
571
257
257
26
294
5.5
662
665
73
78
62
63
806
52
60
38
40
160
27.6
1.562
1.572
181
1,868
2.759
2.766
294
304
160
3,230
60.5
112
370
1.147
1,151
1,213
63.6
II
12
71
12.2
8,291
8,317
171
8.704
7,152
7.166
233
241
57
7,464
139.7
lis
119
74
772
3.002
3.015
448
477
240
243
3,735
195.8
129
149
80
84
325
56.0
10,236
10.278
1.207
12,294
14,260
14.283
1,320
1,365
681
16J29
305.6
1,332
518
521
837
2.690
12,557
12.619
1,399
1.491
969
979
15,089
790.8
1,133
1,308
1,534
1.608
4,274
736.9
35.109
35.324
2.228
4.303
41,855
638.8
46.973
47.084
4.385
4.536
4.173
55,793
5,708
1.630
1.640
3,325
10,673
62,303
62.615
8.487
9,044
2,865
2,895
74,554
3,907.4
5,167
5,966
1,820
1.908
13,154
2,267.9
159,565
160,747
9.080
181,619
2.772.0
179,448
180,011
22.972
23.764
8.423
212,198
16.514
6.460
6.501
5,174
28,189
4.896
4.914
501
534
238
241
5,689
298.2
275
318
180
189
862
16.621
16.716
557
1.016
18,289
279.1
24,570
24.636
1.285
1.329
778
26,743
1.870
422
425
979
3,274
77
Table 5.— Index of Crime, State, 1994 — Continued
Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime2
Property
crime-1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
WISCONSIN
Metropolitan Statistical
Area
Area actually reporting . . .
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting . . .
Slate Total
Rate per 100,000
inhabitants
WYOMING
Metropolitan Statistical
Area
Area actually reporting ....
Cities outside metropolitan areas.
Area actually reporting ....
Estimated totals
Rural
Area actually reporting ....
State Total
Rate per 100,000
inhabitants
3.468.733
99.8%
156.394
100.0%
156.699
633.810
97.3%
26,510
100.0%
27,245
979.457
100.0%
16,508
5,082,000
200,452
11.876
11,887
1.045
1.074
787
13.74S
270.5
144.518
144,812
25.465
26.171
15.721
1X6.704
3,673.8
203
203
17
227
■4 5
940
941
142
146
105
1.192
23.5
5.565
5.568
147
151
20
5,739
112.9
141.621
100.0%
7.344
209.079
99.4%
10,308
100.0%
10,366
125,300
100.0%
2,709
476,000
20.419
619
9,689
622
9,744
257
2,452
1.297
19,122
4,289.7
272.5
4,017.2
4
60
4
60
8
40
16
160
3.4
33.6
16.6
5.168
5.175
749
770
645
6390
129.7
302
530
533
207
1.042
218.9
24,078
24.116
3.020
3,104
5.604
32,824
104,046
104.287
21.518
22,114
9.158
135359
1.161
1.248
1.255
681
3,097
650.6
5.414
8.114
8,160
1.680
15,254
3.204.6
16.394
16,409
927
953
959
18321
351
327
329
91
771
162.0
'Although arson data were included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
3Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson,
includes offenses reported by the Zoological Police.
'Complete data were not available for the stales of Illinois. Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation." pages 377-378 for
details.
6The 1994 Bureau of the Census population estimate for Puerto Rico was not available prior to publication; therefore, no population or rates per 100.000 inhabitants are provided.
78
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
en me2
Property
crime3
Murder
and non-
negligeni
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
Abilene, Tx. M.S.A
(Includes Taylor County.)
City of Abilene
Total area actually reporting
Rale per 100,000 inhabitants
Akron. Oh. M.S.A
(Includes Portage and Summit
Counties.)
City of Akron
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Albany, Ga. M.S.A
(Includes Dougherty and Lee Counties.)
City of Albany
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Albany -Schenectady -Troy, N.Y.
(Includes Albany, Montgomery,
Rensselaer, Saratoga, Schenectady, and
Schoharie Counties.)
City of:
Albany
Schenectady
Troy
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Alexandria, La. M.S.A
(Includes Rapides Parish.)
City of Alexandria
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Altoona, Pa. M.S.A
(Includes Blair County.)
City of Altoona
Total area actually reporting
Rate per 100,000 inhabitants
Amarillo, Tx. M.SjV
(Includes Potter and Randall Counties.)
City of Amarillo ,
Total area actually reporting
Rate per 100,000 inhabitants
Anchorage, Ak. M.S.A
(Includes Anchorage Borough.)
Total area actually reporting
Rate per 100.000 inhabitants
Anniston, Al. M.S.A ,
(Includes Calhoun County.)
City of Anniston
Total area actually reporting
Rate per 100.000 inhabitants
Appleton-Oshkosh-Neenah, Wl. M.S.A.
(Includes Calumet. Outagamie, and
Winnebago Counties.)
City of:
Appleton ,
Neenah
Oshkosh
Total area actually reporting
Rate per 100.000 inhabitants
Ashevllle, N.C. M.S.A
(Includes Buncombe County.)
City of Asheville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
See footnotes at end of table
125,290
112,341
100.0%
875,136
332,844
6,131
6.426
5.128.9
225.262
16.000
79.7%
26.922
100.0%
30.778
4.603.1
120,024
82.950
8.738
99.3%
9,670
100.0%
9,737
8,112.5
100.037
8,648
65.610
4,099
54,332
2.883
99.5%
34,509
100.0%
34.643
3.958.6
131,647
49,361
5,665
96.8%
8,527
100.0%
8,821
6,700.5
131,931
52,725
1.682
100.0%
3.284
2.489.2
199,162
167.393
13,546
100.0%
14,497
7.279.0
253,667
100.0%
18.662
7,356.9
118,677
27.645
4,137
100.0%
6.624
5.581.5
69.680
2.298
24,389
1.021
57,294
3,153
100.0%
10.833
204 .212
3.254.7
64.939
5,808
90.3%
8,310
100.0%
9.106
4,459.1
721
759
605.8
2.164
2,880
3,110
465.1
967
1,012
1,017
847.3
1,380
675
219
3.606
3,619
413.5
815
1.435
1,476
,121.2
184
266
201.6
1,261
1,352
678.8
2.478
976.9
740
1.107
932.8
45
43
79
274
82.3
568
883
951
465.7
5,410
5,667
4.523.1
13,836
24,042
27,668
4.138.0
7,771
8,658
8,720
7.265.2
7.268
3,424
2,664
30,903
31.024
3,545.0
4,850
7,092
7,345
5.579.3
1.498
3.018
2,287.6
12,285
13,145
6,600.2
16,184
6.380.0
3.397
5.517
4,648.8
2,253
978
3.074
10,559
3,172.4
5,240
7.427
8,155
3.993.4
6
6
4.8
24
26
26
21.7
10
12
12
9.1
25
26
13.1
10
13
11.0
90
97
77.4
195
269
302
45.2
52
58
58
48.3
79
31
22
210
211
24.1
106
116
58.2
198
78.1
51
68
57.3
II
30
9.0
36
46
50
24.5
119
123
98.2
812
971
1.042
155.8
415
424
426
354.9
542
268
118
1.107
1.111
127.0
120
143
150
113.9
46
53
40.2
237
244
122.5
729
287.4
109
138
116.3
12
1
15
44
13.2
170
202
215
105.3
506
533
425.4
1,134
1,608
1.731
258.9
476
504
507
422.4
746
376
78
2.263
2,271
259.5
641
1.211
1,244
945.0
120
179
135.7
893
966
485.0
1,529
602.8
570
888
748.2
41
53
193
58.0
350
619
668
327.1
1.250
1.338
1.067 9
3,042
4.653
5,371
803.3
2,313
2.622
2,631
2,192.1
2.227
1.231
756
7.559
7.580
866.2
916
1.531
1.578
1.198.7
483
818
620.0
2.168
2,349
1.179.4
2.276
897.2
1.043
1,594
1,343.1
305
132
430
1,501
451.0
1.181
1.935
2.163
1.059.2
3.918
4,078
3.254.8
8.740
16.683
19.310
2.888.0
4.988
5,525
5,572
4,642.4
4,502
2.008
1.739
21,837
21.927
2.505.6
3,690
5,157
5,341
4,057.1
897
1,977
1.498.5
9,575
10,189
5.115.9
11,717
4,619.0
2,145
3.615
3.046. 1
1.890
814
2.537
8.727
2.621.9
3.652
4,931
5,392
2.640.4
242
251
200.3
2.054
2.706
2.987
446.7
470
511
517
430.7
539
185
169
1,507
1.517
173.3
244
404
426
323.6
118
223
169.0
542
607
304.8
2.191
863.7
209
308
259.5
58
32
107
331
'99.4
407
561
600
293.8
79
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Athens, Ga. M.S.A
(Includes Clarke, Madison, and Oconee
Counties.)
City of Athens
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Atlanta, Ga. M.S.A
(Includes Barrow, Bartow, Carroll,
Cherokee, Cobb, Coweta, DeKalb.
Douglas, Fayette, Forsyth, Fulton.
Gwinnett, Henry, Newton, Paulding.
Pickens. Rockdale. Spalding, and
Walton Counties.)
City of Atlanta
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Atlantic City, NJ. M.S.A
(Includes Atlantic and Cape May
Counties.)
City of Atlantic City
Total area actually reporting
Rate per 100,000 inhabitants
Augusta-Aiken, Ga.-S.C. M.S.A
(Includes Columbia, McDuffie, and
Richmond Counties, Ga., and Aiken and
Edgefield Counties, S.C.)
City of:
Augusta, Ga
Aiken, S.C
Total area actually reporting
Rate per 100,000 inhabitants
Austin-San Marcos, Tx. M.S.A
(Includes Bastrop, Caldwell, Hays,
Travis, and Williamson Counties.)
City of:
Austin
San Marcos
Total area actually reporting
Rate per 100.000 inhabitants
Bakersfield, Ca. MS.\
(Includes Kern County.)
City of Bakersfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Baltimore, Md. M.S.A
(Includes Baltimore City and Anne
Arundel, Baltimore, Carroll. Harford,
Howard, and Queen Anne's Counties.)
City of Baltimore
Total area actually reporting
Rate per 100,000 inhabitants
Bangor, Me. M.S.A
(Includes part of Penobscot and Waldo
Counties.)
City of Bangor
Total area actually reporting
Rate per 100,000 inhabitants
Barnstable -Yarmouth, Ma. M.S.A
(Includes part of Barnstable County.)
City of:
Barnstable
Yarmouth
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
See footnotes at end of table.
134.324
90.791
84.3%
100.0%
3,273,558
411.204
97.0%
100.0%
329,747
37,657
100 0%
458,385
46,317
22,807
100.0%
936,429
739,180
100.0%
67,675
32,249
100.0%
41.809
21,617
92.4%
100.1
7,037
8,364
9,382
6.984.6
66,280
233.952
240.050
7,333.0
9,151
25.210
7,645.3
3,994
1,388
21,348
4.657,2
511.676
40.632
30.652
1,573
100.0*
58.011
6.194.9
597.865
191.246
15.746
98.5%
38,359
100.0%
38.877
6.502.6
477,672
92,783
180.501
7.285.1
1,809
2,473
3,654.2
2,215
986
5,764
6,097
4,425.4
768
812
891
663.3
14.684
27.250
27,715
846.6
1,042
2.395
726.3
407
155
2,690
586.8
3.249
173
5.047
539.0
1,950
5,182
5,253
878.6
20.951
32.117
1.296.3
56
67
99 0
836
76
1.081
1,122
814.4
6.269
7,552
8.491
6,321.3
51.596
206.702
212,335
6.486.4
8.109
22,815
6.918.9
3.587
1.233
18,658
4.070.4
37,383
1,400
52,964
5,656.0
13,796
33.177
33,624
5,624.0
71.832
148,384
5.988.8
1.753
2,406
3,555.2
1,379
910
4,683
4,975
3,611.0
6
9
10
7.4
191
373
380
11.6
52
5.6
35
92
93
15.6
321
379
15.3
72
75
8!
60.3
422
1.277
1,308
40.0
27
137
41.5
14
6
202
44 1
249
30
480
51.3
59
216
219
36.6
637
1.162
46.9
II
12
17,7
20
7
42
44
31.9
218
224
254
189.1
5.343
10.360
10,531
321.7
571
929
281.7
189
43
750
163.6
1,542
28
1.781
190.2
573
1,046
1,070
179.0
11,275
14.500
585.2
26.6
29
10
46
52
37.7
472
504
546
406.5
8.728
15.240
15,496
473.4
435
1.310
397.3
191
105
1.686
367.8
1.421
115
2.734
292.0
1.283
3.828
3.871
647.5
8.718
16.076
648.8
31
35
51.7
784
59
990
1,023
742.5
1.231
1.397
1,600
1.191.1
12.136
41,729
42.748
1,305.9
827
4,119
1.249.1
1,007
271
5,068
1,105.6
7,047
264
11,260
1,202.4
3,199
9,083
9,185
1.536.3
15.897
30,428
1,228.1
162
278
410.8
522
301
1.636
1.704
1.236.8
4.633
5,711
6,331
4.713.2
30.888
138,389
142.415
4,350.5
6.947
17,758
5,385.3
2.075
905
11,310
2,467.4
26.403
1,041
36.854
3.935.6
8.653
19.796
20,064
3.355.9
42.402
94.395
3,809.8
1,515
2.032
3,002.6
733
581
2,816
2,996
2.174,6
405
444
560
4169
8.572
26,584
27.172
830.0
335
938
284.5
505
57
2.280
497,4
3.933
95
4,850
517.9
1,944
4,298
4.375
731.1
13,533
23,561
950.9
76
96
141.9
124
28
231
275
199.6
80
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Baton Rouge, La. M.S.A
(Includes Ascension, East Baton Rouge.
Livingston, and West Baton Rouge
Parishes.)
City of Baton Rouge
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Beaumont -Port Arthur, Tx. M.S.A
(Includes Hardin, Jefferson, and Orange
Counties.)
City of:
Beaumont
Port Arthur
Total area actually reporting
Rate per 100,000 inhabitants
Bellingham, Wa. M.S.A
(Includes Whatcom County.)
City of Bellingham
Total area actually reporting
Rate per 100,000 inhabitants
Benton Harbor, Mi. M.S.A ,
(Includes Berrien County.)
City of Benton Harbor
Total area actually reporting ,
Estimated total
Rate per 100.000 inhabitants
Bergen-Passaic, S I M.S.A ,
(Includes Bergen and Passaic
Counties.)
City of Passaic
Total area actually reporting
Rate per 100.000 inhabitants
Binghamton, N.Y. M.S.A
(Includes Broome and Tioga Counties.)
City of Binghamton
Total area actually reporting
Rate per 100.000 inhabitants
Birmingham, Al. M.S.A ,
(Includes Blount, Jefferson. St. Clair,
and Shelby Counties.)
City of Birmingham
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants ,
Bismarck, N.D. M.S.A
(Includes Burleigh and Morton
Counties.)
City of Bismarck
Total area actually reporting
Rate per 100.000 inhabitants
Boise, Id. M.S.A
(Includes Ada and Canyon Counties.)
City of Boise
Total area actually reporting
Rate per 100.000 inhabitants
Boston, Ma.-N.H. M.S.A
(Includes part of Bristol. Essex.
Middlesex, Plymouth, Suffolk, and
Worcester Counties, Ma., and part of
Rockingham County, N.H.)
City of Boston, Ma
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Boulder- Longmont, Co. M.S.A
(Includes Boulder County.)
City of:
Boulder
Longmont
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
See footnotes at end of table.
550,911
226.595
98.4%
100.0%
384,340
134.931
57.570
100.0%
267,563
52.225
100.0%
876,102
270.978
99.5%
100.0%
86,588
556.724
90.5%
100.0%
251.299
90.334
57.637
99.5%
100.0%
31.842
49.130
49,749
9.030.3
120.031
11.748
71,947
4,738
100.0%
24,990
143,271
6,502.1
57.445
4.453
100.0%
7.931
5,535.7
162,505
13.130
2.810
805%
10.174
100.0%
11,753
7,232.4
3.702
46,698
3.578.6
3.103
8,708
3.254.6
33,037
55,960
56,205
6,415.3
51.642
2.236
100.0%
2,994
3,457.8
339,901
144,248
8.412
100.0%
17,353
5,105.3
3,409,700
53.078
141.813
152,051
4,459.4
6.522
3,260
13.576
13.654
5.433.4
5,551
6,999
7,087
1.286.4
1.413
896
2.990
778.0
233
418
291.8
906
1,740
1,889
1.162.4
649
4.641
355.7
162
571
213.4
6.625
9.475
9.506
1.085.0
45
108
124.7
506
1.130
332.4
10.664
22,149
23,41 1
6866
26,291
42,131
42,662
7.743.9
10.335
3.842
22.000
5,724.1
4,220
7,513
5.243.9
1.904
8,434
9.864
6.070.0
3.053
42.057
3.222.9
2.941
8.137
3.041.2
26.412
46.485
46.699
5,330.3
2,191
2.886
3.333.0
7.906
16,223
4,772.9
42.414
119.664
128.640
3,772.8
64
99
100
18.2
3
6
4.2
23
14.2
5
34
2.6
5
13
4.9
135
172
172
19.6
85
129
133
3.9
222
6,300
83
3,177
506
13.070
515
13,139
04.9
5.228.4
180
250
253
45.9
219
26
334
86.9
54
99
69.1
36
145
158
97.2
23
183
14.0
14
56
20.9
273
479
481
54.9
3
22
25.4
60
124
365
453
964
28.3
40
12
91
92
366
1.470
1,753
1,768
320.9
508
226
902
234.7
41
60
41.9
189
349
382
235.1
370
2,108
161 5
72
106
39.6
1.980
2.763
2.771
316.3
II
12.7
58
86
25.3
4,245
6,378
6,562
192.5
53
24
88
89
35.4
3.837
4.897
4.966
901.4
661
638
1.720
447.5
135
253
176.6
662
1.224
1.326
816.0
251
2,316
177.5
71
396
148.0
4,237
6,061
6,082
694,2
34
74
85.5
384
912
268.3
5,881
14.734
15,752
462.0
123
47
319
326
1297
5.354
8,425
8.524
1.547.3
2.377
1.508
5.798
1.508.6
654
1,498
1.045.6
736
1,997
2,225
1,369.2
632
8.486
650.3
336
1,378
515.0
6,483
11.222
11.268
1,286.2
318
410
473.5
1 .374
2.999
882.3
6,799
24,354
26,441
775.5
1.032
435
2.309
2.321
923.6
16.439
28,198
28,585
5.188.7
6.896
1,886
14,180
3,689.4
3.402
5,712
3,986.9
949
5,821
6,860
4,221.4
1,750
26.583
2.037.1
2.592
6,608
2.469.7
16.285
29.675
29,828
3,404.6
1.768
2,322
2.681.7
6,147
12,372
3.639.9
24,375
71,929
77.469
2,272.0
5,009
2,656
10,268
10,320
4,106.7
4.498
5.508
5,553
1,008.0
1,062
448
2,022
526.1
164
303
211.5
219
616
779
479.4
671
6,988
535.5
13
151
56.4
3,644
5,588
5.603
639.5
105
154
177.9
385
852
250.7
11.240
23,381
24,730
725.3
259
86
493
498
198.2
81
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Populalion
Crime
Index
total
Modified
Cnme
Index
total '
Violent
crime2
Property
cnme3
Murder
and non-
neghgenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Brazoria County, Tx. M.S.A
(Includes Brazoria County.)
Total area actually reporting
Rate per 100,000 inhabitants
Bremerton, Wa. M.S.A
(Includes Kitsap County.)
City of Bremerton
Total area actually reporting
Rate per 100,000 inhabitants
Bridgeport, Ct. M.S.A
(Includes part of Fairfield and New
Haven Counties.)
City of Bridgeport
Total area actually reporting
Rate per 100,000 inhabitants
Brockton, Ma. M.S.A
(Includes part of Bristol, Norfolk, and
Plymouth Counties.)
City of Brockton
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Brownsville-Harlingen-San Benito, Tx.
M.S.A
(Includes Cameron County.)
City of:
Brownsville
Harlingen
San Benito
Total area actually reporting
Rate per 100.000 inhabitants
Bryan-College Station, Tx. M.S.A
(Includes Brazos County.)
City of:
Bryan
College Station
Total area actually reporting
Rate per 100.000 inhabitants
Burlington. Vt M.S.A
(Includes part of Chittenden. Franklin,
and Grand Isle Counties.)
City of Burlington
Total area actually reporting
Rate per 100.000 inhabitants
Canton-Massillon, Oh. M.S.A
(Includes Carroll and Stark Counties l
City of:
Canton
Massillon
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Casper, Wy. M.S.A
(Includes Natrona County.)
City of Casper
Total area actually reporting
Rate per 100,000 inhabitants
Charleston-North Charleston, S.C.
M.S.A
(Includes Berkeley. Charleston, and
Dorchester Counties.)
City of:
Charleston
North Charleston
Total area actually reporting ...
Rate per 100,000 inhabitants
Charleston, W.V. M.S.A
(Includes Kanawha and Putnam
Counties.)
City of Charleston
Total area actually reporting ....
Rate per 100.000 inhabitants
211,852
100.0%
218,960
43,282
100.0%
452,582
136,781
100.0%
89.904
77.0%
100.0%
289,631
109.912
54,003
22,453
100.0%
130,074
58.766
57,869
100.0%.
114,418
39.176
100.0%
402,243
85,410
31,428
92.7%
100.0%
63,736
48.626
100.0%
537,515
82.676
75,637
100.0%
254,670
57.493
100.0%
6.661
3.144.2
1.705
8,307
3.793.8
10,859
21,116
4,665.7
5.819
8,292
10,092
4,079.0
9,958
4,730
1,384
19,454
6,716.8
4,444
2.543
8,068
6,202.6
3,19:
7.179
6.274.4
7.882
1.528
18.815
19.604
4,873.7
3.236
4.082
6.404.5
5.924
9.493
33.871
6,301.4
6.473
10.819
4,248.2
658
310.6
137
604
275.8
1,870
2,324
513.5
537
152
744
572.0
93
186
1626
1.272
99
2.006
2.052
510.1
186
246
386.0
934
1.414
4,748
883.3
598
816
320.4
6.003
2.833.6
1,568
7,703
3,518.0
8,989
18.792
4.152.2
1,170
4,649
1,437
6,855
1,659
8,433
670.5
3,408.4
920
9.038
444
4,286
97
1,287
1.688
17.766
582.8
6.134.0
3.907
2,391
7.324
5,630 6
3.099
6.993
6.111.8
6.610
1,429
16,809
17.552
4.363.5
3.050
3,836
6,018.6
4,990
8.079
29.123
5.418.1
5.875
10,003
3,927.8
10
4.6
50
58
12.8
l :
6
5
12
9.2
15
13
50
9.3
6
12
4.7
80
37.8
26
121
55.3
59
100
22.1
42
52
62
25.1
54
186
52
13
68
52.3
28
60
52.4
88
8
160
167
41.5
13
20
31.4
48
75
296
55.1
40
57
22.4
78
368
32
93
42.5
947
1.118
247.0
296
330
362
1463
268
66
10
369
127.4
87
28
122
93.8
23
34
29.7
602
43
833
848
210.8
24
25
39.2
233
375
924
171.9
225
301
118.2
487
229.9
77
380
173.5
814
1.048
231.6
825
1.048
1.227
495.9
609
373
76
1,243
429.2
392
106
542
416.7
42
92
80.4
572
48
998
1.022
254 1
148
200
313.8
638
951
3.478
647.1
327
446
175.1
1,356
640.1
286
1,513
691.0
2,420
4,407
973.7
1.269
1,776
2,143
866.2
1.996
919
208
4.485
1.548.5
794
329
1.306
1.004.0
560
1,358
1.186.9
1.666
336
4,269
4,423
1.099.6
642
864
1.355.6
844
1.433
6,159
1,145.8
1.194
2,288
898.4
4.194
1,979.7
1,173
5.754
2.627.9
3.546
10,042
2,218.8
2.092
3,438
4,412
1,783.2
6.322
2.975
991
11,885
4,103.5
2.855
1,968
5,640
4,336.0
2,410
5.280
4,614.7
4,137
972
10,979
11.511
2.861.7
2,221
2.713
4,256.6
3,675
5,557
20,257
3,768.6
4.070
6.728
2.641.9
453
213.S
109
436
199.1
3.023
4.343
959.6
1.288
1.641
1.878
759.0
720
392
88
1.396
482.0
258
94
378
290.6
129
355
310.3
807
121
1.561
1.618
402.2
187
259
406.4
471
1,089
2,707
503.6
611
987
387.6
See footnotes at end of table.
82
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total1
Violent
cnme2
Property
cnme1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Charlotte-Gastonia-Rock Hill, N.C.-S.C.
1,251,613
(Includes Cabarrus. Gaston. Lincoln.
Mecklenburg, Rowan, and Union
Counties, N.C.. and York County, S.C.)
City of:
Charlotte-Mecklenburg. N C
527,121
59.028
51.057
5.702
9,102
757
41.955
4.945
87
14
350
27
2,713
235
5,952
481
10,326
1,173
28.469
3.504
3.160
268
45,134
3.540
811
2.729
3
19
116
673
477
2,116
136
Total area actually reporting
Rale per 100,000 inhabitants
100.0%
86.192
6.886.5
13,536
1.081.5
72.656
5.805.0
155
12.4
551
44.0
3.541
282.9
9,289
742.2
19.031
1.520.5
48,899
3,906.9
4.726
377.6
Charlottesville, Va. M.S.A
137,765
(Includes Albemarle, Fluvanna and
Greene Counties, and Charlottesville
City.)
City of Charlottesville
41.560
2,657
271
2.386
5
22
70
174
312
1.946
128
Total area actually reporting
Rate per 100.000 inhabitants
100.0%
5.552
4.030.1
419
304.1
5.133
3,725.9
9
6.5
54
39.2
88
63.9
268
194.5
732
531.3
4.137
3.002.9
264
191.6
Chattanooga, Tn.-Ga. M.S.A
(Includes Hamilton and Marion
445.293
Counties. Tn.. Catoosa. Dade, and
Walker Counties. Ga.)
City of Chattanooga. Tn
Total area actually reporting
157.451
75.6%
100.0%
14.299
19.492
23,057
5.177.9
2.257
2.772
3,177
713.5
12.042
16.720
19,880
4.464.5
43
52
57
12.8
92
124
158
355
606
665
722
162.1
1.516
1.931
2,240
503.0
2.736
3.692
4.521
1,015.3
7.804
11.099
13.162
2.955.8
1.502
1,929
2,197
493.4
Rate per 1 00.000 inhabitant
Cheyenne, Wy. M.S.A
(Includes Laramie County. I
City of Cheyenne
77.885
53.734
2.671
117
2.554
2
19
22
74
222
2.259
73
Total area actually reporting
Rate per 100.000 inhabitants
100.0%
3.262
4,188.2
172
220.8
3,090
3,9674
3
3.9
40
51.4
27
34.7
102
131 0
297
381.3
2.701
3,467.9
92
118.1
191,640
(Includes Butte County.)
City of:
Chico
41.411
3,220
257
2,963
23
58
176
584
2.173
206
Paradise
26,562
967
95
872
2
9
84
175
659
38
Total area actually reporting
Rate per 100.000 inhabitants
100.0%
10.293
5,371.0
944
492.6
9,349
4.878.4
6
3.1
83
43.3
150
78.3
705
367.9
2.594
1,353.6
6.053
3.158.5
702
3663
Cincinnati, Oh.-Ky.-In. M.S.A
1,575.976
(Includes Brown. Clermont. Hamilton,
and Warren Counues. Oh., Boone,
Campbell, Gallatin, Grant, Kenton, and
Pendleton Counties, Ky: and Dearborn
and Ohio Counties. In.)
366.953
88.5%
100.0%
29,403
69,577
75.230
4.773.5
4,855
8,289
8,691
551.5
24,548
61.288
66.539
4.222.1
38
56
59
3.7
382
686
730
46.3
2.131
2.864
2.965
188.1
2.304
4.683
4,937
313.3
6.020
12.124
13,115
832.2
16.796
45.718
49.574
3.145.6
1.732
3,446
3.850
244.3
Total area actually reporting
Rale per 100.000 inhabitants
Clarksvllle-Hopkinsville. I n.-Ky.
M.S.A
182,756
(Includes Chnstian County. Ky, and
Montgomery County, Tn.)
City of:
Clarksville. Tn
86.912
31,486
99.3%
100.0%
5,168
1.939
8,787
8,854
4.844.7
701
184
1.335
1.345
736.0
4.467
1,755
7,452
7,509
4.108.8
8
2
17
17
9.3
140
14
171
171
93.6
122
59
195
196
107.2
431
109
952
961
525.8
1.065
479
1.917
1.928
1.055.0
3,196
1.188
5,188
5,231
2,862.3
206
88
347
350
191.5
Hopkinsville. Ky.
Total area actually reporting
Rate per 100,000 inhabitants
Colorado Springs, Co. M.S.A
(Includes El Paso County.)
City of Colorado Springs
Total area actually reporting
444,399
312.122
99.6%
100.0%
20.811
24.493
24.603
5.536.2
1.503
1.872
1.884
423.9
19.308
22,621
22,719
5.112.3
14
19
19
4.3
228
248
249
56.0
401
426
428
96.3
860
1,179
1.188
267.3
3.033
3,840
3.857
867.9
15,185
17.523
17.597
3,959.7
1.090
1.258
1.265
284.7
Rate per 100.000 inhabitants
See footnotes at end of table.
83
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Mclropolilan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Columbia, Mo. M.S.A
(Includes Boone County.)
City of Columbia
Total area actually reporting
Rate per 100,000 inhabitants
Columbia, S.C. M.S.A
(Includes Lexington and Richland
Counties.)
City of Columbia
Total area actually reporting
Rate per 100,000 inhabitants
Columbus, Ga.-AI. M.S.A
(Includes Chattahoochee, Harris, and
Muscogee Counties, Ga., and Russell
County, Al.)
City of Columbus, Ga
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Columbus, Oh. M.S.A
(Includes Delaware, Fairfield, Franklin.
Licking, Madison, and Pickaway
Counties.)
City of Columbus
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Corpus Christi, Tx. M.S.A
(Includes Nueces and San Patricio
Counties.)
City of Corpus Christi
Total area actually reporting
Rate per 100,000 inhabitants
Cumberland, Md.-W.V. M.S.A
(Includes Allegany County, Md and
Mineral County. W.V.)
City of Cumberland, Md
Total area actually reporting
Rate per 100,000 inhabitants
Dallas, Tx. M.S.A
(Includes Collin. Dallas, Demon. Ellis.
Henderson, Kaufman, and Rockwall
Counties.)
City of Dallas
Total area actually reporting
Rate per 100,000 inhabitants
Danbury, Ct M.S.A
(Includes part of Fairfield and
Litchfield Counties.)
City of Danbury
Total area actually reporting
Rate per 100,000 inhabitants
Dayton-Springfield. Oh. M.S. \
(Includes Clark, Greene, Miami, and
Montgomery Counties.)
City of:
Dayton
Springfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Daytona Beach, Fl. M.S.A
(Includes Flagler and Volusia Counties.)
City of Daytona Beach
Total area actually reporting
Rate per 100,000 inhabitants
Decatur, Al. M.S.A
(Includes Lawrence and Morgan
Counties.)
City of Decatur
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
See footnotes at end of table.
118,851
74,302
100.0%
48(1,490
100.504
100.0%
28.1,260
194,128
99.7%
100.0%
1.403,038
647,860
85.1%
100.0%
376,588
276.880
100.0%
103,054
24,333
100.0%
1.062.677
100.0%
162,489
65,217
100.0%
969,162
4.495
6.024
5,068.5
12,156
32,549
6.774.0
11.892
13.483
13.555
4,785.4
56.343
77.227
83.841
5.9757
27.183
30.637
8.135.4
1.455
2,924
2.837.3
100.707
188.930
6.738.0
3.628
5,423
3.337.5
184,534
17,649
70,938
7,603
97.5%
49,024
100.0%
49.961
5.155.1
436.440
66.886
8,381
100.0%
25,569
5.858.5
51.430
98.1%
100.0%
4.545
5,555
5.692
4.129.7
414
494
415.6
2.066
5,196
1,081.4
1,008
1.187
1.192
420.8
6.761
8.699
9.109
649.2
2.371
2.730
724.9
238
365
354.2
16.886
24.333
867.8
219
292
179.7
2,499
1.321
4.998
5.058
521.9
1.389
3,252
745.1
254
323
341
247.4
4.081
5.530
4,652.9
10.090
27.353
5.692.6
10,884
12,296
12.363
4.364.5
49.582
68.528
74.732
5.326.4
24.812
27.907
7.410.5
1,217
2,559
2,483.2
83,821
164,597
5.870.2
3.409
5.131
3.157.8
15,150
6,282
44,026
44,903
4.633.2
6.992
22,317
5.113.4
4.291
5,232
5,351
3,882.3
9
10
8.4
19
46
9.6
100
109
113
8.1
13
18
4.8
295
373
13.3
21
4.8
9
9
6.5
116
316
658
37
53
53
18.7
679
861
914
65 I
178
203
53.9
6
17
165
957
1.490
53.1
9
15
9.2
250
96
554
560
57.8
70
187
42.8
31
45
46
33.4
95
79.9
571
1.336
278.0
371
395
397
140.2
3.599
4.059
4.186
298.4
492
521
138.3
8
21
20.4
7.077
8,624
307.6
65
73
44.9
1,343
297
2,026
2.045
211.0
383
669
153.3
71
84
89
646
336
282.7
1.360
3,498
728.0
580
716
719
253.8
2,383
3,670
3.896
277.7
1.688
222
323
313.4
8.557
13,846
493.8
143
202
124.3
849
918
2.334
2.369
244.4
928
2.375
544.2
144
185
197
142.9
589
836
703.4
1.849
6,297
1.310.5
1,984
2,383
2.393
844.8
13.086
16.577
17.700
1.261.5
4.248
5.286
1,403.7
223
534
518.2
17,860
34,924
1.245.5
676
1.069
657.9
3,939
1.124
8.764
8.898
918.1
1.980
6,481
1,485.0
824
1,144
1.169
848.1
3.326
4.498
3,784.6
7.581
18.988
3.951.7
8.004
8.902
8.953
3.160.7
29,776
44,066
48.657
3.468.0
19.215
21,120
5.608.3
965
1.918
1.861.2
48.268
105.347
3.757.1
2.317
3,565
2,194.0
8,703
4,664
30,436
31.108
3,209.8
4,082
13.886
3,181.7
3,235
3.797
3,882
2,816.5
166
196
1649
660
2,068
430.4
896
1,011
1,017
359.0
6,720
7,885
8.375
5969
1,349
1.501
398.6
29
107
I03.S
17.693
24.326
867.6
416
497
305.9
2,508
494
4,826
4.897
505.3
930
1.950
446.8
232
291
300
2177
84
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
Denver, Co. M.S.A ,
(Includes Adams. Arapahoe, Denver.
Douglas, and Jefferson Counties)
City of Denver
Total area actually reporting
Rate per 100,000 inhabitants
Des Moines, la. M.S.A
(Includes Dallas. Polk, and Warren
Counties.)
City of Des Moines
Total area actually reporting
Estimated total ,
Rate per 100,000 inhabitants
Detroit, Mi. M.S.A
(Includes Lapeer, Macomb. Monroe,
Oakland, St. Claire, and Wayne
Counties.)
City of Detroit
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Dothan, A!. M.S.A
(Includes Dale and Houston Counties.)
City of Dothan
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Dover, De. M.S.A
(Includes Kent County.)
City of Dover
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Dubuque, la. M.S.A
(Includes Dubuque County.)
City of Dubuque
Total area actually reporting
Rate per 100,000 inhabitants
Duluth-Superior, Mn.-Wi. M.S.A
(Includes St. Louis County, Mn. and
Douglas County, Wi)
City of:
Duluth, Mn
Superior, Wi
Total area actually reporting
Rate per 100.000 inhabitants
Dutchess County, N.Y. M.S.A
(Includes Dutchess County.)
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Eau Claire, Wi. M.S.A
(Includes Chippewa and Eau Claire
Counties.)
City of Eau Claire
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Elmira, N.Y. M.S.A
(Includes Chemung County.)
City of Elmira
Total area actually reporting
Rate per 100.000 inhabitants
El Paso, Tx. M.S.A
(Includes El Paso County )
City of El Paso
Total area actually reporting
Rale per 100,000 inhabitants
Enid. Ok. M.S.A
(Includes Garfield County)
City of Enid
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.
1,802,170
511.085
100.0%
410,457
196.647
95.7%
100.0%
4,339,013
246,116
142371
653,165
35,434
100.934
5.6007
14,180
21,003
21,373
5.207.1
1,022,283
121,827
93.9%
263,444
100.0*
276.560
6.373.8
135,884
55.858
2.086
99.5%
4,023
100.0%
4,055
2.984.2
122,431
28.839
2,677
99.8%
6.031
100.0%
6,043
4,935.8
88,077
59,117
2,653
100.0%
3,071
3.486.7
87.324
4,238
27,880
1.875
100 0%
9.303
3,779.9
263,713
98.9%
7,531
100.0%
7,628
2,892.5
59,001
2,925
97.8%
4.726
100.0%
4,847
3,404.5
95,512
33,780
2,023
100.0%
3,905
565.183
40,465
100.0%
43.474
6.655.9
57,291
45,820
4,284
100.0%
4,435
7,741.2
4.706
11,724
650.5
837
1.158
1,200
292.4
27,471
41,613
42.846
987.5
200
584
588
432.7
264
765
766
625.7
200
243
275.9
421
77
652
264.9
892
901
341.7
113
154
158
111.0
90
260
272.2
5.369
5.896
902.7
490
503
878.0
30.728
89,210
4.950.1
13,343
19,845
20,173
4,914.8
94.356
221.831
233.714
5,386.3
1,886
3.439
3,467
2.551.4
2.413
5,266
5,277
4.310.2
2.453
2,828
3.210.8
3.817
1.798
8,651
3,515.0
6,639
6,727
2.550.9
2,812
4,572
4,689
3,293.5
1.933
3.645
3.816.3
35.096
37.578
5,753.2
3,794
3,932
6,863.2
81
122
6.8
541
658
667
15.4
5
10
10
7.4
4
1
6
2.4
44
54
8.3
366
793
44.0
73
102
108
26.3
1.116
2,354
2,461
56.7
17
17
12.5
35
125
125
102.1
17
24
27.2
105
23
195
79.2
45
45
17.1
21
40
41.9
233
289
44.2
35
35
61.1
1.714
2,938
163.0
301
325
327
79.7
12.772
15.604
15.874
365.8
61
91
92
67.7
66
119
119
97.2
21
21
23.8
70
13
92
37.4
226
229
86.8
12
17
18
12.6
33
42
44.0
1.086
1.162
177.9
2,545
7.871
436.8
451
716
750
182.7
1 3,042
22.997
23.844
549.5
134
466
469
345.1
162
518
519
423.9
162
198
224.8
242
40
359
145.9
611
617
234.0
93
127
130
91.3
34
175
183.2
4.006
4.391
672.3
370
383
668.5
7,759
18,276
1,014.1
1,714
2.836
2,944
717.2
22,156
42,460
44.357
1.022.3
403
730
736
541.6
255
1,052
1.054
860.9
513
632
717.6
624
276
1.726
701.3
1.454
1,469
557.0
457
722
737
517.7
309
591
618.8
4,277
4.861
744.2
892
943
1.646.0
16,723
60,486
3,356.3
10.743
15,804
16,001
3.898.3
42.631
133,160
141.795
3.267.9
1,380
2,532
2,552
1,878.1
2,034
3.967
3,975
3,246.7
1.794
2,031
2,305.9
2.981
1.447
6.477
2.631.7
4,906
4.972
1.885.4
2,272
3,680
3,776
2.652.2
1.602
2,994
3,134.7
26,915
28.611
4,380.4
2.659
2.739
4.780.9
6,246
10.448
579.7
886
1.205
1,228
299.2
29,569
46,211
47.562
1.096.1
103
177
179
131.7
124
247
248
202.6
146
165
187.3
212
75
448
182.0
83
170
176
123.6
22
60
62.8
3.904
4,106
628.6
243
250
436.4
85
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
Erie, Pa. M.S.A
(Includes Erie County.)
City of Erie
Total area actually reporting
Rate per 100,000 inhabitants
Eugene-Springfield, Or. M.S.A
(Includes Lane County.)
City of:
Eugene
Springfield
Total area actually reporting
Rate per 100,000 inhabitants
Evansville-Henderson, ln.-Ky. M.S.A. .
(Includes Posey, Vanderburgh, and
Warrick Counties, In., and Henderson
County, Ky.)
City of:
Evansville, In
Henderson, Ky.
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Eargo-Moorhead, N.D.-Mn. M.S \ .
(Includes Cass County, N.D.. and Clay
County, Mn.)
City of:
Fargo, N.D
Moorehead, Mn
Total area actually reporting
Rate per 100,000 inhabitants
Fayettevllle, N.C. M.S.A
(Includes Cumberland County.)
City of Fayetteville
Total area actually reporting
Rate per 100,000 inhabitants
Eayetteville-Springd ale-Rogers, Ar.
M.S.A
(Includes Benton and Washington
Counties.)
City of:
Fayetteville
Springdale
Rogers
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Eltchburg- Leominster, Ma. MSA . . .
(Includes part of Middlesex and
Worcester Counties.)
City of:
Fitchburg
Leominster
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Flint, Mi. M.S.A
(Includes Genesee County.)
City of Flint
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants.
Florence, AI. M.S.A
(Includes Colbert and Lauderdale
Counties.)
City of Florence
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Florence, S.C. M.S.A
(Includes Florence County.)
City of Florence
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.
280,929
109.785
100.0%
120.498
48.055
100.0%
287,657
1 29,684
26,966
99.7%
100.0%
159,493
231,283
5,867
9,504
3,383.1
10.457
5,192
20,052
6,637.5
7,264
2,212
12,028
12,073
4.197.0
77.603
3,749
33,437
1,882
100.0%
6,571
4,119.9
286.809
79.273
10,482
100.0%
23,661
8.249.7
47.205
2.389
33,588
1,369
28.000
1,480
99.1%
7,961
100.0%
8.089
3.497.4
39.248
2.589
38.563
1,826
78.7%
5,093
100.0%
6,021
436J54
4,374.3
140.225
18,412
96.2%
32,144
100.0%
32,966
7,556.6
37.589
1,974
98.7%
3.890
100.0%
3,982
2.909.9
120,596
31.260
3.507
100.0%
8.228
6.822.8
813
1,024
364.5
536
279
976
323.1
785
702
1.699
1.706
593.1
91
72
200
125.4
1.840
3.033
1.057.5
127
63
68
405
415
179.4
648
147
888
1.002
728.0
3.999
5,302
5,380
1,233.2
5.054
8,480
3.018.6
9.921
4,913
19.076
6.314.4
6.479
1.510
10.329
10,367
3.603.9
3.658
1.810
6.371
3.994.5
8.642
20.628
7.192.2
2.262
1,306
1.412
7,556
7,674
3.318.0
1.941
1,679
4.205
5.019
3,646.3
14,413
26.842
27.586
6.323.4
175
1.799
297
3,593
309
3,673
225.8
2,684.1
605
2.902
1.361
6,867
1.128.6
5,694.2
1
10
10
3.5
15
47
16 4
58
69
70
16.0
63
108
38.4
51
26
138
45.7
50
16
96
96
33.4
28
13
47
29.5
205
71.5
27
II
II
76
77
33.3
43
9
54
59
42.9
202
336
343
78.6
5
14
15
11.0
26
74
61.4
412
434
154.5
213
85
331
109.6
161
31
199
200
69.5
29
9
40
25.1
488
841
293.2
15
10
II
44
47
20.3
91
50
144
161
117.0
1,169
1.555
1.572
360.3
28
41
44
32.2
170
274
227.2
330
473
168.4
270
168
502
166.2
566
654
1.394
1,400
486.7
34
48
111
69.6
1.249
1,940
676.4
80
42
46
279
285
123.2
514
88
690
782
568.1
2.570
3,342
3,395
778.2
137
234
242
176.8
406
1.000
829.2
1.137
1,844
656.4
1.869
969
4.113
1.361.5
1.552
312
2.363
2,370
823.9
332
180
718
450 2
2,183
5.854
2,041.1
340
224
195
1.417
1.440
622.6
719
571
1.526
1,715
1.245.9
4.235
6,618
6,737
1.544.3
371
751
768
561.2
616
1.886
1,563.9
3.466
6,003
2,136.8
7,382
3.572
13.578
4,494.5
4,541
1,113
7.422
7.451
2.590.2
3.146
1.567
5,361
3,361.3
5.810
13.133
4.579.0
1,771
977
1.169
5.727
5,813
2.513.4
1.027
960
2.286
2.789
2.026.2
7.587
16,317
16.857
3.864.0
1.381
2.743
2.800
2.046.1
2,078
4.472
3,708.2
451
633
225.3
670
372
1.385
458.5
386
85
544
546
189 8
180
63
292
183.1
649
1.641
572.2
15!
105
48
412
421
182.0
195
148
393
515
374.1
2.591
3.907
3.992
915 1
47
99
105
76 7
208
509
422 1
86
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total1
Violent
crime-
Property
cnme3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Fort Collins-Loveland. Co. M.S.A
(Includes Larimer County.)
City of:
Fort Collins
Loveland
Total area actually reporting
Rate per 100,000 inhabitants
Fori Lauderdale, Ft. M.S.A ,
(Includes Broward County.)
City of Fort Lauderdale
Total area actually reporting
Rate per 1 00.000 inhabitants
Fort Myers-Cape Coral, Fl. M.S.A
(Includes Lee County.)
City of:
Fort Myers
Cape Coral
Total area actually reporting
Rate per 100,000 inhabitants
Fort Smith. Ar.-Ok. M.S.A
(Includes Crawford and Sebastian
Counties. An. and Sequoyah County,
Ok.)
City of Fort Smith. Ar
Total area actually reporting
Rate per 100.000 inhabitants
Fort Walton Beach, Fl. M.S.A
(Includes Okaloosa County.)
City of Fort Walton Beach
Total area actually reporting
Rate per 100,000 inhabitants
Fort Wayne, In. M.S.A
(Includes Adams, Allen. De Kalb.
Huntington and Whitley Counties.)
City of Fort Wayne
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Fort Worth-Arlington, Tx. M.S.A
(Includes Johnson. Parker and Tarrant
Counties.)
City of:
Fort Worth
Arlington
Total area actually reporting
Rate per 100.000 inhabitants
Fresno, Ca. M.S.A
(Includes Fresno and Madera Counties.)
City of Fresno
Total area actually reporting
Rate per 100.000 inhabitants
Gadsden, Al. M.S.A
(Includes Etowah County.)
City of Gadsden
Total area actually reporting
Rate per 100.000 inhabitants
Gainesville, Fl. M.S.A
(Includes Alachua County)
City of Gainesville
Total area actually reporting
Rate per 100.000 inhabitants
Galveston-Texas City, Tx. M.S.A
(Includes Galveston County.)
City of:
Galveston
Texas City
Total area actually reporting
Rate per 100.000 inhabitants
Gary-Hammond, In. M.S.A
(Includes Lake and Porter Counties.)
City of:
Gary
Hammond
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
See footnotes at end of table.
209,041
98.479
42,552
100.0%
1J52.749
153,701
100.0%
364,320
47.983
84.364
100.0%
184,703
75.770
100.0%
158,768
23.518
100.0%
470,936
176.603
83.1%
100.0%
1.568.414
237,034
61.922
43.360
100.0%
627,016
118.640
85.655
99.2%
100.0%
4.452
1.310
7,805
3,733.7
27.775
125.713
9.293.2
6,961
3.993
21.288
5.843.2
5.817
8.493
4,598.2
1.230
5.712
3.597.7
12,914
17,262
20.123
4.273.0
472.288
43.400
286.748
20.798
100.0%
97.469
6,214.5
818382
382,655
46,076
100.0%
71.144
8.691 1
101,320
44,671
4,666
100.0%
6,115
6,035.3
196.002
89.787
10,945
100.0%
19.776
10.089.7
7.034
3.696
16.493
6.958.1
11.234
7.618
34.961
35.219
5.616.9
392
113
579
277.0
2.440
13.055
965.1
1.241
241
2,565
704.1
478
705
381 7
127
590
371.6
982
1,398
1,617
343.4
6.035
2,443
11,757
749.6
6,199
9.986
1.219.9
755
831
820.2
1.528
2.699
1.377.0
1.550
368
2,531
1,067.8
2.797
1,256
5.443
5,463
871.3
4,060
1.197
7,226
3.456.7
25.335
112,658
8,328.1
5.720
3.752
18.723
5.139.2
5.339
7,788
4.216.5
1.103
5.122
3.226.1
11.932
15,864
18,506
3.929.6
37.365
18.355
85.712
5.464.9
39.877
61.158
7.471.2
3.911
5.284
5.215.2
9,417
17.077
8.712.7
5.484
3,328
13.962
5,890.3
8,437
6,362
29,518
29,756
4,745.7
33
103
7.6
38
47
49
10.4
132
18
186
11.9
84
137
16.7
10
II
10.9
9
16
8.2
20
6
37
15.6
80
11
116
116
18.5
53
36
112
536
94
537
39.7
61
12
203
55.7
61
81
43.9
14
37
23.3
100
129
145
30.8
413
144
907
57.8
192
368
45.0
38
50
49.3
72
173
88.3
46
40
165
696
143
38
226
227
36.2
34
12
53
25.4
1,274
4,491
332.0
371
35
612
168.0
73
87
47.1
28
80
50.4
577
613
656
139.3
2.379
654
3.627
231.3
2.810
3.429
418.9
127
141
139.2
391
568
289.8
422
123
642
270.8
855
344
1.521
1.524
243.1
304
65
411
196.6
1,039
7,924
585.8
802
191
1.722
472.7
334
522
282.6
85
467
294.1
267
609
767
162.9
3.111
1.627
7.037
448.7
3.113
6.052
739.3
580
629
620.8
1.056
1.942
990.8
1,062
199
1.687
711.7
1,719
863
3,580
3,596
573.5
720
138
1.249
597,5
5.405
22.972
1.698.2
1.444
930
4.748
1.303.2
848
1,701
920.9
215
1,086
684.0
1.778
2.529
3,002
637.5
8.295
3.470
17.759
1.132.3
7.659
13.917
1.700.1
910
1.225
1.209.0
2.122
4,220
2.153.0
1,063
604
2.929
1.235.7
2.547
1,246
6,010
6,037
962.8
3.169
1,010
5.695
2.724.3
16.382
73.036
5.399,1
3.426
2,578
11,643
3,195.8
4.118
5,528
2,992.9
813
3,761
2.368.9
8.477
11,318
13.252
2.814.0
23.712
12.402
57.371
3.657.9
18.640
29.707
3.629.1
2,679
3,691
3,642,9
6.610
11,632
5.934.6
3,576
2.403
9.426
3.976.6
3.410
3.830
17.611
17.803
2.839.3
171
49
282
134.9
3,548
16,650
1.230,8
850
244
2.332
640.1
373
559
302.6
75
275
173.2
1.677
2,017
2.252
478,2
5.358
2,483
10.582
674.7
13,578
17,534
2,142.0
322
368
363.2
685
1.225
625.0
845
321
1,607
678.0
2,480
1,286
5,897
5,916
943.5
87
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
Glens Falls, N.Y. M.S.A
(Includes Warren and Washington
Counties.)
City of Glens Falls
Total area actually reporting
Rate per 100,000 inhabitants
Goldsboro, N.C. M.S.A
(Includes Wayne County.)
City of Goldsboro
Total area actually reporting
Rate per 100,000 inhabitants
Grand Forks, N.D.-Mn. M.S.A
(Includes Grand Forks County. N.D. and
Polk County, Mn.)
City of Grand Forks. N.D
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Grand Rapids-Muskegon-Holland, Mi.
M.S.A
(Includes Allegan, Kent, Muskegon, and
Ottawa Counties.)
City of:
Grand Rapids
Muskegon
Holland
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Greeley, Co. M.S.A
(Includes Weld County.)
City of Greeley
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Green Bay, Wi. M.S.A
(Includes Brown County.)
City of Green Bay
Total area actually reporting
Rate per 100,000 inhabitants
Greensboro-Winston -Salem -High Point,
N.C. M.S.A
(Includes Alamance, Davidson, Davie.
Forsythe, Guilford. Randolph, Stokes,
and Yadkin Counties.)
City of:
Greensboro
Winston-Salem
High Point
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Greenville, N.C. M.S.A
(Includes Pitt County.)
City of Greenville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Greenville-Spartan burg- Anderson, S.C.
M.S.A
(Includes Anderson, Cherokee.
Greenville, Pickens, and Spartanburg
Counties.)
City of:
Greenville
Spartanburg
Anderson
Total area actually reporting
Rate per 100.000 inhabitants
Hagerstown, Md. M.S.A
(Includes Washington County.)
City of Hagerstown
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table
121,333
14.255
1.080
100 0%
3,639
2,999.2
111495
44,062
4,294
100 0%
6,673
5,990.4
104,344
49.642
99.5%
100.0%
970,648
192.486
41.200
31,700
97.5%
100.0%
143,346
65,178
98.4%
100.0%
204,940
102,248
100.0%
1.115,852
2,749
4.221
4,240
4.063.5
15.336
4,999
1.914
47,107
48,305
4,976.6
4,210
7,854
7,999
5,580.2
4,753
7,800
3.806.0
196.424
16,998
149.745
19,468
73,172
6.977
99.5%
69.746
100.0%
70,166
6.288.1
114,164
48,299
5.131
99.6%
8,564
100.0%
8.597
7,530.4
60.040
6,622
45.875
6,840
28,403
2,811
100.0%
51,159
5,889.7
127,743
38,250
1.778
100.0%
3,088
2.417.4
236
477
393.1
615
857
769.3
94
190
191
183.0
2.847
818
188
6.063
6.176
636.3
164
509
525
3662
509
627
305.9
2.007
2,680
1,049
8,017
8.055
721 9
513
882
885
775.2
1,013
1.459
543
9.153
1.053.7
240
390
305.3
844
3.162
2.606 1
3.679
5,816
5.221.1
2.655
4,031
4,049
3.880.4
12.489
4.181
1,726
41.044
42,129
4.340.3
4.046
7.345
7.474
5.214.0
4.244
7.173
3,500.0
14.991
16.788
5,928
61,729
62.111
5.5662
4.618
7,682
7,712
6.755.2
5.609
5,381
2.268
42.006
4.835.9
1,538
2.698
2112.1
7
14
12.6
1
45
46
4.7
21
41
14
124
125
11.2
13
19
19
16.6
6
11
6
77
8.9
1
25
20.6
26
45
40.4
24
41
41
393
113
27
34
607
617
63 6
28
71
72
50 2
46
74
36.1
142
36
390
392
35.1
42
42
36.8
44
42
13
445
51.2
5
14
11.5
158
199
178.6
16
23
23
22.0
186
8
1,412
1.437
148.0
54
84
87
60.7
59
70
34.2
767
969
326
2.497
2,506
224.6
204
264
265
232.1
253
318
163
1 .65 1
190.1
53
75
58.7
230
434
357.7
424
599
537.7
54
125
126
120.8
1.823
600
145
3,999
4,076
419.9
79
345
357
249.0
400
479
233.7
1.130
1.528
673
5.006
5.032
451.0
268
557
559
489.6
710
1.088
361
6.980
803.6
169
282
220 8
146
626
515.9
809
1,586
1.423.8
188
409
411
3939
3.172
1. 131
116
9.199
9,372
965.5
575
1.395
1.417
988.5
625
1.070
522.1
3.245
4.905
1.896
17,809
17,897
1.603.9
1.458
2.725
2,732
2.393.0
1,122
1,012
748
11.023
1.269.0
315
562
439,9
678
2,430
2,002.8
2.669
3,912
3.511.8
2,269
3,327
3,342
3,202.9
8.241
2,808
1.540
29,224
30,013
3,092.1
3,296
5,573
5,671
3,956.2
3,415
5,785
2,822.8
10.787
10.665
3.596
40,163
40,442
3,624.3
2.908
4.579
4,601
4,030.2
4,153
3,865
1.344
27.904
3.212.4
1.134
1.985
1.553.9
20
106
87.4
201
318
285.5
198
295
296
283.7
1.076
242
70
2.621
2,744
282.7
175
377
386
2693
204
318
155.2
959
1.218
436
3,757
3.772
338.0
252
378
379
332.0
334
504
176
3,079
354.5
89
151
88
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime2
Property
cnme-1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
JSSJUll
Burglary
Larceny-
theft
Motor
vehicle
theft
Hamilton-Middletown, Oh. M.S.A
(Includes Butler County.)
City of:
Hamilton
Middletown
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Harrisburg-Lebanon-Carlisle, Pa.
M.S.A
(Includes Cumberland. Dauphin.
Lebanon, and Perry Counties.)
City of:
Harrisburg
Lebanon
Carlisle
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Hartford, Ct. M.S.A
(Includes all of Hartford County. Ct.
and part of Litchfield. Middlesex, New
London. Tolland, and Windham
Counties.)
City of Hartford
Total area actually reporting
Rate per 100,000 inhabitants
Hickory-Morganton, N.C. M.S.A
(Includes Alexander. Burke. Caldwell,
and Catawba Counties.)
City of:
Hickory
Morganton
Total area actually reporting
Rate per 100,000 inhabitants
Honolulu, Hi. M.S.A
(Includes Honolulu County)
Total area actually reporting
Rate per 100,000 inhabitants
Houma, La. M.S.A
(Includes Lafourche and Terrebonne
Parishes.)
City of Houma
Total area actually reporting
Rate per 100,000 inhabitants
Houston, Tx. M.S.A
(Includes Chambers. Fort Bend. Harris,
Liberty, Montgomery, and Waller
Counties. )
City of Houston
Total area actually reporting
Rate per 100,000 inhabitants
Huntington-Ashland. W.V.-Ky.-Oh.
M.S.A
(Includes Cabell and Wayne Counties.
W.V. Boyd, Carter, and Greenup
Counties. Ky.. and Lawrence County.
Oh.)
City of:
Huntington. W.V.
Ashland, Ky.
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Huntsville, Al. M.S.A
(Includes Limestone and Madison
Counties.)
City of Huntsville.
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
See footnotes at end of table.
307,222
64.295
47,667
78.7%
100.0%
1,053,143
131.833
100,0%
309,435
1.758.016
100.0%
318.516
54,481
24.733
79.3%
100.0%
314,071
166,514
99.8%
100.0%
5.197
2,887
13.934
15.432
5.023.1
53.683
4.487
25.372
1,169
19.005
861
98.5%
20,322
100.0%
20,572
3.399.8
16,572
51.079
4,850.1
29.658
3,271
15,958
1.146
100.0%
12,683
4.098.8
880,687
100.0%
60.825
6.9065
188,083
31.506
1.493
100.0%
8.013
4.260.4
3,670,528
128,079
207.166
5.644.0
3,460
992
8.304
10,082
3,165.3
15,621
18.931
18,967
6,039.1
940
164
1.473
1.556
506.5
1.131
89
60
2,422
2,445
404.1
3,162
5,755
546.5
415
79
1.186
383.3
2.528
287.0
254
1.343
714.0
22.986
32.218
877.7
355
116
1,032
1.149
360.7
2.230
2.234
711.3
4,257
2,723
12.461
13.876
4.516.6
3.356
1.080
801
17,900
18,127
2.995.8
13.410
45.324
4,303.7
2.856
1,067
11.497
3,715.5
58.297
6.619.5
1,239
6,670
3,546.3
105,093
174,948
4.766.3
3.105
876
7,272
8,933
2.804.6
13.819
16,701
16,733
5,327.8
55
76
7.2
35
4.0
375
503
13.7
18
27
27
8.6
86
16
133
149
48.5
58
4
II
186
187
30.9
97
285
27.1
25
10
93
30.1
266
30.2
12
54
28.7
931
1,954
53.2
71
II
160
176
55.3
114
114
36.3
246
66
365
390
126.9
610
37
21
872
878
145.1
1.549
2,423
230.1
176
18
292
94.4
1.058
120.1
73
197
1047
9,981
12,156
331.2
126
II
169
202
63.4
382
419
420
133.7
602
80
964
1,005
327.1
446
48
28
1,335
1.351
223.3
1.461
2.971
282.1
209
51
776
250.8
1.169
132.7
167
1.076
572.1
11.699
17.605
479.6
152
94
686
753
236.4
1,314
1.670
1,673
532.7
1.078
641
2,824
3.160
1.028.6
1.062
165
139
3,315
3,350
553.6
3.128
9,901
940.1
572
214
3.266
1.055.5
10,018
1.137.5
231
1,858
987.9
25.518
43.563
1.186.8
785
186
1.882
2.232
700.7
2,710
3.437
3,444
1 .096.6
2.767
2.005
8,922
9.895
3,220.8
1.692
867
625
13,167
13,334
2.203.6
7.579
28.892
2,743.4
2,158
802
7,694
2,486.5
42,552
4,831.7
910
4,414
'.346.8
56.945
97,903
2.667.3
2,150
636
4,911
6.096
1.913.9
10.114
12,098
12.121
3,859.3
412
77
715
821
267.2
602
48
37
1.418
1,443
238.5
2.703
6.531
620.1
126
51
537
173.5
5.727
650.3
98
398
211.6
22,630
33,482
912.2
170
54
479
605
189.9
995
1.166
1.168
371.9
89
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
B
Iowa City, la. M.S.A
(Includes Johnson County.)
City of Iowa City
Total area actually reporting
Rate per 100.000 inhabitants
Jackson, Mi. M.S.A ,
(Includes Jackson County.)
City of Jackson
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Jackson, Ms. M.S.A
(Includes Hinds, Madison, and
Rankin Counties.)
City of Jackson.
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Jackson, Tn. M.S.A
(Includes Madison County)
City of Jackson.
Total area actually reporting
Rate per 100.000 inhabitants
Jacksonville, Fl. M.S.A
(Includes Clay. Duval. Nassau, and St.
Johns Counties.)
City of Jacksonville
Total area actually reporting
Rate per 100.000 inhabitants
Jacksonville, N.C. M.S.A
(Includes Onslow County.)
City of Jacksonville
Total area actually reporting
Rale per 100,000 inhabitants
Jamestown, N.Y. M.S.A
(Includes Chatauqua County.)
City of Jamestown
Total area actually reporting
Rate per 100.000 inhabitants
Janesville-Beloit, Wl. M.S.A
(Includes Rock County.)
City of:
Janesville
Beloit
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Jersey City, N J. M.S.A
(Includes Hudson County.)
City of Jersey City
Total area actually reporting
Rate per 100.000 inhabitants
Johnson City-Kingsport-Bristol, Tn.-Va.
M.S.A
(Includes Carter, Hawkins, Sullivan.
Unicoi, and Washington Counties, Tn.,
Bristol City and Scott and Washington
Counties, Va.)
City of:
Johnson City, Tn
Kingsport. Tn
Bristol, Tn
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Johnstown, Pa. M.S.A
(Includes Cambria and Somerset
Counties.)
City of Johnstown
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
See footnotes at end of table.
98,448
59.862
2.464
100.0%
3.468
3.522.7
152.722
38.413
2.686
86.3%
5.764
100.0%
6.804
4.455.2
413,338
200,272
27.993
87.6%
32.971
100.0%
36.053
8.722.4
82.622
52.360
5,537
100.0%
6,364
7,702.5
985.762
685.776
65.997
100.0%
80.038
8.119.4
149,471
32.661
3.125
100 0%
5,941
3,974.7
142.115
34,617
1.827
100.0%
5.273
3.710.4
145J01
55.262
37.082
96.7%
100.0%
560,8%
231.028
100.0%
457,137
241,897
27.815
90.0%
100.0%
3.153
2,167
6.561
6.745
4.642.1
18.758
36.297
6.471.3
51.892
2.488
38.971
1.892
25.203
1,089
95.9%
10.988
100.0%
12.012
2,627.7
1.215
3.356
4,001
1.654.0
246
328
333.2
328
775
872
571.0
3.368
3,746
4.005
968.9
884
1.016
1,229.7
10.423
12.377
1.255.6
271
388
259.6
143
451
317.3
141
126
383
390
268.4
4.309
6,242
1.112.9
136
261
88
1.064
1.188
259.9
153
417
478
197.6
2.218
3,140
3,189.5
2.358
4.989
5,932
3,884.2
24.625
29,225
32.048
7.753.5
4,653
5,348
6,472.9
55.574
67.661
6.863.8
2.854
5,553
3.715.1
1.684
4,822
3.393.0
3.012
2.041
6.178
6.355
4.373.7
14.449
30.055
5.358.4
2.352
1.631
1.001
9.924
10,824
2,367.8
1.062
2.939
3,523
1.456.4
6
6
7
4.6
91
119
123
29.8
7
9
10.9
106
123
12.5
2
3
6
6
4.1
2
22
23
5.0
25
31
31 5
73
157
165
108.0
207
240
261
63.1
39
53
64.1
648
768
77.9
26
50
33.5
15
24
169
18
8
42
43
29.6
74
II
21.0
12
20
5
82
90
19.7
17
43
47
19.4
12
19
19.3
84
109
130
85.1
1,909
1,994
2,065
4996
202
215
260.2
3.427
3.706
376.0
123
82.3
33
78
54.9
20
70
98
100
68.8
2.240
3.165
564.3
39
26
4
113
132
28.9
37
52
67
27.7
209
277
281.4
165
503
570
373.2
1.161
1.393
1,556
376.4
636
739
894.4
6,242
7,780
789.2
153
208
139.2
95
348
244.9
101
45
237
241
165 9
1,958
2,912
519.2
82
213
77
847
943
2063
98
321
363
150.1
455
683
693.8
371
976
1,127
737.9
7.370
8.729
9.490
2,295.9
1,122
1.355
1.640.0
14,327
16,994
1.723.9
779
1.593
1,065.8
329
942
662.8
533
266
1.026
1.049
721.9
4.285
7,533
1.343.0
472
321
147
2.369
2,543
556.3
250
756
845
349.3
1.642
2,299
2,335.2
1.939
3,835
4,520
2,9596
12,303
15,217
17.131
4.144.5
3.244
3,641
4.406.8
34.453
43.127
4,375.0
1.963
3,653
2,444.0
1,287
3,726
2,621.8
2,360
1.654
4,862
5,007
3.446.0
6.477
15,567
2,775.4
1.704
1.189
811
6.895
7,567
1.655.3
735
1.975
2,406
994.6
121
158
160.5
48
178
285
186.6
4.952
5.279
5.427
1.313.0
287
352
426.0
6.794
7.540
764.9
112
307
205 4
68
154
108.4
119
121
290
299
205.8
3.687
6.955
1.240.0
176
121
43
660
714
156.2
77
208
272
112.4
90
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime2
Property
crime3
Murder
and non-
neghgeni
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Joplin, Mo. M.S.A
(Includes Jasper and Newton Counties.)
City of Joplin
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants.
Kenosha, Wi. M.S.A
(Includes Kenosha County.)
City of Kenosha
Total area actually reporting
Rale per 100.000 inhabitants
Killeen-Temple, Tx. M.S.A
(Includes Bell and Coryell Counties.)
City of:
Killeen
Temple
Total area actually reporting
Estimated total
Rate per 1 00,000 inhabitants
Kokomo, In. M.S.A
(Includes Howard and Tiplon Counties.)
City of Kokomo
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
La Crosse, Wi.-Mn. M.S.A
(Includes La Crosse County. Wi., and
Houston County. Mn .)
City of La Crosse, Wi.
Total area actually reporting
Rate per 100.000 inhabitants
Lafayette, In. M.S.A
(Includes Clinton and Tippecanoe
Counties.)
City of Lafayette
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Lafayette, La. M.S.A
(Includes Acadia, Lafayette. St. Landry,
and St. Martin Parishes.)
City of Lafayette
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Lake Charles, La. M.S.A
(Includes Calcasieu Parish.)
City of Lake Charles
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Lakeland- Winter Haven, Fl. M.S.A
(Includes Polk County.)
City of:
Lakeland
Winter Haven
Total area actually reporting
Rate per 100.000 inhabitants
Lancaster, Pa. M.S.A
(Includes Lancaster County.)
City of Lancaster
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Lansing-East Lansing, Mi. M.S. \
(Includes Clinton, Eaton, and Ingham
Counties.)
City of:
Lansing
East Lansing
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
See footnotes at end of table
139,800
42.042
76.0%
100.0%
136,358
84.993
100.0%
120,178
52.261
100.0%
167,583
45.896
80.8%
100.0%
356,246
98.181
97.7%
100.0%
172,945
71.733
85.8%
100.0%
433,564
75.159
25.801
100.0%
436,447
57,441
93.6%
100.0%
439,291
127.551
48.831
98.9%
100.0%
2.905
4,763
5.670
4,055.8
4,303
6,355
4,660.5
69.190
4.465
46.874
3.516
99.6%
12.718
100.0%
12.776
100,213
4.823.6
46.721
2.502
83.7%
3.234
100.0%
3.844
3.835.8
3.018
4.582
3.812.7
2.709
5.741
7.040
4,200.9
9.297
16.646
17.215
4.832.3
5,575
11.610
13.326
7,705.3
9,586
3.336
36,133
8,333.9
4,395
12.551
13.302
3.047.8
10,250
2,186
23.406
23.641
5.381.6
247
319
398
284.7
356
431
316 1
421
569
1.622
1.627
6143
205
388
434
433.1
138
114.8
999
1.994
2.075
582.5
612
1.319
1.563
903.8
975
275
3.746
864.0
488
935
1.007
230.7
1,613
151
2.563
2.585
588.4
2,658
4.444
5.272
3.771.1
3.947
5.924
4,344.4
4.044
2.947
11,0%
11.149
4.209.3
2.297
2.846
3.410
3,402.8
2,990
4,444
3,697.8
103
2.606
412
5.329
512
6.528
05.5
3.895.4
8.298
14.652
15.140
4.249.9
4.963
10.291
11.763
6.801 6
8.611
3.061
32.387
7.469.9
3,907
11.616
12.295
2.817.1
8.637
2.035
20.843
21.056
4,793.2
13
8
30
30
11.3
6
17
18
5.1
12
19
21
12.1
41
9.5
7
10
11
2.5
31
39
46
32.9
40
48
35.2
81
65
192
192
72.5
23
28
31
30.9
9
19
15.8
17
28
35
20.9
72
139
142
399
41
104
113
65.3
44
15
165
38.1
54
91
95
21.8
156
35
411
413
94.0
49
61
73
52.2
125
142
104.1
145
73
257
258
97.4
45
51
59
589
6
14
11.6
23
34
51
304
313
433
447
125.5
176
263
306
176.9
323
89
917
211.5
243
339
357
81.8
349
33
514
519
118.1
166
216
275
196.7
187
236
173 I
182
423
1.143
1.147
433,0
137
308
343
342.3
13
104
86.5
63
349
424
253.0
608
1.405
1.468
412.1
383
933
1.123
6493
598
171
2.623
6050
184
495
544
1246
1.098
83
1.624
1.639
373.1
724
1. 181
1.374
982.8
913
1.243
911 6
960
519
2.532
2.543
960.1
399
579
674
672.6
241
429
357.0
434
739
922
550.2
1.780
3,551
3.642
1.022.3
1.097
2.319
2.593
1,499 3
1.924
704
9.361
2.159.1
970
2.465
2.569
588.6
1.539
244
3.508
3.542
806.3
1.757
2.996
3.555
2.542.9
2.745
4.282
3.140.3
2.840
2.204
7,901
7,939
2.997.4
1,799
2,141
2,560
2.554.6
2,650
3.879
3.227.7
2,044
4,376
5.290
3.156 6
6.250
10.568
10.923
3.066.1
3.450
7.300
8.372
4.840.8
5.494
2,080
19.121
4.410.2
2.565
8,249
8,750
2,004.8
6,121
1.634
15.659
15.814
3,599.9
177
267
343
245.4
289
399
292.6
244
224
663
667
251.8
99
126
176
175 6
99
136
113.2
128
214
316
188.6
268
533
575
161.4
416
672
798
461.4
1,193
277
3,905
900.7
372
902
976
223.6
977
157
1,676
1,700
387.0
91
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Properly
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Laredo, Tx. M.S.A
(Includes Webb County.)
City of Laredo
Total area actually reporting
Rate per 100,000 inhabitants
Las Cruces, N.M. M.S.A
(Includes Dona Ana County.)
City of Las Cruces
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Las Vegas, Nv.-Az. M.S.A
(Includes Clark and Nye Counties, Nv.;
and Mohave County, Az.)
City of Las Vegas, Nv.
Total area actually reporting
Rate per 100.000 inhabitants
Lawrence, Ma.-N.H. M.S.A
(Includes part of Essex County. Ma and
Rockingham County, N.H.)
City of Lawrence, Ma
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Lawton, Ok. M.S.A
(Includes Comanche County.)
City of Lawton
Total area actually reporting
Rate per 100.000 inhabitants
Lewiston-Auburo, Me. M s. \
(Includes part of Androscoggin County.)
City of:
Lewiston
Auburn
Total area actually reporting
Rate per 100,000 inhabitants
Lexington, 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
Lima, Oh. M.S.A
(Includes Allen and Auglaize Counties)
City of Lima
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Lincoln, Nb. M.S.A
(Includes Lancaster County.)
City of Lincoln
Total area actually reporting
Rate per 100.000 inhabitants
Little Rock-North little Rock, Ar.
M.S.A
(Includes Faulkner. Lonoke. Pulaski,
and Saline Counties.)
City of:
Little Rock
North Little Rock
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Longview-Marshall, Tx. M.S.A
(Includes Gregg. Harrison, and Upshur
Counties.)
City of:
Longview
Marshall
Total area actually reporung
Rate per 100,000 inhabitants
See footnotes at end of table
154,298
141,872
100.0%
IS 3,288
69,490
98.6%
100.0%
1,055,812
752,577
100.0%
297,983
66,016
97.0%
100.0%
122,457
88,608
100.0%
38,153
24,017
100.0%
428.642
538,606
181,157
63.862
99.8%
100.0%
207,771
75.551
24.372
100.0%
9.011
9,447
6,122.6
6.857
9,137
9,269
6.0468
58.161
79.745
7.553.0
5.817
13.714
13.995
4,696.6
7,563
7.981
6.5174
2,433
683
4,097
3.932.9
237.451
16.146
99.9%
24.701
100.0%
24,733
5,770.1
157,302
45,575
4.551
78.0%
6,776
100.0%
8.111
222498
5,156.3
200.202
14,240
100.0%
15.517
6.970.9
26.741
7,183
46.161
46.238
8.584.8
6,218
2.051
12,333
5.935.9
994
1,053
682.4
692
894
906
591 0
9.418
12.454
1.179.6
1.162
1.480
1.515
508.4
1.165
1.231
1.005.3
152
12
190
182.4
2.328
3.945
3.950
921.5
1.336
1.595
1.283
1.310
588.5
5,352
729
7.292
7,299
1.355.2
673
199
1,396
671.9
8.017
8,394
5.440.1
6.165
8,243
8,363
5.455.7
48,743
67,291
6.3734
4.655
12,234
12.480
4.188.2
6.398
6.750
5.512.1
2.281
671
3.907
3.750.5
13,818
20.756
20,783
4,848.6
3.215
5.181
6,429
4,087.0
12.957
14.207
6.382.4
21.389
6.454
38.869
38,939
7,229.6
5,545
1.852
10,937
5,264.0
24
25
16.2
6
14
14
9.1
105
145
13.7
12
9.8
23
38
38
8.9
6
6
7
4.5
56
19
107
107
19.9
15
6
37
17.8
6
7
4.5
59
92
93
60.7
574
790
74.8
24
81
83
27.9
67
71
58.0
24
5
35
33.6
116
185
185
43.2
109
114
51.2
191
78
375
376
69.8
74
15
118
56.8
210
136 1
124
185
186
121.3
3.805
4,514
427.5
370
445
450
151.0
222
225
183 7
35
33.6
699
814
815
190.1
199
213
240
152.6
179
182
si 8
1.041
347
1.564
1.566
290.8
198
29
283
136.2
756
811
525.6
503
603
613
3999
4,934
7.005
663 5
759
945
973
326.5
923
753.7
97
5
119
114.2
1.490
2.908
2.912
679.4
1,083
1.303
1,353
860.1
993
1.012
454.6
4.064
285
5.246
5.250
974.7
386
149
958
461.1
1,798
1,942
1,258.6
1,402
2.106
2,129
1.388.9
1 1 ,657
16,508
1,563.5
1,468
2,601
2.658
892.0
1,676
1,790
1,461.7
505
113
892
856.3
3,089
4,500
4,505
1,051.0
1,038
1.525
1.716
1.090.9
2.032
2.210
992.8
5,767
1.465
9.941
9.955
1.848.3
1.421
384
2.913
1,402.0
5.328
5,532
3,585.3
4.391
5.605
5.694
3,714.6
29,351
40,821
3.866.3
1.302
5.939
6.091
2.044.1
4.295
4.514
3.686.2
1.709
519
2.857
2.742.6
10.058
15.226
15.246
3.556.8
1.990
3,381
4.337
2.757.1
10.396
11.427
5,133.5
13.869
4.337
25.787
25.838
4.797.2
3.606
1,374
7,208
3,469.2
891
920
596.2
372
532
540
352.3
7.735
9.962
943.5
1.885
3.694
3.731
1.252.1
427
446
364.2
67
39
158
151.7
671
1,030
1,032
240.8
187
275
376
239.0
529
570
256.1
1.753
652
3,141
3.146
584,1
518
94
816
392.7
92
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total1
Violent
cnme2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Los Angeles-Long Beach, Ca. M.S.A. . .
(Includes Los Angeles County.)
City of:
Los Angeles
Long Beach ,
Total area actually reporting
Rate per 100.000 inhabitants
Louisville. Ky.-In. M.S.A
(Includes Bullitt, Jefferson, and Oldham
Counties, Ky., and Clark, Floyd,
Harrison, and Scott Counties, In.)
City of Louisville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Lowell, Ma.-N.H. M.S.A
(Includes part of Middlesex County.
Ma. and Hillsborough County. N.H.)
City of Lowell. Ma
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Lubbock, Tx. M.S.A
(Includes Lubbock County.)
City of Lubbock
Total area actually reporting
Rate per 100,000 inhabitants
Lynchburg, Va. M.S.A
(Includes Lynchburg and Bedford Cities
and Amherst, Bedford, and Campbell
Counties.)
City of Lynchburg
Total area actually reporting
Rate per 100,000 inhabitants
Macon, Ga. M.S.A
(Includes Bibb. Houston, Jones,
Peach, and Twiggs Counties.)
City of Macon
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Madison, Wi. M.S.A
(Includes Dane County.)
City of Madison
Total area actually reporting
Rate per 100,000 inhabitants
Manchester, N.H. M.S.A
(Includes part of Hillsborough,
Merrimack, and Rockingham Counties.)
City of Manchester
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Mansfield, Oh. M.S.A
(Includes Crawford and Richland
Counties.)
City of Mansfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
McAIIen-Edinburg-Mlsslon, Tx.
M.S.A
(Includes Hidalgo County.)
City of :
McAllen
Edinburg
Mission
Total area actually reporting
Rate per 100,000 inhabitants
Medford-Ashland, Or. M.S.A
(Includes Jackson County.)
City of:
Medford
Ashland
Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table
9,210,703
3.550.381
446,383
100.0%
985,963
276,307
90.2%
100.0%
281,215
203.288
67,729
100.0%
311,043
168,713
99.25 1
97.2%
100.0%
176,744
53.616
92.4%
100.0%
437,484
93.798
33.908
34.036
100.0%
159.991
51,416
17.209
100.0%
278.351
33.614
591.795
6,425.1
17,768
44,544
48,166
4,885.2
100.672
7.344
79.4%
11.071
100.0%
12.872
4.577.3
232,638
195.326
12.639
100.0%
14,629
6.288.3
3,845
6.702
3,296.8
111,722
13,275
99 9%
21.023
100.0%
21,038
6,763.7
379,961
198,638
9.619
100.0%
15,831
4,166.5
4,781
6,217
6.351
3,764.4
5,176
8,291
8.813
4,986.3
11.871
2,237
2,054
30,737
7,025.9
5,038
978
9,775
6.1097
73.102
6.324
137.999
1,498.2
2,776
6,689
6,972
707.1
1.780
2.028
2.226
791 6
1.349
1,547
665 0
585
862
424.0
961
1.616
1,617
519.9
624
1,063
279.8
1,339
1,452
1,487
841.3
732
172
75
2,734
624.9
305
26
789
493.2
205,249
27,290
453,796
4.926.8
14.992
37.855
41.194
4,178.0
5,564
9,043
10.646
3,785.7
11,290
13,082
5,623.3
3,260
5.840
2.872.8
12.314
19,407
19,421
6,243.8
8.995
14.768
3,886.7
219
4,562
262
5,955
266
6,085
157.7
3.606.7
3.837
6.839
7,326
4,145.0
11,139
2,065
1.979
28,003
6.400.9
4.733
952
8,986
5.616 6
845
80
1.669
18.1
52
78
80
8.1
20
26
11.2
7
14
6.9
31
39
39
12.5
45
10.3
7
4.4
1,554
167
3.188
34.6
142
303
322
32.7
94
105
37.3
139
155
66.6
20
50
24.6
96
133
133
42.8
80
110
29.0
30
32
33
19.6
61
68
72
40.7
105
24.0
32
9
77
48 1
30,817
3.425
56.116
609.2
1.307
1.791
1.844
187.0
325
355
385
136.9
324
330
141.9
127
153
75.3
445
602
602
193.5
310
356
93.7
136
145
146
865
148
176
187
105.8
167
47
10
479
109.5
56
9
86
53.8
39,886
2,652
77,026
836.3
1,275
4,517
4,726
479.3
1.364
1.569
1.725
613.4
866
1.036
445.3
431
645
317.3
389
842
843
271.0
230
590
155.3
51
83
85
50.4
1.130
1,205
1.225
693 1
533
117
62
2.105
481.2
214
619
386.9
43.535
6.486
104.011
1.129.2
4,403
9,358
9,928
1,006.9
1,451
2.354
2.710
963.7
2,499
2.834
1,218.2
662
1,328
653.3
2,304
3,833
3,835
1,232.9
1,537
2.348
618.0
1,068
1.333
1,355
803 1
1.139
1.842
1.917
1.084.6
1.987
480
484
7,696
1,759.2
704
140
1,494
933.8
110,791
13,646
236,758
2.570.5
8.138
24,399
26,877
2,726.0
2.557
4,430
5,448
1,937.3
7.926
9,326
2.392
4.169
2.050.8
9,051
14,244
14,255
4,583.0
6,571
11.225
2,954.3
3,080
4.116
4,210
2,495.4
2,498
4,686
5,059
2,862.3
8,207
1.442
1,340
17,779
4,063.9
3.771
782
6,948
4,342 7
50,923
7.158
113,027
1.227.1
2,451
4,098
4.389
445.1
1,556
2,259
2,488
884.7
865
922
396.3
206
343
168.7
959
1,330
1.331
427.9
887
1,195
314.5
414
506
520
308.2
200
311
350
198.0
945
143
155
2,528
577.8
258
30
544
340.0
93
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total i
Violent
crime2
Property
crime-1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
thefl
Motor
vehicle
theft
Melbourne-Tltusville-Palm Bay, Fl.
M.S.A
(Includes Brevard County.)
City of:
Melbourne
Titusville
Palm Bay
Total area actually reporting
Rate per 100,000 inhabitants
Memphis, In - Ar. -Ms M.S.A
(Includes Fayette, Shelby, and Tipton
Counties, Tn.; Crittenden County, Ar.;
and De Soto County, Ms.)
City of Memphis, Tn
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Merced, Ca. M.S.A
(Includes Merced County.)
City of Merced
Total area actually reporting
Rate per 100,000 inhabitants
Miami, Fl. M.S.A
(Includes Dade County.)
City of Miami
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Middlesex -Somerset-Hunterdon, N J.
M.S.A
(Includes Hunterdon, Middlesex, and
Somerset.)
Total area actually reporting
Rate per 100,000 inhabitants
Milwaukee- Waukesha, W|. M.S.A
(Includes Milwaukee, Ozaukee,
Washington, and Waukesha Counties.)
City of:
Milwaukee
Waukesha
Total area actually reporting
Rate per 100,000 inhabitants
Mlnneapolls-St Paul, Mn.-WI. M.S.A.
(Includes Anoka, Carver, Chisago,
Dakota, Hennepin, Isanti, Ramsey,
Scott, Sherburne, and Wright Counties,
Mn.. and Pierce and St. Croix Counties,
Wi.)
City of:
Minneapolis, Mn
St. Paul, Mn
Total area actually reporting
Rate per 100,000 inhabitants
Mobile, Al. M.S.A
(Includes Baldwin and Mobile
Counties.)
City of Mobile
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Modesto, Ca. M.S . A
(Includes Stanislaus County.)
City of Modesto
Total area actually reporting
Rate per 100,000 inhabitants
Monmouth-Ocean, N J. M.S.A
(Includes Monmouth and Ocean
Counties.)
Total area actually reporting
Rate per 100.000 inhabitants
Monroe, La. M.S.A
(Includes Ouachita Parish.)
City of Monroe
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.
94
440 J87
66,516
42,348
72.562
100.0*
1,063,599
628,737
60,226
100.0*
2,677416
370,834
274,210
100.0*
5II5.2A2
1,014.942
6.137
3.050
4,434
27,677
6,284.7
628,375
61,393
88.1%
76,403
100.0*
79.863
7,508.8
192,381
60.695
4,390
100.0*
10,642
5,531.7
2,078,552
379,980
65,269
894*
248.430
100 0*
266.872
12,839.3
1,057,960
100.0*
35.993
3.402.1
1,466,499
51.241
1.858
78.555
5,356.6
41.411
19.472
139,653
5.215.8
205,846
20,525
98.4*
33,187
100.0*
33,615
6.653.0
402,063
175,281
14,185
100.0*
30,748
7,647.6
100.0%
36,117
3.558.5
146,127
56,646
6,602
100.0%
9,857
6,745.5
784
499
474
3.459
785.4
9,855
11,521
11.861
1,115.2
302
1.042
541.6
12,971
37,735
39,788
1.914.2
2,612
246.9
6,562
100
7,610
518.9
7.074
2,730
13.294
496.5
2,297
4,173
4,228
836.8
1.593
3.970
987.4
2,636
259.7
915
1.200
821.2
5,353
2,551
3,960
24.218
5,499.3
51,538
64,882
68.002
6,393.6
4,088
9,600
4,990 1
52,298
210,695
227,084
10,925.1
33.381
3.155.2
44,679
1,758
70.945
4.837.7
34,337
16.742
126,359
4.7193
18,228
29.014
29.387
5.816.2
12.592
26,778
6.660.2
33.481
3.298.8
5,687
8,657
5,924.3
159
184
195
18 3
3
16
8.3
116
310
323
155
139
1
147
10 0
62
29
117
44
39
72
73
14.4
12
27
6.7
12
15
10.3
30
19
21
168
38.1
695
833
882
82.9
25
62
32.2
221
1,086
1.166
56.1
112
10.6
429
14
523
35.7
578
269
1.669
62.3
125
218
221
43.7
74
162
40.3
222
21.9
33
49
33.5
109
98
57
534
121.3
4,988
5,501
5,549
521.7
118
192
99.8
5.841
15.159
15,775
758.9
873
82.5
4,017
14
4,372
298.1
3,444
872
5,115
191.0
1,259
1.762
1,776
351.5
474
747
185.8
791
77.9
107
127
86.9
644
382
393
2,744
623.1
4,013
5.003
5,235
492.2
156
772
401.3
6.793
21,180
22,524
1.083.6
1,608
152.0
1.977
71
2,568
175.1
2.990
1.560
6,393
238.8
874
2.121
2,158
427.1
1,033
3,034
754.6
1,600
157.6
763
1.009
690.5
1.183
747
933
5.998
1.362.0
15,731
19,138
20,234
1,902.4
1,333
3,063
1.592.2
11.277
42,933
46.533
2,238.7
7.237
684 1
8.461
255
12,097
824.9
8,854
4,074
24.683
921.9
4,712
8,048
8,128
1,608.7
2,657
6,591
1,639.3
7.212
710.6
1.134
2,073
1.418.6
3,693
1,601
2.736
16.400
3,724.0
24.096
32,265
34,028
3,199.3
2,092
5,168
2.6863
30,645
127,261
138,031
6.640.7
22.589
2.135.1
25,532
1,400
46.518
3,172.0
21.279
10,642
90,530
3,381.1
11,787
18.575
18.841
3.729.0
8.219
16,562
4.119.3
24,540
2,417.9
4.343
6.224
4.259.3
477
203
291
1,820
413.3
11,711
13,479
13,740
1,291.8
663
1.369
711.6
10,376
40.501
42,520
2,045.7
3.555
H6II
10,686
103
12,330
8408
4.204
2.026
11.146
416.3
1,729
2,391
2.418
478.6
1.716
3.625
901 6
1.729
170 4
210
360
246.4
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime-
Property
crime1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Montgomery, Al. M.S.A
(Includes Autauga, Elmore, and
Montgomery Counties.)
City of Montgomery
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Myrtle Beach, S.C. M.S.A
(Includes Horry County.)
City of Myrtle Beach
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Naples, Fl. M.S.A
(Includes Collier County.)
City of Naples
Total area actually reporting
Rale per 100,000 inhabitants
Nashua, N.H. M.S.A
(Includes part of Hillsborough County.)
City of Nashua
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Nashville, Tn. M.S.A
(Includes Cheatham. Davidson.
Dickson. Robertson, Rutherford.
Sumner. Williamson, and Wilson
Counties.)
City of Nashville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Nassau-Suffolk, N.Y. M.S.A
(Includes Nassau and Suffolk Counties.)
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Newark, N J. M.S.A
(Includes Essex, Morns. Sussex, Union,
and Warren Counties.)
City of Newark
Total area actually reporting
Rate per 100.000 inhabitants
New Bedford, Ma. M.S.A
(Includes part of Bristol and Plymouth
Counties.)
City of New Bedford
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Newburgh, N.Y.-Pa. M.S.A
(Includes Orange County, N.Y. and Pike
County. Pa.)
City of Newburgh. N.Y.
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
New Haven-Meriden, Ct. M.S.A
(Includes part of Middlesex and New
Haven Counties.)
City of:
New Haven
Meriden
Total area actually reporting
Rate per 100.000 inhabitants
New London-Norwich, CI.-R.L M.S.A.
(Includes part of Middlesex and New
London Counties, Ct., and Washington
County, R.I.)
City of:
New London, Ct
Norwich. Ct
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of lable.
311,811
195.884
99.7%
100.0%
154,889
27,925
99.7%
100.0%
170,471
21.143
100.0%
162,090
81,293
98.6%
100.0%
1,053,971
1,944,136
271.025
100.0%
175,447
97.694
97.7%
100.0%
349,477
26.218
97.9%
100.0%
562,526
123,858
58,513
100 0%
301.044
24.326
36,379
100.0%
12,726
17.272
17,325
5,556.3
5,512
15.216
15,247
9.843.8
1.565
9,751
5,720.0
2,557
4,331
4,395
2,711.5
521,301
52.469
85.6%
67,528
100.0%
72.867
6,913.6
623,993
99.9%
86,243
100.0%
86,287
3,288.4
37,475
108.731
5.592.8
4.599
7,931
8,059
4,593.4
1,782
11,033
11,272
3,225.4
16.215
3.247
33.199
5.901 8
1.270
1.607
8,621
2.863.7
1.889
2.560
2.567
823.3
551
1.777
1.781
1.1499
154
1,261
739 7
86
153
155
95 6
9,375
11.320
11.936
1.132.5
6,518
6,522
248.6
10.409
20.093
1.033.5
1.026
1.735
1.751
998 0
429
1,429
1,451
415.2
2,648
190
3.421
608.1
145
197
796
264.4
10.837
14.712
14,758
4.733.0
4,961
13.439
13.466
8.694.0
1.411
8,490
4.980.3
2.471
4,178
4,240
2.615.8
43.094
56,208
60,931
5,781.1
79.725
79.765
3.039.8
27,066
88.638
4.559.2
3.573
6,196
6,308
3,595.4
1.353
9.604
9,821
2.810.2
13.567
3.057
29.778
5.293.6
1.125
1.410
7.825
2.599.3
41
45
45
14.4
3
19
19
12.3
4
4
2.5
96
155
8.0
42
7.5
70
102
102
32.7
31
109
109
70.4
100
58.7
30
67
68
42.0
508
676
726
689
170
170
6.5
207
598
30.8
50
57
58
33.1
16
74
75
21.5
102
5
149
26.5
4
44
108
35 9
630
719
721
231.2
158
335
336
216.9
48
294
172.5
25
34
34
21.0
2.652
2.848
2.935
278.5
2.897
2,898
110.4
5,775
11,012
566.4
240
281
283
161.3
206
362
369
105.6
1.150
105
1.484
263.8
58
37
142
47.2
1.148
1.694
1.699
544,9
359
1.314
1,317
850.3
102
854
501.0
29
48
49
30.2
6.142
7,709
8.181
776.2
3.356
3,359
128.0
4.331
8.328
428.4
733
1.392
1,405
800.8
203
980
994
284.4
1,364
77
1.746
310.4
80
115
539
179.0
3,129
4.241
4.251
1.363.3
1.136
3,085
3.090
1,995.0
325
2,767
1.623.1
354
668
678
418.3
8.342
11.302
12.487
1.184.8
15,578
15,585
593.9
6,438
20,037
1.030.6
1.187
1,937
1,963
1.118.9
559
2,174
2,211
632.7
2.961
772
6.220
1,105.7
174
347
1,710
568.0
6.512
9.076
9.109
2.921.3
3.538
9.449
9,470
6.114.1
1,005
5,043
2.958.3
1.847
3.155
3.200
1,974.2
28.779
38.185
41.343
3.922.6
51,750
51,780
1,973.3
11,163
46,023
2,367.3
1.707
3,323
3,392
1.933.3
718
6.997
7.158
2,048.2
7,439
2.011
18.638
3,313.3
830
972
5,586
1,855.5
1,196
1.395
1.398
448.3
287
905
906
584.9
81
680
3989
270
355
362
223.3
5.973
6,721
7.101
673.7
12.397
12,400
472.6
9,465
22,578
1,161.3
679
936
953
543.2
76
433
452
129.3
3.167
274
4.920
874.6
121
91
529
175.7
95
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime-
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
New Orleans, La. M.S.A
(Includes Jefferson, Orleans, ,
Plaquemines, St. Charles, St. James, St.
John the Baptist, and St. Tammany
Parishes.)
City of New Orleans
Total area actually reporting
Estimated total t
Rate per 100,000 inhabitants
New York, N.Y. M.S.A
(Includes Bronx, Kings, New York.
Putnam, Queens, Richmond, Rockland,
and Westchester Counties, N.Y.)
City of New York, N.Y.
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Norfolk- Virginia Beach-Newport News,
Va.-N.C. M.S.A
(Includes Gloucester. Isle of Wight,
James City, Mathews, and York
Counties; and Chesapeake, Hampton.
Newport News, Portsmouth, Poquoson,
Suffolk. Virginia Beach, and
Williamsburg Cities, Va.; and Currituck
County. N.C.)
City of :
Norfolk, Va
Virginia Beach, Va
Newport News, Va
Total area actually reporting
Rate per 100,000 inhabitants
Oakland. Ca. M.S.A
(Includes Alameda and Contra Costa
Counties.)
City of Oakland
Total area actually reporting
Rate per 100,000 inhabitants
Ocala, Fl. M.S.A
(Includes Manon County.)
City of Ocala
Total area actually reporting
Rate per 100,000 inhabitants
Odessa-Midland, Tx. M.S.A
(Includes Ector and Midland Counties)
City of:
Odessa
Midland
Total area actually reporting
Rate per 100.000 inhabitants
Oklahoma City, Ok. M.S.A
(Includes Canadian, Cleveland, Logan.
McClain. Oklahoma, and Pottawatomie
Counties.)
City of Oklahoma City
Total area actually reporting
Rate per 100.000 inhabitants
Olympia, Wa. M.S.A
(Includes Thurston County.)
City of Olympia
Total area actually reporting
Estimated tola]
Rate per 100,000 inhabitants
Omaha. Nb.-Ia. M.S.A
(Includes Cass. Douglas, Sarpy, and
Washington Counties. Nb., and
Pottawattamie County, la.)
City of Omaha. Nb
Total area actually reporting
Rale per 100,000 inhabitants
Orange County, Ca. M.S.A
(Includes Orange County.)
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table
1-313,919
493.990
94.9%
100%
8,593,681
7,336.224
99.9%
100.0%
1,533,889
260.038
427.471
181,666
100.0%
2,185,398
379.695
100.0%
215,232
45.448
100.0%
97.444
98.906
100.0%
999,772
665,704
49.842
102,281
105.660
8.041.6
530.120
571,156
571,372
6,648.7
19.854
21.228
11,120
86,489
5.638.5
40,373
154.427
7.066.3
6.892
13,554
6.297.4
6,963
5.026
14,126
5.814 1
461,271
55.374
100.0%
81.703
8,172.2
183,428
38,217
2,565
99.1%
8.677
100.0%
8,795
4,794.8
344,975
27.541
100.0%
37.750
5,670.7
2,527,871
100.0%
127,945
5.061.4
9,321
15.741
16.125
1.227.2
136,522
140.966
140.985
1.640.6
2.382
1,158
1,594
8.907
5807
8.330
22,671
1,037.4
821
2.319
1.077.4
608
482
1.232
507.1
6,471
8,460
846.2
123
471
477
260.0
3,930
4,781
718.2
14,002
553.9
40.521
86.540
89,535
6.814.3
393,598
430,190
430,387
5,008.2
17.472
20,070
9.526
77,582
5.057.9
32.043
131.756
6,028.9
6.071
11.235
5,219.9
6.355
4,544
12,894
5,307.0
48,903
73.243
7,326.0
2.442
8.206
8.318
4.5347
23,611
32.969
4.952.5
113.943
4.507.5
424
497
503
38.3
1.561
1.599
1.599
18.6
61
33
22
188
12.3
140
307
14.0
5
13
hi)
33
40
6.0
171
6.8
436
735
757
57.6
2.666
2.828
2.829
32.9
157
145
98
652
42.5
323
893
40.9
38
146
67.8
29
67
112
46.1
546
745
74.5
118
119
64.9
217
267
40 I
605
23.9
4.822
6.608
6.693
509.4
72.540
74,586
74.592
868.0
1.197
609
584
3,980
259.5
3.877
8,724
399.2
232
330
153.3
137
89
242
996
1.748
2,178
217.8
28
68
70
38.2
918
1,055
158 5
5,532
218.8
3,639
7,901
8,172
622.0
59,755
61,953
61,965
721.1
967
371
890
4.087
266.4
3.990
12,747
583.3
546
1,830
850.2
433
319
859
353.6
4.112
5.452
545.3
73
283
286
155.9
2.762
3,419
513.6
7.694
304.4
10,064
19,030
19,718
1,500.7
88,370
95.127
95.161
1.107.3
3.120
3,248
2,025
13.855
903.3
7,026
27,821
1,273.0
1,152
3.111
1,445.4
1.431
1.083
3,096
1,274.3
10,301
15.685
1,568.9
312
1.600
1,617
881.5
4.398
6.193
930 3
23.877
944.5
21,890
53.479
55,515
4,225.1
209,808
234,442
234.589
2.729.8
12.542
15,876
6.858
57,780
3,766.9
17,800
84.340
3,859.3
4.653
7,464
3,467.9
4.648
3,254
9,212
3.791.6
33,711
50,825
5.083.7
1.989
6.128
6.213
3.387.2
14.843
21.781
3.271 9
69.959
2.767.5
8.567
14.031
14.302
1,088.5
95,420
100.621
100,637
1,171.1
1.810
946
643
5.947
387.7
7,217
19,595
896.6
266
660
306.6
276
207
586
241 .2
4.891
6.733
673.5
141
478
488
2660
4,370
4.995
7503
20.107
795.4
96
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total1
Violent
crime2
Property
crime-1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson1
Orlando. Fl. M.S.A
1 ,350,150
(Includes Lake. Orange. Osceola, and
Seminole Counties.)
180,288
100.0%
21,836
102,992
4,109
15,215
17.727
87,777
17
82
144
704
1.095
3,550
2.853
10.879
3.975
22,974
11,631
56,059
2,121
8,744
Total area actually reporting
Rate per 100.000 inhabitants
7,628.2
1,126.9
6.501.3
6.1
52.1
262.9
805.8
1.701.6
4.152.1
647.6
90.538
{Includes Daviess County.)
54,403
100.0%
2,931
3,620
112
216
2.819
3.404
1
3
18
25
50
56
43
132
482
680
2,232
2,590
105
134
Total area actually reporting
Rate per 100,000 inhabitants
3.998.3
238.6
3.759.7
3.3
27.6
61.9
145.8
751.1
2,860.7
148.0
Panama City, Fl. M.S.A
138,672
(Includes Bay County.)
37,969
3,184
300
2.884
2
15
65
218
476
2,258
150
Total area actually reporting
100.0%
8,724
857
7,867
9
57
115
676
1,566
5,929
372
Rate per 100.000 inhabitants
6,291.1
618.0
5.673.1
6.5
41.1
829
487.5
1.129.3
4.275.6
268.3
Pensacola. Fl. M.S.A
373,971
(Includes Escambia and Santa Rosa
Counties.)
61,856
100.0%
5.176
23,190
846
3,949
4.330
19.241
8
28
33
201
169
700
636
3,020
1,120
5,640
2.964
12,575
246
1,026
Total area actually reporting
Rate per 100.000 inhabitants
6.201.0
1,056.0
5,145.1
7.5
53.7
187.2
807.5
1.508.1
3,362.6
274.4
Philadelphia. Pa.-NJ. M.S.A
4,974,831
(Includes Bucks, Chester, Delaware,
Montgomery, and Philadelphia Counties.
Pa., and Burlington, Camden,
Gloucester, and Salem Counties. N.J.)
City of Philadelphia, Pa
1,560.576
100.417
20.638
79.779
404
721
12.706
6,807
14,106
40,392
25.281
Total area actually reporting
99.2%
218.884
34,399
184,485
534
1.476
17.444
14,945
35,281
109.401
39,803
100.0%
220.003
4,422.3
34.506
693.6
185,497
3.728.7
535
10.8
1,482
29.8
17.471
351.2
15,018
301.9
35,436
712.3
110.148
2.214.1
39,913
802.3
Rate per 100.000 inhabitants
2,477,795
(Includes Mancopa and Pinal Counties.)
City of:
1,076,108
315,456
108.131
26.170
11,627
2,364
96.504
23,806
231
17
438
120
3.451
407
7,507
1,820
21,347
4,993
54,493
15,342
20,664
3,471
Mesa
Total area actually reporting
99.7%
204,790
18,987
185,803
308
832
4.892
12,955
40.998
112.147
32.658
100.0%
205,417
8,290.3
19,029
768.0
186,388
7,522.3
308
12.4
834
33.7
4,901
197.8
12,986
524.1
41.120
1.659.5
112.539
4,541.9
32,729
1,320.9
Rate per 100.000 inhabitants
Pine BlufT, Ar. M.S.A
87,357
(Includes Jefferson County)
City of Pine Bluff
59,095
4.888
1.109
3.779
18
61
318
712
1.631
1.749
399
Total area actually reporting
100.0%
5,585
1.182
4.403
21
73
329
759
1,870
2.080
453
Rate per 100,000 inhabitants
6,393.3
1,353.1
5.040.2
24.0
83.6
376.6
868.8
2,140.6
2,381.0
518.6
Pittsburgh, Pa. M.S.A
2.424,648
(Includes Allegheny, Beaver, Butler,
Fayette, and Westmoreland Counties.)
City of Pittsburgh
368,594
26.350
4.105
22.245
64
261
2.469
1.311
4.335
12.568
5,342
Total area actually reporting
95.2%
69.639
8,968
60.671
108
655
3.649
4,556
12.173
37,982
10,516
100.0%
72.753
3.000.6
9.265
382.1
63.488
2.618.4
110
4.5
673
27.8
3.723
153.5
4.759
196.3
12.604
519.8
40.061
1,652.2
10.823
446.4
Rate per 100.000 inhabitants
Pittsfield, Ma. M.S.A
98,989
(Includes part of Berkshire County.)
City of Pittsfield
47,480
1,621
177
1,444
1
32
144
442
872
130
Total area actually reporting
85.1%
2,199
252
1,947
4
34
214
586
1.205
156
100.0%
2.664
2.691.2
309
312.2
2.355
2.379.1
7
7 1
42
42.4
260
262.7
681
688.0
1.457
1.471.9
217
219.2
Rate per 100.000 inhabitants
Portland. Me. M.S.A
234,020
(Includes part of Cumberland and York
Counties.)
City of Portland
62,736
5.089
478
4.611
4
49
100
325
1,024
3.336
251
Total area actually reporting
100.0%
10.666
633
10.033
6
79
134
414
2.078
7.471
484
Rate per 100,000 inhabitants
4,557.7
270.5
4,287.2
2.6
33.8
57.3
176.9
888.0
3.192.5
206.8
Portland-Vancouver, Or.-Wa. M.S.A
1,669,863
(Includes Clackamas. Columbia,
Multnomah, and Yamhill Counties. Or,
and Clark County. Wa.)
City of:
Portland, Or.
463.072
54,715
8.808
45.907
50
400
2,344
6.014
8.001
28.363
9.543
51,502
99.7%
4,911
108,965
497
12.037
4,414
96.928
5
93
52
797
124
3,371
316
7.776
791
17.899
3,048
63.074
575
15,955
Total area actually reporting
Estimated total
100.0%
109,208
6,539.9
12.050
721.6
97,158
5.8183
93
5.6
798
47.8
3,375
202 1
7.784
466.1
17,937
1.074.2
63.242
3.787.3
15,979
956.9
Rate per 100.000 inhabitants
See footnotes at end of table.
97
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
cnme2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Providence-Fall River- Warwick, R.I.-
Ma. M.S.A
(Includes part of Bristol, Kent, Newport,
Providence, and Washington Counties,
R.I., and part of Bristol County, Ma.)
City of:
Providence, R.I
Fall River, Ma
Warwick, R.I
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Provo-Orem, Ut M.S.A
(Includes Utah County.)
City of:
Provo
Orem
Total area actually reporting
Rate per 100,000 inhabitants
Pueblo, Co. M.SJV
(Includes Pueblo County.)
City of Pueblo
Total area actually reporting
Rate per 100,000 inhabitants
Punta Gorda, Fl. M.S.A
(Includes Charlotte County.)
City of Punta Gorda
Total area actually reporting
Rate per 100,000 inhabitants
Racine, Wi. M.S.A
(Includes Racine County.)
City of Racine
Total area actually reporting
Rate per 100,000 inhabitants
Raleigh-Durham-Chapel Hill, N.C.
M.S.A
(Includes Chatham, Durham, Franklin,
Johnston, Orange, and Wake Counties.)
City of:
Raleigh
Durham
Chapel Hill
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Rapid City, S.D. M.S.A
(Includes Pennington County.)
City of Rapid City
Total area actually reporting
Rate per 100,000 inhabitants
Reading, Pa. M.S.A
(Includes Berks County.)
City of Reading
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Redding, Ca. \l\\
(Includes Shasta County.)
City of Redding
Total area actually reporting
Rate per 100,000 inhabitants
Reno, Nv. M.S.A
(Includes Washoe County.)
City of Reno
Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table.
954,457
158.720
91,794
85.803
97.9%
100.0%
289,785
1 3,680
4,427
3,891
38,994
39.641
4,153.3
96.078
3,337
73.155
3.303
100.0%
11,652
130,576
4,020.9
103.983
7.337
100.0%
8,400
6,433.0
123.408
11.946
411
100.0%
4,287
3.473.8
182,699
87.654
6.695
100.0%
9.373
5.130.3
228.090
16.522
145,749
15,550
44.693
2.734
99.9%
58.241
100.0%
58.250
6.198.7
86,572
58.100
4.196
100.0%
5,114
5,907.2
344,732
79.403
6,130
97.4%
11,212
100.0%
11,452
3,322.0
160,330
72,763
5.875
100.0%
9,048
5,643.4
292,859
152,553
10,950
100.0%
17,688
6,039.8
1,320
703
332
3.612
3.692
386.8
156
71
418
144.2
1.471
1,532
1.173 3
24
367
297.4
750
836
457.6
2,170
1,729
264
5,963
5,964
634.7
280
397
458.6
847
1,169
1.192
345.8
512
883
550.7
1.152
1.688
576.4
12.360
3,724
3,559
35,382
35,949
3,766.4
3.181
3,232
11.234
3.876.7
5.866
6.868
5.259.8
387
3.920
3.176.5
5.945
8,537
4.672.7
14.352
13.821
2,470
52,278
52.286
5,564 1
3.916
4,717
5.448.6
5.283
10,043
10,260
2.976.2
5,363
8,165
5,092.6
9,798
16.000
5,463.4
20
5
2
40
40
4.2
9
6.9
17
19
104
30
35
2
99
99
10.5
21
28
9.6
115
36
14
266
270
28.3
39
12
84
29.0
84
90
68.9
1
18
14 6
23
36
19.7
89
78
II
284
284
302
40
78
90 1
53
71
72
20.9
68
109
68.0
121
180
61 5
554
139
33
849
861
90.2
21
14
52
17.9
167
171
131.0
6
106
85.9
375
402
220.0
825
848
78
2,187
2,187
232.7
49
53
61.2
438
501
507
147.1
III
149
92.9
507
617
210.7
631
523
283
2,457
2,52!
264.1
95
44
280
96.6
1,212
1,262
966.5
17
242
196 I
335
379
207.4
1.226
768
173
3,393
3,394
361 2
189
263
303.8
349
587
603
174.9
327
613
382.3
503
863
294.7
3,606
1,020
435
8,643
8,775
919.4
472
404
1,740
6004
1,424
1,761
1,348.6
57
1,013
820.9
1.401
1,834
1,003.8
3,546
4,729
451
14.521
14.523
1,545.5
572
770
889.4
1.500
2,176
2,209
640.8
1,195
2.172
1.354.7
1.952
3.469
1.184.5
6,286
2,207
2,604
21,516
21,866
2,290.9
2,546
2,652
8.959
3,091.6
4.052
4,691
3,5925
318
2.673
2.166.0
3,968
5,970
3,267.7
9,791
7,918
1.918
34.385
34.391
3.659.7
3,184
3.732
4.310.9
3.280
7,091
7,251
2,103.4
3,698
5,224
3,258.3
7,109
11.295
3,856.8
2.468
497
520
5.223
5.308
556.1
163
176
535
184 6
390
416
318 6
12
234
189.6
576
733
401.2
1,015
1,174
101
3,372
3,372
358.8
160
215
248.3
503
776
800
232.1
470
769
479.6
737
1.236
422.0
98
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total1
Violent
crime'
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Rich land- Kenne wick- Pasco,
Wg. M.S.A
(Includes Benton and Franklin
Counties.)
City of:
Richland
Kennewick
Pasco
Total area actually reporting
Rale pet 100.000 inhabitants
Richmond -Petersburg, Va. M.S.A
(Includes Colonial Heights, Hopewell,
Petersburg, and Richmond Cities, and
Charles City, Chesterfield, Dinwiddie,
Goochland, Hanover, Henrico, New
Kent, Powhatan, and Prince George
Counties.)
City of:
Richmond
Petersburg
Total area actually reporting
Rate per 100,000 inhabitants
Riverside-San Bernardino, Ca. M s v .
(Includes Riverside and San Bernardino
Counties.)
City of:
Riverside
San Bernardino
Total area actually reporting
Rate per 100,000 inhabitants
Roanoke, Va. M.S. \
(Includes Roanoke and Salem Cities,
and Botetourt and Roanoke Counties.)
City of Roanoke
Total area actually reporting
Rate per 100,000 inhabitants
Rochester, Mn. M.S.A
(Includes Olmsted County.)
City of Rochester
Total area actually reporting
Rate per 100.000 inhabitants
Rochester, N.Y. M.S.A
(Includes Genesee, Livingston, Monroe,
Ontario, Orleans, and Wayne Counties.)
City of Rochester
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Rocky Mount, N.C. M.S.A
(Includes Edgecombe and Nash
Counties.)
City of Rocky Mount
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Sacramento, Ca. M.S. \
(Includes El Dorado, Placer, and
Sacramento Counties.)
City of Sacramento
Total area actually reporting
Rale per 100.000 inhabitants
St Cloud, Mn. M.S.A
(Includes Benton and Stearns Counties.)
City of St. Cloud
Total area actually reporting
Rate per 100,000 inhabitants
St. Joseph, Mo. M.S.A
(Includes Andrew and Buchanan
Counties.)
City of St. Joseph
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
See footnotes at end of table.
167.154
35.530
46,832
23,068
100.0%
918,198
207.261
41,101
100.0%
2,857,549
242.740
175.443
100.0%
231,869
141,896
52,121
99.6%
100.0%
1,443,165
73,133
95.5%
100.0%
1,348
3,521
1,837
8,575
5.130.0
21.939
2.985
51,644
5,624,5
22.340
21.142
202.617
7.090.6
99.144
6.026
100.0%
8,698
3,751.3
112,928
75,550
3,309
100.0%
3,867
3,424.3
1,084,785
234,938
22,585
99.7%
47,264
100.0%
47.374
4,367.1
5,967
9,581
9,619
6,778.9
389.458
40,218
100.0%
105.968
7,342.8
156,070
50.968
2,839
100.0%
4,662
2,987.1
5,083
5,484
5.704
5,725.5
46
1.302
218
3,303
199
1,638
647
7,928
87.1
4,742.9
3.534
490
5.483
597.1
3.949
4.079
28.829
1.008 9
509
683
294.6
163
199
176.2
2,712
3,825
3,834
353.4
659
987
990
697.7
4,698
12,077
836.8
169
243
155.7
275
359
376
377.4
18,405
2,495
46,161
5.027.3
18.391
17,063
173.788
6,081.7
5,517
8,015
3,456.7
3,146
3.668
3.248.1
19.873
43,439
43,540
4.013.7
5,308
8.594
8.629
6.081.2
35,520
93,891
6,505.9
2.670
4.419
2.831.4
4,808
5,125
5.328
5,348.1
160
10
209
37
71
412
14.4
4
11
4.7
62
71
71
6.5
16
16
11.3
62
141
9.8
101
60.4
169
25
348
37.9
134
163
1.156
40.5
44
61
26.3
33
47
41.6
145
258
258
23.8
28
43
43
30.3
174
579
40.1
55
87
55.7
24
28
29
29 1
15
41
49
112
67.0
1,586
210
2.248
244.8
1,220
1,538
8,167
285.8
209
236
101.8
1,668
1.979
1.982
182.7
260
343
344
242.4
2,292
4,343
3009
24
33
21.1
43
45
50
50.2
140
125
426
254,9
1,619
245
2,678
291.7
2.558
2,307
19.094
668.2
252
375
161.7
104
126
111.6
837
1.517
1,523
140.4
363
585
587
413.7
2,170
7,014
486.0
121
77.5
206
283
294
295.1
161
408
303
1.246
745.4
4,927
665
10,078
1,097.6
5.022
4,914
53.176
1.860.9
1.018
1,399
603.4
634
808
715.5
5.339
8.663
8,680
800.2
1,456
2.641
2,649
1 ,866.9
8,076
23,580
1.633.9
330
670
429.3
879
976
1.013
1,016.8
1.105
2,770
1.230
6,323
3.782.7
10,837
1,620
31,984
3,483.3
9.453
8,485
87.815
3.073.1
4,179
6,202
2,674.8
2.362
2,666
2.360.8
12,388
31,489
31.565
2,909.8
3,593
5.503
5,529
3.896.5
18.598
50.179
3,477.0
2,186
3,483
2.231.7
3,727
3.933
4,082
4,097.4
36
125
105
359
2148
2,641
210
4,099
446.4
3.916
3,664
32.797
1.147.7
320
414
178.5
150
194
171.8
2.146
3.287
3,295
303.7
259
450
451
317.8
8,846
20.132
1,395.0
154
266
170.4
202
216
233
233.9
99
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Salem, Or. M.S.A
(Includes Manon and Polk Counties.)
City of Salem
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Salinas, Ca. M s.,\
(Includes Monterey County.)
City of Salinas
Total area actually reporting
Rate per 100,000 inhabitants
Salt Lake City-Ogden, UL M.S.A
(Includes Davis, Salt Lake, and Weber
Counties.)
City of:
Salt Lake City
Ogden
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
San Angelo, Tx. M.S.A
(Includes Tom Green County.)
City of San Angelo
Total area actually reporting
Rate per 100,000 inhabitants
San Antonio, Tx. M.SA
(Includes Bexar, Comal. Guadalupe, and
Wilson Counties.)
City of San Antonio
Total area actually reporting
Rate per 100.000 inhabitants
San Diego, Ca. M.S.A
(Includes San Diego County.)
City of San Diego
Total area actually reporting
Rate per 100,000 inhabitants
San Francisco, Ca. M.S.A
(Includes Mann, San Francisco, and
San Mateo Counties.)
City of San Francisco
Total area actually reporting
Rate per 100,000 inhabitants
San Jose, Ca. M.S.A
(Includes Santa Clara County.)
City of San Jose
Total area actually reporting
Rate per 100.000 inhabitants
San Luis Obispo-Atascadero-Paso
Robles, Ca. M.S.A
(Includes San Luis Obispo County.)
City of:
San Luis Obispo
Atascadero
Paso Robles
Total area actually reporting
Rate per 100,000 inhabitants
Santa Barbara-Santa Maria -Lompoc,
Ca. M.S.A
(Includes Santa Barbara County.)
City of:
Santa Barbara
Santa Maria
Lompoc
Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table.
303,065
116.346
99.1%
100.0%
374,695
1 16,753
100.0%
1.188J95
1,432,770
999.900
100.0%
2,646,179
1,168,785
100.0%
1,654,296
741,568
100.0%
1,555.035
815,235
100.0%
224,378
41,924
24,262
17,447
100.0%
382,029
86,595
65,223
40,841
100.0%
11.383
21.649
21.806
7.195.2
7.804
18.158
4.846.1
174.827
18,992
69.783
6.043
99.3%
72,967
100.0%
73,379
6,174.6
103,004
89.482
5.012
100.0%
5.340
5.184.3
87.679
107,125
7,476.8
76.725
152.779
5.773.6
61.860
99.238
5.998.8
36.559
68.178
4,384.3
2.015
970
1,020
9,194
4.097.5
4,770
3,986
2.310
16.525
4.325.6
414
948
957
315.8
1.349
2,741
731.5
1,320
387
4,445
4,465
375.7
494
585
567.9
6.471
8.219
573.6
12.599
23.361
882.8
10,837
15.146
915.6
5.915
8.956
575.9
247
94
182
1,587
707.3
568
392
188
1,786
467.5
10,969
20,701
20.849
6.879.4
6,455
15,417
4,114.5
17,672
5.656
68,522
68,914
5.798.9
4,518
4.755
4.616.3
81.208
98.906
6,903.1
64,126
129,418
4,890.8
51.023
84,092
5.083.2
30.644
59.222
3.808.4
1.768
876
838
7,607
3,390.3
4.202
3,594
2,122
14,739
3.858.1
24
40
10.7
20
3
50
50
4.2
5
6
5.8
194
226
15.8
113
205
7.7
91
120
7.3
1
9
4.0
63
143
144
47.5
65
116
31.0
158
42
578
581
48.9
41
44
42.7
565
729
50.9
403
869
32.8
292
497
30.0
375
561
36.1
22
5
12
91
40.6
38
27
11
121
31.7
240
366
369
121.8
414
772
206.0
502
III
1,095
1.099
92.5
44
49
47.6
2,781
3,013
210.3
3.845
6.881
260.0
6.624
7.820
472.7
1,109
1.837
118.1
26
9
II
90
40.1
139
116
57
375
98.2
101
422
427
140.9
846
1,813
483.9
640
231
2.722
2.735
230.1
404
486
471.8
2.931
4,251
296.7
8.238
15.406
582.2
3,830
6,709
405.6
4,398
6,502
418 I
158
1.397
622.6
388
247
120
1.279
334.8
1.771
3,533
3,558
1.174.0
1,209
3.431
915.7
3.025
861
10.817
10,879
915.4
850
929
901.9
16.422
20,457
1.427.8
12.889
30.048
1.135.5
8,055
14,002
846.4
5,823
10,898
700.8
449
250
237
2,008
894.9
906
656
395
3.937
1.030.6
8,089
15,038
15.145
4,997,3
4,179
10,389
2,772.7
12.931
4,477
53.344
53,656
4,515.0
3.539
3.687
3.579.5
54.910
67.311
4.6980
35.204
70,610
2,668.4
33,719
57.239
3.460.0
20,300
41,286
2.655.0
1.216
571
534
5,148
2,294.3
3.031
2,714
1.648
10,024
2.623.9
1.109
2.130
2.146
708 1
1,067
1.597
426.2
1,716
318
4,361
4.379
368.5
129
139
134.9
9,876
11.138
777.4
16,033
28,760
1,086.9
9,249
12,851
776.8
4.521
7.038
452.6
103
55
67
451
201.0
265
224
79
778
203.6
100
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime*
Murder
and non-
negligeni
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
theft
Santa Cruz-Watsonville, Ca. M.S.A. . .
(Includes Santa Cruz County.)
City of:
Santa Cruz
Watsonville
Total area actually reporting
Rate per 100.000 inhabitants
Santa Rosa, Ca. M.S.A
(Includes Sonoma County.)
City of Santa Rosa
Total area actually reporting
Rate per 100.000 inhabitants
Sarasota- Braden ton, Fl. M.S.A ,
(Includes Manatee and Sarasota
Counties.)
City of:
Sarasota
Bradenton
Total area actually reporting
Rate per 100,000 inhabitants
Savannah, Ga. M.S.A
(Includes Bryan, Chatham, and
Effingham Counties.)
City of Savannah
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Seartle-Bellevue-Everert, Wa. M.S.A.. . .
(Includes Island, King, and Snohomish
Counties.)
City of:
Seattle
Bellevue
Everett
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Sharon. Pa. M.S.A
(Includes Mercer County.)
City of Sharon
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Sheboygan, Wi. M.S.A
(Includes Sheboygan County.)
City of Sheboygan
Total area actually reporting
Rate per 100.000 inhabitants
Sherman-Denison, Tx. M.S.A
(Includes Grayson County.)
City of:
Sherman
Denison
Total area actually reporting
Rate per 100.000 inhabitants
Sh re ve port- Bossier City, La. M.S.A. . . .
(Includes Bossier, Caddo, and Webster
Parishes.)
City of:
Shreveport
Bossier City
Total area actually reporting
Rate per 100.000 inhabitants
Sioux City, Ia.-Nb. M.S.A
(Includes Woodbury County. la., and
Dakota County. Nb.)
City of Sioux City. la
Total area actually reporting
Rale per 100.000 inhabitants
See footnotes at end of table.
49.681
4,738
31.620
2.754
100.0%
14,916
6,347.4
407.943
118,576
7.723
100.0*
20,719
5,078.9
516,156
52,694
46,267
100.0%
278,478
144,691
91.3%
100.0%
2.206,730
32,377
22.175
100.0%
377 ,375
198,298
53.318
100.0%
118,274
82.666
100.0%
6.046
4,754
34,711
6.724.9
12.450
18.417
19.588
7.033.9
540.268
57.905
88,956
5,169
78,045
6,831
99.9%
141.088
100.0%
141.182
6.397.8
122,653
17,478
663
97.2%
3,114
100.0%
3.207
2,614.7
106.906
51.093
2,568
100.0%
3.680
3,442.3
2,604
1.599
5.315
5.379.3
24.573
3,868
32.043
8.491.0
7.503
8,339
7,050.6
500
384
1.677
713.6
610
2.027
496.9
876
737
4.738
917.9
1.486
1.973
2.065
741.5
6.538
227
631
11.961
11.967
542.3
64
271
280
228.3
69
107
100.1
225
138
429
434.2
2.750
533
3,754
994.8
1.301
1.376
1,163.4
4,238
2.370
13,239
5,633.7
7,113
18,692
4,582.0
5,170
4.017
29.973
5.807.0
10.964
16.444
17.523
6.292.4
51.367
4.942
6.200
129.127
129.215
5,855.5
599
2.843
2.927
2,386.4
2.499
3.573
3,342.2
2.379
1.461
4.886
4.945.1
21,823
3.335
28.289
7.496.3
6.202
6.963
5.887.2
3
1
6
2.6
18
4.4
29
32
34
12.2
69
5
7
125
125
5.7
1
1
4
4.0
63
5
84
22.3
20
14
84
35.7
82
143
35.1
38
42
230
44.6
75
118
125
44.9
318
30
126
1.444
1.445
65.5
7
16
17
13.9
9
15
14.0
121
31
179
47.4
70
87
73.6
130
83
305
129.8
175
319
78.2
353
199
1.029
199.4
865
974
1.009
362.3
2.536
77
176
4.229
4.231
191 7
25
55
57
46 5
18
22
20.6
65
24
91
92 1
981
95
1.138
301.6
347
286
545.5
348
1.547
379.2
480
493
3,461
670.5
517
849
897
322.1
3,615
115
322
6,163
6.166
279.4
31
198
204
166.3
41
69
64.5
113
105
270
273.3
1.585
402
2.353
623.5
1,104
1.155
976.5
756
357
2.636
1,121.7
1.594
4.919
1. 2U5 s
1.321
1.213
7,954
1.541.0
2.164
3.178
3.411
1.224.9
8.186
611
1,097
22.302
22.315
1.011.2
137
520
533
434.6
306
461
431.2
410
307
1.098
1.111.3
5.003
584
6.502
1,723.0
1.223
1.418
1.198.9
3.294
1.839
9.923
4.222.6
4.882
12.267
3,007.0
3.578
2.453
20.186
3.910.8
7.396
11.446
12.159
4.366.2
36.758
4.082
4.603
92.963
93.030
4,215.7
429
2.136
2,198
1.792.0
2,141
3,019
2.824.0
1,851
1.087
3.551
3,593.9
14.836
2.608
19.488
5.164.1
4.638
5.159
4.361.9
188
174
680
289.4
637
1.506
3692
271
351
1.833
355.1
1,404
1.820
1,953
701.3
6,423
249
500
13,862
13.870
628.5
33
187
196
159.8
52
93
87.0
118
67
237
239.9
1,984
143
2.299
609.2
341
386
326.4
101
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
neghgenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Sioux Falls, S.D. M.S.A
(Includes Lincoln and Minnehaha
Counties.)
City of Sioux Falls
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
South Bend, In. M.S.A
{Includes St. Joseph County.)
City of South Bend
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Spokane, Wa. M.S.A
(Includes Spokane County.)
City of Spokane
Total area actually reporting
Rate per 100,000 inhabitants
Springfield, Mo. M.S.A
(Includes Christian. Greene, and
Webster Counties.)
City of Springfield
Total area actually reporting
Rate per 100,000 inhabitants
Springfield, Ma. M.S.A
(Includes part of Franklin, Hampden,
and Hampshire Counties.)
City of Springfield
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Stamford-Norwalk, Ct. M.S.A
(Includes part of Fairfield County.)
City of:
Stamford
Norwalk
Total area actually reporting ......
Rate per 100.000 inhabitants
State College, Pa. M.S.A
(Includes Centre County.)
City of State College
Total area actually reporting
Rale per 100.000 inhabitants
Stockton-Lodi, Ca. M.S.A
(Includes San Joaquin County.)
City of:
Stockton
Lodi
Total area actually reporting
Rate per 100.000 inhabitants
Sumter, S.C. M.S.A
(Includes Sumter County)
City of Sumter
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Syracuse, N.Y. M.S.A ,
(Includes Cayuga, Madison. Onondaga,
and Oswego Counues.)
City of Syracuse
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
See footnotes at end of table .
149,651
107,258
95.6%
100.0%
254,685
107,701
82.8%
100.0%
396.008
194,718
100.0%
280,235
147,875
100.0%
542,287
154,694
93.9%
100.0%
329,432
767,113
163,374
99.6%
100.0%
5.317
5,807
6,108
4,081.5
10.476
13,343
15,498
6.085.2
17.115
26.331
6.649 I
13,096
15.408
5,498.2
13.026
25.703
26,759
4.934.5
107.458
6.433
78.432
4.357
100.0%
13,735
4,169.3
127,196
50,596
1.385
100.0%
3,465
2.724.1
223,431
23.460
54.095
4,026
100.0%
41.838
8,158.2
107,137
43.179
3.273
99.3%
6,737
100.0%
6,782
6,330.2
10.643
26,750
26,857
3,501.0
487
509
546
3648
1.241
1.362
1,527
599.6
1.688
2,133
538.6
812
958
341 9
2.538
4.296
4.426
816.2
636
331
1.056
320.6
54
195
153.3
3.605
325
5,365
1.046.2
537
1.210
1.215
1.134.1
1,234
1.897
1.906
248.5
4.830
5,298
5.562
3,716.6
9,235
11.981
13.971
5.485.6
15,427
24.198
6.110.5
12.284
14.450
5.156 4
10,488
21.407
22.333
4.118.3
5,797
4.026
12.679
3.848.7
1,331
3,270
2.570.8
19,855
3,701
36,473
7,112.1
2,736
5.527
5,567
5,196.2
9.409
24.853
24,951
3,252.6
7
12
3.0
16
22
22
4 I
44
2
64
12.5
6
6
5.6
16
22
22
2.9
70
71
73
48.8
95
107
115
45.2
101
157
39.6
74
94
33.5
124
226
232
42.8
15
10
33
100
14
25
19.7
121
16
198
38.6
22
57
57
53.2
58
164
164
21.4
56
57
59
39.4
518
539
561
220.3
490
598
151.0
184
205
73.2
746
986
1.005
185 3
348
172
552
1676
13
30
23.6
1.433
60
1.807
352.4
206
295
296
276.3
582
746
749
97.6
358
377
410
274.0
609
696
830
325.9
1.090
1,366
344.9
551
653
233.0
1,652
3,062
3.167
584.0
267
143
458
139 0
27
138
108.5
2.007
247
3,296
642.7
307
852
856
799.0
578
965
971
126.6
874
1,017
1,091
729.0
2,500
3,131
3,360
1,319.3
3.142
4,926
1.243.9
2.369
2.923
1.043.1
2.911
5.441
5.656
1,043.0
1.078
757
2.286
693.9
191
508
399.4
4.561
649
8.778
1.711.7
859
1,957
1,964
1.833.2
2.945
5.924
5,941
774.5
3.742
4.048
4,233
2.828.6
5.986
7.984
9.585
3.763.5
11.381
17.821
4.500.2
9.317
10.771
3,843.6
3.996
10.597
11.169
2.059.6
4,005
2.7%
8.916
2,706.5
1.116
2,656
2.088.1
11.152
2,594
21.184
4.130.8
1.626
3,096
3,127
2.918.7
5.680
17.650
17,723
2,310.4
214
233
238
159 0
749
866
1,026
402.9
904
1,451
366.4
598
756
2698
3,581
5,369
5.508
1.015.7
714
473
1.477
448.3
24
106
833
4.142
458
6.511
1.269.6
251
474
476
444.3
784
1,279
1,287
167.8
102
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
theft
Tacoma, Wa. M.S.A
(Includes Pierce County )
City of Tacoma
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Tallahassee, Fl. M.S.A
(Includes Gadsden and Leon Counties.)
City of Tallahassee
Total area actually reporting
Rate per 100.000 inhabitants
Tampa-St. Petersburg-Clearwater, Fl.
M.S.A
(Includes Hernando. Hillsborough,
Pasco, and Pinellas Counties.)
City of:
Tampa
St. Petersburg
Clearwater
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Texarkana, Tx. -Texarkana, Ar. M.S.A. . .
(Includes Bowie County. Tx., and Miller
County, Ar.)
City of:
Texarkana, Tx
Texarkana, Ar.
Total area actually reporting
Rate per 100,000 inhabitants
Toledo. Oh. M.S.A
(Includes Fulton, Lucas, and Wood
Counties.)
City of Toledo
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Trenton, N J. M.S.A
(Includes Mercer County.)
City of Trenton
Total area actually reporting
Rate per 100.000 inhabitants
Tucson, Az. M.S.A
(Includes Pima County.)
City of Tucson
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Tulsa, Ok. M.S.A
(Includes Creek, Osage, Rogers, Tulsa,
and Wagoner Counties.)
City of Tulsa
Total area actually reporting
Rate per 100.000 inhabitants
Tuscaloosa, Al. M.S.A
(Includes Tuscaloosa County.)
City of Tuscaloosa
Total area actually reporting
Rale per 100,000 inhabitants
Tyler, Tx. M.S.A
(Includes Smith County.)
City of Tyler
Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table
644,453
191,042
22.408
99.5%
45.727
100.0%
45,965
7.132.4
253,823
134.901
17,363
100.0%
24,602
9.692.6
2,180.700
294.663
243.508
101.540
99.9%
100.0%
125.106
33.384
23.233
100.0%
619,803
743,928
51.510
23,973
7.999
173,365
173,450
7.953.9
2,966
2,709
7,298
5,833.5
331.744
30,290
98.8%
40.321
100.0%
40.605
6.551.3
331,199
88,748
6.977
100.0%
15.629
4.718.9
733,967
441,402
54,093
99.0%
73,139
100.0%
73.718
10,043.8
381.640
28.244
100.0%
39,600
5,323.1
156,637
80,272
9.959
100.0%
13,419
8,566.9
160,451
79,892
9,041
100.0%
12,120
7,553.7
3.522
5,941
5.954
923.9
2.350
3.453
1,360.4
10.262
5,490
1.148
26.993
27.002
1,238.2
377
264
832
665.0
3.664
4,125
4,144
6686
1.551
2.007
606.0
4.882
5,920
5.959
811 9
4,639
5.669
762.0
927
1,289
822.9
1.176
1,507
939.2
18,886
39.786
40,011
6.208.5
15.013
21,149
8,332.2
41,248
18,483
6,851
146,372
146,448
6,715.6
2,589
2,445
6,466
5,168.4
26.626
36,196
36.461
5.882.7
5,426
13,622
4,112.9
49,211
67.219
67,759
9,231.9
23.605
33.931
4,561.1
9.032
12.130
7,744.0
.7.865
10,613
6,614.5
33
64
64
9.9
62
23
4
139
139
6.4
6
4.8
37
56
56
7.6
7
16
10.2
18
23
14.3
204
442
444
68.9
114
175
68.9
298
213
48
1,144
1.144
52.5
29
65
52.0
356
414
416
67.1
86
137
41.4
289
401
403
54.9
296
373
50.1
65
77
49.2
119
161
100.3
1.004
1,445
1,449
224.8
740
958
377.4
3,378
1,509
235
6,964
6,967
319.5
116
96
234
187.0
1,735
1,843
1,849
298 3
650
790
238.5
1,012
1,226
1,235
168.3
1,071
1,195
160.6
260
312
199.2
256
294
183.2
2.281
3.990
3.997
620.2
1,487
2,302
906.9
6.524
3.745
861
18.746
18.752
8599
236
137
527
421.2
1,533
1,824
1,835
296.1
806
1.068
322.5
3.544
4,237
4,265
581.1
3,230
4,046
543.9
595
884
564.4
783
1,029
641.3
3.653
7.895
7.929
1,230.3
3.293
5,180
2.040.8
8,734
4.704
1.615
33.366
33,383
1.530.8
584
380
1.327
1.060.7
6,587
7.958
7,999
1,290.6
1,584
3.012
909.4
7,205
9,858
9,971
1,358.5
6,548
9,306
1,250.9
1,100
1,791
1,143.4
1,679
2,600
1.620.4
11,971
26,527
26.698
4,142.7
10.436
14,070
5.543.2
21.503
12,339
4.813
91.778
91,828
4,210.9
1.881
1,985
4.792
3,830.4
16.088
23,654
23.857
3,849.1
2,528
8.094
2.443.8
35.209
49.136
49.497
6.743.8
12.552
19.198
2.580.6
7.640
9,877
6,305.7
5,613
7,237
4,510.4
3,262
5,364
5,384
835.4
1,284
1,899
748.2
11,011
1,440
423
21,228
21,237
973.9
124
80
347
277.4
3.951
4.584
4,605
743.0
1,314
2.516
759.7
6,797
8,225
8,291
1.129.6
4.505
5.427
729.5
292
462
294.9
573
776
483.6
103
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
theft
Utica-Rome, N.Y. M.S.A
(Includes Herkimer and Oneida
Counties.)
City of:
Ulica
Rome
Total area actually reporting
Rate per 100,000 inhabitants
VaJlejo-Fairfleld-Napa, Ca. M.S.A
(Includes Napa and Solano Counties.)
City of:
Vallejo
Fairfield
Napa
Total area actually reporting
Rate per 100,000 inhabitants
Ventura, Ca. M.S.A
(Includes Ventura County.)
City of Ventura
Total area actually reporting
Rate per 100,000 inhabitants
Victoria, Tx. M.S.A
(Includes Victoria County.)
City of Victoria
Total area actually reporting
Rate per 100,000 inhabitants
Vineland-MMvllle-Bridgeton, NJ.
M.S.A
(Includes Cumberland County.)
City of:
Vineland
Millville
Bridgeton
Total area actually reporting
Rate per 100,000 inhabitants
Visaiia-Tulare-Porterville, Ca. M.S.A..
(Includes Tulare County.)
City of:
Visalia
Tulare
Porterville
Total area actually reporting
Rate per 100,000 inhabitants
Waco, Tx. M.S.A
(Includes McLennan County.)
City of Waco
Total area actually reporting
Rate per 100,000 inhabitants
Washington, D.C.-Md.-Va.-W.V.
M.S.A
(Includes District of Columbia, Calvert,
Charles, Frederick, Montgomery, and
Prince Georges Counties, Md.;
Alexandria, Fairfax, Falls Church,
Fredericksburg, Manassas, and
Manassas Park Cities, and Arlington,
Clarke, Culpeper, Fairfax, Fauquier,
King George, Loudoun, Prince William,
Spotsylvania, Stafford, and Warren
Counties, Va.; and Berkeley and
Jefferson Counties, W.V)
City of Washington, D.C
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Waterbury, Ct M.S.A
(Includes part of Litchfield and New
Haven Counties.)
City of Waterbury
Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table.
317,081
67,069
45,288
100.0%
483,338
55.250
26,562
19.372
100.0%
336,816
4,423,904
570,000
99.9%
100.0%
185,245
106,772
100.0%
3,193
1,050
9.270
2.923.5
115.675
9.488
83.617
6.052
64.379
3,403
100.0%
28.181
5,830.5
698.461
96.288
5,283
100.0%
25,944
3,714.5
80,067
59.642
4.668
100 0%
5.364
6,6994
4,194
1.868
1,857
8.861
6.330.3
82,733
6.894
37,067
1.750
31,313
2,239
100.0%
19.396
5.758.6
199,077
108,083
10,340
100.0%
13,931
6.997.8
63,144
238,081
238,136
5,382.9
8,694
10.666
5,7578
197
71
717
226.1
1.614
795
402
3,696
764.7
428
3,313
474.3
661
713
890.5
423
301
411
1.280
914.4
986
343
203
2,605
773.4
1.746
2.105
1,057.4
15.177
31,602
31,608
714.5
566
640
345.5
2,996
979
8,553
2,697.4
7,874
5,257
3,001
24,485
5.065.8
4,855
22,631
3,240.1
4.007
4.651
5.808.9
3.771
1.567
1,446
7,581
5,415.9
5.908
1.407
2,036
16,791
4.985.2
8,594
11.826
5,940.4
47,967
206.479
206,528
4,668.5
8.128
10.026
5.412.3
12
2
19
6.0
30
6
1
46
9.5
5
28
4.0
2
1
13
9.3
II
4
5
42
12.5
25
31
15.6
399
635
635
14.4
21
13
96
30.3
54
52
21
190
39.3
23
141
20.2
27
42
52.5
33
II
17
78
55.7
42
7
14
124
36.8
126
158
79.4
249
1,311
1,311
296
38
51
27.5
127
20
172
54.2
602
238
59
1.123
232.3
141
831
119.0
91
99
123.6
152
81
108
356
254.3
201
75
49
452
134.2
436
496
249.1
6,311
13.014
13.016
294.2
275
291
157.1
37
36
430
135.6
928
499
321
2,337
483.5
259
2,313
331.2
539
565
705.7
230
207
285
833
595 1
732
257
135
1,987
589.9
1.159
1,420
713.3
8,218
16.642
16.646
376.3
245
287
154.9
680
279
1.997
629.8
1,888
1,007
503
5.686
1,176.4
1,289
5.836
835.6
799
983
1,227.7
931
444
435
2.163
1.545.3
986
377
472
4,181
1,241.3
1.781
2,543
1.277.4
10,037
34.903
34,911
789.1
1,866
2,281
1,231.3
2.203
638
6.237
1,967 0
4,802
3,699
2,299
16,126
3,336.4
3.135
14,070
2,014.4
2,946
3,376
4,216.5
2,588
1.028
871
4,873
3,481.3
4,104
690
1.258
10,173
3.020.3
5.709
7.999
4,018.0
29.673
144,171
144,208
3,259.7
4.970
6,217
3.356.1
113
62
319
100.6
1.184
551
199
2.673
553.0
431
2,725
390 1
262
292
364.7
252
95
140
545
389.3
818
340
306
2,437
723.5
1.104
1.284
645.0
8,257
27,405
27.409
619 6
1.292
1.528
8249
104
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
Waterloo-Cedar Falls, la. M.S.A
(Includes Black Hawk County.)
City of:
Waterloo
Cedar Falls
Total area actually reporting
Rate per 100,000 inhabitants
Wausau, Wi. M.S.A
(Includes Marathon County.)
City of Wausau
Total area actually reporting
Rate per 100,000 inhabitants
West Palm Beach-Boca Raton, Fl.
M.S.A
(Includes Palm Beach County.)
City of:
West Palm Beach
Boca Raton
Total area actually reporting
Rate per 100,000 inhabitants
Wheeling, W.V.-Oh. M.S.A
(Includes Marshal! and Ohio Counties,
W.V, and Belmont County. Oh.)
City of Wheeling, W.V
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Wichita Falls, Tx. M.S.A
(Includes Archer and Wichita Counties.)
City of Wichita Falls
Total area actually reporting
Rate per 100.000 inhabitants
Williamsport, Pa. M.S.A
(Includes Lycoming County.)
City of Williamsport
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Wilmington, N.C. M.S.A
(Includes Brunswick and New Hanover
Counties.)
City of Wilmington
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Worcester, Ma.-Ct. M.S.A
(Includes part of Windham County. Ct.,
and Hampden and Worcester Counties,
Ma.)
City of Worcester. Ma
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Yakima, Wa. M.S.A
(Includes Yakima County.)
City of Yakima
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
York. Pa. M.S.A
(Includes York County.)
City of York
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Yuba City, Ca. M.S.A
(Includes Sutter and Yuba Counties.)
City of Yuba City
Total area actually reporting
Rale per 100,000 inhabitants
See footnotes at end of table.
126,554
67,746
4,547
35.418
1.040
100.0%
6.210
4.907.0
139,574
38.728
1.756
100.0%
3,781
2.709.0
932,024
70,083
66,580
100,0%
159,354
34,458
95.0%
100.0%
133,112
98.751
100.0%
121.029
32,479
93.7%
100.0%
188.471
61,522
99.6%
100.0%
473,028
164,722
96.2%
100.0%
205.715
60.720
98.0%
100.0%
351.574
43.506
97.6%
100.0%
132,589
30,939
100.0%
12,129
3,323
82,881
8,892.6
1,333
3,140
3,448
2.163.7
8,559
9.455
7,103.0
2,149
3,818
4,021
3,322.3
6.881
13.314
13,370
7,093.9
11,426
18,261
18,825
3,979.7
7,140
15.681
15,978
7,767.1
3,075
10,330
10,553
3,001.6
2,968
8,824
6.655 2
366
4,181
62
978
469
5,741
370.6
4,536.4
42
1,714
127
3,654
91.0
2.618.0
1.494
195
10,320
1,107.3
201
301
321
201.4
968
1.049
788.1
172
266
285
235.5
672
1.234
1,239
657.4
1,697
2,938
3.007
635.7
739
1.235
1.252
608.6
367
681
702
199.7
219
1,437
1,083.8
10.635
3,128
72,561
7,785 3
1,132
2.839
3,127
1,962.3
7,591
8,406
6,315.0
1,977
3.552
3.736
3.086.9
6,209
12,080
12.131
6,436.5
9,729
15,323
15.818
3,344.0
6,401
14,446
14,726
7,158.4
2.708
9.649
9.851
2,802.0
2.749
7,387
5,571.4
29
1
93
10.0
3
5
5
4.1
38
10
58
45.8
7
5.3
58
19
451
48.4
18
42
44
27.6
91
95
71 4
32
60
60
31.8
68
116
119
25.2
55
138
141
68.5
18
67
50.5
108
7
115
90.9
821
72
2.993
321.1
43
56
62
38.9
196
202
151.8
87
106
111
91 7
233
282
283
150.2
668
746
756
159.8
156
239
244
118.6
214
285
290
82.5
44
117
218
45
294
232.3
33
113
81.0
586
103
6.783
727.8
139
199
211
132.4
673
742
557.4
71
131
144
119.0
405
877
881
467.4
948
2,058
2,114
446.9
519
841
850
413.2
110
311
326
92.7
157
1,246
939.7
1,139
78
1,396
.103.1
218
495
354.7
2.586
671
18.278
1.961.1
282
747
791
496.4
1.250
1,485
1.115.6
346
707
735
607.3
1,605
3,348
3,360
1,782.8
3,234
4,766
4,881
1,031.9
1,283
3,481
3,523
1,712.6
447
1,463
1,494
424.9
573
2,093
1.578.6
2,824
853
4,068
3,214.4
1,413
2,997
2.147.2
6,500
2,103
45.686
4,901.8
764
1,896
2,117
1,328.5
5,911
6.456
4.850. 1
1,548
2,695
2,831
2,339.1
4,196
8,001
8,038
4,264.8
5.108
8,777
9,083
1,920.2
4.692
10,002
10,215
4,965.6
2.075
7,693
7.842
2.230.5
1.994
4,691
3,538.0
218
47
277
218.9
83
162
116.1
1,549
354
8.597
922.4
86
196
219
137.4
430
465
349.3
83
150
170
140.5
408
731
733
3889
1,387
1.780
1.854
391.9
426
963
988
480.3
186
493
515
146.5
182
603
454.8
105
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1994 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime2
Property
cnme3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson '
San Juan, Puerto Rico M.S.A.4 .
73.220
18.081
55,139
747
213
13.937
3.184
17,004
24,066
14.069
Total area actually reporting .
100.0%
Aguadilla, Puerto Rico M.S.A.4 .
4,071
513
3,558
12
20
208
273
1,255
2,058
245
Total area actually reporting .
100.0%
Areclbo, Puerto Rico M.S.A.4. . .
4,252
612
3.640
11
10
346
245
1,534
1.667
439
Total area actually reporting .
100.0%
Caguas, Puerto Rico M.S.A.4 . . .
8,551
1.860
6.691
80
35
1.263
482
2,830
2.768
1.093
Total area actually reporting .
100.0%
Mayaguez, Puerto Rico M.S.A.4.
5,693
697
4.996
22
19
280
376
1,810
2.882
304
Total area actually reporting .
100.0%
Ponce, Puerto Rico M.S.A.4
7,672
1.388
6.284
45
27
804
512
2,045
3,670
569
Total area actually reporting .
100.0%
'Although arson data are incl
ided in
the trend and
clearance tables, sufficient data are not available to estimate totals for this offense. Arson data for individual cities
are shown
in Table 8.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault,
'Property crimes are offenses of burglary, larceny -theft, and motor vehicle theft. Data are not included for the property crime of arson.
4The 1994 Bureau of the Census population estimates for the individual Puerto Rico M.S.A 's were not available prior to publication; therefore, no population or rales per 100,000 inhabitants are
provided.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
106
Table 7.— Offense Analysis, United States, 1990-1994
Classification
1990
Murder
Forcible Rape
Robbery :
Total
Streeiyhighway
Commercial house
Gas or service station
Convenience store
Residence
Bank
Miscellaneous
Burglary;
Total
Residence (dwelling):
Night
Day
Unknown
Nonresidence (store, office, etc.):
Night
Day
Unknown
Larceny-theft (except motor vehicle theft)
Total
By type:
Pocket-picking
Purse-snatching
Shoplifting
From motor vehicles (except accessories)
Motor vehicle accessories
Bicycles
From buildings
From coin-operated machines
All others
By value:
Over $200
$50 to $200
Under $50
Motor Vehicle Theft
Because of rounding, offenses may not add to totals
23.440
102.550
639.270
360.861
72.589
17,394
38.643
61,733
9,345
78.705
3.073.900
2,034,865
648,856
889,874
496.135
1.039.035
491,356
262,067
285.612
7.945.700
81.027
82.875
1.291.492
1,746,830
1.183,567
442.214
1.116,898
62,993
1.937,803
2,840,662
1.893,021
3.212.017
1.635,900
24,700
106,590
687.730
386.948
81,485
16,992
37.871
67,640
10,930
85,863
3,157,200
2.089,148
660,458
903,885
524,805
1.068.052
503,850
257,627
306,575
8.142,200
86,239
84,135
1,337,681
1,836,654
1,152.401
465.182
1,168.237
81,186
1,930,484
2,910,299
1.930,796
3,301,105
1.661,700
23,760
109.060
672.480
374,157
79,717
16,752
35,312
67.619
11.121
87.802
2.979.900
1,972,919
629,462
863,812
479,645
1.006.981
469.929
258,914
278,138
7,915,200
78,194
74,858
1,253,766
1,792,386
1,107,131
468,584
1.106,809
72.087
1.961.384
2.844.553
1.874.226
3,196.421
1,610,800
24,530
106,010
659,870
360.799
82.385
15.391
34.817
67.914
11.856
86.708
2.834.800
1.883.907
591,404
827.731
464,772
950,893
440.653
242.340
267.900
7.820.900
72,775
68,447
1,200,910
1,827,643
1 .090,850
478,485
1.028,997
61,686
1.991.106
2.865,453
1.829.138
3.126.309
1.563.100
23,310
102,100
618,820
337,687
76,114
13,433
31.824
67.375
8,959
83.429
2,712,200
1.813,771
556,524
805,814
451.433
898.429
400,767
242,704
254.958
7.876.300
63.688
60.449
1,177,699
1.864.985
1.013,764
496.416
1.026.505
53.124
2.119.670
2.945,679
1,845,046
3.085.575
1.539,100
107
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994
•Arson is shown only if 12 months of arson data were received. Leaders (..) indicate zero data. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
City by State
Population
ALABAMA
Alabaster
Albertville
Alexander City
Anniston
Athens
Auburn
Bessemer
Birmingham
Cullman
Daphne
Decatur
Dothan
Enterprise
Eufaula
Fairfield
Florence
Fort Payne
Gadsden
Hanselle
Homewood
Hoover
Hueytown
Huntsvilie
Jacksonville
Jasper
Madison
Mobile
Montgomery
Mountain Brook
Northport
Opehka
Ozark
Pelham
Phenix City
Prattville
Prichard
Saraland
Scottsboro
Selma
Sheffield
Sylacauga
Talladega
Troy
Tuscaloosa
Tuskegee
Veslavia Hills
ALASKA
Anchorage
Fairbanks
Juneau
ARIZONA
Apache Junction
Avondale
16,380
15,941
15,334
27,645
18.114
35,930
33,550
270,978
14,928
12,926
51,430
55,858
21,076
13,497
12.496
37,589
12.713
44,671
11,305
23,800
43.168
16,078
166.514
10,655
13.795
17.894
205.846
195.884
20,520
19,005
23.815
12,976
11.279
27.068
22.156
34.467
12.206
14.602
24.834
10.843
13,341
19,440
13,714
80,272
12,130
20,590
253,667
34,237
29,231
20,849
17,223
Crime
Index
total
120
212
1,057
4,137
688
2,030
4,004
33,037
613
608
4,545
2.086
1.135
682
1.793
1,974
237
4.666
271
1,633
1.660
580
15.621
385
1.046
592
20.525
12.726
592
1,021
2,194
1.021
260
494
1,345
4.337
719
577
3,745
645
973
1,132
277
9,959
1,127
18,662
2,068
879
1.392
1.572
Modified*
Cnme
Index
total
4.032
33,288
1,660
15,664
1.048
20.568
12.785
1,025
1,025
262
18.806
2.069
879
1.405
1.593
Murder
and non-
negligent
man-
slaughter
II
135
2
Forcible
rape
51
4
10
27
273
4
1
5
125
70
44
198
21
Robbery
7
3
32
109
5
14
199
1.980
4
71
61
21
7
108
28
1
127
6
57
18
382
2
20
1.259
630
6
20
61
15
6
4
38
357
14
8
157
5
13
19
7
260
34
729
65
Aggra-
vated
assault
15
26
137
570
58
70
555
4,237
40
16
144
134
142
9
117
137
2
580
6
28
20
54
1.314
14
153
29
874
1.148
6
73
433
212
14
75
139
579
9
20
588
37
76
51
31
595
118
1.529
146
6
84
101
Burglary
18
41
138
1,043
104
391
1,033
6,483
66
110
824
403
239
95
316
371
40
910
36
184
222
107
2.710
55
144
82
4,712
3,129
90
165
448
109
14
60
228
1.238
102
101
733
110
204
209
74
1,100
507
2,276
258
43
302
440
Larceny-
theft
72
106
719
2,145
480
1.469
1,749
16.285
460
457
3,235
1,380
677
559
1,027
1.381
177
2,679
208
1.179
1.216
342
10.114
297
647
437
11,787
6,512
421
726
1. 181
653
214
300
885
1,763
576
431
2,097
469
650
815
149
7,640
434
209
11,717
1,362
804
Motor
vehicle
theft
7
35
20
209
37
76
430
3.644
37
16
232
103
46
8
214
47
17
322
13
149
133
56
995
17
74
30
1.729
1.196
25
35
58
23
12
50
43
344
15
13
130
19
25
28
9
292
24
2.191
212
26
103
137
108
Table 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
A R1ZONA— Continued
26.351
21.218
106.525
51,184
39.247
166,068
15,342
29.832
315,456
20,800
13,160
59.506
1.076.108
29.940
11.439
145.710
37.723
151.152
441,402
10,241
20,584
12,540
21,439
10.021
14,543
30.920
24.425
47,205
13.633
75.770
10.495
10,212
34.481
31.399
49.814
181,157
11,781
63,862
20,251
59.095
28.000
22.592
16.946
20,578
33.588
10.747
23,233
16,280
28,516
12.273
23.036
80,309
16,752
2,498
3,465
6,878
5.195
2,063
14,360
2,170
1,662
26,170
1.613
583
2.840
108,131
2.135
824
9.295
1.286
13.861
54.093
300
1,222
536
2,469
264
901
2.149
1.867
2.389
1,504
5.817
260
739
3.615
1,974
3.429
26.741
373
7.183
687
4.888
1.480
1.533
880
839
1,369
841
2.709
804
3.238
600
588
4,870
757
2,507
3,478
6,950
5,204
2,078
14,475
2.180
1.668
26,275
1,622
583
2.866
108.412
2.148
833
9.327
1,292
13.940
54.221
300
1.226
536
2.510
264
910
2.155
1,876
2,393
1,513
5.830
260
741
3.644
1.981
3,438
26.902
374
7.203
687
4.943
1,485
1,535
880
839
1,369
843
2.718
804
3.244
605
592
4,924
771
5
3
6
2
1
3
2
3
17
3
:
231
3
4
2
9
37
3
6
4
9
12
27
19
4
46
4
11
120
45
53
81
50
II
274
16
II
407
100
3
33
3,451
23
6
138
17
262
1,012
3
8
1
99
32
26
50
15
37
73
1
18
92
35
98
1.041
10
347
5
318
11
16
6
10
10
14
96
2
257
22
12
238
45
190
268
180
222
127
926
127
66
1.820
105
7
141
7,507
83
23
257
25
611
3.544
8
72
12
283
9
76
64
86
80
184
334
7
42
125
169
216
4,064
31
285
10
712
46
73
8
26
42
163
137
6
190
147
82
204
54
611
552
1,472
561
516
2,413
420
292
4.993
426
335
680
21,347
347
182
1,878
177
2.439
7.205
17
182
70
596
46
166
264
469
340
271
848
26
190
795
349
827
5,767
107
1,465
141
1.631
195
303
59
107
224
149
380
142
717
170
119
656
134
1,421
2,399
4.425
4,178
1,193
8,204
1,505
1,205
15,342
772
193
1.704
54.493
1370
561
5,684
942
8.662
35.209
257
883
450
1.336
197
570
1,721
1,158
1,771
893
4,118
189
457
2,378
1,297
2,033
13.869
203
4.337
478
1.749
1.169
1.071
763
635
977
479
1,985
611
1,490
179
297
3.276
407
217
178
687
163
211
2,494
96
74
3.471
207
45
275
20.664
94
46
1,306
116
1.826
6,797
15
62
3
139
12
42
63
88
151
105
373
36
20
188
109
221
1.753
16
652
46
399
48
57
41
57
105
34
80
39
541
77
77
469
115
9
13
72
9
Gilbert
15
115
10
6
105
9
Paradise Valley
5
438
15
6
28
7
52
289
26
281
13
9
32
6
79
128
ARKANSAS
12
4
10
11
11
13
27
8
61
1
10
29
15
32
191
5
78
7
61
11
12
3
4
11
29
2
36
4
1
27
2
41
9
6
3
5
6
10
2
8
9
4
9
13
2
29
7
2
56
1
19
18
9
161
1
20
Pine Bluff
55
5
1
2
2
2
2
7
1
2
9
6
CALIFORNIA
5
4
54
Albany
14
1
109
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
84.657
278.918
70.304
52.447
49.988
15.303
15.058
15.762
24,262
24,082
11.216
11.862
42,979
191,246
72.278
22.694
22,511
10.581
35,527
43,390
65,621
25.032
26.620
102.876
32.663
21.733
34.118
72.166
97.996
27.707
75.187
22.536
55.762
37.392
10.066
65.476
13.852
88.624
34,152
29.240
54,455
41.411
64,313
28,535
147,262
33,742
12.613
55.984
18,194
43,791
12.372
97.266
1 14.642
14.118
87.837
26,504
3.679
18.282
4,139
2.829
2.182
1.181
605
1,001
970
1,459
498
314
2.085
15,746
2.438
1.351
1.902
966
1,077
2,181
4,662
718
991
11,272
2.694
1,295
2,350
4,500
4.641
1.265
634
2,101
1.154
1.833
1.243
3.467
406
4.522
2.133
2.263
4.182
3.220
4,131
1,535
10,314
1,699
1.661
3.270
1.254
3.383
1.980
6.636
8.452
440
5.874
1.018
3.719
18.348
4,241
2,848
2,192
1,186
612
1.013
988
1.470
501
319
2.093
15.871
2,459
1.381
1.911
971
1.089
2.191
4.674
720
1.002
11.342
2,703
1.300
2,362
4.529
4,662
1,270
639
2,126
1.172
1.872
1.244
3.482
413
4,562
2.137
2.273
4.210
3,288
4,210
1,552
10,373
1.704
1.675
3,299
1,257
3.402
1.984
6,658
8,478
443
5,887
1,020
25
90
20
20
5
5
3
5
5
5
3
2
20
59
10
16
5
5
II
12
25
3
5
36
7
1
7
16
21
2
1
2
12
16
2
22
4
13
14
8
14
23
18
4
53
5
7
15
4
23
9
62
45
7
21
3
J
310
1.133
147
82
90
8
8
102
9
21
3
5
91
573
192
64
60
20
178
208
333
14
16
745
189
33
41
176
189
17
21
60
25
49
9
98
7
318
67
38
249
58
128
27
449
51
21
68
41
138
143
881
193
7
237
17
136
1.397
402
189
81
41
82
156
80
139
48
33
146
1.283
227
183
109
117
132
226
740
27
22
605
75
146
75
249
240
85
70
142
72
69
77
267
67
785
294
135
255
176
615
62
719
78
300
130
130
189
175
1,003
423
69
383
27
791
3,279
1.048
791
415
184
109
166
250
423
6?
136
520
3.199
1.029
410
440
283
187
589
907
85
225
1.740
454
394
358
790
496
151
143
430
182
287
75
816
131
810
618
367
825
584
708
388
1,739
302
595
683
310
912
248
1.401
1.534
127
1.526
184
1.774
8.930
2.032
1.420
1.224
871
369
382
571
709
349
119
938
8.653
286
472
1.121
434
295
587
1.558
534
626
6.998
1.746
642
1,567
2,261
2.669
889
330
1.074
748
1,244
1.041
1.822
176
1.645
850
1.421
1,906
2,173
1,944
866
4,807
1.077
675
2,043
617
1.391
824
1.671
5.187
193
2,626
649
643
3.429
482
325
366
72
34
189
55
161
33
18
368
1,944
687
195
161
104
270
552
1,093
55
96
1,140
220
79
301
1,005
1,021
121
68
391
115
168
39
439
20
934
287
294
932
206
713
185
2,540
185
62
329
151
722
571
1,537
1.066
36
1.077
138
40
24
8
2
1
66
102
19
10
5
7
1
12
18
1
II
3
1
2
35
7
11
6
3
4
7
6
1
8
3
1
3
5
5
8
125
21
30
9
5
Bell
12
10
12
2
11
70
9
5
12
29
21
5
1
2
5
25
18
39
1
3
1
17
3
15
7
40
4
10
1
28
68
5
3
7
1
1
2
1
8
10
81
4
1
4
79
17
59
5
14
29
3
19
4
22
26
3
13
2
1
110
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CALIFORNIA— Continued
Costa Mesa
Covina
Cudahy
Culver City
Cupertino
Cypress
Daly City
Dana Point
Danville
Davis
Delano
Desert Hot Spnngs
Diamond Bar
Dinuba
Dixon
Downey
Duarte
Dublin
East Palo Alto
El Cajon
El Centro
El Cerrito
El Monte
El Segundo
Escondido
Eureka
Fairfield
Fillmore
Folsom
Fontana
Foster City
Fountain Valley
Fremont
Fresno
Fullerton
Gall
Gardena
Garden Grove
Gilroy
Glendale
Glendora
Grand Terrace
Grover City
Hanford
Hawaiian Gardens
Hawthorne
Hayward
Hercules
Hermosa Beach
Hesperia
Highland
Hillsborough
Hollister
Huntington Beach
Hunungton Park
Inglewood
97.909
45.668
23,677
39,674
42.446
45.363
94,977
37.361
35.534
48.009
24.807
13.840
56.885
14.139
11.264
96,902
21.879
25.631
24,380
94,087
36.775
23.221
108.789
15,955
115,123
28,237
83.617
12.522
36.289
100.344
29.563
54,979
182,410
382.655
117.479
10.879
52.132
148.404
32.938
180.753
50,527
11.882
12,133
33.131
13,765
76,205
117,187
19,096
18.692
58.066
38.894
11.016
20,590
188,265
56.411
113,430
6.767
2.661
924
2.421
1,550
2.120
3,134
1.331
727
3.556
2.230
1,863
1.710
794
843
4.537
837
812
1.762
7.246
2.999
1,780
5.735
1.103
8.225
4.377
6.052
327
1.155
6.334
692
2.897
8.546
46.076
7.280
757
3.415
8,215
2,069
7,352
1.853
604
478
2.138
1.106
6.309
9.086
517
1.004
3.013
2,495
84
1.124
8,196
3,750
7,177
6.778
2,688
930
2,421
1,569
2.129
3.148
1.339
736
3.570
2.230
1.882
1.718
798
848
4.585
839
813
1,782
7,303
3,034
1,792
5,864
1,109
8.279
4,403
6,088
328
1.155
6,366
694
2.909
8.610
46.961
7.299
765
3,439
8,265
2.116
7,403
1.860
605
486
2,149
1.119
6.386
9,155
520
1.012
3.026
2.510
84
1.134
8.234
3.768
7.255
9
1
1
40
9
3
14
42
9
4
23
4
34
21
52
2
3
67
1
12
42
192
38
3
31
41
9
15
6
2
7
12
3
37
64
2
7
11
191
116
76
229
47
69
206
32
7
22
48
49
88
9
12
401
36
14
190
206
90
154
603
41
218
54
238
5
14
422
9
81
192
2.810
218
16
486
397
50
333
56
17
5
42
130
791
352
15
40
58
163
19
169
461
210
108
292
64
61
63
141
134
14
42
110
183
179
69
39
165
122
51
457
648
166
51
698
17
674
170
499
39
49
864
46
78
915
3.113
281
52
334
577
293
325
94
14
65
267
199
879
1.068
48
47
153
198
10
234
438
144
1.179
543
111
302
262
368
305
333
143
333
509
736
368
211
176
840
196
116
277
1,291
1,045
300
1,352
155
1,551
917
1.007
110
215
1.467
363
1.731
7.659
1,202
144
655
1,489
336
1,133
436
121
138
286
242
1,068
1,362
112
208
902
711
16
194
1,788
477
1.230
4,281
1.382
232
1.377
1.068
1,299
1.900
720
534
2.948
1.226
756
679
401
579
1.883
343
561
687
4,178
1,420
1.072
1,957
672
4.682
2.802
3.699
153
781
1.944
500
1.941
4.717
18.640
4,344
427
1,104
4.170
1,229
4,316
1,068
298
245
1,207
345
2,314
4.877
262
556
1.426
1.046
58
612
4,634
1.203
1.936
867
492
207
442
98
307
574
102
27
202
318
128
386
102
36
1.199
131
66
130
878
267
198
1.086
213
1,057
411
551
18
93
1,551
48
421
943
13.578
1.191
115
791
1.534
152
1,225
190
152
18
322
187
1,199
1.351
78
146
461
359
61
1,123
1.450
2.043
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
121.460
20.683
24,396
23,980
48,303
50.848
53,003
20,723
57,950
77,464
54,497
44,221
107.979
15.959
38,815
14.444
32.437
29.036
14,704
61,086
54,095
18.784
20,400
40,841
446.383
12,127
27,422
3.550,381
16.083
28,660
64,312
32,790
11.512
34.043
43,205
27.969
32.900
13.032
28.318
29.184
60.695
77.363
21.215
13.631
54,696
175.281
37,656
29,921
61,414
32,585
60,386
27.833
16,256
134,396
25,575
4,702
419
556
1343
1,088
1,061
2.585
2.857
1,950
4.835
3.142
1.664
6.181
587
1.652
1.135
1,176
1.899
687
3.051
4,026
1.103
868
2,310
33,614
554
600
278.351
1.188
971
4,109
2.907
554
1,782
3,150
1,066
1.648
1,469
1.039
1.313
4.390
2.599
621
404
2,579
14.185
1.790
3.083
3.255
2.086
2.841
525
268
9.863
1,630
4.742
427
559
1,346
1.094
1.072
2.608
2,869
1,962
4,862
3.147
1.674
6.241
590
1,671
1,142
1,182
1920
690
3.087
4.040
1.108
871
2.334
33.821
560
603
282.727
1,194
996
4.164
2.913
556
1,785
3.180
1.076
1.652
1.478
1.048
1.318
4.417
2.624
622
405
2,595
14.489
1.796
3.087
3.293
2.102
2.844
528
269
9.920
1,631
1
1
15
51
14
8
20
29
15
75
57
43
289
121
72
273
16
166
15
42
191
4
47
60
34
48
57
3.425
13
18
30.817
15
20
571
156
14
67
60
47
32
41
103
71
118
37
22
7
60
474
100
145
202
61
251
13
3
364
13
98
28
10
142
58
82
322
305
124
547
128
201
1.103
32
392
117
58
378
42
144
247
22
258
120
2,652
21
6
39.886
165
58
786
282
87
78
169
60
53
301
199
85
156
137
54
28
95
1.033
130
135
306
220
177
36
9
998
170
926
125
136
372
223
219
493
825
481
664
679
337
1,482
118
251
443
216
354
113
721
649
227
165
395
6.486
141
130
43,535
272
211
730
475
97
379
472
243
461
213
133
276
1,333
599
68
85
387
2.657
332
470
460
430
679
138
52
2.457
316
3,194
200
366
713
677
659
1 ,307
1,235
1.126
2,164
1,655
698
2,218
271
470
497
725
607
487
1.880
2,594
465
283
1.648
1 3,646
264
432
110.791
650
636
859
1.286
276
1,003
1,958
663
932
744
394
815
2,092
1.621
397
267
1,786
8,219
901
1.665
1.549
1.273
1.094
286
182
4.612
1.019
417
51
34
87
97
76
377
420
164
1,144
554
344
1.036
149
353
62
134
349
39
243
458
347
108
79
7,158
112
14
50,923
81
42
1,116
674
75
246
499
41
164
157
202
55
663
194
77
16
233
1,716
316
649
714
95
625
43
18
1 ,372
102
40
8
3
3
6
2
9
3
9
II
10
12
22
2
6
59
12
1
1
16
2
15
16
7
4
11
167
3
1,554
5
3
23
29
5
9
2
10
5
13
7
6
25
10
3
1
15
74
11
12
21
6
9
7
4
49
9
1
1
23
12
12
27
5
10
5
5
3
6
10
I
8
4
1
2
1
2
80
845
3
7
6
21
3
36
Lodi
5
3
207
6
3
4,376
Los Angeles
1
24
5
2
1
1
5
3
1
3
■>o
9
9
5
1
Mill Valley
3
12
I
304
6
7
3
1
6
2
11
1
38
3
3
57
1
112
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
68,101
64,379
58.037
39,322
69.077
24.480
99.463
49,354
13.199
379.695
142,142
141.391
115.562
17,352
12.984
147,317
39.307
16.891
25,287
41,327
57.163
13.721
85.894
26.562
50.833
134,905
17.447
26,376
44.862
61.796
11,106
18.445
51.075
42.110
32.344
55.157
142.798
31,313
21.572
113,089
10.048
43.097
13.198
72.763
62.051
63.879
68.378
16.470
82,306
91,721
29,101
10.531
242.740
22,973
38.262
53,360
3,470
3.403
4.881
2,977
3,487
1,240
5.199
2.086
893
40,373
8.310
11.263
5,723
289
1,189
7,948
1,187
654
2,919
3.714
3.019
169
4,991
967
4,180
9,204
1.020
2,391
1,921
2,966
362
1,079
3.286
1.547
2.118
2,143
8.873
2.239
780
5.392
697
773
1.208
5.875
4.036
3.899
3.121
970
4.690
9,197
1.317
841
22.340
891
2.178
2.271
3.485
3,479
4,899
3,003
3.500
1.249
5.221
2.110
899
40.670
8.349
11,347
5,769
290
1,189
7,999
1.195
658
2,929
3.749
3.041
171
5,056
976
4,212
9,257
1.026
2.391
1.947
2,984
366
1.084
3,300
1.559
2.130
2,152
9.027
2,242
785
5,420
698
782
1,211
5,900
4.050
3,906
3,124
975
4.725
9.300
1,364
844
22,617
899
2,186
2,290
5
1
8
10
21
25
11
18
3
26
17
4
323
88
53
32
1
7
29
8
1
10
20
9
44
2
17
36
12
20
7
22
1
9
20
5
7
5
64
14
5
19
3
2
4
68
31
12
15
8
26
73
8
3
134
4
9
9
130
59
397
63
46
18
514
23
7
3.877
516
579
253
3
33
404
32
9
65
146
75
1
243
9
345
762
11
147
17
229
11
61
194
61
66
20
812
49
40
167
6
17
9
111
137
140
77
21
353
733
9
12
1.220
17
27
255
237
321
442
173
159
107
621
200
41
3,990
1,069
921
326
6
64
1.073
171
75
188
362
61
13
1.035
84
698
902
158
287
209
564
7
77
283
112
100
44
1.062
135
83
123
50
85
136
327
370
227
347
104
421
1,225
156
60
2,558
37
379
291
386
503
715
420
869
294
948
380
168
7,026
2.167
2.286
1,163
64
300
1,794
230
173
715
1,035
421
55
989
175
823
1.546
237
633
394
553
80
196
787
374
464
337
1.832
472
217
1,249
274
177
173
1.195
861
822
400
152
1,752
1,749
313
207
5.022
201
650
565
2,464
2,299
2,028
2.032
2.114
611
1.749
1.331
627
17,800
3,197
4,760
2,875
210
642
3.625
649
370
1.764
1.594
2,307
88
1,809
659
1.264
4.731
534
836
1,165
931
229
559
1,640
748
1,293
1,581
3.471
1,258
374
2.700
330
389
824
3.698
1,775
2,177
1,935
555
1,152
4,173
764
472
9.453
569
978
757
238
199
1,266
278
278
205
1.331
135
45
7,217
1.258
2.639
1.066
5
143
1,015
96
25
176
550
145
12
861
38
1.017
1.211
67
462
129
653
34
177
353
244
188
156
1.593
306
59
1.129
34
100
62
470
856
521
343
130
968
1.192
64
87
3.916
63
135
384
15
76
18
26
3
2
10
1
140
15
25
8
8
1
1
1
7
1
10
16
16
1
6
13
9
22
24
6
Oakland
297
39
84
46
1
51
8
4
Palo Alto
10
35
22
2
65
9
32
53
6
26
14
9
3
18
4
5
14
12
12
9
39
5
2
5
3
154
3
5
28
1
9
Red Bluff
3
6
6
25
14
7
4
18
52
3
37
3
5
35
103
47
3
277
8
8
Rosemead
10
19
113
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murdei
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
50,183
389,458
116.753
12.020
175.443
40.469
27.216
43,883
1.168.785
34,894
23,794
741,568
38,189
18.020
18,833
815.235
28,136
70.127
41.924
13,328
88.039
26,944
49.420
38.079
293.021
86.595
95.619
120.735
49.681
16.365
65,223
88,574
25.964
118.576
29,435
25.377
40.050
15.645
11.180
105.614
20.589
90,159
22,586
25,124
56,574
30,835
223,431
25,298
120.492
34.072
32.892
109.386
137,995
39,812
37,067
3.437
40.218
7,804
307
21.142
1,874
872
1.446
76.725
1.211
1.275
61.860
1.730
994
909
36,559
1.036
5,641
2,015
270
3,435
3.058
2.499
1,016
17.649
4,770
4,852
4,118
4,738
2,437
3.986
8.888
1.399
7.723
479
865
1.498
1.090
183
3,120
1,213
4,593
1.500
995
2,433
2.237
23.460
1.024
3.802
1,980
1,056
2.911
8.117
2,614
1,750
3.447
40.376
7.855
311
21.304
1.881
873
1,451
76,941
1,222
1,277
62.296
1,738
1,004
909
37,033
1.048
5.667
2.088
272
3,470
3,076
2.512
1.020
18.040
4.780
4.871
4,139
4,758
2.450
4,002
9.024
1.406
7.772
483
869
1,508
1.097
183
3,153
1,223
4,616
1.510
1.011
2.449
2.267
23.594
1.037
3,832
1.988
1,059
2,934
8.179
2.630
1.863
3
62
24
10
174
65
2
163
8
3
12
403
8
8
292
5
5
10
375
6
25
22
22
11
19
4
80
38
21
31
20
7
27
46
9
82
3
2
6
3
60
2,292
414
4
1,538
45
13
47
3,845
32
108
6,624
202
21
24
1.109
27
325
26
18
135
236
50
15
1.771
139
95
99
130
127
116
507
42
175
4
27
134
25
1
39
114
548
38
88
86
90
1,433
43
110
34
56
60
432
48
75
210
2,170
846
5
2,307
47
67
155
8,238
145
160
3,830
157
168
35
4.398
113
215
199
17
298
423
166
32
1.154
388
414
662
347
189
247
490
113
348
28
36
266
266
14
169
190
328
84
25
157
194
2,007
44
174
185
157
207
284
367
257
704
8,076
1,209
77
4,914
230
146
298
12,889
278
235
8,055
403
289
357
5.823
231
867
449
77
513
473
408
185
2,452
906
757
961
756
350
656
1,580
307
1,594
154
193
188
159
40
651
295
854
400
232
297
612
4,561
275
516
502
276
496
1,547
358
377
2,078
18.598
4,179
203
8,485
1 .37 1
595
754
35,204
567
512
33,719
735
377
350
20,300
533
3.473
1.216
133
2.163
1,431
1,608
713
8,392
3.031
3,070
1.847
3,294
1,187
2,714
5.091
839
4.882
271
502
825
454
109
1,833
379
1.327
887
466
1,569
939
11,152
547
2.495
1.017
416
1.801
4.280
1,454
690
372
8,846
1.067
16
3,664
173
48
177
16,033
181
250
9,249
224
133
128
4,521
126
732
103
22
303
472
248
67
3,726
265
493
518
188
572
224
1.166
86
637
19
104
76
180
19
418
222
1,511
79
176
311
388
4.142
106
478
231
145
328
1.545
372
340
10
158
51
4
71
162
7
1
3
113
2
91
4
1
5
J3
4
5
216
II
2
436
8
10
474
12
26
73
1
1
12
2
35
18
13
74
3
2
3
5
2
8
3
5
1
3
3
4
391
10
19
21
20
13
16
136
7
49
4
4
10
7
1
4
9
2
4
2
5
44
9
9
16
10
4
II
9
121
9
27
11
4
18
26
13
7
33
10
23
10
16
16
30
134
Suisun City
Sunnyvale
13
2
30
8
2
1
3
2
4
3
23
62
16
113
114
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson"
CALIFORNIA— Continued
46,535
54,231
12.688
11.659
14.971
55,748
65,789
79,252
115,675
96,288
48.981
82,733
31.185
62.075
31.620
100,490
35.819
79.540
30,454
81,929
13,602
42,216
57.791
30,939
36,964
14.161
98.473
252.833
90,334
15,690
27,342
13.546
11.024
312,122
18,028
511,085
13,724
10,478
98.479
10.169
11,624
14.297
31.873
65,178
16.774
132.899
38.521
57,637
15.738
42.552
29.415
103,983
10,696
4.321
3.437
904
709
974
3.173
5,385
3.671
9.488
5,283
4.800
6.894
968
2.871
2,754
5,857
3,940
4.777
2.431
3.661
631
2,120
1,347
2,968
1.527
780
3.987
19,756
6,522
837
1.118
753
369
20.811
1,910
35.434
1.003
626
4.452
713
400
617
3.485
4,210
652
7.734
1.587
3.260
424
1.310
1.581
7,337
471
4.378
3,462
920
715
979
3.195
5,428
3.686
9.541
5,323
4.820
6.921
982
2.877
2.762
5.872
3.962
4,788
2.464
3.683
638
2.149
1,366
2,982
1,533
793
4.021
19.859
6,548
843
1.140
753
375
20,931
1.92!
35,853
1.003
630
4,479
722
402
624
3.520
4,254
665
7.788
1.597
3.290
436
1.320
1.594
7.422
477
2
1
1
1
3
4
3
30
5
3
II
2
1
1
6
2
5
6
7
2
20
16
10
74
84
11
15
12
145
180
115
602
141
166
201
57
54
83
325
353
185
90
184
9
51
21
44
26
15
54
623
53
7
3
12
4
401
48
1.714
6
10
34
3
1
3
39
54
5
146
19
24
281
109
89
8
45
133
301
238
928
259
317
732
99
94
286
299
379
195
213
241
39
302
54
157
118
57
230
2.876
123
20
51
19
5
860
193
2.545
21
13
304
30
10
31
136
79
17
449
77
47
36
65
68
1.212
15
919
726
327
150
168
594
1.328
724
1.888
1,289
1.051
986
323
593
357
1.067
573
913
699
732
143
387
217
573
497
302
789
3.018
1.032
143
188
110
74
3,033
277
7,759
107
86
720
78
74
119
554
575
135
1.206
293
435
74
138
202
1.424
62
2.369
2.061
413
497
684
1.973
2.747
2.267
4.802
3.135
2,416
4,104
371
1.914
1.839
2.882
1.819
2.630
1.027
1,920
408
1,030
918
1,994
713
312
2,638
11.802
5,009
619
831
572
270
15,185
1.280
16,723
836
485
3.169
582
300
438
2.611
3.296
464
5.318
1.045
2,656
297
1.010
1.190
4.052
374
656
440
53
38
60
310
808
301
1.184
431
822
818
114
201
174
1.252
787
831
375
565
29
338
131
182
167
85
228
1.275
259
38
39
31
12
1.090
95
6.246
19
30
171
19
11
23
118
175
31
557
141
86
15
49
94
390
17
57
25
16
6
Ukiah
5
15
17
23
54
23
25
42
2
14
14
26
27
18
21
12
3
12
4
18
5
8
42
147
40
10
5
8
4
228
17
366
14
2
53
1
4
3
24
28
5
22
43
15
53
40
20
27
Walnut
14
6
8
15
West Hollywood
22
II
33
22
7
29
19
14
1
1
6
15
6
1
1
14
6
13
COLORADO
34
103
26
6
22
6
120
11
81
1
3
• 3
5
419
4
27
9
2
7
35
44
13
53
12
12
1
36
5
84
54
10
1
30
12
12
22
167
3
10
13
Pueblo
Sterling
8
85
6
115
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
COLORADO— Continued
Thornton'
62,126
85,169
18,049
13,840
16,670
17,540
19,349
27,460
136.781
61,070
14.112
25.551
12,868
10.145
12,382
65,217
18.194
12,204
10.509
50,108
26,009
10,010
45,221
53.418
20.467
27,711
58,441
34,328
19,744
52.165
131,833
15,404
51,265
58.513
42,551
48,499
16,894
30,988
72,829
17.864
123.858
29.009
24.326
23.924
20.778
12.929
22.132
78.432
36,379
12.763
14,429
17,273
3,967
556
221
471
247
889
525
10,859
2.279
285
544
218
171
437
3.628
374
539
234
2.741
1.160
333
1,755
1.915
763
533
1.366
1.058
446
2.439
16.572
280
3,503
3,247
1.993
2 422
283
703
5.487
208
16,215
1.026
1.270
619
266
262
710
4.357
1.607
905
189
518
3.983
559
223
471
247
890
525
11.072
2.287
285
548
219
172
437
3,634
375
542
235
2.763
1.166
340
1.765
1.924
763
533
1.374
1.061
448
2,439
16,809
283
3,534
3,253
1,997
2,431
284
714
5,488
208
16,375
1,033
1.276
624
267
264
711
4,369
1,629
908
190
519
3
2
1
29
10
7
34
30
20
1
4
2
28
3
947
42
1
4
1
202
45
3
9
24
60
18
814
333
8
1
9
8
4
143
1
10
5
114
21
14
33
25
16
4
27
44
5
29
1,461
7
107
77
47
22
9
10
253
524
660
96
53
71
68
146
58
2.420
438
62
135
76
32
38
676
50
160
42
421
212
76
280
476
91
89
162
148
94
332
3.128
76
1.000
772
359
352
70
141
1.253
43
2,961
130
174
81
83
59
105
757
347
87
33
95
3.180
2.762
347
158
318
141
529
384
3,546
1,175
194
377
120
125
338
2,317
274
308
175
1.606
772
189
1,116
1,127
579
412
985
798
324
1,658
7,579
182
2,127
2,011
1.344
1.672
192
442
2,864
159
7.439
755
830
485
165
183
504
2.796
972
756
121
328
256
301
40
6
67
11
119
56
3.023
257
19
27
11
6
47
416
47
53
11
450
138
43
297
254
70
24
167
39
16
333
2.703
14
158
274
215
332
II
102
853
5
3.167
115
121
29
12
16
71
473
91
41
16
72
16
CONNECTICUT
3
2
Berlin
2
1
7
6
59
34
1
Bloomfield
50
1
1
213
8
4
1
1
9
1
1
9
65
2
7
1
135
16
8
26
29
5
3
20
14
4
78
1.549
1
77
105
23
33
1
4
236
1
1.150
9
58
1
3
3
13
172
37
16
2
12
2
6
1
3
2
1
13
1
3
3
4
2
1
5
15
3
7
97
22
6
7
Enfield
10
9
8
2
55
3
1
2
3
Guilford
2
237
3
34
5
4
9
31
6
4
Milford
9
1
Naugatuck
4
18
11
10
32
3
6
1
1
102
6
4
3
1
1.364
11
80
20
2
1
16
143
115
4
17
7
160
7
6
5
1
2
1
10
44
1
1
12
22
3
1
4
1
See footnotes at end of table.
116
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson"
CONNECTICUT— Continued
11.968
20,918
16.439
14.213
36.460
21.870
38.254
21,938
107,458
16.447
49,388
11,349
33,846
32.015
30,092
40.613
106.772
17,432
20,712
59.700
54,101
24.409
25,475
15,316
15,988
27,627
12.272
13.628
28.839
570.000
36.827
15,068
15,416
17,124
66.580
50.513
46,267
84.364
20,768
101,540
19,475
12.636
28,728
24.973
42.450
89.313
11.955
13.569
53.893
66,886
269
224
579
255
600
351
1.297
357
6,433
442
1.727
137
937
1.361
906
1.260
8.694
779
649
2.196
2.926
697
620
686
220
776
290
415
2.677
63.144
3.262
2,051
1.366
2,684
3,323
4,916
4,754
3.993
1,245
7999
2,326
1,320
1,626
958
5.949
4,549
613
2,581
4,443
8,381
272
227
579
257
609
352
1,301
357
6,449
444
1.742
138
941
1.366
910
1.266
8.709
782
649
2.205
2,937
704
625
688
221
780
290
415
2.700
63.350
3.270
2.056
1.368
2,692
3.333
4,926
4,766
4,000
1,247
8034
2.328
1.321
1.628
964
5,954
4,552
614
2,585
4,449
8,406
1
2
4
1
13
16
3
3
19
8
1
13
5
267
4
18
2
71
16
43
5
245
27
24
46
74
10
43
II
4
16
5
8
162
8.218
169
119
161
316
103
458
493
191
78
861
293
66
100
45
160
222
54
233
242
928
65
67
70
59
162
59
317
72
1,078
72
294
15
170
141
161
205
1.866
108
117
362
473
119
87
166
53
101
27
106
255
10,037
497
374
215
753
671
863
1.213
930
291
1,615
560
213
319
195
858
750
101
463
815
1,980
150
149
412
143
323
280
820
243
4.005
337
1.041
102
618
1.041
600
910
4.970
594
423
1.453
1.778
498
383
446
150
549
199
251
2,034
29,673
2,179
1,339
853
1,275
2.103
2.668
2.453
2.578
708
4.813
1.146
964
1,024
663
3,746
3.118
412
1.429
2.872
4,082
31
4
79
32
99
10
127
27
714
23
306
17
57
149
75
132
1.292
37
76
218
527
59
79
40
11
84
52
37
124
8.257
303
139
88
174
354
727
351
244
125
423
183
53
152
33
969
391
40
334
432
930
3
3
Rocky Hill
2
1
1
6
1
1
1
2
6
1
16
4
348
1
57
1
15
13
24
5
275
9
6
110
67
8
25
16
1
22
7
5
66
6,311
97
74
35
153
72
185
199
35
31
235
105
21
23
19
206
46
5
94
75
383
9
1
4
6
15
5
10
4
16
2
15
Suffield
1
6
4
1
1
1
8
1
2
2
1
1
1
1
399
3
2
1
6
3
3
1
4
1
5
2
2
38
4
2
5
5
3
6
4
Wallingford
6
15
3
9
II
7
Weihersfield . .
5
2
Wilton
1
4
7
35
249
17
6
11
11
19
?
42
12
11
48
38
3
8
3
9
21
4
DELAWARE
Dover
DISTRICT OF COLUMBIA
23
206
FLORIDA
8
5
2
8
10
10
12
7
2
35
2
1
2
1
1
1
4
2
8
6
5
3
1
24
5
70
4
6
25
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny -
theft
Motor
vehicle
theft
FLORIDA— Continued
Decrfield Beach
De Land
Delray Beach
Dunedin
Edgewater
Eustis
Fort Lauderdale
Fort Myers
Fort Walton Beach
Gainesville
Greenacres City
Gulfport
Haines City
Hallandale
Hialeah Gardens
Holly Hill
Hollywood
Homestead
Jacksonville
Jacksonville Beach
Jupiter
Key West
Kissimmee
Lady Lake
Lake City
Lakeland
Lake Wales
Lake Worth
Largo
Lauderdale Lakes
Lauderhill
Leesburg
Lighthouse Point
Longwood
Lynn Haven
Melbourne
Miami
Miami Beach
Miami Shores
Miami Springs
Miramar
Naples
New Port Richey
New Smyrna Beach
Niceville
North Lauderdale
North Miami
North Miami Beach
North Palm Beach
North Port
Oakland Park
Ocala
Orange Park
Orlando
Oviedo
47.726
17.795
50,481
35,399
17,422
14,623
153.701
47,983
23,518
89,787
22.362
11,820
12,475
31.132
10,456
11,627
125.974
29.641
685.776
19,432
26,877
26,246
34.780
10.520
10.395
75,159
10.369
29.488
69.750
28.604
51.066
17,718
10.536
14.984
10,352
66,516
379.980
94.064
10.826
13.737
45.982
21.143
14.756
17,835
12,422
27,817
53.040
38.147
11.427
13.536
28,266
45,448
10,369
180,288
15,752
3,462
2,539
6,443
1,484
772
461
27,775
6,961
1,230
10.945
1.499
1.054
1.254
3.135
986
1,100
12,611
3,776
65.997
1.802
1,483
3,726
4,175
185
1,420
9,586
1.120
4,724
3,260
3.263
4.568
1,543
311
872
229
6,137
65.269
16.641
1.287
1.140
3.038
1,565
1.134
960
1.578
7.084
3.596
543
381
4,509
6.892
588
21.836
752
3.473
2.541
6,449
1,489
774
463
27,822
6.976
1.240
10.960
1,502
1,060
1.260
3,140
988
1,105
12,631
3,779
66,418
1,805
1.484
3,731
4,185
186
1,422
9,591
1.122
4,730
3,270
3,270
4.579
1.544
312
873
229
6.169
65.492
16.658
1.288
1,140
3,055
1.565
1.140
960
211
1.582
7,101
3,603
547
382
4,511
6.912
589
21.905
759
4
106
1
116
13
15
24
10
6
4
94
61
14
72
6
5
2
13
1
4
56
23
648
12
30
221
44
4
4
1
8
24
15
1
7
19
38
2
144
10
123
60
244
25
3
12
1.274
371
28
391
21
44
37
148
9
32
438
214
3,427
77
18
134
115
4
36
323
53
211
65
158
181
41
5
30
109
5,841
693
93
46
152
48
9
14
39
562
241
13
148
232
17
1,095
14
231
206
494
163
89
67
1.039
802
85
1.056
84
113
59
385
42
43
592
525
6,242
210
71
206
330
17
157
598
99
272
352
206
312
231
II
54
16
644
6.793
947
41
51
266
102
73
71
18
80
455
219
21
24
302
546
43
2,853
66
577
531
1,313
366
90
84
5.405
1,444
215
2,122
327
221
306
655
231
287
2.019
848
14,327
345
275
566
1,115
67
307
1,924
279
1.069
633
648
1.000
365
51
253
42
1.183
11,277
2.437
274
206
553
325
314
195
48
311
1,555
911
131
104
837
1.152
90
3,975
188
2,013
1,587
3,750
856
537
264
16,382
3,426
813
6.610
874
624
739
1.522
500
682
7.886
1,841
34,453
1.083
995
2,374
2,368
83
838
5.494
587
2.478
2,075
1.418
2.088
828
205
486
162
3.693
30.645
9.373
596
643
1.608
1.005
692
596
132
977
3.093
1.528
328
233
2.464
4,653
389
11.631
422
504
139
607
64
47
29
3.548
850
75
685
187
47
110
411
203
52
1.612
321
6.794
75
122
419
216
14
73
1.193
99
666
118
820
963
66
38
48
7
477
10.376
3,142
277
190
433
81
46
80
7
161
1.384
677
49
13
735
266
47
2.121
51
118
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
FLORIDA— Continued
10.859
72.562
26,557
37.969
73.267
61,856
45,255
74,104
25,812
38,587
65,672
11,946
27,592
17.693
17.262
15.959
12,756
14,672
243,508
35.259
52,694
10.350
11.414
12,207
10.637
12,652
72.787
14,857
134.901
48.128
294,663
19.246
16,974
42.348
17,476
18,349
70.083
12,019
11.325
25,801
22,612
25,400
82.950
17,085
17,444
90.791
411,204
46.317
11.398
13,523
20.739
194.128
1,781
4,434
2.263
3.184
4.718
5,176
3,408
7,258
2.486
1,093
2,751
411
4.721
1.183
860
623
1.729
960
23,973
3.384
6.046
355
588
393
1.268
1,279
5,408
207
17,363
2,432
51,510
987
549
3.050
609
1.566
12,129
1,310
927
3,336
1.963
623
8,738
751
1,107
7,037
66,280
3,994
1,223
925
3,837
11,892
1,790
4,439
2.273
3.192
4,729
5.196
3,424
7,278
2,487
1,095
2.769
411
4.743
1,184
860
625
1.736
961
24,115
3,387
6,059
358
590
393
1,269
1.285
5.418
207
17,393
2,433
51.764
1.000
549
3.055
611
1.568
12.154
1.314
933
3.342
1.966
629
8.738
753
1.115
7,051
66,482
4.004
1,225
930
3,837
11,930
1
3
2
8
1
3
1
3
16
21
3
15
19
33
30
12
8
5
32
1
46
:
:
8
8
5
213
24
38
1
4
2
4
4
18
73
57
44
65
102
169
63
172
81
6
26
6
308
22
12
8
53
13
1.509
167
353
3
1
15
106
30
161
11
740
57
3.378
35
28
98
9
29
821
37
21
89
79
8
415
2
23
218
5,343
189
39
18
191
371
175
393
57
218
125
636
193
226
310
44
175
17
821
72
38
33
142
58
3.745
331
480
11
44
30
73
122
177
14
1.487
98
6.524
117
5
382
45
77
586
70
123
171
135
61
476
17
8
472
8,728
191
102
66
252
580
355
933
425
476
577
1.120
570
963
462
134
697
57
1.628
268
122
160
278
225
4.704
874
1,321
75
157
127
278
221
868
28
3,293
333
8.734
234
87
747
65
294
2.586
243
176
704
404
185
2.313
90
139
1.231
12.136
1.007
205
207
615
1.984
1,064
2,736
1.543
2.258
3,334
2.964
2,391
4.852
1.297
874
1.687
318
1.634
757
633
385
1.196
619
12.339
1.667
3.578
257
360
185
623
858
3.467
79
10.436
1.597
21,503
559
354
1,601
473
1,085
6.500
806
484
2.080
1.204
329
4.988
600
905
4.633
30.888
2.075
833
530
2.052
8.004
97
291
191
150
561
246
160
1.030
327
30
131
12
277
60
53
29
49
39
1.440
312
271
8
22
33
182
44
714
75
1.284
341
11.011
39
75
203
14
58
1,549
150
117
277
128
34
470
40
31
405
8.572
505
37
101
702
896
9
5
10
8
II
20
16
20
1
2
Port St Lucie
18
7
2
3
1
23
9
5
22
Rockledge
1
2
7
1
142
3
13
3
2
1
2
1
6
3
9
1
62
10
114
5
298
3
30
1
254
13
19
3
22
58
4
6
15
12
6
52
~i
1
72
422
14
4
2
19
37
5
2
1
29
2
25
4
6
6
1
24
3
6
GEORGIA
2
8
6
191
13
3
1
6
20
14
202
10
2
5
38
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thefl
Motor
vehicle
theft
GEORGIA— Continued
HAWAII
IDAHO
Uene
Is
Lewiston
Meridian
Moscow
Nampa
Pocatello
11.358
11.323
22,583
11.439
13.109
17.338
11.256
33.502
17.035
19.361
22.936
25.484
10.237
27.390
20.553
111.722
49.028
18.684
11.802
15.649
14.206
23.265
10,364
10.234
32,176
52.776
11.541
144.691
32.969
14.171
17.450
18.553
15.141
10.436
42,491
11.719
47.561
17.748
39,555
880.687
11.296
144.248
22.106
28.282
51,257
30,948
11.883
20,323
33.390
50.925
15.407
31,549
934
1,191
1.725
1.382
1.455
1,237
494
4,179
2,046
1.927
2.459
2,390
562
2.707
1,105
13,275
5.427
1,145
503
1,657
1.011
267
495
1.136
3.100
2.476
729
12.450
2.849
466
1.224
1.856
1.290
1.438
3.363
815
2.919
1.533
2.828
60,825
562
8.412
1.434
2.501
3,138
1.234
750
706
2.811
1.980
609
2.271
934
1.194
1,728
1,384
1.459
1.237
494
4.222
2.060
1,934
2,470
2,390
562
2.709
1.120
13.343
5.449
1.146
503
1.667
1.011
267
499
1.136
3.118
2.481
734
12,501
2.852
466
1,224
1.864
1.290
1.438
3,370
817
2,919
1.543
2.850
61,156
564
8.486
1,454
2,526
3.163
1,243
750
714
2,836
1,991
609
2,278
17
266
22
31
29
48
26
54
4
242
92
55
74
37
4
67
12
445
144
22
3
79
33
2
7
37
71
42
3
865
94
3
47
51
58
146
51
80
34
34
1.058
3
4
60
58
11
6
13
11
13
13
7
4
3
1
7
1
19
13
17
17
3
7
10
80
120
148
100
183
134
75
291
62
65
202
40
389
221
140
28
96
40
4
23
354
53
17
517
68
73
85
106
18
259
107
99
50
54
1,169
38
384
88
184
177
33
26
13
192
108
6
124
195
179
247
174
102
178
111
874
254
258
302
347
202
460
138
2,304
684
158
96
394
195
24
53
97
662
!,164
405
56
203
467
229
133
808
115
508
172
605
10.018
76
1,374
185
343
374
115
146
65
385
356
27
416
684
820
1,200
930
1.104
860
312
2.267
1,324
1.403
1.611
1.842
277
1.811
852
9.051
3.889
788
375
1.017
657
208
423
868
1.891
1,823
595
7,396
1.997
389
875
1.184
855
1.039
1.957
490
2.052
1,248
2,038
42,552
410
6.147
1,061
1.885
2.442
1,021
543
599
2.091
1.376
569
1,622
25
68
121
61
118
46
43
585
230
127
153
82
11
157
58
959
460
23
80
29
11
106
109
172
22
1,404
262
17
47
66
43
186
152
41
157
24
76
5.727
31
385
83
64
117
54
30
21
109
106
4
91
120
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
Modified*
Crime
Murder
and non-
negligent
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
Arson*
total
total
man-
slaughter
assault
theft
ILLINOIS"
13,211
2
11
60
268
6
1
77,433
13
40
350
1,464
52
12
107.195
13
306
625
1,232
3.317
633
54
Bartlett
24,084
2
20
127
400
9
4
40,345
2
8
83
550
16
3
38,647
5
148
146
454
1,876
630
30
2.802,494
928
33.925
40.380
43.821
121.164
40.016
1.626
Crystal Lake
27,072
5
35
125
1.002
31
8
54,682
24,972
20
67
50
61
333
272
1.330
1,032
143
146
16
Dolton
4
5
82,076
5
103
274
826
2,724
263
22
34.887
6
27
171
1.221
78
18
75.075
2
233
191
1.276
3.715
243
18
33,916
1
24
45
287
1,342
34
4
29,366
5
29
76
702
34
5
37 887
10
29
183
730
29
1
13,815
30 832
28
59
12
84
31
455
461
201
7
4
Highland Park
1
1
47,830
20.127
1
12
19
48
14
178
100
809
851
51
145
7
2
79,860
11,747
20
259
8
431
9
1.172
71
3.708
601
443
55
45
19.899
5
25
188
680
52
22,477
53,952
5
20
17
56
75
196
592
1.316
34
68
10
12
93,027
47,096
36.830
1
20
15
12
45
38
21
338
190
309
2,092
1.107
675
68
69
63
19
7
Park Ridge
4
115.346
15.548
II
1
608
4
1.835
16
2.604
83
6.845
348
1.007
26
153
Rockford
143.373
23.088
24.465
30
665
1
5
1.099
19
19
3,941
158
107
7,928
655
826
1.104
61
19
37
7
St. Charles
6
Schaumburg
71.996
2
16
101
479
2,528
204
15
Springfield
107,701
18
502
1.039
2.674
5.649
596
88
33.307
54.399
30.806
27,440
12.642
3
7
12
5
2
21
24
33
6
1
145
172
109
164
67
757
1.050
749
399
198
22
26
25
12
4
4
5
1
1
4
8
1
INDIANA
Bedford
14.123
13.567
62.524
29,244
21,509
844
583
3.034
743
1.984
845
593
3,049
750
1.987
1
1
3
36
2
10
8
7
16
3
7
83
3
523
51
15
132
104
445
59
182
572
420
1,844
599
1 ,634
48
45
170
29
135
1
10
15
1
7
Clarksville
3
Columbus
33.335
1.985
1,997
2
28
23
90
376
1,413
53
12
15.953
14,272
18.897
893
878
422
896
882
424
4
2
2
8
3
7
30
9
23
14
201
204
88
32
628
627
273
169
28
28
35
22
3
4
2
Dyer
34.152
129,684
176.603
2,876
7,264
12,914
2.896
7,341
13,017
16
8
38
20
50
100
160
161
577
378
566
267
615
1.552
1.778
1.304
4.541
8.477
383
386
1,677
20
77
103
118,640
24,815
11,234
1.439
11.946
1.448
80
143
5
855
6
1.719
109
2.547
155
3.410
1,114
2,480
50
712
9
See footnotes at end of table
121
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
INDIANA— Continued
Greenfield
Greenwood
Griffith
Hammond
Highland
Huntington
Indianapolis4
Jasper
Kokomo
Lafayette
Lake Station
La Porte
Logansport
Marion
Martinsville
Merrillville
Michigan City
Muncie
Munster
New Albany
New Castle
Noblesville
Plainfield
Portage
Richmond
Schererville
South Bend
Speedway
Terre Haute
Valparaiso
Vincennes
Wabash
Warsaw
IOWA
Ames
Ankeny
Bettendorf
Boone
Cedar Falls
Coralville
Davenport
Des Moines
Dubuque
Fort Dodge
Fort Madison
Indianola
Iowa City
Keokuk
Marion
Marshalltown
Mason City
Muscatine
Newton
Oskaloosa
See footnotes at end of table.
12,861
28,766
18,684
85.655
23,508
16,861
10.720
46.721
45.896
14.660
22.629
17,320
32.991
12.467
27.851
34,613
73,621
20.665
38.822
18,389
19.505
11.045
31.002
39,472
21,910
107,701
12.829
60.179
25.958
19.935
12.214
11,962
47,103
19.755
29.856
12.521
35.418
11.762
98,411
196.647
59.117
26.022
11,973
11,963
59,862
12,607
21.465
24.966
29.395
23.498
14.922
10.781
268
1.028
769
7.618
1.096
690
35.660
255
2.502
2,709
824
1,297
984
2.672
539
1.349
2,652
3,884
726
2.977
1.146
751
451
1,288
2,162
767
10.476
812
4.860
874
925
326
728
1.709
457
1.167
481
1.040
577
8.950
14.180
2.653
1.721
573
474
2.464
727
673
1.291
2,215
1.227
606
285
270
1,028
769
7,692
1,097
703
36,012
256
2.510
2.742
827
1.297
986
2.676
541
1.350
2.675
3.906
728
3.034
1.148
756
452
1,297
2,230
769
10,545
813
4,874
880
930
327
730
1,717
457
1.176
483
1.047
583
9,028
14,330
2,687
1.730
582
477
2,488
733
682
1.299
2,216
1,240
609
287
483
7
II
344
16
2
2,454
45
23
12
6
5
27
5
23
87
117
9
39
5
5
4
21
34
4
518
36
86
5
10
7
341
301
21
20
78
863
47
194
3.422
31
137
63
6
341
92
592
28
25
69
638
31
483
4
134
13
43
10
3
609
4
139
75
9
9
136
40
12
101
4
1,238
451
162
135
5
2
209
101
19
93
257
106
10
14
27
83
57
1,246
106
63
8,151
30
399
434
117
160
407
32
102
391
674
58
336
218
70
58
187
408
149
2.500
50
1.090
92
235
86
61
205
58
148
45
78
109
1.806
1,714
513
287
79
75
455
132
103
217
305
385
58
63
224
858
505
3.830
779
407
15.041
186
1.799
2.044
634
784
692
1.514
450
949
1.754
2,142
538
1.975
865
515
353
901
1.598
527
5.986
627
3,274
656
614
212
496
1.392
369
852
414
853
441
4,996
10,743
1,794
1.173
468
384
1.642
430
529
908
1.564
653
484
186
15
69
117
1,286
146
16
6,001
8
99
128
82
40
30
107
21
247
323
294
90
128
51
24
21
129
101
84
749
92
242
42
45
19
34
55
15
54
21
47
15
503
886
146
96
18
13
121
52
16
52
69
56
46
13
122
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
IOWA— Continued
Sioux City
Urbandale
82.666
11,229
26.249
67.746
34,688
316,629
24,733
42.833
10.243
43.316
13.288
19.734
16,063
20,962
16,373
27,720
12,482
26.966
31,486
11.141
23.763
237,451
276.307
16,808
10.193
11,191
14,550
19,020
15.196
54.403
27.374
20.297
22.736
16.070
15.805
11.514
16.912
49.361
14.150
226.595
14.851
53,318
14,109
10,439
11.315
17.647
16,684
10.379
31.506
7.503
163
805
4.547
1.514
29,156
992
3,258
307
4,651
702
1,150
693
1,350
140
1.649
1.016
2.212
1,939
251
766
16.146
17.768
1,435
365
875
558
1,582
786
2,931
2,819
896
1.872
758
805
782
666
5,665
898
31,842
1,504
3.868
968
318
587
1.596
4,049
383
1.493
7.547
163
814
4.604
1.529
992
3.265
307
4.704
702
1,158
697
1,352
140
1,658
1.018
2,220
1.957
252
767
16.215
18.141
1.437
366
875
562
1,586
787
2.942
2.821
899
1.878
758
805
787
666
5.687
898
32.031
1.511
3.891
968
318
591
1.603
4.069
385
1.494
4
2
70
38
2
224
11
40
3
33
7
7
6
4
1
10
9
16
14
123
1,104
1
7
218
57
1,024
94
260
21
884
85
139
111
42
10
219
209
654
109
11
118
1,490
1.275
282
107
83
78
271
79
43
620
79
536
28
40
107
67
641
41
3,837
137
402
91
17
146
190
622
21
167
1.223
7
104
1.139
264
6.501
186
617
84
926
168
152
63
146
28
293
124
312
479
52
73
3.089
4,403
177
81
177
82
296
102
482
431
195
322
108
178
115
63
916
150
5.354
366
584
184
33
149
337
578
59
231
4.638
151
646
2.824
1.136
16.873
636
2.094
181
2.429
410
788
477
1.060
95
1.031
629
1,113
1.188
178
516
10.058
8.138
890
145
558
363
879
568
2.232
1,561
547
838
552
388
514
484
3.690
666
16.439
910
2.608
648
255
275
797
2,530
283
910
341
4
42
218
53
3,432
54
169
14
201
20
47
25
75
5
62
18
85
88
10
36
671
2,451
69
13
49
25
86
21
105
128
43
127
48
137
36
35
244
17
4,498
44
143
29
8
3
155
204
9
98
44
6
108
2
1.060
11
78
4
176
12
15
11
23
1
33
25
31
59
9
57
15
KANSAS-'
Wichita
KENTUCKY
42
2
i
Bowling Green
7
53
8
4
1
2
1
2
2
9
2
8
18
1
1
23
52
7
116
142
13
10
4
3
10
15
699
1.307
4
7
3
7
38
16
50
68
17
36
19
51
7
14
120
19
1.470
29
95
9
3
7
96
98
6
73
1
69
373
2
2
1
2
1
1
2
10
2
64
3
5
1
1
3
2
2
1
4
4
1
18
11
15
12
3
9
3
3
44
3
180
15
31
7
1
6
18
15
5
12
11
2
Radcliff
3
6
5
LOUISIANA
22
189
7
23
4
7
20
2
1
See footnotes at end of table.
123
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
LOUISIANA— Continued
Jennings
Kenner
Lafayette
Lake Charles
Minden
Monroe
Morgan City .
Natchitoches.
New Iberia . . .
New Orleans
Opelousas . .
Pineville . . .
Ruston
Shreveport .
Slidell
Thibodaux . . .
West Monroe
Westwego
MAINE
Auburn
Augusta , .
Bangor
Biddeford
Brunswick
Gorham
Lewiston. . . .
Orono
Portland . . . .
Presque Isle .
Saco
Sanford
Scarborough . . .
South Portland
Waterville
Westbrook
Windham .
MARYLAND
Aberdeen
Annapolis
Baltimore
Baltimore City Sheriff.
Cambridge
Cumberland .
Easton
Frederick - . .
Greenbelt . .
Hagerstown .
Hyatlsville
Laurel
Salisbury
Takoma Park (Montgomery County) . . -
Takoma Park (Prince George's County).
Westminster
11.461
74,356
98.181
71,733
13,549
56,646
14,475
16.643
32.841
493,990
18,359
12,271
20,523
198.298
26,391
14.243
14,998
11,827
24,017
20,586
32,249
21,313
21,076
11,951
38.153
10.590
62.736
10.531
15.500
20.780
12.619
23,037
16,767
16,250
13.124
13.815
34,685
739.180
11,833
24,333
10.181
44,169
21,752
38.250
14,553
20.992
21.657
12,748
5.105
14.112
1.053
5,797
9,297
5,575
559
6.602
736
1.078
1.311
49.842
1.616
790
1,960
24.573
2.595
1.451
1.335
1.027
683
1.1%
1.809
1.208
558
191
2.433
121
5.089
375
750
866
444
1.372
972
565
447
840
2.825
92.783
8
972
1,455
816
2,736
1,452
1.778
933
947
3.246
517
438
1,057
5,798
9,341
5.589
559
6.602
737
1,080
1,311
1,617
793
1.961
24.774
2.595
1.485
1.342
1,031
684
1.204
1.819
1.231
563
194
2,457
121
5.146
377
753
866
444
1,372
973
572
453
846
2.875
93.382
8
975
1,456
817
2.760
1
4
424
3
321
33
4
7
II
436
121
9
3
19
637
9
218
313
176
10
107
38
33
44
4.822
35
2
29
981
35
1
7
13
19
3
1
31
1
100
1
3
4
4
11
7
6
3
16
178
11.275
Ih
15
77
63
53
79
36
143
53
28
24
201
587
608
383
92
129
68
3.639
117
II
202
1.585
214
516
90
107
325
4
10
4
12
12
10
9
3
99
247
8.718
1
120
222
77
403
55
169
22
31
347
21
32
177
768
1.780
1.097
75
1.134
189
242
288
10.064
321
134
347
5.003
342
178
137
209
113
239
162
204
66
505
16
1.024
16
141
187
75
109
95
117
494
15.897
195
223
166
378
168
315
171
102
635
101
85
639
3,399
6,250
3,450
370
4.343
441
616
780
21.890
1.064
612
1.340
14.836
1.797
662
1.021
556
519
879
1.515
912
449
107
1.709
98
3,336
338
566
624
339
1,206
822
428
349
565
1,742
42.402
7
616
965
521
1,724
952
1.134
543
676
1.957
282
238
18
787
268
416
210
56
50
116
8,567
71
22
42
1.984
198
48
75
101
39
50
76
38
20
11
67
5
251
16
28
47
12
32
34
33
18
40
142
13.533
29
28
130
208
89
101
147
55
54
124
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994— Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negiigent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS
Agawam
Andover
Arlington
Ashland
Auburn
Barnstable
Bedford
Belchertown
Bellingham
Belmont
Beverly
Boston
Bourne
Braintree
Bndgewater
Brockton
Brookline
Burlington
Cambridge
Chelmsford
Clinton
Concord
Danvers
Dartmouth
Dedham
Dennis
Dracut
Duxbury
East Bndgewater
East Longmeadow
Easton
Everett
Fall River
Fitchburg
Foxborough
Franklin
Gloucester
Grafton
Greenfield
Harvard
Haverhill
Holden
Holliston
Hudson
Hull
Ipswich
Lawrence
Leicester
Leominster
Lexington
Longmeadow
Lowell
Ludlow
Lynn
Maiden
See footnotes at end of table.
27,834
29.999
45,486
12,295
15,365
41,809
13,243
10,769
15,146
25,194
38,684
556,724
16,400
34,452
21,917
89,904
55,714
23,747
94.302
33,003
13,539
17.402
24,877
27,935
24,214
14,154
26,085
14,331
11,453
13.616
20,327
35,367
91,794
39,248
14,901
22,496
29.039
13.348
18,845
12,625
52,584
14.979
13.173
17.562
10,794
12,216
66,016
10,435
38,563
29,528
15,756
100.672
19.172
79,284
54.138
955
895
661
196
643
2.215
244
150
241
314
1.552
53.078
759
1.281
331
5.819
2.226
1.106
5,863
1.083
388
321
1.395
1,468
794
758
1,023
141
297
500
424
1.957
4,427
2,589
312
269
844
161
1,026
61
3.320
225
126
334
326
206
5.817
208
1.826
480
267
7,344
533
6,778
2.284
988
923
665
199
652
2,215
244
173
244
319
1.553
53.882
783
1.291
331
5,920
2,235
1,107
5,871
1,084
396
323
1.397
1,475
843
758
1,032
144
299
501
431
1.990
4.966
2,631
319
269
910
168
1,027
62
3,347
225
128
349
329
226
1,832
484
267
7,429
533
6,845
2.291
85
20
3
453
3
6
2
29
II
4,245
296
59
1
28
9
276
1
17
2
4
3
5
10
3
14
2
12
2
4
1
9
1
4
1
4
2
3
13
66
36
139
43
91
3
2
2
6
6
6
1
17
10
69
3
2
1
370
1
50
1
2
325
1
359
80
34
15
55
70
15
784
34
23
34
78
14
5,881
43
96
23
825
206
64
473
92
9
48
156
61
48
49
15
21
20
15
436
523
514
21
70
117
44
277
5
202
40
2
38
96
759
15
1,364
81
966
418
141
158
129
52
124
522
42
38
64
60
718
6.799
214
163
76
1.269
370
139
774
406
60
60
235
359
73
279
186
25
82
105
105
346
1.020
719
54
19
209
37
154
13
1.036
58
15
79
92
41
1.468
41
571
79
37
1.451
106
1.488
518
643
565
380
63
446
733
150
83
118
147
700
24.375
445
740
194
2.092
1,265
705
3,551
523
202
239
879
782
482
401
489
93
166
314
224
702
2,207
1,027
193
166
423
64
523
43
1,342
107
108
193
106
151
1,302
139
960
383
211
2,557
284
2,173
777
126
146
80
7
36
124
16
5
12
21
106
11,240
46
242
34
1.288
314
188
760
133
27
10
218
154
164
24
289
7
23
56
75
393
497
195
41
10
82
9
43
656
15
1
19
25
5
1.885
II
148
16
16
1.556
58
1.753
469
125
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994— Continued
City by Sate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS— Continued
Marblehead
Marlborough
Marshfield
Medlield
Medford
Medway
Melrose
Methuen
Milford
Millbury
Milton
Nattick
Needham
New Bedford
Newton
North Adams
Northampton
North Andover
North Attleboro
Northborough
Northbridge
North Reading
Norton
Norwood
Oxford
Peabody
Pembroke
Pepperell
Pittsfield
Plymouth
Quincy
Randolph
Raynham
Reading
Salem '
Sandwich
Saugus
Scituate
Sharon
Shrewsbury
Somerset
Somervilte
Southbridge
South Hadley
Spencer
Springfield
Stoneham
Stoughton
Sudbury
Swampscot!
Swansea
Taunton
Tewksbury
Uxbndge
Wakefield
Walpole
Waltham
Watertown
Webster
See footnotes at end of table.
20,551
32.592
22.209
10.721
57.155
10.110
27,999
41.154
25.966
12,522
26.192
31.095
28.058
97.694
82.783
16.208
29,260
23.454
25.698
12,215
13.692
12,230
14.640
29.221
12,890
47,766
15,001
10,290
47,480
47.045
85,132
30.639
10,125
22.971
37.867
15,813
26,292
17.315
15.798
24.727
18.118
72,881
18,244
16.986
11.924
154.694
22,628
27,263
14,633
14,046
15.816
51.102
27.788
10.665
25,300
20.578
57.151
33,921
16,586
346
727
397
140
2.142
133
499
2.148
224
208
358
735
364
4.599
2,234
492
702
562
1,107
181
314
166
303
485
375
2.140
450
192
1.621
1.663
3,307
682
620
298
300
1,791
137
270
693
365
3,033
734
307
254
13.026
530
707
156
473
649
2.129
791
251
555
431
1.652
1,384
679
349
736
411
140
2.156
133
503
2,222
237
209
360
737
370
4666
2,248
506
730
565
1.107
199
317
169
303
485
375
2,145
452
196
1.640
1.710
686
621
298
312
1.798
143
270
694
369
3.051
739
307
257
13.678
535
708
159
473
685
794
252
557
434
1.660
1,386
679
8
4
5
2
124
1
5
1
1
10
39
7
1
II
3
2
240
23
5
10
2
17
3
1
4
4
95
4
1
4
746
5
16
23
50
31
6
377
20
II
76
27
733
171
48
69
43
117
9
61
7
41
43
78
50
61
20
144
112
226
25
42
24
155
8
8
4
30
433
270
34
26
1.652
27
59
1
9
128
243
26
76
16
41
200
207
50
119
131
76
50
359
42
151
225
63
41
90
65
47
1.187
387
104
101
95
147
56
44
32
69
86
104
357
73
45
442
437
883
167
108
71
369
83
231
26
68
158
68
518
165
64
77
2.911
146
138
40
182
122
441
113
53
186
101
363
177
151
185
480
264
71
1.094
60
260
988
104
50
217
528
263
1.707
1.461
296
439
331
720
101
179
94
171
278
157
1,363
284
117
872
944
1,565
302
372
191
181
922
95
183
488
224
1,299
271
168
131
3,996
280
383
110
275
303
1,136
497
107
291
236
919
860
422
18
61
20
12
274
10
52
825
50
31
26
60
25
679
180
31
67
86
101
12
27
33
16
69
26
331
25
9
130
141
512
163
79
22
353
9
446
8
36
680
19
35
14
3.581
71
106
4
2
84
232
146
14
56
45
140
119
44
126
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
arid non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS— Continued
Wellesley
Westborough
Westfield
Westford
Weston
West Springfield
Westwood
Weymouth
Wilbraham
Wilmington
Winchester
Woburn
Worcester
Yarmouth
MICHIGAN
Adrian
Albion
Alpena
Ann Arbor
Auburn Hills
Bay City
Bedford Township
Benton Harbor
Benton Township
Berkley
Beverly Hills
Birmingham
Bloomfield Township
Brownstown Township
Buena Vista Township
Burton
Cadillac
Chesterfield Township
Clawson
Davison Township
Dearborn
Dearborn Heights
Detroit
De Witt Township
East Grand Rapids
East Lansing
Ecorse
Emmett Township
Escanaba
Farmington
Farmington Hills
Ferndale
Flint
Flint Township
Fraser
Garden City
Genesee Township
Grand Blanc Township
Grand Haven
Grand Rapids
Grandville
27,098
14,473
38.472
16,705
10,394
28.053
12.785
55.047
12.871
17.988
20,654
36,698
164.722
21.617
22.685
10.290
11,554
1 10,486
18,716
39,278
10,023
13.130
17.538
16.358
10,526
20,059
43,402
19,221
11.137
27.988
10,349
26.471
13.898
14.990
88,875
59.911
1.022.283
10.675
10.564
48.831
12.016
10.997
13.772
10.037
77.396
24,252
140,225
34,827
14.149
31.670
24,618
25,947
12.494
192.486
16,445
490
373
1,340
177
118
2.346
197
1.500
254
563
262
1.580
11.426
986
1.064
670
455
5,489
1,290
2,285
236
2.810
2.888
355
221
772
1,323
898
1.199
2.214
545
957
432
551
7,370
2,934
121.827
402
369
2,186
651
656
797
420
3,059
1,644
18,412
3,212
689
1,171
1,070
999
879
15,336
640
493
383
1.357
177
118
2,346
202
1.510
254
568
263
1.580
11.565
988
1.065
679
472
5.545
1.305
2,296
236
2,942
2.903
356
225
774
1.327
906
1,212
2.232
548
962
434
553
7.393
2,935
122,672
404
372
2,201
670
663
797
422
3.088
1.652
18.851
3,229
695
1,187
1.078
1.003
880
15.461
1
1
3
23
26
1
1
14
46
3
9
16
3
4
9
2
1
2
1
14
68
668
7
10
5
2
541
42
1.116
7
1
35
10
5
4
3
10
21
202
20
5
3
17
8
3
113
13
21
4
153
19
69
7
189
87
10
1
2
20
12
45
67
1
7
4
5
130
88
12,772
4
5
33
32
16
30
50
1,169
88
II
15
48
15
3
1
47
259
II
17
128
4
124
13
84
7
30
948
59
35
78
21
353
137
227
25
662
176
10
II
22
39
71
123
107
16
20
36
26
444
139
13.042
14
7
83
135
64
6
16
207
196
2.570
119
48
45
102
53
23
1.823
641
17
181
59
277
23
26
411
40
272
55
141
49
285
3.234
301
95
116
61
943
203
420
82
736
491
51
17
57
117
177
198
424
59
154
67
86
617
525
22.156
87
49
244
161
137
35
37
504
238
4,235
316
90
224
288
165
67
3.172
120
277
240
661
129
72
1.282
123
794
126
291
179
976
5.108
581
856
417
343
3,786
775
1.388
112
949
1.935
263
179
648
1,070
501
762
1,443
435
738
301
380
4,828
1.694
42.631
264
303
1.634
203
400
731
344
2.117
949
7,587
2,355
478
792
515
653
755
8.241
464
27
285
53
36
25
273
1.387
28
36
23
14
208
141
142
4
219
171
19
II
40
76
124
57
160
23
37
20
46
1,338
444
29.569
26
4
157
110
34
21
19
191
190
2,591
313
57
91
97
103
27
1,076
127
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN— Continued
Grosse Pointe Farms
Grosse Pointe Woods
Hamburg Township
Hamtramck
Harper Woods
Hazel Park
Highland Park
Holland
Huron Township
Jackson
Kalamazoo
Kalamazoo Township
Kentwood
Lansing
Leoni Township - .
Lincoln Park
Livonia
Madison Heights
Marquette
Melvindale
Meridian Township
Monroe
Mount Clemens
Mount Morris Township
Muskegon
Muskegon Heights
Muskegon Township
Niles
Niles Township
Northville Township
Norton Shores
Novi
Oak Park
Oscoda-Ausable Township
Plymouth Township
Portage
Port Huron
River Rouge
Romulus
Roseville
Saginaw
Saginaw Township
Sault Sle. Marie
Shelby Township
Southfield
Southgate
Sterling Heights
Sturgis
Summit Township
Sumpter Township
Taylor
Thomas Township
Traverse City
Trenton
Troy
Van Buren Township
Warren
10.224
17.692
13.368
17.689
14.707
19.565
20,261
31.700
10,674
38,413
81.786
21,434
39,737
127,551
13,728
41,938
102,040
32.737
22,117
11,190
36,423
23,448
18,783
25,749
41.200
13,708
15,635
12,563
13,107
17.690
22,455
37,472
30.557
14.580
24.163
41.967
34.204
11,295
23,259
51.459
71,182
38,508
14,899
49.720
81,619
30,351
119.090
10.474
21.590
11.128
70,711
11,209
15,518
20,638
79.235
21.469
143,338
265
383
284
2,524
2,024
1.557
3,417
1,914
350
2,686
6,899
1,082
2,271
10,250
495
2.531
3.995
1.841
766
876
1,960
1.121
1,255
1,771
4,999
2,079
964
972
304
499
857
2,025
2,165
253
445
2,370
2,119
1.149
2.240
3,563
7.116
1,391
611
1,670
5,692
1,767
4,367
435
379
320
5,375
364
843
476
3.454
977
7,562
383
285
2.544
2.028
1.576
3.449
353
2.715
6.986
1,086
2,279
10.320
497
2.553
1.848
771
881
1.977
1.132
1,265
1,791
5,032
2,098
974
979
308
503
863
2,026
2.168
255
445
2.389
2.142
1,173
2,251
3,573
7,260
1,401
613
1,680
5.711
1.780
4,401
437
380
322
5,413
370
851
477
3,469
983
7,598
1
24
1
20
58
34
2
73
59
13
19
156
4
51
10
19
23
155
5
13
II
25
21
20
II
4
9
45
3
14
4
5
12
62
141
57
57
328
8
2
84
219
18
33
349
3
76
78
33
2
19
16
62
108
186
90
1
22
4
4
II
10
76
16
58
46
51
61
500
7
2
12
193
26
24
2
7
1
1
4
27
17
223
4
1
II
276
20
187
540
145
18
165
828
99
84
1,098
27
139
162
96
26
45
95
153
141
600
269
25
98
10
18
25
146
167
II
14
69
255
123
159
137
1,391
42
17
78
345
171
292
38
28
12
407
9
43
34
168
42
788
34
34
59
631
109
199
601
116
98
371
1.315
195
285
1,539
78
358
628
192
52
162
281
152
143
361
1,131
414
181
154
52
82
111
218
223
59
48
256
486
259
322
307
1,785
145
67
278
764
180
418
52
95
81
868
52
90
57
425
133
1,132
214
322
198
880
1,616
923
894
1.540
190
1.939
3.963
680
1.734
6.121
361
1,468
2,649
1,274
637
507
1.530
776
760
791
2.808
1. 121
725
629
227
359
679
1.498
1.235
176
336
1.933
1,171
535
1,185
2.720
2.944
1.161
483
1.158
3.272
1.103
3.224
311
230
189
2.915
291
670
337
2.518
672
3,953
7
25
15
571
219
169
980
70
40
48
506
76
116
977
22
483
459
240
35
159
71
64
90
350
242
154
31
48
8
33
28
138
449
5
45
72
97
174
502
312
324
31
29
131
1,084
266
388
21
15
28
1.009
8
25
39
309
101
1.401
128
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN— Continued
West Bloomfield Township
Westland
White Lake Township
Woodhaven
Wyandotte
Ypsilanti
MINNESOTA
Albert Lea
Andover
Anoka
Apple Valley
Austin
Bemidji
Blaine
Bloominglon
Brainerd
Brooklyn Center
Brooklyn Park
Burnsville
Champlin
Chanhassen
Chaska
Cloquet
Columbia Heights
Coon Rapids
Cottage Grove
Crystal
Duluth
Eagan
Eden Prairie
Edina
Elk River
Fairmont
Faribault
Fergus Falls
Fndley
Golden Valley
Hastings
Hibbing
Hopkins
Hutchinson
Inver Grove Heights
Lakeville
Lino Lakes
Mankato
Maple Grove
Marshall
Mendota Heights
Minneapolis
Minnelonka
Moorhead
Mound
Mounds View
New Bnghton
New Hope
New Ulm
Northfield
55,708
86.085
23.100
11,555
30.742
24.561
18.375
17,783
17.383
38.639
22.156
1 1 ,947
41,310
87.068
13,212
28,624
58,670
54,932
19,480
13.905
12,629
11,326
19.201
61,272
25,317
23.944
87.324
54.057
44,043
47.273
12.493
11.355
18.066
12,672
28.172
21,399
16.323
18.382
16.671
12,332
24,431
30,658
10,222
31,953
43,217
12,012
10,414
370.834
51.205
33.437
10.050
13.078
22.381
21,927
13.430
15.545
1,229
4.444
807
739
1.011
1,865
675
560
961
1,245
996
1,318
2,642
4.543
1.268
2,434
3,169
2,769
429
240
485
576
1.207
2,618
706
943
4,238
1,916
1.670
1,623
504
570
1.032
757
1,779
743
598
305
726
469
969
948
209
2,054
1.161
495
265
41.411
1.472
1.882
322
502
750
663
421
609
1,243
4,488
810
741
1,014
1,877
678
562
971
1,283
997
1.324
2,648
4.559
1,272
2,449
3,196
2,785
434
240
486
581
1.225
2,636
712
954
4,284
1,928
1.684
1,627
506
574
1.036
760
1.803
744
599
305
734
472
988
968
209
2,059
1,170
498
267
1,489
1,888
326
510
757
667
421
611
19
9
II
22
14
35
18
22
45
31
10
1
7
14
19
26
15
9
105
24
8
6
II
7
26
23
10
II
13
6
13
4
10
1
4
29
II
16
4
578
8
13
5
4
13
7
92
6
5
10
115
12
3
3
4
3.444
12
9
85
324
66
25
21
249
29
18
29
25
31
26
46
86
28
45
153
34
16
6
25
17
43
42
26
34
242
38
27
17
25
28
14
50
24
15
II
15
12
31
12
6
29
25
22
6
2.990
19
48
7
19
23
26
5
7
155
934
799
2.616
117
577
61
550
118
772
345
77
159
186
210
142
117
318
477
193
279
556
242
69
30
62
66
264
384
95
147
170
272
84
75
155
82
310
158
96
42
88
45
157
141
42
310
168
64
24
8.854
300
180
49
57
138
71
64
95
945
536
346
647
936
752
1.047
2,100
3.572
955
1.842
2.143
2,296
309
182
365
439
770
2.000
537
665
2.981
1.416
1.375
1,267
380
437
760
618
1.242
485
447
229
550
388
680
743
145
1,522
883
373
211
21.279
1,045
1,567
241
375
511
514
326
470
41
558
36
96
86
178
19
26
61
56
58
104
148
310
69
187
197
145
17
16
25
38
78
146
22
65
212
133
80
52
18
26
60
19
141
51
24
15
48
18
86
50
12
152
70
17
16
4,204
88
63
20
45
60
26
129
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994— Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
MINNESOTA— Continued
North Mankato
North St. Paul
Oakdale
Owatonna
Plymouth
Prior Lake
Ramsey
Red Wing
Richfield
Robbinsdale
Rochester
Roseville
St. Cloud
St. Louis Park
St Paul
Savage
Shakopee
Shoreview
South Lake Minnetonka
South St. Paul
Stillwater
Vadnais Heights
West St. Paul
White Bear Lake
Willmar
Winona
Woodbury
MISSISSIPPI
Clinton
Columbus
Connth
Greenville
Greenwood
Grenada
Gulfport1
Horn Lake
Indianola
Jackson
Laurel
Long Beach
McComb
Meridian
Moss Point
Oxford
Pascagoula
Picayune
Ridgeland
Starkville
Tupelo
Vicksburg
MISSOURI
Arnold
Ballwin
Bellefontajne Neighbors
Belton
Berkeley
See footnotes at end of table.
130
10.765
12.817
21.353
20.223
56.048
12.408
13.969
15,687
36,061
14,462
75,550
34,043
50,968
43,702
274,210
12,343
12,410
26,561
10.883
20,551
14,780
12,407
19,548
25,709
18.459
25,572
25.086
23,046
26.250
12,479
44,937
19,441
11.251
65.576
10,695
12,395
200,272
19,051
16,171
11.807
41,738
18,128
10,376
'28,871
11.118
13,003
19,113
32,593
21.704
20.086
24.389
10.982
19.757
12,899
265
467
808
811
1,658
423
512
885
1,971
791
3,309
1,952
2,839
1,913
19,472
402
698
439
294
921
478
335
1,228
928
1,158
1,385
1.039
819
1.595
689
5,764
2,047
1,141
5,965
281
1,375
27,993
2,261
804
814
2,201
1,555
478
2,988
738
946
1,302
2,664
2,615
810
354
494
753
836
268
473
814
812
1.696
423
514
889
1.990
800
3,318
1,962
2,851
1,921
19,815
404
700
444
294
922
479
339
1,230
937
1.169
1,400
1.047
5,812
2,059
28.142
2.272
805
814
1,591
2,995
741
946
1,302
2,664
2,615
811
354
495
756
843
29
6
10
21
II
33
6
55
24
269
6
9
2
6
15
7
2
II
4
32
3
1
82
II
3
56
4
II
207
II
2
7
31
20
6
2
3
65
20
26
17
24
34
872
3
7
3
1
5
25
46
10
126
54
32
184
6
11
1,909
53
8
20
131
50
20
127
16
19
19
61
72
10
4
13
77
20
104
18
88
24
1,560
12
70
15
265
52
163
286
13
68
1,161
298
20
61
89
87
15
156
89
30
104
100
III
115
19
14
28
62
18
69
119
162
255
55
111
136
363
139
634
189
330
268
4,074
55
89
78
48
149
67
44
142
159
165
149
245
213
271
156
1,557
569
257
980
67
551
7,370
473
261
157
506
543
77
642
106
96
150
461
597
I 15
62
81
114
173
227
349
612
607
1.248
329
342
683
1.313
542
2.362
1,618
2,186
1,457
10.642
308
519
332
211
649
353
239
947
675
850
1,177
754
546
1,129
461
3.470
1,256
634
4.072
150
685
12.303
1.311
493
533
1,256
773
354
1,798
488
730
962
1,763
1.564
521
251
321
552
388
17
16
33
28
95
23
47
40
131
59
150
103
154
106
2,026
20
38
20
23
74
16
43
90
73
63
38
31
22
53
43
252
97
50
378
41
48
4,952
110
20
32
184
80
12
237
37
68
55
266
243
32
14
62
38
166
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
neghgent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSOURI— Continued
Blue Springs
Bndgeton
Cape Girardeau
Carthage
Chesterfield
Clayton
Columbia
Crestwood
Creve Coeur
Excelsior Springs
Farmington
Ferguson
Florissant
Fulton
Gladstone
Grandview
Hannibal
Hazelwood
Independence
Jefferson City
Jennings
Joplin
Kansas City
Kennett
Kirksville
Kirkwood
Lebanon
Lees Summit
Marshall
Maryland Heights
Maryville
Mexico
Moberly
OFallon
Overland
Poplar Bluff
Raytown
Richmond Heights
Rolla
St Charles
St. Joseph
St. Louis
St. Peters
Sedalia
Sikeston
Springfield
University City
Warrensburg
Washington
Webster Groves
MONTANA*
NEBRASKA
Beatrice
Bellevue
Columbus
Fremont
Grand Island
See footnotes at end of table.
43,735
17,541
35,634
11,065
40.551
14,048
74,302
11.303
12,115
10,908
12.232
22.402
52.318
10,367
27,047
25.500
18,360
15.261
114,601
37.710
15,814
42.042
439.089
11,280
17,268
27.769
10.269
52.184
12.505
25.713
10,609
11.425
12,682
21.909
18.116
17,830
30,803
10,322
14,569
58.233
73,133
390,437
50,768
20,160
17.910
147,875
40,072
16,073
11,262
23,541
12,467
31.419
20,090
23,929
40,586
1,555
1.373
2.329
385
1.005
703
4.495
686
495
567
557
1.464
1,502
450
987
1,101
1.112
695
8.099
1.796
1.567
2.905
55.112
884
729
774
713
1.472
320
981
218
311
824
902
1.293
1.464
1,213
1.314
593
2,081
5.083
63.839
1.825
1.244
1,338
13.096
3,004
627
459
485
658
1.643
730
1,131
2,959
1,560
1,373
2.337
385
1.008
707
4.512
689
495
568
561
1.465
1.517
451
999
1.108
1.132
697
8.154
1.800
2,925
55,620
884
729
778
716
1,488
320
982
219
312
828
903
1.303
1.489
1,216
1,318
598
2,110
5,126
64,693
1.842
1,244
1.341
13.199
3,027
628
461
489
661
1,646
731
1.132
2,968
6
1
142
13
5
7
9
14
25
1
35
14
9
31
490
5
6
II
9
II
1
3
24
304
II
1
5
74
18
8
2
2
41
4
24
47
20
17
170
36
69
49
3.727
12
1
2
2
4
29
25
49
21
8
32
43
6,025
23
184
140
2
1
40
41
86
12
30
13
280
10
12
16
17
36
32
17
44
66
117
32
460
52
63
166
6,334
132
4
28
36
42
1
48
3
20
109
36
39
48
49
30
25
93
206
8,067
43
66
33
551
139
27
46
19
1
19
3
25
102
243
174
280
90
182
158
589
20
45
93
52
253
202
93
154
317
167
123
1,640
284
424
724
11.958
121
92
114
130
323
49
163
33
92
110
122
124
341
240
95
73
401
879
12.522
194
192
296
2.369
600
98
57
95
1.143
973
1.814
263
747
471
3.326
628
396
432
456
918
1.118
322
668
531
732
414
5,027
1.358
762
1.757
25,109
460
611
560
496
976
259
694
174
183
577
685
1,030
961
749
1,106
459
1,382
3.727
27,744
1.460
932
899
9.317
1,807
468
343
342
61
565
256
1,239
89
576
173
891
350
2,396
89
159
99
15
37
43
166
22
36
20
21
189
103
7
123
50
108
761
52
234
177
7,352
154
15
45
39
101
6
64
6
11
17
49
69
78
117
57
26
152
202
8.929
94
45
65
598
297
24
10
19
31
112
47
37
66
131
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEBRASKA— Continued
Hastings
Kearney
La Vista
Lincoln
Norfolk
North Platte
Omaha
Papillion
Scottsbluff
South Sioux City
NEVADA
Boulder City
Henderson
Las Vegas Metropolitan Police
Department Jurisdiction
North Las Vegas
Reno
Sparks
NEW HAMPSHIRE
Bedford
Berlin
Claremont
Concord
Derry
Dover
Durham
Exeter
Goffstown
Hudson
Keene
Lebanon
Londonderry
Manchester
Merrimack
Milford
Nashua
Portsmouth
Salem
Somersworlh
NEW JERSEY
Aberdeen Township
Asbury Park
Atlantic City
Barnegat Township
Bayonne
Belleville
Bellmawr
Bergenfield
Berkeley Heights
Berkeley Township
Bernards Township
Bloomfteld
Branchburg Township
Brick Township
Bridgeton
23,052
25.230
10,585
200.202
22.090
23,581
344,975
10.988
14.243
10,021
13.963
91,997
752.577
60.603
152.553
61.276
12.828
11,753
13,758
36.338
30,233
25,325
12,068
12,746
14.932
19.945
22.749
12.529
20.201
99.251
22.627
12.044
81.293
21,124
26,294
11,352
17,734
16,446
37,657
12,534
62,467
34,885
12,697
24,887
12.228
38,235
18,394
45.946
11,643
68,106
19,372
803
1,356
355
14,240
1,243
1.581
27,541
294
895
398
471
4,008
58,161
6.494
10,950
4,236
233
138
601
1,539
910
740
215
246
301
439
847
665
429
4,781
480
434
2,557
904
1,891
363
522
1,740
9,151
276
1,924
1,529
324
447
159
727
320
1,856
208
2,050
1,857
804
1.369
356
14,346
1.246
1.595
27.757
296
897
400
471
4,034
58,567
6,551
233
139
604
1,551
938
745
232
250
302
444
863
669
435
4.835
486
440
2,589
914
1,894
364
532
1,742
9,255
278
1,929
1,538
325
449
159
740
325
1,869
210
2,057
1.866
105
18
109
22
7
217
1
1 16
574
64
121
38
4
2
179
5
4
918
3
148
3.805
447
507
92
136
3
13
175
571
126
96
6
23
1
II
17
29
3
993
18
30
2,762
3
26
40
120
4.934
1.160
503
159
106
13
108
38
189
435
20
132
96
14
26
5
31
12
98
3
66
285
101
182
28
2.032
115
217
4,398
29
84
49
99
804
11,657
1,175
1.952
810
37
23
96
246
218
38
25
35
57
95
103
59
55
1.068
61
77
354
144
175
56
658
1.093
301
10.396
1.041
1,283
14.843
248
731
318
293
2,227
29,351
2,691
7,109
2,821
161
97
431
1,177
520
648
176
193
229
286
607
569
328
3,080
397
331
1.847
632
1.224
290
111
306
292
936
827
6.947
62
172
328
1.114
324
694
60
217
68
296
15
126
151
492
46
231
391
864
42
151
493
1.384
435
871
23
38
21
529
42
40
4.370
14
41
18
34
589
7.735
939
737
314
24
4
22
47
128
23
2
15
3
42
27
18
41
414
17
14
270
77
456
8
39
126
335
20
219
312
27
34
12
34
29
393
10
89
140
132
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Bridgewater Township
Bnganline
Burlington
Burlington Township
Camden
Carteret
Cedar Grove Township
Cherry Hill Township
Cinnaminson Township
Clark Township
Cliffside Park
Clifton
Clinton Township
Collingswood
Cranford Township
Delran Township
Denville Township
Deptford Township
Dover
Dover Township
Dumont
East Brunswick Township
East Hanover Township
East Orange
East Windsor Township
Eatontown
Edison Township
Egg Harbor Township
Elizabeth
Elmwood Park
Englewood
Evesham Township
Ewing Township
Fair Lawn
Fairview
Florence Township
Fort Lee
Franklin Lakes '
Franklin Township (Gloucester County)
Franklin Township (Somerset County).
Freehold
Freehold Township
Galloway Township
Garfield
Glassboro
Glen Rock
Gloucester City
Gloucester Township
Hackensack
Haddonfield
Haddon Township
Hamilton Township (Atlantic County) .
Hamilton Township (Mercer County). .
Hammonton
Hanover Township
Harrison
Hasbrouck Heights
Hawthorne
34.769
11,924
10,287
12.682
87.859
19.396
12,288
71,900
14,849
14,932
21,005
73.296
11,013
14.952
23.104
13,419
14,234
25.181
15,007
78.247
17,451
45,139
10,229
73,024
22,856
14,124
91,921
24,994
109.476
17,910
25,103
35,958
34,954
31,203
10.744
10,453
32,575
10,229
15,107
45,755
11,326
25,719
23,759
27,006
16,723
11.186
12.931
55,776
38,236
11,748
15,381
16,305
88,505
12,303
11,890
13,440
11.695
17.824
929
598
566
690
12,237
733
408
3.326
452
312
436
2,574
144
867
514
524
210
1.656
493
3,464
288
1,528
304
7,369
549
773
3,319
1.551
9.219
739
1.381
932
1,727
612
393
202
1,052
143
446
1,831
673
862
823
903
1.165
150
360
1.882
2,114
263
728
1.176
2,386
374
187
773
341
301
929
603
572
693
12.560
733
418
3.334
457
312
436
2.580
145
878
516
525
210
1,659
493
3,489
289
1,530
306
7,465
553
775
3,335
1.572
9.241
741
1,388
950
1.739
612
393
203
1,058
143
449
1,846
676
863
827
903
1,168
150
362
1,894
2.116
266
737
1,192
2.400
379
187
776
341
301
45
12
5
38
13
1.481
36
3
74
17
9
48
1
10
3
1.258
4
81
42
921
20
80
9
34
21
13
4
21
2
5
53
32
5
5
19
36
1
22
43
102
5
15
13
65
II
1
17
37
53
31
1.351
26
35
23
63
4
44
19
39
19
55
18
91
13
35
12
764
19
12
67
77
384
10
97
24
53
26
21
18
68
3
63
6
32
52
33
3
7
91
119
3
31
126
63
23
II
115
126
99
109
3.608
173
63
544
94
35
107
474
41
184
61
86
16
241
118
809
39
188
14
1.688
79
60
657
259
1.865
85
287
327
280
85
129
439
46
152
411
70
50
213
166
247
42
76
299
200
36
122
209
520
78
16
104
42
34
697
408
309
486
3,727
391
282
2,207
261
246
259
1,354
91
445
385
346
160
1,116
297
2,353
223
1,185
244
2,158
404
648
2,057
1.081
3,924
550
767
510
1,077
429
171
142
413
89
226
1.114
473
746
522
506
755
98
222
1,241
1,359
203
500
741
1,382
238
136
344
228
229
87
17
62
50
1,938
99
22
443
67
21
45
600
8
159
40
40
13
216
49
149
II
101
30
1.434
40
43
456
81
2,073
72
145
51
268
48
58
9
106
3
40
160
23
55
45
159
72
5
33
175
321
13
58
71
340
21
23
253
65
19
133
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Hazlet Township
Highland Park
Hillsborough Township
Hillside Township
Hoboken
Holmdel Township
Hopatcong
Hopewell Township
Howell Township
Irvington
Jackson Township
Jefferson Township
Jersey City
Keansburg
Kearny
Lacey Township
Lakewood
Lawrence Township
Lincoln Park
Linden
Lindenwold
Little Egg Harbor Township
Little Falls Township
Little Ferry
Livingston
Lodi
Long Branch
Lower Township
Lyndhurst Township
Madison
Mahwah Township
Manalapan Township
Manchester Township
Mantua Township
Manville
Maple Shade Township
Maplewood Township
Marlboro Township
Medford Township
Metuchen
Middlesex
Middle Township
Middletown Township
Millburn Township
Millville
Monroe Township (Gloucester County) .
Monroe Township (Middlesex County) .
Monlclair
Montgomery Township
Monlville Township
Moorestown Township
Morrislown
Morris Township
Mount Holly
Mount Laurel Township
Mount Olive Township
Neptune Township
Newark
22,874
13,115
30,811
21,482
34.084
12.002
15.981
11,850
40,582
62,217
34.049
18.370
231.028
11.645
35,642
22.684
46,154
26,367
11,274
36.970
18.148
13.659
11.799
10,127
27,130
22.795
28,710
21.203
18.968
15,887
18.598
27,808
36,858
10,508
10.732
19.563
22.076
29.118
20,903
12.991
13.231
15.042
70.973
18.994
26.562
27.859
23.067
38.469
10.280
16,076
16,411
16.169
20,562
10,833
30.825
21.933
29,298
271,025
281
298
488
1,721
2.399
295
255
191
791
7,133
1.644
240
18.758
447
2,254
564
2,944
1,831
181
1,807
1.048
449
728
247
1.161
849
2.266
789
667
276
386
403
367
385
230
481
461
348
347
672
1,094
809
1.868
888
310
2.148
187
366
579
1,014
333
825
806
361
1.881
37.475
284
303
489
1,725
2.400
296
255
191
804
7,158
1,657
243
18,842
448
2,260
581
2,956
1,834
182
1,810
1,054
456
729
247
1,162
851
2,282
796
669
276
387
404
379
397
230
777
1.091
493
474
353
351
673
1,097
809
1,877
898
313
2.149
188
371
585
1,016
334
831
810
365
1.892
37,721
4
2
2
141
73
4
931
12
1
2,240
5
91
2
140
17
1
77
71
2
12
2
7
17
113
II
96
4
5
207
73
5,775
23
II
6
59
178
13
18
18
33
601
31
12
1.958
42
19
98
55
8
70
68
24
34
II
15
22
174
22
12
4
6
20
19
18
4
48
43
16
15
9
10
22
32
7
207
26
12
167
8
I
18
63
14
95
19
15
103
4.331
59
53
134
272
367
46
36
51
162
1.450
155
55
4,285
86
324
112
672
184
15
286
253
123
82
42
112
136
544
107
55
34
57
70
70
84
39
135
183
97
88
83
26
148
194
109
444
268
84
460
43
61
98
126
53
155
229
87
513
6,438
167
219
338
739
1.321
225
189
107
541
2.010
1,410
160
6.477
288
1,403
421
1.774
1.167
144
1,022
478
284
419
162
841
536
1.249
609
442
226
290
288
255
254
180
409
513
344
333
230
280
463
795
514
1,028
482
191
987
132
274
377
679
225
452
451
230
1.102
11.163
28
Id
496
455
15
49
2,061
32
12
3.687
17
350
10
234
397
II
345
177
30
185
135
160
31
142
10
29
21
12
21
7
146
299
19
18
20
23
15
55
169
95
95
19
426
3
28
66
57
34
47
89
17
85
9.465
134
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
Cily by Slate
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
New Brunswick
New Milford
New Providence
North Arlington
North Bergen Township
North Brunswick Township
North Hanover Township
North Plainfield
Nutley
Oakland
Ocean City
Ocean Township
Old Bridge
Orange
Palisades Park
Paramus
Parsippany-Troy Hills Township
Passaic
Paterson
Pemberlon Township
Pennsauken
Pennsville Township
Pequannock Township
Perth Amboy
Phillipsburg
Pine Hill
Piscalaway Township
Plainfield
Plainsboro Township
Pleasantville
Point Pleasant
Pompton Lakes
Princeton
Princeton Township
Rahway
Ramsey
Randolph Township
Raritan Township
Readington Township
Red Bank
Ridgefield
Ridgefield Park
Ridgewood
Ringwood
River Edge
Rockaway Township
Roselle
Roselle Park
Roxbury Township
Rutherford
Saddle Brook Township
Sayreville
Scotch Plains Township
Secaucus
Somers Point
Somerville
South Brunswick Township
South Orange
42.841
16.249
11,761
14.117
50.030
32.429
10.176
19,281
27,631
12,152
15.719
26.082
58.538
30,512
14,598
25.003
49.964
57,570
140,854
31,917
36.015
14,046
13.236
41,793
16,034
10.006
48,809
45.841
14,730
17,254
18,389
10,861
12,133
13.493
25.926
13,887
20.585
15.902
13.645
10.676
10.062
12.756
24,649
12.969
10,903
20,171
20,913
12,865
21,054
17,982
13,810
35,894
21,600
14,962
11.506
11.980
26,733
16,710
4.152
275
108
430
2.453
1.315
69
981
648
1.575
1,196
1.580
3.152
274
3,530
1,397
3,702
9,915
929
2,231
361
258
3,018
425
363
1,433
3,410
349
1,222
475
186
655
236
1,004
333
325
312
177
528
199
227
294
113
201
972
739
293
401
337
423
990
446
1,224
392
521
647
1.159
4.164
275
110
430
2.458
1.317
70
983
673
91
1.577
1.199
1.591
3.171
274
3.558
1,399
3.711
10,088
950
2.247
363
258
3,041
425
383
1,439
3.423
350
1,232
477
186
655
236
1,005
333
326
312
178
531
200
227
295
113
201
977
748
293
401
337
423
999
447
1,224
395
524
650
1.160
113
33
24
21
21
385
II
27
9
370
1.053
24
140
6
1
132
7
30
356
1
83
1
6
5
1
52
7
41
53
1
32
25
57
226
10
77
44
251
853
96
59
13
17
210
27
19
101
327
12
159
17
5
13
10
41
1.130
57
8
77
632
233
17
229
170
19
328
235
307
674
95
220
333
632
2,642
522
33
38
884
96
70
306
934
60
267
92
22
108
52
190
43
38
45
38
56
40
46
63
17
47
79
137
86
54
42
41
197
97
66
95
71
138
172
2.288
186
83
279
1.110
874
35
609
334
65
1,173
876
1.026
1,048
113
2,422
858
1,750
3,797
430
945
301
190
1,492
273
229
881
1,393
240
607
354
146
519
165
572
247
275
236
121
427
114
132
203
90
132
781
438
139
290
223
286
562
280
813
252
392
427
524
313
10
13
52
523
138
10
74
77
14
38
168
798
45
782
130
671
1.503
69
564
7
12
286
27
35
109
376
35
92
9
5
10
5
147
33
6
16
9
19
34
38
14
4
68
94
54
35
51
72
122
37
300
15
27
62
387
135
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thefl
Motor
vehicle
theft
NEW JERSEY— Continued
South Plainfield
South River
Sparta Township
Springfield
Stafford Township
Summit
Teaneck Township
Tenafly
Tinton Falls
Tolowa
Trenton
Union City
Union Township
Ventnor City
Vernon Township
Verona
Vineland
Voorhees Township
Wallington
Wall Township
Wanaque
Warren Township
Washington Township (Gloucester County)
Washington Township (Morris County) . . .
Waterford Township
Wayne Township
Weehawken Township
West Caldwell
West Deptford Township
Westfield
West Milford Township
West New York
West Orange
West Paterson
West Windsor Township
Westwood
Willmgboro Township
Winslow Township
Woodbndge Township
Woodbury
Wyckoff
NEW MEXICO
Alamogordo
Artesia
Clovis
Deming .
Farmington
Gallup
Hobbs
Las Cruces
Portales
Rio Rancho
Roswell.
Silver City
20,939
13,845
15,434
13.699
13,651
19,759
39,291
13.428
13,232
10.394
88,748
57,869
51,066
11,121
21,600
13,863
55.250
25.461
10.868
21.072
10.024
11.581
43.775
16.068
11.341
49.133
12.797
10.626
20.217
29.368
26,569
37,884
39,869
11,335
16,381
10,425
36.958
31.192
96.488
11.091
28.812
11.850
34,924
12,559
37,851
21.048
30.700
69.490
11,785
38.024
47.604
11.722
960
259
231
467
532
661
1.164
203
395
436
6,977
3,263
2,817
651
438
343
4,194
1,237
304
428
149
201
1,477
176
320
2,783
799
226
639
612
459
1,974
1,751
512
486
255
1,363
1,011
4,341
757
1,375
513
1.951
875
2.196
2,869
2,520
6,857
651
1.077
3,938
740
964
260
232
468
532
661
1,185
205
395
'.37
7,007
3,278
2,832
655
439
344
4.221
1.249
304
432
149
206
1.483
177
323
2,791
802
227
650
614
462
1,985
1,762
517
488
256
1,372
1,019
4,367
758
157
1,376
516
1,968
881
2,218
2,875
2,524
6,899
655
1,085
3.971
753
7
42
7
14
10
650
287
142
3
152
42
9
3
9
6
3
127
89
12
2
5
46
31
78
32
10
6
23
5
18
54
31
124
5
9
33
4
806
285
77
24
19
9
230
17
7
10
25
47
8
29
12
13
90
48
19
8
19
114
149
346
37
81
26
156
60
250
222
399
503
21
102
316
52
117
53
50
37
116
115
215
55
86
52
1.584
690
434
188
59
67
931
142
46
84
37
34
363
36
195
139
25
128
113
110
489
308
87
59
31
242
247
591
137
209
94
475
250
496
304
545
1,402
321
244
740
163
168
259
379
437
735
124
264
292
2,528
1,397
1,392
421
346
221
2.588
897
206
316
85
145
950
128
175
2,000
443
179
431
455
309
924
862
283
334
189
818
488
2,519
492
1,032
374
1,224
517
1,344
2,119
1,467
4,391
268
635
2,534
513
74
18
6
135
24
80
97
13
20
66
1,314
591
765
10
11
43
252
132
36
12
11
22
97
537
138
14
40
23
20
338
443
110
81
11
114
87
786
55
36
13
60
40
41
153
43
372
26
64
126
25
136
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK
Albany
Amherst Town1
Auburn
Batavia
Beacon
Bedford Town
Bethlehem Town
Binghamlon
Blooming Grove Town
Brighton Town
Buffalo
Camillus Town and Village
Canandaigua
Carmet Town
Cheeklowaga Town
Cicero Town
Clarkstown Town
Clay Town
Cohoes
Colonie Town
Corning
Cortland
Cortlandt Town
Depew Village
Dewitt Town
Dobbs Ferry Village
Dunkirk
East Aurora-Aurora Town
Eastchester Town
East Fishkill Town
East Greenbush Town
East Hampton Town
Elmira
Endicolt Village
Evans Town
Fallsburg Town
Fishkill Town
Floral Park Village
Fredonia Village
Freeport Village
Fulton
Garden City Village
Gates Town
Geddes Town
Geneva
Glen Cove
Glens Falls
Glenville Town
Gloversville
Greece Town
Greenburgh Town
Hamburg Town
Hamburg Village
Harrison Town
Haverstraw Town
Hempstead Village
Irondequoit Town
Ithaca
See footnotes at end of table
100,037
107,238
31,056
16.505
13,526
17.081
27,839
52,225
11.888
34.814
324,354
23,871
10,993
29,117
94.494
23,870
77.345
54,889
16.996
72,915
11.895
19.908
28,664
17,993
22,031
10,105
14.030
13,572
18,729
22,330
14,221
14,135
33,780
13.652
15,405
10.772
15.860
16,122
10,401
40,435
13,245
21.688
28.880
11.073
14.364
24,212
14,255
21,634
17,082
91,048
41,002
40,815
10,547
23.364
23,515
49,157
52,924
29.485
8.648
1.102
814
415
269
708
3,103
154
1.151
30.983
342
349
439
3.689
429
2,260
601
443
3,829
861
1,060
304
566
1.101
231
740
287
411
319
362
543
2.023
742
428
419
234
199
340
1,671
699
597
1,019
282
635
382
1.080
474
881
2.863
1,507
1.884
262
497
461
1,933
2,537
2.067
8.707
1.107
823
272
3,112
1.152
31,503
342
352
446
3.712
432
450
3.836
1.064
309
231
743
289
411
2,038
745
422
205
1,686
702
597
283
637
385
1,084
1,513
498
463
1.964
2.545
90
3
14
2
1
280
2
II
542
69
29
II
20
6
72
1
20
3.269
2
3
90
24
1
33
6
3
3
1
11
5
176
5
10
34
3
12
16
5
2
6
34
39
32
4
3
178
51
40
3.251
4
5
17
198
25
136
3
78
26
49
25
40
37
14
21
27
10
30
6
34
38
46
17
16
7
14
114
7
2
35
II
230
31
37
81
31
188
23
5
60
302
14
15
2,227
236
154
86
89
42
143
336
34
118
7,289
43
38
81
517
63
279
94
104
387
72
146
58
83
158
33
147
40
37
85
58
190
309
92
67
223
26
34
33
238
93
63
133
47
79
65
146
108
139
283
187
283
30
90
95
347
268
354
4,502
2,214
850
705
206
216
527
2,592
110
944
12,243
282
295
330
2,401
326
1,653
503
224
3.220
715
850
192
396
866
166
522
223
291
217
256
330
1,602
585
277
155
178
116
272
947
572
431
747
225
502
221
678
309
635
2,234
1,025
1,193
197
321
277
958
2,078
1,604
539
246
12
4
15
13
7
66
4,561
11
6
10
472
15
161
27
137
13
22
9
39
51
13
12
67
11
14
15
22
20
35
18
11
29
15
185
10
84
95
5
65
20
22
54
216
218
183
12
75
25
123
117
51
137
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK— Continued
Jamestown
Johnson City Village
Kenmore Village
Kent Town
Kingston
Lackawanna
Lancaster Village
Lockport
Long Beach
Lynbrook Village
Mamaroneck Town
Mamaroneck Village
Manlius Town . .
Massena Village
Middletown
Mount Pleasant Town
Mount Vernon
Newburgh
Newburgh Town
New Castle Town
New Hartford Town and Village
New Paltz Town and Village
New Rochelle
New Windsor Town
New York
North Castle Town
North Greenbush Town
North Tonawanda
Ogden Town
Olean
Oneida
Oneonta
Orangetown Town
Orchard Park Town
Ossining Village
Oswego
Peekskill
Pittsburgh
Port Chester Village
Port Washington Village
Poughkeepsie
Poughkeepsie Town
Ramapo Town
Riverhead Town
Rochester
Rockville Centre Village
Rome
Rotterdam Town
Saratoga Springs
Saugerties Town
Schenectady
Schodack Town
Shawangunk Town
Southampton Town
Southold Town
Spring Valley Village
Stony Point Town
Suffern Village
34,617
16,585
16.937
13,319
23,015
20,500
12,733
25.171
34,381
19,511
11,524
17,567
30.976
12.106
24,645
25,313
67,271
26.218
24.308
16.821
19.922
11.505
67.801
23,176
7.336,224
10.165
11,003
33,866
17,087
17.261
11.276
13.315
35,198
24.888
22,999
19,055
19.900
20,842
24,572
14,929
29,157
39.692
63.756
23,251
234,938
24,978
45.288
28.690
26.098
14,703
65,610
10.454
10.185
37.511
17,950
22,030
12,947
11,480
1.827
1.159
435
224
1.164
889
197
1.435
901
353
338
598
579
198
1.327
391
4.105
1.782
1.256
147
1,083
421
2,831
623
530,120
160
162
845
318
746
486
399
847
786
688
816
887
503
1.080
376
1,789
1.808
1,587
1,048
22.585
506
1,050
1,232
1,459
386
4,099
191
139
1.890
410
1.352
98
216
435
227
1,164
895
1,442
924
353
338
598
198
1.340
1.809
147
1.090
161
162
849
851
789
692
503
1.081
379
1.808
1.811
1.055
23.031
511
1.062
1,242
1.466
388
4.133
191
1,905
411
98
216
1.561
4
439
206
16
1
6
4
131
13
72,540
4
1
7
1
15
6
6
23
6
43
5
32
51
6
156
21
22
33
1,668
15
20
II
95
79
23
I
76
258
18
226
90
9
2
7
14
14
100
16
380
203
33
2
81
83
89
59.755
4
18
10
13
34
5
21
64
29
58
167
72
53
5
111
68
24
202
837
19
36
3
264
13
376
13
23
110
2
81
4
7
329
171
90
60
105
121
51
290
164
81
44
80
80
52
198
73
885
559
151
26
90
57
478
98
88,370
25
37
173
46
112
77
80
153
113
149
154
138
43
114
47
462
211
350
290
5,339
54
279
197
193
86
1.231
51
35
535
125
177
17
35
1.287
866
267
147
891
363
123
801
469
203
208
405
465
129
920
251
1,453
718
1,006
101
961
270
1.726
401
209.808
121
99
598
251
576
374
289
566
580
397
632
491
375
760
288
942
1.441
1.142
470
12.388
395
638
955
952
260
2.008
115
74
1.106
277
912
73
163
68
18
39
II
54
109
5
73
145
51
81
89
16
2
39
46
917
76
46
17
18
9
402
20
95,420
6
7
56
7
2
20
3
40
57
31
25
57
10
101
28
97
57
43
46
2,146
22
62
66
37
25
185
9
5
109
80
3
5
138
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
jssdllll
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK— Continued
Syracuse
Tarrytown Village
Tonawanda
Tonawanda Town
Troy
Ulster Town
Utica
Vestal Town
WalHull Town
Warwick Town
Watertown
Watervliet
Webster Town and Village
West Seneca Town
White Plains
Yonkers
Yorktown Town
NORTH CAROLINA
Albemarle
Asheboro
Asheville
Boone
Burlington
Cary
Chapel Hill
Charlotte-Mecklenburg5
Concord
Durham
Eden
Elizabeth City
Fayetteville
Garner
Gaslonia
Goldsboro
Graham
Greensboro
Greenville
Havelock
Henderson
Hickory
High Point
Jacksonville
Kannapolis
Kernersville
Kinston
Laurinburg
Lenoir
Lexington
Lumberton
Matthews
Monroe
Mooresville
Morganton
New Bern
Newton
Raleigh
Reidsville
See footnotes at end of lable.
163.374
11.609
17.476
65.966
54,332
12.456
67.069
27,01 1
23,256
15.664
28,955
10.938
31.968
48.330
49.662
186.679
33.815
16.056
17,283
64,939
13,342
43.388
53,655
44.693
527.121
29,573
145.749
15.729
16.008
79,273
16,572
59.028
44,062
11,487
196,424
48.299
22,123
16,324
29.658
73,172
32,661
31,682
11,764
26,134
12,712
14,709
17,571
19,598
14,734
17,965
10,541
15.958
18.348
10.525
228,090
12,652
10,643
315
504
1,605
2,883
772
3,193
435
533
185
1.376
345
829
1,316
2.535
8.724
659
1.729
1.490
5.808
545
2.154
2.102
2,734
51,057
1.778
15.550
1,151
1.355
10.482
876
5.702
4.294
716
16.998
5,131
607
1,908
3,271
6,977
3,125
1.182
937
2,430
1,229
1,212
1.711
2,348
543
1,769
715
1.146
2,406
771
16,522
1.180
10,731
316
1.608
2,890
774
436
536
185
346
833
1,319
2,539
8.785
660
1.737
1,493
5.816
545
2,163
2.132
2.743
51.477
1.786
15.633
1.156
1.357
10.522
888
5,735
4,306
717
17.123
5.161
612
1,933
3,298
7,033
3,147
1.196
951
2.453
1,237
1,223
1.728
2,365
549
1.777
717
1.147
2,411
775
16,609
1,185
11
350
5
78
582
7
8
34
118
9
127
1
13
2
23
5
6
868
4
29
170
89
28
78
2,713
44
848
37
40
488
14
235
158
II
767
204
71
176
326
18
118
39
25
56
66
10
37
28
18
110
19
825
39
578
13
47
78
78
45
37
7
12
6
10
71
67
427
5
92
79
350
19
173
66
173
5,952
142
768
64
124
1,249
21
481
424
70
1,130
268
44
184
209
673
153
69
81
259
74
108
114
112
45
94
47
51
217
28
1,226
124
2.945
41
71
199
756
89
680
47
36
40
230
58
97
147
192
1.624
74
337
327
1.181
79
459
370
451
10.326
376
4,729
259
309
2.183
155
1.173
809
146
3,245
1.458
151
559
572
1,896
779
349
168
449
297
281
390
656
125
382
90
214
595
159
3,546
204
5.680
219
338
1,171
1,739
603
2.203
364
453
130
1.043
250
664
897
1.973
3.871
557
1,223
972
3,652
424
1,338
1,552
1,918
28,469
1,121
7,918
730
840
5.810
645
3.504
2,669
448
10,787
2,908
388
996
2,158
3,596
1.963
643
627
1.487
754
738
1,044
1.346
335
1.184
526
802
1,385
535
9.791
762
784
34
39
118
169
16
113
15
18
7
15
20
49
167
237
1.879
18
45
79
407
21
81
75
101
3.160
84
1.174
57
34
649
37
268
201
38
959
252
13
78
126
436
112
70
38
100
55
50
94
157
22
58
21
51
81
28
1.015
44
139
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NORTH CAROLINA— Continued
Roanoke Rapids
Rocky Mount
Salisbury
Sanford
Shelby
Tarboro
Thomasville
Wilmington
Wilson
Winston-Salem
NORTH DAKOTA
Bismarck
Dickinson
Fargo
Grand Forks
Jamestown
Mandan
Minot
West Fargo
Wilhston
OHIO
Akron
Alliance
Amherst
Ashland
Ashtabula
Athens
Avon Lake
Barberton
Bay Village
Beachwood
Beavercreek
Bedford
Bedford Heights
Bellefontaine
Berea
Bexley
Blue Ash
Bowling Green
Brecksville
Broadview Heights
Brooklyn
Brook Park
Bucyrus
Canton
Centerville
Chillicothe
Cincinnati
Cleveland
Cleveland Heights
Columbus
Conneaut
Cuyahoga Falls
Dayton
Delaware
Delhi Township
16,669
52,121
24.266
15.592
15.964
11,336
16.923
61.522
38.624
149.745
51.642
16.365
77.603
49.642
15.391
15.350
34,662
12,739
13,114
225.262
23,797
10.829
20.698
21.895
21,293
16.048
28.089
16.993
11,182
36.050
14,933
12,111
12,651
19,126
13,554
12,170
27,634
12,149
13.052
11,327
22,645
13,374
85.410
21,729
22,338
366.953
506.230
53,697
647,860
13.318
56,846
184,534
21,310
30,945
1.158
5.967
2.654
2,349
1,712
890
1,433
6.881
4,594
19,468
2.236
470
3.749
2.751
396
559
1.384
431
469
16,000
2.563
420
528
826
624
185
1.488
146
466
1.597
625
460
372
529
494
487
908
119
187
568
1.112
749
7,882
669
1.748
29,403
37,745
1,361
56,343
272
1.936
17.649
1,021
750
1.164
5,980
2.664
2.354
1.719
896
1,443
6,943
4,61o
19.696
2,237
474
3,761
2,758
406
563
1.397
436
472
16.188
2.578
420
532
854
626
185
1,501
148
468
1,634
625
460
372
533
494
491
915
119
188
568
1.124
752
7,972
677
1,758
29,893
38,514
1,361
57,378
273
1,948
17,941
1,035
751
38
132
1
100
1
28
10
14
4
3
1
32
29
142
195
22
4
II
382
749
I
679
1
22
250
12
3
33
260
76
71
79
16
49
233
209
969
3
8
3
28
29
24
16
8
1
13
3
15
10
2
1
5
II
18
5
602
4
28
2.131
3,924
29
3.599
2
31
1,343
16
10
38
363
190
112
176
112
69
405
304
1.528
1.134
105
29
1
153
10
3
6
4
58
10
6
3
5
16
3
3
1
II
31
572
10
45
2.304
2.939
II
2.383
3
93
849
24
7
191
1.456
786
459
471
193
395
1.605
1.287
4,905
3,042
403
26
47
140
87
28
204
40
45
205
44
63
75
117
87
90
116
13
22
17
129
170
1.666
144
263
6.020
8.007
128
13.086
50
207
3,939
189
43
851
3,593
1,467
1,591
915
547
867
4,196
2,504
10.665
318
1.768
17
433
332
3,146
188
2,269
44
314
38
430
157
1.128
82
312
33
408
8,740
1.805
358
463
559
474
143
967
91
371
1,318
476
205
265
362
340
373
715
94
138
409
700
510
4.137
466
1.326
16.796
12,931
982
29,776
209
1.469
8.703
736
681
42
259
117
97
62
16
51
408
254
1.218
105
13
180
200
25
39
63
28
19
2,054
160
21
16
81
28
II
109
4
36
40
89
109
10
26
32
12
41
128
245
24
807
43
75
1.732
9.063
209
6.720
7
112
2,508
44
6
140
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OHIO — Continued
Dover
Dublin
East Cleveland
Eastlake
Englewood
Euclid
Fairborn
Fairfield
Fairview Park
Forest Park
Franklin
Fremont
Gahanna
Garfield Heights
Girard
Goshen Township
Grove City
Hamilton
Hilliard
Huber Heights
Jackson Township
Kent
Kettering . . . ,
Lakewood.?
Lancaster1
Lebanon
Liberty Township.
Lima
Lorain
Loveland
Lyndhurst
Madison Township (Lake County)
Madison Township (Montgomery County)
Mansfield
Maple Heights
Marietta
Marion
Marysville
Mason
Massillon
Maumee
Mayfield Heights
Mentor
Miamisburg
Miami Township
Middletown
Newark
New Philadelphia
Niles
North Canton
North Olmsted
North Ridgeville
North Royallon
Norton
Norwalk
Norwood
Oregon
Oxford
Parma
See footnotes at end of table.
11,717
18.177
32,204
21.287
11.620
54.563
31.599
41.416
17.865
18,989
11.566
18,181
31,200
31,466
11.608
12.987
21.088
64.295
13.688
40.348
32.807
28,914
60.592
59,236
35,601
11.082
13,450
45.575
72,007
11,035
15,982
18,366
21,077
53,616
26,776
15.238
34.752
10.462
12.149
31,428
15,905
19.253
49.592
18.107
23.056
47.667
45.304
16.048
21.553
14.973
34.445
22,146
25.465
11.856
15.155
23.348
18.412
18.952
87.267
357
718
2.724
668
538
3,053
1.002
2.340
566
1.001
445
1.487
831
933
253
182
774
5.197
549
1,542
1,255
1.200
2.314
1.344
618
462
4,551
2.204
399
212
535
1.048
5,176
1.258
595
2.639
244
383
1,528
786
557
1.628
1.005
731
2.887
2.701
441
970
326
1.128
338
572
398
466
1.448
1.246
711
2.510
358
721
2.724
675
540
3.061
1.004
2.349
566
1.007
445
1.490
837
940
263
183
778
5.247
551
1,552
1.264
1.223
2.335
1.353
625
471
4,600
2,214
407
212
547
1,058
5.201
1.265
603
2.653
246
384
1.528
560
1.632
1.012
745
2,921
441
970
329
1.128
339
572
469
1.452
1,252
303
15
2
101
10
35
9
35
3
34
21
43
9
1
15
246
7
33
22
20
38
54
17
3
21
199
80
1
3
2
34
148
42
6
40
1
4
5
220
18
3
149
9
7
6
43
6
51
2
10
22
602
22
1
1,083
71
5
2
33
32
1,130
13
13
36
12
2
48
58
2
21
16
80
403
22
93
44
165
468
74
33
400
118
403
91
59
106
207
133
144
43
56
68
1.078
95
217
183
240
309
163
228
128
76
1.038
710
55
40
149
170
1,139
168
79
590
27
77
336
75
68
184
161
111
641
414
32
120
77
112
61
79
101
52
203
161
185
497
294
503
664
495
459
2,124
790
1,631
411
851
306
1,072
611
507
177
103
634
2,767
399
1,143
933
777
1.755
943
1.332
434
286
1.990
1,105
319
156
320
646
2,498
862
475
1,896
189
295
972
610
409
1.261
716
581
2.005
1.608
371
603
216
830
223
440
257
400
1.093
890
468
1,550
10
31
990
60
40
360
51
113
45
39
21
125
48
171
18
6
32
412
32
116
85
72
156
168
77
25
75
187
192
13
II
27
158
200
169
16
66
15
4
121
33
69
138
91
25
77
176
8
119
18
134
27
43
26
11
57
104
19
339
141
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OHIO — Continued
Parma Heights
Perkins Township
Perrysburg
Perry Township
Piqua
Poland Township
Portsmouth
Reading
Salem
Sandusky
Seven Hills
Shaker Heights
Sharonville
Solon
Springdale
Springfield
Springfield Township (Hamilton County)
Stow
Streetsboro
Strongsville
Sylvania Township
Tallmadge
Tiffin
Toledo
Troy
Twinsburg
Union Township (Butler County)
Union Township (Clermont County) . . .
University Heights
Upper Arlington
Vandalia
Van Wert
Vermilion
Wadsworth
Warrensville Heights
Washington Court House
West Carrollton
Westerville
Westlake
Wickliffe
Willoughby
Willowick
Wilmington
Wooster
Worthington
Xenia
Youngstown
OKLAHOMA
Ada
Altus
Ardmore
Bartlesville
Bethany
Bixby
Broken Arrow
Chickasha
Claremore
Del City
21.638
11,039
13.161
31.003
20.877
11.253
22.846
11,871
12.832
30.263
12.252
31.036
13.970
19.586
10,704
70.938
39.394
28.867
10.301
37,840
23,203
15.286
18.664
331.744
20.220
10.769
40.616
34,134
14,780
36,089
13.922
11,292
11,443
16.450
16.107
13,280
14.683
32,740
28.825
14.251
21,427
14,999
11,545
22,666
15,312
24.700
95.080
15,794
22,223
23,584
35,004
20.509
10.548
63,766
15,348
14.485
24.153
624
493
403
1,029
1.035
144
2.108
384
124
2,701
90
1.165
897
327
1,325
7.603
1.561
734
392
774
1.126
622
714
30,290
836
234
1,375
2.302
288
842
540
676
335
367
732
540
611
1.030
522
310
745
282
753
1,045
548
1,456
7.598
868
1.320
2,631
1,901
955
190
2,210
1,054
599
1,373
633
493
403
1.037
1.045
144
388
2.704
92
1.175
901
328
1.331
7.651
1.575
742
396
787
1.129
634
717
30.834
842
235
1.386
2,316
291
858
547
684
336
367
742
540
618
1,048
525
311
745
282
754
1.045
551
1.461
7.910
880
1.327
2.639
1.908
956
191
2,218
1.070
612
1,380
54
2:
96
23
2
3
3
3
1
5
356
15
55
79
19
2
29
297
54
7
9
13
14
1.735
15
29
853
20
4
4
80
7
4
124
II
11
80
7
18
12
7
3
918
88
4
4
24
36
1.533
18
3
32
6
21
12
6
23
6
8
65
1
20
16
7
14
II
1
52
13
55
1.151
78
82
131
147
25
7
113
116
30
33
143
388
37
440
48
336
2-42
609
159
802
50
86
531
1.315
83
248
16
379
169
25
62
1.124
257
54
55
172
133
109
83
6.587
126
29
352
217
46
116
75
137
47
35
151
121
112
134
69
39
93
35
77
146
66
167
2.121
1.798
57
553
658
261
1.178
4.664
1.082
633
304
528
861
432
569
16.088
616
185
937
1.968
170
682
404
468
254
301
358
390
377
831
356
206
577
207
593
788
444
1.169
2.453
208
549
103
864
S7«
1.635
400
1.240
177
696
54
105
397
1.524
.157
490
105
411
313
842
13
70
53
4
76
31
15
143
131
34
30
45
494
57
34
28
51
115
43
7
3.951
44
13
36
82
32
16
47
33
22
17
118
18
85
18
81
41
46
32
14
64
28
28
911
24
49
141
80
42
22
141
62
37
118
142
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OKLAHOMA— Continued
Duncan
Durant
Edmond
Elk City
El Reno
Enid
Guthrie
Lawton
McAlester
Miami
Midwest City
Moore
Muskogee
Mustang
Norman
Oklahoma City
Okmulgee
Owasso
Ponca City
Sand Springs
Sapulpa
Shawnee
Stillwater
Tahlequah
Tulsa
The Village
Wealherford
Woodward
Yukon
OREGON
Albany
Ashland
Astoria
Beaverton
Bend
Coos Bay
Corvallis
Dallas
Eugene
Forest Grove
Gladstone
Grants Pass
Gresham
Hermiston
Hillsboro
Keizer
Klamath Falls
La Grande
Lake Oswego
Lebanon
McMinnville
Medford
Milwaukie
Newberg
North Bend
Ontario
Oregon City
22.656
13,393
58,072
10,631
16.023
45.820
10.700
88,608
17,287
13,283
53.718
42,347
38,962
11,064
85,061
461,271
13,873
12,493
26,861
16.303
18,588
27.150
37,037
11,300
381.640
10.819
10.004
12.525
22.238
31,527
17,209
10.622
59.426
23.377
17.781
46.528
10,368
120,498
14,838
11,039
18,847
77.288
11.070
42.756
24.998
18.786
12,592
33,168
11.730
20.002
51,416
19,907
14,848
10,248
10,579
16,033
1,048
878
2,101
624
898
4.284
644
7.563
739
923
3,961
1.782
3.519
408
4,860
55,374
1,292
347
1,249
796
1,130
1,778
1,679
723
28,244
955
325
456
988
3,108
978
590
3,162
2.735
1.376
2,995
596
10,457
794
549
2.026
4,650
571
1,897
1.505
1.139
508
879
1.280
1,241
5.038
1.020
841
596
1.187
1,306
1.052
878
2.139
626
906
4.309
687
7.607
743
924
3,966
1,792
3,547
411
4.870
55.774
1.301
350
1,268
804
1.131
1.784
1,695
723
28.531
957
325
456
994
3.129
995
594
3.192
2.753
1.388
3,033
603
10,528
810
561
2.034
4,673
573
1.919
1,518
1,155
511
892
1.288
1.255
5,092
1,022
855
602
1,194
1.323
35
12
67
5
10
22
17
35
3
40
546
7
5
10
7
3
296
9
3
37
4
22
80
14
222
6
6
100
25
104
1
53
1.748
27
5
15
7
15
24
19
3
1,071
26
5
32
9
2
57
17
6
30
5
213
II
10
30
147
3
52
27
46
2
16
16
II
56
16
4
7
15
14
55
29
61
21
37
370
45
868
36
22
183
112
316
23
128
4.112
172
8
33
23
75
12
3.230
38
17
66
14
20
108
108
21
54
1
270
20
5
16
158
7
29
27
57
15
38
30
27
214
11
64
219
246
428
109
225
892
149
1,676
170
207
751
432
909
58
876
10.301
233
42
261
168
239
341
315
167
6.548
93
72
107
186
434
140
109
470
365
287
398
62
1.869
171
60
330
853
82
291
166
287
77
204
141
175
704
164
96
95
149
218
692
559
1.438
449
477
2.659
387
4.295
469
618
2.537
1,022
1.886
313
3,432
33,711
768
254
831
515
691
1.210
1,217
501
12,552
737
216
267
731
2.301
782
422
2.165
2,102
971
2.367
486
7.382
535
391
1.483
2,575
447
1,321
1,122
633
394
542
1.013
951
3,771
634
622
461
900
879
56
30
122
36
128
243
36
427
50
58
366
174
265
9
324
4,891
84
35
99
81
115
113
46
36
4,505
59
II
14
43
278
30
31
342
133
84
126
40
670
46
82
159
881
29
194
154
105
18
77
76
65
258
188
46
31
66
127
143
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OREGON— Continued
Portland
Roseburg
Salem
Springfield
The Dalles
Tigard
Tualatin
West Linn
Woodburn
PENNSYLVANIA
Abington Township
Allentown
Altoona
Aston Township
Baldwin Borough
Bensalem Township
Berwick
Bethel Park
Bethlehem
Bethlehem Township
Bristol Township
Butler
Butler Township (Butler County) . . .
Cain Township
Carlisle
Center Township
Chambersburg
Cheltenham Township
Chester
Coal Township
Coatesville
Colebrookdale Township
Columbia
Cranberry Township
Cumru Township
Darby
Darby Township
Derry Township (Dauphin County) -
Doylestown Township
East Hempfield Township
East Lampeter Township
East Norriton Township
East Pennsboro Township
Elizabethtown
Elizabeth Township
Emmaus
Ephrata
Erie
Exeter Township (Berks County) . . .
Fairview Township (York County) . .
Falls Township (Bucks County)
Franklin Park
Hampton Township
Hanover
Harrisburg
Hatfield Township
Haverford Township
463.072
18.103
116.346
48,055
10.246
33,470
17.891
18.248
14,332
57.194
106.934
52.725
15.312
21.553
57.668
10.872
34,086
72.715
16.678
58.014
16.305
22.147
12.182
19.005
10.906
17,197
35,463
41,291
10,075
11.558
12.801
11.275
15.043
19,264
11,270
11,123
18,692
14,732
18,885
12.184
13,529
15,419
10,403
14,938
11,633
13.024
109,785
17.526
13.462
35.538
10.299
15.807
15,278
53.683
18.320
50.619
54.715
1.658
11.383
5.192
1.244
2,408
1.058
449
1.148
1.680
7,154
1.682
294
267
2.833
190
515
3.070
364
2,626
621
495
509
861
126
1.410
1.780
4,925
158
539
130
588
257
504
511
248
770
284
68S
555
422
376
269
175
333
386
5.867
493
412
1.026
44
171
690
4.487
498
834
55.326
1,677
11.443
5,215
1.249
2.420
1.062
452
1.166
1.697
7.216
1,710
298
268
2.846
191
515
3.082
365
2.665
635
495
509
868
126
1,433
1.783
5.029
159
542
131
592
258
504
516
248
770
285
689
557
422
377
269
175
333
388
5,927
493
412
1,030
44
171
694
4,505
503
835
400
7
63
26
3
5
1
2.344
18
240
85
13
61
13
3
25
33
374
46
5
4
68
1
7
85
99
3
1
7
21
2
26
111
658
4
3
412
5
3
6.014
15
101
168
22
14
6
48
57
42
390
120
44
9
62
3
15
117
5
207
9
20
37
28
15
325
27
1,343
3
54
21
46
9
9
330
48
3
1
7
6)0
5
10
14
4
446
26
41
8.001
271
1.771
969
204
319
176
77
139
212
1,679
483
31
38
415
61
46
684
25
446
69
33
31
139
21
156
192
764
23
71
24
159
28
49
102
18
78
42
106
92
40
61
28
13
47
44
1,137
51
70
198
3
13
92
1.062
80
92
28,363
1.258
8.089
3,572
931
1,850
742
304
820
1,162
4,161
897
198
170
1,691
106
367
2,004
318
1.494
503
421
394
625
87
852
1.045
1,292
122
239
80
312
199
427
191
152
626
184
526
391
350
266
224
111
265
305
3,466
364
322
665
36
132
557
1.692
355
580
9,543
89
1,109
372
70
159
120
17
102
227
492
118
16
42
575
16
78
161
15
354
28
19
34
37
1
43
402
774
120
4
47
86
42
22
25
26
49
24
18
II
24
5
23
451
135
5
10
144
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PENNSYLVANIA— Continued
Hazlelon
Hermitage
Hilllown Township
Hopewell Township
Indiana
Johnstown
Kingston
Lancaster
Lancaster Township (Lancaster County) .
Lansdale
Lansdowne
Lebanon
Logan Township
Lower Allen Township
Lower Gwynedd Township
Lower Makefield Township
Lower Merion Township
Lower Moreland Township
Lower Paxton Township
Lower Providence Township
Lower Salford Township
Lower Southhampton Township
Manheim Township
Marple Township
McCandless
McKeesport
Meadville
Mifflin County Regional
Millcreek Township
Monroeville
Montgomery Township
Moon Township
Morrisville
Mounlainlop Regional
Mount Lebanon
Muhlenberg Township
Munhall
Murrysville
Nanticoke
Nazareth Area
Nelher Providence Township
Newberry Township
New Castle
Newtown Township (Bucks County)
Newtown Township (Delaware County) .
Norristown
Northhampton Township
Northern York Regional
North Huntingdon Township
North Versailles Township
Oil City
Palton Township
Penn Hills
Pennridge Regional
Penn Township (Westmoreland County) .
Penn Township (York County)
Peters Township
Philadelphia
25.123
15,672
10.744
13.478
15.478
27,815
14,259
57,441
13.390
16,786
11,783
25,372
12,571
15,489
10,111
25,471
58,902
11,948
39,768
19,650
10.899
20.166
29.326
23.480
29.226
25,73!
14.278
17,210
47.544
29.619
12,367
19.934
10,022
14,205
33.878
12,831
12,809
17,506
12.214
10,353
13,433
12,653
28.247
13,896
11,539
30.759
35,953
48,784
28.593
12,491
11,933
10,124
52,275
21,344
16.191
11,837
14.689
.560.576
576
649
208
255
431
1.215
490
4.395
479
486
227
1,169
425
389
147
399
1,554
246
1,465
411
166
624
935
565
391
1.074
592
485
1.189
1.302
702
356
362
34
356
557
345
309
221
233
244
326
1,176
213
201
2,249
256
1,100
399
351
408
189
1,059
223
135
364
244
100,417
579
649
208
255
435
1,237
492
4.418
480
492
227
1.169
429
389
147
399
1,554
248
1.472
415
168
630
942
565
391
1,088
597
488
1.196
1.303
704
356
362
34
356
559
345
311
221
236
245
330
1.218
213
201
2,253
256
1,100
404
352
418
189
1.068
223
135
365
261
102,917
100
3
5
5
9
12
21
3
10
24
98
6
184
5
6
16
48
18
5
7
20
6
116
37
5
81
6
2
215
II
II
22
24
1
404
3
1
12.706
117
51
35
35
54
250
45
970
85
64
20
165
84
36
26
72
182
44
175
70
18
96
143
39
27
279
88
61
241
148
41
48
57
7
57
54
64
37
46
25
32
49
275
43
21
509
63
86
78
73
101
22
191
38
13
61
20
14.106
394
545
147
187
326
735
403
2,565
299
389
149
867
296
326
108
283
908
161
1,068
281
113
439
703
425
324
523
437
372
847
772
573
253
226
20
262
444
123
255
158
196
150
257
599
158
159
1,122
142
963
267
203
283
158
544
146
109
281
195
40.392
39
27
21
19
14
77
30
372
78
18
29
48
16
14
9
36
394
33
59
39
4
72
54
63
33
106
30
23
56
254
72
45
60
4
18
40
82
10
9
5
18
12
152
5
18
282
37
27
22
41
6
221
21
5
9
18
25.281
145
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PENNSYLVANIA— Continued
Philadelphia State Police .
Phoenixville
Pittsburgh
Plains Township
Pottstown
Potlsville
Radnor Township
Reading
Richland Township (Cambria County) .
Ridley Township
Rostraver Township
St. Marys
Salisbury Township
Scott Township (Allegheny County)
Sharon
South Fayette Township
South Park Township
South Whitehall Township
Spnngettbury Township
Springfield Township (Delaware County)
Spring Garden Township
Spring Township (Berks County) .
State College
Stroud Township
Sunbury
Susquehanna Township (Dauphin County).
Swatara Township
Swissvale
Towamencin Township
Tredyffrin Township
Upper Allen Township
Upper Chichester Township .
Upper Dublin Township
Upper Gwynedd Township .
Upper Menon Township
Upper Moreland Township
Upper Providence Township (Delaware
County)
Upper St. Clair Township
Upper Southampton Township
Warminster Township
Warren
Warrington Township
Warwick Township (Lancaster County) . .
Washington Township (Franklin County) .
West Chester
West Goshen Township ....
West Hempfield Township .
West Hills Regional
West Manchester Township.
West Mifflin
West Norriton Township . .
West Whileland Township.
Whitehall
Whitehall Township
Whitemarsh Township .
Wilkes-Barre
Williamsport
Windsor Township ....
15.602
368.594
11,157
22.844
16,756
29,146
79,403
14,150
31,651
11,396
14.181
13,607
17,382
17,478
10.487
14.511
18,542
21,898
24,533
11.379
19.191
50,596
10,762
11,546
18,924
19,964
10,507
14,385
28,462
13,552
15,236
24,399
12,385
26.118
25.705
10.873
19,995
16,323
33,339
11.129
12.357
11,799
11,289
18,658
18,360
13,141
11,541
14,590
23,746
15,443
12,594
14,128
23,130
15,091
47,106
32,479
10,302
12
383
26,350
356
1,203
367
452
6,130
323
664
476
250
372
246
663
146
119
591
577
934
400
246
1.385
527
565
679
1,151
397
273
603
224
646
318
236
1,601
496
72
147
260
949
262
296
71
204
984
583
213
59
832
1,020
442
561
140
1,127
450
1.948
2,149
161
12
383
26.623
356
1,215
367
453
6,163
328
669
477
253
373
246
670
147
120
592
580
938
400
246
1.394
527
570
684
1.156
399
276
604
224
652
322
242
1.610
499
72
147
261
954
262
297
71
208
585
215
60
832
1,021
445
562
140
1,129
451
1,956
2,153
161
2
261
3
3
2.469
5
43
7
5
438
6
20
4
2
1
3
25
3
1
11
33
6
10
3
18
5
113
87
1
2
25
1.311
30
160
42
11
349
6
16
12
33
8
4
31
4
7
II
8
5
30
4.335
68
232
52
42
1.500
51
56
47
38
50
36
137
22
25
53
49
58
42
18
191
42
91
77
136
50
38
83
29
77
81
50
92
67
15
17
46
138
43
48
10
32
131
92
47
8
68
103
52
52
13
120
76
395
346
25
4
255
12.568
224
697
246
352
3,280
241
474
375
165
302
169
429
95
74
499
483
713
330
210
1. 116
432
386
503
852
209
218
446
180
410
189
165
1.078
353
40
111
186
676
188
201
57
148
668
410
142
38
717
610
330
400
98
861
312
1.267
1.548
99
1
68
5.342
26
62
12
40
503
15
96
37
6
8
34
33
18
10
19
25
142
16
II
24
32
12
50
107
103
4
57
119
24
9
380
56
7
18
24
81
15
34
2
8
96
33
9
218
36
89
19
85
54
120
83
II
146
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PENNSYLVANIA— Continued
Yeadon
York
York Township
RHODE ISLAND
Barrington
Bristol
Burnllville
Centra] Falls
Coventry
Cranston
Cumberland
East Greenwich
East Providence
Johnston
Lincoln
Middletown
Narragansett
Newport
North Kingstown
North Providence
North Smithfield
Pawtucket
Portsmouth
Providence
Smithfield
South Kingstown
Tiverton
Warren
Warwick
Westerly
West Warwick1
Woonsocket
SOUTH CAROLINA
Aiken
Anderson
Beaufort
Cayce
Charleston
Clemson
Columbia
Conway
Easley
Florence
Gaffney
Georgetown
Goose Creek
Greenville
Greenwood
Greer
Hanahan
lrmo
Laurens
Mauldin
Mount Pleasant
Myrtle Beach
See footnotes at end of table.
12.123
43.506
24.525
15.783
21.537
16,008
16.101
31.219
76.396
28.644
11.916
50.191
26.182
17.800
19.275
15,287
27,960
24,268
31.655
10.353
71,740
16.696
158,720
18,903
25,131
14,176
11,337
85.803
22.043
29.396
42.203
22,807
28.403
10.155
11,531
82.676
11.601
100,504
11.093
17,396
31,260
14,709
10,114
27.445
60.040
22.604
11,023
12.885
12.616
10.182
12.188
32,579
27.925
516
3.075
595
311
367
191
734
707
2,383
836
192
1.307
769
696
310
515
2,165
596
942
202
3.448
271
13.680
260
494
315
369
3.891
376
1.128
1,388
2,811
1.511
994
5.924
545
12.156
1.205
790
3,507
726
1.489
678
6.622
2,305
931
620
324
567
366
1,473
5.512
516
3,084
604
321
369
191
734
719
2.404
838
193
1.326
780
700
310
515
2,221
602
957
202
3,478
273
14,010
265
498
315
369
3.933
376
1.141
1.390
2.818
1.515
1.000
5.931
546
12.184
1.206
791
3,512
728
1.493
678
6.649
2.308
931
620
324
568
366
1.473
5.514
25
2
115
6
13
II
7
48
2
116
5
5
26
3
13
6
44
21
5
4
1
6
4
17
2
17
1
1
20
4
5
2
2
40
1
17
1
107
43
163
38
22
233
10
571
41
15
170
34
59
3
253
80
110
13
4
17
6
78
29
81
125
18
50
21
1
5
72
225
14
54
43
150
21
631
10
17
14
283
24
158
105
361
151
116
638
15
1,360
157
86
406
82
224
56
710
521
110
42
25
106
38
68
359
40
447
92
24
64
65
206
191
462
149
44
262
150
116
40
120
508
127
251
32
931
44
3.606
58
104
49
41
435
102
162
288
271
748
225
134
844
81
1.849
145
142
616
181
298
88
1,122
423
181
122
65
107
46
165
1.136
280
2.075
453
277
272
111
254
445
1.542
492
123
852
473
486
252
293
1,308
423
462
117
1,690
180
6,286
156
337
218
305
2,604
245
659
567
905
1,344
1.044
675
3,675
414
7,581
809
507
2.078
389
834
501
4,153
1,195
545
385
217
308
261
1,146
3.538
144
186
30
5
10
9
168
38
262
67
6
121
120
87
10
25
70
28
149
9
541
24
2.468
29
24
30
23
520
23
71
125
57
176
42
40
471
23
660
47
33
208
34
59
24
334
62
61
58
12
16
II
68
287
147
Table 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
hiruhk-
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
SOUTH CAROLINA— Continued
10,775
16,662
75.637
14.138
45.134
13.498
45.875
23.286
43.179
10,036
10,698
25.410
16,866
14.063
13.483
58.100
107.258
13.448
11.251
31.005
19,091
25.203
10,597
157.451
86.912
33,419
17.113
32.875
17,461
23.036
20.169
35.108
10.383
52,360
51.892
38.971
172.280
11.026
20.529
11.635
628,375
18,491
22,450
521,301
28,810
15.623
15.813
12.916
17.749
10,901
112.341
20.868
780
1.030
9,493
1.511
3,540
271
6,840
1.802
3.273
335
1.376
1.061
560
669
833
4.196
5.317
424
728
1,062
490
1,089
695
14,299
5,168
1.787
631
2.599
1.435
1,327
1.299
1.114
767
5.537
2.488
1.892
13.261
689
578
774
61,393
1,043
1,489
52.469
1.967
795
911
1.238
966
922
6.131
1.572
780
1.033
9.513
1,512
3,552
272
6,863
1.811
3,280
336
1.383
1.070
560
676
839
4.212
5,369
424
731
1,064
490
1,092
695
14,374
5.168
1.799
2.607
1,436
1.299
1.122
767
5.559
2,503
1.902
13.410
579
777
62,036
1,050
1.502
1.975
796
918
1.238
967
925
6,161
1,585
5
4
75
9
19
3
42
17
22
2
9
2R
5
5
10
40
70
9
3
3
6
5
16
92
140
17
2
8
14
15
11
14
4
39
12
20
109
11
15
6
695
7
8
508
14
5
8
4
9
12
90
18
24
36
375
78
116
2
318
30
206
5
60
5
!
1
136
79
951
146
673
12
1.088
119
307
70
111
36
1
15
42
189
358
19
55
58
9
77
116
1.516
431
178
14
198
156
101
193
97
132
636
82
213
2,266
65
42
71
4,013
71
76
6,142
59
65
43
182
18
68
506
110
70
131
1,433
380
477
50
1.012
315
859
35
255
139
115
108
129
572
874
46
125
184
63
147
169
2,736
1,065
403
55
668
219
133
238
296
126
1.122
472
321
2,688
157
109
176
15,731
260
170
8,342
231
197
164
126
209
205
1.250
426
535
681
5.557
853
2.116
193
3.865
1.235
1.626
203
871
825
416
516
626
3.184
3,742
332
486
736
394
811
349
7.804
3.196
1.043
515
1,549
966
961
764
688
451
3.244
1.704
1.189
5,925
411
364
447
24.096
622
1,075
28.779
1.515
479
628
878
666
597
3.918
954
10
97
1.089
43
136
11
504
86
251
20
69
27
22
23
26
160
214
18
47
73
15
43
24
1.502
206
121
39
113
51
99
58
7
42
287
176
121
1.617
38
40
71
11.711
54
148
5,973
91
37
52
24
54
25
242
50
2
13
2
3
3
20
1
Rock Hill
12
1
11
23
9
2
1
1
1
:
3
1
7
1
7
SOUTH DAKOTA
9
7
6
49
56
16
52
TENNESSEE
11
8
3
4
21
606
122
24
6
58
29
17
33
11
11
202
39
26
632
7
7
3
4,988
29
9
2.652
56
11
15
23
10
14
119
9
3
2
2
43
8
1
3
75
12
5
8
1
1
2
1
1
7
3
2
24
8
22
15
10
Knoxville
149
1
159
1
3
Memphis
643
7
3
73
1
1
1
1
1
6
5
13
8
1
7
1
3
TEXAS
30
13
148
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continued
Allen
Alvin
Amarillo
Andrews
Angleton
Arlington
Athens
Austin
Balch Springs
Bay City
Baylown
Beaumont
Bedford
Beeville
Bellaire
Belton
Benbrook
Big Springs
Borger
Brenham
Brownsville
Brownwood
Bryan
Burkburnett
Burleson
Canyon
Carrollton
Cedar Hill
Cleburne
College Station
Colleyville
Conroe
Converse
Coppell
Copperas Cove
Corpus Chrisli
Corsicana
Dallas
Deer Park
Del Rio
Denison
Denton
DeSoto
Dickinson
Donna
Dumas
Duncanville
Eagle Pass
Edinburg
El Campo
El Paso
Ennis
Euless
Farmers Branch
Flower Mound
Forest Hill
Fort Worth
Freeport
22.473
21,235
167,393
11.274
19,073
286,748
11,355
511.676
19,187
19,426
69,057
120,031
46.053
13.770
14.825
12,767
21.374
24,102
15.954
12.584
109,912
19.222
58,766
10,362
17,986
11,840
92,399
23.477
23,585
57,869
16,238
30,634
10.114
20,984
25,545
276,880
23.705
1,062.677
30,520
33.695
22,175
70,497
34,650
10,470
14.010
13,637
40.497
23,449
33,908
10.742
565.183
14.647
41.223
25,744
18,523
12.311
472,288
12,453
932
940
13,546
372
944
20.798
690
40,632
1,304
1,709
4,035
11,748
1,512
914
574
523
395
1,251
598
873
9.958
1.240
4.444
324
639
257
4,192
872
1.595
2,543
256
2,638
298
587
1.450
27.183
1.717
100.707
820
2.040
1.599
3,915
1,569
644
1.312
482
2,053
2,042
2,237
648
40,465
891
1,684
1,597
688
843
43.400
649
939
943
13.609
373
944
20.879
691
41.239
1,306
1,712
4.050
11.804
1.517
916
575
523
395
1,262
601
877
9.980
1.243
4.465
340
643
260
4.220
878
1.598
2.549
256
2,650
301
590
1,457
27.384
1,735
102,075
821
2,041
1,609
3,957
1,577
649
1,324
485
2.066
2.048
2.244
648
40.861
892
1,693
1.600
688
846
43.811
653
13
7
295
3
132
106
16
144
1
249
12
2
47
219
22
4
3
3
3
5
6
10
31
7
52
1
3
1
20
2
1
21
7
1
15
178
16
957
13
4
12
1
5
12
413
5
6
8
237
1
13
654
8
1.542
34
37
97
508
33
5
492
46
7.077
3
55
19
47
II
1.086
16
44
27
3
42
2.379
10
14
62
893
25
58
1.627
117
1.421
116
69
265
661
66
84
19
22
14
76
37
90
609
109
392
9
14
20
158
17
76
106
5
314
22
7
100
1.688
90
8.557
43
119
105
298
72
43
45
45
101
150
117
50
4,006
65
70
22
106
55
3,111
66
189
159
2,168
64
171
3.470
161
7,047
261
298
675
2.377
248
230
118
117
64
286
74
106
1.996
217
794
68
100
27
802
206
229
329
45
362
115
169
294
4,248
326
17.860
208
421
307
571
413
95
371
86
359
558
480
141
4.277
189
299
311
165
179
8.295
132
679
646
9,575
274
637
12.402
372
26.403
763
1.276
2,485
6,896
1,035
579
372
328
270
815
447
636
6.322
864
2.855
226
480
205
2.722
573
1.196
1,968
198
1.666
141
386
1.000
19.215
1,149
48,268
504
1,392
1,087
2,736
906
406
737
334
1.230
1,231
1.442
420
26,915
579
1.102
990
392
482
23.712
363
37
56
542
8
49
2.483
29
3,933
116
27
460
1,062
108
12
39
40
33
43
23
720
27
258
15
35
415
69
72
94
5
207
11
24
1.349
83
17.693
44
89
67
200
135
71
141
10
296
76
143
3.904
39
156
246
17
70
5.358
71
149
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continued
27,144
14.705
10.724
61.922
198.680
12,001
16,382
108.586
33.973
24.162
17,154
36,190
13,391
54,003
11,804
15,066
10,096
1,758.016
13,223
29.643
35,769
167.597
10,210
13.071
16,337
18.673
11.578
69,190
26,430
25.290
15.662
10.982
24.063
30.563
141.872
34,958
10.528
15.040
51,806
11.205
75.551
195.326
32,523
17.935
24,372
93,798
24.184
14,124
112,580
98,906
15,148
34,036
34,036
13.085
31,882
17,378
30,180
52,336
503
680
292
7,034
11,446
222
682
6.111
1,158
2.568
800
1.919
4.730
1.445
840
226
128,079
1,239
1,155
2,190
10,381
373
761
316
950
1,210
4,465
1,471
751
790
507
1,418
864
9,011
1.271
758
529
3,263
446
6,218
12,639
2.214
712
2.051
11.871
1.559
463
7.599
5.026
919
2.054
1.787
953
1.815
868
1.779
2.277
516
681
294
7,127
11,554
223
686
6,115
1,174
2.589
800
1,928
4.736
1.445
844
227
129.669
1.246
1,160
2.196
10.414
374
761
336
952
1.211
4.579
1.485
754
792
510
1,450
870
9.056
1,271
531
3.278
449
6.247
12.711
2,216
715
2,063
11.894
1.559
464
7.711
5.036
925
2.060
1.792
962
1.840
869
1,785
2,286
375
1
37
5
4
9
2
5
931
10
10
41
60
1
5
2
19
5
74
139
21
1
15
7
8
422
280
II
166
12
76
14
44
12
66
22
5
3
9,981
30
31
48
200
18
10
23
145
15
2
29
3
19
II
208
15
17
5
32
3
198
324
57
9
29
167
25
5
129
89
24
40
27
1.062
579
12
23
398
49
291
178
373
212
71
7
11.699
63
121
222
421
21
44
31
114
86
182
127
II
27
73
127
72
756
38
16
23
55
34
386
866
194
113
149
533
236
142
424
319
118
62
71
40
177
24
157
83
109
136
63
1.063
2.318
96
151
1.020
212
555
200
416
171
919
214
131
73
25.518
141
139
242
1.501
69
139
62
119
205
960
357
86
162
89
423
194
1,798
230
93
76
642
60
1.421
2,499
403
113
384
1.987
263
113
954
1.083
213
484
608
215
309
140
291
364
334
451
145
3.576
7.277
106
463
3.448
775
1.512
530
1,049
464
2,975
840
599
134
56,945
753
763
1.465
7.313
222
530
206
679
825
2.840
909
619
479
334
686
519
5.328
890
573
408
2.224
316
3,606
7,926
1.437
430
1.374
8.207
942
149
5.322
3,254
518
1,340
907
606
1.197
633
1.213
1,559
22
40
46
845
889
7
30
1.026
91
106
46
194
41
392
145
32
4
22.630
241
91
172
872
42
33
15
27
57
244
50
31
85
6
147
55
891
87
57
15
290
26
518
865
96
44
94
945
74
49
749
207
46
155
125
75
58
49
83
187
See footnotes at end of table
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continued
Odessa
Orange
Palestine
Pampa
Pans
Pasadena
Pearland
Pecos
Pharr
Plainview
Piano
Port Arthur
Portland
Port Lavaca
Port Neches
Richardson
Richmond
Robstown
Rockwall
Rosenberg
Round Rock
Rowlett
San Angelo
San Antonio
San Benito
San Juan
San Marcos
Schertz
Seagoville
Seguin
Sherman
Snyder
South Houston
Stephenville
Sugar Land
Sulphur Springs
Sweetwater
Taylor
Temple
Terrell
Texarkana
Texas City
The Colony
Tyler
Universal City
University Park
Uvalde
Vernon
Victoria
Vidor
Village
Waco
Watauga
Waxahachie
Weatherford
Weslaco
West University Place
White Settlement
Wichita Falls
97.444
20.639
18.803
20.389
25,723
130.346
22.314
12.364
37,204
22,763
147.689
71,947
13,363
II, 90S
13,950
79,363
1 1,539
13,642
12,773
22,01 1
36,391
26,561
89.482
999,900
22,453
12,120
30.652
11,659
10,166
19.870
32.377
12,934
15,409
14,064
30,270
14.609
12,148
12.346
46.874
13,322
33.384
43,360
25.687
79.892
14.168
23.250
15,909
12,140
59.642
11,781
12.395
108.083
22.639
19,622
16,289
24,495
14.062
16.151
98,751
6,963
2,135
1.472
938
3.046
7.342
748
314
2,943
1,236
6.992
4,738
506
623
586
3,730
583
641
411
1.557
1,349
1.151
5.012
87.679
1.384
723
1,573
420
534
1.197
2.604
462
1.033
739
1.293
846
610
542
3,516
974
2.966
3.696
825
9.041
673
488
361
433
4,668
528
226
10.340
494
1,422
817
2.453
302
853
8,559
7.029
2,141
1.483
938
3.059
7.424
758
314
2,967
1.241
6.997
4.811
507
627
587
3.738
589
652
415
1.598
1.355
1.152
88,544
1.389
723
1.582
423
536
1.199
2,611
465
1.035
739
1.295
852
612
546
980
2.989
3.726
839
9.096
689
496
362
436
4.692
531
226
10,367
495
1.427
818
2.465
304
854
8.708
5
194
3
29
22
13
II
20
101
4
41
565
40
2
119
1
126
3
2
12
137
95
36
13
52
180
14
4
36
14
110
226
1
II
5
98
32
6
5
63
25
7
44
2.781
10
16
28
3
9
25
35
3
29
7
15
II
73
35
116
123
7
256
13
15
3
9
91
5
9
436
9
43
5
37
13
11
196
433
138
156
63
545
1.007
54
19
202
111
432
638
8
59
35
122
63
68
18
157
45
46
404
2.931
76
37
115
12
56
92
113
30
43
160
62
96
423
67
236
199
50
783
42
3
48
67
539
26
9
1,159
37
94
92
103
3
26
673
1.431
390
267
237
487
1.305
150
56
558
257
1,228
1,508
95
126
113
662
166
225
69
223
187
285
850
16,422
215
264
79
112
246
410
90
173
171
242
129
136
97
519
238
584
604
128
1.679
80
89
140
799
68
58
1,781
81
192
156
610
131
142
1.250
4.648
1,366
936
585
1.831
3.884
463
228
1.867
819
4.743
1.886
390
403
388
2,541
289
289
291
991
969
766
3,539
54.910
991
397
1,041
308
299
749
1,851
318
579
541
858
499
370
296
2,204
552
1,881
2,403
595
5.613
513
370
213
200
2.946
405
134
5.709
345
976
507
1,422
137
596
5,911
276
123
63
29
110
856
62
7
268
29
448
448
10
18
38
286
27
47
28
99
100
39
129
9,876
50
95
15
46
69
118
10
200
14
65
42
19
35
224
69
124
321
43
573
22
12
262
23
16
1,104
18
113
44
275
18
71
430
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
Cily by Slate
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
UTAH
American Fork.
Bountiful
Brigham City . .
Cedar City
Centerville ....
Clearfield . .
Farmington.
Kaysville . .
Layton ....
Logan
Midvale ....
Murray
North Ogden
Ogden
Orem
Pleasant Grove.
Provo
Roy
St. George ....
Salt Lake City .
Sandy
South Jordan . .
South Ogden . . ,
South Salt Lake .
Spanish Fork . .
Springville . .
Tooele
West Jordan .
West Valley .
Bennington .
Brattleboro
Burlington .
Colchester .
Essex
Rutland
South Burlington .
VIRGINIA
Alexandria
Alexandria State Police .
Blacksburg
Bristol
Bristol State Police
Charlottesville
Chesapeake
Chesapeake State Police .
Christiansburg
Colonial Heights
Colonial Heights Stale Police .
Danville
Fairfax City
Fairfax City State Police
Fredericksburg
17.261
39,825
17,063
14,850
13,487
23,798
10.099
16,002
52,295
35.687
12,787
34,177
12.812
69.783
73,155
19,102
96,078
27,170
34,477
174.827
85.341
14.885
13,184
11.335
12.682
15.249
15.188
49.148
96.646
16.923
12.592
39.176
15.154
16,971
18,083
13.175
35.802
18,542
41.560
170.107
16,764
16,838
54,894
21.017
21.367
823
1,137
786
631
520
787
341
466
2.390
1.085
760
3.374
274
6,043
3.303
730
3,337
1.167
2.008
18.992
2.992
376
558
2,458
653
657
720
1.893
6,383
510
732
3,192
355
740
782
855
7,317
5
80!
742
1
2.657
8.716
15
697
982
1
2.260
1.339
1
769
832
1.142
788
633
520
790
341
471
2.406
1,091
761
3.393
274
6.045
3.322
730
3,373
1,177
2.009
19,133
3.005
389
567
2.462
654
657
721
1900
6.428
511
732
3.192
357
742
785
855
7.361
5
808
754
1
2,673
8,844
15
698
987
1
2.271
1,359
1
782
20
42
12
6
39
2
20
158
4
1
11
104
17
4
9
24
1
111
14
1
21
II
9
502
25
1
12
51
4
2
3
9
97
317
6
70
332
3
mi
23
36
II
73
19
19
57
6
231
44
12
95
98
67
640
74
15
14
90
9
21
31
52
234
174
410
1
12
36
154
172
57
51
287
106
90
131
292
115
110
390
18
861
404
127
472
214
192
3.025
561
66
81
357
70
118
277
876
1.042
140
108
312
1,555
1
86
74
363
179
595
869
673
541
208
587
225
305
1,897
890
548
2,731
246
4,477
2,652
552
2,546
809
1,593
12.931
2.192
252
423
1.783
533
538
518
1,464
4,820
89
378
126
554
560
2.410
72
261
94
610
95
612
70
696
4.696
3
597
560
1.946
5.685
6
564
815
1
1,597
1.017
1
540
36
47
30
17
1(1
50
II
15
92
45
70
159
3
318
176
32
163
33
127
1.716
129
40
20
155
17
22
49
78
246
21
28
129
17
31
45
67
26
19
I
128
652
4
19
42
90
84
Fredericksburg Slate Police .
152
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slate
Population
Cnme
Index
total
Modified"
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
VIRGINIA— Continued
Front Royal
13,053
140,434
660
6.763
4
1,470
2
700
1.609
626
3,845
2
1.435
1
1,252
1
11.120
2
19.854
16
2.985
4
178
9.300
8
412
18
421
21.939
31
6.026
4
808
839
1
3,671
2
485
21.228
17
866
624
1.691
1
2.042
547
2.762
5.169
4,453
945
1.705
2.384
1.077
1.254
1.165
781
6,831
5,766
1.051
664
6,827
4
1.476
3
701
1,656
627
3.907
2
1,446
1
1.260
1
11.184
2
19.993
16
2.989
4
181
9.412
8
414
18
429
22.156
31
6.068
4
808
843
1
3,688
2
489
21.427
17
874
624
1,694
1
2,061
553
2,789
5.204
4,484
962
1,715
2.389
1.085
1.257
1.172
786
6.906
5,798
1,059
11
9
46
8
3
4
5
20
5
274
17
230
1
32
1
11
240
14
431
59
757
538
5,103
2
1.135
32
342
1
63
1
20
35
33
206
1
75
1
77
1
643
1
1,810
9
210
4
1,046
1
13
1
6
2,641
6
320
2
26
23
274
1
21
946
1
28
30
50
1
69
16
285
249
164
68
109
265
51
177
81
31
500
722
63
4
64
32.949
20
16
37
12
127
212
6
1
4
7
1
17,677
24,177
17,824
67,729
63
244
61
662
586
1.045
501
2.392
1
1,077
1
47
1
62
31,049
13
3
98
157
50
47
584
1.197
1
210
719
1
2
43
91
890
967
1
245
21
565
1
34
177
195
2.025
3,120
665
20
1,746
11
4
22
61
1
10
23
16,355
835
6,858
1
12.542
4
1.620
4
133
5.136
5
297
13
279
10,837
19
4,179
2
671
680
1
2,260
8
Newport News
181,666
64
Norfolk
260.038
139
41.101
25
65
4
Poquoson
11.508
106.939
3
112
10,139
6
60
4
93
4,927
2
1,018
81
84
581
2
16.517
207.261
160
4
9
6
169
3
1.586
2
209
9
10
145
6
609
1
7
21
32
17
2
50
77
41
9
32
63
11
27
21
6
176
141
18
34
1.619
2
252
17
36
370
1
7
371
8
217
99.144
44
4
6
32
6
145
42
24,428
25,231
4
Suffolk
54.592
17
15,827
427,471
33
60
3.248
385
15.876
15
644
476
1,280
1.681
440
1.939
4.082
3.402
712
1.173
1.585
771
754
827
586
4,603
3.793
746
4
199
19.176
12,386
23,424
1
2
1
1
5
3
2
1
1
7
1
1
9
3
20
19
1
39
30
54
2
26
37
6
31
4
9
126
90
10
62
56
83
44
19
129
115
135
18
77
82
45
36
15
31
322
162
25
116
37
224
211
69
319
611
654
136
286
350
193
228
216
118
1,097
857
188
8
3
WASHINGTON
17,430
12,509
35,918
88.956
57.445
13.282
43.282
25.509
12.860
18.620
32.099
12.886
78.045
71.830
12.708
19
6
27
35
31
Bothell
17
10
5
8
3
7
5
75
32
Kelso
8
153
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
WASHINGTON— Continued
46.832
42.246
42,342
22,101
33,530
31,037
11.741
21.716
12.984
20,784
19.952
19,347
38,217
23.068
19.148
26.401
39.634
44.886
35,530
24,129
540.268
194,718
12.672
191,042
12,796
11,454
51,502
29.092
23.496
60.720
18.239
12,832
57.493
18,078
20.534
54,481
14,827
26,870
10,903
33,891
11,032
13,704
11.048
22.038
34.458
69,680
17,258
10.074
14.930
37.082
37,026
13.200
22.580
10,452
13,267
3.521
4,312
1,979
1,839
2,200
3.226
606
442
1,760
1,098
1.750
781
2,565
1.837
1.209
2.061
1.488
4,012
1.348
1.924
57.905
17.115
2.014
22.408
3.471
714
4,911
2.792
2,146
7,140
1,465
356
6,473
473
851
3,460
1,230
1.402
426
1,403
401
448
361
529
1,333
2,298
921
378
788
2,167
1.451
480
435
185
412
3.539
4.370
1,985
1,857
2,240
3,253
610
444
1.765
1.116
1,773
800
2,577
1.844
1.217
2.080
1.508
4,050
1.358
1,929
58.207
17,216
2,024
22.603
3.486
724
4.946
2.808
2.159
7.171
1.474
358
6,539
473
855
3.512
1.235
1.410
427
1.428
401
448
362
538
1,345
2.310
924
382
788
2.175
1.457
480
440
185
414
37
38
12
8
5
9
7
3
22
6
21
10
22
22
11
10
15
40
9
34
318
101
10
204
25
13
52
39
26
55
7
41
118
56
18
28
66
12
1
6
10
14
6
28
49
17
27
24
105
15
62
2.536
490
14
1.004
110
7
124
24
24
156
32
9
225
5
16
126
32
13
1
13
7
12
9
43
12
6
4
2
70
11
9
4
3
140
123
30
45
93
56
18
10
122
33
22
16
73
125
26
69
31
105
22
82
3.615
1.090
93
2.281
102
32
316
299
76
519
167
33
327
8
54
152
25
77
6
49
13
2
54
139
28
18
10
24
45
26
12
10
1
11
408
819
329
239
426
332
110
65
245
184
193
83
312
303
211
181
192
600
161
356
8,186
3.142
285
3,653
332
96
791
384
285
1.283
121
115
1.194
78
157
785
169
259
117
307
108
62
19
116
282
305
87
40
62
266
149
36
83
15
37
2.770
2.679
1.399
1,451
1.476
2,567
429
346
1,307
779
1,415
645
1,989
1.230
891
1.608
1.152
2.592
1.105
1,058
36.758
11,381
1.494
1 1 ,97 1
2.611
518
3,048
1.968
1.643
4.692
1.064
181
4,070
354
604
2.150
947
981
260
932
253
323
336
318
764
1.890
765
309
682
1,654
1.181
384
313
168
339
125
532
153
78
171
195
30
17
58
85
84
21
141
105
53
165
74
568
36
331
6.423
904
117
3,262
287
48
575
76
90
426
71
18
611
20
14
170
55
59
39
81
33
38
2
31
86
58
29
15
14
121
82
36
21
1
21
18
Kent
3
58
6
Longview
18
1
1
40
27
4
2
5
1
1
18
23
19
12
3
7
Port Angeles
Puyallup
8
1
2
1
69
7
1
33
4
5
2
2
9
3
6
2
1
6
1
19
20
38
10
5
302
101
10
195
15
10
35
Walla Walla .
16
13
31
WEST VIRGINIA
9
Bluefield
2
40
6
5
71
1
13
20
66
4
52
5
8
3
1
1
25
1
2
3
1
2
1
18
3
16
1
9
12
WISCONSIN
12
3
4
4
8
2
3
3
1
8
6
5
Chippewa Falls
2
i ■
154
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by Slale
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
WISCONSIN— Continued
Cudahy
De Pere
Eau Claire
Everest
Fitchburg
Fond du Lac
Fort Atkinson
Franklin
Germantown
Glendale
Grand Chute
Green Bay
Greendale
Greenfield
Janesville
Kaukauna
Kenosha
La Crosse
Madison
Manitowoc
Marinette
Marshfield
Menasha
Menasha Town
Menomonee Falls
Monomonie
Mequon
Merrill
Middleton
Milwaukee
Monroe
Mount Pleasant
Muskego
Neenah
New Berlin
Oak Creek
Oconomowoc
Onalaska
Oshkosh
Pleasant Prairie
Racine
River Falls
Sheboygan
Shorewood
South Milwaukee
Stevens Point
Sun Praine
Superior
Two Rivers
Watertown
Waukesha
Wausau
Wauwatosa
West Allis
West Bend
Whitefish Bay
Whitewater
Wisconsin Rapids
18,889
17.659
59.001
14.139
16.698
39.549
10.874
24.457
15,369
14.422
14,747
102,248
15,158
34.608
55,262
12.093
84.993
52.261
198,638
33,397
12,332
19.751
15.616
14.401
28.566
13.968
20.782
10,212
13,868
628.737
10.620
21,630
18,657
24.389
35,526
21.398
11.573
12.012
57.294
12.674
87.654
11,085
51,093
14,228
21,073
23.823
16.421
27.880
13,436
19.964
60.226
38,728
50,225
63,255
25.816
14.503
13.333
18.617
685
531
2.925
503
485
2.167
454
578
458
1.015
870
4,753
767
1.357
3,153
331
4.303
3.018
9.619
1.449
464
640
621
301
841
948
184
548
386
51,241
325
759
223
1.021
600
797
389
613
3.153
462
6,695
528
2.568
679
797
1.378
768
1.875
447
849
1.858
1.756
2,139
3.097
1,249
235
360
1.042
689
543
2.953
508
487
2,182
461
581
463
1.015
870
4.775
767
1.373
3,174
331
4.342
3,023
9,684
1.456
465
643
621
304
842
952
184
548
386
51,872
329
760
224
1,022
618
800
389
613
3,162
462
6,736
528
2,600
679
805
1.383
782
1.905
448
865
1,875
1,760
2.152
3,131
1,260
235
363
1.044
1
429
4
4
1
12
1
7
12
1
1
4
29
4
59
3
20
20
1
125
6
310
9
1
6
4,017
3
5
3
15
7
375
1
18
15
7
5
3
13
2
6
35
15
93
32
18
104
4
7
1
5
10
400
7
7
101
6
187
13
230
1
1
1
1
1,977
6
20
2
41
26
12
15
3
53
10
335
13
41
9
7
29
40
40
3
18
71
33
21
66
21
39
96
101
457
57
112
236
27
120
58
62
73
625
26
202
533
31
913
241
1,537
172
40
90
70
58
128
110
24
48
49
8.461
39
130
48
132
105
92
14
31
430
31
1.401
26
306
78
142
177
90
276
69
89
255
218
279
519
102
22
39
152
492
392
2,272
391
313
1,750
414
402
382
839
761
3,415
704
1,029
2,360
286
2.745
2.650
6.571
1.153
394
514
521
229
628
799
147
479
307
25.532
268
542
166
814
437
642
339
560
2.537
391
3.968
471
2.141
542
590
1,125
593
1,447
355
697
1,400
1,413
1,548
2,137
1,086
200
296
802
45
19
83
22
31
55
7
44
12
76
21
204
25
97
119
6
289
99
887
71
II
14
18
12
61
32
II
18
23
10.686
6
51
5
32
28
41
16
15
107
23
576
15
52
35
48
31
42
75
18
29
103
83
192
297
32
7
12
41
155
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1994 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
WYOMING
Casper
Cheyenne . . .
Evanston. . . .
Gillette
Green River .
Laramie
Rock Springs .
Sheridan
48.626
53.734
11.972
18.903
13.609
27.502
20.455
14,540
3.236
2.671
622
1.254
576
1.033
1,232
521
3.294
2.680
622
1.273
579
1.036
1,232
536
48
642
2.221
74
222
2,259
15
109
472
74
135
1.007
22
61
482
h8
85
837
93
132
908
14
44
437
187
58
73
9
70
26
19
8
3
34
3
81
18
15
'Due to reporting changes or annexations, figures are not comparable to previous years.
2Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. Therefore, the figures were excluded from the forcible rape, Crime Index total, and Modified Crime Index total categories.
'Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana. See "Offense Estimation," pages 377-378 for details.
4Indianapolis/Marion County, Indiana, is a unified city-county government with a total population of 771,796.
'The Charlotte, N.C.. Police Department and Mecklenburg County. N.C., Police Department merged into one department in 1994.
156
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994
*Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data.
University/Coliege
Student
enroll-
ment1
Violent2
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Property-1
crime
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Alabama State University
Auburn University:
Main Campus
Montgomery
Jacksonville State University. .
Livingston University
Troy State University
University of Alabama:
Huntsville
Tuscaloosa
University of Montevallo
University of South Alabama
ALASKA
University of Alaska:
Anchorage
Fairbanks
ARIZONA
Arizona Slate University:
Tempe
West
Arizona Western College
Central Arizona College
Pima Community College
University of Arizona
Yavapai College
ARKANSAS
Arkansas Slate University
Henderson Stale University
Southern Arkansas University
University of Arkansas:
Fayetleville
Little Rock
Medical Science
Monlicello
Pine Bluff
University of Central Arkansas
CALIFORNIA
Allen Hancock College
Cabrillo Community College
California State Polytechnic University
Pomona
San Luis Obispo
California State University:
Bakersfield
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northndge
Sacramento
San Bernardino
San Jose
San Marcos
Stanislaus
College of the Sequoias
Contra Costa Community College
El Camino College
See footnotes at end of table.
5.488
21.551
6.386
8.022
1.977
6,063
8.026
4
3,246
12.311
17.257
8.116
43.628
4
5.386
4,586
30.175
35.118
4.817
10.177
4,467
2,935
14.582
12.348
1.734
2,444
3.709
9.473
7,941
12,986
18.294
16.373
5,433
15.164
10.472
18.902
24.402
12.981
30.067
19,399
29,088
24.466
12.483
4
1,901
5,897
9.139
7.886
24,469
50
)9
89
28
104
116
494
II
77
141
118
1,191
41
55
35
150
1,260
159
65
51
258
179
156
33
134
165
40
87
431
497
71
346
179
431
521
154
260
339
341
502
310
338
31
137
78
361
224
113
8
4
15
33
10S
5
19
51
28
30
24
26
103
58
30
13
40
4
91
29
105
33
86
28
89
106
472
9
64
131
104
1.035
33
50
20
109
1,089
83
118
57
34
201
152
136
18
110
141
21
36
341
463
47
314
62
321
450
125
196
282
220
417
182
289
30
135
25
300
134
43
1
66
1
62
4
6
14
52
41
16
24
53
30
56
23
16
1
2
17
23
35
157
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University/College
Student
enroll-
ment1
Violent2
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property J
crime
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
CALIFORNIA— Continued
Foothill-De Anza College
Fresno Community College
Humboldt State University
Kings River Community College
Los Angeles City College
Marin Community College
Pasadena Community College
San Bernardino Community College . . .
San Diego State University
San Francisco Slate University
San Jose/Evergreen Community College
Santa Rosa Junior College
Sonoma State University
University of California:
Berkeley
Davis
Hastings College of the Law
Irvine
Lawrence Livermore Laboratory
Los Angeles
Riverside
Sacramento
San Diego
San Francisco Medical School
Santa Barbara
Santa Cruz
West Valley College
COLORADO
Adams State College
Auraria Higher Education Center
Colorado School of Mines
Pikes Peak Community College
Red Rocks Community College
University of Colorado:
Boulder
Health Sciences
University of Northern Colorado
University of Southern Colorado
CONNECTICUT
Central Connecticut State University . . .
. Eastern Connecticut State University . . .
Southern Connecticut State University . .
University of Connecticut:
Avery Point
Health Center
Storrs
Western Connecticut State University. . .
Yale University
FLORIDA
Florida Atlantic University
Florida International University
Florida State University, Tallahassee ...
University of Central Florida
University of Florida
University of North Florida
University of South Florida:
St. Petersburg
Sarasota
Tampa
University of West Florida
See footnotes at end of table.
39,226
18.431
7,849
5.440
17.017
11.708
22.024
10.827
30,887
26,528
9,524
23,390
7,396
30.616
22.880
1,240
17.181
4
35.403
8,799
3.744
18.239
3,746
18,651
10,251
12,677
5.294
4
3,450
9,507
6.888
28.524
2,251
12.667
4.867
13,779
4.493
12.415
5.727
10.945
14.673
23.093
28.424
21.873
36.447
9.073
7.521
III
213
349
212
58
99
43
230
91
778
409
145
149
173
1,416
1,528
44
825
42
1.481
485
300
849
568
604
428
141
155
360
55
24
35
901
304
300
102
89
165
216
13
120
446
153
951
190
445
843
309
1,411
90
39
40
664
87
72
25
3
16
18
61
125
661
54
15
77
1
58
95
53
21
16
7
14
6
162
13
25
32
1
1
60
2
20
.93
32
271
203
273
200
45
47
42
190
79
583
333
139
131
148
1,313
1.371
35
734
42
720
394
262
630
557
542
331
79
133
333
47
10
27
731
289
272
70
81
164
139
11
96
347
115
658
166
336
743
258
1.291
77
32
39
561
76
6
53
10
7
17
12
123
51
3
4:
32
I
23
100
37
23
142
10
4
2
9
7
17
13
56
45
7
68
1
158
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University /College
Student
enroll-
ment1
Violent2
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property1
crime
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
GEORGIA
Abraham Baldwin College
Agnes Scott College
Albany State College
Armstrong State College
Augusta College
Berry College
Brunswick College
Clark Atlanta University
Clayton State College
Columbus College
Dalton College
Emory University
Fort Valley State College
Georgia College
Georgia Institute of Technology -
Georgia Southern University. . . .
Georgia State University
Kennesaw College
Medical College of Georgia
Mercer University
Middle Georgia College
North Georgia College
Savannah State College
Southern College of Technology.
South Georgia College
University of Georgia
Valdosla Slate University
Wesleyan College
West Georgia College
ILLINOIS5
INDIANA
Ball State University
Indiana State University
Indiana University:
Bloominglon
Gary
Indianapolis
New Albany
Purdue University
IOWA
Iowa Stale University
University of Northern Iowa. . . .
KANSAS'
KENTUCKY
Eastern Kentucky University. . . .
Jefferson Community College. . .
Kentucky State University
Morehead Stale University
Murray State University
Northern Kentucky University . .
University of Kentucky
University of Louisville
Western Kentucky University . . .
LOUISIANA
Grambling State University
Louisiana State University:
Baton Rouge
Medical Center
See footnotes at end of table
2.851
619
3,106
4,839
5,526
1,745
1,835
4,480
4,862
4,998
2,883
9.958
2,537
5,501
12.814
14,030
24,050
11.661
4.117
6,342
1.878
2,794
2,872
3.907
1.495
28.493
7.860
484
7,714
21,235
12,270
36.071
4
28,342
37,746
25,695
13,305
16,811
11,858
2,541
9,161
8.163
11.871
23,699
21,987
15,653
7,533
27,358
2,907
20
48
4h
60
23
26
48
48
68
24
226
41
55
7
641
34
102
973
261
562
48
286
107
54
8
131
72
24
657
222
26
200
770
450
1,027
62
567
40
867
672
172
223
4
36
135
114
66
814
522
205
173
795
116
26
3
4
183
7
17
3
7
4
6
1
27
29
3
22
41
1
35
128
15
153
4
37
184
1
58
17
13
44
46
65
23
183
40
43
6
602
31
98
748
254
538
41
267
103
48
7
100
42
21
627
179
25
162
629
426
856
47
546
40
820
580
159
209
4
33
116
95
64
714
480
198
571
112
1
1
1
1
1
5
1
13
3
4
42
159
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University/College
Student
enroll-
ment1
Violent2
crime
total
Violent cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property1
crime
total
Property crime
Burglary
Larceny -
theft
Motor
vehicle
theft
LOUISIANA— Continued
Louisiana Tech. University
McNeese State University
Northeast Louisiana University
Northwestern State University
Southeastern Louisiana University
Southern University and A & M College
Baton Rouge
MAINE
University of Maine. Orono
University of Southern Maine
MARYLAND
Bowie State University
Coppin State University ,
Frostburg State University
Morgan State University
St. Mary"s College
Salisbury State University
Towson State University
University of Baltimore
University of Maryland:
Baltimore City
Baltimore County
College Park
Eastern Shore
MASSACHUSETTS
Boston College
Boston University
Brandeis University
Emerson College
Framingham State College
Massachusetts College of Art
Massachusetts Institute of Technology . .
North Adams State College
Northeastern University
University of Massachusetts:
Amherst
Harbor Campus, Boston
Worcester
Wentworth Institute of Technology
MICHIGAN
Central Michigan University
Eastern Michigan University
Ferris State University
Grand Valley Slate University
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University
Northern Michigan University
Saginaw Valley Slate University
University of Michigan:
Ann Arbor
Rint
MINNESOTA
University of Minnesota, Twin Cities. . .
See footnotes at end of table.
10.189
5
8.438
2
11.732
7
8,420
8
12.759
5
10,403
20
12,315
10,077
4,809
2.944
5.295
5,402
1.510
6.022
15.230
5.841
10,650
32,916
2,430
14,450
28,375
3.848
3,068
5,142
1,806
9.798
2,144
27.586
24,185
13,093
17.268
24,096
12,071
12,736
2,755
21.204
26,498
39,138
6,961
8,820
6,705
35,476
5,947
39
212
105
261
184
184
298
113
40
63
76
216
60
193
314
231
621
262
1.344
127
305
577
466
97
149
108
132
1.381
81
135
116
1,652
102
1 .350
331
11
829
84
129
9
75
9
32
12
33
697
13
35
8
398
20
786
305
114
8
154
4
43
4
6
250
2
10
6
160
5
181
75
255
162
165
290
274
103
18
21
2
55
3
72
65
146
3
57
10
181
64
242
17
204
28
575
51
203
177
1,113
16
110
293
551
447
92
144
106
122
1.090
79
123
107
1.459
96
1.261
306
14
722
23
P0
65
1
■w
33
657
27
26
1
373
5
458
23
105
1
145
5
38
1
160
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University/College
Student
enroll-
ment1
Violent-
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Properly3
cnme
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSISSIPPI
Itawamba Community College .
Mississippi State University . . .
University of Mississippi:
Medical Center
Oxford
MISSOURI
Lincoln University
University of Missouri:
Columbia
St. Louis
Washington University
MONTANA'
NEBRASKA
University of Nebraska:
Kearney
Lincoln
3,237
14,619
1.631
11,038
4,030
23,418
14,918
11,572
NEVADA
University of Nevada:
Las Vegas
Reno
NEW HAMPSHIRE
University of New Hampshire
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Kean College
Middlesex County College
Monmouth College
Montclair State College
New Jersey Institute of Technology -
Rowan College
Rutgers University:
Camden
Newark
New Brunswick
Stockton Stale College
Trenton Stale College
University of Medicine and Dentistry
Camden
Newark
Piscataway
William Paterson College
NEW MEXICO
Eastern New Mexico University
New Mexico Highlands University. . .
New Mexico Stale University
NEW YORK
Cornell University
Ithaca College
Rensselaer Polytechnic Institute
See footnotes at end of table.
8,371
24,573
18,694
1 1 .894
13,872
12,409
7.084
8.474
12.497
11.794
4,195
13.595
7.697
9,849
5,214
9,761
33.577
5,683
7.162
9,386
3,909
2,807
15,500
6.259
6.988
37
41
383
165
215
595
140
418
89
687
403
309
76
85
525
719
178
279
99
129
76
31
5
25
2
194
31
55
2
126
12
338
21
140
8
155
23
102
3
289
43
769
44
71
9
213
29
14
1
602
3
82
10
133
7
30
353
150
162
528
132
375
76
624
276
173
69
33
16
148
52
107
246
113
120
76
231
708
60
158
12
560
71
116
51
71
438
620
178
251
15
1
28
7
7
15
1
7
71
19
12
23
15
17
2
26
1
39
I
10
161
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
Student
enroll-
ment1
S3 «
Violent crime
Property s
crime
total
Property crime
University/College
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
NEW YORK— Continued
Slate University of New York:
19,001
11,966
25.357
4
4
899
17,125
4
3.435
2,278
8,799
4
9,227
12,104
6,991
1,456
4.889
5,651
8,086
4,109
5,927
266
8,555
6.160
4,562
3,949
2,550
12,065
1.246
6.102
1.550
11.426
19.264
2,019
3,902
1.354
7.723
5.681
310
27.766
3,041
4,465
3,240
23.977
15.781
13.230
8.804
5.630
6,837
2.728
12.289
18.173
17.813
17
5
9
2
1
3
4
1
3
2
5
2
1
5
7
1
9
5
2
1
7
2
2
503
276
703
140
191
63
724
399
133
163
99
160
84
183
307
123
15
122
147
106
91
131
13
204
101
161
147
31
188
10
52
67
982
386
68
130
19
294
233
49
827
61
23
51
828
388
291
267
228
123
48
244
479
360
144
58
187
46
4
51
57
1
40
2
29
41
10
32
50
II
17
5
4
21
24
356
218
486
94
187
12
650
398
93
161
70
114
74
150
238
112
15
105
139
102
66
107
13
191
93
157
134
30
165
8
43
48
880
354
17
111
12
243
189
42
724
46
20
49
785
307
258
241
175
99
32
231
457
287
3
Binghaniton
3
2
Buffalo
30
Downstate Medical Center
Maritime College
3
1
2
1
2
1
1
2
1
17
Upstate Medical Center
State University of New York
Agricultural and Technical College:
Alfred
2
2
2
Cobleskill
2
5
1
19
1
2
State University of New York College:
Brockport
3
5
2
Buffalo
Cortland
Environmental Science and Forestry
2
6
5
3
1
1
1
3
New Paltz
5
4
1
Old Westbury
1
4
2
Optometry
1
1
1
1
11
8
3
4
1
22
1
8
17
92
28
51
17
7
44
43
7
93
12
!
2
31
75
26
26
49
23
12
5
21
23
2
1
9
2
1
1
NORTH CAROLINA
Appalachian State University
16
1
15
1
1
1
2
10
4
Beaufort County Community College
Davidson College
2
22
II
6
9
2
12
7
5
4
10
3
1
4
5
1
Elizabeth City State University
Fayetteville State University
1
2
Mars Hill College
North Carolina A & T State University,
Greensboro
30
14
II
7
19
7
7
1
North Carolina Central University,
2
North Carolina School of the Arts
North Carolina State University, Raleigh
Pembroke State University
43
1
3
12
28
1
10
1
University of North Carolina:
Asheville
Chapel Hill
22
7
23
5
3
6
1
4
II
17
8
2
2
14
3
20
5
2
4
1
3
7
12
6
7
2
1
3
Wake Forest University
1
2
4
1
4
8
1
50
Western Carolina University
Winston-Salem Slate University
NORTH DAKOTA
University of North Dakota
1
3
1
OHIO
Bowling Green Stale University
1
16
Cleveland State University
See footnotes at end of table.
162
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University/College
Student
enroll-
ment1
Violent2
crime
total
Violent cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
crime
total
Property crime
Burglary
Larceny -
theft
Motor
vehicle
theft
OHIO— Continued
Kent State University, Main Campus . . .
Lakeland Community College
Marietta College
Miami University
Ohio State University
Ohio University
University of Akron
University of Cincinnati
University of Toledo
Wright State University
Youngstown State University
OKLAHOMA
Cameron University
East Central University
Murray State College
Northeastern Oklahoma State University
Oklahoma State University:
Main Campus
Okmulgee
Southeastern Oklahoma Slate University
Tulsa Junior College
University of Central Oklahoma
University of Oklahoma:
Health Science Center
Norman
PENNSYLVANIA
Beaver County Community College. . .
Bloomsburg University
California University
Cheyney University
Clarion University
East Stroudsburg University
Edinboro University
Elizabethtown College
Indiana University
Kutztown University
Lehigh University
Lock Haven University
Millersville University
Moravian College
Pennsylvania Stale University:
Behrend College
Capitol Campus
University Park
Shippensburg University
Slippery Rock University
University of Pittsburgh, Bradford
West Chester University
RHODE ISLAND
Brown University
University of Rhode Island
SOUTH CAROLINA
Clemson University
Denmark Technical College
Francis Marion University
Medical University of South Carolina . -
South Carolina Stale University
University of South Carolina:
Coastal Carolina
Columbia
Spartanburg
Winthrop University
See footnotes at end of table.
24.098
9,174
1.379
16,098
52.179
18.862
27.063
28.779
24,539
16.749
14,806
6.120
4.451
1.491
9.246
19,602
2,114
4.027
19.583
15.167
3.102
21,724
7,593
15.449
17,666
597
3.975
2.290
5,071
4,023
26,471
3,539
5.025
2.282
7.551
4
6.484
2
1.548
6
1.668
5.352
5
8.202
1.845
14,357
6
7.791
1
6.349
21
3,895
1
7.791
1,793
4
4
38.446
22
6,688
4
7.777
2
1,309
2
11,806
9
398
52
57
378
1.578
367
581
945
477
407
144
30
30
25
173
250
56
28
47
146
50
519
12
82
99
59
97
87
96
23
204
116
224
54
98
63
45
39
738
79
98
16
141
558
271
389
4
63
553
152
49
600
26
89
287
18
21
134
25
20
125
25
387
51
39
376
1,257
348
532
800
443
385
141
24
24
13
[25
195
54
47
136
46
442
12
68
96
49
97
84
92
20
180
114
212
52
91
51
41
39
692
66
93
15
131
430
236
344
3
55
533
43
563
23
79
34
1
I I
9
3
10
14
1
163
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University/College
Student
enroll-
ment1
Violent2
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
crime
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
SOUTH DAKOTA
South Dakota State University
TENNESSEE
East Tennessee State University
Middle Tennessee State University
University of Tennessee:
Knoxville
Martin
Memphis
TEXAS
Alamo Community College
Alvin Community College
Amanllo College
Angelo Stale University
Austin College
Baylor University
Baylor University Medical Center
Central Texas College
College of the Mainland
Eastfield College
East Texas State University, Commerce
Hardin-Simmons University
Houston Baptist University
Houston Community College
Lamar University, Beaumont
Laredo Community College
McLennan Community College
Midwestern State University
North Lake College
Paris Junior College
Prairie View A & M University
Rice University
Richland College
Southern Methodist University
South Plains College
Southwestern University
Southwest Texas State University
Stephen F Austin State University
Sul Ross State University
Tarleton State University
Texas A & M University:
College Station
Corpus Christi
Galveston
Kingsville
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas State Technical College:
Amarillo
Harlingen
Waco
Texas Tech. University:
Health Science Center
Lubbock
Texas Woman's University
Trinity University
Tyler Junior College
University of Houston:
Central Campus
Ciearlake
Downtown Campus
University of North Texas
See footnotes at end of table.
11,711
16,787
26.579
5,646
2,001
3.904
6.553
6,102
1,146
12,179
4
6.217
3,875
10,151
1,950
2,201
37,410
10.687
5,943
6,006
5,764
7,212
2,492
5,660
4.251
13,117
8,978
5,960
1,204
21,302
12,721
2,706
6,425
1,278
6,414
6,728
416
10,777
560
3,228
3.379
1.263
24.154
9.636
2.511
8,367
33,022
6,681
8,092
26,433
192
282
552
107
195
408
21
52
46
35
265
197
79
49
112
121
55
31
133
118
78
19
74
32
35
257
217
68
148
42
24
330
300
39
69
727
35
17
146
91
35
258
32
34
280
199
542
59
180
58
488
21
112
389
179
253
504
104
143
355
21
42
41
34
219
181
76
48
107
94
40
22
109
95
62
16
57
31
26
172
175
62
136
29
22
265
238
26
54
645
33
7
94
75
33
204
28
29
217
174
480
55
124
42
433
19
97
368
36
U
2
13
15
5
6
27
11
2
8
1
15
4
<7
I
II
:
164
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University /College
Student
enroll-
ment1
Violent2
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property3
crime
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS — Continued
University of Texas:
Arlington
Austin
Brownsville and Texas Southmost College
Dallas
El Paso
Health Science Center, San Antonio
Health Science Center, Tyler
Houston
Medical Branch
Pan American
Permian Basin
San Antonio
Southwestern Medical School
Tyler
West Texas State University
UTAH
Bngham Young University
College of Eastern Utah :
Salt Lake Community College
Southern Utah University
University of Utah
Utah State University
Utah Valley State College
Weber Stale University
VERMONT
University of Vermont
VIRGINIA
Christopher Newport College
Clinch Valley College
College of William & Mary
George Mason University
Hampton University
James Madison University
Longwood College
Mary Washington College
Norfolk State University
Northern Virginia Community College
Old Dominion University
Radford University
Thomas Nelson Community College
University of Richmond
University of Virginia
Virginia Commonwealth University
Virginia Military Institute
Virginia Polytechnic Institute and State
University
Virginia State University
Virginia Western Community College
WASHINGTON
Central Washington University
Eastern Washington University
University of Washington
Washington State University
Western Washington University
WEST VIRGINIA
Concord College
Glenville State College
See footnotes at end of table
24,729
49,253
7,000
8.993
17,223
2,573
3,203
2.112
4
2,281
16.767
1.634
1,613
6.040
32.289
2.743
17.024
4.060
26,795
16,513
9,619
14,993
10.885
4,880
1.839
7.766
20.829
5,582
11.343
3,287
3,696
8,624
38.343
16.507
9,470
7,815
4,678
21,535
21,939
1.265
26.003
4.435
6.626
7.685
8.356
34,597
17.871
10.145
2,960
2.346
313
797
60
47
265
76
28
307
274
164
18
165
107
47
133
484
46
113
91
649
264
186
112
41
15
317
496
105
220
129
132
187
110
315
156
23
162
619
803
19
393
66
6
364
126
1.088
406
259
276
746
47
45
238
72
28
298
254
127
18
148
105
40
94
466
42
109
65
614
250
161
106
40
13
300
415
72
175
126
128
156
108
282
150
23
149
597
767
19
352
57
324
113
953
356
236
7
36
10
12
3
6
14
in
I
I
10
6
4
2
22
1
5
1 1
22
9
5
165
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1994 — Continued
University/College
Student
enroll-
ment '
Violent2
crime
total
Violent crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property1
crime
total
Property crime
Burglary
Larceny-
theft
Motor
vehicle
theft
WEST VIRGINIA— Continued
Marshall University
West Liberty State College
West Virginia State College
West Virginia Tech
West Virginia University
WISCONSIN
University of Wisconsin:
Eau Claire
Green Bay
La Crosse
Madison
Milwaukee
Oshkosh
Parkside
PlatteviUe
Stout
Superior
Whitewater
WYOMING
Sheridan College
University of Wyoming .
13,093
2,377
4,793
3,051
22,712
10.635
5,205
8.648
41,824
24,991
11.062
5,174
5,532
7,625
2,966
11.030
12.044
160
33
35
22
396
190
71
126
829
471
165
90
90
122
39
168
152
30
23
16
347
189
64
88
729
438
158
88
89
108
39
146
61
236
13
I
7
I
■The student enrollment figures provided by the United States Department of Education are for 1992. the most recent year available. The enrollment figure includes full-time and part-time students
See Appendix I for details.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
3Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
4Student enrollment figures were not available.
'Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. "See Offense Estimation," pages 377-378
for details.
NOTE: Caution should be exercised in making any inter-campus comparisons or ranking schools, as 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 outside visitors, size of enrollment, etc.
166
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994
[The data shown in (his table do not reflect county totals but are the number of offenses reported by the sheriff's office, county police department, or state police.]
* Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
County by Stale
Crime
Index
total
Modified*
Crime
Index
total
Mulder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Autauga
Baldwin
Blount
Calhoun
Colbert
Dale
Elmore
Etowah
Houston
Jefferson
Lauderdale
Lawrence
Limestone
Madison
Mobile
Montgomery
Morgan
Russell
St Clair
Shelby
Tuscaloosa
ARIZONA
Maricopa
Mohave
Pima
Pinal
ARKANSAS
Benton
Cnttenden
Faulkner
Jefferson
Lonoke
Miller
Pulaski
Saline
Sebastian
Washington
CALIFORNIA
Alameda
Alameda Highway Patrol
Alameda State Police
Butte
Butte Highway Patrol
Butte Slate Police
Contra Costa
Contra Costa Highway Patrol .
Contra Costa State Police
El Dorado
El Dorado Highway Patrol
Fresno
Fresno Highway Patrol
Fresno State Police
Kern
Kern Highway Patrol
Kern Stale Police
Los Angeles
Los Angeles Highway Patrol . .
Los Angeles State Police
Madera
Madera Highway Patrol
166
936
229
548
207
177
902
448
426
6,247
177
44
333
1.621
3,226
888
575
462
347
191
1.900
7,069
2,000
15.788
2.091
992
642
651
550
197
318
2,655
934
287
415
5.569
93
143
3,593
335
53
6,393
288
17
3.113
238
9,656
109
97
16,763
173
21
42,734
758
389
2,031
198
906
453
1,623
7,093
2,043
15.909
2,104
993
646
651
554
197
320
2.690
934
288
419
143
3,727
60
6.432
17
3,140
99
17.667
21
43,236
389
2,077
7
20
2
7
2
1
8
5
5
145
1
1
3
21
55
19
3
2
1
7
29
80
9
151
17
1
199
17
240
6
75
10
97
26
34
101
10
38
606
9
8
42
213
331
125
23
26
40
7
205
448
102
566
202
72
176
17
36
1
47
461
29
27
1.232
1
6
327
2
5
462
289
1.449
4
1
2,027
1
1
10.511
343
23
112
75
291
100
223
78
57
315
150
78
1.587
94
12
76
450
944
251
251
153
103
92
499
256
210
246
215
76
71
779
336
72
197
982
21
1.378
9
1.930
2
1.342
2.775
21
4.421
6
8.417
61
499
101
205
89
74
431
263
267
3,320
61
14
175
853
1.709
437
255
241
179
51
1,024
1.753
3,948
861
841
2.296
11.416
711
960
58
984
591
181
352
221
49
159
1,101
432
165
177
2.338
17
106
1.771
60
38
3.721
20
12
1,424
42
3,379
9
64
7,979
74
14
11,072
23
256
857
30
17
39
9
14
10
9
39
16
32
509
10
5
31
65
154
50
35
34
18
29
125
788
173
1.254
160
53
42
27
54
71
32
187
106
16
28
747
75
9
16
273
268
3
23
196
1.713
96
11
1,766
8.167
392
46
6
168
167
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Slate
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CALIFORNIA— Continued
Marin
Mann Highway Patrol
Merced '.
Merced Highway Patrol
Merced State Police
Monterey
Monterey Highway Patrol
Napa
Napa Highway Patrol
Orange
Orange Highway Patrol
Orange State Police
Placer
Placer Highway Patrol
Riverside
Riverside Highway Patrol
Riverside State Police
Sacramento
Sacramento Highway Patrol
Sacramento State Police
San Bernardino
San Bernardino Highway Patrol
San Bernardino State Police
San Diego
San Diego Highway Patrol
San Diego Slate Police
San Joaquin
San Joaquin Highway Patrol
San Joaquin State Police
San Luis Obispo
San Luis Obispo Highway Patrol
San Mateo
San Mateo Highway Patrol
San Mateo State Police
Santa Barbara
Santa Barbara Highway Patrol
Santa Barbara Stale Police
Santa Clara
Santa Clara Highway Patrol
Santa Clara Slate Police
Santa Cruz
Santa Cruz Highway Patrol
Shasta
Shasta Highway Patrol
Shasta Slate Police
Solano
Solano Highway Patrol
Solano State Police
Sonoma
Sonoma Highway Patrol
Sonoma State Police
Stanislaus
Stanislaus Highway Patrol
Stanislaus State Police
Sutter
Sutter Highway Patrol
Tulare
Tulare Highway Patrol
Ventura
Ventura Highway Patrol
Ventura State Police
Yolo
Yolo Highway Patrol
Yolo State Police
Yuba
Yuba Highway Patrol
1,584
112
2,209
419
7
2,940
194
719
59
4,184
92
44
3,657
219
22,821
68
51
36,579
10,142
967
13,591
87
94
26.852
104
99
6,095
936
44
2.294
166
3.214
151
12
3,863
208
2
3.614
66
45
4.699
302
2.240
246
47
832
103
6
4,810
592
126
6.248
757
8
1.387
68
5,221
747
1.934
44
8
671
71
56
2,715
171
1.598
2.214
7
3.001
720
4,211
44
3,674
22,970
51
36,661
971
13.689
94
27.003
100
6.182
45
2,303
3,217
12
3,891
2
3.616
45
4.748
2,320
47
846
6
4,861
126
6.438
1.390
5,606
1,963
8
676
56
2.732
64
48
28
26
110
321
194
42
32
39
48
36
34
23
30
58
6
106
31
462
1.823
II
336
998
163
67
29
1
130
186
1
143
1
168
71
490
47
300
2.787
15
3.499
33
1.315
7
1
3.153
6
3
403
3
554
2
81
6
406
4
1
399
536
196
92
386
1.369
2
217
6
lis
363
795
819
274
14
1.165
7.003
75
4.880
26
7.786
20
2,174
7
633
1.016
1
764
7
1.204
832
12
324
1.585
12
1,948
2
453
1,744
559
2
252
7
838
985
16
1,205
29
6
1,854
21
352
14
2.075
23
27
2,110
64
9.365
9
26
19.741
641
748
5,019
12
63
10,455
18
69
3.240
92
31
1.044
42
1,670
20
10
1.677
43
2.113
5
32
2.812
73
1.095
56
27
394
2
2.700
169
106
2,671
86
6
672
5
2,660
63
903
16
5
268
17
40
1,239
13
9
95
389
1
14
173
8
45
525
22
3
21
153
3,044
44
6
331
9.501
99
1.896
68
4
4,222
80
7
57
844
2
6
122
336
125
I
II
161
235
61
22
229
46
190
4
3
101
25
423
6
68
669
28
684
168
22
1
9
54
9
12
158
168
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
ihefi
Motor
vehicle
theft
COLORADO
Adams . .
Arapahoe .
Boulder . -
Douglas . .
El Paso . .
Jefferson .
Larimer . -
Pueblo . . .
Weld ....
DELAWARE
New Castle Police Department .
FLORIDA
Alachua
Bay
Brevard
Broward
Charlotte
Clay
Collier
Dade
Escambia
Flagler
Gadsden
Hernando
Hillsborough
Lee
Leon
Manatee
Marion
Martin
Nassau
Okaloosa
Orange
Osceola
Palm Beach
Pasco
Pinellas
Polk
St. Johns
St. Lucie
Santa Rosa
Sarasota
Seminole
Volusia
GEORGIA
Barrow
Bibb
Bryan
Carroll
Catoosa
Chatham Police Department .
Cherokee
Clayton Police Department . . ,
Cobb Police Department
Coweta
DeKalb Police Department . .
Dougherty Police Department
Douglas
Fayette
Forsyth
4.020
3.214
1.025
1,228
2.830
4.406
1.561
941
1,890
1,877
588
1.693
235
1.744
828
2.967
1.913
10,235
16,248
1.131
46.057
381
1.893
605
2.446
4.045
3.264
1,060
1.254
2,840
4,470
1,575
949
1,910
8.949
5,826
5,842
3.748
3.757
7.925
7,970
11,428
11,477
3,876
3,884
4,186
4,186
8,184
8,232
137,689
137.850
13,988
14,053
727
728
1.248
1,250
4,421
4.448
39.773
39,907
10.026
10,047
3.571
3.583
11.493
11.567
6.343
6,365
4.357
4,368
1.230
1,236
3,592
3.592
39,072
39,121
4,732
4.742
30.527
30.692
9.680
9.740
14.377
14,460
17.244
17,244
2.961
2,964
2,676
2,694
3.157
3.167
9.894
9,926
7.325
7,340
6,448
6,486
589
1.699
235
1,755
828
2,978
1,947
10,287
16,309
1,148
46,241
381
1,915
608
2.450
6
6
6
13
1
6
13
162
17
1
7
1
36
18
1
79
31
54
83
17
55
96
730
127
9
11
36
224
130
41
91
102
67
27
22
242
52
221
104
101
82
9
24
40
38
50
64
3
1
1
10
4
29
9
51
121
20
208
161
135
26
102
436
100
47
246
7.021
515
5
57
36
1,047
204
91
306
97
82
16
45
1.381
86
677
101
201
331
35
47
13
127
163
92
15
10
51
13
288
380
16
2.159
6
15
4
9
292
40
59
40
294
62
28
46
109
637
358
846
1.394
225
449
751
11,605
1,931
41
153
524
3,143
707
477
1.628
1,263
335
205
306
4,003
430
2,760
884
1,264
1,394
368
258
406
24
42
II
131
23
167
89
461
620
72
1,099
5
64
8
159
769
776
339
288
651
1.085
319
303
487
1.576
694
1.828
2,297
956
656
2,442
23,392
3,337
232
375
988
7,660
2,329
1.194
2.531
1.898
1,096
331
721
8.338
1.843
6.818
2.404
3.161
5.312
705
719
953
2.439
1.764
2.161
2.444
2,192
529
856
1,700
2,960
1,109
557
1.111
3,002
2,493
4,597
5,567
2.355
2.693
4,037
72,578
7,468
417
474
2,646
22,272
5,405
1,484
6,284
2,591
2.594
558
2,342
21.398
2,057
16,979
5,596
8,797
8.102
1,702
1.414
1,570
6,099
3,924
2,923
211
296
376
1,145
52
158
479
963
105
518
531
1,940
414
1.236
1,893
6.464
2,898
10,707
268
630
9,389
26,506
131
218
344
1,301
130
409
491
1.591
437
154
66
28
142
237
59
26
137
391
140
492
1,638
222
280
599
22,201
593
22
171
190
5,391
1.233
283
645
384
177
91
151
3.685
256
3.046
588
848
1.998
136
207
172
502
532
455
46
102
II
141
168
246
146
1,070
1,509
124
6,628
17
163
51
183
169
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
GEORGIA— Continued
Fulton Police Department
Gwinnett Police Department
Harris
Henry Police Department
Houston
Jones
Lee
McDuffie
Newton
Oconee
Paulding
Peach
Richmond
Rockdale
Spalding
Twiggs
Walker
Walton
IDAHO
Ada
Canyon
ILLINOIS1-2
Cook
Lake
McHenry
Winnebago
INDIANA
Allen
Allen State Police
Clark
Clark State Police
Elkhart
Elkhart State Police
Howard
Howard State Police
Huntington
Huntington Stale Police
Lake
Lake State Police
Marion3
Marion State Police3
Porter
Porter State Police
St. Joseph
St. Joseph State Police
Tippecanoe
Tippecanoe State Police
Vanderburgh
Vanderburgh State Police
Warrick
Warnck State Police
IOWA
Black Hawk
Dubuque
Johnson
Linn
Polk
See footnotes at end of table.
9.700
16.400
198
2,361
1.193
275
376
307
1.707
471
1,279
233
6,775
2,241
880
91
1,219
410
2.177
947
357
374
427
568
1,327
9,733
16,489
2.365
1.193
276
377
308
1.709
472
1.288
235
6,779
2,245
881
91
1,330
410
2.199
957
2.026
2,026
153
153
523
523
218
218
2.426
2,432
184
186
690
693
23
23
178
178
31
31
1.045
1,045
306
308
20.160
20,238
383
385
903
904
55
55
2,718
2,727
145
151
1,099
1.105
133
135
833
836
58
59
680
685
32
33
357
377
429
569
1.341
133
5
3
1
8
4
6
1
5
1
4
I
299
332
7
41
17
3
2
3
25
1
5
5
325
22
13
1
12
2
495
9
7
1
21
712
323
1
164
199
17
11
41
62
19
17
59
538
436
92
1
53
101
65
214
138
37
119
21
19
13
41
409
43
165
5
31
10
85
88
241
97
33
12
59
28
172
23
83
9
6
7
30
36
64
53
108
2.044
2,604
77
512
230
92
131
63
434
111
286
60
1.704
412
216
53
378
102
454
256
860
654
302
705
417
17
163
47
561
28
167
6
39
4
219
26
3.545
5
168
1
598
33
161
18
106
2
128
4
158
115
119
5.422
11,917
95
1.441
686
140
214
171
1,105
309
860
95
3.091
1.212
477
35
676
249
1.478
537
2.590
1.611
729
1,268
1.349
79
315
90
1,290
83
321
11
106
12
479
96
13.990
163
604
31
1.929
66
719
76
624
39
528
16
150
199
216
284
818
1.129
1.158
14
174
51
20
16
25
77
26
97
12
1.019
148
74
2
91
41
129
70
370
262
59
150
210
30
27
38
137
22
25
I
1
2
247
93
1.741
103
85
9
102
14
36
15
12
7
13
3
9
17
22
37
124
170
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Stale
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
IOWA— Continued
Scott
Warren
Woodbury
KANSAS2
KENTUCKY
Bell
Bell State Police
Boone
Boone Police Department
Boone State Police
Bourbon
Bourbon Stale Police
Boyd
Boyd Police Department
Boyd State Police
Bullitt
Bullitt State Police
Campbell Police Department
Campbell State Police
Carter
Carter State Police
Christian
Christian Slate Police
Clark
Clark State Police
Daviess
Daviess State Police
Gallatin State Police
Grant
Grant State Police
Greenup
Greenup Stale Police
Henderson
Henderson State Police
Jefferson Police Department
Jefferson State Police
Jessamine
Jessamine Stale Police
Kenton Police Department
Kenton State Police
Madison
Madison State Police
Oldham Police Department
Oldham State Police
Pendleton
Pendleton State Police
Scott
Scott State Police
Woodford Police Department
LOUISIANA
Acadia
Ascension
Bossier
Caddo
Calcasieu
East Baton Rouge
Jefferson
Lafayette
Lafourche
Livingston
Ouachita
See footnotes at end of table.
474
386
306
518
1.675
930
1.655
5,418
10,766
30,823
1.658
1,736
895
1.915
475
391
306
57
58
193
200
242
243
808
811
9
9
8
8
159
159
286
287
26
27
251
252
402
404
99
105
239
240
7
7
2
2
415
433
506
509
43
43
212
213
28
28
501
504
188
193
24
24
12
13
300
305
139
139
164
168
334
336
114
117
14,442
14.503
11
12
281
281
74
81
271
274
2
2
200
200
437
442
519
519
23
23
17
17
80
81
144
145
32
32
227
227
518
1.678
933
1.660
5.434
10,802
30,995
1.667
1,742
901
1.920
5
6
9
17
63
48
150
21
9
6
13
1
1
1
300
2
8
5
28
82
188
1.203
36
45
9
12
152
119
7
8
5
76
13
7
1
77
5
74
12
28
2.065
2
11
20
58
6
135
44
7
78
58
62
169
493
503
1.981
164
105
129
155
156
114
108
14
50
38
203
47
62
5
52
126
23
55
1
119
147
17
60
10
113
85
6
2
76
62
38
103
40
2,936
82
126
168
7
8
II
35
9
65
278
232
125
35
34
162
510
4
5
53
149
18
98
244
27
127
4
79
200
12
132
8
285
73
9
8
119
65
38
208
38
8,151
8
157
20
115
1
108
126
274
6
6
18
79
11
112
104
303
400
1,145
237
551
422
925
1,113
3,417
1,579
7,779
4,962
18,835
508
877
359
1.133
458
248
802
856
12
15
15
5
13
13
37
21
2
16
22
4
9
1
1
22
25
5
10
3
17
12
1
I
25
7
8
8
3
888
1
16
3
16
4
27
28
1
1
8
15
2
2
26
50
62
88
243
654
3,648
47
79
39
75
171
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
LOUISIANA— Continued
Plaquemines
Rapides
St. Charles
St. James
St. John the Baptist
St. Landry
St. Martin
St. Tammany
Terrebonne
Webster
West Baton Rouge
MAINE
Androscoggin
Androscoggin State Police
Cumberland
Cumberland Slate Police
MARYLAND
Allegany
Allegany Stale Police
Anne Arundel Police Department. . . .
Anne Arundel State Police
Baltimore County Police Department
Baltimore County State Police
Calvert
Calvert State Police
Carroll
Carroll State Police
Cecil
Cecil State Police
Charles
Charles State Police
Frederick
Frederick State Police
Harford
Harford State Police
Howard Police Department
Howard State Police
Montgomery
Montgomery Police Department
Montgomery State Police
Pnnce George's
Prince George's Police Department .
Prince George's State Police
Queen Anne's
Queen Anne's State Police
Washington
Washington State Police
MASSACHUSETTS
Barnstable State Police
Berkshire State Police
Bristol State Police
Essex State Police
Hampden State Police
Hampshire State Police
Middlesex State Police
Norfolk State Police
Plymouth State Police
Suffolk State Police
673
2,050
2.111
499
1.675
902
616
3.629
3,291
183
608
460
53
683
131
114
532
17.656
261
44.806
144
916
481
49
1,959
565
1,007
4,373
269
889
1,046
3,279
864
8.795
65
30
33.125
61
7
47.625
164
351
467
814
425
61
118
143
69
44
29
50
105
122
264
674
2.051
2.117
499
1,684
907
618
3,648
3,310
183
614
460
53
701
131
114
540
17.747
261
45.256
144
916
498
49
1,979
565
1.024
4.373
330
889
1.086
3.279
888
8.795
104
30
33.530
61
7
47,953
164
351
480
814
464
5
107
6
281
5
6
5
380
1
1
6
510
3
2.165
2
9
7
23
4
12
121
7
17
14
53
31
147
2
3.498
6
2
2
II
II
125
554
348
97
106
69
29
337
286
25
84
13
49
1,017
23
4,711
33
101
78
1
115
74
153
414
26
50
94
198
65
392
II
30
1.050
26
7
3.385
31
39
49
79
29
161
476
425
82
380
234
170
943
1,081
62
152
160
18
275
48
23
99
3,138
8
7.233
3
214
86
7
474
156
252
760
33
182
175
764
187
1.247
1
4,503
1
8.925
8
102
133
145
339
848
1,136
294
1.012
529
386
2.043
1,678
82
315
263
29
314
68
71
339
11.255
178
24.129
84
551
290
39
1.207
289
509
2.681
166
568
691
2.004
491
5.821
47
23.178
28
22,965
79
193
253
539
263
9
49
17
14
14
14
3
16
13
180
36
137
135
9
104
46
20
228
173
6
39
28
4
53
9
7
34
1.621
43
6.256
17
34
14
2
118
36
73
375
34
65
60
233
83
1,155
2
3.298
6
8.357
39
14
22
28
31
9
7
89
40
8
1
22
44
61
50
172
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Slate
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN
Bay
Bay Slate Police
Berrien
Bernen State Police
Calhoun
Calhoun State Police
Clinton
Clinton State Police
Eaton
Eaion State Police
Ingham
Ingham Stale Police
Jackson
Jackson State Police
Kalamazoo
Kalamazoo Stale Police
Kenl
Kenl State Police
Lapeer
Lapeer State Police
Lenawee
Lenawee State Police
Macomb
Macomb State Police
Midland
Midland State Police
Monroe
Monroe Stale Police
Muskegon
Muskegon State Police
Oakland
Oakland State Police
Ottawa
Ottawa State Police
Saginaw
Saginaw State Police
St Clair
St. Clair State Police
Van Buren
Van Buren State Police
Wayne
Wayne State Police
MINNESOTA
Anoka
Benton
Carver
Chisago
Clay
Dakota
Hennepin
Houston
Isanti
Olmsted
Polk
Ramsey
St. Louis
Scott
Sherburne
Stearns
Washington
Wnght
MISSISSIPPI
Forrest
Harrison
830
477
885
770
319
236
464
53
2.294
116
1.453
218
1.260
480
2,495
43
4,334
702
762
231
848
238
2,114
213
734
6
3,341
531
1,460
483
6,755
460
2,350
430
1.276
624
1.991
314
1.061
1.121
42
213
528
266
329
1.068
142
218
215
78
256
469
186
271
849
274
504
791
1.295
1.198
489
1,100
838
484
891
786
321
243
465
53
2,298
118
1,460
223
1,277
480
2,503
47
4,359
705
764
239
855
241
2,114
221
740
3.379
546
1,467
486
6.839
465
2.367
439
637
2.023
321
1,072
1.156
44
224
533
270
331
1,068
142
222
219
78
256
470
187
276
861
275
506
791
1.295
1.199
493
1.110
51
21
22
1
47
10
26
5
50
15
3
39
46
20
4
7
13
1
21
5
8
1
30
9
9
2
17
1
1
22
28
104
64
37
21
19
2
101
10
93
9
164
97
68
1
199
22
21
24
42
12
94
24
75
1
235
48
56
41
621
50
72
25
162
82
104
22
38
119
3
49
226
84
220
153
83
67
94
15
319
25
324
15
251
82
489
8
915
133
200
67
265
71
302
26
155
1
603
104
326
115
1.007
118
448
90
189
96
415
101
383
396
3
23
44
180
50
57
31
14
86
154
80
37
349
43
98
188
295
250
173
601
518
307
460
454
179
115
306
34
1,671
58
886
156
727
255
1,743
29
2.930
497
508
116
480
127
1.519
138
474
1
2.171
325
953
278
4.677
251
1,642
275
832
364
1.292
165
530
484
27
85
315
143
235
744
76
122
131
60
122
252
81
206
403
185
316
536
847
853
46
26
58
58
11
9
24
2
124
8
78
15
61
15
129
2
202
26
26
10
34
18
159
13
12
254
320
240
27
84
19
317
18
98
22
61
32
115
13
74
81
5
18
51
22
24
98
4
19
15
2
37
36
16
16
44
24
60
47
120
62
24
71
173
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSISSIPPI— Continued
Hinds
Madison
Rankin
MISSOURI
Andrew
Boone
Buchanan
Christian
Clay
Franklin
Greene
Jackson
Jasper
Jefferson
Platte
St. Charles
St. Louis Police Department
Warren
Webster
MONTANA2
NEBRASKA
Cass
Cass State Patrol
Dakota
Dakota State Patrol
Douglas
Douglas State Patrol
Lancaster
Lancaster State Patrol
Sarpy
Sarpy State Patrol
Washington
Washington State Patrol
NEVADA
Nye
Washoe
NEW HAMPSHIRE
Rockingham Slate Police
Strafford Stale Police
NEW JERSEY
Atlantic State Police
Bergen State Police
Burlington State Police
Camden State Police
Cape May State Police
Cumberland State Police
Essex Police Department
Essex State Police
Gloucester Slate Police
Hudson Stale Police
Hunterdon State Police
Mercer Stale Police
Middlesex State Police
Monmouth Slate Police
See footnotes at end of table.
708
788
954
180
786
221
339
250
1,565
1.492
1.130
507
3.620
414
1,947
15.015
268
222
310
10
121
2
1.784
10
564
20
747
12
118
1
637
2.181
1.010
280
693
45
464
942
509
123
12
31
271
292
146
377
711
801
975
180
792
226
341
250
1,565
1,502
1.136
508
3,661
414
1,952
15.085
269
226
310
10
121
2
1,803
10
569
20
748
12
119
1
644
2,200
1.018
281
717
47
470
959
516
125
12
31
273
292
146
381
1
3
1
2
1
9
16
II
4
20
2
II
282
17
5
16
4
6
15
117
10
25
45
52
1
31
116
52
154
319
42
152
661
21
31
2
1
101
4
II
4
29
183
190
38
26
43
4
44
111
41
13
3
2
12
7
19
23
315
240
345
123
1
124
179
578
141
29
173
6
131
353
19
7
2
3
86
29
16
93
309
414
472
41
104
174
521
56
102
91
219
124
80
658
647
331
983
311
583
213
244
945
1,961
109
221
414
1,231
2.070
10.493
114
120
85
79
220
7
75
1.261
4
395
12
540
II
70
229
1.192
766
162
378
23
251
386
149
79
7
18
145
224
si i
63
8
27
6
20
8
121
94
64
44
335
31
119
1.427
12
25
1
126
1
29
3
42
I
12
41
178
47
58
76
7
28
58
161
14
5
24
24
24
33
174
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Morns State Police
Ocean State Police
Passaic State Police
Salem State Police
Somerset State Police
Sussex State Police
Union Slate Police
Warren State Police
NEW MEXICO
Dona Ana
Sandoval
NEW YORK
Albany
Albany State Police
Broome
Broome State Police
Cayuga
Cayuga State Police
Chemung
Chemung Slate Police
Dutchess
Dutchess Slate Police
Erie
Erie Slate Police
Genesee
Genesee State Police
Herkimer
Herkimer State Police
Livingston
Livingston State Police
Madison
Madison State Police
Monroe
Monroe State Police
Montgomery .
Montgomery State Police
Nassau
Nassau Slate Police
Niagara
Niagara State Police
Oneida
Oneida State Police
Onondaga
Onondaga State Police
Ontario
Ontario Slate Police
Orange
Orange Slate Police
Oswego
Oswego State Police
Putnam
Putnam State Police
Rensselaer
Rensselaer State Police
Rockland
Rockland State Police
Saratoga
Saratoga State Police
Schenectady
Schenectady Slate Police
Schoharie
66
133
54
498
21
581
66
231
1,749
219
68
135
54
505
21
583
66
233
1,768
221
123
126
347
350
1.154
669
676
385
391
524
963
963
331
338
1.041
1.223
1.932
866
872
537
547
148
150
10
10
367
376
505
511
97
98
104
105
495
503
5.239
5.251
362
267
269
168
170
6.619
27.023
47
1,754
1,763
385
392
923
929
880
889
2.973
1.150
973
429
431
14
14
1.285
1.307
798
833
687
691
359
175
179
501
526
549
551
92
92
52
1.164
714
721
77
78
64
64
1
1.007
3
21
2
4
2
65
10
6
1
1
23
2
1
1
4
6
1
2
1
7
5
4
16
9
28
?
49
136
3
9
34
139
5
5
18
66
28
20
44
41
21
50
49
63
40
171
245
58
16
20
32
17
6
9
75
II
28
5
866
18
92
9
111
52
74
14
18
5
9
100
4
10
15
10
80
33
1
9
30
37
658
48
34
94
294
177
131
84
163
50
242
226
209
178
161
25
2
159
94
15
21
165
523
21
58
50
3.915
8
375
86
250
256
536
210
222
55
1
190
230
235
136
47
123
160
1
5
294
193
37
91
21
254
4
355
23
113
776
96
56
211
771
421
220
368
721
201
713
768
1,352
582
319
91
6
148
359
62
75
302
4.255
311
173
108
15.188
15
1.114
263
495
540
2.096
871
686
361
3
876
522
430
194
106
268
326
88
26
788
453
1
52
40
119
II
5
18
40
20
II
15
19
9
37
32
103
37
30
7
1
19
13
3
1
II
314
15
7
3
5,553
3
134
21
25
24
155
41
34
5
175
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
.ISS.IIlll
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK— Continued
Schoharie State Police . .
Warren „
Warren State Police
Washington
Washington State Police .
Wayne
Wayne State Police
Westchester
Westchester State Police
NORTH CAROLINA
Alamance ....
Alexander ....
Buncombe . . .
Burke
Cabarrus
Caldwell
Catawba
Chatham
Cumberland . .
Currituck ....
Davidson ....
Davie
Durham
Edgecombe. . .
Forsyth
Franklin
Gaston
Guilford
Johnston
Lincoln
Nash
New Hanover.
Orange
Pitt
Randolph ....
Rowan
Stokes
Union
Wake
Wayne
Yadkin
NORTH DAKOTA
Burleigh
Cass
Grand Forks .
Morton
OHIO
Allen
Ashtabula . . .
Auglaize
Clark
Clermont . . .
Columbiana
Crawford . .
Delaware . .
Franklin . .
Fulton
Geauga
Greene ....
Hamilton . .
222
1.063
199
268
242
845
776
412
649
1.297
576
2.240
1,215
930
1.297
1.742
1.002
10,812
536
2.485
625
1,022
777
3,642
802
2,519
3.605
1.737
1,277
1.471
2.797
1,336
2,181
2.149
1,782
708
1,692
3,443
1,984
518
II
260
249
81
1.875
1,442
320
2,229
1,201
540
236
778
4,443
322
414
403
8.163
227
1.070
199
243
781
412
656
1.304
580
2,242
1,222
935
1,305
1.747
1.006
10.942
536
2.509
627
1.024
783
3.731
829
2.548
3.632
1.745
1.292
1.488
2.798
1.340
2.200
2,157
1.805
713
1.703
3.515
2.012
520
118
267
249
82
1,880
1,459
320
2.233
1.210
543
236
790
4,464
325
414
403
8,260
2
10
7
6
12
17
7
107
2
22
1
2
2
23
5
19
14
9
5
10
13
5
9
12
12
4
11
26
17
4
2
170
75
37
253
102
34
99
61
89
483
18
158
63
160
26
232
44
254
245
46
59
50
290
16
137
90
133
55
77
209
15
226
34
14
58
17
11
2
46
87
21
II
36
84
85
182
27
69
73
242
158
23
142
513
243
697
460
400
431
644
360
3.138
161
1.001
194
198
346
1.225
292
925
1,152
675
417
552
593
508
1.031
825
616
226
714
1.237
674
166
342
350
117
308
312
85
61
149
884
84
77
97
1.053
121
811
156
168
117
538
524
312
353
623
262
1.103
582
457
674
928
484
5.858
344
1.182
321
566
353
1.990
395
1.139
1.986
823
716
710
1.712
694
887
1.115
885
354
805
1.674
1.004
311
71
167
157
53
1.215
959
152
1,653
784
374
165
530
2,840
193
285
239
6.383
4
35
9
12
5
22
38
31
68
52
30
145
54
22
64
69
52
914
9
98
43
82
39
131
49
143
168
148
68
105
159
97
82
88
118
57
69
237
99
26
7
17
31
!
65
71
23
170
59
52
8
29
421
18
32
17
437
176
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Crime
Index
Modified*
Crime
Murder
and non-
negligent
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
Motor
vehicle
Arson*
total
total
man-
slaughter
assault
theft
OHIO— Continued
343
343
102
210
31
917
922
4
8
23
146
700
36
5
1.146
1,165
23
31
11
619
403
59
19
1 703
1,709
8
23
37
329
1.169
137
6
585
589
1
11
2
2
138
379
52
4
638
3,133
638
3
8
13
48
2
104
26
85
171
776
363
1.683
60
429
700
703
1
8
3
18
198
448
24
3
1.524
1,524
4
15
12
43
428
901
121
1 090
1 090
15
28
356
643
48
1.228
1,239
4
2~>
9
36
380
702
75
11
Stark
3.378
3.413
2
19
72
124
1,186
1.707
268
35
Wood
442
442
2
7
1
7
134
264
27
OKLAHOMA
129
130
2
2
2
6
36
71
10
1
253
254
6
5
8
100
111
23
1
388
396
4
4
3
55
108
195
19
8
Creek
601
601
3
2
104
213
243
36
96
98
11
36
45
4
2
398
400
1
6
2
71
145
145
28
2
152
296
152
299
1
3
3
2
29
35
51
94
64
145
4
17
3
276
279
2
3
1
40
105
104
21
3
521
537
2
4
4
85
180
210
36
16
582
385
586
388
1
3
4
6
43
33
210
199
275
125
44
24
4
3
1,656
1.664
2
16
45
194
404
790
205
8
Wagoner
534
535
1
2
3
15
235
236
42
1
OREGON
9,688
97
338
9,716
125
341
6
64
3
144
6
1
137
31
5
1,775
6
156
6.088
27
148
1.474
24
28
28
28
3
30
1,939
34
1,943
3
4
14
12
232
5
331
5
1,237
4
111
4
II
4
379
391
1
1
12
28
2
12
49
99
788
157
1,192
59
187
12
6
408
4,150
258
1,567
420
4.162
266
1.588
2
22
28
20
15
10
50
4
28
41
94
53
164
98
865
17
326
188
2,585
125
758
47
528
39
274
12
12
2
8
21
45
540
46
543
1
5
9
2
12
8
20
311
8
41
1
Polk
168
3
11
4.706
14
4.734
9
3
35
1
1.019
5
2.991
2
513
3
80
59
28
42
49
1
1
18
14
8
7
Yamhill
934
945
1
13
11
14
306
493
96
11
19
21
1
2
6
8
2
2
PENNSYLVANIA
116
118
1
6
3
40
10
41
15
2
201
585
463
585
203
606
474
597
5
7
5
2
3
5
2
5
9
31
16
67
84
183
147
108
71
310
236
336
29
47
57
66
2
2
1
21
11
Bucks Stale Police
12
866
210
346
888
217
347
1
8
2
2
5
1
24
13
17
239
72
162
515
99
138
74
24
25
22
7
Carbon State Police
1
1
691
23
705
23
1
9
2
7
43
6
202
374
14
56
14
177
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PENNSYLVANIA— Continued
Chester Slate Police
Columbia Slate Police
Cumberland State Police
Dauphin State Police
Delaware State Police
Erie State Police
Fayette State Police
Lackawanna State Police
Lancaster State Police
Lebanon State Police
Lehigh State Police
Luzerne State Police
Lycoming State Police
Mercer State Police
Montgomery State Police
Northampton State Folice
Perry State Police
Pike State Police
Somerset State Police
Washington Slate Police
Westmoreland Detective
Westmoreland State Police
Wyoming State Police
York State Police
RHODE ISLAND
Kent
Providence {Chepachet State Police)
Providence {Lincoln Woods State Police)
Washington ,
SOUTH CAROLINA
Aiken
Anderson
Berkeley
Charleston
Cherokee
Dorchester
Edgefield
Florence
Greenville
Horry Police Department
Lexington
Pickens
Richland
Spartanburg
Sumter
York
SOUTH DAKOTA
Minnehaha
Pennington
TENNESSEE
Carter
Hawkins
Knox
Madison
Marion
Montgomery
Robertson
Rutherford
Shelby
1.477
175
719
959
1.063
1,338
2.171
231
900
361
1.110
653
934
386
537
354
508
797
488
839
41
2.091
393
792
224
28
178
125
3.722
5.566
3.853
5.148
1,498
2,924
342
3,685
10.609
6,053
6,042
1.068
9.186
9.633
3,452
3,516
349
728
456
457
4.793
827
458
762
467
1.481
6,555
1.496
176
734
976
1,074
1.365
2,317
261
920
361
1.112
715
941
386
549
356
515
801
498
885
41
2.184
400
796
225
28
179
125
3.738
5,602
3,878
5.162
1.512
2,928
350
3.707
10,708
6,067
6.050
1.069
9.201
9.680
3.473
3.531
350
728
458
469
467
1,493
6,631
54
62
47
56
17
31
5
44
I 14
66
48
25
121
89
35
35
105
130
56
123
36
33
5
59
339
97
128
1
488
263
89
62
3
3
56
13
7
2
5
13
159
101
3
64
76
50
48
65
20
45
18
43
43
27
16
68
20
22
50
29
37
107
24
50
529
724
411
737
271
353
45
414
1,326
666
603
127
1.156
1.608
543
558
16
91
223
103
110
186
75
40
370
455
68
249
167
209
345
739
79
272
86
240
143
300
130
135
84
193
425
216
314
515
137
242
1.118
1.498
950
1.353
416
568
105
1.075
2.627
1.343
1,514
284
2.202
2.136
1.093
837
96
154
178
115
1.281
233
41
168
124
464
1.720
699
89
348
622
608
840
912
86
486
211
719
408
536
188
268
232
251
274
199
376
41
1.169
185
413
112
17
72
66
1.599
2.799
2.117
2,432
668
1.781
168
1.823
5.565
3,404
3.387
576
4.338
4.842
1.465
1.843
220
434
234
211
2.771
397
275
394
238
804
3.348
171
9
39
65
169
83
378
36
79
37
84
45
44
45
43
14
25
35
36
74
236
29
67
7
3
50
10
305
341
268
435
87
154
14
261
621
462
356
55
862
683
223
178
14
53
23
34
429
65
15
12
18
113
867
178
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Stale
Crime
Index
lolal
Modified*
Crime
Index
lolal
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thefl
Molor
vehicle
theft
TENNESSEE— Continued
Sullivan
Washington
TEXAS
1,629
609
75
790
996
7,074
726
1,425
341
168
1.665
446
797
1.183
129
663
774
1.339
1.067
2,148
2.360
1,313
914
592
965
466
35.534
961
955
1.109
5.296
587
831
632
936
920
725
857
753
689
5.055
212
886
1,058
267
321
211
432
2.488
1.314
195
278
4.526
424
696
120
354
161
1.948
274
1.629
624
76
796
1.028
7.199
737
1.431
344
169
1.695
449
804
1.192
130
693
778
1,339
1.069
2,179
2,444
1,334
934
595
965
471
36,030
971
967
1.112
5.369
593
844
638
944
948
725
864
759
692
5,132
213
892
1.063
272
329
212
434
2.543
1,339
195
289
4,567
424
700
122
354
176
1.951
276
1
5
6
6
54
27
29
9
6
8
II
589
11
22
20
36
1
7
22
25
17
14
6
1
10
76
7
6
41
7
2
5
3
2
1.204
7
10
3
127
4
12
14
3
7
4
I
10
3
71
7
9
7
3
2
197
26
13
101
121
371
77
159
36
10
130
15
101
214
17
190
66
60
84
337
161
159
34
87
163
18
2.598
83
71
82
771
32
83
28
70
73
53
135
61
38
292
24
49
82
23
28
34
20
215
179
21
82
308
54
26
7
52
27
208
40
505
180
775
363
38
21
310
286
278
507
1.648
4,295
206
345
449
633
110
172
70
81
911
548
104
272
260
378
408
496
54
51
115
304
250
388
390
796
537
382
496
1.038
813
1.143
405
589
351
474
157
279
302
426
127
278
9.140
15.071
332
464
338
482
449
500
2.465
1.452
185
344
305
369
183
329
337
437
332
417
335
284
173
504
257
386
179
429
1.549
2.644
69
77
299
462
361
520
67
138
74
181
56
100
183
214
798
1.221
329
706
63
95
72
106
1.452
2.331
199
157
184
430
55
50
139
142
40
78
490
1.116
135
94
116
28
56
61
573
75
123
17
2
56
38
51
41
7
40
57
73
51
154
158
110
42
49
59
30
6,866
61
31
52
423
21
55
55
60
71
35
33
35
29
408
27
61
47
28
34
16
13
181
69
8
9
279
9
30
6
18
11
111
4
179
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Slate
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
UTAH
Davis
Salt Lake '
Utah
Weber
VERMONT
Rockingham State Police.
St. Albans State Police
VIRGINIA
Albemarle Police Department
Albemarle State Police
Amherst
Amherst State Police
Arlington Police Department
Arlington Slate Police
Bedford
Bedford State Police
Botetourt
Botetourt State Police
Campbell
Campbell Slate Police
Charles City
Charles City State Police
Chesterfield Police Department
Chesterfield Slate Police
Clarke
Clarke State Police
Culpeper
Culpeper State Police
Dinwiddie
Dinwiddie State Police
Fairfax Police Department
Fairfax State Police
Fauquier
Fauquier State Police
Fluvanna
Fluvanna State Police
Gloucester
Gloucester State Police
Goochland
Goochland State Police
Greene
Greene State Police
Hanover
Hanover Slate Police
Henrico Police Department
Henrico State Police
Isle of Wight
Isle of Wight State Police
James City Police Department . . .
James City State Police
King George
King George State Police
Loudoun
Loudoun State Police
Mathews
New Kent
New Kent State Police
Powhatan
Powhatan State Police
Prince George
Pnnce George State Police
Prince William Police Department
Prince William State Police
319
17.730
673
815
146
782
1.928
7
673
15
10.069
8
722
13
255
14
941
20
32
8
8.786
25
160
7
301
12
341
24
25,975
48
708
14
141
1
451
11
104
9
187
1
1,185
37
10,414
59
449
10
1,01
3
253
9
1,873
18
73
256
22
218
23
474
5
9,412
28
332
17,789
673
845
155
814
1,950
7
676
15
10,107
8
729
13
256
14
956
20
34
8
8.886
25
162
7
302
12
343
24
26.260
49
718
14
142
1
454
12
104
9
190
1
1,186
37
10.493
59
456
10
1.020
3
255
9
1.878
1
73
258
22
220
23
474
5
9,522
9
137
9
5
3
1
104
195
6
6
13
13
276
4
2
6
2
116
2
5
428
2
4
242
14
5
1
206
19
841
32
33
42
2
46
2
393
1
26
1
10
125
1
3
361
6
39
24
3
292
1
29
39
10
4
1
1
1
16
1
275
4
83
174
2.382
13.173
169
417
151
580
71
308
328
173
902
219
2
56
197
8
3
1.585
2
34
67
83
2
2.036
3
138
2
51
165
1,930
1
112
1
135
41
2
201
1
22
64
2
58
2
134
1,306
61
397
1.418
5
389
9
7.365
5
441
8
165
9
579
14
15
3
6.550
18
119
6
199
6
211
16
21.148
33
460
10
58
315
3
36
5
112
1
936
19
7.295
50
263
8
769
2
176
4
1.450
14
36
157
15
146
I
289
2
6.983
17
32
989
40
40
4
46
100
41
4
1,095
2
28
2
19
5
41
6
3
2
343
4
3
1
15
4
II
5
1,879
6
54
2
14
I
23
2
21
3
16
49
14
579
7
26
I
35
I
13
I
104
3
3
21
2
II
2
24
I
565
1
180
Table 10.— Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by State
Crime
Index
tolal
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
VIRGINIA— Continued
Roanoke Police Department
1.338
1,352
1
12
14
93
217
968
33
14
Roanoke State Police
Scott
5
1
241
244
1
4
1
26
67
125
17
3
Scott State Police
6
10
1
4
1
4
1.894
1,894
1
12
15
48
186
1,527
105
39
39
3
1
31
4
1.534
1,598
1
17
18
49
164
1.197
88
64
23
23
1
4
2
11
5
Washington Stale Police
York
486
488
5
5
22
125
306
23
2
12
1 )
1
7
4
1
1,459
1,460
II
34
40
155
1.155
64
1
1
5
WASHINGTON
1,049
1.064
4
24
4
96
198
665
58
15
Clark
7,114
7.184
8
79
174
221
1.550
4,35 1
731
70
389
651
389
656
1
6
7
1
3
35
22
97
166
225
434
25
18
5
K.ng
18,709
18.974
16
285
392
589
3,836
11.697
1.894
265
5,286
5,335
S
Xh
48
266
1.010
3,597
271
49
18,623
7.023
18.757
7.088
27
9
198
234
386
92
1.537
263
3,669
1.931
11,062
3.915
1,744
579
134
65
8.478
8,545
5
50
99
231
1,682
5,887
524
67
3,343
3,363
2
72
14
118
932
1,992
213
20
Whatcom
2,083
2,098
3
36
11
90
686
1,159
98
15
3,808
3.861
6
56
33
129
1,484
1.817
283
53
WEST VIRGINIA
110
1 11
2
4
34
65
5
1
1
847
1
854
1
499
Cabell
1
8
9
22
265
43
7
115
135
1
2
7
31
69
25
127
1
1
14
89
16
1
7
7
1
3
3
Kanawha
1,412
1,426
4
3
32
15
464
725
149
14
535
538
2
6
6
11
143
289
58
3
200
204
4
2
14
73
86
21
4
11
11
1
6
8
15
1
21
202
22
213
1
1
4
13
5
101
7
70
4
15
1
1
1
11
118
139
1
1
16
36
76
8
1
34
589
34
590
2
147
30
396
2
29
2
4
11
1
119
119
6
1
14
29
59
10
140
141
1
12
54
50
23
1
247
254
3
2
3
24
100
86
29
7
Wood
120
120
44
53
217
6
95
96
1
3
40
41
10
1
WISCONSIN
Brown
1.476
1.478
8
5
45
250
1.106
62
2
211
215
1
1
6
44
145
14
4
337
338
1
3
65
244
24
1
Dane
1.390
1.403
3
10
11
239
253
808
66
13
Douglas
388
388
3
2
2
194
155
32
393
1,249
397
1.254
1
9
8
28
108
248
254
879
22
76
4
Kenosha
1
8
5
316
555
319
555
1
3
1
2
72
15
44
117
187
382
8
39
3
216
403
216
403
1
1
2
4
8
107
196
271
14
11
Outagamie
195
195
2
2
43
145
3
181
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1994 — Continued
County by Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
WISCONSIN— Continued
Pierce
Racine
Rock
St. Croix
Sheboygan
Washington
Waukesha
Winnebago
WYOMING
Laramie
Natrona -
382
725
579
507
594
802
1.201
496
559
600
382
731
587
508
600
817
1.203
499
567
608
153
117
145
131
108
230
219
133
186
537
330
318
433
510
825
308
420
325
6
8
1
6
15
2
3
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories.
2Complete data for 1994 were not available for the states of Illinois. Kansas, and Montana. See "Offense Estimation," pages 377-378 for details
3Indianapolis/Marion County. Indiana, is a unified city-county government with a total population of 771.796
4Due to reporting changes, figures are not comparable to previous years.
182
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994
[The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office, county police department, or state police.]
* Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Cnme Index total is the sum of the Crime Index offenses, including arson.
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Cullman.
De Kalb
Jackson
Lee
Marshall
Talladega
Walker
ARIZONA
Apache
Cochise
Coconino
Navajo
Yavapai
ARKANSAS
Garland
Independence
Mississippi
Pope
White
CALIFORNIA
Calaveras
Calaveras Highway Patrol
Humboldt
Humboldt Highway Patrol
Imperial
Imperial Highway Patrol
Kings
Kings Highway Patrol
Lake
Lake Highway Patrol
Mendocino
Mendocino Highway Patrol . . .
Nevada
Nevada Highway Patrol
Tehama
Tehama Highway Patrol
Tuolumne
Tuolumne Highway Patrol
FLORIDA
Citrus
Columbia
Highlands
Indian River
Jackson
Monroe
Okeechobee
Putnam
Sumter
GEORGIA
Floyd Police Department
Glynn Police Department
Hall
Liberty.
Lowndes
1.013
255
427
729
339
367
324
247
1,302
889
526
2.382
279
1,096
762
357
546
887
97
2,318
235
1,313
92
870
94
933
103
1.447
143
2,103
114
893
64
1,365
108
1,834
1,777
2,332
3,282
1,105
3.595
1 .326
3,733
895
1.321
2,784
2,914
442
1.291
431
249
1.317
891
535
2,398
279
1,102
781
358
551
920
2.326
1.341
882
933
1467
2.106
933
1,366
1,862
1.787
2.338
3,292
1.108
3,599
1331
3,759
1.321
2.791
2.927
442
10
33
6
31
4
20
25
127
73
320
83
257
211
139
134
1
268
206
116
1
218
232
186
262
181
358
239
365
215
79
209
161
19
34
312
83
185
277
112
105
115
76
410
205
191
730
90
146
256
122
220
424
991
459
319
479
628
576
345
529
616
425
784
853
353
681
338
1.431
270
483
447
786
119
238
497
160
143
352
146
186
171
141
632
539
229
1.170
134
838
351
200
262
365
22
1,014
610
17
375
13
294
15
503
23
1.264
29
417
I
726
15
906
931
1.138
1.870
510
2.313
616
1,589
364
699
1.950
1.549
257
908
9
105
25
18
135
3
75
19
235
12
75
9
81
7
87
II
118
22
83
4
62
1
93
71
114
188
200
46
181
82
171
40
48
105
340
29
71
183
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994 — Continued
County by State
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
GEORGIA— Continued
Murray
405
316
1,389
4.288
2.365
8.457
717
1.131
268
35
420
22
212
104
969
59
427
21
440
47
6
500
35
249
133
581
11
469
411
509
1,086
31
647
198
925
859
103
479
575
933
2.122
465
940
128
418
405
317
4,312
2.383
8.486
722
1..149
274
35
420
23
212
104
973
59
428
21
445
48
6
539
36
249
133
582
11
474
412
517
1.095
36
666
199
961
862
104
481
577
937
465
942
128
422
7
45
72
103
33
102
40
117
22
4
36
:
35
17
49
17
29
2
2
9
131
132
455
1,085
488
1,833
145
303
54
5
115
3
43
25
255
241
71
714
2,857
1,729
6,084
485
633
170
19
249
10
127
50
599
29
198
12
260
22
4
131
20
75
57
153
9
127
184
235
444
7
246
102
369
450
42
99
215
615
976
245
591
65
185
26
52
133
191
81
308
40
49
14
5
12
6
5
11
52
10
36
1
32
8
1
38
2
13
16
22
1
3
1
7
1
5
1
4
8
26
15
35
3
18
5
1
5
1
2
1
5
3
1
1
11
7
23
18
88
3
6
3
1
2
1
Whitfield
HAWAII
24
18
29
IDAHO
5
18
ILLINOIS'
INDIANA
6
1
1
2
1
8
1
2
4
158
5
142
6
1
130
13
62
6
101
1
142
138
101
217
3
128
38
215
354
41
175
81
178
397
175
180
57
194
1
2
2
1
5
1
KANSAS'
KENTUCKY
2
12
1
186
39
1
1
7
3
88
54
296
1
150
16
53
343
13
189
35
262
17
12
149
241
82
609
26
114
2
3
2
5
2
1
1
1
2
2
1
1
9
1
19
5
3
35
1
16
7
4
13
27
4
33
7
11
7
7
3
10
2
5
6
2
6
6
13
45
3
II
33
64
96
65
4
46
17
53
27
4
34
2
41
53
8
29
4
23
5
1
8
9
5
19
Pike
1
4
2
3
3
9
1
4
36
3
1
2
LOUISIANA
2
4
2
MAINE
Aroostook State Police
1
12
4
See footnotes at end of table-
184
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994 — Continued
County by Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
theft
MAINE— Continued
Hancock
Hancock Stale Police
Kennebec
Kennebec State Police
Penobscot
Penobscot State Police
Somerset
Somerset State Police
Waldo
Waldo State Police
York
York State Police
MARYLAND
Garrett
Garrett Stale Police
St. Mary's
St. Mary's State Police
Wicomico
Wicomico State Police
MICHIGAN
Barry
Barry State Police
Cass
Cass State Police
Grand Traverse
Grand Traverse State Police
Hillsdale
Hillsdale State Police
Ionia
Ionia State Police
Mecosta
Mecosta State Police
Montcalm
Montcalm State Police
Newaygo
Newaygo State Police
St. Joseph
St. Joseph State Police
Sanilac
Sanilac Slate Police
Shiawassee
Shiawassee State Police
Tuscola
Tuscola State Police
MINNESOTA
Crow Wing
Otter Tail
MISSISSIPPI
Warren
MISSOURI
Cole
MONTANA'
296
48
341
435
651
264
392
238
161
68
386
238
316
274
1.885
376
1.021
576
329
645
438
170
988
430
404
211
422
322
625
100
805
367
561
426
614
306
454
219
460
209
274
259
896
697
533
296
48
342
436
653
265
394
238
163
68
391
238
316
283
1.893
409
1.021
597
334
660
441
175
997
432
408
216
426
329
629
101
811
375
570
430
619
318
463
221
461
216
280
259
897
700
26
21
195
49
149
70
24
38
20
15
49
2
33
10
39
15
17
7
56
35
106
33
29
18
64
8
39
20
27
17
29
79
14
119
197
232
65
143
121
78
30
161
76
101
73
467
85
221
177
122
215
162
59
138
91
103
66
95
78
205
24
240
127
181
150
203
80
111
83
116
77
75
91
351
330
193
23
186
190
373
154
209
84
68
24
191
140
177
153
1.113
210
584
262
160
333
215
69
725
296
224
85
261
203
374
48
418
161
214
190
352
167
190
99
275
103
146
105
444
308
20
1
16
31
30
29
25
26
II
8
22
16
10
21
56
14
26
37
14
25
22
7
37
21
19
10
14
18
II
49
25
22
32
30
18
23
II
22
5
21
15
57
33
See footnotes at end of table
185
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEVADA
Carson City
Douglas
NEW HAMPSHIRE
Hillsboro State Police
NEW MEXICO
McKinley
San Juan
NEW YORK
Allegany State Police
Cattaraugus
Cattaraugus State Police
Chenango
Chenango State Police
Clinton
Clinton State Police
Columbia
Columbia State Police
Cortland
Cortland Slate Police
Delaware
Delaware Stale Police
Franklin State Police
Fulton
Fulton State Police
Greene
Greene Stale Police
Jefferson
Jefferson State Police
Otsego
Otsego State Police
St. Lawrence
St. Lawrence State Police
Steuben
Steuben State Police
Sullivan
Sullivan State Police
Tompkins
Tompkins State Police
Ulster
Ulster Slate Police
Wyoming
Wyoming Stale Police
NORTH CAROLINA
Beaufort
Carteret
Cleveland
Columbus
Craven
Duplin
Halifax
Harnett
Haywood
Henderson
Iredell
Jackson
Lee
Lenoir
Moore
Pender
Richmond
2,199
1.245
32
357
875
539
654
575
471
233
10
1.254
423
426
378
373
135
443
465
844
140
79
691
572
602
121
520
586
762
414
749
839
839
739
350
166
942
490
131
861
936
2.131
1,256
1.514
894
953
1.860
806
998
861
506
785
1,098
641
742
981
2,210
1,255
357
878
552
663
236
10
1.267
431
381
373
135
479
857
140
84
705
604
123
525
771
425
753
845
852
742
353
952
492
133
863
939
2,135
1.270
1,517
900
972
1.876
826
1.007
866
518
795
1,108
643
745
988
193
129
38
131
126
9
15
29
7
4
24
68
30
4
7
41
10
34
50
61
2
50
132
74
9
25
33
117
71
54
39
16
129
108
123
134
86
148
50
25
48
30
34
134
41
84
74
416
277
100
289
234
327
155
131
75
339
154
163
79
53
64
173
131
398
63
18
208
151
145
50
168
203
222
173
217
323
378
211
97
40
289
177
33
467
382
826
529
403
367
387
698
354
367
403
253
251
409
236
253
441
1,427
748
168
361
243
212
368
259
123
10
762
231
232
250
294
60
232
237
372
70
59
268
380
396
53
298
296
446
236
459
332
345
465
221
78
475
220
40
292
494
1,002
480
844
330
407
830
345
530
302
198
451
475
284
335
406
116
35
60
12
28
10
7
7
19
16
15
13
17
4
9
22
31
3
I
16
17
14
7
12
28
22
3
15
36
25
35
7
7
41
18
3
St
37
132
106
111
50
41
138
43
58
74
21
36
60
71
52
40
186
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994— Continued
County by Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NORTH CAROLINA— Continued
Robeson
Rockingham
Rutherford
Sampson
Stanly
Surry
Wilkes3
Wilson
OHIO
Ashland
Coshocton
Darke
Huron
Logan
Muskingum
Preble
Seneca
Shelby
Tuscarawas
Union
OREGON
Coos
Coos State Police
Deschutes
Deschutes State Police
Douglas
Douglas State Police
Josephine
Josephine State Police
Klamath
Klamath State Police
Linn
Linn State Police
PENNSYLVANIA
Adams State Police
Armstrong State Police
Bedford State Police
Bradford Stale Police
Clarion State Police
Clearfield State Police
Clinton State Police
Crawford State Police
Franklin Slate Police
Greene State Police
Huntingdon State Police
Indiana Stale Police2
Lawrence State Police
Monroe State Police
Northumberland Stale Police
Schuylkill State Police
Snyder Slate Police
Susquehanna State Police
Tioga State Police
Venango Slate Police
Wayne Stale Police
RHODE ISLAND
Newport
SOUTH CAROLINA
Beaufort
Chesterfield
Colleton
Darlington
See footnotes at end of table
1,471
1.604
998
1.307
651
989
787
190
462
444
385
371
1.070
484
299
282
237
291
850
84
1.016
177
1.816
115
1,359
86
842
420
1.881
66
694
437
718
603
413
480
350
827
1,052
674
563
548
1,121
269
913
309
402
306
617
621
5.726
861
1,022
1,498
1.485
1.613
998
1.325
652
1.004
797
190
470
456
385
371
1.074
492
299
283
238
291
857
84
1.022
183
1,832
119
1,368
91
844
423
1885
68
706
448
732
611
420
493
352
839
1.059
700
572
579
1.125
273
945
316
403
312
632
623
5.744
865
1,033
1,499
39
142
42
40
18
7
5
18
146
25
40
23
23
79
124
8
106
17
34
16
12
14
6
21
51
27
20
33
76
21
67
14
21
10
15
28
603
130
117
130
723
505
388
522
238
353
364
298
64
80
201
127
99
219
121
113
65
71
40
216
8
292
69
536
16
362
4
211
98
686
6
194
202
251
301
111
178
95
382
322
240
237
266
176
437
79
222
74
187
144
249
231
1.131
291
306
497
475
785
492
487
346
497
409
317
104
340
165
201
245
714
299
165
178
138
207
519
50
631
61
1.002
51
827
31
529
170
911
24
293
180
382
223
245
252
214
356
597
292
265
408
236
516
149
549
204
147
133
286
312
356
468
665
77
85
65
105
19
85
53
63
4
14
23
23
7
36
32
15
10
16
18
15
75
21
104
13
101
10
64
47
139
II
69
21
42
50
30
26
29
58
62
99
27
74
86
71
18
62
I <
31
17
48
33
177
50
82
164
187
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994 — Continued
County by Slate,
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
SOUTH CAROLINA— Continued
Georgetown
Greenwood
Kershaw
Lancaster
Laurens
Oconee
Orangeburg
Williamsburg
TENNESSEE
Bradley
Hamblen
McMinn
TEXAS
Anderson
Angelina
Nacogdoches
Polk
Rusk
Starr
Van Zandt
Walker
Wise
UTAH
Cache
VERMONT
Bethel State Police
Bradford State Police
Brattleboro State Police
Derby Stale Police
Middlebury State Police
Middlesex State Police
Rutland Slate Police
St. Johnsbury State Police
Shaftsburg State Police
Willislon Slate Police
VIRGINIA
Accomack
Accomack State Police
Augusta
Augusta State Police
Buchanan
Buchanan State Police
Carroll
Carroll State Police
Franklin
Franklin State Police
Frederick
Frederick State Police
Halifax
Halifax State Police
Henry
Henry State Police
Rockingham
Rockingham State Police
Russell
Russell Stale Police
Tazewell
Tazewell State Police
Wise
Wise Slate Police
1,477
1.326
1.597
1.859
1.506
1.215
3.639
792
654
343
690
434
631
470
563
587
972
485
685
511
636
424
216
170
398
258
362
776
371
258
377
293
37
857
16
354
70
312
13
383
6
1.143
16
459
34
1.685
26
476
36
162
13
411
24
174
7
1,488
1,328
1.605
1,868
1,514
1.215
3.647
793
655
345
690
444
633
472
564
601
981
487
694
511
432
216
171
402
258
378
788
380
280
410
293
37
862
16
360
73
314
14
385
6
1,145
16
459
34
1.697
26
478
36
162
13
412
24
174
7
210
197
193
150
343
169
746
173
78
392
387
369
531
398
340
925
233
190
107
283
148
202
153
274
230
327
248
207
187
192
95
81
162
103
122
279
162
102
is:
129
5
129
1
119
22
111
204
1
142
4
448
749
630
883
995
635
639
1.558
293
349
204
312
179
370
191
227
280
434
172
383
240
466
194
104
65
206
133
213
437
172
125
171
100
19
632
10
123
31
156
8
196
3
848
10
226
19
899
10
294
9
76
8
224
12
108
3
94
55
90
114
76
45
194
57
61
22
55
22
37
18
23
40
73
38
23
30
34
12
13
12
16
13
43
20
14
15
32
13
58
4
37
10
18
38
3
35
2
13
4
166
15
15
25
21
17
5
II
188
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1994 — Continued
'Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana. See "Offense Estimation," pages 377-378 for details.
2Due to reporting changes, figures are not comparable to previous years.
includes Bureau of Indian Affairs, Bureau of Land Management, Bureau of Reclamation. National Park Service, and the U.S. Fish and Wildlife Service
County by State
Crime
Index
Modified*
Crime
Murder
and non-
negligent
Forcible
rape
Robbery
Aggra-
vated
Burglary
Larceny-
Motor
vehicle
Arson*
total
total
man-
slaughter
assault
theft
WASHINGTON
Chelan
1,289
1,292
2
5
2
52
281
901
46
3
676
685
2
10
1
46
163
411
43
9
1 069
1 088
3
4
53
362
555
92
19
606
611
13
3
33
181
353
23
5
6
5
15
328
422
71
467
470
2
10
8
29
156
232
30
3
888
897
9
6
40
254
514
65
9
1,466
1,470
2
15
10
62
501
789
87
4
1,100
1.110
2
14
2
13
307
719
43
10
623
629
2
5
2
22
192
372
28
6
WEST VIRGINIA
1,069
1,087
1
8
128
246
636
50
18
467
467
1
3
6
70
131
199
57
Fayette State Police
247
249
1
1
14
80
125
26
2
279
280
1
6
1
19
59
171
22
1
331
123
3
54
87
165
18
123
55
62
6
182
182
1
15
56
103
7
396
398
2
5
11
112
251
15
2
157
166
3
3
12
54
67
18
9
680
682
4
3
5
21
156
392
99
2
McDowell State Police
71
71
1
19
14
33
4
84
84
2
2
1
7
37
15
20
251
260
1
1
4
8
100
109
28
9
99
99
2
1
33
51
12
1
61
147
201
58
92
92
I
2
4
10
35
25
15
175
175
3
1
19
39
91
22
184
189
1
3
24
57
64
35
5
377
377
2
3
7
95
256
14
151
355
1
2
3
106
179
60
4
1,400
240
241
'42
802
100
240
1
1
3
47
170
18
WISCONSIN
Barron
424
426
3
39
144
215
23
2
Clark
377
380
2
6
2
127
212
28
3
504
506
2
1
2
4
109
360
26
2
Dodge
310
310
1
96
204
9
428
297
428
299
1
1
4
22
106
64
279
196
38
13
1
2
517
521
1
7
1
19
115
330
44
4
432
435
6
25
116
231
54
3
627
632
5
1
5
332
271
13
5
Polk
412
424
1
2
1
8
232
136
32
12
604
604
8
22
118
386
70
445
573
445
573
4
2
2
22
29
102
114
296
398
19
29
1
Walworth
Wood
2
7
112
341
41
564
564
5
6
183
342
28
487
489
1
142
309
35
2
STATE AGENCIES
5.908
5.982
32
10
146
31
851
9
1.477
2,976
77
417
74
Arizona Department of Public Safety
1
9,117
9.221
13
128
86
1.064
2.550
4,610
666
104
Minnesota Highway Patrol
New Mexico Slate Police
125
3
4
97
21
2,090
2.103
20
44
31
361
714
719
201
13
OTHER AREAS
17,225
17,984
158
528
387
2,222
3,205
9,079
1.646
759
583
7,885
9,324
587
7.909
9,384
4
14
32
4
109
69
1
105
564
117
246
1,467
294
1,716
2,952
160
5,127
3,470
3
568
770
4
24
Virgin Islands
60
189
Table 12. — Crime Trends, Offenses Known to the Police, Population Group, 1993-1994
[1994 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total1
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TOTAL ALL AGENCIES:
11,844 agencies;
papulation 230,432,000:
1993
1994
Percent change
TOTAL CITIES: 8,248 cities;
population 155.694,000:
1993
1994
Percent change
Group I
66 cities, 250.000 and over;
population 47,165,000:
1993
1994
Percent change
9 cities, 1.000,000 and over;
population 21,338,000:
1993
1994
Percent change
19 cities, 500.000 to 999,999;
population 12,329.000:
1993
1994
Percent change
38 cities. 250.000 to 499.999;
population 13.498,000:
1993
1994
Percent change
Group n
135 cities. 100,000 to 249.999;
population 19.935.000:
1993
1994
Percent change
Group III
349 cities. 50.000 to 99.999;
population 23,940.000:
1993
1994
Percent change
Group IV
634 ciues. 25.000 to 49.999;
population 21,943,000:
1993
1994
Percent change
See footnotes at end of table
1 2,923 ,381
12,771,781
-1.2
10,481,456
10,299,960
-1.7
294,934
132,456
-3.8
,848.824
,723.475
-6.8
.107,079
064,792
-3.8
339.031
344,189
+.4
1.582.378
1,561,917
-1.3
1,464,886
1,449,136
-1.1
1,186.171
1,185,135
-.1
13,016,715
12,870,094
-1.1
10,556,235
10^78,763
-1.7
4,332.014
4.169,855
-3.7
1,866,990
1.741.199
-6.7
1.115.712
1.073.754
-3.8
1.349,312
1.354,902
+.4
1.594.616
1 ,574,997
-1.2
1.473.559
1.458.704
-1.0
1.192,973
1.192,641
1,790,658
1,736,066
-3.0
1,505,716
1,449,481
-3.7
820,535
776,523
-5.4
428,395
395,948
-7.6
168,563
161.648
-4.1
223,577
218,927
-2.1
213,021
207,111
170,994
167,918
-1.8
123.706
121.659
-1.7
1,132,723
1,035.715
-.9
8,975,740
8,850,479
-1.4
3,474,399
3,355,933
-3.4
1.420.429
1,327.527
-6.5
938.516
903.144
-3.8
1,115.454
1,125.262
+.9
1.369,357
1.354,806
-1.1
1,293,892
1,281,218
-1.0
1.062.465
1,063,476
+.1
23,058
21,849
-5.2
18,729
17,700
•5.5
11.620
10,573
-9.0
5.939
5,293
-10.9
2,603
2.290
-12.0
3.078
2.990
-2.9
2,613
2.712
+3.8
1,711
1,751
+2.3
1.141
1,039
-8.9
85.891
82,093
-4.4
64,566
61,432
-4.9
27,368
25,755
-5.9
8.325
7.670
-7.9
9,072
8.638
-4.8
9.971
9.447
-5.3
10.460
9,809
-6.2
9.114
8.834
-3.1
7.058
6,889
-2.4
633,214
595,519
-6.0
574,974
539,544
-6.2
376,324
343.062
211.007
187.114
-11.3
75,601
69.406
89.716
86.542
-3.5
75,069
73.549
-2.0
55,107
54.253
-1.5
33.557
33,625
+.2
1,048,495
1,036,605
-1.1
847,447
830,805
-2.0
405,223
397,133
-2.0
203,124
195.871
-3.6
81,287
81.314
120,812
119.948
-.7
124,879
121.041
-3.1
105,062
103,080
-1.9
81,950
80.106
-2.3
2,580,192
2.466J77
-4.4
1,959,450
1,862.539
-4.9
778,324
727,838
-6.5
316.515
289,602
-8.5
203,615
190.257
-6.6
258,194
247.979
-4.0
323,010
307,301
-4.9
282.655
270,307
^4
226.034
217,362
-3.8
7,081,017
7.114,895
+.5
5,769.328
5,765,053
2.000.840
1.963.702
-1.9
759.533
719,696
-5.2
585,225
566.351
-3.2
656,082
677,655
+3.3
868.253
864,615
-.4
856.396
857.736
1,471,514
1,454,443
-1.2
1,246,962
U22.887
-1.9
695.235
664,393
-4.4
344,381
318,229
-7.6
149.676
146.536
-2.1
201.178
199.628
735.347
743,334
+ 1.1
178.094
182.890
+2.7
154.841
153,175
-1.1
101.084
102,780
+1.7
190
Table 12.— Crime Trends, Offenses Known to the Police, Population Group, 1993-1994 — Continued
Population group
Cnme
Index
total
Modified
Cnme
Index
total1
Violent
cnme2
Property
cnme3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson '
Group V
1.463 cities. 10,000 to 24.999;
population 23.019.000:
1993
1.061,464
1,070.735
1.066.710
1 ,076,685
97,780
98.945
963.684
971,790
916
939
6,168
5.843
21,394
22,021
69.302
70.142
194.828
188.118
696,170
709,942
72,686
73.730
5.246
1994
5.950
+.9
+.9
+ 1.2
+.8
+2.5
-5.3
+2.9
+ 1.2
-3.4
+2.0
+1.4
+ 13.4
Group VI
5.601 cities under 10.000.
population 19,692,000:
1993
891,623
900.581
896.363
905,881
79,680
77,325
811,943
823,256
728
686
4.398
4.302
13.523
13,034
61.031
59,303
154,599
151,613
612,322
625,724
45,022
45,919
4.740
1994
5.300
+ 1.0
+1.1
-3.0
+1.4
-5.8
„2 2
-3.6
-2.8
-1.9
+2.2
+2.0
+ 11.8
Suburban Counties
1,235 agencies;
population 50,122,000:
1993
1,934.780
1.952,763
1,949,214
1.967,895
229,103
228,332
1,705.677
1.724.431
2.988
2.939
16.035
15,434
54,051
51.623
156.029
158.336
458.048
442.172
1.051.882
1.081.347
195.747
200.912
14,434
1994
15,132
+.9
+1.0
-.3
+ 1.1
-1.6
-3.7
-4.5
+ 1.5
-3.5
+2.8
+2.6
+4.8
Rural Counties4
2,361 agencies;
population 24,615.000:
1993
507.145
519,058
+2,3
511.266
523.436
+2,4
55,839
58,253
+4.3
451,306
460,805
+2 1
1,341
1,210
-9.8
5,290
5,227
-12
4,189
4,352
+3.9
45,019
47,464
+5.4
162,694
161.666
-6
259.807
268,495
+3.3
28.805
30.644
+6.4
4,121
1994
4,378
Percent change
+6.2
Suburban Area*
5,849 agencies:
population 93,524,000;
1993 . .
3.879.022
3.899.973
+.5
3.904.225
3,926,993
+ 6
404,447
402,589
-.5
3,474,575
3.497,384
+.7
4,496
4,383
-2.5
25.731
24,687
-4.1
100.158
97.257
-2.9
274,062
276.262
+.8
809.027
778.181
-3.8
2,308,118
2,354,456
+2.0
357,430
364,747
+2.0
25,203
1994 .
27.020
Percent change
+7.2
'The number of agency reports used in arson trends is less than used in compiling trends for other Cnme Index offenses. It is not necessary to report arson by property classification to be included in
this table. The Modified Crime Index total is the sum of the Cnme Index offenses, including arson.
-Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny- theft, and motor vehicle theft. Data are not included for the property cnme of arson.
■•Includes state police agencies with no county breakdowns.
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
6Less than one-tenth of 1 percent.
Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines and were
excluded from the forcible rape, violent cnme, Crime Index total, and Modified Cnme Index total categories.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation." pages 377-378
for details.
191
Table 13. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities1
[1994 estimated population]
Population Group, 1993-1994
Population group
Cnme
Index
total
Modified
Crime
Index
total2
Violent
cnme3
Property
cnme4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson2
Suburban Cities
TOTAL SUBURBAN CITIES:
4,614 cities;
population 43.401,000:
1993
1,944.242
1,947,210
+.2
1,955,011
1,959,098
+.2
175,344
174,257
-.6
1,768,898
1,772,953
+.2
1,508
1.444
-4.2
9,696
9,253
-4.6
46,107
45,634
-1.0
118.033
117,926
-.1
350,979
336,009
-4.3
1,256.236
U73.109
+1.3
161,683
163,835
+1.3
10,769
1994
11.888
+10.4
Group IV
440 cities, 25.000 to 49.999;
population 15.029,000;
1993 . .
706.395
706,086
710,707
710,574
697,583
700,406
+.4
546,721
548,118
+.3
U0 1,035
1,216,109
+ 1.3
69,314
69,284
637,081
636,802
614
552
- 10 1
552
566
+2.5
342
326
-4.7
1,277
1.22(1
-4.5
3,582
3,470
-3.1
3.679
3,430
-6.8
2.435
2,353
-3.4
7,928
7,781
-1.9
20,976
20,982
5
15.211
15,428
+ 14
9,920
9,224
-7.0
22,367
23.046
+3.0
44.142
44,280
+.3
42,255
42,841
+ 1.4
31.636
30,805
-2.6
94,250
91,625
-2.8
133,994
128,032
-4.4
126,199
121,081
-4.1
90.786
86,896
-4.3
224.482
221.084
-1.5
429,414
433,334
+.9
449.834
456.256
+ 1 4
376.988
383.519
+ 1.7
787,603
805,891
+2.3
73.673
75.436
+2.4
56.395
56.801
+.7
31.615
31.598
-I
57,109
58,594
+2.6
4.312
1994
4.488
+4.1
Group V
1,068 cities. 10,000 to 24,999;
population 16.810.000:
1993
694.125
696,403
+.3
543.722
544.721
+ 2
1,195,016
1,209,241
+1.2
61,697
62,265
+.9
44,333
42,708
-3.7
125,822
123,672
-1.7
632,428
634,138
+.3
499,389
502,013
+.5
1,069,194
1,085,569
+1.5
3,458
1994. . .
4.003
+ 15.8
Group VI
3.106 cities under 10,000;
population 11.563,000:
1993
2.999
1994
3.397
+ 13.3
Nonsuburban Cities
TOTAL NONSUBURBAN CITIES:
3,084 cities;
population 21,253.000:
1993
6,019
1994
6.868
+14.1
Group IV
194 cities, 25,000 to 49,999;
population 6,914,000:
1993 .
479,776
479.049
-.2
367,339
374,332
+ 1.9
347,901
355,860
+2.3
482.266
482.067
5
369,127
376,279
+1.9
349.642
357.763
+2.3
54.392
52.375
-3.7
36.083
36.680
+ 1.7
35.347
34.617
-2.1
425,384
426,674
+.3
331,256
337,652
+1.9
312,554
321,243
+2.8
527
487
-7.6
364
373
+2.5
386
360
-6.7
3,476
3.419
-16
2,489
2.413
-3.1
1,963
1.949
-.7
12.581
12.643
+.5
6,183
6,593
+6.6
3,603
3.810
+5.7
37.808
35,826
-5.2
27,047
27,301
+.9
29,395
28,498
-3.1
92.040
89.330
-2.9
68.629
67.037
-2.3
63.813
64,717
+ 1.4
305.933
310.000
+ 1.3
246.336
253.686
+3.0
235.334
242.205
+2.9
27.411
27.344
2
16.291
16.929
+3.9
13.407
14.321
+6.8
2.490
1994
3.018
+21.2
Group V
395 cities, 10,000 to 24,999;
population 6,209.000:
1993
1,788
1994
1,947
+8.9
Group VI
2.495 cities under 10,000;
population 8.129.000:
1993
1994
1,741
1.903
Percent change
+9.3
'Suburban places are withm Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area Central cities are excluded,
Nonsuburban places are outside MSAs.
2The number of agencies used in arson trends is less than used in compiling trends lor other Cnme Index offenses. It is not necessary to report arson by property classification to be included in this
table The Modified Cnme Index total is the sum of the Crime Index offenses, including arson.
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
••Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property cnme of arson.
5Less than one-tenth of 1 percent.
Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines and were
excluded from the forcible rape, violent crime, Crime Index total, and Modified Cnme Index total categories
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
192
Table 14. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group 1993-1994
[1994 estimated population]
Population group
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime2
Property
cnme3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson1
Suburban Counties-*
100,000 and over
123 counties;
population 30,315,000:
1993. . .
1.398.484
1.409.939
+.8
1.408.638
1.420.415
+.8
174,382
171,213
-1.8
1.224.102
1,238.726
+ 1.2
2,054
1.980
-3.6
10.838
10,356
-4.4
47.717
45,117
-5.4
113.773
113,760
312,362
300.124
-3.9
763,544
786,651
+3.0
148.196
151.951
+2.5
10.154
1994
10.476
Percent change
+3.2
25.000 to 99,999
341 counties;
population 17,183,000:
1993
418.269
422.248
+ 1.0
421.255
425.517
+ 10
41.956
43.687
+4 1
376,313
378,561
+.6
716
750
+4.7
4.007
4.037
+.7
4.808
4.960
+3.2
32,425
33.940
+4.7
119,743
116,504
-2.7
230.322
236.049
+2.5
26,248
26.008
-.9
2,986
1994
3,269
Percent change
+9.5
Under 25,000
767 counties;
populatton 2.544.000:
1993
116,283
118,853
+2.2
117.574
120.236
+2.3
12,479
13,205
+5.8
103.804
105,648
+ 1.8
209
208
-.5
1.173
1,028
-12.4
1.506
1,516
+.7
9,591
10,453
+9.0
25.370
24.987
-1.5
57,230
57,819
+ 10
21.204
22,842
+7.7
1,291
1994 .
1,383
Percent change
+7.1
Nonsuburban Counties4
25,000 and over
257 counties;
population 10,118,000:
1993
208,662
213,440
210,041
215,004
21.722
22,667
186,940
190.773
476
407
2.033
2.005
1.995
2.155
17,218
18.100
66.924
66.081
108,466
112.706
1 1 .550
11.986
1.379
1994
1,564
+2.3
+2.4
+4.4
+2.1
-14.5
-1.4
+8.0
+5.1
-1.3
+3.9
+3.8
+ 13.4
10,000 to 24,999
639 counties;
populaUon 10,029.000:
1993
168.298
169,440
18.791
149,507
427
1.552
1.279
15.533
56,682
84,124
8.701
1,142
1994. . .
172.686
+2.6
173.945
+2.7
19,341
+2.9
153,345
+2.6
451
+5.6
1.508
-2.8
1.321
+3.3
16.061
+3.4
57,085
+.7
86,895
+3.3
9,365
+7.6
1,259
Percent change
+ 10.2
Under 10.000
1.370 counties;
population 4,167.000:
1993
106,634
108.013
12.564
94,070
406
1.362
713
10.083
33.126
53.951
6.993
1,379
1994
109,069
+2.3
110.412
+2.2
13,677
+8.9
95.392
+1.4
324
-20.2
1.408
+3.4
668
-6.3
11,277
+ 11.8
32.475
-2.0
55.044
+2.0
7.873
+ 12.6
1,343
Percent change
-2.6
'The number of agencies used in arson trends is less than used in compiling trends for other Cnme Index offenses. It is not necessary to report arsons by property classification to be included in this
table The Modified Crime Index total is the sum of the Cnme Index offenses, including arson.
:Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault
'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft Data are not included for the property crime of arson.
■•Offenses include shenffs' and county law enforcement agencies. State police offenses are not included.
5Less than one tenth of one percent.
Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Slate Police were not in accordance with national UCR guidelines and were
excluded from the forcible rape, violent crime, Cnme Index total, and Modified Cnme Index total categones.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana, therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
193
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Table 16. — Crime Rates, Offenses Known to the Police, Population Group, 1994
[1994 estimated population. Rale: Number of crimes per 100,000 inhabitants]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime2
Property
crime1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TOTAL ALL AGENCIES:
11 ,336 agencies;
population 226,001,000:
Number of offenses known
Rale „
TOTAL CITIES: 7,847 cities;
population 152,696,000:
Number of offenses known
Rale
Group I
65 cities, 250.000 and over;
population 46.748.000:
Number of offenses known .
Rate
9 cities, 1,000,000 and over;
population 21,338.000:
Number of offenses known .
Rate
19 cities. 500.000 to 999.999;
population 12.329,000:
Number of offenses known .
Rate
37 cities, 250.000 to 499.999;
population 13,081.000:
Number of offenses known
Rate
Group II
137 cities. 100.000 to 249.999;
population 20,158.000:
Number of offenses known -
Rate
Group III
339 cities. 50.000 to 99,999;
population 23.201,000:
Number of offenses known .
Rate
See footnotes at end of table
12.739,676
5,637.0
10,264,949
6,722.5
4,107,457
8,786.3
1,725.746
8,087.8
1.064.792
8.636.1
1.316.919
10.067.2
1,588.130
7.878.3
1.435,024
6.185.2
1,746,148
772.6
10,993,528
4,864.4
21.856
9.7
92.798
41.1
594,941
263.2
1.036,553
458.7
2,461,219
1.089.0
7.081.111
3,133.2
1,451,198
642.1
1,455,421
953.1
8,809,528
5,769.3
17,655
11.6
69,032
45.2
538,905
352.9
829,829
543.5
1,857,581
1.216.5
5,732,315
3,754.1
1.219.632
798.7
774.787
1,657.4
398.219
1.866.3
161.648
1.311.1
214.920
1.643.0
212,323
1.053.3
168.607
726.7
3.332.670
7,129.0
1.327.527
6.221.6
903.144
7,325.1
1.101,999
8,424.2
1.375.807
6.825.0
1.266,417
5.458.5
10.539
22.5
5.293
24.8
2,290
18.6
2.956
22.6
2,742
13.6
1,754
7.6
28,709
61.4
9,941
46.6
8,638
70.1
10,130
77.4
10.751
53.3
9,913
42.7
342.044
731.7
187,114
876.9
69,406
562.9
85,524
653.8
74,714
3706
54,201
233.6
393.495
841.7
195,871
918.0
81,314
659.5
116.310
889.1
124,116
615.7
102.739
442.8
722,817
1.546.2
289,602
1,357.2
190,257
1.543.1
242.958
1.857.3
312.861
1.552.0
267,758
1,154.1
1,949,011
4.169.2
719.696
3.372.9
566,351
4.593.5
662,964
5,068.0
878,091
4.356.0
846,545
3,648.7
660.842
1.413.6
318,229
1.491.4
146.536
1.188.5
196,077
1,498.9
184,855
917.0
152,114
6556
196
Table 16. — Crime Rates, Offenses Known to the Police, Population Group, 1994 — Continued
[1994 estimated population. Rate: Number of cnmes per 100.000 inhabitants]
Population group
Crime
Index
.otal
Modified
Crime
Index
total '
Violent
crime2
Property
crime3
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Group IV
623 cities. 25.000 to 49.999;
population 21.509.000:
Number of offenses known
Rate
Group V
1.420 cities. 10,000 to 24.999;
population 22.457.000:
Number of offenses known
Rale
Group VI
5.263 cities under 10.000;
population 18,625,000:
Number of offenses known
Rate
Suburban Counties
1.226 agencies;
population 49,702,000:
Number of offenses known
Rate
Rural Counties4
2.263 agencies;
population 23.603.000:
Number of offenses known
Rate
1.177,809
5,476.4
1.067,520
4.753.7
889,009
4,773.3
1,957.266
3.938.0
517,461
2,192.4
121,620
565.5
100,698
448.4
77,386
415.5
230,332
463.4
60,395
255.9
1.056.189
4.910.9
966.822
4,305.3
811,623
4.357.8
1,726,934
3,474.6
457.066
1,936.5
1,010
4.7
937
4.2
673
3.6
2,966
6.0
1,235
5.2
7,759
36.1
6,985
31.1
4.915
26.4
17.053
34.3
6.713
28.4
33.114
154.0
21.936
97.7
12.896
69.2
51.636
103.9
4.400
18.6
79.737
370.8
70.840
315.5
58.902
316.3
158,677
319.3
48.047
203.6
215.283
1.001.0
187,919
836.8
150,943
810.4
443,153
891.6
160.485
679.9
738.746
3,434.9
704,698
3,138.0
615,224
3,303.3
1,082.621
2.178.2
266,175
1,127.7
102,160
475.0
74,205
330.4
45.456
244.1
201,160
404.7
30,406
128.8
Suburban Area5
5.614 agencies;
population 91.812.000:
Number of offenses known .
Rate
3,898.132
4,245.8
406,517
442.8
3.491,615
3,803.0
4,402
4.8
8.129
30.6
97.258
105.9
276.728
301.4
779,090
848.6
2,347,051
2.556.4
365.474
398.1
'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates appear on
page 54 of this publication.
:Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
3Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
4Includes stale police agencies with no county breakdown.
includes suburban city and county law enforcement agencies within metropolitian areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Population Figures were rounded to the nearest thousand. All rates were calculated on the population before rounding.
Forcible rape Figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by Illinois State Police were not in accordance with national UCR guidelines. See Appendix
1 for details.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their cnme counts be estimated See "Offense Estimation," pages 377-378
for details.
197
Table 17.-Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1994
[1994 estimated population. Rate: Number of crimes per 100.000 inhabitants]
Population group
Crime
Index
total
Modified
Crime
Index
total2
Violent
crime3
Property
crime4
Mm ,1. i
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson-
Suburban Cities
TOTAL SUBURBAN CITIES:
4. txx cities;
population 42.110.000:
Number of offenses known .
Rate
1.940,854
4,609.0
Group IV
433 cities. 25,000 to 49.999;
population 14.741,000:
Number of offenses known
Rate
Group V
1,038 cities, 10,000 to 24.999;
population 16.441,000:
Number of offenses known
Rate
Group VI
2.917 cities under 10.000;
population 10,928.000:
Number of offenses known .
Rate
703.362
4,771.3
697,858
4.244.6
539.634
4,938.3
Nonsuburban Cities
TOTAL NONSUBURBAN CITIES:
2.918 cities;
population 20,478,000:
Number of offenses known . . .
Rate
1,193,435
5,827.8
Group IV
190 cities. 25.000 to 49,999;
population 6.765.000:
Number of offenses known
Rate
Group V
382 cities. 10,000 to 24.999;
population 6.015.000:
Number of offenses known .
Rate
Group VI
2,346 cities under 10,000;
population 7.697,000:
Number of offenses known
Rate
474.411
7,012.3
369,650
6,145.0
349,374
4,539.0
176.173
418.4
1.764,681
4,190.6
1,436
3.4
11.064
26.3
45.622
108.3
118,051
280.3
335,937
797.8
1.264,430
3,002.7
69.634
472 4
63.842
388.3
42,697
390.7
633,728
4,298.9
634.016
3,856.3
496.937
4,547.6
544
3.7
569
3.5
323
3.0
4,101
27.8
4,282
26.0
2,681
24.5
21,018
142 (S
15,481
94.2
9.123
83.5
43.971
298.3
43.510
264.6
30.570
279.8
121,675
740.1
87,069
796.8
430.993
:.42.i 7
454,947
2.767 1
378,490
3.463.6
123.482
603.0
1,069,953
5,224.9
1.184
5.8
8.546
41.7
22J24
109.0
91,428
446.5
218,208
1,065.6
794.238
3.878.5
51.950
767.9
36.844
612.5
34.688
450.7
422.461
6.244.4
332.806
5,532.5
314.686
4,088.3
466
6.9
368
6.1
350
4.5
3.622
53.5
2.691
44.7
29.0
12,096
178.8
6.455
107.3
.1.773
49.0
35.766
528.7
27.330
454.3
28.332
368.1
88.090
1.302 1
66.244
1J01.2
63.874
829.8
307,753
4.548.9
249,75 1
4,151 X
236.734
3,075.6
164.314
390.2
75.542
512.4
57,394
)49 I
31,378
287.1
57,507
280.8
26,618
393.4
16,811
279.5
14.078
182.9
'Suburban places are within Metropolitan Statistical Areas (MSAsi and include suburban city and county law enforcement agencies within the metropolitan area. Central cities are excluded.
Nonsuburban places are outside MSAs.
2Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Cnme Index offenses. Independently tabulated arson rates appear on
page 54 of this publication.
3Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault-
property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property cnme of arson.
Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding.
Forcible rape figures furnished by the slate-level Uniform Cnme Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines. See
Appendix I for details.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
198
Table 18. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1994
(1994 estimated population. Rate: Number of crime?, per 100,000 inhabitants!
Population group
Crime
Index
total
Modified1
Crime
Index
total
Violent
cnme-
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
thet'i
Motor
vehicle
theft
Suburban Counties4
100,000 and over
123 counties;
population 30.499.000:
Number of offenses known
1,417.097
Rate
4.646 4
25,000 to 99.999
330 counties;
population 16,568,000;
Number of offenses known .
416,263
Rale
2,512.5
Under 25.000
773 counties;
population 2.635.000;
Number of offenses known .....
123,855
Rate
4,700.7
Nonsuburban Counties4
25.000 and over
248 counties;
population 9.748.000:
Number of offenses known
209.614
2,150.4
10.000 to 24.999
618 counties;
population 9,673,000:
Number of offenses known
170.963
Rate . . .
1.767.4
Under 10.000
1,289 counties;
population 3.882.000:
Number of offenses known
107,725
Rate
2.775.3
172.334
5650
43,545
262 8
14,402
546.6
23.020
236.2
20.036
207.1
14.202
3659
1 .244.763
4.081.3
372.718
2.249.6
109.453
4.154 1
186.594
1.9142
150.927
1.560.3
93,523
2.409.4
1.990
6.5
758
4.6
407
4.2
461
4.8
10.965
36.0
4.518
27.3
1.519
57.7
2,262
1.986
20.5
2.086
53.7
45.210
148.2
4,892
29.5
1,534
58.2
1,318
13.6
668
17.2
14.169
374 3
33.377
201.5
11.131
422.5
18.186
186.6
16,271
168.2
11,130
286.7
1II2.IMI
990.5
14,731
692.5
26.331
999.4
64.335
660.0
56.258
581.6
31.783
818.8
790.089
2.590.5
232.646
1.404.2
59.886
2.272.9
110.631
1,134.9
85.436
883.3
53.984
1 .390.8
152.583
500.3
25,341
152.9
23.236
881.9
11.628
119.3
9.233
95.5
7,756
199.8
'Arson rales are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses Independently tabulated arson rates appear on
page 54 of this publication.
-Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
-•Offenses include sheriffs' and county law enforcement agencies. Slate police offenses are not included.
Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines. See
Appendix I for details
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana, therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
199
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201
Table 20.— Murder, State, Type of Weapon, 1994
Total
murders '
Tola)
firearms
Handguns
Shotguns
Firearms
(type
Knives or
cutting
instruments
Other
weapons
Hands,
fists,
feet, etc.
42
31
6
45
23
43
9
339
156
26
10
13
14
4
1
38
322
57
67
33
13
7
5
4
154
64
37
16
9
4
51
31
6
4
64
33
32
7
105
39
23
8
15
7
103
22
3
2
19
20
72
43
17
7
226
119
126
1
41
72
37
24
13
13
9
79
57
10
2
39
19
2
2
40
23
175
97
8
3
55
31
46
20
13
5
42
23
1
3
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia3 .
Florida
Georgia
Hawaii.
Idaho
Illinois3
Indiana
Iowa
Kansas3
Kentucky3
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana3
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
499
37
419
293
3,712
178
216
13
398
1.181
678
50
40
1.177
381
44
824
27
579
203
893
138
229
532
15
169
15
396
107
1.992
757
1
600
227
150
699
41
352
9
418
2.027
63
6
574
293
99
225
16
372
24
304
212
2.790
113
159
6
313
647
492
24
24
812
282
21
682
II
407
132
646
79
181
342
9
112
10
214
66
1,356
483
437
159
98
465
21
254
4
293
1.485
43
2
421
184
77
119
10
314
19
228
152
2.453
96
140
3
441
422
19
20
651
234
II
381
62
468
59
165
273
5
94
8
196
49
1.222
389
357
119
69
417
17
196
3
247
1,098
33
1
368
147
57
106
6
23
18
141
3
7
17
26
165
7
5
26
120
3
1
25
4
II
7
1
1
36
16
31
7
7
3
146
19
133
20
3
6
186
3
54
7
47
29
427
29
30
2
47
155
86
6
7
147
46
10
60
6
75
32
103
28
26
65
1
18
3
67
17
291
107
54
31
30
98
8
40
1
62
270
9
2
67
43
4
41
'Total number of murders for which supplem:nlal homicide data were received.
:Firearm breakdowns were not provided by the District of Columbia.
3Complete data for 1994 were not available for the states of Illinois, Kansas. Kentucky, and Montana. See "Offense Estimation.'
pages 377-378 for details
202
Table 21.— Robbery, State, Type of Weapon, 1994
Stale
Total
robberies1
Firearms
Knives or
cutting
instruments
Other
weapons
Suong-
armed
Agency
count
Population
Alabama
4,306
866
6,473
3,145
112,141
3,517
6,150
229
6,3 1 1
44.635
14,362
1,221
207
36.916
6.489
1.061
3,543
11.074
277
20.144
9.557
20.767
5.353
3.176
1 1 .959
1.220
5.114
261
22,760
323
86.473
12.621
70
19.169
4.171
4,236
20.622
870
6,782
122
10.138
37.634
1.213
21
8,676
7.413
771
5,732
79
1.087
346
2.604
1,623
44,471
1,240
2,359
79
18,314
7,396
161
62
16.188
3,026
295
1.373
6.704
72
10,865
2,425
10,667
1,231
1,665
5,766
438
2.611
63
7,675
116
29.984
5,470
7
7.958
1,681
1,507
9.066
232
2.575
36
5,369
17.400
448
6
3,961
2,475
259
3,123
14
1.059
112
675
218
11.006
324
618
10
2.961
792
62
36
3.036
512
95
390
822
24
1.498
1.839
1.271
396
380
799
132
465
25
2.165
34
12,726
981
6
1,103
358
445
1.441
100
669
11
645
3.329
105
4
637
667
61
441
8
1.056
72
637
229
13.829
452
580
22
3.448
1.788
30
30
2.903
502
156
298
748
17
1.348
1.048
3,256
488
241
934
85
388
19
1.656
23
8.921
1.175
44
1.782
249
378
1.007
61
754
7
718
3.369
173
5
780
630
40
325
10
1,104
336
2.557
1.075
42.835
1.501
2.593
118
19,912
4,386
968
79
14,789
2,449
515
1.482
2.800
164
6.433
4,245
5,573
3.238
890
4.460
565
1.650
154
11.264
150
34,842
4,995
13
8,326
1,883
1,906
9,108
477
2.784
68
3.406
13.536
487
6
3,298
3.641
411
1.843
47
5
28
86
185
742
112
99
3
2
429
319
5
100
48
213
180
471
116
141
147
238
475
294
70
210
239
30
82
515
44
693
466
84
304
283
194
691
44
211
43
137
883
99
17
361
212
297
323
64
961.000
579.000
3.912.000
2.422.000
31,409,000
2,619,000
2,781,000
380,000
570,000
13.435,000
5.567.000
1,179.000
1.103,000
4,969.000
3.695.000
2.330.000
Kentucky
Louisiana
3.762.000
3.711.000
1 .206.000
5.004.000
Massachusetts
Michigan
5,008.000
7,980,000
4,471,000
Mississippi
1,073,000
4,195,000
1,560,000
1,429.000
New Hampshire
833.000
7.902.000
547,000
16.408,000
North Carolina
6.848.000
603,000
7.835.000
3.253.000
Oregon
Pennsylvania
3.045.000
9,409.000
997.000
3.636.000
448.000
3.462.000
18.334.000
Utah
1.798.000
Vermont
Virginia
45.000
6.498,000
5.179.000
1.820,000
5.032.000
Wyoming
462.000
'The number of robberies for which breakdowns were received for twelve months of 1994.
breakdowns were not provided by the District of Columbia.
-'Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana. See "Offense Estimation.'
pages 377-378 for details.
203
Table 22. — Aggravated Assault, State, Type of Weapon, 1994
Total
aggravated
assaults'
Firearms
Knives or
cutting
instruments
Other
weapons
Personal
weapons
Agency
count
Population
7,904
1.908
1,919
1.973
2,104
5
961,000
3,105
791
644
743
927
28
579,000
19,614
7.007
3.227
5.165
4,215
86
3,912,000
10,058
3,051
1,392
2.312
3,303
185
2.422,000
191,548
39,274
24,233
53,657
74.384
742
31,409,000
10.569
2,629
1,742
3,883
2,315
112
2.619,000
7,745
1,042
1.220
2,717
2,766
99
2.781.000
970
176
251
428
115
3
380.000
8,218
2
570.000
102.453
24.455
19.189
43.139
15.670
429
13,435.000
23,820
7.020
5.271
7,484
4.045
319
5.567.000
1,461
238
173
255
795
5
1,179.000
2,630
776
647
817
390
100
1.103,000
46.856
16,107
10.477
18,068
2.204
48
4,969,000
15.664
2,526
1 .593
3,629
7.916
213
3,695,000
5,502
819
806
1.427
2,450
180
2,330.000
17,548
2.758
1.361
4,362
9.067
471
3.762.000
24,833
8.256
4.493
6.808
5.276
116
3.711,000
970
43
144
306
477
141
1.206.000
24,690
5.628
5.282
9.928
3.852
147
5.004.000
26.280
2,388
4,276
10.435
9.181
238
5.008.000
40.123
1 1 .679
7,140
16.795
4.509
475
7,980.000
8.034
2,011
2,145
2.323
1,555
294
4,471,000
3.859
1,707
754
656
742
70
1.073,000
22,317
8,121
3,355
7.009
3,832
210
4,195.000
4,511
1.070
678
1.440
1,323
239
1 .560,000
8.245
1.743
1.019
2.064
3,419
30
1,429.000
422
40
73
96
213
82
833.000
23.410
4.534
4.972
7.121
6,783
515
7.902.000
2,692
804
562
663
663
44
547.000
80,070
13,009
19,659
28.071
19,331
693
16.408.000
29,782
9.352
5.843
8.077
6.510
466
6.848.000
294
18
40
100
136
84
603,000
23.860
5,976
4,007
7.266
6,611
304
7,835,000
15.185
3.737
2,176
4,393
4,879
283
3.253,000
10.269
2,505
1,738
3.396
2.630
194
3.045,000
20.256
4,302
3.048
4.667
8,239
691
9.409.000
2.560
338
422
1.015
785
44
997.000
28.425
7.098
6,485
10.927
3.915
211
3.636.000
900
163
231
166
340
43
448.000
20.672
5.968
3.625
6.720
4,359
137
3.462,000
81.014
23,507
16.064
21.247
20,196
883
18.334,000
3.598
677
648
1.343
930
99
1.798.000
133
27
28
60
18
17
45.000
12,246
2,212
2,651
3.300
4,083
361
6.498.000
16,069
4.203
2,664
4.685
4.517
212
5.179,000
2,687
422
458
541
1.266
297
1.820.000
6,516
1,324
1.041
1.342
2,809
323
5,032.000
1.032
167
187
276
402
64
462.000
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia2
Florida
Georgia
Hawaii
Idaho
Illinois3
Indiana
Iowa
Kansas3
Kentucky
Louisiana
Maine
Maryland
Massachusetts ,
Michigan
Minnesota
Mississippi
Missouri
Montana3
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
'The number of aggravated assaults for which breakdowns were received for twelve months of 1994.
breakdowns were not provided by the District of Columbia.
^Complete data for 1994 were not available for the states of Illinois. Kansas, and Montana. See "Offense Estimation." pages 377-378 for details.
204
Table 23. — Offense Analysis, 1994, and Percent Change from 1993
[12,230 agencies; 1994 eslimated population 224.798,000]
Classification
Number of
offenses
1994
Percent
change over
Percent
distribu-
tion1
Average
value
MURDER
FORCIBLE RAPE
ROBBERY:
Total
Street/highway
Commercial house
Gas or service station
Convenience store
Residence
Bank
Miscellaneous
BURGLARY
Total . . .
Residence (dwelling):
Night
Day
Unknown
Nonresidence (store, office, etc.):
Night
Day
Unknown
LARCENY-THEFT (EXCEPT MOTOR VEHICLE THEFT):
Total
By type:
Pocket-picking
Purse-snatching
Shoplifting
From motor vehicles (except accessories)
Motor vehicle accessories
Bicycles
From buildings
From coin-operated machines
All others
By value:
Over $200
$50 to $200
Under $50 .
MOTOR VEHICLE THEFT
20,154
88.310
297.195
66.987
11.822
28.008
59.296
7.885
73.425
2J5U05
1,572.357
482,450
698,560
391.347
778.848
347.425
210.400
221,023
6,81 1,362
55.077
52.276
.018,465
.612,824
876,695
429,297
887,713
45,941
.833,074
2.547,400
1,595,581
2.668.381
1.379.897
-6.7
-4.4
-h.5
-6.0
-8.2
-12.6
-9.7
-1.4
-24.7
-6.0
-3.8
-6.2
-3.0
-2.3
-6.4
-9.5
-3.0
■4.4
-10.8
-10.6
-1.9
+ 1.9
-6.2
+3.7
-.7
-14.2
+4.7
+2.5
+.5
-1.7
54.6
12.3
2.2
5.1
10.9
1.4
13.5
66.9
20.5
29.7
16.6
33.1
14.8
8.9
9.4
15.0
23.7
12.9
6.3
13.0
.7
26.9
37.4
23.4
39.2
$111
26
651
1,229
450
387
1,041
3.551
738
Mil
1.296
991
1,505
1,297
1.341
1,354
1,174
1.480
428
279
133
542
312
252
851
228
680
1,256
119
20
4,940
'Because of rounding, percentages may not add to totals
Complete data for 1994 were not available for the states of Illinois. Kansas, and Montana. See "Offense Estimation.'
pages 377-378 for details
Table 24. — Type and Value of Property Stolen and Recovered, 1994
[12.230 agencies; 1994 estimated population 224.798.000)
Type of property
Value of property
Percent
Stolen
Recovered
recovered
Total1
$13,789,168,000
$4,691,835,000
34.0
949.428,000
1.101.215.000
442.649.000
6,873.827,000
381.893.000
1.091.812,000
123,257.000
233.224.000
116.812.000
18.739.000
2.456.312.000
42,411,000
47,612,000
48.058.000
4,199,312,000
36.802.000
47,464.000
12.562,000
13,412,000
13.014.000
3,235,000
227.952.000
4.5
4.3
10.9
61.1
9,6
4.3
10.2
5.8
111
17.3
9.3
'All totals and percentages calculated before rounding.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana. See "Offense Estimation," pages 377-378 for details.
205
SECTION III
Crime Index Offenses Cleared
For UCR purposes, law enforcement agencies clear or solve
an offense when at least one person is arrested, charged with
the commission of the offense, and turned over to the court for
prosecution. Clearances recorded in 1994 may be for offenses
which occurred in prior years. Several crimes may be cleared
by the arrest of one person, while the arrest of many persons
may clear only one offense. Law enforcement agencies may
clear a crime by exceptional means when some element
beyond law enforcement control precludes the placing of for-
mal charges against the offender. Examples of circumstances
allowing such clearances are the death of the offender (suicide,
justifiably killed by police or private citizen, etc.); the victim's
refusal to cooperate with prosecution after the offender has
been identified; or the denial of extradition because the
offender committed another crime and is being prosecuted in a
different jurisdiction. In all exceptional clearance cases, law
enforcement must have identified the offender, have enough
evidence to support arrest, and know the offender's location.
Law enforcement agencies nationwide recorded a 21-percent
Crime Index clearance rate for 1994. Collectively, 45 percent of
violent crimes were cleared. Among the violent offenses, the
rates were 64 percent for murder, 52 percent for forcible rape,
24 percent for robbery, and 56 percent for aggravated assault.
Clearances for crimes against persons (murder, forcible rape,
and aggravated assault) are generally higher as these offenses
are often given more intensive investigative efforts and the
victims and/or witnesses can frequently identify the
perpetrators.
The overall property crime clearance rate was 18 percent.
Thirteen percent of the burglaries, 20 percent of the larceny-
thefts, 14 percent of motor vehicle thefts, and 15 percent of
arsons were cleared during the year.
When considering the Modified Crime Index total which
includes arson, the overall clearance rate remained the same, 21
percent.
Geographically, the highest total Crime Index clearance rate
was registered in the Southern States, with 22 percent. In the
remaining three regions, 21-percent clearance rates were
recorded. For violent crime, the highest clearance rate, 48
percent, was also recorded in the South. In the West, the rate
was 46 percent; in the Northeast, 43 percent; and in the
Midwest, 39 percent. Property crime clearance rates were 18
percent in the South and Midwest and 17 percent in the North-
east and West.
By community type, city law enforcement agencies and
those in suburban counties showed clearances for 21 percent of
the Crime Index offenses brought to their attention. Rural
county agencies cleared 24 percent. Among the city population
groups, those with 10,000 to 24,999 inhabitants registered the
highest total Crime Index clearance rate, 26 percent. The high-
est violent crime clearance rate was recorded in the rural
counties with 61 percent. Like the Crime Index clearance rate,
the property crime clearance rate was highest for cities with
populations from 10,000 to 24,999, 24 percent. (See Table 25.)
Clearances Involving Only Persons under 18 Years of Age
Involvement of juveniles in crime can be measured by the
number of crimes in which they have been identified as the
offenders. Even though no physical arrest may have been
made, a clearance by arrest is recorded when an offender under
18 years of age is cited to appear in juvenile court or before
other juvenile authorities. Since the juvenile clearance percent-
ages shown in this publication indicate only those offenses
where no adults were involved, they should be considered a
slight underestimation of juvenile involvement in crime. Juve-
niles (persons under 18 years of age) account for 26 percent of
the United States population, according to 1994 Bureau of the
Census estimates.
Twenty-two percent of the Crime Index offenses cleared by
law enforcement during 1994 involved only young people
under age 18. Persons in this age group accounted for 14
percent of the violent crime clearances and 25 percent of those
for property crimes. Murder showed the lowest percentage of
juvenile involvement (11 percent), while the highest percentage
was shown for arson (48 percent).
Geographically, the Midwestern States recorded the largest
percentage of Crime Index offense involvement by the under
18 age group — 24 percent. Juveniles alone were the offenders
in 22 percent of the clearances in the Western States, 21 percent
of those in the Southern States, and 20 percent of those in the
Northeastern States.
206
HART 3.
CRIMES CLEARED
by ARREST
1994
c
a
a.
Murder
Aggravated
Assault
Forcible Robbery
Rape
Crimes
Violence
□ Not Cleared
J Cleared
u
a.
Burglary
Larceny-Theft Motor Vehicle
Theft
Crimes
Against
Property
□ Not Cleared
I I Cleared
207
Table 25. — Offenses Known and Percent Cleared by Arrest1, Population Group, 1994
[1994 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total2
Violent
crime3
Property
crime4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson2
TOTAL ALL AGENCIES:
12,025 agencies;
population 226,250,000:
12,586,227
12,685,194
1,720,302
10,865,925
21,331
89,766
586,812
1,022.393
2,420,928
7,007,173
1,437,824
98,967
21.4
21.4
45J
17.7
64.4
51.9
24.4
56J
13.4
19.9
14.0
15.4
TOTAL CITIES: 8,357 cities;
population 154,033,000:
10,150,617
10,230,191
1,433,296
8,717,321
17,229
66309
531346
818.012
1,827,847
5,680,181
1,209,293
79374
213
21.4
43.5
17.8
62.7
51.4
24.0
55.1
12.8
20.5
13.1
143
Group I
64 cities, 250,000 and over;
population 46.578.000:
Offenses known
4.072.226
4,110.178
769.511
3,302.715
10.396
27,221
340.022
391.872
714,854
1,930.544
657.317
37,952
Percent cleared by arrest
19.0
189
38.9
14.3
58.4
53.6
21.9
52.0
111
16.8
10.5
10.6
9 cities. 1,000.000 and over;
population 21.338.000:
1.724.591
19.0
1.742.315
18.9
397.064
37.8
1.327.527
13.4
5.293
51.3
8.786
51.4
187.114
21.4
195.871
52.5
289.602
10.0
719,696
16.8
318.229
8.6
17.724
Percent cleared by arrest
6.5
19 cities. 500.000 to 999,999;
population 12.329,000:
Offenses known
1.064.792
1.074.558
161.648
903,144
2,290
8.638
69.406
81.314
190.257
566,351
146.536
9,766
Percent cleared by arrest
18.4
18.3
40.4
14.4
65.6
59.3
22.7
52.7
12.4
15.4
13.4
11.8
36 cities. 250.000 to 499.999;
population 12.911.000:
1,282.843
194
1.293.305
19.4
210.799
39.6
1.072,044
15.4
2.813
65.8
9,797
50.7
83.502
22.2
1 14.687
50.7
234,995
11.3
644,497
18.1
192,552
11.4
10.462
Percent cleared by arrest
16.4
Group II
132 cities. 100.000 to 249.999;
population 19,329.000:
1,510,551
20.8
1.523.499
20.7
201.905
44.6
1.308,646
17.1
2,598
67.0
10.143
50.4
70,987
264
118.177
545
294.977
12.3
834,915
195
178.754
13.6
12,948
Percent cleared by arrest
15.4
Group III
344 cities. 50.000 to 99.999;
population 23.605,000:
Offenses known
1.429,055
22.2
1,438.358
22.2
164,939
45.3
1.264,116
19.2
1.688
65.9
9.679
48.3
52.808
25.5
100.764
55.0
265,584
13.0
848.813
22.3
149,719
12.8
9.303
Percent cleared by arrest
15.5
See footnotes at end of table.
208
Table 25. — Offenses Known and Percent Cleared by Arrest1, Population Group, 1994 — Continued
Population group
Crime
Index
total
Modified
Crime
Index
total2
Violent
crime3
Property
crime4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson2
Group IV
625 cities. 25.000 to 49.999;
population 21.501.000;
Offenses ktiown
1.164.225
1,171,704
118.377
1,045.848
979
7,430
32,937
77,031
58.0
212,030
731,555
102,263
7,479
Percent cleared by arrest
23 1
23.0
49.5
20.1
72.1
48.9
29.2
13.8
22.5
156
17.0
Group V
1.464 cities. 10,000 to 24,999.
population 23,065,000:
Offenses known
1.071.097
1.077.300
100.330
970,767
918
6,968
21,790
70,654
187,571
708,605
74,591
6,203
Percent cleared by arrest
26,4
26.4
54.7
23.5
74.4
50.1
32.8
61 .7
15.9
25.7
22.3
22.8
Group VI
5.728 cities under 10.000;
population 19,855.000:
Offenses known
903,463
909,152
78,234
825,229
650
5,068
13,002
59,514
152,831
625,749
46,649
5,689
Percent cleared by arrest
24.8
24.8
59.2
21.6
74.8
53.0
32.4
65.4
16.8
22.1
29.3
24.5
Suburban Counties
1.267 agencies;
population 48,266,000;
Offenses known
1,914,709
1,929.468
226.641
1 ,688,068
2,893
16.495
50,926
156,327
432,191
1,058,108
197,769
14,759
Percent cleared by arrest
20,7
20.7
52.3
165
683
53.3
27.3
60.0
14.5
17.3
16.6
18.6
Rural Counties
2,401 agencies;
population 23.950.000:
Offenses known , .
520,901
525,535
60.365
460.536
1,209
6,762
4,340
48,054
160,890
268,884
30,762
4,634
21.8
Percent cleared by arrest
23.6
23.6
609
187
80.1
53.2
39.0
63.5
16.6
18.4
32.0
Suburban Area5
5,955 agencies;
population 91,991.000
Offenses known . .
3,871,249
3,898,341
403,284
3,467,965
4.322
27,419
96,368
28.2
275,175
769.282
14.5
2.334,442
20 1
364.241
27,092
Percent cleared by arrest
22.0
22.0
52.5
18 5
68.0
51.9
60.9
16.9
190
'Includes offenses cleared by exceptional means
2The number of agency reports used in arson clearance rates is less than used in compiling clearance rales for other Cnme Index offenses. It is not necessary to report clearances by detailed property
classification to be included in this table The Modified Crime Index total is the sum of the Cnme Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
4Property crimes are offenses of burglary, larceny- theft, and motor vehicle theft. Data are not included for the property crime of arson,
includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities Suburban cities and counties are also included in other groups.
Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines and were
excluded from the forcible rape, violent cnme, Cnme Index total, and Modified Cnme Index total categories
Complete data for 1994 were not available for the states of Illinois. Kansas, and Montana; therefore, it was necessary that their cnme counts be estimated. See "Offense Estimation," pages 377-378
for details.
209
Table 26. — Offenses Known and Percent Cleared by Arrest1, Geographic Region and Division, 1994
[1994 estimated population]
Geographic region/
division
Crime
Index
total
Modified
Crime
Index
total2
Violent
crime3
Property
crime'1
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson2
TOTAL
12,025 agencies; population
226,250,000:
12,586,227
12,685,194
1,72032
10,865.925
21,331
89,766
586,812
1,022,393
2,420,928
7,007,173
1,437,824
98,967
21.4
21.4
45.3
17.7
64.4
51.9
24.4
56J
13.4
19.9
14.0
15.4
New England
660 agencies; population
10,800,000:
Offenses known
477,556
21.7
483.597
21.6
56.920
51.7
420.636
17.7
491
66.2
3,319
51.5
16.355
27.1
36,755
62.4
95.261
138
261,650
198
63.725
14.8
6.041
Percent cleared by arrest
6.8
Middle Atlantic
2,245 agencies; population
36,284.000:
Offenses known
1,612.066
1,627,635
271,501
1,340,565
3,061
9.587
131.293
127.560
289.686
824,000
226.879
15.569
Percent cleared by arrest
21.1
21.0
410
17.0
67.8
56.2
25.0
55.7
13.3
20.5
9.2
10.6
Northeast
2,905 agencies; population
47,084,000:
2,089.622
2,111.212
328,421
1,761,201
3,552
12.906
147,648
164315
384,947
1,085,650
290,604
21.610
21.2
21.1
42.9
17.2
67.6
55.0
25.2
57.2
13.4
2(1 .3
10.5
9.5
East North Central
1,519 agencies; population
30,059.000:
Offenses known
1,632,060
1.646.516
234.787
1.397,273
3,075
13,429
87.940
130,343
291.817
921.844
183.612
14.456
Percent cleared by arrest
19.6
19.6
36.8
167
45.9
40.4
18.9
48.2
11.0
190
14.6
13.6
West North Central
1,116 agencies; population
14,028,000:
Offenses known
643,422
648,255
68.125
575.297
780
5,879
19.809
41,657
116,532
407.026
51.739
4.833
Percent cleared by arrest
23.1
23.1
48.4
20.1
79.2
55.1
25.5
57.8
13.7
21.9
20.5
158
Midwest
2,635 agencies; population
44,087,000:
2475,482
2,294,771
302,912
1,972,570
3,855
1938
107.749
172,000
408349
1,328,870
235351
19,289
20.6
20.6
39.4
17.7
52.7
44.8
20.1
50.6
11.8
19.9
15.9
14.1
South Atlantic
2,476 agencies; population
44.807,000:
Offenses known
2,796.428
2.810,577
373,658
2.422.770
4.531
18,384
1 14,765
235.978
566.095
1 .590,485
266.190
14,149
Percent cleared by arrest
21.8
21.8
47.2
17.8
71.0
55.9
25.8
56.4
152
18.8
175
21.2
East South Central
681 agencies; population
8.122,000:
Offenses known
418.574
23.5
421.449
23.5
63,293
52.6
355.281
18.3
844
70.5
4,053
58.5
16.789
28.4
41.607
61.4
91.579
14.5
222.392
20.1
41,310
17 1
2,875
Percent cleared by arrest
21.7
West South Central
1,494 agencies; population
27,895.000:
Offenses known
1.643,284
1.656,260
204,378
1,438.906
3,360
13,515
56.059
131.444
333,059
946,854
158.993
12,976
Percent cleared by arrest
23.2
23.2
49.7
19.5
71.1
58.0
28.2
57.4
14.4
21.5
177
20.7
See footnotes at end of table.
210
Table 26. — Offenses Known and Percent Cleared by Arrest1, Geographic Region and Division, 1994 — Continued
Geographic region/
division
Crime
Index
lotal
Modified
Cnme
Index
total2
Violent
crime1
Property
crime4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
South
4,651 agencies; population
80,824,000:
Offenses known
Percent cleared by arrest.
Mountain
639 agencies; population
13,257,000:
Offenses known
Percent cleared by arrest .
Pacific
1.195 agencies; population
40,998.000:
Offenses known
Percent cleared by arrest
West
1,834 agencies; population
54,255,000:
Offenses known
Percent cleared by arrest.
4.858,286
22.4
818.604
21 5
2,544,233
20.5
3,362,837
20.8
4.888.286
22.4
823.451
21.4
2.567.454
20.5
3.390,905
20.7
641.329
48.5
79.341
45.0
368,299
46.7
447,640
46.4
4.216.957
18.4
739.263
18.9
2.175,934
16.1
2,915,197
16.8
8,735
71.0
978
64.3
4.211
58.8
5,189
59.9
35,952
57.0
5,652
38.7
15.948
51.1
21.600
47.9
187,613
26.7
18.290
23.2
125.512
23.8
143,802
23.8
409,029
57.3
54.421
52.6
222.628
59.0
277,049
57.8
990,733
14.9
148,672
115
488.227
12.2
636,899
12.1
2,759.731
19.9
509,354
21.8
1.323,568
18.9
1,832,922
19.7
466,493
17.5
81,237
14.6
364,139
11.0
445,376
11.6
30,000
21.1
4,847
17.7
23,221
14.3
28,068
14.9
'Includes offenses cleared by exceptional means.
:The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses It is not necessary to report clearances by detailed property
classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
4Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property cnme of arson.
Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines and were
excluded from the forcible rape, violent crime. Crime Index total, and Modified Cnme Index total categories.
Complete data for 1994 were not available for the slates of Illinois. Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
211
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213
Table 28.— Offenses Cleared by Arrest1 of Persons Under 18 Years of Age, 1994
[1994 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total2
Violent
crime1
Property
crime4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson2
TOTAL ALL AGENCIES:
11,843 agencies;
population 214,228,000:
2,551,634
21.7
2,048,487
21.8
2,566,614
21.9
2,059,784
21.9
710,373
14.2
558,867
14.1
l.841.:dl
24.6
1,489,620
24.6
12,216
10.5
9378
11.1
43,887
14.5
31,812
12.9
122.088
19.6
106,825
19.4
532,182
13.1
410,852
13.0
306,301
21.4
219,998
20.4
1,344,310
25.4
1.120.074
25.4
190,650
24.7
149,548
25.3
14.980
48.2
TOTAL CITIES: 8,315 cities;
population 144.272.111)11:
Total clearances
1U97
50.3
Group I
61 cities: 250.000 and over;
population 38,043,000:
666,575
17.8
243.904
14.8
173,961
17.7
248,710
20.9
304,837
20.2
312.599
24.2
670,465
18.0
245.057
14.9
174.986
17.8
250.422
21.1
306.777
20.3
314.026
24.3
240.049
12.7
100,943
10.8
55.581
13.8
83.525
14.2
87,563
139
73,926
15.3
426,526
20.7
142.961
17.7
118.380
19.5
165,185
24.3
217,274
22.7
238.673
26.9
4.734
11.5
1,715
10.0
1.167
10.8
1,852
13.4
1.702
12.0
1,102
10.4
12.636
11 8
3.153
9 0
4.517
14.7
4.966
10.9
4,991
107
4.540
12.8
54.682
174
22.268
164
13,854
168
18.560
19.0
18.186
20.0
13.320
21.7
167,997
11.2
73.807
9.1
36,043
12.6
58,147
13.0
62,684
12.5
54.964
14.1
67,482
16.0
21,019
14.4
19,936
13.3
26,527
19.3
35.123
17.4
34,078
21.1
297.200
20.4
99,482
16.6
80,942
19.4
116,776
24.3
158,507
23.6
185.765
28.2
61,844
27.8
22,460
25.5
17,502
27.1
21.882
30.6
23,644
24.5
18.830
250
3,890
48.1
8 cities. 1 ,000,000 and over;
population 14,001,000:
1,153
46.3
17 cities, 500,000 to 999,999;
population 11.131,000:
1.025
36 cities. 250,000 to 499,999;
population 12,911,000:
44.0
1,712
51.9
Group II
130 cities, 100.000 to 249,999;
population 18,983.000:
1.940
48.3
Group III
338 cities. 50.000 to 99.999;
population 23,232,000:
1,427
54.8
See footnotes at end of table.
214
Table 28. — Offenses Cleared by Arrest1 of Persons Under 18 Years of Age, 1994 — Continued
Population group
Crime
Index
total
Modified
Crime
Index
total2
Violent
crime3
Property
crime4
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Group IV
619 cities, 25,000 to 49.999:
population 21,403.000:
Total clearances
Percent under 18
Group V
1,449 cities, 10.000 to 24.999.
population 22.809.000
Total clearances
Percent under 18
Group VI
5,718 cities under 10.000:
population 19,803,000
Total clearances
Percent under 18
Suburban Counties
,209 agencies;
population 46,582,000:
Total clearances
Percent under 18
Rural Counties
2.319 agencies;
population 23,374,000:
Total clearances
Percent under 18
265,497
25.1
275,361
24.4
223.618
25.0
382,839
22.7
120,308
18.3
266.744
25.2
276.764
24.5
225.008
25.2
385.518
22.9
121,312
18.4
57,912
16.0
53,294
16 I
46,123
15.7
115,549
15.9
35.957
10.5
207.585
27.6
222.067
26.4
177.495
27.5
267.290
25.7
84,351
21.6
691
8.1
664
II 4
485
8.2
1.894
9.2
944
77
3.576
14.8
3.397
15 4
2,672
16.5
5.5 i I
19.9
3,544
16 I
6,930
22.2
4,204
22.5
13.615
21.9
1.648
12.6
44.142
148
42.303
15.2
38,762
15.0
91.509
14.8
29.821
9.8
28.779
23.6
28.995
24.4
25.541
27.3
60.174
24.4
26.129
22 2
163.130
28.8
177.165
27.1
138.307
27.9
175.655
26.6
48,581
21.3
15.676
22.4
15.907
217
13.647
23.2
9.641
22.0
1.247
51.9
1,403
50.5
1.390
53.0
2.679
45.9
1.004
31.1
Suburban Area'
5.877 agencies;
population 89.976.000:
Total clearances
Percent under 18
833,087
23.4
838.165
23.5
207.647
16.4
625,440
25.7
2,841
9.0
13.845
18.4
26.661
22.9
164.300
15.3
108,341
24.5
457,704
26.5
59.395
22.0
5,078
50.0
'Includes offenses cleared by exceptional means.
2The number of agency reports used in arson clearance rates is less than those used in compiling clearance rates for other Cnme Index offenses. It is not necessary to report clearances by detailed
property classification to be included in this table. The Modified Cnme Index total is the sum of the Crime Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
•"Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft Data are not included for the property crime of arson.
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities are also included in other groups.
Forcible rape figures furnished by the slate-level Uniform Crime Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines and were
excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation," pages 377-378
for details.
215
SECTION IV
Persons Arrested
Primarily a gauge of law enforcement's response to crime,
arrest counts also provide definitive data concerning the age,
sex, and race of perpetrators. Arrest practices, policies, and
enforcement emphases vary from place to place and even
within a community from time to time as, for example, during
a local police campaign against residential burglary. While the
practices for certain unlawful conduct such as drunkenness,
disorderly conduct, vagrancy, and related violations may differ
among agencies, those for robbery, burglary, and other serious
crime arrests are more likely to be uniform and consistent
throughout all jurisdictions. The Program's procedures require
that an arrest be counted on each separate occasion a person is
taken into custody, notified, or cited. Annual arrest figures do
not measure the number of individuals arrested since one
person may be arrested several times during the year for the
same or different offenses.
Nationwide, law enforcement agencies made an estimated
14.6 million arrests in 1994 for all criminal infractions except
traffic violations. The highest arrest counts among the specific
crime categories were for larceny-theft, 1.5 million, and drug
abuse violations and driving under the influence, each 1.4
million. Simple assault arrests numbered 1.2 million. (See
Table 29.)
When the overall arrest volume was related to the total
United States population, the rate was 5,715 arrests per 100,000
inhabitants. Among the city population groupings, those with
more than 250,000 inhabitants recorded the highest arrest rate,
7,824, while those with populations from 25,000 to 49,999
recorded the lowest rate, 5,341. (See Table 31.) For suburban
county agencies overall, the arrest rate was 4,278, and for rural
county law enforcement, it was 3,795 per 100,000 inhabitants.
Regionally, the arrest rates per 100,000 population ranged from
5,435 in the Northeast to 5,918 in the South. (See Table 30.)
Due to NIBRS conversion efforts, no arrest data for Kansas,
Montana, and most Illinois law enforcement agencies were
available for 1994. Therefore, tables showing the age, sex, or
race of persons arrested contain limited or no data for these
states. Arrest totals were, however, estimated for inclusion in
Table 29, "Total Estimated Arrests, United States, 1994."
Arrest Trends
The number of arrests for all offenses except traffic viola-
tions increased 6 percent in 1994 as compared to the 1993
volume. An increase of 1 percent was reported for violent and
property crime arrests.
During the same time period, adult arrests for all offenses
increased 5 percent, and those of juveniles were up 11 percent.
Violent crime arrests showed virtually no change for adults and
increased 7 percent for juveniles. For the 2-year period, prop-
erty crime arrests declined 2 percent for adults but were up 5
percent for juveniles. (See Table 36.)
Two-year arrest trends showed a 6-percent increase in over-
all arrests for cities and 4-percent increases in arrests for
suburban and rural counties. (See Tables 44, 50, and 56.)
For the 5-year period, 1990 versus 1994, total arrests were up
1 percent and juvenile arrests rose 21 percent. Adult arrests
declined 2 percent for the same timeframe. (See Table 34.)
Total Crime Index arrests declined 3 percent, and those of
adults, 8 percent; but those of juveniles rose 9 percent. During
the same years, 1990-1994, total violent crime arrests increased
4 percent, but property crime arrests fell 6 percent.
For the decade, 1985-1994, increases in arrest volumes were
recorded for all offenses, 20 percent; Crime Index arrests, 17
percent; violent crime arrests, 52 percent; and property crime
arrests, 8 percent.
The 1994 drug abuse violation arrest total was up 18 percent
above the 1993 level, 20 percent higher than in 1990, and 61
percent higher than in 1985. The following table shows the
types of drugs involved in violations resulting in arrests during
1994 by geographic region.
Table 4.1 — Arrests for Drug Abuse Violations, 1994
[Percent distribution]
United
North-
Mid-
South-
West-
States
eastern
western
ern
ern
total
States
States
States
States
Total1
100.0
100.0
100.0
100.0
100.0
26.7
37.4
27.8
23.6
21.5
Heroin or cocaine and their
16.8
5.8
30.0
6.0
9.3
7.8
15.5
5.6
10.8
5 1
Synthetic or manufactured drugs
.5
.5
.4
.8
.3
Other dangerous nonnarcotic drugs ....
3 6
.9
10.3
1.7
5.2
73.3
62.6
72.2
76.4
78.5
Heroin or cocaine and their
derivatives
30.3
32.4
18.2
31.2
32.2
Marijuana
29.8
27.5
40.2
389
192
Synthetic or manufactured drugs
1.2
.8
1.0
1.6
1.2
Other dangerous nonnarcotic drugs ....
12.0
2.1
12.7
4.7
259
'Because of rounding, percentages may not add
III li'l.ils
216
Age
Seven percent of all persons arrested nationally in 1994 were
under the age of 15; 19 percent were under 18; 31 percent were
under 21; and 45 percent were under 25. Persons in the
under-25 age group accounted for 46 percent of arrests in the
cities and 41 percent of those in the suburban and rural
counties.
Age distribution figures for persons arrested for Crime
Index offenses showed 31 percent were under the age of 18; 44
percent, under 21; and 56 percent, under 25. The under-25 age
group was also responsible for 47 percent of the violent crime
arrests and 59 percent of property crime arrests in 1994.
Larceny-theft was the offense resulting in the most arrests of
persons under age 18, while adults were most often arrested for
driving under the influence. (See Table 38.)
Sex
Eighty percent of the persons arrested in the Nation during
1994 were males. (See Table 42.) They accounted for 77 per-
cent of Index crime arrests, 86 percent of those for violent
crimes, and 73 percent of the property crime arrests. Men were
most often arrested for drug abuse violations and driving under
the influence, which jointly accounted for 20 percent of all
male arrests.
As in past years, larceny-theft was the crime for which
females were most often arrested. This single offense
accounted for 74 percent of arrests of women for Index crimes
and 17 percent of all female arrests. Fifty-five percent of all
female larceny-theft arrestees were under 25 years of age.
Two-year trends showed a 5-percent increase in the number
of male arrests from 1993 to 1994, and a 7-percent rise in
female arrests for the same period. (See Table 37.) Arrests of
males declined 1 percent, while those of females were up 9
percent for the 5-year period from 1990 to 1994.
Race
Race distribution figures for the total number of arrests in
the United States during 1994 showed 67 percent of the
arrestees were white, 31 percent were black, and the remainder
were of other races. (See Table 43.) Whites accounted for 61
percent of the Index crime arrests, 53 percent of the arrests for
violent crimes, and 64 percent of those for property crimes.
Table 29.— Total Estimated Arrests', United States, 1994
Total2
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3
Property crime4
Crime Index total5 .
Other assaults
Forgery and counterfeiting
Fraud
14,648,700
22,100
36,610
172,290
547,760
396,100
1,514,500
200,200
20,900
778,730
2,131,700
2.910,400
1,223,600
115,300
419,800
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 family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses
Suspicion (not included in totals)
Curfew and loitering law violations
Runaways
14,300
164,700
323,300
259,400
98,800
100,700
1,351,400
18,500
117,200
1,384,600
541,800
713,200
746,200
25,300
3,743,200
14,000
128,400
248,800
'Arrest totals are based on all reporting agencies and estimates for unreported areas.
2Because of rounding, figures may not add to totals.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
■•Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
217
Table 30. — Arrests, Number and Rate, Regions, 1994
{Rate: Number of arrests per 100,000 inhabitants]
Offense charged
United States Total
(10,654 agencies;
population 207,624,000)
Northeast
(2.301 agencies;
population 42.933,000)
Midwest
(2,086 agencies;
population 36.652,000)
South
(4,647 agencies;
population 76,322.000)
West
(1,620 agencies;
population 51,716,000)
TOTAL
11,865,793
5,715.1
2,333,226
5,434.6
2,078,120
5,669.9
4,516,367
5,917.5
2,938,080
5,681.2
Murder and nonnegligent manslaughter
18.497
8.9
29,791
14.3
146,979
70.8
449,716
216.6
319.926
154.1
1.236,311
595.5
166,260
80.1
16,764
8,1
2.824
6.6
5,452
12.7
47,423
110.5
79.936
186.2
51.522
120.0
201,206
468.7
26.323
61.3
2,961
6.9
3.673
10.0
6,328
17.3
17.666
48.2
54.052
147.5
41.736
113.9
217.691
593.9
23.598
64,4
3.471
9.5
7.759
10.2
11.811
15.5
45.741
59.9
169.800
222.5
126.351
165.5
484.650
635.0
57.078
74.8
5.429
7.1
4,241
8.2
Forcible rape
Rate
Rate
Aggravated assault
6.200
12.0
36.149
69.9
145.928
282.2
100,317
194.0
332,764
643.4
59.261
114.6
4,903
Rate
9.5
644,983
3107
1.739.261
837.7
135.635
315.9
282,012
656.9
81.719
223.0
286,496
7M 7
235,111
308.1
673,508
882.5
192.518
372.3
497.245
Rate
961.5
2,384.244
1.148.4
417.647
972.8
368.215
1,004.6
908.619
1.190.5
689,763
Rate
1.333.7
991.881
477.7
93,003
44.8
330,752
159.3
11.614
5.6
134.930
65.0
259.579
125.0
213.494
102.8
86.818
41.8
81,887
39.4
1.118,346
538.6
15.845
7.6
92.133
44.4
1.079.533
519,9
424.452
204.4
571.420
275.2
601.002
289.5
21,413
10.3
3,046.100
1.467.1
11.395
5.5
105.888
51.0
201.459
97.0
175.119
407.9
12.300
28.6
76.878
179.1
722
1.7
31,760
74.0
61.482
143.2
32.033
74.6
20,870
48.6
13,613
31.7
258,581
602.3
6,289
14.6
23.674
55.1
138.908
323.5
58,974
137.4
26,758
62.3
189,103
440.5
7.066
16.5
748.049
1,742.4
1.335
3.1
12.324
28.7
21.076
49.1
183,717
501.2
12.645
34.5
48.436
132.2
1.604
4 4
25.021
68.3
54,518
148.7
37.051
101.1
14.430
39.4
14.545
39.7
131.789
359.6
2.684
7,3
27,595
75.3
213.415
582.3
133,455
364.1
45,351
123.7
154.435
421.4
1,979
5.4
537,996
1,467.8
3.429
9.4
30.657
83.6
38.582
105.3
404,946
530.6
42.467
55.6
183.116
239.9
6,624
8.7
36,352
47.6
69,384
90.9
81.614
106.9
24.374
31.9
26.778
35,1
367,983
482.1
4.900
6.4
30.765
40.3
393.648
515.8
127,060
166,5
377.948
495.2
181.297
237.5
3.836
5.0
1.117.975
1.464.8
6.320
8.3
23,723
31.1
102.958
134.9
228.099
441.1
25.591
49.5
22.322
43.2
2,664
5.2
Stolen property; buying, receiving,
41,797
80.8
Vandalism
Rate
74,195
143.5
62,796
Rate
Prostitution and commercialized vice
Rate
Sex offenses (except forcible rape and
121.4
27,144
52.5
26,951
52.1
359,993
696.1
1,972
Rate
3.8
10,099
195
333,562
645.0
104.963
203.0
121.363
234.7
76.167
147.3
8.532
16.5
642.080
Rate
1.241.5
311
.6
39,184
75.8
38,843
Rate
75.1
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
2Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson. Population figures were rounded to the nearest thousand. All rates were calculated before rounding
218
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Table 32.— Total Arrest Trends, 1985-1994
[8.466 agencies; 1994 estimated population 190.094,000; 1985 estimated population 173,352.000]
Offense charged
Numbet of persons arrested
Total all ages
1985
Percent
change
Under 1 8 years of age
1985
Percent
change
18 years of age and over
Percent
change
TOTAL.
Murder and nonneghgenl manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1 .
Property crime-.
Crime Index total3
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 family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . . .
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
9.090,490
14,388
28.629
113,712
237.599
345.002
1,035.885
105,837
14,941
394,328
1.501,665
482,330
66,841
251.358
8.727
100.345
194.419
143.296
98.190
78,171
647,411
24.841
41,010
1.246,523
383.004
766,029
511,342
28.722
1.937,031
10.264
62.913
121.994
10,949,388
17.657
27.628
140.179
415,070
296.137
1,151,733
157.034
15,400
600,534
1,620,304
2,220,838
922.167
86,514
306,072
10.933
123.939
241,129
199,476
82,683
76,046
1,040,351
14,848
81,799
969.328
383,968
534,353
546.875
20,494
2,846,020
9.754
96,875
144,680
1.557,897
1,999.442
7.532.593
8,949,946
+22.7
-3.5
+23.3
+74.7
-14.2
+ 1L2
+48.4
+3.1
1,193
4.286
28,688
32.809
130.807
336,672
39,880
6,163
2,982
4,524
45.046
64.648
106,182
384,861
69,258
8,540
+ 150.0
+5.6
+57.0
+97.0
-18.8
+ 143
+73.7
+38.6
13.195
24.343
85,024
204.790
214.115
699,213
65.957
8,778
14.675
23,104
95,133
350,422
189.955
766.872
87,776
6,860
+52.3
+7.9
66.976
513.522
117.200
568.841
+75.0
+ 10.8
327,352
988,143
483.334
1,051,463
686,041
+ 18.2
1.315.495
1.534.797
+91.2
+29.4
+21.8
+25.3
+23.5
+24.0
+39.2
-15.8
-2.7
+60.7
-40.2
+99.5
-22.2
+.3
-30.2
+6.9
-28.6
+46.9
-5.0
+54.0
+18.6
73.778
6,797
17,210
611
25,118
87,456
23.917
2.335
13,388
73,446
681
2.177
16,367
95,656
21,692
72.051
2.494
257,318
2.278
62.913
121.994
157.734
6.519
18,108
757
33,249
112.702
48.665
959
13.243
121.951
1.346
3.743
9.469
84,523
13.671
124,428
3,472
317.307
1.494
96,875
144.680
+ 113 8
-4.1
+5.2
+23.9
+32.4
+28.9
+ 103.5
-58.9
-I I
+66.0
+97 7
+719
-42.1
-11.6
-37.0
+727
+39.2
+23 3
-34.4
+54 0
+ 186
408.552
60,044
234,148
8.116
75.227
106,963
119.379
95,855
64.783
573,965
24.160
38.833
1,230,156
287,348
744,337
439.291
26,228
1,679.713
7.986
764,433
79.995
287.964
10.176
90,690
128,427
150,811
81,724
62,803
918,400
13,502
78,056
959,859
299,445
520,682
422,447
17.022
2,528,713
8,260
+11.2
-5.1
+ 119
+71 I
-11.3
+9.7
+33.1
-21.9
+47.6
+6.4
+87.1
+33.2
+23.0
+25.4
+20.6
+20.1
+26.3
-14.7
-3.1
+60.0
-44.1
+ 101.0
-22.0
-30.0
-3.8
-35.1
+50.5
+3.4
■Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
Mncludes arson.
221
Table 33.— Total Arrest Trends, Sex, 1985-1994
[8,466 agencies; 1994 estimated population 190.094,000; 1985 estimated population 173,352,000]
Offense charged
Percent
change
Percent
change
Percent
change
Under 18
1985
1994
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1
Property crime2
Crime Index total3
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 family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduci
Vagrancy
All other offenses (except traffic) . .
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
7,507,037
8,778,231
12.629
28,322
105,103
205.388
318.672
715.629
95,839
12,963
15.899
27,325
127,188
345.934
265.032
766,913
137,697
13,117
351,442
1.143.103
516.346
1,182,759
407.661
44,635
145.194
5.52!
88.656
174,881
132,409
29.860
72,366
558.096
21.176
35,807
1,101,479
321,028
697.874
413,576
25,417
1.637.263
8,748
47.677
51,916
750,407
55.725
187,403
6,407
107,451
210,217
183.635
32.109
69,539
869,018
12.613
64,341
831,869
309,433
472,700
432,425
16,132
2,336.711
8.220
68,982
62.009
Ul 1,370
1,583.453
2,171,157
346,527
483,578
+25.9
■3.5
+21.0
+68.4
-16.8
+7.2
+43.7
+ 1.2
1.087
4.207
26.754
27.733
121.229
245.126
35,347
5,583
4,439
40,897
52,630
96,019
261,051
59,598
7.482
+ 158.3
+5.5
+52.9
+89.8
-20.8
+6.5
+686
+34.0
1.759
307
8,609
32,211
26,330
320.256
9.998
1,978
1.758
303
12.991
69,136
31,105
384.820
19.337
2,283
-.1
-1.3
+50.9
+114.6
+ 18.1
+20.2
+93.4
+ 15.4
106
79
1,934
5.076
9,578
91,546
4,533
580
174
85
4,149
12,018
10.163
123.810
9,660
1,058
+46.9
+3.5
59.781
407,285
100,774
424,150
+68.6
+4.1
42.886
358.562
84.188
437.545
+96.3
+22.0
7.195
106,237
16.426
144.691
467,066
113.432
+84.1
+24.8
+29.1
+16.0
+21.2
+20.2
+38.7
+7,5
-3.9
+55.7
-40.4
+79.7
-24.5
-3.6
-32.3
+4.6
-36.5
+42.7
-60
+44.7
+ 19.4
56.685
4,653
13,358
426
22,741
79,964
22,278
683
12.338
62.666
652
1,392
14,195
70.228
18.163
58.226
2,047
204,016
1.787
47,677
51.916
116.183
4.141
13,396
486
29,543
101.152
44.775
490
12.229
107,785
1,275
2,395
8,124
60.453
11,462
95,382
2.818
247,860
1,189
68,982
62,009
+ 105.0
-1 1.0
+.3
+ 14 I
+29.9
+26.5
+ 1010
-.9
+72.0
+95.6
+72.1
-42.8
-13.9
-36.9
+63.8
+37.7
+21.5
-335
+44.7
+ 19.4
74.669
22.206
106.164
3,206
11.689
19,538
10,887
68,330
5,805
89,315
3,665
5,203
145,044
61,976
68,155
97,766
3,305
299,768
1,516
15,236
70,078
171.760
30.789
118.669
4.526
16.488
30,912
15.841
50.574
6,507
171.333
2.235
17.458
137,459
74,535
61,653
1 14,450
4.362
509,309
1.534
27,893
82.671
+ 130.0
+38.7
+ 11.8
+41 2
+41.1
+58.2
+45.5
-26.0
+ 12 I
+91.8
-39.0
+235.5
-5.2
+20.3
-9.5
+ 17 1
+32.0
+69.9
+ 1.2
+83 I
+180
17,093
2,144
3,852
185
2.377
7,492
1.639
1.652
1,050
10,780
29
785
2.172
25.428
3,529
13,825
447
53,302
491
15.236
70.078
41.551
2,378
4.712
271
3.706
11,550
3.890
469
1,014
14.166
71
1,348
1,345
24,070
2,209
29,046
654
69.447
305
27.893
82.671
+39.5
+64.2
+7.6
+ 114.5
+ 136.8
+6.1
+35.2
+113.1
+82.4
+ 128.3
+36.2
+ 143.1
+10.9
+22.3
+46.5
+55.9
+54.2
+ 137.3
-71.6
-3.4
+31.4
+144.8
+71 7
-38 I
-5.3
-37.4
+110.1
+46.3
+30.3
-37.9
+83.1
+ 18.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
2Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
includes arson
222
Table 34.— Total Arrest Trends, 1990-1994
18.497 agencies: 1994 estimated population 187,224.000; 1990 estimated population 179,207,000]
Offense charged
Number of persons arrested
Total all ages
Percent
change
Under 1 8 years of age
Percent
change
1 8 years of age and over
Percent
change
Murder and nonneghgent manslaughter.
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1
Property crime2
Cnme Index total3.
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 family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . .
Suspicion (not included in totals). . .
Curfew and loitenng law violations.
Runaways
10,560,038
17,984
29.856
139.833
367.315
331.183
1,163.501
169,887
14,174
554.988
1.678.745
2.233.733
738.078
69,138
255.594
11.648
125.891
231,779
166.815
91,421
80,934
852,378
14,730
59,018
1,248,954
491.813
678,738
536.592
30.836
2,456,681
17,260
60,475
124,792
16.971
26,934
135,915
398.838
292.264
1.122,112
153,459
15,167
578,658
1,583,002
2,161,660
896.793
81,924
292,131
10,439
119,527
237,522
193,600
79,581
74,081
1,020,919
14.515
80,332
951,487
382,440
515.710
533,441
20.583
2.781.703
10,154
98.897
147,984
1,633,152
+21.4
8,926,886
-5.6
-98
-2.8
+8.6
-11.8
-3.6
-9.7
+7.0
2.508
4.433
33.582
50.425
107.891
342.934
73,353
6.085
2,873
4.452
44,177
63,086
106.394
378.082
67,667
8,473
+ 14.6
+.4
+31.5
+25.1
-1.4
+ 10.2
-7.8
+39.2
15,476
25,423
106.251
316.890
223,292
820.567
96.534
8,089
14.098
22.482
91.738
335.752
185,870
744,030
85,792
6,694
+4.3
-5.7
90.948
530.263
1 14.588
560,616
+26.0
+5.7
464,040
1,148.482
464.070
1.022.386
-3.2
621.211
1.486.456
+21.5
+ 18.5
+ 14.3
-10.4
-5.1
+2.5
+ 16.1
-13.0
-8.5
+ 19.8
-1.5
+36.1
-23.8
-22.2
-24.0
-.6
-33.3
+ 13.2
-41.2
+63.5
+ 18.6
109.967
5.572
9,095
948
32.536
93.696
30.630
1.257
12.840
63.506
689
2.293
13,455
105,818
18,393
87.649
2.478
235.852
3,036
60.475
124.792
1 56.346
6,290
17,747
740
32,430
112.540
47,682
934
13,283
1 19.989
1,324
3.757
9,293
85,319
13.566
124.747
3.413
311.407
1.613
98.897
147.984
+42.2
+ 12.9
+95.1
-21.9
-.3
+20.1
+55.7
-25.7
+3.5
+88.9
+92.2
+63.8
-30.9
-19.4
-26.2
+42.3
+37.7
+32.0
-46.9
+63.5
+ 18.6
628.111
63.566
246,499
10.700
93,355
138,083
136.185
90,164
68.094
788.872
14,041
56,725
1,235,499
385,995
660,345
448.943
28.358
2.220.829
14.224
740.447
75,634
274,384
9,699
87.097
124.982
145,918
78.647
60.798
900.930
13.191
76,575
942.194
297,121
502,144
408.694
17.170
2,470,296
8,541
-8.9
-11.6
-13.7
+6.0
-16.8
-9.3
-111
-17.2
+ 17.9
+ 19.0
+11.3
-9.4
-6.7
-9.5
+7 1
-12.8
-10.7
+ 14.2
-6.1
+35.0
-23.7
-23.0
-24.0
-9.0
-39.5
+ 11.2
-40.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
includes arson.
4Less than one-tenth of 1 percent.
223
Table 35.— Total Arrest Trends, Sex, 1990-1994
[8,497 agencies; 1994 estimated population 187.224.000; 1990 estimated population 179.207.000)
Offense charged
Males
1990
1994
Percent
change
1990
1994
Percent
change
Females
1990
1994
Percent
change
Percent
change
TOTAL .
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' . .
Property crime2 .
Crime Index total3 .
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 family and children . .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic). . .
Suspicion (not included in totals) . . .
Curfew and loitering law violations .
Runaways
8,623,154
8,576.788
265,306
1,501,924
fl8.7
1,936,884
2.118,481
+9.4
367.846
16.129
29.540
128.270
317.680
302.009
792.037
153,144
12,276
15,303
26.635
123,355
333.398
261.448
747.017
134.480
12.958
-5.1
-9.8
-3.8
+4.9
-13.4
-5.7
-12.2
+5.6
2.382
4,355
30,672
42,820
99.035
245,021
65.538
5.507
2.710
4,367
40.100
51.532
96,162
256.808
58,144
7,438
+ 13.8
+.3
+30.7
+20.3
-2.9
+4.8
-11.3
+35.1
1,855
316
11.563
49,635
29,174
371,464
16,743
1.898
1.668
299
12,560
65,440
30.816
375.095
18,979
2,209
-10.1
-5.4
+8.6
+31.8
+5.6
+ 1.0
+ 13.4
+ 16.4
126
78
2,910
7,605
8,856
97,913
7,815
578
163
85
4,077
11.554
10,232
121.274
9.523
1 .035
491.619
1.259,466
498,691
1,155,903
+1.4
-8.2
80,229
415.101
98,709
418,552
+23.0
63.369
419.279
79.967
427.099
+26.2
+ 1.9
10,719
115,162
15.879
142.064
125.881
618,476
45,416
143.314
6,933
110,916
206,492
154,402
33,499
74.632
709.380
12.715
48,556
1,090,180
401.097
610.770
431,317
26,989
2.048.657
14,675
44.124
54,204
729,616
53.012
179,046
6.140
103.444
207.323
178.228
31.229
68.012
851,471
12.343
63,368
816.927
307.630
456.165
422.745
16,263
2.285,333
8,549
70,235
63.664
+ 18.0
+ 16.7
+24.9
-11.4
-6.7
+.4
+ 15.4
-6.8
-8.9
+20.0
-2.9
+30.5
-25.1
-23.3
-25.3
-2.0
-39.7
+ 116
-41.7
+59.2
+17.5
84,350
3.738
6,378
609
29.379
85,738
28,705
560
11.985
56.470
655
1.489
11,555
76,024
15,572
69.696
2,079
186.666
2.452
44.124
54.204
115.061
4,003
13.161
486
28,751
101.026
43.916
480
12,263
105,877
1.255
2.420
7.945
60,733
11.367
95,757
2.774
243,489
1.292
70,235
63,664
+364
+7.1
+ 106.3
-20.2
-2.1
+ 17.8
+53.0
-14.3
+2.3
+87.5
+91.6
+62.5
-31.2
-20.1
-27.0
+37.4
+33.4
+30.4
-47.3
+59.2
+ 17.5
119.602
23.722
112.280
4,715
14.975
25,287
12.413
57.922
6,302
142,998
2,015
10.462
158.774
90.716
67.968
105.275
3.847
408.024
2.585
16,351
70,588
167.177
28.912
113.085
4,299
16,083
30,199
15.372
48,352
6.069
169,448
2,172
16.964
134,560
74,810
59.545
1 10.696
4.320
496.370
1.605
28.662
84.320
+39.8
+21.9
+.7
+7.4
+ 19.4
+23.8
-16.5
-3.7
+18.5
+7.8
+62.1
-15.3
-17.5
-12.4
+5.1
+ 12.3
+21.7
-37.9
+75.3
+ 19.5
25,617
1,834
2,717
339
3.157
7.958
1.925
697
855
7.036
34
804
1.900
29.794
2.821
17,953
399
49.186
584
16.351
70.588
41.285
2.287
4.586
254
3,679
11.514
3.766
454
1.020
14.112
69
1.337
1,348
24,586
2,199
28,990
639
67,918
321
28,662
84,320
+29.4
+9.0
+40.1
+51.9
+ 15.5
+23.9
+21.9
+79.1
+48.1
+23.4
+61.2
+24.7
+68.8
-25.1
+ 16.5
+447
+95.6
-34.9
+ 19.3
+100.6
+102.9
+66.3
-29.1
-17.5
-22.0
+61.5
+60.2
+38.1
-45.0
+75 3
+ 19.5
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
-Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
224
Table 36.— Total Arrest Trends, 1993-1994
(9,059 agencies; 1994 eslimaled population 197,160.000; 1993 estimated population 195,067.000]
Offense charged
Number of persons arrested
Total all ages
1994
Percent
change
Under 15 years of age
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1
Property crime2
Crime Index total3
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 family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) .
Suspicion (not included in totals) .
Curfew and loitering law violations
Runaways
10,730,748
11,341.585
2,076,949
11.0
8,860,284
9,264,636
19,027
30.540
146,507
418,212
319,061
1,162,120
162.696
15.145
17.922
28.616
143,972
431,645
307,256
1,185,868
161.681
15.945
-5.8
-6.3
-1.7
+3.2
-3.7
+2.0
-.6
+5.3
352
1,968
11.902
20.382
44,568
164,989
21,561
4,931
366
1,790
13,315
22,330
45,434
178,144
21.281
6.019
+4.0
-9.0
+11.9
+9.6
+ 1.9
+8.0
-1.3
+22.1
3,105
5.040
41.594
64,147
109,985
365,561
72,615
7,512
3,016
4,648
46,268
67.398
110.678
395.334
71.218
8,857
-2.9
-7.8
+ 11.2
+5 1
+ 6
+8.1
■1.9
+ 17.9
15.922
25.500
104,913
354,065
209.076
796.559
90.081
7,633
14,906
23.968
97,704
364.247
196.578
790,534
90.463
7,088
614.286
1,659,022
622.155
1,670.750
+1.3
+.7
34,604
236,049
37,801
250,878
+9.2
+6.3
113.886
555.673
121.330
586,087
+6.5
+5.5
500,400
1.103,349
500.825
1 .084.663
2,273.308
2.292.905
270.653
707.417
+5.7
1,603,749
1,585,488
894,495
82.336
306.395
10,371
125,805
241,655
208,868
86,503
83.053
919.317
14.301
81.152
1.060.581
380.069
561.636
553.487
24.151
2.601.650
10.115
79,322
142.293
956.155
88.365
317,582
11,149
129.008
248.092
206.907
85,783
78,379
1,086,398
15.510
85.383
1,014.859
403.193
539,951
565,305
20.832
2,942.114
8,346
101,816
151.899
+6.9
+7.3
+3.7
+7.5
+2.5
+2.7
-.9
-5.6
+ 18.2
+8.5
+5.2
-4.3
+6.1
-3.9
+2.1
-13.7
+ 13.1
-17.5
+28.4
+6.8
60.682
951
3,230
78
9,760
53.058
15,067
146
8,114
14,243
210
1,060
274
8,672
1,828
37,384
874
82.087
433
23,964
63,350
69,727
894
4,335
89
10.215
57.590
15.932
7.201
21.078
232
1.320
298
9,491
1.975
46,119
901
94.387
508
30,381
66.950
+ 14.9
-6.0
+34.2
+ 14. 1
+4.7
+8.5
+5.7
-20.5
-11.3
+48.0
+ 105
+24.5
+8.8
+9.4
+8.0
+23.4
+3.1
+15.0
+17.3
+26.8
+5.7
145.950
6.000
13.405
595
34,254
110,435
49.509
952
15.579
89.366
1.091
3.456
9,047
82.024
13,104
111,553
3.034
289,936
1,257
79,322
142.293
165.192
6.690
18.265
790
34.616
116.771
50.425
997
13,804
127,225
1,463
3,823
9,990
88,545
14,036
129,755
3.585
329.845
1.463
101.816
151.899
+ 13.2
+ 11.5
+36.3
+32.8
+ 1.1
+5.7
+ 1.9
+4.7
-11.4
+42.4
+34.1
+10.6
+10.4
+8.0
+7 1
+ 16.3
+18.2
+13.8
+ 16.4
+28.4
+6.8
748.545
76.336
292.990
9,776
91.551
131.220
159.359
85.551
67.474
829,951
13.210
77,696
1,051,534
298,045
548,532
441.934
21.117
2.311.714
8,858
790.963
81,675
299,317
10,359
94.392
131,321
156,482
84,786
64,575
959,173
14,047
81,560
1 .004,869
314,648
525.915
435.550
17,247
2,612.269
6.883
-6.4
-6.0
-69
+2.9
-6.0
-.8
+.4
-7.1
+.1
-1.7
+5.7
+7.0
+2.2
+6.0
+3.1
+ I
-1.8
-.9
-4.3
+ 15.6
+6.3
+5.0
-4.4
+5.6
-4 1
-1.4
-18.3
+ 13.0
-22.3
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
-'Includes arson.
225
Table 37.— Total Arrest Trends, Sex, 1993-1994
(9.059 agencies; 1994 estimated population 197.160,000; 1993 estimated population 195,067,000]
Offense charged
Percent
change
Under 18
Percent
change
Females
Total
1993
1994
Percent
change
Under 18
1993
1994
Percent
change
TOTAL
Murder and nonneghgent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1
Property crime2
Crime Index total3
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 family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . .
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
8,634.459
+5J
1,425,413
1,573,567
♦ 10.4
2.096.289
2,251,018
445,051
503,382
17,249
30.146
133.683
352.296
286,972
782.140
143.610
12.895
16.156
28,299
130.617
359.857
274.910
790.790
141,759
13.599
-6.3
-6.1
-2.3
+2.1
-4.2
+1.1
-1.3
+5.5
2.930
4,952
37.899
52.836
99.294
251.142
62.846
6,574
2,838
4,555
42.010
54.875
100,110
268,385
61,299
7,769
-3.1
-8.0
+10.8
+3.9
+.8
+69
-2.5
+ 18.2
1.778
394
12.824
65,916
32.089
379.980
19.086
2,250
1.766
317
13.355
71,788
32,346
395,078
19.922
2,346
-.7
-19.5
+4.1
+8.9
+.8
+4.0
+4.4
+4.3
175
88
3,695
11.311
10.691
114.419
9,769
938
178
93
4,258
12,523
10.568
126.949
9,919
1.088
533.374
1.225.617
534.929
1.221.058
+.3
-.4
98.617
419.856
104.278
437,563
+5.7
80.912
433.405
87,226
449.692
+7.8
+3.8
15.269
135,817
17.052
148.524
1.758.991
1.755.987
514.317
151.086
165,576
733.675
53,864
181.030
6.141
109,779
211,968
192,761
31,025
75.764
769,247
12,272
65.532
911.524
307,325
499.438
438,764
21,230
2.136.012
8.493
57,224
60,893
777,871
56,921
192.984
6.517
111.792
216.181
190.241
33,131
71.641
907.050
13.226
67,468
871,064
324,917
477,806
446.974
16,461
2,414,760
6.981
72.382
65.193
+6.0
+5.7
+6.6
+6.1
+ 1.8
+2.0
-1.3
+6.8
-5.4
+17.9
+7.8
+3.0
-4.4
+5.7
^t.3
+ 1.9
-22.5
+13.0
-17.8
+26.5
+7.1
108.000
3,895
9,747
352
30.454
99.697
45.568
429
14,171
79.442
1,041
2.240
7,737
58,698
10,958
86.142
2,530
227,722
1.036
57,224
60.893
121,580
4,254
13,514
508
30,703
104.738
46,363
510
12.741
112,327
1,390
2,450
8,583
63,124
11.746
99,481
2.913
257,226
1,166
72.382
65,193
+ 12.6
+9.2
+38.6
+44.3
+5.1
+ 1.7
-10.1
+41.4
+33.5
+9.4
+ 10.9
+7.5
+7.2
+ 15.5
+ 15!
+ 13.0
+ 12.5
+26.5
+7.1
160,820
28.472
125,365
4,230
16.026
29,687
16.107
55.478
7.289
150.070
2,029
15.620
149.057
72,744
62.198
1 14,723
2.921
465,638
1.622
22.098
81.400
178.284
31,444
124.598
4,632
17.216
31,911
16.666
52.652
6.738
179.348
2,284
17.915
143.795
78,276
62,145
118,331
4.371
527,354
1,365
29,434
86.706
+ 10.9
+ 10.4
-.6
+9.5
+7.4
+7.5
+3.5
-5.1
-7.6
+19.5
+12.6
+ 14.7
-3.5
+7.6
-.1
+3.1
+49.6
+13.3
-15.8
+33.2
+6.5
37.950
2,105
3.658
243
3,800
10.738
3,941
523
1,408
9.924
50
1,216
1.310
23.326
2,146
25.41 1
504
62.214
221
22.098
81,400
43,612
2,436
4,751
282
3.913
12.033
4.062
1,063
14,898
73
1.373
1.407
25,421
2,290
30.274
672
72,619
297
29,434
86.706
+ 1.7
+5.7
+ 15.2
+ 10.7
-1.2
+ 11.0
+ 1.5
+ 16.0
+11.7
+9.4
+9.6
+ 14.9
+ 15.7
+29.9
+16.0
+3.0
+ 12 1
+3.1
-6.9
-24.5
+50.1
+46.0
+ 129
+7.4
+9.0
+6.7
+ 19.1
+33.3
+ 16.7
+34.4
+33.2
+6.5
■Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
-Property crimes are offenses of burglary. larceny-theft, motor vehicle theft, and arson.
'Includes arson.
226
Table 38.— Total Arrests, Distribution by Age, 1994
(10.654 agencies; 1994 estimated population 207.624.000]
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
IS and
Age
Under
10
TOTAL
Percent distribution'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime3
Percent distribution1
Crime Index totalJ
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 family
and children
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct .
Vagrancy
All other offenses (except traffic I
Suspicion
Curfew and loitering law
violations
Runaways
See footnotes at end of table.
11,877,188
100.0
780,979
6.6
2.209,675
18.6
9,667413
81.4
37,130
J
176,289
1.5
567.560
4.8
428,967
3.6
489,089
4.1
510,640
4.3
520,831
4.4
505,122
4.3
459,948
3.9
18,497
29,791
146.979
449,716
319,926
1.236,311
166,260
16.764
379
1,863
13.543
23.190
47.481
185.811
21.867
6.289
3.102
4,859
47,094
70.030
115,681
412,349
73,265
9,268
15.395
24,932
99,885
379.686
204.245
823.962
92.995
7.496
103
245
1,043
3,135
9,145
206
1.153
31
442
2,478
5.261
11,833
51.765
2.592
2,041
345
1.318
10,820
16,886
32,513
124.901
19,069
3.095
535
892
10.008
13,219
22.232
76,459
17,986
1.224
912
993
11.753
15.993
23,413
77,418
18,087
964
1.276
1.111
11,790
17.628
22.555
72,661
15,325
791
1.418
1,217
10.653
17.857
20.223
62.806
11.698
531
1.418
1.158
8,701
17.030
15.889
49.702
8,718
488
1,215
1.156
6,808
16,115
11.818
39,440
6,516
341
644,983
100.0
1.739.261
100.0
38.975
6.0
261,448
15.0
125.085
19.4
610.563
35.1
519.898
80.6
1.128.698
64.9
1,394
13,639
8.212
1.3
68,231
3.9
29,369
4.6
179.578
10.3
24.654
3.8
117.901
6.8
29,651
4.6
119.882
6.9
31.805
4.9
111,332
6.4
31.145
4.8
95.258
5.5
28.307
4.4
74,797
4.3
25.294
3.9
58.115
3.3
1.384.244
100.0
300.423
12.6
735.648
30.9
1.648.596
69.1
15.033
.6
76.443
3.2
208.947
142.555
60
149.533
6.3
143.137
6.0
126,403
5.3
103.104
4.3
83.409
3.5
991.881
93.003
330,752
11.614
134.930
259.579
86.818
81.887
1.118.346
15.845
92.133
1,079.533
424,452
571,420
601,002
21.413
3.046.100
11.395
105,888
201.459
72.514
927
4.409
92
10,751
60,250
120
7,506
21.830
242
1,475
329
10.083
2.065
48.868
925
99.318
551
31,609
90.031
171.642
7,013
18.594
803
36.218
122.085
1,013
14.418
131.220
1.493
4.234
10,573
94,030
14,778
137,328
3,657
343,669
1.712
105.888
201.459
820.239
85.990
312.158
10.811
98.712
137,494
85,805
67,469
987,126
14.352
87.899
1.068.960
330.422
556.642
463.674
17.756
2.702.431
9.683
3.731
33
127
240
6.074
658
266
98
117
153
120
1.741
19
5,396
39
537
2.117
18,961
184
657
22
1.890
17.782
3.424
18
2.081
2.281
24
293
24
832
197
10.752
154
20,348
128
4.552
15,242
49.822
710
3.625
62
8.621
36.394
12.626
92
4.767
19,283
216
1.084
188
9,098
1,748
36.375
752
73,574
384
26,520
72.672
32.005
981
4.082
60
7,376
21.415
9.963
129
2.442
24,103
299
815
534
14.001
2.298
27,057
773
61.382
396
24.667
51.634
33.602
2.057
4,120
211
8.714
21.381
12.199
289
2,230
36.747
423
978
2,708
27.520
3,606
30,178
946
81,918
385
28,098
41.246
33,521
3.048
5,983
440
9,377
19,039
13,377
475
2,240
48.540
529
966
7.002
42.426
6.809
31.225
1.013
101.051
380
21,514
18.548
31,173
4,199
8.969
574
9,690
13,965
1,317
2.205
60.142
531
2.009
15.769
60,029
12,831
30.639
1.072
124,694
407
31.652
4.512
11.896
631
8.078
11.017
1.900
2.183
57.786
537
2.207
22,312
59.868
14,090
27,148
860
132.388
399
30.938
4,308
13.192
599
6,440
8,347
2.275
2,058
51.330
533
2,383
27,223
47.987
14,841
24,627
677
128.076
344
433,449
3.6
1.097
1.065
5,946
16,485
10,234
34,473
5.510
283
24,593
3.8
50.500
2.9
75.093
3.1
33,605
4.174
13.559
556
5.754
7.804
2.727
2,127
48.063
466
2.731
38,711
14,628
19.260
26.244
580
126,545
360
227
Table 38.— Total Arrests, Distribution by Age, 1994 — Continued
Offense charged
Age
35.39 40-44 45-49 50-54
65 and
over
TOTAL
Percent distribution1 .
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent cnme;
Percent distribution1
Property crime3
Percent distribution1.
Crime Index total4 . .
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 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
419,027
3.5
938
990
5.398
16.315
9.497
31.926
4.989
263
23.641
3.7
46.675
2.7
70,316
2.9
35,257
4.115
14.146
553
5.158
6.898
2.953
2,244
45,564
389
2.916
40.866
11.150
18.959
23.791
591
123.337
375
420.909
3.5
406,399
3.4
1,761,357
14.8
1,713.145
14.4
1,298,615
10.9
796.890
6.7
433.908
3.7
227,419
1.9
120.448
1.0
70,677
.6
803
1.107
5,130
16,741
9.258
31.928
4,642
264
706
1.001
4.740
16.195
8.385
30,636
4.217
245
2.538
4,674
19.712
72,265
38,079
140.027
17.153
1.178
1.847
4.617
15.823
70,262
35,507
141.593
13.812
1.268
1,342
3,382
9,621
52.262
24,140
109,829
8,348
1,069
856
2.023
4,432
31.176
12,426
68,611
4.133
665
533
1.120
1.745
17.003
5.180
36.125
1.848
407
271
621
658
8.763
2.017
18,320
761
238
164
334
255
4,920
805
10.259
305
99
113
216
118
2,862
355
6.854
132
80
23.781
3.7
46.092
2.7
22,642
3.5
43,483
2.5
99,189
15.4
196,437
11.3
92.549
143
192.180
11.0
66.607
10 3
143.386
38,487
6.0
85,835
4.9
20,401
3.2
43,560
2.5
10,313
1.6
21.336
1.2
5.673
.9
11.468
.7
3,309
.5
7,421
.4
69.873
2.9
66,125
2.8
295.626
12.4
284,729
11.9
124.322
5.2
63,961
2.7
31,649
1.3
17,141
.7
10.730
.5
36.524
4,088
14.739
499
4,833
6.664
3.501
2,227
45,455
433
3.256
44.180
9.477
18.928
23,202
647
123,304
429
36,465
4.086
14.606
519
4,503
6.200
7.827
3.876
2,167
43,839
389
3,465
43,818
8.012
18,599
20,985
602
119,931
385
163.495
17,829
63,001
2,042
18.057
24.811
20.017
11.056
190.382
1.770
16.778
195.657
29.069
87.057
81.732
2.930
510.184
1.829
160.971
16.234
57.461
1.716
14.875
21.565
20.712
12.191
183.565
1.880
19.310
201.508
27.355
101.426
76,119
3,265
484.602
1,919
117.939
11.234
43,331
1.295
10.417
14.552
13.527
9.903
133.141
1.775
15.461
161.847
22.918
90.333
56.300
2.747
365.026
1.551
67.879
6.046
27,414
799
5.761
7.794
6.851
6,695
73.403
1,563
8,913
111. Ill
16.126
65,154
33,277
1,739
221,462
905
35,759
2.856
15.181
513
2.708
3.853
2.162
4,483
32.406
1.191
4.419
70.710
9.964
40.160
18.142
1.009
117.530
438
17.997
1.226
7.271
260
1.237
1.872
1.429
2.853
12.773
970
1.980
41,984
6.035
24.643
9.664
541
59.593
160
9,173
540
3,425
123
616
917
1.735
786
1,849
5,170
726
989
23,910
3,657
13,776
5,078
227
30,525
85
5,401
258
1.900
62
282
481
460
1.333
2,270
601
534
14,628
2.112
8.502
3.083
141
16.798
54
79J69
.7
136
251
145
3.435
432
11,433
213
77
3.967
.6
12.155
.7
16,122
.7
6.011
285
2.067
70
303
754
1.273
512
1.895
1.837
598
548
14,726
2.035
8.083
3,643
128
18,436
43
'Because of rounding, the percentages may not add to total.
:Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
■^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson
4lncludes arson.
228
Table 39. — Male Arrests, Distribution by Age, 1994
[10.654 agencies. 1994 estimated population 207.624.000]
Offense charged
Total
all ages
Ages
under
15
Ages
under
Ages
18 and
Age
Under
10
10-12
TOTAL
Percent distribution'
Murder and nonnegligent
manslaughter
Forcihle rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime1
Percent distribution1
Crime Index total4
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 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
See footnotes at end of table
9,504,762
100.0
16,658
29,460
133.388
375,020
286,502
824.980
145,701
14.304
554.526
100 0
1.271,487
100.0
1.826.013
100.0
806.770
59.797
200.513
6,831
116,873
226,274
33,505
74.991
934,186
13,505
73.000
926,151
341,177
505.149
475,167
16.958
2,499.796
9,601
75,415
86.858
559.942
5.9
1.660,549
17.5
7,844,213
82.5
31,057
134,152
1.4
394,733
4.2
310,087
3.3
376,233
4.0
414,287
4.4
435.568
4.6
422.848
4.4
382,477
4.0
343
1.803
11.947
18,215
42.161
127,522
17,866
5,506
2,917
4,765
42,779
57,012
104,663
280,536
63,001
8,125
13.741
24,695
90,609
318.008
181,839
544,444
82,700
6,179
99
235
928
2,783
7,354
187
1.041
26
428
2,232
4,324
10,548
36,991
2.179
1.824
315
1.276
9.480
12,963
28,830
83.177
15,500
2,641
510
884
8.991
10.462
20.113
50,636
15,323
1.065
860
985
10.826
13,244
21,505
52,385
15,988
857
1,204
1 .093
11,015
15,091
20,884
49,993
13,824
697
1,367
1,205
10,023
15,298
18,757
43,838
10,808
473
1.332
1.146
8,160
14,660
14,653
34,125
8,024
443
1,149
1.146
6.357
13.742
10,767
25,935
5,957
308
32,308
5.8
193.055
15.2
107.473
19.4
456,325
35.9
447.053
80.6
815.162
64.1
1.264
11,365
.9
7,010
1.3
51,542
4 1
24,034
4.3
130,148
10.2
20.847
3.8
87,137
6.9
25.915
4.7
90,735
7.1
28.403
5.1
85.398
6.7
27.893
5.0
73,876
5.8
25.298
4.6
57.245
4.5
22,394
4.0
42.967
3.4
225,363
12.3
563,798
30.9
1.262,215
69.1
!,629
.7
58.552
3.2
154.182
8.4
107,984
5.9
116.650
6.4
113.801
6.2
101.769
5.6
82.543
4.5
65,361
3.6
52,150
570
3,069
64
9,358
53,862
54
6,890
17,944
229
862
253
5.702
1,449
35,510
693
72,689
419
21,041
36.996
126.438
4.454
13.7:;
518
32,131
109,543
517
13.315
115,792
1,420
2,724
9,072
67,025
12.354
105.136
2.974
267.979
1.383
75.415
86.858
680,332
55.343
186.791
6.313
84.742
116,731
148.251
32.988
61,676
818.394
12,085
70.276
917.079
274,152
492,795
370.031
13.984
2,231.817
8.218
3,198
211
5,597
587
223
54
101
111
102
1.483
19
4.153
30
419
1,475
14.451
125
446
16
1.673
16,014
3.037
13
1,896
1,802
21
179
17
468
136
8,219
128
15,813
104
3.186
7.856
34,501
422
2,555
44
7,474
32,251
22,694
602
2.961
43
6.477
19.147
4.407
15.919
206
629
135
5,123
1.211
25.808
546
52.723
285
17,436
27,665
2.251
21.031
284
511
432
9.102
1,805
20.236
630
45.969
320
17.116
21.351
25,349
1.347
3.171
126
7.779
19.331
11.422
155
2.083
32,895
399
650
2,278
19,730
3,032
23.782
787
65.041
322
20,854
19,050
26,245
1,935
4,521
285
8.517
17,203
255
2.091
43,922
508
701
6,109
32.491
6,068
25,608
864
84,280
322
16.404
9.461
24.992
2,762
5,996
322
8.751
12,665
13,501
511
2.005
54,271
501
1,572
13,832
47,307
11.605
25,518
918
106,414
356
25.648
3.062
7,648
315
7,255
9,796
669
1,934
52.016
506
1.741
19,667
48,214
12,856
22.638
734
113,288
351
25.241
2.845
8,000
315
5.729
7,348
884
1,838
45.678
503
1.886
23,999
39,215
13,582
20,333
578
109,026
309
229
Table 39. — Male Arrests, Distribution by Age, 1994 — Continued
Age
Offense charged
22
23
24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
345,479
3.6
343,932
3.6
329,735
3.5
1,403.151
14.8
1J49.373
14.2
1,034,934
10.9
651,774
6.9
361,627
3.8
192.941
2.0
103,647
60,762
.6
65,895
.7
Murder and nonnegligent
857
980
4,976
13,749
8.506
20,376
4,482
226
731
1,097
4,690
14.091
8,316
20.472
4,158
236
635
994
4,302
13.495
7,383
19,476
3.727
210
2,196
4,624
17.608
59,895
33,425
89,640
14,875
954
1,583
4,570
13,924
57.460
30.983
93.171
11,795
980
1.106
3.345
8.438
43.187
21.185
74.244
7.251
839
716
2.007
3,917
26.248
10.982
47.677
3.660
538
457
1.105
1,585
14,612
4.534
24.302
1.653
317
230
616
604
7,591
1,739
11.731
683
191
145
334
227
4,355
693
6.383
283
77
98
216
106
2,555
303
4,124
122
72
124
250
136
3,092
372
6,524
201
69
20,562
3.7
33,590
2.6
20,609
3.7
33,182
2.6
19,426
3.5
30,796
2.4
84.323
15.2
138,894
10.9
77.537
14.0
136.929
10.8
56,076
10.1
103.519
8.1
32,888
5.9
62.857
4.9
17.759
3.2
30,806
2.4
9.041
1.6
14,344
1.1
5.061
.9
7.436
,6
2,975
.5
4,621
.4
3,602
.6
7.166
Percent distribution1
.6
54,152
3.0
53.791
2.9
50,222
2.8
223.217
12.2
214,466
11.7
159,595
8.7
95.745
5.2
48,565
2.7
23.385
1.3
12.497
.7
7,596
.4
10.768
.6
29.080
2.685
8,335
316
4.516
6.005
8,844
1,133
1.957
39,603
356
2,296
35.698
9,644
17,127
19,583
445
103,375
329
30,133
2.610
8,436
283
4.185
5,689
8,047
1.307
1,973
38,794
374
2.581
38,434
8.170
16.939
18.684
477
102.657
368
30,209
2.589
8,505
306
3,861
5.219
7.239
1.412
1,892
36.682
336
2,806
38,125
6.938
16,652
16.828
420
99,167
327
134.877
11,112
36,575
1,186
15,203
20.445
25,604
6,678
9.743
153,758
1.475
13,409
168,022
24,740
76.202
63.154
2.024
414.245
1.482
133.026
10.138
33,765
1.050
12.265
17,720
19,321
6,602
10.968
143.741
1.525
15.261
168.738
22.910
86.798
57,852
2,354
389,301
1,572
98.196
7,316
26.052
776
8.573
11.956
13.563
4.854
9.111
105.186
1.399
12.129
135.702
19.347
78.178
43.711
2.197
295.774
1.319
57.668
3.939
16.588
494
4.854
6.505
8.636
3.217
6.308
59,905
1,246
7.392
94.591
13.964
57.690
26.719
1.521
184.015
777
30,562
1,946
9.301
315
2.306
3.227
5,088
1.913
4.295
27.258
971
3.697
61,122
8,748
36,303
15.022
894
99.701
393
15,467
859
4,665
176
1.089
1,591
2.982
1.154
2,788
11.015
797
1.690
37.072
5.396
22.780
8.140
504
51.246
145
7.868
391
2,260
83
546
789
1,597
703
1,818
4,587
616
815
21,522
3,326
1 2.940
4.362
211
26.640
76
4,665
208
1.270
44
258
405
973
429
1,321
1,997
528
452
13,320
1.928
8,006
2.617
129
14.567
49
5.135
225
1.317
51
Stolen property: buying, receiving,
possessing
262
642
Weapons; carrying, possessing.
1.181
Prostitution and commercialized
489
Sex offenses (except forcible rape
1,863
1,618
530
Offenses against family and
418
13,382
1,804
7.591
3.072
112
15,400
35
Curfew and loitering law
'Because of rounding, the percentages may not add to total.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, and arson.
4Includes arson.
230
Table 40. — Female Arrests, Distribution by Age, 1994
(10.654 agencies; 1994 estimated population 207,624,000]
Offense charged
Total
all ages
Ages
under
15
Ages
under
18
Ages
18 and
Age
Under
10
13-14
TOTAL
Percent distribution1
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime-1
Percent distribution1
Crime Index total4
Percent distribution' .......
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 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
See footnotes at end of table.
2372,426
100.0
1,839
331
13,591
74,696
33,424
411,331
20,559
2,460
90,457
100.0
467.774
100.0
558,231
100.0
185.111
33,206
130,239
4,783
18,057
33,305
53,313
6,896
184.160
2,340
19,133
153,382
83,275
66,271
125,835
4,455
546,304
1,794
30,473
114,601
221,037
9J
549,126
23.1
1,823.300
76.9
6,073
.3
42,137
1.8
172,827
7.3
118.880
5.0
112.856
4.8
96.353
4.1
85.263
3.6
82.274
3.5
77,471
3.3
36
60
1.596
4,975
5.320
58,289
4.001
783
185
94
4,315
13,018
11,018
131,813
10,264
1,143
1,654
237
9,276
61,678
22,406
279,518
10,295
1.317
4
10
115
352
1,791
19
112
5
14
246
937
1.285
14,774
413
217
30
42
1,340
3,923
3,683
41,724
3,569
454
25
8
1,017
2,757
2.119
25,823
2,663
159
52
8
927
2.749
1,908
25,033
2,099
107
72
18
775
2.537
1.671
22,668
1,501
94
51
12
630
2,559
1,466
18,968
890
58
86
12
541
2,370
1,236
15,577
694
45
66
10
451
2,373
1,051
13.505
559
33
6,667
7.4
68,393
14.6
17.612
19.5
154.238
33.0
72,845
805
313,536
67.0
130
.1
2,274
.5
1,202
1.3
16,689
3.6
5,335
5.9
49,430
10.6
3,807
4.2
30,764
6.6
3,736
4.1
29,147
6.2
3,402
3.8
25,934
5.5
3,252
3.6
21,382
4.6
3,009
3.3
17,552
3.8
2.900
3.2
15.148
3.2
75.060
13.4
171,850
30.8
386,381
69.2
2.404
.4
17,891
3.2
54.765
9.8
34,571
6.2
32.883
5.9
29.336
5.3
24,634
4.4
20.561
3.7
18,048
3.2
20,364
357
1.340
1 .393
6.388
66
616
3,886
13
613
76
4,381
616
13,358
232
26,629
132
10,568
53,035
45.204
2,559
4,872
285
4,087
12,542
496
1.103
15.428
73
1,510
1.501
27,005
2,424
32.192
683
75,690
329
30,473
114.601
139,907
30.647
125,367
4,498
13.970
20.763
52.817
5.793
168.732
2,267
17,623
151,881
56,270
63,847
93,643
3,772
470.614
1.465
533
10
59
4
29
477
44
16
42
18
258
1.243
9
118
642
4,510
59
211
6
217
1,768
387
185
479
3
114
7
364
61
2,533
26
4,535
24
1,366
7.386
15.321
288
1.070
18
1.147
4.143
1,449
58
360
3,364
10
455
53
3.975
537
10,567
206
20.851
99
9,084
45.007
9,311
379
1,121
17
899
2,268
875
76
191
3,072
15
304
102
4,899
493
6.821
143
15.413
76
7.551
30,283
8,253
710
949
85
935
2,050
134
147
3.852
24
328
430
7,790
574
6.396
159
16,877
63
7.244
22,196
7,276
1,113
1,462
155
860
1,836
681
220
149
4.618
21
265
893
9,935
741
5,617
149
16.771
58
5.110
9,087
6,181
1,437
2,973
252
939
1.300
806
200
5,871
30
437
1,937
12,722
1,226
5,121
154
18,280
51
6,004
1,450
4,248
316
823
1,221
1,231
249
5,770
31
466
2,645
11,654
1,234
4,510
126
19,100
48
5,697
1.463
5.192
284
711
999
1,391
220
5,652
30
497
3,224
8,772
1,259
4,294
99
19,050
35
73,379
3.1
82
5
390
2,507
993
12.047
489
37
2,984
3.3
13,566
2.9
16,550
3.0
6.040
1,518
5.481
275
665
1,075
1.694
265
5.778
44
600
4.858
2,127
1,714
4,446
114
19.544
30
231
Table 40. — Female Arrests, Distribution by Age, 1994 — Continued
Offense charged
Age
30-34
35-39
40-44
45^19
50-54
55-59
60-64
65 and
over
TOTAL
Percent distribution1
Murder and nonnegligenl
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime3
Percent distribution1
Crime Index total4 . .
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 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
73,548
3.1
81
10
422
2.566
991
11.550
507
37
3,079
3.4
13,085
2.8
16,164
2.9
6.177
1.430
5,811
237
642
893
1.820
287
5.961
33
620
5.168
1.506
1.832
4,208
146
19.962
46
76,977
3.2
76,664
3.2
358,206
15.1
363,772
15.3
263.681
11.1
145,116
6.1
72,281
3.0
34,478
1.5
16,801
.7
72
10
440
2,650
942
11,456
484
28
71
7
438
2.700
1.002
11.160
490
35
342
50
2,104
12,370
4,654
50,387
2,278
224
264
47
1.899
12.802
4.524
48.422
2,017
288
236
37
1,183
9,075
2,955
35.585
1.097
230
140
16
515
4,928
1,444
20.934
473
127
76
15
160
2,391
646
11,823
195
90
41
5
54
1,172
278
6,589
78
47
19
28
565
112
3.876
22
22
3,172
3.5
12,910
2.8
3.216
3.6
12.687
2.7
14,866
16.4
57.543
12.3
15,012
166
55.251
11.8
10,531
11.6
39,867
8.5
5.599
6.2
22.978
4.9
2,642
2.9
12.754
27
1.272
1.4
6.992
1.5
612
.7
4.032
.9
16,082
2.9
15,903
2.8
72.409
13.0
70.263
12.6
50.398
9.0
28.577
5.1
15,396
8.264
1.5
4,644
6,391
1.478
6.303
216
648
975
2,194
254
6.661
59
675
5.746
1,307
1,989
4,518
170
20.647
61
6.256
1.497
6.101
213
642
981
588
2.464
275
7.157
53
659
5,693
1,074
1,947
4,157
182
20.764
58
28.618
6.717
26.426
856
2.854
4,366
2,431
13.339
1.313
36.624
295
3.369
27,635
4.329
10.855
18.578
906
95.939
347
27.945
6,096
23,696
666
2,610
3,845
2,421
14.110
1,223
39.824
355
4.049
32.770
4,445
14.628
18,267
911
95.301
347
19.743
3.918
17.279
519
1.844
2.596
1.762
8.673
792
27,955
376
3.332
26.145
3.571
12.155
12.589
550
69.252
232
10.211
2.107
10.826
305
907
1.289
1.040
3.634
387
13.498
317
1,521
16.520
2,162
7.464
6.558
218
37.447
128
5.197
910
5.880
198
402
626
5.148
220
722
9.588
1.216
3.857
3,120
115
17.829
45
2,530
367
2.606
84
148
281
275
65
1,758
173
290
4.912
639
1.863
1.524
37
8.347
15
1.305
149
1.165
40
70
128
31
583
110
174
2.388
331
836
716
16
3.885
9
9,915
.4
15
12
307
52
2.730
10
334
.4
2.800
.6
3.134
.6
736
50
630
18
24
76
12
273
73
1.308
184
496
466
12
2.231
5
13,474
.6
12
1
9
343
60
4.909
12
365
.4
4,989
1.1
5,354
1.0
876
60
750
19
41
112
92
32
219
68
130
1.344
231
492
571
16
3.036
8
'Because of rounding, the percentages may not add to total.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
3Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
-■Includes arson.
232
Table 41. — Total Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1994
[10,654 agencies; 1994 estimated population 207,624,000]
Offense charged
Total
all ages
Number of persons arrested
Under 15
Under 18
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL .
Murder and nonnegligent manslaughter -
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1 .
Property crime2
Crime Index total3.
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 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
11,877,188
18,497
29,791
146,979
449,716
319,926
1,236,311
166,260
16,764
644,983
1.739,261
2,384.244
991,881
93.003
330,752
11.614
134,930
259,579
213.494
86.818
81.887
1,118.346
15,845
92.133
1.079,533
424,452
571.420
601.002
21,413
3,046,100
1 1 .395
105.888
201,459
780,979
2,209,675
3,695,576
5,375,360
379
1.863
13,543
23,190
47,481
185,811
21,867
6,289
3,102
4,859
47,094
70,030
115,681
412.349
73,265
9,268
7,153
8,390
73,256
121.032
163.611
564,297
100,197
10.628
10,697
12,553
94,470
186,768
200,985
693,260
119.555
11.683
2.0
6.3
9.2
5.2
14.8
15.0
13.2
37.5
38,975
261,448
125,085
610.563
209,831
838,733
304,488
1,025.483
6.0
15.0
1,048,564
1,329,971
72,514
927
4,409
92
10.751
60.250
16.661
120
7,506
21.830
242
1.475
329
10.083
2.065
48.868
925
99.318
551
31.609
90,031
171.642
7.013
18,594
803
36,218
122.085
52,200
1,013
14,418
131.220
1.493
4,234
10,573
94,030
14,778
137.328
3.657
343,669
1,712
105.888
201.459
265.405
20,032
52,651
2,607
60,426
155,414
89.328
6,505
20,864
300.478
3,094
10.833
75,877
261,914
56.540
219,742
6.266
728,827
2,862
105.888
201.459
407,256
36.495
109,701
4,734
80.674
182,980
125.716
19.562
29,629
483.399
4,771
23.201
243,452
305,181
132.286
313.964
8.686
1,221.944
4,411
105,888
201,459
7 3
1.0
1.3
.8
8.0
23.2
7.8
1
9.2
2.0
1.5
1.6
2.4
.4
8.1
4.3
3.3
4.8
29.9
44.7
16.8
16.3
32.0
156
36.2
33.4
44 1
55.3
19.4
35.1
30.9
17.3
7.5
5.6
69
26.8
47.0
24.5
12
17.6
11.7
9.4
4.6
1.0
22.2
2.6
22.8
17.1
11.3
15.0
100.0
100.0
31.1
38.7
28.2
49.8
26.9
51.1
45.6
60.3
63.4
32.5
48.2
26.8
21.5
15.9
22.4
44.8
59.9
41.8
7.5
25.5
26.9
195
11.8
7.0
61.7
9.9
36.6
29.3
23.9
25.1
100.0
100.0
45J
57.8
42.1
64.3
41.5
62.8
56.1
71.9
69.7
47.2
59.0
41.1
39.2
33.2
40.8
59.8
70.5
58.9
22.5
36.2
43.2
30.1
25.2
22.6
71.9
23.2
52.2
40.6
40.1
38.7
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
:Properly crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
4Less than one-tenth of 1 percent.
233
Table 42.— Total Arrests, Distribution by Sex, 1994
[10,654 agencies; 1994 estimated population 207,624.000]
Offense charged
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3
Property crime4
Crime Index total5
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 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
Numbe
r ol persons ai
rested
Percent
male
Percent
female
fer
:ent dislnbutic
n'
Total
Male
Female
Total
Male
Female
11,877,18*
9,504,762
2,372,426
80.0
20.0
100.0
100.0
100.0
18.497
16,658
1,839
90.1
9.9
2
2
.1
29,791
29,460
331
98.9
11
.3
3
2
146.979
133,388
13,591
90.8
9.2
1.2
1.4
.6
449,716
375.020
74,696
83.4
16.6
3.8
3 9
3.1
319.926
286.502
33,424
89.6
104
27
3.0
1.4
1.236.311
824,980
411,331
667
33.3
10.4
8.7
17.3
166.260
145.701
20,559
87.6
12.4
1.4
15
.9
16,764
14.304
2,460
85.3
14.7
.1
2
.1
644,983
554,526
90,457
86.0
14.0
5.4
5.8
3.8
1,739,261
1,271,487
467,774
73.1
26.9
146
13.4
19.7
2,384,244
1,826.013
558,231
76.6
23.4
20.1
19.2
23.5
991,881
806.770
185.111
813
18.7
8.4
85
7.8
93.003
59.797
33.206
64.3
35.7
.8
.6
1.4
330,752
200.513
130,239
60.6
39.4
2.8
2.1
5.5
11,614
6.831
4.783
58.8
41.2
1
.1
.2
134,930
116,873
18,057
86.6
13.4
1 1
1.2
.8
259.579
226,274
33.305
87.2
12.8
2.2
2.4
1.4
213.494
196,232
17.262
91.9
8.1
1.8
2.1
.7
86.818
33,505
53.313
38.6
61 4
.7
.4
2.2
81.887
74,991
6.896
91 6
8.4
7
.8
.3
1.118.346
934,186
184,160
83.5
16.5
9.4
9.8
7.8
15.845
13,505
2,340
85.2
14.8
1
.1
.1
92.133
73,000
19,133
79.2
20.8
.8
.8
.8
1.079.533
926,151
153.382
85.8
14.2
9 1
9,7
6.5
424.452
341,177
83,275
80.4
196
3.6
3.6
3.5
571.420
505.149
66.271
88.4
116
4.8
5.3
2.8
601,002
475.167
125.835
79.1
20.9
5 I
5.0
5.3
21,413
16.958
4,455
79.2
20.8
.2
.2
.2
3,046.100
2.499.796
546.304
82.1
17.9
25.6
26.3
23.0
11,395
9.601
1.794
84.3
15.7
1
1
.1
105.888
75.415
30.473
71.2
28.8
9
.8
1.3
201,459
86.858
114,601
43.1
56.9
1.7
.9
4.8
'Because of rounding, the percentages may not add to total
2Less than one-tenth of 1 percent.
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
••Property crimes are offenses of burglary, larceny -theft, motor vehicle theft, and arson.
includes arson.
234
Table 43. — Total Arrests, Distribution by Race, 1994
[10.548 agencies; 1994 estimated population 207,569.000)
Offense charged
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
White
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime-
Property crime3
Crime Index total4
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 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
See footnotes at the end of table.
1.846.833
18.475
29,759
146.793
449.179
319.466
1.235.016
166.119
16,727
644,206
1,737,328
989,654
92,946
330,305
11,609
134.694
259.060
213,079
86,733
81,750
1.117,323
15.843
91.530
1,063.491
423,624
571,004
600.345
21.407
3.042.887
11.371
105,781
200,863
7.894.414
3.705,713
126,503
120,203
7,705
16,683
55.055
264,466
215.363
796.212
95.216
12.555
10,420
12.419
89.232
176.062
97.867
407.231
66.544
3,853
126
327
737
4.063
2,844
12.803
1.562
168
224
330
1.769
4.588
3.392
18.770
2.797
151
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
41.7
56.1
37.5
58.9
67.4
64.5
57.3
75.1
343.909
1.119,346
288.133
575.495
5.253
17,377
6,911
25,110
100.0
100.0
53.4
64.4
1.463.255
863.628
22.630
32.021
625.689
59.127
205.362
7.600
77.709
193.538
121,834
53,819
62.300
677.025
7.845
58,427
932.802
352.683
460,300
390,326
12,298
1,891.312
5,643
80,319
155.201
341.941
32,001
120.640
3,816
54,601
59.083
87.531
30,860
17,637
429,479
7,247
30.242
107.347
57.575
96.200
199.094
8.635
1.092.034
5.635
22.177
38.310
11,991
531
1,563
46
925
2.950
1.304
498
897
4,623
44
1,183
14,655
10,328
12.632
7.552
374
28.838
63
1,203
1.673
10.033
1,287
2,740
147
1,459
3.489
2.410
1.556
916
6,196
707
1.678
8.687
3.038
1.872
3.373
100
30.703
30
2.082
5.679
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
100.0
100.0
100.0
100.0
100.0
100.0
100.0
63.2
63.6
62.2
65.5
57.7
74.7
57.2
62.1
76.2
60.6
49.5
63.8
87.7
83.3
806
65.0
57.4
62.2
49.6
75.9
77.3
31J
56.4
41.7
60.8
39.2
30.6
33.0
40.1
23.0
44.7
33.1
34.6
34.4
36.5
32.9
40.5
22.8
41.1
35.6
21.6
38.4
45.7
33.0
10.1
13.6
16.8
33.2
40.3
35.9
49.6
21.0
19.1
1.1
.4
.3
1.3
1.4
2.4
2.2
1.3
1.7
.9
.6
1.1
1.0
1.2
II
1.2
1.0
II
1.5
1.7
.9
1.1
1.4
1.3
1.0
1.4
.8
13
II
1.3
II
I.I
6
4.5
1.8
.7
.3
6
.5
1.0
.3
2.0
2.8
235
Table 43. — Total Arrests, Distribution by Race, 1994 — Continued
Arrests under 18
Percent distribution1
Offense charged
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
2.205,393
1,512,265
631.816
23.246
38,066
100.0
68.6
28.6
1.1
1.7
Murder and nonnegligenl manslaughter
3.100
4,853
46.995
69.914
115.490
411.789
73.197
9.244
1,194
2,681
17.145
38.559
84,912
286.924
41.104
7,387
1,842
2,067
28.903
29,816
27,668
111.068
29,881
1.666
16
60
219
634
1.330
5.025
870
98
48
45
728
905
1.580
8,772
1,342
93
100.0
100.0
100.0
100.0
100,0
100.0
100.0
100.0
38.5
55.2
36,5
55,2
73.5
69.7
56.2
79,9
59 4
42.6
61,5
42.6
24,0
27.0
40.8
18.0
,5
12
.5
.9
12
1.2
1.2
11
1.5
.9
1.5
1.3
1.4
2.1
1.8
1.0
124.862
609,720
59,579
420.327
62.628
170.283
929
7,323
1,726
11.787
100.0
100.0
47,7
68,9
50.2
27.9
.7
1.2
1.4
1.9
734.582
479.906
232.91 1
8,252
13.513
100.0
65,3
31.7
1.1
1.8
170,836
7,006
18.594
803
36,182
121.798
52.165
1,013
14,361
131.078
1.493
4.213
10.469
93.846
14.773
137.265
3,657
342.913
1,702
105.781
200,863
105,278
5.572
9,855
549
21,196
97.790
32.198
662
10,162
78.818
350
2,930
9,568
85,561
12.840
88.612
2.605
231.139
1,154
80,319
155,201
61,208
1.267
8.178
243
14.040
20.700
18.745
321
3.903
50.587
1.111
1.125
652
5.155
1.609
46,400
999
101,654
521
22.177
38,310
1,842
66
98
3
359
1.236
377
11
133
661
3
43
175
2.355
266
1.206
13
3,249
it
1.203
1.673
2.508
101
463
8
587
2.072
845
19
163
1.012
29
115
74
775
58
1.047
40
6.871
5
2,082
5.679
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
100.0
100.0
100.0
100.0
100.0
100.0
100,0
61.6
79.5
53.0
68.4
58,6
80.3
61.7
65 4
70.8
60 1
23.4
695
91.4
91.2
86.9
64.6
71.2
67 4
678
75.9
77.3
35.8
18.1
44.0
30,3
38.8
170
35.9
31.7
27.2
38.6
74.4
26,7
6,2
5.5
10.9
33.8
27.3
29.6
30.6
21.0
19 1
II
9
.5
,4
1.0
1,0
.7
1.1
.9
.5
2
1.0
1.7
2.5
1.8
.9
.4
,9
1.3
1.1
.8
1.5
1.4
2.5
Embezzlement
Stolen property; buying, receiving.
1.0
1.6
1.7
16
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
19
1.1
,8
1,9
Offenses against family and children
Driving under the influence
2.7
.7
.8
All other offenses (except traffic)
Suspicion
.4
.8
1.1
2.0
.3
2.0
Runaways
2.8
See footnotes at the end of table
236
Table 43. — Total Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests 1 8 and over
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
Total
Black
American
Indian
Alaskan
Native
Pacific
Islander
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 . . .
Property crime3 . .
Crime Index total4
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen properly; 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 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
9,541,440
15.375
24,906
99,798
379,265
203,976
823.227
92,922
7.483
519,344
1.127,608
818.818
85.940
311,711
10,806
98.512
137.262
160,914
85.720
67.389
986,245
14,350
87.317
1,053.022
329.778
556.231
463,080
17,750
2.699.974
9.669
6.382,149
3.073.897
82,137
6,511
14,002
37.910
225,907
130.451
509.288
54. 1 1 2
5,168
8.578
10.352
60.329
146.246
70,199
296.163
36.663
2,187
110
267
518
3,429
1,514
7.778
692
70
176
285
1.041
3,683
1,812
9.998
1,455
58
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
42.3
56.2
380
59 6
64.0
61.9
58.2
69 1
284.330
699.019
225.505
405.212
4,324
10,054
5.185
13,323
100.0
100.0
54.7
62.0
520.411
53.555
195.507
7.051
56,513
95,748
89.636
53.157
52,138
598,207
7.495
55.497
923,234
267.122
447,460
301.714
9.693
1.660.173
4.489
280.733
30,734
112,462
3.573
40.561
38.383
68.786
30.539
13.734
378.892
6.136
29,117
106.695
52,420
94,591
152.694
7,636
990.380
5.114
10.149
465
1,465
43
566
1,714
927
487
764
3,962
41
1.140
14,480
7,973
12.366
6.346
361
25.589
41
7,525
1.186
2.277
139
872
1,417
1,565
1,537
753
5.184
678
1,563
8,613
2.263
1.814
2,326
60
23,832
25
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
100.0
100.0
100.0
100.0
100.0
63.6
62.3
62.7
65.3
57.4
69.8
55.7
62.0
77.4
607
52 :
63.6
87.7
81.0
80.4
65.2
54.6
61.5
46.4
55.8
41.6
60.5
38.6
34.4
36.0
39.5
29.2
43.4
35.9
34.3
35.8
36.1
33.1
41.2
28.0
42.7
35.6
20.4
38.4
42.8
33.3
10.1
159
17.0
33.0
430
36.7
52.9
1.1
1.1
1.0
1.0
.9
1.2
1.6
.9
1.4
.7
1.3
.9
1.0
1.0
1.1
.5
4.7
1.8
'Because of rounding, the percentages may not add to total.
:Violenl crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
••Includes arson.
237
Table 44.— City Arrest Trends, 1993-1994
[6.455 agencies; 1994 estimated population 135,824.000; 1993 population 134.471,000]
Number of persons arrested
Offense charged
Total all ages
Under 18 years of
ige
18 years of age and
over
1993
1994
Percent
change
1993
1994
Percent
change
1993
1994
Percent
change
8,313,748
8,829,467
+6.2
1.565.617
1.727,529
+10J
6.748,131
7,101,938
+5.2
14,942
22,898
130,564
323,744
237,512
981,773
130.449
11.320
14.199
21.306
127.803
334.652
227,117
997,350
129,016
11,840
-5.0
-7.0
-2.1
+3.4
-4.4
+ 1.6
-1.1
+4.6
2.645
3.868
38.010
52.306
80.609
314,629
59,656
6,039
2.573
3,467
41.897
54,247
79,640
337,902
57,954
6,925
-2.7
-10.4
+ 10.2
+3.7
-1.2
+7.4
-2.9
+ 14.7
12,297
19,030
92,554
271.438
156.903
667,144
70,793
5.281
11.626
17.839
85.906
280.405
147.477
659,448
71,062
4.915
-5.5
-6.3
-7.2
+3.3
-6.0
-1.2
+.4
-6.9
492,148
1,361.054
497,960
1.365,323
+ 1.2
+.3
96.829
460.933
102,184
482.421
+55
+4.7
395.319
900.121
395,776
882,902
+.1
-1.9
1.853,202
1,863,283
+.5
557.762
584,605
+4.8
1,295,440
1.278.678
-1.3
704,613
62,489
186.746
7.428
101.704
194.531
172.369
82.159
60,860
733,307
12.543
45.085
686.696
303.728
476.715
485.788
22,160
1,930,993
9.762
75.429
115.203
743.101
68.637
195.487
8.217
103,644
197,798
168,931
80.886
57,905
862.064
13.984
49.664
653.952
322,477
459,409
497,053
19.531
2.246.430
8.073
96,228
120.786
+5.5
+9.8
+4.7
+ 10.6
+ 19
+ 1.7
-2.0
-1.5
-4.9
+ 17.6
+ 11.5
+ 10.2
-4.8
+6.2
-3.6
+2.3
-11.9
+ 163
-17.3
+27.6
+4.8
121.067
4,908
11.964
495
29.126
89.686
42.439
882
11,307
76.385
1.019
2.727
6.094
62.602
11.456
100.509
2.549
242.008
1,172
75.429
115.203
135,007
5.419
16.450
645
29.102
93.743
42,856
923
10.108
106.551
1.391
3.153
6.770
66.503
12.145
1 16,667
3.236
275.241
1.378
96.228
120.786
+ 11.5
+ 10.4
+37.5
+30.3
- 1
+4.5
+ 1.0
+4.6
-10.6
+39.5
+36.5
+ 15.6
+ 11.1
+6.2
+6.0
+ 16.1
+27.0
+ 13.7
+ 176
+27.6
+4.8
583.546
57.581
174,782
6.933
72,578
104,845
129.930
81,277
49,553
656,922
11,524
42,358
680.602
241.126
465.259
385.279
19.611
1,688,985
8.590
608,094
63.218
179,037
7.572
74.542
104,055
126,075
79.963
47.797
755,513
12,593
46,511
647,182
255,974
447,264
380.386
16.295
1,971.189
6,695
+4.2
+9.8
+2.4
+9.2
Stolen property; buying, receiving, possessing
+2.7
-.8
-3.0
-16
Sex offenses (except forcible rape and prostitution). . . .
-3.5
+ 15.0
+9.3
+9.8
-4.9
+6.2
-3.9
-1.3
-16.9
+ 16.7
-22.1
Runaways
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault,
:Property crimes are offenses of burglary, larceny- the fl, motor vehicle theft, and arson.
^Includes arson.
238
Table 45.— City Arrest Trends, Sex, 1993-1994
(6,455 agencies; 1994 eslimaled population 135,824,000; 1993 estimated population 134.471,000)
Offense charged
Males
Percent
change
Under 18
Percent
change
Total
Percent
change
Percent
change
TOTAL
Murder and nonnegligcnt manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime2
Crime Index total1
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 family and children . .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic). . .
Suspicion (not included in totals) . . .
Curfew and loitering law violations .
Runaways
6,665,218
7.056,960
+5.9
1,188.084
-304,397
1,648,530
1.772,507
+7.5
377,533
423,132
13,611
22.598
118,980
271,207
212,719
654,092
115,260
9,648
12.847
21,077
115,781
277,296
202,006
659.185
113,241
10,072
-5.6
-6.7
-2.7
+2.2
-5.0
+.8
-1.8
+4.4
2,497
3,799
34,562
42,878
72.532
213,445
51.816
5.294
2,424
3,398
37,970
43.967
71,694
226,882
50,077
6,076
-2.9
-10.6
+9.9
+2.5
-1.2
+6.3
-3.4
+ 14.8
1.331
300
11,584
52.537
24,793
327,681
15,189
1,672
1,352
229
12.022
57,356
25,111
338.165
15,775
1.768
+ 16
-23.7
+3.8
+9.2
+ 1.3
+3.2
+3.9
+57
148
69
3,448
9.428
8.077
101,184
7,840
745
149
69
3,927
10.280
7.946
111,020
7,877
849
426,396
991,719
427.001
984.504
83.736
343.087
87.759
354,729
+4.8
+3.4
65.752
369.335
70.959
380,819
+7.9
+3.1
13.093
117.846
14.425
127,692
1,411.505
442,488
435,087
577,725
40.904
118,388
4,291
88,629
170,226
159,119
28,811
54,989
614,295
10.743
33,302
585,876
246.476
424,089
383,914
19,606
1,582.573
8.189
54,536
48,611
604,316
44,132
127,773
4,695
89,693
171,926
155,435
30,738
52.371
720,695
11,928
35,538
557,551
261,043
406,860
392,217
15,349
1,843,371
6,743
68.566
51,258
+4.6
+7.9
+7.9
+9.4
+ 1.2
+ 1.0
-2.3
+6.7
-4.8
+ 17.3
+11.0
+6.7
-4.8
+5.9
-4.1
+2.2
-21.7
+16.5
-17.7
+25.7
+5.4
89.143
3.187
8.798
294
25,926
80.793
39.022
390
10.365
68.215
969
1,730
5.195
44,981
9.553
77.532
2,152
189,869
962
54.536
48.611
99,014
3,393
12,377
405
25,866
83,860
39,406
472
9,281
94,414
1,322
1,979
5.802
47.652
10,198
89,479
2,640
214,525
1,094
68,566
51,258
+ 11.1
+6.5
+40.7
+37.8
-.2
+3.8
+ 1.0
+21.0
-10.5
+38.4
+36.4
+ 14.4
+11.7
+5.9
+6.8
+ 15.4
+22.7
+ 13.0
+ 13.7
+25.7
+5.4
126.888
21,585
68.358
3,137
13.075
24.305
13,250
53.348
5.871
119.012
1,800
11,783
100.820
57.252
52,626
101,874
2.554
348.420
1.573
20.893
66,592
138,785
24,505
67,714
3,522
13,951
25,872
13.496
50,148
5,534
141,369
2.056
14,126
96.401
61.434
52.549
104,836
4.182
403,059
1.330
27.662
69.528
+9.4
+ 13.5
-.9
+ 12 3
+6.7
+6.4
+ 1.9
-6.0
-5.7
+18.8
+ 14.2
+ 19.9
-4.4
+7.3
-.1
+2.9
+63.7
+ 15.7
-15.4
+32.4
+4.4
31.924
1.721
3.166
201
3,200
8.893
3,417
492
142
8,170
50
997
899
17.621
1.903
22.977
397
52.139
210
20.893
66,592
35.993
2,026
4.073
240
3,236
9.883
3,450
451
827
12.137
69
1,174
968
18.851
1,947
27,188
596
60,716
284
27,662
69,528
+ 13.9
+9.0
-l.fi
+9.7
+.5
+ 14.0
+ 10.2
+8.4
+ 12.7
+ 17.7
+28.6
+ 194
+1.1
+11.1
+ 1 0
-12.2
+48.6
+38.0
+ 17.8
+7.7
+7.0
+2.3
+ 18.3
+50. 1
+ 16.5
+35.2
+32.4
+4.4
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
2Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
239
Table 46.— City Arrests, Distribution by Age, 1994
[7,358 agencies; 1994 estimated population 142,171.000]
Offense charged
Total
all ages
Ages
under
15
Ages
under
18
Ages
18 and
Age
Under
10
10-12
13-14
TOTAL
Percent distribution1
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny — theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime3
Percent distribution1
Crime Index total4
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 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
See footnotes at end of table.
9,178,097
100.0
14,485
21,969
130,109
346,185
234,868
1 .036,485
131,993
12.304
512,748
100.0
1.415.650
100.0
1,928,398
100.0
766.109
71.411
202,304
8,424
107.566
206,433
173.745
81,775
59.780
881.300
14,204
53,449
690,321
337,393
483.172
525,603
19,879
2,312,799
8.900
99,578
145,554
651,927
7.1
1,816,604
19.8
7361,493
80.2
30,536
148,779
1.6
472,612
5.1
352,807
3.8
398,653
4J
413,217
4.5
411,035
4.5
393,750
4.3
318
1,400
12,446
18,671
35,023
162,426
17,971
5,027
2,623
3.618
42,583
56,151
82.838
352.085
59,379
7.220
11.862
18,351
87,526
290.034
152.030
684.400
72.614
5.084
74
228
795
2.252
8,163
178
920
20
338
2,303
4,198
8.873
45.863
2.151
1.629
296
988
9,915
13,678
23,898
108,400
15,642
2,478
447
667
9.129
10.706
15.967
65.195
14,557
941
767
733
10.562
12,825
16.405
64.781
14.627
710
1,091
818
10,446
13,949
15.443
59.683
12,224
542
1.178
868
9.294
13.991
13,248
51,047
9.124
348
1.181
839
7.565
13,397
10.555
40.366
6,830
326
32.835
6.4
220.447
15.6
104,975
20.5
501,522
35.4
407,773
79.5
914.128
64.6
1,099
.2
11.513
.8
6,859
1.3
58.516
4 1
24.877
4.9
150.418
10.6
20.949
4.1
96.660
6.8
24.887
4.9
96.523
6.8
26,304
5.1
87.892
6.2
25.331
4.9
73,767
5.2
22,982
4.5
58.077
4.1
253,282
13.1
606.497
31.5
1.321.901
68.5
12,612
.7
65,375
3.4
175.295
9.1
117.609
6 1
121.410
6.3
114.196
5.9
99,098
5.1
81.059
4.2
60.565
758
4,089
78
9,381
49.460
14.036
115
5,569
18,494
236
1.261
221
7.991
1.829
44,113
821
82.712
519
29,722
66.675
140,026
5.631
16.670
651
30.345
97.891
44,275
937
10,509
109.523
1.417
3.500
7.160
70.508
12.745
123.044
3.293
285.372
1.478
99,578
145,554
626.083
65.780
185.634
7.773
77.221
108.542
129.470
80.838
49,271
771.777
12,787
49.949
683,161
266.885
470,427
402,559
16.586
2.027.427
7,422
3,092
30
101
8
221
4.870
495
487
226
1
79
79
133
108
1,508
12
4,325
37
494
1.609
15.999
145
604
20
1,704
14,614
2.863
17
1.557
1.901
23
263
14
678
178
9.803
139
16,931
117
4.296
11,538
41,474
583
3,384
50
7.456
29.976
10,678
89
3.525
16,367
212
919
128
7.180
1.543
32.802
670
61.456
365
24.932
53.528
26.160
786
3.842
41
6.220
17.035
8.475
122
1.781
20.547
290
676
370
10.811
1.991
24.354
716
50,532
354
23,213
36,882
26,699
1,662
3,648
173
7.166
16.811
10.457
268
1,598
30,690
397
793
1,854
20.466
3,076
26,789
852
68,026
317
26,458
29.043
26.602
2,425
5.091
359
7,578
14,585
11,307
432
1,561
39.792
494
770
4.715
31.240
5,849
27.788
904
84,102
288
20,185
12,954
24,329
3,275
6,742
470
7.659
10.420
11,921
1.239
1.543
47.839
494
1.404
10.472
46.019
10.596
27.004
991
99,204
316
24,834
3,433
8.019
503
6,360
8,444
10,489
1,787
1,525
45.252
503
1.484
14.644
46.689
11.553
23.902
780
102.172
318
356,965
3.9
984
854
5.911
12.696
7,991
32,020
5.136
226
20,445
4.0
45.373
3.2
65.818
3.4
24.544
3.333
8.419
476
5.064
6,490
8.671
2,164
1.452
39.805
502
1.591
17.850
37.964
12,150
21.962
613
97.807
290
240
Table 46. — City Arrests, Distribution by Age, 1994 — Continued
Offense charged
Age
30-34
35-39
40-44
55-59
60-64
65 and
over
TOTAL
Percent distribution1 .
Murder and nonnegligenl manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime3
Percent distribution1
Crime Index total4 .
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 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 .
334,370
3.6
877
801
5,148
12.925
7.121
28.110
4.279
185
19.751
3.9
39.695
2.8
59.446
3.1
26,506
3,196
8,237
436
4.468
6,229
8.761
2,613
1.557
37,307
433
1.777
25.558
11.990
16,100
23.430
537
95,493
296
320,445
3.5
319,976
3.5
308,632
3.4
1 .334,746
14.5
U94.926
14.1
984,121
10.7
604,660
6.6
325,736
3.5
89,844
1.0
52,937
.6
754
734
4.661
12,754
6,678
26.075
3.919
177
639
845
4,423
13.045
6.815
26.113
3,608
165
551
769
4.143
12,768
6,250
25,283
3.291
167
1.955
3.520
17.430
55.602
29.164
116,279
13,370
819
1,387
3.466
13.944
53,303
27.828
118.526
10,826
867
948
2.460
8.530
39.156
19.333
92.619
6,571
780
594
1.479
3.886
23,316
10.101
58.136
3.195
462
352
789
1.544
12.618
4.162
30.305
1.416
258
186
421
589
6,303
1,586
15,322
576
155
112
214
226
3,556
614
8,533
223
64
18.903
3.7
36,849
26
18.952
3.7
36.701
2.6
18.231
3.6
34,991
2.5
78.507
15.3
159.632
113
72.100
14.1
158.047
11.2
51,094
1 0.0
119,303
8.4
29.275
5.7
71,894
5.1
15,303
3.0
36,141
2.6
7,499
1.5
17,639
1.2
4.10
9.434
.7
55.752
2.9
55.653
2.9
53.222
2.8
238.139
12.3
230.147
11.9
101.169
5.2
51.444
2.7
25.138
1.3
1 3.542
.7
27.713
3.110
8.513
430
4.042
5,531
7.755
2,801
1,656
35,126
366
1.848
26,990
9.221
15.768
21,074
541
91.905
303
28.537
3,096
8,642
381
3.760
5,281
7,002
3.315
1.689
35,151
394
2.013
28,733
7,822
15,878
20.503
587
91.195
344
28,288
3.105
8.672
387
3.532
4.963
6.337
3.675
1.627
33.996
356
2.057
28.336
6.634
15.524
18,516
554
88.550
301
126.162
13,602
37,329
1,479
14.039
19,951
22.393
18,973
8.299
148,363
1,620
9,452
125.849
24,116
72,847
71.206
2,731
376,791
1,405
122,461
12,450
33.603
1.190
11.635
17,246
17.035
19.581
9,159
143.162
1.717
10.648
128.624
22.797
85,578
65,360
3.066
358.012
1.455
88,557
8.543
25.276
861
8.197
11.696
11.866
12.743
7.347
104.583
1,602
8,498
102.631
19.280
76.674
48.040
2.615
273.522
1.193
50,596
4,721
15,857
519
4,504
6,313
7,505
6,388
4.914
58,168
1,367
4.617
69.875
13.906
55.626
28,408
1,652
167,876
679
26.116
2,159
8.437
342
2,123
3.007
4.279
2.703
3.130
25,665
1.043
2.326
44.107
8,612
34,395
15.306
961
89.282
299
12.885
931
3.905
154
942
1,404
2.446
1.296
1.988
10.103
830
1,003
26.028
5.135
21.374
8.060
496
45,271
99
6.463
410
1.840
67
445
672
1.283
705
1.287
4.031
620
518
15,077
3,175
11.948
4,215
215
23.267
64
75
135
108
2,117
278
5.828
94
38
2.435
.5
6.238
.4
8.673
.4
3.830
197
1.006
38
212
349
779
408
873
1,824
457
326
9,078
1.826
7,372
2,555
134
12,971
29
59,862
.7
89
157
124
2,487
306
9,838
156
47
2,857
.6
10,347
.7
13,204
.7
4,262
219
1.137
40
239
546
948
447
1,225
1,402
483
387
9,309
1.699
7.044
3.018
113
14.109
31
'Because of rounding, the percentages may not add to total.
:Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
241
Table 47.— City Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1994
[7,358 agencies; estimated population 142,171.000]
Offense charged
Tola! all
ages
Number of persons arrested
Under 15
Under 18
Under 21
Under 25
Percent of total all ages
Under 15
Under 18
Under 21
TOTAL .
Murder and nonnegligent manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1 . .
Property crime2
Crime Index total1
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 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
9,178,097
14.485
21,969
130.109
346.185
234.868
1.036.485
131,993
12.304
512.748
1.415.650
766.109
71.411
202.304
8.424
107.566
206.433
173.745
81.775
59,780
881.300
14.204
53.449
690.321
337,393
4X3, 172
525,603
19,879
2,312.799
8,900
99.578
145,554
651,927
1,816,604
2.978,354
4,261,777
318
1,400
12.446
18.671
35.023
162,426
17,971
5,027
2,623
3,618
42.583
56,151
82,838
352.085
59,379
7.220
5,966
6.179
65.353
96.235
114.632
475.518
80.469
8.120
8.787
9.328
83.728
147,727
141.496
581.099
95.566
8.814
2.2
6,4
9.6
5.4
14.9
15,7
13.6
40.9
32.835
220.447
104.975
501.522
173.733
678.739
249.570
826,975
6.4
15.6
1 ,076.545
60.565
758
4,089
78
9.381
49.460
14.036
115
5.569
18,494
236
1,261
221
7,991
1,829
44.113
821
82.712
519
29.722
66.675
140,026
5,631
16,670
651
30,345
97.891
44,275
937
10.509
109.523
1,417
3.500
7.160
70,508
12.745
123.044
3.293
285.372
1,478
99.578
145.554
213.733
15.672
39.850
2.100
49.428
123.245
75.356
6.127
15,029
242.419
2,916
7.979
50,126
201,180
47,044
195.912
5.677
584.555
2.402
99.578
145.554
324.777
28,179
73.914
3.734
65.230
145.249
105.211
18,531
21,558
383.999
4.465
15,674
159,743
236,847
110.314
279.435
7,896
951.698
3.646
99.578
145.554
7.9
1 1
2.0
.9
87
24.0
8.1
.1
9.3
2.1
1.7
2.4
2.4
,4
8.4
4 1
36
5.8
29.8
45.8
19.8
18.1
16.5
327
16.2
35.3
34.0
45.0
58.7
20.5
35.4
31.5
18.3
7.9
8.2
7.7
28.2
47.4
25.5
1.1
17.6
12.4
10.0
6.5
1.0
20.9
2 6
23.4
16.6
12.3
166
1000
100.0
32.5
41.2
28.1
50.2
27.8
48.8
45.9
61.0
66.0
33.9
47.9
27.9
21.9
19.7
24.9
46.0
59.7
43.4
7.5
25.1
27.5
20.5
14.9
7.3
59.6
9.7
37.3
28.6
25.3
27.0
1000
100.0
46.4
60.7
42.5
64.4
42.7
60.2
56.1
72.4
71.6
48.7
58.4
55.8
42.4
39.5
36.5
44.3
60.6
70.4
60.6
22.7
36 1
43.6
31.4
29 3
23.1
70.2
22.8
53.2
39.7
41.1
41.0
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
2Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
4Less than one-tenth of 1 percent.
242
Table 48.— City Arrests, Distribution by Sex, 1994
[7.358 agencies: estimated population 142,171.000]
Offense charged
Number of persons arrested
Male
Female
Percent
male
Percent
female
Percent distribution1
TOTAL .
Murder and nonnegligent manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1 . .
Property crime4 .
Crime Index lotaP
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 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
9.178.097
14.485
21.969
130,109
346,185
234,868
1.036,485
131.993
12.304
512.748
1.415,650
1.928.398
766.109
71,411
202.304
8.424
107.566
206.433
173.745
81.775
59,780
881.300
14,204
53,449
690.321
337.393
483.172
525,603
19,879
2,312.799
8,900
99,578
145.554
7,328.312
1.849,785
13.098
21.731
117.891
286.941
209.106
685,318
115.795
10,472
1,387
238
12,218
59,244
25,762
351,167
16,198
1.832
90.4
98.9
90.6
82.9
89.0
66.1
87.7
85.1
'9.6
1.1
9.4
17.1
11.0
33.9
12.3
14.9
439.661
1.020,691
73,087
394.959
85.7
72.1
14.3
27.9
1,460.352
468,046
623.034
45,841
131.845
4.826
93,040
179.470
159.827
31.022
54,144
736.991
12.119
38.532
588,235
272,699
427,570
414,955
15,638
1 .897.643
7,419
71.090
62.020
143.075
25,570
70.459
3,598
14,526
26.963
13.918
50.753
5,636
144.309
2.085
14,917
102.086
64.694
55,602
110,648
4,241
415,156
1,481
28,488
83,534
81.3
64.2
65.2
57.3
86.5
86.9
92.0
37,9
90.6
83.6
85.3
72.1
85.2
80.8
88.5
78.9
78.7
82.0
83.4
71.4
42.6
18.7
35.8
34.8
42.7
13.5
13.1
8.0
62.1
9.4
164
14.7
27.9
14.8
19.2
11.5
21.1
21.3
18.0
16.6
28.6
57.4
14
3.8
2.6
11.3
1.4
1
5.6
15.4
21.0
2.2
.1
1.2
2.2
1.9
.9
.7
9.6
.2
.6
7.5
3.7
5.3
5.7
2
25 2
.1
1.1
1.6
100.0
1.6
3.9
2.9
9.4
1.6
.1
6.0
13.9
8.5
6
1.8
1
1.3
2.4
2.2
.4
.7
10.1
2
.5
8.0
3.7
5.8
5.7
2
25.9
.1
10
lllll.ll
,1
.7
3.2
1.4
19.0
.9
.1
4.0
21.4
7.7
1 4
3.8
.2
3.5
3.0
6.0
2
22.4
.1
1.5
4.5
'Because of rounding, the percentages may not add to total.
2Less than one-tenth of 1 percent.
-'Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
■"Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
includes arson.
243
Table 49.— City Arrests, Distribution by Race, 1994
(7,356 agencies, 1994 estimated population 142,156.000]
Offense charged
Total
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligenl manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Property crime3
Crime Index total4
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 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
See footnotes at end of table
9.166.658
14,464
21,949
129.932
345,874
234.623
1.035,531
131,921
12.288
512.219
1.414,363
764,832
71.386
202,115
8.423
107,374
206.082
173.394
81.690
59.690
880.562
14,202
53,083
689,244
336.697
482.861
525,028
19.873
2.310.214
8.879
99,471
144.976
5,861311
93.051
101.215
100.0
63.9
5,160
11.004
47.291
190,545
148,490
656.565
70,919
8,863
9,060
10.473
80,396
148.710
81.732
351,111
57.376
3,181
67
192
620
2,533
1.719
11,299
1,173
112
177
280
1,625
4.086
2.682
16.556
2,453
132
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
35.7
50.1
36.4
55.1
63.3
63 4
53.8
72.1
254,000
884,837
248,639
493,400
3.412
14.303
6.168
21.823
100.0
100.0
49.6
62.6
1,138,837
742,039
17.715
27.991
458.488
43,874
115.699
5,304
58.256
148.496
94.109
50,000
43.422
503,222
6.820
34.394
596.603
273.584
382.586
330.640
11,186
1.378.619
3,600
75,531
108,041
289,128
25.962
83,202
2.971
47,184
52,267
76,217
29,815
14.876
369.114
6,732
16.577
77,300
52,494
88.040
185,304
8,242
886.107
5,236
21,511
30,763
8.975
415
812
33
665
2,266
937
478
579
3,132
42
597
9,482
8.191
10.704
6,051
353
19.332
18
1,046
1.228
8,241
1,135
2,402
115
1,269
3.053
2,131
1,397
813
5,094
608
1,515
5,859
2,428
1.531
3,033
92
26,156
25
1 ,383
4.944
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
100.0
100.0
100.0
100.0
100.0
100.0
100.0
59.9
61.5
57.2
63.0
54.3
72.1
54.3
61 .2
72.7
57.1
48.0
64.8
86.6
81.3
79.2
63.0
56.3
59.7
40.5
75.9
74.5
33.9
62.6
47.7
61.9
43.0
34.8
33.9
43.5
25.9
48.5
34.9
37.8
36.4
41.2
35.3
43.9
25.4
44.0
36.5
24.9
41 9
47.4
31.2
11.2
15.6
18.2
35.3
41.5
38.4
59.0
21.6
21.2
1.0
.4
.3
1.1
1.4
2.4
2.2
1.2
1.8
.8
.2
1.1
1.1
1.2
1.3
1.3
1.2
1.1
1.6
1.9
1.1
1.2
1.5
1.1
16
1.2
1.4
1.2
1.5
1.2
14
.6
4.3
2.9
.9
.7
.3
6
.5
II
.3
1.4
3.4
244
Table 49. — City Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests under 18
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligenl manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Property crime-1
Crime Index total4
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 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
See footnotes at end of table.
1.813.356
2,622
3,618
42.490
56.095
82.745
351,683
59.347
7,214
104,825
500.989
NI5.M4
139,407
5,626
16.671
651
30.326
97.719
44.255
937
10,468
109,437
1,417
3,483
7,152
70,358
12,740
123,009
3,293
284,678
1,468
99,471
144,976
1.209.930
552.825
17,995
32,606
100.0
944
1.813
15.239
29.839
58.047
243.107
31.370
5.637
1,633
1,740
26.394
25.046
22.700
96.412
26.175
1.420
26
191
423
786
4,474
670
73
36
39
666
787
1,212
7.690
1.132
84
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
36.0
50.1
35.9
53.2
70.2
69.1
52.9
78.1
47,835
338.161
54.813
146.707
649
6,003
1,528
10,118
100.0
100.0
45.6
67.5
385.996
201.520
83,422
4.415
8.405
427
17.037
76,623
26,713
613
6,944
63,091
332
2.338
6,469
63.388
11,000
78,071
2.322
187,756
996
75.531
108,041
52,519
1.064
7.743
218
12,505
18.318
16.477
297
3,302
45.118
1.053
1.020
507
4.597
1,468
42.987
928
88,449
461
21,511
30,763
1.342
58
84
287
974
307
78
459
3
27
128
1.768
225
991
6
2.314
6
1.046
1.228
2.124
89
439
3
497
1.804
758
18
144
769
29
98
48
605
47
960
37
6,159
5
1.383
4.944
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
100.0
100.0
100.0
100.0
100.0
100.0
100.0
59.8
78.5
50.4
65.6
56.2
78.4
60.4
65.4
66.3
57.7
23.4
67.1
90.5
90.1
86.3
63.5
70.5
66.0
67.8
75.9
74.5
30.5
62.3
48 1
62.1
44.6
27 4
27.4
44.1
19.7
52.3
29.3
37.7
18.9
46.4
33.5
41.2
18.7
37.2
31.7
31.5
41 2
74.3
29.3
7.1
6.5
11.5
34.9
28.2
31.1
31.4
21.6
2i :
14
II
1.6
1.4
1.5
2.2
1.9
1.2
1.5
2.0
15
1.6
2.6
.5
1.7
19
1.4
.7
2.0
.3
1.4
3.4
245
Table 49. — City Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests 1 8 and over
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
American
Indian
ALiskjn
Native
Pacific
[slander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 . .
Property crime3
Crime Index total4
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 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
7,353,302
11.842
18,331
87,442
289,779
151,878
683,848
72.574
5,074
407.394
913,374
1,320,768
625.425
65,760
185,444
7,772
77.048
108.363
129.139
80.753
49.222
771,125
12,785
49,600
682.092
266.339
470,121
402.019
16,580
2,025,536
7.411
4,651,381
2,558.256
75,056
68,609
100.0
63.3
4,216
9.191
32,052
160,706
90.443
413,458
39.549
3,226
7.427
8,733
54,002
123.664
59,032
254,699
31,201
1.761
206.165
546,676
193.826
346.693
58
141
166
241
429
959
2.110
3.299
933
1.470
6,825
8.866
503
1,321
39
48
2,763
4,640
8.300
11.705
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
35.6
50.1
36.7
55.5
59.5
60.5
54.5
63.6
100.0
100.0
50.6
59.9
752,841
375.066
39.459
107,294
4.877
41.219
71.873
67.396
49.387
36.478
440.131
6.488
32,056
590,134
210.196
371,586
252.569
8.864
1.190.863
2.604
540.519
236.609
24,898
75,459
2,753
34,679
33.949
59,740
29,518
11.574
323.996
5.679
15.557
76,793
47.897
86,572
142.317
7,314
797,658
4.775
11,063
7,633
357
728
30
378
1,292
630
469
501
2,673
39
570
9,354
6.423
10.479
5.060
347
17.018
12
16.345
6.117
1,046
1.963
112
772
1.249
1,373
1.379
669
4.325
579
1.417
5,811
1,823
1,484
2,073
55
19,997
20
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
loo.o
100.0
100.0
100.0
100.0
100.0
100.0
loo.o
100.0
100.0
100.0
57.0
60.0
60.0
57.9
62.8
53.5
66.3
52.2
61.2
74.1
57.1
50.7
64.6
86.5
78.9
79.0
62.8
53.5
58.8
35.1
62.7
47.6
61.8
42.7
38.9
37.2
43.0
34.7
47.6
38.0
40.9
378
37.9
40.7
35.4
45.0
31.3
46.3
36.6
23.5
42.0
44.4
31.4
11.3
180
18.4
35.4
44.1
39.4
64.4
.5
9
5
.7
.6
1.0
.7
.8
1.2
.5
4
.4
.5
1.2
.5
1.0
3
3
1.1
I 4
2.4
2.2
13
2.1
.8
.2
■Because of rounding the percentages may not add to total.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assaull.
3Property crimes are offenses of burglary, larcery-lheft. motor vehicle theft, and arson.
4Includes arson.
246
Table 50.— Suburban County Arrest Trends, 1993-1994
[879 agencies; 1994 estimated population 41.954,000; 1993 estimated population 41.510,000]
Offense charged
Number of persons arrested
Total all ages
1993
1994
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Percent
change
TOTAL .
Murder and nonnegligenl manslaughter.
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1 . .
Property crime2
Crime Index total3.
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 family and children.
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . .
Suspicion (not included in totals) . .
Curfew and loitenng law violations.
Runaways
1,699,276
2.781
4,976
13,718
68,023
54,315
139,335
25.157
2.602
89.498
221.409
4,215
14,800
137,886
1,317
26.979
256.257
42.598
50.739
41.887
1.563
489.532
156
2,420
18.230
1,762,477
2.570
4,763
13.947
70,413
53,738
146.898
25,628
2,840
91.693
229.104
129.517
147,302
13,742
13,424
78.393
78,334
2.141
2,126
18.398
18.969
30.376
32,659
27,379
27.978
4.704
13.922
167,988
1,206
26,346
243.283
44,125
48.424
41.850
1.014
502.849
123
3,693
21.484
+3.7
221.448
252.695
1.477,828
1,509.782
-7.6
-4.3
+ 1.7
+3.5
-1.1
+5.4
+ 1.9
+9.1
345
850
3,247
9.320
19,645
40,250
10,134
1.104
319
825
3,946
10,278
21.388
45,497
10.280
1.462
-7.5
-2.9
+21.5
+ 10.3
+8.9
+ 13.0
+1.4
+32.4
2.436
4.126
10.471
58.703
34.6711
99.085
15.023
1.498
2,251
3,938
10.001
60,135
32,350
101,401
15,348
1 ,378
+2.5
+3.5
13.762
71,1 33
15.368
78.627
+11.7
+ 10.5
75,736
150,276
76,325
150,477
93.995
226,012
+ 13.7
-2.3
-.1
-.7
+3.1
+7.5
+2.2
+ 11.6
-5.9
+21.8
-8.4
-2.3
-5.1
+3.6
-4.6
-.1
-35.1
+2.7
-21 2
+52.6
+17.8
18,952
771
885
69
4.140
14.266
5.846
63
2,954
10,251
59
444
1,788
10.648
1.061
7.759
422
35.525
41
2,420
18.230
22.826
811
1.121
82
4,278
15.637
6.059
69
2.490
16,195
65
357
1.883
11.771
1.132
8,762
290
39,695
21
3,693
21,484
+20.4
+5.2
+26.7
+18.8
+3.3
+9.6
+3.6
+9.5
-15.7
+58.0
+ 10.2
-196
+5.3
+ 10.5
+6.7
+ 12.9
-31.3
+ 11 7
^8.8
+52.6
+17.8
110.565
12,971
77,508
2.072
14.258
16,110
21,533
4,152
11.846
127.635
1.258
26.535
254.469
31.950
49.678
34,128
1.141
454.007
115
124.476
12,613
77.213
2,044
14.691
17,022
21,919
4,635
11.432
151,793
1.141
25.989
241,400
32,354
47,292
33.088
724
463,154
102
-7.6
-4.6
-4.5
+2.4
-.6.7
+2.3
+2.2
-8.0
+12.6
-2.8
-.4
-1.4
+3.0
+5.7
+ 1.8
+ 11.6
-3.5
+18.9
-9.3
-2.1
-5.1
+ 13
-4.8
-3.0
-36.5
+2.0
-11.3
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
:Properry crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
247
Table 51.— Suburban County Arrest Trends, Sex, 1993-1994
[879 agencies; 1994 estimated population 41,954,000; 1993 estimated population 41,510.000)
Offense charged
1994
Percent
change
Under 18
1993
1994
Percent
change
Females
1993
1994
Percent
change
Under 18
1993
Percent
change
TOTAL .
Murder and nonneghgent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1 .
Property crime2
Crime index total3
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 family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . .
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
U80, 186
1,423,904
+3.2
172,715
195.032
+ 12.9
319,090
338,573
+6.1
48,733
57,663
2.503
4,916
12.668
58.121
49,432
96.307
22.228
2.193
78,208
170,160
248,368
105,846
8.892
41.171
1,357
16.148
26.970
25,089
2.152
13,738
1 14,224
1.144
24.357
222.727
34,273
44.993
33.884
1.293
403.596
139
1,745
8.219
2,314
4,711
12,816
59,678
48,750
99,859
22.531
2.424
-7.6
-4.2
+1.2
+2.7
-1.4
+3.7
+ L4
+ 10.5
332
838
3.016
7,824
17.889
29.128
8.717
956
304
810
3,631
8.536
19,559
32.073
8.843
1,278
-8.4
-3.3
+20.4
+9.1
+9.3
+ 10.1
+ 1.4
+33.7
278
60
1.050
9.902
4.883
43.028
2.929
409
256
52
1.131
10.735
4.988
47,039
3.097
416
-7.9
-13.3
+7.7
+8.4
+2.2
+9.3
+5.7
+ 1.7
13
12
231
1.496
1.756
11,122
1,417
148
15
15
315
1,742
1,829
13,424
1,437
184
79,519
173,564
+ 1.7
+2.0
12.010
56,690
13,281
61,753
+ 10.6
+8.9
11.290
5 1 .249
12.174
55.540
+7.8
+8.4
1.752
14.443
2.087
16.874
68.700
16.195
119.514
8,768
42.072
1.314
16.537
28.825
25.515
2,290
13,042
138.919
1.018
23,853
211,024
35,157
42.656
33,757
870
413,542
107
2,583
9,565
+12.9
-1.4
+2.2
-3.2
+2.4
+69
+ 1.7
+6.4
-5.1
+21.6
-110
-2.1
-5.3
+2.6
' -5.2
-.4
-32.7
+2.5
-23.0
+48.0
+ 16.4
14.328
482
598
41
3,686
12,992
5,384
35
2,587
8,909
59
290
1,531
7,710
901
6,061
327
28.130
39
1.745
8.219
17,034
586
717
54
3.777
14,203
5.558
35
2,348
14.069
61
236
1.636
8,478
929
6.795
230
31,104
19
2.583
9.565
+ 18.9
+21.6
+19.9
+31.7
+2.5
+9.3
+3.2
-9.2
+57.9
+3.4
-18.6
+69
+ 10.0
+3.1
+12.1
-29.7
+10.6
-51.3
+48.0
+ 16.4
23.671
4.850
37,222
784
2,250
3.406
2,290
2,063
1,062
23,662
173
2,622
33.530
8.325
5,746
8.003
270
85.936
17
675
10.011
27.788
4.656
36,262
812
2,432
3.834
2.463
2.414
880
29.069
188
2,493
32.259
8.968
5,768
8,093
144
89,307
16
1,110
11.919
+17.4
-4.0
-2.6
+3.6
+8.1
+ 12.6
+7.6
+ 17.0
-17.1
+22.9
+8.7
-4.9
-3.8
+7.7
+.4
+ 1 1
-46.7
+3.9
-5.9
+64.4
+ 19.1
4.624
289
287
28
454
1.274
462
28
367
1,342
154
257
2,938
160
1,698
95
7,395
2
675
10,011
5,792
225
404
28
501
1,434
501
34
142
2,126
4
121
247
3,293
203
1,967
60
8,591
2
1.110
11,919
+18.3
+15.4
+25.0
+36.4
+ 16.4
+4.2
+20.7
+ 1.4
+24.3
+ 19.1
+ 16.8
+25.3
-22.1
+40.8
+ 10.4
+ 12.6
+8.4
+21.4
-61 3
+58.4
-21.4
-3.9
+ 12.1
+26.9
+15.8
-36.8
+ 16.2
+64.4
+ 19.1
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
2Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson
^Includes arson.
248
Table 52. — Suburban County Arrests, Distribution by Age, 1994
[1.179 agencies; 1994 estimated population 43,993.000]
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Offense charged
Under
10
10-12
13-14
15
16
17
18
19
20
TOTA1
1,883,866
100.0
97.525
5.2
287,923
15J
1.595,943
84.7
4,632
.2
20,345
1.1
72,548
3.9
57,153
3.0
65,109
3.5
68,136
3.6
73,465
3.9
74,759
4.0
68.985
3.7
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
2.730
5.034
14,458
73,913
56,541
154,548
26.652
3,033
40
331
1.019
3.628
8,728
18,614
2.948
993
338
858
4.040
10.765
22.465
47,452
10.686
1.545
2,392
4.176
10,418
63.148
34.076
107.096
15,966
1,488
19
15
198
580
727
21
171
7
76
159
859
1.957
4,635
320
327
33
236
845
2,571
6.191
13,252
2.607
495
60
154
809
1 .995
4.472
9,056
2.665
219
98
192
1,047
2,391
4.633
9,882
2.674
174
140
181
1,165
2,751
4,632
9,900
2.399
159
182
207
1,168
2,696
4,183
8.679
1,984
114
179
195
965
2,546
3,278
6,898
1 .457
98
168
191
764
2,332
2,378
5,365
1,088
Arson
74
Violent crime2
Percent distribution1
96,135
1 00.0
240.774
100.0
5.018
5.2
31,283
13,0
16.001
16,6
82,148
34 1
80.134
83.4
158.626
65.9
232
2
1.499
6
1,101
1 1
7,239
3.0
3,685
3.8
22,545
94
3,018
3.1
16.412
6.8
3.728
3.9
17,363
7,2
4,237
4,4
17,090
7.1
4,253
4.4
14,960
6.2
3.885
4.0
11.731
4.9
3.455
3.6
8,905
3.7
Crime Index total4
336.909
100.0
36,301
10,8
MS, 149
29.1
238.760
70.9
1.731
.5
8.340
2.5
26,230
7.8
19,430
5.8
21.091
6.3
21.327
6.3
19.213
5.7
15.616
4.6
12,360
3.7
155,025
14.513
80.985
2,226
20.308
34,324
29.207
4.842
14.801
176.264
1.282
28,418
262.324
47,672
50.921
46,881
1.219
525,484
1.772
4.228
44,261
9,403
100
180
5
1,083
7,324
2,109
5
1.301
2,581
5
123
51
1.067
166
3.304
81
12.179
5
1.203
18,949
23,872
868
1,195
87
4.505
16.384
6.311
71
2,604
16.867
66
412
1.982
12,598
1.174
9.794
296
42,107
92
4,228
44,261
131.153
13.645
79,790
2.139
15,803
17.940
22,896
4.771
12.197
159.397
1.216
28.006
260,342
35,074
49,747
37.087
923
483.377
1.680
487
15
9
706
94
1
106
20
1
3
16
3
9
154
6
815
31
423
2.328
22
24
138
2.076
446
1
359
281
1
20
7
73
15
653
9
2.389
1
142
3.020
6.588
76
141
5
936
4,542
1.569
3
836
2.280
3
100
28
991
142
2.497
66
8.975
4
1.030
15.506
4,513
115
154
3
897
3,001
1,188
7
452
2,878
6
89
100
1.668
195
1.891
47
8.109
6
934
11.470
5.016
247
313
23
1,188
3.132
1.369
16
392
4.755
23
94
480
3.766
306
: 294
75
9.824
10
1.180
9.515
4.940
406
548
56
1.337
2.927
1,645
43
459
6,653
32
106
1.351
6.097
507
2.305
93
1 1 .995
71
911
4.327
4.511
569
1.333
73
1.445
2,272
1,787
74
399
9,170
21
400
3.242
7,596
1.143
2,352
67
17.732
66
4,456
683
2.361
106
1.238
1,585
1.567
110
401
9.161
27
471
5.027
7.225
1.310
2.016
72
21.276
51
4,097
629
2,981
92
Stolen property; buying, receiving,
987
1,122
Weapons; carrying, possessing.
1,279
Prostitution and commercialized
105
Sex offenses (except forcible rape
392
8.297
25
Offenses against family
521
6.166
5.495
1.461
1.622
Vagrancy
All other offenses (except traffic) ....
Suspicion
Curfew and loitering law
54
21,262
38
Runaways
See footnotes at end of table.
249
Table 52. — Suburban County Arrests, Distribution by Age, 1994 — Continued
Offense charged
Age
23
25-29 30-34 35-39 40-44 45-49
65 and
over
TOTAL
Percent distribution1
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3
Percent distribution1.
Property crime3 ....
Percent distribution1.
Crime Index total-1 . .
Percent distribution1
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing.
Prosmution and commercialized
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family
and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic).
Suspicion
Curfew and loitenng law
violations
Runaways
68,157
3.6
158
176
684
2,484
1,948
4.727
987
56
3,502
3.6
7,718
3.2
11.220
3.3
4.596
617
3.307
87
943
933
1.305
106
362
7.996
30
661
9,077
1.363
1.801
1,704
39
21,962
48
68.279
3.6
70,541
3.7
68.426
3.6
302,907
16.1
294,638
15.6
220,716
11.7
131,864
7.0
72.950
3.9
37.819
2.0
19.600
1.0
11,045
.6
126
160
618
2.549
1,760
4,298
828
52
112
156
587
2,585
1,589
4,340
820
61
116
145
510
2,425
1.369
4.045
734
50
396
753
1,903
11.998
5.988
18.456
3,046
221
292
728
1,587
12,122
5.311
18.304
2,351
262
266
617
928
9,298
3,385
13,701
1.367
170
153
342
446
5,509
1.635
8,216
729
131
103
209
154
2,986
698
4.577
330
97
57
117
55
1,636
314
2.298
136
47
28
70
21
908
117
1.303
51
17
3,453
3.6
6,938
2.9
3,440
3.6
6.810
3.196
3.3
6.198
2.6
15.050
15.7
27.711
11.5
14.729
15.3
26.228
10.9
11,109
11.6
18,623
7.7
6,450
6.7
10.711
4.4
3,452
36
5,702
2.4
1.865
1.9
2,795
1.2
1,027
I.I
1.488
.6
10,391
3.1
10.250
3.0
9.394
2.8
42.761
12.7
40.957
12.2
29.732
17.161
5.1
9.154
2.7
4.660
1.4
2.515
.7
4.971
655
3,512
89
829
796
1.276
147
400
7,618
21
770
9.697
1,061
1.835
1.675
37
22.448
51
5,377
642
3,875
89
743
866
1,250
183
358
7,631
31
875
10,900
890
1,795
1.604
37
23.087
58
5,582
641
3,820
102
705
743
1.123
193
381
7,237
31
1.028
10,824
756
1,770
1.462
34
22.534
66
25.489
2,901
16,357
418
3.010
3,006
4,099
1.010
1,936
31.543
119
5.500
49,381
2.845
8,406
6.462
161
97,212
291
26.646
2,677
15.293
380
2.473
2,753
3.193
1,081
2.097
29,994
118
6.453
49,710
2.634
9,400
6,470
148
91.815
346
20,247
1,874
11,557
290
1.659
1,783
2,431
763
1.722
21.252
131
5.238
39.678
2,089
8.119
5,063
105
66.694
289
11.619
908
7,148
177
923
951
1,404
450
1.192
11,284
145
3.181
26.992
1,264
5.566
2.974
75
38,263
187
6,512
505
4.241
130
418
522
950
239
930
4,859
109
1.566
17.342
792
3.293
1,643
35
19,603
107
3,300
188
2,056
58
212
273
575
125
558
1,910
109
743
10,165
490
1,785
922
33
9.609
48
1.691
75
965
21
119
135
275
363
826
342
5.538
267
939
517
10
4,830
13
27
47
9
481
45
753
26
23
564
.6
847
.4
1.411
.4
1,008
41
509
14
48
80
176
268
316
132
156
3.400
146
596
263
4
2,414
15
1,792
.6
29
63
19
593
78
1,136
32
15
704
.7
1.261
.5
1,965
.6
1,051
40
475
13
51
120
206
438
303
85
101
3,203
161
528
338
12
2.636
6
'Because of rounding, the percentages may not add to total.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
■•Includes arson.
250
Table 53. — Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1994
[1.179 agencies; 1994 estimated population 43,993.000]
Offense charged
Total
all ages
Number of persons arrested
Under 15
Under 18
Under 21
Percent of total all i
Under
15
Under
18
Under
21
Under
25
TOTAL .
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime1
Property crime-
Crime Index total1.
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 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
2,730
5,034
14,458
73,913
56.541
154.548
26.652
3,033
96,135
240,774
155.025
14.513
80,985
2,226
20.308
34,324
29,207
4.842
14,801
176.264
1,282
28.418
262.324
47,672
50,921
46.881
1.219
525.484
1.772
4,228
44.261
97.525
287,923
505.13;
40
331
1.019
3,628
8.728
18.614
2.948
993
338
858
4,040
10.765
22,465
47.452
10,686
1.545
867
1.451
6.937
18,339
32,304
68.394
15.215
1.831
1.379
2.088
9,336
28.382
38.970
85.804
18.584
2.050
1.5
6.6
7.0
4.9
154
12.0
III
32.7
12.4
17.0
27.9
14.6
39.7
30.7
40.1
50.9
5.018
31.283
16.001
82.148
27.594
117.744
41,185
145,408
5.2
13.0
16.6
34.1
36.301
9.403
100
180
5
1.083
7,324
2.109
5
1,301
2,581
5
123
51
1.067
166
3.304
81
12.179
5
1,203
18,949
23,872
868
1.195
87
4,505
16.384
6,311
71
2,604
16,867
66
412
1.982
12,598
1.174
9,794
296
42.107
92
4,228
44.261
36.936
2.749
7,870
358
8.175
21.363
10.944
360
3.796
43.495
139
1,804
16,417
32,914
5.088
15.784
489
102,377
247
4,228
44,261
57.462
5.304
22,384
725
11,395
24,701
15.898
989
5,297
73.977
252
5.138
56,915
36,984
12.289
22 229
636
192,408
470
4.228
44.261
5.3
21.3
7.2
.1
8.8
1.5
.4
.4
2.2
.3
7.0
6.6
2.3
.3
28.5
42.8
15.4
6.0
1.5
3.9
22.2
47.7
21.6
1.5
176
96
5.1
1.4
.8
26.4
2.3
20.9
24.3
8.0
5.2
100.0
100.0
26.8
31.8
28.8
48.0
24.8
57.1
44.3
57,1
60.4
28.7
48.9
23.8
18.9
9.7
16.1
40.3
62.2
37.5
74
25.6
24.7
10.8
6.3
6,3
69.0
10.0
33.7
40,1
195
13.9
100.0
100.0
50.5
41,5
64.6
38.4
68.9
55.5
69.7
67.6
42.8
60.4
37.1
36.5
27.6
32.6
56.1
72.0
54.4
20.4
35.8
42.0
19.7
18.1
21.7
77.6
24.1
47.4
52.2
366
26.5
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
:Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
4Less than one-tenth of I percent.
251
Table 54. — Suburban County Arrests, Distribution by Sex, 1994
[1,179 agencies; 1994 estimated population 43.993.000]
Offense charged
Number of persons arrested
Male
Percent
male
Percent
female
Percent distribution'
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft ...
Arson
Violent crime- . .
Property crime4 .
Crime Index total5
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 l
Drug abuse violations
Gambling
Offenses against 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
2,730
5,034
14,458
73.913
56.541
154,548
26.652
3,033
96,135
240,774
155,025
14.513
80,985
2.226
20.308
14.324
29,207
4,842
14.801
176.264
1.282
28,418
262.324
47.672
50,921
46.881
1,219
525,484
1,772
4,228
44.261
369.967
100.0
2.455
4.980
13,303
62.615
51,311
105.147
23.413
2.593
275
54
1,155
11,298
5,230
49,401
3,239
440
89.9
98.9
92.0
84.7
90.8
68 0
87.8
85.5
10.1
1 1
8.0
15.3
9.2
32.0
12.2
14.5
83.353
182.464
12,782
58,310
86.7
75.8
13.3
24.2
125.664
9.459
43.566
1,388
17,683
30.321
26.596
2.377
13.883
145.941
1,074
25,636
227,364
37.612
44,757
37.503
1.055
432.109
1.553
2.966
19.575
29.361
5.054
37.419
838
2.625
4,003
2,611
2.465
918
30,323
208
2,782
34,960
10,060
6,164
9,378
164
93,375
219
1.262
24,686
81.1
65.2
53.8
62.4
87.1
88.3
91.1
49 I
93.8
82.8
83.8
90.2
86.7
78.9
87.9
80.0
86.5
82.2
87.6
70.2
442
18.9
34.8
46.2
37.6
12.9
11.7
8.9
50.9
6.2
17,2
162
9.8
13.3
21 I
12.1
20.0
13.5
17.8
12.4
29.8
55.8
1
.3
.8
3.9
3.0
5.1
12.8
4.3
.1
1.1
1.8
1.6
.3
.8
9.4
I
1.5
13.9
2.5
2.7
2.5
I
27.9
I
.2
2.3
100.0
.2
.3
.9
4.1
3.4
6.9
I 5
.2
5.5
12.1
8.3
.6
2.9
1
1.2
2.0
1.8
.2
9
9.6
1
17
15.0
2.5
3.0
25
1
28.5
1
.2
1.3
.1
2
.3
3.1
1.4
13.4
.9
.1
3.5
15.8
19.2
7.9
1.4
10.1
.2
.7
1.1
.7
.7
.2
8.2
.1
.8
9.4
2.7
1 7
2.5
2
25.2
.1
.3
67
'Because of rounding, the percentages may not add to total.
2Less than one-tenth of 1 percent.
3Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
••Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson
^Includes arson.
252
Table 55. — Suburban County Arrests, Distribution by Race, 1994
[1,179 agencies; 1994 estimated population 43.993,000]
Total arrests
Percent distribution1
Offense charged
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
1.871,745
U85.075
467,982
9,256
9.432
100.0
74.0
25.0
.5
.5
Murder and nonneghgent manslaughter
2.729
5,029
14,452
73,747
56,435
154,350
26,603
3,015
1.681
3.537
6.545
52.333
43.763
104.081
18,122
2.496
998
1.438
7.660
20.582
12.118
48,348
8,207
481
13
32
53
439
211
610
73
24
37
22
94
393
343
1,311
201
14
100.0
100.0
100.0
100.0
1000
100.0
100.0
100.0
61.6
70.3
46,0
71.0
77.5
67,4
68,1
82.8
36.6
28.6
53.0
27.9
21.5
31.3
30.8
16.0
5
6
,4
.6
.4
.4
.3
.8
1.4
.4
.7
.5
.6
8
8
.5
95,957
240,403
64,196
168,462
30,678
69,154
537
918
546
1,869
100.0
100.0
66.9
70.1
32.0
28.8
.6
.4
.6
.8
336,360
232,658
99,832
1,455
2.415
100.0
69.2
29.7
.4
.7
154,192
14.508
80,850
2.225
20,275
34.187
29,158
4.842
14,776
176,104
1,282
28,215
252,526
47,639
50.918
46.818
1.219
525.391
1.772
4.228
44,260
113.582
10.015
54,587
1,492
13,848
29.042
19,714
3,664
12,526
126,071
823
16,951
228.007
43,229
44,604
36.200
884
354.747
1,614
3,599
37,218
39.093
4,359
25,793
712
6,173
4.735
9,137
1.013
2.138
49,019
445
11,167
21.432
3.520
5.519
10.098
326
166,050
131
552
6.738
789
35
273
7
92
204
118
20
54
494
1
53
1.151
596
523
352
3
2,860
22
27
127
728
99
197
14
162
206
189
145
58
520
13
44
1.936
294
272
168
6
1.734
5
50
177
100.0
100.0
100.0
100.0
100.0
100.0
ioo.o
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
73.7
69.0
67,5
67.1
68.3
85.0
67.6
75.7
84.8
71.6
64,2
60 1
90.3
90.7
87.6
77.3
72.5
67.5
91 1
85.1
84.1
25 4
30.0
31.9
32.0
30.4
13.9
31.3
20.9
14.5
27.8
34.7
39.6
8.5
7,4
10,8
21.6
26.7
31.6
7,4
13.1
15.2
.5
2
.3
.3
.5
.6
.4
.4
.4
.3
.1
2
.5
1.3
1.0
.8
2
.5
1.2
.6
.3
.5
.7
.2
6
Stolen property; buying, receiving.
.8
.6
.6
3.0
Sex offenses (except forcible rape and
.4
.3
1.0
.2
Driving under the influence
.8
6
.5
4
.5
,3
,3
1.2
Runaways
.4
See footnotes at end of table
253
Table 55. — Suburban County Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests under 1 8
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
American
Indian
Alaskan
Native
Pacific-
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Property crime3
Crime Index total4
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 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
See footnotes at end of table.
287,102
337
853
4,036
10.709
22.382
47,320
10.657
1.530
15.935
81.889
97.824
23.702
866
1. 194
87
4.489
16.280
6,296
71
2.593
16,813
66
408
1,928
12.588
1.174
9,766
296
42.081
92
4,228
44,260
216,253
67,094
1,467
2088
75.3
161
566
1,716
6,603
18,111
33,188
7,097
1.310
164
274
2.260
3,932
4.004
13.319
3,398
201
10
5
44
102
184
596
126
IOO.O
1 00.0
100.0
100.0
100.0
100.0
100.0
100.0
47.8
66.4
42.5
61.7
80.9
70.1
66.6
85.6
9,046
59,706
6.630
20.922
98
347
161
914
IOO.O
100.0
56.8
72.9
68,752
27,552
445
1,075
100.0
16,324
705
845
66
3.025
14,186
4,268
44
2,104
11.973
15
333
1,806
11.963
1.041
6,963
231
30.714
78
3,599
37.218
7.078
153
332
19
1,360
1.883
1,930
24
472
4,699
51
74
103
426
110
2,683
63
10,778
14
552
6,738
130
170
6
10
2
126
72
1
9
138
14
71
61
9
49
2
307
27
127
50
177
100.0
100.0
100.0
ioo.o
100.0
100.0
100.0
100.0
100.0
100.0
100.0
ioo.o
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
68.9
81.4
70.8
75.9
67.4
87,1
67.8
62.0
81 I
71.2
22.7
81.6
93.7
95.0
88.7
71.3
78.0
73.0
84.8
85.1
84.1
23.4
48.7
32.1
56.0
36.7
17.9
28.1
31.9
13 1
41.6
25.5
29.9
17.7
27.8
21.8
30.3
11.6
30.7
33.8
18.2
27.9
77.3
18.1
5.3
3.4
9.4
27.5
21.3
25.6
15.2
13.1
15.2
3.0
.6
1.1
1.0
.8
1.3
1.2
.5
1.0
1.1
.7
.7
.8
2.3
1.8
.8
1.1
1.4
.5
.4
1.2
.4
254
Table 55. — Suburban County Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests 1 8 and over
While
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL .
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 .
Property crime1
Crime Index total4
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 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
1,584,643
2.392
4.176
10.416
63.038
34,053
107.030
15.946
1.485
80,022
158.514
130.490
13.642
79.656
2.138
15.786
17,907
22.862
4,771
12,183
159,291
1.216
27,807
250,598
35,051
49,744
37,052
923
483,310
1,680
1.168.822
400.8KS
100.0
1,520
2.971
4,929
45,730
25.652
70,893
11,025
1,186
834
1,164
5,400
16,650
8,114
35,029
4,809
280
II
24
37
367
128
393
37
13
27
17
50
291
159
715
75
6
100.0
100.0
ioo.o
100.0
100.0
100.0
100.0
100.0
63.5
71.1
47.3
72.5
75.3
66.2
69.1
79.9
55,150
108.756
24.048
48.232
439
571
385
955
100.0
100.0
68.9
68.6
163.906
72,280
1,010
97.258
9.310
53.742
1.426
10,823
14.856
15.446
3,620
10,422
114,098
808
16.618
226.201
31.266
43,563
29,237
653
324.033
1,536
32,015
4,206
25,461
693
4.813
2.852
7.207
1.666
44,320
394
11.093
21,329
3.094
5,409
7.415
263
155,272
117
659
33
266
7
70
119
92
18
49
420
1
52
1,142
458
509
281
3
2,578
22
558
93
187
12
80
80
117
46
453
13
44
1,926
233
263
119
4
1.427
5
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
100.0
100.0
100.0
100.0
100.0
74.5
68.2
67.5
66.7
68.6
83.0
67.6
75.9
85.5
71.6
66.4
59.8
90.3
89.2
87.6
78.9
70.7
67.0
91.4
34.9
27.9
51.8
26.4
23.8
32.7
30.2
18.9
30.1
30.4
24.5
30.8
32.0
32.4
30.5
159
31.5
20.7
13.7
27.8
32.4
39.9
8.5
10.9
20.0
28.5
32.1
7.0
II
.4
.5
.5
.5
.7
.5
.4
.5
.4
.5
3.0
.4
.3
1.1
.2
'Because of rounding, the percentages may not add to total
2Violent enmes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
4Includes arson.
255
Table 56.— Rural County Arrest Trends, 1993-1994
[1.725 agencies; 1994 estimated population 19,382.000; 1993 estimated population 19,085,000]
Number of persons arrested
Offense charged
Total all ages
Under 18 years o:
age
1 8 years of age and over
1993
1994
Percent
change
1993
1994
Percent
change
1993
1994
Percent
change
717,724
749,641
+4.4
83,399
96,725
+16.0
634,325
652,916
+2.9
1,304
2,666
2,225
26.445
27.234
41.012
7.090
1.223
1.153
2.547
2.222
26,580
26,401
41,620
7.037
1.265
-11.6
-4.5
-.1
+.5
-3.1
+ 1.5
-.7
+3.4
115
322
337
2,521
9.731
10.682
2,825
369
124
356
425
2.873
9,650
11,935
2.984
470
+7.8
+ 10.6
+26.1
+14.0
-.8
+ 11.7
+5.6
+274
1.189
2,344
1.888
23.924
17.503
30,330
4,265
854
1,029
2,191
1.797
23,707
16.751
29.685
4,053
795
-13.5
-65
4.8
-.9
-4.3
-2.1
-5.0
-6.9
32.640
76.559
32.502
76.323
-.4
-.3
3.295
23,607
3.778
25,039
+ 14.7
+6.1
29,345
52,952
28.724
51,284
-2.1
-3.2
109.199
108.825
-3
26.902
28,817
+7.1
82,297
80.008
-2.8
60.365
6.105
41,256
802
5.703
16.748
9.120
129
7.393
48.124
441
9.088
117.628
33.743
34.182
25.812
428
181.125
197
1.473
8.860
65.752
6,304
43,761
806
6.395
17.635
9.998
193
6.552
56,346
320
9.373
117,624
36.591
32.118
26.402
287
192.835
150
1.895
9.629
+8.9
+3.3
+6.1
+.5
+ 12.1
+5.3
+9.6
+49.6
-114
+ 17.1
-27.4
+3.1
4
+8.4
-6.0
+2.3
-32.9
+6.5
-23.9
+28.6
+8.7
5,931
321
556
31
988
6.483
1.224
7
1.318
2.730
13
285
1.165
8.774
587
3,285
63
12.403
44
1.473
8.860
7.359
460
694
63
1.236
7,391
1,510
5
1.206
4,479
7
313
1.337
10.271
759
4,326
59
14.909
64
1.895
9.629
+24.1
+43.3
+24.8
+103.2
+25.1
+ 14.0
+23.4
-28.6
-8.5
+64.1
-46.2
+9.8
+ 14.8
+ 17.1
+29.3
+31.7
-6.3
+20.2
+45.5
+28.6
+8.7
54,434
5,784
40.700
771
4.715
10,265
7,896
122
6.075
45,394
428
8.803
116.463
24.969
33,595
22,527
365
168,722
153
58,393
5,844
43,067
743
S.159
10,244
8.488
188
5,346
51,867
313
9.060
116,287
26.320
31.359
22,076
228
177.926
86
+7.3
+ 10
+5.8
-3.6
Stolen property;
+9.4
-.2
+7,5
+54.1
Sex offenses (except forcible
-12.0
+ 14.3
-26.9
+2.9
-.2
+5.4
-6.7
-2.0
-37.5
+5.5
-43.8
'Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assaull.
:Property cnmes are offenses of burglary, larceny- theft, motor vehicle theft, and arson.
Mncludes arson.
4Less than one-tenth of 1 percent.
256
Table 57.— Rural County Arrest Trends, Sex, 1993-1994
[1.725 agencies; 1994 estimated population 19.382.000; 1993 estimated population 19.085.000)
Offense charged
Males
Total
1994
Percent
change
Percent
change
Percent
change
Under 18
1993
1994
Percent
Change
Murder and nonnegligent manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 .
Property crime3
Cnme Index total4
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 family and children . .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . . .
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
589,055
1.135
2,632
2.035
22.968
24.821
31.741
6.122
1.054
28.770
63.738
50.104
4.068
21,471
493
5.002
14.772
8,553
62
7.037
40.728
385
7.873
102.921
26.576
30.356
20.966
331
149.843
165
943
4.063
609,703
+3.5
139.938
+8.8
22,587
995
2.511
2,020
22.883
24.154
31.746
5.987
1.103
-12.3
^».6
-.7
-.4
-2.7
-2.2
+4.6
101
315
321
2.134
8.873
8.569
2.313
324
110
347
409
2.372
8.857
9.430
2.379
415
+8.9
+10.2
+27.4
+ 11.2
_ 2
+ 10.0
+2.9
+28.1
169
34
190
3.477
2.413
9,271
968
169
158
36
202
3,697
2,247
9,874
1.050
162
-6.5
+5.9
+6.3
+6.3
-6.9
+6.5
+8.5
-4.1
14
7
16
387
858
2,113
512
45
28,409
62.990
-1.3
-1.2
2.871
20.079
3.238
21.081
+ 12.8
+5.0
3.870
12,821
4.093
13.333
+5.8
+4.0
424
3,528
16,691
3,952
54.041
4,021
23,139
508
5,562
15.430
9.291
103
6,228
47,436
280
8,077
102,489
28,717
28.290
21.000
242
157.847
131
1.233
4.370
+7.9
-1.2
+7.8
+3.0
+ 11.2
+4.5
+8.6
+66.1
-11.5
+16.5
-27.3
+2.6
-.4
+8.1
-6.8
+.2
-26.9
+5.3
-20.6
+30.8
+7.6
4.529
226
351
17
842
5.912
1.162
1.219
2.318
13
220
1,011
6,007
504
2,549
51
9,723
35
943
4.063
5.532
275
420
49
1.060
6.675
1.399
1.112
3.844
7
235
1.145
6.994
619
3.207
43
11,597
53
1.233
4.370
+22.1
+21.7
+ 19.7
+ 188.2
+25.9
+12.9
+20.4
-25.0
+65.8
-46.2
+6.8
+ 13.3
+ 16.4
+22.8
+25.8
-157
+ 19.3
+51.4
+30.8
+7.6
10.261
2.037
19.785
309
701
1.976
567
67
356
7.396
56
1.215
14.707
7.167
3.826
4.846
97
31.282
32
530
4,797
11.711
2.283
20,622
298
833
2,205
707
90
324
8,910
40
1.296
15.135
7,874
3.828
5,402
45
34,988
19
662
5,259
+ 14.1
+ 12.1
+4.2
-3.6
+ 11.6
+24.7
+34.3
-9.0
+20.5
-28.6
+6.7
+2.9
+99
+.1
+11.5
-53.6
+ 11.8
-40.6
+24.9
+9.6
1.402
95
205
14
146
571
62
99
412
65
154
2,767
83
736
12
2.680
9
530
4,797
14
9
16
501
793
2.505
605
55
540
3.958
1.827
185
274
14
176
716
111
94
635
78
192
3,277
140
1.119
16
3,312
II
662
5,259
+28.6
+29.5
-7.6
+18.6
+ 18.2
+22.2
+27.4
+12.2
+30.3
+94.7
+33.7
+20.5
+25.4
+79.0
-33.3
-5.1
+54.1
+20.0
+24.7
+ 18.4
+68.7
+52.0
+33.3
+23.6
+22.2
+24.9
+9.6
'Less than one-tenth of I percent.
2Violenl crimes are offenses of murder, torcible rape, robbery, and aggravated assault.
-'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
includes arson.
257
Table 58.— Rural County Arrests, Distribution by Age, 1994
(2,117 agencies; 1994 estimated population 21.460,000)
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
TOTAL
Percent distribution1
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property crime3
Percent distribution1
Crime Index total4
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 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
See footnotes at end of table.
815,225
100.0
1.282
2.788
2.412
29.618
28.517
45.278
7.615
1.427
36.100
100.0
82,837
100.0
118.937
1000
70.747
7,079
47,463
964
7,056
18.822
10,542
201
7,306
60.782
359
10.266
126,888
39.387
37,327
28.518
315
207.817
723
2.082
11,644
31,527
3.9
105.148
12.9
710,077
87.1
1,962
.2
7,165
.9
22,400
2.7
19,007
2J
25,327
3.1
29287
3.6
36,331
4.5
36,613
4.5
21
132
78
891
3,730
4.771
948
269
141
383
471
3.114
10.378
12.812
3,200
503
1.141
2.405
1.941
26.504
18,139
32,466
4,415
924
1
10
2
50
303
255
7
62
4
28
16
204
1,003
1.267
121
85
16
94
60
637
2,424
3,249
820
122
71
70
518
1,793
2.208
764
64
47
68
144
777
2,375
2,755
786
80
45
112
179
928
2.480
3.078
702
90
58
142
191
1,170
2,792
3.080
590
69
1.122
3.1
9,718
11.7
4,109
11.4
26.893
32.5
31.991
88.6
55,944
67.5
627
.8
252
.7
2.476
3.0
807
2.2
6.615
8.0
687
1.9
4,829
5.8
1,036
2.9
5,996
7.2
1.264
3.5
6,350
7.7
1.561
4.3
6,531
7.9
10,840
9.1
31.002
26.1
87.935
73.9
690
6
!.728
2.3
7,422
6.2
5.516
4.6
7,032
5.9
7.614
6.4
8.092
6.8
2,546
69
140
9
287
3,466
516
636
755
1
91
57
1,025
70
1.451
23
4.427
27
684
4.407
7.744
514
729
65
1.368
7.810
1.614
1.305
4.830
10
322
1.431
10.924
859
4.490
68
16.190
142
2,082
11,644
63,003
6.565
46,734
899
5.688
11.012
8.928
196
6.001
55.952
349
9,944
125,457
28.463
36.468
24.028
247
191,627
581
152
1
11
10
498
634
17
29
48
1,092
115
1,760
51
100
7
229
1.876
379
1.332
80
86
16
259
1.379
300
165
99
17
3
79
1
256
2
12
85
10
3
81
4
296
6
1,028
10
114
684
406
636
1
65
32
927
63
1.076
16
3.143
15
558
3.638
209
678
3
50
64
1.522
112
812
10
2,741
36
520
3.282
1.887
148
159
15
360
1,438
373
240
1,302
3
91
374
3.288
224
1,095
19
4,068
58
460
2,688
1.979
217
344
25
462
1.527
425
220
2,095
3
90
936
5,089
453
1.132
16
4.954
21
418
1.267
2.333
355
894
31
586
1,273
505
263
3,133
16
205
2,055
6,414
1.092
1.283
14
7.758
25
58
124
171
1,087
2,056
2.438
431
64
1,440
4.0
4.989
6.0
6,429
5.4
2.362
396
1,516
22
480
988
498
257
3.373
7
252
2,641
5,954
1.227
1 .230
8
8.940
30
33,998
4.2
63
111
133
1,087
1,449
2,055
292
41
1,394
3.9
3.837
4.6
5,231
4.4
2,297
346
1.792
31
389
735
411
214
3.228
6
271
3.207
4,528
1.230
1.043
10
9.007
16
258
Table 58. — Rural County Arrests. Distribution by Age, 1994 — Continued
Offense charged
Age
23
55-59
65 and
over
TOTAL
Percent distribution1
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Percent distribution1
Property cnme3 ....
Percent distribution '.
Cnme Index total4
Percent distribution'
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 family and children
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic). . .
Suspicion
Curfew and loitering law violations .
Runaways
30,922
3.8
62
88
114
1,076
1.165
1.636
244
1.340
3.7
3.087
3.7
4.427
37
2,503
361
2.015
33
343
642
396
8
208
2.760
3
293
4,076
1.275
1.359
1.110
4
9,090
16
30,303
3.7
30.392
3.7
29,341
3.6
123,704
15.2
123,581
15.2
93.778
11.5
60,366
7.4
35.222
4.3
20.112
2.5
11,004
1.3
58
96
119
1,012
1,059
1,553
242
34
52
106
120
I. Ill
854
1,475
214
38
39
87
87
1.002
766
1,308
192
187
401
379
4,665
2,927
5,292
737
138
168
423
292
4,837
2,368
4.763
635
139
128
305
163
3,808
1.422
3,509
410
119
109
202
100
2,351
690
2,259
209
72
78
122
47
1,399
320
1.243
102
52
83
14
824
117
700
49
36
24
50
8
456
74
423
31
18
1,285
3.6
2.888
3.5
1.389
3.8
2.581
3.1
1.215
3.4
2.294
5,632
156
9.094
11.0
5.720
158
7.905
9.5
4.404
12.2
5.460
6.6
2.762
7.7
3.230
3.9
1.646
4.6
1,717
2.1
949
2.6
902
1.1
538
1.5
546
.7
4,173
3.5
3.970
3.3
3.509
3.0
14.726
124
13.625
11.5
9,864
8.3
5.992
5.0
3,363
2.8
1.851
1.6
1.084
.9
2.573
350
2.121
34
287
571
418
2,820
2
298
4,179
868
1.356
1,042
13
8,984
21
2.610
350
2,222
29
330
517
398
180
2.673
8
368
4,547
765
1,255
1,095
23
9.022
27
2.595
340
2.114
30
266
494
367
159
2.606
2
380
4,658
622
1,305
1,007
14
8,847
18
11.844
1.326
9.315
145
1,008
1,854
1.543
34
821
10.476
31
1.826
20.427
2.108
5.804
4,064
38
36.181
133
11,864
1.107
8.565
146
767
1 .566
1.514
50
935
10.409
45
2.209
23.174
1.924
6.448
4.289
51
34.775
118
9.135
817
6.498
144
561
1.073
1.028
21
834
7.306
42
1.725
19.538
1.549
5.540
3,197
27
24.810
69
5,664
417
4,409
103
334
530
767
13
589
3,951
51
1,115
14,244
956
3.962
1,895
12
15.323
39
3.131
192
2.503
41
167
324
434
20
423
1.882
39
527
9.261
560
2,472
1,193
13
8.645
32
1,812
107
1,310
48
83
195
261
307
760
31
234
5.791
410
1.484
682
12
4.713
13
1,019
55
620
35
52
110
177
199
313
24
129
3,295
215
889
346
6,695
.8
11
34
1
264
32
273
12
19
310
.9
336
,4
646
.5
563
20
385
10
22
52
92
192
130
12
52
2,150
140
534
265
3
1.413
10
7,715
.9
355
48
459
25
15
406
1.1
547
.7
698
26
455
17
232
132
30
60
2.214
175
511
287
3
1,691
6
'Because of rounding, the percentages may not add to total.
-Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
■includes arson.
259
Table 59.— Rural County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1994
[2,117 agencies; 1994 estimated population 21,460,000]
Total all
ages
Number of persons arrested
Percent of total all ages
Offense charged
Under
15
Under
18
Under
21
Under
25
Under
15
Under
18
Under
21
Under
25
815,225
31427
105,148
212,090
333,048
3.9
12.9
26.0
40.9
1,282
2.788
2.412
29.618
28,517
45,278
7,615
1,427
21
132
78
891
3,730
4,771
948
269
141
383
471
3,114
10,378
12,812
3.200
503
320
760
966
6.458
16.675
20.385
4,513
677
531
1.137
1.406
10,659
20.519
26,357
5,405
819
1.6
4.7
3.2
3.0
13.1
10.5
12.4
18.9
11.0
13.7
19.5
10.5
36.4
28.3
42.0
35.2
25.0
27.3
40.0
21.8
58.5
45.0
59.3
47.4
41.4
40.8
58.3
36.0
72.0
58.2
71.0
57.4
36,100
82,837
1,122
9,718
4.109
26.893
8.504
42,250
13.733
53.100
3.1
11.7
11.4
32.5
23.6
51.0
38.0
64.1
118.937
10,840
31.002
50.754
66.833
9.1
26.1
42.7
56.2
70.747
7,079
47.463
964
7,056
18.822
10,542
201
7,306
60,782
359
10,266
126,888
39,387
37,327
28.518
315
207.817
723
2.082
11,644
2,546
69
140
9
287
3,466
516
7,744
514
729
65
1.368
7,810
1.614
5
1,305
4.830
10
322
1.431
10,924
859
4,490
68
16,190
142
2,082
11.644
14,736
1,611
4.931
149
2.823
10.806
3.028
18
2,039
14,564
39
1,050
9,334
27,820
4,408
8,046
100
41,895
213
2.082
11.644
25.017
3,012
13.403
275
4.049
13.030
4.607
42
2.774
25.423
54
2,389
26,794
31,350
9.683
12.300
154
77.838
295
2.082
11.644
3.6
1.0
.3
.9
4.1
18.4
4.9
A
8.7
1.2
.3
.9
2.6
.2
5.1
7.3
2.1
3.7
32.9
37.8
109
7.3
15
6.7
19.4
41.5
15.3
2.5
17.9
7.9
2.8
3.1
1 1
27.7
2.3
157
21.6
7.8
196
100.0
100.0
20.8
22.8
10.4
15.5
40.0
57.4
28.7
9.0
27.9
24.0
10.9
10.2
7.4
70.6
11.8
28.2
31.7
20.2
29.5
100.0
100.0
35.4
42.5
28.2
28.5
57.4
69.2
43.7
20.9
Sex offenses (except forcible rape
636
755
1
91
57
1,025
70
1.451
23
4.427
27
684
4.407
38.0
41.8
15.0
23.3
21.1
79.6
25.9
43.1
48.9
37.5
40.8
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
2Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
^Includes arson.
4Less than one-tenth of 1 percent.
260
Table 60.— Rural County Arrests, Distribution by Sex, 1994
[2,117 agencies; 1994 estimated population 21,460,000]
Offense charged
Number of persons arrested
Male
Percent
male
Percent
female
Percent distribution1
Total
Male
TOTAL .
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' . .
Property crime4
Crime Index total5 .
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 family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic). . .
Suspicion
Curfew and loitenng law violations .
Runaways
815,225
1,282
2.788
2.412
29,618
28,517
45,278
7.615
1.427
36.100
82,837
118.937
70.747
7.079
47.463
964
7,056
18,822
10.542
201
7,306
60.782
359
10,266
126.888
39,387
37.327
28.518
315
207.817
723
2,082
11,644
662,551
152.674
81J
18.7
1.105
2,749
2.194
25.464
26.085
34,515
6.493
1,239
177
39
218
4,154
2,432
10,763
1.122
188
86.2
98.6
91.0
86.0
91.5
76.2
85.3
86.8
13.8
1.4
9.0
14.0
8.5
23.8
14.7
13.2
31.512
68,332
4,588
14,505
87.3
82.5
12.7
17.5
99.844
19,093
83.9
16.1
58.072
4,497
25,102
617
6.150
16,483
9,809
106
6,964
51.254
312
8,832
1 10.552
30,866
32,822
22.709
265
170.044
629
1.359
5.263
12,675
2,582
22.361
347
906
2.339
733
95
342
9,528
47
1.434
16,336
8,521
4,505
5,809
50
37,773
94
723
6,381
82.1
63.5
52.9
64.0
87.2
87.6
93.0
52.7
95.3
84.3
86.9
86.0
87 1
78.4
87.9
79.6
84.1
81.8
87.0
65.3
45.2
17.9
36.5
47 .1
36.0
12.8
12.4
7.0
47.3
4.7
15.7
13 1
14.0
12.9
21.6
12 1
20.4
15.9
18.2
130
34.7
54.8
.2
.3
.3
3.6
3.5
5.6
.9
.2
4.4
10.2
8.7
.9
5.8
.1
.9
2.3
1.3
9
7.5
2
1.3
15.6
4.8
4.6
3.5
25.5
.1
.3
1.4
.4
.3
3.8
3.9
5.2
1.0
.2
4.8
10.3
15.1
.7
3.8
.1
.9
2.5
1.5
1.1
7.7
1.3
16.7
4.7
5.0
3.4
2
257
.1
.2
100.0
.1
2.7
16
7.0
.7
.1
3.0
9.5
12.5
8.3
1.7
14.6
.2
.6
1.5
.5
.1
.2
6.2
2
.9
10.7
5.6
3.0
3.8
2
24.7
.1
.5
4.2
■Because of rounding, the percentages may not add to total.
2Less than one-tenth of 1 percent.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
261
Table 61. — Rural County Arrests, Distribution by Race, 1994
[2,113 agencies; 1994 estimated population 21,420,000]
Offense charged
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
Black
American
Indian
Alaskan
Native
Pacific
[slander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Property crime3
Crime Index total4
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 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
See footnotes at end of table.
1,282
2.781
2,409
29,558
28.408
45.135
7,595
1,424
36,030
82.562
70.630
7.052
47,340
961
7,045
18,791
10.527
201
7,284
60,657
359
10,232
121.721
39.288
37,225
28.499
315
207.282
720
2,082
11.627
24,196
9,556
864
2,142
1,119
21,588
23,110
35,566
6,175
1.196
362
508
1.176
6,770
4,017
7,772
961
191
46
103
64
1.091
914
894
316
32
10
28
50
109
367
903
143
5
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
67.4
77.0
46.5
73.0
81.4
78.8
81.3
84.0
25,713
66,047
8,816
12,941
1.304
2.156
197
1,418
100.0
100.0
71.4
80.0
21,757
3,460
53,619
5,238
35,076
804
5,605
16.000
8,011
155
6.352
47,732
202
7.082
108.192
35,870
33,110
23.486
228
157.946
429
1.189
9,942
13,720
1.680
11.645
133
1.244
2,081
2,177
32
623
11,346
70
2,498
8,615
1.561
2,641
3,692
67
39.877
268
114
809
2.227
81
478
6
168
480
249
264
997
1
533
4.022
1.541
1.405
1.149
18
6,646
23
130
318
1,064
53
141
18
28
230
90
45
582
86
119
892
316
69
172
2
2.813
649
558
100.0
100.0
100.0
100.0
100.0
100.0
100.0
loo.o
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
75.9
74.3
74.1
83.7
79.6
85.1
76.1
77.1
87.2
78.7
56.3
69.2
88.9
91.3
88.9
82.4
72.4
76.2
59.6
57.1
85.5
28.2
18.3
48.8
22.9
14.1
17.2
12.7
13.4
24.5
15.7
19.4
23.8
24.6
13.8
17.7
111
20.7
15.9
8.6
18.7
195
24.4
7.1
4.0
7.1
13.0
21 3
19.2
37.2
5.5
7.0
VII
3.6
3.7
2.7
3.7
3.2
2.0
4.2
2.2
3.6
2.6
3.2
1.1
1.0
.6
2.4
2.6
2.4
1.2
1.0
2.1
.4
1.3
2.0
1.9
.4
.5
1.7
.3
1.9
.4
1.2
.9
7.0
3.6
.6
1.6
1.0
.3
24.0
5.2
1.2
3.3
.7
3.9
.8
3.8
.2
4.0
.6
5.7
.6
3.2
1.4
3?
6.2
31.2
2.7
4.8
262
Table 61. — Rural County Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arresls under 18
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
Black
Amencan
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2
Property crime3
Crime Index total4
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 I
Drug abuse violations
Gambling
Offenses against 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
See footnotes at end of table.
141
382
469
3.110
10.363
12.786
3,193
500
4,102
26,842
7.727
514
729
65
1,367
7,799
1,614
1.300
4,828
10
322
1.389
10.900
859
4,490
68
16,154
142
2.082
11,627
11,897
3,784
3.172
89
302
190
2.117
8,754
10.629
2,637
440
2.698
22.460
5.532
452
605
56
1.134
6.981
1,217
1,114
3,754
3
259
1,293
10,210
799
3.578
52
12.669
80
1.189
9.942
45
53
249
838
964
1.337
308
45
5
26
12
139
461
334
164
14
18
16
184
486
84
1
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
63.1
79 1
40.5
68.1
84.5
83.1
82.6
88.0
1,185
2.654
182
973
37
755
100.0
100.0
65.8
83.7
3.839
1.155
1.611
50
103
6
175
499
338
370
6
7
50
177
44
214
6
14
3
129
770
7
31
42
132
31
730
8
2,427
46
114
809
50
128
7
176
15
38
449
27
144
7
653
16
130
318
38
1
405
649
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
100.0
100.0
100.0
100.0
100.0
100.0
100.0
71.6
87.9
83.0
86.2
83.0
89.5
75 4
100.0
85.7
77.8
30.0
80.4
93.1
93.7
93.0
79.7
76.5
78.4
56.3
57.1
85.5
31.9
13 9
53.1
26.9
9.3
105
9.6
9.0
28.9
9.9
20.8
9.7
14 I
9.2
6.4
20.9
9.9
15.9
70.0
96
3.0
1.2
3.6
16.3
118
15.0
32.4
5.5
7.0
3.6
3.5
6.8
2.6
4.5
4.4
2.6
5.1
4.4
3.6
4.8
1.2
1.0
4.7
2.7
4.1
3.1
3.2
10.3
4.0
11.3
6.2
2.7
1.4
.3
3.8
.5
1.8
3.8
2.6
2.8
1.2
1.9
4.6
.5
3.6
5.3
1.2
1.0
.2
1.5
2.5
31.2
4.8
263
Table 61. — Rural County Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests 18 and over
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution1
Total
White
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL .
Murder and nonneghgent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 . .
Property crime* .
Crime Index total4 -
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 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
703,495
1.141
2.399
1,940
26.448
18.045
32.349
4,402
924
31.928
55,720
62.903
6,538
46.611
896
5.678
10,992
8.913
196
5,984
55.829
349
9,910
120.332
28,388
36,366
24,009
247
191.128
578
561.946
114,753
20,412
6,384
100.0
79.9
775
1,840
929
19.471
14.356
24.937
3,538
756
317
455
927
5,932
3,053
6.435
653
146
41
77
52
952
453
560
152
18
27
32
93
183
417
59
4
100.0
1 00.0
100.0
100.0
100.0
100.0
loo.o
100.0
67.9
76.7
47.9
73.6
79.6
77 1
80.4
81.8
23.015
43.587
7,631
10.287
1,122
1.183
160
663
100.0
100.0
72.1
78.2
100.0
76.0
48,087
4.786
34.471
748
4.471
9,019
6.794
150
5.238
43.978
199
6.823
106.899
25.660
32,311
19,908
176
145.277
349
12.109
1,630
11.542
127
1.069
1.582
1,839
32
494
10.576
63
2.467
8.573
1.429
2,610
2,962
59
37,450
222
1,857
75
471
6
118
303
205
214
869
1
518
3,984
1,092
1.378
1.005
II
5.993
7
850
47
127
15
20
38
406
86
102
876
207
67
134
1
2,408
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
100.0
100.0
ioo.o
1 00.0
100.0
76.4
73.2
74.0
83.5
78.7
82.1
76.2
76.5
875
78.8
57.0
68.8
90.4
88.8
82.9
71.3
76.0
60.4
16.3
27.8
19.0
47.8
22.4
16.9
19.9
14.8
15.8
23.9
18.5
20.4
19.3
24.9
24.8
14.2
18.8
144
20.6
16.3
8.3
18.9
18.1
24.9
7.1
5.0
7.2
12.3
23.9
19.6
38.4
3.6
1.6
.3
5.2
3.3
3.8
3.8
4.2
4.5
3.1
1.2
.7
1.1
1.6
.4
1.0
1.3
1.3
4
.5
1.2
1.4
.7
.3
1.7
7 1
.6
.7
24.6
1.0
.7
.7
.2
.6
.4
1.3
'Because of rounding, the percentages may not add to total.
2Violeni crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
3Property crimes are offenses of burglary, larceny-lheft, motor vehicle theft, and arson.
4Includes arson.
264
Table 62.— Suburban Area1 Arrest Trends, 1993-1994
[4,480 agencies; 1994 estimated population 78.290,000; 1993 estimated population 79,569,000]
Offense charged
Number of persons arrested
Total all ages
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Percent
change
TOTAL.
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2.
Property crime1.
Crime Index total4
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 family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . .
Suspicion (not iccluded in totals) .
Curfew and loitering law violations
Runaways
3,601,998
7.346
3,557,141
4,148
3.675
8.923
8.183
27.548
27.655
127.186
126,554
106.803
99.775
377.896
375,399
45.407
44,588
5.456
5.770
167.805
166.067
535.562
525.532
278.275
292,882
28.393
27.609
129.157
118,521
3.583
3,661
43.217
42.317
81.447
81.758
60,277
58.000
7,662
26,816
24.272
258,363
306.631
2.376
1.854
40.024
39,095
484.357
449,133
132.024
128.310
160.002
140.041
167.846
160.535
3.941
4.058
925.383
907.205
1.846
1,595
21.123
24,285
44,681
47,713
617,583
662,687
2,984,415
2.894,454
-11.4
-8.3
+.4
-.5
-6.6
-.7
-1.8
+5.8
535
1.626
7.264
20.144
40.673
122.605
20.030
2.878
524
1.482
8,743
20.983
41.003
129.030
19.444
3.489
-2.1
-8.9
+20.4
+4.2
+.8
+5.2
-2.9
+21.2
3.613
7.297
20,284
107.042
66.130
255.291
25.377
2.578
29.569
186.186
31.732
192.966
+7.3
+3.6
138.236
349.376
215,755
224,698
487.612
+5.2
-2.8
-8.2
+2.2
-2.1
+.4
-3.8
-9.5
+ 18.7
-22.0
-2.3
-7.3
-12.5
-4 4
+3.0
-2.0
-13.6
+ 15.0
+6.8
49.424
54,989
2,032
2.085
2,346
2,617
184
229
12.015
11.898
42,184
43,355
15,526
15.335
152
5.556
4,787
24,739
38,465
167
196
1.414
1,210
3.879
4,270
33.413
35.256
4.295
4,200
39.923
42,506
987
1.142
97,776
103,299
657
535
21.123
24,285
44.681
47,713
+ 11.3
+2.6
+ 116
+24.5
-1.0
+2.8
-1.2
-7.3
-13.8
+55.5
+ 17.4
-14.4
+ 10.1
+5.5
-2.2
+6.5
+ 157
+5.6
-18.6
+ 15.0
+6.8
228.851
26.361
126,811
3,399
31,202
39,263
44.751
7.182
21.260
233.624
2,209
38.610
480,478
98.611
155.707
127.923
2.954
827.607
1.189
3.151
6.701
18.912
105.571
58,772
246.369
25,144
2,281
134,335
332.566
237.893
25.524
115.904
3,432
30,419
38,403
42,665
7,510
19,485
268,166
1.658
37,885
444,863
93,054
135.841
118.029
2.916
803.906
1,060
-12.8
-8.2
-6.8
-1.4
-II 1
-3.5
-.9
-115
-2.8
-4.8
+4.0
-3.2
-8.6
+ 10
-2.5
-8.3
+ 14.8
-24.9
-1.9
-7.4
-5.6
-12.8
-7.7
-1.3
-2.9
-10.8
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
-Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
■•Includes arson.
265
Table 63.— Suburban Area1 Arrest Trends, Sex, 1993-1994
[4,480 agencies; 1994 estimated population 78,290,000; 1993 estimated population 79.569.000]
Offense charged
Males
Total
Percent
change
Percent
change
Females
Percent
change
Percent
change
TOTAL.
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 .
Property crime3
Crime Index total4 .
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 family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . . .
Suspicion (not included in totals) . . .
Curfew and loitering law violations .
Runaways
2.853.246
477454
508.641
700,657
703,895
+ .5
3.732
8,820
25,297
108.603
96.809
256.120
39,850
4,699
146.452
397.478
226.177
18.236
69.299
2.151
37.438
72.295
55,376
3,749
24.967
215,173
2.060
34,703
415,014
105.970
142.027
135.490
3,386
758.467
1.566
15.486
19.947
3.293
8.099
25.250
107.329
90.147
251.596
38.905
4.974
-11.8
-8.2
-.2
-1.2
-69
-1.8
-2.4
+5.9
502
1.603
6.716
16,864
36.980
88.096
17.116
2,521
491
1 .452
8.013
17.448
37.352
90.870
16,508
3.054
-2.2
-9.4
+ 19.3
+3.5
+ 1.0
+3.1
-3.6
+21.1
416
103
2.251
18,583
9.994
121,776
5,557
757
382
84
2,405
19,225
9,628
123,803
5,683
796
-18.4
+6.8
+3.5
-3.7
+ 1.7
+2.3
+5.2
33
23
548
3.280
3,693
34.509
2,914
357
143.971
385.622
-17
-3.0
25.685
144,713
27,404
147.784
+6.7
+2 1
21.353
138,084
22.096
139.910
+3.5
+ 1.3
3,884
41.473
159.437
162,006
45.357
236.437
17.719
64.441
2.187
36.471
72.362
53.017
3.761
22.784
255,431
1,597
33,979
384,402
101.953
123.380
129.118
3.365
742,737
1,344
17,590
20,922
+4.5
-2.8
-7.0
+ 1.7
-2.6
+ 1
-4.3
-8.7
+ 18.7
-22.5
-2.1
-7.4
-3.8
-13.1
-4.7
-.6
-2.1
-14.2
+13.6
+4.9
37.171
1,334
1.569
111
10,650
38.269
14.387
98
4.980
21,490
164
917
3,325
24,224
3,597
31.461
805
77.171
529
15.486
19,947
41.219
1.410
1.740
162
10,542
39,225
14,166
87
4,478
33.210
186
806
3.660
25.323
3,511
33,309
904
81,003
444
17,590
20,922
+ 109
+5.7
+10.9
+45.9
-1.0
+2.5
-1.5
-11.2
-10.1
+54.5
+ 13.4
■12 1
+ 10.1
+4.5
-2.4
+5.9
+ 12 3
+5.0
-16.1
+ 13.6
+49
52.098
10.157
59.858
1,432
5.779
9.152
4,901
1,849
43,190
316
5,321
69,343
26,054
17.975
32.356
555
166.916
280
5.637
24.734
56.445
9,890
54,080
1,474
5.846
9,396
4.983
3,901
1,488
51.200
257
5,116
64,731
26.357
16.661
31.417
693
164.468
251
6,695
26,791
+8.3
-2.6
-9.7
+2.9
+ 1.2
+2.7
+ 1.7
+8.5
-19.5
+ 18.5
-18.7
-3.9
-6.7
+ 1.2
-7.3
-2.9
+24.9
-1.5
-10.4
+ 18.8
+8.3
12.253
698
777
73
1.365
3,915
1.139
66
576
3.249
497
554
9.189
698
8,462
182
20.605
128
5,637
24,734
154.046
33
30
730
3,535
3,651
38,160
2,936
435
4,328
45.182
49.510
13.770
675
877
67
1.356
4,130
1.169
65
309
5,255
10
404
610
9.933
689
9.197
238
22,296
91
6,695
26,791
+30.4
+33.2
+7.8
-1.1
+ 10.6
+.8
+21.8
+ 114
+8.9
+ 12.4
-3.3
+12.9
-8.2
-.7
+5.5
+2.6
-1.5
^46.4
+61.7
+233.3
-18.7
+ 10.1
+8.1
-1.3
+8.7
+30.8
+8.2
-28.9
+ 18.8
+8.3
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
3Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
4Includes arson.
266
Table 64. — Suburban Area1 Arrests, Distribution by Age, 1994
[5,414 agencies 1994 estimated population 87,934.000]
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
Age
Under
10
10-12
TOTAL
Percent distribution2
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3
Percent distribution2
Property cnmeJ
Percent distribution3
Crime Index total5
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 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
See footnotes at end of table.
4.171,783
100.0
285,743
6.8
804,462
19.3
3,367,321
80.7
14.055
64,078
1.5
207,610
5.0
158.212
3.8
177,936
4.3
182.571
4.4
187,476
4.5
179,908
4.3
160,717
3.9
4,283
9,473
32.408
146,113
114,357
441.689
49,572
6.668
71
635
2,817
8.185
18,788
66,255
6.363
2.698
610
1.688
10.180
24,276
47,045
152.915
21,846
4.013
3,673
7,785
22,228
121.837
67.312
288.774
27,726
2,655
32
56
412
1.179
3.049
59
420
140
505
1,867
4,393
17,955
719
915
63
463
2.256
5.906
13,216
45.251
5.585
1.363
107
323
2,091
4.660
9.206
28.336
5.502
552
198
352
2,530
5.387
9.744
29.777
5,440
430
234
378
2.742
6.044
9.307
28.547
4.541
333
311
437
2,593
5.823
8,124
24,363
3,535
229
290
365
2,061
5,486
6,069
19,149
2,566
203
265
388
1,589
5,005
4,443
14,544
1.947
130
192.277
100.0
612.286
100.0
11.708
6.1
94.104
15.4
36,754
19.1
225.819
36.9
155,523
80.9
386.467
63.1
500
.3
4,707
2.520
1.3
23.982
3.9
4.5
65.415
10.7
7.181
3.7
43.596
7.1
8.467
4.4
45.391
7.4
9.398
4.9
42.728
7.0
9,164
4.8
36,251
5.9
8,202
4.3
27.987
4.6
7,247
3.8
21.064
3.4
804.563
1000
105.812
13.2
262.573
32.6
541.990
67.4
5,207
.6
26.502
3.3
74,103
9.2
50.777
6.3
53,858
6.7
52.126
6.5
45.415
5.6
36,189
4.5
28.311
3.5
342.105
32,633
135.081
4,114
49,471
95,595
67,151
9.554
27.777
350.472
2.357
45,575
509.830
149.668
179,466
201,511
4,932
1.043,774
3.493
29,567
83,094
26,621
301
547
32
4.155
24,097
6,234
25
2,739
7.146
50
584
153
4,045
736
18,506
355
38,294
240
9.004
36.067
64.023
2,487
3,082
249
13.968
49.874
17,961
198
5.451
44.235
244
1.654
4.817
40,532
5.364
51,904
1.272
121.153
760
29.567
83,094
278.082
30,146
131.999
3,865
35.503
45,721
49.190
9,356
22,326
306.237
2,113
43.921
505.013
109.136
174,102
149,607
3,660
922.621
2,733
1.439
14
64
1
101
2.383
207
85
1
48
52
57
35
780
11
2.281
25
154
881
6,940
59
112
4
722
6,965
1,347
755
809
7
97
18
304
53
4,159
64
7.898
48
1.282
5,929
IS, 242
371
27
3,332
14.749
19
1.777
6.252
42
439
83
3,684
648
13.567
280
28,115
167
7.568
29,257
11.984
366
444
18
2,905
8.802
29
968
7,879
30
321
230
5.876
862
10,318
245
23,908
187
7,065
21,569
12,889
754
765
63
3,315
8.985
60
849
12,422
67
376
1,195
11.854
1,436
11.448
310
27.839
138
7.913
17.434
12.529
1,066
1,326
136
3,593
7,990
4,332
84
895
16.788
97
373
3,239
18,757
2,330
11,632
362
31.112
195
5,585
8.024
10.991
1,501
2,873
190
3.651
5.782
164
831
21.260
67
845
7,284
25,123
4,347
10.787
300
41.410
147
10.627
1,648
4,535
222
2,960
4.174
794
20.006
80
904
10,299
23.791
4,797
9,167
270
45.453
129
9.976
1.557
5,261
202
2,335
3.049
231
723
17,242
91
986
12.508
17.982
5,109
7,991
202
43.922
99
267
Table 64. — Suburban Area1 Arrests, Distribution by Age, 1994 — Continued
Offense charged
Age
25-29
30-34
35-39
55-59
60-64
TOTAL
Percent distribution2 .
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3
Percent distribution2.
Property crime4 ....
Percent distribution2.
Crime Index lotai5 . .
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 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
148,247
3.6
200
317
1,258
5,115
3.350
11,354
1,476
110
6.890
3.6
16.290
2.7
23,180
2.9
11,358
1,415
6.130
193
1.929
2.210
2.779
312
781
14.868
44
1,376
19.348
3,539
6.424
7,704
161
44,394
102
150,741
3.6
143,378
3.4
619,543
14.9
594,675
14 J
443,726
10.6
267,954
6.4
148,226
3.6
78,061
1.9
40,857
1.0
24,170
.6
183
345
1,207
5,246
3,345
11.454
1,408
102
169
312
1,068
4,965
2,793
10.789
1,312
81
594
1,368
4,136
23,090
12,020
48.656
5,204
406
424
1.361
3,320
22.697
10,470
48,052
4,053
454
369
1,069
2.013
17,174
6,881
36,393
2,385
319
235
614
933
10,137
3,609
22,362
1,194
203
154
372
370
5,506
1,451
12.388
550
150
95
187
138
2.853
607
6.310
233
84
41
111
38
1.596
243
3.696
85
35
6,981
3.6
16,309
2.7
6,514
3.4
14.975
2.4
29.188
15.2
66,286
10.8
27,802
14.5
63.029
10.3
20,625
10.7
45.978
7.5
11.919
6.2
27,368
4.5
6,402
3.3
14,539
2.4
3,273
1.7
7,234
1.2
1.786
.9
4,059
.7
23,290
2.9
21,489
2.7
95.474
11.9
90,831
11.3
66,603
8.3
39,287
4.9
20.941
2.6
10,507
1.3
5.845
.7
11.920
1,453
6.582
169
1.757
2.264
2.589
381
780
14,821
71
1.519
21.177
2,863
6,284
7,346
155
45,212
108
11.987
1,408
6.356
176
1,554
1,963
2,280
410
721
13,872
60
1,709
20.985
2,285
6,031
6,531
135
43.311
115
54.217
6.347
27,343
726
6.559
7,757
8,420
2.048
3.515
59,142
237
8,560
94.216
8,180
27.838
25,838
595
182,039
492
54.829
5,827
24.514
654
5.358
6,573
6.790
2.102
3.814
55,696
212
9,849
95.985
6.977
31,935
24,325
606
167.285
513
41,011
3.883
18.470
480
3,545
4.296
4,909
1.438
3,119
38.679
221
7,904
76,476
5.436
27,525
17.926
470
120,938
397
23.549
1.980
11,335
297
1.989
2,409
795
2.170
20,315
218
4,670
51,961
3.482
19.567
10.523
256
69,862
266
12.764
1,029
6.603
200
907
1,198
402
1,493
8,672
163
2.329
33,341
2,065
11,845
5.859
161
36,229
143
6,581
402
3,104
97
446
603
219
996
3.306
168
1.080
19,388
1,227
7,143
3,203
94
18,292
64
3.269
175
1,478
39
222
305
140
628
1,353
129
508
10,769
694
3,804
1.713
43
9,167
25
42
69
34
915
97
2.487
54
31
1,060
6
2,669
4
3,729
5
1.931
74
820
21
113
170
450
536
166
249
6.580
383
2.504
1.030
16
4,923
24
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
2Because of rounding, the percentages may not add to total.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
4Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
268
Table 65. — Suburban Area' Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1994
[5.414 agencies; 1994 estimated population 87,934,000]
Offense charged
Total
all ages
Number of persons arrested
Under 18
Under 21
Under 25
Percent of total all ages
Under 15
Under 18
Under 21
Under 25
Murder and nonnegligent manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime2 -
Property crime'
Crime Index total"4 .
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 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
4,283
9,473
32.408
146.113
114,357
441,689
49,572
6,668
192,277
612,286
342,105
32,633
135.081
4.114
49.471
95,595
67,151
9.554
27.777
350.472
2,357
45.575
509.830
149,668
179,466
201.511
4,932
1.043,774
3,493
29,567
83,094
285,743
804,462
1J32,563
1,926,569
6.8
71
635
2,817
8,185
18.788
66.255
6,363
2.698
610
1,688
10.180
24.276
47.045
152,915
21.846
4.013
1.476
2.878
16,423
40.590
65.681
210.971
29,894
4,575
2.288
4.218
21,387
61.059
78.829
257,109
35.744
4.959
1.7
6.7
8.7
5 6
16.4
15.0
12.8
40.5
11.708
94.104
36,754
225,819
61.367
311.121
88.952
376.641
6.1
15.4
465,593
13.2
26,621
301
547
32
4,155
24,097
6,234
25
2,739
7,146
50
584
153
4,045
736
18,506
355
38,294
240
9,004
36.067
64,023
2,487
3,082
249
13,968
49,874
17,961
198
5.451
44.235
244
1,654
4,817
40,532
5.364
51,904
1,272
121,153
760
29,567
83,094
95,617
7,193
15,751
863
22,914
62.879
29,049
816
7,799
102.743
482
4,389
34,908
107,428
19,617
79.849
2.044
251.938
1.135
29,567
83,094
141,773
12,842
40.559
1,580
30,204
72,009
39,641
2,201
10,823
162,234
727
10.215
1 14,628
120.765
44,914
109,777
2.663
429.203
1,557
29,567
83,094
.9
.4
.8
8.4
25.2
9.3
.3
9.9
2.0
2.1
1.3
2.7
.4
9.2
7.2
3.7
6.9
30.5
43.4
14.2
17.8
31.4
16.6
41.1
34.6
44.1
60.2
19.1
36.9
32.6
18.7
7.6
2.3
6 1
28.2
52.2
26.7
2.1
19 6
12.6
10 4
3.6
.9
27.1
3.0
25.8
25.8
11.6
21.8
100.0
100.0
31.9
34.5
30.4
50.7
27.8
574
47.8
60.3
68.6
31.9
50.8
27.9
22.0
11.7
21.0
46.3
65.8
43.3
8.5
28.1
29.3
20.4
9.6
6.8
71.8
10.9
39.6
41.4
24.1
32.5
100.0
100.0
46.2
53.4
44.5
66.0
41.8
68.9
58.2
72.1
74 4
46.3
61.5
41 4
39.4
30.0
38.4
61 1
75.3
59.0
23.0
39.0
46.3
30.8
22.4
22.5
80.7
25.0
54.5
54.0
41.1
44.6
100.0
100.0
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
2Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
-'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
■•Includes arson.
5Less than one-tenth of 1 percent.
269
Table 66. — Suburban Area1 Arrests, Distribution by Sex, 1994
(5.414 agencies; 1994 estimated population 87,934,000]
Offense charged
Number of persons arrested
Male
Female
Percent
male
Percent
female
Percent distribution2
TOTAL.
Murder and nonnegltgent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime4 .
Property crime5
Crime Index total'*
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 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
4,171,783
4,283
9,473
32,408
146.113
114,357
441,689
49,572
6,668
192,277
612,286
804,563
342,105
32,633
135.081
4.114
49.471
95.595
67,151
9,554
27.777
350,472
2,357
45.575
509.830
149.668
179.466
201.511
4.932
1.043.774
3,493
29.567
83.094
3,329,404
842.379
79.8
20.2
3.852
9,371
29.560
123.464
103,387
295,300
43,142
5.746
431
102
2,848
22,649
10,970
146,389
6.430
922
89.9
98.9
91 2
84.5
90.4
669
87.0
86.2
10.1
11
8.8
15.5
9.6
33.1
13.0
13.8
166.247
447.575
26.030
164,711
86.5
73.1
13.5
26.9
613,822
190.741
76.3
275.814
20.764
73,608
2,455
42.534
84,340
61,313
4,612
26.118
292,196
2,041
39,239
435.726
118.695
158,183
161.270
4.136
851,762
3,007
21,458
36,311
66.291
11.869
61,473
1,659
6,937
11.255
5.838
4,942
1.659
58.276
316
6,336
74.104
30,973
21,283
40.241
796
192,012
486
8,109
46.783
80.6
63.6
54.5
59.7
86.0
88.2
91 .3
48.3
94.0
83.4
86.6
86.1
85.5
79.3
88.1
80.0
83.9
81.6
86.1
72.6
43.7
19.4
36.4
45.5
40.3
14.0
118
8.7
51.7
6.0
16.6
13.4
139
14.5
20.7
11.9
20.0
16.1
18.4
139
27.4
563
3.5
2.7
10.6
1.2
4.6
14.7
3.2
.1
1.2
2.3
1.6
.7
8.4
.1
1.1
12.2
3.6
4.3
4.8
.1
25.0
1
.7
2.0
5.0
13.4
8.3
.6
2.2
.1
1.3
2.5
1.8
.1
1.2
13.1
3.6
4.8
4.8
.1
25.6
.1
.6
1.1
.1
3
.3
2.7
1.3
17.4
.8
1
3.1
19.6
79
1.4
7.3
.2
.8
1.3
.7
.2
6.9
3.7
2.5
4.8
.1
22.8
.1
1.0
5.6
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups
2Because of rounding, the percentages may not add to total
3Less than one-tenth of 1 percent.
••Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson
includes arson.
270
Table 67. — Suburban Area1 Arrests, Distribution by Race, 1994
[5,411 agencies; 1994 estimated population 87,926.000]
Offense charged
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution-
Total
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3
Property crime4
Crime Index total5
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 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
See footnotes at end of table.
4,155.539
4,282
9.461
32,390
145,857
114,193
440.963
49,489
6,649
191.990
611,294
341,122
32,621
134.896
4,113
49,356
95,428
67,027
9,554
27,730
349,905
2.356
45,234
499.198
149,303
179,382
201.295
4.932
1.042.765
3.472
29,473
83.093
3,134,087
975.489
21,076
24.887
2.456
6.439
14,949
101,930
87,191
303.825
34,332
5,569
1,745
2.913
17.100
42,152
25,797
130,378
14,512
995
23
59
121
777
473
!.O40
213
42
58
50
220
998
732
4.720
432
43
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
57.4
68.1
46.2
69.9
76.4
68.9
69.4
83.8
125,774
430,917
63.910
171,682
980
!,768
1.326
5,927
100.0
100.0
65.5
70.5
248,914
22,578
94.590
2,806
32,732
79,734
46,387
7,105
23,153
254.358
1.217
30,601
453.049
135.367
157.333
153.956
3.571
732.719
2.808
24,780
69,638
88.278
9.642
39.205
1.265
15.979
14.479
19.880
2.201
4.287
93,312
1.082
14,325
40,064
1 1 ,547
19.533
45,527
1 ,306
300.317
620
4,338
12.710
1.937
110
427
12
219
466
243
122
1.016
2
154
2.709
1.371
1,902
947
23
5.139
28
155
1.993
291
674
30
426
749
517
168
1.219
55
154
3,376
1,018
614
865
32
4,590
16
200
447
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
ioo.o
1000
100.0
100.0
100.0
100.0
100.0
73.0
69.2
70.1
68.2
66.3
83.6
69.2
74.4
83.5
72.7
51.7
67.7
90.8
90.7
87,7
76.5
72.4
70.3
80.9
84.1
83.8
40.8
30.8
52.8
28.9
22.6
29.6
29.3
15.0
33.3
28.1
25.9
29.6
29.1
30.8
32.4
15.2
29.7
23.0
15.5
26.7
45.9
31.7
8.0
7.7
10.9
22.6
26.5
28.8
179
14.7
15.3
1.4
.5
7
7
6
1
9
6
.7
1.0
2.1
.6
.3
2.3
.3
.7
.7
.3
.4
.6
.4
.5
.7
.5
271
Table 67. — Suburban Area1 Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests under 18
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution2
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle fheft
Arson
Violent crime3
Property crime4
Crime Index total5
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 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
See footnotes at end of table.
802.848
609
1.682
10,172
24,208
46.930
152.575
21.796
3.998
36,671
225,299
261,970
63.811
2.482
3,083
249
13.931
49.758
17,929
198
5.438
44.134
244
1.636
4.756
40.440
5,359
51,854
1.272
120.988
750
29.473
83.093
617,728
174,411
3,820
6,889
76.9
291
1.103
4,520
15,416
37.335
111,978
14,956
3.466
299
561
5.507
8.443
9,009
37,626
6,439
486
6
12
44
117
193
801
107
19
13
6
101
232
393
2.170
294
27
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
47.8
65.6
44.4
63.7
79.6
73.4
68.6
86.7
21.330
167.735
14,810
53.560
179
1.120
352
2.884
100.0
100.0
58.2
74.4
1.299
3.236
44.644
2.078
2.273
165
9.285
42.970
13,005
137
4,257
33.210
54
1,354
4,447
38.269
4.927
38.953
1.074
92.610
533
24.780
69.638
18,394
365
752
81
4.372
6,126
4.633
57
1.130
10.569
186
264
259
1.620
354
12.439
187
26,997
208
4.338
12.710
334
10
16
74
202
80
21
15fi
13
31
315
55
183
1
569
5
155
298
439
29
42
3
200
460
211
30
199
4
5
19
236
23
279
10
812
4
200
447
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
100 0
100.0
100.0
100.0
1000
100.0
100.0
70.0
83.7
73.7
66.3
66.6
86.4
72.5
69.2
78.3
75.2
22.1
82.8
93.5
94.6
91.9
75.1
84.4
76.5
71.1
84.1
83.8
21.7
49.1
33.4
54.1
34.9
19.2
24.7
29.5
12.2
40.4
23.8
14.7
24.4
32.5
31.4
12.3
25.8
28.8
20.8
23.9
76.2
16 1
5.4
4.0
6.6
24.0
14,7
22.3
27.7
14.7
15.3
2.1
.4
1.0
1.0
.8
1.4
1.3
.7
1.0
1.3
1.2
.7
1.2
1.4
1.2
1.4
.9
1.2
6
.5
1.6
.3
.4
6
.4
.5
.8
.7
.5
.7
.5
272
Table 67. — Suburban Area1 Arrests, Distribution by Race, 1994 — Continued
Offense charged
Arrests 18 and over
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution2
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL .
Murder and nonnegligenl manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime3 -
Properly crime4
Crime Index total5
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 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
3.352.691
3.673
7,779
22,218
121,649
67,263
288.388
27,693
2,651
155,319
385,995
277,311
30,139
131.813
3.864
35.425
45,670
49,098
9,356
22,292
305,771
2,112
43,598
494.442
108,863
174,023
149,441
3.660
921.777
2,722
2,516,359
801,078
17,998
2,165
5,336
10.429
86.514
49.856
191.847
19,376
2.103
1.446
2.352
11.593
33.709
16,788
92,752
8,073
509
17
47
77
660
280
1,239
106
23
45
44
119
766
339
2.550
138
16
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
58.9
68.6
46.9
71,1
74.1
66.5
70.0
79.3
104,444
263.182
49,100
118,122
801
1.648
974
3.043
100.0
1000
67.2
68.2
2.449
204,270
20,500
92.317
2.641
23,447
36.764
33,382
6,968
18.896
221.148
1.163
29,247
448.602
97.098
152.406
115,003
2.497
640.109
2,275
69.884
9,277
38,453
1.184
11.607
8.353
15.247
2,144
3.157
82,743
896
14.061
39,805
9,927
19,179
33.088
1.119
273.320
412
1.603
100
411
12
145
264
163
45
101
860
2
141
2.678
1,056
1.847
764
22
4.570
23
1.554
262
632
27
226
289
306
199
138
1,020
51
149
3,357
782
591
586
22
3.778
12
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
loo.o
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
73.7
68.0
70.0
68.3
66.2
80.5
68.0
74.5
84.8
72.3
55.1
67.1
90.7
89.2
87.6
77.0
68.2
69.4
83.6
23.9
39.4
30.2
52.2
27.7
25.0
32.2
29.2
19.2
31.6
30.6
25.2
30.8
29.2
30.6
32.8
18.3
31.1
22.9
14.2
27.1
42.4
32.3
8.1
9.1
11.0
22.1
30.6
29.7
15.1
1.2
.6
.5
.6
.5
.9
.5
.6
.6
.3
2.4
.3
.7
.7
.3
.4
6
.4
.4
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
2Because of rounding, the percentages may not add to total.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
4Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
273
Table 68.— Arrests by State, 1994
[1994 estimated population) Leaders indicate zero data.
Slate
Total1
all
classes
Cnme:
Index
total
Violent'
cnme
Property4
cnme
Murder
and non-
negligent
mail-
slaughlet
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson
Other
assaults
Forgery
and
counter-
feiting
Fraud
ALABAMA: 260 agencies;
population 3,891.000
Under 18
17,018
199.303
6.737
38.417
64.452
271.026
18,730
175,692
257,389
1.616.563
51,163
217.438
32.154
182.873
1.796
9.729
3,733
48.502
154,569
756,362
3,7,514
286.256
20.648
68,990
20.034
63.762
19,671
83,693
38,756
150,746
7,500
38.153
3,279
8.186
18,397
56.110
6,382
23.444
104,372
409,015
15,278
42,166
9,939
39,103
759
2,357
1,353
10.658
64,531
202,506
13,648
56,659
4,664
13,032
6,733
11,861
5,266
14,440
11,308
29.073
1.392
12.419
288
1.611
2.266
9.554
927
5,091
22,053
150.531
1,554
8,084
1,608
8.665
149
738
689
5.058
11,604
58.609
2.262
15,246
326
1,323
412
1,392
755
2,357
1,734
6,950
6.108
25,734
2.991
6.575
16.131
46.556
5.455
18.353
82,319
258,484
13.724
34.082
8.331
30,438
610
1.619
664
5.600
52.927
143.897
11,386
41.413
4.338
11.709
6.321
10.469
4,511
12,083
9,574
22,123
68
469
12
35
69
327
51
299
545
2,973
14
162
34
193
2
6
26
277
197
1.196
60
429
8
62
6
36
20
112
18
158
34
485
30
118
34
246
56
457
459
3.303
62
467
56
380
25
102
9
95
395
2.366
95
575
26
149
6
68
69
210
11
140
422
2.085
59
184
435
1,519
267
992
8,946
27,978
380
1.064
559
2.181
26
98
256
1,173
3.693
11,254
688
3.160
144
459
40
100
209
548
239
819
868
9,380
187
1.274
1,728
7.462
553
3.343
12,103
116.277
1.098
6.391
959
5,911
96
532
398
3.513
7.319
43.793
1.419
11.082
148
653
360
1.188
457
1.487
1,466
5.833
1,002
4,053
586
952
2,879
6,459
1,195
3,393
22,110
69.363
1.617
3.472
1,585
5.294
175
401
52
1,090
12,048
29,290
2,089
6.785
632
1,527
725
1,271
670
1,360
1,250
2,863
4.632
19.900
2.084
4,943
11,346
36,261
3.952
14,139
43,212
145.135
11.090
28.355
5.266
22.245
335
1.099
144
2.860
33,540
99,633
7.829
31,113
3,271
8,377
5,077
8.426
3.660
10.368
7,164
17.024
448
1.655
303
646
1.604
3.408
281
690
15.377
41,415
802
1.883
1.331
2.615
88
104
464
1,623
7.023
14.281
1,351
3,130
401
1.742
428
649
132
260
1.062
2.050
26
126
18
34
302
428
27
131
1.620
2.571
215
372
149
284
12
15
4
27
316
693
117
385
34
63
91
123
49
95
98
186
1.217
24.531
519
4.413
4,775
28.118
784
7.587
21.944
79.385
3.687
22.484
2.916
18.433
285
2.782
307
5.083
8.541
57,364
2,983
21,940
1.381
4,976
1,353
5.740
2,720
12.324
2.218
10.619
52
1.948
22
137
147
1.830
100
1,842
914
15,024
212
1.536
26
971
6
91
3
226
246
5,658
178
3,927
22
400
82
344
32
537
52
680
146
Total all ages
ALASKA: 25 agencies;
population 569.000
Under 18
11,604
9
Total all ages
ARIZONA: 85 agencies;
population 3.904.000
Under 18
148
92
1.855
ARKANSAS: 184 agencies;
population 2,416,000
Under 18
93
17.555
CALIFORNIA: 701 agencies;
population 31.354.000
Under 18
820
10.332
COLORADO: 97 agencies;
population 2,533,000
Under 18
205
2.650
CONNECTICUT: 98 agencies;
population 2,768.000
Under 18
55
Total all ages
DELAWARE: 3 agencies;
population 380,000
Under 18
2,833
28
432
DISTRICT OF COLUMBIA:
1 agency;
population 570,000
Under 18
Total all ages
FLORIDA: 616 agencies;
population 13,729,000
Under 18
153
650
9,233
GEORGIA: 300 agencies;
population 4,184.000
Under 18
304
13.005
HAWAII: 5 agencies;
population 1,179,000
Under 18
41
606
IDAHO: 102 agencies;
population 1.103,000
Under 18 .
63
734
ILLINOIS:' 37 agencies;
population 1,776,000
Under 18
30
179
INDIANA: 108 agencies;
population 3,229,000
Under 18
42
Total all ages
1.537
See footnotes at end of table.
274
Table 68.— Arrests by State, 1994— Continued
Embezzle-
ment
Stolen
properly.
buying,
receiving;
possessing
Vandalism
Weapons,
carrying.
possessing.
etc
Prosti-
tution
and
commer-
cialized
vice
Sa
offenses
(except
forcible
rape and
prostitution i
Drug
abuse
violations
Gambling
Offenses
against
family
and
children
Driving
under the
influence
Liquor
laws
Drunken-
ness*
Disorderly
conduct
Vagrancy
All other
offenses
(except
traffic 1
Suspicion
Curfew
and
loitenng
law
violations
Runaways
1
468
509
584
2
29
945
30
6
112
809
156
1.070
38
1.833
141
1,370
27
2.195
3,180
2,799
245
396
11.027
129
1,060
18.220
9,079
14,510
5,768
287
52,633
1
141
1.370
1
25
444
148
7
76
286
1
57
759
58
4
1.005
2
35
5
64
1,048
633
149
390
1,436
14
100
4,891
2.556
5
857
4
13,344
2
35
23
742
3,969
950
20
306
3.886
9
280
4.428
3,959
58
5,492
8,815
8,104
221
3,226
10,204
4.497
1.755
2,055
21,352
26
2,025
26.548
21.906
22.274
803
49,302
8.815
8.104
2
498
448
406
6
50
771
42
59
253
618
367
1.147
45
3.390
62
1.706
1,501
13
2.385
1.271
2,985
320
504
9.212
158
908
18.688
3.854
20.570
7.287
945
52.520
437
1.706
1,501
85
6.913
18.377
10,499
202
2.245
22.809
138
11
1,780
4,222
3.580
6.693
771
29.613
12.855
8,546
1,264
28.603
32.026
41.564
18.032
15.995
270.792
1.326
686
206.508
20,121
109.995
14,109
4,214
316,171
12.855
8,546
34
236
3.480
1.007
12
368
2,197
5
24
271
3,095
26
2,944
853
9.864
11
4,002
3,352
266
649
7.882
4,045
1,425
1.672
12.101
22
1.373
21.439
12,995
1.101
16.964
2.562
56,741
11
4,002
3,352
4
105
2.215
872
22
166
3.110
10
112
121
507
3
4,401
133
6,180
3
182
1,072
97
428
5,248
2.978
846
843
19.909
103
2,386
9,417
1,808
51
25,982
495
49,682
6
182
1,072
101
80
33
12
93
1
3
97
1
77
1
177
9
33
1
179
285
101
1 1
86
619
8
63
1
265
117
390
58
1.841
9
33
15
104
199
14
587
12
1
423
250
465
374
762
1.657
1,286
116
7,173
218
12
3.355
28
7.351
5.820
3,765
465
90
1,204
2.912
2,136
103
584
8,644
69
17
234
1,848
3,445
16.335
42,980
727
5,581
5,620
9.154
7,149
4.779
79,951
717
1.447
51,182
25.303
20,053
226,958
42.980
9
901
781
1,145
20
329
2,308
57
52
352
1,372
164
2,467
55
7,968
25
692
1,704
354
4,610
2,814
5,872
1,501
2,99!
24,979
501
2,751
34,732
8,549
9,277
21.696
122
67,332
248
692
1,704
3
44
944
112
11
Ill
664
19
132
44
383
216
2
5.223
1,349
5,283
79
225
1.630
685
455
448
3,694
410
1,939
4.311
1.326
1.285
2
26.854
1
1.349
5,283
9
192
1,215
313
2
83
504
A
151
1.175
5
406
3.551
833
3,360
78
452
1,823
893
18
280
3.030
3
240
10.091
3,503
114
1.562
11
18,792
833
3.360
305
1.603
537
4
76
1,086
35
1
57
820
79
1,251
2
3,615
1,640
512
2
655
3,269
1,720
258
411
4,856
89
239
6.975
2.608
629
4.536
206
27,608
1.640
512
535
1.728
397
14
190
1,203
24
69
94
2,514
334
1,629
12
6,742
117
3.100
6.434
8
1,186
2,627
1.866
1,008
1.137
7,529
368
1.167
16,416
8,430
15,906
4,836
22
36,618
179
3,100
6.434
275
Table 68.— Arrests by State, 1994— Continued
Stale
Tola!1
all
classes
Crime2
Index
total
Violent'
cnme
Property4
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Olhei
assaults
Forgery
and
counter-
feiting
IOWA: 184 agencies;
population 2.425,000
Under 18
Total all ages
KANSAS:6
KENTUCKY: 378 agencies;
population 2,028.000
Under 18
Total all ages
LOUISIANA: 107 agencies;
population 3,030.000
Under 18
Total all ages
MAINE: 141 agencies;
population 1.206.000
Under 18
Total all ages
MARYLAND: 145 agencies;
population 4.993,000
Under 18
Total all ages
MASSACHUSETTS: 186
agencies;
population 4,090,000
Under 18
Total all ages
MICHIGAN: 391 agencies;
population 7.524.000
Under 18
Total all ages
MINNESOTA: 279 agencies;
population 4.259.000
Under 18
Total all ages
MISSISSIPPI: 48 agencies;
population 791.000
Under 18
Total all ages
MISSOURI: 178 agencies;
population 3,282.000
Under 18
Total all ages
MONTANA:'
NEBRASKA: 237 agencies;
population 1,475,000
Under 18
Total all ages
NEVADA: 27 agencies;
population 1.344.000
Under 18
Total all ages
NEW HAMPSHIRE: 72
agencies,
population 712.000
Under 18
Total all ages
See footnotes at end of table
16.940
87.257
11.644
1 1 3.630
33.997
189,392
10,295
46.627
48,295
273.198
19.530
138,524
55,254
352,288
58.900
203,786
9,225
61,676
38.141
278.583
17.065
80.346
18.186
106.315
5.951
24,625
6,003
15.523
4.727
22.019
1 1 .899
45,515
4,567
9.940
19.641
64.086
6.673
34.363
21.776
68.272
19.302
39,743
3,137
11.945
12.081
50.909
5.974
13.487
4,776
17,354
1,622
3,901
742
3,300
772
9,127
2,002
11,868
174
827
3,562
13,594
2.381
14,975
4,126
22.243
2,159
6.923
337
1.976
2.062
13.944
337
1.467
553
3.277
83
481
5.261
1 2 223
3.955
12,892
9,897
33,647
4,393
9,113
16.079
50.492
4.292
19.388
17,650
46.029
17.143
32.820
2.800
9.969
10.019
36,965
5.637
12,020
4.223
14,077
1.539
3.420
13
182
75
500
103
587
16
123
224
1,649
34
170
110
594
32
135
43
408
71
479
165
910
69
618
286
1.883
216
1,045
99
665
39
215
98
289
160
930
423
1,722
50
122
1.230
4.584
621
2.298
1.231
4,553
656
1,462
107
559
731
1,849
126
320
253
1.211
610
2.850
556
7.607
1 ,433
9,167
105
599
2.064
7.513
1.675
11.936
2.385
14.158
1.253
4.246
171
1.071
1.122
9.836
162
247
1.616
51
329
924
1.836
809
2.853
2.083
6.439
894
1.820
2,879
10.288
1.192
4.660
3,178
8.805
2.136
4.276
710
1.960
1.574
5.496
862
3.355
177
399
3.818
9.521
2.544
8.560
7.123
25.460
3.121
6.648
N.S22
32.107
2.367
12.594
12.422
33.052
12.637
24.658
1.699
6.976
6.955
27.452
4.746
10.178
2.903
9.805
1.247
2,829
392
683
501
1,251
590
1.524
293
512
3.996
7.472
655
1.950
1.795
3.501
2.127
3.542
357
949
1.304
3.565
270
499
422
840
127
183
llll
228
101
224
85
133
382
625
78
184
255
671
243
344
186
452
87
122
1.578
7.688
469
7.002
3.097
18.719
1.192
6.726
5.819
33.983
1.189
11.771
3.396
29.567
5.026
21,276
1.052
6.520
4.033
33.559
1.507
8.225
1.581
1 1 .980
529
2.768
119
640
115
2.201
71
2.367
30
248
66
1.128
42
556
76
1.305
327
2.308
27
534
104
1,703
104
712
30
760
276
Table 68.— Arrests by State, 1994— Continued
Embezzle-
ment
Stolen
property;
buying,
receiving,
possessing
Vandalism
Weapons:
carrying,
possessing,
etc
Prosti-
tution
and
commer-
cialized
vice
Sei
offenses
(except
forcible
rape and
nwoluaonl
Drug
abuse
violations
Gambling
Offenses
against
family
and
children
Driving
under the
influence
Liquor
laws
Drunken-
ness5
Disorderly
conduct
Vagrancy
All other
offenses
1 except
traffic)
Suspicion
Curfew
and
loitering
law
violations
Runaways
4
76
1,244
148
4
70
368
1
9
184
2.178
243
861
1 .956
663
1.167
91
153
2.447
718
260
279
4,524
4
208
13.897
10,796
7.583
4,260
31
14.618
663
1.167
1
588
558
159
7
131
825
19
8
109
420
451
809
1.415
1
724
414
2.115
2.008
1,331
510
1,364
8,867
84
1.697
9.139
1.574
21,906
5,326
16.939
1
724
1
884
1,513
720
4
168
1,668
52
107
133
749
170
2,352
55
6,222
196
1.689
2,192
18
3.065
4.182
3.078
350
1.149
14,735
239
1.288
13.667
2.119
6.504
11.943
436
52.824
738
1,689
2,192
123
782
91
1
128
384
9
94
395
16
210
1,557
163
502
11
395
1,842
333
68
474
2,639
7
262
6.938
1.714
26
1.644
1
1 1 .960
163
502
25
56
2.638
1,231
12
414
6,246
66
20
180
939
2
1.234
34
7.296
81
516
1,670
537
294
4,820
4,926
1,431
1,657
37,858
264
1.659
21.210
4.422
2
5,978
284
82.552
277
516
1,670
3
977
888
301
II
93
2,382
156
89
843
226
1.523
50
2,861
63
80
1,068
10
3.778
2,678
1,453
2,342
931
20,100
64
3.088
1 2,209
3,132
6.799
9,130
340
24.065
407
80
1,068
95
1,900
2,825
1,518
25
441
3.361
46
453
2,230
13
2.735
31
7,003
2,158
4,050
1,103
8.761
6.394
7,018
2,853
2.320
29,221
1,043
2.600
41,235
16,174
244
21,242
261
97,457
2.158
4.050
1,120
4.381
1,258
35
245
2.553
18
27
367
6,720
4.935
20
6.159
3.559
2.419
6
2.564
7.395
2,847
1.313
852
12,612
88
656
31,048
18.392
14.286
100
32.730
3,559
2.419
10
74
198
224
4
21
569
40
II
63
236
101
903
14
1,549
14
626
326
324
357
510
940
38
172
4,752
240
702
5.397
2.443
5,890
4,801
23
14,291
25
626
326
10
363
2.265
1.000
43
333
2.124
18
116
208
1.317
30
1.301
163
6,770
189
2,090
3,522
62
1.638
7,733
6.595
3,101
2,273
17,826
92
2.646
21,193
6.977
1.246
11,294
689
98.244
2,658
2,090
3,522
23
644
1 .355
307
7
114
534
6
23
293
2,057
753
4
2.231
565
452
126
1.386
2.889
1.333
266
797
5.286
63
1,418
12,604
7,783
4.361
7
16,459
565
452
34
358
701
529
5
91
878
14
22
40
662
30
474
72
2.694
4
3.900
1 .243
514
2.492
1.484
2,268
2,735
913
9.186
56
822
6.074
2.975
732
2.981
667
35,524
6
3.900
1,243
177
311
26
2
31
356
58
472
336
181
10
943
44
114
721
4
459
659
94
10
168
2,067
22
34
4.321
2.138
1.501
874
73
4.244
44
114
721
277
Table 68.— Arrests by State, 1994— Continued
Total'
all
classes
Crime2
Index
total
Violent'
cnme
Property4
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
dssjult
Burglary
Larceny-
theft
Motor
vehicle
theft
Other
assaults
Forgery
and
counter-
feiting
NEW JERSEY: 542 agencies;
population 7.653,000
Under 18
Total all ages
NEW MEXICO: 28 agencies;
population 392,000
Under 18
Total all ages
NEW YORK: 513 agencies;
population 15,925,000
Under 18
Total all ages
NORTH CAROLINA: 463
agencies;
population 6,846,000
Under 18
Total all ages
NORTH DAKOTA: 57
agencies;
population 552.000
Under 18
Total all ages
OHIO: 257 agencies;
population 6,741,000
Under 18
Total all ages
OKLAHOMA: 280 agencies;
population 3,212,000
Under 18
Total all ages
OREGON: 192 agencies;
population 3,030,000
Under 18
Total all ages
PENNSYLVANIA: 687
agencies;
population 9,283,000
Under 18
Total all ages
RHODE ISLAND: 44 agencies;
population 997,000
Under 18
Total all ages
SOUTH CAROLINA: 284
agencies;
population 3,659,000
Under 18
Total all ages
SOUTH DAKOTA: 37 agencies
population 409.000
Under 18
Total all ages
TENNESSEE: 93 agencies,
population 2.056,000
Under 18
Total all ages
TEXAS: 826 agencies;
population 16,240,000
Under 18
Total all ages
UTAH: 95 agencies,
population 1.711,000
Under 18
Total all ages
See footnotes at end of table
278
87,875
377.146
5,619
26,072
163,723
1,171,999
49.086
437.063
7,569
25.296
76.423
369.112
27,632
148,542
44.750
157,775
87,748
347.930
9.664
41.135
26.381
202.609
8.959
29.766
19.923
138.239
212.326
1,035.601
38.697
112,226
23.492
74.350
1.633
3.907
43.761
169,805
16,969
84,504
2.235
4.082
19,904
59,295
12,281
28,663
15,591
42.539
24.729
77.393
2.967
8.155
9,210
34.220
2.542
4,912
6.117
28,281
66.566
184.035
14.515
26.282
5,737
20,591
206
798
17.177
66,881
3.213
25,828
54
189
3.235
14.490
1.361
6,157
1.253
4,994
5.359
20.804
500
2.322
1.612
10.160
153
609
772
7.296
9,151
37,165
998
2.564
17.755
53.759
1,427
3,109
26.584
102,924
13,756
58.676
2.181
3.893
16.669
44.805
m.'Oi
::,5i)h
14.338
37.545
19.370
56.589
2.467
5.833
7.598
24,060
2,389
4.303
5,345
20,985
57,415
146,870
13,517
23,718
51
319
266
1,564
82
754
101
493
35
205
77
576
48
344
32
199
368
1,532
232
1.061
269
1,940
94
795
71
447
50
384
266
1,177
114
669
44
391
394
2,505
2,225
5,981
11.092
29.339
795
3,839
1,463
4,493
374
1,032
421
1,479
2,189
7.188
93
237
377
1.543
51
164
200
1.214
3,321
8.729
194
407
3.229
13,230
169
638
5,550
34.038
2.242
20.440
35
120
1.390
8.265
864
4,439
747
2,926
2.827
11.863
383
1.970
1.073
7,604
126
478
496
5,492
5,068
24.399
744
1,954
3,370
MSI li
317
606
5.124
18.771
3.825
16.321
183
382
3.215
8.285
1.747
4,026
1,939
4,474
3.563
9.831
452
1.071
1,889
5,038
306
553
862
2,849
10,993
22.884
1.401
2.262
12,716
41.236
1.011
2.273
18.365
73.177
8.927
39.485
1.776
3.192
10.929
31,806
7.722
15.841
10.446
28.223
1 1 .905
37.976
1.723
4.153
5,077
17,763
1.879
3,488
3,781
16,317
39.450
110.175
10,861
19,702
1.353
2.455
77
175
2.730
10.155
772
2,345
204
298
2.142
4.042
1.182
2,191
1,549
4.298
3.474
8.011
200
491
561
1.1147
100
146
650
1.687
6.460
12.875
I.I II
1,581
316
563
S5
365
821
232
525
383
672
264
448
404
550
428
771
92
118
71
212
104
116
52
132
512
936
9,399
39,632
378
2.043
10.726
55.842
5,782
47,809
354
,242
7.236
29.829
1,012
6.234
3.421
20.942
5.901
34.139
981
5.379
3,162
19.853
380
2.188
1,036
10,576
15,824
85.449
2.689
10,484
37
1.050
8
105
406
7,018
203
4,698
77
275
129
2.136
151
1.213
225
2.114
152
2.216
8
103
115
2,205
39
128
54
1,520
706
7.038
286
1.142
Table 68.— Arrests by State, 1994 — Continued
Embezzle-
ment
Stolen
properly:
buying,
receiving,
possessing
Vandalism
Weapons,
carrying,
possessing.
etc
Prosti-
tution
and
commer-
cialized
vice
Sex
offenses
lexcepl
forcible
rape and
prostitution
Drug
abuse
violations
Gambling
Offenses
against
family
and
children
Driving
under the
influence
Liquor
laws
Drunken-
ness5
Disorderly
conduct
Vagrancy
All other
offenses
lexcepl
traffic 1
Suspicion
Curfew
and
loitering
law
violations
Runaways
6
3.221
6,427
2.583
27
470
8,189
33
24
159
2.924
3
10,441
173
10.797
2,860
6,449
91
9.235
11,032
6.890
2.516
2.166
49.102
204
16.503
23,620
8.290
20
37.673
1,631
78,371
2,860
6,449
1
57
267
110
9
310
90
101
857
27
122
1
906
12
362
364
54
182
430
306
63
1.121
903
4.775
2.064
379
767
24
7,940
90
362
364
15
2,718
8,830
3,460
84
1,257
13.048
230
296
2.003
11.343
625
49.456
5,075
312
12.937
23.839
15,126
12.307
6,360
130,860
5,464
48.620
22.562
7
56.255
4,035
536.283
5,075
142
1,356
2.748
1.629
10
248
3.003
22
120
485
1.446
2.917
31
9.262
82
1.886
1,981
6,639
10.527
8.362
980
2,591
29.987
472
6,240
29.860
9.316
15.826
187
124.663
82
1.886
82
590
53
25
78
100
57
1.124
1
417
890
483
984
3
133
804
146
1
72
652
4
230
2.780
3,393
350
1.150
1
3,204
483
984
2.229
3.517
1.466
43
380
3.849
110
1,500
346
2.866
416
4.097
35
16.160
301
5.778
5,946
9
6.707
6.282
6.698
3.665
2.427
31.575
593
13.069
28.628
18.665
18,662
21.377
492
100,991
362
5.778
5.946
48
619
952
623
13
86
1,166
6
69
249
817
655
524
3,335
1.964
2.939
510
2.109
1.615
3,051
289
988
12,234
74
887
22.643
4,901
28.431
2.915
24,840
1.964
2.939
1
223
3.266
709
13
360
1.645
5
6
189
3,788
1.095
5,000
4.597
4,496
62
684
6.031
3.139
769
1,556
14.008
34
329
18.437
12,337
4.988
19,296
4,597
4,496
4
1.126
6,693
1.681
22
500
4.405
22
39
208
5,998
244
12.674
123
8,983
8.814
5,177
104
3,746
14,558
4,579
2,454
2.262
29.705
362
765
30.346
17,836
18.315
54,293
464
33.996
8.814
5.177
224
686
210
4
57
593
39
21
239
12
684
15
1.379
395
111
1.012
84
747
1.543
577
327
393
3.985
63
471
1.972
1.350
39
3.078
27
9.251
878
111
1.012
711
1.674
988
17
151
2.061
25
82
182
1.251
196
2.474
2.164
47
1 .592
37
2 322
4,655
4.166
663
691
17.835
465
1,169
17.252
12,781
13.858
16,626
206
20,429
47
1.592
9
81
455
90
24
205
19
32
1,360
23
287
1.825
427
1.146
21
153
685
200
4
126
1,020
209
4.088
5.228
232
1.371
20
6,762
2
427
1.146
5
66
786
518
2
34
1.044
74
14
107
854
277
1.214
14
3.549
3
2.388
1.724
70
265
2,029
2.705
1.109
462
10,012
525
936
15.889
3,493
18.428
5.690
54
28.881
796
2.388
1.724
23
475
9,590
4.841
94
993
10,592
104
506
792
5.968
5.477
14,794
117
29.978
13
10,304
33,943
292
1.388
16.570
20.729
7.153
5.597
72.000
607
7.451
90.876
23.718
182.428
38.247
1,192
236.898
33
10.304
33,943
3
339
3.273
818
9
404
1.648
17
147
2.978
138
1.473
t
7,295
1,809
734
35
707
4.396
1 .557
566
1,113
8,254
18
569
6.515
9,709
7,234
4,225
16
25,907
15
1,809
734
279
Table 68.— Arrests by State, 1994 — Continued
Slaie
Total1
all
classes
Crime2
Index
total
Violent-*
crime
Property4
crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Other
assaults
Forgery
and
counter-
feiting
Fraud
VERMONT: 18 agencies;
population 298,000
Under 18
Total all ages
VIRGINIA: 362 agencies;
population 6,477,000
Under 18
Total all ages
WASHINGTON: 200 agencies;
population 4,145,000
Under 18
Total all ages
WEST VIRGINIA;
agencies;
population 1.820.000
Under 18
Total all ages
297
WISCONSIN: 321 agencies;
population 4.980.000
Under 18
Total all ages
WYOMING: 63 agencies;
population 452.000
Under 18
Total all ages
467
3.702
53.533
387.065
52,993
230,280
6.869
59,828
134.941
420,676
6.710
29,527
214
637
16,363
62,340
24,394
55.492
2.526
9.234
32.443
68.479
1 .609
3,819
1.757
13,289
2,205
7,862
149
1,490
2.799
9.247
77
528
206
548
14.606
49.05 1
22.189
47,630
2,377
7,744
29.644
59.232
1,532
3,291
66
476
224
925
6
104
93
418
136
687
597
1.580
641
1.625
51
247
924
2.251
1.002
9.425
1.304
5,123
84
1.000
1.646
5.891
51
426
72
171
2.413
7.077
3.203
6,175
515
1.604
3.590
6.659
135
401
124
348
10.188
37.674
17,098
38,556
1,595
5,548
22,462
46.952
1.308
2,708
1.754
3.771
1,614
2,489
224
483
3.183
5.012
59
Its
251
529
274
410
43
109
409
609
38
429
4.782
42.866
5.835
35.320
542
6.648
5.771
27.200
295
2,214
290
5,391
334
2.015
40
480
514
2.221
25
184
I
H3
172
14.847
66
1.584
60
4,748
458
9.674
9
215
'Does not include traffic arrests,
includes arson
3Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault
4Propcrty crime includes offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Drunkenness is not considered a crime in some states; therefore, the Figures vary widely from state to stale.
6Complete data for 1994 were not available for the states of Illinois, Kansas, and Montana.
NOTE: Direct comparisons of arrest totals listed in this table should not be made with prior years' issues. Some Part II offenses are not considered crimes in some states; therefore, figures may vary
widely.
280
Table 68.— Arrests by State, 1994 — Continued
Embezzle-
ment
Stolen
properly,
buying,
receiving;
possessing
Vandalism
Weapons;
carrying,
possessing,
etc.
ProsU-
tution
and
commer-
cialized
vice
Sex
offenses
(except
forcible
rape and
prastnutjonl
Drug
abuse
violations
Gambling
Offenses
against
family
and
children
Driving
under the
influence
Liquor
laws
Drunken-
ness'
Disorderly
conduct
Vagrancy
All other
offenses
(except
traffic)
Suspicion
Curfew
and
loitering
law
violations
Runaways
1
9
39
2
5
27
21
59
11
36
9
35
83
3
16
214
140
1,465
144
174
222
35
386
2,749
1.554
15
436
2,562
25
37
357
2,097
552
1,552
9.290
3,091
7,188
1.241
1,859
7,367
8.418
1,215
2.926
24,102
169
2,051
32,982
13,820
46,354
9.692
99.146
3.091
7,188
13
1.694
3,278
1.026
42
609
1.884
3
51
177
3.567
27
638
41
6,202
21
300
2.791
79
4,426
6,753
2.949
1,234
2,341
13.848
62
984
19,457
11,787
201
4.560
155
63,774
168
300
2,791
2
89
316
152
2
33
306
3
72
197
230
169
5
937
467
721
78
615
1,169
1,340
124
309
2,640
30
444
8,555
1.395
9.673
1.708
42
9,408
467
721
26
868
7,235
2,699
31
1.411
3.076
103
506
439
10.634
144
21,471
22
24.804
142
10,194
11,950
173
1,685
13,993
7,910
1,701
3,851
16.688
340
5,153
34,551
35,009
499
65,722
150
103.305
228
10,194
11.950
2
21
246
138
7
188
11
59
1,137
23
474
26
1,529
14
327
570
7
87
488
260
6
125
1,171
1
129
4,516
3.684
1.602
1.595
74
8,435
18
327
570
281
Table 69. — Police Disposition of Juvenile Offenders Taken
[1994 estimated population]
IAL ALL AGENCIES
umber
ercent2
TAL CITIES: 6,554 cil
umber
ercent2
ities, 250,000 and over;
umber
:rcent2
cities, 100,000 to 249.9
umber
;rcenl2
cities, 50.000 to 99.999
umber
;rcent2
cities, 25.000 to 49.999
umber
:rceni2
7 cities, 10.000 to 24,9!
umber
:rcent2
7 cities under 10,000; p
umber
:rcent2
0 agencies; population <
umber
ircent2
5 agencies; population
umber
rrcent2
4 agencies; population '
umber
:rcent2
'Includes all offenses except traffic and neglect cases.
2Because of rounding, the percentages may not add to total
-•Includes suburban city and county law enforcement agencies within metropolitan
into Custody, 1994
Population group
Total'
Handled
within
departmenl
and released
Referred to
juvenile
court
jurisdiction
Referred to
welfare
agency
Referred to
other police
agency
Referred to
criminal or
adult court
TOTAL ALL AGENCIES: 9,219 agencies; population 189.868,000:
1,490,536
439,797
941,962
63.2
24,682
1.7
14,775
1.0
69J20
100.0
29.5
TOTAL CITIES: 6,554 cities; population 130,654,000:
1,213,859
349,217
28.8
780 ,310
I9J85
1.6
10,829
.9
54,118
100.0
643
Group I
54 cities. 250,000 and over; population 37,743,000:
Number
285.220
85.090
190.631
4.750
2,850
1.899
100.0
29.8
66.8
1.7
1.0
.7
Group 11
127 cities, 100,000 to 249.999; population 18,760.000:
166.345
100.0
44.521
26.8
109.697
65.9
3,406
2,0
1.389
.8
7 332
Group III
300 cities. 50.000 to 99.999; population 20.509.000:
206.346
62,647
129,038
3,537
1.967
9.157
100.0
30.4
62.5
1.7
1.0
Group IV
539 cities, 25.000 to 49.999; population 18.633.000:
178.920
55.987
111.057
2.478
2.160
7.238
100.0
31.3
62.1
14
1.2
40
Group V
1.227 cities, 10.000 to 24,999; population 19.460,000:
198.515
53,280
127,845
2.570
1.313
13.507
100.0
26.8
64.4
1.3
.7
Group VI
4,307 cities under 10,000; population 15.550,000:
178.513
47.692
112.042
2.644
1.150
14,985
1000
26.7
62.8
1,5
.6
84
Suburban Counties
1.030 agencies; population 41.274.000:
211.557
76,997
117,933
3.510
3,283
9.834
100.0
36.4
55,7
1,7
1.6
46
Rural Counties
1,635 agencies; population 17,940.000:
65.120
100.0
13.583
20.9
43.719
67 1
1.787
2.7
663
1.0
5 368
82
Suburban Area3
4,984 agencies; population 90.376,000:
659,208
223,099
382,837
8.995
7.030
37,247
Percent2
100.0
33.8
58.1
1 4
11
5.7
areas. Excludes central cities. Suburban cities and counties are also included in other groups.
282
SECTION V
Prostitution Arrest Trends
The vast majority of criminal justice research pertaining to
the crime of prostitution has been centered on behavioral
issues. In other words, there are volumes of studies that attempt
to address why individuals engage in this illegal activity. The
focus of this analysis, however, is more quantitative. Specifi-
cally, the study examines the movement in the Nation's pros-
titution arrest trends since 1970. The study does not attempt to
associate empirically any social developments with the arrest
trends observed.
Within the Uniform Crime Reporting (UCR) Program, the
"prostitution and commercialized vice" offense category is
defined as sex offenses of a commercialized nature, such as
prostitution, keeping a bawdy house, procuring, or transporting
women for immoral purposes. It should be noted that in UCR
only arrest data are reported for this offense.
Trend
The fastest growing individual arrest category in America
from 1970 to 1983 was prostitution, which increased 143 per-
cent. At an estimated 125,600, the number of prostitution
arrests peaked in 1983. It then declined consistently and was
down 22 percent by 1993. Consequently, this crime is now one
of the fastest declining arrest categories. The Nation's prostitu-
tion arrest trend is delineated in Chart 5.1. There are no existing
data to determine the causal factors associated with the radical
change. Some factors to be considered are the degree of law
enforcement emphasis, changes in sexual attitudes, and a
change in the modus operandi used by prostitutes.
Sex
When considering the gender of prostitution arrestees, the
decline in the number of female arrests have far outpaced the
decline in the number of male arrests. Arrests of females and
males dropped 29 percent and 7 percent, respectively from
1983 - 1993. Chart 5.2 depicts the arrest trend for each gender
group during the 24-year period, 1970 to 1993. While, graph-
ically, both trends have undulated in similar ways, prostitution
arrestees are becoming increasingly male as shown in Table
5.11. It should be noted that arrests for prostitution-related
offenses such as "procurement" are included in the counts.
Table 5.11
Percent Distribution of Prostitution
Arrests by Sex, United States,
1970 - 1993
Year
Total
Male
Female
1970.
100.0
20.7
79.3
1975.
100.0
25 7
74.3
1980
100.0
31.2
68.8
1985
100.0
30.0
70.0
1990
100.0
36.0
64.0
1993
100.0
35.7
64.3
Race
The Nation's racial composition of prostitution arrestees has
made a complete reversal since 1970. An examination of Table
5.12 reveals that in 1970, blacks constituted the majority of
prostitution arrestees, accounting for 64 percent; but in 1993.
whites represented the predominant racial group by increasing
to 62 percent. Chart 5.3 graphically illustrates the movement in
prostitution arrests by race. It is evident that with the advent of
the 1980s, the shift between white and black arrestees acceler-
ated. In fact, between the peak year 1983 and 1993, the esti-
mated number of black prostitution arrestees declined 40
percent, whereas arrests for whites decreased only 8 percent.
The decline for blacks contributed greatly to the overall 22-
percent decrease in prostitution arrests nationwide during the
1983 - 1993 timeframe.
Table 5.12
Percent Distribution of Prostitution
Arrests by Race, United States,
1970 - 1993
Year
Total
White
Black
Other
1970...
100.0
34.6
64.4
1.0
1975.
100.0
42.9
55.5
1.6
1980. .
100.0
100.0
45 4
55.5
53.2
43.0
1.4
1985
1.5
1990
100.0
59.8
38.9
1.3
1993
100.0
62.0
35.9
2.1
283
PROSTITUTION ARRESTS
CHART 5.1
ESTIMATED NUMBER of PROSTITUTION ARRESTS
Thousands |N THE UN|TED STATES 1 970-1 993
140
1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992
Thousands
90
CHART 5.2
ESTIMATED NUMBER of PROSTITUTION ARRESTS
in the UNITED STATES 1970-1993
MALE
1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992
284
Age
Table 5.14
Although the total arrests for prostitution started to decline
after 1983, the juvenile arrest statistics show an earlier point of
decline: juvenile involvement in prostitution in terms of arrests
reached its peak in 1978. More precisely, between 1970 and
1978, juvenile arrests for prostitution increased 257 percent.
The corresponding adult category increased only 78 percent.
At that time, it appeared that the Nation was headed for an
explosion in prostitution arrests in the future years. But, on the
contrary, during the period 1978 to 1993. juvenile arrests for
this crime fell 76 percent. This dramatic decline is portrayed in
Chart 5.4. As a result, the juvenile prostitution arrests constitu-
ted only 1 percent of total arrests for the crime by 1993.
In conjunction with the above-mentioned trend, Table 5.13
reveals that the average age of participants in prostitution is
increasing. This upward tendency in average ages holds both
for male and female arrestees. This information is noteworthy
in that for the first time the average age of female prostitution
arrestees has approached 30.
Table 5.13
Average Age of Prostitution Arrestees,
United States, 1970 - 1993
Prostitution Arrest Rates by Region,
United States, 1993
Year
Total
Male
Female
1970 . .
26.3
25.1
26.2
27.2
29.9
31.1
32.3
30.3
30.3
30.6
32.3
33.3
24.7
1975
1980
1985
23.3
24.3
25.7
1990
28.5
1993
29.9
Demography
Overwhelmingly, prostitution arrests occur within city
limits, particularly in larger cities. This dynamic was constant
throughout the study period. For example, in 1970 and 1993,
96 and 95 percent, respectively, of prostitution arrests occurred
in United States cities. Moreover, cities over 100,000 in popula-
tion accounted for 82 percent of prostitution arrestees in 1993.
Regionally, as shown in Table 5.14, prostitution arrest rates
per 100,000 inhabitants were significantly higher in the North-
eastern and Western regions when compared to the remaining
regions during 1993.
Rate per
100,000
41.5
Northeast
50.5
35 6
South
West
31.9
53.4
Discussion
The volume of prostitution arrests has shown a definitive
pattern of decline, an age shift to older arrestees, and a reversal
in the racial composition of arrestees. The current patterns of
this crime, as indicated by prostitution charges lodged by law
enforcement, seem to point toward a continuing downward
trend in the future.
Although the number of prostitution arrests are, like other
crimes, affected to some degree by law enforcement emphases,
the prostitution arrest patterns started the current trends during
the middle 1980s. Concurrently, the Nation was experiencing
the initial stages of the Acquired Immune Deficiency Syn-
drome (AIDS) disease and the crack cocaine problem. Both of
these events have had profound ramifications with regard to
societal conditions. First, AIDS has influenced sexual attitudes,
particularly with regard to safe sex. Second, the proliferation of
crack cocaine has led to the formation of so-called "crack"
houses where in some instances sex is exchanged for crack
cocaine. A possible consequence of this is a reduction in the
number of street prostitutes who are more likely to be subject
to arrest. While no direct relationship can be established
between the downward prostitution arrest trend and these
social factors, further examination of the issues may play an
integral role in understanding the future movement in the
Nation's prostitution arrest trend.
285
Thousands
70
PROSTITUTION ARRESTS
CHART 5.3
ESTIMATED NUMBER of PROSTITUTION ARRESTS
in the UNITED STATES 1970-1993
OTHER
4500
4000
3500
3000
2500
2000
1500
1000
500
1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992
CHART 5.4
ESTIMATED NUMBER of PROSTITUTION ARRESTS
in the UNITED STATES 1970-1993
FOR JUVENILES
■
1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992
286
Child Homicide Victims, 1980-1994
An analysis of murder and nonnegligent manslaughter
incidents in the United States from 1980 to 1994 indicates that
nearly 13,600 children were victimized. For purposes of this
study, children are considered to be aged 12 and under. In 1994,
950 homicides of children were reported to the Nation's law
enforcement agencies. These data are based upon Supplemen-
tary Homicide Reports (SHRs) which are gathered as part of
the FBI's Uniform Crime Reporting (UCR) Program. Law
enforcement agencies which participate in the UCR Program
submit SHRs for homicides which occurred in their
jurisdictions.
It is estimated that children aged 12 and under comprised just
over 4 percent of all homicide victims known to police from
1980 to 1994. While the homicide rate for victims of all ages
has decreased by 12 percent over the past 15 years, the homi-
cide rate of children increased by 6 percent during the same
time period.
Victim Profile
For the 15-year period, the largest age group of victims were
children 1 year of age and younger. They constituted 45 percent
of all child homicide victims. (See Table 5.21.) Within this age
group, newborns and infants (babies under 1 year of age)
accounted for 29 percent of all children murdered between
1980 and 1994.
Table 5.21
Age and Sex of Child Homicide Victims,
Percent Distribution,
United States, 1980-1994
Age
Male
Female
Total
1 and Under
2 lo 4
5 lo 8
24.3%
151
7.0
7.4
20.7%
12.0
6.9
6.6
45.0%
27.1
13.9
9 10 1 2 . .
14 0
Total
53.8
46.2
100.0
Males, who accounted for 54 percent of victims aged 12 and
younger, were at slightly more risk of becoming a child homi-
cide victim than females. Males of all ages constituted 76
percent of murder victims by gender from 1980-1994. While
the majority of child victims (56 percent) were white, a dispro-
portionate number (41 percent) were black. Children of other
races accounted for 3 percent of homicide victims during the
same timeframe.
Offender Profile
A family member was most often the offender in the
murder of a child. Domestic or within-family murders of
children accounted for 54 percent of all cases studied from
1980-1994 (see Table 5.22). In 80 percent of the cases, the
offender(s) either knew or was acquainted with the child
victim. According to this analysis, only a small percentage
(3 percent) of children were killed by someone who was
babysitting for them. Victimization of children by strangers
was infrequent and represented 6 percent of the total number of
child murder cases. Incidents in which the victim-to-offender
relationship was unknown accounted for another 15 percent of
the total.
Table 5.22
Relationship of Child Homicide Victims to Offenders,
Percent Distribution,
United States, 1980-1994
Victim to Offender Relationship
Percent
Within Family
54.2
.7
.6
20.7
24.4
1.5
1.9
.1
Other Family
4.3
Outside Familv But Known to Victim
25.3
12.3
2.3
1.3
9.4
Stranger
6.0
14.5
A sex offense either occurred simultaneously with or pre-
ceded the murder of a child in 3 percent of the cases studied
from 1980-1994. Acquaintances and strangers were identified
in 23 and 20 percent, respectively, of all sex-related murders of
children. In 10 percent of sex-related murders, neighbors were
the offenders.
Victimization of children by strangers between 1980 and
1994 increased steadily with the victim's age, reaching its
highest point with 9-year-olds, after which the rate begins a
slight decrease. Children victimized by strangers were evenly
split by gender for all races. Within racial categories by gender.
287
however, a higher percentage of black male children (60 per-
cent) were victimized than were black females. In cases where
the offender was a stranger, the offender was a male in 95
percent of the murders.
Weapons Usage
Types of weapons used by the offender were influenced by
both the age of the child as well as the relationship of the child
to the offender. In cases where a child was a homicide victim
and the, weapon was known, 47 percent of the victims were
killed with personal weapons (hands, fists, feet, etc.). Follow-
ing were firearms, accounting for 20 percent of the cases in
which a child was murdered (see Table 5.23). Firearms were
the weapons of choice for strangers. A firearm was used in 57
percent of the cases where a stranger was the offender.
Table 5.23
Weapons Used Against Child Homicide Victims,
Percent Distribution,
United States, 1980-1994
Weapon Type
Percent
20.3
Blum Objects
7.2
8.2
47 0
.8
Explosives/Fire
Slrangulalion/Asphyxiation/Drowning
Other
5.2
10.8
5
As the age of the child victims increased, their likelihood of
being killed with a firearm increased. Most newborns and
infants (babies under 1 year of age) were killed with personal
weapons (63 percent), while only 5 percent were killed with
firearms. In contrast, 60 percent of 12-year-old murder victims
were killed with firearms, while only 8 percent were killed
with personal weapons. Similarly, 62 percent of murder victims
across all ages were killed with firearms and 6 percent were
killed with personal weapons over the same 15-year period.
288
SECTION VI
Law Enforcement Personnel
The Nation's law enforcement community employed an
average of 2.3 full-time officers for every 1,000 inhabitants as
of October 31, 1994. Including full-time civilians, the overall
law enforcement employee rate was 3.2 per 1.000 inhabitants
according to 13,124 city, county, and state police agencies
reporting in 1994. These agencies collectively employed
561,543 officers and 220,567 civilians, giving law enforcement
service to nearly 245 million U.S. inhabitants. A listing of
reported full-time law enforcement officers and civilian
employees by state is shown in Table 77.
Varying demographic and other jurisdictional characteristics
greatly affect the requirements for law enforcement service
from one locale to another. The needs of a community having a
highly mobile or seasonal population, for example, may be
very different from those of a city whose population is rela-
tively stable. Similarly, a small community situated between
two large cities may require a greater number of law enforce-
ment personnel than a community of the same size which has
no urban centers nearby.
The functions of law enforcement are also significantly
diverse throughout the Nation. In certain areas, sheriffs'
responsibilities are limited almost exclusively to civil functions
and/or the administration of the county jail facilities. Likewise,
the responsibilities of state police and highway patrol agencies
vary from one jurisdiction to another.
In view of these differing service requirements and respon-
sibilities, care should be used when attempting any comparison
of law enforcement employee rates. The rates presented in the
following tables represent national averages; they should be
viewed as guides or indicators, not as recommended or desir-
able police strengths. Adequate personnel for a specific locale
can be determined only after careful study and analysis of the
various conditions affecting service requirements in that
jurisdiction.
The Nation's cities collectively reported an average of 2.9
law enforcement employees per 1,000 inhabitants. The highest
average, 3.7 employees per 1.000 population, was recorded in
both the Nation's smallest cities, those with fewer than 10,000
inhabitants, and in its largest cities (over 250,000 population).
Rural and suburban county law enforcement agencies averaged
full-time law enforcement employee rates of 4.1 and 3.7 per
1,000 population, respectively. (See Table 70.)
Regionally, the law enforcement employee rate was highest
in the South with 3.4, and lowest in the West, 2.4. (See Table
70.)
Sworn Personnel
Rates based solely on sworn law enforcement personnel
(excluding civilians) showed the national average for all cities
was 2.2 officers per 1,000 inhabitants. By city population
grouping, the rates ranged from 1.7 for cities with populations
of 50.000 to 99.999 to 2.9 in cities with 250,000 or more
inhabitants. Suburban county law enforcement agencies aver-
aged 2.3 officers per 1,000 population, while agencies in rural
counties averaged 2.6. (See Table 71.)
Geographically, the highest rate of officers to population was
recorded in the Southern States where there were 2.6 officers
per 1,000 inhabitants. Following were the Northeastern States
with 2.5, the Midwestern States with 2.1, and the Western
States with 1.7.
Males comprised 91 percent of all sworn employees nation-
ally and in cities. Ninety-three percent of those in rural coun-
ties and 90 percent in suburban counties were males.
Civilian Employees
Civilians made up 28 percent of the total United States law
enforcement employee force in 1994. They represented 22
percent of the police employees in cities, 35 percent in rural
counties, and 38 percent of the suburban county law enforce-
ment strength. Sixty-two percent of all civilian employees were
females.
Law Enforcement Officers Killed and Assaulted
Seventy-six law enforcement officers were feloniously slain
in the line of duty during 1994, 6 more than in 1993. Accidents
occurring while performing official duties claimed the lives of
an additional 62 officers in 1994. The 1994 total for officers
accidentally killed was 3 higher than the 1993 total of 59.
Extensive data on line-of-duty deaths and assaults on city,
county, state, and federal officers can be found in the Uniform
Crime Reporting publication. Law Enforcement Officers Killed
and Assaulted.
289
Table 70. — Full-time Law Enforcement Employees1, Number and Rate per 1,000 Inhabitants, Geographic Region and Division by
Population Group, October 31, 1994
[1994 estimated population]
Geographic region/division
Total
(10.010 cities;
population
164,313.0001
Population group
Group !
165 cities.
250.000
and over;
population
46,841.000)
Group 11
(133 cities,
100.000 lo
249,999;
population
19.542.000)
Group 111
(352 cities.
50.000 to
99.999;
population
24.110.000)
Group IV
(680 cities.
25.000 to
49.999;
population
23.463.000)
Group V
(1.680 cities.
10.000 to
24.999;
population
26.444.000)
Group VI
(7.100 cities.
under
10.000;
population
23.913.000)
474,663
2.9
171,751
3.7
47,779
2.4
54,285
2.3
52.351
2.2
60.650
2.3
87,847
3.7
28.989
2.5
2.487
4.5
3.478
3.4
5.952
2.4
5,809
2.1
6.351
2 1
4.912
27
92,172
3.3
49,461
5.2
3.255
1.0
7.408
2.4
9,568
24
1 1 .943
2.1
10.537
2.2
121.161
3.1
51,948
5.1
6.733
3.2
13360
2.4
15,377
2.3
18,294
2.1
15,449
2.4
80.961
2.7
29.270
4.4
6.137
2.3
9.088
2.1
10.095
2.0
12,747
2.1
13,624
2.8
26.188
2.3
7,170
3.4
2.772
2.2
2,850
1.6
3.014
1.8
4,399
2.1
5,983
2.7
107,149
2.6
36.440
4.1
8.909
2_J
11,938
2.0
13,109
1.9
17,146
2.1
19.607
2.8
76,823
4.0
18,207
4.2
10.521
3.0
9,267
3.2
7.578
3.0
8.839
3.2
22.411
6.9
24.632
3.1
5.126
3.0
3.289
2.8
1,337
27
2.747
2.7
4.487
2.8
7.646
4.1
53.800
2.8
21,439
2.9
5.604
2.3
5.555
2.3
4.186
2.3
6,166
2.4
10.850
4.2
155,255
3.4
44,772
3.4
19.414
2.7
16,159
2.8
14,511
2.7
19,492
2.8
40,907
5.3
26.947
2.6
10.797
2.6
2,985
2.3
3.474
1.9
2.491
22
2.117
2.3
5.083
40
64.151
2.4
27.794
2.6
9.738
1.9
9,354
1.9
6.863
2.0
3.601
2.1
6.801
4.7
91.098
2.4
38.591
2.6
12,723
2.0
12.828
1.9
9,354
2.0
5,718
2.2
11.884
4.4
TOTAL: 10,010 cities; population 164,313,000:
Number of employees ,
Average number of employees per 1,000 inhabitants
New England: 706 cities; population 11,621,000:
Number of employees
Average number of employees per 1.000 inhabuanis
Middle Atlantic: 1,638 cities; population 28,044,000:
Number of employees
Average number of employees per 1.000 inhabitants .
NORTHEAST: 2,344 cities; population 39,665,000:
Number of employees
Average number of employees per 1,000 inhabitants
East North Central: 1.942 cities; population 29.605,000:
Number of employees
Average number of employees per 1.000 inhabitants
West North Central: 865 cities; population 11,180,000:
Number of employees
Average number of employees per 1 ,000 inhabitants
MIDWEST: 2,807 cities; population 40.785.000:
Number of employees
Average number of employees per 1,000 inhabitants
South Atlantic: 1.673 cities; population 19.195.000:
Number of employees
Average number of employees per 1.000 inhabitants
East South Central: 778 cities; population 7,873,000:
Number of employees
Average number of employees per 1.000 inhabitants
West South Central: 1,093 cities; population 19.122.000:
Number of employees
Average number of employees per 1.000 inhabitants
SOUTH: 3,544 cities; population 46,189,000:
Number of employees
Average number of employees per 1,000 inhabitants
Mountain: 565 cities; population 10,527,000:
Number of employees
Average number of employees per 1.000 inhabitants
Pacific: 750 cities; population 27,145,000:
Number of employees
Average number of employees per 1,000 inhabitants
WEST: 1315 cities; population 37,673.000:
Number of employees
Average number of employees per 1,000 inhabitants
Suburban and County
Suburban2: 6,204 agencies; population 99,617.000:
Number of employees
Average number of employees per 1.000 inhabitants
322.513
3.2
County: 3,114 agencies; population 80,204.000:
Number of employees
Average number of employees per 1.000 inhabitants .
'Includes civilians
includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. Population figures
were rounded to the nearest thousand. All rates were calculated before rounding.
290
Table 71. — Full-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Region and Division by
Population Group, October 31, 1994
[1994 estimated population]
Geographic region/division
Total
(10.010 cities;
population
164.322,000)
Population group
Group I
fhs cities,
250.000
and over.
population
46.841.0001
Group II
(133 cities.
100.000 to
249.999;
population
19.542.000)
Group 111
(352 cities.
50.000 to
99,999;
population
24.110,000)
Group IV
(680 cities,
25,000 to
49,999;
population
23.463.000)
Group V
(1.680 cities.
10.000 10
population
26.444.000)
Group VI
|7.10() cities
under
10.000;
population
23,913,000)
TOTAL: 10,010 cities; population 164.313.000:
Number of officers
Average number of officers per 1,000 inhabitants .
New England: 706 cities: population 11,621,000:
Number of officers
Average number of officers per 1 ,000 inhabitants .
Middle Atlantic: 1.638 cities: population 28,044,000:
Number of officers
Average number of officers per 1. 000 inhabitants .
NORTHEAST: 2,344 cities; population 39,665.000:
Number of officers
Average number of officers per 1.000 inhabitants.
East North Central: 1.942 cities: population 29.605.000:
Number of officers
Average number of officers per 1.000 inhabitants
West North Central: 865 cities: population 11.180.000:
Number of officers
Average number of officers per 1 .000 inhabitants
MIDWEST: 2,807 cities; population 40,785,000:
Number of officers
Average number of officers per 1.000 inhabitants.
South Atlantic: 1.673 cities; population 19.195,000:
Number of officers
Average number of officers per 1 ,000 inhabitants
East South Central: 778 cities; population 7,873,000:
Number of officers
Average number of officers per 1 ,000 inhabitants
West South Central: 1,093 cities; population 19,122,000:
Number of officers
Average number of officers per 1,000 inhabitants
SOUTH: 3,544 cities; population 46,189.000:
Number of officers
Average number of officers per 1,000 inhabitants.
Mountain: 565 cities; population 10,527,000:
Number of officers
Average number of officers per 1.000 inhabitants
Pacific: 750 cities; population 27.145,000:
Number of officers
Average number of officers per 1 .000 inhabitants .
368,441
2.2
WEST: 1.315 cities; population 37,673.000:
Number of officers
Average number of officers per 1.000 inhabitants.
24,127
2 1
74.627
2.7
98.754
2.5
65,921
20,382
1.8
86,303
2.1
58.220
3.0
18,996
2.4
40.647
2.1
1 17.863
2.6
19,672
1.9
45.S44
1.7
65.521
1.7
133,714
2.9
1.978
3.6
38,590
4.0
40,568
4.0
24.782
3.7
5,290
2.5
30,072
3.4
14,408
3.4
3.883
2.3
16.355
2.2
34.646
2.6
7.956
2.0
20.472
1.9
28,428
1.9
36,206
1.9
41,868
1.7
41,073
1.8
2.853
2.8
2.752
2.6
5,605
2.7
4.986
1.9
2.102
1.7
7,088
1.8
8,041
2.3
!.323
2.0
4,358
1.8
14.722
2.1
2.121
1.7
6.670
1.3
8.791
1.4
5.158
2.1
6.177
2.0
1,335
2.0
7.218
1.7
2.271
1.3
9,489
1.6
6.905
2.4
1,033
2.1
4.224
1.8
12.162
2.1
2.524
I 4
6.358
1.3
8,882
1.3
5.009
1.8
8,035
2.0
13.044
1.9
7,898
1.6
2,374
1.4
10,272
5,827
2.3
2,152
2.1
3,132
1.7
11.1
1 .809
1.6
4.837
I 4
6,646
1.4
48,555
1.8
5,330
1.8
10,104
15,434
1.8
10,147
1.7
3.477
1.6
13,624
1.7
6,947
2.5
3.551
1 1
4.787
1.8
15.285
2.2
1.542
1.7
2.670
1.6
4,212
1.6
Suburban and County
Suburban1: 6.204 agencies; population 99.617,000:
Number of officers
Average number of officers per 1,000 inhabitants. . .
219.778
County: 3,114 agencies; population 80.204.000:
Number of officers
Average number of officers per 1,000 inhabitants
'Includes suburban city and county lav, enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. Population figures
were rounded to the nearest Uiousand. All rates were calculated before rounding.
291
Table 72.-Full-time Law Enforcement Employees, October 31, 1994
[Range in rate per 1,000 inhabitants]
Rate range
Total1
(9.311 cities;
population
164,322,000)
Group I (65
cities. 250,000
and over;
population
46,841.000)
Group II (133
cities. 100.000
to 249.999;
population
19.542.000)
Group III (352
cities. 50.000
to 99.999;
population
24.110,000)
Group IV (680
cities. 25,000
to 49.999;
population
23.463,000)
Group V( 1,680
cities. 10,000
to 24.999;
population
26.444.000)
Group VI
(6.401 cities
under 10,000;
population
23,922.000)
1-5
Number
153
1.6
1
.3
I
12
.7
139
2.2
.6-1.0
Number
515
5.5
1
.3
12
1.8
62
3.7
440
6.9
1.1-1.5
Number
Percent
1.196
12.8
1
1.5
8
60
38
10.8
86
12.6
185
11.0
878
13.7
1.6-2.0
Number
Percent
1.896
20.4
5
7.7
37
27.8
124
35.2
214
31.5
431
25.7
1.085
17.0
2.1-2.5
Number
Percent
1,823
19.6
16
24.6
40
30.1
94
26.7
192
28.2
451
26.8
1.030
16.1
2.6-3.0
Number
Percent
1,274
13.7
18
27.7
25
18.8
49
13.9
93
13.7
264
15.7
825
12.9
3.1-3.5
Number
Percent
795
8.5
7
10.8
12
90
25
7.1
46
6.8
141
8.4
564
8.8
3.6^.0
Number
Percent
500
5.4
8
12.3
8
6.0
10
2.8
18
2.6
72
4.3
384
6.0
4.1-4.5
Number
Percent
326
3.5
3
4.6
2
1.5
3
.9
9
1.3
39
2.3
270
4.2
4.6-5.0
Number
Percent
217
2.3
3
4.6
1
.8
6
1.7
6
.9
13
.8
188
2.9
Number
Percent
616
6.6
9,311
100.0
4
6.2
65
IIHIII
1
.3
352
100.0
3
.4
680
100.0
10
.6
1.680
100.0
598
9.3
Total
Percent2
133
100.0
6,401
100.0
'The number of agencies used to compile these figures differs from the other Law Enforcement Employee tables because small agencies with no resident population are excluded from this table
2Because of rounding, percentages may not add to totals.
292
Table 73.— Law Enforcement Officers, October 31, 1994
[Range in rate per 1.000 inhabitants]
Rate range
Total1
(9.311 cities.
population
164.322,000)
Group I (65
cities. 250.000
and over;
population
46.841.000)
Group II (133
cities. 100,000
to 249,999;
population
19.542.000)
Group III (352
cities. 50,000
to 99.999;
population
24,110.000)
Group IV (680
cities. 25.000
to 49,999;
population
23.463,000)
Group V (1.680
cities. 10,000
to 24,999;
population
26.444.000)
Group VI1
(6.401 cities
under 10.000;
population
23,922,000)
,1-5
Number
176
19
1
.3
4
.6
16
1.0
155
24
.5-1.0
Number
Percent
710
7,6
1
1.5
3
2.3
27
7.7
51
7.5
106
6.3
522
8.2
1.1-1.5
Number
Percent
2.132
22.9
9
13.8
46
34.6
126
35.8
225
33.1
454
27.0
1.272
199
1.6-2.0
Number
Percent
2.496
26.8
18
27.7
41
30.8
121
34.4
240
35.3
577
34.3
1.499
23.4
2.1-2.5
Number
Percent
1.548
166
15
23.1
25
18.8
40
11.4
97
14,3
306
18.2
1,065
16.6
2.5-3.0
Number
Percent
881
95
9
13.8
13
9.8
23
6.5
43
6.3
135
8.0
658
10.3
3.1-3.5
Number
Percent
456
4.9
3
4.6
5
3.8
11
3.1
13
1.9
58
3.5
366
57
3.6-4.0
Number
Percent
Number
276
3.0
183
2.0
5
7.7
3
4.6
2
.6
1
.3
6
.9
19
1.1
5
.3
244
38
4.1-4.5
174
2.7
4.6-5.0
Number
Percent
Number
Percent
100
1.1
353
3.8
9,311
100.0
1
1.5
1
1.5
65
100.0
3
.2
1
96
1 5
680
100.0
350
55
Total
Percent2
133
100.0
352
100.0
1,680
100.0
6.401
100.0
'The number of agencies used to compile these figures differs from the other Law Enforcement Officer tables because small agencies with no resident population are excluded from this table,
2Because of rounding, percentages may not add to totals.
293
Table 74. — Law Enforcement Employees, Percent Male and Female, October 31, 1994
[1994 estimated population]
Population group
Total police employees
Total
Percent
male
Percent
female
Police officers (sworn)
Total
Percent
male
Percent
female
Civilian employees
Total
Percent
male
Percent
female
TOTAL AGENCIES: 13,124 agencies;
population 244417,000:
TOTAL CITIES: 10,010 cities;
population 164,313,000:
782,110
474,663
75.6
77.1
24.4
22.9
561,543
368.441
90.5
90.7
9.5
9.3
220467
106,222
37.7
30J
62J
69.7
Group i
65 cities, 250.000 and over;
population 46,841.000:
9 cities, 1.000.000 and over;
population 21.338.000:
19 cities, 500.000 to 999.999;
population 12,329.000:
37 cities. 250.000 to 499.999;
population 13.174.000:
Group II
133 cities. 100.000 to 249.999;
population 19.542.000:
Group III
352 cities. 50.000 to 99,999;
population 24.110.000:
Group IV
680 cities. 25,000 to 49,999;
population 23.463.000:
Group V
1.680 cities. 10.000 to 24.999;
population 26.444.000:
Group VI
7,100 cities, under 10.000;
population 23,913,000:
Suburban Counties
852 agencies, population 51,457,000: .
Rural Counties
2.262 agencies; population 28.747.000:
171.751
93,193
40.492
38,066
47.779
54.285
52,351
60,650
190.760
116.687
73.6
72.6
76.0
73.6
75.3
26.4
27.4
24.0
26.4
24.7
133.714
72,703
32,029
28.982
85.8
84.6
87.2
87.4
14.2
15.4
12.8
12.6
38.037
20.490
8.463
9.084
11.573
30.8
30.1
33.6
29.8
26.6
69.2
69.9
66.4
70.2
73.4
41.868
93 1
79.3
80.5
72.3
20.7
18.7
27.7
6.0
11.278
25.7
74.3
48,555
88.6
20.822
73,091
41,254
Suburban Area1
6,204 agencies; population 99,617.000:
75.6
24.4
219,778
102.735
42.5
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups
Table 75. — Civilian Law Enforcement Employees, Percent of Total, Population Group, October 31, 1994
(1994 estimated population]
Population group
Percent
civilian
employees
Population group
Percent
civilian
employees
TOTAL AGENCIES: 13,124 agencies;
28.2
22.4
Group IV
680 cities. 25.000 to 49,999;
21,5
TOTAL CITIES: 10,010 cities;
Group V
1,680 cities. 10,000 to 24,999;
22,1
22.0
20.9
23.9
24.2
22.9
199
Group I
65 cities, 250,000 and over;
Group VI
7,100 cities under 10.000;
9 cities, 1 ,000,000 and over,
23.7
Suburban Counties
852 agencies;
19 cities, 500.000 to 999,999;
population 12.329,000-
37 cities, 250,000 to 499.999;
38.3
Rural Counties
2,262 agencies;
population 28.747.000:
Group II
133 cities. 100.000 to 249.999;
35.4
Group 111
352 cities. 50.000 to 99,999;
Suburban Area1
6,204 agencies;
31.9
population 24,1 10.000:
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
294
Table 76. — Full-time State Law Enforcement Employees, October 31, 1994
Number of law enforcement employees
Officers
Male
Number of law enforcement employees
Officers
ALABAMA:
Department of Public
Safety
Other state agencies. .
ALASKA:
State Police
ARIZONA:
Department of Public
Safety
Other slate agencies. .
ARKANSAS:
State Police
CALIFORNIA:
Highway Patrol
Other stale agencies. .
COLORADO:
Stale Patrol
Ofher state agencies. .
CONNECTICUT:
State Police
DELAWARE:
Stale Police
Olher state agencies. .
FLORIDA:
Highway Patrol
Other state agencies. .
GEORGIA:
Department of Public
Safety
Other state agencies. .
IDAHO:
Slate Police
Other state agencies. .
ILLINOIS:
State Police
Olher slate agencies. .
INDIANA:
State Police
IOWA:
Department of Public
Safety
KANSAS:
Highway Palrol
Other state agencies. .
KENTUCKY:
State Police
Other state agencies. .
LOUISIANA:
Stale Police
MAINE:
State Police
Other slate agencies. .
MARYLAND:
State Police
Other stale agencies. .
MASSACHUSETTS:
Stale Police
MICHIGAN:
Slate Police
MINNESOTA'
MISSISSIPPI:
Highway Safety Patrol.
MISSOURI:
State Highway Patrol .
1,256
205
1.394
59
8.600
1,145
743
498
815
326
1.573
716
764
1.841
625
163
787
26
5.205
817
492
281
676
457
222
156
2.047
1,395
2.705
1,212
1.668
861
1,588
1,019
221
165
56
39
3.374
1.746
554
393
542
189
879
577
445
298
128
41
2.251
1,438
1,639
959
2.583
2,134
2,950
1.770
500
838
481
140
150
131
30
111
152
29
I 14
169
218
221
27
204
7
43
273
20
1.290
54
184
524
285
134
104
46
358
25
341
287
125
450
64
550
415
29
132
281
12
1.624
134
150
86
298
112
318
838
492
324
109
80
313
86
358
224
106
509
192
426
MONTANA:
Highway Palrol ....
Other state agencies.
NEBRASKA:
Slate Palrol
NEVADA:
Highway Palrol ....
NEW HAMPSHIRE:
Slate Police
NEW JERSEY:
State Police
NEW MEXICO:
State Police
NEW YORK:
Stale Police
Other state agencies. . .
NORTH CAROLINA:
Highway Patrol
Other state agencies. .
NORTH DAKOTA:
Highway Patrol
OHIO:
Stale Highway Patrol.
OKLAHOMA:
Department of Public
Safety
Other state agencies. .
OREGON:
Stale Police
Other stale agencies. .
PENNSYLVANIA:
Stale Police
Other state agencies. .
RHODE ISLAND:
State Police
Other stale agencies. .
SOUTH CAROLINA:
Highway Palrol
Olher state agencies. .
SOUTH DAKOTA:
Highway Patrol
TENNESSEE:
Department of Public
Safely
TEXAS:
Department of Public
Safety
UTAH:
Highway Palrol
VERMONT:
State Police
VIRGINIA:
State Police
Other stale agencies.
WASHINGTON:
State Patrol
WEST VIRGINIA:
Slate Police
Other state agencies
WISCONSIN:
State Patrol
Other state agencies.
WYOMING:
Highway Patrol ....
248
279
629
525
338
3.611
559
4,802
377
1.650
1.841
184
2.438
1.271
52
1.020
56
5,418
227
249
54
1,194
983
1,571
5,972
409
424
2,319
1,251
1,927
851
118
668
269
180
195
433
327
225
2.607
402
3,760
1.274
1.251
115
1.338
711
50
762
37
4.160
164
193
38
921
684
708
2,536
360
268
1,654
306
933
524
107
409
211
15
16
17
36
20
84
22
48
23
32
67
400
10
43
311
258
14
63
8
209
120
145
3
39
97
466
6
1
266
43
58
8
147
503
18
6
14
25
3
6
22
104
80
44
197
558
483
94
110
16
'1994 data were not received in time to be included
NOTE: The responsibilities of the various state police, highway patrol
these data from state to state must take these factors and those on page iv
and departments of public safety agencies range from full law enforcement duties to traffic palrol only. Any comparison of
into consideration.
295
Table 77. — Full-time Law Enforcement Employees, State, 1994
[1994 estimated population]
Total
employees
Officers
Male Female
Civilians
Male Female
State
MONTANA: 98 agencies;
Population 855,000:
NEBRASKA: 165 agencies;
Population 1.623,000:
NEVADA: 34 agencies;
Population 1,456.000:
NEW HAMPSHIRE: 105 agencies;
Population 919.000:
NEW JERSEY: 529 agencies;
Population 7.634.000:
NEW MEXICO: 92 agencies;
Population 1.498.000:
NEW YORK: 410 agencies;
Population 14,595,000:
NORTH CAROLINA: 500 agencies
Population 6.919,000:
NORTH DAKOTA: 99 agencies;
Population 637.000:
OHIO: 499 agencies;
Population 10.640.000:
OKLAHOMA: 284 agencies;
Population 3.251,000:
OREGON: 171 agencies;
Population 3.083,000:
PENNSYLVANIA: 843 agencies;
Population 8.871.000:
RHODE ISLAND: 43 agencies;
Population 991,000:
SOUTH CAROLINA: 240 agencies;
Population 3,664,000:
SOUTH DAKOTA: 97 agencies;
Population 686.000:
TENNESSEE: 247 agencies;
Population 4.633.000:
TEXAS: 899 agencies;
Population 18.377,000:
UTAH: 119 agencies;
Population 1 .870,000:
VERMONT: 51 agencies;
Population 580,000:
VIRGINIA: 269 agencies;
Population 6,539.000:
WASHINGTON: 226 agencies;
Population 5.199.000:
WEST VIRGINIA: 235 agencies;
Population 1,512.000:
WISCONSIN: 332 agencies;
Population 5,034,000:
WYOMING: 67 agencies;
Population 475,000:
Total
employees
Officers
Male Female
Male Female
ALABAMA: 309 agencies;
Population 4,217,000: . . .
ALASKA: 37 agencies;
Population 603,000: .
ARIZONA: 101 agencies;
Population 4.067,000: . .
ARKANSAS: 189 agencies;
Population 2,449,000:
CALIFORNIA: 463 agencies;
Population 28.157,000:
COLORADO: 230 agencies;
Population 3,464,000:
CONNECTICUT: 99 agencies;
Population 2,781.000:
DELAWARE: 42 agencies;
Population 537,000:
DISTRICT OF COLUMBIA: 2 agencies;
Population 570,000:
FLORIDA: 356 agencies;
Population 13,678,000:
GEORGIA: 548 agencies;
Population 6.615,000: . .
HAWAII: 5 agencies;
Population 1.179,000:
IDAHO: 104 agencies;
Population 1.125.000:
ILLINOIS: 737 agencies;
Population 11,707.000: .
INDIANA: 238 agencies;
Populauon 5,504,000: .
IOWA: 230 agencies;
Population 2,818,000:
KANSAS: 333 agencies;
Population 2,478,000: ,
KENTUCKY: 399 agencies;
Population 3,783,000:
LOUISIANA: 194 agencies;
Population 4,309,000:
MAINE: 133 agencies;
Population 1,224,000:
MARYLAND: 125 agencies;
Populauon 4,792.000:
MASSACHUSETTS: 309 agencies;
Population 5,816,000:
MICHIGAN: 568 agencies;
Populauon 9,463.000: . . .
MINNESOTA: 252 agencies;
Population 4,204.000:
MISSISSIPPI: 178 agencies;
Population 2,270,000:
MISSOURI: 289 agencies;
Population 5,166,000: . . .
12,682
1.587
13,689
8,047
953
7.420
3,874
53.230
4.780
58,336
25.179
3.293
2.723
3,190
2.374
1,825
28.066
8.927
16.859
2,596
16,711
25.062
6.113
5.432
6,312
11,609
1,850
13.443
16.814
3.933
739
250
6,096
1.474
135
2.536
960
9.057
2,465
427
2.994
1.244
18.552
2,249
1.184
190
120
3,395
122
3.519
2.050
2,045
270
1,096
317
1,575
2.573
2.566
1.175
1,445
2,104
338
3,630
2,066
4,091
5,141
3.197
26.055
9,123
6,612
25,696
2.893
10,038
1,533
65.528
4,341
1,152
11.854
3.779
14.971
14.207
18.443
5,832
4.62;
20.107
2.234
36.417
3.030
7.763
10.277
1.062
1,392
226
1,600
117
3.748
213
1.282
652
463
2.305
431
3.823
2.483
3.123
4,637
933
9,878
3,431
237
4,468
367
1.106
1.128
279
1,495
2.923
14.216
731
3,191
2,333
2.383
1,916
296
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
25
19
6
14
10
4
5
5
4
5
6
7
4
5
6
11
4
36
30
6
4
4
23
29
6
35
29
6
5
5
18
13
5
13
12
1
11
7
4
15
9
6
25
21
4
14
9
5
7
7
7
11
4
2
2
5
5
5
2
3
88
65
23
122
97
25
31
24
7
444
330
114
3
3
29
24
5
19
15
4
24
18
6
59
40
19
4
3
1
4
3
1
3
3
19
13
6
30
26
4
28
22
6
4
4
4
4
15
10
5
6
6
9
5
4
6
3
3
14
9
5
3
3
5
5
15
11
4
45
34
11
12
8
4
6
4
2
16
12
4
7
4
3
17
13
4
613
433
180
30
25
5
13
9
4
575
427
148
11
10
1
3
3
9
9
7
4
3
58
46
12
27
1
27
1
6
6
4
4
4
2
2
55
45
10
8
4
4
4
3
1
14
13
1
99
74
25
25
19
6
20
15
5
ALABAMA
14
17
3
32
39
63
9
34
130
22
9
4
II
II
42
21
23
77
23
16
4
98
1.007
10
29
5
24
10
II
15
13
10
5
3
12
5
6
4
17
II
20
3
3
8
II
6
2
4
II
47
8
20
40
131
26
162
6
9
20
53
45
12
21
58
16
6
10
II
7
110
28
40
18
139
7
4
85
22
29
14
115
27
5
31
8
44
19
5
4
26
8
97
33
17
5
5
4
2
2
6
5
8
3
33
9
18
3
17
6
65
12
18
5
11
5
.1
81
17
758
249
6
4
24
5
5
19
5
6
4
5
6
10
5
9
4
7
3
5
3
8
4
5
6
4
13
4
7
4
19
1
2
1
3
5
3
7
4
4
2
2
4
9
2
38
9
8
15
5
28
12
105
26
19
7
107
55
4
2
5
4
14
6
41
12
34
11
8
4
15
6
47
11
15
1
4
2
in
ALABAMA— Continued
Gardendale
Geneva
Glencoe
Goodwater
Gordo
Graysville
Greensboro
Greenville
Guin
Gulf Shores
Guntersville
Gurley
Haleyville
Hamilton
Hanceville
Hartford
Hartselle
Headland
Heflin
Helena
Hillsboro
Hokes Bluff
Hollywood
Homewood
Hoover
Hueytown
Huntsville.
Hurtsboro
Irondale
Jackson
Jacksonville
Jasper
Jemison
Killen
Kimberly
Lafayette
Lanett
Leeds
Leighton
Level Plains
Lincoln
Linden
Lineville
Lipscomb
Livingston
Louisville
Loxley
Luverne
Madison
Marion
Mcintosh
Midfield
Midland City
Millbrook
Mobile
Monroeville
Montevallo
Montgomery
Moody :
Morris
Moullon
Moundville
Mountain Brook
Muscle Shoals ,
Napier Field
New Brockton
New Hope
Newton
Northport
Notasulga
Oakman
Oneonla
Opelika
Opp...
Orange Beach
297
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ALABAMA— Continued
Oxford
Ozark
Pelham
Pell City
Pennington
Phenix City
Phil Campbell
Pickensville
Piedmont
Pisgah
Pleasant Grove
Prattville
Priceville
Pnchard
Rainbow City
Ratnsville
Ranburne
Reform
Roanoke
Robertsdale
Russellville
Samson
Saraland
Satsuma
Scottsboro
Selma
Sheffield
Somerville
Southside
Springville
Stevenson
Sumiton
Summerdale
Sylacauga
Talladega
Tallassee
Tarrant City
Thomasville
Thorsby
Town Creek
Troy
Trussville
Tuscaloosa
Tuscumbia
Tuskegee
Union Springs
Valley
Vance
Vestavia Hills
Wadley
Warrior
Weaver
Werumpka
Winfield
York
ALASKA
Anchorage
Bethel
Bristol Bay Borough
Cordova
Craig
Dillingham
Fairbanks
Haines
Homer
Juneau
Kenai
Ketchikan
Klawock
Kodiak
North Pole
North Slope Borough
Palmer
42
53
46
24
1
76
5
2
18
1
16
55
4
81
26
14
3
3
19
12
23
10
33
13
55
81
30
4
II
4
9
6
3
43
50
17
22
16
2
4
61
24
249
22
43
14
29
1
42
7
9
9
21
392
19
10
II
8
14
50
10
1
65
24
29
4
33
II
82
22
34
41
36
22
1
60
5
2
13
1
12
47
4
59
18
10
2
3
18
8
19
6
27
9
35
58
25
2
6
4
5
5
3
36
38
14
17
12
2
4
47
19
193
22
34
II
22
1
41
4
6
8
16
8
7
249
10
4
5
4
5
34
5
12
42
16
21
3
16
7
47
9
143
9
6
6
4
9
16
5
6
23
8
8
1
17
4
35
13
ALASKA— Continued
Petersburg
Seward
Skagway
Soldotna
Togiak
Wasilla
Wrangell
ARIZONA
Apache Junction
Avondale
Benson
Bisbee
Buckeye
Bullhead City
Camp Verde
Casa Grande
Chandler
Chino Valley
Clarkdale
Coolidge
Cottonwood
Eagar
El Mirage
Flagstaff
Florence
Gilbert
Glendale
Globe
Goodyear
Hayden
Holbrook
Huachuca City
Jerome
Kearny
Kingman
Lake Havasu City
Mammoth
Marana
Mesa
Miami
Nogales
Paradise Valley
Parker
Payson
Peoria
Phoenix
Pima
Pinetop-Lakeside
Prescott
Prescotl Valley
Quartzsite
Safford
St. Johns
San Luis
Scottsdale
Sedona
Show Low
Sierra Vista
Snowflake-Taylor
Somerton
South Tucson
Spnngerville
Superior
Surprise
Tempe
Thatcher
Tolleson
Tombstone
Tucson
Wellton
Wickenburg
Willcox
Winslow.
59
43
16
18
24
90
23
66
214
17
8
25
29
7
15
112
19
82
308
28
25
7
20
10
3
10
54
72
5
38
746
8
76
40
13
30
98
2.844
2
19
75
24
7
17
7
21
367
24
24
49
15
15
22
7
12
21
378
7
23
6
1,019
3
15
15
30
1
9
4
in
2
10
6
43
35
10
12
16
56
13
47
157
II
8
19
16
6
10
78
13
58
226
20
19
6
15
5
3
7
37
52
5
31
502
5
58
31
II
20
71
2.088
2
13
49
17
6
15
6
15
238
17
16
36
12
II
15
5
8
19
263
7
16
5
772
3
in
10
21
298
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Toial
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ARIZONA— Continued
Younglown
ARKANSAS
Alma
Arkadelphia
Ashdown
Bald Knob
Barling
Beebe
Benton
Bentonville
Berryville
Blytheville
Booneville
Brinkley
Bryant
Bull Shoals
Cabot
Camden
Carlisle
Clarksville
Conway
Corning
Crossett
Danville
Dardanelle
De Queen
Dermott
Des Arc
De Witt
Dumas
Earle
Elaine
El Dorado
England
Eudora
Eureka Springs - .
Fayetteville
Fordyce
Forrest City
Fort Smith
Greenbrier
Green Forest
Greenwood
Gurdon
Hamburg
Harrison
Hazen
Heber Springs . - .
Helena
Hope
Horseshoe Bend -
Hot Springs
Hoxie
Jacksonville
Jonesboro
Judsonia
Kensett
Lake Village
Lincoln
Little Rock
Lonoke
Magnolia
Malvern
Marianna
Marion
Marked Tree
Maumelle
McGehee
Mena
Monticello
Mornlton
Mountain Home .
Mountain View . .
9
14
99
12
36
163
2
8
7
5
7
33
9
18
23
29
8
95
10
69
91
4
3
12
5
524
14
21
22
15
13
13
35
12
10
22
21
25
5
13
4
28
10
5
4
II
7
66
13
8
4
12
7
5
4
3
10
2
7
5
1
10
5
13
6
5
3
52
9
5
5
5
4
9
5
66
33
9
3
26
10
125
38
2
6
2
7
4
1
6
1
23
10
5
4
11
7
19
4
22
7
7
1
77
18
6
4
52
17
72
19
3
1
3
8
4
5
44h
78
9
5
17
4
15
7
12
3
12
1
9
4
19
16
8
4
in
ARKANSAS— Continued
Nashville
Newport
North Little Rock
Osceola
Ozark
Paragould
Paris
Piggott
Pine Bluff
Pocahontas
Prairie Grove
Prescolt
Rogers
Russellville
Searcy
Sheridan
Sherwood
Siloam Springs
Smackover
Spnngdale
Star City
Stuttgart
Texarkana
Trumann
Van Buren
Waldron
Walnut Ridge
Warren
West Fork
West Helena
West Memphis
Wynne
CALIFORNIA
Adelanto
Alameda
Albany
Alhambra
Alturas
Anaheim
Anderson
Angels Camp
Antioch
Arcadia
Areata
Arroyo Grande
Arvin
Atascadero
Alherton
Atwater
Auburn
Azusa
Bakersfield
Baldwin Park
Banning
Barstow
Bear Valley Springs
Beaumont
Bell
Bell Gardens
Belmont
Belvedere
Benicia
Berkeley
Beverly Hills
Bishop
Blue Lake
Blythe
Brawley
Brea
Brentwood
Brisbane
Broadmoor
Buena Park
10
17
198
34
8
33
13
7
151
18
7
10
65
46
53
7
64
33
5
80
4
30
91
17
29
6
12
19
3
25
31
136
32
151
8
542
23
7
111
95
28
29
17
35
22
28
22
87
343
82
44
54
11
22
53
77
44
8
46
308
185
21
3
28
37
125
16
20
10
137
9
16
169
24
5
28
8
6
119
13
5
6
52
40
40
6
55
21
4
59
4
20
70
12
23
6
8
13
3
19
75
17
20
95
28
87
7
375
14
6
82
76
20
20
10
27
19
22
17
55
250
68
30
38
6
16
42
55
31
7
33
183
128
14
3
19
27
102
16
15
10
87
299
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tolal
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNIA— Continued
Burbank
Burlingame
Calexico
California City
Calipalria
Calistoga
Campbell
Capitola
Carlsbad
Carmel
Cathedral City
Ceres
Chico
China Lake
Chino
Chowchilla
Chula Vista
Claremont
Clayton
Clearlake
Cloverdale
Clovis
Coachella
Coalinga
Colfax
Colma
Colton
Colusa
Compton
Concord
Corcoran
Corning
Corona
Coronado.
Costa Mesa
Cotati
Covina
Crescent City
Culver City
Cypress
Daly City
Davis
Delano
Del Ray Oaks
Dinuba
Dixon
Dorris
Dos Palos
Downey
East Palo Alto
El Cajon
El Centra
El Cerrilo
El Monte
El Segundo
Emeryville
Escalon
Escondido
Etna
Eureka
Exeter
Fairfax
Fairfield
Farmersville
Ferndale
Firebaugh
Folsom
Fontana
Fort Bragg
Fortuna
Foster City
Fountain Valley
Fowler
Fremont
Fresno
246
54
44
19
6
12
57
35
107
24
65
64
113
60
121
19
255
57
11
22
14
104
27
26
7
19
84
9
209
201
22
17
173
55
210
17
85
13
156
79
133
71
49
4
24
22
3
7
154
43
187
82
35
159
83
46
12
213
1
75
13
16
133
II
3
13
46
160
22
18
54
95
6
273
710
156
45
27
13
5
9
41
24
80
15
44
34
65
40
79
13
170
39
9
16
10
72
19
17
6
15
64
8
128
147
16
13
114
40
143
12
54
12
119
53
99
51
41
4
12
11
86
10
3
9
36
108
18
14
41
65
5
183
483
19
5
18
4
2
1
7
118
36
34
9
121
66
47
35
30
5
124
35
62
21
31
15
7
5
146
1
67
13
30
1
90
227
CALIFORNIA— Continued
Fullerton
Gait
Gardena
Garden Grove
Gilroy
Glendale
Glendora
Gonzales
Grass Valley
Greenfield
Gridley
Graver City
Guadalupe . .*.
Gustine
Half Moon Bay
Hanford
Hawthorne
Hayward
Healdsburg
Hemet
Hercules
Hermosa Beach
Hillsborough
Hollister
Holtville
Hughson
Huntington Beach
Huntington Park
Huron
Imperial
Indio
Ingelwood
lone
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
Madera
Mammoth Lakes
Manhattan Beach
Manteca
Manna
Martinez
Marysville
Maywood
Menlo Park
Merced
Millbrae
Mill Valley
Milpitas
Modesto
216
27
111
225
87
274
74
II
26
13
18
23
7
9
15
55
151
251
26
66
23
54
34
33
II
8
372
96
13
15
62
284
5
173
26
3
12
8
15
16
16
78
96
13
3
81
30
54
27
18
28
104
21
102
56
1,117
29
43
10.744
38
65
60
18
93
62
27
55
34
36
69
116
30
35
105
282
147
17
89
160
53
216
53
10
18
12
II
16
6
8
13
39
101
156
16
52
20
35
27
26
8
7
225
63
9
14
41
203
5
126
20
3
9
8
13
14
II
46
66
II
3
60
24
40
21
13
17
64
15
70
42
795
23
29
7,869
26
44
44
15
61
42
22
42
22
26
49
81
24
22
78
203
300
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNIA— Continued
Monrovia
Monlclair
Montebello
Monterey
Monterey Park
Moraga
Morgan Hill
Morro Bay
Mountain View
Mount Shasta
Murneta
Napa
National City
Nevada City
Newark
Newman
Newport Beach
Novato
Oakdalc
Oakland
Oceanside
Ontario
Orange
Orland
Oroville
Oxnard
Pacifica
Pacific Grove
Palm Springs
Palo Alto
Palos Verdes Estates
Paradise
Parlier
Pasadena
Paso Robles
Patterson
Perns
Petaluma
Piedmont
Pinole
Pismo Beach
Pittsburg
Placentia
Placerville
Pleasant Hill
Pleasanton
Pomona
Porterville
Port Hueneme
Red Bluff
Redding
Redlands
Redondo Beach
Redwood City
Reedley
Riallo
Richmond
Ridgecrest
Rio Dell
Rio Vista
Ripon
Riverbank
Riverside
Rocklin
Rohnert Park
Roseville
Ross
Sacramento
St- Helena
Salinas
San Anselmo
San Bernardino
San Bruno
San Carlos
Sand City
79
73
134
73
125
13
35
24
108
14
32
104
93
10
69
II
208
75
29
1,006
245
304
201
10
34
236
53
39
117
167
33
34
12
331
36
16
72
78
27
31
35
78
68
22
60
100
297
62
26
39
153
103
152
113
28
142
273
37
6
9
13
23
488
42
84
115
9
912
16
175
23
409
58
45
51
94
58
80
12
22
18
78
9
23
65
66
8
51
10
139
51
21
671
163
199
141
9
23
161
41
29
75
91
23
23
11
232
29
14
48
55
20
21
24
66
51
17
41
68
174
39
19
21
93
71
93
80
21
95
183
13
18
318
28
52
68
9
569
12
134
17
265
47
34
5
105
60
1
II
75
12
10
42
76
10
II
1
99
7
2
24
23
7
10
11
12
17
5
19
32
123
23
7
18
60
32
59
33
7
47
90
9
5
170
14
32
47
343
4
41
6
144
II
11
CALIFORNIA— Continued
San Diego
San Fernando
San Francisco
San Gabhel
Sanger
San Jacinto
San Jose
San Leandro
San Luis Obispo
San Manno
San Mateo
San Pablo
San Rafael
Santa Ana
Santa Barbara
Santa Clara
Santa Cruz
Santa Mana
Santa Monica
Santa Paula
Santa Rosa
Sausalito
Scotts Valley
Seal Beach
Seaside
Sebastopol
Selma
Shafter
Sierra Madre
Signal Hill
Simi Valley
Soledad
Sonoma
Sonora
South Gate
South Lake Tahoe
South Pasadena
South San Francisco
Stallion Spnngs
Stockton
Suisun City
Sunnyvale
Susanville
Sutter Creek
Taft
Tiburon
Torrance
Tracy
Trinidad
Tulare
Turlock
Tustin
Twin Cities
Ukiah
Union City
Upland
Vacaville
Vallejo
Ventura
Vernon
Visalia
Walnut Creek
Waterford
Walsonville
Weed
West Covina
Westminster
Westmorland
West Sacramento
Wheatland
Whittier
Williams
Wilhts
Willows
Winters
2,641
49
2 229
62
31
36
1,593
127
80
31
129
48
97
605
220
180
115
106
358
34
214
25
28
45
53
19
32
25
20
42
168
18
21
16
125
72
50
102
3
495
30
184
17
6
19
18
339
65
3
61
79
122
41
37
97
114
129
189
182
78
131
106
7
75
13
150
147
4
67
4
128
7
17
10
10
1,972
35
1,823
52
23
26
1,209
86
55
26
94
40
67
390
139
143
80
77
196
28
143
20
20
33
43
14
21
19
14
30
111
16
14
12
89
52
31
73
3
336
21
121
16
5
14
15
240
43
3
42
53
84
32
25
63
81
81
126
117
57
88
78
6
57
8
110
100
4
48
4
91
6
12
301
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNIA— Continued
Woodlake
Woodland
Yreka
Yuba City
COLORADO
Akron
Alamosa
Alma
Arvada
Aspen
Ault
Aurora
Avon
Basalt
Berthoud
Black Hawk
Boulder
Bow Mar
Breckenridge
Brighton
Broomfield
Brush
Buena Vista
Burlington
Canon City
Carbondale
Castle Rock
Cedaredge
Center
Central City
Cherry Hills Village
Colorado Springs
Columbine Valley
Commerce City
Corlez
Craig
Crested Butte
Cripple Creek
Dacono
De Beque
Del Norte
Delta
Denver
Dillon
Durango
Baton
Edgewater
Elizabeth
Empire
Englewood
Erie
Estes Park
Evans
Fairplay
Federal Heights
Firestone
Florence
Fort Collins
Fort Lupton
Fort Morgan
Fountain
Fowler
Frederick
Frisco
Fruita
Georgetown
Glendale
Glenwood Springs
Golden
Grand Junction
Greeley
Green Mountain Falls
Greenwood Village
II
22
2
171
32
3
630
II
6
6
27
191
2
23
39
60
12
5
7
36
10
23
3
6
16
24
667
3
66
33
26
6
24
6
1
5
15
1.568
6
50
5
17
3
1
84
4
23
16
2
28
3
12
172
17
30
26
4
4
9
9
4
37
24
37
108
144
2
61
7
19
1
117
23
3
440
9
5
4
17
129
2
16
28
45
10
4
7
26
9
18
3
6
13
21
473
3
48
22
17
5
16
5
1
4
12
1.378
5
31
4
14
3
1
61
3
14
13
2
19
3
7
115
12
24
15
4
4
190
2
1
3
3
194
3
190
1
19
1
3
COLORADO— Continued
Gunnison
Haxtun
Hayden
Holly
Holyoke
Idaho Springs
Ignacio
Johnstown
Kersey
Kremmling
Lafayette
La Jara
La Junta
Lakewood
Lamar
La Salle
Las Animas
Leadville
Limon
Littleton
Log Lane Village
Longmont
Louisville
Loveland
Manassa
Manitou Spnngs
Manzanola
Meeker
Milliken
Minium
Monte Vista
Montrose
Morrison
Mountain View
Mount Crested Butte
New Castle
Northglenn
Olathe
Pagosa Springs
Palisade
Palmer Lake
Paonia
Parachute
Parker
Platteville
Pueblo
Rangely
Ridgway
Rifle
Rocky Ford
Sahda
Sheridan
Silverthorne
Snowmass Village
Steamboat Springs
Sterling
Stratton
Telluride
Thornton
Trinidad
Vail
Victor
Walsenburg
Westminster
Wheat Ridge
Wiggins
Windsor
Woodland Park
Wray
Yuma
CONNECTICUT
Ansonia
Avon
9
4
4
2
4
30
4
19
325
25
5
5
8
6
72
2
no
28
92
1
19
1
4
3
3
18
31
1
2
5
2
60
5
5
6
3
3
9
28
4
230
9
13
7
14
23
16
II
27
36
3
10
115
25
48
3
16
182
86
1
10
22
12
7
3
2
3
7
4
4
2
4
23
4
16
220
20
5
5
7
5
55
2
82
22
62
1
14
1
4
3
3
13
26
1
2
5
2
44
4
5
5
3
3
3
20
4
180
5
2
12
6
14
17
15
8
19
23
1
17
30
3
II
120
60
1
9
16
6
6
32
33
302
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Ciiy
Total
police
employees
Tolal
officers
Tolal
civilians
City
Tolal
police
employees
Tolal
officers
CONNECTICUT— Continued
Berlin
Bethel
Bloomfield
Branford
Bridgeport
Bristol
Brookfield
Canton
Cheshire
Clinton
Coventry
Cromwell
Danbury
Darien
Derby
East Hampton
East Hartford
East Haven Town
Easton
East Windsor
Enfield
Fairfield
Farmington
Glastonbury
Granby
Greenwich
Groton
Groton Long Point
Groton Town
Guilford
Hamden
Hartford
Madison Town
Manchester -
Meriden
Middlebury
Middletown
Milford
Monroe
Naugatuck
New Britain
New Canaan
New Haven
Newington
New London
New Milford
Newtown
North Branford
North Haven
Norwalk
Norwich
Old Saybrook
Orange
Plainfield ,
Plainville
Plymouth
Putnam
Ridgefield Town
Rocky Hill
Seymour
Shelton
Simsbury
Southinglon
South Windsor
Stamford
Slonington
Stratford
Suffield
Thomaston
Tornngton
Trumbull
Vernon
Wallingford
Waterbury
Waterford
47
36
54
44
474
112
35
19
51
27
15
27
133
57
29
15
156
51
19
23
99
III
54
69
16
175
35
5
69
39
123
594
42
133
120
11
110
115
43
57
167
47
483
52
89
55
46
25
56
207
83
24
43
16
37
20
18
40
36
27
53
40
65
40
323
42
112
17
15
73
73
62
90
335
51
38
30
44
42
397
104
29
14
43
24
II
21
128
50
27
13
123
47
14
16
81
105
42
52
II
158
30
5
63
34
102
462
33
105
105
9
90
99
36
49
153
43
370
41
76
42
35
20
47
178
67
22
33
15
30
16
14
35
29
26
48
34
58
31
276
33
98
12
12
66
64
48
71
283
44
6
5
21
132
9
20
16
7
8
14
4
113
II
13
13
II
5
9
29
16
2
10
1
7
4
4
5
7
1
5
6
7
9
47
9
14
5
3
7
9
14
19
52
7
CONNECTICUT— Continued
Waterlown
West Hartford
West Haven
Weston
Westport
Welhersfield
Willimantic
Wilton
Windsor
Windsor Locks
Winsted
Wolcolt
Woodbridge
DELAWARE
Bethany Beach
Bethel
Blades
Bridgeville
Camden- Wyoming
Clayton
Dagsboro
Delmar
Dewey Beach
Dover
Ellendale
Elsmere
Fenwick Island
Frankford
Frederica
Georgetown
Greenwood
Harrington
Laurel
Lewes
Milford
Millsboro
Milton
Newark
New Castle
Newport
Ocean View
Rehoboth Beach
Seaford
Selbyville
Smyrna
South Bethany
Wilmington
DISTRICT OF COLUMBIA
Washington
FLORIDA
Alachua
Altamonte Springs
Apalachicola
Apopka
Arcadia
Atlantic Beach
Atlantis
Auburndale
Avon Park
Bal Harbour
Bartow
Bay Harbor Islands
Belleair
Belleair Beach
Belleair Bluffs
Belle Glade
Belleview
Biscayne Park
Blounlslown
38
143
129
15
74
53
38
41
57
27
26
33
30
1
1
5
6
2
1
10
5
100
2
13
7
1
3
II
6
12
10
7
32
9
5
66
12
7
2
21
26
5
19
6
289
4,760
21
119
7
52
28
28
17
37
26
25
63
29
15
6
7
59
14
7
12
32
120
114
14
66
42
34
39
47
20
21
24
23
7
1
1
4
5
2
1
9
5
80
2
12
7
3
11
5
10
9
7
24
8
5
51
11
7
2
16
21
5
14
6
235
15
85
6
45
19
21
11
28
18
21
46
24
10
5
7
47
12
7
7
303
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994— Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
31
24
7
491
308
183
17
10
7
121
93
28
4
4
15
10
5
23
16
7
20
19
1
12
11
1
18
16
2
2.241
1.306
935
75
54
21
9
7
2
15
12
3
98
78
20
5
5
18
14
4
14
11
3
100
75
25
130
87
43
26
20
6
12
8
4
38
31
7
9
9
6
5
1
6
5
1
289
207
82
29
21
8
35
27
8
43
33
10
130
92
38
37
26
11
173
118
55
18
15
3
66
51
15
39
30
9
25
19
6
35
31
4
18
13
5
17
15
2
12
11
1
47
32
15
13
9
4
15
15
142
101
41
23
16
7
7
6
1
37
27
10
199
139
60
10
9
1
4
4
1.369
1.077
292
434
309
125
41
33
8
52
42
10
23
16
7
23
17
6
5
5
111
93
18
12
9
3
33
24
9
14
9
5
110
76
34
23
17
6
41
32
9
61
45
16
20
16
4
30
23
7
60
47
13
144
109
35
151
100
51
44
34
10
48
29
19
3
3
4
4
FLORIDA— Continued
Boca Raton
Bonifay
Bowling Green
Boynton Beach
Bradenton
Bradenton Beach
Brooksville
Bunnell
Bushnell
Cape Coral
Casselberry
Cedar Grove
Center Hill
Chattahoochee
Chiefland
Chipley
Clearwater
Clermont
Clewiston
Cocoa
Cocoa Beach
Coconut Creek
Coleman
Cooper City
Coral Gables
Coral Springs
Crescent City
Cresrview
Cross City
Crystal River
Dade City
Davenport
Davie
Daytona Beach
Daytona Beach Shores
De Funiak Springs
De Land
Delray Beach
Dundee
Dunedin
Dunnellon
Eagle Lake
Eatonville
Edgewater
Edgewood
El Portal
Eustis
Fellesmere
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
Groveland
Gulf Breeze
Gulfport
Gulf Stream
Haines City
Hallandale
Havana
Hialeah
Hialeah Gardens
Highland Beach
High Springs
Hillsboro Beach
210
5
3
139
109
9
25
9
7
169
68
4
1
II
10
8
351
24
24
71
49
81
2
57
182
232
8
26
5
24
29
7
179
310
36
14
78
202
12
69
11
5
11
39
9
5
43
5
32
10
30
670
20
199
132
65
13
9
359
15
II
74
18
II
18
32
9
54
120
II
419
32
II
II
16
135
5
3
116
6
117
45
4
1
10
8
7
237
16
13
56
37
60
2
45
140
146
7
20
5
21
19
6
104
225
28
13
57
134
8
53
9
5
10
29
8
5
32
4
25
10
21
443
15
140
102
51
242
14
6
36
13
7
16
25
9
41
84
8
309
23
11
7
1
2
1
114
8
II
15
12
21
9
227
5
59
30
14
5
1
117
1
5
38
5
4
2
7
13
36
3
110
9
FLORIDA— Continued
Holly Hill
Hollywood
Holmes Beach
Homestead
Howey-in-the-Hills
Indialantic
Indian Harbour Beach
Indian River Shores
Indian Shores
Inverness
Jacksonville
Jacksonville Beach
Jasper
Juno Beach
Jupiter
Jupiter Inlet Colony
Jupiter Island
Kenneth City
Key West
Kissimmee
Lady Lake
Lake Alfred
Lake City
Lake Clarke Shores
Lake Hamilton
Lake Helen
Lakeland
Lake Mary
Lake Park
Lake Wales
Lake Worth
Lantana
Largo
Lauderdale-by-the-Sea
Leesburg
Lighthouse Point
Longboat Key
Longwood
Lynn Haven
Madeira Beach
Madison
Maitland
Manalapan
Mangonia Park
Margate
Marianna
Mascotte
Medley
Melbourne
Melbourne Beach
Mexico Beach
Miami
Miami Beach
Miami Shores
Miami Springs
Miccosukee
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
Oak Hill
Oakland
304
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
FLORIDA— Continued
Oakland Park
Ocala
Ocean Ridge
Ocoee
Okeechobee
Opa Locka
Orange City
Orange Park
Orlando
Ormond Beach
Oviedo
Pahokee
Palatka
Palm Bay
Palm Beach
Palm Beach Gardens
Palm Beach Shores
Palmetto
Palm Springs
Panama City
Panama City Beach
Parker
Parkland
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 Beach
Riviera Beach
Rockledge
Royal Palm Beach
St Augustine
St. Augustine Beach
St. Cloud
St. Petersburg
St. Petersburg Beach
Sanford
Sanibel
Sarasota
Satellite Beach
Sea Ranch Lakes
Sebastian
Sebnng
Seminole Tribal
Sewall's Point
Sneads
South Bay
South Daylona
South Miami
South Palm Beach
Springfield
Starke
Stuart
Sunrise
Surfside
Sweetwater
Tallahassee
Tampa
Tarpon Springs
Tavares
Temple Terrace
Tequesla
Titusville
Treasure Island
Umatilla
16
42
22
45
23
27
830
86
45
19
48
185
110
107
8
36
34
111
42
8
20
193
203
22
100
229
85
309
13
74
12
17
153
38
41
8
122
44
45
49
II
48
700
47
99
36
265
23
10
32
30
87
8
6
18
32
55
9
19
22
56
186
25
21
448
1.067
57
24
55
21
102
25
77
129
II
34
16
43
17
21
581
64
31
13
35
101
69
84
7
27
24
81
34
7
18
152
148
20
70
153
62
247
8
57
8
12
103
26
31
7
90
35
31
39
10
35
501
30
81
24
180
17
7
23
21
67
8
5
12
23
45
9
14
16
42
136
20
18
311
797
42
17
38
16
71
20
7
6
6
249
22
14
6
13
84
41
23
1
9
10
30
8
1
2
41
55
2
30
76
23
62
5
17
4
5
50
12
10
1
32
9
14
10
1
13
199
17
18
12
85
6
3
9
9
20
1
6
9
10
5
6
14
50
5
3
137
270
15
7
17
5
31
5
1
FLORIDA— Continued
Valparaiso
Venice
Vero Beach
Virginia Gardens
Waldo
Wauchula
Webster
West Melbourne
West Miami
West Palm Beach
White Springs
Wildwood
Williston
Wilton Manors
Windermere
Winter Garden
Winter Haven
Winter Park
Winter Springs
Zephyrhills
Zolfo Springs
GEORGIA
Abbeville
Acworth
Adarrsville
Adel
Adrian
Alamo
Albany
Alma
Alpharella
Amencus
Aragon
Arcade
Arlington
Athens-Clarke County
Atlanta
Altapulgus
Auburn
Augusta
Austell
Avondale Estates
Bainbridge
Baldwin
Ball Ground
Barnesville
Barwick
Baxley
Berlin
Blackshear
Blakely
Bloomingdale
Blythe
Boston
Bowdon
Braselton
Bremen
Brooklet
Brunswick
Buchanan
Butler
Byron
Cairo
Calhoun
Camilla
Canton
Carrollton
Cartersville
Cave Spring
Cedartown
Centerville
Chamblee
Chatsworth
12
61
86
7
7
13
3
22
21
362
2
16
16
36
7
39
106
97
56
34
5
3
23
10
20
2
2
232
22
59
55
5
3
3
236
1.972
2
9
212
14
12
42
7
1
13
2
15
2
10
22
10
1
4
11
1
16
3
16
4
4
13
22
37
21
25
62
50
3
24
12
38
17
40
60
6
7
II
3
20
15
242
2
II
10
28
7
29
71
71
39
25
5
3
18
8
16
2
2
210
15
39
44
4
2
3
187
1,534
1
8
169
10
11
36
5
1
12
1
II
1
9
17
9
1
4
7
1
16
3
13
4
4
9
18
35
17
22
52
42
3
22
10
33
13
305
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
GEORGIA— Continued
Chauncey
Chickamauga
Clarkesville
Clarkston
Claxton
Clayton
Cleveland
Climax
Cochran
Cohutta
College Park
Colquitt
Columbus
Comer
Commerce
Conyers
Coolidge
Cordele
Cornelia
Covington
Crawfordville
Cumming
Cusseta
Cuthbert
Dallas
Dalton
Damascus
Danietsville
Danville
Darien
Dawson
Decatur
Demoresl
Dillard
Doerun
Donalsonville
Doraville
Douglas
Douglasville
Dublin
Dululh
East Dublin
East Ellijay
Eastman
East Point
Ealonton
Edison
Elberton
Ellaville
Ellijay
Emerson
Enigma
Eton
Fairburn
Fairmount
Fayetteville
Fitzgerald
Folkston
Forest Park
Forsyth
Fort Gaines
Fort Oglethorpe
Fort Valley
Franklin
Franklin Springs
Gainesville
Garden City
Georgetown
Gibson
Glennville
Glenwood
Gordon
Gray
Greensboro
Greenville
1
5
4
16
8
9
7
1
12
1
95
7
474
3
18
49
4
34
16
55
1
12
10
II
16
73
1
1
1
6
22
58
3
1
5
17
45
44
59
53
38
8
7
17
122
11
4
26
5
II
2
2
1
23
3
32
28
6
81
21
7
22
29
5
2
98
24
3
1
12
3
10
6
II
7
7
1
II
1
76
7
372
3
13
37
3
29
15
48
I
8
4
7
12
60
1
1
1
6
17
44
3
1
4
9
29
36
48
45
29
7
5
14
98
10
4
21
5
9
2
1
1
17
3
24
24
6
50
16
5
17
24
5
1
78
22
2
1
8
3
7
5
11
6
GEORGIA— Continued
Griffin
Grovetown
Hahira
Hamilton
Hampton
Hapeville
Harlem
Harrison
Hartwell
Hawkinsville
Hazlehurst
Helen
Helena
Hephzibah
Hiawassee
Hilltonia
Hinesville
Hiram
Hoboken
Hogansville
Holly Springs
Homerville
Hoschton
Ideal
Ivey
Jackson
Jasper
Jeffersonville
Jesup
Jonesboro
Kennesaw
Kingsland
Kingston
Lafayette
La Grange
Lake City
Lakeland
Lake Park
Lavonia
Lawrenceville
Leary
Leesburg
Leslie
Lilburn
Lincolnlon
Lithoma
Lookout Mountain
Ludowici
Lumber City
Lumpkin
Luthersville
Lyerly
Macon
Madison
Manchester
Marietta
Marshallville
McCaysville
McDonough
Mclntyre
McRae
Midway
Milledgeville
Millen
Molena
Monroe
Monticetlo
Morrow
Morven
Moultrie
Mountain City
Mount Airy
Mount Zion
Muscogee
Nahunta
9
II
5
1
333
15
18
142
3
4
14
3
10
5
53
II
1
30
16
30
2
53
2
1
3
15
4
72
9
4
1
8
26
9
2
20
1 I
13
7
2
3
1
1
54
5
1
27
7
25
23
1
17
72
14
7
3
8
41
1
4
1
302
14
13
118
3
4
13
3
7
4
32
II
1
26
II
24
2
43
2
1
3
13
4
306
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tola!
police
employees
Tolal
officers
Total
civilians
City
Tolal
police
employees
Tolal
officers
GEORGIA— Continued
Nashville
Nelson
Newington
Newnan
Newton
Nicholls
Oakwood
Ocilla
Oglethorpe
Omega
Oxford
Palmetto
Patterson
Pavo
Peachtree City
Pearson
Pelham
Pembroke
Perry
Pine Lake
Pine Mountain
Ptneview
Plains
Pooler
Porlerdale
Port Wentworlh
Powder Springs
Preston
Reidsvilte
Remerton
Richland
Richmond Hill
Rincon
Ringgold
Riverdale
Roberta
Rockmart
Rome
Rossville
Roswell
Royslon
St. Marys
Sandersville
Sardis
Savannah
Screven
Senoia
Mir I In), in
Shiloh
Sky Valley
Smyrna
Snellville
Soperton
Sparks
Sparta
Springfield
Si. ii h. in
Stone Mountain
Stone Mountain Park
Summerville
Suwanee
Swainsboro
Sycamore
Sylvania
Sylvester
Tallapoosa
Tallulah Falls
Thomaston
Thomasville
Thomson
Thunderbolt
Ttfton
Toccoa
Trenton
Trion
17
1
1
41
2
6
8
16
6
1
1
9
2
3
42
6
15
6
35
2
5
1
1
17
8
15
19
1
11
3
4
18
6
4
37
3
17
95
12
138
13
30
27
4
472
1
8
3
2
5
105
32
9
1
14
6
3
20
26
20
14
23
2
15
16
15
2
48
51
18
II
55
34
6
7
12
I
I
40
2
3
7
12
4
1
1
9
2
2
32
6
10
5
30
2
5
1
I
15
6
13
15
1
6
3
4
II
5
4
28
3
15
84
8
86
10
29
17
4
378
1
7
3
2
5
73
26
6
1
4
5
3
14
18
19
10
16
1
II
13
13
1
38
43
17
7
44
28
6
7
GEORGIA— Continued
Tunnel Hill
Tybec Island
Tyrone
Unadilla
Union City
Union Point
Uvalda
Valdosta
Vidalia
Vienna
Villa Rica
Warm Springs
Warner Robins
Washington
Watkinsville
Waycross
West Point
Whigham
White
Whitesburg
Willacoochee
Winder
Woodbine
Woodbury
Woodstock
Wrens
HAWAII
Hilo
Honolulu
IDAHO
Aberdeen
American Falls
Bellevue
Blackfoot
Boise
Bonners Ferry
Buhl
Caldwell
Chubbuck
Coeur d'Alene
Emmett
Filer
Firth
I I llll 1. 111. I
Garden City
Gooding
Grangeville
Hailey
Heyburn
Homedale
Idaho Falls
Jerome
Kamiah
Kellogg
Ketchum .....'
Kimberly
Lewiston
McCall
Meridian
Montpelier
Moscow
Mountain Home
Nampa
New Plymouth
Orofino
Osburn
Parma
Payette
Pinehurst
Pocatello
Post Falls
223
2.276
9
3
22
236
7
9
43
16
59
9
4
2
6
24
6
5
9
6
5
109
14
3
7
15
5
59
11
25
5
38
26
56
5
8
2
4
II
2
105
38
4
15
8
4
25
7
2
85
28
6
15
2
82
17
4
6
13
3
1
2
3
29
4
7
22
14
126
1.790
3
19
192
6
8
33
13
49
9
4
1
5
19
6
5
7
5
5
82
13
3
6
12
5
41
9
21
5
29
17
39
4
7
2
4
10
2
79
24
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tolal
police
employees
Tolal
officers
Tolal
civilians
City
Total
police
employees
Total
officers
IDAHO — Continued
Preston
Pnest River
Rexburg
Rigby '..
Rupert
St Anthony
St. Maries
Salmon
Sandpoint
Shelley
Soda Springs
Spirit Lake
Twin Falls
Wallace
Weiser
Wendell
Wilder
ILLINOIS
Abingdon
Addison
Albany
Albion
Aledo
Alexis
Algonquin
Alsip
Altamonl
Alton
Amboy
Andalusia
Anna
Annawan
Anlioch
Areola
Argenta
Arlington Heights
Arthur
Ashland
Astoria
Atkinson
Atlanta
Auburn
Aurora
Bannockburn
Barrington
Barnngton Hills
Bartlett
Bartonville
Batavia
Beardstown
Bedford Park
Beecher
Belleville
Bellwood
Belvidere
Benld
Bensenville
Benton
Berkeley
Berwyn
Bethalto
Bloomingdale
Bloominglon
Blue Island
Blue Mound
Bolingbrook
Bourbonnais
Bradley
Braidwood
Breese
Bridgeport
Bndgeview
Brighton
85
1
2
8
1
30
50
5
76
2
2
7
1
26
4
1
138
5
1
1
2
2
8
287
7
42
25
48
12
41
II
35
5
85
52
27
4
50
10
I
87
19
60
100
51
1
96
22
20
14
4
62
1
2
7
1
22
39
5
64
1
2
7
1
17
4
1
105
5
1
1
2
2
4
226
7
29
17
36
8
35
7
29
5
71
45
25
2
40
5
14
78
13
43
87
33
1
67
16
16
9
5
2
43
3
ILLINOIS— Continued
Broadview
Brookfield
Brooklyn
Buffalo Grove
Bull Valley
Bunker Hill
Burbank
Burnham
Burr Ridge
Byron
Cahokia
Cairo
Calumet City
Calumet Park
Cambridge
Camp Point
Canton
Carbon Cliff
Carbondale
Carlinville
Carlyle
Carmi
Carol Stream
Carpentersville
Carrier Mills
Carrollton
Carterville
Carthage
Cary
Casey
Caseyville
Central City
Centralia
Centreville
Champaign
Channahon
Charleston
Chatham
Chenoa
Cherry Valley
Chester
Chicago
Chicago Heights
Chicago Ridge
Chillicothe
Christopher
Cicero
Clarendon Hills
Clinton
Coal City
Coal Valley
Cobden
Collinsville
Colona
Columbia
Cordova
Coulterville
Country Club Hills
Countryside
Crest Hill
Crestwood
Crete
Creve Coeur
Crystal Lake
Cuba
Dallas City
Danvers
Danville
Danen
Decatur
Deerfield
De Kalb
Depue
De Soto
Des Plaines
40
34
10
79
1
5
51
13
24
6
40
27
101
22
1
2
28
2
73
12
7
9
72
48
2
5
4
3
30
7
11
2
34
15
145
11
38
10
2
12
10
15.226
105
32
15
3
138
13
12
9
8
2
45
4
14
1
2
34
27
24
17
17
6
61
1
1
1
80
35
150
51
59
1
1
102
34
27
6
67
1
4
43
9
21
5
29
21
71
16
I
2
20
2
58
9
6
8
50
43
2
5
4
3
22
6
7
2
27
13
118
10
30
8
2
12
7
12.971
78
28
9
3
102
13
12
5
6
2
35
4
9
1
2
26
21
17
4
12
5
44
1
1
1
64
30
146
38
48
I
I
90
308
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
2
2
9
7
2
26
23
3
44
38
6
94
69
25
7
6
1
12
1
8
1
7
4
11
4
2
2
17
1
11
1
7
6
7
12
1
11
1
8
1
8
45
34
11
43
32
11
125
91
34
33
23
10
36
25
11
5
4
1
10
6
4
166
131
35
2
2
111
97
14
85
63
22
43
34
9
4
4
3
1
2
3
1
2
2
2
4
4
197
151
46
68
57
11
6
6
15
11
4
8
1
6
1
36
2
47
11
6
3
3
5
3
2
2
2
15
10
5
22
16
6
12
6
6
50
35
15
10
8
2
22
16
6
9
9
17
20
3
65
50
15
5
5
66
49
17
6
6
11
9
2
68
49
19
8
1
4
1
10
4
16
6
37
27
10-
8
7
1
12
1
1
7
1
1
5
8
5
3
2
2
4
4
16
11
5
45
35
10
69
49
20
46
34
12
84
62
22
City
Total
Total
Total
employees
officers
civilians
22
1
17
2
49
5
2
60
11
3
3
21
16
5
6
3
3
2
2
3
3
3
1
3
1
9
1
38
14
1
5
55
17
4
4
2
2
6
6
1
43
62
19
17
14
3
6
5
1
18
13
5
75
51
24
30
22
8
8
8
7
7
32
25
7
2
2
3
3
17
13
4
2
2
30
25
5
20
14
6
74
57
17
13
9
4
7
7
39
31
8
2
2
36
27
9
17
16
1
112
1
88
1
1
24
5
4
48
37
11
14
1
9
1
10
1
10
5
10
1
14
4
16
11
5
36
26
10
44
36
8
4
4
17
11
6
8
7
1
5
5
259
209
50
3
3
37
29
8
91
66
25
14
11
3
23
18
5
7
1
7
1
3
3
4
1
4
1
28
38
10
29
24
5
13
11
2
57
43
14
24
18
6
5
5
9
8
1
ILLINOIS— Continued
Divernon
Dixmoor
Dixon
Dolton
Downers Grove
Dupo
Du Quoin
Durand
Dwight
Earlvilie
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 Park
El Paso
Energy
Enfield
Erie
Essex
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
Gardner
Geneseo
Geneva
Genoa
Germantown
Gibson City
Gifford
Gilberts
Gillespie
Gilman
Girard
Glen Carbon
Glencoe ,
Glendale Heights
Glen Ellyn
Glenview
ILLINOIS— Continued
Glenwood
Golf
Grafton
Granite City
Grant Park
Grayslake
Grayville
Greenfield
Green Rock
Greenup
Greenview
Greenville
Gridley
Gurnee
Hainsville
Hamilton
Hampton
Hampshire
Hanover
Hanover Park
Harrisburg
Hartford
Harvard
Harvey
Harwood Heights
Havana
Hawthorn Woods
Hazel Crest
Hebron
Henry
Hernn
Herscher
Hickory Hills
Highland
Highland Park
Highwood
Hillsboro
Hillside
Hinckley
Hinsdale
Hodgkins
Hoffman Estates
Homer
Hometown
Homewood
Hoopeston
Hopedale
Huntley
Illiopolis
Indian Head Park
Island Lake
Itasca
Jacksonville
Jerome
Jerseyville
Johnsburg
Johnston City
Joliel
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
309
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
ultlLLTS
Total
civilians
City
Total
police
employees
Total
officers
ILLINOIS— Continued
Lakewood
Lake Zurich
Lanark
Lansing
La Salle
Lebanon
Leland Grove
Lemont
Leroy
Lewistown
Libertyville
Lincoln
Lincolnshire
Lincolnwood
Lindenhurst
Lisle
Litchfield
Lockport
Lombard
Loves Park
Lynwood
Lyons
Mackinaw
Macomb
Madison
Mahomet
Manhattan
Manito
Manteno
Marengo
Marion
Marissa
Markham
Maroa
Marquette Heights
Marseilles
Marshall
Martinsville
Maryville
Mascoutah
Mason City
Matteson
Mattoon
Maywood
McCook
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
Mound City
Mount Carmel
Mount Carroll
Mount Morris
5
46
2
72
21
10
5
21
4
3
46
27
26
45
13
49
16
25
80
33
16
28
1
29
15
4
4
5
8
15
24
3
40
2
3
7
10
3
10
12
4
46
48
61
21
42
1
5
80
14
I
4
16
29
15
1
5
1
2
7
17
101
7
4
24
18
8
23
7
21
63
5
ILLINOIS— Continued
Mount Olive
Mount Prospect
Mount Pulaski
Mount Sterling
Mount Vernon
Mount Zion
Moweaqua
Mundelein
Murphysboro
Naperville
Nashville
National City
Nauvoo
Neoga
New Athens
New Baden
New Lenox
Newman
Newton
Niles
Nokomis
Normal
Norridge
North Aurora
Northbrook
North Chicago
Northfield
Northlake
North Pekin
North Riverside
Oak Brook
Oakbrook Terrace
Oak Forest
Oak Lawn
Oak Park
Oakwood Hills
Oblong
OFallon
Ogden
Oglesby
Okawville
Old Shawneetown
Olney
Olympia Fields
Oregon
Orland Hills
Orland Park
Oswego
Ottawa
Palatine
Palestine
Palmyra
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
Pitts field
Plainfield
Piano
Plymouth
42
18
218
5
2
1
2
3
4
17
1
7
67
9
63
47
15
82
69
26
38
1
37
54
24
45
147
154
2
1
37
1
10
2
2
16
19
5
II
90
16
33
106
3
1
27
32
12
14
20
12
48
65
5
6
2
54
265
14
II
21
5
6
6
6
17
13
1
3
76
3
5
34
7
2
32
12
137
4
I
1
2
3
4
16
1
6
52
3
53
35
14
60
48
20
30
I
28
41
18
33
104
115
2
I
27
I
7
2
1
II
17
5
10
69
14
27
80
3
I
24
29
10
9
15
7
39
53
5
6
2
47
214
II
6
18
5
4
5
6
15
12
1
310
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ILLINOIS — Continued
Polo
Pontiac
Pontoon Beach
Port Byron
Posen
Princeton
Prophetstown
Prospect Heights
Quincy
Rantoul
Raymond
Red Bud
Richmond
Richton Park
Ridgway
Riverdale
River Forest
River Grove
Riverside
Robbins
Robinson
Rochelle
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
St. Anne
St. Charles
St. Francisville
Salem
Sandwich
Sauget
Sauk Village
Savanna
Schaumburg
Schiller Park
Seneca
Sesser
Shawneetown
Shelbyville
Sherman
Shiloh
Shorewood
Silvis
Skokie
Sleepy Hollow
Smithton
Somonauk
South Barrington
South Beloit
South Chicago Heights
South Elgin
South Holland
South Jacksonville
South Pekin
South Roxana
Sparta
Springfield
Spring Grove
3
25
15
3
13
10
3
25
85
35
1
4
6
22
2
42
40
24
23
28
13
24
6
5
24
303
115
7
74
37
4
9
50
76
I
9
36
3
8
7
3
5
4
58
1
19
16
9
22
9
193
38
7
5
4
9
4
6
17
17
139
5
4
3
10
12
II
22
47
6
2
5
13
275
6
3
19
6
11
4
3
11
2
9
1
3
22
3
71
14
29
6
4
5
1
18
4
7
32
10
30
10
18
6
19
4
23
5
11
2
18
6
fi
5
17
7
270
33
85
30
6
1
53
21
28
9
4
8
1
35
15
64
1
12
8
1
29
7
3
7
1
6
1
3
5
4
47
1
11
14
5
10
6
9
16
6
9
137
56
29
9
4
3
5
4
8
1
4
6
15
2
11
6
107
32
4
1
3
1
3
9
1
8
4
9
2
16
6
36
11
5
1
7
4
1
9
4
224
51
6
ILLINOIS— Continued
Spring Valley
Staunton
Steger
Sterling
Stickney
Stockton
Stone Park
Stonington
Streamwood
Streator
Sugar Grove
Sullivan
Summit
Sumner
Swansea
Sycamore
Tampico
Taylorville
Thomasboro
Thorton
Tinley Park
Tolono
Tonica
Toulon
Tower Lakes
Tremont
Trenton
Troy
Tuscola
University Park
Urbana
Vandalia
Venice
Vernon Hills
Vienna
Villa Grove
Villa Park
Virden
Wamac
Warren
Warrensburg
Warrenville
Washington
Washington Park
Waterloo
Watseka
Wauconda
Waukegan
Wayne
Westchester
West Chicago
West City
West Dundee
Western Springs
West Frankfort
Westmont
West Salem
Wheaton
Wheeling ,
While Hall
Williamsville
Willowbrook
Willow Springs
Wilmette
Wilmington
Winchester
Winfield
Winnebago
Winnetka
Winthrop Harbor
Witt
Wood Dale
Woodhull
Woodndge
Wood River
10
8
15
36
18
2
26
1
63
27
5
9
34
1
16
27
1
24
2
II
71
2
1
1
2
3
3
18
8
25
57
15
II
51
2
4
49
8
2
3
1
24
18
16
7
17
24
176
4
50
35
8
17
25
18
50
1
86
72
4
1
27
10
59
17
2
16
2
38
14
2
46
1
66
29
6
5
12
25
14
2
18
1
47
22
5
7
26
1
13
20
1
17
2
10
56
2
1
1
2
2
3
13
7
18
46
9
8
33
2
4
34
4
2
3
1
18
13
II
6
12
15
131
4
38
30
4
15
19
13
36
1
62
51
4
1
23
10
42
II
2
14
2
27
8
2
33
1
47
18
311
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ILLINOIS— Continued
INDIANA
14
17
4
12
37
35
5
82
22
12
15
14
9
71
18
13
7
20
41
71
32
6
39
34
5
19
II
23
142
14
20
278
9
424
4
15
351
14
3
47
31
59
35
8
231
16
46
59
9
38
1,341
4
24
20
137
2
111
24
45
7
II
45
5
5
17
30
10
13
4
7
31
26
5
61
17
11
II
10
5
58
13
9
6
15
33
65
31
6
28
26
4
16
7
17
113
9
16
254
5
353
4
10
253
10
2
42
24
42
27
5
188
II
39
45
8
32
962
4
17
15
99
2
76
20
39
7
8
35
5
5
12
24
5
98
4
1
5
7
17
8
3
43
5
7
14
1
6
379
INDIANA— Continued
Marion
Martinsville
Mernllville
Michigan City
Monticello
Mooresville
Mount Vernon
Muncie
Munster
Nappanee
New Albany
New Castle
New Chicago
New Haven
Noblesville
North Manchester
North Vernon
Petersburg
Plainfield
Portage
Portland
Princes Lakes
Rensselaer
Richmond
Schererville
Scottsburg
Sellersburg
South Bend
Speedway
Tell City
Terre Haute
Trail Creek
Valparaiso
Vincennes
Wabash
Warsaw
West Lafayette
West Terre Haute
IOWA
Adel
Albia
Algona
Alloona
Ames
Anamosa
Ankeny
Atlantic
Audubon
Bedford
Belle Plaine
Belmond
Bettendorf
Bloomfield
Boone
Burlington
Camanche
Carlisle
Carroll
Carter Lake
Cedar Falls
Cedar Rapids
Centerville
Chariton
Charles City
Cherokee
Clannda
Clarion
Clear Lake
Clinton
Clive
Coralville
Council Bluffs
Cresco
85
22
54
107
II
19
17
129
39
15
64
38
5
20
43
15
16
4
28
52
18
2
101
42
13
17
316
40
15
134
4
53
36
31
39
46
7
5
7
13
12
66
6
32
14
4
2
3
4
49
7
15
50
7
4
18
6
49
223
16
7
18
10
13
6
17
53
18
25
105
8
72
17
46
88
9
14
13
120
30
11
56
35
1
15
31
II
14
4
26
38
14
2
7
77
33
9
II
239
31
10
116
4
39
30
25
31
36
7
5
7
9
11
49
5
25
12
4
2
3
4
39
7
14
35
7
4
13
5
43
179
I I
6
13
9
8
6
12
44
14
23
92
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
IOWA— Continued
15
181
16
15
464
7
90
II
143
12
11
342
7
4
38
4
4
122
83
7
5
3
7
6
5
6
1
11
5
I
13
10
8
42
4
22
5
6
9
3
14
1
4
4
3
7
5
8
1
4
7
7
11
3
14
6
58
20
11
4
8
8
1
27
10
11
4
3
5
12
1
7
3
1
8
4
10
5
29
8
(7
5
38
13
5
5
3
11
1
5
36
7
8
1
6
26
7
8
1
10
4
4
S
6
7
1
18
2
30
7
12
2
11
4
8
10
4
3
3
5
5
7
9
6
109
IOWA— Continued
Spencer
Spint Lake
Storm Lake
Story City
Tama
Tipton
Urbandale
Vinton
Washington
Waterloo
Waukee
Waukon
Waverly
Webster City
West Burlington
West Des Moines
West Union
Windsor Heights
Wintersel
KANSAS
Abilene
Andale
Andover
Anthony
Arcadia
Argonia
Arkansas City
Arma
Atchison
Attica
Augusta
Baldwin City
Basehor
Baxter Springs
Belle Plaine
Belleville
Beloit
Blue Rapids
Bonner Springs
Buhler
Burden
Burlingame
Burlington
Bushton
Caldwell
Caney
Canton
Carbondale
Cawker City
Cedar Vale
Chanute
Chapman
Chase
Cheney
Cherokee
Cherryvale
Chetopa
Cimarron
Clay Center
Clearwater
Clyde
Coffeyville
Colby
Coldwater.
Columbus. .
Colwich
Concordia
Conway Springs
Council Grove
Derby
Dodge City
Douglass
Downs
26
7
20
4
4
5
42
7
9
143
7
6
15
20
8
60
4
12
7
19
6
16
4
4
5
35
7
9
124
6
6
14
14
7
47
4
II
7
11
I
7
4
1
1
26
2
26
1
19
5
3
8
3
5
9
1
16
3
I
2
6
1
4
5
1
2
I
1
19
2
3
2
5
4
2
7
6
1
23
11
1
7
2
7
4
5
26
36
4
313
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
KANSAS— Continued
Eastborough
Edgerton
Edwardsville
El Dorado
Elkhart
Ellinwood
Ellis
Ellsworth
Elwood
Emporia
Enterprise
Erie
Eskridge
Eudora
Fairway
Florence
Fort Scott
Frankfort
Fredonia
Frontenac
Galena
Garden City
Garden Plain
Gardner
Garnett
Girard
Goddard
Goodland
Grandview Plaza
Great Bend
Halstead
Harper
Hays
Haysville
Henngton
Hesston
Hiawatha
Highland
Hill City
Htllsboro
Hoisington
Holcomb
Holton
Holyrood
Hope
Horton
Hoxie
Hugoton
Humboldt
Hutchinson
Independence
Inman
Iola
Junction City
Kanopolis
Kansas City
Kingman
Kinsley
Kiowa
La Crosse
La Cygne
Lake Quivira
Lansing
Larned
Lawrence
Leavenworth
Leawood
Lebo
Lenexa
Leon
Le Roy
Libera]
Lindsborg
Louisburg
Lyndon
6
3
II
40
3
5
4
6
3
55
1
3
1
4
8
2
21
1
7
8
9
77
1
13
13
5
5
14
3
43
4
3
37
25
10
5
7
2
4
4
9
4
9
2
I
9
2
7
5
92
28
4
20
67
I
468
10
4
2
3
2
2
10
12
124
70
59
1
98
1
I
34
4
4
6
3
10
35
3
5
4
6
3
45
1
3
1
4
7
2
15
1
6
5
9
50
1
11
9
5
3
10
3
32
4
3
26
16
6
5
6
2
4
3
6
3
9
2
1
5
2
6
5
64
20
2
14
48
1
346
6
4
2
3
2
2
9
8
99
53
41
1
60
1
1
29
3
4
122
4
38
KANSAS — Continued
Lyons
Maize
Manon
Marquette
Marysville
McLouth
McPherson
Meade
Medicine Lodge
Melvern
Merriam
Minneapolis
Mission
Moundridge
Mound Valley
Mount Hope
Mulberry
Mulvane
Neodesha
Newton
North Newton
Norton
Oakley
Oberlin
Olathe
Osage City
Osawatomie
Osborne
Oswego
Ottawa
Overbrook
Overland Park
Oxford
Paola
Park City
Parsons
Pawnee Rock
Peabody
Pittsburg
Plainville
Pleasanton
Prairie Village
Pratt
Quinter
Roeland Park
Rose Hill
Rossville
Russell
Sabetha
St Francis
St. John
St. Marys
Salina
Scott City
Scranton
Sedan
Sedgwick
Seneca
Shawnee
Silver Lake
Smith Center
South Haven
South Hutchinson
Spearville
Spring Hill
Stafford
Sterling
Stockton
Tonganoxie
Topeka
Towanda
Udall
Ulysses
Valley Center
Valley Falls
7
4
4
1
7
26
3
6
1
27
5
22
3
2
2
15
7
24
1
5
10
4
112
4
12
3
5
27
208
2
17
II
34
1
2
38
4
2
49
20
1
13
5
1
12
5
2
4
4
92
3
3
5
69
2
3
2
6
1
5
4
4
5
4
362
1
1
8
10
1
6
1
1
22
4
1
6
1
24
3
5
20
2
3
1
7
?
10
5
6
1
22
1
2
5
10
4
83
29
4
8
4
1
5
21
1
6
160
48
?
11
6
10
1
23
11
7
32
6
4
7
40
9
19
1
1
10
3
5
1
7
5
5
7
4
4
71
21
6
1
5
3
3
5
S4
15
?
3
7
5
I
1
s
J
-I
5
4
268
1
94
i
?
1
6
1
4
314
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
KANSAS — Continued
KENTUCKY
Adairville
Albany
Alexandria
Anchorage
Ashland
Auburn
Augusta
Barbourville
Bardstown
Beattyville . .'
Beaver Dam
Bellevue
Benham
Benton
Berea
Bloomfield
Bowling Green
Brandenburg
Brooksville :
Brownsville
Burkesville
Burnside
Cadiz
Calvert City
Campbellsville
Carlisle
Carrollton
Catlettsburg
Cave City
Centertown
Central City
Clay City
Cloverport
Cold Springs
Columbia
Corbin
Covington
Cnttenden
Cumberland
Cynthiana
Danville
Dawson Springs
Dayton
Devondale
Dixie Police Authority
Dry Ridge
Edgewood
Edmonton
Elizabethlown
Elkton
Elsmere
Eminence
Erlanger
Evarts
Falmouth
Flatwoods
Fleming-Neon
Flemingsburg
Florence
Fort Mitchell
5
1
11
1
2
15
3
8
695
1
26
4
5
1
6
1
2
II
3
7
510
1
21
3
1
185
KENTUCKY— Continued
Fort Thomas
Fort Wright
Frankfort
Franklin
Fulton
Georgetown
Glasgow
Grayson
Greensburg
Greenup
Greenville
Guthrie
Hardinsburg
Harlan
Harrodsburg
Hartford
Hazard
Henderson
Hickman
Highland Heights
Hillview
Hodgenville
Hopktnsville
Horse Cave
Independence
Indian Hills
Irvine
Irvington
Jackson
Jamestown
Jeffersontown
Jenkins
Junction City
La Grange
Lakeside Park
Lancaster
Land-between-the-Lakes
Lawrenceburg
Lebanon
Lebanon Junction
Leitchfield
Lewisport
Lexington
Liberty
Livermore
London
Louisa
Louisville
Ludlow
Lynch
Madisonville
Manchester
Marion
Mayfield
Maysville
Middlesboro
Millersburg
Minor Lane Heights
Monticello . . . . :
Morganfield
Morgantown
Mount Sterling
Mount Vernon
Mount Washington
Muldraugh
Munlordville
Murray
New Castle
Newport
Nicholasville
Northfield
Oak Grove
Olive Hill
Owensboro
Owenton
22
7
57
25
16
45
31
9
9
2
7
3
3
15
27
4
28
59
10
7
14
5
53
4
14
5
7
2
11
5
50
5
4
9
8
II
31
17
18
4
12
1
536
9
1
20
8
831
8
3
49
12
6
28
26
23
1
1
II
15
5
20
8
9
2
1
28
1
48
36
4
12
6
108
3
21
7
50
18
1!
31
24
9
5
2
7
3
3
II
18
4
22
52
6
7
14
5
47
4
13
5
7
2
9
5
44
5
4
8
7
7
25
13
12
4
12
393
6
1
19
6
632
7
2
40
9
6
27
23
19
I
1
7
8
5
15
5
9
2
. 23
1
43
29
4
7
5
92
315
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
KENTUCKY— Continued
Owingsville
Paducah
Paris
Park Hills
Perryville
Pewee Valley
Pikeville
Pineville
Pioneer Village
Plantation
Prestonsburg
Princeton
Prospect
Raceland
Radcliff
Ravenna
Richmond
Russell
Russell Springs
Russellville
St. Matthews
Salyersville
Scottsville
Sebree
Shelbyville
Shepherdsville
Shively
Somerset
Soulhgate
Springfield
Stamping Ground
Stanford
Stanton
Sturgis
Taylor Mill
Taylorsville
Tompkinsville
Uniontown
Vanceburg
Versailles
Villa Hills
Vine Grove
Walton
Warsaw
Wayland
West Buechel
West Liberty
West Point
Wheelwright
Whitesburg
Wilder
Williamsburg
Williamstown
Wilmore
Winchester
Wingo
Wurtland
LOUISIANA
Abita Springs
Alexandria
Amite
Arnaudville
Baker
Baldwin
Bastrop
Baton Rouge
Berwick
Blanchard
Bogalusa
Bossier City
Breaux Bridge
Cheneyville
Church Point
4
162
17
7
30
7
48
747
10
2
47
174
18
4
131
17
5
30
6
42
609
10
2
37
146
18
2
12
1
6
138
LOUISIANA— Continued
Clinton
Covington
Crowley
Cullen
Delhi
Dequincy
De Ridder
Erath
Eunice
Farmerville
Fernday
Frankhnton
Golden Meadow
Gonzales
Gretna
Gueydan
Hammond
Harahan
Harrisonburg
Haynesville
Houma
lota
Iowa
Jackson
Jeanerette
Jena
Jennings
Jonesboro
Jonesville
Kaplan
Kenner
Kentwood
Kinder
Krolz Springs
Lafayette
Lake Charles
Leesville
Lockport
Mamou
Mandeville
Mansfield
Many
Manngouin
Minden
Monroe
Morgan City
Natchitoches
Newellton
New Iberia
New Orleans
New Roads
Oakdale
Opelousas
Patterson
Pineville
Plaquemine
Pochatoula
Port Allen
Rayne
Rayville
Ruslon
St. Francisville
Scon
Shreveport
Simmesport
Slidell
Spnnghill
Tallulah
Thibodaux
Vidalia
Ville Platte
Vinton
Vivian
Washington
Welsh
4
33
32
4
6
12
22
8
37
II
17
12
5
30
75
4
78
26
1
6
71
3
8
3
20
5
36
15
19
20
159
10
6
8
266
147
26
4
13
34
16
11
4
31
222
52
53
2
72
1.867
20
19
53
13
41
29
14
22
21
9
46
6
13
572
5
90
12
17
52
16
32
13
16
4
10
4
26
30
4
5
12
22
8
32
II
16
12
5
30
69
4
61
26
1
6
55
3
8
3
15
5
29
II
9
20
118
10
6
5
194
146
26
4
13
23
16
II
4
30
160
41
47
2
54
1 .465
15
19
44
13
36
26
13
22
21
8
38
5
12
442
4
63
12
17
47
16
32
13
16
4
10
316
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tola!
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
LOUISIANA— Continued
Westlake
West Monroe
Westwego
White Castle
Winnfield
Winnsboro
Zachary
Zwolle
MAINE
Ashland
Auburn
Augusta
Baileyville
Bangor
Bar Harbor
Bath
Belfast
Berwick
Bethel
Biddeford
Boothbay Harbor
Brewer
Bndgton
Brownville
Brunswick
Bucksport
Buxton
Calais
Camden
Cape Elizabeth
Caribou
Carrabassett Valley
Cumberland
Damariscotta
Dexter
Dixfield
Dover-Foxcroft
East Millinocket
Eastport
Eliot
Ellsworth
Fairfield
Falmouth
Farmington
Fort Fairfield
Fort Kent
Freeport
Fryeburg
Gardiner
Gorham
Gouldsboro- Winter Harbor
Greenville
Hallowell
Hampden
Houlton
Jay
Kennebunk
Kennebunkport
Kittery
Lewiston
Limestone
Lincoln
Lisbon
Livermore Falls
Machias
Madawaska
Madison
Mattawamkeag
Mechanic Falls
Medway
Mexico
Milbndge
Millinocket
MAINE — Continued
Milo
Monmouth
Mount Desert
Newport
North Berwick
Norway
Oakland
Ogunquit
Old Orchard Beach
Old Town
Orono
Oxford
Paris
Phippsburg
Pittsfield
Portland
Presque Isle
Richmond
Rockland
Rockport
Rumford
Sabattus
Saco
Sanford
Scarborough
Searsport
Skowhegan
South Berwick
South Portland
Southwest Harbor
Thomaston
Topsham
Van Buren
Veazie
Waldoboro
Washburn
Waterville
Wells
Westbrook
Wilton
Windham
Winslow
Winlhrop
Wiscasset
Yarmouth
York
MARYLAND
Aberdeen
Annapolis
Baltimore
Baltimore City Sheriff
Bel Air
Berlin
Berwyn Heights
Bladensburg
Brunswick
Cambridge
Capitol Heights
Cenlreville
Cheasapeake City ....
Chestertown
Cheverly
Cottage City
Cnsfield
Cumberland
Delmar
Denton
District Heights
Easlon
Edmonston
Elklon
Federalsburg
Forest Heights
3
2
8
4
8
6
7
12
21
17
18
3
7
1
10
195
23
3
26
4
17
6
32
48
37
3
17
II
54
9
8
14
3
1
5
1
36
19
37
5
21
7
12
8
14
27
4
4
7
6
6
7
16
13
13
2
6
1
5
147
18
3
19
4
15
5
27
34
24
3
12
6
50
5
5
10
3
1
4
1
28
18
32
5
17
6
8
7
9
19
46
37
162
117
3,635
3,065
121
116
41
30
16
11
8
8
19
14
11
10
52
39
7
6
6
6
10
9
11
9
2
2
10
6
67
59
10
9
8
7
8
8
46
34
6
6
29
22
9
8
5
5
317
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MARYLAND— Continued
Frederick
Frostburg
Fruitland
Glenarden
Great Oaks
Greenbelt
Greensboro
Hagerstown
Hampstead
Hancock
Havre de Grace
Hurlock
Hyattsville
Landover Hills
La Plata
Laurel
Luke
Manchester
Morningside
Mount Rainier
North East
Oakland
Ocean City
Ocean Pines
Oxford
Pocomoke City
Preston
Princess Anne
Ridgely
Rising Sun
Riverdale
Rock Hall
St. Michaels
Salisbury
Seat Pleasant
Smithsburg
Snow Hill
Sykesville
Takoma Park
Taneytown
Thurmont
University Park
Upper Marlboro
Westernporl
Westminster
MASSACHUSETTS
Acushnet
Adams
Agawam
Amesbury
Andover
Arlington
Ashburnham
Ashland
Athol
Auburn
Avon
Ayer
Barnstable
Barre
Bedford
Belchertown
Bellingham
Belmont
Berkley
Berlin
Beverly
Blackstone
Bolton
Boston
Bourne
Boxborough
Boxford
106
18
9
9
13
61
5
109
4
4
31
7
36
4
8
57
2
3
6
20
7
5
107
15
3
12
3
8
3
4
19
3
7
105
9
1
7
7
47
6
6
8
1
5
43
16
21
52
31
61
73
6
19
22
31
16
20
98
6
27
17
27
50
3
6
66
16
II
!.653
37
6
II
14
20
45
26
46
67
5
18
18
25
13
15
89
3
26
13
22
42
3
4
63
13
7
1,978
30
6
II
3
3
4
675
7
MASSACHUSETTS— Continued
Boylston
Braintree
Brewster
Bndgewater
Brockton
Brookline
Burlington
Cambridge
Canton
Carlisle
Carver
Charlton
Chatham
Chelmsford
Clinton
Cohasset
Concord
Dalton
Danvers
Dartmouth
Dedham
Deerfield
Dennis
Dighton
Douglas
Dover
Dracut
Dudley
Duxbury
East Bndgewater
Easlham
East Longmeadow
Easton
Edgarlown
Everett
Fairhaven
Fall River.
Fitchburg
Foxborough
Franklin
Freetown
Georgetown
Gloucester
Grafton
Granby
Great Barrington
Greenfield
Hadley
Halifax
Hamilton
Hampden
Hanson
Hardwick
Harvard
Harwich
Haverhill
Hingham
Holbrook
Holden
Holliston
Hopedale
Hopkinlon
Hudson
Hull
Ipswich
Lancaster
Lawrence
Lee
Leicester
Leominster
Lexington
Lincoln
Littleton
Longmeadow
Lowell
21
32
190
145
60
304
43
12
20
14
21
55
27
17
38
10
54
68
63
6
43
12
II
16
35
16
30
22
21
23
32
13
96
31
269
100
26
37
18
13
55
21
10
13
39
8
12
18
14
19
3
II
32
87
48
19
22
21
10
19
33
28
24
7
142
10
17
67
51
16
18
31
253
7
78
16
29
168
134
57
253
41
9
15
10
20
46
25
17
32
9
44
56
60
5
34
9
8
15
33
12
28
21
15
21
30
13
86
27
227
82
25
32
13
10
49
16
8
13
35
6
8
14
10
16
3
7
26
80
43
18
17
21
9
14
28
23
23
7
128
10
14
63
46
12
13
30
217
318
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MASSACHUSETTS— Continued
Ludlow
Lunenburg
Lynn
Lynnfield
Maiden
Manchester
Marblehead
Manon
Marlborough
Marshfield
Mashpee
Mattapoisett
Medfield
Medford
Medway
Melrose
Mendon
Mernmac
Methuen
Middleton
Milford
Millbury
Milhs
30
II
180
23
115
15
39
13
54
42
30
17
22
113
20
48
5
7
80
II
47
21
17
3
54
15
II
30
65
52
279
189
19
31
67
44
48
24
19
3
27
20
71
II
27
23
18
92
1
24
15
1
101
97
6
21
223
53
23
45
24
17
8
1
99
33
54
34
26
2
15
II
40
36
138
30
II
161
18
106
13
37
13
60
39
24
17
17
107
16
45
4
4
67
10
46
16
13
3
52
14
11
25
52
48
250
169
15
27
59
32
42
18
15
2
26
18
61
11
21
17
13
85
1
23
14
1
84
83
3
16
191
51
17
38
19
16
7
1
90
32
52
28
22
2
15
10
32
30
133
MASSACHUSETTS— Continued
Soulhborough
Southbndge
South Hadley
Southwick
Spencer
Springfield
Sterling
Stockbridge
Stoneham
Sloughton
Stow
Sturbndge
Sudbury
Sutton
Swamscott
Swansea
Taunton
Templeton
Tewksbury
Tisbury
Topsfteld
Truro
Tyngsboro
Upton
Uxbridge
Wakefield
Walpole
Waltham
Ware
Wareham
Warren
Watertown
Wayland
Webster
Wellesley
Wellfieet
Wenham
Westborough
West Boylston
West Bridgewater
Westfield
Westford
Weston
West Springfield
Westwood
Weymouth
Wilbraham
Wilmington
Winchendon
Winchester
Woburn
Worcester
Wrentham
Yarmouth
MICHIGAN
Adrain
Albion :
Allegan
Allen Park
Alma
Almont
Alpena
Ann Arbor
Armada
Atlas Township
Auburn
Auburn Hills
Bad Axe
Bangor
Baraga
Barry Township
Bath Township
Bay City
16
33
26
19
9
556
13
6
43
53
15
19
30
13
37
33
98
8
54
14
13
15
22
II
19
49
42
138
14
42
7
72
30
28
54
15
II
31
14
21
71
33
29
77
32
107
26
42
13
44
73
501
15
54
38
26
12
57
14
4
22
213
3
2
3
50
7
4
3
2
7
80
16
32
25
14
6
476
9
6
36
51
12
13
25
13
35
27
94
7
47
12
9
10
18
8
15
47
38
129
14
39
7
63
22
23
45
10
10
25
13
20
66
26
25
69
29
95
25
40
12
37
68
398
14
45
31
20
10
51
13
4
17
169
3
2
2
39
7
4
3
2
6
74
319
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MICHIGAN— Continued
Beaverton
Bedford Township
Belding
Bellaire
Belleville
Benton Harbor
Benton Township
Berkley
Beverly Hills
Big Rapids
Birch Run
Birmingham
Blissfield
Bloomfield Hills
Bloomfield Township
Bloomingdale
Breckenridge
Bridgeport Township
Bndgman
Brighton
Bronson
Brown City
Brownstown Township
Buchanan
Buena Vista Township
Burr Oak
Burton
Cadillac
Calumet
Camp Grayling
Canton Township
Capac
Carlelon
Caro
Carrollton Township
Carson City
Carsonville
Caseville
Cass City
Cassopolis
Cedar Spnngs
Center Line
Charlestown Township
Charlevoix
Charlotte
Cheboygan
Chelsea
Chesaning
Chesterfield Township
Chikaming Township
Chocolay Township
Clare
Clarkston
Clawson
Clay-Algonac
Clinton
Clinton Township
Clio
Coldwater
Coleman
Coloma
Coloma Township
Colon
Columbia Township
Concord Township
Constantine
Corunna
Covert Township
Croswell
Crystal Falls
Davison
Davison Township
Dearborn
Dearborn Heights
Decatur
5
9
I
10
25
31
35
29
17
3
55
5
27
82
1
3
5
4
12
5
1
40
10
17
1
42
19
2
I
82
5
4
8
6
2
1
2
3
5
5
31
1
7
20
9
10
3
20
3
4
8
4
24
22
3
117
2
18
2
4
5
2
3
2
4
4
6
5
5
9
II
217
111
4
1
32
9
IS
1
37
17
2
1
60
4
3
7
5
2
1
2
3
4
5
25
1
6
19
9
7
3
15
3
3
7
4
22
17
3
86
1
16
2
3
5
2
3
2
4
4
6
5
5
7
9
193
MICHIGAN— Continued
Denton Township
Detour Village
Detroit
De Witt
De Witt Township
Douglas
Dowagiac
Dryden Township
Duran
East Grand Rapids
East Jordan
East Lansing
East Pointe
East Tawas
Eaton Rapids
Ecorse
Elk Rapids
Elkton
Elsie
Emmett Township
Ene Township
Escanaba
Essexville
Evart
Fairhaven Township
Farmington
Farnnngton Hills
Fenton
Ferndale
Flat Rock
Hint
Flint Township
Flushing
Flushing Township
Forsyth Township
Fowlerville
Frankfort
Franklin
Fraser
Fremont
Frost Township
Galesburg
Garden City
Gaylord
Genesee Township
Gernsh Township
Gibraltar
Gladstone
Gladwin
Gobies
Grand Beach
Grand Blanc
Grand Blanc Township
Grand Haven
Grand Ledge
Grand Rapids
Grandville
Grayling
Green Oak Township
Greenville
Grosse He Township
Grosse Pointe
Grosse Pointe Farms
Grosse Pointe Park
Grosse Pointe Shores
Grosse Pointe Woods
Hamburg Township
Hampton Township
Hamtramck
Hancock
Harbor Beach
Harbor Springs
Harper Woods
Hart
Hartford
1
4.381
7
12
3
14
2
5
33
4
81
59
4
9
38
3
2
1
7
1
44
28
142
19
57
22
368
36
12
6
6
5
4
II
50
8
2
1
49
9
17
4
13
II
3
1
2
21
30
35
13
352
21
7
II
23
21
32
39
48
20
45
II
11
53
6
4
6
40
3
5
1
3,855
6
10
3
13
2
5
30
4
55
52
4
8
32
3
2
1
6
I
38
7
3
1
22
Mil
13
52
21
319
33
II
5
6
5
4
10
42
7
I
1
39
8
15
4
12
10
3
I
2
17
24
32
12
281
17
6
10
18
16
25
31
45
18
43
10
10
53
6
4
5
35
3
5
320
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MICHIGAN— Continued
Hastings
Hazel Park
Hespena
Highland Park
Hillsdale
Holland
Holly
Homer
Hopkins
Houghton
Howard City
Howard Township
Howell
Hudsonville
Huntington Woods
Huron Township
Imlay City
Ionia
Iron Mountain
Iron River
tronwood
Ishpeming
Ithaca
Jackson
Jonesville
Kalamazoo
Kalamazoo Township
Kalkaska
Keego Harbor
Kentwood
Kingsford
Kinross Township
Lake Angelus
Lake Linden
Lake Odessa
Lake Orion
L' Anse
Lansing
Lansing Township
Lapeer
Lathrup Village
Launum
Lawrence
Lennon
Leoni Township
Leslie
Lexington
Lincoln Township
Lincoln Park
Linden
Litchfield
Livonia
Lowell
Ludington
Luna Pier
Mackinac Island
Mackinac City
Madison Heights
Mancelona
Manchester Township
Manistee
Manislique
Manton
Marcellus
Marenisco Township
Marine Cily
Marion
Marquette
Marshall
Marysville
Mason
Mattawan
Melvindale
Memphis
Mendon
16
8
20
13
g
18
12
4
19
12
5
80
4
331
34
6
6
53
17
2
7
5
323
15
19
13
3
3
1
4
1
3
II
66
4
4
188
7
15
4
5
4
76
4
1
15
10
2
3
1
9
I
42
19
15
10
3
26
12
37
2
64
15
58
8
3
3
8
1
15
7
15
10
7
16
12
4
15
II
4
65
4
249
27
5
5
47
17
2
3
4
5
234
14
16
10
3
3
9
59
4
4
146
6
14
4
4
4
60
4
1
14
9
2
3
1
7
1
34
14
13
9
3
24
MICHIGAN— Continued
Menominee
Meridian Township
Michiana
Midland
Midland Township
Milan
Milford
Millington
Monroe
Montague
Montrose
Montrose Township
Morenci
Morrice
Mount Clemens
Mount Morris
Mount Morris Township
Mount Pleasant
Munising
Muskegon
Muskegon Heights
Muskegon Township
Napoleon Township
Nashville
Negaunee
Newaygo
New Baltimore
Newberry
New Buffalo
New Haven
New Lothrop
Niles
Niles Township
Northfield Township
North Muskegon
Northville
Norlhville Township
Norton Shores
Norvell Township
Norway
Novi
Oak Park
Olivet
Onaway
Ontonagon
Ontwa Township-Edwardsburg
Orchard Lake
Oscoda-Ausable Township
Otisville
Otsego
Ovid
Owosso
Oxford
Parchment
Parma
Paw Paw
Pennfield Township
Pentwater
Perry
Petoskey
Pierson Township
Pigeon
Pinckney
Pinconning
Pittsfield Township
Plainwell
Pleasant Ridge
Plymouth
Plymouth Township
Portage
Port Austin
Port Huron
Portland
Port Sanilac
Prairieville Township
II,
5
33
6
7
4-1
4
7
9
4
12
6
1
44
4
5
7
7
2
1
1
31
9
5
1
27
2
22
4
5
78
13
26
3
11
1
3
1
12
1
7
10
1
4
6
5
1
1
20
7
8
8
1
6
1
14
3
20
5
24
2
7
6
49
25
69
7
7
?
1
7
8
1
10
1
3
7
1
3
20
2
11
5
4
1
7
8
2
6
1
3
4
12
5
1
1
2
3
1
3
22
9
7
7
1
15
5
24
7
54
1
14
51
18
6
1
1
321
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
Cl\ limns
City
Total
police
employees
Total
officers
MICHIGAN— Continued
Quincy
Reading
Reed City
Republic Township
Richfield Township (Roscommon County)
Richfield Township (Genesee County) . . .
Richland
Richland Township
Richmond
Richmond Township.
River Rouge
Riverview
Rochester
Rockford
Rockwood
Rogers City
Romeo
Romulus
Roosevelt Park
Roscommon Township
Rose City
Roseville
Ross Township
Royal Oak
Royal Oak Township
Saginaw
Saginaw Township
St. Charles
St. Clair
St. Clair Shores
St. Ignace
St. Johns
St. Joseph
St. Joseph Township
St. Louis
Saline
Sand Lake
Sandusky
Saugatuck
Sault Ste. Marie
Schoolcraft
Scottville
Sebewaing
Shelby
Shelby Township
Somerset Township
Southfield
Southgate
South Haven
South Lyon
South Rockwood
Sparta
Spring Arbor Township
Springfield
Spring Lake-Ferrysburg
Springport Township
Stanton
Sterling Heights
Sturgis
Summit Township
Sumpter Township
Sunfield
Swartz Creek
Sylvan Lake
Taylor
Tecumseh
Thomas Township
Three Oaks
Three Rjvers
Titlabawassee Township
Traverse City
Trenton
Troy
Tuscarora Township
Twin City
4
1
5
1
3
7
1
4
10
4
34
32
20
10
9
6
7
65
6
1
1
95
2
108
9
167
44
3
10
99
5
14
26
10
6
17
1
4
3
30
4
3
4
3
60
1
208
51
23
10
1
9
2
12
10
2
1
214
19
4
12
1
7
5
123
15
4
4
16
3
33
51
172
4
4
4
1
5
1
3
6
1
4
7
1
30
28
14
8
9
6
7
54
6
1
1
82
2
91
9
150
41
3
9
81
5
12
21
9
5
12
1
4
2
22
3
3
4
3
46
1
157
41
18
9
1
11
9
2
1
157
16
4
11
1
6
5
103
14
3
4
13
3
32
47
125
4
4
MICHIGAN— Continued
Ubly
Union City
Unionville
Utica
Van Buren Township
Vassar
Vernon
Vicksburg
Walled Lake
Warren
Watertown Township
Watervliet
Wayland
Wayne
West Bloomfield Township
West Branch
Westland
White Cloud
Whitehall
White Lake Township
White Pigeon
Williamston
Wixom
Wolvenne Lake
Woodhaven
Woodstock Township
Wyandotte
Wyoming
Yale
Ypsilanti
Zecland
Zilwaukee
MINNESOTA
Albert Lea
Alexandria
Anoka
Apple Valley
Austin
Babbitt
Baxter
Bayport
Bemidji
Benson
Big Lake
Blaine
Blooming Prairie
Bloomington
Blue Earth
Brainerd
Brooklyn Center
Brooklyn Park
Buffalo
Burnsville
Caledonia
Cambridge
Cannon Falls
Champlin
Chanhassen
Chaska
Chisholm
Circle Pines-Lexington
Colquet
Cold Spring
Columbia Heights
Coon Rapids
Corcoran
Cottage Grove
Crookston
Crosby
Crystal
Dawson
Dayton
Deephaven
1
4
t
16
16
4
1
5
16
270
1
4
5
53
80
4
116
1
6
25
3
4
17
8
31
1
60
103
3
53
9
37
22
36
49
31
4
6
5
23
3
5
45
3
1:7
6
24
56
84
10
70
5
9
5
22
2
16
11
14
17
3
31
63
3
42
15
8
30
3
3
I
3
2
12
13
4
1
4
II
227
1
4
4
38
60
3
96
1
6
18
3
4
14
7
28
1
47
77
3
43
29
15
28
34
29
4
5
5
20
3
4
38
3
99
6
20
42
67
9
57
4
8
4
19
2
13
10
11
16
3
23
54
3
30
13
5
26
3
3
7
322
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MINNESOTA— Continued
Detroit Lakes
Dilworfh
Duluth
Eagan
Eden Prairie
Edina
Elk River
Ely
Evelefh
Faribault
Fergus Falls
Forest Lake
Fridley
Gilbert
Glencoe
Glenwood
Golden Valley
Grand Rapids
Granite Falls
Hastings
Hermantown
Kibbmg
Hopkins
Hoyt Lakes
Hutchinson
International Falls
Inver Grove Heights
Jackson
Jordan
Kasson
Kenyon
La Crescent
Lake City
Lakefield .#.
Lakeville
Le Sueur
Lino Lakes
Litchfield
Little Falls
Long Prairie
Luverne
Madison
Mankato
Maple Grove
Maplewood
Marshall
Medina
Mendota Heights
Minneapolis
Minnelonka
Montevideo
Moorhead
Mora
Morris
Mound
Mounds View
New Brighton
New Hope
Newport
New Prague
New Ulm
Northfield
North Mankato
North St Paul
Oakdale
Oak Park Heights
Olivia
Orono
Ortonville
Osseo
Owatonna
Park Rapids
Pipestone
Plainview
Plymouth
14
3
153
77
66
56
24
7
10
34
22
12
48
6
8
5
37
17
5
23
9
31
34
5
23
14
29
6
3
4
3
6
8
3
43
10
14
10
12
5
5
3
46
47
53
22
7
17
1.021
60
9
54
7
8
13
16
23
32
6
7
20
21
10
16
26
9
4
16
5
4
26
6
5
3
65
131
22
51
26
45
21
45
II
18
6
6
1
9
1
24
10
18
4
11
1
36
12
6
7
1
5
29
8
12
5
5
20
3
8
1
28
3
23
II
5
18
5
14
23
6
6
3
4
3
5
1
7
1
3
31
12
5
5
11
3
9
1
10
2
5
5
3
39
7
39
8
40
13
18
4
6
1
15
2
858
163
47
13
8
1
43
11
6
1
7
1
12
1
15
1
21
2
27
5
6
6
1
18
2
16
5
9
1
14
2
23
3
8
1
4
15
1
4
1
4
24
2
6
5
3
MINNESOTA— Continued
Princeton
Prior Lake
Proctor
Ramsey
Red Wing
Redwood Falls
Richfield
Robbinsdale
Rochester
Roseau
Rosemount
Roseville
St Anthony
St. Bonifacius-Minnetrista
St. Cloud
St. James
St. Joseph
St. Louis Park
St. Paul
St. Paul Park
St. Peter
Sartell
Sauk Centre
Sauk Rapids
Savage
Shakopee
Silver Bay
Slayton
Sleepy Eye
South Lake Minnetonka
South St Paul
Springfield
Spring Lake Park
Staples
Stillwater
Thief River Falls
Tracy
Two Harbors
Virginia
Wabasha
Wadena
Waite Park
Warroad
Waseca
Wayzata
Wells
West Hennepin
West St. Paul
While Bear Lake
Willmar
Windom
Winona
Woodbury
Worthington
MISSISSIPPI
Aberdeen
Ackerman
Amory
Batesville
Bay St. Louis
Belzoni
Booneville
Brandon
Brookhaven
Calhoun City
Clinton
Collins
Columbia
Columbus
Como
Corinth
Decatur
De Kalb
19
7
13
26
9
53
23
128
4
14
51
16
II
81
7
5
61
729
7
16
8
9
10
20
22
4
3
5
14
25
4
II
5
19
15
4
8
25
3
9
7
5
12
10
4
8
35
34
33
8
39
34
24
7
18
5
II
25
8
42
18
100
4
13
45
14
9
66
6
5
50
549
7
II
7
6
9
17
19
4
3
5
13
23
4
10
5
16
14
4
7
24
3
8
6
4
10
8
4
8
23
28
29
7
35
31
17
15
4
18
22
26
7
17
16
31
6
33
7
22
59
6
29
3
3
323
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MISSISSIPPI— Continued
Edwards
Eupora
Flowood
Fulton
Gloster
Greenville
Greenwood
Grenada
Gulfporl
Hattiesburg
Heidelberg
Hernando
Holly Springs
Horn Lake
Indianola
Inverness
Jackson
Kosciusko
Laurel
Leakesville
Long Beach
Lucedale
Macon
Madison
Magee
Magnolia
McComb
Mendenhall
Meridian
Morton
Moss Point
Natchez
Newton
Ocean Springs
Oxford
Pascagoula
Pass Christian
Pelahalchie
Petal
Picayune
Purvis
Ridgeland ,
Rolling Fork
Shaw
Tupelo
Utica
Vaiden
Verona
Vicksburg
Waveland
Waynesboro
Wiggins
Winona
MISSOURI
Arnold
Aurora
Ballwin
Bellefontaine Neighbors.
Bel-Nor
Bel-Ridge
Belton
Berkeley
Blue Springs
Bolivar
Bonne Terre
Boonvitle
Branson
Breckenndge Hills
Brentwood
Bridgeton
Brookfield
Buckner
Butler
24
7
7
145
62
42
167
143
4
12
18
24
32
4
714
24
74
3
21
13
5
23
15
3
49
10
129
13
41
79
15
37
45
81
23
8
17
35
9
47
5
13
112
6
3
12
101
24
21
12
14
4
6
2
17
7
-
5
2
ion
45
47
15
29
13
[20
47
96
47
4
17
12
6
18
6
26
6
4
403
Ml
20
4
54
20
3
16
5
9
4
5
17
6
12
3
3
32
17
7
3
99
30
10
3
36
5
54
25
10
5
28
9
39
6
55
26
18
5
6
2
12
5
21
14
7
2
32
15
5
5
8
94
18
6
2
1
8
4
83
18
18
6
15
6
8
4
9
5
MISSOURI— Continued
Calverton Park
Cameron
Canton
Cape Girardeau
Carthage
Centralia
Chaffee
Charlack
Chesterfield
Claycomo
Clayton
Clinton
Columbia
Cool Valley
Country Cluh Hills
Crestwood
Creve Coeur
Crystal City
Dellwood
Des Peres
Edmundson
Ellisville
Eureka
Excelsior Springs
Farmington
Fayette
Fenton
Ferguson
Festus
Florissant
Frontenac
Fulton
Gladstone
Glendale
Grandview
Hannibal
Harrisonville
Hazelwood
Hillsdale
Holts Summit
Independence
Ironton
Jackson
Jefferson City
Jennings
Joplin
Kansas City
Kearney
Kennett
Kirksville
Kirkwood :
Ladue
Lake Lotawana
Lake Si Louis
Lamar
Lebanon
Lees Summit
Lexington
Louisiana
Macon
Manchester
Maplewood
Marceline
Marshall
Maryland Heights
Maryville
Mexico
Moberly
Moline Acres
Monett
Montgomery City
Neosho
Nevada
Newburg
Normandy
7
15
6
88
31
10
10
10
64
8
63
16
137
10
9
36
47
18
16
39
9
21
18
29
22
6
28
58
28
85
23
27
65
13
59
47
22
53
12
4
236
4
20
91
71
70
1.693
7
24
29
67
35
4
22
10
24
94
9
12
10
22
28
6
30
70
23
33
39
7
26
5
26
24
1
19
5
10
3
65
24
5
8
9
59
7
49
15
29
37
14
15
33
8
20
15
20
15
6
22
51
20
71
18
21
54
10
47
34
15
41
II
4
163
4
15
69
39
62
1.156
7
24
22
54
29
4
14
8
18
66
7
7
9
20
23
5
22
56
16
28
33
7
17
5
19
17
324
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994— Continued
Total
police
employees
Tolal
officers
Total
:ivilians
City
Total
police
employees
Tolal
officers
MISSOURI— Continued
North Kansas City
Norlhwoods
Oakview
Odessa
O'Fallon
Olivette
Osage Beach
Overland
Pacific
Pagedale
Park Hills
Parkville
Pevely
Pine Lawn
Pleasant Hill
Poplar Bluff
Potosi
Raytown
Republic
Richland
Richmond
Richmond Heights
Riverside
Riverview
Rock Hill
Rolla
St. Ann
St- Charles
Sle. Genevieve
St. George
St. John
St. Joseph
St. Louis
St. Peters
St. Robert
Salem
Sedalia
Shrewsbury
Sikeston
Slater
Smilhville
Springfield
Sugar Creek
Sullivan
Sunset Hills
Town and Country
Trenton
Union
University City
Valley Park
Vandalia
Warrensburg
Warrenton
Warson Woods
Washington
Webb City
Webster Groves
Wentzville
Weston
West Plains
Winchester
Windsor
Woodson Terrace
MONTANA
Baker
Belgrade
Billings
Boulder
Bozeman
Bndger
Columbia Falls
Conrad
Cut Bank
42
19
4
6
49
26
22
59
18
19
13
8
17
17
II
48
II
76
17
7
15
38
17
8
16
36
46
115
9
4
20
139
2,227
72
14
15
45
20
56
9
9
288
16
19
23
34
17
14
96
II
9
33
15
7
26
16
53
27
4
20
2
6
15
34
17
4
6
36
21
20
45
12
18
13
7
12
16
7
36
II
58
15
4
10
33
13
8
12
24
40
93
8
4
18
105
1.563
58
10
II
39
17
50
5
8
234
14
12
17
31
II
12
77
10
5
29
10
6
22
16
43
20
4
18
1
6
13
6
111
34
664
14
4
4
6
3
6
4
1
54
2
7
6
3
6
2
19
1
4
4
5
1
4
MONTANA— Continued
Dillon
East Helena
Eureka
Flathead Tribal
Fort Benton
Glasgow
Glendive
Great Falls
Hamilton
Havre
Helena
Kahspell
Laurel
Lewistown
Livingston
Manhattan
Miles City-Custer County
Missoula
Plentywood
Poison
Red Lodge
Ronan City
Saint Ignatius
Sidney
Thompson Falls
Three Forks
Troy
West Yellowstone
Whitefish
Whitehall
NEBRASKA
Ainsworth
Alliance
Ashland
Auburn
Aurora
Beatrice
Bellevue
Blair
Broken Bow
Central City
Chadron
Columbus
Cozad
Crete
David City
Elkhorn
Fairbury
Falls City
Fremont
Geneva
Gering
Gordon
Gothenburg
Grand Island
Hastings
Holdrege '
Imperial
Kearney
Kimball
La Vista
Lexington
Lincoln
Madison
McCook
Milford
Minden
Mitchell
Nebraska City
Neligh
Norfolk
North Platte
Ogallala
27
3
8
15
100
12
22
60
34
14
17
15
17
86
4
8
5
4
1
II
3
2
2
11
17
1
3
26
4
6
8
29
64
12
8
6
18
39
II
13
6
5
7
13
36
4
18
6
10
67
52
II
3
44
6
22
15
353
2
18
5
5
5
13
3
56
54
II
7
4
2
20
3
7
11
67
10
19
43
26
8
11
11
2
13
70
3
8
5
4
1
10
3
5
i:
i
3
20
4
6
7
20
49
II
7
25
6
8
5
5
6
9
27
4
15
4
6
60
37
8
3
37
6
19
13
265
:
14
5
4
5
i;
3
35
34
9
325
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEBRASKA— Continued
Omaha
O'Neill
Ord
Papillion
Pierce
Plainview
Plattsmouth
Ralston
Schuyler
Scottsbluff
Seward
Sidney
South Sioux City
Superior
Syracuse
Tecumseh
Tekamah
Valentine
Valley
Wahoo
Wayne
West Point
Wilber
Wymore
Vork
NEVADA
Boulder City
Carlin
Fallon
Henderson
Las Vegas Metropolitan Police Department Jurisdiction
Lovelock
Mesquite
North Las Vegas
Reno
Sparks
Wells
Winnemucca
Yerington
NEW HAMPSHIRE
Amherst
Ashland
Atkinson
Auburn
Barrington
Bedford
Berlin
Boscawen
Bow
Bristol
Candia
Charlestown
Claremont
Colebrook
Concord
Conway
Derry
Dover
Durham
Enfield
Epping
Exeter
Farmington
Fitzwilliam
Franklin
Gilford
Goffslown
Gorham
Hampstead
Hampton
Hanover
805
12
8
20
3
4
10
12
8
34
12
14
19
5
3
4
4
4
4
6
II
7
4
3
19
7
27
201
2,230
7
14
186
426
115
3
17
654
7
4
19
3
2
9
11
7
30
22
7
18
153
1,513
6
10
126
284
77
3
14
7
151
5
4
1
9
48
717
1
4
60
142
38
NEW HAMPSHIRE— Continued
Henniker
Hinsdale
Holderness
Hollis
Hooksett
Hudson
Jaffrey
Keene
Kingston
Laconia
Lancaster
Lebanon
Lincoln
Litchfield
Littleton
Londonderry
Manchester
Merrimack
Milford
Milton
Moultonborough
Nashua
New Castle
New Hampton
Newington
Newmarket
Newport
Newton
Norlhfield
North Hampton
Northumberland
Norlhwood
Orford
Pembroke
Peterborough
Pittsfield
Plaislow
Plymouth
Portsmouth
Raymond
Rindge
Rochester
Rye
Salem
Seabrook
Somersworth
Swanzey
Tilton
Wakefield
Wilton
Winchester
Windham
Wolfeboro
NEW JERSEY
Aberdeen Township
Absecon
Allendale
Allenhurst
Allentown
Alpha
Alpine
Andover Township
Asbury Park
Atlantic City
Atlantic Highlands
Audubon
Audubon Park
Avalon
Avon-by-the-Sea
Barnegal Township
Barrington
Bay Head
Bayonne
7
6
5
7
34
38
13
56
7
42
6
42
12
9
10
44
225
42
22
5
8
198
2
4
10
10
16
5
7
10
4
4
1
II
12
5
18
17
81
10
7
46
9
63
28
26
7
9
8
6
5
20
13
37
29
18
12
8
4
12
II
67
479
19
18
4
31
II
24
15
9
205
6
5
5
5
20
28
11
43
6
33
6
30
9
32
178
31
19
4
8
144
2
4
9
9
12
4
6
9
4
3
1
10
10
4
12
10
61
9
6
37
8
49
21
19
6
8
7
5
4
15
10
30
27
14
8
6
4
12
7
60
409
13
17
4
21
II
19
14
326
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW JERSEY— Continued
Beach Haven
Beachwood
Bedminster Township
Belleville
Bellmawr
Belmar
Belvidere
Bergenfield
Berkeley Heights
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
Bndgeton
Bridgewater Township
Bnelle
Bhgantine
Brooklawn.
Buena
Burlington
Burlington Township
Butler
Byram Township
Caldwell
Califon
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
Closler
Collingswood
Colts Neck Township
Cranbury Township
Cranford Township
Cresskill
Deal
Delanco Township
Delaware Township
Delran Township
Demarest
Denville Township
Deptford Township
Dover
Dover Township
17
16
14
99
26
28
5
54
31
76
18
18
36
22
9
8
139
12
20
22
10
II
24
23
22
20
97
69
77
17
47
5
14
34
42
14
16
23
2
428
24
30
24
62
31
24
29
156
9
9
2
16
35
49
21
13
44
155
7
22
21
29
18
12
65
26
17
8
6
31
12
35
60
38
153
13
14
13
94
20
22
5
48
26
59
17
16
27
16
8
5
119
11
19
17
10
10
18
18
18
19
86
59
63
15
38
5
9
30
34
14
14
21
2
351
16
27
18
52
30
19
24
124
2
15
30
43
15
12
41
131
7
20
19
27
16
II
49
23
12
7
6
25
12
28
51
34
122
NEW JERSEY— Continued
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
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
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)
Hammonlon
Hanover Township
Harding Township
Hardyston Township
Harrington Park
Harrison
Harrison Township
Harvey Cedars
37
18
15
127
13
34
8
280
28
56
43
23
13
216
22
87
408
7
4
33
19
85
27
3
13
48
93
39
14
64
27
22
4
12
25
29
112
13
26
28
4
97
33
57
4
47
65
18
49
35
24
26
88
21
20
4
24
129
21
28
21
26
21
8
52
209
34
34
15
19
1
50
9
7
33
14
14
93
II
28
8
253
25
43
33
22
12
174
14
66
332
6
4
30
19
68
26
3
II
43
77
35
13
54
27
21
4
11
20
28
93
12
21
22
4
78
26
46
4
43
57
16
38
27
20
24
70
16
15
4
21
106
16
22
16
23
16
7
38
172
27
26
14
13
11
49
9
7
327
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1994— Continued
City
NEW JERSEY— Continued
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
Inlerlaken
Irvington
Island Heights
Jackson Township
Jamesburg
Jefferson Township
Jersey City
Keansburg
Kearny
Kenilworth
Keyport
Kinnelon
Lacey Township
Lakehurst
Lakewood
Lambertville
Laurel Springs
Lavellette
Lawnside
Lawrence Township
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 (Burlington County). .
Mansfield Township (Warren County)
Mantoloking
Mantua Township
Manville
Maple Shade Township
Total
police
employees
33
12
31
51
3
6
36
17
18
50
21
79
3
148
14
6
37
32
36
79
6
5
219
6
73
10
39
864
38
117
24
25
16
43
9
114
12
8
16
II
69
8
27
26
134
40
22
41
29
29
19
67
58
13
44
96
28
15
13
16
64
20
54
38
8
56
58
24
73
4
II
8
30
25
38
Total
officers
30
10
30
43
3
6
29
13
14
41
20
68
3
136
14
5
29
25
28
63
5
5
189
6
54
9
33
764
29
108
23
19
15
35
8
92
11
7
II
10
57
7
22
24
125
37
18
32
24
26
14
59
46
12
37
78
21
II
9
12
49
18
50
35
8
50
46
18
62
4
11
7
20
23
30
Total
civilians
6
100
9
9
1
6
1
City
NEW JERSEY— Continued
Maplewood Township
Margate City
Marlboro Township
Malawan
Maywood
Medford Lakes
Medford Township
Mendham
Mendham Township
Merchantville
Metuchen
Middlesex
Middle Township
Middletown Township
Midland Park
Milford
Millburn Township
Milltown
Millville
Mine Hill Township
Monmouth Beach
Monroe Township (Gloucester County i
Monroe Township (Middlesex County)
Montclair
Montgomery Township
Montvale
Montville Township
Moonachie
Moorestown Township
Morns Plains
Mornstown
Morns Township
Mountain Lakes
Mountainside
Mount Arlington
Mount Ephraim
Mount Holly ■
Mount Laurel Township
Mount Olive Township
Mullica Township
National Park
Neptune
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
Oakland
Oaklyn
Ocean City
Ocean Gate
Oceanport
Ocean Township (Monmouth County) ....
Ocean Township (Ocean County)
Ogdensburg
Old Bndge
Old Tappan
Oradell
Orange
Total
police
employees
69
40
76
26
28
9
41
II
15
13
34
32
56
121
13
1
53
16
81
10
II
59
42
123
30
20
41
18
41
24
66
52
15
26
9
13
29
64
45
15
6
20
.334
172
4
3
35
28
31
41
131
98
19
23
19
7
48
12
35
14
72
34
12
79
6
19
70
16
7
117
13
23
110
Total
officers
56
30
59
21
23
8
32
10
13
12
28
30
39
97
12
I
47
13
68
9
10
48
29
103
21
19
36
15
33
18
57
44
12
21
8
12
26
50
38
14
6
16
65
7
1.182
137
4
3
32
23
24
34
115
84
18
21
15
6
42
II
28
13
64
29
9
64
6
14
57
12
7
81
12
328
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994— Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW JERSEY— Continued
Oxford Township
Palisades Park
Palmyra
Paramus
Park Ridge
Parsippany-Troy Hills Township
Passaic
Paterson
Paulsboro
Peapack and Gladstone
Pemberton
Pemberton Township
Pennsauken
Penns Grove
Pennsville Township
Pequannock Township
Perth Amboy
Phillipsburg
Pine Beach
Pine Hill
Pine Valley
Piscalaway Township
Pitman
Plainfield
Plainsboro Township
Pleasantville
Plumsted Township
Pohalcong Township
Point Pleasant
Point Pleasant Beach
Pompton Lakes
Princeton
Princeton Township
Prospect Park
Rahway
Ramsey
Randolph Township
Ranlan
Rantan Township
Readington Township
Red Bank
Ridgefield
Ridgefield Park
Ridgewood
Rmgwood
Riverdale
River Edge
Riverside
Riverton
River Vale
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
4
28
IS
lib
->->
131
157
)80
20
9
4
62
122
19
34
30
131
35
6
16
7
106
19
176
38
53
7
8
36
30
22
39
38
13
84
34
45
17
32
17
47
43
32
48
26
13
26
13
6
19
20
15
62
22
69
39
47
18
18
48
32
15
26
103
45
12
13
4
24
16
90
19
110
147
302
14
8
4
55
92
14
27
25
119
29
5
14
6
89
14
138
29
45
6
7
28
22
16
31
31
12
79
29
37
15
28
15
39
27
29
41
20
10
23
12
6
19
20
14
49
21
56
33
39
17
16
42
30
13
19
86
40
10
II
22
24
14
56
10
15
II
25
NEW JERSEY— Continued
Somerville
South Amboy
South Belmar
South Bound Brook
South Brunswick Township
South Hackensack
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
Si 1 1 1 « ater Township
Stone Harbor
Stratford
Summit
Surf City
Swedesboro
Teaneck Township
Tenafly
Tewksbury Township
Tinton Falls
Totowa
Trenton
Tuckerton
Union Beach
Union City
Union Township
Upper Saddle River
Vcnlnor City
Vernon Tow nship
Verona
Vineland
Voorhees Township
Waldwick
Walhngton
Wall Tow nship
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
Westamplon Township
West Amwell Township
West Caldwell
West Cape May
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
Wildwood Crest
40
32
9
12
85
21
4
62
74
27
9
35
22
47
4
17
16
50
6
3
21
14
54
14
6
107
33
9
37
27
420
7
21
199
174
21
48
37
34
139
56
22
21
61
23
29
14
22
81
23
36
11
31
24
135
48
7
22
5
31
5
38
69
22
48
101
112
22
13
4
48
26
II
52
28
34
30
9
12
56
IS
3
54
58
21
8
28
18
43
4
13
12
38
5
3
16
13
42
II
6
92
28
8
30
25
369
7
13
176
120
17
38
28
31
123
43
18
21
50
19
22
12
22
67
17
28
10
23
22
107
44
6
19
4
30
5
31
59
18
41
101
100
21
9
4
37
25
10
43
329
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW JERSEY— Continued
Willingboro Township
Winfield Township
Winslow Township
Woodbridge Township
Woodbury
Woodbury Heights
Woodcliff Lake
Woodlynne
Wood Ridge
Woodstown
Woolwich Township
Wyckoff
NEW MEXICO
Acoma
Alamogordo
Albuquerque
Artesia
Aztec
Belen
Bernalillo
Bloomfield
Clayton
Clovis
Corrales
Cuba
Deming
Eunice
Farmington
Gallup
Grants
Hobbs
Hurley
Jal
Jamez Springs
Las Cruces
Los Lunas
Lovington
Milan
M' Mllll.lllJ.il
Portales
Questa
Raton
Red River
Rio Rancho
Roswell
Ruidoso
Ruidoso Downs
San lldefonso Pueblo
Santa Rosa
Silver City
Taos
Taos Pueblo Tribal
Tatum
Tucumcari
Tularosa
Village of Wagon Mound
NEW YORK
Albany
Albion Village
Alexandria Bay Village
Alfred Village
Amherst Town
Amityville Village
Amsterdam
Andover Village
Ardsley
Asharoken Village
Attica Village
Auburn
Avon Village
Baldwinsville Village
II
83
1,093
37
20
25
14
17
16
79
20
6
32
10
125
114
28
109
4
10
1
157
30
24
13
6
31
4
22
8
136
105
32
9
3
9
34
32
II
7
30
13
1
399
13
2
6
174
29
34
1
17
2
6
64
4
15
67
193
28
7
16
8
19
7
5
24
6
63
790
22
15
18
8
15
6
60
12
2
26
6
85
58
21
71
4
6
1
122
23
17
8
4
22
3
14
4
84
85
20
5
2
6
27
18
7
3
22
331
12
2
6
149
26
32
1
17
2
5
55
4
12
5
20
303
15
5
7
6
2
10
19
8
4
6
4
40
56
7
38
NEW YORK— Continued
Ballston Spa Village
Batavia
Bath Village
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
Buchanan Village
Cambridge Village
Camden Village
Camillus Town and Village
Canadaigua
Canastota Village
Canton Village
Carmel Town
Carroll Town
Catskill Village
Cayuga Heights Village
Cazenovia Village
Centre Island Village
Cheektowaga Town
Chester Town
Clayton Village
Clay Town
Clifton Springs Village
Cobleskill Village
Coeymans Town
Colchester Town
Cold Spring Village
Colonie Town
Cooperstown Village
Corinth Village
Corning
Cornwall-on-Hudson Village
Cortland
Corllandt Town
Croton-on-Hudson Village
Cuba Town
Dansville Village
Delhi Village
Depew Village
Deposit Village
Dewitt Town
Dobbs Ferry 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
Ellicolt Town
Ellicotrville
Elmira
Elmira Heights Village
Elmira Town
Elmsford Village
Endicott Village
Evans Town
Fairporl Village
Fallsburg Town
Floral Park Village
Florida Village
12
36
14
36
41
47
151
13
1
1
2
1
18
49
10
24
7
2
3
21
29
5
II
39
1
13
7
5
5
169
4
4
21
1
9
8
2
2
145
7
4
30
5
42
17
19
4
12
4
38
3
36
25
4
32
19
61
28
23
60
9
II
5
12
2
81
9
4
16
38
23
11
22
46
1
7
31
II
35
36
36
142
12
I
I
2
1
18
40
10
24
7
2
3
20
26
4
9
36
1
13
6
5
5
131
4
4
17
1
9
5
2
2
106
6
4
25
5
39
10
19
4
8
4
30
3
33
24
3
32
15
52
20
17
49
4
II
2
76
9
4
16
36
18
10
18
36
1
330
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW YORK— Continued
Fort Edward Village
Frankfort Village
Fredonia Village
Freeport Village
Fulton
Garden City Village
Gates Town
Geddes Town
Geneseo Village
Geneva
Glens Falls
Glenville Town
Gloversville
Goshen Village
Gouverneur Village
Granville Village
Great Neck Estates Village
Greece Town
Greenburgh Tow n
Greene Village
Green Island Village
Greenport Town
Greenwich Village
Greenwood Lake Village
Groton Village
Hamburg Village
Harriman Village
Harrison Town
Haverstraw Town
Haverstraw Village
Hempstead Village
Herkimer Village
Highland Falls Village
Highlands Town
Holley Village
Homer Village
Hoosick Falls Village
Hornell
Horseheads Village
Hudson
Hudson Falls Village
Hyde Park Town
Ilion Village
Inlet Town
Irondequoit Town
Irvington Village
Jamestown
Johnson City Village
Johnstown
Kenmore Village
Kensington Village
Kent Town
Kingston
Lackawanna
Lake Placid Village
Lake Success Village
Lakewood-Busn
Lancaster Town
Lancaster Village
Larchmont Village
Laurel Hollow Village
Le Roy Village
Lewislon Village
Liberty Village
Little Falls
Liverpool Village
Lloyd Harbor Village
Lloyd Town
Lockport
Lowville Village
Lynbrook Village
Lyons Village
Macedon Town and Village
Malone Village
Mamaroneck Town
4
3
18
106
38
67
35
17
7
38
39
28
33
13
12
6
14
98
123
1
4
1
1
13
1
21
5
67
29
21
129
21
II
1
2
5
4
16
93
35
53
29
15
7
34
31
19
31
12
8
6
13
90
101
1
4
1
1
10
1
15
5
59
28
21
96
20
7
NEW YORK— Continued
Mamaroneck Village
Manlius Town _
Marcellus Village
Marlborough Town
Massena Village
Mechanicville
Medina Village
Menands Village
Middleport Village
Middletown
Mohawk Village
Monroe Village
Montgomery Town
Monticello Village
Moravia Village
Monah Town
Mount Hope Town
Mount Pleasant Town
Mount Vernon
Nassau Village
Newark Village
Newburgh
Newburgh Town
New Castle Town
New Hartford Town and Village
New Rochelle
New Windsor Town
New York
New York Mills Village
Niagara Falls
Niagara Town
Niskayuna Town
North Castle Town
North Greenbush Town
Northport Village
North Syracuse Village
North Tarrytown Village
North Tonawanda
Norwich
Norwood Village
Ocean Beach Village
Ogdensburg
Ogden Town
Old Brookville Village
Old Weslbury Village
Olean
Olive Town
Oneida
Oneonla
Orchard Park Town
Ossinging Village
Oswego
Owego Village
Oxford Village
Oyster Bay Cove Village
Painted Post Village
Palmyra Village
Pawling Village
Pelham Manor Village
Pelham Village
Penn Yan Village
Perry Village
Piermont Village
Pleasantville Village
Port Chester Village
Port Dickinson Village
Port Jervis
Port Washington Village
Potsdam Village
Poughkeepsie Town
Pound Ridge Town
Pulaski Village
Putnam Valley Town
Quogue Village
Ramapo Town
52
42
1
8
23
II
16
13
2
61
3
17
3
23
1
2
1
48
263
19
82
54
38
25
217
44
39.953
2
177
4
38
33
II
20
14
23
61
20
2
29
14
47
28
38
2
23
29
32
58
50
12
1
11
4
7
5
28
26
II
5
8
24
62
4
25
67
19
86
1
2
17
13
120
46
37
1
5
21
II
13
10
2
55
3
14
2
20
1
2
1
43
177
1
18
67
40
36
14
178
32
30.135
2
157
4
30
29
9
16
11
23
57
19
2
24
11
38
23
36
2
20
26
30
50
45
8
1
11
4
6
5
28
23
10
5
8
22
58
3
25
58
15
75
1
2
II
13
105
331
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Ciiy
Total
police
:mployees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW YORK— Continued
Rensselaer
Riverhead Town
Rockville Centre Village
Rosendale Town
Rotterdam Town
Rouses Point Village
Rye
Rye Brook Village
St. Johnsville Village
Salamanca
Sands Point Village
Saranac Lake Village
Saratoga Springs
Saugerties Town
Saugerties Village
Scarsdale Village
Schenectady
Schodack Town
Schoharie Village
Scotia Village
Seneca Falls Village
Shandaken Town
Shawangunk Town
Shelter Island Town
Sherburne Village
Sherrill
Sidney Village
Silver Creek Village
Skaneateles Village.
Sodus Village
Solvay Village
Southampton Town
Southampton Village
South Glens Falls Village
South Nyack-Grandview
Southold Town
Spring Valley Village
Stony Point Town
Suffern Village
Syracuse
Tarrytown Village
Tonawanda
Tonawanda Town
Trumansburg Village
Tuckahoe Village
Tupper Lake Village
Tuxedo Town
Ulster Town
Vestal Town
Walden Village
Wallkill Town
Walton Village
Wappingers Falls Village
Warwick Town
Washingtonville Village
Waterford Town and Village
Waterloo Village
Watertown
Watervliet
Watkins Glen Village
Waverly Village
Wayland Village
Webb Town
Webster Town and Village
Westfield Village
Westhampton Beach Village
West Seneca Town
Whitehall Village
While Plains
Whitesboro Village
Whitestown Town
Windham Town
Wolcott Village
Woodbury Town
Woodstock Town
33
86
58
3
51
3
41
24
3
13
21
15
67
18
12
45
178
8
1
16
16
1
3
9
1
4
8
6
5
1
13
114
34
6
6
51
68
27
31
577
39
35
149
1
28
12
12
24
41
II
24
6
4
31
II
12
9
66
25
5
15
1
4
36
5
16
75
3
239
6
5
4
1
17
10
27
69
49
3
41
3
37
23
3
13
21
15
61
14
10
41
157
7
1
15
12
1
3
7
1
4
8
5
5
1
13
90
24
6
6
38
60
26
26
481
32
31
105
I
25
II
9
20
33
8
19
5
2
26
10
9
8
62
25
5
10
1
4
29
5
14
65
3
199
6
5
NEW YORK— Continued
Yorktown Town
Yorkville Village
NORTH CAROLINA
Aberdeen
Ahoskie
Albemarle
Andrews
Angler
Apex
Archdae
Asheboro
Asheville
Atlantic Beach
Aulander
Aurora
Ayden
Bailey
Banner Elk
Battleboro
Beaufort
Beech Mountain
Belhaven
Belmont
Benson
Bessemer City
Bethel
Beulaville
Biscoe
Black Creek
Black Mountain
Bladenboro
Blowing Rock
Boiling Springs
Boiling Spring LaJces . .
Boone
Brevard
Broadway
Brookford
Bryson City
Bunn
Burgaw
Burlington
Burner
Candor
Canton
Cape Carteret
Carolina Beach
Carrboro
Cary
Caswell Beach
Catawba
Chadbourn
Chapel Hill
Charlotte-Mecklenburg .
Cherry ville
China Grove
Claremonl
Clayton
Cleveland
Clinton
Clyde
Coats
Concord
Conover
Conway
Cooleemee
Cornelius
Cramerton
Creedmoor
Dallas
Davidson
Dobson
Drexel
19
17
21
17
48
42
6
6
8
8
23
18
20
15
49
44
200
162
26
21
2
2
20
15
2
2
5
5
3
3
13
13
13
9
13
10
26
22
19
15
16
11
8
7
3
3
6
6
2
2
18
14
5
5
12
8
4
4
5
5
38
33
22
19
3
3
5
5
3
3
7
7
117
88
42
36
4
4
17
14
5
5
25
19
30
28
87
69
3
3
9
7
97
78
1.510
1.207
17
14
7
7
5
5
23
18
3
3
35
27
4
4
5
5
95
72
19
18
3
3
19
13
7
7
10
8
13
9
13
9
3
3
332
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NORTH CAROLINA— Continued
Dunn
Durham
East Spencer
Eden
Edenton
Elizabeth City
Elizabethtown
Elkin
Ellerbe
Elm City
Elon College
Emerald Isle
Enfield
Erwin
Fair Bluff
Fairmont
Farmville
Fayetteville
Forest City
Four Oaks
Foxfire Village
Franklin
Franklinton
Fremont
Fuquay-Varina
Garner
Garysburg
Gastonia
Gibsonville
Glen Alpine
Goldsboro
Graham
Granite Falls
Greensboro
Greenville
Grifton
Hamlet
Havelock
Hazelwood
Henderson
Hendersonville
Hertford
Hickory
Highlands
High Point
High Shoals
Hillsborough
Holden Beach
Holly Ridge
Holly Springs
Hope Mills
Hudson
Huntersville
Indian Beach
Jacksonville
Jefferson
Jonesville
Kannapolis
Kenansville
Kenly
Kernersville
Kill Devil Hills
King
Kings Mountain
Kinston
Kitty Hawk
Knightdale
La Grange
Lake Lure
Lake Waccamaw
Landis
Laurel Park
Laurinburg
Leland
Lenoir
41
400
5
54
18
53
15
21
1
3
10
19
15
14
9
15
21
321
14
9
3
20
41
3
194
13
1
111
22
12
558
145
5
22
31
4
60
49
10
111
9
198
1
19
6
4
5
21
11
16
4
119
3
6
82
3
6
43
26
12
31
90
15
8
6
9
2
4
4
38
6
58
31
341
5
48
16
46
14
17
1
3
9
15
II
10
5
II
17
247
23
3
2
13
8
3
15
38
3
158
10
1
90
20
11
429
116
5
17
21
4
52
36
9
86
9
176
1
18
6
4
5
14
10
15
4
96
3
6
72
3
6
35
21
II
24
78
13
7
6
9
2
4
4
33
6
48
1
129
29
NORTH CAROLINA— Continued
Lewiston
Lexington
Liberty
Lillington
Lincolnton
Locust
Long Beach
Longvlew
Louisburg
Lowell
Lucama
Lumberton
Madison
Maggie Valley
Maiden
Manteo
Manon
Mars Hill
Marshville
Matthews
Maxton
Mayodan
McAdenville
Mebane
Middlesex
Mocksville
Monroe
Montreal
Mooresville
Morehead City
Morganton
Morrisville
Mount Airy
Mount Gilead
Mount Holly
Mount Olive
Murfreesboro
Murphy
Nags Head
Nashville
New Bern
Newland
Newport
Newton
Newton Grove
Norlina
North Topsail Beach
North Wilkesboro
Norwood
Oakboro
Ocean Isle Beach
Old Fort
Oxford
Parkton
Pembroke
Pilot Mountain
Pinebluff
Pinehurst
Pine Knoll Shores
Pine Level
Pinetops
Pineville
Pink Hill
Pittsboro
Plymouth
Polkville
Pnncelon
Raeford
Raleigh
Ramseur
Randleman
Ranlo
Red Springs
Reidsville
Rhodhiss
3
78
8
6
29
5
17
12
13
6
2
75
15
3
14
7
22
5
6
41
II
14
4
15
4
13
88
5
32
29
96
12
45
4
25
18
12
12
19
9
87
4
4
42
3
5
10
18
5
3
7
5
33
2
14
9
2
23
9
2
9
29
1
7
12
1
3
16
592
6
9
6
18
53
1
6
25
5
13
12
12
6
2
65
14
3
13
6
17
5
6
31
9
12
4
12
4
12
77
5
27
23
78
10
33
4
20
14
67
4
4
33
3
4
9
15
5
3
7
5
27
:
10
6
22
1
7
8
I
3
15
532
6
9
6
14
44
1
333
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NORTH CAROLINA— Continued
Richlands
River Bend
Roanoke Rapids
Robbins
Robersonville
Rockingham
Rocky Mount
Rolesville
Rose Hill
Rowland
Roxboro
Rulherfordlon
St. Pauls
Salisbury
Saluda
Sanford
Scotland Neck
Selma
Seven Devils
Shallotte
Sharpsburg
Shelby
SilerCtty
Sinirhl i. M
Southern Pines
Southern Shores
Southport
Sparta
Spencer
Spindale
Spring Hope
Spring Lake
Spruce Pine
Stanley
Stantonsburg
Star
Stoneville
Sugar Mountain
Sunset Beach
Surf City
Swansboro
Sylva
Tabor City
Tarboro
Taylortown
Taylorsville
Thomasville
Topsail Beach
Trent Woods
Troutman
Troy
Tryon
Valdese
Vanceboro
Vass
Wadesboro
Wagram
Wake Forest
Wallace
Walnut Cove
Warsaw
Washington
Waxhaw
Waynesville
Weaverville
Weldon
Wendell
West Jefferson
Whispering Pines
Whitakers
White Lake
Whiteville
Wilkesboro
Williamston
Wilmington
4
3
42
7
7
29
167
6
4
9
31
12
13
95
2
81
13
27
6
8
4
54
20
38
33
9
8
5
7
12
6
24
14
13
3
4
3
6
5
6
4
34
1
9
60
5
4
5
9
13
12
2
3
23
1
19
14
5
13
38
4
26
7
12
13
5
6
3
4
31
16
15
157
4
3
34
6
7
23
134
4
4
5
28
11
9
75
2
67
7
22
6
7
4
53
18
32
28
9
7
5
7
12
6
17
9
9
3
4
3
6
5
6
4
8
7
26
1
9
53
5
4
5
9
9
II
14
II
5
10
31
4
24
7
8
9
5
6
2
4
25
15
14
145
NORTH CAROLINA— Continued
Wilson
Windsor
Winfall
Wingate
Winston-Salem
Winterville
Winton
Woodfin
Woodland
Wrightsville Beach
Yadklnville
Yaupon Beach
Youngsville
Zebulon
NORTH DAKOTA
Bculah
Bismarck
Bow man
Carrington
Casselton
Cavalier
Cooperstown .
Crosby
Devils Lake . . .
Dickinson
Elgin
Emerado
Fargo
Fessenden
Grafton
Grand Forks. . .
Gwinner
Harvey
Hazen
Hillsboro
Jamestown ...
Larunore
Lehr
Linton
Lisbon
Mandan
Mayville
Minot
Napoleon
New Rockford .
Northwood ....
Oakes
Parshall
Rugby
South Heart
Stanton
Steele
Thompson
Valley City
Wahpeton
Watford City .
West Fargo. . . .
Williston
Wishek
OHIO
Ada
Akron
Alliance
Amberley
Amherst
Archbold
Ashland
Ashtabula
Athens
Aurora
Avon Lake
Bainbridge Township
92
6
1
4
554
8
1
7
1
25
8
4
5
17
10
533
51
17
20
8
41
44
34
22
27
80
6
I
4
428
8
1
7
I
19
8
4
5
16
74
3
4
3
14
24
I
27
3
54
4
1
1
1
1
I I
12
3
14
20
7
455
38
15
15
8
29
37
22
17
23
16
334
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tolal
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Tolal
officers
Total
civilians
62
48
14
7
7
24
18
6
6
6
28
27
1
2
2
38
31
7
3
3
22
18
4
38
32
6
46
41
5
17
13
4
71
56
15
16
12
4
4
4
11
7
4
5
5
4
4
24
20
4
7
6
1
9
5
4
7
6
1
12
9
3
14
13
1
48
37
11
132
112
20
21
18
3
5
5
7
6
1
32
20
12
46
34
12
11
10
1
16
12
4
5
5
48
44
4
12
II
1
15
11
4
47
32
15
24
19
5
31
26
5
19
18
1
8
4
4
58
39
19
106
80
26
9
8
1
6
4
2
12
11
1
105
85
20
91
67
24
5
5
29
22
7
10
6
4
23
22
1
109
87
22
18
13
5
130
104
26
12
8
4
14
11
3
15
14
1
3
3
29
36
7
12
11
1
15
13
2
24
19
5
128
97
31
60
42
18
10
9
1
36
29
7
75
54
21
2
2
19
15
4
20
19
1
52
49
3
50
40
10
43
34
9
OHIO — Continued
Barberton
Bath Township
Bay Village
Bazetla Township
Beavercreek
Beaver Township
Bedford
Bedford Heights
Hell. in i
Bellbrook
Bellefontaine
Bellevue
Belpre
Berea
Beverly
Bexley
Blanchester
Blue Ash
Bowling Green
Bradford
Brady Lake
Brecksville
Brewster
Bnarwood Beach
Bridgeport
Broadview Heights
Brooklyn
Brooklyn Heights
Brook Park
Brunswick
Bryan
Buckeye Lake
Bucyrus
Butler
Cadiz
Canfield
Canton
Carlisle
Centerville
Chagrin Falls
Chardon
Chillicothe
Cincinnati
Clear Creek Township
Cleveland
Cleveland Heights
Cleves
Clinton Township
Clyde
Coldwater
Columbus
Conneaut
Cortland
Covington
Crestline
Cuyahoga Falls
Dayton
Deer Park
Delaware
Delhi Township
Delta
Dennison
Dover
Dublin
East Canton
East Cleveland
Eastlake
East Palestine
Eaton
Elmwood Place
Elyna
Englewood
Euclid
Fairborn
Fairfax
26
8
48
12
35
44
13
10
29
15
16
39
5
36
7
43
41
3
1
30
4
3
8
30
34
13
55
37
23
3
20
2
4
15
193
6
39
19
13
57
1.203
9
1,962
116
2
9
15
5
1,873
34
8
6
13
97
569
10
42
30
5
4
21
59
2
67
38
10
17
7
113
22
161
53
9
33
13
6
22
12
II
30
3
28
5
34
31
3
1
26
4
3
5
23
28
13
42
29
18
3
14
2
4
10
175
6
31
12
8
50
975
8
1,751
100
11
5
1.507
19
8
5
9
85
466
9
30
27
5
4
19
44
2
54
30
6
II
6
94
16
96
41
9
8
7
5
7
228
1
211
16
366
15
1
4
12
103
1
12
3
OHIO— Continued
Fairfield
Fairfield Township :
Fairlawn
Fairporl Harbor
Fairview Park
Fayette
Forest Park
Fort Shawnee
Franklin
Fremont
Gahanna
Gallipolis
Garfield Heights
Gates Mills
Geneva-on-lhe-Lake
Germantown
German Township
Gibsonburg
Girard
Glendale
Golf Manor
Goshen Township
Granville
Greenfield
Grove City
Hamilton
Harrison
Hartville
Hicksville
Highland Heights
Hilliard
Hinckley Township
Hubbard
Hubbard Township
Huber Heights
Hunting Valley
Huron
Independence
Indian Hill
Jackson Township
Jefferson
Johnstown
Kent
Kettering
Kirtland Hills
Lakemore
Lake Township
Lakewood
Lancaster
Lawrence Township
Lebanon
Lexington
Liberty Township
Lima
Logan
Lorain
Lordstown
Louisville
Loveland
Lowell Marshal
Lyndhurst
Madeira . .
Madison Township (Lake County)
Madison Township (Montgomery County)
Mansfield
Maple Heights
Mariemont
Marietta
Marion
Marlboro Township
Marysville
Mason
Massillon
Maumee
Mayfield Heights
335
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
OHIO— Continued
Mayfield Village
McConnelsville
Mentor
Mentor-on-the-Lake
Miamisburg
Miami Township
Middleburg Heights
Middlefield
Middletown
Milford
Minerva
Mingo Junction
Mogadore
Monroe
Montgomery
Montpelier
Moraine
Mount Sterling
Munroe Falls
Navarre
Newark
Newcomerstown
New Lebanon
New Lexington
New Philadelphia
Newtown
Niles
North Baltimore
North Canton
North Olmsted
North Ridgeville
North Royalton
Nortfiwood
Norton
Norwalk
Norwood
Oak Harbor
Oakwood Village
Oberlin
Olmsted Township
Ontario
Oregon
Orrville
Ottawa Hills
Parma
Parma Heights
Pataskala
Pepper Pike
Perkins Township
Perrysburg
Perry Township (Stark County l
Pierce Township
Piqua
Plain City
Poland Township
Poland Village
Port Clinton
Portsmouth
Randolph Township
Reading
Reynoldsburg
Richmond Heights
Rossford
St. Marys
Salem
Salineville
Sandusky
Sebring
Seven Hills
Seville
Shadyside
Shaker Heights
Sharonville
Sheffield Lake
Shelby
21
4
92
14
41
28
36
7
120
15
12
13
7
5
18
9
36
8
7
4
75
10
8
10
24
5
36
5
26
73
34
49
19
21
26
44
6
17
18
14
20
54
20
15
105
40
5
19
14
27
22
12
33
4
7
4
17
46
12
23
53
25
16
18
20
2
57
9
16
6
8
98
44
10
18
OHIO — Continued
Silverton
Solon
Souih Euclid
South Russell
South Solon
Spencerville
Springboro .
Spnngdale .
Springfield
Springfield Township (Hamilton County)
Steubenville
Stow
Streetsboro
Strongsville
Sunbury
Swanton
Sylvania
Sylvanu Township
Tallmadge
Tiffin
Tipe City
Toledo
Toronto
Trenton
Trotwood
Troy
Twinsburg
Uniontown
Union Township (Butler County l
Union Township (Clermont County)
University Heighls
Upper Arlington
Upper Sandusky
Urbana
Valley View
Vandalia
Van Wert
\fermilion
Village of Highland Hills
Wadsworth
Waite Hill
Walbridge .
Walton Hills
Warrensville Heights
Washington Court House
Waterville
Walerville Township
Wauseon
Waverly
Waynesville
Wellington
West Carrollton
Westerville
West Jefferson
Westlake
Wickliffe
Willard
Willoughby
Willoughby Hills
Willowick
Wilmington
Windham
Woodlawn
Woodsfield
Woodville
Wooster
Worthington
Wyoming
Xenia
Yellow Springs
Zanesville
OKLAHOMA
Ada
13
51
43
8
1
5
18
37
160
38
57
44
24
66
7
6
36
31
35
43
14
773
10
11
25
37
27
8
52
45
38
62
9
23
15
37
26
22
5
29
5
8
15
37
21
12
4
II
16
in
40
36
8
I
4
13
30
123
32
47
28
17
56
7
6
30
23
23
30
13
706
10
7
23
35
21
7
37
32
30
53
7
20
13
28
20
17
5
24
5
4
II
33
16
I I
4
9
II
2
4
25
54
8
41
31
15
36
16
23
18
3
36
.11
14
45
336
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Ciiy
Total
police
employees
Toial
officers
Total
civilians
City
Total
police
employees
Total
officers
OKLAHOMA— Continued
Alius
Alva
Anadarko
Antlers
Apache
Ardmore
Arkoma
Atoka
Barnsdall
Bartlesville . . .
Beggs
Bethany
Bixby
Blackwell
Blanchard ....
Boise City ....
Bristow
Broken Arrow
Broken Bow ,
Burns Flat ....
Carnegie
Catoosa
Chandler
Checotah
Chelsea
Cherokee
Chickasha
Choctaw
Chouteau
Claremore ....
Clayton
Cleveland
Clinton
Coalgate
Collinsville . . .
Comanche ....
Commerce ....
Cordell
Coweta
Crescent . .
Gushing
Davis
Del City
Dewey
Drumright ....
Duncan
Durant
Edmond
Elk City
Elmore City . .
El Reno
Enid
Erick
Eufaula
Fairfax
Fairview
Forest Park . . .
Fort Gibson . . .
Frederick
Geary
Glenpool
Goodwell
Gore
Granite
Grove
Guthrie
Guymon
Harrah
Harlshorne . . .
Haskell
Healdton
Heavener
Hennessey ....
Henryetta ...
Hobart
52
13
21
8
4
61
7
13
6
75
6
31
17
19
12
3
14
104
16
2
9
10
11
13
4
7
44
15
5
46
7
8
28
5
10
4
3
6
18
7
24
II
42
9
4
50
34
93
26
6
29
106
OKLAHOMA— Continued
Holdenville
Hollis
Hominy
Hugo
Hulbert
ldabel
Inola
Jay
Jenks
Jones
Keyes
Kingfisher
Kingston
Konawa
Krebs
Laverne
Lawton
Lexington
Lindsay
Locust Grove
Lone Grove
Luther
Madill
Mangum
Mannford
Marietta
Marlow
Maud
Maysville
McAlester
McLoud
Meeker
Miami
Midwest City
Minco
Moore
Mooreland
Morris -
Muldrow
Muskogee
Mustang
Newcastle
Newlurk
Nichols Hills
Nicoma Park
Noble
Norman
Nowata
Oilton
Okeene
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
II
15
5
24
5
9
16
4
1
9
4
6
4
5
163
9
10
7
4
3
9
II
10
6
II
4
3
49
8
6
37
111
3
54
2
4
6
111
19
13
5
21
6
15
149
8
2
6
10
1.312
33
7
4
3
4
2
140
5
7
3
4
3
9
7
6
6
II
4
2
38
4
6
28
91
3
41
2
4
6
84
14
8
5
15
6
10
116
6
6
1,012
26
2
20
14
9
5
4
12
5
6
56
2
15
6
19
17
3
6
3
16
29
33
5
337
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
OKLAHOMA— Continued
Selling
Seminole
Shawnee
Skiatook
Snyder
Spencer
Spiro
Sttgler
Stillwater
Stilwell
Stratford
Stroud
Sulphur
Tahlequah
Talihina
Tecumseh
The Village
Tishomingo
Tonkawa
Tulsa
Turtle
Villi. ml
Vian
Vinita
Wagoner
Waiters
Warner
Warr Acres
Watonga
Waukomis
Waynoka
Weatherford
Weleelka
Westville
Wetumka
Wewoka
Wilburlon
Woodward
Wnght City
Wynnewood
Yale
Yukon
OREGON
Albany
Amity
Ashland
Astoria
Athena
Aumsville
Aurora
Baker
Bandon
Beaverton
Bend
Boardman
Brookings
Burns
Butte Falls
Canby
Cannon Beach
Carlton
Central Point
Clatskanie
Coburg
Coos Bay
Coquille
Cornelius
Corvallis
Cottage Grove
Creswell
Culver
Dallas
Dundee
2
19
72
14
2
10
5
13
88
19
3
17
14
33
7
16
30
8
II
8S1
8
8
3
19
15
4
4
32
10
2
2
28
5
9
5
14
8
28
1
9
7
36
2
13
52
9
2
9
5
8
60
12
3
10
9
24
4
11
24
7
7
738
5
4
3
13
II
4
4
22
7
2
2
18
5
4
5
11
5
20
1
5
3
27
7
5
9
3
5
6
1
4
113
3
4
OREGON— Continued
Eagle Point
Elgin
Enterprise
Eugene
Florence
Forest Grove
Garibaldi
Gaston
Gearhart
Gervais
Gladstone
Gold Beach
Gold Hill
Grants Pass
Gresham
Heppner
Hermiston
Hillsboro
Hines
Hood River
Hubbard
Independence
Jacksonville
Jefferson
John Day
Junction City
Keizer
King City
Klamath Falls
La Grande
Lake Oswego
Lakeview
Lebanon
Lincoln City
Madras
McMinnville
Medford
Milton-Freewater
Milwaukie
Molalla
Monmouth
Mount Angel
Myrtle Creek
Myrtle Point
Nehalem Bay
Newberg
Newport
North Bend
North Plains
Nyssa
Oakland
Oakndge
Ontario
Oregon City
Pendleton
Philomath
Phoenix
Pilot Rock
Portland
Powers
Prairie City
Prineville
Rainier
Redmond
Reedsport
Rockaway
Rogue River
Roseburg
Si Helens
Salem
Sandy
Scappose
Seaside
Shady Cove
Sherwood
1
2
4
263
20
28
2
1
2
1
17
6
1
46
130
2
23
60
2
12
5
II
3
3
9
II
29
3
32
30
65
5
27
28
9
34
107
13
36
9
II
7
15
7
2
28
25
22
3
8
3
II
27
26
28
8
6
4
1.268
2
2
20
6
24
17
3
5
39
20
247
9
10
22
4
6
I
2
4
154
12
22
2
I
2
I
12
5
1
33
96
2
16
48
2
10
4
10
3
2
4
7
23
3
30
17
42
5
21
20
8
27
76
9
26
8
9
6
9
6
2
19
21
17
2
7
3
6
20
23
22
7
5
3
1,013
2
2
13
5
19
12
3
5
36
17
158
16
3
338
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Ciiy
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
OREGON— Continued
Silverton
Sisters
Springfield
Stanfield
Stayion
Sutherlin
Sweet Home
Talent
The Dalles
Tigard
Tillamook
Toledo
Troutdale
Tualatin
Turner
Umatilla
Union
Vile
Veneta
Vernonia
Waldport
Warrenton
West Linn
Weston
Winston
Woodburn
Yamhill
PENNSYLVANIA
Abington Township
Adams Township
Akron
Albion
Albums
Aldan
Aleppo Township
Aliquippa
Allegheny Township (Blair County)
Allegheny Township (Westmoreland County)
Allentown
Altoona
Ambler
Ambridge
Amity Township
Annville Township
Archbald
Armagh Township
Arnold
Ashland
Ashley
Aspinwall
Aston Township
Athens
Athens Township
Avoca
Baden
Baldwin
Baldwin Township
Bally
Bangor
Barnesboro
Barrett Township
Beaver
Beaver Falls
Bedford
Bedminster Township
Belle Acres
Bellefonte
Bellevue
Bellwood
Ben Avon
Bensalem Township
Bentleyville
Benton
109
3
4
2
3
6
5
15
5
6
223
90
13
II
5
4
7
2
11
6
3
6
21
5
6
1
2
28
5
1
7
1
5
II
21
6
5
1
10
15
1
3
99
2
1
90
3
4
2
3
5
5
14
5
5
200
71
12
11
5
4
7
2
10
6
3
5
19
5
6
1
2
23
5
1
6
1
5
7
17
5
5
9
12
1
3
85
2
1
PENNSYLVANIA— Continued
Berlin
Bern Township
Berwick
Bethel Park
Bethlehem
Bethlehem Township
Big Beaver
Birdsboro
Birmingham Township
Blair Township
Blairsville
Blakely
Blawnox
Bloomsburg Town
Boyertown
Brackenndge
Braddock Hills
Bradford
Bradford Township
Brecknock Township
Brentwood
Briar Creek Township
Bridgeport
Bndgeville
Bndgewaler
Brighton Township
Bristol
Bristol Township
Brockway
Brookhaven
Brookville
Brownsville
Bryn Athyn
Buckingham Township
Bushkill Township
Butler
Butler Township (Butler County)
Butler Township (Luzerne County)
Butler Township (Schuylkill County)
Caernarvon Township (Lancaster County) .
California
Cain Township
Cambna Township
Camp Hill
Canonsburg
Canton
Carlisle
Carmichaels
Carnegie
Carroll Township (Washington County). . . .
Carroll Township (York County)
Carroll Valley
Carrolltown
Castle Shannon
Catasauqua
Catawissa
Cecil Township
Center Township
Centerville
Central Berks Regional
Chalfont
Chambersburg
Charleroi
Chartiers Township
Cheltenham Township
Chester
Cheswick
Chippewa Township
Christiana
Clarion
Clarks Summit
Clearfield
Cleona
Clifton Heights
Coaldale
5
7
13
43
158
22
3
6
1
3
3
7
4
16
6
5
3
20
6
3
18
2
10
7
2
4
13
66
2
8
7
9
5
18
5
23
21
4
37
2
15
4
4
2
1
II
9
3
10
8
4
13
5
29
10
9
89
111
3
8
1
9
6
4
7
12
35
I 14
21
3
6
1
3
3
7
4
13
3
6
5
3
19
1
5
1
3
14
4
2
9
1
6
1
2
4
12
1
58
8
7
7
1
6
1
5
4
5
16
2
5
22
1
19
2
4
7
1
6
2
12
2
7
8
15
2
7
30
7
11
4
4
4
?
1
10
1
8
1
3
1(1
8
4
12
1
5
26
3
9
1
9
80
9
101
10
3
7
1
1
8
1
5
1
8
7
9
1
3
339
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANIA— Continued
Coal Township
Coatesville
Cochranton
Colebrookdale Township
Collegeville
Collier Township
Collingdale
Columbia
Conemaugh Township (Somerset County) . .
Conestoga Township
Conewago Township
Conewango Township
Connellsville
Conway
Conyngham
Coolbaugh Township
Coopersburg
Coplay
Coraopolis
Cornwall
Corry
Crafton
Cranberry Township
Crescent Township
Cresson
Cressona
Cresson Township
Cumberland Township (Adams County). . . .
Cumru Township
Curwensville
Dale
Dallas
Dallas Township
Dalton
Danville
Darby
Darby Township
Dauphin
Denver
Derry
Derry Township (Dauphin County)
Dickson City
Donegal Township
Donora
Dormont
Douglass Township (Montgomery County) .
Downingtown
Doylestown
Doylestown Township
Du Bois
Duboistown
Duncansville
Dunmore
Dupont
Duquesne
East Bethlehem Township
East Brandywine Township
East Buffalo Township
East Conemaugh
East Coventry Township
East Deer Township
East Donegal Township
East Earl Township
East Fallowfield Township
East Franklin Township
East Hempfield Township
East Lampeter Township
East Lansdowne
East McKeesport
East Norriton Township
East Pennsboro Township
East Petersburg
East Pikeland Township
East Stroudsburg
Easttown Township
PENNSYLVANIA— Continued
East Washington
East Whiteland Township
Ebensburg
Economy
Edgewood
Edgeworth
Edinboro
Edwardsville
Elizabeth
Elizabethtown
Elizabethville
Elkland
Ellwood City
Emmaus
Emporium
Ephrata
Ephrata Township
Erie
Etna
Evans City
Everett
Exeter Township (Berks County)
Fairview
Fairview Township (Luzerne County)
Fairview Township (York County)
Falls Township (Bucks County)
Fawn Township
Ferguson Township
Ferndale
Findlay Township
Fleetwood
Folcroft
Ford City
Forest City
Forest Hills
Forks Township
Forty Fort
Forward Township
Foster Township
Fountain Hill
Fox Chapel
Frackville
Franconia Township
Franklin (Venango County)
Franklin Park
Franklin Township (Beaver County)
Franklin Township (Carbon County)
Freedom-Greenfield Township
Freeland
Freemansburg
Freeport
Gallitzin
Gettysburg
Guard
Glenolden
Granville Township
Greencastle
Greensburg
Green Tree
Greenville
Grove City
Hamburg
Hampden Township
Hampton Township
Hanover
Hanover Township (Luzerne County)
Harmar Township
Harmony Township
Harrisburg
Harrison Township
Harveys Lake
Hatboro
Hatfield Township
Haverford Township
Hazleton
2
13
5
11
7
5
8
6
1
15
1
2
18
17
2
23
9
230
5
2
2
21
3
14
58
2
13
2
19
5
9
4
2
15
II
6
5
6
5
II
6
9
21
8
1
3
2
5
2
2
1
15
4
9
5
5
33
12
12
8
7
19
19
21
20
4
4
231
15
3
18
26
73
27
2
12
5
10
7
5
7
6
I
13
1
2
14
15
1
20
8
193
4
2
2
20
1
3
13
49
2
II
2
13
5
9
4
2
10
10
5
5
5
5
II
6
8
16
7
1
3
2
5
2
2
13
4
8
5
5
27
II
II
8
7
18
18
19
15
4
4
181
II
3
13
22
60
23
340
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
14
12
2
2
2
21
15
6
20
17
3
14
14
20
16
4
5
5
28
25
3
156
129
27
26
19
7
50
45
5
10
9
1
32
25
7
13
12
1
15
10
5
28
25
3
12
II
1
3
3
2
2
1
1
4
1
4
4
4
6
6
7
6
1
58
44
14
2
2
5
4
1
2
2
3
3
38
1
30
1
2
8
2
3
3
5
5
2
1
2
1
2
2
35
29
6
2
2
2
2
28
26
2
4
4
29
22
7
15
1
14
1
12
1
17
5
3
1
3
1
4
4
11
10
1
6
6
7
7
14
13
1
53
43
10
6
5
1
21
1
20
1
2
1
2
3
3
63
52
11
4
3
1
12
11
1
11
10
1
6
5
1
3
3
13
12
1
11
7
4
68
54
14
2
2
38
29
9
5
5
31
26
5
5
5
2
2
PENNSYLVANIA— Continued
Hegins Township
Heidelberg
Heidelberg Township (Berks County)
Heidelberg Township (Lebanon County) . . .
Hellam Township
Hellertown
Hemlock Township
Hempfield Township
Hermitage
Highspire
Hilltown Township
Hollidaysburg
Honesdale
Hooversville
Hopewell Township
Horsham Township
Houtzdale
Hughesville
Hummelstown
Huntingdon
Independence Township
Indiana
Indiana Township
Industry
Ingram
Irwin
Jackson Township (Butler County)
Jackson Township (York County)
Jeannette
Jefferson
Jefferson Township
Jenkjntown
Jermyn
Jersey Shore
Jim Thorpe
Johnsonburg
Johnstown
Jones Township
Kane
Kennedy Township
Kennett Square
Kidder Township
Kilbuck Township
Kingston
Kingston Township
Kntanning
Kline Township
Kulztown
Lake City
Lake Township
Lancaster
Lancaster Township (Lancaster County)
Lansdale
Lansdowne
Lansford
Larksville
Latrobe
Laureldale
Lawrence Park Township
Lawrence Township
Lebanon
Leetsdale
Leet Township
Lehighton
Lehigh Township (Northampton County) . . .
Lehman Township
Lemoyne
Lewisburg
Liberty
Ligonier Township
Limerick Township
Lincoln
Linesville
Lititz
Littlestown
9
3
9
2
I
149
151
28
18
5
3
13
4
7
7
47
5
5
9
8
2
7
7
1
2
11
1
1
12
6
2
1
139
10
126
25
21
7
15
3
5
3
12
1
4
6
1
7
40
7
5
5
8
1
7
1
7
6
1
7
2
9
1
2
1
10
2
6
PENNSYLVANIA— Continued
Lock Haven
Locust Township
Logan Township
Lower Allen Township
Lower Burrell
Lower Gwynedd Township
Lower Heidelberg Township
Lower Makefield Township
Lower Merion 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 Yoder Township
Luzerne
Luzerne Township
Lykens
Macungie
Mahoning Township (Carbon County)
Mahoning Township (Montour County) . . .
Manheim
Manheim Township
Manor
Marcus Hook
Marietta
Marlborough Township
Marple Township
Mars
Martinsburg
Marysville
Masontown
Malamoras
Mayfield
McAdoo
McCandless
McConnellsburg
McDonald
McKeesport
McSherrystown
Meadville
Mechanicsburg
Mechanicsville
Media
Mercer
Mercersburg
Meyersdale
Mid-Cumberland Valley Regional
Middlesex Township (Butler County)
Middlesex Township (Cumberland County)
Middletown
Middletown Township
Midland
Mifflin County Regional
Mifflin Town
Milford
Millbourne
Millcreek Township
Millersburg
Millersville
Milton
Minersville
Mohnton
Monessen
Monongahela
Monroeville
Montgomery
Montgomery Township
Montoursville
Moon Township
Moore Township
Moosic
341
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994— Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANIA— Continued
Morrisville
Morton
Mountaintop Regional
Mount Holly Springs
Mount Jewett
Mount Joy
Mount Joy Township
Mount Lebanon
Mount Oliver
Mount Pleasant
Mount Union
Muhlenberg Township
Munhall
Murrysville
Myerstown
Nanticoke
Nanty Glo
Narberth
Nazareth Area
Neshannock Township
Nesquehoning
Nether Providence Township
Neville Township
Newberry Township
New Brighton
New Britain
New Britain Township
New Castle
New Cumberland
New Eagle
New Hanover Township
New Holland
New Hope
New Kensington
New Oxford
Newport
New Sewickley Township
Newtown
Newtown Township (Bucks County)
Newtown Township (Delaware County)
Newville
New Wilmington
Norristown
Northampton
Northampton Township
North Belle Vernon
North Bethlehem Township
North Braddock
North Catasaqua
North Charleroi
North Cornwall Township
North Coventry Township
North East
Northeastern Berks Regional
Northeastern 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 Versailles Township
North Wales
Norwegian Township
Norwood
Oakdale
Oakmont
O'Hara Township
Ohio Township
Ohioville
Oil City
Old Forge
PENNSYLVANIA— Continued
Old Lycoming Township
Orangeville
Orwigsburg
Oxford
Paint Township
Palmerton
Palmer Township
Palmyra
Parkside
Parks Township
Patterson
Patton
Patton Township
Paxtang
Pen Argyl
Penbrook
Penn Hills
Pennridge Regional
Penn Township (Butler County)
Penn Township (Lancaster County)
Penn Township (Westmoreland County) . . .
Penn Township (York County)
Pequea Township
Perkasie
Perryopolis
Peters Township
Philadelphia
Philipsburg
Phoenixville
Pine Grove
Pine Township
Pitcairn
Pittsburgh
Pittston
Plainfield Township
Plains Township
Pleasant Hills
Plumstead Township
Plymouth
Plymouth Township
Pocono Mountain Regional
Pocono Township
Point Township
Portage
Port Allegany
Port Carbon
Pottstown
Pottsville
Prospect Park
Punxsutawney
Pymatunmg Township
Quakertown
Radnor Township
Ralpho Township
Rankin
Reading
Red Lion
Redstone Township
Reynoldsville
Richland
Richland Township (Allegheny County) . . .
Richland Township (Cambria County)
Ridgway
Ridley Township
Riverside
Roaring Spring
Robesonia
Robeson Township
Robinson Township
Rochester
Rochester Township
Rosslyn Farms
Ross Township
Rostraver Township
Royersford
8
1
4
7
2
9
23
7
3
1
4
2
13
3
3
6
64
16
5
5
20
19
3
12
2
20
6.977
2
22
3
13
4
1.197
9
6
10
19
10
4
42
16
9
4
3
50
30
8
14
4
15
53
4
1
230
9
2
4
7
2
8
1
19
4
7
2
1
1
4
2
12
1
3
3
6
55
9
14
2
4
1
5
18
2
18
1
3
11
1
2
18
2
6,101
876
2
20
2
3
12
1
4
1.172
25
7
2
6
10
15
4
9
1
4
35
7
15
1
9
4
7
3
3
41
9
29
1
8
8
6
4
13
2
43
10
4
1
200
30
8
1
2
2
1
10
1
19
1
6
34
9
3
1
2
3
16
5
9
1
2
?
342
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 199-J — Continued
City
Tola I
police
employees
Total
officers
Toial
civilians
Cit)
Toial
police
;mploye<
PENNSYLVANIA— Continued
Rye Township
Si. Clan
Si Marys
Salisbury Township
Sandy Lake
Sandy Township
Saxonburg
Saxlon
Sayrc
Schuylkill Haven
Schuylkill Township
Scoitsdale
Scotl Township (Allegheny County)
Scranion
Selinsgrove
Seven Springs
Sewickley
Shaler Township
Shamokin
Shamokin Dam
Sharon
Sharon Hill
Sharpsburg
Sharpsville
Shenandoah
Shenango Township (Lawrence County)
Shenango Township (Mercer Counly)
Shillington
Shippmgporl
Shiremanstown
Silver Springs Township
Sinking Spring
Slalinglon
Slippery Rock
Solebury Township
Somerset
Souderton
Soulh Ahmgion Township ,
South Beaver Township
Soulh Centre Township
South Coatesville
Southern
South Fayette Township
South Fork
Soulh Greensburg
Soulh Lebanon Township
South Londonderry Township
Soulh Park Township
Soulh Waverly
S W Mercer County Regional
South Whitehall Township
South Williamsport
Spring City
Sprmgdale
Springeitbury Township
Springfield Township
Springfield Township (Bucks County)
Springfield Township (Delaware Counly). . .
Springfield Township (Montgomery County)
Spring Garden Township
Spring Township (Berks Counly)
Spring Township (Centre Counly)
Slale College
Steelton
Stoneycreck Township
Slowe Township
Strasburg
Siroudsburg
Stroud Township
Sugarcreek
Sugarloal Township
Summerhill Township
Summil Hill
Sunhury
Susquehanna Township (Dauphin County) .
7
16
140
PENNSYLVANIA— Continued
Swai thmore
Swatara Township
Swissvalc
Swoyersville
Tamaqua
Taienium
Taylor
Temple
Throop
Tinicum Township (Delaware County)
Titusville
Towamencin Township
Tbwanda
TratYord
Trainer
TredytYrin Township
h"\
Tunkhannock
Tunkhannock Township
Turtle Creek
Tyrone
Union City
Union Township (Mifflin County)
Union Township ( Washington Counly)
Upland
Upper Allen Township
Upper Chichester Township
I ippei Darby Township
Upper Dublin Township
Upper Gwynedd Township
Upper Makcfield Township
Upper Merion Township
Upper Moreland Township
Upper Mount Beihel Township
Upper Nazareth Township
Upper Perkiomen
Upper Pottsgrove Township
Upper Providence Township (Delaware Counly)
Upper Providence Township (Montgomery County).
Upper St. Clair Township
Upper Saucon Township
Upper Southampton Township
Upper Uwchlan Township
Upper Yoder Township
Uwchlan Township
Valley Township
Vandergrifi
Vanpoit Township
Vernon Township
Versailles
Walnutport
Warminster Township
Warren
Warrington Township
Warwick Township (Bucks County)
Washington
Washington Township (Franklin G^inly)
Washington Township (Northampton Counly)
Washington Township (Westmoreland Counly)
Watsontown
Waynesboro
Waynesburg
Weaiherly
WelKboro
Wernersville
Wesleyville
Wcsi Brandy wine Township
West Chester
West Deer Township
West Donegal Township
West Earl Township
Westfall Township
West Goshen Township
West Grove
West Hempfield Township
10
I ,
5
I
6
i l
i i
19
i
4
58
i
4
l
6
2
14
22
104
41
17
7
71
47
5
2
7
4
13
12
33
14
24
7
5
21
6
8
i
4
3
49
15
18
10
30
10
2
3
4
16
7
3
6
2
2
6
54
10
6
4
4
32
8
4
9
7
5
3
6
II
13
17
4
4
50
3
4
I
13
20
94
35
In
7
53
38
5
1 I
26
21
6
3
4
i
3
44
13
16
9
29
9
4
15
7
3
6
36
9
6
4
4
3
14
343
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
imployees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANIA— Continued
Wesl Hills Regional
West Homestead
West Lampeter Township
West Manchester Township
West Manheim Township
West May field.
West Mifflin
West Norriton Township
West Pulsion
West Pottsgrove Township
West Reading
Westtown Township
West View
Wesl Whiteland Township
West Wyoming
Wesl York
Whitehall
Whitehall Township
White Haven
Whilemarsh Townshtp
White Oak
Whitpain Township
Wiconisco Township
Wilkes-Barre
Wilkes Barre Township
Wilkinsburg
Wilkins Township
Williamsburg
Williamspori
Willistown Township
Wilmerding
Wilson
Windher
Wind Gap
Windsor Township
Wrightsville
Wyomissmg
Wyomissing Hills
Yardley
Yeadon
York
York Springs • Latimore township
York Township
Youngsville
Zehenople
RHODE ISLAND
Barrington
Bristol
Burrillville, .
( 'cnir.il Falls
Charlestown
Coventry
Cranston
Cumberland
Easi Greenwich. .
Easi Providence .
Foster
Glocester
Hopkinton
Jamestou n
Johnston
Lincoln
Little Compton
Middleiown
Narragansetl
Newport
New Shoreham
North Kingstown
North Providence
North Smilhficld
Pawtucket
Portsmouth
RHODE ISLAND— Continued
Providence
Richmond
Scituaie
Smithfield
South Kingstown
Tiverton
Warren
Wai w ick
Westerly
Wesl ( ireenwich
Wesl W.uuKk
Wbonsocket
SOUTH CAROLINA
:i
45
57
30
27
222
46
12
62
I II
\bbeville
Aiken
Allendale
■\m1ctsim
Andrews.
\\ m ii
Bamberg
Barnwell
Batesburg-Lc
Beau fori
Be I ton
Bennettsville
Bishopville
Blacksburg.
Blackville
Bluftlon .
Bonneau
Briarcliffe Acres
Biunson
Burnettown
Calhoun Falls . .
Camden
Campobello
Cayce
Central
Chapin
Charleston
Che. aw
Chesnee
Chestei
Chestei field
Clemson
Clinton
i
Clover
Columbia
Conwaj
Cowpens
Darlington
Denmark
Dillon
Due West . .
Dime. in
Easley
Edgefield
Edisto Beach
Ehrhardt
I Hi iree
Estill
Eutawville
Fairfax
Florence
Folk Beach
Forest Acres
Fort Law n
Fori Mill
Fountain Inn
Gallney
Gaston
28
32
14
307
41
7
450
5
15
16
43
22
:i
167
38
7
56
11)2
19
14
99
82
12
7
87
64
16
12
"
4
23
27
III
264
U
6
20
6
16
4
7
27
344
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Cily
Total
police
employees
Tolal
officers
Tolal
civilians
City
Total
police
employees
Total
officers
SOUTH CAROLINA— Continued
Georgetown
Goose Creek
Great Falls
Greenville
Greenwood
Greer
Hampton
Hanahan
Hardeeville
Harleyville
Hartsville
Hemingway
Holly Hill
Honea Path
Inman
Irmo
Isle of Palms
Iva
Jackson
Jamestown
Jefferson
Johnsonvilie
Johnston
Jonesville
Kershaw
Kingstree
Lake City
Lake View
Lamar
Lancaster
Landrum
Latta
Laurens
Lexington
Liberty
Loris
Lyman
Manning
Marion
Mauldin
Mayesville
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
Pendleton
Pickens
Pine Ridge
Pinewood
Port Royal
Prosperity
Ridgeland
Ridge Spring
Ridgeway
Rock Hill
St George
St Matthews
St. Stephens
Salley
44
41
5
193
60
43
9
29
14
3
38
8
9
15
6
17
24
6
4
2
4
9
8
1
10
19
29
7
3
46
7
12
30
20
11
12
6
17
32
34
1
5
8
6
19
91
26
133
28
13
3
7
3
58
237
65
6
78
4
16
4
2
14
4
7
3
2
110
7
10
4
1
34
32
4
161
52
32
8
21
10
3
34
4
5
3
5
4
11
4
6
16
1
17
7
5
1
4
1
4
1
5
4
8
1
5
5
16
3
23
6
3
4
1
4(1
6
7
6
6
25
5
18
2
7
4
7
5
5
1
16
1
25
7
28
1
6
3
2
3
5
6
17
2
65
26
21
03
30
25
12
2
6
3
48
10
69
68
49
16
2
4
68
10
3
1
11
5
3
1
7
-1
10
1
2
1
1
12
1
2
4
7
3
2
89
21
6
1
7
3
4
SOUTH CAROLINA— Continued
Saluda
Santee
Sellers
Seneca
Simpsonville
Society Hill
South Congaree
Spartanburg
Springdale
Sullivans Island
Summerlon
Summerville
Sumter
Surfside Beach
Tega Cay
Timmonsville
Travelers Rest
Turbeville
Union
Vance
Varnville
Wagener
Walhalla
Walterboro
Ware Shoals
Wellford
West Columbia
Westminster
West Pelzer
West Union
Whitmire
Williamston
Williston
Winnsboro
Woodruff
Yemassee
York
SOUTH DAKOTA
Aberdeen
Belle Fourche
Box Elder
Brookings
Burke
Canton
Deadwood
Eagle Butte
Hot Springs
Kadoka
Lead
Madison
Miller
Mitchell
Rapid City
Salem
Sioux Falls
Spearfish
Sturgis ... .
Vermillion
Watertown
Winner
Yankton
TENNESSEE
Adamsville
Alcoa
Ardmore
Ashland City
Athens
Bartlelt
Benton
Bolivar
Bradford
1
29
36
4
4
147
8
8
7
39
105
15
12
47
7
7
30
1
4
12
3
7
1
7
13
4
30
117
2
170
17
II
22
31
II
40
9
5
1
23
27
4
3
126
7
6
5
38
74
10
8
5
II
1
33
1
3
3
II
22
8
5
34
10
3
1
5
19
7
18
10
3
17
39
7
6
25
1
4
10
3
6
1
6
10
4
22
95
2
145
11
10
16
25
7
6
20
5
8
28
47
4
18
345
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tola!
police
employees
Total
officers
46
36
68
57
27
25
4
4
14
10
7
7
161
144
79
65
7
7
48
33
4
3
74
65
76
61
2
1
6
4
25
21
2
2
4
4
13
12
5
5
64
51
10
10
4
4
19
15
11
10
28
22
68
55
51
41
39
32
68
51
4
4
3
3
42
40
6
6
11
7
12
12
68
51
10
10
2
2
31
25
14
10
2
2
230
169
8
8
13
12
16
12
4
4
131
92
407
337
15
12
27
19
10
7
26
19
44
31
14
14
27
23
18
13
25
24
29
23
40
37
3
3
17
13
39
32
1,778
1.382
20
16
10
5
33
26
4
2
6
5
61
58
16
11
11
10
Total
civilians
City
Total
police
employees
Total
officers
TENNESSEE— Continued
Brentwood
Bristol
Brownsville
Bruceton
Centerville
Church Hill
Clarksville
Cleveland
Collegedale
Collierville
Collinwood
Columbia
Cookeville
Cornersville
Cowan
Crossville
Cumberland Gap
Dandridge
Dayton
Dyer
Dyersburg
Elkton
Erwin
Estill Springs
Etowah
Fairview
Fayetteville
Franklin
Friendsville
Gallatin
Gates
Gatlinburg
Germantown
Gleason
Grand Junction
Greeneville
Halls
Hartsville
Henderson
Hendersonville
Hohenwald
Hollow Rock
Humboldt
Huntingdon
Jacksboro
Jackson
Jasper
Jefferson City
Jonesborough
Kenton
Kingsport
Knoxville
Lafayette
La Follette
Lake City
La Vergne
Lawrenceburg
Lenoir City
Lexington
Livingston
Manchester
Martin
Maryville
McEwen
McKenzie
McMinnville
Memphis
Milan
Millersville
Millington
Minor Hill
Monterey
Morristown
Mount Juliet
Mount Pleasant
4
7
396
4
5
7
2
1
3
5
1
TENNESSEE — Continued
Murfreesboro
Nashville
Newbern
New Johnsonville
Oak Ridge
Obion
Oliver Springs
Paris
Pigeon Forge
Portland
Pulaski
Red Bank
Red Boiling Springs
Ripley
Rockwood
Rutherford
Savannah
Sevierville
Sewanee
Sharon
Shelbyville
Signal Mountain
Smyrna
Soddy-Daisy
Somervilie
South Carthage
South Fulton
South Pittsburg
Sparta
Spring City
Springfield
Spring Hill
Sweetwater
Tazewell
Town of Decaturville
Tracy City
Trenton
Trimble
Tullahoma
Union City
Waverly
White House
Winchester
Woodbury
TEXAS
Abernathy
Abilene
Addison
Alamo
Alamo Heights
Alice
Allen
Alpine
Alto
Alvarado
Alvin
Amarillo
Andrews
Angleton
Anson
Anthony
Aransas Pass
Arlington
Arp
Athens
Atlanta
Austin
Azle
Balch Springs
Bajcones Heights
Ballinger
Bangs
Bastrop
129
1,510
15
4
58
3
14
27
43
20
30
21
4
25
16
4
21
38
12
3
37
16
47
20
II
4
8
12
20
6
43
7
16
10
1
2
21
3
35
36
14
17
21
9
3
222
66
22
27
44
41
13
2
9
47
329
16
40
5
8
22
513
2
30
17
1,281
26
38
24
9
2
II
103
1.111
9
4
49
3
14
23
33
14
25
19
4
21
16
4
14
30
8
3
31
14
33
16
9
4
6
8
15
6
32
7
15
6
1
I
15
3
30
28
9
9
16
7
3
165
48
16
19
33
29
8
2
5
32
253
14
31
4
7
17
400
2
23
12
921
20
26
18
5
2
9
346
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Tolal
officers
Tolal
civilians
Cily
Total
police
employees
Total
officers
Total
civilians
11
6
5
18
13
5
21
15
6
11
7
4
10
1
9
1
5
1
6
1
16
10
6
3,435
2.777
658
9
7
2
17
11
6
15
10
5
57
45
12
5
4
1
3
3
77
57
20
51
40
11
134
105
29
11
6
5
71
53
18
II
6
5
14
10
4
24
19
5
6
5
1
9
7
2
27
18
9
8
6
2
35
27
8
76
51
25
6
5
1
69
55
14
6
5
1
4
2
2
10
8
2
7
1
6
1
4
1
4
78
57
21
12
10
2
30
22
8
11
7
4
15
10
5
1.206
967
239
17
12
5
32
26
6
95
66
29
17
12
5
6
6
6
6
10
9
1
81
67
14
5
1
5
1
8
1
8
12
1
4
9
1
48
35
13
4
4
26
17
9
12
8
4
26
17
9
1.373
1.060
313
6
3
3
18
16
2
33
26
7
8
4
4
45
31
14
10
6
4
22
15
7
39
31
8
21
16
5
193
160
33
346
242
104
16
10
6
38
25
13
TEXAS— Continued
47
5
144
331
94
26
54
18
10
30
39
1
7
3
64
9
3
4
16
20
16
12
II
15
41
18
12
14
23
242
41
114
19
46
10
2
9
14
2
13
17
191
19
21
43
24
3
18
12
8
II
53
25
6
27
15
1
14
112
29
13
8
6
4
19
76
19
32
65
9
526
9
52
37
5
112
255
68
20
40
13
8
20
31
1
6
3
42
5
3
4
14
14
20
2
12
6
7
10
28
13
7
9
17
181
28
95
14
34
9
9
2
8
15
134
12
17
35
15
3
12
7
7
6
39
17
5
19
II
1
9
77
22
7
7
6
4
14
61
18
24
49
8
384
6
41
5
15
1
8
16
1
142
3
II
TEXAS— Continued
Crane
Crockett
Crowley
Crystal City
Cuero
Cuney
Daingerfield
Dalhart
Dallas
Dalworthington Gardens
Dayton
Decatur
Deer Park
De Kalb
De Leon
Del Rio
Denison
Denton
Denver City
DeSoto
Devme
Diboll
Dickinson
Dilley
Dimmitt
Donna
Dublin
Dumas
Duncanville
Eagle Lake
Eagle Pass
Early
Earth
Eastland
Edcouch
Eden
Edgewood
Edmburg
Edna
El Campo
Electra
Elgin
El Paso
Elsa
Ennis
Euless
Everman
Fairfield
Fair Oaks Ranch
Falfurnas
Farmers Branch
Farmersville
Farwell
Ferris
Florence
Floresville
Flower Mound
Floydada
Forest Hill
Forney
Fort Stockton
Fort Worth
Frankston
Fredericksburg
Freeport
Freer
Fnendswood
Friona
Fnsco
Gainesville
Galena Park
Galveston
Garland
Gatesville
Georgetown
347
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
TEXAS — Continued
Giddings
Gilmer
Gladewater
Glenn Heights
Gonzales
Graham
Granbury
Grand Prairie
Grand Saline
Granite Shoals
Grapevine
Greenville
Groesbeck
Groves
Gruver
Gun Barrel City
Hale Center
Hallettsville
Haltom City
Hamlin
Harker Heights
Harlingen
Hawkins
Hearne
Heath
Hedwig Village
Heloles
Hemphill
Hempstead
Henderson
Hereford
Hewitt
Hico
Hidalgo
Highland Park
Highland Village
Hill Country Village
Hillsboro
Hitchcock
Holliday
Hollywood Park
Hondo
Hooks
Horizon City
Horseshoe Bay
Houston
Hubbard
Humble
Huntington
Huntsville
Hurst
Hutchins
Hulto
Idalou
Ingleside
Ingram
Iowa Colony
Iowa Park
Irving
Itasca
Jacinto City
Jacksboro
Jacksonville
Jamaica Beach
Jasper
Jefferson
Jersey Village
Johnson City
Joshua
Jourdanton
Junction
Karnes City
Katy
Kaufman
Keene
13
9
20
12
13
16
20
250
6
1
80
63
5
16
5
64
8
35
118
4
21
6
21
5
3
10
32
32
22
3
32
64
18
16
24
21
2
6
14
4
5
7
>,992
3
57
4
47
89
14
1
3
16
4
9
14
372
2
21
6
32
6
23
6
20
2
9
6
4
6
23
20
II
14
7
9
14
17
169
5
1
53
48
4
15
2
9
3
4
49
4
27
95
4
14
6
17
5
3
9
26
25
15
3
27
51
12
16
18
13
12
4
5
6
4,935
3
45
4
34
59
10
1
3
II
4
5
10
268
2
15
5
23
5
16
5
13
2
9
6
4
5
18
14
7
1
2.057
4
4
104
TEXAS— Continued
Keller
Kemah
Kemp
Kennedale
Kermit
Kerrville
Kilgore
Killeen
Kingsville
Kirby
Kirbyville
Knox City
Kounlze
Kyle
Lacy-Lakeview
La Feria
Lago Vista
La Grange
La Joya
Lake Dallas
Lake Jackson
Lakeside
Lakeview
Lakeway Village
Lake Worth
La Marque
Lamesa
Lampasas
Lancaster
La Porte
Laredo
La Vernia
La Villa
Lavon
League City
Leander
Leon Valley
Levelland
Lewisville
Lexington
Liberty
Lmdale
Littlefield
Live Oak
Livingston
Llano
Lockhart
Lockney
Lone Star
Longview
Lorena
Los Fresnos
Lubbock
Lufkrn
Luling
Lumberton
Lytle
Madisonville
Malakoff
Manor
Mansfield
Manvel
Marble Falls
Marfa
Marhn
Marshall
Marshall Creek
Mart
Marlindale
Mathis
Mc Allen
McGregor
McKinney
Meadows
Memphis
32
9
4
17
14
52
35
167
60
15
3
2
5
4
15
II
14
7
12
14
47
24
31
23
16
45
72
292
2
3
5
65
10
33
26
118
2
19
10
17
26
17
7
14
2
3
177
4
13
349
81
15
12
5
8
5
6
39
5
19
4
14
56
I
4
2
12
267
12
50
II
3
21
6
4
12
9
40
28
129
44
12
3
2
4
4
10
7
13
13
18
24
16
II
35
51
242
5
48
5
25
19
78
2
12
6
10
19
10
6
14
2
3
131
3
8
306
61
8
10
5
7
5
5
27
5
12
2
10
43
I
4
2
7
173
8
37
II
348
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Ciiy
Total
police
employees
Total
officers
Total
police
employees
Total
officers
TEXAS— Continued
Mercedes
Meridian
Merkel
Mesquite
Mexia
Midland
Midlothian
Mineola
Mineral Wells
Mission
Missouri City
Monahans
Mont Belvieu
Morgans Point Resort
Mount Pleasant
Muleshoe
Munday
Mustang Ridge
Nacogdoches
Naples
Nassau Bay
Navasota
Nederland
Needville
New Boston
New Braunfels
New Deal
Nocona
Nolanville
Norlhcrest
North Richland Hills
Oak Ridge North
Odessa
Olmos Park
Olney
Olton
Onalaska
Orange
Orange Grove
Ore City
Overton
Oyster Creek
Palacios
Palestine
Palmer
Pampa
Panhandle
Pantego
Paris
Parker
Pasadena
Pearland
Pearsall
Pecos
Pelican Bay
Perrytown
Pflugerville
Pharr
Pilot Point
Pinehurst
Pittsburg
Plainview
Piano
Pleasanton
Port Aransas
Port Arthur
Port Isabel
Portland
Port Lavaca
Port Neches
Poteet
Pottsboro
Premont
Pnmera
Princeton
31
1
■t
237
24
192
21
14
31
80
55
19
9
5
29
12
17
18
28
6
11
61
2
9
3
4
109
7
238
12
9
3
4
54
3
3
46
3
33
4
15
67
1
246
56
9
25
91
4
9
9
40
273
17
16
154
23
30
25
19
4
4
22
1
4
172
17
151
16
8
14
60
41
12
8
5
21
6
2
1
49
2
13
12
20
5
7
43
1
5
2
3
76
7
172
12
5
3
4
41
3
3
5
5
5
35
3
26
4
10
45
1
201
40
7
18
1
9
15
65
4
5
8
33
205
13
10
119
16
22
19
16
4
4
5
4
4
TEXAS— Continued
Quanah
Quinlan
Quitman
Ranger
Ransom Canyon
Raymondville
Red Oak
Refugio
Richardson
Richland Hills
Richmond
Richwood
Riesel
River Oaks
Roanoke
Robinson
Robstown
Rockdale
Rockport
Rockwall
Rollingwood
Roma
Roman Forest
Ropesville
Roscoe
Rosebud
Rose City
Rosenberg
Round Rock
Rowlett
Rn\sc City
Rusk
Sabinal
Sachse
Saginaw
St. Jo
San Angelo
San Angelo Park
San Antonio
San Augustine
San Benito
Sanger
San Juan
San Marcos
Sansom Park Village
Santa Anna
Sante Fe
Scherlz
Seabrook
Seadrift
Seagoville
Seagraves
Sealy
Seguin
Selma
Seminole
Seven Points
Seymour
Shallowater
Shamrock
Shavano Park
Shenandoah
Sherman
Silsbee
Sinton
Slalon
Smilhville
Snyder
Socorro
Somerset
Somerville
Sonora
Sour Lake
South Houston
Southlake
3
5
6
4
I
II
10
5
143
17
21
5
1
18
8
11
21
8
17
24
5
20
1
1
1
3
1
44
57
40
5
2.083
1.696
5
5
48
41
7
7
29
23
81
60
12
7
21
14
27
20
23
21
17
13
3
3
12
11
50
36
7
6
12
10
10
5
6
5
2
2
5
2
9
9
7
7
75
56
19
14
10
9
14
8
13
7
18
16
')
9
2
2
4
4
7
5
3
i
39
31
32
23
349
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 199^ — Continued
City
Tola]
police
imployee
Total
c|| iters
Total
civilians
City
inl.il
polite
employee
TEXAS— Continued
South Padre Island
Southside Plate
Spearman
Springiown
Spring Valley
Spur
Stafford
Stamford
Stanton
Stephenville
Stratford
Sugar Land
Sulphur Springs
Sunset Valley
Surfside Beach
Sween)
Sweetwatei
Tail
Tahoka
Taluni
Taylor
Teague .
Temple,
lentil
Terrell Hills ,
Texarkana
Texas City
The Colon)
Tombal!
Tool . . .
Trinity
Trophy Club
Troup
Iulia
Tye
Tylei
I Iniversal City
University. Park
Uvalde
Van
Vernon
Victoria
Vidoi
Village
Village ol Junes Creek
Waco
Wake Village
Waller
Wallis
Watauga
Waxahachie
Weatherford
Webster
v^imar
Weslaco
West
Wesi Columbia
West Lake Hills
West Orange
Westover Hills
Wesi Tawakoni
West University Plaee
Westworth
Wharton
Whilehunse
While Oak
\\ hitesboro
White Settlement
Whitnej
Wichila Falls.
Willow Park
Wills Point
Wilmer
Windcrest
Winnsboro
TEXAS — Continued
41
4
6
26
5
4
5
22
7
116
4(1
16
89
86
33
2')
4
9
7
4
12
2
209
28
37
22
4
28
1 35
27
36
4
272
5
8
3
41
47
4')
44
5
53
4
12
17
8
13
5
28
8
3(1
10
15
I I
56
6
254
3
8
13
17
6
93
29
16
SO
73
24
24
4
5
6
4
7
155
23
32
17
4
22
100
20
30
4
202
5
7
3
31
37
34
32
5
41
4
8
12
7
12
3
21
4
21
8
II
7
27
5
173
3
7
K
Winters
Wolfforth
Woodvillc
Woodway
Wylie
Yoakum
Yi rktown
Alpine
Alia
Aiiu-i ican Fork
Blanding
Bounlilul
Brian Head
Brigham City
( cdai ( ii\
Centerville
Clearfield
Clinton
Easl ( larbon .
Ephraim
1 aiininglon
( irantsx ille
Gunnison
II. an -.Mile
Hebei City
Hildalc
llin ik .Hie
Kanab
kassulle
I ay
I.ehi
Logan
Maplcton
Midvale
Mmeisville
Moab
Monlicello
Moroni
Mount Pleasant
Murray
Naples
Nephi
North Ogdcn
I sail Lake
Ogden
Oreni
Park tils
Parowan
Payson
Perry
Pleasant ' irovc
Pleasant \ icv.
Price
Provo .
Richfield
Rivcrdalc
Roosevelt .
Roj
si George
S.ili-m
S.ili, i.i
Sail I ake City
S.i, i, Is
Saiil.Kjiim
South Jordan
s,„ ,il, OgJen
South Sail Lake
Spanish I oik
Springvillc
Sunsel
Syracuse
Tooele
3
-
4
14
i.
■
57
7
13
HI
121
13
I
II
IS
120
13
17
HI
43
Oil
I
14
24
47
16
19
I
I',
2(
6
I
5
7
4
12
4S
23
I
II
i
I
4
II
9
105
67
19
-)
I I
I
15
4
15
S2
II
15
9
24
45
4
3
361
S3
4
12
19
35
14
14
350
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
UTAH— Continued
Tremonton
Vernal
Washington Terrace
Wellington
Wendover
West Bountiful
West Jordan
West Valley
Willard
Woods Cross
VERMONT
Barre
Barre Town
Bellows Falls
Bennington
Brandon
Brattleboro
Bristol
Burlington
Castleton
Chester
Colchester
Dover
Essex
Fair Haven
Hardwick
Ludlow
Manchester
Milton
Monlpelier
Morristown
Newport
Northfield
Norwich
Randolph
Richmond
Rutland
St. Johnsbury
Shelburne
South Burlington
Springfield
Stowe
Swanton
Vergennes
Vernon
Waterbury
Wcathersfield
Wilhston
Wilmington
Windsor
Winhall
Winooski
Woodstock
VIRGINIA
Abingdon
Alexandria
AltaVista
Amherst
Appalachia
Ashland
Bedford
Berryville
Big Stone Gap .
Blacksburg
Blackstone
Bluefield
Bowling Green .
Boykins
Bridgewater. . . .
17
13
2
5
5
62
156
21
7
12
30
6
40
3
114
2
4
27
6
31
2
7
8
13
12
21
7
12
3
4
4
4
45
16
15
33
20
13
4
4
4
2
1
4
7
10
4
15
6
18
374
15
4
7
23
25
8
20
66
16
15
1
1
6
6
14
11
2
4
5
54
128
2
6
16
261
11
4
6
20
19
7
14
51
11
II
1
1
6
2
113
4
VIRGINIA— Continued
Bristol
Brookneal
Buena Vista
Burkeville
Cape Charles
Cedar Bluff
Charlottesville
Chase City
Chatham
Chesapeake
Chilhowie
Chincoteague
Christiansburg
Clarksville
Clifton Forge
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 Springs .
Glen Lyn .....
Gordonsville . .
Gretna
Grottoes
Grundy
Halifax
Hampton
Harrisonburg . .
Haysi
Herndon
Hillsville
Honaker
Hopewell
Hurt
Independence .
Iron Gate
Jonesville
Kenbndge ....
Kilmarnock . . .
La Crosse
Lawrenceville .
Lebanon
Leesburg
Lexington
Louisa
Luray
Lynchburg ....
Manassas
Manassas Park.
Manon
Martinsville . . .
McKenney
Middleburg . . .
60
3
16
3
4
2
128
II
4
367
6
12
39
9
13
2
8
12
55
3
21
5
32
2
133
4
8
11
2
9
24
2
73
34
27
32
79
1
39
28
2
2
1
5
2
3
6
4
308
61
1
48
6
3
53
1
3
5
4
1
5
8
39
18
3
14
197
80
19
23
58
1
4
44
3
12
3
4
2
100
7
4
290
6
8
31
6
10
2
7
8
41
1
15
5
23
2
115
3
7
9
2
5
17
2
58
24
18
23
57
1
30
2
1
5
2
3
6
4
229
47
1
37
6
3
41
3
2
I
3
5
4
I
5
7
35
13
3
13
148
61
12
19
52
1
3
351
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
VIRGINIA— Continued
Middletown
Mount Jackson
Narrows
New Market
Newport News
Norfolk
Norton
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
St. Paul
Salem
Sallville
Shenandoah
Smithfield
South Boston
South Hill
Stanley
Staunton
Stephens City
Strasburg
Suffolk
Tappahannock
Tazewell
Victoria
Vienna
Vinton
Virginia Beach
Warrenton
Warsaw
Waverly
Waynesboro
Weber City
Williamsburg
Winchester
Wise
Woodstock
Wytheville
WASHINGTON
Aberdeen
Airway Heights
Algona
Anacortes
Arlington
Auburn
Bainbridge Island
Battle Ground
Bellevue
Bellingham
Black Diamond
Blaine
Bonney Lake
Bothell
1
3
6
3
448
761
19
4
1
13
3
6
1
10
141
3
21
278
4
35
7
3
34
1
21
742
308
12
1
4
79
5
3
16
23
21
3
62
2
II
135
7
12
4
49
24
892
24
2
9
50
3
41
68
12
12
37
48
7
7
33
10
91
18
10
246
146
6
14
21
49
3
6
3
337
111
663
98
14
5
4
1
n
3
6
1
in
95
46
3
16
5
209
69
4
26
9
7
3
26
1
8
16
5
655
87
255
53
17
1
4
59
20
5
3
10
6
19
4
16
5
3
45
17
2
10
1
103
32
7
10
2
4
39
10
17
7
653
239
18
6
2
5
4
46
4
3
36
6
6
18
9
67
16
9
158
92
5
12
14
34
WASHINGTON— Continued
Bremerton
Brewster
Brier
Buckley
Burlington
Camas
Carnation
Castle Rock
Cenlralia
Chehahs
Chelan
Cheney
Chewelah
Clarkslon
Cle Elum
Clyde Hill
Colfax
College Place
Colville
Connell
Cosmopohs
Coulee Dam
Davenport
Dayton
Des Moines
Duvall
East Wenatchee
Eatonville
Edmonds
Ellensburg
Elma
Elmer City
Enumclaw
Ephrata
Everett
Ferndale
Fife
Fircrest
Forks
Gig Harbor
Goldendale
Grand Coulee ....
Grandview
Hoquiam
Issaquah
Kalanu
Kelso
Kennewick
Kent
Kettle Falls
Kirkland
La Center
Lacey
La Conner
Lake Forest Park
Lake Stevens
Long Beach
Longview
Lummi Tribal
Lynden
Lynnwood
Marysville
McCleary
Medical Lake
Medina
Mercer Island ....
Mill Creek
Milton
Monroe
Montesano
Morton
Moses Lake
Mossyrock
Mountlake Terrace
Mount Vernon
75
9
8
13
25
18
6
5
29
22
9
14
6
14
7
10
5
12
10
7
6
4
2
5
36
7
12
5
54
26
7
1
27
18
179
13
24
10
13
11
8
3
19
23
29
5
31
82
134
5
74
4
42
5
16
5
7
56
23
13
58
40
4
8
8
41
19
10
20
9
4
32
2
35
41
6
8
17
14
5
4
24
19
7
12
5
12
6
9
5
8
9
6
5
4
2
4
27
5
10
5
38
19
6
1
16
11
144
I I
15
8
6
9
6
3
14
18
19
5
27
66
86
5
55
4
35
4
II
5
6
51
17
10
48
24
4
7
7
31
15
9
17
7
3
22
2
29
34
352
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Cily
Tolal
police
employees
Tolal
officers
Tolal
civilians
City
Tolal
police
employees
Total
officers
WASHINGTON— Continued
Mukilleo
Napavine
Newport
Normandy Park
Oak Harbor
Ocean Shores .
Odessa
Olympia
Omak
Oroville
Othello
Pacific
Palouse
Pasco
Pe Ell
Pomeroy
Port Angeles
Port Orchard
Port Townsend
Poulsbo
Prosser
Pullman
Puyallup
Quincy
Rainier
Raymond
Reardan
Redmond
Renton
Republic
Richland
Ridgefield
Rilzville
Ruston
Seattle
Sedro Woolley
Selah
Sequim
Shelton
Snohomish
Snoqualmie
Soap Lake
South Bend
Spokane
Sprague
Slanwood
Steilacoom
Sultan
Sumner
Sunnyside
Swinomish Tribal
Tacoma
Tekoa
Tenino
Toledo
Tonaskel
Toppenish
Tukwila
Tumwaler
Twisp
Union Gap .
Vader
Vancouver ....
Waiisburg
Walla Walla
Wapato
Washougal
Wenatchee ....
Westport
Wesi Richland.
While Salmon
Wilbur
Winlock
Winthrop
Woodland
WASHINGTON— Continued
23
3
4
19
37
11
3
St
II
9
14
9
3
53
2
3
50
13
i:
16
14
33
63
10
4
7
1
78
107
1.759
18
13
13
30
19
7
4
5
377
1
10
II
5
20
29
9
408
73
24
4
19
1
119
2
59
19
9
50
9
II
10
17
16
6
4
4
281
1
8
10
4
12
21
8
356
14
1
100
2
38
13
8
36
7
10
4
495
7
3
13
Yakima .
Yelm . . .
Zillah . .
WEST VIRGINIA
Anmoore
Ansted
Barboursville
Berkley
Belington
Belle
Benwood
Bethlehem
Bluefield
Bridgeport
Buckhannon
Cameron
Cedai Grove
Ceredo
Chapmanville
Charleston
Charles Town.
Chesapeake
Chester
Clarksburg
Clendenin
Danville
Delbarlon
Dunbar
Elkins
Fairmont
Fayettevdle
Follansbee
Fori Gay
Gauley Bndge
Glen Dale
Glenville
Grafton
Grantsville
Granville
Harpers Ferry-Bolivar.
Hanisville
Hinton
Huntington.
Hurricane
Kenova
Kermit
Keyser
Kimball
Kingwood
Lewisbunj
Logan
Lumberport
Mabscotl
Madison
Man
Mannington
Marlinton
Marmet
Martinsburg
Mason
Matewan
McMechen
Milton
Mitchell Heights
Monongah
Montgomery
Moorefield
Morgantown
Moundsville
Mount Hope .
Mullens
New Cumberland ....
New Haven
141
10
6
2
4
13
59
2
4
9
4
31
17
6
4
3
9
4
204
12
4
5
45
3
3
1
17
15
39
5
10
1
1
6
4
II
1
5
4
1
5
109
15
10
3
12
2
6
II
10
2
5
7
4
4
1
4
46
2
2
3
4
1
3
10
5
62
19
6
4
104
7
5
2
3
12
45
2
4
4
4
28
15
5
4
3
5
4
178
10
4
5
39
3
3
I
12
9
29
4
10
1
1
5
4
6
I
4
4
1
4
98
11
2
6
9
9
2
5
6
4
4
1
4
36
2
2
3
4
9
5
50
14
5
4
353
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Tolal
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
WEST VIRGINIA— Continued
New Martinsville
Nitro
North Folk
Nutter Fort
Oak Hill
Oceana
Paden City
Parkersburg
Parsons
Pennsboro
Petersburg
Philippi
Piedmont
Pineville
Poca
Point Pleasant
Pnnceton
Rainelle
Ranson
Ravenswood
Richwood
Ripley
Romney
Ronceverte
St. Albans
St. Marys
Salem
Shepherdstown
Shinnston
SistersviHe
Smithers
Sophia
South Charleston
Spencer
Star City
Stonewood
Summerville
Sutton
Vienna
War
Wayne
Weirton
Welch
Wellsburg
Weston
Westover
Wheeling
White Sulphur Springs
Whitesville
Williamson
Williamstown
WISCONSIN
Adams
Algoma
Altoona
Amery
Antigo
Appleton
Arcadia
Ashland
Ashwaubenon
Bangor
Baraboo
Barron
Bayfield
Bayside
Beaver Dam
Belleville
Beloit
Beloit Town
Berlin
Black Earth
Black River Falls
3
6
9
7
18
118
4
25
39
2
27
5
3
17
37
3
101
10
16
WISCONSIN— Continued
Bioomfield
Brillion
Brodhead
Brookfield
Brookfield Township
Brown Deer
Burlington
Burlington Town
Butler
Caledonia
Campbell Township
Cedarburg
Chenequa
Chetek
Chilton
Chippewa Falls
Clear Lake
Clinton
Clmtonville
Columbus
Combined Locks
Cornell
Crandon
Cross Plains
Cuba City
Cudahy
Darlington
De Forest
Delafield
Delavan
Delavan Town
De Pere
Dodgeville
Durand
Eagle River
East Troy
Eau Claire
Edgerton
Eleva
! I k ll. .Ml
Elm Grove
Elroy
Everest
Fitchburg
Fond Du Lac
Fort Atkinson
Fox Lake
Fox Point
Franklin
Germantown
Glendale
Grafton
Grand Chute
Green Bay
Greendale
Greenfield
Green Lake
Hales Corners
Halhe
Hartford
Hartland
Hayward
Hillsboro
Holmen
Honcon
Hudson
Hurley
Independence
Jackson
Janesville
Jefferson
Juneau
Kaukauna
Kenosha
Kewaskum
6
4
II
83
9
36
28
7
10
31
5
26
8
4
6
34
1
4
14
12
4
8
2
4
4
45
4
10
10
18
7
30
10
4
6
7
112
10
1
13
22
3
20
27
76
23
2
22
46
35
47
24
19
224
35
81
3
21
7
23
13
6
2
6
II
20
6
2
5
99
14
3
21
179
6
5
4
7
62
8
27
22
7
8
25
5
18
8
4
6
25
1
4
II
8
4
4
2
4
3
34
4
9
9
14
7
25
9
4
6
6
84
9
1
II
17
3
18
21
63
18
2
16
35
25
46
18
16
175
28
57
3
17
6
18
12
5
2
6
9
17
5
2
4
87
12
3
20
168
5
354
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
WISCONSIN— Continued
Kewaunee
Kiel
Kimberly
Kohler
La Crosse
Ladysmith
Lake Delton
Lake Geneva
Lake Mills
Lancaster
Little Chute
Lodi
Luxemburg
Madison
Manitowoc
Maple Bluff
Marinette
Markesan
Marshfield
Mauston
Mayville
Mazomanie
McFarland
Medford
Menasha
Menasha Town
Menomonee Falls
Menomonie
Mequon
Merrill
Middleton
Milton
Milwaukee
Minocqua
Mondovi
Monona
Monroe
Mosinee
Mount Horeb
Mount Pleasant
Mukwonago
Muskego
Neenah
Neillsville
New Berlin
New Glarus
New Holstein
New Lisbon
New London
New Richmond
North Fond du Lac
Oak Creek
Oconomowoc
Oconomowoc Town
Oconto
Oconto Falls
Omro
Onalaska
Oregon
Osceola
Oshkosh
Palmyra
Pardeeville
Park Falls
Peshtigo
Pewaukee
Pewaukee Township
Phillips
Platteville
Pleasant Prairie
Plover
Plymouth
Port Washington
Poynette
Prairie du Chien .
6
10
10
6
110
7
II
24
8
7
16
5
2
384
72
5
29
3
52
6
II
3
9
9
34
23
73
38
45
25
32
7
>.511
16
4
21
32
7
8
31
16
37
48
7
77
4
10
3
17
10
10
49
29
10
9
25
9
3
100
4
3
8
7
15
10
5
23
21
12
14
23
3
16
88
6
II)
17
7
6
14
4
2
324
62
5
23
3
38
6
9
3
8
8
29
19
54
26
37
21
26
7
2,055
10
4
18
25
6
7
23
II
28
40
6
60
4
6
3
17
9
456
6
WISCONSIN— Continued
Prescott
Princeton
Pulaski
Racine
Reedsburg
Rhinelander
Rice Lake
Richland Center
Ripon
River Falls
River Hills
Rome Town
Rothschild
St. Croix Falls
St. Francis
Sauk Prairie
Saukville
Shawano
Sheboygan
Sheboygan Falls
Shorewood
Shorewood Hills
Silver Lake
Slinger
Somerset
South Milwaukee
Sparta
Spooner
Spring Green
Stanley
Stevens Point
Stoughton
Strum
Sturgeon Bay
Slurtevant
Summit
Sun Prairie
Superior
Thiensvilte
Tomah
Tomahawk
Town of East Troy
Town of Madison
Twin Lakes
Two Rivers
Verona
Viroqua
Walworth
Washburn
Waterloo
Watertown
Waukesha
Waunakee
Waupaca
Waupun
Wausau
Wauwatosa
West Allis
West Bend
Westby
West Milwaukee
West Salem
Whilefish Bay
Whitehall
Whitewater
Williams Bay
Winneconne
Wisconsin Dells
Wisconsin Rapids
WYOMING
Alton
Basin
Buffalo
7
3
6
237
17
28
21
12
18
21
14
4
8
3
20
II
8
24
113
9
29
7
4
4
4
33
21
8
4
4
53
19
19
II
7
45
59
8
23
7
7
18
II
29
11
12
5
5
6
46
135
II
17
21
70
112
153
61
3
22
5
27
3
34
6
4
14
51
6
3
6
203
12
19
15
10
13
18
14
4
7
3
19
10
7
17
86
9
26
6
3
3
3
31
15
7
4
4
42
15
1
18
9
7
30
55
7
17
6
6
16
7
24
10
9
5
5
6
33
100
10
13
14
57
84
129
47
3
18
5
23
3
23
5
3
14
39
355
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1994 — Continued
Cily
Total
police
employees
Total
o Ulcers
Total
:iv Minns
City
Total
police
employees
Tula I
officers
Total
.ivilians
WYOMING— Continued
Casper
Cheyenne
Cody
Diamondville
Douglas
Encampment
Evanston ...
Evansville . - .
Gillette
Glenrock ....
Green River .
Greybutl
Guernsey ....
Hanna
Hulett
Jackson
Kemmerer . . .
Lander
Laramie
WYOMING— Continued
Lovell
Lusk
Lyman
Mills
Moorcroft, . . .
Newcastle . .
Pine Blutts
Powell
Rawlins
River ton
Rock Springs
Saratoga
Sheridan
Sundance
Thermopolis
Torrington
Upton
Wheatland
Wbrland
4
3
4
6
4
6
1
7
4
2
3
II
7
IM
II
21
10
36
24
4
6
27
1
17
K
6
13
6
III
II
1
356
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1994
University/College
Total
police
employees
Tolal
officer
Toial
civilians
University/College
Total
p.lllLC'
employees
Total
oil reels
Iblal
civilians
ALABAMA
CALIFORNIA— Continued
Santa Ros.i Junioi College
16
1(1
ft
Vlahama State University
25
23
2
Sonoma State University
211
12
S
Auburn University
Stale Center Community College
13
II
2
Main Campus
4h
24
3 ■>
University of California:
Montgomery
25
13
12
Berkeley
1 15
71
44
Jacksonville Stale University
19
15
4
Day is
Sll
4X
32
Livingston University
8
5
3
Hastings College ol 1 aw
III
5
5
IYoy State University
9
8
1
Irvine
33
27
6
University of Alabama:
Lawrence Livermorc Laboratory.
2(14
2
2112
Huntsville
15
in
5
Los Angeles.
69
53
Id
Tuscaloosa
41
)6
5
Riverside
25
17
8
University ol Monlevallo
1?
y
ft
San Diego
47
2ft
21
University *»i South Alabama
32
22
III
San Francisco Medical School
sir
23
27
Santa Barbara
26
25
15
I |
ALASKA
Santa Cm/
1 1
Wesi Vallej College
III
9
1
University of Alaska
Anchorage
17
1 1
6
( ol OR A DO
Fairbanks
13
III
l
Adams Suae College
4
4
ARIZONA
Arapahoe Community College
ft
5
1
Auraria Higher Education Center .
411
17
23
Arizona State University:
Colorado School ol Mines
o
7
2
51
34
17
Colorado Slate University
27
1')
8
West
16
8
8
Pike's Peak Community College
7
5
s
Arizona Western College
s
7
1
Red Rocks Community College
1 <
7
ft
Central Arizona College,
5
5
University of Colorado:
Northern Arizona University
21'
IS
1 1
Bouldet
74
33
41
Pima < Community College
311
23
7
Colorado Springs
7
5
i
University of Arizona.
56
41
15
Health Sciences
in
21
IX
Yavapai College
5
5
I niversity ol Northern Colorado
19
12
7
Universitj of Southern Colorado
in
3
7
ARKANSAS
CONNECTICUT
Arkansas Suite University
20
18
2
Henderson State University
9
8
1
Central Connecticut State Universitj
2ft
22
4
Southern Arkansas University
5
5
Eastern Connecticut Stale University
Id
12
4
University of Arkansas
Southern Connecticut State Universitj
24
20
4
1 ayetleville
2U
24
5
University of Connecticut
Little Rock
27
21
ft
\verj Pomi
5
5
Medical Science
4S
36
12
Health Center
22
17
5
Monticcllo
ft
5
1
Sums
57
47
10
Pine Blufl . .
IS
13
5
Western Connecticut Slate Universitj
23
IS
5
University of Central Arkansas
19
17
2
Yale University
ss
72
Id
CALIFORNIA
DELAWARE
Mien Hancock College
ft
4
-,
University of Delaware
69
41
28
Cabrillo Community College .
California State Polytechnic University:
FLORIDA
Pomona
2X
12
Id
San Luis Obispo
I1)
12
7
1 Ini id.i \LVM I'mwiMh
36
2s
II
California State University:
Florida Atlantic Universitj
3(1
24
ft
Bakersfield
14
9
5
Florida International Universitj
44
14
10
Chico
14
10
4
Floi id.i State Inn ersity
Dominguez Hills
19
III
•l
Panama City
3
:
1
Fresno
33
15
IN
Tallahassee
70
511
2n
Fullenon
29
13
Id
1 niversitj ol Central Floi ida
51
34
17
Ha) ward
17
12
5
1 niversitj of Florida
I3S
S2
5h
Long Beach
25
211
5
Universitj ol North Florida
31
1 1
0
Los Angeles
31
16
15
Llniversitj of South Florida
Northridge
43
18
25
St Petersburg.
15
12
3
Sacramento
19
12
7
Sarasota
17
1 1
4
San Bernardino
15
111
5
Tampa
hi
41
20
San Marcas .
7
5
2
University of Wesl Florida
24
21
8
Stanislaus
13
8
5
Contra Costa Community College
23
IS
5
GEORGIA
Foothill College
III
9
I
Humboldt Slate University
15
HI
Abraham Baldwin College . .
1 1
III
1
1 OS \neeles City College
ft
ft
Agnes Scotl College
1 !
III
3
Mann Community College
8
7
1
Albany Stale College
21
14
7
Pasadena Community College
19
9
III
Ai mstrong State t College
12
u
3
San Diego State University
36
25
13
\ri"rrsi.r College
Id
14
2
San Francisco Suite University
24
18
1 1
Berry College
15
12
1
San lose State University
37
22
15
Brunswick College
ft
5
1
San Jose/Evergreen Community College
14
8
(i
Clark Atlanta University
40
10
30
357
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1994 — Continued
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
GEORGIA— Continued
Clayton State College
Columbus College
Dalton College
Emory University
Georgia College
Georgia Institute of Technology
Georgia Southern University
Georgia Southwestern College
Georgia State University
Gordon College.
Kennesaw College
Medical College of Georgia
Mercer University
Middle Georgia College
North Georgia College
Reinhardt College
Savannah State College
Southern College of Technology
South Georgia College
University of Georgia
Valdosta State University
Wesleyan College
West Georgia College
ILLINOIS
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
Johet Junior College
Loyola University of Chicago
Morton College
Northeastern Illinois University
Northern Illinois University
Oakton Community College
Parkland College
Rock Valley College
Sangamon State University
Southern Illinois University:
Carbondale
Edwardsville
School of Medicine
South Suburban College
State Community College
Triton College
University of Illinois:
Chicago
Urbana
Waubonsee College
Western Illinois University
William Rainey Harper College
INDIANA
Ball State University
Indiana State University
Indiana University:
Bloomington
Gary ,
Indianapolis
New Albany
Purdue University
IOWA
Iowa State University
University of Iowa
University of Northern Iowa
KANSAS
Emporia State University
Fort Hays State University
12
2
11
2
6
36
14
10
6
38
13
29
8
6
1
60
6
3
2
19
6
45
21
23
5
6
2
7
2
2
14
17
12
4
7
65
12
22
12
5
1
17
15
V)
24
37
14
?
22
11
7
7
<x
30
8
26
23
3
52
43
9
14
10
4
M
34
20
9
7
2
«
37
6
KANSAS— Continued
Garden City Community College
Kansas Stale University. Manhattan
Pittsburg Slate University
University of Kansas:
Lawrence
Medical Center
Wichita State University
KENTUCKY
Eastern Kentucky University
Jefferson Community College
Kentucky State University
Morehead State University
Murray Stale University
Northern Kentucky University
University of Kentucky
University of Louisville
Western Kentucky University
LOUISIANA
Grambling Slate University
Louisiana State University:
Baton Rouge
Eunice
Medical Center
Louisiana Tech. University
McNeese State University
Northeast Louisiana University
Northwestern Stale University
Southeastern Louisiana University
Southern University and A&M College.
Baton Rouge
MAINE
University of Maine:
Farmington
Orono
University of Southern Maine
MARYLAND
Bowie Stale University
Coppin State University
Frostburg State University
Morgan Stale University
St. Mary's College
Salisbury State University
Towson State University
University of Baltimore
University of Maryland:
Baltimore City
Baltimore County
College Park
Eastern Shore
MASSACHUSETTS
Boston College
Boston University
Brandeis University
Emerson College
Framingham Slate College
Massachusetts Institute of Technology . .
North Adams State College
Northeastern University
University of Massachusetts:
Amherst
Harbor Campus, Boston
Worcester
Wenlworth Institute of Technology
20
15
11
10
20
15
44
32
11
2
18
17
46
33
44
11
113
59
30
20
83
69
15
13
358
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1994 — Continued
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
MICHIGAN
Central Michigan University
Delta College
Eastern Michigan University
Ferns State University
Grand Valley State University
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University . .
Northern Michigan University
Saginaw Valley Stale University
University of Michigan;
Ann Arbor
Flint
MINNESOTA
University of Minnesota:
Duluth
Twin Cities
MISSISSIPPI
Itawamba Community College
Jackson State University
Mississippi State University
University of Mississippi:
Medical Center
Oxford
MISSOURI
Lincoln University
University of Missouri
Columbia
St. Louis
Washington University
MONTANA
Montana Stale University
University of Montana
NEBRASKA
University of Nebraska:
Kearney
Lincoln
NEVADA
University of Nevada:
Las Vegas
Reno
NEW HAMPSHIRE
University of New Hampshire
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Kean College
Middlesex County College
Monmouth College
Monlclair State College
New Jersey Institute of Technology. . . .
Rowan College
Rutgers University:
Camden
Newark
New Brunswick
17
12
5
21
19
2
47
16
31
34
21
13
16
11
5
18
14
4
31
14
17
56
23
33
29
2
27
38
16
22
53
26
27
30
63
67
NEW JERSEY— Continued
Stockton State College
Trenton State College
University of Medicine and Dentistry:
Camden
Newark
Piscataway
William Paterson College
NEW MEXICO
Eastern New Mexico University
New Mexico Highlands University
New Mexico State University
University of New Mexico
Western New Mexico University
NEW YORK
Ithaca College
Rensselaer Polytechnic Institute
State University of New York:
Albany
Binghamton
Buffalo
Downstate Medical Center
Maritime College
Stony Brook
Upstate Medical Center
Slate University of New York Agricultural and
Technical College:
Alfred
Cobleskill
Delhi
Farmingdale
Morrisville
State University of New- York College:
Brockport
Buffalo
Canton
Cortland
Environmental Science and Forestry . .
Fredonia
Geneseo
New Paltz
Old Westbury
Oneonta
Optometry
Oswego
Pittsburgh
Potsdam
Purchase
Utica-Rome
NORTH CAROLINA
Appalachian State University
Beaufort County Community College
Campbell University
Davidson College
Duke University
East Carolina University
Elizabeth City State University
Fayelteville Slate University
Mars Hill College
North Carolina A&T State University,
Greensboro
North Carolina Central University. Durham . .
North Carolina School of the Arts
North Carolina State University. Raleigh
Pembroke State University
Queens College
University of North Carolina:
Asheville
Chapel Hill
Charlotte
Greensboro
Wilmington
Wake Forest University
23
21
19
130
39
32
23
I
15
10
138
45
11
24
6
49
39
S
54
13
10
II
55
29
40
27
25
8
7
6
5
26
19
44
38
5
4
34
15
19
17
39
32
40
25
62
55
13
22
12
8
99
59
57
2
17
12
11
10
13
11
21
19
13
12
22
18
34
28
11
10
18
16
13
10
16
15
18
16
23
21
20
18
18
17
4
1
24
21
18
14
14
11
22
18
16
12
359
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1994 — Continued
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
NORTH CAROLINA— Continued
Western Carolina University ,
Wins ton -Salem State University . . . .'
NORTH DAKOTA
University of North Dakota
OHIO
Bowling Green Slate University
Cleveland State University
Kent State University
Lakeland Community College
Marietta College
Miami University
Ohio University
University of Cincinnati
University of Toledo
Wnght Stale University
Youngstown State University
OKLAHOMA
Cameron University
Central Slate University
East Central University
Murray State College
Northeastern Oklahoma State University
Oklahoma State University:
Main Campus
Okmulgee
Southeastern Oklahoma State University ....
Tulsa Junior College
University of Oklahoma:
Health Science Center
Norman
PENNSYLVANIA
Beaver County Community College
Bloomsburg University
California University
Cheyney University
Clarion University
East Stroudsburg University
Edinboro University
Elizabeth town College
Indiana University
Kutztown University
Lehigh University
Lincoln University
Mansfield University
Millersville University
Moravian College
Pennsylvania State University:
Behrend College
Capital Campus
University Park
Shippensburg University
Slippery Rock University
University of Pittsburgh. Bradford
RHODE ISLAND
Brown University
University of Rhode Island
SOUTH CAROLINA
Clemson University
Denmark Technical College
Francis Marion University
Lander University
Medical University of South Carolina
South Carolina State University
The Citadel
Tndent Technical College
44
4
11
11
131
24
!3
19
17
10
27
7
28
10
6
3
4
28
9
27
6
4S
40
27
4
20
9
17
3
SOUTH CAROLINA— Continued
University of South Carolina:
Aiken
Coastal Carolina
Columbia
Spartanburg
Winthrop University
SOUTH DAKOTA
South Dakota State University
TENNESSEE
East Tennessee State University
Middle Tennessee State University
Tennessee Technological University
University of Tennessee:
Knoxville
Martin
Memphis
TEXAS
Alamo Community College
Alvin Community College
Amanllo College
Angelo State University
Austin College
Baylor University
Baylor University Medical Center
Central Texas College
College of the Mainland
Eastfield College
East Texas State University, Commerce
Hardin-Simmons University
Houston Baptist University
Houston Community College
Lamar University. Beaumont
Laredo Community College
McLennan Community College
Midwestern Stale University
North Lake College
Paris Junior College
Prame View A&M University
Rice University
Richland College
St. Mary's University
Southern Methodist University
South Plains College
Southwestern University
Southwest Texas State University
Stephen E Austin Stale University
Sul Ross State University
Tarleton State University
Texas A&M University:
College Station
Corpus Chnsti
Galveston
Kingsville
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas State Technical College:
Amarillo
Harlingen
Waco
Texas Tech. University:
Health Science Center.
Lubbock
Texas Woman's University
Trinity University
Tyler Junior College
University of Houston:
Central Campus
Clearlake
Downtown Campus
103
10
6
21
30
20
27
22
18
23
17
15
13
75
50
17
13
41
34
360
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1994 — Continued
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
Total
civilians
TEXAS— Continued
University of North Texas
University of Texas:
Arlington
Austin
Brownsville and Texas Southmost College
Dallas
El Paso
Health Science Center. San Antonio
Health Science Center, Tyler
Houston
Medical Branch
Pan American
Permian Basin
San Antonio
Southwest Medical School
Tyler
West Texas A&M University
UTAH
Brigham Young University
College of Eastern Utah
Salt Lake Community College
Southern Utah University
University of Utah
Utah Slate University
Utah Valley Stale College
Weber State University
VERMONT
University of Vermont
VIRGINIA
Chnstopher Newport College
Clinch Valley College
College of William and Mary
George Mason University
Hampton University
James Madison University
Longwood College
Mary Washington College
Norfolk State University
Northern Virginia Community College
Old Dominion University
Radford University
50
63
164
12
28
47
56
12
170
91
29
II
53
58
37
101
7
17
30
39
6
112
57
20
5
32
33
4
3
VIRGINIA— Continued
Thomas Nelson Community College . . .
University of Richmond
University of Virginia
Virginia Commonwealth University ....
Virginia Military Institute ,
Virginia Polytechnic Institute and State
University
Virginia State University
Virginia Western Community College . .
WASHINGTON
Central Washington University
Eastern Washington University
University of Washington
Washington State University
Western Washington University
WEST VIRGINIA
Concord College
Glenville State College
Marshall University
West Liberty State College
West Virginia State College
West Virginia Tech
West Virginia University
WISCONSIN
University of Wisconsin:
Eau Claire
Green Bay
La Crosse
Madison
Milwaukee
Oshkosh
Parkside
Platteville
Stout
Superior
Whitewater
WYOMING
Sheridan College
University of Wyoming
28
104
81
6
42
14
5
7
1
15
13
57
47
61
20
ft
29
13
10
4
5
1
1
22
3
4
18
1
9
9
3
5
8
8
40
57
30
6
13
1
6
3
7
7
2
5
1
11
4
361
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1994
County by Stale
Total
police
employees
Total
officers
Total
civilians
County bv State
Total
police
employees
Total
officers
Total
1 1\ ilians
Counts bv State
Total
police
employees
Total
officers
ALABAMA
Autauga
Baldwin
Blount
Calhoun
Colbert
Dale
Elmore
Etowah
Houston
Jefferson
Lauderdale
Lawrence
Limestone
Madison
Mobile
Montgomery
Morgan
Russell
Shelby
St. Clair
Tuscaloosa
ARIZONA
Maricopa
Mohave
Pima
Pinal
Yuma
ARKANSAS
Benton
Crawford
Crittenden
Faulkner
Jefferson
Lonoke
Miller
Pulaski
Saline
Sebastian
Washington
CALIFORNIA
Alameda
Butte
Contra Costa
El Dorado
Fresno
Kern
Los Angeles
Madera
Marin
Merced
Monterey
Napa
Orange
Placer
Riverside
Sacramento
San Bernardino
San Diego
San Joaquin
San Luis Obispo
San Mateo
Santa Barbara
Santa Clara
Santa Cruz
Shasta
Solano
Sonoma
27
32
30
15
36
81
no
588
37
26
41
166
■IKS
204
69
67
82
19
96
1 ,709
214
981
228
169
79
36
60
47
40
25
39
373
39
KM
72
1,196
114
813
271
482
464
6,283
70
272.
84
356
84
2,361
320
1,928
1,559
1,676
2.605
313
309
522
350
sis
131
200
339
278
56
18
23
18
12
17
42
37
465
::
20
25
89
140
171
40
24
57
16
452
87
365
118
51
721
84
575
139
322
314
4,274
53
188
64
269
67
1,536
206
1.090
1.113
912
1.587
162
228
394
249
414
103
144
81
195
1
58
9
9
12
3
19
39
73
123
15
6
18
77
345
31
29
43
25
31
1.257
127
616
I III
118
39
21
36
S4
9
12
19
289
14
77
34
475
30
2 IS
132
160
150
2,009
17
84
20
87
17
825
1 14
838
440
764
1,018
151
81
128
101
124
28
56
258
S3
CALIFORNIA—
Continued
Stanislaus
Sutter
Tulare
Ventura
Yolo
Yuba
COLORADO
Arapahoe
Douglas
El Paso
Jefferson
I junior
Pueblo
Weld
DELAWARE
New ( astle Police
Department
FLORIDA
Alachua
Bay ...
Brevard
Broward
Charlotte
i laj
Collier
Dade
Escambia
Flagler
Gadsden
Hernando
Hillsborough
I .ike
Lee
1 eon
Manatee
Marion
Martin . .
Nassau
Okaloosa
Orange
Osceola
Palm Beach
Pasco
Pinellas
Polk
St. Johns
St. Lucie
Santa Rosa
Sarasota
Seminole
Volusia
GEORGIA
Barrow
Bibb
III S ,11
Carroll . .
Catoosa
Chatham
Chatham Police
Department
Chattahoochee
Cherokee Police
Department
Clayton Police Department
432
73
594
988
207
64
464
116
168
515
227
218
163
333
317
204
712
2 984
312
274
715
3,972
807
"4
81
23h
2.360
418
727
582
725
62S
434
109
172
1,417
402
2,345
748
1709
1 042
328
^20
204
7 18
590
519
72
245
28
86
84
368
173
4
220
153
52
242
654
76
46
109
83
111)
361
xs
59
66
2110
145
300
906
175
151
350
2.787
332
73
28
153
873
I !6
136
2X11
292
195
188
SS
129
966
215
935
106
710
390
1411
199
96
321
238
159
52
52
211
133
279
21
152
134
131
18
155
11
58
154
142
159
97
117
59
412
2.078
137
123
365
1,185
475
21
53
83
1.487
282
391
102
433
433
246
14
43
451
187
1,410
442
1.089
652
188
127
108
427
352
160
40
29
13
34
32
137
40
1
GEORGIA—
Continued
Cobb ...
Cobb Police Department .
Columbia
Coweta
Dade
Dekalb
Dekalb Police Department
Dougherty
Dougherty Police
Department
Douglas
Fayette
Fulton
Fulton Police Department
Gwinnett
Gwinnett Police
Department
Hams
Henry
Henry Police Department.
Jones
Lee. .
Madison
McDuffie
Newton
Oconee
Paulding
Pe.ieh
Richmond
Rockdale
Spalding
Pwiggs
Walker
Walton
Ada
Canyon
ILLINOIS
Boone
Champaign
Clinton
Cook
De Kalb
Du Page
Grundy
Henry
Jersey
Kane
Kankakee
KenJall
Lake
Macon
Madison
McHenry
McLean
Menard
Monroe
Ogle
Peoria
Rock Island
St Clair
Sangamon
Tazewell
Will
Winnebago
Woodford
ISO
545
149
115
37
466
750
47
179
111!
828
III
288
511
51
80
127
45
23
25
21
67
40
103
47
145
106
102
13
86
91
186
78
41
56
23
635
61
190
47
41
II)
177
mi
53
373
145
101
220
66
10
20
50
175
118
172
226
5X
395
220
28
362
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1994 — Continued
County by State
INDIANA
Allen
Clark
Dearborn
Delaware
Elkhart
Harrison .
Huntington
I ake
Marion
Porter
Posey
St. Joseph
Tippecanoe
Tipton
Vanderburgh
Warrick
Wells
IOWA
Black Hawk
Dallas
Dubuque
Johnson. . .
Linn
Polk
Pottawattamie
Scott
Warren
Woodbury
KANSAS
Butler
Douglas
Harvey
Johnson
Leavenworth.
Miami
Sedgwick . . .
Shawnee ....
Wyandotte. . .
Total
police
employees
KENTUCKY
Bell
Boone
Boone Police Department
Bourbon
Boyd
Bullitt
Campbell
Campbell Police
Department
Carter
Christian
Clark
Daviess
Gallatin
Grant
Greenup
Henderson
Jefferson Police
Department
Jessamine
Kenton Police Department
Madison
Oldham
Oldham Police Department
Pendleton
Scott
Woodford
Woodford Police
Department
Total
officers
237
70
66
108
146
27
26
371
813
116
18
170
10(1
16
160
54
30
117
41
47
69
123
210
58
122
20
S4
54
75
19
310
43
25
309
114
161
15
21
55
6
20
17
10
34
7
19
10
31
3
5
10
18
553
11
46
13
9
17
26
17
39
60
10
10
170
419
48
8
125
41
7
100
27
II
94
II
40
45
87
168
34
40
20
42
37
19
244
31
15
14
97
128
Total
civilians
7
8
is
3
51
4
6
20
14
3
in
24
49
69
86
17
16
201
394
68
10
54
59
9
61)
32
19
10
I OS
17
33
County by State
LOUISIANA
Acadia
Ascension
Bossier
Caddo ....
Calcasieu
East Baton Rouge
Jefferson
Lafayette
Lafourche
Livingston
Ouachita .
Plaquemines
Rapides
St Charles
Si 1. lines
Si lolin the Baptisi
Si Landry
St. Martin
St Tammany
Terrebonne
Webster
West Baton Rou
Androscoggin
Cumberland
MARYLAND
Allegany
Anne Arundel
Anne Arundel Police
Department
Baltimore County
Sheriff
Baltimore County Police
Departmenl
Calverl
Carroll .
Cecil . .
Charles
Frederick
Harford
Howard
Howard 1'olicc
Department
Montgomery
Montgomery Police
Department
Prince George's
Prince George's Police
Departmenl
Queen Anne's
Washington
Total
police
employees
MICHIGAN
Allegan
Bay
Berrien . . .
Calhoun
Clinton
Eaton
Genesee
Ingham
Jackson
Kalamazoo
Kent
Lapeer
Lenawee
Livingston
Macomb
96
147
120
494
451
697
1.2S9
42S
194
126
245
153
276
226
OS
145
114
149
335
247
63
63
Total
officers
36
753
8
1 .673
67
34
53
2S4
40
365
ins
1 .560
30
148
167
87
57
125
227
202
99
151
15(1
SI
361
I4h
108
)59
449
007
809
42s
150
120
240
117
276
142
74
144
110
146
335
247
63
44
20
3(1
566
55
I 4S7
60
29
41
13S
76
155
26
Total
:ivilians
70
50
22
73
116
111
47
120
123
48
45
56
158
34
1
21
115
< oumy by Slate
186
7
5
12
123
22
129
14
64
12
1.012
277
210
79
1.253
307
28
2
57
91
40
6
97
37
35
52
111
91
52
31
27
14
17
27
203
total
police
employees
MICHIGAN—
Continued
Midland
Monroe . .
Muskegon
Oakland
Ottawa
Saginaw
St. Clair
Van Huren
Washtenaw
Wayne
MINNESOTA
\noka
Benton
('Ills. Igo
Dakota
Hennepin
Houston
Isanli
Olmsled
Polk
Ramsey
Si Louis
Scott
Sherburne
Washington
Wright
MISSISSIPPI
Forrest
Harrison
Lamar
Madison
Rankin
MISSOURI
Andrew
Boone
Buchanan
Cass
Christian .
Clay ...
Franklin
Greene ......
Jackson
Jasper
Jefferson
Lincoln
Platte
St. Charles
St. Louis Police
Department
Warren
Webster
MONTANA
Cascade
Yellowstone
NEBRASKA
Cass
Dakota
Douglas .
Lancaster
Sarpy
Washington
54
153
41
667
77
125
98
62
221
1.394
27
40
141)
578
17
29
92
27
319
111
87
66
179
110
Total
officers
10
89
67
42
30
124
84
130
111
87
191
27
53
221
755
28
13
49
100
158
78
132
32
84
35
534
66
85
55
35
119
721
80
17
23
68
ig2
II
15
44
17
252
87
29
26
71
66
62
190
15
27
27
S
58
65
27
30
04
74
111
83
73
151
15
48
118
548
23
13
30
40
108
60
97
II
363
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1994 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by Slate
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
NEVADA
Nye
Washoe
NEW JERSEY
Atlantic
Atlantic Prosecutor
Bergen
Bergen Police Department.
Bergen Prosecutor
Burlington
Burlington Prosecutor
Camden
Camden Prosecutor
Cape May
Cape May Prosecutor
Cumberland
Cumberland Prosecutor . . .
Essex
Essex Police Department. .
Essex Prosecutor
Gloucester
Gloucester Prosecutor
Hudson
Hudson Police Department
Hudson Prosecutor. ......
Hunterdon
Hunterdon Prosecutor
Mercer
Mercer Prosecutor
Middlesex
Middlesex Prosecutor
Monmouth
Monmouth Prosecutor
Morris
Morris Prosecutor .......
Ocean
Ocean Prosecutor
Passaic
Passaic Prosecutor
Salem
Salem Prosecutor
Somerset
Somerset Prosecutor
Sussex
Sussex Prosecutor
Union
Union Prosecutor
Warren
Warren Prosecutor
NEW MEXICO
Dona Ana
Sandoval
NEW YORK
Albany
Broome
Cayuga
Chautauqua
Erie
Genesee
Herkimer
Livingston
Monroe
Niagara
Oneida
Onondaga
Ontario
Orleans
Oswego
94
493
114
154
432
110
18S
68
115
229
211
131
40
179
50
465
64
434
208
74
195
106
268
28
43
117
125
203
226
421
238
273
142
184
116
611
183
146
33
172
102
108
47
167
214
23
58
142
55
31
92
641
50
52
76
280
127
171
235
87
37
72
72
318
87
68
355
85
78
55
38
202
98
111
14
154
16
421
59
295
154
29
158
89
99
22
19
90
81
161
138
321
108
202
95
78
59
470
75
129
10
132
69
96
29
150
125
19
36
96
45
23
69
538
36
43
64
239
111
119
209
56
25
61
22
175
27
86
77
25
107
13
77
27
113
20
26
25
34
44
5
139
54
45
37
17
169
6
24
27
44
42
88
100
130
71
47
106
57
141
108
17
23
40
33
12
18
17
89
4
22
46
10
8
23
103
14
9
12
41
16
52
26
31
12
II
NEW YORK—
Continued
Putnam
Sarasota
Schneclady
Schoharie
Suffolk
Suffolk Police Department
Tioga
Warren
Washington
NORTH CAROLINA
Alamance
Alexander
Brunswick
Buncombe
Burke
Cabarrus
Caldwell
Catawba
Chatham
Cumberland
Currituck
Davidson
Davie
Durham
Edgecombe
Forsyth
Franklin
Gaston Rural Police
Guilford
Johnston
Lincoln
Mecklenburg
Nash
New Hanover
Onslow
Orange
Pitt
Randolph
Rowan
Stokes
Union
Wake
Wayne
Yadkin
NORTH DAKOTA
Burleigh
Cass
Grand Forks
Morton
OHIO
Allen
Ashtabula
Auglaize
Belmont
Clark
Clermont
Columbiana
Crawford
Cuyahoga
Delaware
Franklin
Fulton
Geauga
Greene
Hamilton
Jefferson
85
96
8
20
168
3,144
50
81
31
109
26
73
242
94
124
72
106
54
404
26
125
38
314
63
394
67
142
359
54
68
623
78
231
123
92
187
95
109
45
110
442
77
43
131
74
33
40
136
164
80
32
1.090
81
719
29
63
97
916
48
64
69
5
12
126
2.581
34
63
21
68
17
62
133
54
115
40
100
40
326
23
78
34
96
37
207
29
107
177
42
54
72
45
174
73
77
72
71
103
30
76
201
43
23
54
39
18
19
113
70
32
16
144
38
570
19
32
86
693
36
21
27
3
8
42
563
16
18
10
41
9
II
109
40
9
32
6
14
78
3
47
4
218
26
187
38
35
182
12
14
551
33
57
50
15
115
24
6
15
34
241
34
20
77
35
15
21
23
94
48
16
946
43
149
10
31
II
223
OHIO— Continued
Lake
Licking
Lorain
Lucas
Mahoning
Medina
Miami
Montgomery
Pickaway
Portage
Stark
Trumbull
Washington
Wood
OKLAHOMA
Canadian
Cleveland
Comanche
Creek
Garfield
Logan
McClain.
Oklahoma
Osage
Pottawatomie
Rogers
Sequoyah
Tulsa
Wagoner
OREGON
Clackamas
Columbia
Jackson
Lane
Marion
Multnomah
Polk
Washington
Yamhill
PENNSYLVANIA
Allegheny
Allegheny Police
Department
Beaver
Blair
Cambna
Centre
Chester Detective
Cumberland
Washington
Westmoreland Detective .
Westmoreland Park Police
SOUTH CAROLINA
Aiken
Anderson
Berkeley
Charleston
Cherokee
Dorchester
Edgefield
Florence
Greenville
Horry
Horry Police Department
149
124
137
367
181
96
70
331
69
106
164
69
59
95
32
81
46
27
17
17
II
440
29
22
22
15
296
12
167
14
64
105
92
144
24
190
44
133
292
22
i4
20
10
19
18
27
49
19
102
118
106
536
48
102
25
85
347
15
135
37
93
50
250
134
86
39
169
35
27
91
34
31
59
17
32
II
109
23
13
13
7
177
10
136
12
46
63
66
120
18
146
39
252
17
12
14
9
16
16
23
12
19
77
96
64
220
35
54
14
68
283
12
124
364
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1994 — Continued
County by Slate
Total
police
employees
Total
officer*
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
SOUTH CAROL1NA-
Continued
Lexington
Pickens
Richland
Spartanburg
Sumter
York
SOUTH DAKOTA
Lincoln
Minnehaha
Pennington
TENNESSEE
Carter
Hamilton
Hawkins
Knox
Loudon
Madison
Marion
Montgomery
Robertson
Rutherford
Shelby
Sullivan
Sumner
Unicoi
Washington
Williamson
TEXAS
Archer
Bastrop
Bell
Bexar
Bowie
Brazoria
Brazos
Caldwell
Cameron
Chambers
Collin
Comal
Coryell
Dallas
Denton
Ector
El Paso
Ellis
Fort Bend
Galveston
Grayson
Gregg
Guadalupe
Hardin
Harris
Harrison
Hays
Henderson
Hidalgo
Hood
Hunt
Jefferson
Johnson
Kaufman
Liberty
Lubbock
McLennan
247
79
324
219
92
181
4
91
I id
47
280
47
717
44
58
24
124
63
130
1,407
186
108
30
82
115
II
89
239
1.568
167
228
130
54
227
59
324
108
37
1.859
343
143
653
112
236
319
68
124
76
39
3,338
83
178
83
329
49
53
438
119
64
132
249
225
159
58
286
200
85
86
28
229
30
237
41
58
15
121
29
65
473
94
89
18
44
55
7
25
75
350
39
94
57
II
60
25
103
47
17
456
99
83
198
37
169
274
53
64
27
20
2,487
28
57
29
126
26
22
85
35
27
33
156
52
19
51
17
480
3
9
3
34
65
934
92
19
12
38
60
4
64
164
1,218
128
134
73
43
167
34
221
61
20
1,403
244
60
455
75
67
45
15
60
49
19
851
55
121
54
203
23
31
353
84
37
99
93
173
TEXAS — Continued
Midland
Montgomery
Nueces
Orange
Parker
Potter
Randall
Rockwall
San Patricio
Smith
Tarrant
Taylor
Tom Green
Travis
Upshur
Victoria
Waller
Webb
Wichita
Williamson
Wilson
UTAH
Davis
Salt Lake
Utah
Weber
VIRGINIA
Albemarle Police
Department
Arlington Police
Department
Amherst
Bedford
Botetourt
Campbell
Charles City
Chesterfield Police
Department
Clarke
Culpeper
Dinwiddie
Fairfax Police Department
Fauquier
Fluvanna
Gloucester
Goochland
Greene
Hanover
Henrico Police
Department
Isle of Wight
James City Police
Department
King George
Loudoun
Mathews
New Kent
Pittsylvania
Powhatan
Prince George
Prince William Police
Department
Roanoke Police
Department
Scott
Spotsylvania
Stafford
Washington
York
163
376
374
118
76
160
75
39
70
226
1.396
132
108
1.091
36
98
41
209
129
184
26
164
757
142
137
405
47
84
50
58
15
382
15
73
52
1,265
94
14
61
17
17
133
594
26
52
26
199
15
23
79
20
48
125
39
78
108
54
76
91
279
204
61
31
126
61
14
33
65
513
78
38
341
16
65
16
150
36
111
12
126
402
103
109
405
20
49
25
159
9
16
69
17
39
72
97
170
57
45
34
14
25
37
161
883
54
70
750
20
33
25
59
93
73
14
38
355
39
28
324
81
38
9
84
39
II
48
10
9
6
329
53
10
5
55
18
43
9
982
283
74
20
10
4
52
9
13
4
11
6
124
9
189
6
3
1
40
6
7
10
3
9
118
29
8
21
32
13
WASHINGTON
Benton
Clark
Franklin
Island
King
Kitsap
Pierce
Snohomish
Spokane
Thurston
Whatcom
Yakima
WEST VIRGINIA
Brooke
Cabell
Hancock
Kanawha
Marshall
Mineral
Ohio
Putnam
Wayne
Wood
WISCONSIN
Brown
Calumet
Chippewa
Dane
Douglas
Eau Claire
Kenosha
La Crosse
Marathon
Milwaukee
Outagamie
Ozaukee
Pierce
Racine
Rock
Sheboygan
St. Croix
Washington
Waukesha
Winnebago
WYOMING
Laramie
Natrona
60
191
24
41
852
110
361
243
225
110
69
93
206
32
45
376
42
74
165
79
133
740
183
86
40
245
163
121
33
103
302
147
47
135
21
35
612
89
286
172
173
76
57
63
15
32
21
58
19
6
18
20
10
30
131
24
45
316
37
52
104
35
63
564
69
66
39
178
92
73
28
54
149
94
42
38
365
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
ALABAMA
Barbour
Butler
Chambers
Chilton
Choctaw
Clarke
Cleburne
Coffee
Conecuh
Coosa
Covington
Crenshaw
Cullman
Dallas
De Kalb
Escambia
Fayette
Franklin
Geneva
Greene
Hale
Henry
Jackson
Lamar
Lee
Lowndes
Macon
Marengo
Marshall
Monroe
Perry
Pickens
Pike
Randolph
Talladega
Tallapoosa
Walker
Washington
Wilcox
Winston
ARIZONA
Apache
Cochise
Coconino
Gila
Graham
Greenlee
Lapaz
Navajo
Santa Cruz
Yavapai
ARKANSAS
Arkansas
Ashley
Baxter
Boone
Bradley
Calhoun
Carroll
Chicot
Clark
Clay
Cleburne
Cleveland
Columbia
Conway
Craighead
Cross
Dallas
Desha
Drew
51
158
123
113
29
23
65
76
58
172
ARKANSAS— Continued
Franklin
Fulton
Garland
Grant
Greene
Hempstead
Hot Spring
Howard
Independence
Izard
Jackson
Johnson
Lafayette .
Lawrence
Lee
Lincoln
Little River
Logan
Madison
Marion
Mississippi
Monroe
Montgomery
Nevada
Newton
Ouachita
Perry
Phillips
Pike
Poinsett
Polk
Pope
Prairie
Randolph
St. Francis
Scott
Searcy
Sevier
Sharp
Stone
Union
Van Buren
While
Woodruff
Yell
( VI IH>K\I\
Alpine . . .
Amador . .
Calaveras.
Colusa
Del Norte
Glenn
Humboldt
Imperial
Inyo
Kings
Lake
Lassen
Mariposa .
Mendocino
Modoc
Mono
Nevada . .
Plumas. . .
San Benito
Sierra
Siskiyou
Tehama . .
Trinity . . .
Tuolumne
II
46
69
40
32
53
95
100
58
156
139
32
40
79
19
44
101
62
25
15
62
76
25
73
8
34
38
29
24
22
69
63
39
66
107
26
27
62
19
24
69
34
20
10
47
53
20
53
COLORADO
Alamosa
Archuleta
Baca
Chaffee
Cheyenne
Clear Creek
Crowley
Custer
Delta
Dolores
Eagle
Elbert
Fremont
Garfield
Gilpin
Grand
Gunnison
Hinsdale
Kiowa
Kit Carson
Lake
La Plata
Las Animas
Lincoln
Logan
Mesa
Mineral
Moffat
Montezuma
Montrose
Morgan
Otero
Ouray
Park
Phillips
Pitkin
Prowers
Rio Blanco
Rio Grande
Routt
Saguache
San Juan
San Miguel
Sedgwick
Summit
Teller
Yuma
FLORIDA
Baker
Bradford
Calhoun
Citrus
Columbia
De Soto
Dixie
Franklin
Gilchrist
Glades
Gulf
Hardee
Hendry
Highlands
Holmes
Indian River
Jackson
Jefferson
Lafayette
Levy
Liberty
Madison
Monroe
Okeechobee
Putnam
28
27
9
24
9
31
II
8
36
8
55
22
51
41
20
41
19
4
4
12
17
74
18
16
21
143
5
29
37
47
38
16
5
24
4
37
24
18
17
34
10
4
13
10
35
37
II
50
27
22
261
134
69
44
55
24
42
35
75
101
206
25
333
45
29
17
105
15
51
478
120
179
20
8
5
14
5
14
4
5
14
5
49
20
26
16
10
26
9
3
3
6
9
56
12
5
10
58
3
15
32
39
24
16
4
22
3
21
6
12
8
17
5
3
12
5
31
28
6
25
17
II
106
62
32
19
23
16
21
23
57
49
158
20
138
30
14
8
55
9
17
194
47
137
366
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by Stale
Total
police
employees
Total
officers
Total
civilians
County by Slate
Total
police
employees
Tolal
officers
Total
civilians
County by Stale
Total
police
employees
Tolal
officers
FLORIDA— Continued
Sumter
Suwannee
Taylor
Union
Wakulla
Walton
Washington
GEORGIA
Atkinson
Bacon
Baldwin
Banks
Ben Hill
Berrien
Bleckley
Brantley
Brooks
Bulloch
Butts
Calhoun
Camden
Candler
Chattooga
Clay
Clinch
Coffee
Colquitt
Cook
Crawford
Crisp
Dawson
Decatur
Dodge
Dooley
Early
Emanuel
Fannin
Floyd
Floyd Police Department. .
Franklin
Glynn
Glynn Police Department .
Gordon
Grady
Habersham
Hall
Hancock
Haralson
Heard
Irwin
Jackson
Jeff Davis
Jenkins
Lamar
Lanier
Laurens
Liberty
Lincoln
Long
Lowndes
Lumpkin
Macon
Marion
Mcintosh
Meriwether
Miller
Mitchell
Monroe
Murray
Oglethorpe
Pierce
Pike
Polk
9
14
75
23
22
16
16
14
24
48
31
13
66
10
40
7
14
53
65
16
20
55
22
45
19
IS
21
19
17
74
58
34
97
124
65
25
34
249
27
37
17
II
55
9
8
36
II
70
57
20
9
155
32
6
8
21
26
14
22
56
41
14
14
19
44
15
26
19
6
34
4
24
4
10
27
29
11
9
40
16
17
II
9
14
13
12
51
54
17
30
99
37
II
34
201
9
18
16
6
37
9
4
II
5
39
36
14
8
77
26
6
4
20
15
6
12
46
18
9
7
9
37
GEORGIA— Continued
Polk Police Department . .
Pulaski
Putnam
Quitman
Rabun
Schley
Screven
Seminole
Stewart
Sumter
Talbot
Tattnall
Taylor
Telfair
Terrell
Thomas
Tift
Towns
Treutlen
Troup
Turner
Union
Ware
Ware Police Department -
Warren
Washington
Wayne
Webster
White
Wilcox
Wilkes
Wilkinson
Worth
HAWAII
Hawaii Police Department
Kauai Police Department -
Maui Police Department
IDAHO
Adams
Bannock
Bear Lake
Benewah
Bingham
Blaine
Boise
Bonner
Bonneville
Boundary
Butte
Camas
Canbou
Cassia
Clark
Clearwater
Custer
Elmore
Franklin
Fremont
Gem
Gooding
Idaho
Jefferson
Jerome
Kootenai
Latah
Lemhi
Lewis
Madison
Minidoka
235
167
392
10
17
15
14
17
17
28
19
19
101
33
II
11
10
19
211
137
300
IDAHO— Continued
Nez Perce
Oneida
Owyhee
Payette
Power
Shoshone
Teton
Twin Falls
Valley
Washington
ILLINOIS
Adams
Alexander
Bond
Brown
Bureau
Calhoun
Carroll
Cass
Christian
Clark
Clay
Coles
Crawford
Cumberland
De Will
Douglas
Edgar
Edwards
Effingham
Fayette
Ford
Franklin
Fulton
Gallatin
Greene
Hamilton
Hancock
Hardin
Henderson
Iroquois
Jackson
Jasper
Jefferson
Jo Daviess
Johnson
Knox
La Salle
Lawrence
Lee
Livingston
Logan
Macoupin
Manon
Marshal!
Mason
Massac
McDonough
Mercer
Montgomery
Morgan
Moultne
Perry
Piatt
Pike
Pope
Pulaski
Putnam
Randolph
Richland
Saline
Schuyler
367
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by State
Total
police
employees
Total
officers
Total
en ilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State-
Total
police
employees
Total
nt'licers
ILLINOIS— Continued
Scott
Shelby
Stark
Stephenson
Union
Vermilion
Wabash
Warren
Washington
Wayne
While
Whiteside
Williamson
INDIANA
Bartholomew
Benton
Blackford
Carroll
Daviess
Decatur
Gibson
Grant
Jackson
Jefferson
Jennings
Kosciusko
La Grange
La Porte
Lawrence . . .
Martin
Montgomery
Newton
Pulaskj
Putnam
Ripley
Rush
Starke
Steuben
Wabash
Wayne
White
IOWA
Adair
Adams
Allamakee
Appanoose
Audubon
Benton
Boone
Bremer
Buchanan
Buena Vista
Butler
Calhoun
Carroll
Cass
Cedar
Cerro Gordo
Cherokee
Chickasaw
Clarke
Clay
Clayton
Clinton
Crawford
Davis
Decatur
Delaware
Des Moines
IOWA— Continued
Dickinson
Emmet
Fayette
Floyd
Franklin
Fremont
Greene
Grundy
Guthrie
Hamilton
Hancock
Hardin
Harrison
Henry
Howard
Humboldt
Ida
Iowa
Jackson
Jasper
Jefferson
Jones
Keokuk
Kossuth
Lee
Louisa
Lucas
Lyon
Madison
Mahaska
Mannn
Marshall
Mills
Mitchell
Monona
Monroe
Montgomery
Muscatine
O'Brien
Osceola
Page
Palo Alto
Plymouth
Pocahontas
Poweshiek
Ringgold
Sac
Shelby
Sioux
Storj
Tama
Taylor
Union
Van Buren
Wapello
Washington
Wayne
Webster
Winnebago
Winneshiek
Worth
Wright
KANSAS
Allen
Anderson
Atchison
Barber
Barton
Bourbon
Brown
Chase
Chautauqua
Cherokee
KANSAS — Continued
Cheyenne
Clark
Clay
Cloud.
Coffey
Comanche
Cowley
Crawford
Decatur
Dickinson
Doniphan
Edwards
Elk . . .
Ellis
Ellsworth
Finne)
Ford -
Franklin
Geary
Gove
Graham
Grant
Gra)
Greeley
Greenwood
Hamilton
Harper
Haskell
Hodgeman
Jackson
Jefferson
Jewell
Kearny
Kingman
Kiowa
Labette
Lane
Lincoln
Linn
Logan
Lyon . . .
Marion
Marshall
McPherson
Meade
Mitchell
Montgomery
Morns
Morton .
Nemaha
Neosho
Ness
Norton
Osage
Osborne
Ottawa
Pawnee
Phillips
Pottawatomie
Pratt
Rawlins
Reno
Republic
Rice
Riley Police Department
Rooks
Rush
Russell
Saline
Scott
Seward
Sheridan
Sherman
Smith
Stafford
9
4
120
10
9
8
62
5
13
4
11
4
26
34
3
14
4
5
3
II
5
>:
15
16
;s
7
6
4
3
10
4
5
13
4
12
18
4
13
S
13
13
5
6
10
5
5
12
4
5
16
4
5
5
24
6
3
25
6
5
6
8
17
11
4
82
7
4
4
60
4
368
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by Stale
Total
police
employees
Total
officers
Total
Cl\ ill. ills
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
KANSAS— Continued
Stanton ....
Stevens ...
Sumner ...
Thomas
Trego
Wabaunsee
Wallace ...
Washington .
Wichita
Wilson ...
Woodson . .
KENTUCKY
Adair
Allen
Anderson
Anderson Police
Department
Ballard
Barren
Bath
Boyle
Breathitt
Breckcnndge
Butler
Caldwell
Calloway
Carlisle
Carroll
Casey ...
Clay
Clinton
Crittenden
Cumberland
Edmonson. .
Elliott
Estill
Fleming
Floyd
Franklin
Fulton . .
Garrard ...
Graves
Grayson
Green
Hancock
Hardin
Harlan
Harrison
Hart
Henry
Hickman
Hopkins
Jackson
Johnson
Knott
Knox
Larue
Laurel
Lawrence
Lee
Leslie
Letcher
Lewis
Lincoln
Livingston
Logan
Lyon
Lyon Police Department .
Magoffin
Marion
Marshall
Martin
Mason
KENTUCKY— Continued
McCracken
McCreary
McLean
Meade
Menifee
Mercer ...
Metcalfe
Monroe
Montgomery
Morgan
Muhlenberg
Nelson
Nelson Police Department
Nicholas .
Ohio
Owen
Owsiej
Perr\
Pike
Powell
Pulaski
Robertson
Roekcasile
Rowan
Russell
Shelby
Simpson
Spencer
Taylor
Todd
Trigg
Trimble
Union
Warren ...
Washington
Wayne
Webster
Whitley
Wolfe
LOUISIANA
Allen .
Assumption
Avoyelles
Beauregard
Bienville
Caldwell
Cameron
Claiborne
Concordia
East Carroll
East Feliciana
Evangeline
Franklin
Gram
Iberia
Iberville
Jackson
Jelierson Davis
La Salle
Lincoln
Madison
Morehouse
Natchitoches
Pointe Coupee
Red River
Richland
Sabine
St. Mary
Tangipahoa
Union
Vermilion
Vernon
Washington
33
46
2IS
60
37
33
70
13
34
14
35
46
81
39
126
123
33
72
37
45
20
120
62
77
41
35
55
102
154
37
97
111
84
26
24
218
41
29
33
52
13
34
19
14
46
81
38
29
53
33
72
36
43
20
31
44
76
37
35
55
102
88
28
96
111
84
LOUISIANA— Continued
West Carroll
Winn
MAINE
Aroostook
Franklin
Hancock
Kennebec
Knox
Lincoln
Oxford
Penobscot
Piscataquis
Sagadahoc
Somerset
Waldo
Washington
York
MARYLAND
Caroline
Dorchester
Garrett
Kent
St. Mary's
Somerset
Talbot
Wicomico
Worcester
MICHIGAN*
Alcona
Alger
Alpena
Antrim
Arenac
Baraga
Barry
Benzie
Branch
Cass
Charlevoix
Cheboygan
Chippewa
Clare
Crawford
Delta
Dickmsun
Emmet
Gladwin
Gogebic
Grand Traverse
Gratiot
Hillsdale
Houghton
Huron
Ionia
Iosco
Iron
Isabella
Kalkaska
Keweenaw
Lake
Leelanau
Luce
Mackinac
Manistee
Marquette
Mason
Mecosta
Menominee
Missaukee
29
19
150
10
15
70
29
369
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by Stale
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
MICHIGAN— Continued
Montcalm
Montmorency
Newaygo
Oceana
Ogemaw
Ontonagon
Osceola
Oscoda
Otsego
Presque Isle
Roscommon
St. Joseph
Sanilac
Schoolcraft ,
Shiawassee
Tuscola
Wexford
MINNESOTA
Aitkin
Becker
Big Stone ,
Blue Earth
Brown ,
Carlton
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
Lincoln
Lyon
Mahnomen
Marshall
Martin
McLeod
Meeker
Mille Lacs
Morrison
Mower
Murray
Nicollet
Nobles
Norman
Otter Tail
Pennington
Pipestone
Pope
Red Lake
Redwood
Renville
Rice
Rock
Sibley
Steele
Stevens
Swift
MINNESOTA-
Continued
Todd
Traverse
Wabasha
Wadena
Waseca
Watonwan
Wilkin
Winona
Yellow Medicine
MISSISSIPPI
Adams
Bolivar
Chickasaw
Claiborne
Clarke
Coahoma
Covington
Franklin ,
Holmes
Humphreys
Issaquena ,
Itawamba
Jones
Kemper
Lauderdale
Lawrence ,
Leake ,
Lee
Montgomery
Oktibbeha
Perry
Scott
Simpson
Tishomingo
Walthall
Warren
Washington
Wayne
Winston
Yalobusha
MISSOURI
Atchison
Audrain
Barry
Barton
Bates
Benton
Bollinger
Caldwell
Camden
Cape Girardeau
Carrol]
Clark
Cole
Cooper
Crawford
Dallas
Daviess
Dent
Douglas
Gasconade
Gentry
Grundy
Harrison
Hickory
Holt
Johnson
Lewis
Livingston
Marion
8
12
7
9
8
16
4
5
3
4
6
9
7
3
4
5
8
38
4
5
20
38
3
1
4
5
42
4
3
15
9
4
5
9
16
9
17
7
5
7
3
25
27
19
22
6
5
4
5
6
5
5
3
17
12
4
10
1
10
1
12
1
4
5
5
5
20
14
28
11
7
8
5
2
37
7
5
14
MISSOURI— Continued
McDonald
Mercer
Mississippi
Monroe
Montgomery
Morgan
Nodaway
Oregon
Osage
Ozark
Pemiscot
Perry
Pike
Polk
Pulaski
Reynolds
Ripley
St. Clair
St. Francois
Sle. Genevieve
Saline
Scotland
Scott
Shelby
Stone
Sullivan
Vernon
Washington
Wayne
Worth
MONTANA
Beaverhead
Big Horn
Blaine
Broadwater
Carbon
Carter
Chouteau
Custer
Daniels
Dawson
Deer Lodge
Fallon
Fergus
Flathead
Gallatin
Garfield
Glacier
Golden Valley
Granite
Hill ,
Jefferson
Judith Basin
Lake
Lewis and Clark
Liberty
Lincoln
Madison
McCone
Meagher
Mineral
Missoula
Musselshell
Park
Petroleum
Phillips
Pondera
Powder River
Powell
Prairie
Ravalli
Richland
Roosevelt
12
]
12
B
15
14
14
17
21
27
19
18
10
9
26
35
47
13
24
7
16
25
13
28
13
6
10
2
13
II
7
9
25
2
15
80
54
3
10
2
8
18
18
3
24
47
9
33
13
3
8
12
79
8
16
1
12
9
2
14
6
34
15
20
II
3
11
6
10
II
12
4
4
4
II
18
14
14
18
6
9
13
34
32
i:
7
18
3
20
5
12
19
4
3
7
14
5
3
6
2
8
5
3
5
19
I
8
40
28
2
7
2
4
9
9
3
12
27
4
21
7
3
3
6
48
4
10
I
7
6
2
10
3
16
6
9
370
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by Stale
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by Stale
Total
police
employees
Total
officers
MONTANA— Continued
Rosebud
Sanders
Sheridan
Silver Bow
Stillwater
Sweet Grass
Teton
Toole
Treasure
Valley
Wheatland
Wibaux
NEBRASKA
Adams
Antelope
Arthur
Banner
Blaine
Boone
Box Butte
Boyd
Brown
Buffalo
Burt
Butler
Cedar
Chase
Cherry
Cheyenne
Clay
Colfax
Cuming
Custer
Dawes
Dawson
Deuel
Dixon
Dodge
Dundy
Fillmore
Franklin
Frontier
Furnas
Gage
Garden
Gosper
Grant
Greeley
Hall
Hamilton
Harlan
Hayes
Hitchcock
Holt
Hooker
Howard
Jefferson
Johnson
Kearney
Keith
Keya Paha
Kimball
Knox
Lincoln
Logan
Loup
Madison
McPherson
Merrick
Mornll
Nance
Nemaha
Nuckolls
NEBRASKA— Continued
Otoe
Pawnee
Perkins
Phelps
Pierce
Platte
Polk
Red Willow
Richardson
Rock
Saline
Saunders
Scotis Bluff
Seward
Sheridan
Sherman
Sioux
Stanton
Thayer
Thomas
Thurston
Valley
Wayne
Webster
Wheeler
York
NEVADA
Carson City
Churchill
Douglas
Elko
Esmeralda
Eureka
Humboldt
Lander
Lincoln
Lyon
Mineral
Pershing
Storey
While Pine
NEW HAMPSHIRE
Belknap
Cheshire
Sullivan
NEW MEXICO
Curry
Eddy
Grant
Guadalupe
Harding
Hidalgo
Lincoln
Luna
McKinley
Roosevelt
San Juan
Sierra
Socorro
Taos
NEW YORK
Allegany
Cattaraugus
Chenango
Clinton
Columbia
Cortland
100
38
101
53
12
20
40
35
17
63
31
16
19
31
8
10
72
28
31
7
87
14
45
8
8
4
13
7
37
3
35
17
47
16
29
2
10
6
19
24
7
9
7
7
i
5
2
13
4
31
24
26
20
5
5
2
NEW YORK— Continued
Delaware
Essex
Franklin
Fulton
Greene
Jefferson
Lewis
Otsego
Seneca
Steuben
Sullivan
Tompkins
Ulster
Wyoming
Yates
NORTH CAROLINA
Alleghany
Anson
Ashe
Avery
Beaufort
Bertie
Bladen
Camden
Carteret
Caswell
Cherokee
Chowan
Clay
Cleveland
Columbus
Craven
Dare
Duplin
Gates
Granville
Greene
Halifax
Harnett
Haywood
Henderson
Hertford
Hoke
Hyde
Iredell
Jackson
Jones
Lee
Lenoir
Martin
McDowell
Montgomery
Moore
Northampton
Pamlico
Pasquotank
Pender
Perquimans
Person
Polk
Richmond
Robeson
Rockingham
Rutherford
Sampson
Scotland ,
Stanly
Surry
Swain
Transylvania
Tyrrell
Vance
Warren
15
25
19
53
23
57
25
16
35
38
44
40
58
39
31
21
21
27
31
63
18
46
6
46
28
19
16
13
97
70
93
110
58
5
47
27
74
96
34
95
34
53
12
94
30
13
52
67
19
41
37
64
34
22
16
47
6
60
35
50
82
91
54
74
47
42
58
17
46
12
28
19
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
NORTH CAROLINA—
Continued
Washington
Watauga
Wilkes
Wilson
NORTH DAKOTA
Adams
Barnes
Benson
Billings
Bottineau
Bowman
Burke
Cavalier
Dickey
Divide
Dunn
Eddy
Emmons
Foster
Golden Valley
Grant
Gnggs
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
OHIO
Ashland
Champaign
Clinton
Coshocton
Darke
Defiance
Erie
Harrison
Henry
Highland
Hocking
Huron
Logan
Monroe
Morgan
3
1
8
5
4
5
4
4
1
4
3
1
3
2
]
3
4
2
2
3
2
1
3
1
2
4
1
2
6
4
21
4
7
11
4
4
4
3
13
4
3
4
5
1
5
3
1
8
1
9
3
2
1
2
1
1
9
3
10
3
3
6
6
16
23
2
OHIO — Continued
Morrow
Muskingum
Noble
Paulding
Ross
Sciolo
Seneca
Shelby
Tuscarawas
Union
Van Wen
Wayne
Williams
Wyandot
OKLAHOMA
Adair
Alfalfa
Atoka
Beaver
Beckham
Blaine
Bryan
Caddo
Carter
Cherokee
Choctaw
Cimarron
Coal
Cotton
Craig
Custer
Delaware
Dewey
Ellis
Garvin
Grady
Grant
Greer
Harmon
Harper
Haskell
Hughes
Jackson
Jefferson
Johnston
Kay
Kingfisher
Kiowa
Latimer
Le Flore
Lincoln
Love
Major
Marshall
Mayes
McCurtain
Mcintosh
Murray
Muskogee
Noble
Nowata
Okfuskee
Okmulgee
Ottawa
Pawnee
Payne
Pittsburg
Pontotoc
Pushmataha
Roger Mills
Seminole
Stephens
Texas
OKLAHOMA—
Continued
Tillman
Washington
Washita
Woods
Woodward
OREGON
Baker
Benion
Clatsop
Coos
Crook
Curry
Deschutes
Douglas
Gilliam
Grant
Harney
Hood River
Jefferson
Josephine
Klamath
Lake
Lincoln
Linn
Malheur
Morrow
Sherman
Tillamook
Umatilla
Umatilla Tribal
Union
Wallowa
Wasco
Wheeler
PENNSYLVANIA
Clarion
Elk
Jefferson
Warren
SOUTH CAROLINA
Abbeville
Allendale
Bamberg
Barnwell
Beaufort
Calhoun /
Chester
Chesterfield
Clarendon
Collelon
Darlington
Dillon
Fairfield
Georgetown
Greenwood
Hampton
Jasper
Kershaw
Lancaster
Laurens
Lee
Marion
Marlboro
McCormick
Newberry
Oconee
Orangeburg
Saluda
7
12
16
36
17
47
II
28
64
90
3
5
9
18
16
63
22
5
29
75
17
16
5
20
25
13
7
II
29
2
5
3
4
39
33
7
15
21
137
13
35
28
43
74
42
30
42
49
81
18
38
36
70
54
20
23
21
21
40
51
71
10
11
7
3
12
29
14
32
8
20
49
71
3
4
8
15
II
44
17
5
24
55
II
10
4
5
5
20
4
33
23
6
8
13
125
12
32
18
27
36
38
19
35
44
50
7
19
33
42
40
18
19
16
10
27
39
54
10
372
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by Stale
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
SOUTH CAROLINA-
Continued
Union
Williamsburg
SOUTH DAKOTA
Aurora
Beadle
Bennett
Bon Homme
Brookings
Brown
Clay
Custer
Day
Deuel
Douglas
Fall River
Faulk
Haakon
Hand
Harding
Hughes
Hyde
Jackson
Lyman
Marshall
McCook
Meade
Miner
Moody
Perkins
Sanborn
Spink
Turner
Yankton
TENNESSEE
Bradley
Cannon
Chester
Coffee
Crockett
Fentress
Gibson
Grainger
Greene
Hamblen
Hardeman
Henderson
Henry
Houston
Humphreys
Jackson
Jefferson
Lawrence
Lincoln
Macon
Marshall
Maury
McMinn
Meigs
Monroe
Perry
Roane
Scott
Stewart
Trousdale
Van Buren
Warren
Wayne
Weakley
White
1
3
1
4
4
2
1
13
24
3
1
7
4
2
TEXAS
Anderson
Andrews
Angelina
Aransas
Armstrong
Atascosa
Austin
Bailey
Bandera
Baylor
Bee
Blanco
Borden
Bosque
Brewster
Briscoe
Brooks
Brown
Burleson
Burnet
Calhoun
Callahan
Camp
Carson
Cass
Castro
Cherokee
Childress
Clay
Cochran
Coke
Coleman
Collingsworth
Colorado
Comanche
Concho
Cooke
Cottle
Crane
Crockett
Crosby
Culberson
Dallam
Dawson
Deaf Smith
Delta
Dewitl
Dickens
Dimmit
Donley
Duval
Eastland
Edwards
Erath
Falls
Fannin
Fayette
Fisher
Floyd
Foard
Franklin
Freestone
Frio
Gaines
Garza
Gillespie
Glasscock
Goliad
Gonzales
Gray
Gnmes
Hale
Hall
Hamilton
Hansford
TEXAS — Continued
Hardeman
Hartley
Haskell
Hemphill
Hill
Hockey
Hopkins
Houston
Howard
Hudspeth
Hutchinson
Irion
Jack
Jackson
Jasper
Jeff Davis
Jim Hogg
Jim Wells
Jones
Karnes
Kendall
Kenedy
Kent
Kerr
Kimble
King
Kinney
Klegerg
Knox
La Salle
Lamar
Lamb
Lampasas
Lavaca
Lee
Leon
Limestone
Lipscomb
Live Oak
Llano
Loving
Lynn
Madison
Marion
Martin
Mason
Matagorda
Maverick
McCulloch
McMullen
Medina
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
6
6
14
35
19
44
21
23
30
29
7
13
25
26
3
33
27
25
15
37
7
3
40
7
I
12
36
6
17
61
14
21
16
12
19
35
9
23
25
4
12
20
8
7
6
70
54
8
3
26
7
21
8
9
19
23
21
4
76
68
14
18
16
12
45
35
11
23
is
22
16
II
6
18
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1994 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by Stale
Total
police
employees
Total
officers
TEXAS— Continued
Reeves
Refugio
Roberts
Robertson
Runnels
Rusk
Sabine
San Augustine
San Jacinto .
San Saba
Schleicher
Scurry
Shackelford
Shelby
Sherman
Somervell
Starr
Stephens
Sterling
Stonewall
Sutton
Swisher
Terrell
Terry
Throckmorton
Thus
Trinity
Tyler
Upton
Uvalde
Val Verde
Van Zandl
Walker
Ward
Washington
Wharton
Wheeler
Wilbarger
Willacy
Winkler
Wise
Wood
Yoakum
Young
Zapata
Zavala
Beaver - . .
Box Elder
Cache ....
Carbon . . .
Daggett
Duchesne
Emery ....
Garfield
Grand ....
Iron
Juab
Millard
Morgan . . .
Piute
Rich
San Juan . .
Sanpete
Ses. ici
Summit
Tooele ....
Uintah
Wasatch. .
Washington
Wayne ....
VERMONT
Lamoille
Orleans
Windham
VIRGINIA
Accomack
Alleghany
Amelia
Augusta
Bath .
Bland
Brunswick
Buchanan
Buckingham
Caroline
Carroll
Charlotte
Craig
Cumberland
Dickenson
Essex
Floyd
Franklin
Frederick
Giles
t t.i\ son
Greensville
Hahlax
Henry
Highland
King and Queen
King William
Lancaster
Lee
Louisa
Lunenburg
Madison
Mecklenburg
Middlesex
Montgomery
Nelson
Northampton
Northumberland
Nottoway
Orange
Page
Palritk
Prince Edward
Pulaski
Rappahannock
Richmond
Rockbridge
Rockingham
Russell
Shenandoah
Smyth
Southampton
Surry
Sussex
Tazewell
Warren
Westmoreland
Wise
Wythe
WASHINGTON
Adams
Asotin
Chelan
Clallam
Columbia
Cowlitz
Douglas
33
18
17
30
36
25
16
07
18
17
24
130
41
51
40
42
13
33
51
56
32
56
39
43
29
8
73
17
13
20
14
10
32
30
22
6
8
26
8
14
54
57
24
20
29
34
79
II
6
14
19
42
21
7
10
21
7
41
22
29
18
13
20
35
20
16
54
7
II
16
ins
39
48
38
33
8
31
43
55
25
43
WASHINGTON—
Continued
Ferry
Garfield
Grant
Grays Harbor
Jefferson
Killilas
Klickitat.
Lewis
Lincoln
Mason
i ikanogan
Pacific
Pend Oreille
San luan
Skagit
Skamania. .
Stevens
Wahkiakum
Walla Walla
Whitman .
WEST VIRGINIA
Barbour .
Berkeley
Boone
Braxton
Calhoun
Clay
Doddridge
Fayette
Gilmer
Grant
( ireenbriet
Hampshire .
Hardy
Harrison
Jackson
Jefferson
Lewis
I incoln
Logan
Marion
Mason
McDowell .
Mercer. . . .
Mingo
Monongalia
Monroe
Morgan
Nicholas
Pendleton. . .
Pleasants
Pocahontas
Preston
Raleigh
Randolph
Ritchie
Roane
Summers
Taylor
Tucker
Tyler
Upshur
Webster
Wetzel
Wirt
Wyoming. .
WISCONSIN
Adams
Ashland
Barron .
53
49
21
42
27
57
12
43
34
21
17
51
21
!3
II
20
17
20
5
'I
10
'■
12
10
5
37
53
29
18
23
40
44
5
6
21
4
54
13
9
6
4
19
4
'i
15
4
1
i
16
12
19
14
9
4
36
HI
IS
23
17
45
II
36
28
10
12
17
43
5
17
14
21
19
4
30
3
5
17
5
6
4
20
23
13
17
18
14
20
5
6
15
45
4
4
6
3
6
4
4
7
4
7
32
15
13
374
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 199^ — Continued
County by Stale
Total
police
employees
Total
officers
Total
Ch ill. ins
County by State
Total
police
L'mnluu'L"*
Total
officers
Total
:i\ ilians
Couniv h> State
Total
police
employees
Total
officers
Total
civilians
WISCONSIN— Continued
Bayfield
Buffalo
Burnett
Clark
Columbia
Crawford
Dodge
Door
Dunn
Florence
Fond Du Lac
Forest
Grant
Green
Green Lake
Iowa
Iron
Jackson
Jefferson
Juneau
Kewaunee
Lafayette
Langlade
Lincoln
Manitowoc
25
IS
23
38
65
20
72
38
32
II
79
12
39
41
27
22
II
29
103
29
27
IS
23
40
104
35
3
31
34
19
1
J9
33
36
:
19
13
1 1
73
6
II
1
22
17
3 s
3
27
WISCONSIN— Continued
Marinette .
Marquette
Menominee
Menominee Tnhal
Monroe
Oconto
Oneida
Pepin
Polk
Portage .
Price
Richland
Rusk
Sauk
Sawyer
Shawano
Taylor
Trempealeau
Vernon . . .
Vilas
Walworth
Washburn
Waupaca
Waushara
Wood
56
165
21
39
25
71
WYOMING
Albany
Big Horn
Campbell
Carbon
Converse
Crook
Fremont
Goshen
Hot Springs
Johnson
Lincoln
Niobrara
Park
Platte
Sheridan
Sublette
Sweetwater
Teton
Uinta
Washakie
Weston
OTHER AREAS
Guam
Puerto Rico
Virgin Islands
432
16,341
654
344
14.150
511
4
18
7
8
6
17
375
SECTION VII
APPENDIX I
Methodology
The information compiled by UCR contributors is
forwarded to the FBI either directly from local law enforce-
ment agencies or through state-level UCR Programs in 44
states and the District of Columbia. Agencies submitting
directly to the FBI are provided continuing guidance and sup-
port on an individual basis.
State-level UCR Programs are very effective intermediaries
between local contributors and the FBI. Many of the Programs
have mandatory reporting requirements and collect data
beyond the national UCR scope to address crime problems
germane to their particular locales. In most cases, these agen-
cies are also able to provide more direct and frequent service to
participating law enforcement agencies, to make information
more readily available for use at the state level, and to
contribute to more streamlined operations at the national level.
With the development of a state UCR Program, the FBI
ceases direct collection of data from individual law enforce-
ment agencies within the state. Instead, information from local
agencies is forwarded to the national Program through the state
data collection agency.
The conditions under which these systems are developed
ensure consistency and comparability in the data submitted to
the national Program, as well as provide for regular and timely
reporting of national crime data. These conditions are: (1) The
state Program must conform to national Uniform Crime
Reports' standards, definitions, and information requirements.
The states are not, of course, prohibited from collecting other
statistical data beyond the national requirements. (2) The state
criminal justice agency must have a proven, effective, state-
wide Program and have instituted acceptable quality control
procedures. (3) Coverage within the state by a state agency
must be. at least, equal to that attained by the national Uniform
Crime Reports. (4) The state agency must have adequate field
staff assigned to conduct audits and to assist contributing
agencies in record practices and crime reporting procedures.
(5) The state agency must furnish to the FBI all of the detailed
data regularly collected by the FBI in the form of duplicate
returns, computer printouts, and/or magnetic tapes. (6) The
state agency must have the proven capability (tested over a
period of time) to supply all the statistical data required in time
to meet national Uniform Crime Reports' publication
deadlines.
To fulfill its responsibilities in connection with the UCR
Program, the FBI continues to edit and review individual
agency reports for both completeness and quality; has direct
contact with individual contributors within the state when
necessary in connection with crime reporting matters, coor-
dinating such contact with the state agency; and upon request,
conducts training programs within the state on law enforce-
ment records and crime reporting procedures. Should circum-
stances develop whereby the state agency does not comply
with the aforementioned requirements, the national Program
may reinstitute a direct collection 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, or other sources,
law enforcement agencies across the country tabulate the
number of Crime Index or Part I offenses brought to their
attention each month. Specifically, the crimes reported to the
FBI are murder and nonnegligent manslaughter, forcible rape,
robbery, aggravated assault, burglary, larceny-theft, motor
vehicle theft, and arson.
Whenever complaints of crime are determined through
investigation to be unfounded or false, they are eliminated
from an agency's count. The number of "actual offenses
known" is reported to the FBI regardless of whether anyone is
arrested for the crime, stolen property is recovered, or prosecu-
tion is undertaken.
Another integral part of the monthly submission is the total
number of actual Crime Index offenses cleared. Crimes are
"cleared" in one of two ways: (1) at least one person is
arrested, charged, and turned over to the court for prosecution;
or (2) by exceptional means when some element beyond law
enforcement control precludes the arrest of an offender. Law
enforcement agencies also report the number of Index crime
clearances which involve only offenders under the age of 18;
the value of property stolen and recovered in connection with
the offenses; and detailed information pertaining to criminal
homicide and arson.
In addition to its primary collection on Crime Index (Part I)
offenses, the UCR Program solicits monthly data on persons
arrested for all crimes except traffic violations. The age, sex,
and race of arrestees are reported by crime category, both Part I
and Part II. Part II offenses include all crimes not classified as
Part I.
376
Various data on law enforcement officers killed or assaulted
are collected on a monthly basis. The number of full-time
sworn and civilian personnel are reported as of October 31
each year.
Editing Procedures
Each report submitted to the UCR Program is thoroughly
examined for arithmetical accuracy and for deviations which
may indicate errors. To identify any unusual fluctuations in an
agency's crime counts, monthly reports are compared with
previous submissions of the agency and with those for similar
agencies. Large variations in crime levels may indicate mod-
ified records procedures, incomplete reporting, or changes in
the jurisdiction's geopolitical structure.
Data reliability is a high priority of the Program and noted
deviations or arithmetical adjustments are brought to the atten-
tion of the state UCR Program or the submitting agency
through correspondence. A standard procedure of the FBI is to
study the monthly reports and to evaluate periodic trends
prepared for individual reporting units. Any significant
increase or decrease is made the subject of a special inquiry.
When it is found that changes in crime reporting procedures or
annexations are influencing the level of crime, the figures for
specific crime categories, or if necessary, totals are excluded
from trend tabulations.
To assist contributors in complying with UCR standards, the
national Program provides training seminars and instructional
materials in crime reporting procedures. Throughout the coun-
try, liaison with state Programs and law enforcement personnel
is maintained, and training sessions are held 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 remedial efforts are unsuc-
cessful, FBI Headquarters' personnel may visit the contributor
to aid in resolving the difficulties.
The Uniform Crime Reporting Handbook, which details
procedures for classifying and scoring offenses, is supplied to
all contributors as the basic resource document for preparing
reports. Since a good records system is essential for accurate
crime reporting, the FBI also furnishes the Manual of Law
Enforcement Records.
To enhance communication among Program participants,
letters to UCR contributors and State UCR Program "Bulle-
tins" are utilized. They address Program policy, as well as
present information and instructional material, and are pro-
duced as needed.
The final responsibility for data submissions rests with the
individual contributing law enforcement agency. Although the
Program makes every effort through its editing procedures,
training practices, and correspondence to assure the validity of
the data it receives, the statistics' accuracy depends primarily
on the adherence of each contributor to the established
standards of reporting. Deviations from these established
standards which cannot be resolved by the national UCR
Program may be brought to the attention of the Committee on
Uniform Crime Records of the International Association of
Chiefs of Police or the Committee on Uniform Crime Report-
ing of the National Sheriffs' Association.
NIBRS Conversion
Several states provided their UCR data in the expanded
NIBRS format. For presentation in this book, NIBRS data were
converted to the historical summary UCR formats. The NIBRS
data base was constructed to allow for such conversion so that
UCR's long-running time series could continue.
Offense Estimation
Tables 1 through 5 and 7 of this publication contain statistics
for the entire United States. Because not all law enforcement
agencies provide data for complete reporting periods, esti-
mated crime counts are included in these presentations.
Offense estimation occurs within each of three areas: Metro-
politan Statistical Areas (MSAs), cities outside MSAs. and
rural counties. Using the known crime experiences of similar
areas within a state, the estimates are computed by assigning
the same proportional crime volumes to nonreporting agencies.
The size of agency: type of jurisdiction, e.g., police department
versus sheriff's office: and geographic location are considered
in the estimation process.
Because of efforts to convert to the National Incident-Based
Reporting System, it has become necessary to estimate totals
for some states during the transitional period. Crime counts for
the states of Iowa in 1991, Kansas and Illinois in 1993 and 1994,
and Montana in 1994 were estimated using procedures based on
data availability specific to each state. The Iowa conversion
was successful and post-1991 state figures were available. Kan-
sas, Illinois, and Montana are continuing conversion efforts.
Within these states, complete 1993 and 1994 jurisdictional data
are only available for Wichita, Kansas, and approximately 60
Illinois agencies still reporting under the summary format. The
1994 jurisdictional figures are shown in Tables 8 through 11.
For Iowa (1991) and Kansas (1993), state totals were esti-
mated by updating previous valid annual totals for individual
jurisdictions, subdivided by population group. For the year in
question, percent changes for each offense within each popula-
tion group of the geographic division in which the state resides
were applied to the previous annual valid figures. The state
totals were compiled from the sums of the population group
estimates. (This same method was used to estimate Florida and
Kentucky totals for 1988 when there were reporting problems
at the state levels.)
A different method was used to estimate 1993 Illinois totals.
Since valid figures were available for some Illinois individual
jurisdictions, those counts were maintained. The counts for the
remaining jurisdictions were replaced with the most recent
valid annual totals for previous years or were generated using
standard estimation procedures. The results of all sources were
then combined to arrive at the 1993 state total for Illinois.
377
State estimates for 1994 were generated for Kansas, Illinois,
and Montana using only the valid crime rates for the geo-
graphic division in which the state resides. Within each popula-
tion group, each state's offense totals were estimated based on
the rate per 100,000 inhabitants within the remainder of the
division.
The inability of some state UCR Programs to provide
forcible rape figures in accordance with the UCR guidelines
also required unique estimation procedures. The 1985 through
1994 Illinois and 1993 Michigan and Minnesota forcible rape
totals were estimated using national rates per 100,000 inhabi-
tants within the eight population groups and assigning the
forcible rape volumes proportionally to each state.
Crime Trends
Showing fluctuations from year to year, trend statistics offer
the data user an added perspective from which to study crime.
Percent change tabulations in this publication are computed
only for reporting units which have provided comparable data
for the periods under consideration. Exclusions from trend
computations are made when figures from a reporting agency
are not received for comparable timeframes or when it is
ascertained that unusual fluctuations are due to such variables
as improved records procedures, annexations, etc.
Care should be exercised in any direct comparison between
data in this publication and those in prior issues of Crime in the
United States. For example, the 1993 estimates for Minnesota
and Nebraska were updated in certain offense categories.
These updates also affected the U.S. totals. Valid percent
changes for 2-, 5-, and 10-year periods are presented in this
book's tabular portions.
Table Methodology
Although most law enforcement agencies submit crime
reports to the UCR Program, data are sometimes not received
for complete annual periods. To be included in this publica-
tion's Tables 8 through 11, showing specific jurisdictional sta-
tistics, figures for all 12 months of the current year must have
been received at the FBI prior to established publication dead-
lines. Other tabular presentations are aggregated on varied
levels of submission. Unless consisting of estimates for the
total United States population, each table in this publication
shows the number of agencies reporting and the extent of
population coverage.
Designed to assist the reader, this appendix explains the
construction of many of this book's tabular presentations. The
following key refers to the columnar headings used throughout
the appendix.
Key: A) Column 1 shows the table numbers. Included are
Tables 1 through 69, Crime in the United States -
1994.
B) Column 2 indicates the level of submission neces-
sary for an agency's statistics to be included in a
table.
C) Column 3 explains how each table was constructed.
Data adjustments, if any, are discussed along with
various definitions of data aggregation.
D) Column 4 contains general comments regarding the
potential use and misuse of the statistics presented.
378
(1)
Tabic
(2)
Data Base
(3)
Table Construction
(4)
General Comments
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1994).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1994).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1994).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1994).
The 1994 statistics are consistent with Table 2
Pre- 1994 crime statistics may have been updated, and
hence, may not be consistent with prior publications.
Crime statistics include estimated offense totals for
agencies submitting less than 12 months of offense
reports for each year. Population statistics represent
July 1 provisional estimations for each year except
1970. 1980. and 1990, which are Bureau of the Census
decennial census data (see App. 111). Crime volume
statistics are rounded to the nearest 10 for violent crime
and the nearest 100 for property crime. Percent changes
and rates are computed prior to rounding.
Statistics are aggregated from individual state statistics
as shown in Table 5. Crime sialistics include estimated
offense totals for agencies submitting less than 12
months of offense reports. Population statistics repre-
sent July 1. 1994, Bureau of the Census provisional
estimates. See Appendix III for UCR population
breakdowns.
Regional offense distributions are computed from vol-
ume figures as shown in Table 4. Population distribu-
tions are based on July 1, 1994. Bureau of the Census
provisional estimates {see App. III).
The 1994 statistics are aggregated from individual stale
statistics as shown in Table 5. Crime statistics include
estimated offense totals for agencies submitting less
than 12 months of offense reports for 1993 and 1994
Population statistics represent July 1 provisional esti-
mates for both years (see App. III).
Cnme statistics include estimated offense totals for
agencies submitting less than 12 months of offense
reports Population statistics represent 1994 estimates
(see App. III). Statistics under the heading "Area Actu-
ally Reporting" represent reported offense totals for
agencies submitting 12 months of offense reports and
estimated totals for agencies submitting less than 12 but
more than 2 months of offense reports. The statistics
under the heading'"Estimaled Totals" represent the
above plus estimated offense totals for agencies having
less than 3 months of offense reports.
Statistics are published for all Metropolitan Statistical
Areas (MSAs) having at least 75% reporting and for
which the central city/cities submitted 12 months of
data in 1994 Cnme statistics include estimated offense
totals for agencies submitting less than 12 months of
offense statistics for 1994. Population statistics repre-
sent July I. 1994, Bureau of the Census provisional
estimates. The statistics under the heading "Area Actu-
ally Reporting" represent reported offense totals for
agencies submitting all 12 months of offense reports
plus estimated offense totals for agencies submitting
less than 12 but more than 2 months of offense reports
The statistics under the heading "Estimated Total" rep-
resent the above plus the estimated offense totals for
agencies submitting less than 3 months of offense
reports. The tabular breakdowns are according to UCR
definitions (see App II).
Represents an estimation of national reported crime
activity from 1975 to 1994.
Represents an estimation of national reported cnme
activity in 1994.
Represents the 1994 geographical distnbution of esti-
mated Crime Index offenses and population.
Represents an estimation of reported crime activity for
Index offenses at the:
1 national level
2. regional level
3. division level
4. state level
Any comparison of UCR statistics should take into
consideration demographic factors.
Represents an estimation of reported crime activity for
Index offenses at the state level. Any comparison of
UCR statistics should take into consideration demo-
graphic factors.
Represents an estimation of the reported crime activity
for Index offenses at individual MSA level. Any com-
parison of UCR statistics should take into consideration
demographic factors.
379
(1)
Table
(2)
Data Base
(3)
Table Construction
(41
General Comments
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1994).
All law enforcement agencies
reports for 12 months in 1994.
submitting complete
All university/college law enforcement agencies sub-
mitting complete reports for 12 months in 1994.
All law enforcement agencies submitting complete
reports for 12 months in 1944
All law enforcement agencies submitting complete
reports for 12 months in 1994.
12-15
All law enforcement agencies submitting complete
reports for at least 6 common months in 1993 and 1994.
All law enforcement agencies submitting complete
reports for 12 months in 1994.
All law enforcement agencies submitting Supplemen-
tary Homicide Report iSHR) data in 1994.
All law enforcement agencies submitting complete
reports for 12 months in 1994.
All law enforcement agencies submitting complete
reports for at least 6 months in 1994.
Offense totals are for all Index offense categories other
than aggravated assault. Crime statistics include esti-
mated offense totals for agencies submitting less than
12 months of offense reports for each year.
"Cities and Towns" are defined to be agencies in Popu-
lation Groups I through V (App. III). The agency popu-
lations are 1994 estimates tor each agency (see App
III)
The 1992 student enrollment figures, which are pro-
vided by the U.S. Department of Education, are the
most recent available. They include full- and part-time
students No adjustments to equate part-time enroll-
ments into full-time equivalents have been made.
"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App III) Popula-
tion estimates of suburban counties are as of July 1.
1994. (see App. Ill)
"Rural Counties" are those outside MSAs and whose
jurisdictions arc not covered by city police agencies
(App 111) Population classifications of rural counties
arc hascd on ll»44 estimates lor individual agencies (see
App III.
The 1994 crime trend statistics arc 2-year comparisons
based on 1994 reported crime activity. Only common
reported months for individual agencies are included in
1994 trend calculations. Populations represent Jul) 1
1994. estimates for individual agencies. See Appendix
III for UCR population breakdowns. Note that "Subur-
ban and Nonsuburban Cities" are all municipal agen-
cies other than centra! cities in MSAs
The 1994 crime rates are the ratios of the aggregated
1994 crime volumes and the aggregated 1994 popula-
tions of the contributing agencies Population statistics
represent 1994 estimates for individual agencies See
Appendix III for UCR population breakdowns. Note
that "Suburban and Nonsuburban Cities" arc all munic-
ipal agencies other than central cities in MSAs.
The weapon totals are the aggregate For each murder
victim recorded on the SHRs for calendar year 1994.
The weapon totals are aggregated 1994 totals. Popula-
tion statistics represent 1994 estimates
Offense total and value lost total are computed for all
Index offense categories other than aggravated assault
Percent distribution is derived based on offense total of
each Index offense. Trend statistics are derived based
on agencies with at least 6 common months complete
for 1993 and 1994
Represents an estimation of national reported crime
activity from 1990 to 1994, Aggravated assault is
excluded from Table 7. because if money or properly is
taken in connection with an assault the offense is
robbery.
Represents reported crime activity of individual agen-
cies in cities and towns 10.000 and over in population.
Any comparison of UCR statistics should take into
consideration demographic factors
Represents reported crime from those individual
university/college law enforcement agencies contribut-
ing to the UCR Program. These agencies are listed
alphabetically by state. Any comparison of these UCR
Statistics should take into consideration size of enroll-
ment, number of on-campus residents, and other demo-
graphic factors.
Represents crime reported to individual law enforce-
ment agencies in suburban counties, i.e.. the individual
sheriff's office, county police department, highway
patrol, and/or state police. These figures do not repre-
sent the county totals since they exclude city crime
counts. Any comparison of UCR statistics should take
into consideration demographic factors
Represents crime reported to individual rural county
law enforcement agencies covering populations 25.000
and over, le. the individual sheriffs office, county
police department, highway patrol, and/or state police.
These figures do not represent the county totals since
the> exclude ciiv crime counts. Any comparison of
UCR statistics should take into consideration demo-
graphic factors.
Slight decrease in national coverage for Table 15 due to
editing procedure and lower submission rale.
The forcible rape figures furnished by the Illinois state-
level UCR Program were noi in accordance with
national guidelines. For inclusion in these tables, the
Illinois forcible rape figures were estimated by using
the national rales for each population group applied to
the population by group for Illinois agencies supplying
all 1 2 months of data. Slight decrease in national cover-
age for Table 19 due to editing procedure and lower
submission rale.
The SHR is the monthly report form concerning homi-
cides. It details victim and offender characteristics, cir-
cumstances, weapons used, etc.
Aggravated assault is excluded from Table 23. For UCR
Program purposes, the taking of money or property in
connection with an assault is reported as robbery.
380
(1)
(2)
(3)
(41
Table
Data Base
Table Construction
General Comments
25-28
All law enforcement agencies submitting complete
reports for at least 6 months in 1994
The 1994 clearance rates are based on offense and
clearance volume totals of the contributing agencies for
1994. Population statistics represent 1994 estimates.
See Appendix III for UCR population breakdowns
29
All law enforcement agencies in the UCR Program
i including those submitting less than 12 months in
1994).
The arrest totals presented are national estimates based
on the arrest statistics of all law enforcement agencies
in the UCR Program (including those submitting less
than 12 months). The "Total Estimated Arrests" statis-
tic is the sum of estimated arrest volumes for each of
the 29 offenses. Each individual arrest total is the sum
of the estimated volumes within each of the eight popu-
lation groups (App. III). Each group's estimate is the
reported volume (as shown in Table 26) divided by the
percent of total group population reporting (according
to 1994 Bureau of the Census provisional estimates; see
App HI)
30,31
All law enforcement agencies submitting complete
reports for 12 months in 1994.
The 1994 arrest rates are the ratios, per 100,000 inhabi-
tants, of the aggregated 1994 reported arrest statistics
and population. The population statistics represent
July 1, 1994, estimates. See Appendix III for UCR
population classifications/geographical configuration
32.33
All law enforcement agencies submitting complete
reports for 12 months in 1985 and 1994.
The arrest trends are the percentage differences
between 1985 and 1994 arrest volumes aggregated from
all common agencies Population statistics represent
July 1, 1994, estimates (see App III)
34,35
All law enforcement agencies submitting complete
reports for 12 months in 1990 and 1994.
The arrest trends are the percentage differences be-
tween 1990 and 1994 arrest volumes aggregated from
common agencies. Population statistics represent 1994
estimates (see App III)
36.37
All law enforcement agencies submitting complete
reports for 12 months in 1993 and 1994.
The arrest trends are 2-year comparisons between 1993
and 1994 arrest volumes aggregated from common
agencies. Population statistics represent 1994 estimates
(see App. III).
38-43
All law enforcement agencies submitting complete
reports for 12 months in 1994.
Slight decrease in coverage for Table 43 due to
procedure and lower submission of race data.
editing
44.45
All city law enforcement agencies submitting complete
reports for 12 months in 1993 and 1994.
The 1994 city arrest trends represent the percentage
differences between 1993 and 1994 arrest volumes
aggregated from common city agencies. "City Agen-
cies" are defined to be all agencies within Population
Groups [-V1 (App 111)
46-49
All city law enforcement agencies submitting complete
"City Agencies" are defined as agencies within Popu-
Slight decrease in coverage for Table 49 due to editing
reports for 12 months in 1993 and 1994.
lation Groups I-VI (App. III).
procedure and lower submission of race data.
50,5 1
All suburban county law enforcement agencies submit-
ting complete reports for 12 months in 1993 and 1994.
The 1994 suburban county arrest trends represent per-
centage differences between 1993 and 1994 volumes
aggregated from contributing agencies. "Suburban
Counties" are defined as the areas, covered by noncity
agencies within an MSA (App. 111).
52-55
All suburban county law enforcement agencies submit-
"Suburban Counties" are defined as the areas covered
Slight decrease in coverage for Table 55 due to
editing
ting complete reports for 12 months m 1994
by noncity agencies within an MSA (App. III).
procedure and lower submission of race data.
56,57
All rural county law enforcement agencies submitting
complete reports for 12 months in 1993 and 1994.
The 1994 rural county arrest trends represent percent-
age differences between 1993 and 1994 volumes aggre-
gated from contributing agencies. "Rural Counties" are
defined as noncity agencies outside MSAs (App. III).
58-61
All rural county law enforcement agencies submitting
"Rural Counties" are defined as noncity agencies out-
Slight decrease in coverage for Table 61 due to
editing
complete reports for 12 months in 1994,
side MSAs (App. III).
procedure and lower submission of race data.
381
(1)
Table
(2)
Data Base
(3)
Table Construction
141
General Comments
62,63
All suburban area law enforcement agencies submitting
complete reports for 12 months in 1993 and 1994.
The 1994 suburban area arrest trends represent percent-
age differences between 1993 and 1994 arrest volumes
aggregated from contributing agencies. "Suburban
Area" is defined as cities with fewer than 50.000 inhab-
itants and all counties within MSAs (App III)
64-67
All suburban area law enforcement agencies submitting
complete reports for 12 months in 1994.
'"Suburban Area" is defined as cities with fewer than
50,000 inhabitants and all counties within MSAs (App.
Ill)
Slight decrease in coverage for Table 67 due to editing
procedure and lower submission of race dala
68
Ail law enforcement agencies submitting complete
reports for 12 months in 1994
Arrest totals are aggregated for individual agencies
within each state Population figures represent July 1,
1994, estimates (see App III)
Any comparison of statistics should take into considera-
tion variances in arrest practices, particularly for Part 11
crimes.
69
All law enforcement agencies submitting complete
reports for 12 months in 1994.
Population statistics represent July 1. 1994. estimates
for individual agencies. See Appendix 111 for definitions
of the population classifications presented.
Data furnished are based upon individual state age
definitions for juveniles
382
APPENDIX II
Offenses in Uniform Crime Reporting
Offenses in Uniform Crime Reporting are divided into two
groupings, Part I and Part II. Information on the volume of Part
I offenses known to law enforcement, those cleared by arrest or
exceptional means, and the number of persons arrested is
reported monthly. Only arrest data are reported for Part II
offenses.
The Part I offenses are:
Criminal homicide. — a. Murder and nonnegligent man-
slaughter: the willful (nonnegligent) killing of one human
being by another. Deaths caused by negligence, attempts to kill,
assaults to kill, suicides, accidental deaths, and justifiable
homicides are excluded. Justifiable homicides are limited to:
(1) the killing of a felon by a law enforcement officer in the line
of duty; and (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. While manslaughter by negligence is a
Part I crime, it is not included in the Crime Index.
Forcible rape. — The carnal knowledge of a female forcibly
and against her will. Included are rapes by force and attempts
or assaults to rape. Statutory offenses (no force used — victim
under age of consent) are excluded.
Robbery. — 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.
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. Simple assaults are excluded.
Burglary-breaking or entering. — The unlawful entry of a
structure to commit a felony or a theft. Attempted forcible
entry is included.
Larceny-theft (except motor vehicle theft). — The unlaw-
ful 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 which
is not taken by force and violence or by fraud. Attempted
larcenies are included. Embezzlement, "con" games, forgery,
worthless checks, etc., are excluded.
Motor vehicle theft. — The theft or attempted theft of a
motor vehicle. A motor vehicle is self-propelled and runs on
the surface and not on rails. Specifically excluded from this
category are motorboats, construction equipment, airplanes,
and farming equipment.
Arson. — Any willful or malicious burning or attempt to
burn, with or without intent to defraud, a dwelling house,
public building, motor vehicle or aircraft, personal property of
another, etc.
The Part II offenses are:
Other assaults (simple). — Assaults and attempted assaults
where no weapon is used and which do not result in serious or
aggravated injury to the victim.
Forgery and counterfeiting. — Making, altering, uttering,
or possessing, with intent to defraud, anything false in the
semblance of that which is true. Attempts are included.
Fraud. — Fraudulent conversion and obtaining money or
property by false pretenses. Included are confidence games and
bad checks, except forgeries and counterfeiting.
Embezzlement. — Misappropriation or misapplication of
money or property entrusted to one's care, custody, or control.
Stolen property; buying, receiving, possessing. — Buying,
receiving, and possessing stolen property, including attempts.
Vandalism. — Willful or malicious destruction, injury, dis-
figurement, or defacement of any public or private property,
real or personal, without consent of the owner or persons
having custody or control.
Weapons; carrying, possessing, etc. — All violations of reg-
ulations or statutes controlling the carrying, using, possessing,
furnishing, and manufacturing of deadly weapons or silencers.
Included are attempts.
Prostitution and commercialized vice. — Sex offenses of a
commercialized nature, such as prostitution, keeping a bawdy
house, procuring, or transporting women for immoral pur-
poses. Attempts are included.
Sex offenses (except forcible rape, prostitution, and com-
mercialized vice). — Statutory rape and offenses against chas-
tity, common decency, morals, and the like. Attempts are
included.
Drug abuse violations. — State and/or local offenses relating
to the unlawful possession, sale, use, growing, and manufactur-
ing of narcotic drugs. The following drug categories are spe-
cified: 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. — Promoting, permitting, or engaging in illegal
gambling.
Offenses against the family and children. — Nonsupport,
neglect, desertion, or abuse of family and children.
383
Driving under the influence. — Driving or operating any
vehicle or common carrier while drunk or under the influence
of liquor or narcotics.
Liquor laws. — State and/or local liquor law violations,
except "drunkenness" and "driving under the influence." Fed-
eral violations are excluded.
Drunkenness. — Offenses relating to drunkenness or intox-
ication. Excluded is "driving under the influence."
Disorderly conduct. — Breach of the peace.
Vagrancy. — Vagabondage, begging, loitering, etc.
All other offenses. — All violations of state and/or local
laws, except those listed above and traffic offenses.
Suspicion. — No specific offense; suspect released without
formal charges being placed.
Curfew and loitering laws (persons under age 18). —
Offenses relating to violations of local curfew or loitering
ordinances where such laws exist.
Runaways (persons under age 18). — Limited to juveniles
taken into protective custody under provisions of local statutes.
384
APPENDIX III
Uniform Crime Reporting Area Definitions
The presentation of statistics by reporting area facilitates
analyzing local crime counts in conjunction with those for
areas of similar geographical location or population size. Geo-
graphically, the United States is divisible by regions, divisions,
and states. Further breakdowns rely on population figures and
proximity to metropolitan areas. As a general rule, sheriffs,
county police, and state police report crimes committed within
the limits of counties but outside cities, while local police
report crimes committed within the city limits.
Community Types
UCR data are often presented in aggregations representing
three types of communities:
1. Metropolitan Statistical Areas (MSAs) — Each MSA
includes a central city of at least 50,000 people or an urbanized
area of at least 50,000. The county containing the central city
and other contiguous counties having strong economic and
social ties to the central city and county are also included.
Counties in an MSA are designated "suburban" for UCR
purposes. An MSA may cross state lines. The MSA concept
facilitates the analysis and presentation of uniform statistical
data on metropolitan areas by establishing reporting units
which represent major population centers. Due to changes in
the geographic composition of MSAs, no year-to-year compar-
isons of data for those areas should be attempted.
New England MSAs are comprised of cities and towns
instead of counties. In this publication's tabular presentations,
New England cities and towns are assigned to the proper
MSAs. Some counties, however, have both suburban and rural
portions. Data for state police and sheriffs in those jurisdictions
are included in statistics for the rural areas.
MSAs made up approximately 80 percent of the total U.S.
population in 1994. Some presentations in this book refer to
"suburban area." A suburban area includes cities with less
than 50,000 inhabitants in addition to counties (unincorporated
areas) within the MSA. The central cities are, of course,
excluded. The concept of suburban area is especially important
because of the particular crime conditions which exist in the
communities surrounding the Nation's largest cities.
2. Cities Outside MSAs — Cities outside MSAs are mostly
incorporated. They comprised 8 percent of the 1994 population
of the United States.
3. Rural Counties Outside MSAs — Rural counties are
comprised of mostly unincorporated areas. Law enforcement
agencies in rural counties cover areas that are not under the
jurisdiction of city police departments. Rural county law en-
forcement agencies served 12 percent of the national popula-
tion in 1994.
The following is an illustration of the community types:
MSA
NON-MSA
CITIES
CENTRAL
CITIES
50,000 AND
OVER
CITIES
OUTSIDE
METROPOLITAN
SUBURBAN
CITIES
AREAS
COUNTIES
(including
unincorporated
areas)
SUBURBAN
COUNTIES
RURAL
COUNTIES
Population Groups
The population group classifications used by the UCR Pro-
gram are:
Population Group Political Population
Label Range
I City 250,000 and over
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 Less than 10,000
VIII (Rural County) County2 N/A
IX (Suburban County) . . . County2 N/A
'Includes universities and colleges io which no population is attributed
includes state police to which no population is attributed.
The major source of UCR data is the individual law enforce-
ment agency. The number of agencies included in each
population group will vary slightly from year to year due to
population growth, geopolitical consolidation, municipal
385
incorporation, etc. Population figures for individual jurisdic-
tions are estimated by the UCR Program in noncensus years. In
this edition, the state and national population figures used are
1994 Bureau of the Census provisional estimates. Population
figures for individual jurisdictions were updated by applying
1994 state growth rates to 1993 city and county estimates. The
estimate of United States population showed a 1-percent
increase from 1993 to 1994.
The following table shows the number of UCR contributing
agencies within each population group for 1994.
Population Number of Population
Group Agencies Covered
I 66 47,165,230
II 142 20,861,396
III 379 25,884,470
IV 720 24,884,343
V 1,738 27,389,952
VI1 7,962 25,659,140
VIII (Rural County)2 3,630 32,017,953
IX (Suburban County)2 2,01 1 56,478,516
Total3 16,648 260,341,000
'Includes universities and colleges to which no population is attributed.
•'Includes state police to which no population is attributed
3Because of Bureau of the Census rounding, the population covered does not add to total.
Regions and Divisions
As shown in the accompanying map, the United States is
comprised of four regions: the Northeastern States, the Mid-
western States, the Southern States, and the Western States.
These regions are further divided into nine divisions. The
following table delineates the regional, divisional, and state
configuration of the country.
NORTHEASTERN STATES
New England
Middle Atlantic
Connecticut
New Jersey
Maine
New York
Massachusetts
Pennsylvania
New Hampshire
Rhode Island
Vermont
MIDWESTERN STATES
East North Central
West North Central
Illinois
Iowa
Indiana
Kansas
Michigan
Minnesota
Ohio
Missouri
Wisconsin
Nebraska
North Dakota
South Dakota
SOUTHERN STATES
South Atlantic
East South Central
Delaware
Alabama
District of Columbia
Kentucky
Florida
Mississippi
Georgia
Tennessee
Maryland
West South Central
North Carolina
Arkansas
South Carolina
Louisiana
Virginia
Oklahoma
West Virginia
Texas
WESTERN STATES
Mountain
Pacific
Arizona
Alaska
Colorado
California
Idaho
Hawaii
Montana
Oregon
Nevada
Washington
New Mexico
Utah
Wyoming
386
REGIONS
and DIVISIONS
of the UNITED STATES
387
APPENDIX IV
Directory of State Uniform Crime Reporting Programs
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Alabama Criminal Justice Information Center
Suite 350
770 Washington Avenue
Montgomery, Alabama 36130
(334) 242-4900
Uniform Crime Reporting Section
Department of Public Safety Information System
5700 East Tudor Road
Anchorage, Alaska 99507
(907) 269-5659
Department of Public Safety
Post Office Box 1086
Pago Pago
American Samoa 96799
(684) 633-1111
Uniform Crime Reporting
Arizona Department of Public Safety
Post Office Box 6638
Phoenix, Arizona 85005
(602) 223-2263
Arkansas Crime Information Center
One Capitol Mall, 4D-200
Little Rock, Arkansas 72201
(501) 682-2222
Law Enforcement Information Center
Department of Justice
Post Office Box 903427
Sacramento, California 94203-4270
(916) 227-3551
Uniform Crime Reporting
Colorado Bureau of Investigation
690 Kipling Street
Denver, Colorado 80215
(303) 239-4300
Uniform Crime Reporting Program
Post Office Box 2794
Middletown, Connecticut 06457-9294
(203) 685-8030
State Bureau of Identification
Post Office Box 430
Dover, Delaware 19903
(302) 739-5875
388
District of Columbia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Iowa
Kansas
Information Services Division
Metropolitan Police Department
Room 5054
300 Indiana Avenue, Northwest
Washington, DG. 20001
(202) 727-4301
Uniform Crime Reports Section
Florida Crime Information Center Bureau
Post Office Box 1489
Tallahassee, Florida 32302-1489
(904)487-1179
Georgia Crime Information Center
Georgia Bureau of Investigation
Post Office Box 370748
Decatur, Georgia 30037
(404) 244-2840
Guam Police Department
Planning, Research and Development
Pedro's Plaza
287 West O'Brien Drive
Agana, Guam 96910
(671) 472-8911 x 418
Uniform Crime Reporting Program
Crime Prevention Division
Department of the Attorney General
Suite 701
810 Richards Street
Honolulu, Hawaii 96813
(808) 586-1416
Criminal Identification Bureau
Department of Law Enforcement
Post Office Box 700
Meridian, Idaho 83680
(208) 884-7156
Uniform Crime Reporting Program
Bureau of Identification
Illinois State Police
726 South College Street
Springfield, Illinois 62704
(217) 782-8263
Iowa Department of Public Safety
Wallace State Office Building
Des Moines, Iowa 50319
(515) 281-8422
Kansas Bureau of Investigation
1620 Southwest Tyler Street
Topeka, Kansas 66612
(913) 296-8200
389
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Montana
Nebraska
Information Services Branch
Kentucky State Police
1250 Louisville Road
Frankfort, Kentucky 40601
(502) 227-8783
Louisiana Commission on
Law Enforcement
7th Floor
1885 Wooddale Boulevard
Baton Rouge, Louisiana 70806
(504) 925-4440
Uniform Crime Reporting Division
Maine State Police
Station #42
36 Hospital Street
Augusta, Maine 04333
(207) 624-7004
Central Records Division
Maryland State Police Department
1711 Belmont Avenue
Baltimore, Maryland 21244
(410) 298-3883
Crime Reporting Unit
Massachusetts State Police
470 Worcester Road
Framingham, Massachusetts 01701
(508) 820-2110
Uniform Crime Reporting Section
Michigan State Police
7150 Harris Drive
Lansing, Michigan 48913
(517) 322-1150
Office of Information Systems Management
Minnesota Department of Public Safety
Suite 100-H, Town Square
444 Cedar Street
St. Paul, Minnesota 55101
(612) 296-7589
Montana Board of Crime Control
303 North Roberts
Helena, Montana 59620
(406) 444-3604
Uniform Crime Reporting Section
The Nebraska Commission on Law
Enforcement and Criminal Justice
Post Office Box 94946
Lincoln, Nebraska 68509
(402) 471-3982
390
Nevada
New Hampshire
New Jersey
New York
North Carolina
North Dakota
Oklahoma
Oregon
Pennsylvania
Criminal Information Services
Nevada Highway Patrol
555 Wright Way
Carson City, Nevada 897 1 1
(702) 687-5713
Uniform Crime Report
Division of State Police
10 Hazen Drive
Concord, New Hampshire 03350
(603) 271-2509
Uniform Crime Reporting
Division of State Police
Post Office Box 7068
West Trenton, New Jersey 08628-0068
(609) 882-2000 x 2392
Statistical Services
New York State Division of Criminal
Justice Services
8th Floor, Mail Room
Executive Park Tower Building
Stuyvesant Plaza
Albany, New York 12203
(518)457-8381
Crime Reporting and Field Services
Division of Criminal Information
State Bureau of Investigation
407 North Blount Street
Raleigh, North Carolina 27601
(919) 733-3171
Information Services Section
Bureau of Criminal Investigation
Attorney General's Office
Post Office Box 1054
Bismarck, North Dakota 58502
(701) 328-5500
Uniform Crime Reporting Section
Oklahoma State Bureau of Investigation
Suite 300
6600 North Harvey
Oklahoma City, Oklahoma 73116
(405) 848-6724
Law Enforcement Data Systems Division
Oregon Department of State Police
400 Public Service Building
Salem, Oregon 97310
(503) 378-3057
Bureau of Research and Development
Pennsylvania State Police
1800 Elmerton Avenue
Harrisburg, Pennsylvania 17110
(717) 783-5536
391
Puerto Rico
Rhode Island
South Carolina
South Dakota
Texas
Utah
Vermont
Virginia
Virgin Islands
Washington
Puerto Rico Police
Post Office Box 70166
Puerto Nuevo Hato Rey
San Juan, Puerto Rico 00936
(809) 782-1540
Rhode Island State Police
Post Office Box 185
North Scituate, Rhode Island 02857
(401)444-1120
South Carolina Law Enforcement Division
Post Office Box 21398
Columbia, South Carolina 29221-1398
(803) 896-7162
South Dakota Statistical Analysis Center
500 East Capitol Avenue
Pierre, South Dakota 57501
(605)773-6310
Uniform Crime Reporting Bureau
Crime Records Division
Texas Department of Public Safety
Post Office Box 4143
Austin, Texas 78765-4143
(512)465-2091
Uniform Crime Reporting
Bureau of Criminal Identification
Utah Department of Public Safety
4501 South 2700 West
Salt Lake City, Utah 84119
(801) 965-4445
Vermont Crime Information Center
Post Office Box 189
Waterbury, Vermont 05676
(802) 244-8786
Records Management Division
Department of State Police
Post Office Box 27472
Richmond, Virginia 23261-7472
(804) 674-2023
Records Bureau
Department of Public Safety
Post Office Box 210
Charlotte Amalie
Saint Thomas, Virgin Islands 00801
(809) 774-2211
Uniform Crime Reporting Program
Washington Association of Sheriffs and
Police Chiefs
Post Office Box 826
Olympia, Washington 98507
(360) 586-3221
392
West Virginia Uniform Crime Reporting Program
West Virginia State Police
725 Jefferson Road
South Charleston, West Virginia 25309
(304) 746-2267
Wisconsin Office of Justice Assistance
2nd Floor
222 State Street
Madison, Wisconsin 53703
(608) 266-3323
Wyoming Uniform Crime Reporting
Criminal Records Section
Division of Criminal Investigation
316 West 22nd Street
Cheyenne, Wyoming 82002
(307) 777-7625
393
APPENDIX V
National Uniform Crime Reporting Program Directory
Administration (202) 324-2608
Program administration; management; policy
Information Dissemination (202) 324-5015
Requests for published and unpublished data; printouts, magnetic tapes, books
Send correspondence to: Uniform Crime Reports
Criminal Justice Information Services Division
FBI/GRB
Washington, D.C. 20535
Training/Education (202) 324-2614
Requests for training of law enforcement; information on police reporting systems; technical assistance
Statistical Analysis/Processing (202) 324-3821
Statistical models; special studies and analyses; crime forecasting; processing of summary and
incident-based reports from data contributors; reporting problems; requests for reporting forms;
data processing; data quality
394
APPENDIX VI
Uniform Crime Reporting Publications List
Crime in the United States (annual)
Law Enforcement Officers Killed and Assaulted (annual)
Hate Crime Statistics (annual)
Killed in the Line of Duty: A Study of Selected Felonious Killings of Law Enforcement Officers (special report)
UCR Preliminary Release, January-June (semiannual)
UCR Preliminary Annual Report (semiannual)
Uniform Crime Reporting Handbook:
Summary System
National Incident-Based Reporting System (NIBRS)
NIBRS:
Volume 1 — Data Collection Guidelines
Volume 2 — Data Submission Specifications
Volume 3 — Approaches to Implementing an Incident-Based Reporting (IBR) System
Volume 4 — Error Message Manual
Supplemental Guidelines for Federal Participation
Manual of Law Enforcement Records
Hate Crime:
Hate Crime Data Collection Guidelines
Training Guide for Hate Crime Data Collection
Hate Crime Statistics, 1990: A Resource Book
Age-Specific Arrest Rates and Race-Specific Arrest Rates for Selected Offenses
Population-at-Risk Rates and Selected Crime Indicators
Periodic Press Releases:
Crime Trends (semiannual)
Law Enforcement Officers Killed (semiannual)
Hate Crime (annual)
395
Evaluation Form For
Crime in the United States - 1994
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