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CRIME IN THE UNITED STATES
1992
Uniform Crime Reports
i
Uniform
Crime
Reports
for the United States
mi
I SUMMARY I
I CRIME INDEX |
I CRIMES CLEARED |
OCT 2 1 1993
"<nUPWW«nrrr»«?Pi;jljC»nrr«i::o;!Wr;i!C.v-
I PERSONS ARRESTED |
I NEW PERSPECTIVES ON UCR |
I LAW ENFORCEMENT PERSONNEL J
Printed
A.]srrsruA.i^L7^
Federal Bureau of Investigation
U.S. Department of Justice
Washington, D.C. 20535
A^DX^ISORY:
Committee on Uniform Crime Records
International Association of Chiefs of Police;
Committee on Uniform Crime Reporting
National Sheriffs' Association;
Uniform Crime Reporting Data Providers Advisory Policy Board
I APPENDICES [
For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402
FOREWORD
The Uniform Crime Reporting Program for more than 60 years has
supplied our Nation with an overview of crime experience. Though recent
enhancements to the Program will provide the law enforcement community
more comprehensive data, more resources and innovative approaches are
needed to address criminality.
We at the FBI, after assessing our internal structure in order to provide the
best service possible to the criminal justice community, have incorporated our
criminal justice services and associated information systems into a single
organizational division. The consolidation of systems within one entity will
ensure that efforts are properly coordinated and that the Bureau is responsive
to the needs of our partners in law enforcement and our entire user community
including the American public, the media, legislators, and others who have an
interest in criminal justice issues.
With this concept in mind, the Criminal Justice Information Services
(CJIS) Division was created. Effective June 1992, CJIS was composed of the
Integrated Automated Fingerprint Identification System (lAFIS), National
Crime Information Center (NCIC), and the Uniform Crime Reporting (UCR)
Program. Each of these systems is undergoing revision to meet ever-increasing
informational needs, and their consolidation will allow the elevation of
complex systems development to a higher priority. Even though there will be
interaction among the updated systems, each is being developed
independently. The FBI must ensure they completely integrate in order to
provide the criminal justice community the information services it needs into
the 21st century. In furtherance of this objective, all identification services
provided by the former Identification Division joined CJIS in mid- 1993. With
CJIS, the FBI will provide state-of-the-art identification and information
services to the local, state, Federal, and international criminal justice
community, as well as to other users. As a customer-driven organization, CJIS
will continually seek ways to be quality focused and to meet the ever-changing
needs of law enforcement.
In conjunction with the consolidation of all criminal justice information
systems, the FBI is relocating these functions to a new facility designed
specifically to accommodate the various programs. The facility is under
construction in Clarksburg, West Virginia, with a scheduled completion date
of 1995.
We at the FBI anticipate that with the revitalizing and centralizing of
services will come the ability to have a closer working relationship with the
criminal justice community that will result in more effective law enforcement
services. Just as we at the Federal level must face increasing budget constraints,
so must law enforcement agencies at other levels of government. Through close
cooperation, we can best use our available resources to provide the services our
society needs to continue the fight against crime.
Soon the predictability and understanding of crime will be greatly
enhanced through the increased implementation of the National Incident-
Based Reporting System. The modernization currently underway with services
in the operations of NCIC to NCIC 2000 will enhance law enforcement's
ability to respond to lawlessness. Also through lAFIS, the FBI will be able to
provide, through computerization, timely identification services in a virtually
paperless environment.
With these new and innovative resources, we in law enforcement will be
better able to meet the ever-increasing demands of our profession. It is our
vision for CJIS to provide the best information services to the criminal justice
community and our citizenry nationwide.
lU
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.
The National League of Cities provides 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. More detailed information can, of
course, be obtained from a city's or county's chamber of commerce, planning/information office, or other
similar entity.
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, such
as "sting operations," 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,
correctional, and probational).
Citizens' attitudes toward crime.
Crime reporting practices of the citizenry.
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. Appendix IV, "The Nation's Two Crime Measures,"
contains a detailed description of the NCVS and UCR.
VI
CONTENTS
Page
Section I — Summary of the Uniform Crime Reporting Program 1-3
Section II — Crime Index Offenses Reported 4-20S
Narrative comments:
Crime Index Total 5-9
Violent Crime: 10-12
Murder and nonnegligent manslaughter 1 3-22
Forcible rape 23-25
Robbery 26-30
Aggravated assault 3 1-34
Property Crime: 35-37
Burglary 38-42
Larceny-theft 43-48
Motor vehicle theft 49-52
Arson 53-56
Crime Index Tabulations 57
Charts:
Crime clock, 1992 4
Crime Index total, variation from monthly average 7
Crime Index total, 1988-1992 7
Crime Index offenses, percent distribution, 1992 8
Regional violent and property crime rates, 1992 9
Violent crime, variation from monthly average 12
Violent crime, 1988-1992 12
Murder, variation from monthly average 15
Murder, 1988-1992 15
Forcible rape, variation from monthly average 25
Forcible rape, 1988-1992 25
jRobbery, variation from monthly average 28
(Robbery, 1988-1992 28
I Robbery analysis, 1988-1992 30
Aggravated assault, variation from monthly average 33
Aggravated assault, 1988-1992 33
Property crime, variation from monthly average 37
Property crime, 1988-1992 37
Burglary, variation from monthly average 40
Burglary, 1988-1992 40
Burglary analysis, 1988-1992 41
Larceny-theft, variation from monthly average 45
Larceny-theft, 1988-1992 45
Larceny analysis, 1988-1992 46
Larceny analysis, 1 992 47
Motor vehicle theft, variation from monthly average 51
Motor vehicle theft, 1988-1992 51
VII
Page
Tables:
Crime Index total by month, percent of annual total, 1988-1992 6
Violent crime total by month, percent of annual total, 1988-1992 11
Murder:
By month, percent of annual total, 1988-1992 14
Age, sex, and race of victims, 1992 16
Age, sex, and race of offenders, 1 992 16
Victim/offender relationship by age, 1992 17
Victim/offender relationship by race and sex, 1992 17
Type of weapons used, 1 992 18
Victims, type of weapons used, 1988-1992 18
Victims — weapons used, 1 992 18
Circumstances by relationship, 1 992 19
Circumstances by weapon, 1 992 20
Circumstances, 1988-1992 21
Circumstances by victim sex, 1992 21
Justifiable homicide by weapon, 1988-1992:
Law enforcement 22
Private citizen 22
Forcible rape, by month, percent of annual total, 1988-1992 24
Robbery:
By month, percent of annual total, 1988-1992 27
Percent distribution, region, 1992 27
Percent distribution, population group, 1992 29
Type of weapons used, 1992 29
Aggravated assault:
By month, percent of annual total, 1988-1992 32
Type of weapons used, 1 992 32
Property crime total by month, percent of annual total 1988-1992 36
Burglary, by month, percent of annual total, 1988-1992 39
Larceny-theft:
By month, percent of annual total, 1988-1992 44
By region, 1992 44
Motor vehicle theft:
By month, percent of annual total, 1988-1992 50
By region, 1992 50
Arson, 1992:
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, 1973-1992 58
United States, 1992 59
Regional offense and population distribution, 1992 59
Region, geographic division, and state, 1991-1992 60-67
State, 1992 68-78
Metropolitan Statistical Areas, 1992 79-106
United States, offense analysis, 1988-1992 107
Number of offenses known to the police, 1992:
Cities and towns 10,000 and over in population 108-157
Universities and colleges 1 58-1 67
Suburban counties 1 69- 1 82
Rural counties 25,000 and over in population 183-189
viii
Page
Tables^ — Continued
Crime trends, offenses known to the police, 1991-1992:
Population group 1 90- 1 9 1
Suburban and nonsuburban cities, population group 192
Suburban and nonsuburban counties, population group 193
Offense breakdown, population group 194-195
Crime rates, offenses known to the police, 1992:
Population group 1 96-1 97
Suburban and nonsuburban cities, population group 198
Suburban and nonsuburban counties, population group 199
Offense breakdown, population group 200-201
Murder, state, type of weapon, 1 992 202
Robbery, state, type of weapon, 1 992 203
Aggravated assault, state, type of weapon, 1 992 204
Offense analysis, 1992, and percent change from 1991 205
Type and value of property stolen and recovered, 1992 205
Section III— Crime Index Offenses Cleared 206-215
Narrative comments 206
Chart:
Crimes cleared by arrest, 1992 207
Tables:
Offenses known and percent cleared by arrest, 1992:
Population group 208-209
Geographic region and division 210-211
Offense breakdown, population group 212-213
Offenses cleared by arrest of persons under 18 years of age, 1992 214-215
Section IV — Persons Arrested 216-282
Narrative comments 21 6-2 1 7
Tables:
Arrests for drug abuse violations, 1992 216
Total estimated arrests. United States, 1992 217
Arrests, number and rate, 1992:
Region 218
Population group 219-220
Total arrest trends:
1983-1992 221
Sex, 1983-1992 222
1988-1992 223
Sex, 1988-1992 224
1991-1992 225
Sex, 1991-1992 226
Total arrests, 1992:
Distribution by age 227-228
Male arrests, distribution by age 229-230
Female arrests, distribution by age 231-232
Of persons under 15, 18, 21, and 25 years of age 233
Distribution by sex 234
Distribution by race 235-237
City arrest trends:
1991-1992 238
Sex, 1991-1992 239
City arrests, 1992:
Distribution by age 240-24 1
Of persons under 15, 18, 21, and 25 years of age 242
ix
Page
Tables — Continued
Distribution by sex 243
Distribution by race 244-246
Suburban county arrest trends:
1991-1992 247
Sex, 1991-1992 248
Suburban county arrests, 1992:
Distribution by age 249-250
Of persons under 15, 18, 21, and 25 years of age 251
Distribution by sex 252
Distribution by race 253-255
Rural county arrest trends:
1991-1992 256
Sex, 1991-1992 257
Rural county arrests, 1992:
Distribution by age 258-259
Of persons under 15, 18, 21, and 25 years of age 260
Distribution by sex 26 1
Distribution by race 262-264
Suburban area arrest trends:
1991-1992 265
Sex, 1991-1992 266
Suburban area arrests, 1992:
Distribution by age 267-268
Of persons under 15, 18, 21, and 25 years of age 269
Distribution by sex 270
Distribution by race 27 1-273
Arrests by state, 1992 274-281
Police disposition of juvenile offenders taken into custody, 1992 282
Section V— New Perspectives on UCR Data 283-288
Narrative comments 283-288
Tables:
Residential burglary rates, region. United States, 1991 283
Percent of households experiencing one or more burglaries, region and time lapse. United States 285
Percent of households experiencing two or more burglaries, region and time lapse. United States 285
Automobile theft rates, region. United States, 1991 287
Percent of one-automobile owners experiencing one or more automobile thefts, region and time lapse,
United States 287
Percent of two-automobile owners experiencing one or more automobile thefts, region and time lapse,
United States 287
Percent of three-automobile owners experiencing one or more automobile thefts, region and
time lapse. United States 287
Charts:
Percent of households experiencing one or more burglaries, region and time lapse
Percent of households experiencing one or more burglaries, rate and time lapse 284
Percent of households experiencing two or more burglaries, region and time lapse 286
Percent of households experiencing two or more burglaries, rate and time lapse 286
Section VI — Law Enforcement Personnel 289-374
Narrative comments 289
Tables:
Full-time law enforcement employees, October 31, 1992:
Employees, number and rate per 1,000 inhabitants, geographic region and division by population
group 290
X
Page
Tables — Continued
Officers, number and rate per 1,000 inhabitants, geographic region and division by population
group 29 1
Employees, range in rate per 1,000 inhabitants 292
Officers, range in rate per 1,000 inhabitants 293
Employees, percent male and female 294
Civilian employees, percent of total, population group 294
State law enforcement agencies 295
States 296
Cities 297-355
Universities and colleges 356-360
Suburban counties 36 1-365
Rural counties 366-374
Section VII — Appendices 375-396
Appendix I — Methodology 375-380
Appendix II — Offenses in Uniform Crime Reporting 381-382
Appendix III — Uniform Crime Reporting Area Definitions 383-385
Appendix IV — The Nation's Two Crime Measures 386-387
Appendix V — Directory of State Uniform Crime Reporting Programs 388-392
Appendix VI — National Uniform Crime Reporting Program Directory 393
Appendix VII — Uniform Crime Reporting Publications List 394
XI
SECTION I
Summary of the Uniform Crime Reporting
Program
The Uniform Crime Reporting (UCR) Program is a
nationwide, cooperative statistical effort of over 16,000
city, county, and state law enforcement agencies volun-
tarily reporting data on crimes brought to their attention.
During 1992, law enforcement agencies active in the UCR
Program represented over 242 million United States
inhabitants or 95 percent of the total population as
established by the Bureau of the Census. The coverage
amounted to 97 percent of the United States population
living in Metropolitan Statistical Areas (MSAs), 90 percent
of the population in cities outside metropolitan areas, and
86 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
generate a reliable set of criminal statistics for use in law
enforcement 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 pur-
poses.
Historical Background
Recognizing a need for national crime statistics, the
International Association of Chiefs of Police (lACP)
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 geographical areas of the
country, and likelihood of being reported to law enforce-
ment. 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
ofTenses included the violent crimes of murder and
nonnegligent manslaughter, forcible 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 problems and provide nation-
wide uniformity in crime reporting, standardized offense
definitions by which law enforcement agencies were to
submit data, without regard for local statutes, were formu-
lated. The definitions used by the Program are set forth in
Appendix II of this publication.
In January, 1930, 400 cities representing 20 million
inhabitants 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 information that same year. The Attorney
General, in turn, designated 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 lACP
and the National Sheriffs' Association (NSA). The lACP's
Committee on Uniform Crime Records, as it has since the
Program began, represents the thousands of police depart-
ments nationwide. The NSA's Committee on Uniform
Crime Reporting, established 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 was established in
August, 1988. The Board is comprised of 20 city, county,
and state law enforcement executives, representing the four
geographic regions of the Nation.
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
disseminated, 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 con-
curred 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
determine what, if any, changes should be made to the
current Program. The third phase would involve imple-
mentation of the changes identified. Abt Associates Inc. of
Cambridge, Massachusetts, 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
Program 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 1 984, 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 conference reviewed work conducted during the first
phase and discussed the potential changes that should be
considered during 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. Overlapping 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 recommendations for revision. The Commit-
tee members, however, endorsed the report's concepts.
In April, 1985, the phase two recommendations were
presented at the eighth National UCR Conference. While
various considerations for the final report were set forth,
the overall concept for the revised Program was unani-
mously approved. The joint lACP/NSA Committee on
UCR also issued a resolution endorsing the Blueprint.
The final report, the "Blueprint for the Future of the
Uniform Crime Reporting Program," was released in the
summer of 1985. It specifically outlined recommendations
for an expanded, improved UCR Program to meet infor-
mational 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 accomplished 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 popula-
tions 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 pro-
gram.
One of the first actions taken by the FBI to begin
implementation was to award a contract for the develop-
ment of new offense definitions and data elements for the
redesigned system. The work involved: (a) revision of the
definitions of certain Index offenses; (b) identification of
additional significant 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 cur-
rent 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 Enforcement Division
(SLED) was chosen. The SLED agreed to adapt its existing
system to meet the requirements of the redesigned Pro-
gram 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
contract were put at the staffs disposal. Also, the FBI's
Technical Services Division 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 needed software
revisions. 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; sec-
ond, 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 imple-
mentation of the new Program.
Information about the redesigned UCR Program, called
the National Incident-Based Reporting System or NIBRS,
is contained in four documents produced subsequent to the
Orange Beach Conference. Volume 1, Data Collection
Guidelines, contains a system overview and description 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 responsible for preparing magnetic
tapes/floppy disks/etc, for submission to the FBI. Volume
3, Approaches to Implementing an Incident-Based Report-
ing (IBR) System, is for use by computer programmers,
analysts, etc., responsible for developing a state or local
IBR system which will meet NIBRS' reporting require-
ments. Volume 4, Error Message Manual, contains desig-
nations of mandatory and optional data elements, data
element edits, and error messages.
A new NIBRS edition of the UCR Handbook has been
produced to assist law enforcement agency data contribu-
tors implementing 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 requirements 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, proper-
ty, 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 byproduct 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 adminis-
trators 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" participa-
tion, meeting all NIBRS data submission requirements.
The implementation of NIBRS will be at a pace com-
mensurate with the resources, abilities, and limitations of
the contributing law enforcement agencies. The FBI was
able to accept NIBRS data as of January, 1989, and six
state-level UCR Programs (Alabama, Colorado, Idaho,
Iowa, North Dakota, and South Carolina) are now supply-
ing data in the NIBRS format. An additional 15 state
agencies, as well as two local law enforcement agencies in
non-Program states and one Federal agency (the FBI), have
submitted test tapes or disks containing the expanded data.
Nineteen other state UCR Programs and agencies in the
District of Columbia and Guam are in various stages of
planning and development, with eight of those expected to
submit test tapes during 1993.
Recent Developments
HATE CRIME STATISTICS— The Hate Crime Statis-
tics Act, passed by the U. S. Congress and signed by the
President in April, 1990, mandates a 5-year data collection
of crimes motivated by religious, ethnic, racial, or sexual-
orientation prejudice. Collection commenced January 1,
1991, and the UCR Program has distributed hate crime
Data Collection Guidelines and Training Guides to city,
county, and state law enforcement agencies. Training
sessions on hate crime reporting procedures have been held
across the Nation for Federal, state, and local law enforce-
ment agencies. A 1990 hate crime Resource Book, which
addresses hate crime data maintained by certain states and
local agencies under their own hate crime programs prior
to passage of the Federal legislation, has been disseminat-
ed. Also released was an initial hate crime report which
provides limited data based on information collected by
the FBI for 1991, the first year of the data collection.
KILLED IN THE LINE OF DUTY— A special report on
officers feloniously killed was published recently and is
available to all interested parties. The study examined
extensively 51 distinct cases involving the felonious kill-
ings of 54 law enforcement officers by 50 offenders to
attempt a better understanding of the nature of these fatal
attacks. A followup study entitled "Violence Against Law
Enforcement Officers" is planned under a grant from the
National Institute of Justice. It will examine selected
incidents of serious assault by cutting instrument or firearm
where the victim officer survived the incident.
UCR JOINS CJIS DIVISION— UCR was administra-
tively reorganized and became part of the Criminal Justice
Information Services (CJIS) Division in 1992. Future
plans include relocation of the CJIS Division to
Clarksburg, West Virginia.
CHART 2.1
CRIME CLOCK
1992
one
VIOLENT CRIME
every 22 seconds
one
MURDER
every 22 minutes
one
FORCIBLE RAPE
every 5 minutes
one
ROBBERY
every 47 seconds
one
AGGRAVATED ASSAULT
every 28 seconds
one
CRIME INDEX OFFENSE
every 2 seconds
one
PROPERTY CRIME
every 3 seconds
one
LARCENY-THEFT
every 4 seconds
The Crime Clock should be viewed with
care. Beins the most agsregate
representation of UCR data, it is desisned
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
MOTOR VEHICLE THEFT
every 20 seconds
SECTION II
Crime Index Offenses Reported
CRIME INDEX TOTAL
I
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.
TRFAin
Rale per 100,000
Year
Number of offenses'
inhabitants'
1991
14.872,883
5,897.8
1992
14.438,191
5.660.2
Percent change
-2.9
-4.0
'Docs not include arson. See page 57.
The Crime Index total dropped 3 percent to nearly 14.5
million offenses in 1992, the first decline recorded since
1984. In the cities collectively and the suburban counties,
the Index was also down 3 percent from 1991, while the
rural counties registered a 1 -percent decrease. This down-
ward trend was evident in all city population groups with
those having a million or more inhabitants showing the
largest decrease, 8 percent. Five- and 10-year percent
changes showed the 1992 national experience was 4
percent above the 1988 level and 19 percent higher than in
1983.
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 24 percent, the
Midwestern States with 21 percent, and the Northeastern
States with 1 7 percent. All regions except the West showed
Crime Index decreases from 1991 to 1992. (See Table 4.)
Seasonality figures show Crime Index offenses occurred
most frequently in the month of August and least often in
February. (See Chart 2.2.)
Table 2.1— Crime Index Total by Month, 1988-1992
[Percent distribution]
Months
January ...
February ..
March
April
May
June
July
August
September
October . . .
November
December .
1988
7.8
7.5
8.1
7.7
8.2
8.3
9.0
9.5
8.6
8.7
8.3
8.5
1989
8.2
7.2
8.2
7.8
8.5
8.5
9.2
9.3
8.4
8.7
8.1
7.9
1990
8.3
7.4
8.2
7.9
8.3
8.3
8.9
9.1
8.4
8.7
8.2
8.6
1991
7.9
7.4
8.1
8.0
8.4
8.5
9.1
9.2
8.4
8.7
8.0
8.3
1992
8.3
7.8
8.2
8.0
8.3
8.4
9.0
9.0
8.4
8.5
8.0
8.1
Rate
Crime rates relate the incidence of crime to population.
Nationwide in 1992, there were an estimated 5,660 Crime
Index offenses for each 100,000 in population. The Crime
Index rate was highest in metropolitan areas and lowest in
rural counties. (See Table 2.) While the national 1992
Crime Index rate fell 4 percent from 1991, it showed
virtually no change from the 1988 level and was 9 percent
above the 1983 total.
Regionally, the Crime Index rates ranged from 6,388 in
the West to 4,837 in the Northeast. The 2-year percent
changes (1992 versus 1991) showed declines in all regions.
(See Table 4.)
Nature
The Crime Index is composed of violent and property
crime categories, and in 1992, 13 percent of the Index
offenses reported to law enforcement were violent crimes
and 87 percent, 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 $ 1 5.8 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 enforce-
ment agencies nationwide recorded a 36-percent recovery
rate for dollar losses in connection with stolen property.
The highest recovery percentages were for stolen motor
vehicles, consumable goods, livestock, 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 1992 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 en-
forcement 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 1992, the
clearance rates in both 1988 and 1983 were 21 percent.
Total Crime Index arrests, as well as those of adults,
dropped 2 percent in 1992 when compared to 1991.
During the same time period, juvenile (persons under 18)
arrests for the Index were up 1 percent, and those of
persons under age 1 5 increased 2 percent. In fact, juvenile
arrests increased over 1 99 1 for all offenses except burglary
and motor vehicle theft, for which arrest volumes were
down 1 and 4 percent, respectively. Adult arrests declined
for all offenses with the exception of aggravated assault
which showed a 4-percent increase, 1992 versus 1991.
Considering the individual offenses composing the In-
dex, only aggravated assault and arson showed increases in
arrest totals from 1991 to 1992. Decreases for the remain-
ing Index offenses ranged from 1 percent for forcible rape
to 5 percent for murder.
As in past years, larceny-theft arrests accounted for the
highest volume of Crime Index arrests at 1.5 million. (See
Table 29.)
CRIME INDEX
Percent
20
CHART 2.2
VARIATION FROM MONTHLY AVERAGE
1992
15
10
5
O
-5
-10
-15
Percent
14
CHART 2.3
PERCENT CHANGE from 1988
1988
1989
1990
1991
1992
Number of Offenses
Known - Up 4%
Rate per 100,000
Inhabitants -
No Change
CHART 2.4
CRIME INDEX OFFENSES
1992
Percent Distribution
Robbery Agsravated
4.7%
Assault
Burglary
20.6%
Forcible
Rape
.8%
Murder
>.2%
Motor
Vehicle
Theft
11.1%-
Larceny-Theft
54.8%
CHART 2.5
REGIONAL VIOLENT
AND PROPERTY CRIME RATES
1992
per 1 00,000 inhabitants
fKK/l{ Violent Crime Rate
^^1 Property Crime Rate
VIOLENT CRIME TOTAL
DEFINITION
Violent crime is composed of four offenses: murder and nonnegligent manslaugh-
ter, forcible rape, robbery, and aggravated assault. All violent crimes involve force or
threat of force.
TREND
Year Number of offenses
1991 1.911.767
1992 1,932.274
Percent change +7.7
Rate per 100.000
inhabitants
758.1
757.5
-.1
10
Violent crimes reported to law enforcement during 1992
exceeded 1.9 million otTenses, increasing 1 percent over
1991. The annual estimated total was 23 percent above the
1988 level, and 54 percent above that of 1983. From 1991
to 1992, rural and suburban counties recorded increases of
6 and 2 percent, respectively, while the Nation's cities
collectively recorded less than a 1 -percent increase.
Regionally, the South, the most populous region, ac-
counted for 37 percent of all violent crimes reported in
1992. Lesser volumes of 25 percent for the West and 19
percent for both the Northeast and Midwest were recorded.
Two of the four regions registered increases in the numbers
of violent crimes reported from 1991 to 1992. The Western
States experienced a 5-percent increase and the Southern
States, a 3-percent rise. In the Northeastern and Midwest-
em States, declines of 2 and 3 percent, respectively, were
recorded. (See Table 4.)
Violent crimes occur more frequently in the summer
months, while the lowest totals are experienced during the
winter. (See Chart 2.6.)
Table 2.2— Violent Crime Total by Month, 1988-1992
[Percent dislribution]
Months
Januar>' ...
FebtMarj' ..
March
April
May
June
July
August
September
October . . .
November
December .
1988
7.7
7.3
7.9
7.7
8.4
8.4
9.3
9.4
8.9
8.7
8.0
8.3
1989
8.0
6.9
7.9
7.9
8.4
8.4
9.2
9.0
8.8
9.1
8.4
8.2
1990
7.9
6.9
7.8
7.8
8.5
8.8
9.5
9.1
8.8
8.5
7.9
8.4
1991
7.6
7.0
7.8
7.8
8.6
8.7
9.2
9.5
8.8
8.8
8.0
8.2
1992
8.0
7.6
8.1
8.3
8.7
8.5
9.0
8.9
8.5
8.6
7.8
8.0
Rate
A violent crime rate of 758 per 100,000 inhabitants was
registered nationwide in 1992. Two-, 5-, and 10-year trends
showed the 1992 rate was virtually the same as the 1991
rate but was 19 percent above the 1988 rate and 41 percent
above the 1983 figure. The violent crime rate was highest
in the Nation's cities, which collectively registered 999
offenses per 100,000 population. The suburban counties'
rate was 476, and for rural counties, it was 226.
The Western States registered the highest overall violent
crime rate per 100,000 inhabitants, 864, and the Midwest-
ern States the lowest, 607. Among the geographic regions,
both the Northeast and Midwest experienced rate declines,
3 and 4 percent, respectively. The increases in the other
regions were 3 percent in the West and 1 percent in the
South. (See Table 4.)
Nature
Aggravated assaults accounted for 58 percent of the
violent crimes reported to law enforcement during 1992.
Robberies comprised 35 percent; forcible rapes, 6 percent;
and murders, 1 percent.
While data concerning weapons used in connection with
forcible rape are not collected, firearms were the weapons
used in 3 1 percent of all murders, robberies, and aggravat-
ed assaults, collectively, in 1992. Personal weapons (hands,
fists, feet, etc.) were used in another 31 percent; knives or
cutting instruments were used in 15 percent; and other
dangerous weapons in 23 percent. The proportion of
violent crimes committed with firearms has increased in
recent years. In 1988, firearms were employed in the
commission of 26 percent of violent offenses.
Law Enforcement Response
The 1992 violent crime clearance rate was 45 percent,
the same as in 1991. Among the violent offenses, the
clearance rates ranged from 65 percent for murder to 24
percent for robbery.
There were an estimated 742,130 persons arrested for
violent crimes in 1992. Violent crime arrests accounted for
5 percent of the total arrests for all offenses and 26 percent
of those for Index crimes. Males made up 88 percent of all
violent crime arrestees and whites, 54 percent. (See Tables
42 and 43.)
Total arrests for violent crimes rose 2 percent from 1 99 1
to 1992. Adult arrests also showed a 2-percent increase,
while juvenile arrests (under age 18) increased 5 percent.
Overall violent crime arrests were up 2 percent in the
Nation's cities, 1 percent in suburban counties, and 7
percent in rural counties from 1991 to 1992. (See Section
IV, Persons Arrested.)
11
VIOLENT CRIME
CHART 2.6
VARIATION FROM MONTHLY AVERAGE
1992
Percent
30
1988
CHART 2.7
PERCENT CHANGE from 1988
Number of Offenses
Known - Up 23%
Rate per 100,000
Inhabitants -Up 19%
1989
1990
1991
1992
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.
TRFMn
Rate per 100,000
Year
Number of offenses
inhabitants
1991
24.703
9.8
1992
23.760
9.3
Percent change
-3.8
-5.1
13
The total number of murders in the United States during
1992 was estimated at 23,760. Monthly figures show that
more persons were murdered in August in 1992, while the
fewest were killed during February. (See Chart 2.8.)
Table 2.3— Murder by Month, 1988-1992
[Percent distribution)
Months
January ...
February ..
March
April
May
June
July
August
September
October . . ,
November
December .
1988
8.2
7.2
7.7
7.7
7.8
7.7
8.9
9.5
8.9
8.9
8.2
9.2
1989
8.1
7.1
7.8
7.9
7.8
8.2
9.1
9.0
8.8
8.9
8.5
8.7
1990
7.9
7.0
8.0
7.4
8.1
8.4
9.6
9.3
9.2
8.8
7.6
1991
8.0
7.0
7.7
7.8
8.1
8.6
9.1
9.4
8.8
8.6
7.8
9.0
1992
8.1
7.5
8.2
8.0
8.5
7.9
9.1
9.1
8.7
8.0
8.1
When viewing the four regions of the Nation, the
Southern States, the most populous region, accounted for
41 percent of the murders. The Western States reported 23
percent; the Midwestern States, 20 percent; and the
Northeastern States, 1 7 percent. Among the regions, only
the Western States registered an increase from 1991 to
1992, 3 percent. (See Table 4.)
The murder volume was down 4 percent nationwide in
1992 from 1991. In the Nation's cities overall, murder
decreased 5 percent, with the greatest decline — 12 per-
cent— registered in cities with populations of 50,000 to
99,999. The suburban counties recorded a 3-percent drop
in their murder volumes and the rural counties, an 8-
percent decrease for the 2-year period. (See Table 12.)
The accompanying chart reveals a 15-percent rise
nationally in the murder counts from 1988 to 1992. The
10-year trend showed the 1992 total 23 percent above the
1983 level.
Rate
Down 5 percent from the 1 99 1 rate, the national murder
rate in 1992 was 9 per 100,000 inhabitants. Five- and 10-
year trends showed the 1 992 rate was 1 1 percent higher
than in 1988 and 12 percent above the 1983 rate.
On a regional basis, the South averaged 1 1 murders per
100,000 people; the West, 10 per 100,000; and the North-
east and Midwest, 8 per 100,000. Compared to 1991,
murder rates in 1992 declined in three of the four
geographic regions with the only increase in the West, 1
percent. (See Table 4.)
The Nation's metropolitan areas reported a 1992 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.
14
MURDER
Percent
20
CHART 2.8
VARIATION FROM MONTHLY AVERAGE
1992
15
10
5
O
-5
-10
■15
-20
A A A A A
/K
N
U
R
y
F
E
B
R
U
A
R
y
A.
R
C
H
A
P
R
A
y
J
u
N
E
J
U
L
y
A
u
G
u
s
T
S
E
P
T
E
AA
B
E
R
O
C
T
O
B
E
R
N
O
V
E
M
B
E
R
D
E
C
E
M
B
E
R
Percent
25
25
CHART 2.9
PERCENT CHANGE from 1988
15
10
Number of Offenses
Known -Up 15%
Rate per 100,000
Inhabitants -Up 11%
1988
1989
1990
1991
1992
15
Table 2.4— Age, Sex, and Race of Murder Victims, 1992
Total
Sex
Race
Age
Male
Female
Unknown
White
Black
Other
Unknown
Total
22,540
100.0
17,576
78.0
4,936
21.9
28
.1
10,647
47.2
11,175
49.6
548
2.4
170
.8
Under 18'
2,428
19,803
1.748
15,608
679
4,193
1
2
1,103
9.409
1.240
9,820
72
469
13
105
254
408
126
351
2,851
4,181
3,455
3,045
2,231
1,650
1,072
695
449
412
315
262
474
309
137
237
64
230
2,444
3,551
2,749
2,382
1,706
1,262
819
519
356
307
205
159
229
220
116
171
62
121
407
630
706
662
525
388
253
175
93
105
110
103
245
64
'
147
204
60
163
1,114
1,614
1,479
1,420
1,145
858
634
406
281
283
187
177
340
135
99
192
56
171
1,664
2,451
1,891
1,530
1.027
731
396
265
146
120
120
80
121
115
3
12
10
14
60
97
69
76
51
47
35
21
18
6
7
4
11
7
5
I to 4
S to 9
1 0 to 1 4
3
15 to 19
13
20 to 24
19
25 to 29
16
30 to 34
19
35 to 39
8
40 to 44
14
45 to 49
7
50 to 54
3
55 to 59 .
4
60 to 64
3
65 to 69
1
70 to 74
1
2
Unknown
25
52
'Does not Include unknown ages.
Nature
Supplemental data provided by contributing agencies
recorded information for 22,540 of the estimated 23,760
murders in 1992. Submitted monthly, the data consist of
the age, sex, and race of both victims and offenders; the
types of weapons used; the relationships of victims to the
offenders; and the circumstances surrounding the murders.
Table 2.5— Age, Sex, and Race of Murder Offenders, 1992
Total
Sex
Race
Age
Male
Female
Unknown
White
Black
Other
Unknown
Total
25.180
100.0
15.867
63.0
1.696
6.7
7,617
30.3
7,427
29.5
9.497
37.7
401
1.6
7,855
31.2
Under 18'
2.343
14.154
2.178
12.650
150
1.497
15
7
868
6,237
1.389
7.498
58
322
28
18 and over'
97
1 to 4
5 to 9
4
263
4,249
3,929
2,614
1,805
1,262
848
568
319
219
148
115
67
87
8.683
3
228
4.029
3.611
2.335
1.530
1.070
718
494
256
191
129
96
58
80
1.039
1
2
12
2
1
1
1
117
1,493
1,494
1.125
887
631
458
339
186
118
91
64
41
60
322
1
133
2,622
2,339
1,391
873.
589
357
211
122
97
52
50
25
25
610
1
9
100
83
66
37
33
24
13
8
2
3
1
10 to 14
33
208
316
278
274
191
130
73
63
28
19
19
9
6
49
4
15 to 19
34
20 to 24
13
25 to 29
32
30 to 34
8
35 to 39
9
40 to 44
9
45 to 49
'
5
50 to 54
3
55 10 59
2
60 to 64
2
65 to 69
1
70 to 74
1
75 and over
1
7.595
2
Unknown
21
7,730
'Does not include unknown ages.
16
Table 2.6— Victim/OfTender Relationship by Age, 1992
(Single Victim/Single OOender)
Age
Age of Offender
of
Victim
Total
Under 18
18 and over
Unknown
Total
11.250
1.306
9.851
93
1.121
339
779
3
9.621
914
8.640
67
508
Under 18
53
432
23
Based on this information, 78 percent of the murder
victims in 1992 were male; and 88 percent were persons 18
years of age or older. Forty-seven percent were aged 20
through 34 years. Considering victims for whom race was
known, an average of 50 of every 100 were black, 48 were
white, and the remainder were persons of other races.
Supplemental data were also reported for 25,180 murder
offenders in 1992. Of those for whom sex and age were
reported. 90 percent were males, and 86 percent were
persons 1 8 years of age or older. Seventy-six percent were
aged 15 through 34 years. Of offenders for whom race was
known, 55 percent were black, 43 percent were white, and
the remainder were persons of other races.
Data based on incidents involving one victim and one
offender showed that in 1992, 94 percent of the black
murder victims were slain by black offenders, and 83
percent of the white murder victims were killed by white
offenders. Likewise, males were most often slain by males
(87 percent in single victim/single offender situations).
These same data showed, however, that 9 of every 10
female victims were murdered by males.
As in previous years, firearms were the weapons used in
approximately 7 of every 10 murders committed in the
United States. Of those murders for which weapons were
reported, 55 percent were by handguns, 5 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 stab-
bing instruments were employed in 14 percent of the
murders; blunt objects (clubs, hammers, etc.) in 5 percent;
personal weapons (hands, fists, feet, etc.) in another 5
percent; and other dangerous weapons, such as poison,
explosives, etc., in the remainder. 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 Race and Sex', 1992
[Single Victim/Single Offender]
Race of Offender
Sex of Offender
Race of Victim
White
Black
Other
Unknown
Male
Female
Unknown
Total White Victims
4.499
794
55
74
4,828
520
74
Total Black Victims
291
5,164
12
55
4,729
738
55
Total Other Race Victims
65
26
148
3
219
20
3
Total Unknown Race
14
16
1
33
27
4
33
Race of Offender
Sex of Offender
Sex of Victim
White
Black
Other
Unknown
Male
Female
Unknown
Total Male Victims
3.413
4.731
150
100
7,276
1.018
100
Total Female Victims
1,442
1.253
65
32
2.500
260
32
Total Unknown Sex
14
16
1
33
27
4
33
'Data based on 11.250 incidents.
Almost half of the murder victims in 1992 were either
related to (12 percent) or acquainted with (35 percent)
their assailants. Fourteen percent of the victims were
murdered by strangers, while the relationships among
victims and offenders were unknown for 39 percent of the
murders. Among all female murder victims in 1992, 29
percent were slain by husbands or boyfriends. Four percent
of the male victims were killed by wives or girlfriends.
Arguments resulted in 29 percent of the murders during
the year. Twenty-two 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. Three percent of the murders were
committed during brawls while offenders were under the
influence of alcohol or narcotics. Table 2.13 shows murder
circumstances for the past 5 years.
17
Table 2.8— Murder, Type of Weapons Used, 1992
[Percent distribution by region]
Table 2.9-
1988-1992
-Murder Victims, Type of Weapons Used,
Weapons
Region
Total
all
weapons
Firearms
Knives
or
cutting
instni-
menls
Unknown
or other
danger-
ous wea-
pons
Personal
weapons
(hands.
fists, feet,
etc.)
Total
100.0
68.2
14.5
12.3
5.0
Nonheastem States
Midwestern States
100.0
100.0
100.0
100.0
68.1
66.4
69.0
68.3
15.0
15.2
13.8
14.7
10.9
13.4
12.9
11.6
6.0
5.0
4.3
Western States
5.4
Total
Total Firearms
Handguns
Rines
Shotguns
Other guns
Firearms-not stated
Knives or cutting
instruments
Blunt objects (clubs,
hammers, etc.)
Personal weapons (hands,
fists, feet, etc.)'
Poison
Explosives
Fire
Narcotics
Drowning
Strangulation
Asphyxiation
Other weapons or weapons
not stated
1988
17,971
10,895
8,147
753
1,105
15
875
3.457
1,126
1,105
15
34
255
36
38
331
73
606
1989
18,954
11,832
9,013
865
1,173
34
747
3,458
1,128
1,050
II
16
234
17
60
366
101
681
1990
20.273
13,035
10,099
746
1,245
25
920
3,526
1,085
1,119
II
13
288
29
36
312
96
723
1991
21,676
14,373
11,497
745
1,124
30
977
3,430
1,099
1,202
12
16
195
22
40
327
113
847
1992
22,540
15,377
12,489
698
1,104
42
1,044
3,265
1.029
1,121
13
19
203
23
27
313
114
1,036
'Pushed IS included in personal weapons.
Table 2.10— Murder Victims-
Weapons
Used, 1992
Total
Weapons
Age
Fire-
arms
Knives or
cutting
instruments
Blunt objects
(clubs,
hammers,
etc.)
Personal'
weapons
(hands,
fists, feel,
etc.)
Poison
Explosives
Fire
Narcotics
Strangu-
lation
Asphyxia-
tion
Other'
weapon or
weapon
not stated
Total
22,540
iOO.O
15,377
68.2
3,265
14.5
1,029
4.6
1,121
5.0
13
.1
19
203
.9
23
I
313
1.4
114
.5
1,063
Percent
distribution'
4.7
Under 18*
2,428
19,803
1,468
13,739
172
3,064
97
917
378
731
4
9
1
17
52
144
3
20
29
272
53
57
171
18 and over*
833
Infant (under 1)
1 to 4
254
408
126
351
2,851
4,181
3,455
3,045
2,231
1,650
1,072
695
449
412
315
262
474
309
II
61
47
252
2,433
3,377
2,572
2,072
1,467
1,045
661
395
252
207
138
85
132
170
4
19
8
35
230
472
473
535
408
301
197
122
88
82
81
64
117
29
15
41
8
12
40
85
98
125
114
III
64
68
37
51
29
40
76
15
142
187
19
15
34
73
108
109
93
74
47
40
31
29
22
26
60
12
1
3
1
1
2
2
1
1
1
1
25
13
9
10
14
18
19
19
12
12
14
7
4
10
4
5
7
1
4
1
9
3
22
37
46
48
27
20
22
12
7
6
10
II
16
12
20
15
9
6
4
3
9
8
6
3
4
2
I
3
3
4
10
4
55
56
5 to 9
1
12
10 to 14
1
18
15 to 19
2
4
2
1
2
2
1
74
"•0 to ''4
115
25 to 29
4
2
6
123
30 to 34
124
35 to 39
89
40 to 44
80
45 to 49
64
50 to 54
41
55 to 59
2
24
60 to 64
1
1
28
65 to 69
21
70 to 74
28
1
1
5
52
Unknown
59
'Pushed IS included in personal weapons.
includes drownings.
'Because of rounding, percentages may not add to totals.
*Does not include unknown ages.
18
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X
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•^ — OO
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— . m <*i CTvoo----— m
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m
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r-
f*^
(N
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e
s
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m
^
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<N : : : : ■*
Personal
weapons
(hands,
fists,
feet, etc.)
•d-
SO
00
t/-,«/-i(^) — — — f^r-„
— 00 — —
sO
r~
rs| ■# fN sn . . wi o
Blunt
objects
(clubs,
hammers,
etc.)
0^
o
00
0<Nr-r-iM-i(N — ^oo
fN 'O fS <N
g
so
(--■* (N OS OOOn— f^— .<NSO
<N (N — : ■V OO
Knives
or
cutting
instruments
1
OsooorMfNoo oor^— rjO
§
so
OS
— — ■*t m Norr — r^oo.— »r>
■<J O *N Os<^ — m .OsOO
— r*^ ■ rj so
Other
gun or
type not
slated
SO
oo
O
OO
oo
fN r^ so
00
— m
— OS
OS
■^
OO
w-i. r«i OO OO — — >©.«Nr-m
i i
t/5 QO
o
OS
SO
— 00 — r4 —
OO —
. r^ -v ■<s-
so
r-
r-. ^ — oO'<T>ri>n..ov^
m - ■ — rsi
(^
— «0 On rn ■-» —
(*1
(N
•n
r-
■*
fvi. O *n 00<N'«tO.«^'nOs
fs ■ rj — w^ *ri - OS O
" 1
OS
OO
(Noor-— ro— „_Tt— o
so
OS
<*1
O
so'
On— sO OS Osw-.m»/^.NO»C>»/-t
— OO yt> sDr-O'^-rsTr*/^
fS — — <N<N — SO; ""'^
n
§
OO
OO
O
r- ^ O (Nr<-i*N>C-r*^O00
(N (N fsj mo — r~-; w^<N
Total
murder
victims
OO
OO
!—'»« — w-(00 (N^— OO^
— r-i ^^^ — cn so
fN — *
O
00
iAi»£) SO Os — r-r-Ovoom— —
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1
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u
a
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c
o
a
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: t
1.
i ^
; i
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<
:
: T3
■ c .
. n .
: c
■ .2
■ i
i
I
I
h
c
I
s
-
5 7
q
X)
3
3
■ T3
■ 4>
: c:
:i
3 u
1
C
o
T3
1
a ■
c
o
tH
c
u. "(3
O
■ 5 • o
:^s ; s ; i
E T3 - o *' - O
.a = = O 3 a S t
g ■ - 2 o 2 o s? (
0£ U CQ CO <
■ 4
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c
3 c u 2 M
5o5 =<Sc
;
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C
c
D
Table 2.13— Murder Circumstances, 1988-1992
Table 2.14 — Murder Circumstances by Victim Sex, 1992
Total'
Felony type loial:
Rape
Robbery
Burglary
Larceny -theft
Motor vehicle theft
Arson
Prostitution and
commercialized vice . . .
Other sex olTenses
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
Braul 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 number of murder vict
received.
1988
17.9^1
3.417
144
1.497
210
16
30
184
16
61
1,003
26
230
225
9.604
310
23
418
197
483
5.410
45
327
24
56
2,311
4,725
1989
18,954
4,049
131
1.728
212
18
37
165
12
58
1,402
23
263
150
10,270
385
24
432
306
551
5,736
56
542
22
49
2,167
4,485
1990
20,273
4.209
152
1.871
202
28
55
152
27
50
1,367
11
294
148
10.889
407
34
533
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
32
500
254
520
6.108
206
840
19
12
2.415
5.610
1992
22.540
4.887
137
2.254
206
41
65
148
32
34
1,291
20
659
280
11.152
335
36
426
249
481
6.027
137
809
18
33
2.601
6.221
ims for whom supplemental homicide information was
Total'
Felony type total:
Rape
Robbery
Burglary
Larceny-thefl
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'
22.540
4,887
137
2.254
206
41
65
148
32
34
1.291
20
659
280
11,152
335
36
426
249
481
6,027
137
809
18
33
2.601
6.221
Male
17.576
3.959
10
1. 93 1
128
37
52
93
II
15
1.171
19
492
217
8,502
252
390
218
406
4,610
123
767
16
28
1,670
4,898
Female
4,936
927
127
322
78
4
13
55
21
19
120
I
167
63
2,643
83
14
36
31
75
1.416
14
42
2
5
925
1.303
Unknown
28
6
20
'Total number of murder victims for whom supplemental homicide information was
received.
21
Law Enforcement Response
The clearance rate for murder continued to be higher
than for any other Crime Index offense. Law enforcement
agencies nationwide recorded a 65-percent clearance rate
for 1992. Seventy-five percent of murders in rural counties,
67 percent of those in suburban counties, and 64 percent of
those in the Nation's cities were cleared. Cities with
populations under 10,000 reported the most successful
clearance rate, 78 percent. (See Table 25.)
Geographically, the South, the most populous region,
registered the highest murder clearance rate, 70 percent.
Following were the Northeastern States with 67 percent,
the Western States with 60 percent, and the Midwestern
States with 55 percent.
Persons under 18 years of age accounted for 9 percent of
the willful killings cleared by law enforcement nationally,
as well as in the Nation's cities. Eight percent of the
suburban county and 7 percent of the rural county clear-
ances involved only persons in this young-age group. This
proportion of juvenile involvement was lower than for any
other Index offense.
Fifty-five percent of all murder arrestees in 1992 were
under 25 years of age. The 18- to 24-year age group
accounted for 41 percent of the total. (See Table 38.)
Ninety percent of those arrested were males and 10
percent, females. Blacks comprised 55 percent of the total
arrestees for murder in 1992. Whites made up 43 percent,
and the remainder were of other races.
Compared to the 1991 level, the 1992 murder arrest
total decreased 5 percent. Arrests of persons aged 1 8 and
over declined 6 percent, while those of younger persons
showed virtually no change. During the same 2-year
period, female arrests were down 10 percent and male
arrests dropped 4 percent.
Long-term trends indicate the 1992 murder arrest total
was 13 percent above the 1988 level and 18 percent higher
than the 1983 figure.
Justifiable Homicide
Certain willful killings are classified as justifiable or
excusable, 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 independently and are not included
in the murder counts.
In 1992, the justifiable homicide total was 763, up 9
percent from the 1991 total of 698 and 31 percent higher
than the 1988 total of 581. Of the justifiable homicides in
1992, 415 involved law enforcement officers and 348 were
by private citizens. Data on weapons used in connection
with justifiable homicide showed that handguns were the
weapons used most often. (See Tables 2.15 and 2.16.)
Table 2.15 — Justifiable Homicide by Weapon, Law
Enforcement,' 1988-1992
Firearm
Knife or
Other
type
culling
danger-
Firearm
not
instru-
ous
Personal
Year
Total
total
Handgun
RiHe
Shotgun
specified
ment
weapon
weapons
1988
343
339
291
6
33
9
3
1989
363
360
299
15
42
4
1
1990
385
382
345
8
19
10
1
1991
367
361
319
10
25
7
1
2
1992
415
408
356
21
21
10
4
2
'The killing of a felon by a law enforcement officer in the line of duty.
Table 2.16 — Justifiable Homicide by Weapon, Private
Citizen,' 1988-1992
Firearm
Knife or
Other
type
cutting
danger-
Firearm
not
instru-
ous
Personal
Year
Total
total
Handgun
Rifie
Shotgun
specified
ment
weapon
weapons
1988
238
199
144
19
32
4
24
9
6
1989
273
236
178
22
34
2
23
9
5
1990
328
276
210
20
39
7
39
9
4
1991
331
296
243
15
25
13
29
4
2
1992
348
308
262
19
24
3
31
5
4
'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.
TRFNn
Year
1991
Number of offenses
106,593
Rate per 100.000
inhabitants
42.3
42.8
+1.2
1992
109,062
Percent change
+2.3
23
An estimated 109,062 forcible rapes were reported to
law enforcement agencies across the Nation during 1992.
The 1992 total was 2 percent higher than the 1991 level.
The accompanying chart (2.11) shows consecutive
increases in volume for the last 5 years.
Geographically, 37 percent of the forcible rape total in
1992 was accounted for by the most populous Southern
States, 25 percent by the Midwestern States, 24 percent by
the Western States, and 14 percent by the Northeastern
States. Two-year trends showed that all regions experi-
enced volume increases over 1991 figures, ranging from 1
percent in the Midwest to 3 percent in the South. (See
Table 4.)
Table 2.17— Forcible Rape by Month, 1988-1992
[Perceni distribution]
Months
January ...
February ..
March
April
May
June
July
August
September
October . . .
November
December
1988
7.4
7.3
8.0
8.0
9.0
8.7
9.9
9.8
9.0
8.4
7.6
6.8
1989
7.4
6.3
7.7
8.3
8.6
8.9
10.0
9.5
8.8
8.9
8.3
7.3
1990
7.6
6.7
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
9.6
8.7
8.4
7.6
7.0
The greatest numbers of forcible rapes were reported
during the summer months. (See Chart 2.10.)
Rate
By Uniform Crime Reporting definition, the victims of
forcible rape are always female. In 1992, an estimated 84 of
every 100,000 females in the country were reported rape
victims, an increase of 1 percent over the 1991 rate. Since
1988, the female forcible rape rate has risen 15 percent.
Female forcible rape rates for 1992 showed there were
90 victims per 100,000 females in MSAs, 73 per 100,000
females in cities outside metropolitan areas, and 49 per
100,000 females in rural counties. Although MSAs record
the highest rape rates, they have shown the smallest change
over the past 10 years. During this time, the greatest rate
increase was shown in cities outside metropolitan areas, 78
percent. MSAs and rural areas showed lesser increases, 18
percent and 69 percent, respectively.
Regionally, in 1992, the highest female rape rate was in
the Western States, which recorded 91 victims per 100,000
females. Following were the Southern States with a rate of
90, the Midwestern States with 89, and the Northeastern
States with 58. Over the last 10 years, regional increases in
the forcible rape rate were 48 percent in the Midwest, 34
percent in the South, 14 percent in the Northeast, and 6
percent in the West.
Nature
Rapes by force constitute the greatest percentage of total
forcible rapes, 86 percent of the 1992 experience. The
remainder were attempts or assaults to commit forcible
rape. The number of rapes by force increased 3 percent in
1992 over the 1991 volume, while attempts to rape
decreased 3 percent. Ten years of data show the percentage
of rapes by force increasing.
As for all other Crime Index offenses, complaints of
forcible rape made to law enforcement agencies are some-
times 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 per-
centage of complaints determined through investigation to
be false, is higher for forcible rape than for any other Index
crime. In 1992, 8 percent of forcible rape complaints were
"unfounded," while the average for all Index crimes was 2
percent.
Law Enforcement Response
Nationwide, as well as in the cities, over half of the
forcible rapes reported to law enforcement were cleared by
arrest or exceptional means in 1992. 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, clearance rates for the regions were
lowest in the Midwestern States and highest in the South-
ern States. (See Table 26.)
Of the total clearances for forcible rape in the country as
a whole, 14 percent involved only persons under 18 years
of age. The percentage of juvenile involvement varied by
community type, ranging from 12 percent in the Nation's
cities to 21 percent in suburban counties. (See Table 28.)
Law enforcement agencies nationwide made an esti-
mated 39,100 arrests for forcible rape in 1992. Of the
forcible rape arrestees, about 3 of every 10 were in the 18-
to 24-year age group. Over half of those arrested were
white. (See Tables 29, 38, and 43.)
The number of arrests for forcible rape fell 1 percent
nationwide. Decreases of 2 percent were experienced in the
Nation's cities and 4 percent in suburban counties from
1991 to 1992, while forcible rape arrests were up 7 percent
in the rural counties. (See Tables 36, 44, 50, and 56.)
24
FORCIBLE RAPE
Percent
20
15
10
5
O
-5
-10
-15
-20
Percent
20
CHART 2.10
VARIATION FROM MONTHLY AVERAGE
1992
CHART 2.11
PERCENT CHANGE from 1988
Number of Offenses
Known -UP 18%
Rate per 100,000
Inhabitants -UP 14%
1992
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.
TRFNn
Year
1991
1992
Number of offenses
687.732
672.478
Rate per 100.000
inhabitants
272.7
263.6
-3.3
Percent change
-2.2
26
Reported robberies in 1992 were estimated at 672,478
offenses, accounting for 5 percent of all Index crimes and
35 percent of the violent crimes. Robberies occurred most
frequently in December and least often in April during
1992. (See Chart 2.12.)
Table 2.18— Robbery by Month, 1988-1992
[Percent distribution]
Months
Januar> ...
February ..
March
April
May
June
July
August —
September
October . . .
November
December .
1988
8.6
7.9
8.0
7.3
7.6
7.6
8.4
8.7
8.7
9.1
9.0
9.2
1989
8.8
7.4
8.0
7.3
7.6
7.6
8.4
8.6
8.6
9.2
9.0
9.3
1990
8.7
7.3
8.1
7.2
7.7
7.8
8.5
8.8
8.6
8.9
8.7
9.6
1991
8.7
7.5
8.0
7.4
7.8
7.8
8.4
8.8
8.5
9.2
8.7
9.2
1992
9.0
8.0
8.1
7.8
7.9
7.9
8.4
8.6
8.3
8.7
8.3
9.0
Nationally, the 1992 robbery volume was 2 percent
lower than the 1991 level. This downward trend was also
evident in the suburban counties and in cities overall, with
3-percent declines in each. Robberies were up 2 percent in
the rural counties. (See Table 12.)
Distribution figures for the regions showed that the most
populous Southern States registered 32 percent of all
reported robberies. (See Table 3.) Two-year trends show
the number of robberies in 1992 was down in three of the
four regions as compared to 1991. The declines were 6
percent in the Midwest, 4 percent in the Northeast, and 3
percent in the South. The West showed a 5-percent
increase during the same time period.
Chart 2.13 depicts the national trend in the robbery
volume, as well as the robbery rate, for the years 1988-
1992. In 1992, the number of robbery offenses was 24
percent higher than in 1988 and 33 percent above the 1983
total.
Rate
The national robbery rate in 1992 was 264 per 100,000
people, 3 percent lower than in 1991. In metropolitan
areas, the 1992 rate was 323; in cities outside metropolitan
areas, it was 70; and in the rural areas, it was 16. With
1,076 robberies per 100,000 inhabitants, the highest rate
was recorded in cities with a million or more inhabitants.
(See Tables 2 and 16.)
A comparison of 1991 and 1992 regional robbery rates
per 100,000 inhabitants showed the Midwest's rate of 207
down 7 percent; the rates of 241 in the South and 336 in
the Northeast each down 4 percent; and the West's rate of
295 up 3 percent.
Nature
In 1992, a total estimated national loss of $565 million
was due to robberies. The value of property stolen during
robberies averaged $840 per incident, up from $817 in
1991. Average dollar losses in 1992 ranged from $402
taken during robberies of convenience stores to $3,325 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.
As in previous years, robberies on streets or highways
accounted for more than half (56 percent) of the offenses in
this category. Robberies of commercial and financial
establishments accounted for an additional 21 percent, and
those occurring at residences, 10 percent. The remainder
were miscellaneous types. From 1991 to 1992, bank
robbery and miscellaneous robbery volumes each increased
1 percent. Decreases were experienced for all other robbery
categories. (See Table 23.)
Table 2.19— Robbery, Percent Distribution, 1992
[By region]
United
States
Total
North-
eastern
States
Mid-
western
States
Southern
States
Western
States
Total'
100.0
100.0
100.0
100.0
1000
55.6
11.9
2.5
5.3
lO.I
1.7
13.1
62.7
10.3
2.1
2.4
10.3
1.0
11.4
60.0
10.1
3.1
3.2
9.4
1.1
13.2
50.4
12.0
2.5
8.6
12.0
1.3
13.3
51 8
Commercial house
Gas or service station .. . .
Convenience store
14.5
2.6
5.6
7.9
Bank
3 2
Miscellaneous
14.4
■Because of rounding, percentages may not add to totals.
27
ROBBERY
CHART 2.12
VARIATION FROM MONTHLY AVERAGE
1992
Percent
35
CHART 2.13
PERCENT CHANGE from 1988
^^|rS?S
Number of Offenses
Known - Up 24%
Rate per 100,000
Inhabitants -Up 19%
1988
1989
1990
1991
1992
28
Table 2.20— Robbery, Percent Distribution, 1992
|B\ population group]
Group 1 (63
cities, 250,000
and over;
population
46.1 18.000)
Group II (126
cities, 100,000 to
249,999; popula-
tion 18,792,000)
Group III (340
cities. 50,000 to
99,999; popula-
tion 23,472,000)
Group IV (657
cities, 25.000 to
49.999; popula-
tion 22,864,000)
Group V (1,528
cities, 10,000 to
24,999; popula-
tion 24,185,000)
Group VI (6,177
cittes under
10,000; popula-
tion 21,003,000)
County
agencies
(3,698 agencies;
population
72,221,000)
Total'
100.0
100.0
100.0
100.0
100.0
100.0
100.0
62.8
10.5
1.8
3.0
9.6
1.1
11.1
54.0
12.5
2.7
7.0
9.7
2.2
11.9
49.4
13.9
3.0
7.5
9.5
2.6
14.0
44.5
14.3
3.7
8.3
10.1
2.6
16.5
37.3
14.6
4.7
10.6
10.4
3.2
19.2
26.1
12.8
3.7
9.9
9.7
2.3
35.5
37.0
14.9
4.3
10.8
13.8
Bank
2.3
Miscellaneous
16.9
'Because of rounding, percentages may not add to totals
Forty percent of all robberies in 1992 were committed
through the use of strong-arm tactics and another 40
percent by firearms. Knives or cutting instruments were
used in 1 1 percent, and other dangerous weapons in the
remainder. A comparison of 1991 and 1992 robbery totals
by weapon showed those by knives or cutting instruments
dropped 9 percent; those by strong-arm tactics decreased 5
percent; and those by other dangerous weapons were down
1 percent. Robberies by firearms showed the only increase,
up 2 percent. A state-by-state breakdown of weapons used
in robberies in 1992 is shown in Table 21.
Table 2.21 — Robbery, Type of Weapons Used, 1992
[Percent distribution by region]
Total
all
weapons'
Armed
Region
Fire-
arms
Knives or
cutting
instru-
ments
Other
weapons
Strong-
armed
Total
100.0
40.3
10.6
9.5
39.6
Northeastern States
Midwestern States
Southern States
100.0
100.0
100.0
100.0
36.0
42.6
44.6
37.5
14.1
8.4
8.7
10.8
8.7
9.4
8.8
11.5
41.2
39.5
37.9
40.2
'Because of rounding, percentages may not add to totals.
Law Enforcement Response
The 1 992 national robbery clearance rate was 24 percent
nationwide, as well as in the cities collectively. Suburban
county agencies cleared 27 percent, while the highest
robbery clearance rate — 38 percent — was registered by
rural county law enforcement agencies. (See Table 25.)
Regional robbery clearance percentages ranged from 27
percent in the South to 20 percent in the Midwest. (See
Table 26.)
Nationally and in cities, persons under the age of 18
exclusively were the offenders in 16 percent of all 1992
robbery clearances. This age group accounted for 19
percent of the suburban county clearances and 1 3 percent
of those by rural county agencies.
Arrests for robbery declined 1 percent nationwide during
1992 when compared to 1991. For the same 2-year period,
the number of persons arrested for robbery was down 2
percent in the Nation's cities and decreased 3 percent in
the suburban counties, but increased 14 percent in the
rural counties.
Sixty-two percent of all robbery arrestees in 1992 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.
During the 5-year period, 1988-1992, the total number
of robbery arrests, as well as arrests of males and females,
increased 21 percent. Juvenile arrests rose 50 percent, and
those of persons 1 8 years of age and older increased 1 3
percent.
29
ROBBERY Percent Chanse from 1988 CHART 2.14
Commercial House Robbery
Gas Station Robbery
12
Up 7% ©^
10
•.-.^'^X
k.
8
6
4
•.^^■■■1
fd
1
i
2
n
^^
1
,-2
1988 1989 1990 1991
1992
h
Convenience Store Robbery
12
Down 2%
10
^
8
•
I^
6
^_
4
^4
^h
2
0
-2
i^
M
■
1988
1989
1990
1991
Residence Robbery
Banl< Robbery
50
Up 44%
m
45
A^^
^
'
40
1^^^
^
35
^r
30
25
• t^^
^^
"
20
^^^^^^
15
^^^r
10
^^r
5
0
19
P^r
K
88
1989 1990 1991
19
i
92
If
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 Number of offenses
1991 1,092.739
1992 1,126,974
Percent change +3.1
Rate per 100.000
inhabitants
433.3
441.8
+2.0
31
Totaling an estimated 1,126,974 offenses nationally,
aggravated assaults in 1992 accounted for 58 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, 25 percent by
the Western Region, 19 percent by the Midwestern Region,
and 16 percent by the Northeastern Region. Among the
regions, the Northeast and Midwest registered declines in
aggravated assaults, (See Tables 3 and 4.)
The 1992 monthly figures show that the greatest number
of aggravated assaults was recorded during July, while the
lowest volumes occurred during February. (See Chart
2.15.)
Table 2.22— Aggravated Assault by Month, 1988-1992
[Percent distribution]
Months
January ...
February ..
March
April
May
June
July
August
September
October . . .
November
December .
1988
7.2
7.0
7.9
8.1
8.9
9.0
9.8
9.8
9.0
8.4
7.5
7.5
1989
7.5
6.6
7.9
8.1
8.9
8.9
9.6
9.2
8.8
9.1
7.9
7.5
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
1991
6.9
6.6
7.7
8.1
9.1
9.3
9.7
9.9
9.0
8.6
7.6
7.6
1992
7.3
7.3
8.0
8.7
9.2
8.9
9.4
9.1
8.6
8.5
7.6
7.4
In 1992, aggravated assaults were up 3 percent nation-
wide as compared to 1991. For the same time period, cities
collectively experienced a 2-percent increase in the aggra-
vated assault volume, with cities from 25,000 to 49,999 in
population recording the greatest rise, 7 percent. Cities
with a million or more inhabitants experienced the only
decline, 2 percent. The suburban counties registered a 4-
percent increase and the rural counties, a 6-percent rise for
the 2-year period. (See Table 12.)
Five- and 10-year trends for the country as a whole
showed aggravated assaults up 24 percent above the 1988
level and 73 percent over the 1983 experience. (See Table
1.)
Rate
Up 2 percent above the 1991 rate, there were 442
reported victims of aggravated assault for every 100,000
people nationwide in 1992. The rate was 19 percent higher
than in 1988 and 58 percent above the 1983 rate.
Higher than the national average, the rate in metropoli-
tan areas was 492 per 100,000 in 1992. Cities outside
metropolitan areas experienced a rate of 373, and rural
counties, a rate of 174.
Regionally, the aggravated assault rates ranged from 5 1 3
per 100,000 people in the West to 347 per 100,000 in the
Midwest. Compared to 1991, 1992 aggravated assault rates
were up in two of the four regions; the South and West
registered increases of 5 and 3 percent, respectively. The
Northeast and Midwest showed declines, 1 and 2 percent,
respectively. (See Table 4.)
Nature
In 1992, 31 percent of the aggravated assaults 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
offenses; firearms in 25 percent; and knives or cutting
instruments in the remainder.
From 1991 to 1992, assaults with firearms rose by 5
percent, those involving personal weapons increased 4
percent, and those involving blunt objects or other danger-
ous weapons were up 2 percent. Aggravated assaults by
knives or cutting instruments showed the only decline, 1
percent. State-by-state totals for weapons used in assaults
during 1992 are shown in Table 22.
Table 2.23 — Aggravated Assault, Type of Weapons
Used, 1992
[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
24.7
18.2
31.3
25 7
Northeastern States
100.0
100.0
100.0
100.0
16.9
29.8
26.8
23.1
21.5
18.6
19.8
13.8
31.2
33.9
31.8
28.8
30.4
17.6
Southern States
21.7
34.2
'Because of rounding, percentages may not add to totals.
32
AGGRAVATED ASSAULT
CHART 2.15
VARIATION FROM MONTHLY AVERAGE
1992
Percent
30
CHART 2.16
PERCENT CHANGE from 1988
Number of Offenses
Known - Up 24%
Rate per 100,000
Inhabitants -Up 19%
1988
1989
1990
1991
1992
33
Law Enforcement Response
During 1992, law enforcement agencies nationwide
recorded a 56-percent aggravated assault clearance rate.
The cities collectively reported 55 percent cleared, while
the suburban and rural county law enforcement agencies
cleared 60 and 63 percent, respectively. Among the city
groupings, those with populations under 10,000 recorded
the highest clearance rate, 63 percent. (See Table 25.)
Regional clearance percentages for aggravated assault
were 59 percent in the West, 57 percent in the South, 56
percent in the Northeast, and 52 percent in the Midwest.
Twelve 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 14
percent of the clearances in the suburban counties and 9
percent of those in the rural counties.
The estimated 507,210 persons arrested for aggravated
assault in 1992 represented two-thirds of all arrestees for
violent crimes. Whites comprised 60 percent of the arres-
tees; blacks, 39 percent; and all other races, the remainder.
Eighty-five percent of the arrestees were males and 15
percent, females. Fifteen percent of the total arrestees were
under age 18.
Total arrests for aggravated assault were up 5 percent in
1992 from the 1991 total. During this 2-year period, arrests
of persons under age 1 8 were up 8 percent, and arrests of
adults increased 4 percent. A comparison of 1988 and 1992
figures showed increases of 26 percent for total arrests, 49
percent for juvenile arrests, and 23 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 these offenses is the taking of money or property, but there is
no force or threat of force against the victims.
TREND
Year Number of offenses'
1991 12,961.116
1992 12,505,917
Percent change —3.5
'Does not include arson. See page 57,
Rate per 100.000
inhabitants'
5.139.7
4.902.7
-4.6
35
Estimated property crimes decreased to 12.5 million
reported offenses in 1992, the lowest total since 1988. The
1992 total was 4 percent lower than that for 1991, but 1
percent above the 1988 total and 15 percent higher than in
1983.
Regionally, property crime was down 7 percent in the
Northeast, 5 percent in the Midwest, and 4 percent in the
South. The West showed virtually no change in its property
crime volume from 1991. All city population groups
showed property crime declines, with the greatest decrease
(9 percent) in cities with populations of 1 million or more.
Rural and suburban county law enforcement agencies
recorded decreases of 2 and 4 percent, respectively. (See
Tables 3, 4, and 12.)
As in previous years, 1992 monthly figures show more
property crime occurred in August, while the lowest
number was reported in February. (See Chart 2.17.)
Table 2.24— Property Crime Total by Month, 1988-1992
[Percent distribulionj
Months
January . . .
February ..
March
April
May
June
July
August
September
October . . .
November
December .
1988
7.8
7.5
8.1
7.7
8.2
8.3
8.9
9.5
8.5
8.7
8.3
8.5
1989
7.2
8.2
7.8
8.5
8.5
9.2
9.3
8.4
8.6
8.1
7.9
1990
8.3
7.4
8.2
7.9
8.2
8.2
8.9
9.1
8.3
8.7
8.2
8.6
1991
7.9
7.4
8.2
8.0
8.3
8.4
9.1
9.2
8.4
8.7
8.0
8.4
1992
8.4
7.8
8.2
8.0
8.2
8.4
9.0
9.1
8.4
8.5
8.0
8.1
Rate
In 1992, there were an estimated 4,903 property crimes
for every 100,000 United States inhabitants. The 1992
property crime rate was 5 percent lower than the 1991 rate
and 2 percent under the 1988 rate, but 6 percent above the
1983 rate.
Geographically, the 1992 property crime rate declined in
all regions as compared to 1991. The rate of 5,524 per
100,000 in the Western States was down 2 percent; 5,345
in the Southern States, down 5 percent; 4,368 in the
Midwestern States, a 6-percent decline; and 4,105 in the
Northeastern States, a 7-percent decline.
Property crime rates for 1992 were 5,401 in Metropoli-
tan Statistical Areas, 4,830 in cities outside of MSAs, and
1,805 in rural counties. By population group, the highest
rate — 8,752 — was recorded in cities with populations from
250,000 to 499,999. (See Table 16.)
Nature
Total dollar losses due to property crime were estimated
at $15.2 billion in 1992, down from $16.1 billion in 1991.
The average loss per offense in 1992 was $1,217, as
compared to $1,243 in 1991.
In 1992, larceny-theft accounted for 63 percent of all
property crime. Burglary accounted for 24 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 coverage, it accounted for
another 102,009 offenses and an average dollar loss of
$16,649 per arson in 1992, based on data from 1 1,798 law
enforcement agencies. The increase in the average loss per
arson, up from $1 1,980 in 1991, was largely influenced by
arson damages during the Los Angeles riots.
Regionally, 38 percent of property crime was accounted
for by the Southern States, 24 percent by the Western
States, 21 percent by the Midwestern States, and 17
percent by the Northeastern States.
Law Enforcement Response
Property crimes generally have lower clearance rates
than violent crimes, and in 1992, the overall property
crime clearance rate was 18 percent, as compared to 45
percent for violent crime. Geographically the 1992 pro-
perty crime clearance rate equalled the Nation's 1 8 percent
in three of the four regions. The Northeast recorded a
lesser rate of 17 percent. (See Table 26.)
Twenty-three percent of the property crimes cleared by
law enforcement nationwide and in cities in 1992 involved
only young people under age 18. The juvenile percentage
was 24 percent in suburban counties and 19 percent in
rural counties. (See Table 28.)
The estimated 2.1 million persons arrested for property
crimes in 1992 accounted for 15 percent of all arrestees.
The volume of property crime arrests in 1992 was 3
percent below the 1991 level, but 3 percent higher than the
1988 total and 14 percent above the 1983 experience.
Compared to 1991 totals, juvenile property crime arrests in
1992 showed no change, while adult arrests declined 4
percent. (See Tables 32, 34, and 36.)
In 1992, 74 percent of all property crime arrestees were
males, 66 percent of the total were white, and 33 percent
were under age 18.
36
PROPERTY CRIME
Percent
20
CHART 2.17
VARIATION FROM MONTHLY AVERAGE
1992
15
10
5
O
-5
-10
-15
Percent
7
CHART 2.18
PERCENT CHANGE from 1988
Number of Offenses
Known- UP 1%
Rate per 100,000
Inhabitants - DOWN 2%
1992
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
Year Number of offenses
1991 3.157.150
1992 2,979.884
Percent change —5.6
Rate per 100.000
inhabitants
1.252.0
1.168.2
-6.7
38
An estimated 2.979,884 burglaries occurred in the
United States during 1992. These ofTenses accounted for
2 1 percent of the Crime Index total and 24 percent of the
property crimes.
Distribution figures for the regions showed that the
highest burglary volume occurred in the most populous
Southern States, accounting for 41 percent of the total. The
Western States followed with 24 percent, the Midwestern
States with 20 percent, and the Northeastern States with 16
percent.
In 1992, the highest burglary totals were recorded during
August, while the lowest count was reported in February.
(See Chart 2.19.)
Table 2.25— Burglary by Month, 1988-1992
[Percent disiribution]
Months
1988
1989
1990
1991
1992
S.4
7.8
8.1
7.5
8.1
8.0
8.8
9.3
8.6
8.5
8.4
8.5
8.8
7.3
8.2
7.7
8.4
8.3
9.2
9.3
8.6
8.5
8.1
7.8
8.8
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
8.6
8.0
8.6
8.6
7.7
March
8.2
^pnl
7.8
May
8.2
8.1
July
9.0
9.0
8.4
October
8.3
8.2
8.3
Nationwide, the burglary volume dropped 6 percent in
1992 from the 1991 total. By population group, decreases
were registered in all city groupings; the largest decrease
was in cities with populations of 1 million or more, which
showed a 9-percent decline. (See Table 12.)
Geographically, all four regions of the United States
reported decreases in burglary volumes during 1992 as
compared to 1991. Both the Northeastern States and the
Southern States experienced 7-percent declines. The Mid-
western States showed a 6-percent decrease; and the
Western States reported the smallest change, a 2-percent
decline.
Longer term national trends show burglary down 7
percent from the 1988 volume and 5 percent below the
1983 level.
Rate
A burglary rate of 1,168 per 100,000 inhabitants was
registered nationwide in 1992. The rate was 7 percent
lower than in 1991 and 13 percent below the 1983 rate. In
1992, for every 100,000 in population, the rate was 1,265
in the metropolitan areas, 1,012 in the cities outside
metropolitan areas, and 661 in the rural counties.
Regionally, the burglary rate was 1,379 in the Southern
States, 1,273 in the Western States, 964 in the Midwestern
States, and 935 in the Northeastern States. A comparison
of 1991 and 1992 rates showed decreases of 8 percent in
the South, 7 percent in the Midwest and Northeast, and 4
percent in the West.
Nature
Two of every 3 burglaries in 1 992 were residential in
nature. Sixty-nine percent of all burglaries involved forci-
ble entry, 23 percent were unlawful entries (without force),
and the remainder were forcible entry attempts. OfTenses
for which time of occurrence was reported were evenly
divided between day and night.
Burglary victims suffered losses estimated at $3.8 billion
in 1992, and the average dollar loss per burglary was
$1,278. The average loss for residential offenses was
$1,215, while for nonresidential property, it was $1,400.
Compared to 1991, the 1992 average loss for residential
property declined, while for nonresidential property the
average was up. Both residential and nonresidential burg-
lary volumes showed declines from 1991 to 1992, 5 and 6
percent, respectively. (See Table 23.)
See Section V for a discussion of residential burglary
probability.
Law Enforcement Response
Geographically in 1 992, a 1 3-percent clearance rate was
recorded for burglaries brought to the attention of law
enforcement agencies across the country. In the South, the
clearance rate was 1 5 percent; in the Northeast and West,
13 percent; and in the Midwest, 12 percent.
Rural county law enforcement cleared 1 6 percent of the
burglaries in their jurisdictions. Agencies in suburban
counties cleared 14 percent, and those in cities, 13 percent.
39
BURGLARY
Percent
20
15
10
5
O
-5
-10
-15
CHART 2.19
VARIATION FROM MONTHLY AVERAGE
1992
Percent
O
CHART 2.20
PERCENT CHANGE from 1988
Number of Offenses
Known - Down 7%
Rate per 100,000
Inhabitants - Down 1 1 %
1992
bUK^LAKX Percent Chanse from 1988 <-HAK1 5^.5^1
Residence Daytime
1989 1990 1991 1992
Residence Nishttime
19
0
-1
-2
88
1989
1990
1991
1992
^
S^^
0
-3
^^^
-4
-5
(ir
■v^^
tf^
\
r
K
-(>
^i^"*^
\
fc. V
-7
VT
-8
Xl
-9
-10
Down 9%
^
Non-Residence Daytime
4
^
Down 7%
2
^\
k.
0
-2
\
-A
Vw
-6
(?^
>>-
-^
-8
1*;
V->
v_^
>88
1989
1990
1991
19^
Non-Residence Nishttime
1989 1990 1991
1992
41
Adults were involved in 80 percent of all burglary
offenses cleared; the remaining 20 percent involved only
young people under 1 8 years of age. Persons under age 1 8
accounted for 19 percent of the burglary clearances in
cities, 21 percent of those in rural counties, and 22 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 26 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
424,000 arrests were made in 1992. Arrest trends between
1991 and 1992 show total burglary arrests were down 2
percent. Arrests of persons under 18 years of age decreased
1 percent, while those of adults were down 3 percent. For
the same 2-year time period, total burglary arrest trends
showed a decrease of 3 percent in cities, and 1 -percent in
the rural counties. The suburban counties showed no
change.
Ninety-one percent of the burglary arrestees during 1992
were males, and 64 percent of the total were under 25 years
of age. Among all burglary arrestees, whites accounted for
68 percent, blacks for 30 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
Year Number of offenses
1991 8,142,228
1992 7,915,199
Percent change —2.8
Rate per 100.000
inhabitants
3,228.8
3.103.0
-3.9
43
Larceny-theft, estimated at 7.9 million offenses during
1992, comprised 55 percent of the Crime Index total and
63 percent of the property crimes. Similar to the experi-
ence in previous years, larceny-thefts were recorded most
often during the month of August and least frequently in
February. (See Chart 2.22.)
When viewed geographically, the Southern States, the
most populous region, recorded 38 percent of the larceny-
theft total. The Western States recorded 24 percent; the
Midwestern States, 22 percent; and the Northeastern
States, 16 percent. (See Table 3.)
Table 2.26— Larceny-Theft by Month, 1988-1992
[Percent distribution]
Months
January ...
February . .
March
April
May
June
July
August
September
October ...
November
December .
1988
7.6
7.5
8.2
7.8
8.3
8.5
9.0
9.5
8.5
8.7
8.2
8.3
1989
8.0
7.2
8.2
8.0
8.6
8.7
9.2
9.5
8.3
8.6
8.0
7.7
1990
8.2
7.4
8.2
7.9
8.3
8.3
8.9
9.1
8.2
8.7
8.1
8.4
1991
7.8
7.5
8.2
8.1
8.4
8.5
9.2
9.3
8.3
8.7
7.9
8.2
1992
8.2
7.8
8.3
8.1
8.2
8.5
9.1
9.1
8.4
8.6
7.9
8.0
Compared to 1991, the 1992 volume of larceny-thefts
showed a decline of 3 percent in the Nation, in all cities
collectively, and in suburban counties. The rural counties
showed a decline of less than 1 percent.
Regionally, larceny declines were recorded in the North-
east, 6 percent; in the Midwest, 4 percent; and in the South,
2 percent. The number of larceny-thefts in the West
showed no change.
The 5- and 10-year national trends indicated larceny was
up 3 percent over the 1988 total and 18 percent above the
1983 level.
Rate
The 1992 larceny-theft rate was 3,103 per 100,000
United States inhabitants. The rate was 4 percent lower
than in 1991 and 1 percent under the 1988 level. When
compared to 1983, the rate showed an increase of 8
percent. The 1992 rate was 3,378 per 100,000 inhabitants
of metropolitan areas; 3,601 per 100,000 population in
cities outside metropolitan areas; and 1,036 per 100,000
people in the rural counties. (See Table 2.)
For all regions, the larceny-theft rate per 100,000
inhabitants declined from 1991 levels. The rate in the
Northeast was 2,443, a decline of 6 percent; the Midwest's
1992 rate of 2,928 was down 5 percent; and rates of 3,388
in the South and 3,452 in the West were down 4 and 2
percent, respectively.
Nature
During 1992, the average value of property stolen due to
larceny-theft was $483, a slight increase from $478 in
1991. When the average value was applied to the estimated
number of larceny-thefts, the loss to victims nationally was
$3.8 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
24 percent of the thefts reported to law enforcement in
1992 ranged from $50 to $200, while in 36 percent, they
were over $200.
Losses of goods and property reported stolen as a result
of pocket-picking averaged $430; purse-snatching, $292;
and shoplifting, $106. Thefts from buildings resulted in an
average loss of $802; from motor vehicles, $555; and from
coin-operated machines, $141. The average value loss due
to thefts of motor vehicle accessories was $297 and for
thefts of bicycles, $231. (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 16 percent; thefts from
buildings, 14 percent; and bicycle thefts, 6 percent. The
remainder were distributed among pocket-picking, purse-
snatching, thefts from coin-operated machines, and all
other types of larceny-thefts. Table 2.27 presents the
distribution of larceny-theft by type and geographic region.
Table 2.27 — Larceny Analysis by Region, 1992
[Percent distribution]
United
States
Total
North-
eastern
States
Mid-
western
States
Southern
States
Western
Slates
Total'
100.0
100.0
100.0
100.0
100.0
1.0
.9
15.8
22.6
14.0
5.9
14.0
,9
24.8
3.4
1.8
14.2
21.7
13.9
6.2
18.0
1.6
19.1
.7
1.0
14.0
18.4
14.0
5.0
195
.6
26.7
.5
.7
15.9
20.8
15.5
5.1
10.5
.9
30.2
.5
.7
Shoplifting
18.3
From motor vehicles
(except accessories)
Motor vehicle
accessories
29.4
11 8
Bicycles
7 8
12.2
From coin-operated
machines
.8
18.7
'Because of rounding, percentages may not add to totals.
44
Percent
20
LARCENY-THEFT
CHART 2.22
VARIATION FROM MONTHLY AVERAGE
1992
15
10
5
O
-5
-10
-15
Percent
8
CHART 2.23
PERCENT CHANGE from 1988
Number of Offenses
Known - UP 3%
I Rate per 100,000
J Inhabitants - DOWN
1%
1992
45
2
0
-2
-4
-6
-8
-10
1981
LARCENy/THEFT percent Change from 1988 CHART 2.24
Pocket Picking
1990 1991 1992
■^
1989
Down 7%
Purse Snatching 1
1988
1989 1990 1991
1992
-4
X,^
-8
-12
© ^^ f^
(
)
-16
o X
V
-20
\
-24
Down 22%
Shoplifting
18
Up 6%
16
14
0 © J©
12
^^ ^
V
10
^^^^^
>v
8
_^^^^
Ni^
6
^^
>0
4
^
^^
1
2
Q
/
1
1988
1989 1990 1991
1992
Theft from Motor Vehicles
Motor Vehicle Accessory Theft
Bicycle Theft
4
2
0
-2
-A
1988
Theft from Buildings
Down1%
^ ^
^.
^
1989 1990 1991 1992
46
CHART 2.25
1% Purse-Snatching
1% Pocket-Picking
1% Coin Machines
16% Shoplifting
6% Bicycles
23% From Motor Vehicles
14% From Buildings
14% Motor Vehicle Accessories
25% All Others
LARCENY-THEFT
Percent Distribution by Type of Theft
1992
47
Law Enforcement Response
Twenty percent of the reported larceny-thefts were
cleared nationwide during 1992. Cities collectively re-
corded a 21 -percent clearance rate, with the highest rate,
26 percent, reported by law enforcement agencies in cities
from 10,000 to 24,999 in population. Suburban and rural
counties recorded 17-percent and 18-percent clearance
rates, respectively.
Geographically, law enforcement agencies in the West-
em States cleared 21 percent of the larceny offenses
brought to their attention, while similar to the national
total, the Northeastern and Midwestern Regions each
recorded clearance rates of 20 percent. The Southern
Region registered 1 9 percent of its larceny offenses cleared.
(See Table 26.)
Twenty-three percent of the larceny-theft clearances
nationally and in cities involved only offenders under 18
years of age. Twenty-five percent of those in suburban
counties and 1 8 percent of those in rural counties were
accounted for by persons in this age group.
Between 1991 and 1992, the total number of persons
arrested for larceny-theft dropped 3 percent. By gender,
arrests for males and females declined 3 and 2 percent,
respectively. For the 2-year period, adult arrests were down
4 percent, and those of persons under 18 years of age
remained virtually the same.
Considering a longer timeframe, larceny-theft arrests
rose 4 percent for the 5-year period, 1988-1992. Arrests of
adults were up 2 percent, and of juveniles, up 8 percent.
During this 5-year timespan, male and female arrests rose
2 and 9 percent, respectively.
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 70 percent of those for property crimes in
1992. Forty-four percent of the larceny arrests were of
persons under 21 years of age, and 31 percent of the
arrestees were under 18. Females, who were arrested for
this offense more often than for any other in 1992,
comprised 32 percent of all larceny-theft arrestees.
Whites accounted for 66 percent of the total larceny-
theft arrestees, blacks for 3 1 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
Rale per 100.000
Year Number of offenses inhabitants
1991 1.661.738 659.0
1992 1.610.834 631.5
Percent change —3.1 —4.2
An estimated total of 1,610,834 thefts of motor vehicles
occurred in the United States during 1992. These offenses
comprised 1 3 percent of all property crimes. The regional
distribution of motor vehicle thefts showed 32 percent of
the volume was in the Southern States, 27 percent in the
Western States, 23 percent in the Northeastern States, and
18 percent in the Midwestern States.
The 1992 monthly figures showed that the greatest
number of motor vehicle thefts was recorded during the
month of August, while the lowest count was in February.
(See Chart 2.26.)
Table 2.28— Motor Vehicle Theft by Month, 1988-1992
[Percent distribution]
Months
January ...
February . .
March
April
May
June
July
August
September
October . . .
Novenaber
December .
1988
8.0
7.6
7.9
7.4
7.8
8.0
8.8
9.4
8.7
9.0
8.7
8.7
1989
8.3
7.3
8.1
7.5
8.0
8.2
8.8
9.0
8.5
9.0
8.7
8.5
1990
8.5
7.6
8.4
7.9
8.1
8.1
8.8
8.8
8.4
8.8
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
The number of motor vehicle thefts fell 3 percent
nationally and in the cities overall from 1991 to 1992.
During the same period, the suburban counties experi-
enced a 2-percent drop and the rural counties, a 6-percent
decline.
Geographically, three regions experienced motor vehicle
theft decreases, while the Western Region showed a 3-
percent increase. (See Table 4.)
The accompanying chart shows that the volume of
motor vehicle thefts in 1992 increased 12 percent over the
1988 volume.
Rate
The 1992 national motor vehicle theft rate — 631 per
100,000 people — decreased 4 percent from the rate in
1991. The rate was 8 percent higher than in 1988 and 47
percent above the 1983 rate.
For every 100,000 inhabitants living in MSAs, there
were 758 motor vehicle thefts reported in 1992. The rate in
cities outside metropolitan areas was 217 and in rural
counties, 109. 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 prob-
lem. For every 100,000 inhabitants in cities with popula-
tions over 250,000, the 1992 motor vehicle theft rate was
1,591. The Nation's smallest cities, those with fewer than
10,000 inhabitants, recorded a rate of 246 per 100,000 and
the rural counties, a rate of 117 per 100,000.
Among the regions, the motor vehicle theft rates ranged
from 799 per 100,000 people in the Western States to 477
in the Midwestern States. The Northeastern States' rate
was 727 and the Southern States' rate, 578. All regions
except the Western States registered rate decreases from
1991 to 1992. (See Table 4.)
An estimated average of 1 of every 120 registered motor
vehicles was stolen nationwide during 1992. Regionally,
this rate was greatest in the Northeast where 1 of every 89
motor vehicles registered was stolen. The other three
regions reported lesser rates — 1 per 98 in the West, 1 per
135 in the South, and 1 per 168 in the Midwest.
Nature
During 1992, the estimated value of motor vehicles
stolen nationwide was nearly $7.6 billion. At the time of
theft, the average value per vehicle stolen was $4,713. 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 64-percent recovery rate for 1992.
Eighty percent of all motor vehicles reported stolen
during the year were automobiles, 1 5 percent were trucks
or buses, and the remainder were other types.
See Section V for a discussion of automobile theft
probability.
Table 2.29— Motor Vehicle Theft, 1992
[Percent distribution by region]
Region
Total'
Autos
Trucks
and
buses
Other
vehicles
Total
100.0
79.6
15.1
5.4
Northeastern States
Midwestern States
Southern States
100.0
100.0
100.0
100.0
92.4
83.7
74.2
72.8
4.8
II. 1
18.7
21.6
2.9
5.2
7.1
Western States
5.6
'Because of rounding, percentages may not add to totals.
50
MOTOR VEHICLE THEFT
Percent
20
15
10
5
O
-5
-10
CHART 2.26
VARIATION FROM MONTHLY AVERAGE
1992
-15
-20
AAAAAA^AAAAA
A.
N
U
A.
R
y
F
E
B
R
U
A
R
y
A
R
C
H
A
P
R
I
L
A
y
J
u
N
E
J
U
L
y
A.
u
G
U
s
T
S
E
P
T
E
M
B
E
R
O
C
T
O
B
E
R
N
O
V
E
/SA
B
E
R
D
E
C
E
K\
B
E
R
Percent
35
CHART 2.27
PERCENT CHANGE from 1988
Number of Offenses
Known -Up 12%
Rate per 100,000
Inhabitants - Up 8%
1988
1989
1990
1991
1992
51
Law Enforcement Response
Law enforcement agencies nationwide recorded a 14-
percent motor vehicle theft clearance rate for 1992. Those
in cities cleared 13 percent; those in suburban counties
cleared 16 percent; and rural county agencies cleared 32
percent.
Regional clearance percentages for motor vehicle theft
were 1 7 percent in the Southern States, 1 5 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 24
percent of the motor vehicle thefts cleared both nationally
and in cities. They comprised 23 percent of the clearances
in the suburban counties and 21 percent of those in the
rural counties.
During 1992, law enforcement agencies nationwide
made an estimated 197,600 arrests for motor vehicle theft.
Males accounted for 89 percent of the persons arrested for
motor vehicle theft. Fifty-eight percent of the arrestees
were white, 39 percent were black, and the remainder were
of other races.
A large proportion of motor vehicle theft arrestees were
accounted for by the younger segment of the population. In
1992, 62 percent of all persons arrested for this offense
were under 2 1 years of age, and those under 1 8 comprised
44 percent of the total. Between 1991 and 1992, overall
arrests of males under age 18 decreased 5 percent, while
those of females were up 7 percent.
Total motor vehicle theft arrests, as well as those of
adults and persons under age 18, were down 4 percent in
1992 from the previous year. For longer timeframes, total
vehicle theft arrests in 1992 were 1 percent higher than in
1988 and 71 percent above the 1983 level.
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 102,009 arson offenses was reported by 12,449
law enforcement agencies across the country; these agen-
cies furnished from 1 to 12 months of reports during 1992.
Of these reporting agencies, 11,798 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 informa-
tion regarding arson offenses and trends is presented in
Tables 12 through 15 and arson clearances in Tables 25
through 28. Since only 9,054 agencies covering 75 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 in
the Nation's cities showed virtually no change in 1992 as
compared to the 1991 total. Changes in counts for city
population groups ranged from a 5-percent increase in
cities with populations over 1 million to 5-percent de-
creases in cities with 100,000 - 249,999 inhabitants and in
those between 10,000 - 24,999. The suburban counties
registered a 1 -percent increase, and the rural counties, a 4-
percent decline. (See Table 12.)
Geographically, arson decreased 6 percent in the North-
east, 5 percent in the South, and 2 percent in the Midwest.
A 10-percent increase was recorded in the West.
By property type nationally, the number of arsons of
structures rose 1 percent. Those of mobile property de-
creased 4 percent and of all other property rose 5 percent.
(See Table 15.)
Caution is recommended when viewing arson trend
information. 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 2.30— Arson Rate, Population Group, 1992
(9,054 agencies; 1992 eslimated population 190,161,000;
rate per 100,000 inhabitants]
Group
Rate
Total
48.2
Total cities
56.0
Group 1 (cities 250.000 and over)
91.1
102.5
(cities 500 000 to 999 999)
71.5
(cities 250 000 to 499 999)
91.7
Group 11 (cities 100,000 to 249.999)
Group III (cities 50.000 to 99,999)
Group IV (cities 25,000 to 49,999)
Group V (cities 10,000 to 24,999)
Group VI (cities under 10 000)
64.1
43.3
36.5
26.0
29.3
35.8
20.1
32.9
Rate
Since population coverage for arson data is lower than
for the other Crime Index offenses, arson rates per 100,000
inhabitants are tabulated independently. Based only on
figures from law enforcement agencies supplying 12
months of statistics for all Index crimes, including arson,
the 1992 rates are shown in Table 2.30.
The rates ranged from 103 per 100,000 inhabitants in
cities with populations over 1 million to 20 per 100,000
rural county inhabitants. The suburban counties and all
cities collectively recorded rates of 36 and 56 per 100,000
inhabitants, respectively. Overall, the 1992 national arson
rate was 48 per 100,000 population.
Regionally, the highest arson rate was registered in the
Western States with 60 offenses per 100,000 population.
Following were the Northeastern States with a rate of 47
per 100,000, the Midwestern States with 45 per 100,000,
and the Southern States with 41 per 100,000.
Nature
As in previous years, structures were the most frequent
targets of arsonists in 1992 and comprised 54 percent of
the reported incidents. Twenty-seven percent of the arsons
were directed at mobile property (motor vehicles, trailers,
etc.), while other types of property (crops, timber, etc.)
accounted for 20 percent.
Table 2.31— Arson, Type of Property, 1992
[11.798 agencies; 1992 estimated population 199.960.000]
Property classiflcation
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.
Number
of
oflfenses
Percent
distribution'
86,547
46,615
19,682
7,894
4,016
747
6.566
4.685
3,025
22.976
21,422
1,554
16.956
100.0
53.9
22.7
9.1
4.6
.9
7.6
5.4
3.5
26.5
24.8
1.8
19.6
Residential property was involved in 59 percent of the
structural arsons during the year, with 42 percent of such
offenses directed at single-occupancy dwellings. Nineteen
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.
54
Table 2.32— Arson, Structures Not in Use, 1992
[11.798 agencies; 1992 estimated population 199,960.000]
Type of structure
TottI
Single occupancy residential
Other residential
Storage
Industrial/manufacturing ...
Other commercial
Community/public
Other structure
Number
of
offenses
46,6 IS
19,682
7.894
4.016
747
6.566
4.685
.^025
Percent
not
in use
19.5
2.V4
14.5
26.2
19.9
12.8
9.7
27.4
The monetaPi value of property damaged due to report-
ed arsons averaged $16,649 per incident in 1992. The
overall average for all types of structures was $28,343.
Mobile properties averaged $3,909 per incident, and other
targets averaged $1,763.
The average value of property loss for arson increased
substantially in 1992 as compared to 1991 average dollar
losses. Large losses resulting from arsons during the Los
Angeles riots greatly influenced the overall average, as well
as those for all structures and commercial-type structures.
Table 2.33 — Arson, Monetary Value of Property
Damaged, 1992
[11,798 agencies; 1992 estimated population 199.960.000]
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
86,547
46.615
19.682
7.894
4.016
747
6.566
4,685
3,025
22,976
21,422
1,554
16,956
Average
damage
$16,649
28,343
14,937
13,563
17,754
86.233
103.884
17.630
6.497
3,909
3,700
6.782
1.763
Law Enforcement Response
The national 1992 arson clearance rate was 15 percent.
Agencies in cities with fewer than 10,000 inhabitants
showed the highest rate, clearing 24 percent of the arson
offenses brought to their attention. Rural county law
enforcement agencies cleared 22 percent; those in subur-
ban counties, 17 percent; and in cities, 14 percent. (See
Table 25.)
Regionally, the Southern States recorded a clearance rate
of 21 percent: both the Western and Northeastern States,
1 3 percent; and the Midwestern States, 1 1 percent.
Forty-two percent of all 1992 arson clearances involved
only young people under age 18, a higher percentage of
juvenile involvement than for any other Index crime.
Persons in this age group accounted for 40 percent of
structural arson clearances, 24 percent of the clearances for
arsons of mobile property, and 59 percent of those of all
other property.
Table 2.34 — Arson Offenses Cleared by Arrest,' 1992
[11.798 agencies'; 1992 estimated population 199.960,000]
Property classiHcation
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
86,547
46.615
19.682
7,894
4,016
747
6,566
4,685
3,025
22,976
21,422
1,554
16,956
Percent
cleared
by arrest
17J
21.2
22.3
23.1
16.2
12.4
I3.I
33.3
16.7
8.2
7.8
14.7
19.0
'Includes offenses cleared by exceptional means.
n"o be included in this table, it was necessary that arson clearances be reported by
properly classification.
By population grouping, juveniles were the offenders in
43 percent of the city and suburban county arson clear-
ances and 27 percent of those in the rural counties.
The accompanying tables show clearance data only for
those 1 1,798 law enforcement agencies which were able to
furnish breakdowns by type for the structural and mobile
classifications. As can be seen, the highest clearance rate
(33 percent) was recorded for offenses in which community
or public structures were involved, while the lowest rate (8
percent) was registered for motor vehicles.
Table 2.35 — Arson Offenses Cleared by Arrest' of
Persons under 18 Years of Age, 1992
[11.798 agencies'; 1992 estimated population 199,960.000]
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
Total
clearances
15,000
9,888
4,396
1,821
651
93
859
1,562
506
1,892
1,664
228
3,220
Percent
under 18
42.1
40.2
33.2
33.2
55.1
35.5
29.2
65.4
49.6
23.8
22.0
37.8
58.6
'Includes offenses cleared by exceptional means.
To be included in this table, it was necessary that arson clearances be reported by
property classification.
55
The estimated number of arrests for arson during 1992 counties experienced a 4-percent decrease in total arson
totaled 19,900. Forty-nine percent of the arrestees were arrests for the same 2-year period,
under 18 years of age and 67 percent were under 25. Males Nationwide, arrests of juveniles were up 8 percent, while
comprised 87 percent of all arson arrestees. Seventy-six adult arrests showed a 3-percent decrease from 1991 to
percent of those arrested were white, 22 percent were 1992. During the same period, male arrests for arson were
black, and the remainder were of other races. up 2 percent and female arrests, up 3 percent.
Trends for 1991 versus 1992 show arson arrests in- The 1992 arson arrest total for all ages was 7 percent
creased 2 percent nationwide, 3 percent in the Nation's higher than the 1988 level but 1 percent lower than in
cities, and 4 percent in rural counties. The suburban 1983.
56
Crime Index Tabulations
This Section's tabular portions present data on crime in
the United States as a whole; geographic divisions; individ-
ual states; Metropolitan Statistical Areas; cities, towns, and
counties; and college and university campuses. Also fur-
nished in the following tables are national averages for the
value of property stolen in connection with Crime Index
offenses; further breakdowns by type for the robbery,
burglary, larceny-theft, and arson classifications; informa-
tion 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 through-
out 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 comput-
ing crime rates, all communities are affected to some
degree by seasonal or transient populations. Since counts
of current, permanent population are used in their con-
struction, 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 v of this publication.
National data can serve as a guide for the law enforce-
ment administrator in analyzing the local crime count, as
well as the performance of the jurisdiction's law enforce-
ment 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 community crime problem or the effective-
ness of the law enforcement operation is possible.
National estimates of volume and rate per 100,000
inhabitants for all Crime Index offenses covering the past
two decades are set forth in Table 1, "Index of Crime,
United States, 1973-1992."
Table 2, 'index of Crime, United States, 1992," 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, 1992," are data showing the
geographical 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 1992, they also represented the greatest regional popula-
tion.
Note
The collection of statistics on arson as a Crime Index
offense began in 1979. However, 1992 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, 1973-1992
Population'
Crime
Index
total-
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
thcf)
Arson'
Number of Offenses
Population by year
1973-209,851,000
8,718,100
10.253,400
11,292,400
11,349.700
10,984.500
11,209,000
12,249.500
13,408.300
13,423,800
12.974,400
12,108,600
11.881,800
12,431,400
13.211,900
13,508,700
13,923,100
14,251,400
14,475,600
14,872,900
14,438.200
-2.9
-1-3.7
-H9.2
875,910
974,720
1.039.710
1.004.210
1.029,580
1,085,550
1,208.030
1,344,520
1,361.820
1,322.390
1,258,090
1,273,280
1,328,800
1.489,170
1,484,000
1,566,220
1,646,040
1.820,130
1,911,770
1,932.270
■H.l
-1-23.4
-^53.6
7.842,200
9,278.700
10,252,700
10,345,500
9,955,000
10,123,400
11,041,500
12,063,700
12,061,900
11,652,000
10.850.500
10,608,500
11,102.600
11.722.700
12,024,700
12,356,900
12,605,400
12,655,500
12.961,100
12.505,900
-3.5
-1-1.2
-1-15.3
19,640
20,710
20,510
18,780
19,120
19,560
21,460
23,040
22,520
21,010
19,310
18.690
18.980
20,610
20,100
20,680
21,500
23,440
24,700
23,760
-3.8
-1-14.9
-(-23.0
51.400
55.400
56.090
57.080
63,500
67,610
76,390
82,990
82,500
78,770
78.920
84.230
88,670
91.460
91.110
92,490
94,500
102,560
106,590
109,060
-(-2.3
-(-17.9
-(-38.2
384.220
442.400
470.500
427.810
412,610
426,930
480,700
565,840
592,910
553,130
506,570
485.010
497.870
542.780
517.700
542,970
578,330
639,270
687,730
672.480
-2.2
-(-23.9
-(-32.8
420.650
456.210
492,620
500,530
534,350
571,460
629,480
672,650
663,900
669,480
653.290
685.350
723.250
834.320
855,090
910,090
951,710
1,054.860
1,092,740
1,126,970
-1-3.1
-(-23.8
■f72.5
2,565.500
3.039.200
3,265.300
3,108.700
3.071.500
3.128,300
3,327,700
3,795,200
3,779,700
3,447.100
3,129,900
2,984,400
3,073,300
3,241,400
3,236,200
3,218,100
3,168,200
3,073,900
3,157.200
2.979.900
-5.6
-7.4
-4.8
4.347.900
5.262,500
5,977,700
6.270,800
5.905,700
5,991,000
6,601,000
7,136.900
7.194.400
7,142,500
6,712.800
6.591.900
6.926.400
7,257,200
7,499,900
7.705.900
7,872.400
7,945,700
8,142,200
7,915,200
-2.8
-t-2.7
-(-17.9
928.800
977.100
1.009.600
966.000
977.700
1.004,100
1,112,800
1,131.700
1,087.800
1,062.400
1.007.900
1.032.200
1.102.900
1.224.100
1.288.700
1.432,900
1.564,800
1.635.900
1.661.700
1.610.800
-3.1
-1-12.4
-1-59.8
1974-211 392000
1975-213,124,000
1976-214,659,000
1977-216 332000
1978-218 059 000
1979-220,099,000
1980-225,349.264
1981-229 146 000
1982-231,534,000
1983-233,981,000
1984-236,158,000
1985-238,740,000
1986-241,077,000
1987-243,400,000
1988-245,807,000
1989-248,239,000
1990-248,709,873
1991-252,177,000
1992-255,082,000
Percent change: number of
offenses:
1992/1991
1992/1988
1992/1983
1
Rale per 100,000 Inhabitants
Year
1973
4,154.4
4,850.4
5,298.5
5,287.3
5.077.6
5.140.3
5,565.5
5,950.0
5,858.2
5,603.6
5,175.0
5.031.3
5.207.1
5.480.4
5.550.0
5.664.2
5,741.0
5,820.3
5,897.8
5,660.2
-4.0
-.1
-1-9.4
417.4
461.1
487.8
467.8
475.9
497.8
548.9
596.6
594.3
571.1
537.7
539.2
556.6
617.7
609.7
637.2
663.1
731.8
758.1
757.5
-.1
-H8.9
-(-40.9
3.737.0
4.389.3
4.810.7
4,819.5
4,601.7
4,642.5
5,016.6
5,353.3
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
-4.6
-2.5
+5.7
9.4
9.8
9.6
8.8
8.8
9.0
9.7
10.2
9.8
9.1
8.3
7.9
7.9
8.6
8.3
8.4
8.7
9.4
9.8
9.3
-5.1
-(-10.7
-(-12.0
24.5
26.2
26.3
26.6
29.4
31.0
34.7
36.8
36.0
34.0
33.7
35.7
37.1
37.9
37.4
37.6
38.1
41.2
42.3
42,8
-H.2
-(-13.8
-(-27.0
183.1
209.3
220.8
199.3
190.7
195.8
218.4
251.1
258.7
238.9
216.5
205.4
208.5
225.1
212.7
220.9
233.0
257.0
272.7
263.6
-3.3
-(-19.3
-(-21.8
200.5
215.8
231.1
233.2
247.0
262.1
286.0
298.5
289.7
289.2
279.2
290.2
302.9
346.1
351.3
370.2
383.4
424.1
433.3
441.8
-(■2.0
-(-19.3
-(-58.2
1.222.5
1.437.7
1.532.1
1.448.2
1.419.8
1.434.6
1.511.9
1.684.1
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
-6.7
-10.8
-12.7
2,071.9
2,489.5
2,804.8
2,921.3
2.729.9
2.747.4
2.999.1
3.167.0
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
-3.9
-1.0
-1-8.2
442.6
462.2
473.7
450.0
451.9
460.5
505.6
502.2
474,7
458.8
430.8
437.1
462.0
507.8
529.4
582.9
630.4
657.8
659.0
631.5
-4.2
-(-8.3
-1-46.6
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
Percent change: rate per 100,000
inhabitants:
1992/1991
1992/1988
1992/1983
'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,
'Although arson data are included in the trend and clearance tables. sufTicient data are not available to estimate totals for this offense.
'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 properly crime of arson.
All rates were calculated on the offenses before rounding.
58
Fable 2.— Index of Crime, United States. 1992
Population'
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Ar«5n'
L'utnl Stales Total ..,
Rate per liW.OOO
inhabitants
2SS.08 2.000
14,438.191
5.660.3
1.932,274
757.5
12.505,917
4.W2.7
23,760
9.3
109,062
42,8
672,478
263.6
1,126,974
441.8
2,979,884
1.168.2
7,915,199
3,103.0
1,610,834
631.5
Vletropolitail
Statistical .^rea
Area actually reporting'
Estimated totals
Rate per 100.000
inhabitants
Cities outside melropolitaii areas
Area actually reporting*
Estimated totals
Rate per 100,000
inhabitants
Rural Counties
.Area actually reporting*
Estimated totals
Rate per 100.000
inhabitants
201,843,745
97.0%
12,425,059
100.0%
12,660,331
6.272.3
21,254,000
90.0%
1.012,709
100.0%
1,129.982
5.316.6
31,983,255
86.1%
571.898
100.0%
647,878
2.025.7
1,736,064
1,758,505
871.2
91.616
103,346
486.2
60.336
70,423
220.2
10,688,995
10,901.826
5,401.1
921.093
1.026.636
4.830.3
511,562
577.455
1,805.5
20,712
20,943
997
1,147
5.4
1,408
1,670
5.2
91.248
93,114
46.1
7.080
7.912
37.2
7.141
8.036
25.1
647,785
652,364
323.2
13,274
14,904
70.1
4,472
5,210
16.3
976,319
992.084
491.5
70,265
79,383
373.5
47,315
55,507
173.6
2,503,818
2.553,535
1,265.1
191,215
215.062
1,011.9
186,528
211,287
660.6
6,675,499
6.818.473
3.378.1
688,686
765,446
3.601.4
294,309
331.280
1.035.8
1,509,678
1,529,818
757.9
41,192
46.128
217.0
30.725
34.888
109.1
'Populations are Bureau of the Census provisional estimates as of July 1. 1992. and 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,
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle
[he property crime of arson.
*The percentage representing area actually reporting will not coincide with the ratio between reported and estimated crime totals, since these data represent
.ndividual slates which have varying populations, portions reporting, and crime rates.
theft. Data are not included for
the sum of the calculations for
rable 3. — Index of Crime, Regional Offense and Population Distribution, 1992
Region
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
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
\'ortheastem States
20.0
23.8
34.6
21.6
17.1
20.9
37.6
24.4
19.4
19.1
36.9
24.6
16.8
21.2
37.6
24.3
16.9
19.5
41.1
22.5
13.8
25.3
37.3
23.6
25.5
18.7
31.6
24.2
16.2
18.7
40.0
25.1
16.0
19.6
40.8
23.5
15.8
22.5
37.7
24.0
23.1
18.0
31.6
27.3
Midwestern Stales
Western States
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
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
he property crime of arson.
'Because of rounding, percentages may not add to totals.
59
Table 4.— Index of Crime: Region, Geographic Division, and State, 1991-1992
Area
Year
Population'
Crime Index total
Modified Crime
Index total'
Violent crime'
Property crime'
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
United States TotaP
1991
1992
252.177.000
255.082,000
14,872,883
14,438,191
-2.9
5,897.8
5,660.2
-4.0
1.911.767
1.932.274
+1.1
758.1
757.5
-.1
12,961,116
12,505,917
-3.5
5,139.7
4,902.7
-4.6
24,703
23,760
-3X
9.8
9J
-5.1
Northeast
1991
1992
50,976,000
51,118,000
2.628.067
2.472.428
-5.9
5,155.5
4.836.7
-6.2
383,413
373,913
-2,5
752.1
731.5
-2.7
2.244,654
2,098,515
-6.5
4,403.4
4,105.2
-6.8
4,275
4,007
84
Percent change
7.8
-7.1
1991
1992
13.197,000
13.200.000
653.309
609,045
-6.8
4,950.4
4,614.0
-6.8
70,148
70,581
+.6
531.5
534.7
+.6
583.161
538,464
-7.7
4.418.9
4.079.3
-7.7
540
467
-13.5
4 1
Percent change
3.5
-14.6
1991
1992
3,291,000
3,218,000
176,531
165,787
-6.1
5.364.1
5,052.9
-5.8
17,761
16,252
-8.5
539.7
495.3
-8.2
158,770
149,535
-5.8
4.824.4
4.557.6
-5.5
187
166
-11.2
57
Percent change
5.1
-10.5
Maine
1991
1992
1,235,000
1,235,000
46,531
43,516
-6.5
3,767.7
3,523.6
-6.5
1,631
1,616
-.9
132.1
1309
-.9
44,900
41,900
-6.7
3,635.6
3,392.7
-6.7
15
21
+40.0
1 2
Percent change
1.7
+41.7
1991
1992
5,996.000
5,998,000
319,128
300,071
-6.0
5,322.3
5,002.9
-6.0
44,138
46,727
+5.9
736.1
779.0
+5.8
274,990
253,344
-7.9
4,586.2
4,223.8
-7.9
249
214
-14.1
4.2
Percent change
3.6
-14.3
1991
1992
1,105,000
1,111,000
38,098
34,225
-102
3,447.8
3,080.6
-10.7
1,318
1,397
+6.0
119.3
125.7
+5.4
36,780
32,828
-10.7
3,328.5
2,954.8
-11.2
40
18
-55.0
36
Percent change
1.6
-55.6
Rhode Island
1991
1992
1,004,000
1.005.000
50,595
46,009
-9.1
5,039.3
4,578.0
-9.2
4,638
3,965
-14.5
462.0
394.5
-14.6
45,957
42,044
-8.5
4,577.4
4,183.5
-8.6
37
36
-2.7
37
Percent change
3.6
-2.7
Vermont
1991
1992
567.000
570,000
22,426
19,437
-13.3
3,955.2
3,4100
-13.8
662
624
-5.7
116.8
109.5
-6.3
21.764
18,813
-13.6
3,838.4
3,300.5
-14.0
12
12
2 1
Percent change
2.1
Middle Atlantic
1991
1992
37,779,000
37,918,000
1,974,758
1,863,383
-5.6
5,227.1
4,914.2
-6.0
313,265
303,332
-3.2
829.2
800.0
-3.5
1,661,493
1,560,051
-6.1
4,397.9
4,114.3
-6.4
3,735
3,540
-5.2
9.9
Percent change
9.3
-6.1
New Jersey
1991
1992
7,760,000
7,789,000
421,469
394,463
-6.4
5,431.3
5,064.4
-6.8
49,257
48,745
-1.0
634.8
625.8
-1.4
372,212
345,718
-7.1
4,796.5
4,438.5
-7.5
406
397
-2.2
52
Percent change
5.1
-1.9
New York
1991
1992
18,058,000
18,119,000
1.127,651
1,061,489
-5.9
6,244.6
5,858.4
-6.2
210,184
203,311
-3.3
1,163.9
1,122.1
-3.6
917,467
858,178
-6.5
5,080.7
4,736.3
-6.8
2,571
2,397
-6.8
142
Percent change
13.2
-7.0
1991
1992
11,961.000
12,009,000
425,638
407,431
-4.3
3,558.5
3,392.7
-4.7
53,824
51.276
-4.7
4500
427.0
-5.1
371,814
356.155
-4.2
3,108.6
2,965.7
-4.6
758
746
-1.6
63
6.2
-1.6
See footnotes at end of table.
60
Table 4.-
ndex of Crime: Region. Geographic Division, and State, 1991-
1992
Forciblc rape
Robber\
.Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Arson'
Number
Raic 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
106,593
109.062
+2J
42.3
42.8
+1.2
687,732
672,478
-2.2
272.7
263.6
-3J
1,092,739
1,126.974
+3.1
433.3
441.8
+2.0
3.157,150
2.979.884
-5.6
1.252.0
1,168.2
-6.7
8,142,228
7,915.199
-2.8
3.228.8
3.103.0
-3.9
1,661.738
1,610,834
-3.1
659.0
631.5
-4.2
14,748
15.089
+2.3
28.9
29.5
+2.1
179.276
171.704
-4.2
351.7
335.9
-4.5
185.114
183.113
-1.1
363.1
358.2
-1.3
514.945
477.880
-7.2
1.010.2
934.9
-7.5
1,324.463
1,248,896
-5.7
2.598.2
2.443.2
-6.0
405,246
371,739
-8.3
795.0
727.2
-8.5
3.969
4.221
+6.3
30.1
32.0
+6.3
20,999
19.633
-6.5
159.1
148.7
-6.5
44.640
46.260
+3.6
338.3
350.5
+3.6
145,551
132.990
-8.6
1.102.9
1.0O7.5
-8.6
343.096
322.352
-6.0
2.599.8
2.442.1
-6.1
94.514
83.122
-12.1
716.2
629.7
-12.1
960
884
-7.9
29.2
26.9
-7.9
7.384
6.918
-6.3
224.4
210.9
-6.0
9,230
8.284
-10.2
280.5
252.5
-10.0
39.198
36.372
-7.2
1.191.1
1.108.6
-6.9
93.384
89,463
-4.2
2.837.6
2.726.7
-3.9
26.188
23,700
-9.5
795.7
722.3
-9.2
270
294
+8.9
21.9
23.8
+8.7
280
288
+2.9
22.7
23.3
+2.6
1.066
1.013
-5.0
86.3
82.0
-5.0
11.146
10.156
-8.9
902.5
822.3
-8.9
31,737
29,966
-5.6
2.569.8
2.426.4
-5.6
2.017
1,778
-11.8
163.3
144.0
-11.8
1.926
2.166
+ 12.5
32.1
36.1
+ 12.5
11.669
11.059
-5.2
194.6
184.4
-5.2
30.294
33.288
+9.9
505.2
555.0
+9.9
69.977
64.318
-8.1
1.167.1
1.072.3
-8.1
149,930
141,610
-5.5
2.500.5
2,361.0
-5.6
55,083
47,416
-13.9
918.7
790.5
-14.0
330
424
+28.5
29.9
38.2
+27.8
365
367
+.5
33.0
33.0
583
588
+.9
52.8
52.9
+.2
8.126
6.909
-15.0
735.4
621.9
-15.4
26,220
23,754
-9.4
2,372.9
2,138.1
-9.9
2.434
2.165
-11.1
220.3
194.9
-11.5
310
311
+.3
30.9
30.9
1.234
950
-23.0
122.9
94.5
-23.1
3.057
2.668
-12.7
304.5
265.5
-12.8
11.320
10,529
-7.0
1.127,5
1.047.7
-7.1
26.664
24.052
-9.8
2,655.8
2.393.2
-9.9
7.973
7.463
-6.4
794.1
742.6
-6.5
173
142
-17.9
30.5
24.9
-18.4
67
51
-23.9
11.8
8.9
-24.6
410
419
+2.2
72.3
73.5
+ 1.7
5.784
4.706
-18.6
1.020.1
825.6
-19.1
15.161
13.507
-10.9
2.673.9
2.369.6
-11.4
819
600
-26.7
144.4
105.3
-27.1
10.779
10.868
+.8
28.5
28.7
+.7
158.277
152.071
-3.9
419.0
401.1
-4.3
140.474
136.853
-2.6
371.8
360.9
-2,9
369,394
344.890
-6.6
977.8
909.6
-7.0
981.367
926.544
-5.6
2.597.7
2.443.5
-5.9
310.732
288.617
-7.1
822.5
761.2
-7.5
2.259
2.392
+5.9
29.1
30.7
+5.5
22,744
22.216
-2.3
293.1
285.2
-2.7
23.848
23.740
-.5
307.3
304.8
-.8
78.821
75.508
-4.2
1.015.7
969.4
-4.6
221.544
206,686
-6.7
2.854.9
2,653.6
-7.1
71.847
63.524
-11.6
925.9
815.6
-11.9
5.085
5,152
+ 1.3
28.2
28.4
+.7
112.342
108.154
-3.7
622.1
596.9
-4.1
90.186
87.608
-2.9
499.4
483.5
-3.2
204.499
193.548
-5.4
1,132.5
1,068.2
-5.7
531.681
495.708
-6.8
2,944.3
2,735.8
-7.1
181.287
168,922
-6.8
1.003.9
932.3
-7.1
3.435
.1.324
-3.2
28.7
27.7
-3,5
23.191
21.701
-6.4
193.9
180.7
-6.8
26.440
25.505
-3.5
221.1
212.4
-3.9
86.074
75.834
-11.9
719.6
631.5
-12.2
228.142
224.150
-1.7
1,907.4
1,866.5
-2.1
57,598
56,171
-2.5
481.5
467.7
-2.9
61
Table 4.— Index of Crime: Region, Geographic Division, and State, 1991-1992— Continued
Year
Population'
Crime Index total
Modified Crime
Index total'
Violent
crime'
Property crime'
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
Midwest*-'
1991
1992
60,225,000
60,713,000
3,165,948
3,020,703
-4.6
5,256.9
4,975.4
-5.4
380,051
368,675
-3.0
631.1
607.2
-3J
2,785,897
2,652,028
-4S
4,625,8
4J68.1
-5.6
4,709
4,642
-1.4
1*
Pemnt change
-24
East North Central*
1991
1992
42,414,000
42,753,000
2.324.958
2.195.617
-5.6
5,481.6
5.135.6
-6.3
298,719
286,868
-4.0
704.3
671.0
-4.7
2,026,239
1,908,749
-5.8
4,777.3
4,464.6
-6.5
3,754
3,666
-2.3
8.9
Percent change
8.6
-3.4
Illinois*
1991
1992
11,543,000
11,631,000
707.823
670.564
-5.3
6,132.1
5,765.3
-6.0
119,955
113,664
-5.2
1,039.2
977.3
-6.0
587,868
556,900
-5.3
5,092.9
4,788.1
-6.0
1,300
1,322
+ 1.7
11.3
Percent change
11.4
+.9
Indiana
1991
1992
5,610,000
5,662,000
270.279
265.375
-1.8
4,817.8
4,686.9
-2.7
28,349
28,791
+ 1.6
505.3
508.5
+.6
241.930
236.584
-2.2
4,312.5
4,178.5
-3.1
423
464
+9,7
7.5
8.2
+9.3
1991
1992
9,368,000
9,437,000
575.013
529,472
-7.9
6.138.1
5,610.6
-8.6
75.232
72.672
-3.4
803.1
770.1
-41
499.781
456.800
-8.6
5,335.0
4,840.5
-9.3
1.009
938
-7.0
10.8
Percent change
9.9
-8.3
Ohio
1991
1992
10,939,000
11,016.000
550,560
513,952
-6.6
5.033.0
4.665.5
-7.3
61,460
57,935
-5.7
561.8
525.9
-6.4
489.100
456,017
-6.8
4,471.2
4,139.6
-7.4
783
724
-7.5
7.2
Percent change
6.6
-8.3
1991
1992
4.955,000
5.007,000
221,283
216,254
-2.3
4.465.9
4.319.0
-3.3
13,723
13,806
+.6
277.0
275.7
-.5
207,560
202,448
-2.5
4,188.9
4,043.3
-3.5
239
218
-8.8
4.8
Percent change
4.4
-8.3
West North Central*
1991
1992
17.811.000
17.960.000
840,990
825,086
-1.9
4.721.7
4,594.0
-2.7
81,332
81,807
+.6
456.6
455.5
-.2
759,658
743,279
-2.2
4,265.1
4,138.5
-3.0
955
976
+2.2
5.4
Percent change
5.4
Iowa'
1991
1992
2,795,000
2,812,000
115,546
111,275
-3.7
4,134.0
3.957.1
-4.3
8.477
7.816
-7.8
303.3
278.0
-8.3
107,069
103,459
-3.4
3,830.7
3,679.2
-4.0
57
44
-22.8
2.0
Percent change
1.6
-20.0
1991
1992
2,495,000
2,523,000
138.081
134,222
-2.8
5,534.3
5,319.9
-3.9
12.465
12.888
+3.4
499.6
510.8
+2.2
125.616
121.334
-3.4
5,034.7
4.809.1
-4.5
153
151
-1.3
6.1
Percent change
6.0
-1.6
1991
1992
4,432,000
4,480,000
199,274
205,664
+3.2
4.496.3
4.590.7
+2.1
14.006
15.144
+8.1
316.0
338.0
+7.0
185,268
190.520
+2.8
4.180.2
4,252.7
+ 1.7
131
150
+ 145
3.0
Percent change
3.3
+ 10.0
Missouri
1991
1992
5.158.000
5.193.000
279,340
264,694
-5.2
5,415.7
5.097.1
-5.9
39,358
38,448
-2.3
763.0
740.4
-3.0
239,982
226,246
-5.7
4,652.6
4,356.7
-6.4
543
547
+.7
10.5
Percent change
10.3
Nebraska
Percent change
1991
1992
1.593.000
1.606.000
69,361
69,444
+.1
4,3541
4.3240
-.7
5,330
5,598
+5.0
334.6
348.6
+4.2
64,031
63,846
-.3
4,019.5
3.975.5
-1.1
52
68
+30.8
3.J
4.2
+27.3
North Dakota
1991
1992
635.000
636.000
17.741
18.465
+4.1
2.793.9
2,903.3
+3.9
415
530
+27.7
65.4
83.3
+27.4
17,326
17,935
+3.5
2,728.5
2,820.0
+3.4
7
12
+71.4
1.1
Percent change
1.9
+72.7
1991
1992
703.000
711.000
21.647
21.322
-1.5
3.079,2
2.998.9
-2.6
1,281
1,383
+8,0
182.2
1945
+6.8
20.366
19,939
-2.1
2.897.0
2.804.4
-3,2
12
4
-66.7
1.7
Percent change
.6
-64.7
See footnotes at end of table.
62
Table 4.—
1992— Continued
Forcible rape
Robbcr\
.Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Arson'
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
Number
Rate per
100,000
27373
r,639
+1.0
4S.S
45.5
1X431
125,878
-4.4
223.2
207J
-7.1
213,538
210,516
-1.4
354.6
346.7
-2.2
624.318
585,107
-6.3
1,03«.6
963.7
-7.0
1,856J82
1,777.622
-4.2
3.082.4
2.927.9
-5.0
305,197
289,299
-5.2
506JI
476,5
-6.0
21.312
21,314
50.2
49.9
-.6
111.380
103.718
-6.9
262.6
242.6
-7.6
162.273
158.170
-2.5
382.6
370.0
-3.3
447.888
416.472
-7.0
1.056.0
974.1
-7.8
1.336,594
1.262.257
-5.6
3,151.3
2,952.4
-6.3
241.757
230,020
-4.9
570.0
538.0
-5.6
4.615
4.312
-6.6
40.0
37,1
-7,3
52.653
47.973
-8.9
456.1
412,5
-9.6
61.387
60.057
-2.2
531.8
516.4
-2.9
129,284
125.306
-3.1
1,120.0
1,077.3
-3.8
382,942
359,618
-6.1
3,317.5
3,091.9
-6.8
75,642
71.976
-4.8
655.3
618.8
-5.6
2.318
2.398
+3.5
41.3
42,4
+2,7
6.506
6.921
+6.4
116.0
122.2
+5.3
19,102
19,008
-.5
340,5
335,7
-1,4
54.814
53.907
-1.7
9771
952.1
-2.6
161.039
157,181
-2.4
2.870.6
2.776.1
-3.3
26.077
25.496
-2.2
464.8
450.3
-3.1
7.372
7.550
+2.4
78,7
80,0
+ 1.7
22.790
20.902
-8.3
243.3
221.5
-9.0
44.061
43.282
-1.8
470.3
458.6
-2.5
111.126
98.257
-11.6
1.186.2
1.041.2
-12.2
324.985
299,486
-7.8
3,469.1
3,173.5
-8.5
63,670
59,057
-7.2
679.7
625.8
-7.9
5.748
5.739
_ 2
52.5
52.1
-.8
23.536
21.925
-6.8
215.2
199.0
-7.5
31.393
29.547
-5.9
287.0
268.2
-6.6
115.423
104,357
-9.6
1,055.2
947.3
-10.2
318,933
299,774
-6.0
2,915.6
2,721.3
-6.7
54,744
51,886
-5.2
500.4
471.0
-5.9
1.259
1.315
+4,4
25.4
26.3
+3.5
5.895
5.997
+ 1.7
119.0
119.8
+.7
6.330
6,276
-.9
127.7
125.3
-1.9
37,241
34,645
-7.0
751.6
691.9
-7.9
148.695
146,198
-1.7
3.000.9
2.919.9
-2.7
21,624
21,605
436.4
431.5
-1.1
6.061
6.325
+4.4
34.0
35.2
+3.5
23.051
22.160
-3.9
129.4
123.4
-4.6
51,265
52,346
+2.1
287.8
291.5
+ 1.3
176,430
168,635
-4.4
990.6
938.9
-5.2
519,788
515,365
-.9
2,918.4
2.869.5
-1.7
63,440
59,279
-6.6
356.2
330.1
-7.3
583
528
-9.4
20.9
18.8
-10.0
1.257
1.113
-11.5
45,0
39.6
-12.0
6,580
6,131
-6.8
235.4
218.0
-7.4
23.267
21.197
-8.9
832.5
753.8
-9.5
79,030
77,788
-1.6
2,827.5
2,766.3
-2.2
4,772
4,474
-6.2
170.7
159.1
-6.8
1.118
1.042
-6.8
44.8
41.3
-7.8
3.453
3.277
-5.1
138.4
129.9
-6,1
7,741
8.418
+8.7
310.3
333.7
+7.5
32,601
32,639
+.1
1,306.7
1,293.7
-i.O
84.258
80.526
-4.4
3,377.1
3.191.7
-5.5
8.757
8.169
-6.7
351.0
323.8
-7.7
1.762
1.840
+4.4
39.8
41,1
+3.3
4.345
4.906
+ 12,9
98.0
109.5
+ 11.7
7,768
8,248
+6.2
175.3
184.1
+5.0
37,832
39,859
+5.4
853.6
889.7
+4.2
131,330
134,750
+2.6
2,963.2
3.007.8
+ 1.5
16,106
15,911
-1.2
363.4
355.2
-2.3
1.756
1.895
*7.9
34.0
36.5
+ 7,4
12.952
11.783
-9.0
251.1
226.9
-9,6
24,107
24.223
+.5
467.4
466.5
-.2
64,643
57,127
-11.6
1.253.3
1.100.1
-12.2
146,533
143,288
-2.2
2,840.9
2.759.3
-2.9
28.806
25,831
-10.3
558.5
497.4
-10.9
447
504
+ 12.8
28,1
31.4
+ 11.7
861
911
+5,8
54,0
56,7
+5,0
3.970
4.115
+3.7
249.2
256.2
+2,8
11,574
11,477
-.8
726.6
714.6
-1.7
49.071
49,144
+.1
3.080.4
3,060.0
-.7
3,386
3,225
-4.8
212.6
200.8
-5.6
116
148
+27.6
18.3
23.3
+27,3
51
50
-2,0
8.0
7.9
-1.3
241
320
+32.8
38,0
50,3
+32,4
2.367
2.487
+5.1
372.8
391.0
+4,9
14,154
14,498
+2.4
2,229.0
2.279.6
+2.3
805
950
+ 18.0
126.8
149.4
+ 17.8
279
368
+31.9
39,7
51.8
+30.5
132
120
-9.1
18.8
16.9
-10.1
858
891
+3.8
122,0
125.3
+2.7
4,146
3,849
-7.2
589.8
541.4
-8.2
15,412
15,371
-.3
2.192.3
2.161.9
-1.4
808
719
-11.0
114.9
101. 1
-12.0
63
Table 4. — Index of Crime: Regie
n. Geographic Division, and State, 1991-1992— Continued
Area
Year
Population'
Crime Index total
Modified Crime
Index total-
Violent crime'
Property crime'
Murder and non-
negligent manslaughter
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rale per
100.000
Number
Rate per
100,000
Soulh
1991
1992
86,916,000
88.143.000
5,576,968
5,424,811
-2,7
6.416,5
6,154,6
-4.1
693,615
713,565
+2.9
798.0
809.6
+1.5
4,883J53
4,711,246
-3.5
5,618J
5J45.0
-4.9
10,517
9,761
-7.2
12,1
Percent change
11,1
-8J
1991
1992
44.421,000
45,061,000
2,925,235
2,896,666
-1.0
6,585.3
6,428.3
-2.4
378,009
390.742
+3.4
851.0
867.1
+ 1.9
2.547.226
2.505.924
-1.6
5.734.3
5.561.2
-3.0
5.050
4.795
-5.0
11.4
Percent change
10.6
-7.0
Delaware
1991
1992
680,000
689,000
39,912
33,406
-16.3
5,869.4
4,848.5
-17.4
4,857
4,280
-11.9
714.3
621.2
-13.0
35.055
29.126
-16.9
5.155.1
4.227.3
-18.0
37
32
-13.5
54
Percent change
4.6
-14.8
District of Columbia^
1991
1992
598,000
589,000
64,393
67,187
+43
10,768.1
11,407.0
+5,9
14,671
16,685
+ 13.7
2.453.3
2.832.8
+ 15.5
49.722
50.502
+ 1.6
8.3147
8.5742
+3.1
482
443
-8.1
806
75.2
-6.7
1991
1992
13,277,000
13,488,000
1,134,813
1,127,360
-.7
8,547.2
8,358.2
-2.2
157,243
162,827
+3.6
1.1843
1.207.2
+ 1.9
977.570
964.533
-1.3
7.362.9
7.151.0
-2.9
1.248
1.208
-3.2
9.4
Percent change
9.0
-4.3
Georgia
1991
1992
6,623,000
6,751,000
430,059
432,430
+.6
6,493.4
6,405.4
-1.4
48,894
49,496
+ 1.2
738.2
733.2
-.7
381.165
382.934
+.5
5.755.2
5.672.3
-1.4
849
741
-12.7
12.8
Percent change
II.O
-14.1
Maryland
1991
1992
4,860,000
4,908,000
301,768
305,503
+ 1.2
6,209.2
6,224.6
+.2
46,469
49,085
+5.6
956.2
1.000.1
+4.6
255.299
256.418
+.4
5.253.1
5.224.5
-.5
569
596
+47
11.7
Percent change
12.1
+3.4
North Carolina
1991
1992
6,737,000
6,843,000
396,723
397,047
+.1
5,888.7
5,802.2
-1.5
44,355
46,600
+5.1
658.4
681.0
+3.4
352.368
350.447
-.5
5.230.3
5.121.2
-2.1
769
723
-6.0
11 4
Percent change
10.6
-7.0
1991
1992
3,560,000
3,603,000
219,980
212,327
-3.5
6,179.2
5,893.1
-4.6
34,621
34,029
-1.7
972.5
944.5
-2.9
185.359
178.298
-3.8
5,206.7
4,948.6
-5.0
402
373
-7.2
11.3
Percent change
104
-8.0
Virginia
1991
1992
6,286,000
6,377,000
289,619
274.118
-5.4
4,607.4
4,298.5
-6.7
23,459
23,907
+ 1.9
373.2
374.9
+.5
266.160
250.211
-6.0
4,234.2
3,923.6
-7.3
583
564
-3.3
9.3
Percent change
8.8
-5.4
West Virginia
1991
1992
1,801,000
1,812,000
47,968
47,288
-1.4
2,663.4
2,609.7
-2.0
3,440
3,833
+ 11.4
191.0
211.5
+ 10.7
44.528
43,455
-2.4
2,472.4
2,398.2
-3.0
111
115
+3.6
6.2
Percent change
6.3
+ 1.6
East Soulh Central
1991
1992
15,347,000
15,529,000
719,305
712.653
-.9
4,686.9
4,589.2
-2.1
96,820
104,409
+7.8
630.9
672.3
+6.6
622,485
608,244
-2.3
4.056.1
3.916.8
-3.4
1.601
1,511
-5.6
10.4
Percent change
9.7
-6.7
Alabama
1991
1992
4,089,000
4,136,000
219.400
217.889
-.7
5,365.6
5,268.1
-1.8
34,518
36,052
+4.4
844.2
871.7
+3.3
184,882
181,837
-1.6
4.521.4
4,396.4
-2.8
469
455
-3.0
11.5
Percent change
11.0
-4.3
Kentucky
1991
1992
3,713,000
3,755,000
124.692
124.799
+.1
3,358.3
3,323.5
-1.0
16,262
20,107
+23.6
438.0
535.5
+22.3
108.430
104.692
-3.4
2,920.3
2,788.1
-4.5
253
216
-14.6
6.8
Percent change
5.8
-14.7
Mississippi
1991
1992
2,592,000
2,614,000
109.402
111.944
+2.3
4,220.8
4.282.5
+ 1.5
10,085
10,763
+6.7
389.1
411.7
+5.8
99.317
101.181
+ 1.9
3,831.7
3,870.7
+ 1.0
332
320
-3.6
12.8
Percent change
12.2
-4.7
Tennessee
1991
1992
4,953,000
5,024,000
265.811
258.021
-2.9
5,366.7
5,135.8
-4.3
35,955
37,487
+43
725.9
746.2
+2.8
229.856
220,534
-4.1
4.640.7
4.389.6
-5.4
547
520
-4.9
11.0
10.4
-5.5
West South Central
1991
1992
27,147,000
27,554,000
1.932.428
1.815.492
-6.1
7.118.4
6.588.9
-7.4
218,786
218,414
-.2
805.9
792.7
-1.6
1.713.642
1.597.078
-6.8
6.312.5
5.796.2
-8.2
3.866
3.455
-10.6
14.2
Percent change
12.5
-12.0
Arkansas
1991
1992
2,372,000
2,399,000
122.749
114.233
-6.9
5.1749
4.761.7
-8.0
14,072
13,831
-1.7
593.3
576.5
-2.8
108.677
100.402
-7.6
4.581.7
4.185.2
-8.7
264
259
-1.9
111
Percent change
10.8
-2.7
Louisiana
1991
1992
4,252.000
4,287,000
273.170
280.647
+2.7
6.424.5
6.546.5
+ 1.9
40,438
42,209
+4.4
951.0
984.6
+3.5
232.732
238.438
+2.5
5.473.5
5.561.9
+ 1.6
720
747
+3.8
16.9
Percent change
17.4
+3.0
Oklahoma
1991
1992
3.175,000
3,212,000
179.982
174.464
-3.1
5.668.7
5.431.6
-4.2
18,533
20,005
+7.9
583.7
622.8
+6.7
161.449
154.459
-4.3
5.0850
4.808.8
-5.4
230
210
-8.7
7.2
Percent change
6.5
-9.7
Texas .
1991
1992
17,349.000
17.656.000
1.356.527
1.246.148
-8.1
7.819.1
7.057.9
-9.7
145,743
142,369
-2.3
840.1
806.3
-4.0
1.210.784
1.103.779
-8.8
6.979.0
6.251.6
-10.4
2.652
2.239
-15.6
15.3
Percent change
12.7
-17.0
See footnotes at end of table.
64
Table 4. — Index of Crime: Region, Geographic Division, and State, 1991-
1992— Continued
Forciblc rape
Robbery
Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Arwn'
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
Rate per
100,000
Number
Rale per
100,000
39J164
40.6J1
+3.2
45J
4«.l
+ IJS
218.628
21U28
-2.9
251.5
240.9
-4.2
425,10*
450.845
+6.1
489.1
511.5
+4.6
1,302,314
1,215,309
-«.7
1,498.4
1,378J
-8.0
3,057 J08
2,986,605
-2J
3,517.5
3,388.4
-3.7
523,731
509,332
-2.7
602.6
577J
-4.1
11,41')
20,379
+•1.9
43.7
45.2
+3.4
126,869
124,407
-1,9
285.6
276.1
-3.3
226.671
241,161
+6,4
510.3
535.2
+4.9
669.996
644.286
-3.8
1.508.3
1.429.8
-5.2
1,628,120
1,609,647
-1,1
3,665.2
3.572.2
-2.5
249,110
251,991
+ 1.2
560.8
559.2
-.3
588
591
+,5
86.5
85.8
-.8
1,460
1,042
-28.6
214.7
151.2
-29.6
2,772
2,615
-5.7
407.6
379.5
-6.9
7.668
6,598
-14.0
1,127.6
957.6
-15.1
24,836
20,419
-17.8
3.652.4
2,963.6
-18.9
2,551
2,109
-17.3
375.1
306.1
-18.4
214
215
+.5
35.8
36.5
+2.0
7,269
7,459
+2,6
1.215.6
1,266.4
+4,2
6,706
8.568
+27,8
1.121.4
1.454.7
+29.7
12.405
10.721
-13.6
2,074.4
1.820.2
-12.3
29.182
30.663
+5.1
4.879.9
5.205.9
+6.7
8,135
9.118
+ 12.1
1,360,4
1,548,0
+ 13,8
6.865
7,.110
+6.5
51.7
54.2
+4.8
53.083
49.482
-6.8
399.8
366.9
-8.2
96.047
104.827
+9.1
723.4
777.2
+7.4
266,313
254,755
-4.3
2,005,8
1,888,8
-5,8
607,222
598,093
-1.5
4.573.5
4,434.3
-3.0
104,035
111.685
+7.4
783.6
828.0
+5.7
2.800
3.057
+9.2
42.3
45.3
+7.1
17,762
16,863
-5.1
268.2
249.8
-6.9
27,483
28,835
+4,9
415.0
427.1
+2.9
100,317
97,402
-2.9
1,514,7
1,442.8
-4.7
240,359
246,619
+2,6
3,629.2
3,653.1
+.7
40,489
38,913
-3.9
611.3
576.4
-5.7
2.229
2.278
+2.2
45.9
46.4
+ 1.1
19,783
21,054
+6.4
407,1
429.0
+5.4
23,888
25,157
+5.3
491.5
512.6
+4.3
56,258
55,520
-1,3
1.157.6
1,131.2
-2.3
163,524
165,244
+ 1,1
3,364.7
3,366.8
+.1
35.517
35,654
+.4
730.8
726.4
-.6
2.331
2.455
+5,3
34.6
35.9
+3.8
11.990
12,784
+6,6
178.0
186.8
+4.9
29.265
30.638
+4.7
434.4
447.7
+3.1
114,009
113,117
-,8
1,692.3
1,653.0
-2.3
218,192
217,717
-,2
3,238.7
3,181.6
-1.8
20,167
19,613
-2.7
299.3
286.6
-4.2
2.098
2.072
-1.2
58.9
57.5
-2.4
6,092
6.148
+.9
171.1
170.6
-.3
26.029
25.436
-2.3
731.2
706.0
-3.4
51,793
49,669
-4,1
1,454.9
1.378.5
-5.3
119.784
116.186
-3.0
3,364.7
3,224.7
-4.2
13,782
12,443
-9.7
387.1
345.4
-10.8
1.879
2.008
+6.9
29.9
31.5
+5.4
8.651
8.787
+ 1.6
137.6
137.8
+.1
12,346
12,548
+ 1.6
196.4
196.8
+.2
49,224
45.217
-8.1
783.1
709.1
-9.4
195,652
185,506
-5.2
3,112.5
2,909.0
-6.5
21,284
19.488
-8.4
338.6
305.6
-9.7
415
393
-5.3
23.0
21.7
-5.7
779
788
+ 1.2
43.3
43.5
+.5
2.135
2,537
+ 18,8
118.5
140.0
+ 18.1
12,009
11,287
-6.0
666.8
622.9
-6.6
29.369
29,200
-.6
1,630.7
1,611.5
-1.2
3,150
2,968
-5.8
174.9
163.8
-6.3
6.268
6.456
+3.0
40.8
41.6
+2.0
22.888
24,310
+6.2
149.1
156.5
+5.0
66,063
72,132
+9.2
430.5
464.5
+7.9
183,581
173,629
-5,4
1.196.2
1,118.1
-6.5
378,264
373,772
-1.2
2,464.7
2.406.9
-2.3
60,640
60,843
+.3
395.1
391.8
-.8
1.455
1.704
+ 17.1
35.6
41.2
+ 15.7
6.246
6,819
+9.2
152.8
164.9
+7,9
26.348
27,074
+2.8
644.4
654.6
+ 1.6
51,873
49,053
-5.4
1,268.6
1,186.0
-6.5
118,151
117.801
-.3
2,889.5
2,848.2
-1.4
14,858
14,983
+.8
363.4
362.3
-.3
1,315
1,209
-8.1
35.4
32.2
-9.0
3.084
3.273
+6.1
83.1
87.2
+4.9
11,610
15,409
+32,7
312.7
410.4
+31.2
29,576
27,378
-7,4
796.6
729.1
-8.5
70,885
69,186
-2.4
1.909.1
1,842.5
-3.5
7,969
8,128
+2.0
214.6
216.5
+.9
1.199
1.166
-2.8
46.3
44.6
-3.7
3.015
3.254
+7,9
116.3
124.5
+7.1
5.539
6,023
+8.7
213.7
230.4
+7.8
34,524
33,533
-2,9
1,331.9
1.282.8
-3.7
57,373
58,851
+2.6
2,213.5
2,251.4
+ 1.7
7,420
8,797
+ 18.6
286.3
336.5
+ 17.5
2.299
2.377
+3.4
46.4
47.3
+ 1.9
10,543
10.964
+4.0
212.9
218.2
+2.5
22,566
23.626
+4.7
455.6
470.3
+3.2
67,608
63.665
-5.8
1,365.0
1,267.2
-7.2
131,855
127,934
-3.0
2,662.1
2,546.5
-4.3
30,393
28,935
-4.8
613.6
575.9
-6.1
13.677
13.796
+.9
50.4
50.1
-.6
68,871
63.611
-7.6
253.7
230.9
-9.0
132.372
137,552
+3.9
487.6
499.2
+2.4
448.737
397,394
-11.4
1,653,0
1,442.2
-12.8
1,050,924
1,003,186
-4.5
3,871.2
3.640.8
-6.0
213,981
196,498
-8.2
788.2
713.1
-9.5
1,058
990
-6.4
44.6
41.3
-7.4
3.217
3,011
-6.4
135.6
125.5
-7.4
9,533
9.571
+.4
401.9
399.0
-.7
29,093
26,214
-9.9
1,226.5
1,092.7
-10.9
71,487
66,288
-7.3
3,013.8
2,763.2
-8.3
8,097
7.900
-2.4
341.4
329.3
-3.5
1.738
1.813
+4.3
40.9
42.3
+3.4
11,860
11,636
-1.9
278,9
271.4
-2.7
26,120
28,013
+7.2
614.3
653.4
+6.4
60,017
58,574
-2.4
1,411.5
1,366.3
-3.2
148,334
152.938
+3.1
3,488.6
3,567.5
+2.3
24.381
26,926
+ 10.4
573.4
628.1
+9.5
1.615
1,556
-3.7
50.9
48.4
-4.9
4.094
4.376
+6.9
128.9
136.2
+5.7
12,594
13.863
+ 10.1
396.7
431.6
+8.8
46,934
43,678
-6.9
1,478.2
1,359.8
-8.0
96,842
94,180
-2.7
3,050.1
2.932.1
-3.9
17.673
16.601
-6.1
556.6
516.8
-7.2
9.266
9.437
+ 1.8
53.4
53.4
49.700
44,588
-10.3
286.5
252.5
-11.9
84.125
86.105
+2.4
484.9
487.7
+.6
312,693
268,928
-14.0
1.802.4
1.523.2
-15.5
734,261
689,780
-6 1
4.232.3
3,906.8
-7.7
163.830
145,071
-11.5
944.3
821.7
-13.0
65
Table 4.— Index of Crime: Region, Geographic Division, and State, 1991-1992—
Continued
Year
Population'
Crime Index total
Modified Crime
Index total-
Violent
cnme'
Property
crime'
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
West
1991
1992
54.060.000
55,108,000
3,501,900
3,520,249
+.5
6,477.8
6,387.9
-1.4
4H688
476,121
+4.7
841.1
864.0
+2.7
3,047,212
3,044.128
5.636.7
5,523.9
-2.0
5,202
5J50
+2.8
9.6
Percent change
9.7
+1.0
1991
1992
14.035,000
14,381,000
859,620
864,572
+.6
6.124.8
6.011.9
-1.8
76,304
80,979
+6.1
543.7
563.1
+3.6
783,316
783,593
5,581.2
5,448.8
-2.4
912
946
+3.7
6.5
Percent change
6.6
+ 1.5
1991
1992
3,750,000
3,832,000
277,711
269.335
-3.0
7.405.6
7.028.6
-5.1
25,152
25,706
+2.2
670.7
670.8
252,559
243,629
-3.5
6,734.9
6,357.8
-5.6
291
312
+7.2
7.8
Percent change
8.1
+3.8
Colorado
1991
1992
3,377,000
3,470.000
205,122
206,770
+.8
6.074.1
5.958.8
-1.9
18,887
20,086
+6.3
559.3
578.8
+3.5
186.235
186.684
+.2
5,514.8
5,379.9
-2.4
199
216
+8.5
5.9
6.2
+5.1
Idaho
1991
1992
1,039.000
1,067.000
43.594
42.639
-2.2
4,195.8
3.996.2
-4.8
3,016
3,003
-.4
290.3
281.4
-3.1
40.578
39.636
-2.3
3,905.5
3,714.7
-4.9
19
37
+94.7
1.8
Percent change
3.5
+94.4
1991
1992
808.000
824.000
29.477
37.872
+28.5
3.648.1
4.596.1
+26.0
1,130
1,400
+23.9
139.9
169.9
+21.4
28.347
36.472
+28.7
3,508.3
4,426.2
+26.2
21
24
+ 14.3
2.6
2.9
+ 11.5
1991
1992
1.284.000
1.327.000
80.876
82.324
+ 1.8
6.298.8
6.203.8
-1.5
8,693
9,247
+6.4
677.0
696.8
+2.9
72.183
73.077
+ 1.2
5,621.7
5,506.9
-2.0
152
145
-4.6
11.8
Percent change
10.9
-7.6
New Mexico
1991
1992
1.548,000
1.581,000
103.396
101.723
-1.6
6.679.3
6.434.1
-3.7
12,922
14,781
+ 14.4
834.8
934.9
+ 12.0
90.474
86.942
-3.9
5,844.6
5,499.2
-5.9
163
141
-13.5
10.5
Percent change
8.9
-15.2
Utah
1991
1992
1,770.000
1.813.000
99.255
102,589
+3.4
5.607.6
5.658.5
+.9
5.077
5.267
+3.7
286.8
290.5
+ 1.3
94,178
97,322
+3.3
5.320.8
5.368.0
+.9
52
54
+3.8
2.9
Percent change
3.0
+3.4
1991
1992
460.000
466.000
20,189
21.320
+5.6
4.388.9
4.575.1
+4.2
1.427
1,489
+4.3
310.2
319.5
+3.0
18,762
19,831
+5.7
4.078.7
4.255.6
+4.3
15
17
+ 13.3
3.3
Percent change
3.6
+9.1
Pacific
1991
1992
40,025,000
40,726,000
2,642.280
2.655.677
+.5
6.601.6
6.520.8
-1.2
378,384
395.142
+4.4
945.4
970.2
+2.6
2.263,896
2.260,535
-.1
5.656.2
5.550.6
-1.9
4.290
4,404
+2.7
10.7
Percent change
10.8
+.9
1991
1992
570,000
587.000
32,499
32,693
+.6
5.701.6
5.569.5
-2.3
3,499
3,877
+ 10.8
613.9
660.5
+7.6
29.000
28.816
-.6
5,087.7
4,909.0
-3.5
42
44
+4.8
7.4
Percent change
7.5
+ 1.4
California
1991
1992
30,380,000
30.867.000
2,057,513
2.061,761
+.2
6.772.6
6.679.5
-1.4
331,122
345,624
+4.4
1,089.9
1,119.7
+2.7
1.726.391
1.716,137
-.6
5,682.7
5,559.8
-2.2
3.859
3.921
+ 1.6
12.7
Percent change
12.7
Hawaii
1991
1992
1,135.000
1,160.000
67,764
70,899
+4.6
5.970.4
6.112.0
+2.4
2,744
2.998
+9.3
241.8
258.4
+6.9
65,020
67,901
+4.4
5.728.6
5.853.5
+2.2
45
42
-6.7
4.0
Percent change
3.6
-10.0
1991
1992
2.922.000
2,977.000
168,165
173,289
+3.0
5.755.1
5.820.9
+ 1.1
14.795
15.189
+2.7
506.3
510.2
+.8
153.370
158,100
+3.1
5.248.8
5.310.7
+ 1.2
133
139
+4.5
4.6
Percent change
4.7
+2.2
1991
1992
5,018.000
5,136.000
316,339
317,035
+.2
6.304.1
6.172.8
-2.1
26.224
27.454
+4.7
522.6
534.5
+2.3
290.115
289.581
5.781.5
5.638.3
-2.5
211
258
+22.3
4.2
Percent change
5.0
+ 19.0
1991
1992
119,731
128.874
+7.6
28,145
32.286
+ 14.7
91,586
96,588
+5.5
817
864
+5.8
Percent change
'Populations are Bureau of the Census provisional eslimales as of July 1 and 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.
^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.
•Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Police were not in accordance with national
UCR guidelines. The 1991 and 1992 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by like agencies. See "Offense Estimation." page 376 for
details,
*Data for 1991 were not available for the Stale of Iowa; therefore, it was necessary that iheir crime counts be estimated. See "Offense Estimation." page .^76 for details.
'Includes offenses reported by the Zoological Police.
'The 1992 Bureau of Census population estimate for Puerto Rico was not available prior to publication: therefore, no population or rates per 100, (K)0 inhabitants are provided.
Offense totals are based on all reporting agencies and estimates for unreported areas.
66
Table 4.—
ndex of Crime: Region, Geographic Division, and State, 1991-
1992— Continued
Forcible rape
Robbery
Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Amoti'
Number
Raie per
100.000
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rale per
100,000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rale per
100,000
25,108
25.70.'
+2.4
46,4
46.6
+.4
155,397
162.568
+4.6
287.5
295.0
+2.6
268.981
282,500
+5.0
497.6
512.6
+3.0
715,573
701.588
-2.0
1,323.7
1,273.1
-3.8
1,904,075
1,902,076
-.1
3,522.2
3,451.5
-2.0
427,564
440,464
+3.0
790.9
7WJ
+1.1
6,646
+6.8
44.3
46.2
+4.3
17.137
18,195
+6.2
122.1
126.5
+3.6
52,031
55,192
+6.1
370.7
383.8
+3.5
174,965
165.364
-5,5
1.246.6
1.149.9
-7.8
539.426
545.241
+ 1.1
3,843.4
3.791.4
-1.4
68.925
72,988
+5.9
491.1
507.5
+3.3
1,647
+.V6
42.4
43.0
+ 1.4
6,215
5,867
-5.6
165.7
153.1
-7.6
17,056
17,880
+4.8
454.8
466.6
+2.6
60,281
54.095
-10,3
1.607.5
1,411.7
-12.2
159.987
158.053
-1.2
4,2663
4.124.6
-3,3
32,291
31,481
-2.5
861.1
821.5
-4.6
1.588
1.641
+3.3
47.0
47.3
+.6
3,628
4,180
+ 15.2
107.4
120.5
+ 12.2
13,472
14,049
+4,3
398.9
404.9
+ 1.5
39,117
37,853
-3.2
1,158.3
1,090.9
-5.8
132,717
131,169
-1.2
3,930.0
3,780.1
-3.8
14,401
17,662
+22.6
426.4
509.0
+ 19.4
300
339
+ 13.0
28.9
31,8
+ 10.0
215
229
+6.5
20.7
21.5
+3.9
2.482
2.398
-3.4
238.9
224.7
-5.9
8,582
7,934
-7.6
826.0
743.6
-10,0
30,143
30,023
-.4
2,901.2
2,813.8
-3.0
1,853
1,679
-9.4
178.3
157.4
-11.7
160
:io
+31.3
19.8
25.5
+28.8
150
222
+48.0
18.6
26.9
+44.6
799
944
+ 18.1
98.9
114.6
+ 15.9
4.231
5.306
+25.4
523.6
643.9
+23,0
22,449
29.243
+30.3
2,778,3
3,548.9
+27,7
1,667
1,923
+ 15,4
206.3
233.4
+ 13.1
848
833
-1.8
66.0
62.8
-4.8
4,012
4,397
+9.6
312.5
331.3
+6.0
3,681
3,872
+5.2
286.7
291.8
+ 1.8
18.026
17,108
-5.1
1,403.9
1.289.2
-8.2
45,781
46,714
+2,0
3.565.5
3.520.3
-1.3
8.376
9,255
+ 10,5
652.3
697.4
+6.9
811
990
+22.1
52.4
62.6
+ 19.5
1,862
2,202
+ 18.3
120.3
139.3
+ 15.8
10.086
11.448
+ 13,5
651.6
724.1
+ 11.1
26,672
23,896
-10.4
1.723.0
1.511.4
-12.3
58,441
57,072
-2.3
3,775.3
3.609.9
-4,4
5,361
5,974
+ 11,4
3463
377.9
+9.1
808
823
^1.9
45.6
45.4
-.4
976
1,014
+3.9
55.1
55.9
+ 1.5
3,241
3,376
+4,2
183.1
186.2
+ 1.7
14,872
16,045
+7,9
840.2
885.0
+5,3
75,041
76,964
+2.6
4,239.6
4,245.1
+.1
4,265
4,313
+ 1.1
241.0
237,9
-1.3
119
163
+ 370
25.9
35.0
+35.1
79
84
+6.3
17.2
18.0
+4.7
1,214
1,225
+.9
263.9
262.9
-.4
3,184
3,127
-1.8
692.2
671.0
-3.1
14,867
16,003
+7.6
3.232.0
3.434.1
+63
711
701
-1.4
154.6
150.4
-2.7
18,884
19,057
+.9
47.2
46.8
-.8
138.260
144,373
+4.4
345.4
354.5
+2.6
216,950
227,308
+4.8
542.0
558.1
+3,0
540,608
536.224
-.8
1,350.7
1,316,7
-2,5
1,364,649
1,356,835
-,6
3,409.5
3.331.6
-2.3
358,639
367,476
+2.5
896.0
902.3
+.7
523
579
+ 10.7
91.8
98.6
+7.4
645
640
-.8
113.2
109.0
-3.7
2,289
2.614
+ 14.2
401,6
445,3
+ 10.9
5,582
5,170
-7.4
979,3
880,7
-10.1
20,375
20,728
+ 1.7
3,574.6
3,531.2
-1.2
3,043
2,918
-4.1
533.9
497.1
-6.9
12,896
12,761
-1.0
42.4
41.3
-2.6
124,939
130.897
+4.8
411.3
424.1
+3.1
189.428
198.045
+4.5
623.5
641,6
+2,9
424,656
427,491
+.7
1.397.8
1,384.9
-.9
986,120
968,534
-1.8
3,246.0
3,137.8
-3.3
315,615
320,112
+ 1.4
1,038.9
1.037.1
-.2
375
440
+ 17.3
33.0
37.9
+ 14.8
986
1.151
+ 16.7
86.9
99.2
+ 14.2
1,338
1,365
+2.0
117,9
117,7
-.2
14,011
13,006
-7.2
1,234.4
1.121.2
-9.2
47,195
50.544
+7.1
4,158.1
4,357.2
+4.8
3,814
4,351
+ 14.1
336,0
375.1
+ 11.6
1,561
1,580
-^1.2
53.4
53.1
-.6
4,387
4.507
+2.7
150.1
151.4
+.9
8,714
8,963
+2.9
298.2
301.1
+ 1.0
34,363
32,945
-4.1
1,176.0
1,106.7
-5.9
105,145
109,274
+3,9
3,598.4
3,670.6
+2.0
13.862
15.881
+ 14.6
474.4
533.5
+ 12.5
3.529
3.697
*4.8
70.3
72.0
+2.4
7.303
7,178
-1.7
145.5
139.8
-3.9
15,181
16.321
+7.5
302.5
317.8
+5.1
61,996
57,612
-7.1
1,235.5
1,121.7
-9.2
205,814
207,755
+.9
4.101.5
4.045.1
-1.4
22,305
24,214
+8.6
444,5
471.5
+6.1
424
433
+2.1
20,003
24,242
+21.2
6.901
6.747
-2.2
33,649
35,415
+5.2
38.916
42,315
+8.7
19.021
18,858
-.9
67
Table 5.— Index of Crime, State, 1992
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
ALABAMA
Metropolitan Statistical
Area
Area actually reporting ...
Estimated totals
Cities outside metropolitan areas
Area actually reporting ...
Estimated totals
Rural
Area actually reporting ...
Estimated totals
SUte 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 ...
Stale 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 ...
Slate 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 ...
SUte Total
Rate per 100,000
inhabitants
Sec footnotes at end of table.
2,774,796
89.9%
163,947
100.0%
175,698
572,282
79.3%
25,224
100.0%
31,821
788.922
73.8%
7,653
100.0%
10,370
4,136,000
217,889
5,268.1
241,565
100.0%
17,045
153,096
87.5%
7.319
100.0%
8,369
192,339
100.0%
7.279
587,000
32,693
5,569.5
3,250,143
96.6%
240,410
100.0%
246,754
293,000
94.7%
16,787
100.0%
17,718
288,857
100.0%
4,863
3,832,000
269,335
7,028.6
1,061,493
99.8%
72,800
100.0%
72,946
520.832
99.2%
29,056
100.0%
29,277
816,675
100.0%
12.010
2,399,000
114,233
4.761.7
29,630,870
99.9%
2,005,541
100.0%
2,006,065
538.451
99.2%
34,317
100.0%
.34.580
697.679
100.0%
21,116
30,867,000
2,061,761
6,679.5
27,210
28,816
4,470
5,639
1,178
1,597
36,052
871.7
1,971
1,016
890
3,877
660.5
23,181
23,660
1,250
1,319
727
25,706
670.8
9.707
9,718
2,981
3,004
1,109
13,831
576.5
339,239
339,310
3,570
3,597
2,717
345,624
1,119.7
136.737
146,882
20,754
26,182
6,475
8,773
181,837
4,396.4
15,074
6,431
7,353
6,389
28,816
4,909.0
217,229
223.094
15,537
16,399
4,136
243,629
6,357.8
63,093
63,228
26,075
26,273
10,901
100,402
4,185.2
1,666,302
1,666,755
30,747
30,983
18,399
1,716,137
5.559.8
352
373
36
45
27
37
455
11.0
7.5
282
288
10
13
312
119
119
71
259
10.8
3,847
3.848
33
33
40
3,921
12.7
1,277
1,359
165
208
101
137
1,704
41.2
253
122
140
186
579
98.6
1,478
1,516
81
85
46
1,647
43.0
654
655
191
192
143
990
41.3
12,302
12,305
241
243
213
12,761
41.3
5,859
6,140
454
573
78
106
6,819
164.9
484
99
113
43
640
109.0
5,546
5,632
207
218
17
5,867
153.1
2,281
2,284
630
635
92
3,011
125.5
130,166
130,191
512
516
190
130,897
424.1
19,722
20,944
3,815
4,813
972
1,317
27,074
654.6
1.217
659
754
643
2,614
445.3
15,875
16,224
952
1.005
651
17,880
466.6
6,653
6,660
2,092
2,108
803
9,571
399.0
192.924
192.966
2.784
2,805
2,274
198,045
641.6
36,054
38,797
4,944
6,237
2,966
4,019
49,053
1,186.0
2,650
746
853
1.667
5,170
880.7
48,374
49,686
2,752
2,905
1,504
54,095
1,411.7
15,278
15,303
6,826
6.878
4,033
26.214
1.092.7
412,994
413,103
7,352
7,408
6,980
427,491
1,384.9
88,175
94,859
14,881
18,773
3,077
4,169
117,801
2,848.2
10.813
5,063
5,789
4,126
20,728
3,531.2
139,272
143,200
11,873
12,531
2,322
158,053
4,124.6
42.018
42,120
17,903
18,039
6,129
66,288
2,763.2
936.389
936.659
21,343
21,507
10,368
968,534
3,137.8
68
Table 5.— Index of Crime. State. 1992— Continued
COLORADO
Melropolilan Slalistical
Area
Area actually reporting —
Estimated totals
Cities outside metropolitan areas
Area actually reporting —
Estimated total
Rural
Area actually reporting ....
Estimated totals
Stale Toul
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
Rate per 100,000
inhabitants
Population
DELAWARE
'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
DISTRICT OF COLUMBIA'
Metropolitan Statistical
Area
Area actually reporting —
Cities outside metropolitan areas
Rural
SUte 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 ....
State Total
Rate per 100.000
inhabitants
See footnotes at end or table.
3,026,682
100.0%
66,274
100.0%
188,044
100.0%
3.28!,00O
Crime
Index
total
2,821,939
96.7%
169,217
100.0%
175.610
299,462
99.0%
20.941
100.0%
21.148
348,599
99.5%
9,964
100.0%
10,012
3,470.000
206.770
575.611
99.9%
28,152
100.0%
28,211
28,013
98.8%
2,072
100.0%
2,095
85,376
100.0%
3,100
689.000
33,406
589,000
100.0%
NONE
NONE
589,000
12,418,935
99.9%
100.0%
232.573
93.1%
100.0%
836.492
100.0%
13,488.000
5,958.8
159,7.36
2,518
3,533
165.787
5,052.9
Modified
Crime
Index
total'
4,848.5
67,187
67,187
11,407.0
1.073,905
1,075,004
17,752
19,071
33,285
1,127,360
8,358.2
Violent
crime-
Property
crime'
Murder
and non-
negligent
man-
slaughter
17,501
18,110
1,277
1,289
684
687
20,086
578.8
15,651
98
503
16,252
495.3
3,447
3,453
260
263
564
4.280
621.2
16,685
16,685
2,832.8
155,320
155,451
2,293
2,463
4,913
162,827
1,207.2
151,716
157,500
19,664
19,859
9,280
9,325
186.684
5,379.9
144.085
2,420
3,030
149.535
4,557.6
24,705
24,758
1,812
1,832
2.536
29,126
4,227.3
50.502
50,502
8,574.2
918,585
919,553
15,459
16,608
28,372
964,533
7.151.0
Forcible
rape
179
182
15
15
19
19
216
6.2
160
3
3
166
5.1
26
26
4
4
2
32
4.6
443
443
75.2
1.139
1,140
50
1.208
9.0
Robbery
1,445
1,485
126
127
29
29
1,641
47.3
834
12
38
884
26.9
454
455
26
26
110
591
85.8
215
215
36.5
6,797
6,801
87
93
416
7.310
54.2
Aggra-
vated
as^ull
3,934
4,038
102
103
39
39
4,180
120.5
6.847
30
41
6,918
210.9
958
959
44
45
38
1,042
151.2
7,459
7,459
1,266.4
48,307
48,347
514
552
583
49,482
366.9
Burglary
11,943
12,405
1,034
1,044
597
600
14,049
404.9
7.810
53
421
8,284
252.5
2.009
2,013
186
414
2,615
379.5
8.568
8.568
1,454.7
99.077
99,163
1,675
1,800
3,864
104,827
777.2
31,914
32,915
2,823
2,851
2,077
2,087
37,853
1,090.9
34.797
549
1,026
36.372
Larceny-
IhcH
1,108.6 2,726.7
5,320
5,327
286
289
982
6.598
957.6
10,721
10,721
1,820.2
240.576
240,810
3,767
4,047
9,898
254.755
103,670
108,027
16,143
16,.303
6.806
6,839
131,169
3,780.1
86.038
1.718
1,707
89,463
Molor
vehicle
I heft
17,390
17,434
1,484
1,501
1,484
20,419
2.963.6
30,663
30,663
5,205.9
569,267
569,904
10,784
11,586
16,603
598,093
4,434.3
16,132
16,558
698
705
397
399
17.662
509.0
23,250
153
297
23.700
722.3
1.995
1.997
42
42
70
2.109
306.1
9,118
9,118
1,548.0
108,742
108,839
908
975
1,871
111,685
828.0
69
Table 5.— Index of Crime, State, 1992— Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Aggra-
vated
assault
Burglary
Larceny-
Ihef)
GEORGIA
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
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
Slate Total
Rate per 100.000
inhabitants
ILLINOIS'
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
INDIANA
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
See footnotes at end of table.
4.554.910
99.0%
336,671
100.0%
339,851
829,275
92.3%
52,693
100.0%
57,073
1,366.815
90.9%
32,274
100.0%
35,506
6,751,000
432,430
6,405.4
875,297
100.0%
53,558
38,785
100.0%
2,757
245,918
100.0%
14,584
,160,000
70,899
6,112.0
313,650
100.0%
15,103
364,198
99.2%
19,800
100.0%
19,967
389,152
96.3%
7,286
100.0%
7,569
,067,000
42,639
3,996.2
9,753,210
96.3%
100.0%
948,182
88.8%
100.0%
929,608
93.8%
100.0%
11,631,000
670,564
5,765.3
4,047,261
82.7%
190,338
100.0%
217,137
564,780
70.1%
20,003
100.0%
28.552
1,049,959
41.9%
8,249
100.0%
19,686
5,662,000
265,375
37,688
37,941
6,594
7,143
4,011
4,412
49,496
733.2
2,382
109
507
2,998
258.4
1,040
1,298
1,309
629
654
3,003
281.4
4,686.9
113,664
977.3
21,907
24,007
1,590
2.270
1.053
2,514
28,791
508.5
298,983
301.910
46,099
49,930
28,263
31,094
382,934
5,672.3
51,176
2,648
14,077
67,901
5.853.5
14,063
18,502
18,658
6.657
6.915
39,636
3,714.7
493,335
508,237
33,019
37,163
10,783
11,500
556,900
4,788.1
168,431
193,130
18,413
26,282
7,196
17.172
236,584
4,178.5
561
564
70
76
92
101
741
11.0
3.6
10
13
13
13
14
37
3.5
1,261
1,279
21
24
19
1,322
11.4
317
342
17
24
41
98
454
8.2
2.402
2.422
320
347
262
288
3,057
45.3
326
18
96
440
37.9
144
114
115
77
80
339
31.8
4,312
37.1
1.787
1.997
130
186
90
215
2,398
42.4
14.767
14.861
1.431
1,550
411
452
16,863
249.8
1.013
23
115
1,151
99.2
126
72
73
29
30
229
21.5
46,982
47,398
455
512
59
63
47,973
412.5
5,955
6,366
303
433
51
122
6,921
122.2
19,958
20,094
4,773
5,170
3,246
3,571
28,835
427.1
1.012
67
286
1,365
117.7
760
1,099
1,108
510
530
2,398
224.7
57,112
57,857
1.533
1.725
445
475
60,057
516.4
13.848
15.302
1,140
1,627
871
2,079
19,008
335.7
73,450
74.104
10.952
11.862
10.395
11.436
97,402
1,442.8
9,106
569
3.331
13,006
1,121.2
2,754
3,066
3,092
2,010
2,088
7,934
743.6
110,007
112,917
7,204
8.108
4.014
4.281
125,306
1.077.3
37.407
42.814
3.610
5.153
2.489
5.940
53,907
952.1
191,345
193.330
33,108
35,860
1 5,842
17,429
246,619
3,653.1
38,563
1,960
10,021
50.544
4,357.2
10,698
14,721
14.845
4.313
4.480
30,023
2.813.8
314.388
324.986
24.803
27.916
6.297
6.716
359,618
3.091.9
110,306
127,351
13.814
19.717
4.238
10.113
157,181
2.776.1
70
T«ble 5.— Index of Crime. State, 1992— Continued
Population
Cnmc
Index
lolal
Modified
Crime
Index
total'
Violent
cnme^
Property
crime'
Murder
and non-
negligcnt
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Iheft
Motor
vehicle
theft
IOWA
Metropolitan Statistical
Area
Area aciually 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
KANSAS
Metropolitan Statistical
Area
Area actually reporting ...
Estimated totals
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting ...
Sttte 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 ...
Sute 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.
1.215,362
97.6%
68.774
100.0%
70.263
691,763
85.5%
25,530
100.0%
29,862
904,875
72.5%
8,087
100.0%
11,150
2,812,000
111.275
1,730,279
99.8%
100.0%
613,298
99.7%
100.0%
1,411,423
100.0%
3.755,000
3,957.1
1,359,013
99.8%
89,733
100.0%
89,826
699,606
95.2%
34,116
100.0%
35.845
464,381
100.0%
8,551
2.523,000
134.222
5,319.9
80,485
80,684
24,468
24,540
19,575
124,799
3,323.5
3,103,502
90.1%
222,175
100.0%
240,845
368,742
46.7%
10,391
100.0%
22,249
814,756
53.1%
9,318
100.0%
17,553
4.287,000
280.647
6,546.5
455,621
100.0%
20,638
447,012
96.0%
15,817
100.0%
16,484
332,367
100.0%
6,394
,235,000
43.516
3,523.6
5,730
5,815
1,255
1,468
387
533
7.816
278.0
9,504
9,511
2,477
2,602
775
12.888
510.8
11,561
11,592
3,963
3,974
4,541
20.107
535.5
33,684
35,971
1,314
2,813
1,818
3,425
42.209
984.6
884
425
443
289
1,616
130.9
63.044
64,448
24,275
28,394
7,700
10,617
103,459
3,679.2
80,229
80.315
31,639
33,243
7,776
121,334
4,809.1
68,924
69,092
20,505
20,566
15,034
104,692
2,788.1
188,491
204,874
9,077
19,436
7,500
14,128
238.438
5,561.9
19,754
15,392
16,041
6,105
41,900
3.392.7
1.6
123
123
7
151
6.0
94
216
5.8
590
617
30
64
35
66
747
17.4
1.7
371
378
69
81
50
69
528
18.8
728
729
224
235
78
1,042
41.3
627
628
164
164
417
1.209
32.2
1,391
1,514
52
III
100
188
1,813
42.3
131
92
71
294
23.8
952
962
113
132
14
19
1,113
39.6
2,983
2,984
241
253
40
3,277
129.9
2,667
2,672
448
449
152
3,273
87.2
10,742
11,230
129
276
69
130
11,636
271.4
207
32
288
23.3
4,379
4,447
1,069
1,250
315
434
6,131
218.0
5,670
5,675
1,992
2,093
650
8.418
333.7
8,171
8,196
3,325
3,335
3,878
15,409
410.4
20,961
22,610
1,103
2,362
1,614
3,041
28.013
653.4
536
285
297
180
1,013
82.0
12,728
12,995
4,230
4,948
2,360
3,254
21,197
753.8
21,949
21,969
7,260
7,628
3,042
32,639
1,293.7
16,724
16,759
4,698
4,712
5,907
27,378
729.1
45,977
49,653
2,224
4,762
2,208
4,159
58,574
1,366.3
4,599
2,776
2,893
2,664
10.156
822.3
47,481
48,560
19,138
22,385
4,963
6,843
77.788
2,766.3
51,581
51,643
23,297
24,478
4,405
80.526
3,191.7
46,494
46,618
14,665
14,709
7,859
69.186
1,842.5
118,430
129,547
6,554
14,034
4,967
9,357
152.938
3,567.5
14,239
12,074
12.583
3.144
29,966
2,426.4
2,835
2,893
907
1,061
377
520
4,474
159.1
6,699
6,703
1,082
1,137
329
8,169
323.8
5,706
5,715
1,142
1,145
1,268
8,128
216.5
24,084
25,674
299
640
325
612
26,926
628.1
916
542
565
297
1,778
144.0
71
Table 5.— Index of Crime, State, 1992— Continued
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime^
Property
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
MARYLAND
Metropolitan Statistical
Area
Area actually reporting . . .
Cities outside metropolitan 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 ...
Stale 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 ...
State Total
Rate per 100,000
inhabitants
MINNESOTA
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
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.
4,556,384
100.0%
289,457
87,892
100.0%
9,096
263,724
100.0%
6,950
4,908,000
305,503
6,224.6
5,711,721
84.3%
253,785
100.0%
286,162
274,132
50.9%
7,021
100.0%
13,792
12,147
100.0%
117
5,998,000
300,071
5,002.9
7,814,215
99.4%
474,750
100.0%
477,389
609,655
97.8%
23,254
100.0%
23,778
1,013,130
100.0%
28,305
9,437,000
529,472
5,610.6
3,084,463
99.4%
162,339
100.0%
163,193
521,812
100.0%
24,319
873,725
100.0%
18,152
4,480,000
205,664
4,590.7
788,148
75.5%
47,231
100.0%
53,952
677,944
68.3%
32,011
100.0%
46.886
1,147,908
33.4%
3,706
100.0%
11,106
2,614,000
111,944
46,833
1,136
1.116
49,085
1,000.1
40,796
44,892
919
1,805
30
46,727
779.0
68,247
68,496
1,479
1,512
2,664
72,672
770.1
13,335
13,371
4,282.5
889
884
15,144
338.0
4,431
5,090
2,813
4,120
518
1,553
10,763
411.7
242.624
7,960
5,834
256,418
5,224.5
212,989
241,270
6,102
11,987
87
253,344
4,223.8
406,503
408,893
21,775
22,266
25,641
456,800
4.840.5
149.004
149.822
23.430
17,268
190,520
4,252.7
42,800
48,862
29,198
42,766
3,188
9,553
101,181
3,870.7
577
10
9
596
12.1
195
209
I
214
3.6
901
902
30
938
9.9
122
122
19
150
3.3
111
132
83
122
22
66
320
12.2
2,118
63
97
2,278
46.4
1,863
2,042
62
122
2
2,166
36.1
6,039
6,063
385
394
1,093
7,550
80.0
1,523
1,527
159
154
1,840
41.1
478
631
228
334
67
201
1,166
44.6
20,713
233
108
21,054
429.0
10,409
10,967
46
90
2
11,059
184.4
20,647
20,703
103
105
94
20,902
221.5
4,811
4,819
63
24
4,906
109.5
1,833
1,993
728
1,066
65
195
3,254
124.5
23,425
830
902
25,157
512.6
28,329
31,674
809
1,589
25
33,288
555.0
40,660
40,828
985
1,007
1,447
43,282
458.6
6.879
6,903
658
687
8,248
184.1
2,009
2,334
1,774
2,598
364
1,091
6,023
230.4
51,834
1,770
1,916
55,520
1,131.2
54.370
61.251
1.547
3.039
28
64318
1.072.3
84,898
85,290
3,114
3,184
9,783
98,257
1,041.2
30,757
30,890
3,163
5,806
39,859
889.7
13,366
15,715
9.004
13.188
1.545
4.630
33,533
1.282.8
155,737
5,913
3,594
165,244
3,366.8
116.616
133.576
4.070
7.995
39
141,610
2.361.0
264,581
266,334
17,944
18.349
14.803
299,486
3,173.5
104.793
105.427
19.089
10.234
134,750
3,007.8
23,949
27,207
18,689
27,374
1,425
4,270
58.851
2,251.4
72
Table 5.— Index of Crime, State. 1992— Continued
Population
Cnmc
Index
total
MoJificd
Crime
Index
total'
Violent
crimc-
Propcny
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbcr>
Aggra-
vated
assault
Burfilary
Larceny-
thefl
Motor
vehicle
thefl
MISSOURI
Melropolitan Statistical
Ai^a
Area actually reporting ...
Eslimateil totals
Cities outside metropolitan areas
Area actually reporting —
Esiimated totals
Rural
Area actually reporting ...
Estimated totals
State Total
Rale per 100,000
inhabitants
MONTANA
Metropolitan Statistical
Area
Area actually reporting —
Cities outside metropolitan areas
Area actually reporting —
Estimated totals
Rural
Area actually reporting . . .
Estimated totals
Stale 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 ...
State Total
Rate per 100.000
inhabitants
NEVADA
Metropolitan Statistical
Area
Area actually reporting ...
Estimated totals
Cities outside metropolitan areas
Area actually reporting ...
Estimated totals
Rural
Area actually reporting ...
Estimated totals
Sute Tottl
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 ...
Esiimated totals
Sute Total
Rate per 100,000
inhabitants
See footnotes at end of table.
3,542.676
94.7%
221,766
100.0%
227,766
481,073
87.4%
20,854
100.0%
23,854
1.169,251
66.1%
8.642
100.0%
13,074
5,193.000
264.694
197.220
100.0%
202,389
85.1%
100.0%
424,391
95.3%
100.0%
824,000
5.097.1
12.898
11.492
13,497
10,932
11,477
37,872
4.596.1
801.259
100.0%
46,465
383.075
99.2%
16,496
100.0%
16.629
421.666
100.0%
6.350
1,606,000
69,444
4.324.0
1.119.523
93.5%
71.228
100.0%
74,494
40,106
52.9%
1,486
100.0%
2,808
167,371
69.1%
3,471
100.0%
5,022
1,327,000
82,324
6.203.8
656,359
93.5%
20,413
100.0%
21,729
323,835
90.1%
10,481
100.0%
11,626
130.806
92.5%
805
100.0%
870
,111,000
34,225
3,080.6
34,462
34,968
1,690
1,933
1,022
1,547
38.448
740.4
330
398
468
573
602
1,400
169.9
4.767
552
557
274
5,598
348.6
7.980
8.286
99
187
535
774
9.247
696.8
746
791
460
510
89
96
1,397
125.7
187,304
192,798
19,164
21,921
7,620
11.527
226,246
4.356.7
12.568
1 1 .094
13.029
10.359
10.875
36,472
4.426.2
41.698
15.944
16.072
6.076
63,846
3.975.5
63.248
66.208
1.387
2,621
2.936
4.248
73,077
5.506.9
19.667
20.938
10.021
11.116
716
774
32,828
2,954.8
480
487
21
24
24
36
547
10.5
2.9
52
4.2
129
135
2
4
4
6
145
10.9
1.6
1,549
1,591
128
146
104
158
1,895
36.5
60
62
73
73
77
210
25.5
354
59
504
31.4
699
760
18
34
27
39
833
62.8
195
209
163
181
31
34
424
38.2
11,365
11,454
229
262
44
67
11,783
226.9
131
51
60
30
31
222
26.9
825
12
911
56.7
4,247
4,324
15
28
31
45
4,397
331.3
281
290
65
72
5
5
367
33.0
21,068
21,436
1.312
1.501
850
1.286
24,223
466.5
137
282
331
453
476
944
114.6
3.536
378
381
198
4,115
256.2
2,905
3.067
64
121
473
684
3,872
291.8
257
278
229
254
52
56
588
52.9
46.221
47.602
3.807
4.355
3.418
5.170
57,127
I.IOO.I
1.910
1.021
1.199
2.093
2.197
5,306
643.9
7.317
2.498
2.518
1.642
11,477
714.6
14,381
15.123
415
784
830
1.201
17.108
1.289,2
4,262
4,518
1,852
2,054
312
337
6,909
621.9
117,097
120,774
14,596
16,696
3,846
5,818
143,288
2.759.3
9.962
9.640
11.321
7.582
7.960
29,243
3,548.9
31.957
12.915
13.019
4.168
49,144
3.060.0
40,201
42,183
890
1,682
1,969
2,849
46.714
3,520.3
13,734
14.636
7.852
8.710
377
408
23.754
2.138.1
23.986
24.422
761
870
356
539
25.831
497.4
696
433
509
684
718
1.923
233.4
2.424
531
535
266
3.225
200.8
8.666
8.902
82
155
137
198
9,255
697.4
1.671
1,784
317
352
27
29
2.165
194.9
73
Table 5.— Index of Crime, State, 1992— Continued
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
Clime-
Properly
crime'
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
NEW JERSEY
Metropolitan Statistical
Area
Area actually repelling ...
Cities outside metropolitan areas
Rural
State 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
Rate 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 ...
Estimated totals
Slate 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 (able.
7,789,000
100.0%
NONE
NONE
7,789,000
394,463
394,463
5,064.4
878,392
74.9%
51,630
100.0%
61,279
411,631
60.9%
18,825
100.0%
30,923
290,977
56.7%
5,394
100.0%
9,521
,581,000
101,723
16,634,346
98.9%
100.0%
649,460
98.2%
100.0%
835,194
96.2%
100.0%
18,119,000
6,434.1
1,008,524
1,014,910
25,816
26,287
19,515
20,292
1,061,489
5,858.4
4,463,505
99.3%
294,127
100.0%
296,062
701,605
92.3%
55,266
100.0%
59,848
1,677,890
98.3%
40,450
100.0%
41,137
6,843,000
397,047
5,802.2
256,342
99.8%
11.122
100.0%
11.147
146.416
93.1%
4.686
100.0%
5.033
233.242
94.4%
2.158
100.0%
2.285
636,000
18,465
2.903.3
48.745
48,745
625.8
7.668
8.860
2.458
4.037
1.067
1,884
14,781
934.9
198,579
199,122
2,176
2,216
1,897
1,973
203,311
1,122.1
35,412
35,611
6,523
7,064
3,859
3,925
46,600
681.0
392
393
82
87
48
50
530
83.3
345,718
345,718
4,438.5
43,962
52,419
16,367
26,886
4,327
7,637
86,942
5,499.2
809,945
815,788
23,640
24,071
17,618
18,319
858,178
4,736.3
258,715
260,451
48.743
52,784
36,591
37,212
350,447
5,121.2
10,730
10,754
4,604
4,946
2,110
2,235
17,935
2,820.0
397
397
5.1
57
69
19
31
23
41
141
8.9
2,350
2,355
16
16
25
26
2,397
13.2
484
486
78
84
150
153
723
10.6
2
2
12
1.9
2,392
2,392
30.7
399
484
178
292
121
214
990
62.6
4,789
4,814
161
164
167
174
5,152
28.4
1,926
1,936
228
247
267
272
2,455
35.9
94
94
32
34
19
20
148
23.3
22,216
22,216
285.2
1,633
1,749
191
314
79
139
2,202
139.3
107.578
107.791
261
266
93
97
108,154
596.9
10,912
10,967
1,285
1,392
418
425
12,784
186.8
23,740
23,740
304.8
5,579
6,558
2,070
3,400
844
1,490
11,448
724.1
83,862
84.162
1.738
1,770
1,612
1.676
87,608
483.5
22,090
22.222
4.932
5,341
3,024
3,075
30,638
447.7
247
248
43
46
25
26
320
50.3
75,508
75,508
969.4
11,878
14,491
3,860
6,341
1.736
3,064
23,896
1,511.4
181.177
182.436
4,389
4.469
6,389
6,643
193348
1,068.2
80,505
81,027
13,318
14,422
17,373
17,668
113,117
1,653.0
1,295
1,298
524
563
591
626
2,487
391.0
206.686
206,686
2,653.6
28,379
33,664
11,838
19,446
2,245
3,962
57,072
3,609.9
461,714
465,550
18,678
19,019
10,713
11,139
495,708
2,735.8
163,534
164,659
33.172
35.922
16,850
17,136
217,717
3,181.6
8,843
8,863
3,896
4,185
1.369
1,450
14,498
2,279.6
63,524
63,524
815.6
3,705
4,264
669
1,099
346
611
5,974
377.9
167,054
167,802
573
583
516
537
168,922
932.3
14,676
14,765
2,253
2,440
2,368
2,408
19,613
286.6
592
593
184
198
150
159
950
149.4
74
Table S.— Index of Crime, State, 1992— Continued
ModiHed
Murder
Area
Population
Crime
Index
Iota!
Crime
Index
lolal'
Violcnl
crime-
Properly
crime'
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larccny-
Iheft
Motor
vehicle
theft
Araon'
OHIO
Melropoliian Stalislical
Area
8.963.351
Area aciually reporting
85.9%
417.735
51,130
366,605
637
4.842
20.542
25.109
85.737
234,507
46,361
Eslimaied totals
100.0%
459.625
54,096
405,529
662
5,212
21,403
26.819
93,443
262,591
49,495
Cities outside metropolitan areas . .
744.925
Area actually reporting
76.4%
27.241
1,892
25,349
27
247
315
1.303
4,101
20,181
1,067
Estimated totals
100.0%
35.659
2,476
33,183
35
323
412
1.706
5,368
26,418
1,397
Rural
1.307.724
Area actually reporting
62.6%
11.687
854
10.833
17
128
69
640
3,472
6,739
622
Estimated totals
100.0%
18.668
1,363
17.305
27
204
1 10
1.022
5,546
104,357
10,765
299,774
994
Stale Total
11,016,000
513,952
57,935
456,017
724
5,739
21,925
29,547
51,886
Rale per 100.000
inhabitants
4.665.5
525.9
4.139.6
6.6
52.1
199.0
268.2
947.3
2,721.3
471.0
OKLAHOMA
Metropolitan Statistical
Area
1.909.683
Area actually reporting
100.0%
129.471
15.416
114.055
133
1.197
3,897
10.189
30.890
68,829
14.336
Cities outside metropolitan areas . .
669.873
Area actually reporting
99.8%
34,468
3.653
30.815
42
278
428
2.905
8.648
20,508
1,659
Estimated totals
100.0%
34.554
3,662
30.892
42
279
429
2.912
8.670
20,559
1.663
Rural
632.444
Area actually reporting
100.0%
10.439
927
9.512
35
80
50
762
4.118
4,792
602
State Total
3,212,000
174,464
20,005
154,459
210
1,556
4,376
13,863
43,678
94,180
16.601
Rate per 100.000
inhabitants
5,431.6
622.8
4.808.8
6.5
48.4
136.2
431.6
1.359.8
2,932.1
516.8
OREGON
Metropolitan Statistical
Area
2.078.296
Area actually reporting
99.9%
132,730
13.082
119.648
105
1.215
4,136
7.626
24,633
81,188
13,827
Estimated totals
100.0%
132,743
13.082
119.661
105
1,215
4,136
7.626
24,635
81,198
13,828
414.028
Area actually reporting
94.6%
26,550
1.155
25,395
15
159
277
704
4,282
19,942
1,171
Estimated totals
100.0%
28,079
1.222
26,857
16
168
293
745
4,529
21,090
1,238
Rural
484.676
Area actually reporting
100.0%
12,467
885
11,582
18
197
78
592
3,781
6,986
815
State Total
2,977,000
173,289
15,189
158,100
139
1,580
4,507
8,963
32,945
109,274
15,881
Rate per 100.000
inhabitants
5,820.9
510.2
5,310.7
4.7
53.1
151.4
301.1
1,106.7
3,670.6
533.5
PENNSVXVANIA
Metropolitan Statistical
Area
10.199.167
97.1%
360.779
47.332
313.447
682
2.879
21.174
22.597
64.483
195,850
53,114
Estimated totals
100.0%
369.358
48.157
321.201
687
2.929
21,370
23,171
65,792
201,405
54,004
Cities outside metropolitan areas . .
761.568
Area actually reporting
87.0%
19.052
1.712
17.340
13
126
185
1.388
3,044
13,432
864
Estimated totals
100.0%
21,909
1.969
19.940
15
145
213
1.596
3,500
15,446
994
Rural
1,048.265
Area actually reporting
100.0%
16,164
1.150
15.014
44
250
118
738
6,542
7,299
1,173
Sute Total
12,009,000
407,431
51,276
356,155
746
3,324
21,701
25,505
75,834
224,150
56,171
Rate per 100.000
inhabitants
3.392.7
427.0
2.965.7
6.2
27.7
180.7
212.4
631.5
1,866.5
467.7
PUERTO RICO*
Metropolitan Statistical
Area
100.0%
115,327
30.020
85.307
804
360
23.418
5.438
30.109
37.285
17.913
Cities outside metropolitan areas
Area actually reporting
100.0%
13,547
2.266
11.281
60
73
824
1.309
5.306
5,030
945
Total
128.874
32.286
96,588
864
433
24.242
6.747
35,415
42,315
18,858
See rootnoles al end of table.
75
Table 5.— Index of Crime, State, 1992— Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
Crime-
Property
cnme^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
RHODE ISLAND
Metropolitan Statistical
Area
Area actually reporting ...
Cities outside metropolitan areas
Area actually reporting ...
Rural
Area actually reporting . . .
Stele 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 ...
Estimated totals
Stete Total
Rate per 100,000
inhabitants
SOUTH DAKOTA
Metropolitan Statistical
Area
Area actually reporting . . .
Cities outside metropolitan areas
Area actually reporting . . .
Estimated totals
Rural
Area actually reporting ...
Estimated totals
Sute 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
Slate Totel
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 . . .
Stole Totel
Rate per 100,000
inhabitants
See footnotes at end of table.
922,685
100.0%
42,147
82,315
100.0%
3,836
100.0%
26
1,005.000
46,009
4,578.0
2,504,995
99.8%
156,674
100.0%
157,022
311,957
97.9%
23,748
100.0%
24,258
786,048
67.9%
21,069
100.0%
31,047
3,603,000
212,327
5,893.1
226,940
100.0%
10,022
190,433
95.5%
7,469
100.0%
7,824
293,627
80.5%
2,798
100.0%
3.476
711,000
21,322
2.998.9
3,312,984
83.7%
196.409
100.0%
211,710
590,449
78.9%
22,408
100.0%
28.405
1,120,567
52.1%
9,336
100.0%
17,906
5,024,000
258,021
5.135.8
14,719,612
99.9%
1,141,880
100.0%
1,142,157
1,320,218
99.6%
71,099
100.0%
71,314
1,616,170
100.0%
32,677
17,656,000
1.246,148
7,057.9
3,574
385
6
3,965
394.5
23,894
23.941
4,789
4.893
3,525
5,195
34,029
944.5
889
242
254
193
240
1,383
194.5
30,720
32.349
2,496
3.164
1,029
1.974
37,487
746.2
129,840
129,867
8,812
8,837
3,665
142,369
806.3
38,573
3,451
20
42,044
4,183.5
132,780
133,081
18,959
19,365
17,544
25,852
178,298
4,948.6
9,1331
7,227
7,570
2,605
3,236
19,939
2,804.4
165,689
179,.36l
19,912
25,241
8,307
15,932
220,534
4,389.6
1,012,040
1,012,290
62.287
62,477
29,012
1,103,779
6,251.6
36
3.6
245
245
41
42
58
86
373
10.4
398
423
27
34
33
63
520
10.4
2,020
2,020
95
95
124
2,239
12.7
293
18
311
.30.9
1,534
1,536
165
169
249
367
2,072
57.5
220
59
62
69
86
368
51.8
1,946
2,120
101
128
67
129
2,377
47.3
8.616
8.618
479
480
339
9,437
53.4
909
41
950
94.5
4,795
4,805
733
749
403
594
6,148
170.6
84
19
20
13
16
120
16.9
10,299
10,467
305
387
57
110
10,964
218.2
43,505
43,510
857
859
219
44.588
252.5
2,337
325
6
2,668
265.5
17,320
17,355
3,850
3,933
2,815
4,148
25,436
706.0
585
164
172
108
134
891
125.3
18,077
19,339
2,063
2,615
872
1,672
23.626
470.3
75,699
75,719
7.381
7,403
2,983
86,105
487.7
9,688
837
4
10,529
1.047.7
35,441
35,507
4,775
4,877
6,301
9,285
49,669
1,378.5
1,496
1,261
1,321
831
1,032
3,849
541.4
45,805
50,655
4.649
5,893
3.711
7,117
63,665
1,267.2
240,514
240,573
15,901
15,947
12,408
268.928
1,523.2
21,624
2,413
15
24,052
2,393.2
87,429
87,645
13,291
13,576
10,156
14,965
116,186
3,224.7
7,313
5,725
5.997
1.659
2.061
15,371
2,161.9
94,927
102,795
14,041
17,799
3,827
7,340
127,934
2,546.5
630,733
630,902
43,679
43,814
15.064
689.780
3.906.8
7,261
201
1
7,463
742.6
9,910
9,929
893
912
1,087
1,602
12.443
345.4
324
241
252
115
143
719
101.1
24,957
25,911
1,222
1.549
769
1,475
28,935
575.9
140,793
140.815
2,707
2,716
1,540
145,071
821.7
76
Table 5.— Index of Crime. State, 1992— Continued
UTAH
Melropolilan Statistical
Area
Area actually reporting —
Cities outside metropolitan areas
Area actually reporting —
Estimated totals
Rural
Area actually reporting —
Estimated totals
State TottI
Rate per 100,000
inhabitants
VERMONT
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Cities outside metropolitan areas
Area actually reporting —
Estimated totals
Rural
Area actually reporting —
Estimated totals
Slate TottI
Rate per 100.000
inhabitants
VIRGINIA
Metropolitan Statistical
Area
Area actually reporting ...
Cities outside metropolitan areas
Area actually reporting
Rural
Area actually reporting . . .
Snte ToUl
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 ...
Sute ToUl
Rate 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 . . .
Sute ToUl
Rate per 100.000
inhabitants
Sec footnotes at end of table.
Population
1,405,774
100.0%
87,069
204.306
95.6%
10,601
100.0%
11,092
202,920
97.9%
4,337
100.0%
4,428
1.813.000
102.589
114,157
55.0%
3.961
100.0%
7,198
198,438
84.4%
5,759
100.0%
6,826
257.405
96.4%
5.218
100.0%
5.413
570.000
19.437
4,919,458
100.0%
412.205
100.0%
1.045,337
100.0%
6.377.000
755,237
100.0%
277,769
99.4%
100.0%
778.994
100.0%
1.812.000
Cnmc
Index
lolal
5.658.5
3,410.0
240.181
17.311
16.626
274.118
4,298.5
4,170.036
99.6%
263.683
100.0%
265,000
491,452
96.3%
36,221
100.0%
37,617
474,512
100.0%
14.418
5.136,000
317.035
6,172.8
26,951
8.971
9.028
11.309
47.288
2,609.7
Modified
Crime
Index
lolal'
Violent
crime-'
4,623
311
325
313
319
5.267
290.5
94
171
192
228
217
225
624
109.5
20,926
1,334
1,647
23.907
374.9
23,825
23,903
2,353
2,444
1,107
27,454
534.5
2,294
494
497
1,042
3.833
211.5
Propeay
crime'
Murder
and non-
negligent
man-
slaughter
82,446
10,290
10,767
4,024
4,109
97.322
5,368.0
3,867
7,027
5,567
6,598
5,001
5,188
18,813
3,300.5
219,255
15,977
14,979
250,211
3.923.6
239,858
241,097
33,868
35,173
13,311
289.581
5,638.3
24.657
8,477
8,531
10,267
43.455
2,398.2
43
10
10
54
3.0
6
6
12
2.1
474
18
72
564
8.8
214
214
24
258
5.0
56
41
115
6.3
Forcible
rape
705
51
53
64
65
823
45.4
28
51
38
45
44
46
142
24.9
1.708
101
199
2,008
31.5
2,888
2,902
493
512
283
3,697
72.0
237
104
393
21.7
Robtiery
959
37
39
16
16
1,014
55.9
13
24
15
18
9
9
51
8.9
8,448
187
152
8,787
137.8
6,662
6,682
414
430
66
7,178
139.8
607
83
788
43.5
Aggra-
vated
assault
2,916
222
232
223
228
3,376
186.2
50
91
138
164
158
164
419
73.5
10,296
1,028
1,224
12348
196.8
14,061
14,105
1,427
1,482
734
16,321
317.8
1,394
327
329
814
2,537
140.0
Burglary
13,463
1,461
1,529
1,031
1.053
16,045
885.0
702
1,276
1,076
1,275
2,077
2,155
4,706
825.6
37,967
2,604
4,646
45,217
709.1
47,102
47,301
5,627
5,844
4,467
57,612
1,121.7
6,006
1,533
1,543
3,738
11,287
622.9
Larceny-
theft
65,299
8,431
8,822
2,784
2,843
76,964
4,245,1
3.034
5.513
4,326
5,127
2,764
2,867
13.507
2,369.6
163.239
12,789
9,478
185,506
2,909.0
171,442
172,392
26,243
27,254
8,109
207,755
4,045.1
17,030
6,631
6,673
5,497
29,200
1,611.5
Motor
vehicle
theft
3,684
398
416
209
213
4,313
237.9
131
238
165
196
160
166
600
105.3
18,049
584
855
19,488
305.6
21,314
21,404
1,998
2,075
735
24,214
471.5
1,621
313
315
1,032
2,968
163.8
77
Table 5.— Index of Crime, State, 1992— Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime-
Property
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Ihefl
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 ...
State 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
3,410,573
99.8%
169,614
100.0%
169.869
599,604
99.4%
29,075
100.0%
29,239
996,823
100.0%
17,146
5,007,000
216,254
4.319.0
138,105
100.0%
7,743
203,811
99.9%
10,886
100.0%
10,899
124,084
100.0%
2.678
466,000
21,320
4,575.1
11,817
11,825
1,000
1,006
975
13,806
275.7
531
679
680
278
1,489
319.5
157,797
158,044
28,075
28,233
16,171
202,448
4,043.3
7,212
10,207
10,219
2.400
19,831
4,255.6
191
191
19
218
4.4
3.6
1,076
1,076
129
130
109
1,315
26.3
63
25
163
35.0
5,845
5,848
120
121
28
5,997
119.8
32
18.0
4.705
4,710
743
747
819
6,276
125.3
430
557
558
237
1,225
262.9
25,697
25,730
3,166
3,184
5,731
X645
691.9
1,136
1.334
1,336
655
3,127
671.0
112,235
112,438
24,012
24,147
9,613
146,198
2,919.9
5,817
8,534
8,544
1,642
16,003
3,434.1
19,865
19,876
897
902
827
21,605
431.5
259
339
339
103
701
150.4
'Although arson data were included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
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 offenses reported by the Zoological Police.
'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 U(
guidelines. The 1992 forcible rape totals for Illinois were estimated usmg the national rate of forcible rapes when grouped by like agencies. Therefore, only the state total is shown. See "Offci
Estimation." page 376 for details.
*The 1992 Bureau of 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, 1992
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total'
Violent
cnme*
Properly
cnme'
Murder
and non-
negligcnl
man-
slaughter
Forcible
rape
Robbery
valed
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Abilene. Ti. MSA
(Includes Taylor County.)
City of Abilene:
Total area actually reporting
Rate per 100.000 inhabitants
Akron, Oh. MSA
(Includes Portage and Summit
Counties.)
City of Alcron:
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Albany. Gn. MSA
(Includes Dougherty and Lee Counties.)
City of Albany;
Total area actually reporting
Btimated total
Rate per 100,000 inhabitants
Albuquerque, N.M. M.S.A
(Includes Bernalillo. Sandoval, and
Valencia Counties).
City of Albuquerque
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
AlexindrU, Lj. MSA
(Includes Rapides Pansh.)
City of .Aleiandna
Total area actually reporting
Estimated total
Rate per 100,000 inhabitanu
Altoona, Pi. MSA
(Includes Blair County.)
City of Altoona
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Amarillo. Tx. MSA
(Includes Potter and Randall Counties.)
City of Amarillo
Total area actually reporting
Rale per 100,000 inhabitants
Ancborige. Ak. M.SA
(Includes Anchorage Borough.)
City of Anchorage
Total area actually reporting
Rate per 100.000 inhabitants
Au Arbor, Mi. MSA.
(Includes Lenawee, Livingston and
Washtenav^ Counties.)
City of Ann Arbor
Total area actually reporting
Estimated total
Rate per 100,000 inhabiunts
Anniston, Al. M.S.A
(Includes Calhoun County.)
City of Anniston
Total area actually repotting
Estimated total
Rate per 100.000 inhabitants
124,367
II0.8S6
100.0%
662,347
614,8SS
494J33
5.410
5,709
4,590.4
226,490
17,237
79.6%
28,632
100.0%
32,620
4,924.9
117,295
81,411
9,788
99.3%
10,671
100.0%
10.743
9,159.0
401,529
38,014
81,0%
42.514
100.0%
46,460
7,556.3
133,640
49,968
6,345
99.4%
9.093
100.0%
9,148
6,845.3
131,927
52,436
1,372
98.9%
2,778
100.0%
2,819
2,136.8
194,935
163,826
13,745
100.0%
14,673
7,527.1
241,565
241,565
17,045
100.0%
17,045
7,056.1
111,263
6,301
98.9%
22,994
100.0%
23,288
4,711.0
118,767
27,250
4,153
95.4%
6,463
100.0%
6,808
5,732.2
859
879
706.8
2,645
3,444
3,726
562.5
1,160
1,217
1,222
1,041.8
6,168
6,780
7,356
1.196.4
1,740
2,156
2,163
1.618.5
135
200
204
154.6
1,134
1,216
623.8
1,971
1,971
815.9
596
2.181
2,209
446.9
822
1,230
1,275
1,073.5
4,551
4,830
3,8837
14,592
25,188
28.894
4,362.4
8,628
9,454
9.521
i.117.1
31,846
35,734
39,104
6,359.9
4.605
6,937
6,985
5,226.7
1,237
2,578
2.615
1.982.2
12,611
13,457
6,903.3
15,074
15,074
6,2401
5,705
20,813
21,079
4,264.1
3,331
5,233
5,533
4,658.7
4
6
4.8
24
27
30
4.5
20
21
21
17,9
12
13
13
9.7
17
17
8.7
17
17
7,0
I
II
11
2.2
89
89
71.6
204
280
321
48.5
93
93
79.3
294
322
364
59.2
53
68
68
50.9
25
45
45
34.1
103
109
55.9
253
253
104.7
50
323
326
65.9
35
61
63
53.0
136
136
109.4
966
1.171
1,252
189.0
489
503
505
430.5
1.460
1.485
1.528
248.5
106
126
127
95.0
35
41
42
31.8
278
282
144.7
484
484
200.4
161
438
444
89.8
159
195
204
171.8
630
648
521.0
1,451
1,966
2,123
320.5
563
600
603
514.1
4,372
4,925
5,410
879.9
1,569
1,949
1,955
1,462.9
75
114
117
88.7
736
414.5
1,217
1,217
5038
384
1,409
1,428
288.9
617
961
994
836.9
1.439
1,519
1,221.4
3,353
5,056
5,870
886.2
3,249
3,581
3,595
3,064.9
8,705
9,732
11,050
1,797.2
1,004
1,816
1.825
1.365.6
404
714
720
545.8
2,722
2,986
1.531.8
2.650
2.650
1,097.0
1,164
4,178
4,222
854.1
1. 141
1,664
1,735
1,460.8
2,946
3,131
2,517.5
9,069
17,378
19.984
3,017.1
4,964
5,427
5,474
4,666.9
20,236
22,899
24,727
4,021.6
3,342
4,785
4,819
3,606.0
754
1,712
1,739
1,318.2
9,297
9,832
5,043.7
10,813
10,813
4.476.2
4,256
15,474
15,669
3,169.7
2,018
3.318
3.526
2,968.8
166
18
144.7
2,170
2,754
3,040
459.0
415
446
452
385.4
2,905
3,103
3,327
541.1
259
336
341
255.2
79
152
156
118.2
592
639
327.8
1,611
1,611
666.9
285
1,161
1,188
240.3
172
251
272
229.0
See footnotes al end of table.
79
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolilan Statistical Area
Population
Cnrae
Index
total
Modified
Crime
Index
total'
Violent
crime-
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Appleton-Oshkosh-Neenah, Wi. M.S.A.
(Includes Calumet. Outagamie and
Winnebago Counties.)
City of:
Appleton
Oshkosh
Neenah
Total area actually reporting
Rate per 100.000 inhabitants
Asheville. N.C. M.S.A
(Includes Buncombe and Madison
Counties.)
City of Asheville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Athens, Ga. M.S.A
(Includes Clarke. Madison and
Oconee Counties.)
City of Athens
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Atlanta, Ga. M.S.A
(Includes Barrow, Bartow, Carroll,
Cherokee. Clayton, Cobb, Coweta,
De Kalb. Douglas, Fayette. Forsythe,
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 i 00.000 inhabitants
Augusta-Aiken, Ga.-S.C. M.S.A
(Includes Columbia and Richmond
Counties. Ga.. and Aiken and
Fairfield Counties, SO
City of:
Augusta, Ga
Aiken, S.C
Total area actually reporting
Estimated total
Rale 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. M.S.A
(Includes Kem 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
320,573
6,720
56.301
23,765
100.0%
198,220
63,598
91.3%
100.0%
153,543
90,368
86.9%
100.0%
3,101,010
410,876
99.3%
100.0%
321,815
38,274
100.0%
410,465
46,518
20,534
99.9%
100.0%
879,556
2,445,286
755,517
100.0%
2.617
3,626
877
12,084
3.769,5
5,923
8,474
9,140
4,611.0
8.217
10.119
11,187
7,285.9
71,275
244,151
245.970
7,931.9
12,952
29.460
9,154.3
5.074
1.428
24,042
24.079
5,866.3
483,975
52,964
29.875
1.690
100.0%
71,518
8,131.1
563,678
181,321
14.511
98.5%
36.993
100.0%
37.517
6.655.8
36
78
32
329
102.6
564
737
795
401.1
715
910
991
645.4
90.114
180.519
7.382.3
15,856
29,007
29,157
940.2
1,265
2,695
837.4
485
154
2,778
2,783
678.0
2,850
184
4.602
523.2
1.682
5,776
5,847
1.037,3
21,799
33,241
1,359.4
2,581
3,548
845
11,755
3.666.9
5,359
7,737
8,345
4,210.0
7.502
9.209
10.196
6.640.5
55,419
215,144
216.813
6,991.7
11.687
26.765
8,316.9
4,589
1,274
21,264
21,296
5.188.3
50,114
1,506
66,916
7,607.9
12,829
31,217
31,670
5,618.5
68,315
147.278
6.022.9
9
4.5
II
13
14
9.1
198
392
394
12.7
19
5.9
II
2
61
61
14.9
37
2
52
5.9
16
49
50
8.9
335
408
16.7
43
13.4
32
48
52
26.2
40
49
57
37.1
627
1,837
1.848
59.6
52
184
57.2
21
16
192
192
46.8
294
28
500
56.8
51
212
215
38,1
749
1.319
53,9
12
14
3
40
12.5
198
220
233
117.5
258
273
308
200.6
5.824
11,427
11,478
3701
575
922
286.5
233
37
862
863
210.2
1.450
39
1,631
185.4
510
1. 117
1.142
202.6
12.263
15,579
637.1
16
51
29
244
76.1
330
461
501
252.7
406
575
612
398.6
9.207
15.351
15,437
497.8
630
1.570
487.9
220
99
1.663
1.667
406.1
1.069
115
2,419
275.0
1.105
4,398
4.440
787,7
8.452
15.935
651.7
349
384
101
1.591
496.3
1,396
2,299
2,521
1,271.8
2.102
2.610
2.866
1.866.6
13.065
50,257
50.599
1,631.7
1,497
5,259
1.634.2
1,440
286
6.324
6,331
1.542.4
10.208
297
14.767
1,678.9
3.499
9,359
9,468
1,679.7
16.298
33.207
1,358.0
2,178
3,079
715
9,855
3.074.2
3.605
4,907
5,258
2.652,6
4,762
5,882
6,495
4,230.1
33,903
138,022
139,202
4.488.9
9,635
20,151
6.261.7
2.432
915
12,406
12,429
3,028.0
35,336
1,056
46,580
5,295.9
8,066
18,920
19.190
3.404.4
40,717
93,515
3.824.3
54
85
29
309
96.4
358
531
566
285.5
638
717
835
543.8
8,451
26,865
27.012
871.1
555
1,355
421.0
717
73
2.534
2,536
617.8
4.570
153
5.569
633.2
1.264
2,938
3,012
534.3
11.300
20.556
840.6
Sec footnotes at end of table.
80
Table 6. — Index of Crime. Metropolitan Statistical Areas, 1992 — Continued
Mclropolilan SlalislicaJ Area
Population
Cnmc
Index
toial
Modified
Cnme
Index
lolal'
Violent
cnme-
Property
Clime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Bangor. Me. M5.A
(Includes part of Penobscot and Waldo
Counties.)
City of Bangor
Total area actually reporting
Rate per 100,000 inhabitants
Binstible-YtniKMilh. Mi. M.S.A
(Includes pan of Barnstable County.)
City of:
Bamsiabie
Yarmouth
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Baloii Roogf. La. MSA
(Includes East Baton Rouge,
Livingston and West Baton Rouge
Panshes.)
City of Baton Rouge
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Baamonl-Port Arthur. Tx. M5.A
(Includes Hardin. Jefferson and Orange
Counties.)
Ciiy of
Beaumont
Port Arthur
Total area actually leportiog
Rale per 100,000 inhabitants
BeUiKgham. W«. M5A
(Includes Whatcom County.)
City of Bellingham
Total area actually reporting
Rate per 100,000 inhabitants
Beaton Harbor. Mi. MSA.
(Includes Bemen County.)
Cily of Benton Harbor
Total area actually reporting
Rate per 100.000 inhabitants
Billings. Ml. MSA
(Includes Yellowstone County.)
City of Billings
Total area actually reporting
Rate per 100.000 inhabitants
BinghiiDton. N,Y. M,SA.
(Includes Broome and Tioga Counties.)
City of Binghamton
Total area actually reporting
Rate per 100,000 inhabiunts
Binnittghun. Al. M,5A.
(Includes Blount. Jefferson, St, Oair
and Shelby Counties,)
City of Birmingham
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Bismarck. N.D. MSA.
(Includes Burleigh and Morton
Counties.)
City of Bismarck
Total area actually reporting
Rate per 100.000 inhabitants
Bkwmingtoii, In. M.SA.
(Includes Monroe County.)
City of Bloomington
Total area actually reporting
Rate per 100.000 inhabiunts
Boise, Id. M5.A
(Includes Ada and Canyon Counties.)
City of Boise
Total area aaually reporting
Rate per 100.000 inhabitants
66,952
31.342
100.0%
1X532
40.823
21,108
94.2%
100.0%
477,506
237,390
94.1%
100.0%
375,447
860,254
272,407
89.8%
100.0%
83,458
1.758
2.391
3.571.2
2,392
1,023
5,897
6,180
4,593.7
33.853
46,987
49,061
10,274.4
118,828
13,693
70,590
6.436
100.0%
28,776
7,664,5
134,845
55,066
4,429
100,0%
7,599
5.635.4
163,823
13,013
2.672
100,0%
11.064
6,753,6
117,107
83.731
6,747
100.0%
7,940
6,780.1
267,248
53,385
2,560
100,0%
8,162
3.054.1
32,553
50,521
56,113
6,522,8
49.038
2,278
100.0%
3,422
4.100,3
111,293
61.921
2,761
100.0%
4,061
3.648.9
313,650
133,317
7,416
100.0%
15,103
4.815.2
73
91
135.9
697
89
965
1,001
744.1
6.166
7,347
7.623
1,596.4
2,001
1.364
4.094
1,090.4
189
368
272.9
896
1,734
1,058.5
193
217
185.3
127
554
207.3
6,144
8,382
9,111
1,0591
37
161
192.9
490
521
468.1
520
1.040
331.6
1.685
2,300
3,435,3
1.695
934
4,932
5,179
3,849,6
27,687
39,640
41,438
8,678.0
11.692
5,072
24,682
6.574,0
4,240
7,231
5,362.5
1,776
9,330
5,695.2
6,554
7,723
6,594.8
2,433
7,608
2,846.8
26,409
42,139
47.002
5,463.7
2,241
3,261
3,907.4
2,271
3,540
3.180.8
6,896
14,063
4,483.7
3.0
58
78
80
16.8
23
13
51
13.6
1
4
3.0
6
13
7.9
133
164
173
20.1
2
7
8.4
3
5
4.5
5
10
3.2
13
16
23.9
26
6
39
41
30.5
169
243
256
53.6
84
58
228
60.7
48
103
76.4
27
167
101.9
25
29
24.8
15
57
21.3
362
492
525
61.0
3
21
252
24
33
297
84
144
45.9
25
31
46.3
23
6
38
43
32.0
1,656
1,907
1,962
410.9
718
347
1,234
328.7
31
39
28.9
137
232
141.6
95
96
82.0
39
64
23.9
1,854
2,312
2,459
285.8
9
10
12.0
22
25
22.5
62
126
40.2
33
42
62.7
648
77
886
915
680.1
4,283
5,119
5,325
1,115.2
1,176
946
2,581
687.4
109
222
164.6
726
1,322
807,0
71
90
76.9
71
428
160.2
3,795
5,414
5,954
692.1
23
123
147.4
441
458
411.5
369
760
242.3
254
404
603.4
628
315
1,690
1,750
1,300.8
6.784
9,612
9.961
2,086.0
3,344
1,774
7,184
1,913.5
553
1,190
882.5
620
2,369
1,446.1
1,175
1,350
.152.8
294
1,412
528.3
7,447
11,286
12,432
1,445.2
320
452
541.6
366
578
5193
1,102
2,754
878.0
1.352
1,800
2.688.5
930
560
2.963
3,111
2,312.5
16,794
25,032
26,304
5,508.6
6,629
2.593
14,512
3,865.3
3,472
5.680
4,212.2
998
6,435
3,928.0
5,017
5,945
5,076.6
2.109
5,975
2,235.8
15,231
25,596
28,974
3,368.1
1,825
2,661
3,188.4
1,707
2,706
2,431.4
5,501
10,698
3.410.8
79
96
143,4
137
59
279
318
236,4
4,109
4,996
5,173
1,083.3
1,719
705
2,986
795.3
215
361
267.7
158
526
321,1
362
428
365.5
30
221
82.7
3,731
5.257
5,596
650.5
96
148
177.3
198
256
230.0
293
61!
194.8
See foolnoles at end of table
81
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modifled
Crime
Index
total'
Violent
crime^
Property
crime"
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Boston, Ma.-N.H.-ME.-Cl. M.S.A
(Includes all of Essex and Suffolk
Counties, Ma.; Strafford County, N.H,
Windham County, Ct.; and York
County Me.; pari of Bristol,
Hampden, Middlesex, Norfolk,
Plymouth, and Worcester Counties,
Ma.; Hillsborough, Merrimack, and
Rockingham Counties, N.H.)
City of Boston
Total area actually reporting
Estimated total
Rate per 100.000 inhabiUnts
Boulder-Longmont, Co. M.S.A
(Includes Boulder County.)
City of:
Boulder
Longmont
Total area actually reporting
Rate per 100,000 inhabitams
Brazoria, Tx. M.S.A
(Includes Brazona 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-Harltngen-San Benito, Tx.
M.S.A
(Includes Cameron County.)
City of
Brownsville
Hariingen
San Benilo
Total area actually reporting
Rate per 100,000 inhabitants
Bryan-College Station, Tx. MSA
(Includes Brazos County.)
City of
Bryan
College Station
Total area actually reporting
Rate per 100,000 inhabitants
Canton-Massillon, Oh. M.S.A
(Includes Cartoll and Stark Counties.)
City of
Canton
Massillon
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Casper, Wy. M.S.A
(Includes Natrona County.)
City of Casper
Total area actually reporting
Rate per 100.000 inhabitants
5,159,585
572,822
85.4%
100.0%
237,321
452,801
141.480
100.0%
244,950
92,503
80.3%
100.0%
270,362
99,990
50,656
20,917
100.0%
126,663
57,169
54,523
100,0%
400,223
56.399
217,001
243,892
4.727.0
87.751
6.551
54.302
2.624
100.0%
13,270
5.591.6
199,250
100.0%
7,665
3,846.9
200,225
40.251
2,641
100.0%
9,040
4.514,9
16,210
27,829
6,146.0
8.293
11.903
13.639
5.568.1
10.516
4,684
982
19,591
7.246.2
4,568
2.140
7.751
6.119.4
85,470
6,872
31,489
1,465
92.8%
17,542
100.0%
18,372
4.590.4
62,932
48,020
3,416
100.0%
4,087
6,494.3
11,672
32,137
35,418
686.5
167
143
583
245.7
572
287.1
314
654
326.6
2,890
3,318
732,8
1,139
1,564
1,784
728.3
874
429
91
1,797
664.7
558
109
698
551.1
981
138
1,957
2.016
503.7
284
332
527.6
44.727
184.864
208.474
4,040.5
6,384
2,481
12.687
5,345,9
7,093
3,559.8
2,327
8,386
4,188.3
13,320
24,511
5,413.2
7.154
10,339
11.855
4.839.8
9.642
4,255
891
17.794
6.581.5
4.010
2.031
7,053
5.568,3
5.891
1.327
15.585
16,356
4.086.7
3.132
3,755
5,966.8
73
168
180
3.5
10
5.0
5
7
3.5
57
63
13.9
5
6
7
2.9
15
4
1
31
11.5
3
2.4
2
3
4.8
537
1,579
1,734
33.6
II
24
95
40.0
62
31.1
65
128
63.9
74
102
22.5
49
69
79
32.3
29
12
13
62
22.9
58
17
81
63.9
80
21
171
ISO
45.0
13
19
30.2
4,765
9.006
9.456
183.3
28
28
68
28.7
93
46.7
84
140
69.9
1.835
2.031
448.5
390
425
455
185.8
198
55
18
305
112.8
105
21
128
101. 1
530
57
805
822
205.4
19
20
31.8
6.297
21.384
24.048
466.1
128
91
420
177.0
407
204.3
160
379
189.3
924
1,122
247.8
695
1.064
1,243
507.5
632
358
59
1,399
517.5
392
71
486
383.7
358
58
960
993
248.1
250
290
460.8
8,718
45,012
50.703
982.7
843
414
2,070
872.2
1,676
841.2
459
1,832
915.0
4,081
6,386
1,410.3
2,555
3.370
3,739
1.526,4
2.412
91!
178
4,833
1,787.6
942
380
1,550
1,223.7
1,738
324
4,194
4.368
1,091,4
596
761
1,209.2
24,598
105,487
119,786
2,321.6
5,214
1,932
9,988
4,208.6
4,669
2,343.3
1.645
5.984
2.988.6
4.500
11.640
2.570.7
2,140
3,967
4,876
1.990,6
6.334
2.977
658
11.468
4,241.7
2.829
1.530
5.113
4.036,7
3,679
887
10,094
10.632
2.656.5
2.398
2.826
4.490.6
11.411
34,365
37,985
736.2
327
135
629
265.0
748
375.4
223
570
284.7
4.739
6.485
1.432.2
2.459
3.002
3.240
1,322,7
896
367
55
1,493
552.2
239
121
390
307.9
474
116
1,297
1,356
338,t
138
168
267.0
Sec footnotes at end of table.
82
Table 6. — Index of Crime. Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Atra
Chanipaifiii-l rtuna. II. M^..\.*
(Includes Champaign County.)
City of:
Champaign'
I'rbana'
Total area actually repotting
Estimated total
Rate per lOO.tXKI inhabitants
Charksloi-Nonh Chtrltstoa. S.C.
.M3-\
(Includes Berkeley, Charleston and
Dorchester Counties.)
City of:
Charleston
North Charleston
Total area actually reporting
Rate per l(XI,(XX) inhabitants
Estimated total
Rate per l(X).000 inhabitants
Charleston. W.V. MSA
(Includes Kanawha and Putnam
Counties.)
City of Charleston
Total area actually reporting
Rate per 100.000 inhabitants
Chirlone-Gistonia-Rock Hill. N.C.-S.C.
M5.A
(Includes Cabarrus. Gaston. Lincoln.
Mecklenburg. Rowan and Union
Counties. N.C. and York County.
S.C.)
City of:
Charlotte, N.C
Gastonia, N.C
Rock Hill. S.C
Total area actually repotting
Estimated total
Rate per 100.000 inhabitants
Ourionesrille, Va. WSA
(Includes Albemarle. Fluvanna and
Greene Counties and Charlotlesvilje
City.)
City of Charlottesville
Total area actually reporting
Rate per 100.000 inhabitants
Chattanooga. Tn.-Oa. MSA
(Includes Hamilton County, Tn., and
Catoosa, Dade and Walker Counties,
Ga.)
City of Chattanooga, Tn
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Cheyenne, Wy. MSA
(Includes Laramie County.)
City of (Theyenne
Total area actually reporting
Rate per 100.000 inhabitants
Chicago, a MSA.'
(Includes Cook. Dekalb, DuPage.
Grundy. Kane. Kendall.
Lake. McHenry and Will Counties.)
City of Chicago'
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Chico-Paradise. Ca. MSA
(Includes Butte County.)
City of:
Chico
Paradise
Total area actually reporting
Rate per 100.000 inhabitants
Population
176,047
64.614
36.980
98.7%
100.0%
523,763
83,095
6.693
72.559
8.521
100.0%
32,856
6.273.1
100.0%
32.862
6,274.2
252.438
57,998
7.119
100.0%
11.229
4.448.2
1,199.979
135,122
41,577
100.0%
412,862
7,54l,4«8
!.832,90l
96.5%
100.0%
188,887
41.568
26.352
100.0%
Crime
Index
total
408.951
51.489
56,500
6,368
43,031
4,135
99.9%
92,745
100.0%
92,800
7,733.5
2,441
5,288
3,913.5
157.053
15.452
99.4%
23,017
100.0%
23.164
5,610.6
75,173
51.409
2,970
100.0%
3,656
4,863.4
3,388
796
9.998
5.293.1
Modified
Cnme
Index
total'
Violent
cnme-
918
1,291
4,739
904.8
4,740
905,0
1,055
417,9
9.456
1.015
934
14,598
14.604
1,217.0
286
412
304.9
2,922
3,574
3,591
869.8
119
199
264.7
246
58
943
499.2
Property
crime'
4,425
6
1,697
2
8,904
10
9,005
10
115.1
5.7
5,775
7,230
28,117
5,368.3
28,122
5,369.2
6,305
10.174
4,030,3
42,033
5,353
3,201
78.147
78,196
6,516.4
2.155
4.876
3,608.6
12,530
19,443
19,573
4,740.8
2,851
3,457
4,598.7
213.731
393,139
403,996
5,357.0
3,142
738
9,055
4,793.9
Murder
and non-
negligent
man-
slaughter
6
21
8.3
99
13
2
161
161
13.4
6
9
6.7
2
3
4.0
939
1.088
I.IOI
14,6
14
7.4
Forcible
rape
49
74
317
60.5
317
60.5
39
71
28.1
361
22
35
588
588
49.0
23
41
30.3
146
188
189
45.8
20
44
58.5
Robbery
166
68
255
258
146.6
274
397
1,038
198.2
1,038
198,2
251
300
3,058
266
142
4.045
4.047
337.3
91
118
87.3
734
793
796
192.8
10
12
16.0
38.448
43.244
43.545
577.4
44
5
127
67.2
Aggra-
vated
assault
347
130
615
620
352.2
588
808
3.338
637.3
3,339
637.5
518
663
262.6
5,938
714
755
9,804
9,808
817.3
166
244
180.6
2,011
2,557
2,570
622,5
87
140
1862
41,080
48,755
49.298
653.7
161
51
706
373.8
Burglary
1,065
435
2.241
2.260
1,283.7
1,202
1.383
7,005
1.337.4
7,006
1.337.6
1.308
2.285
905.2
12.565
1,598
826
24,215
24,228
2,019.0
281
729
539.5
3,077
5,125
5,153
1.248.1
267
375
498.8
49,046
82,998
85,148
1,129.1
575
223
2,663
1,409.8
Larceny-
theft
3,159
1,212
6,311
6,383
3,625.7
3,966
5,056
18,684
3,567.3
18,688
3,568.0
4,529
7,042
2,789.6
27,014
3,516
2.202
49,757
49,791
4,149.3
1,778
3,925
2.904.8
7,617
11,876
11,970
2,899.3
2.526
2,991
3,978.8
119,697
247,532
255,228
3,384.3
2.348
478
5,729
3,033.0
Motor
vehicle
theft
201
50
352
362
205.6
607
791
2,428
463.6
2,428
463.6
468
847
335.5
2,454
239
173
4,175
4,177
348.1
96
222
164.3
1,836
2,442
2,450
593.4
58
91
121. 1
44,988
62,609
63,620
843.6
219
37
663
351.0
Arson'
See footnotes at end of table.
83
Table 6.— Index of Crime. Metropolitan Statistical Areas, 1992— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime-'
Property
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Cincinnati, Oh.-Ky.-In. M.S.A
(Includes Brown, Clermont, Hamilton
and Warren Counties, Oh.; Boone.
Campbell, Gallatin. Grant. Kenton
and Pendleton Counties. Ky,. and
Dearborn and Ohio Counties. In,)
City of Cincinnati
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Clarksville-Hopliinsville. Tn.-Ky. M.S.A.
(Includes Christian County. Ky.. and
Montgomery County. Tn,)
City of;
Clarksville. Tn
Hopkinsville. Ky
Total area actually reporting
Rale per 100,000 inhabitants
Cleveland-Lorain-Elyria, Oh. M.S.A
(Includes Ashtabula, Cuyahoga, Geauga,
Lake, Lorain and Medina Counties,)
City of;
Cleveland
Lorain
Elyria
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Colorado Springs, Co. M.S.A
(Includes El Paso County.)
City of Colorado Spnngs
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Columbia, Mo. M.S.A
(Includes Boone County.)
City of Columbia
Total area actually reporting
Rale per 100,000 inhabitanls
Columbia, S.C. M.S.A
(Includes Lexington and Richland
Counties.)
City of Columbia
Total area aaually reporting
Estimated total
Rale per 100,000 inhabitanls
Columbus, Ga.-AI. M.S.A
(Includes Chattahoochee. Hams and
Muscogee Counties. Ga,, and Russell
County. Al.)
City of Columbus
Total area actually repotting
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
Rate per 100.000 inhabitanls
Corpus Chrisli, Tx. M.S.A
(Includes Nueces and San Palncio
Counties.)
City of Corpus Christi
Total area actually reporting
Eslimalcd total
Rate per 100,000 inhabitants
1,551,617
369,707
92,5%
100,0%
173,761
77,765
30.372
100.0%
2,241,943
468,978
99,990
99.6%
100.0%
273,715
186,826
99.2%
100.0%
1,365,279
643.028
86.1%
100.0%
364,607
267.601
99.3%
100.0%
32,682
75,868
80.160
5.1662
5.028
1.465
8.167
4.700.1
513.487
42.536
72.353
2.319
57.628
2.919
871%
86.557
100.0%
97.078
4.330.1
418.167
296.124
20.194
99.9%
23,532
100.0%
23,573
5.637.2
114,043
70.125
4.893
100.0%
6.218
5.452.3
11.141
32,154
32.295
6.886.3
11.394
14.575
14.750
5.388.8
58.221
81.641
87.918
6.439.6
27.608
31.799
31.968
8,767.8
5,793
9.741
10.051
647.8
1.491
219
2.083
1.198.8
8,532
206
239
11.615
12,361
551.4
1.542
1.859
1.863
445.5
472
566
496.3
1.886
4.768
4,787
1.020.7
860
1.302
1,316
480.8
7,029
9.065
9,510
696.6
2.561
3.008
3.023
829.1
26.889
66.127
70.109
4.518.4
3,537
1.246
6.084
3,501.4
34.004
2,113
2.680
74,942
84,717
3,778.7
18.652
21.673
21.710
5,191.7
4.421
5.652
4.956.0
9.255
27.386
27.508
5.865.5
10.534
13.273
13.434
4.908.0
51.192
72.576
78,408
5.743,0
25.047
28.791
28.945
7.938.7
49
68
70
4.5
7
2
11
6.3
157
197
203
9.1
17
21
21
5.0
3
4
3.5
15
60
60
12.8
15
28
28
10.2
113
126
130
9.5
30
32
32
8.8
486
880
914
58.9
46
11
67
38.6
854
57
39
1.217
1.300
58.0
226
253
253
60.5
31
51
44.7
105
376
377
80.4
89
32.5
684
914
970
71.0
144
164
165
45.3
2.294
3,104
3.185
205.3
72
38
128
73.7
4,423
68
125
5,664
5.882
262.4
448
472
473
113.1
137
145
127.1
596
1,317
1,321
281.7
312
377
382
139.6
3,585
4,162
4,291
314.3
509
550
553
151.7
2,964
5.689
5,882
379.1
1.366
168
1.877
1.080.2
3,098
73
73
4,537
4,976
222.0
851
1,113
1,116
266.9
301
366
320.9
1,170
3,015
3,029
645.9
477
809
817
298.5
2,647
3,863
4.119
301.7
1.878
2.262
2.273
623.4
7.076
14.927
15.667
1,009.7
995
342
1.792
1.031.3
9.000
818
707
17.438
19.232
8578
3.783
4,606
4.612
1.102.9
667
885
776.0
1.610
6.164
6.191
1,320.1
2.628
3.505
3.538
1.292.6
15.020
19.207
20.365
1.491.6
5.246
6.478
6.512
1.786.0
17.695
47.119
50,040
3,225.0
2,363
857
4.005
2.304.9
14.240
1.039
1.680
40.974
48.146
2.147.5
13,791
15,857
15,885
3.798.7
3,585
4,557
3.995.9
6.829
18,652
18,739
3.995.7
7,227
8.923
9,037
3.301.6
29,210
45,115
49,320
3,612.4
18,051
20.359
20.464
5,612.6
2,118
4,081
4,402
283.7
179
47
287
165.2
10,764
256
293
16,530
17,339
773.4
1.078
1,210
1,213
290.1
169
210
184.1
816
2,570
2,578
549.7
679
845
859
313.8
6,962
8,254
8,723
638.9
1.750
1.954
1,969
540.0
See footnotes at end of tabic.
84
lablc 6.— Index of Crime. Metropolilan Statistical Areas. 1992 — Continued
Mciropolilan Stalisiical Area
CmubwUHl. Md.-W.V. M5A
(Includn Alleganv Counly. Md.. and
Mineral Counly, W.V.)
Cily of Cumberland
Total area acluallj reporting
Raie per 100.000 inhabitants
DtUis. T\. MSA
(Includes Collin, Dallas, Denton, Ellis,
Henderson, Hunt, Kaufman and
Rockwall Counties,)
City of Dallas
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Dubiir). Ct. MSA
(Includes part of Fairfield, Litchfield,
and Ne» Haven Counties.)
City of Danbury
Total area actually reporting
Rate per 100,000 inhabitants
Dturille, Vt. MSA
(Includes Piitsyl\ania Counly and
Danville Cily,)
City of Danville
Total area actually reporting
Rate per 100,000 inhabitants
DtKipon-RKk Islud-Molige, I*.-II.*
MSA
(Includes Scott County, Ia„ and Henry
and Rock Island Counties, 11)
City of:
Davenport, la
Rock Island, II,'
Moline, II.'
Total area aaually repotting
Estimated total
Rate per 100,000 inhabitants
Diytoo-Spriagfield. Oh. M,SA.
(Includes Clark, Greene, Miami and
Montgomery Counties,)
City of:
Dayton
Springfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabiunts
Diytou Bach. R. MSA
(Includes Ragler and Volusia Counties,)
City of Daylona Beach
Total area actually reporting
Rate per 100,000 inhabitants
Dcatw, Al. M,SjV
(Includes Lawrence and Morgan
Counties,)
City of Decatur
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Deamr, II. M5jV.'
(Includes Macon County,)
City of Decatur*
Total area actually reporting
Estimated total
Rate per 100,000 inhabitanB
Deiter, Co. M5..4
(Includes Adams. Arapahoe. Denver,
Douglas and Jefferson Counties)
City of Denver
Total area actually reporting
Rate per 100,000 inhabitants
Set footnotes at end of table.
Population
103.894
24.333
100.0%
2.685,255
1,046,562
99.9%
100.0%
162.257
65,462
100,0%
112,038
34,681
100,0%
356,252
96,542
41,262
43,958
95,2%
100.0%
%6,619
133,829
49,911
97.3%
100.0%
119,253
85,354
95,3%
100,0%
1.701,831
492,672
100,0%
Crime
Index
total
1,599
3,205
3,084.9
130,082
226,887
226,951
8,451,7
3.605
5,705
3,516.0
2,376
3,283
2,930.3
i.801
18.550
19,381
5,440.3
184,877
20,502
71.584
6,867
96.7%
51,788
100.0%
53,091
5.492.4
416J79
64.552
7.547
100.0%
24.898
5,979.6
3,797
4,890
5,118
3,824.3
40,176
112,893
6,633.6
Modified
Crime
Index
total'
Violent
critne^
231
404
388,9
21,682
30,192
30,197
1,124,5
203
243
149,8
187
243
216,9
1,403
2,198
2,256
633.3
3,357
1,219
6,163
6,256
647,2
1,413
3,514
843,9
238
359
388
289.9
5,303
12,827
753.7
Property
crime'
1.368
2,801
2,696.0
108.400
196,695
196,754
7,327.2
3,402
5.462
3.366.3
2.189
3.040
2,713.4
7.398
2,243
2,648
16,352
17,125
4.807.0
17,145
5,648
45,625
46,835
4,845.2
6,134
21,384
5,135.7
3,559
4.531
4,730
3.534.4
5.070
5.804
6.049
5.072.4
34,873
100,066
5.879.9
Murder
and non-
negligent
man-
slaughter
387
470
470
17.5
16
14.3
57
7
82
83
8.6
13
36
8.6
3
6
6
4.5
95
140
8.2
Forcible
rape
17
16.4
1,096
1,721
1,721
64.1
12
17
10.5
7
20
17.9
67
72
73
20.5
298
68
620
629
65.1
108
262
62.9
14
24
25
18.7
437
883
51.9
Robbery
12
19
18.3
9.532
11.350
11.351
422.7
73
77
47,5
75
81
72,3
237
117
39
422
440
123,5
1,737
256
2.447
2.474
255.9
434
821
197.2
89
101
107
80.0
208
211
218
182.8
1.804
3,175
186.6
Aggra-
vated
assault
210
367
353.2
10.667
16.651
16,655
620.2
114
143
88.1
97
126
112.5
1.097
277
89
1,693
1,731
485.9
1.265
888
3,014
3,070
317.6
858
2,395
575.2
132
228
250
186.8
481
514
526
441.1
2.967
8.629
507.0
Burglary
290
580
558.3
24,806
45,260
45,273
1,686.0
697
1,267
780.9
402
617
550.7
1,833
488
514
3,772
3,918
1,099.8
4,552
727
9,454
9,656
998.9
1,764
6,444
1,547.6
752
1,125
1,172
875.7
1,417
1,668
1,714
1.437.3
8,897
21,511
1,264.0
Larceny-
theft
1,022
2,104
2,025.1
63,079
123,056
123,096
4,584.1
2,423
3,804
2,344,4
1,671
2,254
2,011.8
5,211
1.662
2,045
11.928
12,491
3,506,2
9,624
4,516
30,972
31,877
3,297.8
3,567
13,283
3,190.1
2,603
3,130
3,268
2,441.9
3,493
3,943
4,119
3,454,0
17,892
65,008
3,819,9
Motor
vehicle
theft
56
117
112,6
20,515
28,379
28,385
1,057.
282
391
241.0
116
169
150.
354
93
89
652
716
201.0
2,969
405
5,199
5.302
548.5
803
1,657
398.0
204
276
290
216.7
160
193
216
181.1
8,084
13,547
796.0
Ar^on'
85
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolilan Statistical Area
Population
Crime
Index
total
ModiHed
Cnme
Index
total'
Violent
crirae^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Urceny-
thef)
Motor
vehicle
theft
and
Des Moines, la. MSA
(Includes Dallas. Polk and Warren
Counties.)
City of Des Moines
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Detroit, Mi. MSA
(Includes Lapeer. Macomb, Monroe,
Oakland, St. Clair and Wayne
Counties.)
City of Detroit
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Dolhan, Al. MSA
(Includes Dale and Houston Counties.)
City of Dothan
Total area actually reporting
Estimated total
Rale per 100.000 inhabiunis
Dover, De. M.S.A
(Includes Kent County.)
City of Dover
Total area actually reporting
Estimated total
Rate per 100,000 mhabitants
Dubuque, la. M.S.A
(Includes Dubuque County.)
City of Dubuque
Total area actually reporting
Rate per 100.000 inhabitants
Duluth-Snperior, Mn.-Wi. MSA
(Includes St. Louis County, Mn.
Douglas County. Wi.)
City of:
Duluth, Mn
Supenor, Wi
Total area actually reporting ....
Rate per 100,000 inhabitants ....
Eio CUire, Wi. MSA
(Includes Chippewa and Eau Claire
Counties.)
City of Eau Claire
Total area actually reporting ....
Estimated total
Rale per 100,000 inhabitants ....
Elkhirt-Goshen, Id. MSA
(Includes Elkhan County.)
City of:
Elkhart
Goshen
Total area actually reporting
Rate per 100,000 inhabitants
Elmlr», N.Y. MSA
(Includes Chemung County.)
City of Elmira
Total area actually reporting
Rate per 100,000 inhabitants
El Puo,Tx. M.S.A
(Includes El Paso County.)
City of El Paso
Total area actually reporting
Rate per 100,000 inhabitants
EaliLOk. MSA
(Includes Garfield County.)
City of Enid
Total area actually reporting
Rate per 100,000 inhabitants
Erie, P«. MSA
(Includes Erie County.)
City of Erie
Total area actually reporting
Rate per 100,000 inhabitants
398,124
195.752
95.9%
100.0%
4,334,397
245,840
87.542
27.772
100.0%
140,774
58.193
97.8%
100.0%
159,SI«
16,502
23,946
24.801
6,229.5
1,044,128
117,246
99.2%
279,420
100.0%
281,176
6,487.1
134,044
54,853
4.562
75.0%
5.888
100.0%
6.932
5,171.4
1I8,48«
28,576
2,771
99.4%
6,551
100.0%
6,610
5,578.7
87,553
58,276
2,302
100.0%
2,751
3,142.1
5,181
1,899
10,046
4,086.4
3.047
5,031
5,168
3,671.1
44,554
3,670
24,302
1,196
100.0%
6,991
4,382.6
95,869
33,964
2,025
100.0%
4,055
4,229.7
614,927
535,655
48,445
100.0%
51,835
8,429.5
57,929
46,264
3,602
100.0%
3,713
6,409.6
278,512
109,882
5,442
100.0%
9.279
3,331.6
975
1,461
1,510
379.3
26.447
42.348
42,513
980.8
507
816
967
721.4
293
865
871
735.1
122
138
157.6
362
76
571
232.3
69.6
189
122
759
475.8
109
298
310.8
3,826
6,228
1,012.8
343
347
599.0
804
996
357.6
15.527
22,485
23.291
5,850.2
90,799
237,072
238,663
5,506.3
4,055
5,072
5,965
4,450.0
2,478
5,686
5,739
4,843.6
2,180
2,613
2,984.5
4,819
1,823
9,475
3,854.1
2,990
4,937
5,070
3,601.5
3,481
1,074
6,232
3,906.8
1,916
3,757
3,918.9
42,619
45,607
7,416.7
3,259
3,366
5.810.6
4,638
8,283
2,974.0
595
713
714
16.5
3
5
5
4.2
I
2
2.3
4
2.5
2
2
2.1
44
47
7.6
3
7
2.5
93
120
124
31.1
1.225
2,872
2.888
66.6
44
47
56
41.8
45
113
114
96.2
15
17
19.4
46
18
102
41.5
2
10
10
7.1
38
II
72
45.1
23
38
39.6
272
315
51.2
32
32
55.2
95
116
41.6
261
303
309
77.6
12,194
15,832
15,869
366.1
86
99
122
91.0
85
133
134
113.1
16
16
18.3
65
21
93
37.8
9
13
14
9.9
110
10
133
83.4
41
47
49.0
1,610
1,653
268.8
41
41
70.8
336
372
133.6 I
614
1,029
1,068
268.3
12,433
22,931
23,042
531.6
375
665
782
583.4
160
614
618
521.6
90
103
117.6
249
37
372
151.3
46
71
74
52.6
37
101
550
344.8
43
211
220.1
3.900
4,213
685.1
269
273
471.3
370
501
179.9
1,927
3.157
3,310
831.4
22,048
45.923
46,184
1,065.5
836
1,037
1,312
978.8
326
1,098
1.105
932.6
397
451
515.1
963
380
2,284
9291
510
844
862
612.3
631
133
1,222
766.1
264
561
585.2
7,655
8,537
1,388.3
792
844
1,457.0
1,173
2.037
731.4
12,926
18,401
19,021
4,777.7
41,407
146,074
147,241
3,397.0
3,036
3,815
4,369
3,259.4
2,053
4,387
4,431
3,739.7
1.665
2,030
2,318.6
3,573
1,332
6,620
2,692.8
2.382
3,915
4,024
2.858.5
2,721
909
4,778
2,995.3
1,609
3,115
3,249.2
29,533
31,455
5,115.2
2.312
2,366
4,084.3
3,094
5,695
2,044.8
674
927
960
241.1
27,344
45,075
45,238
1,043.7
183
220
284
211.9
99
201
203
171.3
118
132
150.8
283
III
571
232.3
98
178
184
130.7
129
32
232
145.4
43
81
84.5
5,431
5,615
9I3.I
155
156
269.3
371
551
197.f
S«e footnote) at end of table.
86
Table 6. — Index of Crime. Metropolitan Statistical Areas, 1992 — Continued
Metropolilan Stalislical Area
Eugciw-Spriogfield. Or. M5A
(Includes Lane County.)
Cit\ of:
Eugene
Spnngfield
Total area actually repocling
Rate per 100.000 inhabitants
ETmsTille-HeiidersoD, In.-Ky. MSA
(Includes Posey. Vandeibuigh and
Wamck Counties. In., and Henderson
County. Ky.)
City of:
Evansville. In
Henderson. Ky
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
fu^Moorhetd, NJ).-Mii. MSA
(Includes Cass County. N.D.. and Oay
County. Mn.)
City of:
Fargo. N.D
Moorhead. Mn
Total area actually reporting
Rate per 100.000 inhabitants
FayelteriUe, N.C. MSA
(Includes Cumberland County.)
City of Fayetteville
Total area actually repotting
Rate per 100.000 inhabitants
Fiyeltetille-Springdale-Rogers, Ar.
M.SJV
(Includes Benton and Washington
Counties.)
City of:
Fayetteville
Spnngdale
Rogers
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Flint. Mi. MSA
(Includes Genesee County.)
City of Flint
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
FWeoce, Al. MSA
(Includes Colbert and Lauderdale
Counties.)
City of Rorence
Total area actually reporting
Estimated total
Rate per 1 00.000 inhabitants
Florence, S.C. MSA.
(Includes Florence County.)
City of Florence
Total area actually reporting
Estimated total
Rate per 100.000 mhabitants
Fort Landerdile. R M.SA.
(Includes Broward County.)
City of Fort Lauderdale
Total area actually reporting
Rale per 100.000 inhabitants
Fort Myers-Cipe Coral. F\. MSA.
(Includes Lee County.)
City of:
Fort Myers
Cape Coral
Total area actually reporting
Rate per 100.000 inhabitants
Population
2%J05
118,006
46.799
100.0%
284,809
128.956
26,435
79.3%
100.0%
154,146
73.832
3,639
33,069
1,862
100.0%
6,451
4,185.0
283.441
780.142
10,120
100.0%
23,298
8,219.7
215.225
134.416
349 J57
47,127
78,178
100.0%
Crime
Index
total
9,399
3,373
16,088
5,429.5
6.560
2,350
10,523
12,689
4,455.3
72.962
2,795
30,554
1,519
25.198
1,710
98.9%
8,775
100.0%
8,921
4,145.0
43«.895
142,906
18.738
98.9%
32,154
100.0%
32,401
7,416.2
37.285
1.944
99.4%
4.026
100.0%
4,078
3,033,9
118,150
30,806
3,208
99.3%
7,934
100.0%
7,999
6,770.2
308.841
55,727
25,044
100.0%
111,595
8,526.2
7,740
4.182
22,050
6,311.6
Modified
Cnme
Index
total'
Violent
crime-'
487
257
965
325.7
685
588
1,450
1,620
568.8
104
47
185
120.0
1,561
2,659
938.1
103
73
38
374
385
178.9
3,755
4,972
4,995
1,143.3
232
382
388
288.7
412
1.107
1,116
944.6
2,282
12,812
978.9
1.539
255
2,657
760.5
Property
crime'
8,912
3,116
15,123
5,103.9
5,875
1,762
9,073
11.069
3,886.5
3,535
1,815
6,266
4,065.0
8,559
20,639
7,281.6
2,692
1,446
1,672
8,401
8,536
3,966.1
14,983
27,182
27,406
6,272.9
1.712
3,644
3,690
2,745.2
2,796
6,827
6,883
5,825.6
22,762
98,783
7,547,4
6,201
3,927
19,393
5,551.1
Murder
and non-
negligent
man-
slaughter
2
2
II
3.7
1
9
11
3.9
12
31
10.9
5
5
2.3
52
57
57
13.0
3
15
15
12.7
12
85
6.5
34
9.7
Forcible
rape
57
31
123
41.5
50
12
74
91
32.0
49
60
38.9
92
203
71.6
14
7
3
36
37
17.2
238
407
409
93.6
14
19
19
14.1
29
95
96
81.3
70
512
39.1
42
26
162
46.4
Robbery
228
55
316
106.6
126
29
158
193
67.8
16
4
24
15.6
525
815
287.5
22
12
13
61
64
29.7
955
1,196
1,201
274.9
23
48
49
36.5
108
178
180
152.3
1.309
4,585
350.3
618
37
952
272.5
Aggra-
vated
assault
200
169
515
173.8
501
546
1,209
1,325
465.2
37
34
98
63.6
932
1,610
568.0
64
54
22
272
279
129.6
2,510
3,312
3,328
761.7
192
310
315
234.3
272
819
825
698.3
891
7,630
583.0
867
192
1,509
431.9
Burglary
1,799
584
3,202
1,080.6
1,525
317
2,132
2,596
911.5
314
235
729
472.9
2,341
6,249
2,204.7
465
300
224
1,717
1,742
809.4
4.388
6.970
7,007
1.603.8
306
742
753
560.2
710
2,214
2,226
1,884.0
6,305
23,722
1,812.4
1,791
1,245
5,669
1,622.7
Larceny-
theft
6,697
2,386
11,128
3,755.6
4,028
1,366
6,481
7,824
2,747.1
3,015
1,510
5,180
3,360.5
5,456
12,647
4,462.0
2,048
1,028
1,386
6,224
6,326
2,939.2
8,186
16,605
16,769
3,838.2
1,348
2,745
2,777
2,066.0
1,959
4,237
4,277
3,620.0
13,621
63,542
4.854.8
3.383
2,458
11.043
3,160.9
Motor
vehicle
theft
416
146
793
267.6
322
79
460
649
227.9
206
70
357
231.6
762
1,743
614.9
179
118
62
460
468
217.4
2,409
3,607
3,630
830.9
58
157
160
119.0
127
376
380
321.6
2,836
11.519
880.1
1.027
224
2,681
767.4
See footnotes at end of table.
87
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Fort Pierce-Port St. Lucie, Fl. MSA. ...
(Includes Martm and St. Lucie
Counties.)
City of:
Fort Pierce
Total area actually reporting
Rate per 100.000 inhabitants
Fort Smith, Ar.-Ok. M5.A
(Includes Crawford and Sebastian
Counties. Ar., and Sequoyah County,
Ok.)
City of Fort Smith
Total area actually reporting
Rate per 100,000 inhabitants
Fort Walton Beach, R M.SA
(Includes Okaloosa County.)
City of Fort Walton Beach
Total area actually reportmg
Rate per 100.000 inhabitants
Fort Wayne, In. M.S.A
(Includes Adams, Allen, De Kalb,
Huntington, Wells, and Whitley
Counties.)
City of Fort Wayne
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Fort Worth-Arlington, Tx. M.SjV
(Includes Johnson. Parker and Tarrant
Counties.)
City of:
Forth Worth
Ariington
Total area actually reporting
Rate per lOO.OOO 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. MSA
(Includes Etowah County.)
City of Gadsden
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Gainesville, FI. M.S.A
(Includes Alachua County.)
City of Gainesville
Total area actually reporting
Rate per 100.000 inhabitants
Galveslon-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
Glens Falls, N.Y. M.S.A
(Includes Wartcn and Washington
Counties.)
City of Glens Falls
Total area actually reporting
Rate per 100,000 inhabitants
261,737
38,395
100.0%
179,528
74,291
100.0%
149,885
22,383
100.0%
4<iS,968
176,751
89.4%
100.0%
1,503,718
225,957
61.397
42.430
100.0%
617,359
119,125
86.026
96.8%
100.0%
119.373
15.129
100.0%
4,902
16.167
6.176.8
5,961
8,180
4,556.4
1.339
5.665
3.779.6
15,841
20.493
22,379
4.802.7
465,262
65.764
272,037
23.093
100.0%
127,688
8.491.5
783,6*9
367,376
44.498
100.0%
68.468
8,736.9
101.739
43.526
4,911
88.5%
6,109
100.0%
6.852
6.734.9
189,308
88.373
10,520
100.0%
20.365
10,757.6
7.637
4.093
17,556
7,769.6
12.005
7.667
35.991
36.978
5,989.7
1.156
4.234
3,546.9
834
1,868
713.7
461
670
373.2
147
586
391.0
977
1.323
1.471
315.7
9,392
2.056
15,033
999.7
5,363
8,435
1.076.3
1.077
1,221
1,318
1,295.5
1,378
2.455
1.296.8
1. 104
299
I.80I
797.1
2,074
1,305
5,596
5,679
9199
322
561
470.0
4,068
14.299
5,463.1
5,500
7,510
4,183.2
1.192
5,079
3,388.6
14,864
19,170
20.908
4,487.0
56,372
21,037
112,655
7.491.8
39.135
60,033
7,660.5
3.834
4.888
5.534
5.439.4
9.142
17,910
9,460.8
6.533
3.794
15,755
6.972.6
9.931
6.362
30,395
31,299
5,069.8
834
3,673
3,076.9
10
16
6.1
2
5
2.8
1
3
2,0
18
26
28
6.0
153
16
197
13.1
81
137
17.5
II
19
20
19.7
16
8.5
39
17.3
82
II
105
106
17.2
24
96
36.7
55
68
37.9
7
17
11.3
126
155
170
36.5
525
146
1,016
67.6
203
419
53.5
24
34
38
37.4
55
132
69.7
65
31
156
69.0
173
58
307
313
50.7
3
28
23.5
219
442
168.9
93
100
55.7
26
111
74.1
533
555
584
125.3
3,488
725
4.903
326.1
3.094
3.747
478.1
135
156
176
173.0
380
577
304.8
294
140
536
237.2
829
325
1,418
1,430
231.6
17
14.2
581
1,314
502.0
311
497
276.8
113
455
303.6
300
587
689
147.9
5,226
1,169
8,917
593.0
1.985
4.132
527.3
907
1,012
1,084
1,065.5
935
1,730
913.9
724
120
1,070
473.5
990
911
3.766
3.830
620.4
311
516
432.3
1.380
4.593
1.754.8
1,049
1,680
935.8
203
1,122
748.6
2.392
3.227
3.609
774.5
14.304
4.290
26.523
1,763.8
9,413
15,886
2,027.1
933
1.259
1.411
1,386.9
2,512
5,037
2,660.7
1,333
736
3,676
1,626.9
.3,061
1,189
6,382
6,515
1.055.3
116
758
635.0
2,196
8,607
3,288.4
4,119
5,363
2.987.3
916
3.722
2.483.2
10.740
13.925
15.122
3,245.3
32.128
13.800
69.837
4.644.3
16.711
27.604
3,522.4
2,426
3,104
3.553
3,492.3
6.049
11.590
6.122.3
4.416
2.646
10.451
4.625.2
3,277
3,561
16,269
16,977
2.749.9
694
2.826
2.367.4
492
1.099
419,9
332
467
260.1
73
235
156.8
1,732
2.018
2,177
467.2
9.940
2,947
16,295
1,083.6
13,011
16,543
2.1 1 1.0
475
525
570
560.3
581
1.283
677.7
784
412
1.628
720.5
3.593
1.612
7,744
7,807
1,264.6
24
89
74.6
See footnotes at end of table.
Table 6. — Index of Crime. Metropolitan Statistical Areas. 1992 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime-
Property
cnme*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CoUsboro. N.C. JtiSA
(Includes WavTie County)
City of Goldsboro
Total aira actually reporting
Rate per lOO.tXX) inhabitants
Gnod Forks. N.D.-Mn. M5.A
(includes Grand Forks County. N.D.,
and Polk County Mn.)
City of Grand Forks N.D
Total area actually repotting
Estimated total
Rate per 100.000 inhabitants
Gnad Ripids-Muskegoii-HolUnd, Mi.
MSA
(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. yiSA
(Includes Weld County.)
City of Greeley
Total area actually reporting
Rate per 100.000 inhabitants
Green Bay, Wi. MSA
(Includes Brown County.)
City of Green Bay
Total area actually repotting
Rate per 100.000 inhabitants
Greensboro- Winston-Saiem-
High Point. N.C. MSA
(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 inhabiunis
Greenrille. N.C. MSA.
(Includes Pitt County.)
City of Greenville
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
CreeDvilte-Spartanbarg-Aiidersoii. S.C.
MSA
(Includes Anderson. Cherokee.
Greenville. Pickens and Spartanburg
Counties.)
City of
Greenville
Spananburg
Anderson
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Hagmtowii. Md. MSA.
(Includes Washington County.)
City of Hagerstown
Total area actually reporting
Rate per 100,000 inhabitants
108,04!!
189,454
100.0%
103.641
49.207
99.5%
100.0%
952.154
192.008
40.897
31.212
99.9%
100.0%
138,846
63,761
100.0%
199.174
98.738
100.0%
1,084.803
859 J69
4.178
6.009
5.561.6
2.863
4.293
4.318
4,166.3
17.015
5,368
1.960
50.824
50.853
5,340.8
4,373
7.643
5,504.7
4,695
7,620
3,825.8
189.454
15.593
148,123
17.180
71,743
6,994
99.4%
65.662
100.0%
66.206
6,103.0
109.407
46,425
5,319
99.6%
8,990
100.0%
9,031
8.254.5
60.225
6.993
44,916
5.811
27,056
2,195
99.9%
48.494
100.0%
48.551
124.602
5,649.6
36,382
1.845
100.0%
3.198
2,566.6
684
832
770.0
3.040
624
144
5,661
5,664
594.9
158
415
298.9
430
527
264.6
1,626
2,491
958
7.424
7,485
690.0
550
900
904
826.3
1.168
1,165
450
8,046
8.054
937.2
253
392
314.6
3.494
5.177
4.791.5
72
2.791
178
4.115
179
4.139
172.7
3,993.6
13.975
4.744
1,816
45,163
45,189
4,746.0
14
13.0
4.215
2
7.228
7
5,205.8
5.0
4,265
1
7.093
1
3.561.2
.5
13,967
23
14,689
33
6,036
10
58,238
109
58.721
110
5,413.1
10.1
4.769
9
8,090
20
8,127
20
7,428.2
18.3
5,825
11
4,646
5
1,745
9
40,448
68
40.497
68
4,712.4
7.9
1,592
2,806
2
2,252.0
1.6
18
29
26.8
16
25
25
24.1
413
29
18
913
913
95.9
39
62
44.7
49
63
31.6
106
144
58
444
447
41.2
30
52
52
47.5
50
35
29
432
432
50.3
19
30
24.1
238
270
249.9
13
14
14
13,5
756
129
14
1.138
1.139
119.6
38
45
22.6
687
1,012
289
2,345
2,363
217.8
204
248
249
227.6
320
262
84
1,444
1,446
168.3
46
71
57.0
420
519
480.4
43
139
140
135.1
1.858
462
liO
3,574
3,576
375.6
85
289
208.1
342
418
209.9
810
1.302
601
4,526
4,565
420.8
307
580
583
532.9
787
863
328
6,102
6,108
710.8
188
289
231.9
862
1,736
1,606.7
357
616
619
597.3
3,777
1,642
173
10,827
10,831
1,137.5
814
1,578
1,136.5
631
964
484.0
3.342
4,703
1,862
18,119
18,247
1,682.1
i,469
2,855
2,865
2,618.7
1,167
1,047
568
11,180
11,191
1,302.2
371
686
550.6
2,412
3,112
2,880.3
2.278
3,267
3,287
3,171.5
9,090
2,744
1,555
31,664
31,683
3,327.5
3,244
5,351
3,853.9
3,425
5,826
2,925.1
9,957
9,029
3,892
37,086
37,418
3,449.3
3,021
4,803
4,828
4,412.9
4,289
3,293
1,088
26,655
26,690
3,105.8
1.130
1.956
1,569.8
220
329
304.5
156
232
233
224.8
358
88
2,672
2,675
280.9
157
299
215.3
209
303
152.1
668
957
282
3,033
3,056
281.7
279
432
434
396.7
369
306
89
2,613
2,616
304.4
91
164
131.6
See footnotes at end of table.
89
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Cnrae
Index
total
Modified
Crime
Index
total'
Violent
crime-
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
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 lOO.OOO inhabitants
Hartford, Cl. 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,(X)0 inhabitants
Hiclfory-Morganton, N.C. M.S.A
(Includes Alexander, Burke, Caldwell,
and Catawba Counties.)
City of:
Hickory
Morganton
Total area actually reporting
Estimated total
Rate per l(K).0(K) 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
Estimated total
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-AshUnd, W.V.-Ky.-Oh.
MSA
(Includes Cabell and Wayne Counties,
W.V., Boyd and Greenup Counties,
Ky., and Lawrence County, Oh.)
City of:
Huntington. W.V
Ashland, Ky
Total area actually reporting
Estimated total
Rale 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
Indianapolis, In. M.S.A
(Includes Boone. Hamilton. Hancock,
Hendricks, Johnson, Madison, Marion,
Morgan and Shelby Counties.)
City of Indianapolis
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
595,094
52,936
25,065
18,616
95.9%
100.0%
1,055,773
139.477
100.0%
301,844
3,453,675
1.695,239
100.0%
292,220
55,409
24,068
82.9%
100.0%
299,958
163.560
99.8%
100.0%
1,410,497
493,928
75.5%
100.0%
5,508
1,222
868
21,028
21,716
3,649.2
21,088
56,426
5,344.5
29,215
3,211
15,572
1,093
99.8%
12,280
100.0%
12,322
4,082.2
875,297
100.0%
53,558
6,118.8
185,738
37,853
2,115
91.2%
6,295
100.0%
7,491
4,033.1
148,284
239,951
6,947.7
3,937
940
8,323
9,550
3,268.1
15.850
19,126
19,170
6,390.9
35,858
71,335
84,458
5,987.8
1,115
59
80
2,365
2,431
408.5
3,107
5,384
510.0
355
56
1,254
1,258
416.8
2,382
272.1
24,837
34,952
1,012.0
369
88
756
843
288.5
1,515
1,940
1,945
648.4
6.814
8,894
9,920
703.3
4,393
1,163
788
18,663
19,285
3,240.7
17.981
51,042
4,834.6
2,856
1,037
11,026
11,064
3,665.5
51,176
5,846.7
537
1,578
880
5,415
1,039
6,452
559.4
3,473.7
123,447
204,999
5,935.7
3,568
852
7,567
8,707
2,979.6
14,335
17,186
17,225
5,742.5
29.044
62.441
74.538
5,284.5
24
24
4.0
13
23
2.2
25
25
8,3
31
3.5
465
607
17.6
14
15
5.1
20
23
23
7.7
107
120
8.5
73
10
9
157
161
27.1
125
311
29.5
18
2
86
86
28.5
326
37.2
26
61
68
36.6
1.169
1,991
57.6
81
15
143
159
54.4
73
104
104
34.7
541
810
914
64.8
556
17
29
782
798
134.1
1,492
2,230
211.2
133
II
254
255
84.5
1,013
115.7
106
198
230
123.8
11,130
13,796
399.5
120
16
186
211
72.2
405
453
454
151.4
2.157
2,857
3,060
216.9
475
32
42
1,402
1,448
243.3
1,477
2,820
267.1
195
43
892
295.5
1,012
115.6
397
602
721
388.2
12,073
18,558
537.3
161
57
413
458
156.7
1,017
1,360
1,364
454.7
4,028
5,120
5,826
413.0
1,352
163
155
3,801
3,906
656.4
4,419
11,665
1,104.9
616
181
3,250
3,260
1,080.0
9,106
1,040.3
352
1.622
1,823
981.5
30,207
51,123
1,480.2
809
224
1,926
2,220
759.7
2.732
3,583
3,592
1,197.5
8,102
15,039
17,724
1,256.6
2,389
957
601
13,375
13,821
2,322.5
9,941
31,515
2,985.0
2.080
830
7,201
7,227
2,394.3
38,563
4,405.7
1,119
3,482
4,216
2,269.9
62,302
107,919
3,124.8
2,687
578
5,296
6,061
2,074,1
10,945
12,823
12,850
4,283.9
15,730
39,529
47,830
3,391.0
652
43
32
1,487
1,558
261
3,621
7,862
744.7
160
26
575
577
191.2
3,507
400.7
107
311
413
222.4
30,938
45,957
1,330.7
72
50
345
426
145.8
658
780
783
261.0
5,212
7,873
8,984
636.9
See footnotes at end of table
90
Table 6. — Index of Crime, Metropolitan Sutistical Areas, 1992 — Continued
Metropolitan Statistical Aiva
Population
Cnme
Index
total
Modined
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Buiglary
Larceny-
theft
Motor
vehicle
theft
Jtcksoi. Mi. M5A
(Includes Jackson County.)
City of Jackson
Total area actually reponing
Rate per 100.000 inhabitants
JicksoD, Ms. M.S.A
(Includes Hinds. Madison and Rankin
Counties.)
City of Jackson
Total area actually reponing
Estimated total
Rate per 1 00.000 inhabitants
JtcksoQ. In. M.S.A
(Includes Madison County.)
City of Jackson
Total area actually reporting
Rate per 100.000 inhabitants
JtcksoiiTUIe, R M.S.A
(Includes Gay. Duval, Nassau and St.
Johns Counties.)
City of Jacksonville
Total area actually reporting
Estimated total
Rale per 1 00.000 inhabitants
JicksoBriUe, N.C. M5A
(Includes Onslow County.)
City of Jacksonville
Total area actually reporting
Rate per 100.000 inhabitants
Jtmestoini, N.Y. MSA
(Includes Chautauqua County.)
City of Jamestown
Total area actually reponing
Rate per 100,000 inhabitants
Ja««sville-Bek>it. Wi. MSA
(Includes Rock County.)
City of:
Janesville
Beloit
Total area actually reponing
Estimated total
Rate per 100.000 inhabitants
Johnoi Cily-Kligsporl-Bristol, Tn.-Vt.
MSA.
(Includes Caner. Hawkins, Sullivan.
Unicoi and Washington Counties, Tn.,
Bristol City and Scott and Washington
Counties, Va.)
City of:
Johnson City, Tn
Kingspon, Tn
Bristol, Tn
Total area actually reponing
Estimated total
Rate per 100,000 inhabitants
Johnstown, Pa. MSA.
(Includes Cambria and Somerjet
Counties.)
City of Johnstown
Total area aaually reponing
Estimated total
Rate per 100.000 inhabitants
Kilanaioo-Binle Crtck, Mi. MSA.
(Includes Calhoun, Kalamazoo and
Van Buren Counties.)
City of:
Kalamazoo
Battle Creek
Total area aaually reponing
Rate per 100,000 inhabitants
152,027
38.016
100.0%
401.8M
448,917
243,777
28,434
95.1%
100.0%
435,9«7
81,500
54,355
100.0%
4,006
7,369
4,847.2
199,964
26,147
91.3%
30,738
100.0%
32,844
8,173.1
80J27
52,116
6,039
100.0%
6,937
8,636.0
945,413
663,899
69.777
98.7%
85,675
100.0%
86,686
9,1691
154,676
30,982
3,885
100.0%
7,029
4,544.3
142,900
34,928
1,827
100.0%
5,317
3,720.8
142,786
53,360
3,772
36,409
2,717
991%
8,125
100.0%
8,179
5,728.2
50,866
2,752
37,459
2,894
24,124
975
95.8%
12,783
100.0%
13,897
3,095.7
1,341
3,899
4,243
1,740.5
8,020
5,476
27,061
I 6,207.1
1,309
1.747
1,149.1
2,574
2,877
3,074
765,0
1,049
1,142
1,421.7
11.548
13.498
13,619
1,440.5
379
513
331.7
58
296
207.1
137
89
360
362
253.5
125
290
86
1,014
1,160
258.4
245
473
506
207.6
1,625
881
3,625
831.5
2,697
5,622
3,698.0
23,573
27,861
29,770
7,408.1
4,990
5,795
7,214.3
58,229
72,177
73,067
7,728.6
3,506
6,516
4,212.7
1,769
5,021
3,513.6
3,635
2,628
7,765
7,817
5,474.6
2,627
2.604
889
11,769
12,737
2,837.3
1,096
3,426
3,737
1,533.0
6.395
4.595
23.436
5.375.6
5
3.3
63
71
75
18.7
12
14
17.4
123
141
142
15.0
5
10
6.5
1
1
I
14
15
3.3
3
9
9
3.7
18
4.1
73
179
117.7
210
241
253
63.0
50
60
74.7
713
836
840
88.9
15
42
27.2
19
13.3
20
7
37
37
25.9
21
16
13
105
114
25.4
27
46
48
19.7
61
69
374
85.8
79
97
63.8
1,249
1,331
1,393
346.6
230
235
292.6
3,614
3,933
3,970
419.9
107
143
92.5
18
45
31.5
9
51
66
67
46.9
29
34
5
117
135
30.1
47
74
82
33.6
307
217
650
149.1
1,157
1,466
964.3
1,052
1,234
1,353
336.7
757
833
1.037.0
7,098
8,588
8,667
916.7
252
318
205.6
31
230
161.0
107
31
255
256
1793
74
239
67
778
896
199.6
168
344
367
150.5
1,255
587
2,583
592.5
520
1,178
774.9
7,492
8,911
9,419
2,343.9
1,302
1,610
2,004.3
16,304
19,314
19,529
2,065.7
778
1.819
1,176.0
326
1,006
704.0
637
419
1,344
1,351
946.2
573
474
178
3,281
3.490
777.4
371
1.174
1.226
502.9
1.608
I.2I3
5,852
1,342.3
1,963
4,133
2,718.6
12,020
14,619
15,911
3,959.4
3,437
3,888
4,840.2
33,138
43,199
43,785
4,631.3
2,555
4,381
2,832.4
1,412
3,860
2,701.2
2,865
2,075
6,094
6,137
4,298.0
1,880
1,980
677
7,762
8.468
1,886.3
643
1.980
2.203
903.7
4.382
3.074
16,364
3,753,5
214
311
204.6
4.061
4.331
4.440
1,104.9
251
297
369.7
8,787
9,664
9,753
1,031.6
173
316
204.3
31
155
108.5
133
134
327
329
230.4
174
150
34
726
779
173.5
82
272
308
126.3
403
308
1,220
279.8
See footnotes at end of table.
91
Table 6. — Index of Crime, Metropolilan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modiried
Crime
Index
total'
Violent
cnme-'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
then
Kulukee, II. M5.A.'
(Includes Kankakee County.)
City of Kankakee*
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
KiDsis City, Mo.-Ks. M,S.A
(Includes Cass, Clay, Clinton, Jackson.
Lafayette, Platte and Ray Counties,
Mo., and Johnson. Leavenworth, Miami
and Wyandotte Counties, Ks.)
City of:
Kansas City, Ks
Kansas City, Mo
Total area actually repotting
Estimated total
Rate per 1 00,000 inhabitants
Kenosha, Wi. MSA
(Includes Kenosha County.)
City of Kenosha
Total area actually reporting
Rate per 100,000 inhabitants
Killeen-Temple, Tx. M,S.A
(Includes Bell and Coryell Counties.)
City of:
Killeen
Temple
Total area actually reporting
Rale per 100,000 inhabitants
Kokomo, In. M.S.A
(Includes Howard and Tipton Counties.)
City of Kokomo
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
U Crosse, Wi.-Mn. MSJl
(Includes La Crosse County, Wi., and
Houston County, Mn.)
City of La Crosse Wi
Total area actually reporting
Rate per 100,000 mhabitants
Libyelte, La. M5.A
(Includes Acadia. Lafayette, St. Landry,
and St. Martin Parishes.)
City of Lafayette
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Libyelte, In. M,S,A
(Includes Clinton and Tippecanoe
Counties.)
City of Lafayette
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Lakclud- Winter Haven, R MSA
(Includes Polk County.)
City of:
Lakeland
Winter Haven
Total area actually reporting
Rate per 100.000 mhabitants
Lucisler, Pa. M,S.A
(Includes Lancaster County.)
City of Lancaster
Total area actually reporting
Estimated total
Rate per 100,000 inhabiUnts
97,934
28,058
98.8%
100.0%
1,608,411
152,511
17,190
441,162
55,033
96.3%
110,941
100.0%
113,209
7,038.6
131,1%
82,243
4.579
100.0%
6,675
5,087.8
26SJ54
66,038
5,284
47,925
3.543
100.0%
13,136
4,950.4
99,004
45,917
2,290
83.4%
2,968
100.0%
3,637
3,673.6
119,143
52,203
100.0%
350,419
95.939
90.3%
100.0%
165,002
44,693
90.0%
100.0%
422,603
3.053
4,525
3,798.0
8.658
14,466
16,963
4,840.8
2,434
6,880
7,487
4,537.5
73,575
10,280
25,776
3,959
100.0%
37,349
8,837.8
427,316
56,146
4.609
99.7%
13,648
100.0%
13,685
3,202.5
2,646
12,594
18,407
18,594
1,156.0
359
441
336.1
419
635
1,505
567.2
198
329
381
384.8
33
92
77.2
874
1,638
1,971
562.5
86
450
498
301.8
1.027
472
4,331
1,024,8
371
794
797
186.5
3.145
5,336
5,388
5,501.7
14,544
42,439
92,534
94,615
5.882.5
4,220
6,234
4.751.7
4.865
2.908
11,631
4.3832
2,092
2,639
3,256
3,288.8
3,020
4,433
3,720.7
7,784
12,828
14,992
4,278.3
2,348
6,430
6,989
4,235.7
9,253
3,487
33,018
7.813.0
4,238
12,854
12,888
3.016.0
10
II
II
11.2
60
150
226
229
14.2
3
4
3.0
II
3
17
6.4
I
2
2
2.0
I
5
4.2
4
5
6
3.6
7
3
39
9.2
4
12
12
2.8
178
564
980
994
61.8
43
59
45.0
86
90
234
88.2
22
29
33
33.3
18
15.1
54
113
129
36.8
12
35
40
242
54
29
211
49.9
36
76
76
17.8
248
274
275
280,8
899
4.494
5,986
6,026
374.7
122
142
108.2
137
79
252
95.0
36
42
52
52.5
10
15
12.6
256
321
387
110.4
15
38
48
29.1
384
149
1,142
270.2
195
283
284
66.5
346
503
506
516.7
1.509
7,386
11,215
11,345
705.4
191
236
179.9
185
463
1,002
377.6
139
256
294
297.0
14
54
45.3
547
1,176
1,424
406.4
55
372
404
244.8
582
291
2.939
695,5
136
423
425
995
937
1,419
1,429
1,459.1
4.198
12,551
25,748
26,218
1,630.1
799
1,158
882.6
1,549
617
3,228
1,216.5
377
535
659
665.6
174
323
271,1
1.527
2,945
3,365
960.3
428
1,002
1,132
686.1
2.306
653
9.770
2.311,9
965
2.546
2,552
597.2
1,852
3,416
3,453
3,525.8
8,221
21,846
54,013
55,451
3,447.6
3,159
4,716
3,594.6
3,047
2,069
7,724
2,910.8
1.641
1,990
2,430
2,454.4
2.777
3.983
3.343,0
5.653
8,964
10,495
2,995.0
1,805
5,161
5,537
3,355.7
5,987
2,466
19,923
4.714.4
2,884
9,438
9,462
2,214.3
356
501
506
516.7
2,125
8,042
12,773
12,946
804.9
262
360
274.4
269
222
679
255.9
74
114
167
168.7
69
127
106.6
604
919
1,132
323.0
115
267
320
193.9
960
368
3,325
786.8
389
870
874
204,5
See footnotes at end of table.
92
T«ble 6. — Index of Crime, Metropolitan Stalislical Areas, 1992 — Continued
Mclropolitan Slalistical Area
Population
Cnme
Index
total
Modified
Crime
Index
lolal'
Violent
crime-
Property
cnme^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Lusint-Easl Uisiij. Mi. MSA
(Includes Clinton. Eaton and Ingham
Counties.)
Cily of:
Lansing
East Lansing
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Lan4o. Ti. M5jV
(Includes Webb County.)
City of Laredo
Total area actually reporting
Rate per 100.000 inhabitants
Las erects, N.M. M5^
(Includes Dona Ana County.)
City of Las Cmces
Total area actually repotting
Estimated total
Rate per 100.000 inhabitants
la Vegis, N».-Ai. MSA
(Includes Clark and Nye Counties. Nv..
and Mohave County. Az.)
City of Las Vegas Nv
Total area actually reponing
Estimated total
Rate per 100.000 inhabitants
Lawrenct, K$. MSA.
(Includes Douglas County.)
City of Lawrence
Total area actually reporting
Rate per lOO.OOO inhabitants
Lawtoii. Ok. M.S.A
(Includes Comanche County.)
Cily of Lawton
Total area actually repotting
Rate per 100.000 inhabitants
Lewbnw-Aabwn. Me. M.S.A
(Includes part of Androscoggin County.)
City of:
Lewiston
Auburn
Total area actually repotting
Rale per 100.000 inhabitants
Lexliitoii, Ky. MSA
(Includes Bourbon. Clark. Fayette.
Jessamine. Scott and Woodford
Counties.)
City of Lexington
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
UkoIq. Nb. MSA
(Includes Lancaster County.)
City of Lincoln
Total area actually reporting
Rale per 100.000 inhabiunts
Little Rock-Noith Little Rock. Ar.
MSA.
(Includes Faulkner. Lonoke, Pulaski and
Saline Counties.)
City of:
Little Rock
North Little Rock
Total area actually reponing
Rate per 100.000 inhabitants
LoigTlew-MmhaU, Tx. M5jI
(Includes Gregg. Harrison and Upshur
Counties.)
City of:
Longview
Marshall
Total area actually reponing
Rate per 100.000 inhabitants
439,243
129.259
9.257
51.449
2.167
99.8%
23.075
100.0%
23.110
5.261.3
138.488
127.742
10.002
100.0%
10.355
7.477.2
141.40S
64,829
6,237
98.5%
8,762
100.0%
8,916
6,305.3
936,084
678,385
49,880
92.3%
59,916
100.0%
63,182
6,749.6
83.293
66,810
4.068
100.0%
5.042
6.053.3
113.838
82,261
5,620
100.0%
5,979
5,252.2
105.861
39,251
23,800
100.0%
355,006
523.823
179,498
63,007
100.0%
203,936
73,082
24,615
100.0%
2,228
722
3,954
3,735.1
229,628
14,782
99.8%
20.293
100.0%
20.323
5.724.7
217,458
195,329
14,818
100.0%
16,463
7,570.7
27,140
7,348
45,473
8,681.0
6,602
2,068
12,587
6,172.0
1,782
139
2,677
2,680
6101
904
955
689.6
596
854
868
613.8
6,027
6,752
7,058
754.0
297
364
437.0
881
910
799.4
22
134
126.6
1.977
2,739
2,744
772.9
1,233
1,292
594.1
5,299
670
7.191
1.372.8
690
267
1,418
695.3
7.475
2.028
20.398
20.430
4,651,2
9,098
9,400
6,787.6
5.641
7,908
8,048
5,691.5
43,853
53,164
56,124
5,995.6
3,771
4,678
5,616.3
4.739
5.069
4,452.8
2,140
700
3,820
3,608.5
12,805
17,554
17,579
4,951.7
13,585
15,171
6,976.5
21,841
6.678
38,282
7,308.2
5,912
1.801
11,169
5,476.7
II
II
2.5
21
21
15.2
99
123
129
13.8
3
4
4.8
56
9
80
15.3
2
20
9.8
184
45
429
429
97.7
14
21
15.2
49
76
77
54.5
393
500
561
59,9
23
37
44.4
55
59
51.8
15
9
29
27.4
151
209
209
58.9
109
117
53.8
222
73
404
77.1
17
138
67,7
312
21
403
404
92,0
158
162
117.0
119
146
148
104.7
3,609
3,754
3,831
409.3
64
69
82.8
152
157
137.9
41
4
49
46.3
525
566
567
159.7
136
142,
65.3
1,226
314
1,680
3207
192
48
288
141.2
1,279
73
1,834
1.836
418.0
711
751
542.3
423
623
634
448.4
1,926
2,375
2,537
271.0
207
254
304.9
669
688
604.4
55
52.0
1,283
1,936
1,940
546.5
981
1,022
470.0
3,795
274
5,027
959.7
410
200
972
476.6
1.488
220
3.535
3,540
805.9
1,876
1,999
1,443.4
1,246
2,079
2,107
1,4900
10,337
12,974
13.716
1,465,3
785
1,027
1,233.0
1,136
1,233
1,083.1
596
134
1,035
977.7
2,831
3,657
3,662
1,031.5
2,211
2,405
1,106.0
5,392
1,326
9,091
1,735,5
1,494
496
3,143
1,541.2
5,253
1,604
15,428
15.452
3,517.9
6,094
6,257
4,518.1
3,947
5,237
5,340
3,776.4
26,116
32,021
34,003
3,632.5
2,853
3,501
4,203.2
3,251
3,467
3,045.6
1,487
519
2,625
2,479.7
9,319
13,064
13,083
3,685.3
10,986
12,337
5,673.3
13,832
4,645
25,254
4,821.1
3.869
1.200
7,149
3,505.5
734
204
1,435
1.438
327.4
1,128
1,144
826.1
448
592
601
425.0
7,400
8,169
8,405
897.9
133
150
180.1
352
369
324.1
57
47
160
151.1
655
833
834
234.9
388
429
197.3
2,617
707
3,937
751.6
549
105
877
430.0
See footnotes at end of table.
93
Table 6. — Index of Crime. Metropolitan Statistical Areas, 1992 — Conrinued
Metropolitan Statistical Area
Los AngelevLoDg Beach, Ca. M^.A
(Includes Los Angeles County.)
City of:
Los Angeles
Long Beach
Total area actually reporting
Rate per 100,000 inhabitants
Louisville, Ky.-ln. M,S^
(Includes Bullitt. JefTerson and Oldham
Counties, Ky., and Clark. Floyd.
Harrison, and Scott Counties, In.)
City of Louisville Ky
Total area actually repotting
Estimated total
Rate per 100,000 inhabitants
Lubbock, Tx. M5.A
(Includes Lubbock County.)
City of Lubbock
Total area actually reporting
Rate per 100,000 inhabitants
Lynchburg, Va. MSA
(Includes Lynchburg and Bedford Cities
and Amherst, Bedford and Campbell
Counties.)
City of Lynchburg
Total area actually reporting
Rate per 100,000 inhabiunts
MacoD, Ga. MSA
(Includes Bibb, Houston, Jones, Peach
and Twiggs Counties.)
City of Macon
Total area actually repotting
Estimated total
Rate per 100,000 inhabitants
Madison. Wi. MSA
(Includes Dane County.)
City of Madison
Total area actually reporting
Estimated total
Rate per 1 00,000 inhabitants
Mansfield, Oh. MSA
(Includes Crawford and Richland
Counties.)
City of Mansfield
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
McAllen-Edinborg-Mission. Tx. M.S.A. ..
(Includes Hidalgo County.)
City of:
McAllen
Edinburg
Mission
Total area actually reporting
Rate per 100.000 inhabitants
Medford-Ashlaod. Or. MSA
(Includes Jackson County.)
City of:
Medford
Ashland
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Melbourie-Tltiisville-Palni Bay. H.
MSA
(Includes Brevard County.)
City of:
Melbourne
Titusville
Palm Bay
Total area actually repotting
Rale per 100.000 inhabitants
Population
9,193J19
3,615,355
445,405
100.0%
967,561
274,312
18.642
95.2%
43,885
100.0%
45.715
4,724.8
230,588
193,545
13,366
100.0%
15,432
6,692.5
200,006
68,072
100.0%
303,144
176,706
51,414
82.2%
100.0%
398,648
87,332
31,062
29,781
100.0%
IS3J1S
49,175
17,003
99.8%
100.0%
415,929
62,181
41,068
65,294
100.0%
Crime
Index
total
338.531
35,337
681,008
7,407.6
3,656
6,440
3,219.9
111.100
11,171
99.9%
19,241
100.0%
19,257
6,352.4
368,920
195,767
11,508
99.6%
18,531
100.0%
18,595
5,040.4
5,507
8,780
9,774
5,531.2
11,813
2,488
1,904
31,106
7,802.9
3,977
941
7,815
7,828
5,105.8
5,902
3,639
3,953
28,307
6,805.7
Modified
Cnme
Index
total'
Violent
crime^
88.919
6.925
163.513
1,778.6
2,967
6,289
6,442
665.8
1,223
1,460
633.2
504
840
420.0
1,164
1,925
1,926
635.3
713
1.184
1,186
321.5
1,280
1.482
1,553
878.9
640
128
82
2.401
602.3
203
47
571
571
372.4
736
448
445
3.250
781.4
Property
crime^
249,612
28,412
517,495
5,629.0
15,675
37,596
39,273
4,059.0
12.143
13,972
6,059.3
3,152
5,600
2.799.9
10,007
17,316
17.331
5,717.1
10,795
17,347
17,409
4,718.9
4,227
7,298
8,221
4,652.4
11,173
2.360
1,822
28.705
7,200.6
3,774
894
7,244
7,257
4,733.4
5,166
3,191
3.508
25.057
6.024.3
Murder
and non-
negligent
man-
slaughter
1.094
104
1,919
20.9
39
64
65
6.7
36
44
44
14.5
3
4
4
2.3
23
5.8
5
5
3.3
3
2
3
17
4.1
Forcible
rape
1.872
218
3,865
42.0
120
285
299
30.9
158
170
73.7
29
63
31.5
78
140
140
46.2
81
110
110
29,8
62
68
78
44.1
15
2
2
80
20.1
24
9
73
73
47.6
24
25
15
140
33.7
Robbery
39.508
3,583
68,959
750.1
1,241
1,769
1,798
185.8
352
363
157.4
112
142
71.0
357
517
517
170.5
281
322
323
87.6
167
186
207
II7.I
123
30
13
358
89.8
29
15
66
66
43.0
116
98
49
593
142.6
vated
assault
46,445
3,020
88,770
965.6
1,567
4.171
4,280
442.3
699
910
394.6
354
624
312.0
693
1,224
1,225
404.1
348
748
749
203.0
1,048
1,224
1,264
715.3
498
95
67
1,940
486.6
149
23
427
427
278.5
593
323
378
2.500
601.1
Burglary
57,771
7,554
128.732
1,400,3
4,181
9,296
9.660
998.4
2.919
3,310
1.435.5
589
1,145
572.5
2,207
4.072
4,075
1,344.2
1.956
2,809
2,817
763.6
1,322
2.075
2,266
1,282.4
1,949
610
489
8.182
2.052.4
546
146
1,359
1,361
887.7
977
827
742
5,808
1,396.4
Larceny-
theft
123.860
14.540
255.506
2,779.3
8,796
24,113
25,278
2,612.5
8,506
9,879
4,284.3
2,390
4.184
2,091.9
6,938
11,955
11,966
3,947.3
8.209
13,723
13,774
3,733.6
2,710
4,890
5.549
3.140.2
7,187
1,470
1,125
16.646
4.175.6
3.077
701
5.551
5,561
3,627.2
3.748
2,179
2,591
17,625
4,237.5
Motor
vehicle
theft
67,981
6,318
133,257
1,449.5
2,698
4,187
4,335
448.0
71
783
339.6
173
271
135.5
862
1,289
1,290
425.5
630
815
818
221.7
195
333
406
229.8
2,037
280
208
3,877
972.5
151
47
334
335
218.5
441
185
175
1.624
390.5
See footnotes at end of table.
94
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolilan Stalistical Area
Populalion
Cnme
Index
total
Modified
Cnme
Index
total'
Violent
crime-
Properly
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
Memphis. Ti.-Ar.-M*. M5j4
(Includes Fayette, Shelby, and Tipton
Counties Tn , Cnttenden County. Ar..
and DeSoto County, Ms,)
City of Memphis Tn
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
MerceAC*. M5A
(Includes Merced County,)
City of Merced
Total area actually reporting
Rate per 100,000 inhabitants
Miami, R. MSA
(Includes Dade County.)
City of Miami
Total area actually reporting
Rate per 100,000 inhabitants
MUwaoket- Waukesha. Wi. MSA
(Includes Milwaukee, Ozaukee,
Washington and Waukesha
Counties)
City of
Milwaukee
Waukesha
Total area actually reporting
Rate per 100,000 inhabitants
Mianeapolis-St. Paul. Mn.-Wi. MSA. ...
(Includes Anoka, Carver, Chisago.
Dakota, Hennepin, Isanti. Ramsey,
Scott, Sherburne, and Wnght Counties.
Mn,, and Pierce and St. Croix
Counties. Wi.)
City of
Minneapolis Mn
St, Paul Mn
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Modesto, Ca. MSA
(Includes Stanislaus County.)
City of Modesto
Total area actually teporting
Rate per 100.000 inhabitants
Moaroe. La. M.SA
(Includes Ouachita Pansh.)
City of Monroe
Total area actually reporting
Rate per 100,000 inhabitants
Moatgomery, AL MSA
(Includes Autauga. Elmore and
Montgomery Counties.)
City of Montgomery
Total area artually reporting
Estimated total
Rate per 100,000 inhabitants
Myrtle Beach, S.C. MSA.
(Includes Horry County)
City of Myrtle Beach
Total area actually repotting
Estimated total
Rale per 100.000 inhabitants
Naples, R MSA.
(Includes Collier County.)
City of Naples
Total area actually reporting
Rate per 100,000 inhabitants
Nasbai, N.H. M.S.A
(Includes part of Hillsborough County.)
City of Nashua
Total area actually reporting
Rate per 100,000 inhabitants
1.036313
628.865
61,935
75,3%
67,648
100,0%
74.052
7,145.7
185,030
58.305
4.469
100,0%
9,569
5.171,6
,019,426
373.791
65,369
100.0%
249,125
12.336,4
1,456.232
643.017
58,299
100.0%
2,600,929
301,633
55,742
2,014
84.602
5.809,7
377,345
41.898
278,762
21.398
99,3%
144.441
100,0%
145.295
5.586.3
384,293
170,856
11,758
100,0%
25,791
6.711.3
144,445
55,780
7.277
100.0%
10.852
7,512,9
191.522
12,451
99,7%
17,087
100,0%
17.147
5.684,7
148,849
25,676
4,311
99.6%
12,385
100.0%
12,427
8,348,7
158.565
20,334
1.484
100.0%
9,387
5.920.0
159,026
79.786
2,648
100,0%
4,392
2,761.8
9,764
10,372
11,015
1.062,9
289
798
431,3
13.945
41.135
2.037.0
6.322
123
7.517
516,2
6.199
2.619
12.396
12,432
478,0
1.145
3,213
836,1
1,209
1,509
1.044.7
1,485
2,374
2,382
789.7
314
1,204
1,209
812.2
126
1.276
804.7
93
178
1 1 1.9
52,171
57,276
63,037
6,082.8
4,180
8.771
4.740.3
51.424
207.990
10.299.5
49.420
1,891
77.085
5,293.5
35,699
18,779
132,045
132,863
5,108,3
10.613
22.578
5,875.2
6.068
9,343
6.468.2
10.966
14.713
14,765
4,895.0
3,997
11.181
11.218
7,536,5
1,358
8.111
5,115.3
2,555
4,214
2,649.9
176
186
201
19.4
128
344
17.0
146
3
159
10.9
60
33
113
113
4.3
17
39
10.1
18
26
18,0
32
41
41
13.6
3
16
16
10.7
1
7
4.4
2
4
2.5
688
737
858
82.8
35
92
49.7
272
1.095
54.2
514
II
623
42.8
600
237
1.387
1.391
53.5
74
190
49,4
40
58
40,2
120
151
151
50.1
23
78
78
52.4
5
139
87,7
37
69
43,4
5,341
5,514
5,591
539.5
91
177
95.7
7,065
18,225
902.5
4,334
33
4,753
326.4
3,075
835
4,683
4,691
180.4
351
647
168.4
135
165
114.2
537
632
634
210.2
89
228
229
153.8
28
237
149.5
37
47
29.6
3,559
3,935
4,365
421.2
160
518
280,0
6,480
21,471
1,063.2
1.328
76
1,982
136.1
2,464
1,514
6,213
6,237
239.8
703
2,337
608.1
1.016
1,260
872,3
796
1,550
1,556
515.9
199
882
886
595,2
92
893
563,2
17
58
36.5
16,284
17,375
19,775
1,908.2
973
2,457
1,327.9
12,081
47,429
2,348.6
8.742
268
12,687
871.2
9.307
4,661
27,215
27,348
1,051.5
2.292
6,063
1,577,7
1,307
2,449
1,695.5
3,550
4,765
4,777
1,5837
974
3,102
3,110
2,089,4
272
2,484
1,566.5
417
778
489.2
22,673
26,196
29,108
2,811
5,557
3,003,3
30,633
124,648
6,172,4
26,437
1.500
48,301
3,316,8
21,223
11,732
92,376
93,010
3,576.0
7,135
14,169
3.687.0
4,406
6,379
4.416.2
6,233
8,573
8,609
2,854.1
2,814
7,447
7,474
5,021.2
1,014
5,010
3,159.6
1.852
3.085
1,939.9
13,214
13,705
14,154
1,365.8
396
757
409.1
8.710
35,913
1,778.4
14,241
123
16.097
1,105,4
5,169
2,386
12.454
12,505
480.
1.186
2,346
610.5
355
515
356.5
1.183
1,375
1,379
457.2
209
632
634
425,9
72
617
389.1
286
351
220.7
See footnotes at end of table.
95
Table 6.— Index of Crime, Metropolitan
Statistical
Areas,
992— Continued
Metropolilar Slalislical Area
Population
Crime
Index
lolal
Modified
Crime
Index
total'
Violent
crime-
Property
crime^
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Bursary
Larceny-
then
Motor
vehicle
theft
Arson'
slaughter
Nishvilk, To, M,S.A
1,014,815
(Includes Cheatham, Davidson. Dickson.
Robertson. Rutherford. Sumner.
Williamson and Wilson Counties.)
City of Nashville
514,771
49.864
8,382
41.482
90
498
2.668
5.126
10,238
26,106
5,138
Total area actually reporting
83.3%
64.800
10,026
54.774
106
698
2.846
6.376
13,259
35,710
5.805
Estimated total
100.0%
69.771
6,875.2
10.564
1.041.0
59.207
5,834,3
114
11.2
753
74.2
2.903
286.1
6,794
669.5
14.792
1.457.6
38,305
3,774.6
6.110
602.1
Rale per 100,000 inhabitants
New Haven-Meriden, Cl. M5.A
561,661
(Includes pan of Middlesex and New
Haven Counties.)
City of:
New Haven
130,229
59,367
100.0%
17,483
2,850
35,655
3.233
198
4,060
14,250
2.652
31,595
30
131
9
202
1,227
85
1,546
1.845
104
2.273
3,672
691
7,349
7.852
1.705
19.619
2.726
256
4.627
Meriden
Total area actually reporting
39
Rate per 100.000 inhabitants
6.348.1
722.9
5.625.3
6.9
36.0
275.3
404.7
1,308.4
3.493.0
823.8
Ne« London-Norwich, Cl.-R.I. M,S.A
306,916
(Includes pan of Middlesex, New
London and Wmdham Counties, Ct.,
and Washmgton County, R.I.)
Cily of
New London Cl
28,486
37,321
1,893
1,561
239
157
1.654
1.404
13
28
77
43
149
86
493
322
1.032
I.OII
129
71
Norwich Ct
Total area actually reporting
100.0%
9,483
894
8.589
2
88
180
624
2.037
5.974
578
Rale per 100,000 inhabitants
1,258,657
3.089.8
291.3
2,798.5
.7
28.7
58.6
203.3
663.7
1.946.5
188.3
New Orleans, La. M.S.A
(Includes Jefferson, Orleans.
Plaquemines, St. Bernard, St. Charles,
St. James. St. John the Baptist and
St. Tammany Parishes.)
City of New Orleans
505,008
50,441
10,007
40,434
279
287
5,341
4,100
10.967
20.343
9.124
Total area actually reporting
88.8%
99.189
15,761
83,428
343
575
6.946
7,897
20.242
48.811
14.375
Estimated total
100.0%
107.148
8.512.9
16,698
1,326.7
90,450
7,186.2
356
28.3
629
50.0
7,153
568.3
8,560
680.1
21.912
1,740.9
53,486
4,249,5
15.052
1.195.9
Rate per 100.000 inhabitants
New York-Newark, N.Y.-NJ.-P«.
M.S.A
17,061,687
(Includes Bronx. Kings. Nassau, New
York. Putnam. Queens, Richmond.
Rockland. Suffolk, and Westchester
Counties, NY.; Bergen. Essex. Hudson.
Hunterdon, Middlesex, Monmouth,
Morris. Ocean, Passaic. Somerset,
Sussex, Union, and Warren Counties,
N.J.; and Pike County. Pa.)
City of
New York, N.Y
7,375.097
626.182
159.578
466,604
1.995
2.815
91,239
63,529
103,476
236,169
126.959
Newark. N.J
277,544
40.588
9.715
30,873
87
313
5,389
3,926
6,121
10,822
13.930
Total area actually reporting
99.7%
1.056.290
211,129
845,161
2.401
4.779
116,862
87,087
184,895
459,044
201,222
Estimated total
100.0%
1,057.929
6,200.6
211,280
1,238.3
846,649
4.962.3
2.403
14.1
4.786
28.1
116,921
685.3
87,170
510.9
185,201
1,085.5
460,056
2,696.4
201,392
1,180.4
Rate per 100,000 inhabitants
Norfolk-Virginia Beach-
Newport News, Va.-N.C. M.S.A
1,487,600
(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
Cumluck County. N.C.)
City of
Norfolk Va
269,347
405,116
175.256
22,643
21,132
12,516
2.707
1.155
1.943
19,936
19,977
10,573
79
23
33
260
153
115
1.215
612
648
1,153
367
1,147
3.787
3,709
2,237
13.967
15,108
7,489
2,182
1.160
847
Virginia Beach Va
Newport News Va
Total area actually reporting
100.0%
91,776
9.488
82,288
212
781
4.033
4,462
15,469
59,488
7.331
Rate per 100.000 inhabitants
2,160.350
6.169.4
637.8
5,531.6
14,3
52.5
271.1
299.9
1,039.9
3,998.9
492.8
Oakland, Ca. M,S.A. M,S.A
(Includes Alameda and Contra Costa
Counties.)
City of Oakland
386.086
48,086
10,140
37,946
165
418
4,610
4,947
8,870
21,310
7,766
Total area actually reporting
100.0%
1 59,084
24.010
135,074
300
980
9,782
12,948
30,256
86,172
18.646
Rate per 100.000 inhabitants
203,112
7,363.8
1.111.4
6,252.4
13.9
45.4
452.8
599.3
1,400,5
3.988.8
863.1
Ocala, a MSA. M.S.A
(Includes Marion County.)
City of Ocala
43,831
100.0%
6,608
13,728
856
2,354
5.752
11.374
6
25
29
119
344
516
477
1.694
1,311
3.573
4.147
7.145
294
656
Total area actually reporting
Rate per 100.000 inhabitants
6,758.8
1,159.0
5,599.9
12.3
58.6
254.0
834.0
1.759,1
3,517,8
323.0
See foolnoies at end of table.
96
T«ble 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Mclropolilan Suiistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
cnme-
Properly
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
(Mcsn-MidUiHl, T\. M^j^
(Includes Ector and Midland Counties.)
City of;
Odessa
MidUnd
Total area actually reporting
Rale per 100.000 inhabitants
OUihonu 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
Olynpii. Wi. MSA
(Includes Thurston County.)
City of Olympia
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Orange County, Ca. MSA
(Includes Orange County.)
Total area actually reporting
Rate per 100.000 inhabitants
Orange Coanty, N.Y. MSA
(Includes Orange County.)
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
OrUndo, a MSA
(Includes Lake. Orange. Osceola and
Seminole Counties.)
City of Orlando
Total area actually reporting
Rate per 100.000 inhabitants
Oveuboro, Ky. MSA
(Includes Daviess County.)
City of Owensboro
Total area actually reporting
Rate per 100.000 inhabitants
Pinuu City, Fl. MSA
(Includes Bay County.)
City of Panama City
Total area actually reporting
Rate per 100.000 inhabitants
Pirker^barg-Miriem, W.V.-Oh. MSA.
(Includes Wood County, W.V..
and Washington County, Oh.)
City of:
Parkersburg, W.V
Manetta. Oh
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Pensacoli. R. M,SA
(Includes Escambia and Santa Rosa
Counties.)
City of Pensacola
Total area actually reporting
Rate per 100,000 inhabiunts
Pearii-Pekin, M. MSA.'
(Includes Peona, Tazewell and
Woodford Counties.)
City of:
Peona*
Pekin'
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
234,431
93,234
92,967
100.0%
979.343
454,255
100.0%
170,155
35,712
98.6%
100.0%
U00,18l
100.0%
309,812
96.5%
100.0%
1,276,893
171,694
100.0%
88,836
54,561
100.0%
I32J86
35,839
100.0%
151,028
34,210
15,259
98.6%
100.0%
359,043
60,637
100.0%
345,090
115,492
32,819
99.1%
100.0%
10.458
5,602
18.485
7,885.0
50,772
76,750
7,836.9
2,608
7,547
7,721
4,537.6
140,736
5,629.0
10,341
10,762
3,473.7
20,433
98,565
7,719.1
2,610
3,233
3,639.3
3,834
10,081
7,614.9
1,421
834
4,224
4,310
2,8538
5,156
23,452
6,531.8
873
451
1,451
618.9
6,358
8,178
835.0
141
453
464
272.7
13,555
542.2
1,231
1,275
411.5
3,232
13,803
1.081.0
124
215
242.0
480
1,196
903.4
80
30
306
313
207.2
892
4,320
1,203.2
9,585
5,151
17,034
7,266.1
44,414
68,572
7,001.8
2,467
7,094
7,257
4,264.9
127,181
5.086.9
9,110
9,487
3,062.2
17,201
84,762
6,638.1
9
3
21
9.0
61
80
8.2
4,7
173
6.9
2,486
3,018
3,397.3
3,354
8,885
6,711.4
3
8
6.0
1,341
804
4
3,918
3.997
2,646.5
6
6
4.0
4,264
19,132
5,328.6
8
25
7.0
9,964
1,558
13
15,421
15,565
4,510.4
15
15
4,3
147
62.7
472
650
66.4
24
122
124
72.9
631
25.2
68
70
22.6
140
678
53.1
15
17
19.1
29
104
78.6
12
6
47
48
31.8
46
228
63.5
178
99
297
126.7
1.836
2,223
227.0
30
68
71
41.7
5,775
231.0
282
299
96.5
3,222
645
269
986
420.6
3,989
5,225
533.5
85
255
261
153.4
6,976
279.0
893
288.2
2,271
9,837
252.3
770.4
36
73
40
158
45.0
177.9
83
365
133
951
100.5
718.4
16
48
8
16
31
222
33
226
21.9
149.6
204
634
815
3,252
227.0
905.7
588
1,200
10
94
637
1,473
641
1,480
185.7
428.9
2,327
1,317
4,373
1,865.4
11.249
17,327
1,769.2
321
1,439
1,465
861.0
30,185
1,207.3
1,984
2,054
6630
4,497
24,149
1,891.2
498
708
797.0
631
1,993
1,505.4
1,439
5,996
1,670.0
6,735
3.481
11,677
4,981,0
27,214
43,323
4,4237
2,021
5,268
5,393
3,169.5
75,872
3,034.7
6,695
6,970
2.249.8
10.816
52.509
4,112.2
1,855
2,154
2,424.7
2,516
6,402
4.835.9
314
939
100
676
818
2,907
831
2.966
550.2
1.963,9
2,646
12,147
3,3832
2,765
6,572
373
1,139
4,226
10,388
4,253
10,491
1,232.4
3,040.1
523
353
984
419.7
5,951
7,922
808.9
125
387
399
234.5
21,124
844.9
431
463
149.4
I,
8.104
634.7
133
156
175.6
207
490
370.1
28
193
200
132.4
179
989
275.5
627
46
807
821
237.9
Sec footnotes at end of table.
97
Table 6.— Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Melropolilan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Phibdtlpbia, P«.-NJ. MSA
(Includes Bucks, Chester, Delaware.
Montgomery and Philadelphia Counties,
Pa„ and Burlington, Camden,
Gloucester and Salem Counties, N,J.)
City of Philadelphia Pa
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Phoenix-Mesa, Az. MS.A
(Includes Maricopa and Pinal Counties.)
City of:
Phoenix
Mesa
Total area actually repotting
Estimated total
Rate per 100,000 inhabiunts
Pine Bluff, Ar. M.S.A
(Includes Jefferson County.)
City of Pine Bluff
Total area actually reporting
Rate per 100.000 inhabitants
Pimburgh, P«. M5.A
(Includes Allegheny, Beaver, Butler,
Payette and Westmoreland Counties.)
City of Pittsburgh
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Pittsfield, Ma. M.S.A
(Includes part of Berkshire County.)
City of Pittsfield
Total area actually reporting
Btimated total
Rate per 100.000 inhabitants
Portland, Me. M.Sj^
(Includes part of Cumberland and York
Counties.)
City of Portland
Total area actually repoitlng
Rate per 100.000 inhabitants
Portland- Vancoaver, Or.-Wa. M5.A
(Includes Clackamas. Columbia,
Multnomah, Washington and Yamhill
Counties, Or. and Clark County. Wa.)
City of;
Portland, Or
Vancouver, Wa
Total area actually reporting
Rate per 100.000 inhabitants
Pn»idenc«-Fall River-Warwick, R.I.-Ma.
M5.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. MSA
(Includes Utah County.)
City of
Provo
Orem
Total area actually reporting
Rate per lOO.OOO inhabitants
4,972,026
1,603,638
99.8%
100.0%
2,340,390
2,427,233
233,596
62.460
100.0%
1,591,835
458,132
48.945
100.0%
960.912
277 J68
91.377
71,095
100.0%
97.359
220,533
220,860
4,442.1
999.900
92.213
301.200
21,163
99.7%
174,147
100.0%
174,701
7,464.6
»7,241
58,313
4.245
100.0%
4.976
5.703.7
373,842
30,694
95.8%
76,760
100.0%
79,657
3,281.8
99,614
48.472
1.944
88.4%
2.597
100.0%
3.013
3,024.7
7.077
13.025
5.575.9
51.613
3.229
101.926
6.403.1
161,010
15.461
92,418
5.548
85,557
4.157
95.3%
42.597
100.0%
44.222
4.602.1
19,067
33,435
33.466
673.1
10,907
2,054
17.507
17,551
749.9
750
807
925.0
4,495
9,665
9,944
409.7
246
340
392
393.5
461
634
271.4
8,389
434
11.638
731.1
3.816
3.121
11.760
4.239.9
1.342
681
455
3.639
3,845
400.1
129
47
363
130.9
78,292
187.098
187.394
3.769.0
81.306
19.109
156,640
157,150
6,714.7
3.495
4.169
4.778.7
26.199
67.095
69.713
2.872.1
1.698
2.257
2.621
2.631.2
6.616
12.391
5,304.5
43.224
2,795
90,288
5.671.9
14.119
4.867
3.702
38.958
40.377
4.201.9
3.687
3.074
11,397
4,109.0
425
546
546
11.0
136
9
207
207
19
19
21.8
44
102
104
4.3
2
5
5
5.0
6
7
3.0
46
74
4.6
35
36
3.7
781
1.669
1.671
33.6
476
119
973
976
41.7
67
80
91.7
221
693
710
29.3
23
27
29
29.1
53
85
36.4
490
41
982
61.7
3
I.I
116
72
25
297
306
31.8
42
11
89
32.1
11.681
16,380
16,387
329.6
3.140
295
4.324
4,332
185.1
194
203
232,7
2,989
4,282
4,348
179.1
29
31
38
38.1
99
124
53.1
2,686
90
3.621
227.5
606
141
25
912
940
97.8
27
6
46
16.6
6.180
14.840
14.862
298.9
7.155
1.631
12.003
12.036
514.3
470
505
578.9
1.241
4,588
4,782
197.0
192
277
320
321,2
303
418
178.9
5.167
303
6,961
437,3
601
465
405
2.395
2.563
266.7
59
30
225
81 I
16,199
38,945
38,995
784.3
20.317
4,461
36.980
37.087
1,584.7
1,488
1,770
2,028.9
5.201
14.429
14,871
612.7
643
796
885
S88.4
1.713
2.897
1.240.2
8.761
596
19,229
1,208.0
4.167
1.254
604
9.786
10.131
1.054.3
542
367
1.629
587.3
39,677
1 10.424
1 10,636
2.225.2
46,006
12,139
96,261
96,610
4,127.9
1,554
1,894
2,171.0
12.874
37,517
39,393
1.623.0
937
1,316
1.534
1.539.9
4,515
8,880
3,801.4
26,562
1.917
58,666
3,685.4
6,296
2,787
2,393
21,811
22,662
2,358.4
3,000
2,622
9,418
3,395.5
22,416
37,729
37,763
759.5
14.983
2.509
23.399
23,453
1,002.1
453
505
578.9
8.124
15.149
15,449
636.5
118
145
202
202.8
388
614
262.8
7.901
282
12,393
778.5
3.656
826
705
7,361
7,584
789.3
145
85
350
126.2
See footnotes at end of table
98
Table 6.— Index of Crime, Metropolitan Statistical Areas, 1992— Continued
Mclropoliun Statistical Area
P»Mo. Co. MSA
(Includes Pueblo County.l
City of Pueblo
Total area actually repotting
Rate per 100.000 inhabitants
RkIk. Wi. M5.A
(Includes Racine County.)
City of Racine
Total area actually repotting
Rate per 100.000 inhabitants
Rikigli-DwhiiiHChtpel HilL N.C.
MSA
(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. MSA
(Includes Pennington County.)
City of Rapid City
Total area actually reporting
Rate per lOO.OOO inhabitants
Reading. Pa. M.Sj^
(Includes Berks County.)
City of Reading
Toul area actually reporting
Estimated total
Rate per 100.000 mhabitants
Redding. Ca. M5A
(Includes Shasta County.)
City of Redding
Total area actually repotting
Rate per 100.000 inhabitants
Reno, Nv. M.SA
(Includes Washoe County.)
City of Reno
Total area actually reporting
Rate per 100,000 Inhabitants
UchliDd-KeiKwick-Pasco, Wi. M,S,A. .,
(Includes Benton and Ftanklin
Counties.)
City of:
Richland
Kennewick
Pasco
Total area actually repotting
Rale per 100.00 inhabitants
Richraoid-Petersbiirg. Vt. MSA
(Includes Colonial Heights. Hopewell,
Petersburg and Richmond Cities; and
Charles City, Chesterfield, Dinwiddle,
Goochland, Hanover, Henrico, New
Kent, Powhaun and Prince George
Counties.)
City of:
Richmond
Petersburg
Total area actually reporting
Rale per 100,000 inhabitants
Rirenide-Su BemtrdlDO. Ca. MSA
(Includes Riverside and San Bernardino
Counties.)
City of:
Riverside
San Bernardino
Toul area actually reporting
Rate per 100.000 inhabitants
Population
129,722
99,990
100.0%
179.150
86.282
100.0%
882,596
158,329
34,102
44,487
21,462
100.0%
892,158
Crime
Indei
total
209,279
39,501
100,0%
2,671,120
234,929
170,269
100.0%
7.096
7,997
6,164.7
6.769
9,869
5,508.8
214,674
16,237
141,028
15,210
39,971
3,201
99.7%
57,810
100.0%
58,068
6,579.2
83.145
55,696
3,862
100.0%
4,762
5,727.3
340,092
79,219
6,498
98.8%
12,115
100.0%
12,227
3.595.2
152,501
68.933
4.298
100.0%
7,352
4,821.0
281,188
147,790
11,766
100.0%
17,879
6,358.4
1,314
3,373
2,151
8,533
5,389,4
Modified
Cnme
Index
total'
22,246
3,586
51,689
5,793.7
20.094
22.783
199,140
7,455.3
Violent
crime-
1,541
1,601
1,234.2
796
902
503.5
2,171
1,791
365
6,122
6,151
696.9
297
405
487.1
923
1,381
1,392
409.3
452
792
519.3
1,038
1,618
575.4
68
153
234
661
417.5
Property
crime'
3,110
525
5,073
568.6
3,493
5,796
30,310
1,134.7
5.555
6.396
4,930.5
5,973
8,967
5,005.3
14.066
13,419
2,836
51,688
51,917
5,882,3
3,565
4,357
5,240.2
5,575
10,734
10,835
3,185.9
3,846
6,560
4,301.6
10,728
16.261
5,783.0
1,246
3,220
1,917
7,872
4,971.9
19.136
3,061
46,616
5,225.1
16.601
16,987
168,830
6,320.6
Murder
and non-
negligent
man-
slaughter
9
9
6.9
9
12
6.7
80
9.1
Forcible
rape
2
6
3.8
117
9
149
16.7
23
75
359
13.4
94
72.5
24
40
22.3
120
111
38
393
394
44.6
50
114
137.1
62
97
98
28.8
66
99
64.9
130
222
79.0
17
31
29
126
79.6
Robbery
178
40
379
42.5
130
138
1,245
46.6
142
148
114.1
345
379
211.6
887
828
86
2,183
2,192
248.4
45
50
60.1
541
597
600
176.4
82
114
74.8
413
542
192.8
6
24
40
81
51.2
Aggra-
vated
assault
1,459
210
2,206
247.3
1,167
1,835
8,921
334.0
1.302
1.350
1,040.7
418
471
262.9
1,145
821
241
3,466
3,485
394.9
201
241
289.9
312
676
683
200.8
301
570
373.8
482
834
296.6
45
98
163
448
283.0
Burglary
1,356
266
2,339
262.2
2.173
3,748
19,785
740.7
1.352
1.542
1,188.7
1,341
1,932
1,078.4
3,775
5,124
752
16,745
16,806
1,904.2
537
657
790.2
1,495
2,507
2,524
742.2
1.026
1,868
1,224.9
1,852
3,171
1,127.7
193
413
340
1,382
872.9
Larceny-
theft
4,677
1,006
10,004
1,121.3
4,398
5,075
52,286
1,957.5
3,902
4,514
3,479.7
3,913
6,142
3,428.4
9,343
7,397
1,978
31,980
32,137
3,641.2
2,887
3,524
4,238.4
3.531
7,408
7,480
2,199.4
2,591
4,238
2,779.0
8,301
12,208
4,341.6
1,018
2,671
1,428
6,092
3,847.7
Motor
vehicle
theft
12.046
1,818
32,751
3,671.0
8,700
8,572
87,689
3,282.9
301
340
262.1
719
893
498.5
948
898
106
2,963
2,974
337.0
141
176
211.7
549
819
831
244.3
229
454
297.7
575
882
313.7
35
136
149
398
251.4
2.413
237
3,861
432.8
3,503
3,340
28,855
1,080.3
See footnotes at end of table.
99
Table 6.— Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Roanoke, V«. MSA
(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
Rale per 100,000 inhabitants
Rochester, N.Y. MSA
(Includes Genesee, Livingston, Monroe,
Ontario, Orleans, and Wayne
Counties.)
Cily of Rochester
Total area actually reporting
Rate per 100.000 inhabitants
Rockford. IL M,SA.'
(Includes Boone, Ogle and Winnebago
Counties.)
City of Rockford'
Total area actually reporting
Rate per 100,000 inhabitants
Rocky Mount, N.C. M.S.A
(Includes Edgecombe and Nash
Counlies.)
City of Rocky Mount
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Sacramento, Ca. M.S.A
(Includes El Dorado. Placer and
Sacramento Counties.)
City of Sacramento
Total area actually reporting
Rate per 100.000 inhabitants
Saginaw-Bay City-Midland. Mi. M.S.A. ..
(Includes Bay. Midland and Saginaw
Counties.)
City of:
Saginaw
Bay City
Midland
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
St. Clood, Mn. MSA
(Includes Benton and Steams
Counties.)
City of St. Ooud
Total area actually reporting
Rale per 100.000 inhabitants
SI. Jo«ph, Mo. M.S.A
(Includes Andrew and Buchanan
Counties.)
City of St. Joseph
Total area aauaily reporting
Rate per 100.000 inhabitants
SI. Louis, Mo.-ll. M.S.A
(Includes St. Louis City
and Franklin. Jefferson. Lincoln,
St. Charles. St. Louis and
Warren Counties. Mo.; and Jersey.
Madison. Monroe, and St. Clair
Counties. II.)
City of St. Louis Mo
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
231,351
99,351
100.0%
109,020
72,441
100.0%
1,070,013
233,289
100.0%
335,433
141,868
100.0%
138.023
50,579
97.8%
100.0%
1,389,836
383,102
100.0%
405,376
70.571
39,529
38,630
98.7%
100.0%
152,536
49,980
100.0%
99.160
72,917
100.0%
2,542,160
7,585
11,133
4,812.2
3.509
4.191
3.844.2
27,486
54,822
5,123.5
5,330
9,019
9,291
6,731.5
38.374
96,674
6,955.8
7,557
1.995
1,115
20,789
21,067
5,196.9
2.949
4,690
3,0747
4,397
4,792
4,832.6
592
767
331.5
138
158
144.9
2.522
3,686
344.5
634
993
1,024
741.9
4,674
10,923
785.9
2,082
212
57
3,302
3,329
821.2
137
203
133.1
361
421
424.6
6,993
10,366
4,480.6
3,371
4,033
3,699.3
24,964
51,136
4,779.0
13.638
20.713
6,175.0
4,696
8,026
8,267
5,989.6
33,700
85,751
6,169.9
5,475
1,783
1,058
17,487
17,738
4,375.7
2,812
4,487
2,941.6
4,036
4,371
4,408.0
9
15
6.5
49
61
5.7
12
14
4.2
5
19
19
13.8
45
101
7.3
20
1
I
37
37
9.1
46
61
26.4
15
15
13.8
170
292
27,3
237
629
45.3
172
34
14
375
378
93.2
17
43
28.2
23
26
26.2
228
250
108.1
31
32
29.4
1,524
1,814
169.5
684
764
227.8
213
307
316
228.9
2.322
4,088
294.1
493
45
4
661
667
164.5
23
26
17.0
48
56
56.5
309
441
190.6
90
109
100.0
779
1.519
142.0
1.037
1.242
370.3
381
614
634
459.3
2,070
6,105
439.3
1.397
132
38
2,229
2,247
554.3
95
132
86.5
288
337
339.9
1.288
1,852
800.5
743
1.002
919.1
6,915
11,304
1,056.4
4,251
5,908
1,761.3
1,307
2,501
2,565
1,858.4
7,305
21,380
1,538.3
1,930
361
85
4,066
4,107
1,013.1
379
709
464.8
880
958
966.1
5,354
8,060
3,483.9
2,468
2,833
2,598.6
15.288
35.699
3,336.3
8,164
13,277
3,958.2
3,149
5,113
5,278
3,824.0
18.216
47,761
3,436.4
3,268
1,319
947
12,404
12,588
3,105.3
2,225
3,477
2,279.5
2,943
3,189
3,216.0
351
454
196.2
160
198
181.6
2,761
4,133
386.3
1,223
1,528
455.5
240
412
424
307.2
8,179
16,610
1,195.1
277
103
26
1,017
1,043
257.3
208
301
197.3
213
224
225.9
402,573
96.6%
100.0%
59.579
146.616
150.190
5.908.0
13,247
25,230
25,507
1,003.4
46,332
121,386
124,683
4,904.6
231
396
400
15.7
349
4,396
4,404
173.2
4,936
6,948
7,029
276.5
7,731
13,490
13,674
537.9
12,303
29,673
30,362
1,1943
25,600
76,636
78,949
3,105.6
8.429
15,077
15,372
604.7
S«e footnotes at end of table.
100
Table 6.— Index of Crime, Metropolitan StaCislical Areas, 1992 — Continued
Cnmc
Mctropolilan Statistical Area
Population
Index
total
240,60$
(Includes Manon and Polk Counties.)
Cilv of Salem
112,891
9.720
100.0%
18.125
Raff ner 100 000 inhabitants ....
6,237.0
<;aiiiiA«. r*. M s^
368,875
(Includes Monterey County.)
Citv of Salinas
112,822
8,470
100.0%
19,402
5.259.8
Sdt Ukt Cily-Ogdeo. Ul. M5.A
I,I28,4M
(Includes Davis, Salt Lake and Weber
Counties.)
City of:
Salt Lake Citv
168,304
20,345
Ogden
67,252
5.824
100.0%
75,309
6,673.9
Su AbhIo. Tx. MSA
102J37
(Includes Tom Green County.)
87,803
5,790
100.0%
6.356
6,210,9
*liB Anronio. Tx M.SjV
1,376,937
(Includes Bexar. Comal. Guadalupe
and Wilson Counties.)
972,824
109,134
100.0%
130,646
9,488,2
2,590,916
(Includes San Diego County.)
Citv of San Dieco
1,151,853
92,258
100,0%
171.143
6,605.5
Su Fnndsco. Ci MSA
1,663.297
(Includes Mann. San Francisco and
San Mateo Counties.)
750.885
76,551
100.0%
117,195
7,045.9
1,553,258
(Includes Sania Clara County.)
Citv of San Jose
811.342
39,802
100,0%
73,944
Rale oer 100 000 inhabitants
4.760.6
Suta Barbtn-SaoU Maria-Lompoc, Ca.
M3jV
383,348
(Includes Santa Barbara County.)
City of:
Santa Barbara
88,753
5.580
Santa Maria
63,562
4,713
39,049
1,978
100.0%
18,798
Rate per 100000 inhabitants
4,903.6
Suta Cnn-Watjomille, Ca. M5.A
238,272
(Includes Santa Cruz County.)
City of:
Santa Cruz
50,863
32,254
100.0%
4,252
2,491
14,003
Watsonville
Total area actually retx)rtina . . . .
5,876.9
SutaRou,Ca. M5.A
402,652
(Includes Sonoma County.)
117,527
7,224
100.0%
19.575
Rale per 100 000 inhabitants
4,861.5
510,282
(Includes Manatee and Sarasota
Counties.)
City of:
53.126
45.639
100,0%
8,188
4,772
38,168
Bradenton
Rate per 100,000 inhabitants
7,479.8
Modified
Cnmc
Index
total'
Violent
cnmc-
406
902
310,4
1.180
2,693
730.1
1,317
364
4.260
377.5
566
718
701,6
7,131
8,994
653.2
14,792
25,200
972.6
13,676
18,061
1,085.9
5,427
8.036
517.4
691
491
190
2,051
535,0
505
356
1,594
669,0
707
2,053
509,9
984
682
4,486
879.1
Property
crime'
9.314
17,223
5.926,6
7.290
16.709
4,529.7
19.028
5,460
71,049
6,296,4
5,224
5,638
5,509.2
102,003
121,652
8,835.0
77,466
145,943
5,632.9
62,875
99,134
5,960.1
34,375
65,908
4,243.2
Murder
and non-
negligent
man-
slaughter
7
20
6.9
219
254
146
245
9,5
117
183
11,0
43
68
4.4
Forcible
rape
4,889
4
4,222
5
1,788
1
16,747
16
4,368.6
4.2
3,747
1
2.135
12.409
6
5.207.9
2.5
6,517
2
17,522
6
4,351.6
1.5
7,204
9
4,090
4
33,682
29
6,600.7
5.7
83
155
53,3
54
121
32.8
187
45
616
54.6
67
74
72.3
616
732
53,2
485
957
36.9
395
636
38.2
448
659
42.4
35
35
14
144
37.6
28
14
89
37.4
86
210
52.2
47
31
214
41.9
Robbery
230
362
124.6
388
737
199.8
470
98
913
80.9
49
50
48.9
3,485
3,779
274.4
5.321
8,554
330.2
8,278
9,616
578.1
1,231
1.918
123.5
162
158
46
445
116.1
103
65
267
112.1
207
359
89.2
321
215
995
195.0
Aggra-
vated
assault
365
125.6
722
1,802
488.5
646
215
2.691
238.5
445
587
573.6
2,811
4,229
307.1
8.840
15.444
596.1
4.886
7,626
458.5
3,705
5,391
347.1
490
293
129
1,446
377.2
373
277
1,232
517.1
412
1,478
367.1
607
432
3,248
636.5
Burglary
1,609
3.151
1,084.3
1.473
3,938
1.067,6
3.394
862
11,834
1.048.7
1,215
1.318
1,287.9
21,967
27,033
1,963,3
16.437
34.389
1,327.3
11,831
18,413
1,107.0
6.776
12,513
805.6
1,270
926
382
4,535
1,183.0
759
405
2.801
1.175.5
1,391
4.566
1,134.0
2.044
1.315
10.161
1,991.3
Larceny-
theft
7,204
13,013
4,477.9
5,142
11,522
3,123,6
14,266
4,354
55,881
4,952.2
3,761
4,060
3,967.3
65,314
78,148
5,675.5
40.798
77,547
2,993.0
38,375
63,562
3,821.4
23,806
47,236
3,041.1
3,360
3,117
1,338
11,479
2,994.4
2,798
1,589
8,957
3,759.1
4.740
11,932
2,963.4
4,730
2,373
21,235
4,161.4
Motor
vehicle
Iheft
501
1,059
364.4
675
1,249
338.6
1.368
244
3,334
295.5
248
260
254.1
14,722
16,471
1,196.2
20.231
34.007
1,312.5
12,669
17,159
1,031,6
3,793
6,159
396.5
259
179
68
733
191.2
190
141
651
273.2
386
1,024
254.3
430
402
2,286
448.0
See footnotes at end of table.
101
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Savinnah, Ga. MSA
(Includes Bryan, Chatham and
Effingham Counties.)
City of Savannah
Total area actually reporting
Rate per 100.000 mhabilanis
Scraalon-Wilkes-Bure-Hazletoii, Pi.
MSA
(Includes Columbia. Lackawanna.
Luzerne, and Wyommg Counties.)
City of:
Scranton
Wilkes-Barre
Hazleton
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Seittle-Bellenw-Everett, Wa. MSA. ...
(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
Rate per 100,000 inhabitants
Sheboygan, WL M.SA
(Includes Sheboygan County.)
City of Sheboygan
Total area actually reporting
Rate per 100,000 inhabitants
Shennao-Denisoo, Tx. MSA
(Includes Grayson County.)
City of
Sherman
Denison
Total area actually reporting
Rate per 100,000 inhabitants
Shreveport-Bossier City. La. MS.\
(Includes Bossier, Caddo and Webster
Parishes.)
City of
Shreveport
Bossier City
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Sloiix Falls, S.D. MSA
(Includes Lincoln and Minnehaha
Counties.)
City of Sioux Falls
Total area actually reporting
Rale per 100,000 inhabitants
South Bend. In. M5.A
(Includes St. Joseph County.)
City of South Bend
Total area actually reporting
Rale per 100.000 inhabitants
Spokane, Wa. MSA
(Includes Spokane County.)
City of Spokane
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
26S,912
143,352
100.0%
645,218
2,052,699
98,762
32,846
22,351
100.0%
382,299
201,676
53,558
94.9%
100.0%
143,795
13.486
19.374
7,204.6
82.681
2.867
48,031
1.862
24.994
617
80.2%
12,598
100.0%
16,242
2,517.3
544,940
65,400
91,680
4,978
73,832
5,569
99.8%
139,141
100.0%
139.386
6,790.4
122,282
17.679
658
100.0%
3,075
2,514.7
106,320
50,845
3,037
100.0%
4,322
4,065.1
2,596
2,081
5,841
5,914.2
21,325
3.680
27,981
29,420
7,695.5
103,044
4,596
100.0%
5.260
3,658.0
252.302
107,753
10.628
100.0%
16.116
6,387.6
38U58
187,002
15.762
98.4%
23.494
100.0%
23.911
6,270.0
1.494
1.835
682.4
245
123
54
1.457
1.809
280.4
7,327
187
341
11.803
11,818
575.7
60
378
309.1
87
119
111.9
193
200
441
446.5
2.515
490
3,366
3,558
930.7
431
484
336.6
1,077
1,356
537.5
1,570
1,892
1,916
502.4
11,992
17,539
6,522.2
2.622
1.739
563
11.141
14,433
2,236.9
58.073
4.791
5.228
127,338
127.568
6,214.6
598
2.697
2.205.6
2.950
4,203
3,953.2
2.403
1.881
5.400
5,467.7
18.810
3,190
24.615
25.862
6.764.9
4.165
4.776
3.321,4
9.551
14.760
5.850.1
14.192
21.602
21.995
5.767.5
23
28
10.4
1
1
2
13
16
2.5
60
1
1
100
100
4.9
2
2
6
61
47
4
64
66
17.3
18
24
9.5
12
21
21
5.5
79
102
37.9
35
13
5
123
145
22.5
353
21
88
1.319
1.322
64.4
2
27
22.1
38
19
64
64.8
136
26
207
216
56.5
97
106
73.7
130
161
63.8
92
144
148
38.8
892
987
367.0
80
64
8
219
302
46.8
2.577
64
136
3.863
3.867
188.4
13
43
35.2
17
21
19.8
63
28
100
101.3
756
79
873
911
238.3
34
34
23.6
453
511
202.5
374
450
456
119.6
500
718
267.0
129
45
39
1.102
1.346
208.6
4.337
101
116
6.521
6.529
318.1
44
307
251.1
55
77
72.4
90
151
271
274.4
1,576
381
2,222
2.365
618.6
300
344
239.2
476
660
261.6
1.092
1.277
1.291
338.5
3.176
4,527
1.683.5
532
333
168
2.525
3.081
477.5
9.250
707
870
22.510
22,547
1.098.4
106
551
450.6
356
571
537.1
516
324
1,242
1,257.6
4.278
511
5.670
5,912
1,546.4
621
839
583.5
3,154
4,239
1.680.1
2.791
4.670
4.733
1.241. 1
7,389
11,148
4,145.6
1,879
1,289
349
7,793
10,151
1,573.3
41.125
3,822
3,877
91,089
91,265
4,446.1
448
1.935
1.582.4
2.513
3.504
3.295.7
1.700
1.466
3.829
3,877.0
12,829
2.408
16,798
17,680
4,624.7
3.414
3,789
2,635.0
5,795
9.677
3.835.5
10.716
15.877
16.179
4,242.5
1,427
1,864
693.2
211
117
46
823
1.201
186.1
7.698
262
481
13,739
13,756
670.1
44
211
172.6
81
128
120.4
187
91
329
333.1
1,703
271
2.147
2.270
593.8
130
148
102.9
602
844
334.5
683
1,055
1,083
284.0
See footnotes at end of table.
102
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Melropoli(an Slatislical Area
Population
Cnmc
Index
(Dial
Modified
Cnme
Index
total'
Violent
cnmc-
Property
cnmc'
Murder
and non-
ncgligent
man-
slaughter
Forcible
rape
Robber>
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Sfrla|'>el<L "• M5j^.'
(Includes Menard and Sangamon
Counties.)
City of Springfield'
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
SfriiffitM. Mo. MSA
(Includes Christian, Greene and Webster
Counties.)
City of Spnngfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Spriigfleld. Ma. MSA
(Includes pan of Franklin, Hampden
and Hampshire Counties.)
City of Spnngfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Sdunfonl-Nornilk, Ct. M5.A
(Includes pan of Fairfield County.)
City of
Stamford
Norwalk
Total area actually reporting
Rate per 100,000 inhabitants
Slite College, Pa. MSJi.
(Includes Centre County.)
City of State College
Total area actually reponing
Rate per 100.000 inhabitants
SteibenviUe-Weirtoii, Oh.-W.V. M5A. .,
(Includes Jefferson County, Oh., and
Brooke and Hancock Counties, W.V.)
City of:
Steubenville, Oh
Weirton. W.V
Total area actually reporting
Rate per 100.000 inhabitants
SMcktoa-Lodi. C>. M,SjL
(Includes San Joaquin County.)
City of:
Stockton
Lodi
Total area actually reporting
Rate per 100,000 inhabiunts
SMiIef, S.C. MSA
(Includes Sumter County. S.C.)
City of Sumter
Total area actually reporting
Rate per 100.000 inhabitants
Syrecise, N.Y. MSA
(Includes Cayuga. Madison. Onondaga
and Oswego Counties.)
City of Syracuse
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Tacomi, Wa. MSA
(Includes Pierce County.)
City of Tacoma
Total area actually repelling
Estimated total
Rate per 100,000 inhabitants
Tallih«5s«t, R M5.A.
(Includes Gadsden and Leon Counties.)
City of Tallahassee
Total area actually reporting
Rate per 100.000 inhabitants
192,857
107,070
92.6%
100.0%
268,266
142,578
91.0%
100.0%
540,224
156,501
85.9%
100.0%
329,312
144,400
22.469
22,350
100.0%
498,497
747,819
10,916
12,910
13,565
5,056.5
17,352
32,273
35,015
6,481.6
107,854
5,970
78,184
4,517
100.0%
13,895
4.219.4
125,106
50,332
1,507
100.0%
3,829
3,060.6
1,187
541
2,847
1.971.6
218,787
23.761
53.802
3,825
100.0%
40,737
8.172,0
106,058
43,341
4.067
100.0%
7,432
7,007.5
165,029
11,838
99.9%
29,007
100.0%
29.037
3,882.9
619,402
186.440
19,991
99.5%
41.628
100.0%
41,846
6,755.9
243,524
130.077
19.300
100,0%
26,528
10,893.4
649
736
793
295.6
4,547
6,305
6,651
1,231.2
493
289
853
259.0
50
187
149.5
380
44
506
350.4
3.350
487
5,191
1,041.3
624
1,247
,175.8
1,512
2,296
2,299
307.4
3,425
5,710
5,722
923.8
2,596
3,920
1,6097
8,527
11
9,981
II
10,616
12
S.504,6
6.2
10,267
12,174
12,772
4,760.9
12.805
25,968
28,364
5,250.4
5,477
4,228
13.042
3,960.4
1,457
3,642
2,911.1
807
497
2,341
1,621,2
20,411
3,338
35,546
7,130.6
3,443
6,185
5,831.7
10,326
26,711
26,738
3,575.5
16,566
35,918
36,124
5.832.1
16,704
22,608
9,283.7
13
23
24
4.4
7
7
14
4.3
4
2.8
53
I
70
14.0
7
13
12.3
13
21
21
2.8
31
56
56
9.0
15
22
9.0
61
77
82
30.6
161
271
286
52.9
22
12
40
12.1
9
29
23.2
5
3
9
6.2
170
25
320
64.2
24
66
62.2
85
194
194
25.9
309
657
659
106.4
147
239
98.1
469
482
500
2593
165
176
184
68.6
823
1,140
1,187
219.7
241
137
411
1248
31
5
39
27.0
1,531
72
1,876
376.3
166
225
212.1
645
810
811
108.4
1.011
1,548
1,551
250,4
648
811
333,0
847
944
976
506.1
415
474
517
192.7
3,550
4,871
5,154
954.0
223
133
388
117.8
28
137
109.5
341
36
454
314.4
1,596
389
2,925
586.8
427
943
8891
769
1,271
1,273
170,2
2,074
3,449
3,456
558.0
1.786
2,848
1,1695
2,538
3,098
3,217
1,6681
1,961
2,508
2,673
996.4
3,839
6,956
7,539
1,395.5
1,037
1,851
3,579
1,086.8
221
586
468.4
164
122
644
446.0
4,617
748
9,125
1,830,5
822
1,914
1,804,7
3,023
6,314
6,319
845.0
3,430
7,749
7,782
1,256.4
4,446
6,449
2,6482
5,558
6,389
6,845
3,549,3
7,842
9,116
9,504
3,542,8
5,244
13,572
15,009
2,778.3
3,538
1,825
7.679
2,331.8
1,207
2,965
2,370.0
558
353
1,528
1.058.2
12,170
2,243
21,076
4,227.9
2,433
3,893
3,670,6
6,629
19,271
19,291
2,579,6
11,291
24,934
25,092
4.051,0
10,226
13,662
5,610.1
431
494
554
287.3
464
550
595
221.8
3,722
5,440
5,816
1,076.6
902
552
1,784
541.7
29
91
72.7
85
22
169
117.0
3,624
347
5,345
1,072.2
I
378
356.4
674
1,126
1.128
150.8
1,845
3,235
3,250
524.7
2,032
2,497
1,025.4
Sec footnotes at end of table.
103
Table 6.— Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Melropolilan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime-
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Timpa-Sl. 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
Rale per 100.000 inhabitants
Texarkaoa, Tx.-Texarluiaa, 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
Topeka, Ks. M.S.A
(Includes Shawnee County.)
City of Topeka
Total area actually reporting
Rale per 100.000 inhabitants
Trenlon, NJ. M.S.A
(Includes Mercer County.)
City of Trenton
Total area actually reporting
Rale per 100.000 inhabitants
Tucson, A2. M.S.A
(Includes Pima County.)
City of Tucson
Total area actually reporting
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
Rale per 100.000 inhabitants
ttica-Rome, N.Y. \IS.A
(Includes Herkimer and Oneida
Counties.)
City of:
Ulica
Rome
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Vallejo-Fairfield-Napa. Ca. MS.A
(Includes Napa and Solano Counties.)
City of:
Vallejo
Fairfield
Napa
Total area actually reporting
Rate per 100.000 inhabilanls
2,156,055
291,920
248,774
99,990
99.9%
100.0%
124,132
32,903
23,094
100.0%
623,M9
724,034
316,531
69,126
44,666
97.5%
100.0%
4*7,955
113,259
80,082
64,141
100.0%
46.131
25.781
8.507
171.105
171.193
7,940.1
3,146
2,937
7,710
6,211.1
338,126
29.463
99.8%
40.128
100.0%
40.178
6.442,2
163,921
122.079
12.225
100.0%
13,490
8,229,6
328,290
89.349
8,560
100.0%
18,323
5,581.3
697,220
423,836
44,133
100.0%
58,780
8,430.6
375,053
30,783
100.0%
42,494
5,869.0
154,032
79,594
8.832
100.0%
12.183
7.909.4
157,197
78,423
9.743
100.0%
12.664
8.056,1
4.452
1.030
10.296
10.602
3,349.4
9.651
5,832
3,563
27,889
5,959.8
9,864
5,762
1,128
27,336
27,346
1,268.3
457
346
1,013
816.1
3,158
3,699
3,702
593.6
1.627
1.720
1,049.3
1,727
2,159
657.7
4,327
5,247
752.6
5,008
5,914
816.8
1,201
1,622
1,053.0
961
1,235
785.6
289
46
690
722
228.1
1.872
772
374
4.119
880.2
36,267
20,019
7,379
143,769
143,847
6,671.8
2,689
2,591
6,697
5,395.1
26,305
36,429
36,476
5,848.6
10,598
11,770
7,180.3
6,833
16,164
4,923.7
39.806
53,533
7,678.1
25.775
36.580
5,052.2
7,631
10,561
6,856.4
8.782
11,429
7,270.5
4.163
984
9,606
9,880
3,121.3
7,779
5,060
3,189
23,770
5,079.5
49
31
2
157
157
7.3
7
3
16
12.9
43
48
48
7.7
12
7.3
16
17
5.2
42
60
8.6
33
43
5.9
5
11
7.0
13
3
2
30
6.4
303
195
56
1,207
1,207
56.0
20
23
77
62.0
368
438
438
70.2
82
90
54.9
114
146
44.5
386
481
69.0
368
454
62,7
75
93
60,4
111
140
89.1
33
3
72
73
23.1
76
45
27
225
48.1
2.999
1.792
223
6,822
6,825
316.6
132
104
259
208.6
1,515
1,655
1,656
265.5
369
380
231.8
652
843
256.8
970
1,171
168.0
1.344
1,474
203,6
274
322
209,0
256
277
176.2
160
23
208
221
69.8
686
232
50
1,171
250.2
6,513
3,744
847
19,150
19,157
888.5
298
216
661
532.5
1,232
1,558
1,560
250.1
1,168
1,238
755.2
945
1.153
351.2
2.929
3,535
507.0
3,263
3,943
544.6
844
1.195
775.8
589
807
513.4
91
20
405
423
133.6
1,097
492
295
2,693
575,5
10,005
5,804
1,766
37,863
37,882
1,757.0
656
547
1.687
1.359.0
6,116
7,871
7,879
1,263.3
3,627
4,076
2,486.6
1,784
3,233
984.8
6,815
9,474
1,358.8
8,051
11,283
1,558.3
1,585
2,317
1,504.2
1,985
2,680
1,704.9
907
200
2.167
2.218
700.7
2,029
875
644
5,679
1,213.6
18.923
12,408
5,129
88,854
88,905
4,123.5
1,897
1,941
4,675
3,766.2
16.060
23.840
23,875
3,828.2
6,523
7,220
4,404,6
2,972
9,280
2,826.8
28,629
38,329
5,497.4
12,936
19,442
2,685,2
5,665
7,681
4,986.6
5.795
7,588
4,827,1
2,969
738
7,021
7,221
2,281.3
4,731
3,743
2,344
15,820
3,380,7
7,339
1,807
484
17,052
17,060
791.3
136
103
335
269.9
4,129
4,718
4,722
757.1
448
474
289.2
2,077
3,651
1,112,1
4,362
5,730
821,1
4,788
5,855
808.7
381
563
365.5
1,002
1,161
738.6
287
46
418
441
139.3
1,019
442
201
2,271
485,3
See footnotes at end of table.
104
Table 6. — Index of Crime. Metropolitan
Slatistica
Areas,
1992— Continued
Mdropolilan Stalistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime-
Properly
crime'
Murder
and non-
negligcnl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Vrinn. C«. MS^
6M,8»0
(Includes Venlura Counly.)
City of Ventura
94,646
5.381
452
4,929
4
35
187
226
1.360
3.191
378
Total area actually reporting
100.0%
29.844
3,799
26,045
29
189
1.112
2,469
7.125
16.139
2.781
Rate per 100.000 inhabitants
4,.WI.0
547.5
3,753,5
4.2
27.2
160.3
355.8
1.026.8
2.325.9
400.8
Vktori*. Tx. MSA
77,290
(Includes Virtona County.)
City of Victona
57.246
5,229
689
4.540
5
25
132
527
1,329
2,910
301
Total ai^ actually reporting .....
100,0%
5.878
749
5.129
6
31
142
570
1,569
3,226
334
Rate per 100.000 inhabitants
7.605.1
969.1
6.636.0
7.8
40.1
183.7
737.5
2,030.0
4.173.9
432.1
VinckiMl-MillYille-Bridgetoii. ISJ.
MSA
139.100
(Includes Cumberiand County.)
City of:
Vineland
55,196
26,189
4.567
1.584
553
254
4.014
1.330
33
21
204
69
316
163
934
400
2,730
853
350
77
Millville
1
Bndgeton
19,086
1.775
345
1.430
2
16
85
242
469
887
74
Total area actually reporting
100.0%
9.048
1,302
7.746
6
87
381
828
2,216
4.948
582
Rale per 100.000 inhabitants
6,504.7
936.0
5,568.7
4.3
62.5
273,9
595.3
1,593,1
3.557.2
418.4
Visilii-Tiilin-Ponerrillt, Ct. MSA
323,513
(Includes Tulare County.)
City of:
Visalia
78,448
6,433
595
5,838
4
40
144
407
1,106
4,105
627
Tulare
34,485
3,228
499
2.729
4
21
97
377
926
1,578
225
Ponei^ille
30,661
2,619
191
2,428
2
21
36
132
548
1,591
289
Total area actually reporting
100.0%
20,494
2,159
18,335
33
147
393
1,586
5,046
11.341
1.948
Rate per 100,000 inhabitants
6,334.8
667.4
5,667.5
10.2
45.4
121.5
490.2
1,559.8
3.505,6
602.1
Waco, Tx. MSA
1%.S63
(Includes McLennan County.)
City of Waco
107.672
10.563
1,356
9,207
21
134
359
842
2.513
5,598
1,096
1,318
670.5
Total area actually reporting
100,0%
14.058
1.703
12.355
28
153
387
1,135
3,339
7,698
Rate per 100.000 inhabitants
7,151.9
866.4
6.285.5
14.2
77.8
196.9
577.4
1,698.7
3,916,3
Wuhingtoa. D.C.-Md.-Va.-W.V. MSA. ..
4.306.943
(Includes District of Columbia. Calvert,
Charles, Fredencli. Montgomery and
Prince Georges Counties. Md.,
Alexandria, Fairfax. Falls Church,
Fredericksburg, Manassas and
Oarke, Culpeper. Fairfax, Fauquier,
King George. Loudoun. Pnnce William,
Spotsylvania. Stafford and Warren
Counties. Va.. and Berkeley and
Jefferson Counties. W.V.)
City of Washington DC
589,000
67.134
16,680
50.454
443
215
7,456
8,566
10,719
30,618
9.117
Total area actually reporting
100.0%
239.962
33,374
206,588
677
1.321
14,133
17,243
36,059
141.537
28,992
Rate per 100.000 inhabitants
5,571.5
774.9
4,796.6
15.7
30.7
328.1
400.4
837.2
3,286,3
673.1
Wtterinry, Cl M,SA
186.481
(Includes part of Litchfield and New
Haven Counties.)
City of Waterbury
108.757
9,234
818
8.416
12
61
357
388
2,196
4,889
1.331
Total area actually reporting
100.0%
11,257
908
10,349
13
75
375
445
2,652
6,149
1.548
Rate per I00.(X)0 inhabitants
6.036.5
486.9
5,549.6
7.0
40.2
201.1
238.6
1,422.1
3,297.4
830.1
WaosiB. Wi. M,S.A
137.540
(Includes Marathon Counly.)
City of Wausau
37.932
1,945
24
1.921
8
10
6
189
1.670
62
100.0%
4,157
127
4.030
1
17
20
89
519
3.398
113
Rate per 100.000 inhabitants
3.022.4
92.3
2,930.1
.7
12.4
14.5
64.7
377.3
2,470.6
82.2
West Pilm Beacb-Boca Ralon, R
MSA
900.197
(Includes Palm Beach County.)
City of:
West Palm Beach
70,518
11.846
1.766
10.080
21
73
1,036
636
2.806
5,907
1.367
Boca Raton
64,105
3,457
209
3.248
10
91
108
862
2,126
260
Total area actually reporting
100.0%
81,695
10.523
71.172
69
406
3,375
6.673
19,000
45,121
7.051
Rate per 100.000 inhabitants
9,075.2
1,169.0
7.906.3
7.7
45,1
374.9
741.3
2,110.6
5,012.3
783.3
Wichita. Ks. M,Sj^
495,859
(Includes Butler. Harvey, and Sedgwick
Counties.)
City of Wichita
309.955
28.278
2.755
25.523
30
255
1.340
1.130
6.514
16,169
2,840
Total area actually reporting
99.6%
34.687
3.270
31.417
40
310
1.386
1.534
8.059
20.279
3,079
Estimated total
100.0%
34.780
3.277
31,503
40
311
1,387
1,539
8,079
20,341
3,083
Rale per 100.000 inhabitants
7,014.1
660.9
6.3532
8 1
62.7
279.7
310.4
1,629.3
4,102.2
621.7
See footnotes at end of table.
105
Table 6. — Index of Crime, Metropolitan Statistical Areas, 1992 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime-
Property
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
WichiU Falls, Tx. M,S,A
(Includes Archer and Wichita Counties.)
City of Wichita Falls
Total area actually reporting
Rate per 100,000 mhabitants
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. MSA
(Includes New Hanover County.)
City of Wilmington
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Yakima, W«. M3.A
(Includes Yakima County.)
City of Yakima
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Volo, Ca. M.S.A
(Includes Yolo County.)
Total area actually reporting
Rate 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. M5.A
(Includes Suiter and Yuba Counties.)
City of Yuba City
Total area actually reporting
Rate per 100.000 inhabitants
San Juan, Puerto Rico M.S.A.'
Total area actually reporting
Aguadllla, Puerto Rico M.S.A.^
Total area actually reporting
Arecibo, Puerto Rico M5.A.'
Total area actually reporting
Caguas, Puerto Rico M.S.A.^
Total area actually reporting
Mayaguez, Puerto Rico, M.S.A.^
Total area actually reporting
Ponce, Puerto Rico M.S.A.'
Total area actually reporting
135,484
99.990
8,806
100.0%
9,617
7,098.3
119,972
32,274
2,109
97.7%
3,843
100.0%
3.920
3,267.4
124,169
57,324
7,286
99.5%
10,947
100.0%
11,004
8,862.1
199,259
57,860
7,391
98.1%
15,477
100.0%
15,740
7,899.3
146,334
100.0%
10,220
6,984.0
343,191
42,643
3,385
97.6%
11,492
100.0%
11,729
3,417.6
127,199
28,456
2,404
100.0%
7,484
5,883.7
84,054
100.0%
4,198
100.0%
4,537
100.0%
8,401
100.0%
5,829
100.0%
8,308
100.0%
1,024
1,121
827.4
153
249
256
213.4
673
1.000
1.006
810.2
756
1.290
1.306
655.4
953
651.2
346
707
729
212.4
194
1.062
834.9
24,688
624
612
1,782
747
1.567
7,782
8,496
6,270.9
1,956
3,594
3,664
3,054.0
6,613
9,947
9,998
8,051.9
6,635
14,187
14,434
7,243.8
9,267
6,332.8
3,039
10,785
11,000
3,205.2
2,210
6,422
5.048.8
59.366
3,574
3.925
6.619
5,082
6.741
II
15
III
12
15
15
12.1
2
7
7
3.5
6
12
12
3.5
2
12
9.4
642
II
19
66
20
46
93
96
70.9
II
28
28
23.3
43
61
61
49.1
69
171
174
87.3
76
51.9
89
25.9
18
71
55.8
246
16
17
19
16
46
303
308
227.3
71
89
91
75.9
249
290
292
235.2
170
244
248
124.5
162
1107
178
250
255
74.3
36
102
80.2
20,478
250
308
1,196
255
931
617
702
518.1
71
130
135
112.5
369
634
638
513.8
515
868
877
4401
710
485.2
114
357
373
108.7
138
877
689.5
3,322
347
268
501
456
544
1,805
2,015
1.487.3
440
872
736.8
1,843
2,615
2,629
2,117.3
1,591
4,022
4,062
2,038.6
1,941
1,326.4
683
1,910
1,946
567.0
421
1.788
1,405.7
19,949
1,391
1,599
2.822
1.886
2.462
5,453
5,941
4.385.0
1,470
2,583
2,633
2.194,7
4,400
6,814
6.849
5,515.9
4,735
9.348
9.537
4,786.2
6.390
4,366,7
2,185
8,394
8,548
2,490.7
1,639
4.171
3.279.1
24.700
1,889
1,669
2,727
2,623
3.677
524
540
398.6
46
139
147
122.5
370
518
520
418.8
309
817
835
419.1
936
639.6
171
481
506
147.4
150
463
364.0
14.717
294
657
1,070
573
602
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this ofTensc. Arson data for individual cities arc shown in Table 8.
^Violent crimes are offenses of murder, forcible rape, robbery and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, and motor vehicle Ihef^. Data are not included for the property crime of arson,
'Forcible rape figures furnished by the stale-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, violent crime, and Crime Index total categories.
'The 1992 Bureau of the Census population estimates for the individual Puerto Rico MSA's were not available prior to publication: therefore no population or rales per 100.000 inhabitants
are provided.
106
Table 7.— Offense Analysis, United States, 1988-1992
Classificalion
1988
1989
1990
1991
1992
Murder
Forcible Rape
Robberv:
Total
Street/highway
Commercial house
Gas or service station
Convenience store
Residence
Bank
Miscellaneous
Burglary:
Total ..
Residence (dwelling):
Nighl
Day
Unknown
Nonresidence (store, office, etc.)
Night
Day
Unknown
Larceny-thefl (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 $2(X)
$50 to $200
Under $50
Motor Vehicle Theft
20,680
92.490
542.970
293,229
64,769
15,745
34,516
56,853
7,739
70,119
3,218,100
2.164,309
662,067
928,481
573,761
1.053,791
509,872
231,372
312,546
7,705,900
82,537
93,469
1,160,059
1,667,608
1.264,672
436,204
1,161.471
71.345
1.768,535
2.679,311
1.952,763
3.073,826
1.432.900
21.500
94,500
578.330
318.017
68.173
16.355
36,381
56.928
7,932
74,544
3,168,200
2,096,233
650,852
894.475
550.906
1.071.967
519,195
236.196
316,575
7.872.400
78.502
89.032
1.230,317
1.726,688
1,227,923
431,634
1,154,833
65,140
1,868.332
2.780,065
1,928,809
3,163,526
1.564.800
23,440
102.560
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
386.552
80.448
17.829
39,429
67,592
11.019
84,863
3.157.200
2.088.343
663.991
900.149
524.203
1,068.807
501.437
255.946
311.424
8.142.200
83,132
83.183
1.343.196
1.827.508
1.150.443
475.172
1,150.443
79.325
1,949,826
2.916,280
1.930.465
3.295.483
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
Because of rounding. ofTenses may not add to totals.
107
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992
* Ar^on IS shown only if 12 months of arson dala were received. Leaders (...) indicate zero data. The Modified Crime Index total is the sum of the Crime Index
offenses, mcluding arson.
City by Slate
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
Ihcft
ALABAMA
Albertville
Alexander City
Anniston
Athens
Auburn
Birmingham
Cullman
Daphne
Decatur
Dothan
Enterprise
Fairfield
Florence
Fon Payne
Gadsden
Hartselle
Homewood
Hoover
Hueytown
Huntsville
Jacksonville
Jasper
Leeds
Madison
Mobile
Montgomery
Mountain Brook
Northport
Opelika
Ozark
Phenix City
Prattville
Prichard
Saraland
Scotlsboro
Selma
ShefTield
Sylacauga
Tuscaloosa
Tuskegee
Vestavia Hills
ALASKA
Anchorage
Fairbanks
Juneau
ARIZONA
Apache Junction
Avondale
Bullhead City
Casa Grande
Chandler
Flagstaff
Gilbert
Glendale
Kingman
14.848
15,268
27,250
17,299
34.628
272,407
13,682
11,556
49,911
54,853
20,597
12,487
37,285
12,116
43,526
1 1 ,049
23,462
40,726
15.640
163,560
10,525
13.872
10.180
15,255
200.911
191.522
20.277
17.775
22.644
13.226
25.909
20.048
35.120
12.027
14.111
24.315
10.624
12.814
79,594
12.545
20,214
241.565
32.914
28,547
18.922
16.903
22,949
19.949
94.652
47.943
30.516
154.874
13.300
489
343
4.153
759
1.932
32.553
657
462
3.797
4.562
1.100
1,875
1,944
285
4.911
235
1,859
1,725
630
15.850
421
1,095
452
543
26.257
12.451
392
1,093
2.330
881
1,916
1.409
4.322
921
663
3.256
448
427
8.832
1.178
249
I 7.045
2.410
985
1.067
1.533
2,264
3.021
6.220
4.096
1.967
12.557
1.775
499
4.177
32.872
1.729
425
544
26.318
394
1.093
883
1.411
455
17.150
2.412
989
1,083
1,540
2,275
3,039
6,252
4.102
1,992
12.626
1.778
133
1
16
4
1
35
5
12
362
2
2
14
44
12
12
14
24
2
12
I
73
3
8
4
6
172
120
2
3
27
1
19
8
30
3
2
19
253
60
3
4
16
159
7
30
1.854
4
9
89
86
17
108
23
3
135
51
45
12
405
4
16
3
9
1,188
537
5
21
62
9
42
37
241
13
91
5
4
274
21
7
484
79
2
10
33
31
52
80
49
14
248
9
6
45
617
101
56
3.795
39
8
132
375
101
127
192
7
907
7
32
73
81
1.017
43
177
19
42
5.768
796
5
72
579
224
214
306
498
155
31
724
12
39
844
111
1.217
201
20
88
125
124
261
152
152
80
823
91
134
99
1.141
131
437
7.447
116
88
752
836
173
254
306
49
933
47
292
289
92
2.732
75
157
53
87
5.056
3.550
80
175
443
100
432
263
1.574
126
117
605
93
93
1.585
386
51
2.650
244
117
241
560
578
481
1.354
504
455
1.820
317
309
170
2.018
501
1.349
15.231
461
349
2.603
3.036
757
1.116
1.348
204
2.426
162
1,316
1,127
382
10,945
283
634
351
378
11,754
6.233
283
780
1,159
534
1,083
745
1,478
579
486
1,664
322
276
5,665
610
172
10.813
1.582
787
661
657
I. .383
1,995
4.008
3.232
1.213
7.991
1.302
31
II
172
14
48
3.731
34
6
204
183
40
255
58
22
475
16
165
174
61
658
12
100
22
21
2.284
1.183
17
40 ,
56
12
121
50
485
45
19
149
16
15
381
36
19
1.611
242
56
56
137
133
210
595
134
192
1.588
49
106
I'able 8. — Number of Oflenses Known lo the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Citv bv Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
neghgcnl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Molor
vehicle
theft
ARIZONA— ContiniKd
Lake Havasu City
Mesa
Nogales
Paradise Valley
Peoria
Phoenix
PrescotI
Scottsdale
Sierra \ isla
Tempe
Tucson
ARKANSAS
Arkadelphia
Benton
Benionville
BIylheville
Camden
Conway
El Dorado
Fayetteville
Forrest City
Fort Smith
Harrison
Hoi Springs
Jacksonville
Jonesboro
Little Rock
Magnolia
North Little Rock
Paragould
Pine BlufT
Rogers
Russellville
Searcy
Sherw(x>d
Springdale
Siuitgan
Texarkana
Van Buren
West Memphis
CALIFORNIA
Agoura Hills
Alameda
Albany
Alhambra
Anaheim
Anlioch
Apple Valley
Arcadia
Areata
Arroyo Grande
Artesia
Alascadero
Alwater
Auburn
25.471
301,200
20.375
12.201
52,920
999,900
27,657
135,987
34,483
148,320
423,836
10,218
18,549
11.487
23,376
14.675
27.024
23.620
42,962
13,637
74,291
10,124
33,127
29,698
47,490
179,498
11,379
63,007
18.919
58.313
25.198
21.696
15.491
19.279
30.554
10,633
23,094
15,285
28,838
21.147
79.302
16.934
85.159
276.314
64.507
47.792
50.085
15.761
14.912
16.039
23,997
23,110
10.985
1,409
21,163
1,665
456
2,638
92.213
1,784
7,910
1.182
11,481
44,133
305
1.138
537
3,010
889
1,861
1,820
2,795
1.785
5,961
262
3,911
1,683
2,877
27,140
356
7,348
579
4,245
1.710
1,172
686
552
1.519
778
2.937
884
1.632
718
5.241
720
4.399
18.731
4.678
2.522
2.409
837
673
974
1.031
1,216
497
1.412
21,252
1,668
456
2.642
92,566
1,792
7,950
1,190
11,552
44,317
305
1,140
537
3,041
894
1,865
1,824
2,798
1,794
5,981
263
3,920
1,691
2,914
27.335
356
7,368
582
4.319
1.712
1,172
688
553
1,521
781
2,946
884
1,633
724
5,283
724
4,450
18,846
4,755
2,538
2,422
845
680
983
1,041
1,221
501
1
9
2
1
2
136
I
4
42
19
9
119
2
2
26
476
7
18
5
73
386
27
23
21
222
I
73
8
67
3
II
I
7
5
23
1
28
3
295
79
4
30
3,140
21
107
15
188
970
II
3
105
26
24
54
22
34
93
132
31
52
1,226
18
314
1
194
13
10
5
I
12
19
104
5
104
15
259
46
379
891
144
55
112
7
5
91
12
16
58
1,631
53
4
219
7,155
183
233
19
528
2,929
25
74
9
270
79
48
93
64
352
311
6
160
163
177
3,795
38
274
8
470
22
12
7
13
54
16
216
59
66
82
258
18
136
732
474
220
117
43
108
169
82
95
40
243
4,461
536
255
702
20,317
201
1,602
152
1,501
6,815
63
209
58
819
157
229
496
465
291
1,049
40
1,117
242
681
5,392
144
1,326
126
1,488
224
191
67
135
300
232
547
228
251
178
831
123
884
3,961
787
739
494
121
129
231
272
343
132
1.018
12,139
782
155
1,505
46,006
1,312
5,285
877
7,852
28,629
186
795
449
1,681
584
1,462
1,099
2,048
1,040
4,119
198
2.271
1,135
1,800
13,832
130
4,645
413
1.554
1,386
915
564
381
1,028
453
1,941
545
907
351
3,440
452
2,029
9,546
2,886
1,257
1,354
636
406
324
598
683
293
77
2,509
211
35
154
14.983
59
661
112
1,331
4,362
21
40
17
111
32
87
65
179
50
332
18
198
86
145
2,617
23
707
23
453
62
32
42
21
118
51
103
46
270
86
427
76
948
3,476
354
231
324
25
19
152
62
69
24
109
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Slate
Population
Crime
Index
total
Modined*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thefl
Motor
vehicle
then
Arx)n»
CALIFORNIA— Continued
42,869
181,321
71,908
21,334
22,270
10,044
35,642
43,930
64,113
25,023
25,345
106,543
33,159
19,626
34,094
71,341
97,125
27,797
73,905
19,325
54,247
37,387
10,548
65,472
14,257
87,118
31,203
27,292
55.323
41,568
61,901
140,189
33,711
12,242
52,194
17,523
41,708
12.585
93.818
115.489
13.860
78.925
27.526
99.940
44.814
23.665
40.235
41.759
44,240
95,743
33,081
32.470
47.927
23.608
12.101
55,667
13,216
2.251
14.511
2,927
1.463
1,524
1,075
1,349
2.387
4.421
704
985
13,506
2,435
1,728
2.106
4,790
4,648
1,406
559
1,778
1,314
1,908
1,388
3,696
544
5,443
2.037
2,058
4,178
3,388
3,780
10,389
1,769
1,124
3,504
1,416
3,328
2,308
7,422
7,348
418
6,338
876
7,379
2,886
987
2,940
1,717
2,248
3,801
1.648
692
3,085
2,054
1,675
1,852
775
2,280
14,653
2,961
1.557
1,529
1,084
1,353
2,403
4,440
705
991
13,579
2,448
1,742
2,122
4,800
4,762
1,410
560
1,805
1,333
1,923
1,399
3,702
545
5,497
2,037
2,066
4,201
3,413
3,824
10,447
1,780
1,129
3,535
1,416
3,345
2,323
7,531
7,366
425
6,368
885
7,394
2,903
997
2,955
1,740
2,269
3,808
1,666
694
3,111
2.055
1,681
1,868
782
1
16
12
4
2
1
6
5
9
15
51
15
13
10
4
9
16
27
3
9
28
6
8
8
28
22
11
1
134
510
266
50
54
19
205
230
368
17
16
882
212
43
37
220
226
23
28
29
42
47
14
93
9
389
48
47
235
44
108
553
90
22
72
32
165
139
1,135
261
4
224
13
184
186
95
290
49
44
175
29
8
33
79
16
97
9
180
1,105
315
157
132
156
183
424
632
35
29
733
73
192
88
210
312
46
71
44
130
77
51
293
61
857
355
124
281
161
347
645
83
126
144
77
206
187
1,115
417
48
150
35
228
117
257
51
86
85
214
143
7
96
157
207
206
64
642
3,499
1,156
490
334
346
297
550
944
111
263
2,406
445
531
351
1.042
764
149
123
410
315
338
108
812
127
1,116
531
442
877
575
804
1,983
523
343
768
439
775
361
1,750
1,584
120
1,665
197
1,392
527
140
451
348
436
430
435
207
456
530
584
487
253
850
8,066
398
640
884
501
354
796
1,411
493
571
8,142
1,408
861
1,369
2,314
2.261
1.014
259
935
730
1,285
1,182
1,969
313
1,789
905
1,224
1,886
2,348
1,902
4,672
872
577
2,051
772
1,446
975
1,794
4,425
222
3,140
524
4,594
1.448
327
1.589
1.154
1.375
2,265
921
453
2,308
1,109
715
713
384
429
1,264
765
109
108
48
295
366
1,030
45
97
1.303
291
91
251
972
1.056
161
77
358
92
146
30
509
29
1,250
185
209
884
219
608
2,478
195
41
454
89
712
636
1,485
623
21
1,121
103
926
586
158
551
72
295
703
108
14
181
169
142
342
62
29
Bakersfield
142
Baldwin Park
34
94
5
9
Bell
4
16
19
1
6
12
73
13
2
2
4
7
2
14
16
10
114
4
1
2
1
1
27
4
14
3
18
4
30
12
10
10
39
10
51
6
12
15
4
17
6
85
33
3
32
4
47
20
8
6
8
13
12
8
3
II
9
7
7
3
19
Campbell
15
II
Carlsbad
2
1
12
1
2
5
2
1
7
6
1
54
Cathedral Citv
8
Cerritos
23
25
44
58
11
Clearlake
3
5
31
3
7
4
58
5
Colton
17
IS
Complon
109
18
7
Corona
6
30
9
8
2
2
2
15
17
10
Culver City
15
23
Cypress
21
2
4
7
18
Danville
2
26
4
6
16
Dinuba
7
110
Table 8. — Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1992 — 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
Arson"
CALIFORNIA— Continued
10,787
94,844
21.456
24.092
24.322
91.991
32.550
23.719
110.158
15,789
112.674
28.029
80.082
12,437
30,909
90,790
29,223
55,687
179.785
367.376
118.388
5 1 .700
148.369
32,657
186,734
49.606
11,353
12,088
32,045
14,146
74,002
115,644
37.435
17.454
18.896
52.293
35.719
11.063
19.926
188.270
58.149
38.161
113.678
114,433
20,098
24,374
24.031
47,480
46.050
53.171
18.964
56.963
76.292
54,899
41.955
99.909
15.963
569
4.592
932
691
1.763
7.658
3.385
1.660
6.675
1.247
8.513
2.590
5,832
525
886
7.518
862
3.117
6,865
44,498
8.625
4.058
10.034
1.957
8.282
1.727
511
460
2.047
1.145
6.768
7.997
4.015
515
1,181
2,320
2,355
80
1,268
8,5 1 8
5,106
3, 1 53
9,524
4.948
355
639
1.389
1.804
1.349
2.459
2.865
1.899
4.366
3.363
1.619
6.130
695
574
4,643
940
691
1.776
7,692
3,407
1.668
6,739
1,252
8,554
2,632
5,859
529
886
7,563
869
3.136
6,919
45.143
8.667
4.100
10.078
2.026
8,329
1,748
517
462
2,054
1,152
6,811
8.067
4,053
521
1,192
2,338
2,373
80
1,276
8.557
5.137
3.181
9.636
4.986
363
643
1.391
1,827
1.359
2.473
2.886
1,934
4.389
3,369
1,667
6,164
698
5
21
6
3
14
49
19
5
53
6
38
21
45
3
3
83
3
9
34
203
31
28
46
7
38
10
3
9
13
3
49
46
18
2
7
20
20
6
362
56
17
279
249
77
144
710
53
273
62
232
9
10
491
13
99
135
3.094
270
655
452
38
373
57
23
6
44
133
777
411
113
12
35
52
150
1
18
190
517
178
1.380
50
12
14
16
36
20
102
80
45
247
138
84
304
18
22
181
138
39
346
534
181
53
744
25
609
160
492
93
27
823
42
75
445
1.985
370
372
494
212
298
114
21
53
106
216
745
575
138
53
60
93
203
111
899
226
111
291
1,485
808
244
1.684
251
1.641
466
875
158
187
1.593
120
505
1.451
9.413
1.625
863
2.115
299
1.756
425
129
111
315
195
1.295
1,431
1.156
142
275
674
636
25
224
1.944
90!
772
1,900
1,226
115
173
428
417
408
428
799
488
712
689
445
1.482
170
384
1.985
358
473
388
4,320
2,056
1,011
2,062
722
4,579
1,688
3,743
239
594
2.950
641
1,998
4,204
16,711
4,995
1,267
5,160
1.261
4.407
95!
220
266
1.378
433
2.345
4,570
2,026
247
641
1.183
942
52
795
4.555
1.311
1,641
2,413
3,129
161
410
727
1,084
743
1,289
1,214
1.072
1.849
1.732
572
2.508
343
41
1.139
144
48
406
1.019
240
203
1.405
190
1,365
188
442
23
65
1,560
42
431
590
13,011
1,330
860
1,762
139
1,403
169
115
15
189
160
1,539
959
562
59
163
294
397
2
73
1,158
2,020
368
2,590
447
31
27
101
173
87
315
476
188
1,089
646
283
758
120
5
5
4
51
8
39
2
4
13
34
EI Centre
22
El Cerrito
8
El Monte
17
64
5
8
5
3
41
Eureka
42
Fairfield
27
4
18
1
45
7
19
Fremont
6
81
4
13
5
1
7
1
54
645
42
42
44
Gilroy
69
47
21
6
2
2
5
18
5
2
7
Hawthorne
7
43
70
Hemet
38
6
11
4
7
18
18
4
64
15
24
67
10
1
8
10
8
8
8
11
1
15
10
7
55
2
154
599
334
166
1.137
83
35
7
106
85
82
314
281
104
449
146
227
1.013
42
8
Hunlington Park
8
8
4
37
3
39
31
28
112
Ir\'ine
38
8
Lafayette
4
1
1
1
3
4
1
5
2
1
10
2
23
Laguena Niguel
10
La Habra
14
Lake Elsinore
21
35
Lakewood
23
6
48
Lancaster
34
La Palma
3
111
Table 8. — Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1992 — Continued
Ciiy by State
Population
Crime
Index
lolal
Modified'
Crime
Index
lolal
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
38,328
11,631
32.045
28,347
14.127
58.850
53,802
18,046
20,102
39,049
445,405
12,110
27,280
3,615,355
15,058
28,373
64,248
30,369
11,317
33,254
42,289
27,418
32,990
12,781
28,885
29,082
58,305
21,171
13,522
52.570
75,527
170,856
37,090
29,491
61.778
33,141
62,996
26.442
16.441
123.196
24.817
69.968
64.141
56.266
39.268
69.121
24.168
97.784
49.354
12.405
386,086
133.173
138.132
114.773
17.260
12.404
2,081
898
1,039
1,802
764
2,977
3,825
1,084
916
1,978
35,337
696
608
338,531
910
1,226
5,613
2,426
752
1,940
2,887
798
1,358
1.170
1.174
1.430
4.469
662
548
2.417
2.172
11.758
2.242
3.593
3.769
2,455
3.029
561
257
9.437
1.278
3.840
3.563
5,285
2,636
3,898
1.201
4,945
1,870
768
48,086
9,317
10,335
6.909
374
1.013
2.104
904
1.051
1.818
764
3.004
3.831
1.093
919
2.003
35,699
711
621
344.794
919
1.241
5.683
2.458
756
1.948
2.906
801
1.361
1.181
1.182
1,440
4.496
666
553
2,425
2,221
12,009
2,243
3,599
3.828
2.457
3.034
568
259
9.491
1.282
3.840
3.630
5..307
2.654
3.916
1.211
4.992
1.877
776
48.545
9.378
10.396
6.951
374
1,014
13
16
3
1
7
■>
11
25
5
6
14
218
4
4
1.872
7
7
50
21
9
7
20
6
12
6
-)
6
35
5
3
20
11
74
4
13
14
20
8
4
4
44
13
17
27
50
9
24
6
32
17
3
418
76
65
24
209
9
39
205
5
37
72
34
50
46
3.583
16
22
39.508
19
10
761
160
13
72
60
26
34
23
123
60
91
18
15
55
42
351
108
225
260
79
385
11
t
468
13
107
50
360
46
59
33
378
24
9
4.610
525
557
222
7
29
493
90
46
354
179
184
389
48
229
129
3,020
24
14
46,445
60
57
1,342
190
78
79
142
39
44
100
148
104
160
23
13
89
138
703
282
187
378
360
243
64
11
967
79
210
295
452
195
263
107
864
187
23
4,947
968
914
277
7
60
365
366
242
393
173
571
748
287
215
382
7,554
177
183
57,771
145
285
1,201
496
165
532
463
165
351
160
253
284
973
103
104
363
516
2,292
392
595
677
611
816
171
58
2,147
333
440
644
909
343
1,111
292
1,027
314
174
8,870
2,094
2,229
1,575
116
320
557
381
595
480
345
1,974
2,243
499
284
1,338
14,540
385
365
123,860
637
815
1,148
1,222
398
942
1,909
525
803
790
377
880
2,811
412
.391
1,699
1,296
7,135
1,131
1,848
1,631
1,279
847
261
168
4,485
759
2,772
2,344
2,247
1,848
2,122
537
1,668
1.213
530
21,310
3,969
4,769
3,859
236
473
428
49
116
358
60
200
347
210
131
68
6,318
90
19
67,981
41
52
1.092
327
85
308
290
37
113
90
265
95
396
101
22
190
169
1.186
324
719
805
105
728
50
14
1.311
80
292
201
1.260
191
319
225
969
112
29
7,766
1,669
1,782
943
8
124
23
6
12
5
16
27
Lodi
1
1
1
1
104
6
9
3
Lorn poc
Long Beach
25
362
15
1
1.094
1
13
6,263
Los Banos
9
15
Lynwood
Madera
19
10
4
70
32
4
8
3
19
3
1
1
6
1
3
3
Marysville
11
8
Menlo Park
10
Merced
27
Millbrae
4
5
Milpilas
1
8
Mission Viejo
49
17
1
6
4
1
2
251
Monrovia
6
59
2
Monterey Park
5
7
2
15
1
2
2
7
4
54
4
67
22
Newark
18
18
1
7
3
10
Norwalk
47
7
Oakdalc . .
8
Oakland
165
16
19
9
459
61
Ontario
61
42
Oroville
2
5
I
112
I'able 8. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Slalc
Populalion
Crime
Index
Iota!
Modified-
Crime
Index
lolal
Murder
and non-
negligent
man-
slaughler
Foreibic
rape
Robbery
Aggra-
vated
assault
Burglary
Larccny-
Iheft
Motor
vehicle
Ihefl
Arson*
CALIFORNIA— Continued
147.505
39.070
16.715
71.401
24.116
41.674
57.978
14.014
26.352
49,441
136,485
17.150
22.258
44.789
61.377
10.995
18.108
49.332
42.793
32,758
52.433
136.621
30,661
21,074
105,180
10,140
43,207
12.822
68.933
62,640
62,404
68.529
16,377
75,079
90,676
28,755
234,929
19,740
37,676
53,557
46,346
383.102
112.822
12,179
170,269
40,409
27.140
42,628
1.151,853
33,601
23,419
750,885
38,500
17,464
16,812
811.342
27.156
10.011
1.197
696
4.676
2.883
3.899
3.494
262
796
3.999
10,168
879
2,603
2,077
2,680
458
1,180
3,045
1,556
2.123
1.973
9,943
2,619
823
5,325
612
892
1,025
4,298
3,121
4,254
3,453
982
5,345
10,675
905
20,094
740
2,076
2,808
3,030
38,374
8,470
440
22,783
1,942
911
1,257
92,258
1,315
1,453
76,551
1,824
688
1,662
39,802
1,276
10,058
1,204
705
4,705
2,898
3,980
3,510
263
806
4,035
10,261
892
2,657
2,093
2,711
462
1.182
3,074
1,574
2,130
1,986
10,356
2,620
826
5,360
612
900
1,030
4,330
3.143
4,266
3.482
987
5.386
10.824
953
20.362
741
2.095
2,824
3,045
38,568
8,527
446
22,955
1,943
911
1,265
92,519
1,324
1.456
77.015
1,835
693
1.665
40.122
1.285
14
75
12
5
44
19
40
8
1
■)
27
55
7
16
32
15
1
7
19
7
12
6
86
21
569
32
12
212
55
128
76
3
5
360
857
11
154
29
205
17
105
177
53
62
16
911
36
46
185
3
20
12
82
122
173
101
18
477
919
13
1.167
10
23
291
67
2.322
388
4
1,835
55
17
30
5,321
47
128
8.278
163
11
24
1.231
27
965
205
69
806
138
327
40
16
51
659
1.098
114
178
150
661
2
95
265
116
118
44
1.060
132
59
275
40
76
60
301
253
220
381
91
738
1.745
113
2,173
19
329
446
208
2,070
722
13
3,748
58
48
53
8,840
148
180
4,886
132
55
212
3,705
101
2,134
166
191
1,051
747
1,063
576
84
223
796
1,891
250
628
423
454
98
212
926
389
441
304
2.214
548
250
1.221
238
250
130
1,026
730
875
480
147
1,580
2,182
206
4,398
211
645
641
585
7.305
1,473
110
5,075
191
132
340
16,437
311
235
11,831
462
248
679
6,776
309
5,145
687
391
1,932
1,705
1,905
2,626
149
478
1,144
4,846
459
1,055
1,334
817
303
608
1,443
736
1,366
1.463
3.898
1.591
409
2.599
296
428
767
2.591
• 1,525
2,367
2,097
615
1,616
4,048
521
8,700
425
985
933
1,788
18,216
5,142
303
8,572
1,448
640
644
40.798
620
536
38.375
796
270
611
23.806
700
1.109
95
27
620
217
430
167
8
37
1.006
1.403
35
567
109
513
37
152
205
253
124
140
1.735
289
57
1,005
33
115
45
229
471
604
363
96
889
1,651
42
3,503
71
83
476
369
8,179
675
6
3,340
183
66
182
20.231
179
362
12.669
263
101
130
3.793
135
47
7
1
1 1
2
6
1
1
9
29
Palm Desert
15
81
16
Palos Verdes Estates
1
10
7
IK
."(
5
36
Pasadena
93
13
54
16
15
31
4
1
10
2
2
29
18
Pleasant Hill
7
13
39
2
2
3
413
Portenille
1
3
37
2
2
11
66
18
15
28
12
34
84
10
130
4
11
12
12
237
54
4
138
7
7
5
485
10
9
395
7
2
3
448
4
35
1
8
Red Bluff
5
3
32
Redlands
22
12
3
3
11
46
29
Reedley
5
41
Richmond
149
48
Rocklin
23
268
1
19
9
1
45
16
16
Roseville
Sacramento
15
194
57
6
75
172
1
1
3
146
San Clemente
8
261
9
San Fernando
3
117
1
1
3
43
3
464
San Gabriel
11
5
3
320
9
113
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaugtiter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
L-arceny-
ttiefl
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
70,760
43,517
13,440
88,664
26,093
50,204
36,615
304,666
88,753
97,093
114,756
50,863
16,096
63,562
90,137
25,994
117,527
29,104
26,030
40,347
15,305
11,162
103,943
21,625
89,492
22,388
24,825
56,331
31,624
218,787
23,529
121,588
28,106
32,255
108,232
138,057
34.806
34.485
43,766
52,573
12,260
11.481
15.141
55.760
65.731
74,136
113,259
94,646
42,186
78,448
30.187
62.821
32.254
99,659
37.461
81,023
29.971
4.818
2.078
250
3,840
3,150
2,906
1,052
21,076
5,580
5,387
3,724
4,252
2,378
4,713
10,515
1,586
7,224
524
838
1,922
1,184
211
3,507
1,399
5,135
1,587
1,072
2,437
2.504
23,761
1,008
4,842
1,869
1,137
3,407
7,861
2,062
3,228
3,584
3,399
834
742
1,172
2,753
5,062
3,409
9,651
5,381
4,297
6,433
890
2.883
2.491
6.741
4.231
5.675
2,680
4,853
2.098
260
3.859
3,176
2.920
1,055
21,536
5,599
5,407
3.774
4.269
2.395
4.723
10.610
1.594
7.274
528
842
1.945
1.188
213
3.547
1.404
5.159
1,590
1,079
2,459
2,586
23,887
1,019
4,874
1,872
1,143
3,447
7,910
2,076
3,251
3,656
3.427
840
744
1.182
2.786
5.108
3.425
9,709
5.434
4.318
6.446
907
2.918
2,506
6,857
4,254
5,692
2,699
6
1
20
21
293
32
12
143
246
70
13
1,986
162
115
114
103
124
158
704
50
207
2
27
135
43
4
76
123
598
38
83
64
116
1,531
33
107
41
55
79
498
17
97
73
89
22
7
8
100
175
101
686
187
207
144
44
55
65
402
443
259
92
200
124
17
246
340
162
17
1,114
490
300
612
373
214
293
645
99
412
31
13
292
84
10
178
290
382
103
45
127
198
1,596
59
131
141
104
307
357
149
377
215
80
92
II
56
131
.327
234
1.097
226
367
407
106
153
277
476
372
192
286
763
426
69
476
506
453
192
3,791
1,270
765
827
759
522
926
1,604
503
1.-391
164
201
213
279
75
760
298
1,191
508
233
463
676
4.617
300
634
405
294
786
1.533
352
926
879
661
294
135
261
643
1.352
554
2.029
1..360
870
1,106
294
598
405
1,051
715
1.408
685
2.888
1.376
138
2,569
1,639
1,976
767
9,854
3.360
3.697
1.694
2.798
942
3.117
5,827
848
4.740
312
482
1.145
489
104
2,034
398
1,283
859
470
1,420
1,149
12,170
536
3,496
956
533
1.865
3,885
1,377
1,578
2,081
2,122
341
549
790
1.612
2.538
2.236
4.731
3.191
2.282
4.105
339
1.896
1,589
3,298
1.829
2.855
1,251
648
98
14
378
395
221
55
4,201
259
464
448
190
558
179
1,678
79
386
14
108
124
276
17
446
275
1.645
58
234
354
347
3.624
72
439
320
145
352
1,559
158
225
307
432
72
37
47
244
637
247
1,019
378
522
627
102
169
141
1,469
850
941
339
35
San Litis Obispo
20
10
3
8
25
16
24
8
72
35
42
25
28
13
35
50
5
86
1
6
10
11
1
1 1
11
26
21
7
8
14
170
7
33
6
5
17
27
8
21
28
14
12
3
10
21
29
32
76
35
40
40
4
12
14
41
16
16
24
19
San Pablo
26
San Rafael
14
3
Santa Ana
58
4
4
4
1
5
5
7
2
2
460
19
20
50
17
17
10
95
8
50
4
1
3
2
4
23
4
2
2
4
10
40
5
South Gate
24
3
7
1
4
53
1
2
22
Stanton
82
126
11
32
3
1
1
2
1
4
1
1
1
6
40
49
14
23
72
28
6
2
Ukiah
10
Union City
2
4
5
13
4
9
4
1
33
46
16
Vallejo
58
Ventura
53
Victorville
21
Visalia
13
Walnut
17
35
Walsonville
15
West Covina
4
6
4
3
116
23
17
West Sacramento
19
114
Table 8. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Snie
Population
Cnmc
Index
total
Modined*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CALIFORNIA— Continued
Whiltier
Woodland
Yoi*a Linda
Yuba City
Yucaipa
COLORADO
Aurora
Boulder
Brighton
Broomfield
Canon City
Colorado Springs
Denver
Durango
Englewood
Fountain
Golden
Grand Junction
Greeley
Lafayette
Lakewood
Littleton
Longmont
Louisville
Loveland
Northglenn
Pueblo
Sterling
Thornton
Westminster
Wheat Ridge
CONNECTICUT
Ansonia
Avon
Berlin
Bethel
Bloomfield
Branford
Bridgeport
Bristol
Brookfield
Cheshire
Clinton
Coventry
Cromwell
Danbury
Darien
Derby
East Hampton
East Hartford
East Haven Town
East Windsor
Enfield
Fairfield
80.558
41,282
54.370
28.456
34,044
233.939
87.751
14,959
25.948
13.363
296.124
492.672
13.091
30,952
10,515
13.814
30,580
63.761
15,322
133,221
35,479
54,302
13,018
39,342
28,643
99,990
10,913
57.963
78,758
30,986
18,367
13,910
16.754
17,507
19,445
27,550
141,480
60,526
14,086
25,635
12,743
10,043
12,262
65,462
18,161
12,175
10,408
50,357
26,094
10,061
45,446
53,318
4,007
2,081
1,477
2,404
1,415
20,016
6,551
983
1,130
646
20,194
40,176
1,136
3,132
505
713
3,129
4,373
605
8,570
1,547
2,624
450
1,469
1,869
7,096
673
3,817
4,626
2,379
521
282
342
267
1,029
584
16,210
2,608
329
440
276
164
396
3,605
404
423
185
2,410
1,653
337
1,478
1,964
4,033
2,111
1,501
2,411
1,425
20,127
6,594
990
1,155
656
20,300
40,622
1,136
3,197
508
728
3,143
4,390
607
8,635
1,565
2,640
457
1,475
1,884
7,146
678
3,853
4,649
2,404
532
286
342
270
1,031
584
16,377
2,618
333
442
281
164
396
3,606
406
430
186
2,426
1,653
339
1,484
1,966
57
182
II
2
5
226
437
29
11
2
2
11
39
3
53
9
24
198
26
35
36
22
672
28
7
2
5
448
1,804
5
74
3
5
29
32
4
165
22
28
1
4
20
142
1
42
45
34
14
8
1,835
39
297
179
74
138
100
3,194
128
44
80
7
851
2,967
124
200
17
37
140
85
36
490
28
91
42
92
112
1,302
27
196
181
146
22
16
924
240
3
2
4
5
4
114
15
100
11
5
47
I
798
423
265
421
505
2,975
843
178
154
105
3,783
8,897
104
463
72
111
490
814
81
1,411
316
414
118
173
254
1,352
112
690
738
400
91
61
61
60
223
85
4,081
647
75
105
99
22
32
697
81
98
22
458
333
70
245
441
2,138
1,091
939
1,639
662
1 1 ,300
5,214
695
845
494
13,791
17,892
844
2,124
395
519
2,324
3,244
456
5,725
1,018
1,932
266
1,102
1,307
3,902
511
2,548
3,278
1,631
326
205
219
182
629
401
4,500
1,238
236
306
166
127
307
2,423
265
242
131
1,391
1,104
207
911
1,181
547
336
155
150
116
1,677
327
55
41
30
1,078
8,084
30
257
13
38
131
157
25
724
154
135
23
46
161
301
20
305
370
161
62
II
51
14
137
70
4,739
442
14
25
6
10
47
282
43
63
15
362
168
50
252
318
115
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by State
Population
Crime
Index
total
Modil'ied*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CONNECTICUT— Continued
Fartninglon
Glastonbui7
Greenwich
Groton Town
Guilford
Hamden
Hartford
Madison Town
Manchester
Meriden
Middletown
Milford
Monroe
Naugatuck
New Britain
New Canaan
New Haven
New ington
New London
New Milford
Newtown
North Branford
North Haven
Norwalk
Norwich
Orange
Plainfield
Plain ville
Plymouth
Ridgcfield Town
Rocky Hill
Seymour
Shellon
Simsbury
Southington
South Windsor
Stamford
Stonington
Stratford
Suffield
Torrington
Trumbull
Vernon
Wallingford
Waterbury
Waterford
Walertown
West Hartford
West Haven
Weslport
Wethersfteld
Willimantic
Wilton
Windsor
Windsor Locks
Wolcott
20,569
27,848
58,331
35.240
19,810
52,335
139.477
15,455
51,520
59,367
42,681
49,844
16,863
30,567
75,350
17,830
130,229
29.153
28.486
23.584
20.739
12.971
22.205
78.184
37.321
12.805
14.335
17.359
11.799
20.879
16.522
14.260
35.351
21,980
38,445
22.048
107,854
16,886
49,296
1 1 ,405
33,623
31,955
29,785
40,745
108,757
17,896
20,417
59,997
53,919
24,363
25,602
15,217
15,958
27,764
12.334
13.674
943
514
1.592
1.236
546
2,968
21.088
371
3.184
2.850
2.116
2.927
293
800
6.087
254
17.483
1.125
1.893
659
411
319
962
4.517
1.561
810
180
515
317
315
569
335
716
329
1.340
372
5.970
517
2.361
148
1.119
1.512
771
1.360
9.234
895
657
2,584
3.179
806
788
951
287
835
344
343
943
517
1,599
1,238
547
2.968
21.405
373
3,209
2,881
2.125
2.941
296
812
6,110
254
17,635
1,129
1,906
663
414
325
968
4,539
1,578
817
180
518
318
317
570
339
722
333
1,344
372
5,994
519
2,377
148
1,120
1,513
774
1,373
9,243
903
658
2,599
3,196
806
794
952
287
838
348
343
30
2
13
4
16
125
5
41
1
131
10
4
12
7
i
44
1,492
4
56
85
25
48
1
10
251
1
1,227
13
77
I
I
14
137
43
15
4
9
4
2
9
9
1
24
3
241
4
73
2
8
14
12
20
357
15
10
1
11
59
I
33
1,477
3
123
104
81
15
10
28
240
3
1,845
22
149
10
10
133
86
7
5
5
3
26
1
II
6
223
7
35
I
36
II
34
I
3X8
41
20
36
128
8
37
14
9
10
12
6
134
66
290
159
127
368
4,419
112
786
691
323
380
102
179
1,293
43
3,672
137
493
125
167
57
153
1,851
322
107
57
108
97
108
105
76
221
58
340
69
1,037
86
563
44
246
159
156
280
2,196
90
144
582
570
168
99
206
90
133
51
70
675
410
1,094
952
385
2,126
9,941
236
1,989
1,705
1,423
2,007
158
484
3,184
195
7,852
829
1 ,032
478
215
241
654
1,825
1,011
604
72
328
171
196
365
205
380
258
870
263
3,538
407
1,288
85
728
1,065
518
883
4,889
690
439
1,604
1.91 1
550
540
665
168
597
211
218
111
31
183
46
28
377
3.621
16
198
256
254
464
20
93
1.076
II
2,726
124
129
42
28
16
129
552
71
75
42
63
33
7
79
42
77
II
90
29
902
12
399
14
87
262
49
166
1.331
50
SI
264
480
72 ,
93
45
20 .
79
61
39 .
116
Table 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggi^-
valed
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Anon*
DELAWARE
28,576
589,000
36,361
14,086
15,340
16,863
64.105
48.157
45,639
78,178
19,714
99,990
18,474
12,637
28,653
21,674
41,794
82,820
10,306
13,577
49,223
64,552
48,294
17,191
49,186
35,457
15,988
13,517
155,727
47.127
38,395
22,383
88,373
19,476
12,225
12,179
32,313
11,614
126.870
28.008
663.899
26.047
25.886
10.430
73,575
10,080
29,777
68,465
28,502
51.820
15,536
10,819
2.771
67.134
3,120
2,037
1.671
2.406
3.457
4.187
4.772
4.182
1.336
8,507
2,524
1,442
1,152
713
5,732
3,867
503
2,573
3.734
7.547
3.675
2.509
6.445
1.553
750
684
25.044
7.740
4.902
1,339
10,520
1,362
1,228
1,410
2,570
1,117
11,436
3,816
69,777
1,705
4,000
1.577
10.280
1.527
3.740
3.352
2.469
3,885
1,526
343
2,791
67,358
3,132
2,042
1,674
2,409
3,462
4,199
4,784
4,190
1,341
8,547
2,527
1,445
1,153
716
5,737
3,877
505
2,576
3,739
7,561
3,679
2,513
6,468
1,568
754
686
25,075
7,769
4,917
1,350
10,545
1,364
1,234
1,418
2,581
1.119
11,461
3,822
70,140
1,706
4,015
1,583
10,291
1,530
3,746
3,361
2,472
3.893
1.536
346
3
443
45
215
16
14
13
8
10
20
31
26
3
56
17
5
7
1
7
14
85
7.456
94
55
44
147
91
208
215
37
34
223
145
17
15
9
227
59
13
125
58
434
126
108
219
31
5
14
1,309
618
219
26
380
26
41
27
202
38
464
262
3,614
18
151
36
384
77
188
65
144
182
62
13
160
8,566
174
182
232
279
108
545
432
192
81
847
336
61
66
30
170
269
29
243
261
858
277
258
578
171
132
56
891
867
581
113
935
80
151
98
258
79
556
498
7,098
59
239
205
582
91
317
299
250
382
218
12
326
10,719
553
396
254
609
862
799
1,315
1,245
298
1,766
601
226
270
205
1,026
584
105
500
619
1,764
728
558
1,313
347
85
114
6,305
1,791
1,380
203
2,512
261
292
362
571
309
2,216
1,032
16,304
324
840
276
2,306
477
744
746
505
781
362
52
2,053
30,618
2,011
1,143
1,001
1,211
2,126
2,206
2,373
2,458
811
5,129
1,234
1,073
668
439
3,734
2,741
343
1,365
2,478
3,567
2,166
1,437
3,797
953
483
448
13,621
3,383
2,196
916
6,049
895
690
819
1,226
622
7,112
1,638
33,138
1,200
2,481
1,004
5.987
675
2,129
2,097
1,160
1,850
801
234
99
9,117
271
246
127
148
260
406
402
224
108
484
186
58
124
29
566
198
13
321
304
803
352
132
505
35
30
46
2,836
1,027
492
73
581
89
50
100
288
61
1,043
356
8,787
100
269
48
960
203
346
127
391
644
75
32
20
DISTRICT OF COLUMBIA
224
FLORIDA
12
5
3
Belle Glade
4
3
Boca Raton
5
3
4
12
12
Caoe Coral
8
1
2
5
2
2
5
40
3
3
1
3
Coral Gables
2
2
5
10
2
6
1
13
4
1
5
1
1
1
12
12
10
1
8
13
13
108
22
15
28
15
14
5
70
42
24
7
55
11
3
4
24
7
40
26
713
4
20
7
54
3
14
17
19
41
7
3
5
14
4
4
23
15
4
2
31
29
15
II
25
2
1
6
8
1
1
5
4
123
II
Holly Hill
2
Hollywood
25
6
363
,
Key West
15
1
7
1
2
1
6
Lakeland
II
Lake Wales
3
Lake Worth
6
9
3
Lauderhill
5
1
8
10
3
117
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
Larcenv
theft
Motor
vehicle
theft
FLORIDA— Continued
Longwood
Margate
Melbourne
Miaini
Miami Beach
Miami Shores
Miami Springs
Miramar
Naples
New Poll Richey
New Smyrna Beach
Niceville
North Lauderdale
Noilh Miami
North Miami Beach
North Palm Beach
North Port
Oakland Park
Ocala
Ocoee
Opa Locka
Orlando
Ormond Beach
Oviedo
Palatka
Palm Bay
Palm Beach
Palm Beach Gardens
Palm Springs
Panama City
Pembroke Pines
Pensacola
Pinellas Park
Plantation
Pompano Beach
Port Orange
Poll St, Lucie
Punta Gorda
Riviera Beach
Rockledge
Royal Palm Beach
Safety Harbor
St. Augustine
Si. Cloud
St. Petersburg
Sanford
Sarasota
Satellite Beach
Sebastian
South Daylona
South Miami
Stuart
Sunrise
Sweetwater
Tallahassee ,
Tamarac
Tampa
13.882
44.811
52,181
373,791
96.577
10.512
13.831
42,391
20.334
14,641
17,245
10,953
27,632
52,123
36,861
11,824
12,481
27,445
43,831
13,320
15,932
171,694
30,983
11,586
10,634
65,294
10,231
23,940
10,177
35,839
58,234
50,637
45.272
59,526
75,488
35,817
58,240
11,203
28,813
16,703
15,208
15,766
12,188
12,982
248.774
33,763
53,126
10,309
10,638
13,012
10,845
12,442
67,145
14,499
1 30.077
46,726
291,920
956
2,292
5.902
65,369
14,110
1,120
1,416
2,707
1,484
1,200
1,214
283
1,373
5,791
2,591
481
440
4,085
6,608
717
3,380
20,433
1.268
929
1,915
3,953
466
1,994
532
3.834
3.343
5.155
3.195
5.850
9,000
1.202
2.632
516
5.443
1.351
780
625
1.730
930
25,781
3.221
8,188
432
406
569
1.291
1.349
4.349
355
19..300
2.091
45.131
956
2,300
5,927
55,526
14,134
1,121
1,417
2,721
1,484
1,205
1,216
283
1,374
5,803
2,594
486
440
4,085
6,627
720
3,380
20,477
1,268
933
1,920
3,962
466
1,994
537
3,847
3,358
5,176
3,205
5,876
9,025
1,203
2,545
516
5,461
1,352
780
627
1,733
935
25,958
3,223
8,206
434
408
571
1,293
1,355
4,350
356
19,332
2,092
46,388
I
3
128
24
272
42
2
3
10
5
140
7
29
10
46
17
15
34
3
4
35
2
3
2
14
6
195
16
47
22
41
115
7.055
735
126
99
139
13
25
2
34
514
197
12
1
123
344
9
331
808
19
16
94
49
9
55
9
83
83
204
35
159
429
6
17
10
380
147
4
303
31
1.792
184
321
2
5
122
28
105
6
648
58
2.999
58
127
593
6,480
993
51
83
191
92
72
126
14
83
362
112
15
15
237
477
80
482
2,271
40
88
237
378
11
51
48
365
115
634
99
213
1,208
21
167
25
698
85
21
47
189
57
3,744
279
607
6
38
34
94
88
219
18
1,786
121
6.513
310
601
977
12,081
2,450
307
351
558
272
318
301
66
300
1,536
589
151
94
896
1.311
184
588
4.497
299
241
400
742
81
381
131
631
627
1.439
700
966
2.112
203
795
98
1.757
284
160
155
224
239
5.804
945
2,044
81
107
207
282
291
702
4.445
312
10.005
505
1,347
3,748
30.633
8.200
482
722
1.329
1,014
738
588
194
834
2,808
1,215
280
309
2,375
4,147
393
1.402
10,816
853
537
1.111
2,591
349
1,364
404
2,516
2,201
2,646
2.189
3,816
4.452
918
1,559
321
2.014
880
561
374
1.199
588
12,408
1,524
4,730
335
242
285
625
878
2,830
181
10,226
1,368
18,923
58
167
441
8,710
1,683
151
158
375
72
57
66
5
115
1,353
364
22
20
434
294
42
548
1,888
49
45
57
175
15
143
35
207
305
179
154
679
755
48
90
59 ,
551
69
27 .
33
54
31
1,807
171
430
8
15
31
162
59
478
62
2,032
228
7,339
118
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by Stale
Population
Crime
Index
total
Modified*
CniTte
Index
total
Murder
and non-
negligcnt
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larccny-
thef)
Motor
vehicle
theft
FLORIDA— Continiied
Tarpon Spiings
Temple Terrace
Titusv tile
Venice-
Vero Beach
West Palm Beach
Wilton Manors
Winter Garden
Winter Haven
Winter Park
Winter Springs
GEORGIA
Albany
Alpharelta
Americus
Athens-Clark County
Atlanta
Augusta
Bainbridge
Brunswick
Carrollton
Canersville
College Park
Columbus
Covington
Dalton
Decatur
Douglas
East Point
Forest Park
Gainesville
Griffin
Hinesville
La Grange
Lawrenceville
Macon
Marietta
Monroe
Moultrie
New-nan
Peachtree City
Rome
Roswell
Savannah
Smyrna
SnellviUe
Statesboro
Thomasville
Tifton
Valdosta
Vidalia
Warner Robins
Waycross
18,666
17,142
41,068
17,640
18,086
70,518
12,305
10.158
25,776
23,186
23.092
81,411
13,548
17,207
90,368
410,876
46,518
11,162
17,124
16.703
12,540
21,316
186,826
10,448
22,677
18,065
10,903
35,849
17,637
18,637
22,245
22,511
26,674
17,556
111,100
45,987
10,169
15,490
13,022
19,828
31,602
49,941
143,352
32,285
12.592
16.521
18,191
14.812
41,481
11,543
45.567
17,100
1,217
876
3.639
676
1,443
11,846
1.451
795
3.959
2.444
925
9.788
414
1.132
8.217
71.275
5.074
976
2.157
1,554
759
3,501
11,394
1.272
1.761
1.306
1.705
3.561
2.351
2.051
3.487
2.029
2.997
1.158
11.171
5.740
616
1.732
1.070
280
3,377
2,290
13,486
3,902
503
855
1,391
1,236
3,900
771
3.128
1,614
1.218
877
3,642
679
1,446
11,877
1.459
800
3.970
2.449
931
8.231
71.536
5.091
978
2.159
3.501
11.451
1.276
1.713
2.062
1.160
11.234
616
1.739
284
3.401
2.294
13.545
504
855
1.395
1.236
771
3.140
1.620
21
20
198
11
88
9
40
627
21
7
21
9
8
34
56
1
12
2
9
34
18
17
28
24
7
12
78
46
2
10
7
1
II
9
79
13
1
9
5
2
43
8
23
5
50
44
98
2
25
1.036
51
18
149
86
4
489
2
19
258
5.824
233
43
84
24
7
196
312
15
25
80
27
217
86
48
110
17
73
12
357
144
15
47
32
1
89
27
892
116
32
61
50
229
19
64
62
156
14
323
67
67
636
67
96
291
151
85
563
8
84
406
9.207
220
67
295
61
31
146
477
127
76
219
189
201
248
502
54
199
56
693
334
21
189
33
2
355
63
500
114
7
63
83
90
303
82
186
63
325
137
827
77
273
2.806
290
151
653
458
273
3.249
74
172
2.102
13.065
1.440
218
515
275
166
634
2.628
234
279
289
371
809
354
290
720
329
575
271
2.207
930
147
404
224
39
809
383
3.176
657
80
121
357
239
874
154
706
240
615
590
2.179
499
986
5.907
938
477
2.466
1.558
531
4.964
285
812
4.762
33,903
2,432
611
1,128
1,114
465
1,907
7,227
973
1,224
705
1,007
1,784
1,531
1.369
1.927
1.509
2.056
724
6.938
3.857
396
1.013
707
198
1.977
1.655
7.389
2.708
390
611
834
817
2.271
471
1.994
1.173
57
91
185
28
82
1.367
104
43
368
176
28
415
45
36
638
8.451
717
30
107
66
80
579
679
47
93
152
71
524
157
78
198
92
85
82
862
423
33
65
66
39
133
153
1.427
294
17
19
49
37
172
35
155
70
119
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily 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
Arson'
HAWAII
Hilo
38.785
875.297
10.222
133,317
19,500
26,032
46,557
29,762
10,169
19,627
30,061
48,836
15,157
29,241
32,619
11,866
18,546
33,481
76,781
99,990
19.710
16.236
18.077
46.221
16.904
21.574
41.558
14,177
14.653
19,206
37,063
28,083
17,857
38,502
14,165
27,506
32,271
23,452
10,218
14,522
64,614
20,754
2,832,901
33,651
68,616
22,838
15,700
11,012
24,940
34,420
18,662
85,354
17,630
2,757
53,558
538
7,416
1.522
2.541
2,937
1.398
508
644
2.503
2.604
704
2.431
2,775
53,826
542
7,450
1.539
2,555
2,950
1,406
512
657
2,526
2,624
705
2.452
1
31
18
326
5
84
8
18
15
9
3
2
17
23
23
1,013
6
62
11
14
13
3
5
1
32
22
67
1,012
7
369
67
144
168
22
32
6
92
140
5
116
50
10
18
130
42
556
35
26
47
25
29
75
55
17
21
9
8
99
30
186
29
122
34
107
5
62
347
17
41,080
372
444
35
35
6
18
195
7
481
3
569
9.106
81
1,102
312
382
463
222
67
49
365
325
34
475
239
43
195
657
460
1,330
152
59
182
503
101
299
221
57
96
115
96
202
253
506
127
397
175
126
7
197
1,065
183
49,046
386
706
280
106
14
83
671
46
1,417
30
1.960
38.563
408
5,501
1,057
1.906
2,192
1.089
385
572
1.888
2.006
652
1.649
988
196
704
1.956
1.566
3.854
416
389
903
1,033
1,048
952
869
320
670
276
582
1,129
716
1,799
415
1,379
886
857
108
845
.3,159
381
119,697
1,268
.302
758
333
169
849
1.918
237
3.493
270
119
3.507
31
293
67
77
85
52
16
12
108
87
12
163
73
6
183
115
94
443
17
23
116
251
71
345
99
16
76
32
10
125
92
967
7
50
44
42
6
33
201
16
44.988
647
696
91
75
61
10
102
11
160
6
18
Honolulu
268
IDAHO
Black foot
4
5
34
Caldwell
17
14
Idaho Falls
Lewiston
1
13
8
4
2
1
1
1
13
Nampa
23
20
1
16
12
10
4
26
107
19
269
5
1^
79
9
48
23
2
9
5
4
24
16
133
2
54
12
30
2i
166
5
38,448
180
94
15
16
2
5
102
4
208
I
21
ILLINOIS'
12
1
Alsip
1
6
12
33
Arlington Heights
11
14
62
Bartlett
10
2
6
2
13
4
2
1
13
2
1
2
2
1
2
5
Cahokia
6
Calumet Citv
33
Canton
3
7
1
1
10
4
Carpentersville
9
Cary
2
6
29
3
Chicago
939
5
6
1.852
Chicaeo Heiehts
11
Cicero
11
7
2
Crystal Lake
5
2
14
4
4
55
Deerfield
120
Table 8. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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-
then
Motor
vehicle
theft
ILLINOIS'— Continued
Dcs Plaines
Dollon
East Moline
East Peoria
East St. Louis
Edwardsx ille
EfTtnghain
Elgin
Elk Grove Village
Elmhurst
Elmwood Park
E\ anslon
Evergreen Park
Fain lew Heights
Freepon
Galesburg
Geneva
Glendale Heights
Glen Ellyn
Glenview
Granite City
Gumee
Hanover Park
Harvey
Hazel Crest
Herrin
Highland Park
Hinsdale
Hoffman Estates
Homewood
Jacksonville
Joliel
Justice
Kankakee
La Grange
Lake Forest
Lake Zurich
Lansing
Lincolnwood
Lisle
Lombard
Loves Park
Machesney Park
Marion
Markham
Matteson
Mattoon
Maywood
Mc Henry
Midlothian
Moline
Morton
Morton Grove
Mount Prospect
Mount Vernon
Mundelein
Naperville
54,155
24.349
20,500
21,752
41,661
14,834
12,058
78,357
34,014
42,765
23,612
74,515
21,239
14,602
26.292
34, 1 1 7
12,838
28,462
25.380
37.742
33.437
1 3.940
33.469
30.292
13.567
1 1 .046
31.110
16.309
47.376
19.615
19.661
78.182
11.331
28.058
15.631
18.148
15.208
28.578
11.563
19.853
40.098
15,731
19.366
14.798
13.366
11.576
18,763
27,613
16,460
14,623
43,958
14,040
22,800
54,101
17,284
21.586
86.846
65
34
70
15
7
495
10
120
11
17
33
262
32
13
39
16
3
6
13
13
18
15
8
433
14
3
5
1
15
14
30
251
10
248
6
3
I
25
10
1
16
13
13
24
77
25
4
306
19
52
54
62
19
1.437
9
23
256
42
18
9
264
17
15
54
65
6
38
16
20
71
13
46
329
50
12
16
3
46
21
91
501
45
346
13
3
5
21
6
12
45
30
28
24
36
26
5
316
I
24
89
II
27
54
82
19
46
333
306
156
236
868
107
121
895
181
240
90
1.276
148
149
219
377
134
92
187
159
469
67
196
1.184
142
69
98
62
243
83
580
1,312
82
937
125
16
40
139
73
93
496
251
213
257
248
56
38
682
23
154
514
60
125
288
390
80
283
1,378
1,168
544
703
1,044
406
612
2.862
996
1.103
530
3.660
852
1.014
1.267
1.372
288
738
608
786
1.172
912
833
1,763
400
202
503
171
1,132
830
1,334
4,115
213
1,852
224
125
442
978
559
506
1,902
784
782
630
185
1.089
110
1,436
418
575
2,045
237
639
1,369
718
746
2,007
127
246
17
22
931
8
23
214
105
106
112
364
154
73
54
33
3
27
34
20
95
78
52
1,318
194
14
31
8
58
101
40
771
59
356
24
8
10
369
39
40
129
35
44
42
102
176
1
7
604
29
11
107
4
89
10
7
27
141
38
34
98
121
Table 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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-
thefl
Motor
vehicle
then
ILLINOIS'— Continued
Nortnal
Norridge
Norlhbrook
North Chicago
Nonhlake
Oak Forest
Oak Lawn
Oak Park
OFallon
Orland Park
Palatine
Park Forest
Park Ridge
Pekin
Peoria
Prospect Heights
Quincy
Ranloul
Richton Park
Riverdale
River Grove
Rockford
Rock Island
Rolling Meadows
Romeoville
Roselle
Round Lake Beach
St. Charles
Schaumburg
Skokie
South Holland
Springfield
Sterling
Streamwood
Streator
Sumtnit
Taylorville
Tinley Park
Urbana
Villa Park
Warrenville
Washington
Waukegan
Westchester
West Chicago
Western Springs
Westmont
Wheaton
Wheeling
Wilmette
Winnelka
Wood Dale
Woodridge
Wood River
Woodstock
40.723
14,712
32.873
35.590
12.723
26.661
57.166
54.587
16.353
36.345
39,940
25,087
36.808
32.819
115,492
15.505
40,376
17.513
10,706
13,910
10,134
141,868
41,262
22,986
14,320
21,183
16.721
22.895
69.787
60,473
22,492
107,070
1 5,396
31,529
14,365
10,145
11,327
37,770
36,980
22,642
11,531
10,275
70,607
1 7,604
15,054
12,193
21,599
52,365
30,435
27,157
12,386
12,642
26,716
11,690
14,604
16
2
178
3
9
34
284
19
31
9
10
588
11
17
4
5
51
11
684
117
11
6
8
4
5
46
20
20
469
3
16
4
31
7
68
8
1
2
215
10
7
76
24
9
102
14
19
22
64
30
34
23
94
1.200
28
97
61
23
62
6
1,037
277
24
20
17
31
17
92
55
18
847
17
19
16
9
37
130
23
II
12
234
II
19
I
21
15
55
4
3
39
302
80
112
642
119
142
187
868
122
70
286
156
234
373
2,765
104
485
136
48
245
65
4,251
488
177
116
70
77
122
634
331
191
2,538
150
171
114
62
23
156
435
135
67
38
872
115
112
48
126
236
143
189
110
30
142
105
37
1,040
772
707
1,664
335
602
940
2,471
312
891
1,150
571
589
1,139
6,572
376
1,585
521
338
403
270
8,164
1,662
743
441
399
561
902
2,458
1,502
468
5,558
550
785
367
201
120
856
1,212
724
254
225
3.128
322
530
142
512
1,214
775
491
218
237
669
604
466
44
107 .
35
133
46 .
83
156
334
25
83
72
132
47
46
627
15
44
24
41
242
69
1,223
93
52
21
30
26
31
246
154
143
431
29
35
12
59 .
I .
67
50
65
8 .
6
279
30 .
32
7
47
39 .
32
II
6 .
30
48
34
7
122
Table 8.— Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1992 — Continued
City b> State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
ncgligcnl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
Ar^on*
INDIANA
60,722
14,110
1 3,666
61,921
25,919
20,254
32,477
15,879
13,872
18,104
11,154
34,611
44,554
128,956
176,751
15,067
119,125
24,302
11,904
26,823
18,296
86,026
24,199
16,736
493,928
10,243
22,304
45,917
44,693
21,963
12,315
17,168
33,310
11,924
34.540
43,513
20.372
37,093
18.129
18,029
10.653
29.677
39.527
20.348
107,753
13,369
58,704
24,933
20,280
12,384
11.200
26,457
47.796
18.716
28,488
3,532
679
547
2,761
650
1,809
1,815
826
876
325
279
3,381
3,670
6,560
15,841
876
12,005
1,196
320
1.260
879
7,667
1.079
635
35.858
229
1.349
2.290
2,434
1,375
179
725
2,310
576
2,969
2,837
675
2,150
1,147
666
402
1,324
1,820
731
10,628
929
3,986
932
1,358
318
716
1,035
1,514
658
1,362
3,556
682
548
2,774
652
1,810
1,818
834
881
325
279
3.385
3.713
6,609
16,017
876
12,732
1,202
320
1,260
879
7,776
1,079
636
36,129
229
1,365
2,308
2,439
1,375
180
725
2,312
578
2,978
2,863
675
2,202
1,154
667
402
1,333
1,907
732
10,690
931
3,996
933
1,365
322
729
1,038
5
41
2
2
24
4
11
18
2
4
3
98
4
5
22
5
26
29
10
1
2
4
122
110
126
533
4
829
10
1
11
11
325
9
2
2,157
2
34
36
15
10
4
14
55
2
94
38
4
16
3
3
1
12
20
3
453
22
51
3
7
2
7
5
5
1
5
183
15
8
441
36
12
129
32
9
9
7
1,083
37
501
300
28
990
101
6
7
60
911
43
123
4,028
24
250
139
55
270
15
6
175
27
129
140
16
363
23
112
16
59
13
3
476
4
309
82
18
49
2
24
21
14
105
763
100
113
366
88
216
361
104
188
76
56
568
631
1,525
2,392
131
3,061
133
53
123
62
1,189
78
72
8,102
28
257
377
428
119
22
59
447
48
589
466
93
294
236
65
68
170
388
97
3,154
102
773
94
458
70
104
120
186
59
316
2,309
520
370
1,707
493
1,438
1,234
651
659
211
185
977
2.721
4,028
10.740
678
3,277
909
240
1,060
618
3,561
813
419
15,730
168
665
1,641
1,805
927
132
629
1,505
478
1,766
2,034
487
1,389
844
461
299
919
1,310
508
5,795
717
2,638
718
805
181
551
826
1,270
576
912
133
38
49
198
24
103
43
24
15
24
27
610
129
322
1,732
32
3,593
32
20
59
128
1,612
135
16
5,212
6
129
74
115
42
6
15
99
17
360
141
75
78
39
19
18
151
75
118
602
79
178
33
66
16
42
53
24
6
21
24
3
1
3
13
Carniel
2
Clarksville
3
1
3
1
3
Conner^N ille
8
5
East Chicago
Elkhart
6
4
8
18
15
38
50
126
3
173
II
4
43
49
Fort Wayne
176
Gary
82
727
6
GrifTilh
11
1
58
109
3
541
1
11
22
12
7
1
88
271
3
1
4
16
Kokomo
18
5
La Porte
1
2
29
4
27
16
2
2
4
2
9
Mishawaka
26
1
9
2
6
52
7
Noblesville
,
Plainfield
2
3
11
11
2
130
4
32
2
4
9
87
Schererville
18
1
5
62
Speedway
2
10
Valparaiso ....
1
Vincennes
7
Wabash
4
Warsaw
10
6
8
2
3
13
1
3
IOWA
Ankeny
B«ttendorf
123
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by Stale
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
IOWA— Continued
Boone
Burlington
Davenport
Des Moines
Dubuque
Fort Madison
Indianola
Muscatine
Spencer
KANSAS
Arkansas City
Atchison
Coffey ville
Derby
Dodge City
El Dorado
Emporia
Garden City
Great Bend
Hays
Hutchinson
Independence
Junction City
Kansas City
Lawrence
Leavenworth
Leawood
Lenexa
Liberal
Manhattan
McPherson
Merriam
Newton
Olathe
Ottawa
Overland Park
Parsons
Pittsburg
Prairie Village
Salina
Shawnee
Topeka
Wichita
Winfield
KENTUCKY
Ashland
Bowling Green
Covington
Danville
Elizabethtown
Erianger
Rorence
Fort Thomas
Frankfort
12,548
27,552
96,542
195,752
58,276
11,765
11,483
23,171
11,205
24,068
41.409
44,081
12,654
18.510
16,281
18,976
16.334
26.458
479
1,921
8,801
16,502
2,302
526
319
471
303
12,995
859
10,850
457
13,152
945
14,968
561
21,515
1,779
11,713
550
25,979
1,855
24,538
2,439
15,709
988
18,091
791
40,028
2,768
10,123
715
20,980
2,049
152,511
17,190
66,810
4,068
39,199
1,790
20,053
483
34,657
1,494
16,876
1,617
38,401
2.345
12,649
311
12,037
831
17,005
596
64,512
3.428
10,861
552
113.838
4.942
12.141
688
18,099
1,579
23.609
514
43.077
3,692
38.689
1,595
122,079
12,225
309,955
28,278
12.148
485
940
3,097
4,521
629
952
666
1,376
203
1,329
16,710
2,336
17,282
1,818
3,465
4,978
12,274
944
3.106
4.521
629
953
666
1.378
204
1,333
4
1
10
4
10
4
13
20
6
5
29
3
16
178
23
17
5
10
3
21
8
82
255
I
26
237
261
16
2
16
4
15
1
14
28
5
2
17
1
42
899
64
34
8
15
II
62
7
6
9
34
32
369
I,. 340
5
55
1,097
614
90
13
4
7
4
55
37
76
25
98
14
86
157
82
23
177
54
156
1,509
207
130
19
81
64
135
15
50
22
314
38
205
39
81
19
126
91
1,168
1,130
II
57
275
817
94
75
82
59
II
147
48
362
1,833
1,927
397
61
35
106
21
204
91
290
79
645
119
314
369
215
139
713
162
271
4.198
785
311
140
291
421
366
64
145
100
523
131
1.249
184
283
138
504
359
3,627
6,514
89
224
639
1,075
94
172
82
167
52
215
415
1,380
5,211
12,926
1,665
437
262
340
266
571
303
520
439
938
397
1,369
1,758
650
602
1,768
482
1,503
8,221
2,853
1,248
289
1,059
1,031
1.756
219
560
451
2,402
371
3,133
437
1,164
327
2,924
1,024
6,523
16,169
370
578
1,937
2,196
421
660
480
1,041
128
878
94
354
674
118
II
18
16
11
22
23
33
10
72
15
58
105
30
20
63
13
59
2,125
133
49
21
40
83
54
10
57
18
139
7
269
21
34
18
81
81
448
2,840
13
50
158
243
14
27
16
68
8
61
124
Tabic 8. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by State
Population
Crime
Index
total
Modined*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Lareeny-
then
Motor
vehicle
then
KENTUCKY— Continued
Georgetown
Glasgow
Henderson
Hopkinsville
Independence
JefTersoniown
Lexington
Louisville
Madisonville
Mayfield
Middlesboro
Muiray
Newport
Nichoiasville
Owensboro
Paducah
RadclilT
Richmond
Si. Mallhews
Shively
Somerset
Winchester
LOUISIANA
Alexandria
Baton Rouge
Bogalusa
Bossier City
Crowley
De Ridder
Gretna
Harahan
Houma
Jennings
Kenner
Lafayette
Lake Charles
Monroe
New Iberia
New Orleans
Pineville
Shrevepon
West Monroe
Westwego
MAINE
Auburn
Augusta
Bangor
Bath
Biddeford
Brunswick
Gorham
Lewiston
Orono
Portland
11,629
12.583
26,4.t5
30.372
10.641
23.659
229,628
274,312
16,505
10,122
11,542
14,711
19,227
13,860
54,561
27.770
20.145
21.555
16.098
15.828
10.935
16.097
49.968
237,390
14.506
53.558
14.204
10,023
17.480
10.084
37.853
11,483
73,176
95,939
71,700
55,780
32,332
505,008
12,444
201,676
14,318
11,396
23.800
21.435
31.342
10.896
21.221
21,026
11,924
39.251
10.633
62.460 1
808
151
2,350
1,465
254
657
14.782
18.642
1.342
456
91!
320
1.616
618
2.610
3.430
604
1.588
819
600
571
573
6.345
33.853
1.394
3.680
1.081
557
1,739
431
2,115
939
6,928
8,658
5,685
7.277
1.772
50.441
776
21,325
1,392
884
722
1,310
1,758
470
1,156
459
192
2,228
150
7,077
810
152
2,360
1,475
254
657
14,819
18,943
1,349
456
917
322
1,622
618
2,617
3.432
606
1.588
819
600
572
576
6.398
34,043
1,399
3.696
1,081
558
1,741
433
2,122
945
6,928
8,681
5,696
7,277
777
21,473
1,397
884
722
1,320
1,775
473
1,192
462
193
2,240
150
7,167
1
8
17
18
18
1
279
1
47
1
1
12
II
2
8
151
120
16
3
2
3
16
5
15
24
18
9
5
6
2
I
53
169
9
26
4
6
9
3
26
9
48
54
56
40
10
287
5
136
7
5
17
525
1,241
4
3
49
3
36
196
10
31
24
50
3
5
106
1,656
33
79
10
3
121
6
106
13
207
256
196
135
35
5,341
756
10
40
174
5
546
168
10
51
1,283
1,567
147
110
66
26
207
122
73
766
30
283
34
42
58
55
1,569
4.283
121
381
141
33
154
12
397
139
794
547
541
1.016
49
4.100
10
1.576
78
78
109
42
317
342
82
72
2,831
4,181
234
108
216
68
428
81
498
615
164
227
103
126
77
59
1.004
6,784
435
511
193
152
412
53
352
137
1,091
1,527
1,372
1,307
385
10,967
228
4,278
163
178
8
134
519
6
225
991
33
254
1,352
4
41
409
7
221
863
12
62
374
6
59
no
32
596
1.487
2
16
129
303!
1,713
476
85
1,366
857
150
474
9,319
8.796
880
208
598
211
823
384
1.855
1.710
364
939
608
283
412
426
3,342
16.794
738
2,408
704
346
883
341
1,119
625
3,778
5,653
3,108
4,406
1,206
20,343
515
12,829
1.043
492
27
15
79
47
10
34
655
2.698
56
18
25
4,515
9
93
23
133
114
17
97
45
93
19
1
27
3
259
53
4.109
190
51
5
271
16
29
15
1
160
2
15
2
107
7
15
6
1.002
604
23
394
II
355
86
9,124
17
1
1,703
148
90
5
90
47
67
10
79
17
15
3
39
36
9
3
12
1
57
1
12
388
90
125
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
MAINE— Continued
Presque Isle
Saco
Scarborough
South Portland
Waterville
Westbrook
Windham
MARYLAND
Aberdeen
Annapolis
Baltimore
Cambridge
Cumberland
Frederick
Greenbelt
Hagerstown
Hyattsville
Laurel
Salisbury
Takoma Park (Montgomery County) . .
Takoma Park (Prince Georges County)
Westminster
MASSACHUSETTS
Acton
Amesbury
Andover
Arlington
Auburn
Barnstable
Bedford
Belchertown
Bellingham
Belmont
Beverly
Boston
Bourne
Braintree
Bridgewater
Brockton
Brookline
Cambridge
Chelmsford
Clinton
Danvers
Dartmouth
Dedham
Dennis
Dracut
Duxbury
East Bridgewater
East Longmeadow
Easton
Everett
Fall River
Fitchburg
10,620
15,564
12,590
23,026
17,480
15,574
13,094
13,432
34,064
755,517
11,818
24,333
41,210
21,653
36,382
14,230
19,952
21,136
12,238
4.901
13,413
17,816
14,950
29,061
44,492
14,958
40,823
12,955
10,546
14,830
24,644
38,077
572,822
16.014
33.732
21,182
92.503
54,549
95,508
32,283
13,181
24,099
27,159
23,708
13,821
25,515
13,851
11,069
13,325
19,745
35,590
92,418
41,067
235
723
420
1,389
1,266
651
517
820
2,919
90,114
992
1,599
2,720
1,217
1,845
1,111
1.180
3,015
679
516
1,072
446
492
1,059
806
650
2,392
147
232
259
379
1,471
56,399
926
1,692
435
8,293
2,433
5,961
1,134
425
1,253
1,551
915
711
1,189
127
370
533
621
1,962
5,548
2.836
235
724
420
1,391
1,268
659
518
823
2,959
90,637
994
1,600
2.739
1.867
3,027
1,081
453
492
1,059
813
651
2,392
147
232
289
381
1,474
930
1,706
435
2,435
1,134
426
1,253
1,551
922
714
1,189
128
371
538
621
5,634
2,847
2
335
73
31
749
2
II
537
6
2
18
190
12,263
23
12
83
55
46
63
49
149
55
50
24
I
7
7
23
I
2
3
5
20
4,765
4
34
390
124
286
7
3
7
26
10
4
70
272
!.452
127
210
361
67
188
54
35
262
35
22
49
84
110
54
121
41
648
7
26
24
7
33
6.297
65
98
35
695
194
551
94
41
48
111
69
38
53
3
37
23
45
528
465
334
36
187
126
56 1
89
313
114
1.205
132
1.070
116
483
104
365
138
609
16,298
211
290
458
105
371
221
163
593
132
88
173
68
106
124
175
102
628
50
96
89
73
601
8,718
327
263
100
2,555
452
866
193
73
137
224
101
279
268
31
87
113
238
334
1,254
769
552
1,693
40,717
599
1.022
1,670
736
1,130
575
818
1,869
384
269
774
269
222
719
404
428
930
71
100
102
277
660
24,598
467
915
234
2.140
1.307
3.336
691
284
824
948
502
353
511
86
186
345
245
657
2.787
1.326
34
122
11.300
24
56
122
250
91
188
107
110
73
81
45
20
54
157
96
71
137
17
8
34
IS
146
11.411
57
380
62
459
348
2
887
149
24
1
"•V
T^S
229
7
35
3
347
7
1
53
1
46
5
83
378
826
285
126
Table 8. — Number of OfTenses Known to (he Police, Cities and Towns 10,000 and over in Population, 1992 — 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
Larccny-
Ihen
Motor
vehicle
then
MASSACHUSETTS— Continued
FoxboiT5
Framinghain
Franklin
Gardner
Gloucester
Greenfield
Harvard
Har» ich
Haverhill
Hingham
Holbrook
Holliston
Hudson
Hull
Ipswich
Law rence
Leicester
Leominster
Lexington
Longmeadow
Ludlow
Lynn
Lynnfield
Maiden
Marblehead
Marlborough
Marshfield
Maynard
Medfield
Medford
Melrose
Melhuen
Middleboro
Milford
Milton
Nalick
Needham
New Bedford
Newion
North Adams
Northampton
North Andover
North Atlleboro
Northboro
Northbridge
North Reading
Norton
Norwood
Oxford
Peabody
Pembroke
Pepperell
Pillsfield
Plymouth
Quincy
Reading
Salem
14.591
64.789
::,o:7
20.062
28.627
18.608
12.291
10,24.-!
51.259
19.759
11.006
12.886
17.179
10.433
11.835
69.991
10.159
38.027
28.884
15.419
18.762
80.995
11.238
53.718
19.909
31.715
21.465
10.292
10.498
57.230
28,063
39.867
17.811
25.277
25.645
30.416
27.472
99.615
82.332
16.745
29.198
22.721
24.961
11.891
13,329
11,964
14,220
28.611
12.549
46.894
14.498
10.066
48.472
45.467
84.694
22.469
37.973
517
2.955
328
636
1.156
1.297
35
.387
3.169
500
333
170
276
353
303
7.121
249
1.644
443
339
507
6.216
163
2.314
438
860
586
115
151
2.250
483
2.736
873
304
468
850
468
6.443
2.245
721
1.260
866
1.281
221
368
307
408
778
320
2.233
409
233
1.944
1.924
3.844
341
2.087
517
2.958
328
636
1.157
1.298
35
398
3.210
500
335
171
278
353
303
7.258
249
1.648
447
339
509
6.216
164
2.315
439
862
587
115
151
2.263
484
2.748
878
306
468
850
469
6.542
2.270
722
1.264
868
1.281
222
369
309
408
829
324
2.238
409
234
1.944
1.927
3.864
341
2.088
1
2
1
343
1
23
6
4
2
340
1
87
4
3
1
30
13
27
I
5
17
3
2
365
20
3
20
1
55
526
48
112
335
224
21
265
15
19
16
99
II
1.273
40
132
2
21
94
998
6
424
22
171
52
6
11
414
1
118
148
2
37
53
33
956
117
91
140
28
137
36
91
21
36
76
59
56
36
77
192
354
224
36
81
155
540
24
172
222
294
20
124
895
111
102
23
75
137
56
1.910
99
307
82
23
118
1.447
40
532
123
154
100
31
33
372
103
476
169
90
81
114
1.833
474
138
212
127
151
61
51
50
113
167
82
420
83
35
643
485
968
107
677
255
1.597
236
304
494
666
13
231
1.333
355
141
119
165
96
207
1.507
96
998
338
270
217
2.238
69
822
273
463
393
58
97
1,079
308
1,167
478
138
269
566
319
1,878
1.405
444
719
604
811
105
206
190
227
424
148
1,325
257
106
937
946
1,823
161
988
41
224
12
36
101
89
2
580
41
28
64
2
7
1
12
2
16
26
2.044
137
8
175
4
14
4
21
74
2
1.185
47
1
436
1
15
1
66
2
37
1
16
7
344
13
58
1
933
12
74
5
68
2
62
107
26
1
1,354
99
216
25
34
1
149
4
102
2
157
16
1
6
1
43
2
26
98
51
29
4
388
5
27
15
1
118
104
3
725
20
32
305
1
127
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
Populalion
Crime
Index
lolal
Modined'
Crime
Index
total
Murder
and non-
negjigent
man-
slaughter
Forcible
raise
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS— Continued
Sandwich
Scituate
Sharon
Somerset
Somerville
South Hadley
Springfield
Stoughlon
Sudbury
Swampscott
Swansea
Taunton
Tewksbury
WalieHeld
Walpole
Wailham
Westborough
Weslfield
Westford
Weston
Weslport
West Springfield
Westwood
Weymouth
Wilbraham
Winchester
Woburn
Worcester
Yarmouth
MICHIGAN
Adrian
Albion
Allen Park
Alpena
Ann Arbor
Auburn Hills
Battle Creek
Bay City
Benton Harbor
Benton Township
Berkley
Berrien Springs-Oronoko
Beverly Hills
Big Rapids
Birmingham
Blackman Township
Bloomfield Township
Bridgeport Township
Brownslown Township
Buena Vista Charter Township
Burton
Cadillac
Chesterfield Township
Clawson
Clay-Algonac
Clinton Township
15,441
16,734
15,469
17,600
75,976
16,633
156,501
26,694
14,313
13.607
15,363
49,679
27,181
24,748
20,149
57,700
14.089
38,253
16.341
10.168
13.809
27.452
12.518
53.896
12,596
20.204
35,832
169.238
21,108
22,433
10,218
31,565
11.526
111.263
17.335
54.355
39.529
13.013
17.424
17,217
11.924
10.770
12,794
20,301
20,804
43,120
12.940
19.097
11,065
28,037
10,258
26.299
14.085
13.616
87.174
445
214
121
545
2.783
263
17.352
822
169
309
389
2.124
982
531
378
1,792
387
1,919
326
120
319
2,647
241
1,797
344
291
2.154
11.791
1.023
1.154
574
1.027
670
6,301
1,184
5,476
1,995
2.672
2.659
465
333
290
746
672
594
1.315
352
976
1.173
1.998
655
1.373
429
301
3,616
455
218
121
546
2.793
263
17,504
824
169
309
421
2.127
986
533
379
1.793
387
1.936
326
120
321
2,665
242
1,803
344
292
2,170
1,023
1.157
578
1.030
689
6,346
1.187
5.513
2.015
2.715
2.668
339
291
746
595
1,323
352
986
1,185
2,010
659
1.374
431
301
3.633
2
1
2
12
5
161
4
1
112
6
3
2
96
2
823
18
2
42
1
41
1
4
31
448
6
6
13
19
2
161
26
217
45
137
56
6
1
6
3
73
57
13
3
16
480
23
3.550
37
18
6
15
198
136
22
43
96
19
301
30
3
26
209
6
289
20
8
86
718
77
384
100
587
132
726
190
20
25
8
21
14
12
32
25
91
100
91
49
26
25
3
218
105
72
40
91
554
52
3.839
203
36
118
39
505
169
177
63
452
91
483
72
10
84
495
45
365
79
50
622
4,333
315
128
86
128
131
1.164
203
1.213
361
620
485
53
74
38
83
81
73
159
72
163
196
352
57
178
62
44
641
260
117
63
366
907
154
5.244
398
110
175
211
981
496
243
217
1,069
223
949
199
104
155
1,385
160
812
178
198
829
4,774
560
925
405
696
507
4.256
716
3.074
1.319
998
1,768
343
221
227
619
540
473
1.019
243
610
789
1.328
521
1.050
297
247
2.353
20
9
11
68
733
27
3,722
162
4
7
119
388
167
74
49
146
46
128
24
2
52
508
28
272
66
28
576
1,393
59
36
12
154
15
285
116
308
103
158
128
39
9
10
13
28
23
79
10
93
46
157
24
95
35
3
298
128
Table 8. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
Larxreny-
then
Motor
vehicle
theft
MICHIGAN— Continued
Clio-Vienna
Davison Township
Deart)om
Deai^om Heights
Detroit
De Wilt Township
East Grand Rapids
East Lansing
East Pointe
Ecorse
Emmelt Township
Escanaba
Farmington
Farmington Hills
Femdale
Flint
Hint Township
Fraser
Garden City
Genesee Tow-nship
Grand Blanc Township
Grand Haven
Grand Rapids
Grandville
Green Oak Township
Grosse Pointe Farms
Grosse Pointe Park
Grosse Pointe Woods
Hamburg Township
Hamtramck
Harper Woods
Hazel Park
Highland Park
Holland
Huron Township
Jackson
Kalamazoo
Kalamazoo Township
Kentwood
Lansing
Leoni Township
Lincoln Township
Lincoln Park
Livonia
Marquette
Melvindaie
Midland
Monroe
Mount Clemens
Mount Morris Township
Mount Pleasant
Mundy Township
Muskegon
Muskegon Heights
Muskegon Township
Niles
Niles Township
16.079
14.893
90.647
61,764
1.044.128
10.606
10.971
51.449
35.820
12.365
10.927
13.866
10.286
75.789
25.466
142,906
34,600
14.110
32.331
24.459
25.778
12.132
192.008
15.862
11.780
10,244
13,052
17,984
13,282
18,651
15.129
20.355
20,427
31,212
10,605
38,016
81,500
21,295
38,401
129,259
13,639
13.811
42,469
102,387
22.311
11.386
38,630
23.251
18.684
25.582
23.639
11,686
40.897
13.376
15.534
12,647
13.023
788
336
6.886
3.274
117.246
346
302
2.167
2,135
681
595
729
455
2.920
1.696
18.738
2.943
738
1.338
1,112
974
770
17,015
650
283
343
432
384
307
2,342
2,084
1,690
3,035
1,960
352
4,006
8,020
898
2,049
9,257
489
386
2,377
4.508
737
920
1.115
1,179
1,621
1,532
954
538
5,368
1,804
850
866
311
792
3.36
6,904
3,278
118,584
346
305
2.172
2.139
690
606
729
457
2.933
1.704
19.101
2.959
740
1.347
1.131
976
773
17,141
651
286
343
436
385
308
2.352
2.085
1,706
3,059
1,968
358
4,035
8,092
902
2,052
9,356
491
389
2,381
740
921
1,126
1,190
1,625
1,541
961
538
5,397
1,815
853
872
313
3
595
4
3
18
46
1,225
3
1
45
11
12
5
5
2
9
28
238
28
4
8
14
6
I
413
7
2
1
I
7
26
3
17
71
18
5
73
61
15
15
184
7
10
3
173
112
12,194
3
39
58
955
62
6
16
19
4
5
756
6
2
2
10
8
179
28
49
314
14
5
79
307
15
27
312
2
67
101
2
36
4
22
55
57
4
7
129
53
6
11
2
94
13
340
134
12.433
18
4
73
246
92
35
2
25
134
133
2,510
117
47
62
120
51
22
1,858
4
10
6
9
9
16
281
7
200
494
110
33
1,157
1,255
76
94
1,279
29
29
133
174
18
30
38
111
152
109
25
24
462
220
11
61
8
117
94
652
501
22,048
66
45
220
189
159
157
62
52
540
253
4,388
341
60
176
284
196
104
3,777
188
65
18
51
26
57
439
67
243
504
173
98
520
1.608
151
316
1,488
81
72
345
706
50
177
85
186
281
380
126
89
1.642
376
161
152
65
525
192
4.985
2.035
41.407
233
247
1.604
1.374
305
349
626
348
1.987
1,023
8,186
2,159
570
993
563
622
617
9,090
411
177
302
310
301
213
996
1.743
934
1,022
1,555
169
1.963
4.382
597
1.487
5.253
359
260
1.511
3,012
636
527
947
780
1,010
641
761
377
2,744
991
647
590
216
36
31
712
443
27,344
23
5
204
249
77
37
34
23
211
200
2,409
236
51
83
111
95
19
1.108
34
27
14
50
39
14
416
235
245
611
40
214
405
43
107
734
12
23
313
498
20
147
26
64
106
318
23
37
358
136
18
38
13
129
Table 8. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cm bv Stale
Populalion
Crime
Index
total
Modined*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Bursary
Larceny-
then
Motor
vehicle
then
MICHIGAN— Continued
Northville Township
Norton Shores
Novi
Oak Park
Oscoda-Ausable Township
Owosso
Piltsfield Township
Plyitiouth Township
Ponliac
Portage
Port Huron
River Rouge
Riverview
Romulus
Roseville
Royal Oak
Saginaw
Saginaw Township
St. Clair Shores
Sault Sle. Marie
Shelby Township
Southfield
Soulhgale
Sterling Heights
Sturgis
Summit Township
Sumpter Township
Taylor
Thomas Township
Traverse City
Trenton
Troy
Van Buren Township
Walker
Warren
Wayne
West Bloomfleld Township
Westland
White Lake Township
Woodhaven
Wyandotte
Wyoming
Ypsilanli
MINNESOTA
Albert Lea
Andover
Anoka
Apple Valley
Austin
Bemidji
Blaine
Bloomington
Brainerd
Brooklyn Center
Brooklyn Park
17.576
22,086
33.501
30,926
14,486
16,570
17,937
24,007
72.250
41,666
34,207
11,486
14,105
23,246
52,195
66,406
70,571
38,257
69,144
14,912
49,396
76,882
31.239
119,606
10,284
21,451
11,056
71,889
11,137
15,385
20,898
73,994
21,330
17,542
147,071
20,201
55,346
86,015
22,951
1 1 ,807
31,408
64,864
25,224
18.748
15,579
17,603
35,427
22,432
11,514
39,909
88,405
12.648
29,578
57.732
651
821
1.903
2.349
326
810
1,667
532
6.381
2,295
2,133
1,078
342
2,221
3,774
3,008
7,557
1,650
3,034
788
1,607
6,045
1,729
4,573
461
413
369
5,095
397
843
463
3.573
1,314
1,183
7.463
1,382
1,479
4,762
808
705
1,135
3,673
1,674
842
508
1,028
1,042
1,122
1,259
2.462
4,576
1,193
2,546
3,103
653
823
1,912
2,354
329
815
1,678
532
6,423
2,308
2,154
1,099
344
2,233
3,783
3.019
7,788
1,657
3,056
792
1,614
6,056
1,738
4,596
469
415
372
5,129
401
851
466
3,597
1,317
1,185
7,494
1,396
1,490
4,799
812
708
1,135
3,686
1.680
846
513
1.035
1.057
1,124
1,263
2,473
4,596
1,194
2,562
3,118
16
34
22
10
172
5
5
10
12
38
19
31
9
7
6
62
1
II
4
15
16
95
1
3
30
4
434
12
48
44
4
54
63
71
493
22
28
5
13
184
36
39
4
3
2
135
2
5
5
25
18
14
169
41
15
83
6
6
28
58
161
16
73
80
8
1,409
84
232
109
5
135
184
131
1,397
52
103
16
56
419
83
256
44
28
24
253
10
24
15
163
81
22
598
no
III
296
43
34
29
211
243
33
19
29
37
29
39
34
96
42
53
216
92
116
172
329
94
153
202
85
1,375
251
399
185
47
354
396
366
1,930
217
435
122
227
995
208
512
80
87
95
705
53
107
61
573
166
131
959
198
202
727
142
54
137
646
361
97
142
174
156
150
68
285
667
156
287
542
477
623
1,478
1.434
196
540
1,242
399
2,231
1,874
1,294
540
264
1,231
2,705
2,145
3,268
1,300
2,174
604
1,198
3,195
1,128
3,401
308
272
201
3,098
316
676
343
2,413
906
974
4,136
875
1,095
3,031
570
550
882
2,483
858
678
323
756
802
890
1,041
2,014
3,399
898
1,941
2,032
67
36
167
306
10
25
106
33
827
55
105
181
22
410
401
285
277
51
289
30
101
1,210
254
332
16
16
41
837
14
20
35
390
125
36
1,470
134
47
575
37
59
79
228
91
31
17
55
33
44
92
98
347
81
217
236
130
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
CilN by Slaic
Population
Crime
Index
lotal
Modified*
Crime
Index
lolal
Murder
and non-
negligenl
man-
slaughter
FoTxrible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
MINNESOTA— Continued
52,517
17.252
12,012
11,610
11,145
19,363
54,248
23,484
24.357
87.542
48,545
40,253
47,174
11,409
11,534
17,494
12,657
29.013
21,473
15,814
18,477
16,930
11,798
23,015
25,449
32,231
39,663
31,695
12,310
377.345
49.529
33.069
12,841
22,738
22,376
1 3,446
15,034
10,407
12,672
18,814
19,850
52,109
11,756
12,705
15,496
36,565
14,740
72,441
34,287
49,980
44.836
278.762
10.142
12.019
25.175
10.648
20,680
2,742
589
204
468
600
1.338
2.755
960
943
5.181
1.912
1.510
1.790
475
576
1.089
705
1.943
746
600
298
786
637
903
1.038
2.089
1.161
2.253
444
41.898
1.787
1.862
595
814
709
426
535
255
450
864
656
1.899
438
513
779
1.899
823
3.509
2.486
2.949
2.171
21.398
372
764
269
281
844
2.756
591
204
475
601
1.357
2.775
963
945
5.214
1.922
1,516
1.795
477
580
1.097
706
1.950
749
603
298
794
640
908
1.061
2.102
1.164
2,258
445
1,796
1,869
597
825
710
426
537
258
456
866
659
1,950
439
513
783
1,906
825
3,515
2,491
2,963
2,182
21,588
374
768
269
281
850
18
3
3
2
8
14
8
9
46
9
9
4
4
4
6
4
9
30
2
39
27
5
10
31
54
69
42
24
249
45
36
19
15
11
23
20
43
9
21
2
21
15
32
35
33
24
53
14
2.464
28
34
35
11
31
9
12
2
16
35
14
60
3
11
30
110
30
90
25
95
53
1.514
13
26
325
93
28
75
73
242
408
104
152
963
300
212
280
62
76
227
101
300
149
115
45
122
72
191
178
328
202
330
47
9.307
445
235
74
169
130
63
49
20
73
159
94
348
32
123
107
387
126
743
276
379
385
4.661
79
104
40
59
106
2.176
444
162
361
449
912
2.093
775
685
3.573
1.447
1.161
1,391
353
452
762
551
1,487
509
434
230
559
517
586
773
1,585
862
1,683
362
21,223
1,221
1,510
439
563
489
339
423
218
332
623
514
1,394
360
331
578
1,127
555
2.468
1.959
2.225
1.568
11,732
246
574
215
205
602
154
20
8
17
43
91
142
25
54
283
95
77
80
41
31
69
28
89
67
26
19
68
26
80
50
113
57
149
17
5,169
73
70
29
63
40
14
46
12
21
39
29
79
39
42
50
198
89
160
186
208
127
2,386
27
41
10
9
73
14
2
Chaska
2
2
31
25
6
19
65
15
15
16
7
Cloquei
1
19
4
20
3
2
2
1
33
10
6
5
Elk River
2
1
2
1
15
11
12
8
2
12
4
26
4
8
1
Fridiev
7
Golden Vallev
1
3
3
1
4
6
6
3
8
3
5
23
1
17
12
12
4
600
9
8
14
2
2
1
5
2
5
3
2
9
1
5
9
15
4
15
8
17
10
237
13
3
5
Marshall
1
Minneapolis
60
1
1
3.075
10
4
4
6
17
9
7
2
11
New Hope
1
New Ulm
2
North Mankato
1
3
5
3
9
3
1
5
62
19
31
32
23
28
835
7
11
3
3
North Si Paul ...
6
2
3
Plymouth
51
Prior Lake
1
4
Richfield
7
Robbinsdale
2
Rochester
2
6
Roseville
5
St. Cloud
2
14
St. Louis Park
11
St. Paul
33
190
2
8
1
3
4
4
Shoreview
5
46
South Si. Paul
2
11
6
131
Table 8. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
l-arceny-
theft
Motor
vetticle
theft
Arson*
MINNESOTA— Continued
14.214
11.305
19,709
25,295
17,951
26.007
20.556
10.215
11,251
22,192
24,175
45,942
19,205
11,035
41,420
42,545
199.964
19,125
11.774
41.685
18.119
14.890
10.141
26.309
10.800
11.899
18.749
31.171
21.238
19,106
22.139
11.083
18,419
12.634
40.748
18.042
34.948
10,905
38,554
14.078
70.125
11.399
12.486
10.506
22.616
51.965
10.181
26.631
25.336
18.269
15.550
113,967
652
203
1.285
1.094
1.083
1.443
812
376
184
782
1.351
4.881
2,025
1.124
3.704
3.770
26.147
2,046
1,057
2,003
1.266
700
525
3,061
599
873
1,387
2.791
1.873
1.015
385
587
641
792
1.625
1.252
2.535
493
1.082
679
4.893
538
415
606
1.130
1.476
661
745
1.098
1.131
881
7.212
656
203
1.287
1,094
1.087
1,445
819
378
185
785
1,358
4,929
2,031
1,128
3,723
3,782
26.284
2.054
1.058
2.013
1.293
707
526
3.069
599
874
1,389
2,791
1,873
385
797
1,633
1.252
495
1.087
685
4.931
416
1.136
1.483
751
1.106
1.135
7.249
1
1
1
1
20
9
4
5
5
1
3
13
29
92
30
40
96
65
1.249
38
31
66
36
4
7
148
6
24
34
61
55
12
2
8
6
41
19
34
31
7
7
13
137
14
7
4
43
35
7
21
59
II
17
155
29
79
31
104
229
139
106
194
41
67
256
246
1,972
629
257
784
981
7,492
484
292
491
394
159
71
713
124
119
217
596
647
140
75
60
105
177
281
219
357
120
240
173
667
57
62
97
218
252
141
168
288
236
147
1,453
522
154
1.023
771
858
1.269
581
307
88
479
963
2.443
1,179
606
2,257
2.230
12.020
1.353
637
1.172
662
475
401
1,761
385
667
920
1,880
936
722
280
473
449
360
1,162
827
1.979
346
773
421
3.585
433
296
458
646
1,045
459
451
491
760
556
4.369
19
17
104
59
49
43
21
10
II
24
46
217
134
31
268
109
4.061
112
29
184
61
31
17
180
39
49
61
206
92
27
15
42
41
127
85
124
75
10
28
40
169
27
41
19
154
86
20
37
196
47
114
812
Vadnais Heights
West St Paul
3
2
10
2
3
3
1
3
18
35
13
II
43
34
210
17
1
15
5
9
4
20
1
1
7
15
18
8
2
1
3
8
12
7
11
3
2
3;
1
31
24
23
17
8
13
14
7
47
104
33
177
248
347
1.052
33
64
67
102
22
24
232
44
13
146
31
118
106
II
3
36
74
66
39
77
7
31
30
301
6
9
13
59
49
29
62
55
64
41
398
Willmar
1
Woodbury
Worthinglon
1
MISSISSIPPI
2
18
7
2
8
4
63
9
3
8
6
Greenville
48
Gulfport
19
12
Jackson
137
10
27
Oxford
1
7
Starkville
2
2
7
MISSOURI
Belton
1
5
5
8
2
5
Cape Girardeau
2
Chesierfield
1
1
3
5
6
38
1
Excelsior Springs
1
14
10
8
4
6
8
12
2
24
6
Florissant
1
1
7
Fulton
Gladstone
6
1
1
4
1
8
Hannibal
4
37
132
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by SMIc
Population
Crime
Index
total
Modified'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
as&aull
Burglary
Larceny-
theft
Motor
vehicle
then
MISSOtRI— ConHnued
JefTerson City
Jennings
Joplin
Kansas City
Kirksvilie
Kirkwood
Lebanon
Lees Sumtnit
Maplewood
Marshall
Mainland Heights
Mai^ville
Mexii^o
Moberly
OTallon
Overland
Poplar BlufT
Raytown
Richmond Heights
Rolla
St. Charles
St. Joseph
St. Louis
St. Peters
Sedalia
Sikeston
Springfield
University City
Warrensburg
Washington
Webster Groves
MONTANA
Billings
Havre
Missoula
NEBRASKA
Beatrice
Beilevue
Columbus
Fremont
Grand Island
Hastmgs
Kearney
La Vista
Lincoln
Norfolk
North Platte
Papillion
NEVADA
Boulder City
Henderson
Las Vegas Metropolitan Police
Department Jurisdiction
Reno
36.006
16,140
41,567
441,162
17,406
27,695
10,130
47,106
10.109
12,898
25,783
10,820
11,457
13.028
18.974
18,253
17.247
31.054
10,602
14,298
55,364
72,917
402,573
46,458
20.093
17.902
142.578
40.681
15,469
10,862
23,327
83,731
10.519
44.256
12,569
31,523
19,820
24,094
40,074
23,236
24,821
10,012
195,329
21,850
23,000
10.553
13,875
71,705
678,385
147.790
1.674
1.306
3.964
55.033
736
704
448
1.391
692
266
1,146
262
215
713
722
1,130
1,214
1.107
1.172
561
2,229
4,397
59,579
2.136
1,302
1,167
10.916
2.699
447
545
438
6.747
604
3,742
526
1.498
805
977
2,917
859
1.272
377
14.818
1,090
1,555
200
377
2.974
49,880
11,766
1,316
3,994
55.541
736
707
458
1.409
700
1.168
262
218
1.134
1.214
1.108
1,174
563
4.443
60.514
1.302
1,170
11,020
2,714
6.762
604
3,745
526
1,501
806
987
2,917
863
1,281
378
14,868
1.092
1,563
203
379
2,999
50,282
11.857
1
6
150
2
231
12
6
13
564
8
5
5
14
3
3
6
6
3
4
6
9
2
3
14
23
349
10
9
11
61
22
1
3
1
109
9
6
1
26
56
48
4,494
3
16
2
14
29
2
II
1
4
6
3
28
20
31
34
6
51
48
4.936
25
14
28
165
101
7
4
10
16
3
4
28
7
2
4
136
5
5
69
27
107
7.386
9
23
17
32
37
3
27
7
18
116
42
62
66
40
40
21
84
288
7.731
274
99
29
415
109
6
44
34
3
13
5
10
53
10
27
9
981
24
57
5
254
239
761
12,551
132
122
101
347
93
57
240
36
77
77
92
163
178
240
101
115
463
880
12,303
264
268
301
1,961
709
87
66
103
1,175
62
322
66
198
77
180
513
116
232
46
2,211
177
217
13
84
393
130
3.609
413
35
100
1,926
482
105
749
10.337
1.852
1.253
791
2.865
21.846
559
498
286
898
473
192
736
215
107
498
561
811
866
644
905
395
1.466
2,943
25,600
1,483
884
745
7,842
1,447
330
410
274
5,017
495
3.152
440
1.216
686
746
2,229
694
956
312
10,986
855
1.207
173
204
1.605
26.116
8.301
60
186
164
i.042
25
39
34
85
55
9
122
2
9
10
20
60
73
142
89
21
147
213
!,429
80
28
50
464
307
16
17
16
362
31
149
11
47
31
37
79
30
44
6
388
20
61
29
336
7.400
575
133
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
Anon*
NEVADA— Continued
58,924
12,581
11,841
13,923
36,062
29,649
25,081
11,835
12.500
14.644
19.560
22.465
15.767
12.201
19.811
99.778
22.190
11,812
79,786
26.672
25,786
11.265
17.166
16.926
38.274
12.327
61.911
34.473
12.698
24.643
12.070
37.603
17,329
45,403
10,970
66,978
19,086
32,756
11.439
12.548
88.157
19.169
12.144
69.875
14.693
14.739
20.547
72.287
10.897
15,405
22,804
13,277
3,902
150
179
582
1,721
1,314
816
230
327
339
458
1,277
820
620
546
5.773
355
448
2,648
890
1,637
427
601
1,464
12,952
299
2,211
1,726
311
604
169
795
286
2,151
183
1,932
1.775
986
472
657
13.038
631
358
3.478
478
296
413
2.990
133
722
586
408
3.953
150
179
586
1.737
1.378
818
234
330
340
461
1,291
849
626
552
5,804
358
450
2,671
900
1,638
429
607
1,466
13,055
303
2,216
1,728
311
605
169
800
287
2,160
184
1.945
1.784
1.002
474
662
13.388
631
360
3.486
481
296
413
2,998
134
729
589
408
6
65
91
2
171
4
5
10
14
23
14
3
5
6
2
84
26
11
6
39
12
21
17
7
24
4
32
134
630
32
221
128
12
30
3
26
25
100
2
59
242
8
22
29
1,166
30
62
49
18
2
19
103
7
30
8
18
683
26
53
95
251
329
83
33
55
67
109
142
128
82
118
1,501
84
55
417
159
196
69
131
264
1,497
55
394
307
13
119
41
196
35
382
37
332
469
139
105
121
3,588
153
64
685
112
47
81
563
38
113
59
53
2,703
104
111
431
1,356
761
681
178
242
249
303
992
590
508
371
3,698
240
345
1,852
684
992
325
368
815
9.635
199
1.155
718
250
380
120
534
183
1.021
138
1.397
887
739
316
456
4.046
355
210
2.058
286
213
234
1,743
81
439
454
284
183
14
4
19
47
155
31
9
21
14
38
28
36
18
46
351
13
2
286
37
396
21
49
109
555
7
324
490
27
50
2
28
39
565
5
121
74
84
27
41
2,464
56
18
593
43
33
67
483
6
108
57
41
SI
NEW HAMPSHIRE
Redfnrd
6
22
29
39
2
7
1
1
4
24
7
4
4
16
64
1
2
4
1
2
3
3
1
1
5
22
33
1
3
27
2
19
37
3
3
9
7
14
29
6
2
156
4
6
37
6
1
31
3
2
2
23
10
1
28
5
11
125
575
2
105
78
8
24
3
7
3
76
1
15
85
16
2
10
1,611
26
4
87
13
1
7
86
1
3
10
17
52
2
10
5
1
2
NEW JERSEY
6
2
8
2
2
103
4
5
Belleville
2
1
1
4
1
7
5
1
9
1
8
16
13
2
9
16
2
5
47
116
11
350
2
1
5
5
8
3
Cliffside Park
1
3
4
9
1
4
1
2
Clifton
8
1
28
7
10
7
3
Dclran Township
134
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by Slate
Population
Crime
Index
lolal
Modified*
Crime
Index
total
Murder
and non-
ncgligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
IheH
Motor
vehicle
then
NEW JERSEY— Continiwd
Denville Township
Deplford Township
Dover
Dover Township
Dumont
East Brunswick Township
East Hanover Township
East Orange
East Windsor Township
Ealontown
Edison
Egg Harbor Township
Elizabeth
Elmwood Park
Englewood
Evesham Township
Ewing Township
Fatr Lawn
Fairview
Rorence Township
Fort Lee
Franklin Township (Gloucester County)
Franklin Township (Somerset County)
Freehold
Freehold Township
Galloway Township
Garfield
Glassboro
Glen Rock
Gloucester City
Gloucester Township
Hackensack
HaddonTieid
Haddon Township
Hamilton Township (Atlantic County) .
Hamilton Township (Mercer County) . .
Hammonton
Hanover Township
Harrison
Hasbrouck Heights
Hawthorne
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
13,916
24,320
15,229
76,951
17,317
43,879
10,001
74,111
22,522
13,904
89,354
24,730
110,838
17,757
25.038
35.577
34,444
30.779
10.814
10,343
32,240
14,591
43.105
10,823
24.897
23,507
26,930
15,732
10,965
12.744
54,205
37,331
11,715
14,949
16,133
87,211
12,300
11,625
13,526
11,575
17,213
22.142
13.379
29.027
21.204
33,650
11,619
15,704
11,677
39,283
61,482
33,485
17,959
230,277
11,152
35,138
22,309
291
1,771
641
3,510
347
1,802
278
6,944
476
867
3,641
1,477
9,679
879
1,193
1,016
1,970
628
328
254
1,199
422
1,818
767
833
822
633
971
172
395
2,238
2,256
328
646
1,076
2,761
412
203
682
442
431
428
428
606
1,654
2,869
299
298
160
987
7,594
1.337
288
20,509
307
2,114
592
291
1,788
641
3,546
347
1,805
279
7.037
478
868
3.673
1,493
9,701
884
1,198
1,028
1.981
628
332
256
1,200
427
1,851
768
833
834
636
976
172
397
2,261
2,260
329
649
1,085
2,789
414
203
683
444
434
434
430
607
1,664
2,873
301
300
161
1,000
7,606
1,341
289
20,568
310
2,119
601
14
13
15
72
1
30
7
66
1
17
2
1,077
5
9
70
32
882
9
66
16
50
15
25
93
93
97
3
2
1
12
846
3
1
2,583
4
55
3
21
64
33
120
25
40
7
757
13
29
83
94
523
20
87
18
47
16
18
26
92
25
64
63
22
25
24
63
12
94
78
4
11
82
48
28
15
42
6
7
27
9
9
61
196
12
14
5
38
583
23
17
1.870
67
84
14
13
268
123
737
50
204
31
1.399
69
592
350
1.715
100
330
257
315
86
93
60
356
146
385
161
129
189
102
179
50
99
377
227
63
120
238
506
91
32
152
83
98
73
75
127
307
641
57
59
38
168
1.536
109
92
4,550
42
367
79
232
1,196
392
2,362
258
1,390
213
1,987
355
683
2,344
852
4,004
640
591
673
1,134
456
162
147
546
203
1,153
454
614
548
346
619
111
229
1,516
1,530
237
449
632
1,735
252
149
281
275
281
287
328
460
666
1,274
218
206
104
709
2,034
1,174
161
6,583
177
1,222
472
23
213
83
212
12
143
25
1,626
32
54
551
131
2,478
106
117
46
417
54
47
18
154
34
174
36
59
46
132
46
II
42
186
350
21
49
81
391
29
6
189
75
35
30
15
10
512
656
9
12
10
52
2,508
25
17
4,805
9
382
24
13S
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Slale
Populalion
Crime
Index
total
Modincd'
Crime
Index
(olal
Murder
and non-
neghgent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
then
NEW JERSEY— Continued
Lakewood
Lawrence Township
Lincoln Park
Linden
Lindenwoid
Little Egg Harbor Township
Little Falls Township
Little Fert7
Livingston
Lodi
Long Branch
Lower Township
Lyndhurst Township
Madison
Mahwah Township
Manalapan Township
Manchester Township
Mantua Township
Manville
Maple Shade Township
Maplewood Township
Marlboro
Medford Township
Metuchen
Middlesex
Middle Township
Middletown Township
Millbum Township
Millville
Monroe Township (Gloucester County)
Monroe Township (Middlesex County)
Montclair
Montville Township
Moorestown Township
Morristown
Morris Township
Mount Holly
Mount Laurel Township
Mount Olive Township
Neptune Township
Newark
New Brunswick
New Milford
New Providence
North Arlington
Notlh Bergen Township
North Brunswick Township
North Hanover Township
North Piainfield
Nutley
Oakland
Ocean City
Ocean Township
Old Bridge
Orange
Palisades Park
Paramus
45.390
25.982
1 1 .06 1
36.979
18,876
13,434
11,379
10,064
26,810
22,524
28,875
20.978
18.400
15.970
18,041
26,919
36,249
10,149
10,646
19,357
21,816
28,186
20,682
12,901
13,154
14,883
68,701
18,770
26,189
26,906
22,423
38,015
15,718
16,238
16,311
20,103
10,719
30,499
21,443
28,361
277,544
42,028
16,111
11,525
13.894
48,781
31.524
10.069
18.962
27,304
12.088
15.629
25.248
56.904
30.152
14.646
25.257
2,781
2,048
229
2,213
1,032
465
821
327
905
706
2,796
775
821
253
423
527
361
376
207
738
1,099
707
463
406
403
811
1,315
701
1.584
965
338
2.088
320
524
1,222
397
849
435
1,855
40,588
4,293
403
122
470
2,553
1,527
69
1,375
684
157
1,651
1.101
1,631
3,249
317
3,659
2,824
2.048
233
2,219
1,046
469
823
328
907
706
2,819
787
822
253
424
531
380
381
207
740
I.IOI
713
464
406
406
822
1,315
702
1,591
978
340
2,094
323
526
1,225
398
861
826
439
1,860
40,772
4,-301
405
122
474
2,559
1,546
69
1,379
708
157
1,654
1,108
1,643
3,262
318
3,681
3
10
6
3
4
313
19
71
40
1
72
30
3
12
4
9
9
170
4
7
3
6
4
12
37
5
2
7
8
7
7
14
69
20
4
71
2
II
58
I
43
16
3
44
5,389
286
12
22
19
326
3
24
106
39
17
121
68
31
12
18
22
233
31
10
7
25
85
18
105
20
39
102
3,926
181
9
64
49
II
43
47
2
36
27
67
220
6
64
611
209
44
397
237
121
114
56
88
142
799
162
89
49
63
125
78
83
29
134
240
129
92
87
37
188
220
98
400
223
78
412
57
118
212
63
170
216
145
569
6,121
873
65
24
95
599
310
16
272
173
22
389
204
273
737
93
208
1.766
1.247
158
1. 119
502
295
551
210
667
398
1.386
547
506
190
321
328
233
253
144
349
537
501
339
276
315
548
987
505
853
603
206
1.207
231
319
802
292
468
461
218
1,022
10,822
2,529
283
89
243
1.175
949
39
822
346
126
1.183
788
1.112
934
155
2,578
205
505
9
493
183
7
125
44
123
126
181
19
205
9
25
29
9
19
17
191
257
23
10
22
28
45
55
70
77
76
20
298
22
50
56
20
51
103
26
III
13,930
402
32
8
112
626
179
3
192
98
7
27
50
155
1.012
56
785
136
lable 8. — Number of Offenses Known to (he Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
Populalion
Crime
Index
total
Modil'icd*
Crime
Index
total
Murder
and non-
negltgent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Parsippany-Troy Hills
Pas&atc
Patei^on
Pembenon Township
Pennsauken
Pennsvillc Township
Pequannock Township
Penh Amboy
Phtllipsbui^
Piscalaway Township
Plainfield
Plainsboro Township
Pleasant ville
Point Pleasant
Pompton Lakes
Princeton
Pnnceton Township
Rahway
Ramsey
Randolph Township
Raritan Township
Readington Township
Red Bank
Rtdgefield
Ridgefield Park
Ridgewood
Ringwood
River Edge
Rockaway Township
Roselle
Roselle Park
Roxbury Township
Rulheiford
Saddle Brook Township
Sayreville
Scotch Plains
Secaucus
Somers Point
Somerv ille
South Bi^nswick Township
South Orange
South Plainfield
South River
Spana Township
Springfield
Stafford Township
Summit
Teaneck Township
Tenafly
Tinton Falls
Tolowa
Trenton
Union City
Union Township
Ventnor City
Vernon Township
Verona
48.847
58.482
141.962
31.579
35,(X)2
1.3,898
12.941
42.285
15.876
47.446
46,920
14.320
16.148
18.315
10.618
12.107
13.297
25.517
13.328
20,125
15.734
13.501
10.716
10,071
12,548
24,335
12,718
10,682
19.720
20.468
12,902
20,583
17,924
13,396
35,252
21,320
14,167
11,301
11,719
25,987
16,514
20,644
13,795
15,271
13,521
13.426
19,907
38,113
13,427
12,454
10,254
89.349
58.452
50.404
11.088
21.371
13.700
1.394
3.904
10.519
1.192
1.896
361
367
3.052
302
1 .504
3,536
497
1,222
595
237
734
346
1.084
441
390
396
211
534
163
242
447
193
222
1.005
990
326
479
449
513
1.141
490
1,225
384
686
776
1,184
1,098
334
244
406
396
506
1,337
234
422
573
8,560
3,511
3,205
604
604
307
1,400
3,91 I
10,599
1,218
1,905
361
.367
3.078
302
1.512
3.555
501
1.235
596
239
738
346
1.085
441
391
397
215
535
164
242
448
194
224
1.008
999
328
480
450
515
1.146
492
1.226
386
689
784
1.185
1.104
336
245
406
399
506
1,350
234
422
573
8,588
3,523
3,212
606
605
307
114
19
3
3
17
380
1,055
36
129
5
197
3
39
423
3
70
I
5
1
56
6
3
1
1
13
4
1
4
1
4
14
63
1
6
9
6
14
15
31
9
10
4
93
44
3
3
6
4
7
38
2
3
6
652
278
141
16
1
4
50
298
1.044
138
54
3
17
221
16
96
251
15
177
13
13
5
6
12
8
27
9
II
17
4
2
23
60
4
22
18
4
69
4
21
33
12
27
16
25
24
6
7
14
8
73
3
21
16
945
103
82
19
33
25
310
713
2.498
267
533
38
50
780
51
244
930
67
305
110
28
10!
61
253
54
75
59
34
72
33
29
130
53
41
126
232
90
66
83
59
203
49
97
86
133
176
116
61
59
47
77
73
315
78
71
58
1,784
952
469
135
103
63
916
1.639
3,919
652
639
308
283
1.572
219
987
1,507
350
530
456
185
614
251
581
332
292
314
155
395
94
174
268
126
160
775
471
165
360
273
359
706
321
853
228
517
537
549
809
223
169
249
284
363
793
145
310
409
2.972
1.437
1.648
412
443
183
85
831
.903
72
530
6 ,
14 ,
258
13 .
125
398
53
124
13
10
27
163
39
12
9
13
23
22
25
26
8
15
63
162
64
23
64
83
136
68
271
15
57
74
348
98
15
6
96
13
52
105
6
15
84
2.077
718
860
19
23
31
137
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily 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
NEW JERSEY— Continued
Vineland
Voorhees Township
Wallington
Wall Township
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
Willingboro Township
Winslow Township
Woodbridge Township
Woodbury
Wyckoff
NEW MEXICO
Alamogordo
Albuquerque
Artesia
Deming
Fartnington
Gallup
Hobbs
Las Cruces
Los Alamos
Portales
Rio Rancho
Silver City
NEW YORK
Albany
Amherst Town
Amsterdam
Auburn
Batavia
Beacon
Bethlehem Town
Binghamlon
Blooming Grove Town
Brighton Town
Buffalo
Canandaigua
Carmel Town
Cheeklowaga Town
Cicero Town
55,196
24.745
10.909
20,398
10,911
42,278
15,710
11,023
47.382
12,478
10.501
19.526
29.089
25.623
38.415
39,399
1 1 .065
16,142
10,525
36,567
30,315
93,794
10,986
15,488
28.796
401,529
11.071
11,446
35,476
19.987
30.381
64,829
18.902
11.154
33.919
11.147
101.803
106.885
20.861
31,481
16.426
13,336
27.748
53.385
11.850
34.700
330.466
10.801
29.021
94.183
23,792
4,567
1,295
288
432
213
1,527
211
251
2.768
864
273
586
722
530
2,318
1,765
507
537
280
1.292
1.151
4.888
677
274
1.384
38.014
521
764
3.054
2.792
2.613
6.237
354
485
936
897
7,791
3.375
409
1,196
787
326
763
2,560
248
1.173
33.147
353
516
4.497
335
4.597
1.303
290
434
217
1,534
212
253
2,770
865
274
589
727
536
2,333
1.767
513
539
281
1.303
1.164
4.918
677
275
1,396
38,208
521
766
3,066
2.805
2,616
6.263
357
489
941
898
7.857
3.384
413
1.204
788
766
2.567
251
1,175
33,699
523
4,529
342
76
2
294
2
3
55
21
38
49
1
6
4
3
77
II
1
9
3
3
2
IS
2
5
346
2
204
27
5
29
1
2
25
17
1
7
6
I
125
51
11
3
5
40
23
98
35
10
12
1.460
2
4
38
45
29
119
2
3
8
10
467
66
3
15
5
16
3
39
I
16
2.998
3
3
86
1
316
29
3
14
2
33
7
7
128
35
32
14
15
134
43
12
12
9
93
106
252
15
87
4,372
18
41
188
217
396
423
31
25
100
47
598
200
8
40
12
48
53
71
2
7
2,947
4
II
280
934
125
59
88
37
351
50
60
268
172
31
107
135
126
568
348
90
59
65
260
317
590
118
95
272
8,705
108
238
405
357
594
1,246
67
204
218
194
2,246
391
131
155
119
80
170
294
70
155
8,210
43
112
748
28
58
2.730
916
180
310
161
1.012
144
149
1.870
501
219
402
526
342
1,010
909
298
367
187
728
559
2,836
468
168
967
20,236
379
425
2.250
1.985
1.487
3,947
243
231
553
616
3.858
2,401
246
971
637
157
526
2,109
161
914
13,085
290
366
2,735
239
350
195
41
14
13
98
8
30
468
136
22
34
39
42
476
397
91
95
12
147
131
1.098
38
44
2.905
11
52
114
163
67
448
10
16
51
25
537
300
20
6
II
22
9
30
12
76
5,485
II
24
637
138
Ttbic 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992— Continued
aty by Sute
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larccny-
Ihefl
Motor
vehicle
theft
NEW YORK— Continued
Clarkstown Town
Clay Town
Cohoes
Colonic Town
Cortland
Cortlandt Town
Depew Village
Dewitt Town
Dobbs Feny Village
Dunkirk
East Aurora- Aurora Town
Eastchester Town
East Fishkill Town
East Greenbush Town
East Hampton Town
Elmira
Endicott Village
Evans Town
Fallsburg Town
Fishkill Town
Floral Park Village
Fredonia Village
Freepon Village
Fulton
Garden City Village
Gates Town
Geddes Town
Geneva
Glen Cove
Glens Falls
Gloversville
Goshen
Greece Town
Greenburgh Town
Guilderland Town
Hamburg Town
Hamburg Village
Harrison Town
Haverstraw Town
Hempstead Village
Irondequoit Town
Ithaca
Jamestown
Johnson City Village
Kenmore Village
Kent Town
Kingston
Lackawanna
Lancaster Town
Lancaster Village
Lockport
Lynbrook Village
Mamaroneck Town
Mamaroneck Village
Massena Village
Middletown
Mount Pleasant Town
77,091
54,709
16,945
72.675
19.942
28.571
17,798
21,959
10,010
14,088
13,528
18.668
22.257
14.175
14.089
33.964
13.626
15.355
10.737
15.809
16.060
10.510
40.178
13,020
21,840
28,786
11,038
14,243
24,320
15,129
16.774
11.582
90,748
40,868
27,439
40,681
10,516
23.474
23.439
49.805
52.750
29.751
34,928
17,010
17,302
13,276
23.259
20.731
14.048
12.024
24,599
19,345
11,487
17,447
11.801
24.331
25.231
2.426
551
576
3.595
1.095
420
732
1.152
290
658
287
459
434
424
632
2.025
688
539
497
287
257
274
2.014
674
683
1,256
393
565
511
1,156
900
95
2,726
1,725
543
2,191
260
655
541
2,347
3,243
2,077
1.827
1.131
423
303
1,286
1,083
500
281
1,564
413
324
723
192
1,376
432
588
1,098
1,155
290
668
289
459
439
435
694
287
258
275
2,033
687
1,158
98
2,734
1,733
544
547
2,369
2,082
324
724
1,390
438
1
1
306
1,286
1,089
1
3
1
281
1,566
418
1
12
17
139
5
7
33
5
10
19
21
65
7
22
3
6
12
240
68
37
18
10
8
162
24
120
22
17
55
49
6
17
13
7
15
16
46
II
43
55
57
21
34
3
20
158
7
9
16
1
46
17
311
27
8
19
66
II
175
22
6
36
398
15
30
31
59
36
43
67
215
18
30
250
14
386
95
114
403
183
88
118
184
52
152
67
64
114
81
214
264
98
112
206
24
61
23
267
126
97
246
72
102
103
116
199
18
346
215
68
394
41
153
95
337
466
420
326
165
86
73
233
163
114
89
331
70
88
179
59
276
88
1,628
425
300
3.014
845
254
508
918
190
464
199
314
279
274
380
1.609
518
341
248
218
134
220
1.167
513
487
838
312
406
299
694
612
63
2.159
1.149
442
1.344
184
432
367
913
2.446
1.543
1.412
814
251
168
911
493
328
146
833
238
172
432
125
953
309
28
116
25
14
49
21
26 ,
12
13
55
19
22
19
43
15
22
II
41
II
269
17
83
117
3
68
24
40
6
174
220
14
245
8
57
29
431
245
40
31
71
41
18
42
175
31
15
79
67
61
90
I
37
25
139
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
NEW YORK— Continued
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
Niskayuna Town
North Castle Town
North Greenbush Town
North Tonawanda
Ogdensburg
Olean
Oneida
Oneonta
Orangetown Town
Orchard Park Town
Oswego
Peekskill
Plattsburgh
Potsdam Village
Poughkeepsie
Poughkeepsie Town
Riverhead Town
Rochester
Rome
Rotterdam Town
Rye
Saratoga Springs
Saugerties Town
Schodack Town
Shawangunk Town
Southampton Town
Southold Town
Stony Point Town
SufTem Village
Syracuse
Tarrytown Village
Tonawanda
Tonawanda Town
Troy
Ulster Town
Utica
Vestal Town
Wallkill Town
Warwick Town
Walertown
Webster Town and Village
West Seneca Town
Yonkers
Yorktown Town
67,631
26,642
24,229
16,766
19,857
11,468
67,745
23,100
7,375,097
19,183
10,132
10,967
35,238
13,616
1 7,066
10,926
14,053
35,083
24,807
19,331
19,675
21,406
10,323
29,049
39,562
23,175
233,289
44,666
28,597
15,042
25,178
14,655
10,421
10,152
37,388
17,892
12,905
11,133
165,029
10,815
1 7,406
65.749
54,656
12,416
69,126
26,923
23,180
15,614
29,638
31.864
48,171
189,425
33,705
4.380
1,806
1,289
207
1,060
405
2,377
642
626,182
590
236
204
1,012
509
812
595
444
1,180
923
829
875
624
448
2,655
2,120
1,112
27,486
1.030
935
418
1.892
369
258
91
2,029
417
182
271
11,838
394
546
1,849
2,886
753
4,452
319
739
215
1,426
823
1 .493
9,086
874
1,830
1,292
207
1.061
631,144
593
206
1,019
509
1,182
927
853
449
2,658
27,839
936
418
1.904
263
91
418
182
275
11.951
394
549
1,856
2,906
320
747
217
827
1,508
9,170
879
1,995
4
6
3
2,815
6
12
3
2
13
5
9
170
3
1
1
16
1
399
140
25
12
4
176
2
91,239
7
3
3
16
2
10
3
3
20
3
5
36
I
2
210
34
32
1,524
23
9
I
30
3
16
1
3
4
645
7
3
40
78
3
160
6
12
2
24
7
22
751
403
244
25
4
41
35
188
77
63,529
46
2
17
109
10
15
75
37
118
77
12
137
78
194
779
20
I
4
343
22
20
20
210
3
769
14
46
140
49
30
91
I
13
9
109
5
89
368
12
887
503
155
26
92
61
594
128
103,476
55
69
60
229
80
85
79
83
237
132
117
158
74
49
693
235
359
6,915
200
117
86
256
117
65
18
495
120
40
59
3,023
60
73
319
717
96
907
45
81
53
253
93
288
1,723
129
1,581
820
1,032
164
896
289
1.021
396
236,169
460
152
118
684
407
598
480
328
780
682
675
477
462
369
1,481
1,708
486
15,288
738
775
279
1,215
209
167
49
1,202
292
133
188
6,629
266
391
1,185
1,866
600
2,969
254
606
144
994
650
902
4,417
705
1,069
71
47
13
19
12
389
36
126,959
16
9
6
67
12
4
19
9
63
68
32
71
7
13
117
59
31
2,761
46
32
47
32
17
5
4
95
4
4
14
674
46
30
161
150
20
287
13
25
6
12
66
186
1,776
25
140
Table 8. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Papulation, 1992 — Continued
Population
Cnmc
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larccny-
Ihen
Motor
vehicle
theft
NORTH CAROLINA
Altwmarle
Asheville
Boone
Burlinglon
Carrboro
Can
Chapel Hill
Charlotie
Concord
Durham
Eden
Elizabeth City
Fayeiteville
Gamer
Gastonia
Goldsboro
Graham
Greensboro
Greenville
Havelock
Henderson
Hickory
High Point
Jacksonville
Kannapolis
Kemersville
Kingston
Laurinburg
Lenoir
Lexington
Lumberton
Matthews
Monroe
Morganion
New Bern
Raleigh
Reidsville
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
15,421
63.598
13,332
40,774
11.925
45,276
39,971
408.951
28,231
141,028
15,730
14,753
78,142
15,450
56,500
42,024
10,762
189,454
46,425
20,923
16,160
29,215
71,743
30,982
30.655
11.186
26,112
12,019
14,650
17,117
19,202
14,092
16,647
15.572
17,923
214.674
12.576
16.230
50.579
23.833
14,942
15,142
11,393
16,429
57,324
38,123
148,123
1,311
5,923
480
2,566
1,065
1,890
3.201
51.489
1.997
15,210
801
798
10.120
941
6.368
4.178
672
15,593
5,319
504
2,234
3,211
6,994
3,885
1,306
922
2,884
1,176
1,178
1,831
2,086
692
2,345
1,093
2,674
16,237
1,019
1,244
5,330
2,606
2,420
1,421
988
1,395
7,286
4,682
17,180
49,038
2,278
16,026
497
73,832
3,639
49,207
2,863
15,502
402
15,109
848
34,391
1,888
12,232
423
1,326
5,943
480
2,578
1,065
1,910
3,224
51,902
2,005
15.276
805
799
10.192
943
6.397
4.191
673
15.700
5.329
509
2.255
3,239
7.053
3.892
1,323
924
2,908
1,186
1,181
1,853
2,092
699
2,345
1,095
2,684
16,331
1.021
1,244
5.349
2.622
2.434
1.427
989
1,395
7,333
4,700
17,358
2,278
3
10
38
361
6
111
92
5
22
18
5
106
30
5
4
18
58
15
14
1
25
5
6
16
10
2
9
2
II
120
3
I
35
17
8
7
2
4
43
24
144
21
198
4
42
27
36
86
3,058
58
828
9
18
525
28
266
238
5
687
204
7
80
133
289
107
55
23
125
27
33
45
67
II
58
II
96
887
22
19
213
87
46
43
29
42
249
179
1,012
849
3
9
7
49
16
16
13
13
1
14
1
10
4
1
2
109
330
25
172
56
76
241
5,938
152
821
54
52
932
60
714
420
69
810
307
28
192
195
601
252
69
61
376
84
101
188
132
46
256
43
217
1,145
20
30
381
126
256
112
103
67
369
377
1,302
335
1,396
90
524
315
384
752
12,565
500
5,124
193
190
2,341
181
1,598
862
158
3,342
1,469
145
627
616
1,862
778
382
195
661
259
241
494
429
123
622
181
671
3,775
214
241
1,307
650
621
399
211
392
1,843
1,490
4,703
320
34
314
357
49
47
209
63
799
3,605
343
1,719
622
1,335
1,978
27.014
1.223
7,397
504
493
5,456
622
3,516
2,412
417
9,957
3,021
306
1,220
2,080
3,892
2,555
711
617
1,588
745
747
1,005
1,332
456
1,338
830
1,570
9,343
716
905
3,149
1,621
1,407
782
620
818
4,400
2,364
9,029
1,825
438
3,015
2,278
319
651
1,584
330
39
358
18
96
42
49
106
2,454
55
898
38
44
762
45
239
220
17
668
279
12
110
160
282
173
73
25
105
51
47
81
115
54
59
26
108
948
42
47
240
99
74
73
21
67
370
239
957
96
18
206
156
17
40
60
24
141
Table 8. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
vetiicle
theft
Arson*
OHIO
226,490
23,738
10,492
20,391
21,595
28,052
17.263
34.148
15.052
12.319
12.330
19.347
13,290
12,044
28,614
12,001
12,408
23,220
13,705
11,930
85,470
21,409
22,263
369,707
513,487
54,892
643,028
13,447
49,711
184,877
20,341
30,720
11,504
16.620
33.610
21,490
57.628
1 1 .609
55.728
31.787
40.347
18.898
11.197
17.922
28.223
32,232
11,479
12,894
13,062
19,966
62,322
11,978
39,297
12,949
32,569
29.283
61,512
17,237
2,193
409
674
589
1,379
125
1,230
542
489
585
503
595
540
1,236
98
153
990
763
879
6,872
650
1,532
32,682
42,536
1,394
58,221
386
2,273
20,502
1,040
646
615
687
2,667
659
2,919
667
2,882
1,213
2.185
1,262
604
947
790
1,005
325
213
526
779
5,227
584
1,633
299
1,386
1,108
2,333
17,446
2,209
409
676
591
1,398
126
1.264
543
490
585
510
596
543
1,239
98
154
1,000
765
882
6,950
660
1,549
33,262
43,291
1,394
59,216
387
2,288
20,752
1,049
649
616
687
2,702
661
2,952
671
2,892
1,219
2,196
1,268
604
955
793
1,012
325
219
530
781
5,276
594
1,655
299
1,394
1,117
2,345
24
4
204
22
2
4
10
1
6
1
3
6
4
1
5
18
1
966
75
9
1,451
260
2
3,353
321
39
54
53
192
29
235
70
92
66
107
88
89
166
22
28
122
160
106
1,738
129
227
7,076
9,000
127
1 5,020
66
282
4,552
213
81
75
173
615
96
707
48
310
229
355
89
164
171
145
204
47
61
88
76
1,125
78
258
84
241
182
337
9,069
1,366
338
589
483
896
87
907
356
219
463
316
436
412
975
62
102
500
514
756
3,679
479
1,174
17,695
14,240
973
29,210
294
1,703
9,624
738
532
499
479
755
453
1,680
565
2.025
881
1,510
1,043
390
614
589
534
220
131
404
621
2,784
461
1,170
185
962
777
1,733
2,170
145
19
28
36
107
6
51
89
136
25
46
35
19
39
13
20
343
39
8
474
30
51
2,118
10,764
254
6,962
14
144
2,969
41
6
18
20
661
77
293
39
395
54
114
55
35
64
27
154
41
8
22
53
414
22
122
15
109
57
168
209
16
Ashland
1
2
Athens
1
46
2
14
11
18
5
8
29
7
6
12
128
2
19
Bav Villaee
1
17
15
21
17
22
6
8
30
34
Bedford
1
Bedford Heights
1
3
Berea ....
7
Bexley
1
Blue Ash
3
2
3
Broadview Heights
Brook Park
3
3
41
4
358
7
58
2,964
3,098
2
2,647
7
77
1,265
13
4
18
5
268
24
73
5
41
30
161
10
7
57
7
56
8
3
6
11
638
16
28
5
33
62
29
1
2
5
3
80
2
7
486
854
20
4
2
530
3
15
2,294
4,423
36
3,585
2
42
1,737
22
10
1
10
315
5
125
7
88
12
31
47
7
30
19
44
9
10
2
3
13
78
Centerville
10
17
49
157
2
113
580
755
684
3
25
298
13
12
4
995
1
15
Dayton
57
250
9
Delhi Township ...
1
3
Dover
1
Dublin
Easi Cleveland
9
44
4
39
3
21
6
14
18
1
10
2
10
35
2
2
33
4
Euclid
2
1
10
6
Fairfield
11
6
Fremont ... .
1
1
3
8
3
Garfield Heights
7
10
2
2
72
4
25
2
12
12
21
6
Greenville
4
15
190
3
29
8
29
18
45
4
1
4
2
Hamilton
49
Hilliard
10
1
22
8
Kent
9
Kettering
12
142
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Slale
Population
Crime
Index
total
Modined*
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Bursary
Larceny-
theft
Motor
vehicle
theft
OHIO— Continued
Lakewood
Lebanon
Liberty Township
Lima
Lorain
Loveland
Lyndhurst
Madison Township (Lalie County)
Madison Township (Montgomery
County)
Mansfleld
Maple Heights
Marietta
Marion
Mason
Massillon
Mayfield Heights
Mentor
Miamisburg
Miami Township
Middleburg Heights
Middletown
New Philadelphia
Niles
North Canton
North Olmsted
North Ridgeville
North Royalton
Norton
Norwalk
Norwood
Oregon
Parma
Parma Heights
Perkins Township
Perrysburg
Perry Township
Piqua
Portsmouth
Reading
Salem
Sandusky
Seven Hills
Solon
South Euclid
Springdale
Springfield
Springfield Township
Steubenville
Stow
Streetsboro
Sirongsville
Sylvania
Sylvania Township
Tallmadge
Toledo
Troy
60.646
10,615
13,353
46,166
72,353
10,143
16.230
18,233
20,925
51,414
27.510
15,259
34,604
11,629
31,489
20,155
48,095
18,111
22,889
14,930
46,737
15,941
21,455
14.976
34.735
21.899
23,557
11,655
14,959
24,042
18,619
89,243
21,781
10,960
12,746
30,778
20,932
23,028
12,224
12,422
30,227
12,530
18,836
24,237
10,785
71,584
39,108
22,469
28.132
10.086
35,857
17,569
23,035
15,100
338,126
19,780
1,478
570
646
4,355
2,319
406
207
503
1,084
5,507
1,232
834
2,268
397
1,465
565
1,581
1,079
837
670
2,736
598
1,630
356
1.372
431
403
445
352
1.206
1,020
2,218
437
624
284
1,133
1,224
1,748
388
122
2,203
89
426
628
1,166
6,867
1,665
1,187
727
510
891
394
1,150
636
29.463
794
1,487
572
646
4.417
2.332
412
214
517
1.097
5,521
1,235
835
2,273
397
1,470
569
1,590
1.091
842
672
2.749
601
356
1,375
432
403
445
353
1,215
1,024
2,240
441
627
285
1,139
1,230
1,771
389
122
2,217
90
433
632
1,170
6,878
1,670
732
515
904
394
1,157
647
29,749
797
36
43
4
1
4
68
7
5
7
3
1
2
3
4
368
7
40
7
28
191
68
4
1
24
167
46
8
33
5
57
12
16
13
8
13
80
5
25
3
30
5
3
4
I
46
29
66
10
24
3
15
12
52
7
2
38
1
II
7
17
256
48
31
17
7
22
13
1.515
6
10
74
27
751
73
5
2
27
41
1.048
11
16
26
17
58
13
22
23
7
3
92
25
120
6
15
30
2
28
5
30
67
44
14
69
3
138
24
102
14
6
124
1
5
10
13
888
154
341
19
60
1
7
7
38
1,232
12
135
79
117
1,085
818
68
22
82
150
1,322
204
100
573
27
324
92
214
191
114
72
641
33
188
65
146
110
56
101
43
205
184
466
95
49
40
213
172
396
69
3
412
13
45
71
105
727
342
164
78
66
215
70
183
133
6,116
152
1,080
370
339
2,087
1,039
319
164
360
644
2.710
745
676
1.532
336
887
397
1,206
770
675
420
1,751
511
1,166
254
942
260
304
287
292
807
656
1,179
230
467
229
682
966
1,135
259
105
1,475
54
330
475
1,002
4,516
1,034
558
590
354
590
288
835
412
16,060
582
204
35
135
189
256
8
18
31
208
195
220
28
85
9
116
51
116
71
20
161
140
23
124
25
232
25
38
24
6
100
83
450
84
14
8
80
40
38
33
6
114
20
31
64
24
405
80
85
15
19
76
23
100
36
4,129
35
143
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Slate
Population
Clime
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
Union Township (Butler County) ...
Union Township (Clermont County)
University Heights
Upper Arlington
Urbana
Vandalia
Van Wert
Vermilion
Wadsworth
Warrensville Heights
Washington Court House
West Carrollton
Westerville
Westlake
Wickliffe
Willoughby
Wilmington
Woosler
Wonhington
Xenia
Youngstown
Zanesville
OKLAHOMA
Ada
Alius
Ardmore
Bartlesville
Bethany
Broken Arrow
Chickasha
Claremore
Del City
Duncan
Durant
Edmond
Elk City
El Reno
Enid
Guthrie
Lawion
McAlester
Miami
Midwest City
Moore
M uskogee
M ustang
Norman
Oklahoma City
Okmulgee
Owasso
Ponca Cily
Sand Springs
Sapulpa
Shawnee
Stillwater
40,320
33.886
15,020
34.659
11,529
14,097
11.060
11,298
15,962
15,989
13,184
14,626
30.739
27,437
14,784
20.828
11.372
22,535
15,099
25,047
97,221
27,194
16,153
22,371
23,565
34,978
20,498
59,267
15,304
13.560
24,432
22,190
13,092
53,419
10,647
15,739
46,264
10,739
82,261
16,715
13,418
53,369
41,168
38.503
10,653
81,760
454,255
13,724
11,386
26,914
1 5,669
18,454
26,565
37,449
1,689
2,239
328
1,053
511
485
714
387
321
722
419
637
1,234
487
350
732
692
1,221
510
1,732
8,807
1,456
1,022
1,400
2,205
1,582
1,132
2,044
1,334
665
1,337
1,000
1,133
2,656
699
664
3,602
530
5,620
897
809
3,455
1,823
3.823
322
4,719
50,772
1,037
375
1,323
720
975
1,872
1.607
1,722
2.251
329
1.063
511
491
721
324
725
419
639
1,257
488
352
740
692
1,226
515
1,736
9,160
1,514
1,036
1,403
2,209
1,134
2,050
1,002
5,656
897
810
1,829
3,851
4,725
51,190
1.058
379
1.336
984
1.891
1,623
32
3
55
11
6
43
12
43
7
24
472
13
3
21
5
9
14
9
1
7
54
12
12
18
7
10
7
3
12
9
31
831
34
6
18
38
22
18
19
23
4
32
7
12
31
7
21
41
12
152
10
5
79
28
101
4
55
1,836
24
3
16
17
16
26
10
36
28
5
230
1,075
128
118
40
131
125
22
84
199
12
30
33
62
115
18
34
269
52
669
70
38
197
114
279
34
95
3,989
98
13
32
22
60
74
68
395
239
45
156
60
82
112
56
39
145
90
90
210
78
64
107
76
150
84
204
2,245
274
226
382
516
372
203
427
364
163
286
230
260
538
185
144
792
128
1,136
186
195
684
505
1.191
53
1.086
11.249
204
75
342
142
223
506
354
1.152
1.849
214
798
414
363
535
308
235
313
284
399
938
331
209
527
541
957
386
1.210
2.752
865
638
924
1.399
1.003
799
1,380
681
444
854
688
729
1,781
440
402
2,312
304
3,251
571
534
2,040
989
1,906
215
3,077
27,214
631
256
826
385
546
1.1.32
1.111
45
105
37
22
17
28
28
12
32
146
23
52
39
63
41
79
26
56
25
49
.772
126
30
36
107
50
84
123
53
40
130
34
59
179
41
60
155
31
352
48
31
408
171
299
9
381
5.951
63
25
85
149
121
120
54
144
Table 8. — Number of OfTenses Known to (he Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Ciiy by State
Population
Crime
Index
(otal
Modified*
Crime
Index
lolal
Murder
and non-
ncgligcnl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
then
Arson-
OKLAHOMA— Continued
10,617
10.570
375.053
10.337
21.376
30,857
17,003
10,545
55,835
21,438
15,789
46,876
118,006
14,201
10,632
18,316
71,467
10,515
39,296
22,920
18,577
12,322
32.024
11.467
18.741
49.175
19.576
13,705
10,068
15,393
458,132
17,838
112,891
46,799
30,733
15,723
17,141
14,038
106,216
52,436
15,240
22,157
10,801
57,396
15,644
34,184
72,191
16,600
10,938
10,516
17,813
12,125
652
832
30.783
428
905
2.698
941
502
3.254
2.415
1.083
2.491
9,399
611
495
1.953
4.147
829
1.504
1.240
692
498
936
931
1.095
3,977
900
642
515
1.098
51.613
1.419
9,720
3.373
2,298
908
359
1,094
6,347
1,372
417
244
319
2,948
269
455
2,791
426
252
591
486
661
652
31.018
428
2,718
954
508
3,268
2.426
1.092
2.525
9,490
619
496
1.965
4.170
836
1.513
1.255
695
500
946
943
1,104
3.997
907
654
535
1,105
52,152
1,438
9,783
3,403
2,313
913
359
1,099
6,364
1,381
420
245
325
2,960
270
457
2,796
426
252
593
488
661
1
4
6
368
7
19
1,344
2
1
35
15
5
58
37
18
21
228
7
12
25
135
9
36
29
19
5
13
8
12
29
15
5
4
27
2.686
13
230
55
60
18
5
29
184
35
6
5
13
82
1
10
57
7
6
18
10
15
6
32
3.263
13
17
54
23
31
81
79
15
58
200
15
4
14
138
7
69
31
29
15
18
51
26
149
16
11
3
29
5.167
25
86
169
17
14
35
32
199
75
34
27
57
306
11
12
156
10
28
87
12
40
173
137
8.051
114
184
358
146
106
501
434
193
305
1.799
104
84
272
789
145
250
191
192
82
217
80
153
546
210
72
72
244
8,761
167
1,609
584
357
176
70
176
1,227
404
36
26
77
399
54
61
484
34
41
98
74
55
419
587
12,936
287
658
2,104
701
337
2,359
1,741
802
2,018
6,697
457
308
1,561
2,394
622
1,047
921
399
367
638
757
856
3,077
485
528
408
715
26,562
1,144
7.204
2,386
1,709
627
222
779
4,291
754
294
115
146
1,527
185
295
1.825
355
138
329
362
503
42
51
4,788
11
42
122
47
18
228
116
44
70
416
24
79
73
643
39
86
60
46
26
46
31
38
151
167
19
24
76
7,901
59
501
146
144
63
27
73
414
79
42
71
24
606
14
77
248
16
38
55
22
46
The Villaee
Tulsa
33
1
1
235
Yokon
2
25
9
5
26
6
10
19
57
4
8
6
48
7
12
7
5
3
3
4
10
24
7
6
4
7
490
9
83
31
11
10
OREGON
20
13
6
1
2
1
14
Bend
11
9
Corvailis
34
2
91
8
1
2
12
Gresham
23
7
Hillsboro
4
1
2
9
Keizer
15
Klamath Falls
3
La Grande
2
Lake Oswego
1
10
12
McMinnvJIle
9
Medford
1
20
7
1
12
20
Oregon City
7
46
2
7
2
539
Roseburg
Salem
Springfield
Tigard
19
63
30
15
5
5
21
25
5
5
PENNSYLVANU
AUentown
Altoona ....
11
17
9
Aston Township
Baldwin Borough
Beaver Falls
3
1
2
21
4
6
Bensalem Township
Berwick
7
12
1
2
Bethlehem
21
3
4
6
2
5
Bethlehem Township
1
Bnsiol
2
Butler Township
Cain Township
2
145
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rajje
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Ihefl
Motor
vehicle
theft
PENNSYLVANIA— Continued
Carlisle
Carnegie
Center Township
Chambersburg
Cheltenham Township
Chester
Coal Township
Coatesville
Columbia
Cranberry Township
Cumru Township
Darby Township
Derry Township
Dunmore
East Hempfield Township
East Lampeter Township
East Norriton Township
Elizabelhtown
Elizabeth Township
Emmaus
Ephrata
Erie
Exeter Township
Fairview Township
Falls Township
Franklin Park
Greensburg
Hampden Township
Hampton Township
Hanover
Harrisburg
Harrison Township
Hatfield Township
Haverford Township
Hazleton
Hermitage
Hilltown Township
Hopewell Township
Horsham Township
Indiana
Johnstown
Lancaster
Lancaster Township
Lansdowne
Lebanon
Logan Township
Lower Burrell
Lower Gwynedd Township
Lower Merion Township
Lower Moreland Township
Lower Paxlon Township
Lower Providence Township
Lower Salford Township
Lower Southampton
Manheim Township
Marple Township
McKeesport
18,616
10,159
10,856
16,825
35,296
42,303
10,028
11,155
10,815
14,973
16.231
11,072
18,604
15,567
18,796
12,127
13,466
10,058
14,869
11,276
12,262
109,882
17,444
13,399
35,371
10.216
16,492
20,602
15,733
14.553
52.936
11.888
15.520
50.381
24.994
15.463
10.694
13,415
22,130
15.3.36
28.434
56.146
13.328
11.837
25.065
12.512
12,381
10,064
58,624
11,893
39,581
19.558
10,849
20,072
29,188
23,370
26.294
868
301
144
1,317
1,914
5,645
197
710
544
267
539
271
688
361
788
727
416
266
173
285
398
5,442
511
430
1,218
85
659
510
162
704
5,508
271
473
651
617
583
244
162
438
533
1,341
4,609
488
259
1,222
291
45
166
1,547
221
1,690
439
207
621
991
530
1.078
877
309
144
1.321
1.914
5,692
197
713
545
273
539
271
688
366
797
730
417
266
181
289
403
5,482
512
436
1,232
85
662
519
162
706
5,527
272
473
659
624
584
246
162
438
538
1.356
4.630
489
262
1.225
293
45
166
1.547
223
1.694
442
207
623
1,000
533
1,089
16
10
27
121
583
1
82
11
2
14
3
9
7
7
7
6
2
2
3
336
3
4
21
556
7
4
5
6
3
3
5
2
47
195
7
13
17
42
31
1
284
12
1,265
32
78
38
23
36
51
36
2
6
2
14
32
8
5
3
370
33
8
23
2
45
34
18
7
475
18
13
26
39
14
8
3
16
63
168
136
2
12
32
8
11
15
4
149
10
12
21
25
5
51
155
81
22
166
314
976
20
87
111
20
73
28
84
33
133
89
42
23
41
46
48
1,173
108
93
184
15
157
61
23
89
1,352
32
82
120
168
39
42
18
65
76
371
965
77
30
163
60
14
39
226
56
217
96
19
76
146
42
296
601
132
109
787
1,080
1,599
128
383
351
186
392
166
526
299
606
592
328
205
105
224
321
3,094
340
302
791
59
412
394
107
587
2,389
186
334
441
349
492
175
121
315
359
643
2,884
339
175
957
212
8
95
987
131
1,207
312
166
451
755
417
468
32
43
11 .
45
381 .
1.138
15 .
70
28
33
20 .
22 .
28 ,
17
33
33
26
6 .
15
8
21
371
25
20
187
9 .
29
17
14 .
16
652
26
34 .
56
46
30
14
16 .
35 .
30
82
389
61
29
43
7
10 .
18 .
256 .
27
71
16
10 .
63
53
61
202
146
Table 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992— Continued
Cily by Slalc
PENNSYLVANIA— Continued
Meadville
Middletown Township
Millcreek Township ..
Monessen
Monroeville
Montgomen Township
Mount Lebanon
Muhlenberg Township .
Murnsville
Nazarelh Area
Nether Providence Township
Newberry Township
New' Castle
New'iown
Newtown Township
Northampton Township
North Huntingdon Township
Oil City
Palmer Township ..
Patton Township ..
Penn Hills
Pennridge Regional
Penn Township
Peters Township
Philadelphia
Philadelphia State Police
Phoenixville
Pittsburgh
Plains Township ..
Pottstown
Poltsville
Radnor Township
Reading
Richland Township
Ross Township
Rostraver
Salisbury Township
Scott Township
Scranton
Shaler Township
Sharon
South Fayette Township
South Park Township ...
South Whitehall Township
Springettsbury Township . .
Springfield Township
Spring Garden Township .
Spring Township
State College
Susquehanna Township
Swissvale
Towamencin Township
Tredyffrin Township ..
Upper Allen Township
Upper Darby Township
Upper Merion Township
Upper Providence Township
Population
14,470
44,899
47, .120
10,006
29,480
12,309
33,718
12.771
17.424
10,305
13,370
12,594
28,637
13,831
11,486
35,784
28,459
12,076
15,124
10,077
52,029
12,885
11,782
14,621
1,603,638
15,226
373,842
11,105
22,064
16,780
29.009
79,219
14,084
33,840
11,343
13,544
17,301
82,681
30,859
17,679
10,438
14,444
18,455
21,795
24,418
11.326
19,101
50,332
18,835
10,750
14,318
28,328
13,489
82,046
25,996
10,823
Cnmc
Index
total
623
1,940
1,259
231
1,345
797
333
598
333
247
313
424
1,140
200
161
277
459
476
546
221
978
256
389
224
97,395
10
451
30,694
400
1,255
421
542
6,498
421
965
361
371
325
2,867
437
658
188
II I
702
653
1,095
573
240
1,507
782
268
358
657
242
3,033
1,746
98
Modified*
Cnmc
Index
total
629
1.947
1.266
240
1,352
797
334
599
334
251
314
432
1,173
201
161
278
473
480
546
222
993
256
396
252
99,460
10
453
31,078
400
427
549
6,548
424
966
361
372
327
2,878
439
661
194
113
704
653
1,096
576
240
1,511
785
280
364
665
242
3,040
1,761
98
Murder
and non-
negligent
man-
slaughter
425
Forcible
rape
817
221
2
19
5
5
62
2
1
3
Robbery
2
1
44
2
4
1
11,681
13
2,989
5
38
3
3
541
5
7
5
5
6
80
7
13
2
4
17
7
7
Aggra-
vated
assault
23
25
29
13
77
10
13
12
5
13
24
7
51
2
1
8
21
28
35
5
45
15
4
5
6,180
1
22
1,241
6
138
26
9
312
58
16
4
9
9
129
15
44
9
1
28
2
7
16
18
7
151
33
14
Burglary
87
193
307
60
146
61
29
62
61
30
46
80
345
27
22
74
101
68
56
12
196
36
56
28
16,199
3
88
5,201
73
238
71
75
1,495
63
124
36
42
78
532
45
106
38
22
71
65
83
59
33
221
116
37
43
127
28
327
144
10
Larceny-
theft
476
1,320
852
130
719
630
274
472
252
190
202
315
565
160
121
172
293
349
445
192
450
185
309
177
39,677
6
280
12,874
280
763
299
421
3,531
278
522
293
297
178
1,879
317
448
106
65
586
562
774
482
192
1,207
574
127
286
444
202
2,183
1,225
69
Motor
vehicle
theft
24
371
52
14
369
87
15
35
13
14
37
17
109
10
15
21
38
25
7
10
229
17
13
13
22,416
47
!,124
34
56
17
29
549
15
295
20
18
53
211
51
44
31
17
18
15
169
19
9
29
42
87
10
58
5
269
309
4
147
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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— Conrinued
Upper Saint Clair Township
Upper Southhampton Township
Warren
Warrington Township
Warwick Township
Washington
Washington Township
West Chester
West Goshen Township
West Hempfield Township
West Manchester Township
West MifTlin
West Norriton Township
West Whiteland Township
Whitehall
Whitemarsh Township
Wilkes-Barre
Wilkinsburg
WiUiamspon
Windsor Township
Yeadon
York
York Township
RHODE ISLAND
Barrington
Bristol
Burrillville
Central Falls
Coventry
Cranston
Cumberland
East Greenwich
East Providence
Johnston
Lincoln
Middlelown
Narragansett
Newport
North Kingstown
North Providence
North Smithfield
Pawtuckel
Portsmouth
Providence
Smithfield
South Kingstown
Tiverton
Warren
Warwick
Westerly
West Warwick
Woonsocket
SOUTH CAROLINA
Aiken
19,902
16,247
11,240
12,299
11,745
16,033
11,237
18,233
18,274
13,080
14,522
23,896
15.371
12,535
14,605
15,021
48,031
21,305
32,274
10,254
12.108
42.643
24.410
15.872
21.657
16.254
17.663
31.130
76.176
29.082
11.882
50.456
26.582
18.072
19,489
15.006
28.269
23.821
32.139
10.512
72.754
16.881
161,010
19.192
24.668
14,333
11.402
85.557
21.637
29.312
43.943
20.534
183
229
324
275
95
1.253
216
1.036
670
253
891
1.039
478
525
125
422
1.862
2,159
2.109
129
564
3.385
632
325
365
197
1,016
648
2,674
1,039
315
1.476
910
788
550
600
2,419
601
1,074
325
4,379
392
15,461
289
575
385
334
4,156
371
873
1,491
1,428
183
229
326
276
95
1.266
219
1.042
674
253
894
1,039
479
526
126
424
1.862
2,184
2,123
129
565
3,408
632
343
365
200
1,016
660
2,687
1,044
317
1,485
916
793
551
600
2.455
610
1,086
325
4.381
392
15,934
292
577
386
336
4.189
372
881
1,497
1.436
16
116
13
6
16
49
8
2
5
64
217
71
25
178
36
I
36
5
4
24
10
4
3
3
33
3
11
3
82
1
606
1
5
3
1
25
2
7
27
37
3
9
8
1
113
15
58
33
3
5
42
30
3
4
3
45
365
71
7
7
114
28
3
16
3
216
30
63
191
6
49
23
97
69
190
16
50
55
158
33
601
4
13
4
405
5
126
89
99
18
63
66
47
15
180
40
141
85
19
99
90
64
76
15
78
333
538
440
26
102
683
103
61
82
63
232
196
626
174
82
298
198
125
83
135
563
142
192
61
1.043
85
4,167
64
116
93
42
604
92
163
328
286
135
143
232
184
75
791
151
685
488
220
757
516
356
381
79
306
1.289
524
1,470
88
303
2.185
454
249
244
120
306
383
1.622
605
205
919
501
515
337
353
1.512
406
619
184
2.079
244
6.296
177
388
246
273
2,393
254
529
816
915
28
19
12
27
4
103
10
98
59
8
14
357
26
56
25
30
117
483
46
6
124
171
37
6
20
219
37
313
59
12
182
175
133
28
37
107
33
194
20
988
27
3.656
41
40
38
12
705
17
45
215
73
148
Table 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992— Continued
Clly b) Slate
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
ne^igent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
asuult
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
SOUTH CAROUNA— Continued
27.056
11,534
83,095
11,465
99.990
10.146
15.701
30.806
13.583
25.515
60,225
21.500
10,664
13,614
11.656
10.016
11.972
31,111
25,676
10,893
15,862
72,559
14,196
43,031
12,098
44,916
23,269
43,341
10,163
10,940
25,463
16,620
14,094
13,183
55,696
103,044
10,249
17,970
12,976
12,416
27.800
16.884
24,124
10,319
157,053
77,765
31,266
14,860
29,442
22,397
16,807
21,735
20,702
2.195
1.023
6.693
622
11.141
1,162
837
3,208
343
654
6.993
1.930
783
585
287
689
361
1.363
4,311
430
855
8,521
2,085
4.135
407
5.811
960
4.067
187
1.407
1.106
536
834
854
3.862
4,596
345
696
508
708
874
380
975
680
15,452
5,028
1,768
482
2,097
835
1,507
1.264
1.420
2.212
1.024
6.701
622
11.170
1.164
837
3,216
351
658
7,008
1.938
784
592
287
693
362
1,375
4,313
430
855
8,539
2,091
4,151
411
5,830
963
4,076
195
1,409
1,114
536
837
864
3,884
4,626
345
699
513
715
877
380
980
680
15,563
1,771
485
2,111
839
1,507
1.265
1,425
9
29
10
49
4
105
5
11
29
2
3
50
12
4
9
1
3
4
11
23
1
8
74
14
35
8
35
16
24
3
11
15
3
9
8
50
97
84
24
274
2
596
27
16
108
5
8
320
58
19
16
6
32
9
16
89
7
14
397
108
142
10
262
29
166
6
42
2
3
1
328
110
588
32
1.170
213
49
272
30
38
787
532
87
33
19
117
23
74
199
101
60
808
158
755
30
863
76
427
50
136
30
5
6
20
201
300
6
15
14
72
85
7
67
142
2.011
1.366
211
12
162
37
113
134
107
568
164
1,202
84
1,610
152
177
710
108
141
1,167
302
163
130
49
173
68
164
974
68
206
1,383
357
826
74
1,047
295
822
21
221
163
142
192
118
537
621
65
101
68
137
182
102
178
159
3,077
995
347
84
481
149
268
236
213
1,088
661
3.966
455
6,829
724
546
1,959
173
441
4,289
969
463
358
204
336
241
1,017
2,814
239
464
5.056
1.340
2,202
269
3,293
458
2,433
94
915
859
359
612
690
2,887
3,414
263
547
411
446
600
255
677
323
7,617
2,363
1,033
348
1,307
599
1,048
759
985
89
54
607
45
816
40
37
127
23
22
369
52
45
39
8
28
16
79
209
13
100
791
106
173
16
306
86
188
12
80
37
24
14
18
141
130
10
22
10
45
17
1
7
8
15
1
3
2
1
11
5
2
29
2
8
Gaffncv
8
4
15
8
1
7
4
1
Mount Pleasanl
2
3
1
3
12
2
2
12
2
18
Oraneebunt
6
Rock Hill
16
4
5
19
3
7
1
2
9
8
2
8
3
10
Rapid City
1
45
34
1
2
1
6
5
2
5
16
734
72
22
4
57
4
26
15
23
22
30
9
4
1
2
3
13
11
146
46
7
2
8
8
2
16
3
Yankton
5
TENNESSEE
Athens
1
7
3
11
34
27
1,836
179
146
32
82
43
42
118
76
2
31
7
2
5
111
Cleveland
3
3
14
Cookcville
2
2
4
East Ridge
1
5
149
Table 8. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
Population
Crime
Index
total
Modified'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglai^
Larxxny-
Iheft
Motor
vehicle
theft
Arson*
TENNESSEE— Continued
19,359
33,882
11,556
13,938
33,156
52,116
50,866
37,459
170,088
10,724
19,785
11,529
628,865
22,028
46,273
514.771
28,130
12,692
14,471
14.057
11.564
17.264
10,828
110,856
20,567
19,029
19,977
163,826
11,098
17,814
272,037
11,399
483.975
18.091
18,885
66,366
118,828
45,486
14,080
14,387
12,967
20,334
24,002
16,292
12,423
99,990
19,111
57,169
10,544
16,746
11.812
85.406
20.763
23.079
54,523
1.053
705
1.303
779
1.094
6.039
2.752
2.894
15.231
564
668
719
61.935
1,380
3,701
49,864
1,682
650
667
731
1,013
920
921
5.410
1,300
716
1,356
13.745
509
829
23.093
823
52.964
1,627
1,840
4,956
13.693
1,864
674
637
443
534
1.274
566
726
10.516
1,395
4,568
310
748
253
5,049
957
1,621
2,140
1,053
707
1,304
779
1,099
6,078
2,774
2,905
15,400
565
669
722
62,683
1.391
3,710
1,692
650
669
734
1,013
923
924
5,440
1,307
718
1,359
13,805
509
829
23,232
825
53,411
1,636
1,843
4,992
13,758
1,869
675
643
443
538
1,289
569
727
10,541
1,398
4,585
315
749
253
5,062
963
1,626
2.140
2
1
15
11
10
29
5
3
230
29
34
792
2
8
8
5.341
7
62
2.668
34
10
13
8
16
7
10
136
10
3
16
278
2
8
725
14
1.450
32
32
HI
718
44
5
26
4
11
11
8
12
198
21
105
4
8
2
71
6
15
21
154
5
22
7
137
757
74
239
2.164
79
27
67
3,559
38
333
5,126
61
81
63
36
184
18
97
630
96
14
71
736
41
78
1.169
198
1.069
396
65
258
1,176
47
49
30
12
18
138
9
78
632
126
392
22
II
12
131
41
62
71
174
45
123
280
263
1,302
573
474
3,340
122
120
155
16,284
180
622
10,238
257
148
192
233
92
237
199
1,439
323
182
249
2,722
64
182
4,290
187
10,208
277
372
879
3,344
416
173
168
87
119
304
105
98
2,412
310
942
71
139
49
1,164
261
200
380
658
613
1,056
411
663
3,437
1,880
1,980
6,903
335
436
434
22,673
1,018
2,480
26,106
1,249
356
353
403
678
607
585
2,946
820
504
917
9,297
386
474
13,800
395
35,336
771
1,319
2,957
6,629
1,182
415
355
318
324
740
418
511
6,334
889
2,829
209
530
180
3,129
564
1,291
1,530
39
31
72
75
11
251
174
150
1,881
23
58
53
13,214
128
180
5.138
74
48
41
34
28
50
21
166
48
11
96
592
14
74
2,947
27
4,570
128
43
696
1,719
152
26
57
20
55
66
24
18
896
32
239
4
57
10
528
79
53
121
2
Goodlettsville
1
1
17
50
21
16
116
3
19
2
688
8
21
498
7
6
5
15
11
1
8
89
3
2
6
103
2
12
146
2
294
22
7
44
84
22
4
2
6
14
2
9
29
17
58
1
5
12
1
1
35
39
22
11
169
1
1
3
Memphis
176
1
3
90
748
11
9
Nashville
Oak Ridee
10
1
2
2
4
3
3
1
4
3
TEXAS
Abilene
30
Alice
7
Allen
2
1
17
3
60
1
16
139
2
37
1
2
11
23
1
2
447
9
Bay City
3
36
65
5
Beeville
1
Bellaire
6
Belton
'
4
Bie Sorinc
IS
3
1
Brownsville
15
25
3
Bryan
3
17
5
3
1
1
1
25
5
13
Cedar Hill
6
5
College Station
17
150
Table 8. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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-
Ihelt
Motor
vehicle
then
Arson*
TEXAS— ConHnued
Collevville
13.225
28,698
17,546
25,027
267,601
23,813
1.046,562
28.741
31.915
22.351
68.882
31.747
13.149
13,377
37,156
21,464
31,062
10,925
535,655
14.429
39.652
25.205
16,138
11.934
465.262
11.837
23.712
14,817
10,428
61,397
187,770
11,944
15,426
103,541
30,352
23.980
17.163
34.150
13.347
50,656
11.577
15.325
1.695.239
12.535
29.024
34.896
161.147
13.267
14.221
18.068
11.500
66.038
26.271
23,673
14,676
11,234
22.987
298
2,977
519
1,600
27,608
1,894
130,082
725
2,230
2,081
4,185
1,821
1.266
447
2,002
2,464
2,488
657
48,445
943
1,975
2,009
673
944
65,764
846
628
799
424
7,637
12,620
261
931
7,908
1,370
2,572
765
2,596
632
4,684
1,298
843
148,284
1,580
1,388
2,648
11,905
674
415
901
1,192
5,284
1,503
893
824
499
1,213
298
2,987
522
1,611
27,786
1.917
131.453
728
2.241
2.106
4,211
1.840
1.271
448
2.016
2,468
2,495
658
48,687
945
1,999
2,015
685
950
66,184
853
634
808
434
7,695
12,741
262
933
7.915
1,384
2,593
765
2,611
634
4,693
1.301
855
149,998
1,588
1,389
2,656
11,948
674
419
904
1,193
5,388
1,528
896
826
503
1,244
1
13
1
24
144
34
1,096
2
2
19
36
5
6
4
90
6
12
509
43
9,532
7
11
28
104
28
6
4
59
8
30
5
1.610
7
35
39
13
326
10
75
1.878
59
10,667
110
218
151
302
71
78
22
53
257
95
39
3,900
29
84
54
112
70
5,226
46
36
21
69
724
507
11
40
740
86
445
8
144
101
358
249
61
12,073
66
121
185
518
53
32
30
80
185
124
25
15
83
45
60
514
199
421
5,246
346
24,806
179
525
324
948
450
250
142
410
383
610
156
7,655
259
483
382
189
195
14,304
166
165
216
119
1,333
2,910
56
208
1,400
227
580
180
577
132
911
230
133
30.207
180
258
457
1.849
141
104
177
222
1.549
318
109
274
82
342
208
1.750
286
1.011
18.051
1.346
63.079
378
1.380
1.466
2.599
1.092
829
267
1,227
1,751
1.470
417
29,533
590
1,177
1,232
336
472
32,128
495
374
505
173
4,416
7,534
179
619
4,550
937
1,283
514
1,464
348
2,977
702
613
62,302
882
892
1,637
7,952
421
254
633
778
3,047
991
677
428
309
593
12
282
17
57
1,750
65
20.515
47
94
91
193
175
96
11
242
64
280
39
5.431
54
169
291
31
148
9.940
108
40
46
43
784
1.206
8
40
952
92
163
50
307
32
367
79
30
30.938
406
46
286
1.271
33
17
47
82
269
50
59
78
14
190
Conroc
2
10
Coppell
3
11
30
1
387
2
178
23
Dallas
1.371
Deer Park
3
11
2
3
25
26
19
1
2
5
1
9
2
272
3
27
8
5
12
525
5
6
4
10
65
125
6
5
57
14
24
2
23
8
12
19
14
Eagle Pass
4
Edinburg
'
7
El Paso
44
242
2
Euless
24
3
6
12
Forest Hill
3
153
3
44
3.488
23
7
6
9
294
323
1
19
200
14
74
8
79
9
55
19
6
11.130
40
45
45
248
13
1
8
21
137
15
11
23
3
35
6
420
FreeF>on
7
6
1
21
15
9
10
58
Garland
121
2
9
7
14
Greenville
3
3
2
2
4
21
15
Marker Heights
2
9
3
12
465
2
1,169
4
26
37
53
9
7
5
6
86
3
12
5
5
4
1.714
8
1
1
14
4
8
43
Keller
4
Kerrville
1
3
11
2
3
1
104
25
Lake Jackson
3
1
3
4
2
LaMesa
4
Lancaster
31
151
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by State
Population
Cnme
Index
total
Modified'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
i^pe
Robbery
valed
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continued
La Porte
Laredo
League City
Levelland
Lewisville
Live Oak
Longview
Lubbock
Lufkin
Mansfield
Marshall
McAllen
McKinney
Mercedes
Mesquile
Midland
Mineral Wells
Mission
Missouri City
Mount Pleasant
Nacogdoches
Nederland
New Braunfels
North Richland Hills
Odessa
Orange
Palestine
Pampa
Paris
Pasadena
Pearland
Pecos
Pharr
Plainview
Piano
Port Arthur
Portland
Port Lavaca
Port Neches
Richardson
Richinond
Robstown
Rockwall
Rosenberg
Round Rock
Rowlett
San Angelo
San Antonio
San Benito
San Juan
San Marcos
Schertz
Seguin
Sherman
Snyder
South Houston
Stephenville
29,009
127,742
31,347
14,536
48,353
10,417
73,082
193,545
31,396
16,222
24,615
87,332
22,121
13,193
105,483
92,967
15,453
29,781
37,600
12,775
32,088
16,829
28,411
47,703
93,234
20,144
18,753
20,744
25,672
124,067
19,432
12,544
34,218
22,555
133,785
70,590
12,704
11,314
13,484
77.788
10,187
13,355
10,898
20,977
32,141
24,174
87.803
972,824
20,917
11,240
29,875
10,970
19,595
32,846
12,675
14,766
14,034
959
10,002
1,442
585
3,520
506
6,602
13,366
2,704
841
2,068
11,813
1,496
565
8,249
5,602
890
1,904
1,304
936
1,699
868
2,221
2,766
10,458
2,137
1,362
1,362
2,848
9,863
828
589
3,645
1,688
7,241
6,436
583
707
565
4,774
958
756
571
1,979
1,495
1,038
5,790
109,134
982
792
1,690
442
1,581
2,596
473
1,254
608
962
10,051
1,450
587
3,539
509
6,624
13,414
2,712
845
2,084
11,842
1,504
567
8,308
5,620
904
1,906
1,310
947
1,714
869
2,221
2,768
10,501
2,139
1,367
1,362
2,863
9,957
830
590
3,673
1,694
7,269
6,481
584
710
572
4,805
963
765
575
2,046
1.496
1,047
110,174
983
792
1.700
443
1,583
2,602
474
1,257
608
5
219
I
14
14
12
2
25
2
80
158
13
25
13
3
9
II
16
18
67
616
13
8
13
158
21
7
49
192
352
52
48
123
18
5
156
99
4
13
48
15
55
II
19
55
178
106
37
19
42
204
56
38
134
347
2
8
3
111
40
11
9
53
19
II
49
3,485
96
711
13
17
77
68
410
699
148
99
200
498
264
171
484
269
74
67
43
49
195
12
388
98
645
160
148
426
396
1,078
32
41
224
98
329
946
8
144
32
175
115
64
17
189
273
65
445
2,811
59
34
115
24
93
90
31
35
35
213
1,876
370
100
697
142
1,494
2,919
742
166
496
1,949
332
183
1,088
1,317
218
489
409
268
367
146
378
461
2,327
415
266
180
450
1,930
195
114
686
376
1,522
1,774
108
156
125
1,012
275
280
113
320
203
331
1,215
21,967
178
287
297
74
473
516
95
267
89
542
6,094
908
430
2,322
252
3,869
8,506
1,620
514
1,200
7,187
784
163
5,595
3.481
539
1.125
648
558
989
631
1.323
1.811
6.735
1.308
832
681
1,793
5,206
438
419
2.274
1.111
4,776
2,593
441
372
340
3,108
471
344
376
1,302
906
569
3,761
65,314
658
365
1,056
315
925
1.700
324
725
464
80
1.128
115
29
349
33
549
718
127
45
105
2,037
63
40
896
353
45
208
147
41
83
62
110
330
523
115
51
46 .
150
1,353
153
14
396
52
448
705
22
23
62
339
41
54
47
97
78
43
248
14,722
55
94 .
153
16
57
187
12
198
13 .
152
Table 8. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cily by Stale
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*
TEXAS— Continued
25,495
14,616
12,438
11,923
47,925
12,981
32,903
42,430
22,983
78.423
13.571
23.136
15.309
12.473
57.246
11.365
11,928
107.672
20,796
18,883
15,386
22,738
13,428
16,081
99,990
16,516
38,576
16,462
14,145
22,555
14,691
47,985
34,475
12,507
32,918
67,252
71,095
91,377
25,889
29,993
168,304
78.985
12.858
12.738
10.658
14.679
14.613
45,135
91,526
39,676
18,464
961
909
777
730
3,543
1.000
3,146
4,093
1,008
9,743
832
784
286
841
5.229
571
234
10,563
523
2,102
768
1,913
375
1,000
8,806
738
1,215
775
493
753
376
1,993
1,495
1.234
4.035
5.824
3.121
3.816
1.147
1.603
20.345
3,766
425
650
1.947
706
676
1.754
6.322
3.034
868
967
910
780
732
3.552
1.003
3,164
4,125
1,040
9,781
835
784
292
856
5,242
574
234
10,585
526
2.108
771
1.925
375
1,001
8,875
738
1,219
778
493
760
382
2,005
1,498
1,235
4,061
5,849
3,125
3,842
1,147
1.610
20,455
3,778
426
650
1,957
707
676
1.754
6,345
4
6
5
3
90
13
20
31
4
111
1
1
II
13
5
II
79
54
132
140
7
256
17
23
3
11
132
4
11
359
17
31
5
12
9
15
303
4
4
3
2
5
2
13
3
13
34
98
6
27
7
6
470
32
34
109
58
47
463
106
298
120
26
589
85
6
38
244
527
26
17
842
17
164
49
96
8
36
617
II
33
8
4
28
40
14
52
83
215
30
59
101
33
646
107
16
19
46
20
13
43
194
41
20
182
194
208
160
617
213
656
736
208
1,985
140
113
93
165
1,329
88
48
2,513
89
346
200
501
102
162
1,805
88
144
143
48
79
55
279
165
235
568
862
367
542
138
216
3.394
744
106
81
292
84
91
216
898
590
151
650
542
479
491
2.069
558
1,897
2,646
727
5,795
559
593
142
401
2,910
423
132
5.598
363
1,450
457
1,000
211
680
5,453
609
982
597
419
587
295
1,564
1,274
861
3,190
4,354
2,622
3,000
847
1,244
14,266
2,751
249
504
1,460
580
515
1,428
4,958
2,254
665
80
45
20
15
222
53
136
412
36
1,002
29
48
9
15
301
29
24
1.096
27
101
53
300
45
96
524
23
49
23
18
47
11
69
27
63
144
244
85
145
43
100
1.368
107
47
32
108
14
45
50
124
114
19
6
1
Swetflwaier
2
3
3
3
7
8
3
2
9
Terrell
3
18
32
The Colony
Tvler
32
5
1
38
3
University Park
Uvalde
1
1
5
1
6
4
25
15
13
Vidor
3
2
134
10
7
4
4
Waco
21
22
3
3
6
Weatherford
3
12
While Settlement
3
11
8
93
3
3
1
2
7
6
26
11
10
16
45
II
42
10
4
187
24
7
11
7
4
9
II
69
21
7
1
69
4
3
Clearfield
7
6
La\'ion
2
1
12
3
1
Murray
26
Ogden
6
25
Orem . .
4
1
1
26
St George
7
14
1
110
12
1
3
34
3
3
6
73
11
5
South Salt Lake
10
Springville
1
1
Tooele
West Valley
VERMONT
6
3
1
23
Rutland
153
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
City by Slate
Population
Crime
Index
total
Modiried'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
VIRGINU
Alexandria
Alexandria State Police
Arlington
Arlington State Police .
Blacksburg
Bristol
Charlottesville
Chesapeake
Chesapeake State Police
Christiansburg
Colonial Heights
Danville
Danville State Police
Fairfax City
Fairfax City State Police ...
Fredericksburg
Fredericksburg State Police
Front Royal
Hampton
Hampton State Police
Harrisonburg
Harrisonburg State Police
Hemdon
Hopewell
Leesburg
Lynchburg
Manassas
Martinsville
Martinsville State Police
Newport News
Newport News State Police
Norfolk
Norfolk State Police
Petersburg
Petersburg Slate Police .
Poquoson
Portsmouth
Portsmouth State Police
Pulaski
Pulaski Slate Police ...
Radford
Richmond
Richmond State Police
Roanoke
Roanoke State Police
Salem
Salem State Police ...
Staunton
Suffolk
Suffolk State Police
Vienna
Virginia Beach
Virginia Beach State Police
Waynesboro
Williamsburg
Williamsburg State Police
Winchester
114,590
176,174
35,649
18,990
41,577
156,633
15,463
16,556
54,681
20,222
19,609
12,243
137,893
31,647
16,633
23,808
16,698
68,072
28.813
16,656
175,256
269.347
39,561
11,341
107,091
10,290
16,428
209,279
99,351
24,483
25,209
53,739
15,306
405,116
19,116
11,882
22,618
7,544
6
10,234
991
889
2,441
8,874
17
872
925
2,376
4
1,281
2
833
13
485
8,075
1,665
2
626
1,430
585
3,656
1,438
1,269
1
12,516
6
22,643
21
3,586
3
153
9,385
4
521
15
530
22,246
17
7,585
7
770
I
877
3,101
439
21,132
18
825
596
1
1,802
7,586
6
10,265
8
994
899
2,450
8,948
17
873
925
2,379
4
1,314
2
845
13
490
8,136
1,671
2
632
1,430
585
3,702
1,443
1,277
1
12,592
6
22,796
21
3.598
3
153
9,481
4
530
15
530
22,400
17
7,652
7
775
1
880
3,128
4
440
21,343
18
832
598
1
1,809
33
117
9
23
115
260
40
397
330
311
291
5
13
91
340
40
40
166
448
178
46
1
153
22
37
36
1
11
312
1
16
88
1
9
283
1
35
16
45
9
112
36
21
15
101
15
354
44
93
648
1,215
1
210
1.147
1
1,153
2
266
660
6
20
513
I
50
24
1.459
3
228
15
,356
1
309
129
39
339
931
1,165
122
159
281
1,766
128
79
402
1
138
123
63
1,035
230
63
252
91
589
181
170
2,237
3,787
1
1,006
10
1,401
81
59
4.677
1.288
112
122
673
II
612
1
6
7
367
54
3,709
50
10
230
106
49
242
4.729
3
7.233
6
793
635
1.778
5.496
14
663
776
1.671
1
1,003
2
536
9
376
5,717
4
1,326
511
987
424
2,390
1,065
928
1
7,489
5
13,967
14
1.818
119
5.480
1
359
14
405
12.046
11
5.354
7
611
1
699
1.679
347
15.108
16
618
492
1
1,254
1,137
2
1.165
2
27
41
96
755
3
45
36
116
1
79
42
2
21
667
2
52
2
19
34
41
173
89
47
847
2.182
2
237
3
1.230
1
21
27
2.413
2
351
33
6
235
19
1.160
1
40
44
154
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — Continued
Cit> b> State
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
ncgligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
VIRGINIA— Continued
Winchester State Police
3
1,766
437
2,179
4,978
4,429
925
2,641
895
1,120
1,079
836
5,569
5,817
992
3,373
3,961
2,315
1,401
3,136
595
428
1,530
1,022
1,586
679
2,608
2,151
1,272
545
1,951
1,676
4.551
1.314
2.086
65.400
15,762
1,431
19,991
3,092
724
3,229
2,640
2,279
7,391
1.310
369
7.119
590
887
3.937
1,167
1,319
3
1,774
440
2,207
5,040
4,447
933
2,668
898
1,125
1,079
840
5,660
5,846
998
3,380
4,023
2,325
1,403
3,177
598
432
1,539
1,032
1,594
689
2,617
2,159
1,286
550
1,968
1,692
4,585
1,325
2,098
65,824
15,846
1,431
20,148
3,095
726
3,256
2,660
2,287
7,445
1,310
370
7,195
592
888
3,996
1,178
1,332
1
38
25
113
101
109
10
160
40
29
13
20
116
219
25
98
92
86
37
47
13
9
45
34
23
15
85
163
24
57
31
16
91
45
77
4,337
1,092
109
2,074
97
23
303
191
72
515
63
19
518
14
42
161
35
56
2
1,440
363
1,512
3,822
3,472
684
1,645
633
671
770
662
3,877
3,840
678
2,671
2,468
1,645
1,081
2,521
438
297
1,177
714
1,240
581
2,021
1,428
969
351
1,523
1,212
3,238
1.018
1.195
41.125
10,716
1,021
11,291
2,290
532
1,917
1,743
1,786
4,735
1,025
233
4,529
428
621
2,687
906
993
WASHINGTON
17.481
12.084
34.933
91.680
55.066
13.027
40.251
12.770
18.239
32.444
13.044
73.832
69.142
12.473
44.487
40.060
42.268
20.345
30.282
10.899
21.967
11.856
20.388
18.622
18,126
35,712
21.462
18,689
24,776
25,195
37,781
43,994
34,102
23,227
544,940
187,002
11,859
186,440
12,530
10,527
48,945
27,943
22,959
57,860
18,484
12,887
57,998
18,244
20,417
55,409
14,217
26,145
1
25
35
21
48
7
65
8
42
7
4
88
109
48
31
25
16
10
11
3
3
19
7
8
12
24
29
II
7
17
18
37
17
60
353
92
14
309
37
16
41
38
26
69
2
1
39
3
5
81
26
185
35
282
707
553
177
459
165
191
227
115
870
906
171
413
796
388
204
309
92
93
233
202
219
57
321
340
207
112
244
284
595
193
355
9,250
2,791
198
3,430
299
115
596
540
293
1,591
152
98
1,308
106
169
809
147
214
51
13
207
262
215
40
223
30
155
41
33
481
603
56
136
444
148
60
204
39
25
52
52
78
13
125
149
54
15
112
127
496
35
336
7,698
685
81
1,845
289
32
282
107
79
309
40
6
468
31
37
72
44
28
8
3
30
64
31
7
84
18
31
20
2
136
134
14
24
134
32
8
44
10
1
4
13
18
1
30
40
7
1
21
18
89
6
63
2,577
374
8
1,011
78
6
90
21
21
170
27
11
251
6
8
120
34
19
28
Bellevue
1
1
62
Bellinflham
18
Bolhell
8
5
1
1
1
27
Ceniralia
3
Des Moines
5
4
1
6
91
Federal Way
29
Kelso
6
Kennewick
7
Kent
2
62
Kirkland
10
1
2
41
Marysville
3
4
9
Mountlake Terrace
10
8
Oak Harbor
10
2
2
9
Pasco
8
14
2
3
1
5
5
Puvallup
17
16
Renton
34
Richland
II
Sea Tac
12
Seattle
60
12
424
84
Sunnyside
Tacoma
31
2
157
3
Tumwaier
2
Vancouver
27
Walla Walla
20
Wenaichee
2
2
1
1
6
2
5
7
1
8
Yakima
54
WEST VIRGINIA
Beckley . .
Bluefield
1
76
Clarksburg
2
1
Huntington
59
Manmsburg
II
Morgantown
8
13
155
Table 8. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992 — 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
WEST VIRGINIA— Condnued
Moundsville
Parkersburg
Si. Albans
South Charleston
Vienna
Weirton
Wheeling
WISCONSIN
Appleton
Ashwaubenon
Beaver Dam
Beloit
Brookfield
Brown Dear
Caledonia
Cedarburg
Chippewa Falls
Cudahy
De Pere
Eau Claire
Fitchburg
Fond du Lac
Fort Atkinson
Franklin
Germantown
Glendale
Green Bay
Greendale
Greenfield
Janesville
Kaukauna
Kenosha
La Crosse
Madison
Manitowoc
Marinette
Marshfield
Menasha
Menasha Town
Menomonee Falls
Menomonie
Mequon
Merrill
Middleton
Milwaukee
Monroe
Mount Pleasant
Muskego
Neenah
New Berlin
Oak Creek
Oconomowoc
Onalaska
Oshkosh
Pleasant Prairie
10,863
34,210
11,308
13,785
10,973
22,350
35,242
67,240
16,760
14,529
36,409
36,011
12,524
22,186
10,127
13,026
19,098
16,959
58,193
16,016
38,646
10,467
22,369
13,979
14,419
98,738
15,483
34,188
53,360
12.263
82,243
52,203
195,767
33,285
12.121
19,743
15,057
14.150
27,472
13,865
19,329
10.091
13,601
643,017
10.481
21,252
17.208
23.765
34.382
19,972
11.251
11.548
56.301
12,242
563
1,421
448
379
303
541
1,028
2,617
936
1,046
2,717
1,509
460
474
228
409
774
603
3,047
519
2,806
527
532
452
1,043
4,695
755
1,676
3,772
428
4,579
3,053
11,508
1,492
512
707
682
409
805
925
226
553
470
55,742
366
716
299
877
849
838
369
669
3,626
401
563
1,452
450
380
303
550
1,041
2,630
936
1,046
2,726
1,509
463
486
232
410
775
606
3.086
521
2,833
530
535
455
1,049
4.700
755
1,682
3.799
428
4,618
3,056
11,575
1.501
514
709
683
410
806
931
228
553
470
56,204
369
718
301
885
874
839
373
669
3,633
401
146
I
2
514
7
6
122
10
281
5
5
4,334
2
19
2
3
2
4
4
3
14
I
16
23
35
31
44
1
4
6
6
24
16
46
1
126
4
1
1
342
1
5
107
5
191
14
348
23
11
25
2
1.328
143
314
68
55
12
122
359
349
49
107
419
158
46
129
32
40
132
109
510
95
217
50
88
49
97
631
38
210
637
58
799
174
1.956
146
26
103
97
68
135
95
37
66
81
8.742
53
139
55
101
159
113
56
46
384
43
381
939
349
262
277
353
413
2,178
843
877
2,075
1,189
365
300
183
345
539
449
2,382
387
2,347
456
410
389
768
3,425
679
1.283
2.865
353
3.159
2.777
8.209
1.268
464
560
557
322
570
792
177
477
363
26.437
289
477
229
715
632
641
268
588
3.079
328
32
88
21
45
8
22
100
54
18
24
134
95
44
37
3
13
58
24
98
24
75
12
27
12
128
209
24
147
133
10
262
69
630
42
10
13
16
19
67
31
9
9
17
14.241
7
53
II
29
25
59
13
27
85
14
156
T«ble 8.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1992— Continued
Cily by Slate
WISCONSIN— Continued
Racine
River Falls
Sheboygan
Shorewood
South Milwaukee
Stevens Point
Sun Prairie
Superior —
Two Rivers
Watertown .
Waukesha . .
Wausau —
West Allis
West Bend ...,
Weston
Whiiefish Bay
Whitewater ...
Wisconsin Rapids
WYOMING
Casper ...
Cheyenne
Evanston
Gillette ..
Green River
Laramie
Rock Springs
Sheridan
Population
86,282
10,858
50,845
14,447
21.450
23,547
15,693
27,772
13,336
19,591
58,299
37,932
64,709
24,479
11,421
14,607
12.933
18,673
48,020
51.409
11,201
18,117
13,058
27,416
19,570
14,279
Cnmc
Index
total
6,769
446
3,037
577
892
1,685
732
1,899
452
843
2,014
1,945
3,152
1,313
345
302
427
1,063
3,416
2,970
633
1,189
621
1,086
1,615
552
Modilled'
Crime
Index
total
6,825
447
3,085
577
909
1,700
742
1,926
453
845
2,029
1,952
3,196
1,324
347
303
431
1,064
3,484
2,973
634
1,196
626
1,091
1,616
556
Murder
and non-
negligent
man-
slaughter
Forcible
rape
14
Robbery
345
1
17
27
9
3
5
21
2
8
33
10
76
8
1
3
1
Aggra-
vated
assault
418
2
55
2
13
38
5
37
3
6
76
6
71
35
8
2
II
48
250
87
12
86
31
59
134
22
Burglary
1,341
22
356
78
202
211
79
380
54
HI
268
189
399
83
37
33
51
103
596
267
95
93
69
102
209
65
Larceny-
theft
Motor
vehicle
then
3,913
407
2,513
426
614
1,378
618
1,332
378
697
1,500
1,670
2,288
1,153
284
251
356
888
2,398
2,526
499
975
489
867
1,167
435
719
II
81
44
50
44
20
111
13
18
123
62
311
29
13
11
7
20
138
58
21
22
22
43
78
23
56
1
48
17
15
10
27
1
2
15
7
44
II
2
1
4
68
3
1
7
5
5
1
4
'Forcible rape figures furnished by the slate-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.
157
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1992
• Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data.
University/College
Student
enroll-
ment'
Violent'
cnme
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Properly'
crime
total
Property Crime
Bui^ary
Larceny-
thef)
Motor
vehicle
theft
ALABAMA
Auburn University:
Main Campus
Montgomery
Enterprise State Junior College
Jacksonville State University
Livingston Slate University
Troy State University
University of Alabama, Tuscaloosa
University of Monlevallo
University of South Alabama
ARIZONA
Arizona State University
Arizona Western College
Central Arizona College
Nonhem Arizona University
Pima Community College
University of Arizona
Yavapai College
ARKANSAS
University of Arkansas:
Fayetteville
Little Rock
Medical Science
Pine Bluff
University of Central Arkansas
CALIFORNIA
Allan Hancock College
Cabrillo College
California State Polytechnic University
San Luis Obispo
Pomona
California Stale University:
Bakersfield
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northridge
Sacramento
San Bernardino
San Jose
Stanislaus
College of the Sequoias
Contra Costa College
Foothill College
Fresno City College
Humboldt State University
Kings River Community College
Marin Community College
Pasadena City College
San Bernardino Community College .
San Diego State University
San Francisco State University
San Jose/Evergreen Valley Community
College
Santa Rosa Junior College
Sonoma State University
University of California:
Berkeley
Davis
21,836
6,485
2,123
8,240
2,086
4
19,793
3,256
11,990
42,615
5,112
4,314
17,689
29,088
35,210
4,481
14,151
11,779
1,516
3,459
9,057
9,636
13,570
17,572
18,772
5,429
15,669
10,358
19,820
25,424
13,127
32,335
20,801
30,441
25,862
12,560
4
5,786
8,173
7,910
13,358
18,712
7,815
4,729
4
21,392
4
33,406
27,913
25,061
7,538
30,796
24,011
444
54
1
116
13
S6
460
25
63
1,292
41
42
474
169
1,336
54
302
108
233
121
161
51
486
460
53
497
183
680
475
146
572
516
711
409
228
521
126
65
301
166
357
205
60
53
253
66
1,029
488
143
317
198
1,675
1,372
14
6
32
53
71
19
57
55
76
27
5
77
3
109
30
74
40
4
31
27
19
12
5
5
1
9
II
49
36
145
66
434
46
1
100
13
54
414
19
50
125
1,130
6
35
22
19
15
450
28
131
119
1,175
5
49
257
98
202
79
133
45
45
427
343
31
428
102
528
420
135
384
417
542
317
132
466
119
31
246
146
278
199
50
51
216
52
834
371
126
295
182
1,485
1,292
37
1
9
10
42
6
46
3
12
26
76
28
6
111
96
60
62
22
15
3
3
28
1
67
1
5
I
28
3
146
81
9
1
2
45
14
See footnotes at end of table.
158
Table 9. — Number of OfTenses Known to the Police, Universities and Colleges, 1992 — Continued
Univereity/Colkge
Student
enroll-
ment'
Violent-
cnme
total
Violent Crime
Murder
and non-
ncgligent
man-
slaughter
Forcible
Robber>
Aggra-
vated
assault
Property'
cnme
total
Property Crime
Burglary
Larceny-
thcfl
Motor
vehicle
Iheft
CALIFORNIA— Continued
Irvine
Lawrence Livermore Laboratory
Los Angeles
Riverside
Sacramento
San Diego
San Francisco Medical School
Santa Barbara
Santa Cruz
West Valley College
COLORADO
Adains Slate College
Arapahoe Community College
Auraria Higher Education Center
Colorado School of Mines
Colorado Slate University
Pikes Peak Community College
Red Rocks Community College
University or Colorado:
Boulder
Health Sciences
University of Denver
University of Northern Colorado
University of Southern Colorado
CONNECTICUT
Eastern Connecticut State University .
Central Connecticut State University .
Southern Connecticut Stale University
University of Connecticut:
Avery Point
Health Center
Slorrs
Western Connecticut State University
Yale University
FLORIDA
Florida A&M University
Florida Atlantic University
Florida International University
Florida State University:
Panama City
Tallahassee
University of Central Rorida
University of Florida
University of North Florida
University of South Florida:
St. Petersburg
Sarasota
Tampa
University of West Florida
GEORGIA
Agnes Scott College
Albany Slate College
Armstrong Slate College
Berry College
Brunswick Junior College
Cherokee College
Clayton State College
Columbus College
DeKalb College
Georgia College
Georgia Institute of Technology
16,897
4
36.613
8.755
4
17.876
4
18.483
10.103
14,709
5.402
7.382
4
3.092
27.080
8.837
6,118
28.836
2,191
7,878
12,620
4,641
4,326
14,112
12,935
4
467
24,844
5,886
11,059
9.196
13,864
23,841
28.521
21,424
36,227
8,763
8,064
613
2,746
4,702
1,740
1,618
4
4.544
4.553
15.282
5,350
12,814
770
42
1,544
363
323
1,037
843
804
414
128
111
36
517
64
63
47
3
979
293
255
327
63
132
95
208
15
104
530
113
921
204
231
327
1
722
177
1,604
118
33
46
654
114
41
18
42
50
14
20
43
68
77
33
1,179
98
610
43
21
143
87
72
92
43
132
9
40
39
7
51
22
112
1
5
29
3
I
136
639
42
793
292
267
761
744
724
309
83
105
32
463
54
59
47
1
824
281
191
288
56
7
124
1
93
47
159
I
13
16
83
99
422
35
74
317
583
193
188
260
I
628
153
1,392
118
28
43
572
85
35
10
35
48
14
19
37
37
71
32
937
33
141
28
35
133
12
8
13
2
4
21
23
3
24
I
1
2
1
5
9
4
21
10
29
37
43
2
100
32
5
106
See footnotes al end ot table.
159
Table 9.— Number of Offenses Known to the Police, Universities and Colleges, 1992— Continued
Unjversity/College
GEORGIA— Continued
Georgia Southern University
Georgia Southwestern College
Georgia State University
Gordon College
Kennesaw Slate College
Mercer University
North Georgia College
Reinhardt College
Southern Georgia Technical Institute
South Georgia College
University of Georgia
Wesleyan College
West Georgia College
ILLINOIS'
Black Hawk College
Chicago State University
Illinois Stale University
Loyola University of Chicago
Northeastern Illinois University
Northern Illinois University
Oakton Community College
Southern Illinois University;
Carbondale
Edwardsville
Triton College
University of Illinois:
Chicago
Urbana
William Rainey Harper College
INDIANA
Ball Stale University
Indiana State University
Indiana University:
Bloomington
Gary
Indianapolis
New Albany
Purdue University
IOWA
Iowa State University
KANSAS
Emporia State University
Fort Hays State University
Kansas State University, Manhattan
Pittsburg State University
University of Kansas:
Lawrence
Medical Center
Wichita Stale University
KENTUCKY
Eastern Kentucky University ..
Jefferson Community College .
Kentucky Slate University
Morehead State University
Murray Stale University
Northern Kentucky University
University of Kentucky
University of Louisville
Western Kentucky University .
Student
enroll-
ment'
13,410
2,301
23,966
1,709
10,902
6,092
2,699
795
4
1,293
28,691
476
7,513
8,004
22,510
15,834
11,274
24,895
13,473
24,863
11,808
16,767
24,659
38,755
17,562
21,211
11,931
35,487
38,068
25,773
6,033
5,599
20,712
6,154
26,655
2,488
15,311
16,463
10,961
2,533
8,802
8,313
11,520
23,541
22,933
15,675
Violent-
crime
total
Vjolenl Crime
Murder
and non-
negligent
man-
slaughter
46
14
Forcible
rape
Robbery
10
Aggra-
vated
assault
Propertyi
crime
total
38
10
341
39
433
7
50
118
20
5
53
33
623
19
246
55
129
632
224
185
634
92
783
224
260
1,231
686
101
941
437
1,075
58
769
49
1,084
650
Property Crime
Burglary
1
138
3
68
4
478
4
106
1
556
1
287
2
243
268
25
67
221
92
124
897
412
328
Larceny-
theft
4
83
6
26
108
75
18
7
31
106
165
22
41
20
146
25
III
4
28
323
27
416
7
46
105
20
5
26
30
573
II
190
55
124
541
212
157
518
92
694
198
244
1,153
566
101
837
409
869
53
727
48
1,027
623
96
48
325
76
434
276
200
255
25
55
178
77
123
828
376
311
Motor
vehicle
theft
2
1
12
3
15
2
14
8
9
47
14
18
12
41
5
28
7
5
II
7
15
2
2
I
I
15
9
6
I
10
See footnotes at end of table.
160
Table 9.— Number of Offenses Known to the Police, Universities and Colleges, 1992— Continued
Universily/College
LOUISIANA
Louisiana State University. Balon
Rouge
Louisiana Tech. University
McNeese State University
Nichols Slate University
Northeast Louisiana University —
Southeastern Louisiana University
Southern University. Baton Rouge
MAINE
University of Maine. Orono ..
University of Southern Maine
MARYLAND
Bowie Stale University —
Coppin Stale University ..
Frostburg State University
Morgan State University . .
St. Mary's College
Salisbury State University .
Towson State University ..
University of Maryland;
Baltimore City
Baltimore County
College Park
Eastern Shore
University of Baltimore ...
MASSACHUSETTS
Boston College
Boston University
Brandeis University
Emerson College
Framingham State College
Massachusetts Institute of Technology
North Adams Slate College
Northeastern University
Wentworth Institute of Technology ...
MICHIGAN
Central Michigan University
Delta College
Eastern Michigan University
Ferris State University
Grand Valley Slate University
Hope College
Lansing Community College
Macomb Community College
Michigan Slate University
Michigan Technological University .
Northern Michigan University
Oakland Community College
Oakland University
Saginaw Valley Stale University ....
University of Michigan. Ann Arbor
Western Michigan University
MINNESOTA
Student
enroll-
ment'
University of Minnesota
10.312
7,786
7.519
11.189
11.298
12.804
10,423
4,434
2,816
5.239
5,034
1,569
5,884
15,398
4,982
10.366
34,621
2,397
5.979
14,401
28,086
3.770
2,927
6,040
9,541
2,385
28,887
3.611
17,812
11.188
23,958
12.421
12.412
2,746
21,779
31,804
42,790
6,921
8,652
28,852
12,530
6,271
35,343
27,901
56.350
Violent-
cnme
total
Violent Cnme
Murder
and non-
negligent
man-
slaughter
16
Forcible
rape
Robtwry
Aggra-
vated
assault
3
10
878
7
255
6
122
4
41
9
303
6
132
13
387
Properly'
cnme
total
10
349
91
59
74
81
272
80
161
429
651
295
1,532
104
125
374
1,063
117
62
23
718
36
515
65
391
124
545
400
136
156
148
170
1,896
177
185
139
100
86
2,026
554
1,356
Properly Crime
Burglary
151
35
32
13
5
9
24
38
47
9
112
13
3
105
32
81
238
13
4
17
146
15
5
2
18
2
43
II
22
19
15
3
2
6
267
7
8
7
1
2
160
14
87
Larceny-
theft
690
218
89
28
297
122
346
336
82
17
16
72
158
66
152
313
608
204
1,224
88
115
Motor
vehicle
theft
344
13
874
43
9
102
54
3
3
21
642
58
34
5
463
9
57
379
1
8
173
518
5
10
374
7
120
150
3
3
145
1
144
20
1,554
75
10
170
167
10
7
126
6
98
1
84
1,841
25
20
538
2
11
1,254
15
6
See fooinotcs at end of tabic.
161
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1992 — Continued
University/College
Student
enroll-
ment'
Violent'
ctnme
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Property^
cnme
total
Properly Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSISSIPPI
University of Mississippi
University of Mississippi, Medical
Center
MISSOURI
Central Missouri State University
Lincoln University
University of Missouri:
Columbia
St. Louis
Washington University
NEBRASKA
University of Nebraska:
Lincoln
Kearney
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
New Brunswick
Newark
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
NEW YORK
Ithaca College
Rensselaer Polytechnic Institute
State University of New York:
Albany
Binghamton
Buffalo
College of Technology
Downstate Medical Center
11,382
1,676
11,621
4,101
24,726
15,611
11,673
24,620
8,568
19,145
11,706
13,629
11,967
7,116
7,758
11,695
11,739
4,193
13,745
7,393
9,799
5,488
33,376
9,831
5,708
6,966
9,698
3,879
2,602
15,344
24,092
6,443
6,895
18,805
11,883
26.012
2,573
1.591
270
200
225
86
601
156
175
928
117
473
345
355
88
17
37
265
82
150
366
249
121
140
872
278
81
207
14
857
79
173
82
97
574
979
215
278
509
44S
600
149
270
62
175
155
69
7
48
93
95
152
35
4
203
183
162
80
538
112
156
853
97
257
188
286
83
17
28
198
68
135
289
190
100
116
797
230
74
171
14
603
70
161
63
87
523
891
208
228
411
3S0
424
114
266
17
11
1
41
2
33
14
5
46
34
4
34
16
2
19
219
I
2
1
32
40
2
5
24
See rooinotes at end or table.
162
Table 9.— Number of Offenses Known to the Police, Universities and Colleges, 1992— Continued
Universily/CoUegc
NEW YORK— Continued
Maritime College
Stony Brook
Upstate Medical Center
State University of New York
Agricultural and Technical College:
Alfred
Canton
Cobleskill
Farmingdale
Morrisville
State University of New York College:
Brockport
Buffalo
Cortland
Environmental Science and Forestry .
Fredonia
Geneseo
New Pallz
Old Westbury
Oneonta
Optometry
Oswego
Plaitsburgh
Potsdam
Purchase
Utica-Rome
NORTH CAROLINA
Davidson College
Duke University
East Carolina University
Elizabeth City State University
Fayetteville State University
North Carolina A & T State University,
Greensboro
North Carolina Central University
North Carolina State University,
Raleigh
Pembroke State University
Queens College
University of North Carolina:
Asheville
Chapel Hill
Charlotte
Greensboro
Wilmington
Western Carolina University
Winston-Salem State University
NORTH DAKOTA
University of Nonh Dakota
OHIO
Baldwin Wallace College
Bowling Green State University
Cleveland State University
Kent State University
Lakeland Community College
Marietta College
Miami University
Ohio State University
Ohio University
University of Cincinnati
University of Toledo
Wright State University
Youngstown State University
Student
enroll-
ment'
871
17,696
3.508
2.298
9,680
9.543
12,462
7.215
1.709
4.957
5.672
8.468
4.193
6,018
279
8,750
6,329
4,758
4,262
2,614
1,555
11,335
17,926
1,773
3,736
7,199
5,385
27,791
2,944
1,624
3,225
23.833
15.584
12.586
8.901
6.519
2.637
11,730
4,720
18.685
18,607
24,525
8.940
1.304
16.318
54.311
18.688
30,051
24,947
16,789
15,164
Violent-
cnme
total
10
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
13
Aggra-
vated
assault
Properly'
crime
total
33
1,019
413
125
146
123
160
151
172
339
196
14
144
157
124
89
93
9
239
103
154
163
32
69
1.159
562
36
81
304
122
985
39
68
51
702
321
228
309
123
24
279
60
519
402
492
35
46
442
1,776
355
1.164
284
313
142
Property Crime
Burglary
14
215
17
124
111
26
26
37
23
179
9
38
I
217
41
38
14
10
5
9
5
263
22
144
9
21
6
Larceny-
then
19
787
408
89
141
65
117
132
123
265
178
13
138
151
110
75
90
9
216
80
153
152
30
52
1.017
447
10
52
252
96
797
28
29
48
469
271
190
292
108
17
267
50
429
306
479
35
36
437
1.476
330
1,007
262
289
129
Motor
vehicle
Ihefl
17
5
4
15
1
18
4
15
3
9
2
I
2
16
9
1
10
81
4
37
3
13
13
3
7
See rooinotes at end of table.
163
Table 9. — Number of Offenses Known to the Police, Universities and Colleges, 1992 — Continued
University/College
Student
enroll-
ment'
Violent'
cnme
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Properly'
crime
total
Propeay Cnme
Bursary
Larceny-
theft
Motor
vehicle
theft
OKLAHOMA
Cameron University
Central Slate University
East Central State College
Murray State College
Nonheastem Oklahoma State
University
Oklahoma State University:
Main Campus
Okmulgee
Southeastern State College
Tulsa Junior College
University of Oklahoma:
Health Science Center
Norman
PENNSYLVANIA
Bloomsburg University
Clarion University
East Stroudsburg University
Edinboro University
Elizabethtown College
Indiana University
Lehigh University
Lock Haven University
Moravian College
Pennsylvania State University:
Altoona Campus
Behrend College
University Park
Shippensburg University
University of Pittsburgh, Bradford . .
West Chester University
RHODE ISLAND
University of Rhode Island
SOUTH CAROLINA
Clemson University
Denmark Technical College
Francis Marion College
Lander College
Medical University of South Carolina
South Carolina State College
Trident Technical College
University of South Carolina:
Aiken
Coastal Carolina
Columbia
SOUTH DAKOTA
South Dakota State University
TENNESSEE
Austin Pcay State University
East Tennessee State University
Middle Tennessee State University ..
University of Tennessee:
Knoxville
Martin
Memphis
5,803
1,582
19,770
2,167
4
18,650
2,907
21,250
7,720
6,209
5,494
8,165
1,799
14,620
6,555
3,712
1,865
2,446
38,989
6,696
1.241
11,959
15,387
17,295
711
3,903
2,693
2,283
5,145
8,012
3,256
3,983
26,131
8,673
7,670
11,940
15,673
26,266
5,479
1,859
19
10
49
132
51
5
145
345
84
45
60
44
675
102
117
111
101
43
230
185
56
42
43
53
954
90
17
174
266
460
24
88
51
615
103
89
15
52
716
219
85
194
303
716
107
238
70
23
117
45
124
37
1
118
258
72
37
58
38
580
97
115
105
99
40
214
176
55
34
42
49
877
87
13
148
235
427
22
66
35
593
79
88
14
42
651
102
16
69
6
184
55
239
44
672
2
105
15
204
3
3
2
I
6
25
18
1
45
19
See roolnoles at end of table.
164
Tsble 9.— Number of Offenses Known to Che Police, Universities and Colleges, 1992 — Continued
Universily/Cotlegc
TEXAS
Alamo Community College
Alvin Community College
Amarillo College
Angelo Stale University
Austin College
Baylor University
Baylor University Medical Center
Central Texas College
College of the Mainland
Corpus Christi Stale University
East Texas Stale University
Eastfield College
Hardin-Simmons University
Houston Baptist University
Lamar University
Laredo Junior College
McLennan Community College
Midwestern State University
North Harris Montgomery Community
College
North Uke College
Paris Junior College
Prairie Viev» A & M University
Rice University
Richland College
St. Mary's University
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
Galveston
Texas Arts & Industries University ..
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas Southmost College
Texas State Technical Institute:
Amarillo
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
University of North Texas
University of Texas:
Arlington
Austin
Dallas
El Paso
Galveston
Health Science Center. San Antonio
Health Science Center. Tyler
Houston
Pan American
Permian Basin
San Antonio
Southwest Medical School
Tyler
Student
enroll-
ment'
3.714
6.548
6,128
1.178
11,806
1,042
6,048
3,752
3,839
8,007
10,175
1.801
2,262
10.721
5,377
5,704
5,462
17.192
7,005
2,446
5,509
4,315
13.454
4.055
8,744
5,272
1,227
21,575
12,687
2,551
6,420
40,997
1.213
4
6,538
379
10,274
5,911
565
3,534
946
24,757
9,412
2,514
8,395
33,607
7,210
7,161
27,020
25,135
49,961
8.980
16.798
4
2,546
3,125
2.108
15,759
1.595
3,790
Violent'
crime
total
20
Violent Crime
Murder
and non.
ncghgenl
man-
slaughter
Forcible
rape
Robbery
20
Aggra-
vated
assault
Property'
crime
total
480
26
62
109
45
208
275
67
41
17
145
101
44
22
196
58
26
82
105
55
32
296
323
137
117
249
50
22
492
417
30
87
668
6
104
107
43
230
68
28
259
285
620
48
223
145
716
43
84
421
441
976
66
249
170
67
27
343
199
12
168
135
25
Property Crime
Burglary
17
Larccny-
Ihcft
436
24
59
101
43
177
247
59
39
15
120
98
30
11
149
49
26
65
97
52
26
184
272
132
87
217
39
16
386
339
14
52
580
5
83
81
39
153
60
21
185
265
514
36
150
110
648
42
79
380
397
898
64
218
167
61
25
333
131
12
157
124
22
Motor
vehicle
I heft
13
2
2
6
3
1
13
5
5
Sec foolnotes at end of table.
165
Table 9.— Number of Offenses Known to the Police, Universities and Colleges, 1992 — Continued
University/College
TEXAS— Continued
West Texas Stale University ...
UTAH
Brigham Young University
Salt Lake Community College . .
University of Utah
Utah Valley Community College
Weber State 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 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
See roolnotcs at end of table.
Studenl
enroll-
mcnl'
6,026
32,019
15,970
26,706
8,777
14,495
11,171
5,034
4
7,710
20,693
5,704
11,477
3,305
3,779
8,298
37,338
16,686
9,496
7,896
4,684
21,341
21,608
26.257
4,589
6,915
7,372
8,336
34,269
17.838
10,001
2,904
2,278
13,121
2,302
4,986
3,052
22,460
Violent-
crime
total
10,654
5,861
9,034
43,030
26,040
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
10
Property'
en me
total
155
669
128
958
206
108
414
15
16
402
573
85
244
84
111
246
192
375
199
32
189
629
652
590
108
2
311
1.36
991
512
244
33
II
126
22
55
21
455
230
55
113
1,217
345
Property Cnme
Burglary
19
27
6
175
58
22
Larccny-
Ihefl
84
16
649
1
126
41
906
14
192
7
101
390
Motor
vehicle
Ihcfl
15
13
380
3
10
498
2
1
40
'
182
82
1
104
5
1
201
5
16
182
8
8
1
1
2
4
330
190
31
156
611
1
633
10
1
560
4
2
96
2
1
2
281
3
3
130
795
21
18
447
7
6
216
3
28
9
123
1
1
21
52
15
396
4
230
1
53
91
3
2
1,132
29
16
318
7
1
166
Tible 9.— Number of Offenses Known to the Police, llniversities and Colleges, 1992 — Continued
Univereily/Collcgc
WISCONSIN— Continued
Oshlcosh
Parliside
Plalteville
Sioul
Superior
Whitewater
WYOMING
University of Wyoming
Student
enroll-
ment'
11.790
5,141
5,601
7.871
3,176
10.992
12,646
Violent-
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
crime
total
169
114
90
146
56
183
401
Property Crime
Burglary
33
Larceny-
thefl
168
109
87
143
51
162
368
Motor
vehicle
theft
'The student enrollment figures provided by the United States Department of Education are for 1991. the most recent year available. The enrollment figure includes full-lime and pan-time
students. See Appendix 1 for details
'Violent crimes arc ofTenses of murder, forcible rape, robbery, and aggravated assault.
'Properly crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
•Student enrollment figures were not available.
'Forcible rape figures furnished by the slate-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 and violent crime total categories.
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.
167
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992
[The data shown in Ihis table do not reflect county totals but are the number of ofTenses reported by the shenfTs 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 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
ALABAMA
Autauga
Baldwin
Blount
Calhoun
Colbert
Elmore
Etowah
Houston
Jefferson
Lauderdale
Lawrence
Limestone
Madison
Montgomery
Morgan
Russell
Si. Clair
Shelby
Tuscaloosa
ARIZONA
Maricopa
Mohave
Pima
Pinal
ARKANSAS
Benton
Crawford
Crittenden
Faulkner
JelTerson
Lonoke
Miller
Pulaski
Saline
Sebastian
Washington
CALIFORNIA
Alameda
Alameda Highway Patrol ...
Alameda State Police
Butte
Butte Highway Patrol
Butte Stale Police
Contra Costa
Contra Costa Highway Patrol
Contra Costa Stale Police ..
El Dorado
El Dorado Highway Patrol .
Fresno
Fresno Highway Patrol
Fresno State Police
Kern
Kern Highway Patrol
Kern State Police
Los Angeles
Los Angeles Highway Patrol
Los Angeles Slate Police
Madera
Madera Highway Patrol
Marin
Marin Highway Patrol
Merced
Merced Highway Patrol
233
1,391
509
491
127
823
562
229
6,540
319
260
287
1.612
929
462
354
410
367
1,788
5,907
1,119
11,805
1,628
826
306
584
417
606
137
453
2,438
1,187
242
524
4.386
74
178
3,468
288
48
6,002
670
20
2,786
230
8,929
156
87
17,244
186
17
49,560
497
521
1,990
141
1.682
102
1,938
239
234
6.701
1,619
5,915
1,132
11,928
1,630
827
307
587
417
612
137
456
2,477
1.190
242
529
4.418
178
3.604
52
6,069
20
2.806
8.949
87
18,068
17
50,282
529
2,086
1,692
1,943
10
10
228
29
23
101
138
359
36
5
18
3
10
1
14
5
2
140
2
2
3
29
19
6
5
3
8
25
75
6
135
214
I
292
265
I
494
5,471
22
99
92
138
388
772
23
220
225
50
195
218
12
52
53
89
334
355
44
225
251
18
62
130
965
1,658
3,171
22
152
120
45
95
97
62
91
107
131
522
847
158
298
390
40
188
194
55
120
146
49
141
191
14
180
135
272
520
822
281
31
479
94
65
18
72
28
31
4
27
518
62
16
26
680
1
15
375
1
7
431
3
249
1,009
2
3
2,753
12,672
230
44
113
198
147
1,574
626
2,240
632
1,073
26
1,361
2
1.831
2
1,210
2,900
10
4,591
9,805
101
915
357
741
3,352
325
7,625
710
303
413
97
154
187
259
142
227
244
261
56
41
169
205
621
1,038
383
622
65
148
260
197
1.957
11
121
1,604
64
35
3,388
81
12
1,255
46
3.084
37
58
8,006
74
17
12,411
22
298
889
13
1,053
11
976
45
13
62
35
4
8
24
24
14
530
18
15
22
62
59
29
18
16
19
133
573
126
1,232
133
38
34
44
16
48
35
29
163
92
31
425
62
12
26
223
2
4
589
I
26
184
1,532
117
15
1,231
112
8,614
245
62
2
128
15
91
194
168
Table 10. — Number of OfTenses Known to the Police, Suburban Counties, 1992 — Continued
County by State
trimc
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CAUFORNIA— Continued
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 State Police
San Joaquin
San Joaquin Highway Patrol . .
San Joaquin State Police
San Mateo
San Mateo Highway Patrol
San Mateo State Police
Santa Barbara
Santa Barbara Highway Patrol
Santa Clara
Santa Clara Highway Patrol . . .
Santa Clara State Police
Santa Cruz
Santa Cruz Highway Patrol
Shasta
Shasta Highway Patrol
Shasta State Police
Solano
Solano Highway Patrol
Solano State Police
Sonoma
Sonoma Highway Patrol
Sonoma Stale 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 Stale Police
Yuba
Yuba Highway Patrol
COLORADO
Adams
Arapahoe
Boulder
Douglas
El Paso
Jefferson
Larimer
10
2.760
189
1.361
52
4.500
106
40
3,558
248
22.596
79
41
33.547
7,408
840
14.910
69
122
27,104
139
92
5,539
870
44
3,197
19
11
4,535
202
3,550
201
33
4,471
328
2,057
206
10
773
64
3
4,857
537
67
5,262
498
6
1,288
43
4,911
678
2,010
45
4
710
55
17
2,378
143
10
2,920
1,364
4.586
41
3.573
22,754
41
33,688
850
15.035
124
27,278
92
5.665
45
3,203
11
4,561
3,558
37
4.495
2,061
10
787
3
4,895
67
5,533
6
1,289
5,278
2,059
4
723
2,390
4,255
4,302
3,558
3,580
1,215
1,252
1,009
1,037
2,428
2,446
5,160
5,218
1,192
1,203
55
12
30
122
287
I
120
2
175
91
23
64
68
30
2
149
305
106
420
48
44
548
333
1,534
2,759
15
1
2,857
469
1
1,010
158
44
1,408
9
3
2,902
5
2
304
20
428
2
325
7
2
500
3
156
I
I
106
428
152
9
1,074
2
191
477
38
311
4
10
134
1
35
447
313
120
54
46
216
86
15
861
384
1,141
9
1,223
7,260
10
9,404
71
5,478
24
7,927
12
2,384
7
1,033
1,658
837
4
1,272
700
3
387
1
1,609
15
1,855
526
1,720
555
2
255
4
658
1,010
926
368
255
673
1.105
287
8
1,660
17
622
12
2,212
22
31
1,912
71
8,874
2
30
19,103
608
636
5,674
7
86
10,710
35
70
2,541
116
31
1,388
8
2,295
56
2,223
14
26
2,564
78
1,131
25
6
240
14
1
2,667
191
39
2,051
37
6
504
1
2,547
54
913
17
2
294
8
5
1,201
2,346
2,275
675
681
1,389
3,591
833
13
172
18
40
593
36
15
177
2,990
62
317
6,800
80
1,709
53
6
4,325
99
8
49
754
2
637
19
1
37
144
82
180
II
247
7
180
7
346
4
45
459
624
160
24
9
135
445
190
67
20
106
294
50
169
Table 10. — Number of Oflenses Known to the Police, Suburban Counties, 1992 — 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
Arson*
COLORADO— Continued
Pueblo
787
1,216
9,463
6,533
3,653
8,194
12,410
4,521
7,902
122,025
14,643
841
1,243
4,270
38,464
3.090
9,942
4,107
11,867
6,770
4.456
1,269
3.505
35,503
4,447
31,306
10,024
14,302
16,195
4,207
2,805
2,772
10.261
7.610
6,381
491
1,639
181
228
883
2,938
79
1,801
9,222
16.088
208
48.161
35
333
1,810
544
2,193
10,702
15,574
361
997
228
413
1,346
243
792
1,227
9,526
6.560
3.666
8.230
12.462
4.521
7.951
122.123
14.717
841
1.244
4.294
38.612
3.098
9,952
4,128
11,929
6,796
4,457
1,274
3,505
35,550
4,457
31,476
10,078
14,381
16,203
4,219
2,816
2,773
10,293
7,648
6,408
492
181
228
883
83
1,825
9.279
211
35
333
1.823
549
10.740
15.672
364
1.003
228
418
1.348
243
5
12
182
57
61
49
125
76
134
649
136
3
36
27
282
46
93
46
86
87
32
9
232
48
180
58
167
96
16
31
45
37
80
84
3
15
3
5
6
II
116
170
27
124
610
52
208
7,488
581
9
49
31
924
36
295
73
302
165
126
25
68
1,253
128
774
119
209
385
62
52
21
116
188
122
2
29
1
4
4
43
37
88
632
562
489
684
1.494
491
801
10.650
2.129
33
262
558
3,511
384
445
648
1,456
1,196
194
145
298
3,559
391
2,808
815
1,211
1,442
376
284
419
570
902
676
12
71
20
35
19
17
6
68
417
664
7
1,137
182
400
2,114
1,806
832
1,871
2,603
948
2,212
23,014
3,593
224
397
1,069
8,259
1,015
2,603
1,395
3,209
2,183
1,163
75
744
8,510
1,756
7.403
2,786
3.244
5,211
920
956
738
2,937
2,116
2,093
182
358
48
63
170
741
20
564
2,001
3,511
63
10,979
6
143
464
170
504
2.417
3,006
148
242
76
153
490
59
518
631
5,581
3,416
2,050
4,999
6,325
2.674
3,996
61,882
7,596
548
446
2,429
20,782
1,353
5,059
1,633
6,011
2,773
2,783
914
2,243
1 8,406
1.861
17.415
5.653
8.707
7.653
2,591
1,177
1.365
6,101
3,859
3,055
260
1,026
94
99
533
1,882
51
998
5.633
9.735
112
26.486
29
170
1,031
336
1,352
5,531
10,780
163
547
120
212
707
140
39
70
832
516
191
465
1,229
277
545
18,180
592
22
50
152
4,676
253
1.425
310
792
347
155
108
141
3.523
256
2,703
579
752
1,382
233
302
183
495
461
339
31
135
15
21
157
249
2
143
905
1,615
22
6,617
5
Weld
4
6
6
3
2
24
3
6
162
16
2
3
4
30
3
22
2
II
19
3
2
2
20
7
23
14
12
26
9
3
1
5
4
12
1
5
11
DELAWARE
New Castle Police Department
FLORIDA
63
27
Bay
13
Brevard
36
52
Clav
Collier
49
Dade
98
74
Gadsden
1
24
Hillsborough
Lake
148
8
Lee
10
21
62
Marion
26
1
Nassau .
5
Okaloosa
47
Osceola
10
170
54
Pinellas
79
Polk
8
St. Johns
12
St Lucie
II
1
32
38
Volusia
27
GEORGIA
Barrow
1
Bibb
Butts
1
Chatham Police Department
4
2
Chattahoochee
4
Cherokee
1
12
18
5
63
129
3
395
22
191
416
1
2,495
24
Clayton Police Department
57
Dade
3
Dekalb Police Department
52
Douglas
5
22
2
10
55
95
5
13
4
8
27
3
24
405
303
4
12
2
3
22
2
3
77
2
83
312
296
23
135
10
17
60
28
4
183
31
216
1,968
1.079
15
47
15
27
57
13
6
13
5
4
14
15
3
1
1
1
5
1
Fulton Police Department
38
98
Harris
3
Houston
6
Lee
5
5
2
Peach
170
Table 10. — Number of Oflenses Known to the Police, Suburban Counties, 1992 — 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
Arson*
GEORGIA— Continued
Richmond
Rockdale
Spalding
Twiggs
Walker
Walton
IDAHO
Ada
Canyon
ILLINOIS'
Boone
Champaign
Clinton
Cook
Jersey
Kane
Kankakee
Lake
Macon
McHenry
McLean
Monroe
Ogle
Peoria
Rock Island
Sangamon
St. Clair
Tazewell
Winnebago
Woodford
INDIANA
Allen
Allen State Police
Clark
Clark State Police
Elkhart
Elkhart State Police
Howard
Howard State Police
Huntington
Huntington State Police
Lake
Lake State Police
Marion
Marion State Police
Monroe
Monroe State Police
Porter
Porter Stale Police
St. Joseph
St. Joseph Stale Police
Tippecanoe
Tippecanoe State Police
Vanderburgh
Vanderburgh Stale Police
IOWA
Johnson
Scott
Warren
Woodbury
Sec foolnole al end of lable.
8.806
l,7(X)
1,075
57
1.195
536
1,805
1.044
2.040
125
474
211
1.985
93
643
27
179
28
2.176
307
21.277
416
95
109
969
81
2,492
159
1.264
126
730
36
436
454
398
220
8,816
1,076
57
1,269
538
1,815
1.058
2,041
125
477
212
1.989
93
647
27
181
28
2.180
307
21.385
416
95
109
976
81
2.494
163
1.268
127
730
36
23
3
166
6
443
22
28
36
2
26
4
478
8
480
99
80
6
68
16
9
59
8
222
9
38
100
148
26
40
31
5
4
52
5
89
27
3
85
6
13
9
36
43
370
23
110
5
29
5
119
72
359
82
10
83
16
II
33
194
30
59
4
2.276
445
372
29
481
220
408
403
69
449
53
1.154
94
396
239
847
237
352
246
51
13
365
69
475
471
97
821
41
4.445
1,016
488
20
551
274
1,202
494
243
661
19
2.695
120
366
338
1,636
410
812
269
88
29
590
146
603
758
161
1,410
62
446
1,385
22
74
137
271
60
76
436
1.087
16
44
153
330
2
16
43
101
6
12
253
1,271
12
101
4.657
13.745
14
198
28
63
19
67
198
575
6
36
593
1,773
26
75
252
760
22
59
110
534
3
21
114
234
149
273
135
224
85
III
1,080
102
83
2
72
IS
2
79
10
75
14
11
51
2
12
389
19
3
2
40
7
64
21
221
36
30
5
46
1
18
10
3
2
33
7
4
4
58
10
146
14
21
141
16
4
171
1
14
21
3
29
1
60
4
10
38
4
2
3
2
3
483
4
114
1.859
108
108
4
13
96
7
16
78
2
23
4
41
4
12
1
17
6
13
14
16
3
171
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992 — 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
thefl
KANSAS
Butler
Douglas
Harvey
Johnson
Leavenworth
Miami
Sedgwick
Shawnee
Wyandotte
KENTUCKY
Boone
Boone Police Department ...
Boone Stale Police
Bourbon
Bourbon State Police
Boyd
Boyd Police Department
Boyd State Police
Bullitt
Bullitt State Police
Campbell Police Depanment
Campbell State Police
Christian
Christian Police Department
Christian State Police
Clark
Clark State Police
Daviess
Daviess State Police
Fayette
Fayette State Police
Gallatin
Gallatin Stale Police
Grant
Grant State Police
Greenup
Greenup State Police
Henderson
Henderson State Police
Jefferson Police Department
Jefferson State Police
Jessamine
Jessamine State Police
Kenton Police Department .
Kenton State Police
Oldham
Oldham Police Department .
Oldham State Police
Pendleton
Pendleton State Police
Scott
Scott State Police
Woodford
Woodford Police Department
Woodford State Police
LOUISIANA
Acadia
Bossier
Caddo
East Baton Rouge
Jefferson
Lafayette
LaFourche
Livingston
Ouachita
590
227
35
417
322
249
2,284
1,220
11
244
244
943
946
42
42
82
82
84
85
171
171
2
2
241
243
332
332
139
151
370
370
9
10
439
446
64
64
44
44
269
271
46
46
415
415
208
216
106
106
2
2
87
92
17
17
277
280
118
118
108
III
243
243
163
168
13,198
13.261
22
23
238
238
52
57
299
306
39
40
29
29
379
385
61
61
2
2
85
85
291
292
40
40
10
10
187
188
13
13
548
549
930
934
1.776
1.776
10.026
10,060
31.769
31,907
1.799
1,822
1.321
1,327
737
739
2,183
2.189
12
4
11
28
57
159
20
10
13
II
305
I
I
1
15
16
208
1,111
27
28
II
20
54
23
1
30
31
13
217
70
I
83
118
I
7
8
16
1
21
6
24
45
2
95
27
13
9
13
49
36
10
46
2
31
20
45
1,398
12
20
11
43
25
2
28
13
66
67
169
668
1,738
187
36
96
166
234
83
20
204
166
101
659
439
31
197
4
21
29
57
79
115
23
121
I
134
8
4
87
11
114
96
1
2
37
5
103
54
24
63
29
2,819
1
64
14
112
4
9
118
8
2
32
72
6
1
58
115
234
517
1,995
5,759
507
329
418
979
275
107
9
159
105
127
1.233
665
10
117
573
34
44
38
78
I
110
174
75
177
3
185
21
25
161
15
232
67
1
102
33
12
118
54
37
153
86
7.795
5
141
22
126
9
17
216
34
17
176
8
7
99
4
324
543
937
6.346
19.313
952
847
180
930
19
5
16
16
7
116
24
10
38
3
7
2
17
15
35
7
15
2
16
I
I
7
15
8
6
4
13
7
2
787
3
10
1
14
I
I
9
4
14
7
35
57
101
738
3.648
103
66
16
70
172
Table 10. — Number of OfTenses Known to the Police, Suburban Counties, 1992 — Continued
County by Stale
Crime
Index
total
ModiTicd*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
LOUISIANA— Continued
SI. Charles
St. Landry
St. Martin
St. Tammany
Terrebonne
Webster
West Baton Rouge
MAINE
Androscoggin
Androscoggin Stale Police
Cumberland
Cumberland Stale Police
MARYLAND
Allegany
Allegany Slate Police
Anne .^rundel Police Department
Anne .\rundel State Police
Baltimore Police Department
Baltimore State Police
Calvert
Calvert State Police
Carroll
Carroll State Police
Cecil
Cecil State Police
Charles
Charles State Police
Frederick
Frederick Stale Police
Harford
Harford State Police
Howard
Howard State Police
Montgomery
Montgomery Police Department ..
Montgomery State Police
Prince George's
Prince George's Police Department
Prince George's State Police
Queen Anne's
Queen Anne's Stale Police
Washington
Washington State Police
MASSACHUSETTS
Barnstable State Police
Berkshire State Police
Bristol State Police
Dukes State Police
Essex State Police
Franklin State Police
Hampden Stale Police
Hampshire Stale Police
Middlesex Slate Police
Norfolk State Police
Plymouth State Police
Suffolk State Police
Worcester State Police
MICHIGAN
Bay
Bay State Police
Berrien
2.506
817
782
3.927
2.814
210
597
304
64
819
147
183
593
17,723
1,193
46.119
146
752
471
43
1,916
619
1.329
4,498
393
870
1.409
3.197
912
8.625
116
39
32,376
36
34
46,229
155
376
576
817
463
35
III
182
21
11
61
57
43
30
72
118
175
16
795
797
1.079
2.516
819
3.953
2.825
213
597
304
64
821
147
183
605
17.857
1,193
46,520
146
752
480
43
1.926
619
1.387
4,498
431
870
1,459
3,197
949
8,625
185
39
32,735
36
34
46,533
155
376
584
817
496
35
111
182
22
11
61
57
43
30
72
118
175
16
795
803
126
2
I
3
99
6
295
5
5
9
1
24
8
8
23
I
10
22
23
7
42
1
184
1
409
1
3
1
7
4
1
2
453
12
2,293
6
8
5
1
34
7
15
104
15
6
17
45
24
131
4
930
3,310
5
716
75
88
294
165
28
30
27
83
861
43
5,029
47
63
74
10
42
63
190
444
43
117
197
184
75
385
19
39
1,193
13
34
3,420
36
32
87
41
57
490
227
212
1,195
928
74
161
165
32
342
43
37
106
3,510
78
8.105
6
190
95
7
490
232
296
646
61
178
256
819
237
1.667
6
4.804
1
8,322
7
122
158
197
IDS
1.118
433
429
2.106
1.488
81
359
113
28
416
82
114
368
11.041
825
24,777
67
454
272
22
1,209
283
708
2,929
219
523
838
1.950
492
5,469
76
22,190
19
21,698
72
206
294
519
257
113
53
36
206
138
14
38
3
31
1,749
229
5,577
15
32
IS
2
116
26
112
347
52
35
78
172
77
926
9
3,054
2
8,944
34
II
26
36
33
8
14
50
5
23
126
8
11
23
6
11
14
12
5
4
19
6
48
10
74
124
44
2
1
161
143
397
556
534
505
173
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992 — 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
MICHIGAN— Continued
Berrien State Police
Calhoun
Calhoun State Police
Clinton
Clinton State Police
Eaton
Eaton State Police
Genesee
Genesee State Police
Ingham
Ingham State Police
Jackson
Jackson State Police
Kalamazoo
Kalamozoo State Police
Kent
Kent State Police
Lapeer
Lapeer State Police
Lenawee
Lenawee State Police
Livingston
Livingston 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
Washtenaw
Washtenaw State Police
Wayne
Wayne State Police
MINNESOTA
Anoka
Benton
Carver
Chisago
Clay
Dakota
Hennepin
Houston
Isanti
Olmsted
Scott
Sherburne
St. Louis
Stearns
Washington
Wright
MISSISSIPPI
Harrison
Hinds
884
908
533
537
247
252
354
358
53
53
2,877
2,887
96
99
296
296
580
583
1,354
1,364
256
257
904
921
490
493
2,632
2,656
30
37
3,838
3,846
581
586
791
797
273
276
751
755
332
336
900
907
928
940
2,134
2,134
274
284
787
791
15
3,704
3,742
751
764
1,310
1,310
512
522
6,794
6,848
429
435
2,758
2,771
467
470
1,673
1,673
633
641
2,044
2,076
338
352
862
862
1,066
1,100
3,144
3,199
637
648
813
817
148
156
464
221
291
1,081
141
220
260
78
313
570
338
488
935
735
1.236
1,538
2,080
622
469
222
292
1,082
141
221
263
80
315
572
340
490
952
742
1,246
1,546
2,091
628
13
135
3
59
33
17
12
2
120
1
14
62
101
3
74
141
73
3
154
12
15
25
36
20
43
58
59
II
122
291
47
41
30
430
55
54
16
170
56
83
23
33
91
323
58
20
32
203
197
79
85
27
477
12
50
158
330
13
204
94
507
7
830
147
225
63
188
101
261
249
358
39
158
4
687
129
335
120
1,158
141
585
87
275
151
476
108
386
442
724
174
19
25
526
270
119
236
20
2,056
70
210
262
815
188
539
210
1,870
18
2,609
398
498
122
448
167
537
541
1,483
183
451
8
2.388
498
840
324
4,777
183
1.952
336
884
362
1,298
181
366
439
1,654
287
595
47
171
234
62
119
50
200
253
716
45
69
67
103
35
165
10
59
121
146
241
278
58
223
116
301
406
390
177
486
328
818
311
1,082
53
19
II
13
I
148
3
17
41
66
18
22
14
122
148
14
46
25
61
25
41
48
191
22
29
1 ,030
288
575
270
230
40
61
19
309
16
99
16
301
24
117
14
51
44
293
49
173
18
43
22
24
60
16
24
24
5
31
32
37
46
66
51
65
86
204
39
174
Table 10. — Number of OfTenses Known to the Police, Suburban Counties, 1992 — Continued
County by State
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
Arson*
MISSISSIPPI— Continued
Madison
Rankin
MISSOURI
Cass
Christian
Clay
Franklin
Greene
Jackson
Jasper
JelTerson
St. Charles
St. Louis Police Department . . .
Warren
MONTANA
Yellowstone
NEBRASKA
Cass
Cass State Patrol
Dakota
Dakota State Patrol
Douglas
Douglas State Patrol
Lancaster
Lancaster Stale Patrol
Sarpy
Sarpy State Patrol
Washington
NEVADA
Washoe
NEW HAMPSHIRE
Rockingham State Police
Strafford State Police
NEW JERSEY
Atlantic State Police
Bergen State Police
Burlington State Police
Camden Slate Police
Cape May Slate Police
Cumberland State Police
Essex Police Department
Essex State Police
Gloucester State Police
Hudson State Police
Hunterdon State Police
Mercer State Police
Middlesex State Police
Monmouth Slate Police
Morris State Police
Ocean Stale Police
Passaic State Police
Salem State Police
Somerset State Police
Sussex State Police
Union State Police
Warren State Police
651
878
253
420
224
1,537
1.320
926
618
4,186
2,117
13,791
253
812
308
8
103
3
1,474
7
641
69
786
8
120
1,853
1,099
290
853
69
562
1,122
314
75
24
28
231
375
138
348
59
176
21
499
36
515
50
324
657
887
423
1,537
618
4.244
2,141
13,885
254
815
310
8
105
3
1.481
7
647
69
788
8
124
1,107
292
883
70
566
1,156
324
78
24
31
235
378
141
352
59
181
26
511
37
522
50
332
25
2
12
9
7
3
29
19
229
I
57
3
51
176
50
65
389
165
636
5
15
173
226
321
166
144
87
565
350
281
250
1.394
504
2.619
120
149
228
130
156
45
481
35
127
19
34
67
214
14
14
39
178
107
413
13
17
18
2
2
1
5
2
14
71
7
23
17
6
24
69
6
5
12
33
7
34
159
9
10
20
151
7
3
25
102
295
452
24
258
68
678
837
524
307
2,081
1,299
9,063
95
596
208
1
80
1
1,090
5
467
31
555
7
67
1,016
875
189
478
30
298
478
127
32
12
11
122
276
89
213
38
114
II
242
13
287
23
164
4
10
11
86
62
40
45
245
119
1,150
28
48
122
32
44
64
6
37
81
65
12
7
8
17
63
18
41
5
12
8
43
1
49
8
25
175
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992 — 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
NEW MEXICO
Dona Ana
Sandoval
Valencia
NEW YORK
Albany
Albany State Police
Broome
Broome State Police
Cayuga
Cayuga State Police
Chautauqua
Chautauqua Slate Police ..
Chemung
Chemung State Police
Dutchess
Dutchess State Police
Erie
Erie Slate Police
Genesee
Genesee Slate Police
Herkimer
Herkimer Slate Police
Livingston
Livingston Stale Police
Madison
Madison State Police
Monroe
Monroe Slate Police
Montgomery
Montgomery State Police .
Nassau
Nassau State Police
Niagara
Niagara State Police
Oneida
Oneida Slate Police
Onondaga
Onondaga State Police
Ontario
Ontario Stale Police
Orange
Orange Stale Police
Orleans
Orleans State Police
Oswego
Oswego Slate Police
Putnam
Putnam State Police
Rensselaer
Rensselaer Stale Police
Rockland
Rockland State Police
Saratoga
Saratoga Stale Police
Schenectady State Police ..
Schoharie
Schoharie Slate Police
Suffolk
Suffolk Police Department
Suffolk State Police
Tioga
Tioga State Police
Warren
Warren State Police
Washington
Washington Slate Police .
Wayne
1,939
245
955
148
534
883
837
431
603
1.159
377
1,021
264
1,094
1,369
1,936
956
584
177
13
432
644
152
103
502
5,879
521
251
222
30,575
36
1.856
531
802
1,196
3,291
1,255
1,150
406
15
1,351
361
130
875
733
462
210
379
598
109
46
1,333
950
96
113
272
57
49,961
84
322
173
1.340
362
362
242
831
1,960
245
955
534
845
605
377
267
1,106
1.380
1.960
961
177
13
446
646
152
105
510
5,903
522
252
222
30,928
534
804
1,210
3,320
1,258
1,163
408
15
1.364
361
942
734
468
212
389
598
109
46
1.342
955
98
115
276
59
51.551
1.345
364
362
243
844
2
1,381
5
26
7
5
5
60
10
9
1
I
2
1.773
1
189
37
236
40
9
21
36
39
73
80
21
71
50
73
220
207
77
10
14
24
32
5
4
44
70
5
6
2
888
6
196
30
118
35
76
19
26
17
10
109
31
24
8
19
13
12
33
22
II
9
27
32
4
4
15
37
1.575
25
50
7
21
3
37
31
12
814
67
393
35
105
227
214
154
171
306
95
150
58
249
282
403
223
178
54
198
154
24
37
170
759
35
54
41
5,461
4
443
100
221
321
664
238
277
60
276
85
55
239
251
151
36
103
178
10
343
230
35
55
98
6
11.592
23
88
53
273
73
99
68
240
767
126
261
59
399
591
560
208
350
699
241
771
142
718
776
1,179
577
360
95
13
200
434
118
59
270
4,616
459
184
170
15,839
17
1.053
363
422
819
2,299
955
780
320
5
824
220
43
571
442
257
130
223
360
91
16
919
654
52
53
134
9
25,781
28
165
107
1.006
268
215
135
533
112
8
53
II
14
36
16
24
6
65
14
18
8
35
66
131
66
25
5
12
4
3
6
352
15
6
7
6.915
2
127
27
12
10
152
27
46
7
93
18
3
37
14
32
26
13
24
7
6
32
20
4
14
3
9,116
6
10
5
23
8
II
5
26
176
Table 10.— Number of Offenses Known to the Police, Suburban Counties, 1992— 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
then
Arson*
NEW YORK— ContiniKd
Wayne State Police
825
570
647
502
2,231
1,395
1,048
1,244
1,474
1,000
11,080
401
2,707
555
1.272
751
3.518
832
2.539
3.620
1.966
1,258
3.979
1,610
2,415
2,860
1,358
2,233
1,837
1,926
648
1,741
3,302
1,416
464
147
205
149
1,771
349
2.283
1.393
575
4.559
366
417
290
8,722
897
1,130
1,249
1.997
498
759
1,572
1,474
1,591
591
578
661
504
2,235
1,401
1,054
1,256
1,482
1,000
11,182
403
2,722
555
1,286
756
3,597
835
2,579
3.674
1,966
1,279
4,040
1.632
2,416
2,873
1,365
2,252
1,837
1,953
650
1,751
3,381
1,417
465
1,794
349
1,416
4,580
370
417
291
8,804
900
1,140
1,265
2,008
501
760
1.573
1.476
1.602
599
1
1
2
1
12
13
4
19
13
10
6
11
9
238
3
18
5
24
13
46
2
34
50
24
16
50
45
36
31
8
29
4
25
2
9
54
15
1
29
117
78
13
102
83
9
101
179
55
495
21
97
27
52
43
428
41
162
268
93
47
369
49
178
43
29
127
92
102
55
122
140
58
9
5
23
229
19
156
205
822
530
492
502
536
484
3.354
113
1,270
202
336
314
1,145
414
1,075
1,254
873
470
1,286
583
603
958
538
1,047
861
818
246
649
1,552
767
163
55
45
30
586
128
377
392
118
963
118
90
92
1.298
169
222
519
346
171
288
410
469
381
208
525
369
329
245
1,108
655
478
558
655
404
5,981
245
1,139
279
772
317
1,700
330
1,105
1,879
826
649
2,113
840
1,472
1,660
701
895
809
826
312
894
1.330
475
254
72
113
113
979
190
1,635
812
332
2,803
176
279
141
6,661
654
739
400
1.448
261
405
996
904
878
333
40
52
69
31
163
80
56
66
83
45
895
18
157
37
76
48
180
39
142
140
128
69
140
83
117
137
66
111
64
132
28
59
189
86
36
11
19
1
134
10
138
48
37
408
19
33
16
360
45
82
86
100
28
32
84
52
129
32
8
Westchester State Police
14
NORTH CAROLINA
4
3
3
1
2
2
2
18
2
14
31
2
9
8
1
99
1
21
2
9
II
18
1
16
24
16
6
16
4
7
26
12
15
'
16
3
5
34
9
1
4
Burke
6
6
Caldwell
12
Catawba
8
102
2
Davidson
5
3
3
5
5
5
5
6
1
5
6
2
5
4
9
6
7
2
3
3
6
15
14
Edgecombe
5
79
3
Gaston
40
54
21
61
Nash
22
New Hanover
1
13
7
19
27
Stokes
2
10
Wake
79
Wayne
1
Yadkin
1
NORTH DAKOTA
4
5
4
18
7
31
64
10
79
2
2
3
68
10
8
26
23
8
10
12
1
3
OHIO
12
39
14
69
69
70
126
49
9
36
152
16
66
196
46
21
16
48
37
163
12
23
2
2
6
31
7
6
174
2
4
2
180
3
13
21
33
7
6
22
12
27
Clennont
23
21
4
1
Hamilton
3
82
Lake .
3
10
1
1
2
2
16
Lucas
II
3
Pickaway
1
1
Richland
2
Warren
13
6
II
Wood
8
177
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992 — 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
OKLAHOMA
Canadian
Cleveland
Comanche
Creek
Garfield
McClain
Oklahoma
Osage
Pottawatomie
Rogers
Sequoyah
Tulsa
Wagoner
OREGON
Clackamas
Clackamas State Police
Columbia
Columbia State Police
Jackson
Jackson State Police
Marion
Marion State Police
Multnomah
Multnomah State Police
Polk
Polk Slate Police
Washington
Washington State Police
Yamhill
Yamhill State Police
PENNSYLVANIA
Allegheny
Allegheny Police Department
Allegheny State Police
Beaver State Police
Berks State Police
Blair State Police
Bucks State Police
Butler Slate Police
Cambria State Police
Carbon State Police
Centre Stale Police
Chester Detective
Chester State Police
Columbia Stale Police
Cumberland Stale Police
Dauphin Slate Police
Delaware Slate Police
Erie Stale Police
Fayelte Stale Police
Lackawanna Stale Police
Lancaster State Police
Lebanon Stale Police
Lehigh State Police
Luzerne State Pol ice
Lycoming Slate Police
Mercer Stale Police
Montgomery Stale Police ...
Northampton Stale Police ..
Perry Stale Police
Somerset Stale Police
Washington Slate Police
Westmoreland Detective
Westmoreland Stale Police . .
Wyoming Stale Police
156
269
309
728
62
223
287
257
562
534
270
2.058
480
8,974
105
412
18
1,843
135
3,354
216
2,937
51
330
5
4,439
22
872
32
157
313
747
62
565
542
275
2,080
482
9,002
148
418
20
1.846
188
3,373
237
2,955
59
332
5
4,453
39
888
33
36
36
1,040
1,174
554
557
208
214
706
716
400
407
594
598
1,070
1,094
288
288
437
437
669
684
25
25
1,675
1.688
208
208
582
594
970
998
1.226
1,233
1,387
1,403
2,174
2,328
237
303
1,062
1,078
261
264
1,224
1,233
786
887
1,110
1,119
499
505
477
493
416
420
565
574
552
571
837
871
54
54
2,628
2,716
341
343
117
12
5
II
9
4
14
I
6
8
5
17
2
6
8
16
12
34
8
7
4
10
13
15
7
4
6
4
2
15
121
2
3
7
16
19
47
2
32
32
22
78
45
20
204
7
125
16
6
3
198
16
140
34
310
12
5
44
58
137
93
380
27
108
113
104
264
269
124
542
202
2,245
19
99
2
480
35
706
32
762
2
114
1
1,067
3
237
3
14
150
242
94
157
16
66
105
235
II
131
50
III
35
367
9
165
12
240
38
239
II
1
107
619
6
89
32
152
143
194
44
190
47
415
163
855
29
79
39
367
12
88
52
290
63
292
18
347
30
221
41
136
21
114
7
234
19
236
38
337
86
911
19
110
78
87
171
223
33
70
121
85
178
180
101
1,060
218
5,368
47
267
10
1,054
46
2,149
117
1,397
29
168
3
2,829
12
457
13
15
439
165
85
300
212
372
533
76
157
349
8
757
102
336
542
659
808
716
90
551
128
776
348
657
198
263
231
266
231
322
47
1,178
184
17
17
62
9
13
36
35
36
22
195
48
1,021
16
30
2
79
17
278
22
362
6
30
I
379
6
74
4
40
90
26
48
36
47
113
33
18
33
145
7
46
73
296
91
339
30
78
26
83
57
39
34
26
36
49
52
92
5
373
22
178
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992 — 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
PENNSYLVANIA— Continued
York State Police
RHODE ISLAND
Kent Slate Police
Providence Stale Police
Washington State Police
SOUTH CAROLINA
Aiken
Anderson
Berkeley
Charleston
Cherokee
Dorchester
Edgefield
Greenville
Horry Police Department
Lexington
Pickens
Richland
Spartanburg
Sumter
York
SOUTH DAKOTA
Lincoln
Minnehaha
Pennington
TENNESSEE
Carter
Hamilton
Hawkins
Knox
Madison
Montgomery
Robertson
Sullivan
Sumner
Unicoi
Washington
TEXAS
Archer
Bastrop
Bell
Bexar
Bowie
Brazoria
Brazos
Caldwell
Cameron
Chambers
Collin
Comal
Coryell
Dallas
Denton
Ector
Ellis
El Paso
Fort Bend
Galveston
Grayson
763
63
140
280
62
375
727
521
1,507
484
5,358
898
803
420
1,821
952
174
735
60
776
882
7,991
670
1,470
368
211
1,878
545
788
782
138
663
612
1,556
999
2.603
2,252
999
977
786
63
142
285
3,804
3,819
4,738
4,804
3,545
3,576
5,967
6,009
963
975
2,521
2,536
344
351
11,070
11.113
4,695
4,705
6,267
6,274
1.183
1,193
9.584
9,607
9.570
9,611
3,365
3,391
3,326
3,343
63
381
736
529
497
5,437
902
420
955
175
743
60
781
915
8,106
676
1,471
369
212
1,897
550
789
796
139
687
615
1,557
999
2,617
2,308
1,017
994
10
56
34
56
57
10
28
II
111
45
71
15
164
98
42
29
10
89
93
74
188
14
21
6
338
75
126
10
471
217
59
47
70
554
506
338
902
134
371
50
1,306
355
544
115
913
1,480
516
409
97
92
386
81
80
19
69
227
31
78
63
14
172
36
14
125
281
110
61
23
249
1,147
1,427
1,151
1,702
303
563
121
3,135
1,474
1,556
404
2,254
1,996
1,092
1,007
34
129
157
26
330
290
2,188
228
534
154
76
1,023
165
284
288
57
130
245
507
498
805
831
381
377
362
21
75
172
1,614
2,385
1,711
2,690
447
1,422
136
5,512
2,435
3,549
586
4,657
5,255
1,460
1,664
28
189
414
8
195
265
144
579
662
54
249
131
208
2,107
2,456
76
308
451
189
246
329
27
119
237
137
661
867
104
291
450
41
55
70
30
260
397
32
283
424
4,423
298
678
174
55
519
295
356
399
55
305
279
941
343
1,288
1,070
438
519
60
334
282
208
419
51
108
19
653
300
402
53
1,102
521
190
165
42
100
35
458
46
32
28
128
46
7
35
I
46
53
838
37
146
16
9
76
37
49
29
9
34
34
68
27
143
182
72
41
179
Table 10.— Number of OfTenses Known to the Police, Suburban Counties, 1992 — 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
Arson*
TEXAS— Continued
628
683
417
41,219
841
776
1,139
5,227
583
637
581
837
977
773
864
785
769
5,672
286
928
1,030
235
337
180
666
2,342
1,524
145
454
4,894
483
649
216
286
188
2,277
336
295
17,276
409
926
1,893
3
614
3
580
12
374
6
1,032
33
68
17
8,476
34
139
4
301
13
415
16
26,389
42
629
683
419
41,824
862
794
1,149
5,272
637
638
584
840
993
773
867
788
772
5,775
288
933
1,036
236
342
181
667
2,384
1,555
146
455
4,904
483
652
216
286
193
2,291
336
295
17,387
422
926
1,898
3
620
3
586
12
375
6
1,040
33
68
17
8,529
35
139
4
305
13
416
16
26,619
42
4
4
10
9
1
1
1,572
4
7
5
90
3
7
9
5
10
6
4
6
10
88
2
13
6
1
72
12
23
2,911
66
40
76
548
28
41
44
58
81
34
185
69
47
304
47
49
64
24
32
30
82
190
144
11
140
225
65
43
16
32
43
137
24
21
916
33
38
53
225
241
154
10,190
300
288
492
2,744
204
262
171
401
331
388
215
293
203
1,744
111
296
441
72
135
48
214
547
485
52
96
1,587
223
240
131
116
61
576
134
71
2,751
80
222
321
262
408
210
16,633
432
379
502
1,463
322
271
284
316
467
280
410
353
452
2,930
103
489
427
126
141
90
338
1,414
782
71
198
2,634
155
316
42
114
72
1.434
141
165
12,734
260
624
1,381
3
429
3
338
10
248
3
597
21
36
8
6,249
20
86
4
187
11
241
9
21,047
30
46
17
23
9,364
37
45
51
342
25
55
54
49
74
52
41
55
40
540
15
65
45
11
24
6
30
142
82
7
10
339
14
33
20
14
6
86
29
4
640
25
32
103
1
6
473
2
76
2
605
21
Hays
17
12
24
1
18
1
16
10
Hidalgo
45
Hood
54
1
1
1
4
3
2
6
18
7
10
10
7
3
17
54
8
14
46
5
4
3
3
16
Lubbock
3
3
3
12
103
2
2
1
5
6
1
Randall
5
1
1
2
18
21
1
1
38
1
10
2
3
1
10
2
2
106
2
3
18
1
1
Smith
4
4
2
2
3
27
6
1
7
68
25
6
5
7
2
30
4
31
120
9
7
15
42
31
1
Tom Green
1
10
victoria
1
3
Waller
Wichita
3
4
2
9
5
14
Wilson
UTAH
Salt Lake
III
Utah
13
Weber
2
5
1
10
66
90
18
6
2
13
2
24
182
2
87
19
6
2
4
4
10
1
144
2
8
1
147
1
1
19
2
43
3
1
14
14
1
220
6
21
8
1,537
7
37
8
Camnhell Slate Police
1
2
4
58
2
3
122
4
1
359
53
Che<;teiTieId State Police
1
Clarke
11
3
1
2
16
83
10
1
13
2
1,888
8
4
2
11
2
473
1
19
128
3
2,456
1
1
18
1
90
417
I
230
Fairfax State Police
180
Table 10. — Number of OfTenses Known to (he Police, Suburban Counties, 1992 — 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
Arson*
VIRGINIA— Continued
Fauquier
Fauquier State Police
Fluvanna
Fluvanna State Police
Gloucester
Gloucester State Police
Goochland
Goochland State Police
Greene
Greene State Police
Hanover
Hanover State Police
Henrico Police Department
Henrico Stale 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
Mathews State Police
New Kent
New Kent State Police
Pittsylvania
Pittsylvania State Police
Powhatan
Powhatan State Police
Prince George
Prince George State Police
Prince William Police Department
Prince William State Police
Roanoke Police Department
Roanoke State Police
Scott
Scott State Police
Spotsylvania
Spotsylvania State Police
Staftbrd
Stafford State Police
Washington
Washington State Police
York
York State Police
WASHINGTON
Benton
Clark
Franklin
Island
King
Kitsap
Pierce
Snohomish
Spokane
Thurston
Whatcom
Yakima
WEST VIRGINIA
Brooke
Brooke State Police
Cabell
Cabell State Police
Hancock
677
42
173
3
506
15
138
9
134
3
1,341
41
10,043
25
443
6
1,095
2
233
7
1,559
15
63
I
306
21
803
39
157
15
440
1
8,687
34
2,031
14
239
9
2,132
73
1,584
42
540
13
1,590
10
821
7,020
467
543
23,295
5,361
17,234
6,608
7,293
2,814
1,871
3,551
143
3
862
161
100
691
42
174
3
506
15
138
9
138
3
1,344
41
10,108
25
444
7
1,097
2
234
7
1,567
15
65
1
310
21
806
40
157
15
444
8,764
34
2,048
14
243
10
2,132
73
1,593
43
546
14
1,596
10
849
7,084
473
544
23,595
5,386
17,344
6,756
7,321
2.835
1,880
3,573
145
3
871
161
100
13
33
64
II
5
471
49
294
77
49
72
46
60
2
17
297
10
7
137
2
3
432
46
478
95
76
24
4
24
14
27
1
298
I
28
51
10
2
138
1
2
237
4
103
31
26
89
303
44
16
874
177
1,253
282
183
110
62
132
123
5
80
I
94
I
57
1
32
246
4
1,597
I
90
158
56
159
1
20
88
6
203
3
37
3
117
1,224
I
331
3
63
2
205
3
197
3
233
1
191
226
1,529
132
169
4,979
1,193
3,678
1,711
1,832
799
498
1,534
54
245
55
52
440
31
72
1
366
It
70
8
77
2
988
32
7,197
19
283
4
813
2
ISO
4
1,170
9
34
187
13
518
13
101
9
261
I
6,458
23
1,538
II
126
5
1,710
56
1,186
35
240
8
1,252
6
432
4,562
244
308
14,371
3,608
10,400
3,870
4,781
1,634
1,159
1,560
70
482
91
39
9
I
52
3
588
I
24
2
41
12
27
536
3
40
II
2
167
5
84
3
34
3
65
4
32
420
32
42
2,151
286
1,111
565
363
170
99
238
181
Table 10. — Number of Offenses Known to the Police, Suburban Counties, 1992 — 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-
thefl
Motor
vehicle
theft
Arson*
WEST VIRGINIA— Continued
Hancock State Police
Kanawha
Kanawha State Police
Marshall
Marshall State Police
Mmeral
Mineral State Police
Ohio
Ohio State Police
Putnam
Putnam State Police
Wayne
Wayne State Police
Wood
Wood State Police
WISCONSIN
Brown
Calumet
Ch ippewa
Dane
Douglas
Eau Claire
Kenosha
La Crosse
Marathon
Milwaukee
Outagamie
Ozaukee
Pierce
Racine
Rock
Sheboygan
St. Croix
Washington
Waukesha
Winnebago
WYOMING
Laramie
Natrona
1,082
646
281
27
51
178
200
44
662
101
141
257
595
69
1,287
233
316
1,588
412
448
1,394
225
588
647
1,366
221
256
1,060
623
685
398
906
1,230
781
648
501
1,082
648
281
27
51
179
200
48
664
102
141
262
599
70
1,289
234
317
1,599
417
453
1,414
226
588
649
1,368
221
264
1,060
631
693
404
918
1,242
782
653
506
34
4
7
322
5
5
30
13
18
72
64
I
7
20
72
15
13
30
83
14
3
354
181
99
9
24
53
67
8
139
28
63
84
152
27
5
530
291
116
9
21
85
118
33
457
49
50
116
354
29
173
1,018
74
137
58
231
336
854
279
103
149
270
279
973
26
164
156
388
12
490
197
1,061
50
150
99
123
207
761
149
363
170
461
107
246
241
589
261
778
173
556
97
141
438
304
109
121
16
1
4
10
5
2
33
8
14
27
31
2
1
1
11
5
5
20
1
6
12
12
1
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Slate 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.
182
Table II. — Number of Oflenses Known to the Police, Rural Counties 25,000 and over in Population, 1992
[The data shown in ihis lablf do not fTflccI county totals but are the number of offenses reixined by the sheriffs 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 State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligeni
man-
slaughter
Forcible
rape
Robbei^
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
ALABAMA
Cullman
De Kalb
Jackson
Lee
Marshall
Walker
ARIZONA
Apache
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
Uke
Lake Highway Patrol
Mendocino
Mendocino Highway Patrol
Nevada
Nevada Highway Patrol ...
San Luis Obispo
San Luis Obispo Highway
Siskiyou
Siskiyou Highway Patrol . .
Tehama
Tehama Highway Patrol ..
Tuolumne
Tuolumne Highway Patrol
COLORADO
Mesa
FLORIDA
Charlotte
Citrus
Columbia
Highlands
Indian River
Monroe
Okeechobee
Putnam
GEORGIA
Bulloch
Gordon
Hall
Lowndes
Trooup
1.062
212
471
730
328
418
131
852
515
873
290
1.051
644
310
637
990
45
1,970
95
1,227
82
893
82
1,233
66
1,418
109
1,897
113
1,745
114
777
22
849
57
1,379
94
1,843
3,886
1,875
1,644
2,626
3,473
3,628
1,182
3,546
553
694
2,357
1,393
671
132
856
525
873
290
1,058
661
313
644
1,060
1,990
1,262
914
1,233
1.435
1.903
1,753
784
883
1,392
1,853
3,888
1,894
1.651
2,627
3,485
3,633
1,191
3,559
559
698
2,365
671
15
10
24
12
27
23
39
31
9
104
159
16
31
77
27
14
91
68
202
105
1
169
48
1
117
1
289
257
1
123
206
3
177
57
42
33
178
49
19
292
105
202
273
155
166
30
239
210
281
89
175
211
102
232
489
806
419
373
582
615
543
453
192
323
458
478
500
80
181
328
118
206
75
474
196
341
141
771
283
173
302
359
10
944
693
7
352
IS
340
13
478
19
1.203
24
1.038
31
391
2
419
842
10
1.193
210
1,001
2,346
157
812
820
211
477
810
219
831
1,299
229
934
1.972
435
813
2,121
255
290
551
501
1,239
1,496
167
299
225
356
632
1,297
385
834
184
422
90
242
59
96
213
221
186
53
155
27
68
198
70
34
183
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1992 — Continued
County by Slate
Crime
Index
total
Modified*
Crime
[ndex
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
GEORGIA— Continued
Whitfield
HAWAII
Hawaii
Kauai
Maui
IDAHO
Bonneville
Kootenai
ILLINOIS*
Adams
Vermillion
INDIANA
Bartholomew
Bartholomew State Police
Grant
Grant State Police
La Grange
La Grange State Police
La Porte
La Porte State Police
Wayne
Wayne State Police
KANSAS
Riley Police Department
KENTUCKY
Floyd
Floyd State Police
Hardin
Hardin State Police
Harlan
Harlan State Police
Knox
Knox State Police
Laurel
Laurel Slate Police
McCracken
McCracken State Police
Madison
Madison State Police
Perry State Police
Pike
Pike State Police
Pulaski
Pulaski State Police
Warren
Warren State Police
LOUISIANA
Vermillion
Vernon
MAINE
Aroostook
Aroostook State Police
Penobscot
See footnote at end of table
1.295
4,138
2,497
7,949
849
1,080
355
28
381
17
194
66
1,050
87
469
46
322
65
531
57
286
I
552
8
894
311
358
1,115
56
97
369
423
47
985
632
102
89
541
542
920
115
420
636
1,310
4,165
2,502
7,990
852
1,087
355
28
385
19
194
66
1,056
87
473
46
66
564
58
288
I
552
8
900
313
372
1,115
65
97
372
444
47
1,023
634
104
89
541
542
922
115
422
636
10
45
104
43
139
27
II
171
94
192
64
32
52
246
15
3
116
127
3
277
14
15
153
22
203
415
1,032
633
1,666
190
356
89
377
74
6
101
1
55
14
290
4
177
9
86
10
132
24
83
100
2
132
100
109
265
13
42
105
107
5
246
254
43
29
143
I8S
131
49
179
215
684
2,753
1,624
5,644
593
571
160
655
207
15
233
9
109
36
648
30
257
21
187
39
176
19
80
1
214
5
638
151
117
538
25
48
83
135
36
394
328
31
59
200
301
540
63
184
393
122
195
170
360
37
59
14
62
10
4
10
2
8
7
51
27
22
5
13
5
38
3
12
31
1
49
22
66
46
3
3
42
35
2
49
25
10
I
30
20
26
2
18
20
184
Table II. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1992 — Continued
Countv b\ Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robberv
Aggra-
vated
assault
Burglary
Larcenv-
thcft'
Motor
vehicle
I heft
Arson*
MAINE— Continued
Penobscot State Police
York
York State Police
MARYLAND
Garrett
Garrett Slate Police
St. Mar>'s
St. Marv'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 Slate Police
Isabella
Isabella Slate Police
Mecosta
Mecosta Stale Police
Montcalm
Montcalm Slate Police
Newaygo
Newaygo Slate Police
St. Joseph
St. Joseph Slate Police
Sanilac
Sanilac Stale Police
Shiawassee
Shiawassee Slate Police
Tuscola
Tuscola State Police
MINNESOTA
Crow Wing
Itasca
Otter Tail
MISSISSIPPI
Jones
Lee
Warren
MISSOURI
Camden
Cole
Pulaski
St. Francois
MONTANA
Raihead
Silver Bow
NEVADA
Carson City
256
407
259
299
262
2.057
440
918
631
622
492
759
197
855
430
461
188
402
363
317
406
573
55
1.108
309
626
380
536
235
320
208
396
205
310
362
1.018
750
754
633
413
457
435
489
208
233
1.643
1.993
2.077
256
411
259
299
266
2.064
476
918
653
628
504
770
205
872
434
464
193
404
372
321
410
579
55
1.121
315
630
384
543
240
320
211
397
210
313
366
1.020
758
755
415
458
437
490
208
1.667
2.009
2.084
25
19
24
53
28
268
48
138
61
314
100
204
127
241
192
323
69
115
100
115
57
114
97
59
129
205
18
319
129
276
161
154
87
III
83
116
69
116
117
477
307
318
294
205
186
247
130
64
59
311
297
347
129
165
103
73
156
72
148
540
1.143
111
223
217
466
214
293
324
215
340
75
656
285
286
96
217
203
221
229
320
23
616
126
233
156
332
88
151
87
236
99
162
165
440
362
366
265
135
225
130
324
93
147
1.177
1.530
1,291
13
22
12
II
13
52
30
52
38
15
33
45
7
19
9
15
7
11
20
17
13
14
3
51
22
II
II
23
6
15
14
14
10
17
22
64
60
42
55
29
26
14
4
17
93
109
82
185
Table II. — Number of Oflenses Known to the Police, Rural Counties 25,000 and over in Population, 1992 — 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-
Iheft
Motor
vehicle
theft
NEW HAMPSHIRE
Hillsboro State Police
NEW MEXICO
San Juan
NEW YORK
Allegany State Police
Cattaraugus
Cattaraugus Slate Police
Chenango
Chenango State Police
Clinton
Clinton State Police
Columbia
Columbia State Police
Delaware
Delaware State Police
Franklin Stale Police
Fulton
Fulton State 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 State Police
Wyoming
Wyoming State Police
NORTH CAROLINA
Beaufort
Carteret
Caswell
Cleveland
Columbus
Craven
Dublin
Halifax
Harnett
Hayward
Henderson
Iredell
Jackson
Lee
Lenoir
McDowell
Moore
Pender
Richmond
Robeson
Rockingham
Rutherford
Sampson
Stanly
Surry
Wilkes
Wilson
42
878
707
479
654
416
252
75
1.179
359
541
118
425
435
681
160
448
623
116
539
598
900
422
752
723
732
814
385
253
1,071
561
152
915
1,079
568
1,888
1,233
1,329
803
1,045
2,208
770
1,379
819
458
626
826
717
921
663
535
1.268
I.SII
937
1,138
741
943
932
858
43
879
721
655
255
75
1,195
118
447
681
161
471
623
124
543
600
439
754
754
817
387
1,085
152
921
1,085
568
1,894
1,254
1,329
814
1,060
2,239
771
1,382
823
461
630
831
723
928
668
535
1,285
1,516
938
1,148
744
944
940
877
24
142
104
13
23
5
32
46
35
5
6
31
30
62
74
2
23
103
75
37
13
24
113
75
56
18
181
316
143
240
127
91
2
334
136
164
49
193
171
224
67
152
227
52
172
171
239
156
252
230
332
219
113
69
333
246
38
54
538
13
395
76
202
III
843
87
515
110
441
98
354
48
498
265
1.033
6
388
43
535
45
476
11
255
7
272
41
327
27
273
181
307
58
232
110
163
138
613
187
507
52
364
103
480
39
291
22
303
83
380
61
401
14
460
292
240
354
235
124
73
717
196
320
62
179
200
385
85
261
351
59
321
337
560
255
439
360
284
509
246
137
565
211
41
269
598
265
813
508
650
278
423
732
344
667
180
174
293
405
387
338
322
224
376
698
440
429
363
503
391
339
51
9
28
12
16
9
II
II
26
1
II
13
25
2
7
9
4
8
20
16
8
30
20
24
31
6
II
33
22
10
39
54
19
91
84
100
58
43
119
29
103
89
11
31
38
26
77
40
18
96
87
72
98
38
110
65
44
186
Table 11.— Number of Oflenses Known to the Police, Rural Counties 25,000 and over in Population, 1992— 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
then
Arson*
OHIO
Coshocton
Darke
Huron
Logan
Muskingum
Preble
Seneca
Shelby
Tuscarawas
Wayne
OREGON
Coos
Coos State Police
Deschutes
Deschutes State Police
Douglas
Douglas State Police
Josephine
Josephine Stale Police
Klamath
Klamath State Police
Linn
Linn State Police
PENNSYLVANIA
Adams State Police
Armstrong State Police
Bedford State Police
Bradford State Police
Clarion State Police
Clearfield State Police
Crawford State Police
Franklin State Police
Greene State Police
Huntingdon State Police
Indiana State Police
Lawrence State Police
Monroe State Police
Northumberland State Police
Schuylkill State Police
Snyder State Police
Susquehanna State Police ...
Tioga State Police
Venango State Police
Wayne State Police
RHODE ISLAND
Newport State Police
SOUTH CAROLINA
Beaufort
Chesterfield
Colleton
Darlington
Georgetown
Greenwood
Kershaw
Lancaster
Laurens
Oconee
Orangeburg
Williamsburg
736
490
405
340
1.109
488
267
290
239
640
695
79
979
227
1,426
109
1,360
45
695
316
1,295
60
572
498
639
574
575
525
896
901
770
547
667
628
1,321
370
933
251
371
320
671
661
26
5,059
749
1,224
1,953
1,353
1,256
1.421
1,704
892
1,067
3,428
811
742
495
406
341
1.116
490
267
290
240
644
701
80
988
282
1,438
118
1,370
55
696
324
1,301
71
581
504
650
588
586
553
909
920
798
562
687
653
1,338
377
956
258
376
332
679
666
26
5,067
760
1,235
1,962
1,357
1,261
1,430
1,712
898
1,070
3,455
816
12
94
13
27
32
23
II
18
23
12
5
126
16
13
19
I
II
14
106
28
17
12
II
23
86
5
143
202
145
118
291
166
96
67
73
217
228
II
282
50
410
21
402
4
273
70
435
7
169
198
226
296
216
195
456
283
301
253
270
204
604
92
256
56
173
163
259
307
519
191
204
179
745
262
140
194
162
343
400
57
608
118
801
44
834
12
363
148
680
29
279
221
335
208
289
254
316
481
302
225
283
28S
545
215
514
157
136
126
328
267
15
582
1,284
2,862
112
271
286
167
392
563
298
677
760
202
372
669
190
383
624
137
421
747
129
512
933
151
357
301
107
325
582
553
967
1,482
167
279
294
37
29
22
IS
26
33
13
18
2
46
35
4
67
37
86
9
79
5
38
52
75
8
43
43
35
32
45
41
64
79
81
34
72
92
93
36
53
II
29
19
55
49
181
49
61
155
65
38
82
88
56
39
229
35
187
Table 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1992 — 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
TENNESSEE
Bradley
Hamblen
Roane
TEXAS
Anderson
Angelina
Rusk
Starr
Van Zandt
Wise
UTAH
Cache
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
Montgomery
Montgomery State Police .
Rockingham
Rockingham State Police ..
Russell
Russell Slate Police
Tazewell
Tazewell State Police
Wise
Wise State Police
WASHINGTON
Chelan
Clallam
Grant
Grays Harbor
Lewis
Mason
Skagit
WEST VIRGINIA
Berkeley
Berkeley State Police
Fayette
Fayette State Police
Harrison
Harrison State Police
Jefferson
Jefferson State Police
Logan
Logan State Police
McDowell
607
364
678
565
794
656
881
500
620
745
237
40
1,138
27
352
107
281
14
422
3
1.239
37
495
18
1.363
26
591
19
436
24
110
25
368
39
192
1.264
620
934
720
976
1.385
1.294
849
430
285
245
287
193
149
380
138
535
137
609
365
680
570
801
663
883
507
629
750
237
41
1,141
27
355
107
284
14
424
3
1,246
37
499
18
1,374
26
598
19
436
24
113
25
370
41
192
1,266
633
934
727
982
1,391
1,300
857
430
292
249
287
193
149
382
140
537
140
34
5
164
18
4
1
100
1
204
127
204
186
242
230
372
236
273
128
63
18
192
123
32
122
117
193
4
192
4
386
2
158
126
2
41
5
95
12
53
343
154
357
284
301
488
378
234
139
78
58
106
98
46
139
63
124
31
295
197
260
270
453
311
376
211
256
576
124
14
828
15
132
53
120
10
261
2
920
27
248
8
820
12
358
15
272
7
48
14
158
15
121
6
796
385
461
358
569
754
829
480
234
150
156
159
63
85
220
53
289
72
62
28
40
27
64
69
61
27
13
31
16
5
51
10
37
15
12
3
22
I
47
3
9
3
96
12
35
2
II
14
13
2
8
10
16
2
65
35
66
27
45
62
50
37
42
30
16
17
18
5
II
II
89
14
188
Tabic 11. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1992 — 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
Arson*
WEST MRGINIA— ContiniKd
McDowell State Police
Marion
Marion State Police
Mercer
Mercer Slate Police
Mingo
Mingo State Police
Monongalia
Monongalia State Police
Raleigh
Raleigh State Police
WISCONSIN
Barron
Clark
Columbia
Dodge
Fond Du Lac
Gram
Jefferson
Manitowoc
Marinette
Polk
Portage
Sauk
Shawano
Walworth
Waupaca
Wood
STATE AGENCIES
Alaska State Police
Arizona Department of Public Safety
Connecticut State Police
Vermont State Police
OTHER AREAS
Guam
Virgin Islands
136
287
74
821
160
244
235
374
331
1,260
256
510
336
630
375
496
289
453
488
598
490
595
160
530
561
698
534
7.279
9
8.744
5.026
5.541
10.757
136
294
74
821
160
251
242
374
331
1.267
256
515
337
633
376
497
293
456
491
603
492
596
160
530
566
698
539
7,339
9
8.832
5.551
10,813
186
115
101
43
102
9
87
650
7
19
I
199
5
59
21
I
3
183
4
643
9
1.043
146
273
2,002
71
92
22
253
59
62
75
66
84
267
46
187
104
135
130
82
85
99
118
291
254
131
17
174
149
320
147
1,667
2.539
1,991
946
3,280
25
141
35
310
60
87
90
294
186
694
183
234
192
461
205
379
167
321
291
268
192
373
136
310
367
345
342
4,126
4,223
2,680
3,629
3,718
596
735
153
480
983
60
88
10
56
'Forcible rape figures furnished by the slate-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.
189
Table 12.— Crime Trends, Offenses Known to the Police, Population Group, 1991-1992
(1992 estimated population]
Population group
Crime
Index
total
ModiTied
Crime
Index
total'
Violent
crime^
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TOTAL ALL AGENCIES:
12,404 agencies;
population 228,621,000:
1991
1992
Percent change
TOTAL CITIES: 8,662 cities;
population 155,264,000:
1991
1992
Percent change
Group I
63 cities, 250,000 and over;
population 45,413,000:
1991
1992
Percent change
7 cities, 1,000,000 and over;
population 19,318,000:
1991
1992
Percent change
18 cities, 500,000 to 999,999;
population 12,199,000:
1991
1992
Percent change
38 cities, 250,000 to 499,999;
population 13,897,000:
1991
1992
Percent change
Group II
127 cities, 100,000 to 249,999;
population 18,995,000:
1991
1992
Percent change
Group III
338 cities, 50,000 to 99,999;
population 23.351,000:
1991
1992
Percent change
Group IV
653 cities, 25,000 to 49,999;
population 22,727,000;
1991
1992
Percent change
13,576,018
13,129,800
-3.3
11,074,771
10,701,320
-3.4
4,481,395
4,276,025
-4.6
1,857,120
1,714,443
-7.7
1,154,474
1,137,146
-1.5
1,469,801
1,424,436
-3.1
1,597,954
1,552,175
-2.9
1,536.629
1,488,382
-3.1
1,313,526
1,287,264
-2.0
13,672,472
13,225,998
-3.3
11,150,613
10,776,882
-3.4
516,167
312,010
-4.5
,872,946
,731,046
-7.6
,161,910
,144,729
-1.5
481,311
,436,235
-3.0
1,610,315
1,563,885
-2.9
1,546,345
1,497,723
-3.1
1,321,317
1,294,979
-2.0
1,760,436
1,770,697
-l-,6
1,494,984
1,498,047
+.2
827,100
808,597
-2.2
438,904
414,492
-5.6
164,161
170,438
+3.8
224,035
223,667
-.2
203,892
207,312
+ 1.7
170,105
174,147
+2.4
123,769
1 30,606
+5.5
11,815,582
11,359,103
-3.9
9,579,787
9,203,273
-3,9
3,654,295
3,467,428
-5.1
1,418,216
1,299,951
-8.3
990,313
966,708
-2.4
1.245,766
1,200,769
-3.6
1.394,062
1,344,863
-3.5
1,366,524
1,314,235
-3.8
1,189,757
1,156,658
-2.8
23,250
22,176
-4.6
18,993
18,132
-4.5
12,037
11,447
-4.9
6,436
6,044
-6.1
2,812
2,684
-4.6
2,789
2,719
-2.5
2,354
2,260
-4.0
1,780
1,568
-11.9
1,170
1,142
-2.4
91,849
93,804
+2.1
69,615
70,548
+1.3
29,542
28,808
-2.5
8,874
8,347
-5.9
9,131
9,018
-1.2
11,537
11,443
11,466
11,585
+ 1.0
9,651
9,994
+3.6
7,808
8,130
+4.1
653,628
635,800
-2.7
593,849
577,482
-2.8
396,276
378,045
-4.6
228,777
209,521
-8.4
77,074
78,733
+2.2
90,425
89,791
-.7
72,369
72,478
+.2
56,294
56,436
+.3
35.571
36,384
+2.3
991,709
1,018,917
+2.7
812,527
831,885
+2.4
389,245
390,297
+.3
194,817
190,580
-2.2
75,144
80,003
+6.5
119,284
119,714
+.4
117,703
120,989
+2.8
102,380
106,149
+3.7
79,220
84,950
+7.2
2,863,371
2,695,523
-5.9
2,190,514
2,058,930
-6.0
874.970
806,043
-7.9
326,042
295,184
-9.5
238,790
219,529
-8.1
310,138
291,330
-6.1
342,689
323,817
-5.5
312,787
298,387
-4.6
259,823
249,086
-4.1
7,395,456
7,154,829
-3J
6,057,591
5,855,034
-3.3
2,037,429
1,946,155
-4.5
721,708
663,910
-8.0
584,628
576,918
-1.3
731,093
705,327
-3.5
874,923
845,359
-3.4
887,944
855,237
-3.7
817,221
797,945
-2.4
1,556,755
1,508,751
-3.1
1,331,682
1,289,309
-3.2
741,896
715,230
-3.6
370,466
340,857
-8.0
166,895
170,261
+2.0
204,535
204,112
-.2
176,450
175,687
-.4
165.793
160,611
-3.1
112,713
109,627
-2.7
190
Table 12.— Crime Trends, Offenses Known to the Police. Population Group, 1991-1992— Continued
Porulalion group
Group v
1.514 cities. 10.000 to 24.999
population 23.992.000:
1991
1992
Percent change
Group VI
5.967 cities under 10.000;
population 20,784.000:
1991
1992
Percent change
Suburban Counties
1.279 agencies;
population 48.738.000:
1991
1992
Percent change
Crime
Index
total
Rural Counties*
2.463 agencies;
population 24.619.000:
1991
1992
Percent change
Suburban Area'
6.213 agencies;
population 96.602.000:
1991
1992
Percent change
1.183.318
1,153,080
-2.6
961,949
944.394
-1.8
1.983,289
1,917.669
-3.3
517.958
510.811
-1.4
4.356,863
4,225.093
-3.0
Modified
Crime
Index
total'
1.189.386
1.158.861
-2.6
967.083
949.424
-1,8
1,999.391
1.933.968
-3,3
522.468
515.148
-1,4
Violent
crime'
4.386.175
4.254.340
-3,0
98.102
102.156
+4.1
72,016
75.229
+4,5
215.910
220.215
+2.0
49,542
52.435
+ 5.8
Property
crime'
412.717
423.633
+2.6
1.085.216
1,050,924
-3.2
889.933
869.165
-2.3
1.767.379
1.697.454
-4,0
468.416
458,376
-2,1
Murder
and non-
negligent
man-
slaughter
3,944,146
3.801,460
-3,6
963
978
+ 1.6
689
737
+7.0
2.894
2.795
-3,4
1.363
1.249
-8.4
Forcible
rape
4.668
4.592
-1.6
6.555
6,999
+6.8
4.593
5.032
+9.6
16.500
17.001
+3.0
5.734
6,255
+9,1
28.597
29,738
+4,0
Robber>'
22,349
22,926
+2,6
10.990
11.213
+2.0
56.013
54,494
-2,7
3.766
3.824
+ 1,5
Aggra-
vated
assault
107,936
107,091
68,235
71.253
+4,4
55.744
58,247
+4,5
140,503
145.925
+3.9
38.679
41.107
+6.3
Burglary
271.516
282.212
+3,9
225,190
215,298
-4.4
175.055
166.299
-5.0
496.905
468.318
-5.8
175.952
168.275
-4,4
Larceny-
theft
942.352
892.124
-5.3
776.676
756.464
-2.6
663.398
653.874
-1.4
1.074.935
1.037.538
-3.5
262.930
262.257
-,3
Motor
vehicle
theft
2.609.664
2.528.290
-3.1
83,350
79,162
-5.0
51,480
48,992
-4.8
195.539
191.598
-2.0
29,534
27.844
-5,7
392.130
381.046
-2.8
Arson'
6,068
5.781
-4.7
5,134
5.030
-2.0
16.102
16.299
+ 1.2
4,510
4.337
-3.8
29.312
29.247
-.2
■The number of agencv reports used m arson trends ,s less than used m compiling trends for other Crime Index offenses. It is not necessary to report arsons by properly 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.
'Property crimes are offenses of burglary, larceny-lhefl. and motor vehicle theft. Data are not included for the property crime ol arson,
Mnclud" :rburb^n"itrand"o:;;^ :rw':n7o?cemem''a7nc.es wnhin metropolitan areas. Excludes central cities. Suburban cies and counties are also included in ,o;f.er group.
Fo?c!we rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department ofStale 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.
191
Table 13. — Crime Trends, OfTenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1991-1992
11992 cslimatcd population]
Population group
Crime
Index
lolal
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Suburban Cities
TOTAL SUBURBAN CITIES;
4,934 cities;
population 47,863,000;
1991
1992
Percent change
2,373,574
2,307,424
-2.8
2,386,784
2,320,372
-2.8
196,807
203,418
-1-3.4
2,176,767
2,104,006
-3.3
1,774
1,797
-1-1.3
12,097
12,737
-W.3
51,923
52,597
■H.3
131,013
136,287
+4.0
445,447
423,806
-4.9
1,534,729
1,490,752
-2.9
196,591
189,448
-3.6
Group IV
506 eilies, 25.000 to 49.999;
population I7.SSS.000:
1991
1992
Percent change
Group V
1.129 cities. 10.000 to 24.999;
population 17,975,000:
1991
1992
Percent change
Group VI
3.299 cities under 10.000;
population 12.334.000:
1991
1992
Percent change
Nonsuburban Cities
TOTAL NONSUBURBAN
CITIES: 3,200 cities;
population 19,641,000:
1991
1992
Percent change
942.261
920.420
-2.3
828,337
800,274
-3.4
602.976
S86.730
-2.7
1,085.219
1,077,314
-.7
Group IV
147 cities, 25.000 to 49.999;
population 5.172.000:
1991
1992
Percent change
Group V
385 cities, 10.000 to 24.999;
population 6,018,000:
1991
1992
Percent change
Group VI
2.668 cities under 10.000;
population 8.451.000;
1991
1992
Percent change
371.265
366,844
-1.2
354.981
352.806
-.6
358.973
357.664
-.4
947,897
926,008
-2.3
832,681
804.421
-3.4
606,206
589,943
-2.7
,091,002
,082.892
-.7
87.733
91.036
^■3.8
68,448
70.348
-1-2.8
40,626
42,034
+3.5
97,080
104,573
+7.7
854.528
829.384
-2.9
759,889
729,926
-3,9
562,350
544.696
-3.1
988,139
972,741
-1.6
809
796
-1,6
621
654
+5,3
344
347
+.9
1,048
1,060
+1.1
5,133
5,342
+4,1
4,352
4,557
+4.7
2,612
2.838
+8.7
6,859
7,424
+8.2
26,503
26.873
+ 1.4
17,547
17,715
+ 1.0
7.873
8.009
+ 1.7
16,987
17,926
+5.5
55,288
58,025
+5.0
45,928
47,422
+3.3
29.797
30.840
+3.5
72,186
78,163
+8.3
183,611
175,574
-4.4
156,353
148,411
-5.1
105.483
99.821
-5.4
214,621
206,877
-3.6
579.218
564,435
-2.6
535.538
517,013
-3.5
419,973
409,304
-2.5
722,566
717,531
-.7
91,699
89.375
-2.5
67,998
64,502
-5.1
36,894
35,571
-3.6
50,952
48,333
-5.1
373,420
368.971
-1.2
356.705
354.440
-.6
360,877
359,481
-.4
36.036
39,570
+9.8
29.654
31.808
+7.3
31,390
33.195
+5.8
335,229
327,274
-2.4
325,327
320,998
-1.3
327,583
324,469
-1.0
361
346
-4.2
342
324
-5.3
345
390
+ 13.0
2,675
2.788
+4.2
2,203
2.442
+ 10.8
1.981
2,194
+ 10.8
9.068
9.511
+4.9
4,802
5,211
+8.5
3,117
3,204
+2.8
23.932
26.925
+ 12.5
22.307
23.831
+6.8
25.947
27.407
+ 5.6
76.212
73,512
-3.5
68.837
66,887
-2.8
69,572
66,478
-4.4
238,003
233,510
-1.9
241,138
239,451
-.7
243,425
244.570
+.5
21,014
20,252
-3.6
15.352
14,660
-4.5
14,586
13.421
-8.0
'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Central cities are excluded.
Nonsuburban places arc outside MSAs.
'The number of agencies used in arson trends is less than used in compiling trends for other Crime 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 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 thcf^. Data are not included for the property crime of arson.
Forcible rape figures furnished by the slate-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Slate 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.
192
Table 14. — Crime Trends, OfTenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1991-1992
(1992 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crimc^
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Saburbtn Counllts'
100.000 and over
1 1 1 counties:
population 28.868.000:
1991
1 .408.407
1,419,244
158,309
1.250,098
1,938
10.326
48,813
97.232
329,962
310,707
772,075
148.061
146,365
— 11
10,837
1 1.156
1992
1.361.694
1,372,850
163,213
1,198,481
1,883
10,426
47^572
103.332
741,409
Percent chanae
-3.3
-3.3
+3.1
-4.1
-2.8
+ 1.0
-2.5
+6.3
-5.8
—4.0
+2.9
25.000 to 99.999
339 counties:
population 17,021.000:
1991
429,596
433,095
41,351
388,245
701
4,243
4,950
31,457
133,290
229,841
25,114
24,550
-2.2
3,499
3,467
-.9
1992
419,542
423,009
41,392
378,150
668
4,612
4.998
31,1 14
126,206
227,394
Percent change
-2.3
-2.3
+.1
-2.6
-4.7
+8.7
+ 1.0
-1.1
-5.3
— 1.1
Under 25.000
817 counties:
population 2.658.000:
1991
141,409
143.153
15,747
125,662
245
1,893
2,202
1 1,407
32,394
71,083
22,185
1,744
1,665
-4.5
1992
133,053
134,718
15,123
117,930
236
1,934
1,886
11,067
30,311
67,101
20,518
Percent change
-5.9
-5.9
-4.0
-6.2
-3.7
+2.2
-14.4
-3.0
-6.4
-5.6
-7.5
Nonsuburban Counties'
25.000 and over
240 counties:
population 9.479,000:
1991
185,252
186.692
16,514
168,738
415
1,960
1,535
12,604
61,765
96.701
10,272
1,440
1992
183,539
1 84,960
17,183
166,356
378
2,087
1,565
13,153
60,250
96,124
9,982
1.421
Percent change
-.9
-.9
+4.1
-1.4
-8.9
+6.5
+2.0
+4.4
-2.5
-.6
-2.8
-1.3
10.000 10 24.999
529 counties:
population 9.965.000:
1991
171,712
172,960
16,144
155,568
451
1,483
1,171
13,039
61,825
84,446
9,297
1,248
1992
169,662
170,845
17,120
152,542
453
1,669
1,162
13,836
59,177
84,894
8,471
1,183
-1.2
-1.2
+6.0
-1.9
+.4
+ 12.5
-.8
+6.1
-4.3
+.5
-8.9
-5.2
Under 10.000
1.498 counties:
population 4.527.000:
1991
126,258
127,904
13,837
112,421
436
1,918
811
10,672
41,905
62.735
7,781
1,646
1992
124,008
125,547
14,948
109,060
366
2,057
777
11,748
39,709
62.095
7,256
1,539
Percent change
-1.8
-1.8
+8.0
-3.0
-16.1
+7.2
-4.2
+ 10.1
-5.2
-1.0
-6.7
-6.5
'The number of agencies used in arson trends is less than used in compiling trends for other Crime Index ofTcnscs. 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 (he 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.
*Crime offenses include sheriffs' and county law enforcement agencies. State police offenses are not included.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale 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.
193
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195
Table 16. — Crime Rates, Offenses Known to the Police, Population Group, 1992
[1992 estimated population. Rate: Number of crimes per 100,000 inhabitants]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
TOTAL ALL AGENCIES:
11,980 agencies;
population 227,413,000:
Number of offenses known
Rate
TOTAL CITIES: 8,325 cities;
population 155,284,000:
Number of offenses known
Rate
13,435,411
5,907.9
10,985,141
7,074.2
Group I
63 cities, 250,000 and over;
population 46,118,000:
Number of offenses known
Rate
8 cities, 1,000.000 and over;
population 20,365,000:
Number of offenses known
Rate
18 cities, 500,000 to 999,999;
population 12,199,000:
Number of offenses known
Rate
37 cities, 250,000 to 499,999;
population 13,555,000:
Number of offenses known
Rate
Group II
131 cities, 100,000 to 249,999;
population 19,605,000:
Number of offenses known
Rale
Group III
337 cities, 50,000 to 99,999;
population 23,376,000:
Number of offenses known
Rate
4,392,442
9,524.3
1,845,665
9,063.0
1,137,146
9,321.9
,409,631
10,399.5
1,624,819
8,287.6
1,527,036
6,532.6
1,833,501
806.2
11,601,910
5,101.7
22,543
9.9
101,065
44.4
653,323
287.3
1,056,570
464.6
2,760,159
1,213.7
7,306,295
3,212.8
1.535,456
675.2
1,551.180
998.9
9,433,961
6,075.3
18,379
11.8
76,610
49.3
594,725
383.0
861,466
554.8
2,115,913
1,362.6
5,999,674
3,863.7
1,318,374
849.0
831,090
1,802.1
437,314
2,147.4
170,438
1,397.2
223,338
1,647.7
217,722
1,110.5
180,903
773.9
3,561,352
7,722.2
,408,351
6,915.6
966,708
7,924.7
1,186,293
8.751.9
1,407,097
7,177.1
1,346,133
5,758.7
11,436
24.8
6,044
29.7
2,684
22.0
2,708
20.0
2.385
12.2
1,625
7.0
31,265
67.8
10,970
53.9
9.018
73.9
11,277
83.2
12,370
63.1
10,987
47.0
387.177
839.5
219,053
1,075.6
78,733
645.4
89,391
659.5
75,673
386.0
58,117
248.6
401,212
870.0
201,247
988.2
80.003
655.8
119,962
885.0
127,294
649.3
110,174
471.3
828,185
1,795.8
319,990
1,571.3
219,529
1,799.6
288,666
2,129.6
340,179
1,735.1
.304,653
1,303.3
1,999,209
4,335.0
726,989
3,569.8
576,918
4,729.4
695.302
5,129.6
885,692
4,517.6
877,665
3,754.6
733,958
1,591.5
361,372
1,774.5
170,261
1,395.7
202,325
1,492.6
181,226
924.4
163,815
700.8
196
I'able 16. — Crime Rates, Offenses Known to the Police, Population Group, 1992 — Continued
[['^'^2 cslimalod populallon. Rale: Number of crimes per 100.000 mhabilant^]
Populalion group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Properly
crimc^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group IV
654 cities. 25.000 to 49,999;
population 22.826.000:
Number of offenses known
Rate
Group V
1.495 cities. 10.000 to 24,999:
population 23.607,000:
Number of offenses known
Rate
Group VI
5.645 cities under 10,000;
population 19,752,000:
Number of offenses known
Rate
Suburban Counties
1.239 agencies:
population 47.680.000:
Number of offenses known
Rate
Rural Counties*
2.416 agencies;
population 24.448.000;
Number of offenses known
Rale
1.327.211
5.814.5
1.157,560
4.903.5
956.073
4.840.4
1.923.698
4,034.6
526.572
2,153.8
136,731
599.0
104.324
441.9
80,410
407.1
227,011
476.1
55,310
226.2
1,190,480
5,215.4
1,053.236
4.461.6
875.663
4.433.3
1.696.687
3.558,5
471.262
1.927.6
1.183
5.2
1.011
4.3
739
3.7
2.871
6.0
1,293
5.3
9.011
39.5
7.656
32.4
5.321
26.9
17.791
37.3
6,664
27,3
37,099
162.5
22.836
96.7
13,823
70.0
54,446
114. 2
4,152
17.0
89,438
391.8
72.821
308.5
60,527
306.4
151.903
318.6
43,201
176.7
257.964
1,130.1
217,038
919.4
167,894
850.0
472,775
991.6
171,471
701.4
821.197
3.597.6
756,800
3,205.9
659,111
3,336.9
1.035.340
2.171.4
271.281
1.109.6
111.319
487.7
79.398
336.3
48.658
246.3
88.572
395.5
28.510
116.6
Suburban .Area'
5.949 agencies;
population 94.272.000:
Number of offenses known
Rate
4.249.082
4.507.3
438,069
464.7
3,811.013
4.042.6
4.712
5.0
31.736
33.7
109.350
116.0
292,271
310.0
902,257
957.1
2,530,830
2,684.6
377,926
400.9
'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 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 state police agencies with no county breakdown.
'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 on the population before rounding.
Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national
UCR guidelines. See Appendix 1 for details.
197
Table 17. — Crime Rates, Oflenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1992
(1992 estimated population. Rate: Number of crimes per 100,000 inhabitants)
Population group
Crime
Index
total
Modified
Crime
Index
lotaP
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Suburban Cities
TOTAL SUBURBAN CITIES:
4.710 cities;
population 46,592,000:
Number of olTenses known
Rate
Group IV
503 cities, 25,000 to 49,999;
population 17.486.000:
Number of offenses known
Rate
Group V
.110 cities, 10,000 to 24,999;
population 17,600,000:
Number of offenses known
Rate
Group VI
3,097 cities under 10,000;
population 11,506,000:
Number of offenses known
Rale
Nonsuburban Cities
TOTAL NONSUBURBAN
CITIES: 3,084 cities;
population 19,593,000:
Number of offenses known
Rate
Group IV
151 cities, 25,000 to 49,999;
population 5.340.000:
Number of offenses known
Rate
Group V
385 cities, 10,000 to 24,999;
population 6,006,000:
Number of offenses known
Rate
Group VI
2,548 cities under 10.000;
population 8,246,000:
Number of offenses known
Rate
2,325,314
4,990.8
942,278
5.388.9
795,568
4,520.2
587.468
5.105.9
1,115,483
5,693.2
384,921
7,207.6
361,960
6,026.3
368.602
4.469.9
210,988
452.8
2,114,326
4.538.0
1,841
4.0
13,875
29.8
54,904
117.8
140,368
301.3
429,482
921.8
1,495,490
3,209.8
189,354
406.4
95,192
544.4
70.863
402.6
44,933
390.5
847,086
4.844.5
724.705
4.117.5
542.535
4,715.4
827
4.7
663
3.8
351
3.1
5,929
33,9
4,959
28.2
2.987
26.0
27.245
155.8
17.366
98.7
10,293
89.5
61.191
350.0
47,875
272,0
31.302
272.1
181,585
1,038.5
148.611
844.4
99.286
862.9
575.179
3,289.4
511,941
2,908.7
408,370
3,549,3
90,322
516.6
64,153
364,5
34,879
303.1
110,430
563.6
1,005,053
5,129.6
1,092
5.6
8,066
41.2
18,854
96.2
82,418
420.6
213,414
1,089.2
741,618
3,785.1
50,021
255.3
41,527
777,6
33,429
556.6
35.474
430.2
343,394
6,430.0
328,531
5,469.7
333,128
4.039.7
356
6.7
348
5.8
388
4.7
3,070
57.5
2,665
44.4
2,331
28.3
9,854
184.5
5,470
91.1
3,530
42.8
28,247
528.9
24.946
415.3
29.225
354.4
76,379
1,430.2
68.427
1,139,2
68,608
832.0
246.018
4,606.7
244.859
4.076.6
250.741
3.040.6
20.997
393.2
15.245
253.8
13,779
167.1
'Suburban places are within 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.
*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 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.
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 Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. See Appendix I for details.
198
Table 18. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1992
(I**92 cslimaled population. Rale: Number of crimes per 100.000 mhabilants)
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Properly
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
Arson'
Suburban Counties*
100,000 and over
1 1 1 counties;
population 27.880.000:
Number of offenses known
Rate
1,352,781
4,852.1
167.142
599.5
1,185,639
4,252.6
1,905
6.8
10,830
38.8
47,278
169.6
107,129
384.2
310,354
1,113.2
733.127
2.629.6
142,158
509.9
25.000 to 99,999
333 counties:
population 16.917.000:
Number of offenses known . .
437,883
2,588.4
44,448
262.7
393,435
2,325.6
717
4.2
4.912
29.0
5.384
31.8
33,435
197.6
131,363
776.5
236,037
1,395.2
26.035
153.9
Under 25.000
795 counties:
population 2.883.000:
Number of offenses known
Rate
132,943
4,611.5
15,330
531.8
117,613
4,079.7
249
8.6
1.958
67.9
1.784
61.9
11.339
393.3
31.058
1,077.3
66,176
2,295.5
20.379
706.9
Nonsuburban Counties'
25,000 and over
244 counties:
population 9.663.000:
Number of offenses known . .
Rate
202,890
2,099.7
20,676
214.0
182,214
1.885.7
433
4.5
2.321
24.0
1,953
20.2
15,969
165.3
65.741
680.4
105,588
1,092.7
10,885
112.6
10,000 to 24,999
616 counties;
population 9.726.000:
Number of offenses known . .
Rate
166.612
1,713.1
16.756
172.3
149.856
1.540.8
450
4.6
1.775
18.3
I.II5
11.5
13.416
137.9
57,396
590.1
84.225
866.0
8,235
84.7
Under 10,000
1.462 counties;
population 4,413.000:
Rate
123,868
2,807.2
14.854
336.6
109.014
2.470.5
368
8.3
2,123
48.1
782
17.7
11.581
262.5
39,415
893.2
62.312
1.412.2
7,287
165.1
'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 rales
appear on page 54 of this publication.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault,
^Properly crimes are offenses of burglary, larceny-thefl. and motor vehicle theft. Data are not included for the property crime of arson.
*Offenses include sheriffs' and county law enforcement agencies. State 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 Department of State Police were not in accordance with national UCR
guidelines. See Appendix I for details.
199
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201
Table 20.— Murder, State, Type of Weapon, 1992
Slate
Firearms
Knives or
Hands,
Total
Total
(type
cutting
Other
fists.
murders'
firearms
Handguns
Rines
Shotguns
unknown)
mstruments
weapons
feet, etc.
191
230
24
210
196
15
165
13
5
8
21
4
14
64
10
31
80
7
47
17
43
2
304
23
16
249
185
137
12
26
10
38
15
11
3.921
2,851
2,442
163
173
73
544
353
173
214
119
88
10
10
11
46
37
12
166
114
99
4
5
6
31
19
2
20
8
4
1
1
2
4
6
2
442
368
712
368
507
36
131
38
265
1,176
20
38
147
68
671
443
373
21
38
11
104
88
36
42
15
21
832
10
12
689
3
7
17
2
8
5
196
8
6
131
1 1
35
2
91
3
1,217
35
58
355
239
190
16
23
10
56
46
14
23
9
73
128
7
63
99
1
6
8
1
3
15
33
6
28
35
5
133
4
13
17
211
8
15
659
507
445
18
22
22
80
57
15
596
428
392
5
25
6
90
60
18
178
89
71
5
3
10
41
28
20
934
655
388
45
67
155
133
117
29
133
72
54
7
4
7
33
16
12
203
133
113
4
13
3
35
25
10
458
296
189
9
22
76
57
94
11
18
12
26
70
12
190
11
18
61
10
151
1
2
3
3
10
24
3
65
3
42
6
6
2
15
4
27
1
99
2
130
9
18
2
397
3
21
43
89
53
42
5
4
2
17
14
5
2,378
1.760
1,643
20
59
38
297
199
122
708
450
8
428
340
367
36
4
11
74
1
32
114
1
92
108
3
84
36
12
1
18
647
43
206
126
98
13
14
1
44
19
17
137
60
36
13
5
6
19
42
16
684
450
371
17
27
35
105
88
41
35
17
251
11
180
2
20
1
39
3
12
5
56
13
35
361
19
4
4
66
434
301
250
16
32
3
55
12
2,239
1,627
1,164
73
144
246
299
230
83
51
23
19
2
1
1
9
12
7
10
6
407
2
336
2
20
2
10
2
69
2
54
563
41
33
255
137
115
11
7
4
57
39
22
114
82
57
5
18
2
16
9
7
184
113
84
9
13
7
34
19
18
17
7
5
2
4
2
4
Alabama
Alaska ,
Arizona
Arkansas ,
California ,
Colorado ,
Connecticut ,
Delaware ,
District of Columbia
Florida ,
Georgia
Hawaii ,
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine^
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carohna
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
'Toial number of murders for which supplemental homicide data were received.
^Dala for 1992 were not available for the State of Maine.
202
lable 21.— Robben, Stale, lype of Weapon, 1992
Stale
Knives or
Total
cutting
Other
Strong-
Agency
robberies'
Firearms
instruments
weapons
armed
count
Population
622
211
72
39
300
23
552,000
5,744
2.063
616
556
2.509
81
3,621,000
3,003
1.365
267
243
1.128
182
2,393,000
1 30.842
50,119
14,120
15,899
50.704
756
30,799,000
4,037
1,271
484
506
1,776
215
3,270,000
6,918
2,743
762
491
2,922
100
2,815,000
203
50
23
6
124
3
372,000
7.459
3,433
695
473
2,858
2
589,000
48.169
17.986
3.395
3,601
23,187
444
13,059,000
16,033
7,927
1,090
2,291
4,725
327
5,584,000
1.151
115
69
26
941
5
1,160,000
199
57
32
20
90
58
769,000
46.619
19.881
4.366
3,387
18,985
422
9,793.000
5,492
2,229
520
323
2,420
210
3,152,000
581
III
53
77
340
99
1,230.000
3,255
1,379
280
482
1,114
257
2,389,000
10,854
6,580
721
861
2,692
75
3.038,000
272
59
25
17
171
128
1 ,039,000
21,035
11.620
1,499
1.230
6,686
150
4,903,000
9,789
2,377
2.133
973
4,306
223
4.654,000
20,605
9,767
1,595
3,329
5,914
595
8.932.000
4,898
1.136
468
411
2,883
299
4,456.000
2,203
1,140
160
135
768
70
1,141.000
11,340
5,246
851
880
4.363
182
3,830,000
150
38
14
20
78
71
742.000
270
90
27
25
128
231
1,165,000
4,282
1,898
379
180
1,825
17
1,146,000
350
79
48
23
200
97
998,000
22,215
6,935
2,510
1,790
10,980
517
7,784,000
1.842
880
219
172
571
50
1 ,009,000
105,323
39,276
16,014
9,846
40,187
637
16,016,000
12,563
5,075
1,136
1,194
5,158
429
6,626,000
46
9
8
23
6
81
529,000
20.210
7,881
1,335
2,044
8,950
318
8,026,000
4,369
1,737
376
277
1,979
268
3,110,000
4,469
1,405
589
371
2,104
190
2,821,000
20,496
8.127
1,884
1,275
9,210
735
9,845,000
950
234
153
54
509
43
1,005,000
5,642
2.048
613
604
2,377
157
3,081,000
113
31
24
9
49
75
595,000
10.520
5,574
835
639
3.472
136
3,349.000
44.578
20.068
4,752
4,386
15,372
864
17,633,000
986
289
94
141
462
89
1,637,000
37
12
6
19
40
478.000
8.787
4,002
768
662
3,355
407
6.377,000
7,103
2,262
743
560
3,538
196
5,027,000
787
307
59
47
374
296
1,810,000
5.938
3,142
481
267
2,048
307
4,887,000
82
25
10
5
42
59
449,000
Alabama^
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District or Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky'
Louisiana
Maine
Mars'land
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New- Mexico
New York
North Carolina
Nonh Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
'The number of robberies for which breakdowns were received,
Offense breakdowns were not received.
203
Table 22.— Aggravated Assault, State, Type of Weapon, 1992
State
Total
Knives or
aggravated
cutting
Other
Personal
Agency
assaults'
Firearms
instruments
weapons
weapons
count
Population
2,495
599
583
589
724
23
552,000
17,240
5,675
2,644
4,917
4,004
81
3,621,000
9,548
2,795
1,465
2,267
3,021
182
2,393,000
197,852
43,617
24,926
55,722
73,587
756
30,799,000
13,353
3,880
2,331
4,255
2,887
215
3,270,000
8,284
1,060
1,429
2,988
2,807
100
2,815,000
806
133
233
306
134
3
372,000
8,568
2,108
2,028
3,482
950
2
589,000
101,641
25,011
19,888
41.218
15,524
444
13,059,000
25.159
7.241
5,572
7,630
4,716
327
5,584,000
1,365
211
123
233
798
5
1.160,000
1,827
361
338
554
574
58
769,000
57,395
20,020
12,886
20,607
3,882
422
9,793,000
14,290
2,739
1,823
3,632
6,096
210
3,152,000
2,643
346
459
960
878
99
1,230.000
8,273
2,733
1,333
2.741
1,466
257
2.389.000
22,450
7,723
3,717
5.873
5,137
75
3.038.000
940
52
139
230
519
128
1.039,000
25,139
6,054
5,088
9.914
4,083
150
4,903,000
27,726
2,295
4,834
9.093
11,504
223
4,654,000
42,281
12,030
7,441
17,311
5,499
595
8,932,000
8,224
1,961
1,954
2,408
1,901
299
4,456,000
3,402
1,367
633
661
741
70
1,141,000
21,804
8,105
3,478
6,915
3,306
182
3,830,000
684
205
130
115
234
71
742,000
1,678
177
303
690
508
231
1,165,000
3,324
66!
636
1,098
929
17
1,146,000
531
76
99
126
230
97
998,000
23,738
3,836
5,724
7,405
6,773
517
7.784.000
7,978
1.836
1.314
2,779
2,049
50
1.009.000
84,075
16.941
20.353
27,367
19,414
637
16,016.000
29,838
8,763
5.752
7,712
7,611
429
6,626.000
293
21
43
83
146
81
529.000
24,904
6,665
4.426
7.249
6,564
318
8.026.000
13,636
3,592
2.013
3.951
4,080
268
3,110.000
8,845
2,013
1,537
2,889
2,406
190
2.821.000
20,576
3,840
3,234
4,555
8,947
735
9.845.000
2,668
316
431
863
1,058
43
1.005.000
22,384
5,854
5,141
8,346
3,043
157
3,081,000
823
162
178
223
260
75
595,000
19,174
5,429
3,456
6,151
4,138
136
3.349.000
86,032
24,213
16,897
21,698
23,224
864
17,633.000
3,209
594
601
1,103
911
89
1.637,000
346
81
49
90
126
40
478.000
12,548
2,604
2.898
3,080
3,966
407
6,377,000
16,125
3,912
2.713
4,883
4,617
196
5,027,000
2,535
441
533
637
924
296
1,810,000
6,135
1,355
876
1,203
2,701
307
4,887,000
1,192
180
162
281
569
59
449,000
Alabama'
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky'
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
'The number of aggravated assaults for which breakdowns were received.
^Offense breakdowns were not received.
204
Table 23.— Offense Analysis, 1992, and Percent Change from 1991
[12.589 agencies; 1992 estimated population 228.654.000)
Classification
Number of
offenses
1992
Percent
change over
1991
Percent
distribu-
tion'
Average
value
MURDER
FORCIBLE RAPE
ROBBERY;
Total
Street/highway
Commercial house ...
Gas or service station
Convenience store
Residence
Bank
Miscellaneous
BURGLARY:
Totml
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
21.092
98,898
63«,079
353,904
75,402
15,845
33,401
63,959
10,519
83,049
2,667,173
1,765,870
563,403
773,159
429,308
901,303
420,612
231,742
248,949
7,100,352
70.144
67,152
1,124,694
1,607,865
993,155
420,345
992,866
64,666
1,759,465
2,551,714
1,681,280
2,867,358
1,148,352
-1.5
-t-4.2
-2.3
-2.8
-.5
-4.8
-11.0
-.2
-t-1.2
+ 1.0
-5.5
-5.4
-5.1
-4.6
-7.1
-5.8
-6.2
-.2
-9.6
-2.4
-5.3
-11.2
-6.6
-1.6
-3.4
-.3
-2.8
-9.2
-f-.6
-2.0
-2.4
-2.8
-1.0
100.0
55.6
11.9
2.5
5.3
10.1
1.7
13.1
100.0
66.2
21.1
29.0
16.1
33.8
15.8
8.7
9.3
100.0
1.0
.9
15.8
22.6
14.0
5.9
14.0
.9
24.8
35.9
23.7
40.4
$89
27
840
672
1,380
513
402
1,123
3,325
770
1,278
1,215
973
1,306
1,369
1,400
1,153
1,827
1,420
483
430
292
106
555
297
231
802
141
665
1,242
114
24
4,713
'Because of rounding, percentages may not add to totals.
Table 24. — Type and Value of Property Stolen and Recovered, 1992
[12.589 agencies; 1992 estimated population 228,654,000]
Type of property
Value of property
Stolen
Recovered
Percent
recovered
Total'
Currency, notes, etc
Jewelry and precious metals ..
Clothing and furs
Locally stolen motor vehicles .
Office equipment
Televisions, radios, stereos, etc.
Firearms
Household goods
Consumable goods
Livestock
Miscellaneous
$14,607,655,000
$5,202,203,000
918,797,000
1,257,043,000
408,539,000
7,332,195,000
320,220,000
1,135,415,000
129,290,000
249,138,000
113,020,000
18,200,000
2,725,799,000
60,984,000
56,698,000
42,583,000
4,681,303,000
25,007,000
54,491,000
13,468,000
17,275,000
13,111,000
2,232,000
235,051,000
35.6
6.6
4.5
10.4
63.8
7.8
4.8
10.4
6.9
11.6
12.3
8.6
'All totals and percentages calculated before rounding.
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
1992 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 en-
forcement control precludes the placing of formal 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 1992. Collectively,
45 percent of violent crimes were cleared. Among the
violent offenses, the rates were 65 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 more intense investigative
efforts are often given these offenses and witnesses are
frequently available to identify the perpetrators.
The overall property crime clearance rate was 18 per-
cent. 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.
The highest total Crime Index clearance rates geographi-
cally were registered in the Southern and Western States,
each with 22 percent. Following were the Northeastern and
Midwestern States, each with 21 percent. For violent crime
overall, the highest clearance rate was recorded in the
South with 48 percent. In the West, the rate was 46
percent, in the Northeast, 41 percent, and in the Midwest,
40 percent. Property crime clearance rates were 1 8 percent
in the Midwest, South, and West and 17 percent in the
Northeast.
By community type, city law enforcement agencies
showed clearances for 21 percent of the Crime Index
offenses brought to their attention. Those in suburban
counties cleared 20 percent, and those in rural counties, 23
percent. Among the population groups, cities with 10,000
to 24,999 inhabitants registered the highest total Crime
Index clearance rate, 26 percent. The highest violent crime
clearance rates were recorded in the rural counties with 61
percent. Like Crime Index clearance rates, those for
property crimes were highest for cities with populations
from 10,000 to 24,999, at 23 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 has 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 clear-
ance percentages shown in this publication indicate only
those offenses where no adults were involved, they should
be considered a slight underestimation of juvenile involve-
ment in crime. Juveniles (persons under 18 years of age)
account for 26 percent of the United States population,
according to 1992 Bureau of the Census estimates.
Twenty percent of the Crime Index offenses cleared by
law enforcement during 1992 involved only young people
under age 18. Persons in this age group accounted for 13
percent of the violent crime clearances and 23 percent of
those for property crimes. Murder showed the lowest
percentage of juvenile involvement (9 percent), while the
highest percentage was shown for arson (42 percent).
Geographically, the Midwestern States recorded the
largest percentage of Crime Index offense involvement by
the under- 18 age group — 22 percent. Juveniles alone were
the offenders in 21 percent of the clearances in the Western
States, 19 percent of those in the Southern States, and 18
percent of those in the Northeastern States.
206
CHART 3.1
CRIMES CLEARED
by ARREST
1992
§
w
Murder
Agsravated
Assault
Forcible
Rape
Robbery
Crimes
Violence
I Not Cleared
Cleared
Crimes
Against
Property
I Not Cleared
I Cleared
Burglary
Larceny-Theft
Motor Vehicle
Theft
207
Table 25. — Offenses Known and Percent Cleared by Arrest', Population Group, 1992
[1992 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thef)
Motor
vehicle
theft
Arson'
TOTAL ALL AGENCIES;
13,246 agencies;
population 235,810,000:
Oflenses known
Percent cleared by arrest
TOTAL CITIES: 9,301 cities;
population 160,465,000:
Offenses known
Percent cleared by arrest .
Group I
63 cities, 250.000 and over;
population 46.186.000:
Oft'enses known
Percent cleared by arrest .
8 cities. 1,000.000 and over;
population 20,365.000:
Offenses known
Percent cleared by arrest .
18 cities, 500,000 to 999.999;
population 12,199,000:
Offenses known
Percent cleared by arrest .
37 cities. 250,000 to 499,999:
population 13,622,000:
Offenses known
Percent cleared by arrest .
Group II
130 cities. 100,000 to 249.999:
population 19,456,000:
Offenses known
Percent cleared by arrest ..
Group III
350 cities, 50,000 to 99,999;
population 24,230,000:
Offenses known
Percent cleared by arrest . . .
See footnotes at end of table.
13,644,294
21.4
13,745,450
21.3
1,854,630
44.6
11,789,664
17.7
22,692
64.6
97,761
51.5
657,014
24.0
1,077,163
56.2
2,799,638
13.4
7,436,957
20.2
1,553,069
13.8
11,129,801
21.5
11,210,037
21.4
1,565,519
43.1
9,564,282
18.0
18,460
63.5
73,882
51.1
596,782
23.6
876,395
55.2
2,138,908
12.9
6,096,362
20.8
1,329,012
13.0
4,388,956
18.8
1,844.138
19.0
1,137,146
18.0
1,407,672
19.3
4,427,724
18.7
1,863,825
18.9
1,144,729
17.9
1,419,170
19.2
1,605,099
21.4
1,561,115
22.0
,617.327
21.4
1,570,762
22.0
828,803
38.5
435,787
37.0
1 70,438
38.5
222,578
41.4
3,560,153
14.3
1,408,351
13.5
966,708
14.3
1,185,094
15.1
214,579
45.4
185,389
44.2
1,390,520
17.7
1,375,726
19.0
11,408
59.6
6,044
55.8
2,684
59.4
2,680
68.2
2.363
66.3
1,650
68.8
29,784
53.4
9,443
51.1
9,018
56.3
11,323
53.0
12,000
48.4
10.690
48.7
386,336
21.4
219,053
20.5
78,733
21.5
88.550
23.6
74,889
27.0
59,173
25.4
401,275
53.2
201.247
53.7
80,003
52.6
120,025
52.8
125,327
55.8
113,876
53,2
826,668
11.3
319,990
10.6
219,529
11.8
287,149
11.8
2,000,438
16.9
726,989
17.0
576.918
16.1
696,531
17.6
335.863
12.7
311,236
12.8
873,401
20.5
898,335
22.3
733,047
10,3
361,372
9.0
170,261
11.8
201.414
11.5
181.256
13.8
166,155
12,9
101,156
14.8
80,236
13.8
38,768
9.2
19,687
5.7
7,583
12.9
11,498
12.7
12.228
16.3
9,647
14.9
208
Table 25. — OfTenses Known and Percent Cleared by Arrest',
Population Group,
1992— Continued
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group IV
678 cities. 25.000 to 49.999;
population 23.595.000:
1.354.617
23.7
1.362.524
23.6
140.005
48.3
1.214.612
20.8
1.196
69.3
8.548
49.9
37.982
28.4
92.279
56.0
262,175
14.2
838.605
23.5
113.832
16.2
7.907
Percent cleared by arrest
17.4
Group V
1.577 cities. 10.000 to 24.999;
population 24,890,000;
1,200,248
25.9
1.206.369
25.9
109.501
53.0
1.090.747
23.2
1,042
74.0
7.375
50.0
23.760
31.4
77.324
59.7
223,973
15.4
784,226
25.5
82.548
21.8
6.121
Percent cleared by arrest
22.8
Group V!
6.503 cities under 10.000;
population 22.109.000:
1.019,766
24.1
1.025.331
24.1
87.242
57.1
932.524
21.0
801
78.2
5,485
52.7
14.642
31.1
66,314
63.0
178,993
16.1
701.357
21.7
52.174
28.0
5.565
Percent cleared by arrest
23.6
Suburban Counties
1.313 agencies;
population 49.330.000:
1.968.541
20.3
1.984.736
20.2
230,026
51.2
1,738,515
16.2
2.904
66.6
17,314
52.6
55.927
26.7
153,881
59.7
482.251
14.2
1.061.489
17.1
194.775
16.0
16.195
Percent cleared by arrest
17.4
Rural Counties
2.632 agencies;
population 26.015.000:
OfTenses known
545.952
23.0
550.677
23.0
59.085
60.7
486.867
18.4
1.328
74.5
6,565
53.0
4,305
38.1
46.887
63.4
178,479
16.4
279.106
18.3
29.282
32.4
4.725
Percent cleared by arrest
21.8
Suburban Area'
6,524 agencies;
population 98.986.000:
4,392.592
21.9
4.422.350
21.9
451,473
51.1
3,941.119
18.6
4.812
67.0
30.783
51.6
113.206
27.4
302,672
59.6
927,695
14.3
2.620.916
20.3
392.508
16.8
29.758
Percent cleared by arrest
18.5
'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.
•Property crimes are offenses of burglary, larceny-thcf^. and motor vehicle thef^. 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 stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of 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.
209
Table 26. — Offenses Known and Percent Cleared by Arrest', Geographic Region and Division, 1992
[1992 estimated population]
Geographic region/
division
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
TOTAL
13,246 agencies; population
235,810,000:
Offenses known
13,644,294
13,745,450
1,854,630
11,789,664
22,692
97,761
657,014
1,077,163
2,799,638
7,436,957
1,553,069
101,156
Percent cleared by arrest
21.4
21.3
44.6
17.7
64.6
51.5
24.0
56.2
13.4
20.2
13.8
14.8
New England
683 agencies; population
11,238,000:
Offenses known
543.246
546,722
63,237
480,009
428
3,771
18,345
40,693
119,194
284.877
75,938
3,476
Percent cleared by arrest
22.5
22.5
50.6
18.8
69.6
49.7
26.9
61.2
14.2
21.5
15.9
18.6
Middle Atlantic
2.232 agencies: population
37,190.000:
Offenses known
1,811,027
1.827,499
298,811
1,512,216
3.508
10.679
150,564
134,060
334,378
896.051
281,787
16,472
Percent cleared by arrest
20.0
19.9
38.8
16.3
67.0
56.2
23.3
54.2
13.0
19.8
8.9
11.2
Northeast
2,9 IS agencies; population
48,428,000:
Offenses known
2,354,273
2,374,221
362,048
1,992,225
3,936
14,450
168,909
174,753
453,572
1,180.928
357,725
19,948
Percent cleared by arrest
20.6
20.5
40.9
16.9
67.3
54.5
23.7
55.8
13J
20.2
10.4
12,5
East North Central
2,142 agencies; population
37,238,000:
OfTenses known
1,982,935
1,999,379
264,772
1,718,163
3,445
15,672
99,772
145,883
373,898
1.129,196
215,069
16,444
Percent cleared by arrest
20.1
20.0
37.8
17.3
50.6
39.4
18.9
50.3
10.9
20.1
14.0
10.7
West North Central
1.378 agencies; population
15,313.000:
Offenses known
729,901
734,841
73,319
656.582
896
5,040
21,136
46,247
148,032
453,126
55,424
4,940
Percent cleared by arrest
22.1
22.0
46.9
19.3
72.3
51.6
23.4
56.6
13.0
21.5
18.8
10.1
Midwest
3,520 agencies; population
52,551,000:
Offenses known
2,712,836
2,734,220
338,091
2,374,745
4,341
20,712
120,908
192,130
521,930
1,582,322
270,493
21,384
Percent cleared by arrest
20.6
20.5
39.8
17.9
55.1
42.4
19.7
51.8
11.5
20.5
15.0
10.5
South Atlantic
2.482 agencies; population
44,203.000:
Offenses known
2,828,244
2,841,433
382,057
2,446,187
4,678
19,836
122,613
234.930
627,500
1,571,622
247.065
13,189
Percent cleared by arrest
21.8
21.8
47.2
17.9
68.4
56.7
25.9
57.1
15.2
18.8
18.7
23.3
East South Central
1,001 agencies: population
11.375,000:
Offenses known
577,859
581,151
95,655
482,204
1,179
5,063
20,611
68,802
132,928
298,387
50,889
3,292
Percent cleared by arrest
23.7
23.6
49.5
18.5
71.7
56.5
27.4
55.2
13.9
21.0
15.9
19.3
West South Central
1,416 agencies; population
26,290.000:
Offenses known
1,765,244
1,777,808
211,167
1,554,077
3,338
13,407
62,800
131,622
386,188
974,073
193.816
12,564
Percent cleared by arrest
21.3
21.2
48.2
17.6
72.8
56.8
27.8
56.5
13.7
19.8
14.7
19.2
See footnotes at end of table.
210
Tabk 26.— Offenses Known and Percent Cleared by Arrest',
Geograph
c Region
and Division, 1992 — Continued
Geographic r«gion/
division
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
South
4,899 agencies; population
81,868,000:
OfTenscs known
Percent cleared by arrest
5,171.347
21.8
5,200,392
21.8
688,879
47.8
4,482,468
17.8
9,195
70.4
38,306
56.7
206,024
26.6
435,354
56.6
1,146,616
14.5
2,844,082
19.4
491,770
16.8
29,045
21.1
Mountain
722 agencies; population
13,098.000:
789,008
23.5
793.579
23.5
73,752
50.3
715,256
20.7
858
69.5
5,981
44.4
17,395
24.4
49,518
59.7
149,375
12.7
496,983
23.6
68,898
17.1
4,571
Percent cleared by arrest
19.3
Pacihc
1.190 agencies; population
39.865.000;
OITenses known
Percent cleared by arrest
2,616,830
21.3
2,643.038
21.2
391,860
45.5
2,224,970
17.0
4,362
58.1
18,312
50.9
143.778
24.0
225,408
58.6
528.145
12.9
1,332,642
20.2
364,183
11.4
26.208
12.0
West
1,912 agencies; population
52,963,000:
Offenses known
Percent cleared by arrest
3,405,838
21.8
3,436,617
21.7
465,612
46.3
2,940,226
17.9
5,220
60.0
24,293
49.3
161,173
24.0
274,926
58.8
677,520
12.8
1,829,625
21.1
433,081
12.3
30,779
13.1
'Includes ofTenses 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. II 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 ofTenses, 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.
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 and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
211
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213
Table 28.— Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1992
[1992 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
TOTAL ALL AGENCIES;
12,352 agencies;
population 219.04S,000:
Total clearances
Percent under 18
TOTAL CITIES: 8.835 cities;
population 147,719,000:
Total clearances
Percent under 18
Group I
59 cities, 250,000 and over;
population 37,320,000:
Total clearances
Percent under 18
7 cities, 1,000,000 and over;
population 12,990,000:
Total clearances
Percent under 18
16 cities, 500,000 to 999,999;
population 10,981,000:
Total clearances
Percent under 18
36 cities, 250,000 to 499,999;
population 13,350,000:
Total clearances
Percent under 18
Group II
126 cities, 100,000 to 249,999;
population 18,743,000:
Total clearances
Percent under 18
Group III
342 cities, 50,000 to 99,999;
population 23,672,000:
Total clearances
Percent under 18
Group IV
661 cities, 25,000 to 49,999;
population 23,000,000:
Total clearances
Percent under 18
2,710,120
20.0
2,206,101
19.9
2,724,517
20.1
2,216,777
20.0
732,422
12.8
588,149
12.6
1,977,698
22.6
1,617,952
22.6
12,603
9.0
9,868
9.3
46,635
14.1
34,646
12.3
132,555
15.9
116,285
15.5
540,629
12.0
427,350
11.8
349,609
19.7
255,341
19.0
1,428,900
23.1
1,202,789
23.1
199,189
23.9
159322
24.2
704
,336
15.6
260,
,850
12.3
177,
,673
16.8
265
813
18.0
330,593
18.2
335,380
22.1
303,818
23.2
707,649
15.7
261,970
12.4
178,428
16.8
267,251
18.1
332,529
18.4
336,793
22.3
305,175
23.3
254,929
11.0
110,176
9.0
54,574
13.1
90,179
12.3
91,840
12.0
79,439
13.8
62,013
15.1
449,407
18.2
150,674
14.7
123,099
18.4
175,634
20.9
238,753
20.6
255,941
24,8
241,805
25.3
5,175
10.5
2,194
11.2
1,238
10.2
,743
9.7
1,479
8.7
1,113
7.3
772
7.8
13,669
10.7
3,434
8.2
4,407
12.5
5,828
10.8
5,574
11.4
5,033
12.3
4,077
15.0
60,547
13.4
25,922
12.4
14,410
14.3
20,215
14.2
19,317
16.2
14,698
18.4
10,275
19.1
175,538
10.3
78,626
7.8
34,519
12.7
62,393
12.0
65,470
10.8
58,595
12.8
46,889
14.3
79,984
13.8
25,202
11.7
21,663
13.6
33,119
15.4
40.976
16.5
38.748
20.7
34,916
22.1
303,792
17.4
100,547
13.5
83,553
17.3
119,692
20.8
173,539
21.4
196,337
25.7
189,312
26.1
65,631
26.9
24,925
22.3
17,883
29.7
22.823
29.6
24,238
22.4
20,856
23.6
17,577
22,9
14J97
42.1
10,676
43J
3,313
36.7
1,120
40.4
755
33.6
1.438
35.5
1,936
43.0
1,413
47.8
1,357
46.8
214
Table 28.— Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1992 — Continued
Population group
Crime
Index
total
Modified
Crime
Index
total*
Violent
crime'
Property
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
Ihcft
Arson'
Group V
1.519 cilics, 10.000 10 24,999;
population 2.1.964.000:
296.571
23.2
235.403
23.7
389.460
21.3
114.559
16.6
297.945
23.3
236,686
23.8
392.236
21.4
115.504
16.7
53,858
14.5
46,070
14.5
114,551
15.0
29.722
9.6
242,713
25.1
189,333
26.0
274,909
23.9
84.837
19.1
739
7.7
590
8.1
1.861
8.3
874
7.2
3,507
14.3
2.786
15.5
8,888
20.6
3.101
16.4
7,104
18.4
4.344
19.3
14.740
18.7
1,530
13.2
42.508
14.0
38,350
14.0
89.062
13.9
24.217
8.6
32,970
23.1
27,747
26.1
66.676
22.4
27,592
20.6
192,381
25.9
147,428
26.3
177,757
24.5
48,354
17.9
17,362
20.4
14,158
21.6
30,476
23.3
8,891
20.7
1.374
47.2
Group VI
S,:28 cities under 10.000;
population 21.020.000;
1.283
Percent under 18
48.2
Suburban Coum-iES
1.201 agencies;
population 47.624.000:
Total clearances
2.776
42.6
Rural Counties
2.316 agencies;
population 23.702.000;
945
Percent under 18
26.6
Suburban Area'
6.233 agencies;
population 96.037.000:
932.508
22.4
937,922
22.5
220,741
15.4
711.767
24.5
3,091
8.2
15,453
18.8
30,213
19.6
171.984
14.5
128.437
22.9
519,070
25.3
64,260
22.1
5,414
Percent under 18
45.5
'Includes ofTenses 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 ofTenses, including arson.
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, iarceny-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 state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of 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.
215
SECTION IV
Persons Arrested
Primarily a gauge of law enforcement's response to
crime, arrest counts also provide definitive data concern-
ing 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 resi-
dential burglary. While the practices for certain unlawful
conduct such as drunkenness, disorderly conduct, va-
grancy, 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 ofTenses.
Nationwide, law enforcement agencies effected an esti-
mated 14.1 million arrests in 1992 for all criminal infrac-
tions except traffic violations. The highest arrest counts
among the specific crime categories were for driving under
the influence, 1.6 million; larceny-theft, 1.5 million; and
simple assault and drug abuse violations, each 1.1 million.
(See Table 29.)
When the overall arrest volume was related to the total
United States population, the rate was 5,566 arrests per
100,000 inhabitants. Among the city population groupings,
those with more than 250,000 inhabitants recorded the
highest rate, 7,203, while those with populations from
10,000 to 24,999 recorded the lowest rate, 5,386. (See
Table 3 1 .) For suburban county agencies overall, the arrest
rate was 4,138, and for rural county law enforcement, it
was 4,063 per 100,000 inhabitants. Regionally, the arrest
rates per 100,000 population ranged from 5,004 in the
Midwest to 5,781 in the South. (See Table 30.)
Arrest Trends
The national total number of arrests for all offenses
except traffic violations showed virtually no change in
1 992 as compared to the 1 99 1 volume, while overall Crime
Index arrests fell 2 percent and property crime arrest totals
declined 3 percent. An increase of 2 percent was reported
for violent crime arrests. During the same time period,
adult arrests for all offenses declined 1 percent, for Crime
Index offenses declined 2 percent, and for property crimes
dropped 4 percent. A 2-percent increase was, however,
registered for violent crime arrests of adults. The juvenile
arrest volume, 1992 versus 1991, showed increases of 3
percent for total arrests, 1 percent for Index crimes, and 5
percent for violent crimes. Juvenile arrests for property
crime showed virtually no change for the 2-year period.
(See Table 36.)
Two-year arrest trends for rural county agencies showed
a 1 -percent increase, 1992 over 1991, while those for city
agencies showed no change and for suburban county
agencies, a 1 -percent decrease. (See Tables 44, 50, and 56.)
For the 5-year period, 1988 versus 1992, total arrests
were up 7 percent, adult arrests up 6 percent, and juvenile
arrests up 1 1 percent. (See Table 34.) Total Crime Index
arrests rose 7 percent; those of adults, 5 percent; and those
of juveniles, 12 percent. During the same years, 1988-1992,
total violent crime arrests increased 23 percent, and
property crime arrests were up 3 percent.
For the decade, 1983-1992, arrests for all offenses were
up 20 percent; Crime Index arrests, 22 percent; violent
crime arrests, 51 percent; and property crime arrests, 14
percent.
The 1992 drug abuse violation arrest total was up 7
percent from the 1991 level, less than 1 percent lower than
in 1988, and 57 percent higher than in 1983. The following
table shows the types of drugs involved in violations
resulting in arrests during 1992 by geographic region.
Table 4.1 — Arrests for Drug Abuse Violations, 1992
[Percent distribution]
Total'
Sale/manufacture:
Heroin or cocaine and their
derivatives
Marijuana
Synthetic or manufactured drugs . .
Other dangerous nonnarcotic drugs
Possession:
Heroin or cocaine and their
derivatives
Marijuana
Synthetic or manufactured drugs . .
Other dangerous nonnarcotic drugs
United
States
total
100.0
31.7
20.6
6.6
.7
3.9
68.3
32.4
25.5
1.2
9,2
North-
eastern
States
100.0
434
35.5
5.7
1.1
1.1
56.6
32.5
20.7
1.2
2.1
Mid-
western
States
100.0
30.2
11.4
7.8
.6
10.4
69.8
23.6
36.4
1.0
South-
em
States
100.0
17.9
6.9
.8
3.0
71.4
31.1
33.5
1.8
5.1
Western
Stales
100.0
26.9
15.7
6.4
.3
4.5
73.1
36.9
16.7
.6
18.9
' Because of rounding, percentages may not add to totals.
Age
Six percent of all persons arrested nationally in 1992
were under the age of 15; 16 percent were under 18; 29
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, 41 percent of those in the
suburban counties, and 38 percent of those in the rural
counties.
Age distribution figures for persons arrested for Crime
Index offenses showed 29 percent were under the age of 1 8;
43 percent, under 2 1 ; 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 1992.
216
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-one percent of the persons arrested in the Nation
during 1992 were males. (See Table 42.) They accounted
for 78 percent of Index crime arrests, 88 percent of those
for violent crimes, and 74 percent of the property crime
arrests. Men were most often arrested for driving under the
influence, which accounted for 12 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 76 percent of arrests of women for Index
crimes and 18 percent of all female arrests. Fifty-two
percent of all female larceny-theft arrestees were under 25
years of age.
Two-year trends showed virtually no change in the
number of male arrests from 1991 to 1992, while female
arrests were up 2 percent for the same period. (See Table
37.) Arrests of males were up 5 percent and those of
females up 14 percent for the 5-year period from 1988 to
1992.
Race
Race distribution figures for the total number of arrests
in the United States during 1992 showed 68 percent of the
arrestees were white, 30 percent were black, and the
remainder were of other races. (See Table 43.) Whites
accounted for 63 percent of the Index crime arrests, 54
percent of the arrests for violent crimes, and 66 percent of
those for property crimes.
Table 29.— Total Estimated Arrests', United States, 1992
TOTAL'
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
14,075,100
22.510
39.100
173,310
507,210
424,000
1,504,500
197,600
19,900
742,130
2,146,000
2,888,200
1,074,700
105,400
424,200
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
13,700
161,500
323,100
239,300
96,200
108,400
,066,400
17,100
109,200
,624,500
541,700
832,300
753,100
34,300
,389,500
18,400
91,100
181,300
'Arrest totals are based on all reporting agencies and estimates for unreported areas.
'Because of rounding, figures may not add to totals.
'Violent crimes are offenses of murder, forcible rapie, 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, 1992
(Rale: Number of arrests per 100,000 inhabilants)
OtTensc charged
United Slates Total
(10,962 agencies;
population 213,392,000)
Northeast
(2.330 agencies;
population 42,835,000)
Midwest
(2,442 agencies;
population 41,060,000)
South
(4,475 agencies;
population 77,989,000)
West
(1,685 agencies;
population 51,508,000)
TOTAL
11,877,802
5,566,2
2,345,534
5,475.7
2,054,560
5,003.8
4,508,915
5,781.5
2,968,793
Rate
5,763,7
Murder and nonnegligenl manslaughter
Rate
19,491
9.1
33,385
15.6
153.456
71.9
434.918
203.8
359.699
168.6
1.291.984
605.5
171.269
80.3
16.322
7.6
2,930
6.8
6,267
14.6
48,859
114.1
80,073
186.9
58,696
137.0
214,085
499.8
29,800
69.6
3,040
7.1
3,908
9.5
6,966
17.0
18,585
45.3
53,174
129.5
50,264
122.4
250,487
610.1
21.653
52.7
3.527
8.6
8,132
10.4
12,801
16.4
47,091
60.4
163,762
210.0
136,292
174.8
473,771
607.5
56,708
72.7
5,265
6.8
4,521
8.8
7,351
Rate
14.3
38.921
Rate
75 6
137.909
267.7
114 447
Rale
222.2
353.641
Rate
686 6
63.108
Rate
122 5
4 490
Rate
8.7
641.250
300.5
1,839,274
861.9
138,129
322.5
305,621
713.5
82.633
201.3
325.931
793.8
231,786
297.2
672,036
861.7
188.702
Rate
366.4
535.686
1 ,040 0
2.480,524
1,162.4
443.750
1,036.0
408,564
995.0
903,822
1,158.9
724,388
Rale
1 ,406 4
912,517
427.6
88,649
41.5
346,314
162.3
11,707
5.5
136,765
64.1
262,477
123.0
204,116
95.7
86,988
40.8
91,560
42,9
920,424
431.3
15,029
7.0
84,328
39,5
1,319,583
618.4
442,985
207.6
664,236
311.3
605,367
283,7
29,004
13.6
2,954,440
1.384,5
15.351
7,2
74,619
35.0
146,170
68.5
161,582
377.2
11,003
25.7
70,191
163,9
691
1.6
35.544
83.0
66.793
155,9
31.382
73.3
21,869
51.1
14,124
33.0
210,540
491.5
4,921
11.5
24,198
56.5
138,963
324.4
56,808
132.6
33,408
78.0
199,386
465.5
14,675
34.3
777,200
1,814.4
1,272
3.0
10,599
24.7
17,907
41.8
177,492
432.3
12,085
29.4
49,114
119.6
1,425
3.5
25,738
62.7
60,406
147.1
37,170
90.5
12,506
30.5
16,821
41.0
105,028
255.8
1,895
4.6
21,651
52.7
243,692
593.5
145.026
353.2
47,415
115.5
155,104
377.8
2,331
5.7
470,803
1,146.6
1,939
4.7
24,380
59.4
35,914
87.5
359,447
460.9
44,585
57.2
203,077
260.4
6,990
9.0
37,028
47.5
67,672
86.8
82,379
105.6
24,126
30.9
29,948
38.4
314,410
403.1
5,768
7.4
28,354
36.4
503,933
646.2
121,660
156.0
433,754
556.2
172,991
221.8
3,073
3.9
1,095,930
1,405.2
11,897
15.3
13,437
17.2
56,531
72.5
213,996
Rate . ...
415.5
20,976
40.7
23,932
Rate
46.5
2,601
Rale
5.0
38,455
74.7
67,606
131.3
Weapons; carrying, possessing, etc
53,185
103.3
Prostitution and commercialized vice
28,487
55.3
Sex offenses (except forcible rape and
30,667
595
290,446
563.9
2,445
Rate
4.7
Rate
10,125
19.7
Driving under the influence
432,995
840.6
119,491
232.0
149,659
Rate
290.6
77,886
151.2
Vagrancy
8,925
17.3
All other offenses (except traffic)
610,507
1,185.3
243
Rate
.5
26,203
Rate
50.9
35,818
Rate
69.5
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes arc offenses of burglary, larceny-thcH. motor vehicle theft, and arson,
includes arson. Population figures were rounded to the nearest thousand. All rates were calculated before roundmg.
218
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220
Table 32.— Total Arrest Trends, 1983-1992
(8.054 agencies: 1992 estimated population 185.616.000; 1983 estimated population 169.243.000]
OiTense charged
Number of persons arrested
Total all ages
1983
1992
Percent
change
Under 18 years of age
1983
1992
Percent
change
18 years of age and over
1983
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime^
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 ofTenses (except irafTic) ...
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
8,798,385
10,587.375
+20.3
1,481,071
1,738,180
+17.4
7,317,314
8,849.195
15.435
26.307
119,452
229,820
363.071
990,733
93.330
14.806
391,014
1,461,940
1,852,954
388,074
64,817
221,685
6,932
100,239
175,981
139,034
100,936
67,333
542,855
31,146
36,280
1,407,698
352,203
872,916
481,598
29,434
1,764,134
11,152
61,752
100,384
18,164
30,376
144,893
396,340
328,262
1.171,029
159,463
14,652
+ 17.7
+ 15.5
+21.3
+72.5
-9.6
+ 18.2
+70.9
-1.0
1,175
3,914
31,290
29,917
138,591
320,614
31,857
5,626
2.680
4,882
38,192
58,383
111.385
362,066
70,201
7,094
+ 128.1
+24.7
+22.1
+95.1
-19.6
+ 12.9
+ 120.4
+26.1
14,260
22,393
88,162
199,903
224,480
670,119
61,473
9,180
15,484
25,494
106,701
337,957
216,877
808,963
89,262
7,558
589,773
1,673,406
+50.8
+ 14.5
66,296
496,688
104,137
550,746
+57.1
+ 10.9
324,718
965.252
485,636
1,122,660
2,263,179
+22.1
562.984
654.883
+ 16.3
1,289,970
1,608,296
822,042
80,083
276,521
10,522
125,497
234,483
186,970
83,264
83,997
854,732
13,657
66,423
1,153,851
372,915
596,378
529,792
27,314
2,607,359
14,855
67,340
131,056
+ 111.8
+23.6
+24.7
+51.8
+25.2
+33.2
+34.5
-17.5
+24.7
+57.5
-56.2
+83.1
-18.0
+5.9
-31.7
+ 10.0
-7.2
+47.8
+33.2
+9.0
+30.6
63,435
5,796
19,837
433
24,029
78,396
19,576
2,262
10,740
64,517
789
1.120
21.465
93,281
25,582
72,191
2,342
250.160
2.555
61.752
100.384
130,459
6,296
11,711
586
33,479
105.359
42,485
1,045
15,122
69,299
985
3,493
10,251
81,743
13,537
97,175
3,178
258,698
4,850
67,340
131,056
+ 105.7
+8.6
-41.0
+35.3
+39.3
+34.4
+ 117.0
-53.8
+40.8
+7.4
+24.8
+211.9
-52.2
-12.4
-47.1
+34.6
+35.7
+3.4
+89.8
+9.0
+30.6
324,639
59.021
201,848
6,499
76,210
97,585
119,458
98,674
56,593
478,338
30,357
35,160
1,386,233
258,922
847.334
409,407
27,092
1,513,974
8,597
691,583
73,787
264,810
9,936
92,018
129,124
144,485
82,219
68,875
785,433
12,672
62,930
1,143.600
291,172
582.841
432,617
24,136
2,348,661
10,005
+20.9
+8.6
+ 13.8
+21.0
+69.1
-3.4
+20.7
+45.2
-17.7
+49.6
+ 16.3
+24.7
+ 113.0
+25.0
+31.2
+52.9
+20.7
+32.3
+21.0
-16.7
+21.7
+64.2
-58.3
+79.0
-17.5
+ 12.5
-31.2
+5.7
-10.9
+55.1
+ 16.4
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-thef\. motor vehicle theft, and arson,
'includes arson.
221
Table 33.— Total Arrest Trends, Sex, 1983-1992
[8,054 agencies, 1992 estimated population 185,616,000; 1983 estimated population 169,243,000)
Offense charged
Males
Total
1983
1992
Percent
change
Under 18
1983
1992
Percent
change
Females
Total
1983
1992
Percent
change
Under 18
1983
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
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 (not included in totals)
Curfew and loitering law violations . . .
Runaways
7,336,008
8,576,633
+16.9
1,162,826
1,339,049
+15.2
1,462,377
2,010,742
+37.5
318,245
399,131
1 3,402
26,062
110,604
198,745
337,659
693,319
84,957
12,968
348,813
1,128,903
1,477,716
330.487
43,052
134,195
4,640
89,005
159,072
128,306
28,025
62,244
466,368
27,647
32,299
1,248,418
294,623
796,539
400,315
26,543
1,496,843
9,506
47.566
42,105
16,420
30,017
132,562
337,811
297,651
794,123
142,316
12,691
+22.5
+ 15.2
+ 19.9
+70.0
-11.8
+ 14.5
+67.5
-2.1
1,046
3,867
29,222
25,046
128,997
234,131
28,387
5,087
2,531
4,792
34,947
48,856
101,390
254.669
61,579
6.356
+ 142.0
+23.9
+ 19.6
+95.1
-21.4
+8.8
+ 116.9
+24.9
2,033
245
8,848
31,075
25,412
297,414
8,373
1,838
1.744
359
12,331
58,529
30,611
376,906
17,147
1,961
-14.2
+46.5
+39.4
+88.3
+20.5
+26.7
+ 104.8
+6.7
129
47
2.068
4,871
9,594
86,483
3,470
539
149
90
3,245
9,527
9,995
107,397
8,622
738
516,810
1,246,781
+48.2
+ 10.4
59,181
396,602
91,126
423,994
+54.0
+6.9
42,201
333,037
72,963
426,625
+72.9
+28.1
7,115
100,086
13,011
126,752
1,763,591
+ 19.3
455,783
515,120
+ 13.0
375,238
499,588
+33.1
107,201
139,763
681.014
52,123
161,515
6,440
109,907
208,103
173,085
28,664
77,382
713,454
11,821
53,067
995,740
302,739
531,881
419,100
24,731
2,156,942
12.255
49.314
56.020
+ 106.1
+21.1
+20.4
+38.8
+23.5
+30.8
+34.9
+2.3
+24.3
+53.0
-57.2
+64.3
-20.2
+2.8
-33.2
+4.7
-6.8
+44.1
+28.9
+3.7
+33.0
49,474
3,856
15,543
311
21,791
71,788
18,350
686
10,065
53,965
745
710
18,724
69,469
21,563
58,811
1,991
199,530
2,025
47,566
42,105
98,475
4,084
8,614
324
29,903
96,425
39,452
501
14,094
61,723
913
2,260
8,834
58,662
11,298
75,890
2,699
204.444
3,740
49,314
56,020
+99.0
+5.9
-44.6
+4.2
+37.2
+34.3
+ 115.0
-27.0
+40.0
+ 14.4
+22.6
+218.3
-52.8
-15.6
-47.6
+29.0
+35.6
+2.5
+84.7
+3.7
+33.0
57,587
21,765
87,490
2,292
11,234
16,909
10,728
72,911
5,089
76,487
3,499
3,981
159,280
57,580
76,377
81,283
2,891
267,291
1,646
14,186
58,279
141,028
27,960
1 1 5,006
4,082
15,590
26,380
13,885
54,600
6,615
141,278
1,836
13,356
158,111
70,176
64,497
110,692
2,583
450,417
2,600
18,026
75,036
+ 144.9
+28.5
+31.5
+78.1
+38.8
+56.0
+29.4
-25.1
+30.0
+84.7
-47.5
+235.5
-.7
+21.9
-15.6
+36.2
-10.7
+68.5
+58.0
+27.1
+28.8
13,961
1,940
4,294
122
2,238
6,608
1,226
1,576
675
10.552
44
410
2,741
23,812
4,019
13,380
351
50,630
530
14,186
58,279
31,984
2,212
3,097
262
3,576
8,934
3,033
544
1,028
7,576
72
1,233
1,417
23,081
2,239
21,285
479
54,254
1,110
18,026
75,036
'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.
222
Table 34.— TotiU Arrest Trends, 1988-1992
[7.937 agencies: 1992 estimated population 171,002,000; 1988 estimated population 165,051,000]
Number of persons arrested
Oflense charged
Total all ages
Under 18 years of age
18 years of age anc
over
1988
1992
Percent
change
1988
1992
Percent
change
1988
1992
Percent
change
TOTAL
8,995.562
9,611.833
+6.9
1,454.894
1,621,7%
+11.5
7.540.668
7,990.037
+6.0
14,586
25,685
105.783
272,839
299,210
1.018.760
141,735
12,994
16.541
26.955
127,999
343.894
295.015
1,062,441
143,769
13,875
+ 13.4
+4.9
+21.0
+26.0
-1.4
+4.3
+ 1.4
+6.8
1,634
3,805
22,680
34,411
98,216
307.851
56,654
5,540
2,463
4,456
34,012
51,257
99.667
333,906
63,231
6,920
+50.7
+ 17.1
+50.0
+49.0
+ 1.5
+8.5
+ 11.6
+24.9
12,952
21,880
83,103
238.428
200,994
710,909
85,081
7,454
14,078
22,499
93,987
292,637
195,348
728,535
80,538
6,955
+8.7
+2.8
+ 13.1
+22.7
-2.8
+2.5
-5.3
-6.7
418,893
1,472,699
515,389
1,515,100
+23.0
+2.9
62,530
468,261
92,188
503,724
+47.4
+7.6
356,363
1,004,438
423,201
1,011,376
+ 18.8
+.7
1,891,592
2,030,489
+7.3
530,791
595,912
+ 12.3
1,360,801
1,434,577
+5.4
581.540
64,950
219,578
10.528
114,913
193,648
141,977
72.682
68,805
768,954
14,688
45,186
1,160,376
416,323
550,330
480,062
28,342
1,994,958
10,731
62,882
113,248
752,806
70,284
254,744
8,935
115,296
223,400
173,167
71,927
75,343
765,171
12,563
70,281
1,081,344
345,827
525.788
502,845
27,112
2,310,844
8,745
65,794
127,873
+29.5
+8.2
+ 16.0
-15.1
+.3
+ 15.4
+22.0
-1.0
+9.5
-.5
-14.5
+55.5
-6.8
-16.9
-4.5
+4.7
-4.3
+ 15.8
-18.5
+4.6
+ 12.9
82,679
5,469
11,538
822
28,878
79,765
24,019
1,263
11,233
69,812
574
2,118
15,541
105,226
16,050
75,511
2,337
215,138
2,098
62,882
113,248
123,253
5,750
11,312
508
30,669
102,015
39,872
922
14,380
62,929
873
3,232
9,805
79,521
11,939
93,929
3,220
238,088
1,368
65,794
127,873
+49.1
+5.1
-2.0
-38.2
+6.2
+27.9
+66.0
-27.0
+28.0
-9.9
+52.1
+52.6
-36.9
-24.4
-25.6
+24.4
+37.8
+ 10.7
-34.8
+4.6
+ 12.9
498,861
59,481
208.040
9.706
86,035
113,883
117,958
71,419
57,572
699,142
14,114
43,068
1,144,835
311,097
534,280
404.551
26.005
1,779,820
8,633
629,553
64,534
243,432
8,427
84,627
121,385
133,295
71,005
60,963
702,242
11,690
67,049
1,071,539
266,306
513,849
408,916
23,892
2,072,756
7,377
+26.2
+8.5
+ 17.0
-13.2
Stolen property; buying, receiving, possessing ...
-1.6
+6.6
+ 13.0
-.6
Sex offenses (except forcible rape and
+5.9
+.4
-17.2
+55.7
-6.4
-14.4
-3.8
+ 1.1
-8.1
+ 16.5
-14.5
'Violent cnmes arc ofTenscs of murder, forcible rape, robbery, and aggravated assault.
^Propcny crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
223
Table 35.— Total Arrest Trends, Sex, 1988-1992
[7.937 agencies; 1992 estimated population 171.002.000; 1988 estimated population 165.051.000]
Offense charged
Males
Total
1988
1992
Percent
change
Under 18
1988
1992
Percent
change
Females
Total
1988
1992
Percent
change
Under 18
1988
1992
Percent
change
TOTAL
Murder and nonnegligenl manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny — theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
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 trafTic)
Suspicion (not included in totals)
Curfew and loitering law violations . . .
Runaways
7,393,425
7,778,576
+5.2
1,132,407
1,245,637
+10.0
1,602,137
1,833,257
+14.4
322,487
376,159
12,806
25,397
96,749
236.440
273.266
705.149
127,637
11,272
14.932
26.598
117,030
293.893
266,506
719,660
127,982
12,034
+ 16.6
+4.7
+21.0
+24.3
-2.5
+2.1
+.3
+6.8
1,522
3,729
20,946
29,240
90,627
225.711
50,945
5,003
2,319
4,359
31,096
42,853
90,427
235,332
55,129
6,192
+52.4
+ 16.9
+48.5
+46.6
-.2
+4.3
+8.2
+23.8
1,780
288
9.034
36.399
25,944
313,611
14,098
1,722
1,609
357
10,969
50,001
28,509
342,781
15,787
1.841
-9.6
+24.0
+21.4
+37.4
+9.9
+9.3
+ 12.0
+6.9
112
76
1,734
5,171
7,589
82,140
5,709
537
144
97
2.916
8.404
9,240
98,574
8,102
728
371,392
1,117,324
452,453
1,126,182
+21.8
+.8
55,437
372,286
80,627
387,080
+45.4
+4.0
47.501
355,375
62.936
388,918
+32.5
+9.4
7,093
95,975
11.561
116.644
1.488,716
1.578,635
+6.0
427,723
467,707
+9.3
402,876
451,854
+ 12.2
103,068
128,205
492.420
42.882
121,801
6.508
101,384
172,777
131.214
23,622
63,596
648.656
12,324
37,832
1,022,609
339.914
499.248
387,515
25,070
1,678,123
9.061
47,051
50,163
622,153
45.078
148,492
5,230
100.864
198.255
160.376
24,401
69,434
638.646
10.783
57,374
933,166
278,798
469.005
397,660
24,732
1,911,762
7,375
48.276
55,456
+26.3
+5.1
+21.9
-19.6
-.5
+ 14.7
+22.2
+3.3
+9.2
-1.5
-12.5
+51.7
-8.7
-18.0
-6.1
+2.6
-1.3
+ 13.9
-18.6
+2.6
+ 10.6
63.665
3.676
8,671
483
26,124
72,780
22,424
438
10,433
61,003
540
1,363
13,449
76.816
13.515
60,272
1,971
169,847
1,698
47,051
50.163
92.888
3.700
8,337
284
27,400
93,259
37,067
437
13,344
55,946
808
2,115
8,420
56.886
9,958
73,192
2,719
187,438
1,154
48,276
55,456
+45.9
+.7
-3.9
-41.2
+4.9
+28.1
+65.3
+27.9
-8.3
+49.6
+55.2
-37.4
-25.9
-26.3
+21.4
+38.0
+ 10.4
-32.0
+2.6
+ 10.6
89,120
22.068
97.777
4,020
13,529
20,871
10,763
49,060
5.209
120,298
2,364
7,354
137.767
76,409
51,082
92,547
3,272
316,835
1.670
15,831
63.085
130.653
25,206
106,252
3.705
14.432
25,145
12.791
47,526
5,909
126,525
1.780
12,907
148,178
67,029
56,783
105.185
2.380
399.082
1.370
17,518
72.417
+46.6
+ 14.2
+8.7
-7.8
+6.7
+20.5
+ 18.8
-3.1
+ 13.4
+5.2
-24.7
+75.5
+7.6
-12.3
+ 11.2
+ 13.7
-27.3
+26.0
-18.0
+ 10.7
+ 14.8
19,014
1.793
2,867
339
2.754
6.985
1.595
825
800
8.809
34
755
2,092
28.410
2.535
15.239
366
45,291
400
15,831
63.085
30,365
2,050
2.975
224
3.269
8.756
2,805
485
1,036
6,983
65
1,117
1.385
22.635
1.981
20.737
501
50.650
214
17,518
72,417
-41.2
-20.3
-21.9
+36.1
+36.9
+ 11.8
-46.5
+ 10.7
+ 14.8
'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.
224
T«bk 36.— Total Arrest Trends. I99I-I992
(8.851 agencies; 1992 estimated population 177,639,000: 1991 estimated population 175,963,000)
Offense charged
Number of persons arrested
Total all ages
1991
1992
Percent
change
Under 1 5 years of age
1991
1992
Percent
change
Under 18 years of age
1991
1992
Percent
change
18 years of age and over
1991
1992
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny — theft
Motor vehicle theft
Arson
Violent crime'
Properly crime^
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 (not included in totals)
Curfew and loitering law violations
Runaways
10.012,530
10,006.561
571,801
598.770
+4.7
1,629,208
1,674.016
+2.8
8,383,322
8,332,545
17.864
28,338
133.436
346.755
310.864
.126.962
154.198
14,024
16.968
27.948
131.481
362.372
303.720
1.094,870
148.506
14.276
-5.0
-1.4
-1.5
+4.5
-2.3
-2.8
-3.7
+ 1.8
291
1.586
9.669
1 5,094
41,978
155,497
19.132
4.502
270
1.712
10,010
17,037
42.327
156,996
18,839
4,635
-7.2
+7.9
+3.5
+ 12.9
+.8
+ 1.0
-1.5
+3.0
2,513
4,436
34.455
49,765
104,051
342,220
67,422
6.574
2,521
4.506
34,924
53,772
103,409
343,861
64.981
7.083
+.3
+ 1.6
+ 1.4
+8.1
-.6
+.5
-3.6
+7.7
15.351
23,902
98,981
296,990
206,813
784.742
86.776
7,450
14.447
23.442
96,557
308,600
200,311
751,009
83,525
7,193
526,393
1,606,048
538,769
1,561,372
+2.4
-2.8
26.640
221.109
29,029
222,797
+9.0
+.8
91,169
520,267
95,723
519,334
+5.0
-.2
435,224
1,085,781
443,046
1,042,038
2,132,441
2.100.141
-1.5
247.749
251.826
+ 1.6
611,436
615,057
+.6
1,521,005
1,485,084
727.836
71.674
277,338
9,909
122,532
231,596
167,187
78.224
76,237
741,518
12,041
67,603
1,200.911
408,430
632,235
322,818
30,137
2,306.765
14.084
67,343
127,755
771,896
73,898
278,429
9,999
119,225
232,316
179.184
74.963
80.043
795,599
12,520
72,686
1,101,314
357,283
590,337
523,001
27,447
2.405.714
13.847
67.718
132.848
+6.1
+3.1
+.4
+.9
-2.7
+.3
+7.2
-4.2
+5.0
+7.3
+4.0
+7.5
-8.3
-12.5
-6.6
4
-8.9
+4.3
-1.7
+.6
+4.0
47,105
1,162
2,811
52
9,528
49,582
10,080
136
6,982
8,177
129
914
366
8,463
1,916
29,989
545
68.921
1.150
20,118
57,076
52,880
1,094
3,163
78
9,418
52,304
12.417
147
7,669
9,716
155
1,198
316
8,288
1,703
33,544
1,106
72,044
1,840
20,369
59,335
+ 12.3
-5.9
+ 12.5
+50.0
-1.2
+5.5
+23.2
+8.1
+9.8
+ 18.8
+20.2
+31.1
-13.7
-2.1
-11.1
+ 11.9
+ 102.9
+4.5
+60.0
+ 1.2
+4.0
114,707
6,372
10,510
549
33,271
99,758
35,580
1,020
13,582
57,312
790
2,713
12,347
94.019
15,736
91,871
2,078
230,459
2.959
67,343
127,755
125,138
6,163
11,550
563
31,801
104,723
41,325
939
14,959
65,512
911
3,441
10,053
82,822
13,568
97,557
3.258
244,110
4,797
67,718
132,848
+9.1
-3.3
+9.9
+2.6
-4.4
+5.0
+ 16.1
-7.9
+ 10.1
+ 14.3
+ 15.3
+26.8
-18.6
-11.9
-13.8
+6.2
+56.8
+5.9
+62.1
+.6
+4.0
613,129
65,302
266,828
9,360
89,261
131,838
131,607
77,204
62,655
684,206
11,251
64,890
1,188,564
314,411
616,499
430,947
28,059
2,076,306
11,125
646,758
67,735
266,879
9,436
87,424
127,593
137.859
74,024
65.084
730,087
11,609
69,245
1,091,261
274,461
576,769
425,444
24,189
2,161,604
9,050
-5.9
-1.9
-2.4
+3.9
-3.1
-4.3
-3.7
-3.4
+ 1.8
-4.0
-2.4
+5.5
+3.7
4
+.8
-2.1
-3.2
+4.8
-4.1
+3.9
+6.7
+3.2
+6.7
-8.2
-12.7
-6.4
-1.3
-13.8
+4.1
-18.7
'Violeni 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.
*Lcs5 than one-tenth of I percent.
225
Table 37.— Total Arrest Trends, Sex, 1991-1992
[8,851 agencies; 1992 estimated population 177,638.000; 1991 estimated population 175,962,000]
OfTense charged
Males
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
Females
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
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 ofTenses (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
8,139,198
8,102,944
1,258,683
1,286,997
+2.2
1,873,332
1,903,617
+1.6
370,525
387,019
16,022
27,984
122,033
300,079
282.876
765,565
138,703
12,193
15.319
27.567
120.146
310.253
274.563
741.619
132.295
12.383
-4.4
-1.5
-1.5
+3.4
-2.9
-3.1
-4.6
+ 1.6
2,397
4,354
31,432
42,273
95.178
243.692
59,742
5,984
2.375
4.407
31,935
45,077
93.925
242.428
56.731
6.327
-9
+ 1.2
+ 1.6
+6.6
-1.3
-.5
-5.0
+5.7
1.842
354
1 1 .403
46,676
27,988
361.397
15.495
1,831
1.649
381
11.335
52.119
29.157
353,251
16.211
1.893
-10.5
+7.6
-.6
+ 11.7
+4.2
-2.3
+4.6
+3.4
116
82
3,023
7,492
8,873
98,528
7,680
590
146
99
2,989
8,695
9,484
101,433
8,250
756
466,118
1,199,337
473,285
1,160,860
+ 1.5
-3.2
80,456
404,596
83,794
399,411
+4.1
-1.3
60,275
406,711
65,484
400,512
+8.6
-1.5
10.713
115.671
11.929
119,923
1,665,455
1,634,145
-1.9
485,052
483,205
466,986
465,996
126.384
131.852
607.134
46.517
157,826
6,022
107,960
206,516
155.399
26.660
70,959
618.594
10,443
55,634
1,041,980
329,464
566,654
417,962
26,894
1,916,893
11,752
49,305
54,927
638,585
47,494
160,529
6,010
104,257
206,257
165,876
25,411
73,890
663,620
10,758
59.386
951.312
287.801
526,596
414,368
25,064
1,994,531
11,362
49.566
57.488
+5.2
+2.1
+ 1.7
-.2
-3.4
-.1
+6.7
-4.7
+4.1
+7.3
+3.0
+6.7
-8.7
-12.6
-7.1
-.9
-6.8
+4.1
-3.3
+.5
+4.7
87.624
4.216
7.645
340
29.908
91.460
33.350
489
12.625
51.094
767
1,783
10,667
67,718
13,315
72,667
1,799
181.932
2.316
49,305
54.927
94.478
4.010
8.507
290
28.381
95.758
38.450
434
13.861
58.166
844
2,228
8,667
59,186
11,378
76,337
2.764
192,999
3.688
49.566
57.488
+7.8
-4.9
+ 11.3
-14.7
-5.1
+4.7
+ 15.3
-11.2
+9.8
+ 13.8
+ 10.0
+25.0
-18.7
-12.6
-14.5
+5.1
+53.6
+6.1
+ 59.2
+.5
+4.7
120.702
25,157
119,512
3,887
14,572
25.080
11.788
51.564
5.278
122.924
1.598
11.969
158.931
78.966
65.581
104.856
3.243
389.872
2.332
18.038
72.828
133,311
26,404
1 1 7.900
3.989
14.968
26.059
13.308
49.552
6.153
131.979
1.762
13,300
1 50,002
69,482
63.741
108,633
2.383
411.183
2.485
18.152
75.360
+ 10.4
+5.0
-1.3
+2.6
+2.7
+3.9
+ 12.9
-3.9
+ 16.6
+ 7.4
+ 10.3
+ 11.1
-5.6
-12.0
-2.8
+3.6
-26.5
+5.5
+6.6
+.6
+ 3.5
27,083
2.156
2,865
209
3.363
8.298
2,230
531
957
6.218
23
930
1,680
26,301
2,421
19,204
279
48,527
643
18,038
72,828
30,660
2,153
3,043
273
3,420
8,965
2,875
505
1,098
7,346
67
1,213
1,386
23,636
2,190
21.220
494
51,111
1,109
18,152
75.360
+4,5
+25.9
+20.7
-1.1
+ 16.1
+6.9
+2.9
+7.4
+28.1
+ 11.4
+3.7
+4.3
+ 13.2
-.1
+6.2
+30.6
+ 1.7
+8.0
+28.9
-4.9
+ 14.7
+ 18.1
+ 191.3
+30.4
-17.5
-10.1
-9.5
+ 10.5
+77.1
+5.3
+72.5
+.6
+3.5
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Properly crimes are ofTenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
226
Table 38.— Total Arrests, Distribution by Age. 1992
(10.962 agencies; 1992 estimated population 213.392.000]
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
17
19
20
TOTAL
Percent distribulioii'
Murder and nonnegligent
manslaughter
Forcible rape
Robber>
Aggravated assault
Burglar)
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total'
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing,
etc
Prostitution and commercialized
vice
Sex oft'enses (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
lt.893.IS3
100.0
19,491
33,385
153,456
434.918
359,699
1.291,984
171,269
16,322
641,250
100.0
1,839,274
100.0
2,480,524
100.0
912,517
88,649
346,314
11,707
136,765
262,477
204,116
86,988
91,560
920,424
15,029
84,328
1,319,583
442,985
664,236
605,367
29,004
2,954,440
15,351
74,619
146,170
689,877
5.8
1.943,138
16.3
9,950,015
83.7
41,007
.3
168,338
1.4
480,532
4.0
367,736
3.1
426.086
3.6
459.439
3.9
510,727
4.3
514.847
4.3
505,514
4.3
304
2,049
11,514
20,366
50.131
182,623
22,010
5,210
2,829
5,369
40,434
53,777
122,567
402,066
75,800
7,968
16,662
28,016
113,022
371,141
237,132
889,918
95,469
8,354
3
123
291
1,104
3,757
11,167
223
1,015
30
515
2,153
4,980
1 3,604
53,787
2,708
1,726
271
1,411
9,070
14,282
32,770
117,669
19,079
2,469
469
952
8,422
11,731
23,446
73,156
18,630
1,082
1,132
9,969
14,952
24,785
75,137
19,012
881
1,176
1,236
10,529
16,728
24,205
71,150
16,148
795
1,437
1,458
10,731
17,595
23,674
64,219
12,360
598
1,359
1,334
9,295
17,436
19,733
53,016
9,673
516
1,232
1,358
8,081
17,118
15,958
45,582
7,528
445
34,233
5.3
259,974
14.1
112,409
17.5
608,401
33.1
528,841
82.5
1,230.873
66.9
1,521
.2
16,162
.9
7,678
1.2
71,825
3.9
25,034
3.9
171,987
9.4
21,574
3.4
116,314
6.3
26,933
4.2
119,815
6.5
29,669
4.6
112,298
6.1
31,221
4.9
100,851
5.5
29,424
4.6
82,938
4.5
27,789
4.3
69,513
3.8
294,207
11.9
720,810
29.1
1,759,714
70.9
17,683
.7
79,503
3.2
197,021
7.9
137,888
5.6
146,748
5.9
141,967
5.7
132,072
5.3
112,362
4.5
97,302
3.9
60,280
1,218
4,234
100
10,668
58,742
13,893
165
8,496
10,800
199
1,361
365
9,541
1,898
37,483
1,150
85,541
1,877
22,529
65,130
143,797
7,024
15,027
671
36,325
118,027
46,256
1,095
16,632
73,981
1,088
3,940
11,956
97,443
15,114
109,684
3,436
295,075
4,968
74,619
146,170
768,720
81,625
331.287
11.036
100,440
144,450
157,860
85,893
74,928
846,443
13,941
80,388
1,307,627
345,542
649,122
495,683
25,568
2,659,365
10,383
3,662
45
103
5
282
6,878
484
770
168
9
172
127
173
97
2,126
25
5,808
100
480
1,796
16,312
245
670
33
2,022
18,322
2,795
19
2,338
1,079
22
261
37
844
202
9,034
207
18,903
372
3,643
11,475
40,306
928
3,461
62
8,364
33,542
10,614
132
5,388
9,553
168
928
201
8,524
1,599
26,323
918
60,830
1,405
18,406
51,859
26,016
1,093
3,887
45
7,399
19,829
8,925
138
2,888
12,806
176
787
541
14,246
2,340
20,790
835
50,699
1,193
17,392
37,823
28,200
1,811
2,766
151
8,533
20,742
10,943
265
2.651
21,017
300
897
2,939
27,948
3,724
24,343
699
69,611
1,375
19,704
30,719
29,301
2,902
4,140
375
9,725
18,714
12,495
527
2,597
29,358
413
895
8,111
45,708
7,152
27,068
752
89,224
523
14,994
12,498
29,894
4,041
7,894
456
10,272
14,035
13,589
1,492
2,522
40,377
473
2,150
21,257
66,386
15,203
29,832
1,028
117,191
563
30,846
4,575
11,130
563
8,851
11,057
12,293
2,306
2,518
43,770
511
2,286
29,549
65,689
17,306
28,541
920
129,224
550
32,292
4,831
13,879
601
7,470
9,697
10.937
2,670
2,453
43,459
452
2,492
38,252
55,755
18,948
28,117
784
134,613
510
505,258
4.2
1,215
1,417
7,663
18,196
14,409
43,114
6,593
409
28,491
4.4
64,525
3.5
93,016
3.7
36,764
4,428
15,564
633
6,618
9,491
11,014
3.643
2,676
45,428
469
3,040
56,035
17,668
25,459
31,735
758
140,293
526
See footnotes at end of table.
227
Table 38. — Total Arrests, Distribution by Age, 1992 — Continued
Offense charged
Age
22
23
24
25-29
30-34 35-39 40-44 45-49 50-54 55-59
60-64
65 and
over
TOTAL
Percent distiibutioa*
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-Iheft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Properly crime'
Percent distribution'
Crime Index total* .
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 tiaffic)
Suspicion
Curfew and loitering law
violations
Runaways
469,926
4.0
431,903
3.6
418,940
3.5
1,969,841
16.6
1,744,311
14.7
1,226,177
10.3
741,403
6.2
399,076
3.4
220,541
1.9
126,088
1.1
77,559
.7
1,027
1,354
6,702
17,649
12,414
37,916
5,575
357
26,732
4.2
56,262
3.1
82,994
3.3
35,775
4,330
15.398
569
5,606
8,186
9,542
4,178
2,607
43,484
383
3,013
55,567
12,672
23,648
28,222
719
132,564
469
889
1,150
5,969
16,452
10,933
34,363
4,890
343
741
1,176
5,791
16,131
10,231
34,519
4,496
287
2,938
5,581
24,817
76,160
47,723
161,355
17,728
1,456
2,008
5,084
17,587
66,606
38,477
148,497
12,523
1,331
1,411
3,467
9,476
46,518
23,782
109,063
7,356
998
900
2,054
4,116
27,238
11,416
66,563
3,655
663
621
1,075
1,551
14,998
4.752
35,135
1,631
413
339
609
666
8,202
1,916
20,000
761
230
204
359
272
4,597
839
12,456
333
139
129
226
125
2,796
382
9,275
177
81
24,460
3.8
50,529
2.7
23,839
3.7
49,533
2.7
109,496
17.1
228,262
12.4
91,285
14.2
200,828
10.9
60,872
9.5
141,199
7.7
34,308
5.4
82,297
4.5
18,245
2.8
41,931
2.3
9,816
1.5
22,907
1.2
5,432
13,767
.7
3,276
.5
9,915
.5
74,989
3.0
73,372
3.0
337,758
13.6
292,113
11.8
202,071
8.1
116,605
4.7
60,176
2.4
32,723
1.3
19,199
13,191
.5
34,163
3,657
14,923
499
4,710
7,086
8,091
4,130
2,483
40,135
366
3,078
53,845
9,292
22,529
24,524
679
122,239
485
34,366
3,827
15,181
556
4,431
6,582
7,172
4,362
2,517
38,530
316
3,216
52,573
7,890
22,162
22,969
709
117,774
435
167,795
17,475
71,575
2,138
18,519
28,188
28,381
22,952
13,257
186,836
1,642
16,943
262,997
30,607
113,049
97,277
3,994
546,312
2,146
147,811
14,704
61,009
1,905
14,245
22,012
21,056
19,359
13,353
161.991
1,675
17,011
248,712
26,040
120,819
80.376
5,022
473,107
1,991
98,494
9,700
45,174
1,225
9,439
13,339
14,142
11,073
10,202
105,931
1,638
12,720
182,857
19.275
98,623
53.975
4,353
330,596
1.350
56,592
5,381
28,454
854
5,325
7,135
9.064
4,962
6,959
55,446
1,454
7,351
122,204
13.112
67.591
31,210
2,853
198,163
688
29,523
2,476
15,030
541
2,438
3,504
5,293
2,268
4,665
23,063
1,305
3,538
76,286
8,359
40,921
16,926
1,602
100,817
345
15,422
1,081
7,527
232
1,250
1,788
3,018
1,085
2,861
9,701
1.010
1,692
45.528
5,242
25,930
9,515
1,054
53,709
173
8,224
520
3,754
131
619
953
1,778
614
2,324
4,380
858
842
27,713
3.390
16.534
5,129
553
28,493
80
4,982
292
2,176
70
334
575
1,145
362
1,497
2.161
612
474
17,529
2,030
10,262
3,336
343
16,153
35
87,904
.7
212
314
180
3,449
493
14,845
190
88
4,155
.6
15,616
19,771
5,777
307
2,619
63
313
822
1,345
437
2,034
1,751
777
542
16,723
2,135
10,138
3,999
197
18,117
37
'Because of rounding, the percentages may not add to total.
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
228
Table 39.— Male Arrests. Distribution by Age, 1992
[10.962 agencies; 1992 estimated population 213.392,000)
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
16
17
19
20
TOTAL
Percent distribution'
Murder and nonnegligent
manslaughter
Forcible rape
Robber>
Aggravated assault
Burglarv
Larceny-ihefl
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total* .
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 lav»s
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law
violations
Runaways
9.633.809
100.0
511,870
5.3
1,496.866
15.5
8,136.943
84.5
34,409
.4
131.482
1.4
345.979
3.6
274,083
2.8
333,904
3.5
377.009
3.9
429.852
4.5
431,909
4.5
423,062
4.4
17,592
32,965
140.374
370.379
326.570
876,736
152.753
14.139
561,310
100.0
1.370,198
100.0
1.931.508
100.0
755,933
57,849
200,366
7.147
119,688
232.852
188,797
30,180
84.540
769,080
12,942
69,115
1,137,542
357.669
592,324
480.677
26.170
2,448,952
12,678
54.622
63,178
269
1.988
10.197
16,433
44,718
129,761
18.381
4.658
2,670
5,258
36,987
53.280
111.663
283,662
66,418
7,121
14,922
27.707
103,387
317,099
214,907
593,074
86,335
7.018
3
117
279
1.000
3,346
8,917
192
943
28,887
5.1
197,518
14.4
98,195
17.5
468,864
34,2
463,115
82.5
901,334
65.8
226,405
11.7
567,059
29.4
1,364,449
70.6
44,352
814
2,998
69
9,329
53,459
12,499
84
7.785
9,035
184
795
283
5,377
1,302
28,024
931
64,072
1.390
15,419
27,264
108,649
4,575
11,068
372
32,426
107,933
42,960
531
15,429
65,820
1,012
2,555
10,278
69,546
12.626
85,598
2,916
233,874
3,839
54,622
63,178
647,284
53,274
189,298
6,775
87,262
124,919
145,837
29,649
69,111
703,260
11,930
66,560
1,127,264
288,123
579,698
395,079
23,254
2,215,078
8,839
1,399
.2
13,398
1.0
14,797
3,115
29
78
4
258
6,362
451
676
136
7
116
102
119
86
1,769
25
4,535
83
400
1,256
23
498
1,958
4,189
12,108
39,653
2,288
1,559
243
1,373
7,960
11,244
29,264
81,191
15,901
2,156
435
928
7,589
9,539
21,423
50,628
16,243
958
6.668
1.2
55.608
4.1
20,820
3.7
128,512
9.4
18,491
3.3
89,252
6.5
62,276
3.2
149,332
7.7
107,743
5.6
12,663
172
487
23
1,794
16,832
2,527
16
2,117
873
20
149
31
479
142
6,979
172
14,871
294
2,646
5,919
28,574
613
2,433
42
7,277
30,265
9,521
63
4,992
8,026
157
530
150
4,779
1,074
19,276
734
44,666
1,013
12,373
20,089
19,016
688
2,929
35
6,550
18,192
8,243
67
2,704
11,312
167
479
438
9,185
1,829
15,775
722
38,799
889
12,525
15,796
837
1,122
9,284
12,683
22,949
52,806
17,006
779
23,926
4.3
93,540
6.8
117,466
6.1
21,706
1,193
2,110
88
7,699
19,104
10,316
136
2,491
18,883
280
629
2,456
20,061
3,123
19,399
599
56,328
1,096
14,818
13,923
1,129
1.220
9,917
14,625
22,573
50,467
14,788
726
1,371
1,444
10,152
15,530
22,238
46,019
11,505
551
1,299
1,314
8,790
15,288
18,325
36,989
8,976
475
1,149
1,345
7,569
14,890
14,758
31,436
6,953
403
26,891
4.8
88,554
6.5
28,497
5.1
80,313
5.9
115,445
6.0
108,810
5.6
23,575
1,880
3,031
180
8,848
17,178
11,902
244
2,449
26,590
381
652
7,101
34,923
6,372
22,400
664
74,675
464
11,860
6,195
24,506
2,749
5,078
273
9,400
12,923
13,027
510
2,345
36,221
447
1,751
18,654
52,728
13,877
24,789
902
100,366
496
26,691
4.8
64,765
4.7
24,953
4.4
53,550
3.9
91,456
4.7
78,503
4.1
25,488
3,056
6,616
327
7,968
9,994
11,769
703
2,301
39,089
483
1,856
25,995
53,418
15,723
23,631
801
110,746
489
26,791
3,217
8,080
308
6,680
8,640
10,400
862
2,208
38,447
425
1,977
33,661
46,355
17,343
23,171
705
114,832
457
421,475
4.4
1,146
1,400
7,141
15,712
13,291
29,337
6,045
356
25,399
4.5
49,029
3.6
74,428
3.9
30,746
2,999
8,925
346
5,818
8,441
10,380
1,107
2,411
39,700
428
2,447
48,886
15,122
23,216
26,072
656
118,883
464
See roolnotes at end of table
229
Table 39. — Male Arrests, Distribution by Age, 1992 — Continued
OfTense charged
Age
22
23
24
25-29 30-34 35-39 40-44 45-49 50-54 55-59
60-64
65 and
over
TOTAL
Percent distribution'
Murder and nonnegligenl
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total' .
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
388,556
4.0
942
1,340
6,225
15.191
11,303
25,154
5,102
308
23,698
4.2
41,867
3.1
65,565
3.4
29,935
2,839
8,715
315
4,899
7,124
8,938
1,210
2,288
37,480
339
2,407
48,405
10,969
21,462
22,871
606
111,783
406
354,079
3.7
340,031
3.5
1,582,014
16.4
1,394,606
14.5
990,347
10.3
612.951
6.4
333,823
3.5
187,216
1.9
108,288
66..391
.7
807
1,138
5,527
14,038
9,898
22,465
4,335
293
685
1,166
5,257
13,738
9,193
22,174
4,011
257
2,595
5,510
22,371
64.147
42,776
104.705
15,749
1,191
1,697
5,019
15,657
55,764
34,405
98.290
10,998
1,068
1,188
3,423
8,410
39,281
21,169
73,951
6,543
804
744
2,041
3,734
23,588
10,179
45,691
3,305
537
534
1,070
1,404
13,035
4,201
22,997
1,483
326
282
607
625
7,188
1,670
12,585
695
198
174
358
249
4,088
740
7,525
310
110
117
226
114
2,532
329
5,385
162
64
21,510
3.8
36,991
2.7
20,846
3.7
35.635
2.6
94,623
16.9
164,421
12.0
78,137
13.9
144,761
10.6
52,302
9.3
102,467
7.5
30,107
5.4
59.712
4.4
16,043
2.9
29,007
2.1
8,702
1.6
15.148
1.1
4,869
.9
8,685
.6
2,989
.5
5.940
.4
58,501
3.0
56,481
2.9
259.044
13.4
222,898
11.5
154,769
8.0
89,
45,050
2.3
23,850
1.2
13,554
.7
8,929
.5
28,684
2,439
8,183
294
4,119
6,122
7,543
1.250
2,191
33,993
334
2,454
46,746
8,019
20,319
19,486
590
102,397
415
28,865
2,515
8,317
338
3,838
5,651
6,651
1,316
2,242
32,232
275
2,626
45,611
6,796
19,814
17,970
582
97,563
348
140,497
11,062
40,352
1,322
15,747
23,805
25,894
6,649
11,743
151,352
1,383
13,936
225,340
26,037
99,197
74,883
3,475
448,509
1,787
124,515
9,261
34,106
1,229
11,952
18,554
18,943
5,742
12,156
128,777
1,403
14,009
210,139
21,994
104,969
61,882
4,577
385,840
1,660
83,302
6,339
25,101
763
7,938
11,173
12,634
4,015
9,500
85,070
1,337
10,593
155,431
16,448
86,967
42,445
4,041
271,350
1,131
48,595
3,577
16,604
522
4,573
6,036
8,180
2,486
6.612
45,893
1,184
6,334
105,182
11,361
60,856
25,331
2.706
166,508
592
25,442
1,628
9,145
390
2,110
2,976
4,799
1,580
4,524
19,462
1,072
3,094
66,463
7,321
37,096
14,057
1,547
85,763
304
13,409
780
4.669
154
1,088
1,480
2,735
913
2,806
8,352
833
1,462
40,486
4,714
24,035
7,988
1,021
46,288
153
7,197
354
2,403
93
559
803
1,644
553
2,291
3,807
736
738
25,022
3,080
15,583
4,356
532
24,911
72
4,391
229
1.391
52
301
504
1,053
342
1,483
1,888
556
415
15,966
1,842
9,696
2,858
338
14,127
30
72,343
192
306
162
3,089
432
8,371
163
77
3,749
.7
9,043
.7
12,792
.7
4.921
230
1.613
49
272
693
1,247
411
2,010
1,497
695
461
15,277
1,919
9,545
3,289
175
15,212
35
'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.
230
Table 40.— Female Arrests. Distribution by Age, 1992
(10.962 agencies; 1992 eslimaled population 213,392.000]
OITcnse charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
17
19
20
TOTAL
Percent distribution'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distnbution'
Properly crime^
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing.
etc
Prostitution and commercialized
vice
Sex olTenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Oftenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other ofTenses (except traffic)
Suspicion
Curfew and loitering law
violations
Runaways
2,259,344
100.0
1,899
420
13,082
64,539
33,129
415,248
18,516
2,183
79.940
100.0
469.076
100.0
549.016
100.0
156,584
30,800
145,948
4,560
17,077
29,625
15,319
56,808
7,020
151,344
2.087
15.213
182.041
85.316
71,912
124,690
2,834
505,488
2,673
19.997
82.992
178,007
7,9
446.272
19.8
1,813,072
80.2
6,598
.3
36,856
134.553
6.0
93.653
4.1
92,182
4.1
82.430
3.6
80.875
3.6
82.938
3.7
82.452
3.6
35
61
1.317
3.933
5.413
52,862
3,629
552
159
111
3,447
10,497
10,904
118,404
9,382
847
1,740
309
9,635
54,042
22,225
296,844
9.134
1.336
6
12
104
411
2.250
31
72
7
17
195
791
1.496
14,134
420
167
28
38
1,110
3,038
3,506
36,478
3,178
313
34
24
833
2,192
2.023
22.528
2,387
124
43
10
685
2,269
1,836
22,331
2,006
102
47
16
612
2,103
1,632
20,683
1,360
69
66
14
579
2,065
1,436
18,200
855
47
60
20
505
2,148
1,408
16,027
697
41
83
13
512
2,228
1,200
14,146
575
42
5.346
6.7
62,456
13.3
14,214
17.8
139,537
29.7
65,726
82.2
329,539
70.3
122
.2
2,764
.6
1,010
1.3
16,217
3.5
4,214
5.3
43,475
9.3
3,083
3.9
27,062
5.8
3.007
3.8
26.275
5.6
2,778
3.5
23,744
5.1
2,724
3.4
20,538
4.4
2,733
3.4
18.173
3.9
2,836
3.5
15,963
3.4
67,802
12.3
153,751
28.0
395,265
72.0
2.886
.5
17.227
3.1
47,689
8.7
30.145
5.5
29,282
5.3
26,522
4.8
23,262
4.2
20,906
3.8
18,799
3.4
15,928
404
1,236
31
1,339
5.283
1,394
81
711
1.765
15
566
82
4,164
596
9,459
219
21,469
487
7,110
37.866
35,148
2,449
3.959
299
3.899
10.094
3.296
564
1.203
8,161
76
1,385
1,678
27,897
2,488
24.086
520
61,201
1,129
19,997
82.992
121,436
28,351
141,989
4.261
13,178
19,531
12,023
56,244
5,817
143,183
2,011
13,828
180,363
57,419
69.424
100.604
2.314
444,287
1,544
547
16
25
I
24
516
33
94
32
2
56
25
54
11
357
1,273
17
80
540
3,649
73
183
10
228
1,490
268
221
206
2
112
6
365
60
2,055
35
4,032
78
997
5,556
11,732
315
1,028
20
1,087
3,277
1,093
69
396
1.527
11
398
51
3.745
525
7,047
184
16,164
392
6,033
31,770
7,000
405
958
10
849
1,637
682
71
184
1,494
9
308
103
5,061
511
5,015
113
11,900
304
4.867
22.027
6,494
618
656
63
834
1,638
627
129
160
2,134
20
268
483
7,887
601
4,944
100
13,283
279
4,886
16,796
5,726
1,022
1.109
195
877
1,536
593
283
148
2,768
32
243
1,010
10,785
780
4,668
88
14,549
59
3,134
6.303
5,388
1,292
2,816
183
872
1,112
562
982
177
4,156
26
399
2,603
13,658
1,326
5,043
126
16,825
67
5,358
1,519
4,514
236
883
1,063
524
1,603
217
4,681
28
430
3,554
12,271
1,583
4,910
119
18,478
61
5,501
1,614
5,799
293
790
1,057
537
1,808
245
5,012
27
515
4,591
9,400
1,605
4,946
79
19,781
53
83.783
3.7
69
17
522
2,484
1,118
13,777
548
53
3,092
3.9
15,496
3.3
!,588
3.4
6.018
1,429
6,639
287
800
1,050
634
2,536
265
5,728
41
593
7,149
2,546
2,243
5,663
102
21,410
62
See footnotes at end of table.
231
Table 40. — Female Arrests, Distribution by Age, 1992 — Continued
OfTense charged
Age
22
23
24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
Percent distribution'
Murder and nonnegligenl
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property crime'
Percent distribution'
Crime Index total' .
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing.
etc
Prostitution and commercialized
vice
Sex oftenses (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 trafTic) .
Suspicion
Curfew and loitering law
violations
Runaways
8M70
3.6
85
14
477
2.458
I. Ill
12.762
473
49
3,034
3.8
14.395
3.1
17,429
3.2
5.840
1.491
6,683
254
707
1,062
604
2,968
319
6.004
44
606
7.162
1.703
2.186
5.351
113
20.781
63
77,824
3.4
78,909
3.5
387,827
17.2
349,705
15.5
235,830
10.4
128,452
5.7
65,253
2.9
33,325
1.5
17,800
.8
11,168
.5
82
12
442
2.414
1.035
11.898
555
50
56
10
534
2.393
1.038
12,345
485
30
343
71
2,446
12,013
4,947
56,650
1,979
265
311
65
1,930
10.842
4,072
50,207
1,525
263
223
44
1,066
7.237
2.613
35,112
813
194
156
13
382
3,650
1,237
20,872
350
126
87
5
147
1,963
551
12,138
148
87
57
2
41
1,014
246
7,415
66
32
30
I
23
509
99
4,931
23
29
12
2,950
3.7
13,538
2.9
2,993
3.7
13.898
3.0
14.873
18.6
63.841
13.6
13,148
16.4
56,067
12.0
8.570
10.7
38.732
8.3
4.201
5.3
22,585
4.8
2,202
2.8
12,924
2.8
1. 114
1.4
7.759
1.7
563
.7
5,082
1.1
16,488
3.0
16.891
3.1
78.714
14.3
69.215
12.6
47,302
8.6
26,786
4.9
15,126
8,873
1.6
5,645
1.0
5,479
1,218
6,740
205
591
964
548
2,880
292
6,142
32
624
7,099
1,273
2,210
5,038
89
19,842
70
5,501
1,312
6,864
218
593
931
521
3,046
275
6,298
41
590
6,962
1,094
2,348
4,999
127
20,211
87
27,298
6,413
31,223
816
2,772
4,383
2.487
16.303
1.514
35.484
259
3.007
37,657
4,570
13,852
22,394
519
97,803
359
23,296
5,443
26,903
676
2,293
3,458
2,113
13,617
1,197
33,214
272
3,002
38,573
4,046
15,850
18,494
445
87,267
331
15,192
3,361
20,073
462
1,501
2,166
1,508
7,058
702
20,861
301
2,127
27,426
2,827
11,656
11,530
312
59,246
219
7,997
1,804
11,850
332
752
1,099
884
2,476
347
9,553
270
1,017
17,022
1,751
6,735
5,879
147
31,655
96
4,081
848
5,885
151
328
528
494
688
141
3.601
233
444
9,823
1,038
3,825
2,869
55
15,054
41
2,013
301
2,858
78
162
308
283
172
55
1,349
177
230
5,042
528
1,895
1,527
33
7.421
20
1.027
166
1,351
38
60
150
134
33
573
122
104
2,691
310
951
773
21
3.582
II
264
53
3,890
15
17
287
.4
3,975
4,262
591
63
785
18
33
71
92
20
14
273
56
59
1,563
188
566
478
5
2,026
5
15,561
.7
20
8
18
360
61
6,474
27
11
406
.5
6,573
1.4
6.979
1.3
856
77
1,006
14
41
129
98
26
24
254
82
81
1,446
216
593
710
22
2,905
2
'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.
232
Tabic 41.— Total Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1992
(10.962 agencies; 1992 eslimaled populalion 213.392.0001
OfTense charged
Total
all ages
Number of persons arresled
Under 15 Under 18
Under 21
Under 25
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligeni manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime'
Crime Index total'
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
11,893,153
19,491
33.385
153.456
434.918
359.699
1.291,984
171.269
16.322
641,250
1.839.274
2,480.524
912.517
88,649
346,314
11.707
136,765
262,477
204,116
86,988
91,560
920,424
15,029
84,328
1,319,583
442,985
664,236
605,367
29,004
2,954,440
15,351
74,619
146,170
689,877
1,943,138
3,474,226
5,300,253
5.8
16.3
304
2.049
11,514
20.366
50.131
182,623
22,010
5.210
2,829
5,369
40,434
63,777
122,567
402,066
75.800
7,968
6,857
9,519
68,541
115,926
181.932
564.883
105.361
9,527
10,729
14,616
94,666
184,354
229,919
714,795
126,915
10,923
1.6
6.1
7.5
4.7
13.9
14.1
12.9
31.9
14.5
16.1
26.3
14.7
34.1
31.1
44.3
48.8
34,233
259,974
112,409
608,401
200,843
861,703
304,365
1,082,552
5.3
14.1
17.5
33.1
294,207
720,810
1,062,546
1,386,917
11.9
29.1
60,280
1,218
4,234
100
10,668
58,742
13,893
165
8,496
10.800
199
1,361
365
9,541
1,898
37,483
1,150
85,541
1,877
22,529
65,130
143,797
7,024
15,027
571
36,325
118,027
46,256
1,095
16,632
73,981
1,088
3,940
11,956
97,443
15,114
109,684
3,436
295,075
4,968
74,619
146,170
236,829
20,471
47,930
2,291
62,918
152,816
83,075
7,563
24,125
201,587
2,524
10.868
101,014
285.273
66,571
196,174
6.168
676,103
6,591
74,619
146,170
377,897
36,713
108,996
4,548
84,283
184,161
118,894
23,876
34,408
369,164
4,058
23,215
319,034
332,795
160,369
303,624
9,033
1,188,973
8,506
74,619
146,170
6.6
1.4
1.2
.9
7.8
22.4
6.8
.2
9.3
1.2
1.3
1.6
2.2
.3
6.2
4.0
2.9
12.2
30.2
44.6
15.8
7.9
4.3
5.7
26.6
45.0
22.7
1.3
18.2
8.0
7.2
4.7
.9
22.0
2.3
18.1
11.8
10.0
32.4
100.0
100.0
29.2
35.2
28.5
44.7
26.7
50.6
43.7
61.5
58.4
31.3
46.9
42.8
26.0
23.1
13.8
19.6
46.0
58.2
40.7
8.7
26.3
21.9
16.8
12.9
7.7
64.4
10.0
32.4
21.3
22.9
42.9
100.0
100.0
44.6
55.0
43.8
61.7
42.4
63.9
55.3
74.1
66.9
47.5
58.9
55.9
41.4
41.4
31.5
38.8
61.6
70.2
58.2
27.4
37.6
40.1
27.0
27.5
24.2
75.1
24.1
50.2
31.1
40.2
55.4
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are olTenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
*Less than one-tenth of I percent.
233
Table 42.— Total Arrests, Distribution by Sex, 1992
[10.962 agencies; 1992 estimated population 213,392,000)
OfTense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime*
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 inftuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
11,893,153
19,491
33,385
153,456
434,918
359,699
1,291,984
171,269
16,322
641,250
1,839,274
2,480,524
912,517
88,649
346,314
11,707
136,765
262,477
204,116
86,988
91,560
920,424
15,029
84,328
1,319,583
442,985
664,236
605,367
29,004
2,954,440
15,351
74,619
146,170
9,633,809
2,259 J44
81.0
19.0
100.0
17,592
32,965
140,374
370,379
326,570
876,736
152,753
14,139
1,899
420
13,082
64.539
33,129
415,248
18,516
2,183
90.3
98.7
91.5
85.2
90.8
67.9
89.2
86.6
9.7
1.3
8.5
14.8
9.2
32.1
10.8
13.4
.2
.3
1.3
3.7
3.0
10.9
1.4
.1
561,310
1,370,198
79,940
469,076
87.5
74.5
12.5
25.5
5.4
15.5
1,931,508
549,016
77.9
22.1
20.9
755,933
57,849
200,366
7,147
119,688
232,852
188,797
30,180
84,540
769,080
12,942
69,115
1,137,542
357,669
592,324
480,677
26,170
2,448,952
12,678
54,622
63,178
156,584
30,800
145,948
4,560
17,077
29,625
15,319
56,808
7.020
151,344
2,087
15,213
182,041
85,316
71,912
124,690
2,834
505,488
2,673
19,997
82,992
82.8
65.3
57.9
61.0
87.5
88.7
92.5
34.7
92.3
83.6
86.1
82.0
86.2
80.7
89.2
79.4
90.2
82.9
82.6
73.2
43.2
17.2
34.7
42.1
39.0
12.5
11.3
7.5
65.3
7.7
16.4
13.9
18.0
13.8
19.3
10.8
20.6
9.8
17.1
17.4
26.8
56.8
7.7
.7
2.9
.1
1.1
2.2
1.7
.7
.8
7.7
.1
.7
11. 1
3.7
5.6
5.1
.2
24.8
.1
.6
1.2
100.0
.2
.3
1.5
3.8
3.4
9.1
1.6
.1
5.8
14.2
20.0
7.8
.6
2.1
.1
1.2
2.4
2.0
.3
.9
8.0
.1
.7
11.8
3.7
6.1
5.0
.3
25.4
.1
.6
.7
100.0
.1
2
.6
2.9
1.5
18.4
.8
.1
3.5
20.8
24.3
6.9
1.4
6.5
.2
.8
1.3
.7
2.5
.3
6.7
.1
.7
8.1
3.8
3.2
5.5
.1
22.4
.1
.9
3.7
'Because of rounding, the percentages may not add to total.
^Less than one-tenth of I percent.
'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.
234
T«bk 43.— Total Arrests, Distribution by Race, 1992
(10.950 agencies: 1992 estimated population 213,130,000)
Total arrests |
Percent distribution'
OfTense 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
11,876,204
8,030.171
3,598,259
130,770
117,004
100.0
67.6
30.3
1.1
1.0
Murder and nonnegligent manslaughter ...
19,463
33,332
153,246
434,471
359,306
1,290,278
171,136
16,275
8,466
18,490
57.837
258.545
243,637
853,558
99,874
12,430
10.728
14.258
93.392
168.744
109.165
404.707
67.481
3.572
107
291
608
3.629
2.840
14.293
1,355
135
162
293
1,409
3,553
3,664
17,720
2,426
138
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
43.5
55.5
37.7
59.5
67.8
66.2
58.4
76.4
55.1
42.8
60.9
38.8
30.4
31.4
39.4
21.9
1
5
9
4
8
8
1
8
8
.8
.9
.9
.8
I.O
1.4
1.4
.8
640,512
1,836,995
343,338
1,209,499
287,122
584,925
4,635
18,623
5,417
23,948
100.0
100.0
53.6
65.8
44.8
31.8
.7
1.0
.8
1.3
Crime Index total'
2,477,507
1,552,837
872,047
23,258
29.365
100.0
62.7
35.2
.9
1.2
911,374
88,573
345,768
11,699
136,411
262,084
203.739
86.932
91,454
919.561
15,021
83,770
1,317,968
441,781
663,573
604,612
28,611
2,950,424
15,336
74,428
145,578
584,668
57,377
223.483
8.022
77,622
199,657
115,377
53.922
72.366
546,430
7,194
56,124
1,155,884
378,288
534,629
394,210
14,563
1,818,980
7,572
56,752
114,214
308,170
29,804
118,931
3,476
56,817
57.295
85,072
31,541
17.280
364,546
6,756
24,437
132.894
47.388
1 1 3,496
199,055
13,588
1,067,226
7,634
15,607
25,199
10,567
492
1.531
52
755
2.707
1.055
485
861
3.500
59
1.044
17.797
12.147
13,627
7,788
359
30,326
24
703
1,633
7,969
900
1,823
149
1.217
2,425
2,235
984
947
5,085
1,012
2,165
11,393
3,958
1,821
3,559
101
33,892
106
1,366
4,532
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
64.2
64.8
64.6
68.6
56.9
76.2
56.6
62.0
79.1
59.4
47.9
67.0
87.7
85.6
80.6
65.2
50.9
61.7
49.4
76.3
78.5
33.8
33.6
34.4
29.7
41.7
21.9
41.8
36.3
18.9
39.6
45.0
29.2
10.1
10.7
17.1
32.9
47.5
36.2
49.8
21.0
17.3
1.2
.6
.4
.4
.6
1.0
.5
.6
.9
.4
.4
1.2
1.4
2.7
2.1
1.3
1.3
1.0
.2
.9
1.1
.9
1.0
.5
1.3
.9
.9
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
1.1
1.1
1.0
.6
6.7
Offenses against family and children
2.6
.9
.9
.3
.6
.4
All other offenses (except trafTic)
1.1
.7
Curfew and loitering law violations
1.8
3.1
See footnotes at end of table.
235
Table 43.— Total Arrests, Distribution by Race, 1992— Continued
OfTense charged
Arrests under 18
Total
White
Black
American
Indian
or
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
White
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 crime'
Property crime'
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 ofTenses (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
1,939,456
2,829
5,364
40,354
63,683
122,439
401,375
75,706
7,946
112,230
607,466
719,696
143,368
7,018
15,019
669
36,265
117,855
46,221
1,095
16,599
73,886
1,088
3,917
11,942
97,203
15,093
109,610
3,435
294,508
4,963
74,428
145,578
1,357,661
529,534
19,590
32,671
100.0
70.0
27.3
1.162
2.801
15.267
35,865
92,044
291,308
44.148
6.593
1.625
2,462
24,296
26,713
27,229
97,319
29,467
1,206
11
53
173
457
1,200
4.916
756
59
31
48
618
648
1.966
7,832
1.335
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
41.1
52.2
37.8
56.3
75.2
72.6
58.3
83.0
57.4
45.9
60.2
41.9
22.2
24.2
38.9
15.2
55.095
434.093
55,096
155,221
694
6,931
1,345
11,221
100.0
100.0
49.1
71.5
49.1
25.6
489,188
210,317
7,625
12,566
100.0
68.0
29.2
89,603
5,496
8,023
464
21,377
96.589
28,462
756
12.107
38.571
265
2,967
10,973
89,121
13.269
72,902
2.286
201,159
3.117
56,752
114,214
50,189
1,357
6,650
194
14.166
18,996
16,855
320
4,153
34,404
810
816
644
5,120
1,492
35,132
1,115
84,229
1,769
15,607
25,199
1,385
72
74
4
253
1,006
276
115
301
7
25
254
2,366
253
794
12
2,424
703
1,633
2,191
93
272
7
469
1,264
628
11
224
610
6
109
71
596
79
782
22
6,696
77
1,366
4,532
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
62.5
78.3
53.4
69.4
58.9
82.0
61.6
69.0
72.9
52.2
24.4
75.7
91.9
91.7
87.9
66.5
66.6
68.3
62.8
76.3
78.5
35.0
19.3
44.3
29.0
39.1
16.1
36.5
29.2
1.0
.4
1.0
.4
.7
1.0
1.2
1.0
.7
.6
1.1
1.0
1.0
.5
.6
.7
.9
.6
25.0
46.6
74.4
20.8
5.4
2.1
5.3
2.4
9.9
1.7
32.1
32.5
28.6
.8
35 6
21.0
.9
17.3
1.1
1.7
1.1
.9
1.5
1.0
1.6
2.0
1.8
1.1
1.2
1.7
1.5
1.3
1.8
1.0
1.3
1.1
1.4
1.0
1.3
,8
.6
2.8
.6
.6
.5
.7
.6
2.3
1.6
1.8
3.1
See footnotes at end of (able.
236
T«ble 43.— ToUl Arrests. Distribution by Race, 1992 — Continued
OfTense charged
Arrests 18 and over
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^ .
Property crime'
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 olTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
OfTenses against family and children ..
Driving under the infiuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traflic) ..
Suspicion
Curfew and loitering law violations
Runaways
9,936,748
16,634
27,968
112,892
370,788
236,867
888,903
95,430
8,329
528,282
1,229,529
1,757,811
768,006
81,555
330,749
11,030
100,146
144,229
157,518
85,837
74,855
845,675
13,933
79,853
1,306,026
344,578
648,480
495,002
25,176
2,655,916
10,373
6,672.510
3,068,725
111,180
84,333
100,0
67.1
30.9
7.304
15,689
42,570
222,680
151,593
562,250
55,726
5,837
9,103
11,796
69,096
142,031
81,936
307,388
38,014
2,366
96
238
435
3,172
1,640
9,377
599
76
131
245
791
2,905
1,698
9,888
1,091
50
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
43.9
56.1
37.7
60.1
64,0
63.3
58.4
70.1
54.7
42.2
61.2
38.3
34.6
34.6
39.8
28.4
288,243
775,406
232,026
429,704
3,941
11,692
4,072
12,727
100.0
100.0
54.6
63.1
43.9
34.9
1,063,649
661,730
15.633
16,799
lOO.O
60.5
37.6
495,065
51,881
215,460
7,558
56,245
103,068
86,915
53,166
60,259
507,859
6,929
53,157
1,144,911
289,167
521,360
321,308
12,277
1,617,821
4,455
257,981
28,447
112,281
3,282
42,651
38,299
68,217
31,221
13,127
330,142
5,946
23,621
132,250
42,268
112,004
163,923
12,473
982,997
5,865
9,182
420
1,457
48
502
1,701
779
477
746
3,199
52
1,019
17,543
9,781
13,374
6,994
347
27,902
24
5,778
807
1,551
142
748
1,161
1,607
973
723
4,475
1,006
2,056
11,322
3,362
1,742
2,777
79
27,196
29
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
64.5
63.6
65.1
68.5
56.2
71.5
55.2
61.9
80.5
60.1
49.7
66.6
87.7
83.9
80.4
64.9
48.8
60.9
42.9
33.6
34.9
33.9
29.8
42.6
26.6
43.3
36.4
17.5
39.0
42.7
29.6
lO.I
12.3
17.3
33.1
49.5
37.0
56.5
1.1
.6
.9
.4
.9
.7
I.I
.6
.9
.7
1.0
1.2
.5
.4
.4
.5
1.2
.5
1.0
.4
.4
1.3
1.3
2.8
2.1
1.4
1.4
I.I
.2
.9
.7
.8
.7
1.1
1.1
.6
1.0
1.0
.8
1.0
.5
1.3
.7
.8
I.O
1.1
1.0
.5
7.2
2.6
.9
1.0
.3
.6
.3
1.0
.3
'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.
237
Table 44.— City Arrest Trends, 1991-1992
(6.148 agencies; 1992 eslimated population 124,210,000; 1991 population 122,788,000]
Number of persons arrested
Offense charged
Total all ages
1991
1992
Percent
change
Under 18 years of age
1991
1992
Percent
change
18 years of age and over
1991
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Properly crime^
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 (not included in total)
Curfew and loitering law violations
Runaways
7,802,999
14,320
21,818
120,620
275.556
236.265
967.661
125.156
10,092
432,314
1.339,174
1,771,488
574.718
53,778
174,095
7,260
99,241
185,436
137,442
75,027
56.385
595.677
10.397
36.955
746,891
322,211
519,005
461.516
28,366
1,781,320
13,207
64,432
101,359
7,806,901
13,496
21.464
118,792
288,281
229,486
938,349
120,751
10,407
442.033
1.298.993
1,741,026
613,604
55,291
173,865
7,175
96,563
186,407
147,233
72,473
58,220
630,326
11,137
40,641
690,024
283,033
488,774
461,610
25,927
1.853,909
13,335
64,245
105,418
1,374,282
1,406,940
+2.4
6,428,717
6,399,961
-5.8
-1.6
-1.5
+4.6
-2.9
-3.0
-3.5
+3.1
2,225
3,579
31,925
41,842
78,905
299.817
56,117
5,022
2,137
3,562
32.350
44,732
77.616
300.856
53.818
5.559
-4.0
-.5
+ 1.3
+6.9
-1.6
+.3
-4.1
+ 10.7
12.095
18.239
88.695
233,714
157.360
667,844
69,039
5,070
11,359
17,902
86,442
243,549
151.870
637,493
66,933
4,848
+2.2
-3.0
79.571
439.861
82.781
437,849
+4.0
-.5
352,743
899,313
359,252
861,144
-1.7
519,432
520,630
+ .2
1,252.056
1,220,396
+6.8
+2.8
-.1
-1.2
-2.7
+.5
+7.1
-3.4
+3.3
+5.8
+7.1
+ 10.0
-7.6
-12.2
-5.8
4
-8.6
+4.1
+ 1.0
-.3
+4.0
97,450
5.293
9,212
458
28,361
80,714
31,080
940
10,251
50,299
755
2,268
8,325
72,982
13,544
82,490
1,742
192,895
2,678
64,432
101,359
105,186
5,034
10,229
470
27,037
84,774
35,737
851
11,053
56.516
866
2,840
6,649
62,860
11,664
87,988
2,899
203,994
4,649
64,245
105.418
+7.9
-4.9
+ 11.0
+2.6
-4.7
+5.0
+ 15.0
-9.5
+7.8
+ 12.4
+ 14.7
+25.2
477,268
48,485
164,883
6,802
70,880
104,722
106,362
74,087
46,134
545,378
9,642
34.687
-20.1
738,566
-13.9
249.229
-13.9
505,461
+6.7
379,026
+66.4
26,624
+ 5.8
1.588.425
+73.6
10.529
-.3
+4.0
508,418
50.257
163.636
6,705
69,526
101,633
111,496
71.622
47.167
573.810
10.271
37.801
683,375
220,173
477,110
373,622
23,028
1,649,915
8,686
-6.1
-1.8
-2.5
+4.2
-3.5
-4.5
-3.1
-4.4
+ 1.8
-4.2
-2.5
+6.5
+3.7
-.8
-1.4
-1.9
-2.9
+4.8
-3.3
+2.2
+5.2
+6.5
+9.0
-7.5
-11.7
-5.6
-1.4
-13.5
+3.9
-17.5
'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.
*Less than one-tenth of 1 percent.
238
Ttblt 45.— City Arrest Trends, S«x, 1991-1992
(6.148 agencies: 1992 eslimaled population 124.210.000: 1991 estimated population 122.788,000)
OtTense charged
Males
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
Females
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
TOTAL ...
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
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 oftcnses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the inftuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ....
Suspicion (not included in totals)
Curfew and loitering law violations .
Runaways
6,315,690
6,296.798
-.3
1,059.244
1.078,458
+1.8
1,487,309
1,510,103
+1.5
315,038
328,482
12,897
21,568
110,133
237,252
214.132
651.190
112,587
8,742
12,240
21,198
108,493
245,454
206,363
629,284
107,651
9.004
-5.1
-1.7
-1.5
+3.5
-3.6
-3.4
-4.4
+3.0
2.125
3.524
29,065
35,454
71.933
211.494
49,835
4.568
2,021
3,484
29.564
37,371
70.106
209,684
47,140
4.966
-4.9
-1.1
+ 1.7
+5.4
-2.5
-.9
-5.4
+8.7
1,423
250
10,487
38,304
22,133
316,471
12,569
1.350
1,256
266
10,299
42,827
23,123
309,065
13,100
1,403
-11.7
+6.4
-1.8
+ 11.8
+4.5
-2.3
+4.2
+3.9
100
55
2,860
6,388
6,972
88,323
6,282
454
116
78
2,786
7,361
7.510
91.172
6,678
593
381,850
986,651
387.385
952,302
+ 1.4
-3.5
70,168
337,830
72,440
331,896
+3.2
-1.8
50,464
352,523
54,648
346,691
+8.3
-1.7
9,403
102,031
10,341
105,953
1,368,501
1,339,687
-2.1
407,998
404,336
402,987
401,339
-.4
111,434
116,294
479.493
35,017
105,058
4,333
87.328
165,089
127,679
25,332
51,889
497,293
9,117
27,989
643,358
260,512
465,174
367,867
25,358
1,479,341
11,052
47,226
42,736
507,312
35.656
106.863
4,185
84,202
165,326
136,168
24,484
53,041
526,168
9,590
30,669
591,862
228,788
435,832
364,802
23,782
1,536,528
10,918
47,136
44,717
+5.8
+ 1.8
+ 1.7
-3.4
-3.6
+.1
+6.6
-3.3
+2.2
+5.8
+5.2
+9.6
-8.0
-12.2
-6.3
-.8
-6.2
+3.9
-1.2
-.2
+4.6
74.114
3,462
6,825
277
25,508
73,842
29,090
441
9,491
45.067
733
1,437
7,173
52,986
11,483
65,327
1,508
152,520
2,113
47,226
42,736
79,007
3,285
7,656
234
24,143
77,446
33,224
389
10,248
50,449
801
1,786
5,722
45,283
9,795
68,901
2,461
161,439
3,561
47,136
44,717
+6.6
-5.1
+ 12.2
-15.5
-5.4
+4.9
+ 14.2
-11.8
+8.0
+ 11.9
+9.3
+24.3
-20.2
-14.5
-14.7
+5.5
+63.2
+5.8
+68.5
-.2
+4.6
95,225
18,761
69,037
2,927
11,913
20,347
9,763
49,695
4,496
98,384
1,280
8,966
103,533
61,699
53,831
93,649
3,008
301,979
2,155
17,206
58,623
106,292
19,635
67,002
2,990
12,361
21,081
11,065
47,989
5,179
104,158
1,547
9,972
98,162
54,245
52,942
96,808
2,145
317,381
2,417
17,109
60,701
+ 11.6
+4,7
-2.9
+2.2
+3.8
+3.6
+ 13.3
-3.4
+ 15.2
+5.9
+20.9
+ 11.2
-5.2
-12.1
-1.7
+3.4
-28.7
+5.1
+ 12.2
-.6
+3.5
23,336
1,831
2,387
181
2,853
6,872
1,990
499
760
5,232
22
831
1,152
19,996
2,061
17,163
234
40,375
565
17,206
58,623
26,179
1,749
2,573
236
2,894
7,328
2,513
462
805
6,067
65
1,054
927
17,577
1,869
19,087
438
42,555
1,088
17,109
60,701
+4.3
+ 16.0
+41.8
-2.6
+ 15.2
+7.7
+3.2
+6.3
+30.6
+ 10.0
+3.8
+4.4
+ 12.2
-4.5
+7.8
+30.4
+ 1.4
+6.6
+26.3
-7.4
+5.9
+ 16.0
+ 195.5
+26.8
-19.5
-12.1
-9.3
+ 11.2
+87.2
+5.4
+92.6
-.6
+3.5
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Properly crimes are offenses of burglary, larceny-theft, motor vehicle thef\, and arson.
'Includes arson.
239
Table 46.— City Arrests, Distribution by Age, 1992
[7,623 agencies; 1992 estimated population 146,002.000)
Offense charged
Total
all ages
Ages
under
15
Ages
under
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
17
18
19
20
TOTAL
Percent distribution'
Murder and nonegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-thefl
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Properly crime'
Percent distribution'
Crime Index total*
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
9,120,287
100.0
587,047
6.4
1.621.208
17.8
7,499,079
82.2
34,271
.4
144,473
1.6
408J03
4.5
308,255
3.4
352J05
3.9
373,601
4.1
400 J81
4.4
400,433
4.4
15,022
24,983
135,514
336,233
266,291
1,092,869
136,622
11,899
511,752
100.0
,507,681
100.0
2,019,433
100.0
717.680
65,041
205,020
8,343
110,122
210.121
165,967
83,325
65,815
718.785
13,132
47,176
805,147
350,869
554,851
531,979
27,345
2,219,002
13,863
70,691
116,580
260
1,630
10,675
16,657
38,335
161,347
18,295
4,157
2,350
4,168
36,744
51,815
90,155
347.345
61,790
5,287
12,672
20,815
98,770
284,418
176.135
745,523
74,832
5,512
3
92
272
896
2,800
10,054
190
811
21
398
2,008
4,056
10,355
48,030
2,294
1,391
235
1,140
8,395
11,705
25,159
103,253
15,812
1,955
397
752
7,730
9,541
1 7,445
63,149
15,200
854
724
849
8,977
12,214
17,599
63,809
15,357
580
969
937
9,362
13,403
16,575
59,041
12,927
595
1,181
1,065
9,287
13,821
15,605
52,323
9,611
423
1,126
1,015
8,120
13,833
13.185
43,413
7,580
336
29,222
5.7
222,135
14.7
95,077
18.6
505,578
33.5
415,575
81.4
1,002,103
55.5
1,253
.2
13,865
.9
6,483
1.3
62,081
4.1
21,475
4.2
146,189
9.7
18,420
3.6
96,649
6.4
22,764
4.4
97,555
6.5
24,671
4.8
89,239
5.9
25,354
5.0
77,963
5.2
24,094
4.7
64,514
4.3
251,357
12.4
600,655
29.7
1,418,778
70.3
15.128
.7
68.554
3.4
157,555
8.3
115,069
5.7
120,319
5.0
113,910
5.6
103,317
5.1
88,608
4.4
51,119
1,051
3,893
77
9,471
48,566
11,954
139
6,423
9,380
187
1,157
234
7,520
1,570
34,072
1,050
71,455
1,812
21,205
53,243
119,827
5,729
13,390
543
30,953
95,317
39,674
999
12,202
63,304
1,032
3,155
7,508
73,995
13,035
99,274
3,052
245,448
4,734
70,691
116,580
597,853
59,312
191,530
7,800
79,169
114,804
126,293
82,325
53,513
555,481
12,100
44,011
797,539
276,874
541,815
432,705
24,293
1,973,554
9,129
2,996
35
88
5
256
5,477
389
II
578
120
9
144
59
144
86
1,843
23
4,767
96
441
1,566
13,930
226
614
28
1,829
15,257
2,399
17
1,785
919
22
231
23
648
173
8,225
190
15,897
347
3,421
9,728
34,193
790
3,191
44
7,386
27,832
9,165
III
4,060
8,341
156
782
142
6,728
1,411
24,004
847
50,792
1,369
17,344
41,949
21,765
902
3,665
31
6,335
16,098
7,691
120
2,131
11,260
168
635
366
11,022
2,025
18,903
777
41,772
1,154
16,493
29.873
23,209
1,455
2,409
125
7,110
16,411
9,353
237
1,852
18,152
278
718
1,902
21,153
3,235
22,017
587
57,992
1,306
18,709
23,756
23,734
2,321
3,423
310
8,037
14,242
10,676
503
1,785
24,512
399
555
5,105
34,300
6,106
24,282
628
74,228
462
14,283
9,698
23,590
3,016
5,682
339
8,257
10,703
11,283
1,421
1,762
32,266
431
1,450
12,648
51,320
12,062
26,565
913
92,855
501
24,578
3,445
7,355
447
7,098
8,591
10,259
2,229
1,805
34.482
476
1,505
18,399
51,294
13,809
25,402
830
99,312
509
388,005
4J
988
1,018
6,971
13,391
10,897
37,355
5,914
291
22,358
4.4
54,457
3.6
76,825
3.8
25,718
3,682
8,680
456
5,860
7,688
9,066
2,571
1.803
33.719
416
1,576
23,673
43,973
15,192
25,102
694
100.861
450
See footnotes at end of table.
240
Table 46.— City Arrests, Distribution by Age. 1992— Continued
OfTcnse charged
Age
21
23
24
25-29 30-34 35-39 40-44 45-49 50-54 55-59
60-64
65 and
over
TOTAL
Pcmm dlsnibutioii'
Murder and nonnegligeni manslaughter
Forcible rape
Robber>'
Aggravated assault
Burglary
Larceny-Iheft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property crime'
Percent distribution'
Crime Index total' ..
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen propeny: buying, receiving,
possessing
Vandalism
Weapons: carrying, possessing, etc.
Prostitution and commercialized vice .
Sex ofTenses (except forcible rape and
prostitution)
Dnig abuse violations
Gambling
OfTenses against family and children .
Driving under the influence
Liquor laws
Dninkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . .
Suspicion
Curfew and loitering law violations
Runaways
385,491
4.2
998
1.081
6,656
14,241
10,141
35.603
5,168
274
22,976
4.5
51,186
3.4
74.162
3.7
29,444
3,282
9,402
491
5,192
7,565
9,176
3,515
1,981
35,130
428
1,870
35,386
14,088
20,866
28,371
688
103,991
463
357,193
3.9
325,900
3.6
315,044
3.5
1,481,603
16.2
,307,855
14.3
918,283
10.1
551,795
6.1
291,900
3.2
161,173
1.8
91,624
1.0
56,668
.6
801
1.026
5,799
13,901
8,975
31.311
4,382
232
688
875
5,218
13.001
8,019
28,422
3.841
230
598
942
5.012
12,659
7,657
28,837
3,597
187
2,239
4.284
21.851
58,765
36,638
135,405
13,960
953
1.488
3,838
15,512
50,763
30,370
125.707
9,898
919
1,017
2,520
8,328
34,949
19,066
92.803
5,838
683
592
1,444
3,635
20,318
9,168
56,434
2,833
462
383
753
1,329
11,061
3,715
29,588
1.188
276
234
375
575
5,975
1,465
16,814
556
153
135
234
226
3,293
639
10,542
226
87
79
134
98
1,970
262
7,946
116
53
21,527
4.2
44,900
3.0
19,782
3.9
40,512
2.7
19.211
3.8
40,278
2.7
87.139
17.0
186,956
12.4
71,601
14.0
166,894
11.1
46,814
9.1
118,390
7.9
25,989
5.1
68.897
4.6
13,526
2.6
34,767
2.3
7.159
1.4
18,988
1.3
3,888
.8
11,494
2,281
.4
8,377
.6
66,427
3.3
60,294
3.0
59,489
2.9
274,095
13.6
238,495
11.8
165,204
8.2
94,886
4.7
48,293
2.4
26,147
1,3
15,382
10,658
.5
28,739
3,102
9,174
445
4,362
6,507
7,850
4,035
2,012
33,518
350
1,800
34,466
10,186
19.392
25,236
660
98,522
410
27,282
2,616
8,801
369
3,689
5,754
6,569
3,972
1,912
30.878
317
1,830
33,055
7,595
18,430
21,719
615
89,776
427
27,234
2,767
8,801
426
3,455
5,387
5,838
4,216
1,883
29,506
290
1,835
32,224
6,352
18,100
20,378
648
85,826
389
132,182
12,715
41,548
1,532
14,588
22,650
22,686
22,097
10,008
144,290
1,478
9,137
161,389
24,954
93.652
85.129
3,794
401,800
1,879
114,584
10,553
34,810
1,272
11,328
17,806
16,377
18,543
9,683
124,889
1,463
9,003
151,855
21,525
100,949
69.401
4.826
348,746
1,747
75,583
7,058
25,385
865
7,534
10,725
10.976
10,574
7,274
82,385
1,424
6,692
110,298
16,306
83,646
46,276
4,218
244,668
1,192
42,595
3,870
15,739
571
4,184
5,664
6,927
4,725
4.803
43,298
1,241
3,690
73,800
11,261
57,131
26.624
2,775
147,408
603
21,531
1,697
7,885
291
1,813
2,692
3,900
2,128
3,141
17,591
1,087
1,754
46,000
7,143
34,758
14,262
1,551
74,102
281
11,235
763
4,078
143
897
1,352
2.237
1,008
1,984
7,423
825
830
26.994
4,499
22,106
7.939
1,032
39,531
150
5,856
349
1,892
79
443
729
1,295
570
1,321
3,228
702
453
16,566
2,910
14,140
4,225
544
20,867
73
3,586
191
1,022
38
242
403
851
323
965
1,610
506
262
10,471
1,728
8,831
2,770
331
11,853
27
65,731
.7
125
211
153
2,477
333
13,020
124
53
2,966
.6
13,530
.9
16,496
4,116
206
1,376
36
227
588
1,003
399
1,276
1,268
666
324
10,315
1,740
8.751
3,306
174
13,436
28
'Because of rounding, the percentages may not add to total,
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes 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, 1992
[7,623 agencies; 1992 estimated population 146,002,000]
ToUl 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
9,120,287
587,047
1,621,208
2,810,027
4,193,655
6.4
17.8
30.8
46.0
15.022
24.983
135,514
336,233
266,291
1,092,869
136,622
11,899
260
1,630
10,675
16,657
38,335
161,347
18,296
4,157
2,350
4,168
36,744
51,815
90,155
347,346
61,790
6,287
5,645
7,266
61,122
92,860
129,843
480,437
84,895
7,337
8.730
11,190
83,807
146,662
164,635
604,610
101,883
8,260
1.7
6.5
7.9
5.0
14.4
14.8
13.4
34.9
15.6
16.7
27.1
15.4
33.9
31.8
45.2
52.8
37.6
29.1
45.1
27.6
48.8
44.0
62.1
61.7
58.1
44.8
61.8
43.6
61.8
55.3
74.6
69.4
511.752
1,507.681
29,222
222,135
95,077
505,578
166,893
702,512
250,389
879,388
5.7
14.7
18.6
33.5
32.6
46.6
48.9
58.3
2.019.433
251,357
600.655
869,405
1,129,777
12.4
29.7
43.1
55.9
717.680
65,041
205,020
8,343
110,122
210,121
165,967
83,325
65,815
718,785
13,132
47,176
805,147
350,869
554,851
531,979
27,345
2,219,002
13,863
70,691
116,580
51,119
1,051
3,893
77
9,471
48,566
11,954
139
6,423
9,380
187
1,157
234
7,520
1,670
34,072
1,060
71,456
1,812
21,206
53,243
119.827
5.729
13.390
543
30,953
95,317
39,674
999
12,202
63,304
1,032
3,165
7,608
73,995
13,036
99,274
3,052
245,448
4,734
70,691
116,580
193,713
15,872
35,107
1,785
52,168
122,299
70,282
7.220
17.572
163,771
2,355
7,696
62,328
220,582
54,099
176,343
5,489
538.476
6.194
70.691
116.580
306,412
27,639
71.285
3.516
68,866
147,512
99,715
22,958
25,360
292,803
3,740
15,031
197,459
258,803
130,887
272,047
8.100
916.591
7.883
70,691
116,580
7.1
1.6
1.9
.9
8.6
23.1
7.2
.2
9.8
1.3
1.4
2.5
4
2.1
.3
6.4
3.9
3.2
13.1
30.0
45.7
16.7
8.8
6.5
6.5
28.1
45.4
23.9
1.2
18.5
8.8
7.9
6.7
.9
21.1
2.3
18.7
11.2
II. 1
34.1
100.0
100.0
27.0
24.4
17.1
21.4
47.4
58.2
42.3
8.7
26.7
22.8
17.9
16.3
7.7
62.9
9.8
33.1
20.1
24.3
44.7
100.0
100.0
42.7
42.5
34.8
42.1
62.5
70.2
60.1
27.6
38.5
40.7
28.5
31.9
24.5
73.8
23.6
51.1
29.6
41.3
56.9
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.
*Less than one-tenth of 1 percent.
242
T«ble 48.— Cit) Arrests, Distribution by S«x, 1992
(7.623 agencies: 1992 estimated population 146.002.000]
Offense charged
Number of persons arresled
Tolal
Male
Female
Percent
male
Perceni
female
Percent distribution'
Tolal
Male
Female
TOTAL
Murder and nonnegligcm manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-lhefl
Motor vehicle theft
Arson
Violent crime'
Property crime*
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 ofTenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
OfTenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafllc)
Suspicion
Curfew and loitering law violations
Runaways
9,120,287
15,022
24,983
135,514
336,233
266.291
1.092,869
136,622
11,899
511,752
1,507,681
2,019,433
717,680
65,041
205,020
8,343
110,122
210,121
165,967
83,325
65,815
718,785
13,132
47.176
805.147
350.869
554,851
531,979
27,345
2,219,002
13,863
70,691
116,580
7,359,212
1,761,075
80.7
19.3
100.0
13,621
24.688
123.867
284.859
240,482
733.620
121.889
10.283
1.401
295
11,647
51.374
25,809
359,249
14,733
1,616
90.7
98.8
91.4
84.7
90.3
67.1
89.2
86.4
9.3
1.2
8.6
15.3
9.7
32.9
10.8
13.6
.2
.3
1.5
3.7
2.9
12.0
1.5
.1
447.035
1,106,274
64,717
401,407
87.4
73.4
12.6
26.6
5.6
16.5
1,553,309
466,124
76.9
23.1
22.1
594.033
42.361
127,396
4,970
96,140
186,188
153,394
28,629
59,954
600,924
11,355
35,830
688,898
284.089
494.724
421.052
24,774
1.838.503
11.383
51.871
49.435
123.647
22,680
77,624
3,373
13.982
23.933
12,573
54,696
5,861
117,861
1,777
11,346
116,249
66,780
60.127
110.927
2,571
380,499
2.480
18.820
67,145
82.8
65.1
62.1
59.6
87.3
88.6
92.4
34.4
91.1
83.6
86.5
75.9
85.6
81.0
89.2
79.1
90.6
82.9
82.1
73.4
42.4
17.2
34.9
37.9
40.4
12.7
11.4
7.6
65.6
8.9
16.4
13.5
24.1
14.4
19.0
10.8
20.9
9.4
17,1
17.9
26.6
57.6
7.9
.7
2.2
.1
1.2
2.3
1.8
.9
.7
7.9
.5
8.8
3.8
6.1
5.8
.3
24.3
1.3
100.0
.2
.3
1.7
3.9
3.3
10.0
1.7
.1
6.1
15.0
21.
8.1
.6
1.7
.1
1.3
2.5
2.1
8.2
.2
.5
9.4
3.9
6.7
5.7
.3
25.0
.2
.7
.7
100.0
.1
2
.7
2.9
1.5
20.4
.8
.1
3.7
22.8
26.5
7.0
1.3
4.4
.2
.8
1.4
.7
3.1
.3
6.7
.1
.6
6.6
3.8
3.4
6.3
.1
21.6
.1
1.1
3.8
'Because of rounding, the percentages may not add to total.
'Less 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, 1992
(7,615 agencies; 1992 estimated population 145,842.000]
Total arrests
Percent distribut
on'
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
9,105,947
5,886,380
3,023,375
98,592
97,600
100,0
64.6
33.2
I.l
1.1
Murder and nonnegligent manslaughter . . .
14,999
24,950
135.319
335,834
265.964
1.091.343
136.503
11.858
5.475
12.283
49,301
186,847
169,365
708,972
75.550
8,667
9.331
12.257
84.239
143,574
91,905
353,919
57.842
2,994
54
155
506
2,382
1.705
12.954
957
86
139
255
1,273
3.031
2,989
15,498
2,154
111
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
36.5
49.2
36.4
55.6
63.7
65.0
55.3
73.1
62.2
49.1
62.3
42.8
34.6
32.4
42.4
25.2
•■»
.6
.4
.7
.6
1.2
.7
.7
.9
1.0
.9
.9
I.l
1.4
1.6
.9
511,102
1,505,668
253,906
962,554
249,401
506,660
3.097
15,702
4,698
20,752
100.0
100.0
49.7
63.9
48.8
33.7
.6
1.0
.9
1.4
Crime Index total*
2,016.770
1,216,460
756,061
18,799
25,450
100.0
60.3
37.5
.9
1.3
716,614
64,989
204,748
8,339
109,786
209.755
165.612
83.269
65,722
718,055
13,124
46,915
803,938
349,728
554,266
531,322
26,956
2,215.657
13.861
70.504
116.017
437,119
40,218
122,891
5,429
58,622
154,366
88,821
51,155
49,613
398.720
5.919
31.517
702,724
294,020
437,645
335.324
13,285
1,294.457
6.260
53.605
88.210
265,036
23.629
79.458
2.783
49.568
51,164
74,152
30,691
14.701
312.857
6.250
12.706
84,113
42,033
103.722
187.021
13.231
868,967
7,489
15,242
22,501
8,034
353
854
37
539
2,159
765
470
585
2,286
36
654
10,747
10,269
11,396
5,781
342
22,593
11
643
1,239
6.425
789
1.545
90
1.057
2.066
1,874
953
823
4,192
919
2,038
6,354
3,406
1,503
3,196
98
29.640
101
1,014
4.067
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
100.0
100.0
100.0
100.0
100.0
61.0
61.9
60.0
65.1
53.4
73.6
53.6
61.4
75.5
55.5
45.1
67.2
87.4
84.1
79.0
63.1
49.3
58.4
45.2
76.0
76.0
37.0
36.4
38.8
33.4
45.1
24.4
44.8
36.9
22.4
43.6
47.6
27.1
10.5
12.0
18.7
35.2
49.1
39.2
54.0
21.6
19.4
1.1
.5
.4
.4
.5
1.0
.5
.6
.9
.3
.3
1.4
1.3
2.9
2.1
1.1
1.3
1.0
.1
.9
1.1
.9
1.2
.8
Embezzlement
I.l
Stolen property; buying, receiving,
1.0
1.0
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and
l.I
1.1
1.3
.6
7.0
Offenses against family and children
4.3
.8
1.0
.3
.6
.4
All other offenses (except traffic)
1.3
.7
Curfew and loitering law violations
1.4
3.5
See footnotes at end of table.
244
Table 49.— Cit> Arrests, Distribution by Race, 1992— Continued
OfTense charged
Arrests under 18
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robber>
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^ .
Property crime'
Crime Index total*
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
Drxinkenness
Disorderly conduct
Vagrancy
All other offenses (except trafllc) ..
Suspicion
Curfew and loitering law violations
Runaways
1,617,737
2,350
4,167
36,667
51,730
90.055
346.684
61.701
6,265
94.914
504.705
599,619
119,397
5.723
13.383
541
30.893
95,153
39.641
999
12,173
63,211
1.032
3.158
7.599
73,772
13,019
99,209
3,051
244,909
4.734
70,504
116.017
1.101.418
472.268
15,751
28.300
100.0
68.1
29.2
878
1.910
13,658
27,859
64.891
248,989
34,268
5,105
1,439
2.185
22,293
23,002
22,850
86,360
25,730
1,051
31
146
328
729
4,481
541
41
25
41
570
541
1,585
6.854
1,162
68
100.0
100.0
100.0
100.0
100.0
100.0
1 00.0
lOO.O
37.4
45.8
37.2
53.9
72.1
71.8
55.5
81.5
61.2
52.4
60.8
44.5
25.4
24.9
41.7
16.8
44.305
353,253
48,919
135,991
513
5,792
1.177
9,669
100.0
100.0
46.7
70.0
51.5
26.9
397,558
184.910
6,305
10,846
100.0
66.3
30.S
72,479
4,384
6,719
370
17,435
76,241
23,878
683
8,339
31,290
250
2.312
6,939
66,901
11,351
64,731
1.958
162.861
2.924
53.605
88.210
43,948
1,197
6,361
161
12.846
17,033
14,999
298
3,565
31,244
774
723
454
4,488
1,396
33,119
1,061
74,213
1,735
15,242
22,501
1,092
63
57
3
201
790
226
63
222
2
17
163
1,894
208
655
10
1,891
643
1,239
1.878
79
246
7
411
1,089
538
II
206
455
6
106
43
489
64
704
22
5.944
75
1,014
4.067
100.0
100.0
100.0
100.0
100.0
100.0
lOO.O
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
lOO.O
60.7
76.6
50.2
68.4
56.4
80.1
60.2
68.4
68.5
49.5
24.2
73.2
91.3
90.7
87.2
65.2
64.2
66.5
61.8
76.0
76.0
36.8
20.9
47.5
29.8
41.6
17.9
37.8
29.8
1.0
.3
.7
.4
.6
.8
1.3
.9
.7
.5
1.1
I.l
.9
1.1
.4
.6
29.3
.5
49.4
.4
75.0
.2
22.9
.5
6.0
2.1
6.1
2.6
10.7
1.6
33.4
.7
34.8
.3
30.3
.8
36.6
21.6
.9
19.4
l.I
1.7
I.l
I.O
1.6
1.0
1.8
2.0
1.9
1.1
1.2
1.9
1.6
1.4
1.8
1.3
1.3
1.1
1.4
l.I
1.7
.7
.6
3.4
.6
.7
.5
.7
.7
2.4
1.6
1.4
3.5
See footnotes at end of table.
245
Table 49.— City Arrests, Distribution by Race, 1992— Continued
'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 thef^. and arson.
'Includes arson.
Arrests 18 and over |
Percent distribution'
Offense charged
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Total
While
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
7,488.210
4,784.962
2,551,107
82,841
69,300
100.0
63.9
34.1
1.1
.9
Murder and nonnegligent manslaughter ...
12,649
20,783
98,652
284.104
175,909
744,659
74,802
5,593
4,597
10,373
35,643
158,988
104,474
459.983
41,282
3,562
7,892
10,072
61,946
120,572
69,055
267,559
32,112
1,943
46
124
360
2,054
976
8,473
416
45
114
214
703
2,490
1,404
8,644
992
43
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
36.3
49.9
36.1
56.0
59.4
61.8
55.2
63.7
62.4
48.5
62.8
42.4
39.3
35.9
42.9
34.7
.4
.6
.4
.7
.6
1.1
.6
.8
.9
1.0
.7
.9
.8
1.2
1.3
.8
416,188
1,000,963
209,601
609,301
200,482
370,669
2,584
9,910
3,521
11.083
100.0
100.0
50.4
60.9
48.2
37.0
.6
1.0
.8
1.1
1,417.151
818,902
571,151
12,494
14.604
100.0
57.8
40.3
.9
1.0
597,217
59,266
191,365
7,798
78.893
114,602
125,971
82,270
53,549
654,844
12,092
43,757
796.339
275,956
541,247
432,113
23,905
1,970,748
9,127
364,640
35,834
116,172
5,059
41,187
78,125
64,943
50,472
41,274
367,430
5,669
29,205
695,785
227,119
426,294
270,593
11,327
1,131,596
3,336
221,088
22,432
73,097
2,622
36,722
34,131
59,153
30,393
11,136
281,613
5,476
11,983
83.659
37,545
102,326
153,902
12,170
794,754
5,754
6,942
290
797
34
338
1,369
539
463
522
2,064
34
637
10,584
8,375
11,188
5,126
332
20,702
11
4,547
710
1,299
83
646
977
1,336
942
617
3,737
913
1,932
6,311
2.917
1,439
2,492
76
23,696
26
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
61.1
60.5
60.7
64.9
52.2
68.2
51.6
61.3
77.1
56.1
46.9
66.7
87.4
82.3
78.8
62.6
47.4
57.4
36.6
37.0
37.8
38.2
33.6
46.5
29.8
47.0
36.9
20.8
43.0
45.3
27.4
10.5
13.6
18.9
35.6
50.9
40.3
63.0
1.2
.5
.4
.4
.4
1.2
.4
.6
1.0
.3
.3
1.5
1.3
3.0
2.1
1.2
1.4
1.1
.1
.8
1.2
.7
1.1
Stolen property; buying, receiving.
.8
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and
1.1
1.1
1.2
.6
7.6
Offenses against family and children
4.4
.8
1.1
.3
.6
.3
1.2
Suspicion
.3
Curfew and loitering law violations
246
Table SO.— Suburban County Arrest Trends, 1991-1992
[738 agencies; 1992 estimaled population 34,821.000; 1991 estimated population 34.734.000]
Number of persons arrested
Offense charged
Total alt ages
1991
1992
Percent
change
Under 18 years of age
1991
1992
Percent
change
18 years of age and over
1991
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglar>'
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime'
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
Drivmg 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
1,466,776
2,294
4.290
11.029
48.424
47.066
118.489
21.772
2.652
66.037
189.979
256.016
100.585
11,285
54,061
1.789
17.141
29.465
21.755
2,979
12,895
103,996
1,068
22,482
300,833
50,155
62,092
35,373
1,464
360,696
501
1,876
18,770
1,449,491
-1.2
183,794
192,217
+4.6
,282,982
1,257,274
2,244
4,104
10,643
49,674
46,975
115.925
20.527
2.543
-2.2
-4.3
-3.5
+2.6
-.2
-2.2
-5.7
-4.1
217
619
2.339
6.212
16.305
33,044
8.587
1.224
290
651
2.329
7.098
16,782
33,401
8,280
1,159
+33.6
+5.2
-.4
+ 14.3
+2.9
+ 1.1
-3.6
-5.3
2.077
3.671
8,690
42,212
30.761
85.445
13.185
1.428
66,665
185,970
+ 1.0
-2.1
9.387
59.160
10.368
59,622
+ 10.5
+.8
56,650
130,819
252,635
-1.3
68,547
69,990
+2.
187.469
103,033
11,772
55,515
1,790
16,646
29,322
23,852
2,337
13,507
113,964
978
23,304
266,217
40,826
55,589
35,355
1,293
379,557
330
2,294
19,705
+2.4
+4.3
+2.7
+.1
-2.9
-.5
+9.6
-21.6
+4.7
+9.6
-8.4
+3.7
-11.5
-18.6
-10.5
-.1
-11.7
+5.2
-34.1
+22.3
+5.0
13.104
724
712
77
3,926
13,238
3,803
73
2,265
5,398
30
276
2,373
12,077
1,260
6,986
273
28,006
131
1,876
18,770
15,425
726
798
65
3,794
13,816
4,696
74
2,609
6,908
28
375
1,873
11,205
1,122
6,910
292
29,512
100
2,294
19,705
+ 17.7
+.3
+ 12.1
-15.6
-3.4
+4.4
+23.5
+ 1.4
+ 15.2
+28.0
-6.7
+35.9
-21.1
-7.2
-11.0
-1.1
+7.0
+5.4
-23.7
+22.3
+5.0
87,481
10,561
53,349
1,712
13,215
16,227
17,952
2.906
10,630
98.598
1.038
22,206
298,460
38,078
60,832
28.387
1.191
332.690
370
1.954
3.453
8.314
42,576
30,193
82,524
12,247
1,384
56,297
126.348
182.645
87,608
11.046
54,717
1,725
12,852
15,506
19,156
2,263
10.898
107,056
950
22.929
264,344
29,621
54,467
28.445
1.001
350,045
230
-2.0
-5.9
-5.9
-4.3
+.9
-1.8
-3.4
-7.1
-3.1
-.6
-3.4
-2.6
+.1
+4.6
+2.6
+.8
-2.7
-4.4
+6.7
-22.1
+2.5
+8.6
-8.5
+3.3
-11.4
-22.2
-10.5
+.2
-16.0
+5.2
-37.8
'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.
247
Table 51.— Suburban County Arrest Trends, Sex, 1991-1992
[878 agencies; 1992 estimated population 34.821.000; 1991 estimated population 34.734,000)
Offense charged
Males
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
Females
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessmg
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gamblmg
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
1,208,810
1,188,754
-1.7
143,544
149,933
+4.5
257,966
260,737
40,250
42,284
2.040
4,231
10,254
42,648
43,227
82.679
19,641
2,336
59,173
147,883
207.056
83,562
7.307
27.286
1.125
15.200
26.521
20.259
1.217
12.368
85.988
875
20.551
263,456
40,358
55.610
28.761
1.276
300.018
422
1.385
8.631
2.010
4,046
9.793
43,408
42.981
81,022
18,280
2,241
-1.5
-4.4
-4.5
+ 1.8
-.6
-2.0
-6.9
-4.1
207
603
2.193
5.314
1 5.049
24.588
7.570
1.117
269
635
2.141
6,037
15.478
24.953
7.174
1,039
+ 30.0
+5.3
-2.4
+ 13.6
+2.9
+ 1.5
-5.2
-7.0
254
59
775
5.776
3.839
35.810
2.131
316
234
58
850
6.266
3.994
34.903
2.247
302
-7.9
-1.7
+9.7
+8.5
+4.0
-2.5
+5.4
-4.4
10
16
146
898
1.256
8.456
1.017
107
21
16
188
1.061
1.304
8.448
1.106
120
59.257
144.524
+.1
-2.3
8.317
48.324
9.082
48.644
+9.2
+.7
6.864
42.096
7.408
41,446
+7.9
-1.5
1,070
10,836
1.286
10.978
203.781
-1.6
56.641
57.726
+ 1.9
48,960
48.854
11.906
12.264
85.107
7.368
28.425
1.128
14.764
26.249
22.104
855
12.888
94.130
833
21.147
232.683
32.410
49.661
28.413
1.086
314.997
296
1.666
9.059
+ 1.8
+.8
+4.2
+.3
-2.9
-1.0
+9.1
-29.7
+4.2
+9.5
-4.8
+2.9
-11.7
-19.7
-10.7
-1.2
-14.9
+5.0
-29.9
+20.3
+5.0
10,228
523
445
54
3.526
12.273
3.588
44
2.132
4.664
30
213
2.045
8.547
1.045
5.464
240
21.826
111
1,385
8,631
11.939
465
518
46
3.399
12.736
4,383
41
2,442
5,957
28
271
1,628
7,844
922
5,385
246
23.232
92
1.666
9,059
+ 16.7
-111
+ 16.4
-14.8
-3.6
+3.8
+22.2
-6.8
+ 14.5
+27.7
-6.7
+27.2
-20.4
-8.2
-11.8
-1.4
+2.5
+6.4
-17.1
+20.3
+5.0
17,023
3,978
26,775
664
1,941
2.944
1.496
1.762
527
18.008
193
1.931
37.377
9.797
6.482
6.612
188
60.678
79
491
10.139
17,926
4,404
27,090
662
1,882
3,073
1,748
1,482
619
19,834
145
2,157
33,534
8,416
5.928
6,942
207
64,560
34
628
10,646
+5.3
+ 10.7
+ 1.2
-.3
-3.0
+4.4
+ 16.8
-15.9
+ 17.5
+ 10.1
-24.9
+ 11.7
-10.3
-14.1
-8.5
+5.0
+ 10.1
+6.4
-57.0
+27.9
+5.0
2,876
201
267
23
400
965
215
29
133
734
3,486
261
280
19
395
1.080
313
33
167
951
63
328
3.530
215
1.522
33
6,180
20
491
10,139
104
245
3,361
200
1,525
46
6,280
8
628
10.646
+5.1
+ 110.0
+28.8
+ 18.2
+3.8
-.1
+8.8
+ 12.1
+20.2
+ 1.3
+3.0
+21.2
+29.9
+4.9
-17.4
-1.3
+ 11.9
+45.6
+ 13.8
+25.6
+29.6
+65.1
-25.3
-4.8
-7.0
+.2
+39.4
+ 1.6
-60.0
+27.9
+5.0
'Less than one-tenth of I 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.
248
Table 52. — Suburban County Arrests, Distribution by Age, 1992
[1.108 agencies: 1992 eslimated population 44,292.000)
OfTense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
20
TOTAL
Pcrceal distritwtiMi
Murder and nonnegligcnt manslaughter
Forcible rape
Robber>
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index lotaH .
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen properly: buying, receiving,
possessing
Vandalism
Weapons: carrying, possessing, etc.
Prostitution and commercialized vice .
Sex ofTenses (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 ofTenses (except traffic) . .
Suspicion
Curfew and loitering law violations
Runaways
1,834,236
100.0
2.959
5,422
15,238
67,869
61,726
150,623
26,452
2,929
91.488
100.0
241,730
100.0
333,218
100.0
130,357
15,562
83,387
2,237
19,615
33,680
27,908
3.474
16,275
141.331
1.401
26,983
299,842
49,121
58.913
42,112
1,305
523,010
1.256
2.472
20.777
77,475
4.2
233,582
12.7
1.600.654
87.3
4,825
J
17,852
1.0
54,798
3.0
44,489
2.4
52.669
2.9
58,949
3.2
71,805
3.9
73.886
4.0
32
307
796
3,050
8,253
17,112
2,777
821
373
854
3,330
9,461
22,116
43,385
10,801
1,282
2.586
4,568
11,908
58,408
39,610
107,238
15,651
1.647
20
18
172
623
808
22
161
6
83
136
753
2.211
4,570
280
260
26
204
642
2.125
5.419
11,734
2.475
400
59
144
657
1.783
4,258
8,083
2.726
172
119
194
891
2,111
4,724
8,940
2,815
150
163
209
986
2,517
4,881
9,250
2,483
139
184
245
1,252
2,640
4,972
8,526
2.111
102
169
209
994
2,445
4,007
6,834
1,580
104
4.185
4.6
28.963
12.0
14.018
15.3
77.584
32.1
77,470
84.7
164,146
67.9
210
.2
1,614
.7
978
1.1
7.321
3.0
2,997
3.3
20,028
8.3
2,643
2.9
15.239
6.3
3.315
3.6
16.629
6.9
3.875
4.2
16.753
6.9
4,321
4.7
15.711
6.5
3,817
4.2
12,525
5.2
33,148
9.9
91,602
27.5
241.616
72.5
1,824
.5
8,299
2,5
23.025
6.9
17.882
5.4
19,944
6.0
20,628
6.2
20,032
6.0
16,342
4.9
7,431
107
226
16
980
7,236
1,661
21
1,440
1,097
10
139
56
1,093
135
2,595
60
10,703
40
786
8,495
18.658
858
1,051
87
4,239
1 5,802
5,519
82
3,019
8,232
39
513
2,076
12,799
1,203
7,452
292
36,639
171
2,472
20.777
111.699
14.704
82.336
2.150
15,376
17,878
22,389
3,392
13.256
133.099
1,362
26,470
297,766
36,322
57,710
34,660
1,013
486,371
1,085
512
6
6
21
940
83
120
30
1,968
13
37
5
159
2.155
327
384
106
10
6
213
1
823
4
19
170
19
5
93
19
624
6
2,219
15
126
1,271
4,951
88
183
11
800
4,141
1,251
19
936
961
10
102
32
990
110
1,758
53
7,661
21
641
7,054
3,458
115
137
9
856
2,648
1,065
17
532
1.229
5
109
85
1,743
208
1,360
39
6.728
31
576
5.657
3.814
241
234
17
1,114
2,880
1,315
24
556
2,251
17
114
444
3,683
260
1,654
86
8,463
52
640
4.866
3,955
395
454
45
1,289
3,038
1,478
20
491
3,655
7
151
1,491
6,280
600
1,843
107
10,745
48
470
1,759
4,006
633
1,218
1,500
1,953
1,815
69
458
5,836
36
400
5,123
8,189
1,640
1,921
94
16,739
55
3,989
745
2,181
92
1,303
1,480
1,574
75
395
6,422
27
490
6,361
7,782
1,797
1,776
78
20,941
36
75,774
4.1
168
212
923
2,509
3,033
5,824
1,199
100
3,812
4.2
10,156
4.2
13,968
4.2
4,215
727
2,899
108
1,171
1,189
1,411
95
395
6.781
28
616
8.382
6,447
1,910
1,672
72
23,637
51
See footnotes at end of table.
249
Table 52. — Suburban County Arrests, Distribution by Age, 1992 — Continued
OfTense charged
Age
21
22 23 24 25-29 30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
Percent distributioo'
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assauh
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property crime'
Percent distribution'
Cnme Index total' .
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 mfluence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafTic) . .
Suspicion
Curfew and loitering law violations
Runaways
78,831
4.3
159
213
843
2,623
2,752
5.389
1.081
86
3,838
4.2
9,308
3.9
13,146
3.9
4,643
753
3,493
110
1,000
1,125
1,333
125
449
7,239
33
836
12,282
1,768
2,485
1,855
54
26.045
57
74,485
4.1
70,752
3.9
69,115
3.8
326,232
17.8
289,090
15.8
202J34
11.0
120.819
6.6
66,932
3.6
36,113
2.0
20,235
1.1
12,100
.7
144
197
739
2,531
2,221
4,709
887
70
135
177
623
2,341
1,844
4,332
780
64
97
165
679
2,337
1,656
4,076
669
58
469
860
2,474
11,855
7,449
19,364
2,928
313
330
821
1,692
10,826
5,560
17,582
2,009
239
231
566
946
7.909
3,272
12,621
1,156
200
186
402
406
4,468
1,524
7,800
628
116
135
192
183
2,543
722
4,194
310
78
64
136
73
1,446
298
2,361
146
44
44
69
40
846
138
1,372
79
32
27
51
18
500
70
990
45
22
3,611
3.9
7,887
3.3
3,276
3.6
7,020
2.9
3,278
3.6
6,459
2.7
15,658
17.1
30,054
12.4
13,669
14.9
25,390
10.5
9.652
10.6
17.249
7.1
5.462
6.0
10,068
4.2
3,053
3.3
5,304
2.2
1,719
1.9
2,849
1.2
999
I.I
1,621
.7
596
.7
1,127
.5
11,498
3.5
10,296
3.1
9.737
2.9
45,712
13,7
39,059
11,7
26,901
8.1
15,530
4.7
8,357
2.5
4,568
1.4
2,620
1,723
,5
4,526
719
3,602
84
856
990
1,257
138
402
6,943
23
851
12,813
1,305
2,291
1,720
50
24,371
46
4,426
686
3,668
102
732
829
1,151
153
364
6,501
38
905
13,046
863
2,256
1.530
50
23,107
49
4,655
666
3,774
98
712
751
969
139
400
6,280
15
1,021
12,507
764
2,211
1.441
52
22,889
34
23,600
3,144
17,777
426
2,887
3,403
4,093
816
2,230
29,759
122
5,754
61,367
3,015
10,769
6,680
163
104,275
240
22,058
2,735
16,128
345
2,169
2,546
3,195
773
2,313
25,801
156
5,979
56,620
2,336
10,993
6,121
146
89,406
21!
15,381
1,889
11,950
250
1,394
1,616
2,151
476
1,940
16,428
153
4,440
41,495
1,561
8,170
4,226
106
61,662
145
9,138
1,067
7,281
177
781
871
1,377
219
1,339
8,375
147
2,722
27,231
923
5.615
2,432
59
35,461
74
5,156
486
4,136
152
420
503
878
134
915
3,694
154
1,296
17,205
547
3,208
1,434
35
18,167
55
2,644
227
1,922
61
223
266
478
68
539
1,590
141
624
10,329
338
1,843
795
17
9,421
19
1,441
108
1,021
21
112
132
305
41
387
795
120
269
6,095
210
1,213
451
8
4,880
6
851
68
703
19
63
89
190
37
330
375
81
130
3,739
125
705
247
8
2,612
5
12,151
.7
44
53
23
589
92
1,264
43
19
709
.8
1,418
.6
2,127
.6
970
51
383
17
53
135
212
34
400
280
88
137
3,17!
149
604
359
21
2,758
2
'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.
250
I
Table 53. — Suburban Count)' Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1992
|1,I08 agencies; 1992 estimated population 44.292.000]
OfTense charged
Total 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
Under
25
TOTAL
Murder and nonnegligeni manslaughter
Forcible rape
Robber^'
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Properly crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen properly; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex oftenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Oftenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafTic) ...
Suspicion
Curfew and loitering law violations
Runaways
1,834,23«
2.959
5.422
15.238
67.869
61.726
150.623
26,452
2.929
91.488
241,730
333.218
130.357
15.562
83.387
2.237
19.615
33.680
27,908
3.474
16.275
141.331
1.401
26.983
299,842
49,121
58,913
42.112
1,305
523.010
1,256
2,472
20.777
77,475
233,582
455,047
748,230
4.2
12.7
32
307
796
3,050
8.253
17.112
2.777
821
4,185
28.963
33,148
7,431
107
226
16
980
7,236
1,661
21
1.440
1.097
10
139
56
1.093
135
2,595
60
10,703
40
786
8,495
373
854
3,330
9.461
22,116
43,385
10.801
1,282
14,018
77.584
91,602
18,658
858
1.051
87
4,239
15,802
5,519
82
3.019
8,232
39
513
2.076
12,799
1,203
7.452
292
36.639
171
2,472
20,777
894
1.520
6.499
17.055
34.128
64.569
15.691
1,588
1.429
2.272
9.383
26.887
42.601
83,075
19.108
1.866
1.1
5.7
5.2
4.5
13.4
11.4
10.5
28.0
25.968
115,976
141.944
30.868
2.963
7,349
375
8.213
20.424
10,319
321
4,267
27,271
130
2,019
21,942
35.217
6.550
12.821
536
97,956
313
2,472
20,777
39,971
146.650
4.6
12.0
186,621
9.9
49,118
5,787
21,886
769
11.513
24.119
15,029
876
5.882
54,234
239
5,632
72,590
39,917
15.793
19,367
742
194,368
499
2,472
20,777
5.7
.7
.3
.7
5.0
21.5
6.0
2.2
.2
6.2
4.6
2.0
3.2
31.8
40.9
12.6
15.8
21.9
13.9
35.8
28.8
40.8
43.8
15.3
32.1
27.5
14.3
5.5
1.3
3.9
21.6
46.9
19.8
2.4
18.5
5.8
2.8
1.9
.7
26.1
2.0
17.7
22.4
7.0
13.6
100.0
100.0
24.8
30.2
28.0
42.6
25.1
55.3
42.9
59.3
54.2
28.4
48.0
42.6
23.7
19.0
8.8
16.8
41.9
60.6
37.0
9.2
26.2
19.3
9.3
7.5
7.3
71.7
11.1
30.4
41.1
18.7
24.9
100.0
100.0
40.8
48.3
41.9
61.6
39.6
69.0
55.2
72.2
63.7
43.7
60.7
56.0
37.7
37.2
26.2
34.4
58.7
71.6
53.9
25.2
36.1
38.4
17.1
20.9
24.2
81.3
26.8
46.0
56.9
37.2
39.7
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.
'Less than one-tenth of 1 percent.
251
Table 54.— Suburban County Arrests, Distribution by Sex, 1992
(1,108 agencies; 1992 estimated population 44,292,000)
Offense charged
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' ..
Property crime*
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
Number of persons arrested
Total
1,834,236
2,959
5,422
15,238
67,869
61,726
150,623
26,452
2,929
91,488
241,730
Male
1,499,950
333,218
130,357
15,562
83,387
2,237
19,615
33,680
27,908
3,474
16,275
141,331
1,401
26,983
299,842
49.121
58,913
42,112
1,305
523,010
1,256
2,472
20,777
'Because of rounding, the percentages may not add to total.
'Less than one-tenth of I 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.
2,657
5,360
14.027
58,660
56,818
105,773
23,645
2,569
80,704
188,805
Female
334,286
302
62
1,211
9,209
4,908
44,850
2.807
360
10.784
52,925
269,509
107.977
10,180
42,964
1,421
17,365
30,144
25,818
1,467
15,517
117,156
1,181
24,500
261,362
39,108
52,578
34,022
1,097
434,168
1,103
1,802
9,511
Percent
male
81.8
89.8
98.9
92.1
86.4
92.0
70.2
89.4
87.7
88.2
78.1
Percent
female
18.2
10.2
1.1
7.9
13.6
8.0
29.8
10.6
12.3
11.8
21.9
Percent distribution'
Total
100.0
63.709
22.380
5,382
40,423
816
2,250
3,536
2.090
2,007
758
24.175
220
2.483
38.480
10.013
6,335
8,090
208
88,842
153
670
11.266
80.9
82.8
65.4
51.5
63.5
88.5
89.5
92.5
42.2
95.3
82.9
84.3
90.8
87.2
79.6
89.2
80.8
84.1
83.0
87.8
72.9
45.8
19.1
17.2
34.6
48.5
36.5
11.5
10.5
7.5
57.8
4.7
17.1
15.7
9.2
12.8
20.4
10.8
19.2
15.9
17.0
12.2
27.1
54.2
.2
.3
.8
3.7
3.4
8.2
1.4
.2
5.0
13.2
Male
7.1
.8
4.5
.1
1.1
1.8
1.5
.2
.9
7.7
.1
1.5
16.3
2.7
3.2
2.3
.1
28.5
.1
.1
1.1
100.0
Female
.2
.4
.9
3.9
3.8
7.1
1.6
.2
5.4
12.6
18.0
7.2
.7
2.9
.1
1.2
2.0
1.7
.1
1.0
7.8
.1
1.6
100.0
.1
2
.4
2.8
1.5
13.4
.8
.1
3.2
15.8
19.1
6.7
1.6
12.1
.2
.7
1.1
.6
.6
.2
7.2
.1
.7
1 (.4
2.6
3.0
3.5
1.9
2.3
2.4
28.9
26.6
.1
.2
.6
3.4
252
Table 55.— Suburban County Arrests, Distribution by Race, 1992
(1. 107 agencies; 1992 cslimaled population 44.232.000)
OfTcnse charged
Total arrests
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-thefl
Motor vehicle theft
Arson
Violent crime' .
Property crime*
Crime Index total'
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
OfTenses against family and children ..
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafTic) ..
Suspicion
Curfew and loitering law violations
Runaways
1.832.630
2,957
5,408
15.227
67.835
61.685
150.524
26.446
2,927
91,427
241,582
333,009
130,327
15,553
83,219
2,236
19,608
33,668
27,893
3,474
16,268
141,311
1,401
26,714
299,604
49,109
58,894
42,047
1,305
522,521
1,249
2,469
20,751
1.382.006
435.151
7.151
8.322
100.0
75.4
23.7
1,919
3.877
7,017
48,469
48,146
105,678
17.580
2,456
1,011
1,479
8,077
18,720
13.042
42.986
8,606
438
11
38
51
319
216
524
100
19
16
14
82
327
281
1,336
160
14
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
64.9
71.7
46.1
71.5
78.1
70.2
66.5
83.9
34,2
27.3
53.0
27.6
21.1
28.6
32.5
15.0
61.282
173,860
29,287
65,072
419
859
439
1,791
100.0
100.0
67.0
72.0
32.0
26.9
235.142
94,359
1,278
2.230
100.0
70.6
28.3
97,822
10,920
56,537
1,633
13,339
29,004
18,900
2,603
14,167
100,387
1,000
17,008
271,010
44,974
51,865
33,392
988
359,826
1,120
2,137
18,232
31,342
4,548
26,312
589
6,077
4,367
8,720
829
1,979
40,284
367
9,608
25,447
3,531
6,340
8,259
304
159,180
113
315
2,281
556
25
223
5
70
128
85
63
299
607
100.0
60
100.0
147
100.0
9
100.0
122
100.0
169
100.0
188
100.0
51
1,247
369
457
263
10
1,837
12
2
160
31
59
341
34
47
1,900
235
232
133
3
1,678
4
15
78
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
75.1
70.2
67.9
73.0
68.0
86.1
67.8
74.9
87.1
71.0
71.4
63.7
90.5
91.6
88.1
79.4
75.7
68.9
89.7
86.6
87.9
24.0
29.2
31.6
26.3
31.0
13.0
31.3
23.9
12.2
.4
28.5
.2
26.2
36.0
.2
8.5
.4
7.2
.8
10.8
.8
19.6
.6
23.3
.8
30.5
.4
9.0
I.O
12.8
.1
11.0
.8
.5
.4
.2
.4
.6
.5
.7
.4
.2
2.4
.2
.6
.5
.4
.3
.2
.3
.3
.6
.4
See roolnoies at end of table.
253
Table 55.— Suburban County Arrests, Distribution by Race, 1992— Continued
Offense charged
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime'
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 trafTic)
Suspicion
CurfevK and loitering law violations
Runaways
Arrests under 18
Total
233,449
373
850
3.327
9,453
22,094
43.370
10,800
1,282
White
180,922
208
610
1,416
6.185
18.208
32,596
7,202
1.132
Black
49,596
160
231
1,861
3,144
3,635
10,042
3,440
136
American
Indian
Alaskan
Native
1,074
7
15
44
99
154
56
5
Asian
or
Pacific
Islander
1,857
5
2
35
80
152
578
102
9
Percent distribution'
Total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
White
77.5
55.8
71.8
42.6
65.4
82.4
75.2
66.7
88.3
Black
21.2
42.9
27.2
55.9
33.3
16.5
23.2
31.9
10.6
American
Indian
Alaskan
Native
Pacific
Islander
1.3
.2
1.1
.8
,7
1.3
.9
.7
See footnotes at end of table.
254
Table 55. — Suburban County Arrests, Distribution by Race, 1992 — Continued
OITcnsc charged
Arrests 1 8 and over
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robberv'
Aggravated assault
Burglar>'
Larceny-theft
Motor vehicle theft
Arson
Violent crime^ .
Properly crime'
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
prost itut ion)
Drug abuse violations
Gambling
Offenses against family and children . .
Driving under the influence
Liquor lavvs
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
1.599,181
2.584
4.558
11,900
58,383
39,591
107,154
15,646
1,645
77,424
164,036
241.460
111,670
14,695
82,168
2,149
15,369
17,869
22,376
3,392
13,252
133,079
1,362
26.215
297,530
36,312
57,691
34,602
1,013
485,894
1,083
.201.084
385,555
6,077
6,465
100,0
75.1
24.1
1,711
3,267
5,601
42.284
29,938
73,082
10,378
1,324
52,863
114,722
167,585
84,690
10,204
55,720
1,577
10,380
14,999
15,113
2.538
11,660
94,894
992
16,585
269,037
32,805
50,754
27,710
744
332,111
986
851
1,248
6,216
15,576
9,407
32,944
5,166
302
23,891
47,819
71,710
26,017
4,417
26,102
559
4,866
2.721
7,068
813
1,489
37,614
336
9,533
25,368
3,034
6.267
6,570
258
150,730
83
11
31
36
275
117
370
44
14
353
545
II
100.0
12
100.0
47
100.0
247
100.0
129
100.0
758
100.0
58
100.0
5
100.0
317
100.0
950
100.0
66.2
71.7
47.1
72.4
75.6
68.2
66.3
80.5
32.9
27.4
52.2
26.7
23.8
30.7
33.0
18.4
68.3
69.9
30.9
29.2
898
1,267
100.0
69.4
29.7
480
25
221
4
48
66
66
10
52
274
483
100.0
49
100.0
125
100.0
9
100.0
75
100.0
83
100.0
129
100.0
50
1,231
283
444
225
8
1,680
12
31
51
297
34
47
1,894
190
226
97
3
1,373
2
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
75.8
69.4
67.8
73.4
67.5
83.9
67.5
74.8
88.0
71.3
72.8
63.3
90.4
90.3
88.0
80.1
73.4
68.4
91.0
23.3
30.1
31.8
26.0
31.7
15.2
31.6
24.0
11.2
28.3
24.7
36.4
8.5
8.4
10.9
19.0
25.5
31.0
7.7
.8
.7
.8
.3
I.I
.4
.2
2.5
.2
.6
.5
.4
.3
.3
.3
.2
'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.
255
Table 56.— Rural County Arrest Trends, 1991-1992
[1,825 agencies; 1992 eslimated population 18,607.000; 1991 estimated population 18.441,000)
Orfense charged
Number of persons arrested
Total all ages
1991
1992
Percent
change
Under 1 8 years of age
1991
1992
Percent
change
1 8 years of age and over
1991
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index totaP
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
742,755
1,250
2,230
1,787
22,775
27,533
40,812
7,270
1,280
28,042
76,895
104,937
52,533
6,611
49,182
860
6,150
16,695
7,990
218
6,957
41,845
576
8,166
153,187
36,064
51,138
25,929
307
164,749
376
1,035
7,626
750,169
+1.0
71,132
74,859
+5.2
671,623
675310
1,228
2,380
2,046
24,417
27,259
40,596
7,228
1,326
-1.8
+6.7
+ 14.5
+7.2
-1.0
-.5
-.6
+3.6
71
238
191
1,711
8,841
9,359
2,718
328
94
293
245
1,942
9,011
9,604
2,883
365
+32.4
+23.1
+28.3
+ 13.5
+ 1.9
+2.6
+6.1
+ 11.3
1,179
1,992
1,596
21,064
18,692
31,453
4,552
952
1,134
2,087
1.801
22,475
18,248
30,992
4,345
961
30,071
76,409
+7,2
-.6
2,211
21,246
2,574
21,863
+ 16.4
+2.9
25.831
55,649
27,497
54,546
106,480
+ 1.5
23,457
24,437
+4.2
81,480
82,043
55,259
6,835
49,049
1,034
6,016
16,587
8,099
153
8,316
51,309
405
8,741
145,073
33,424
45,974
26,036
227
172,248
182
1,179
7,725
+5.2
+3.4
-.3
+20.2
-2.2
-.6
+ 1.4
-29.8
+ 19.5
+22.6
-29.7
+ 7.0
-5.3
-7.3
-10.1
+.4
-26.1
+4.6
-51.6
+ 13.9
+ 1.3
4,153
355
586
14
984
5,806
697
1,066
1,615
5
169
1,649
8,960
932
2,395
63
9,558
150
1,035
7,626
4,527
403
523
970
6,133
892
14
1,297
2,088
17
226
1,531
8,757
782
2,659
67
10,604
48
1,179
7,725
+9.0
+ 13.5
-10.8
+ 100.0
-1.4
+5.6
+28.0
+ 100.0
+21.7
+29.3
+240.0
+33.7
-7.2
-2.3
-16.1
+ 11.0
+6.3
+ 10.9
-68.0
+ 13.9
+ 1.3
48,380
6,256
48,596
846
5,166
10,889
7,293
211
5,891
40,230
571
7,997
151.538
27,104
50,206
23,534
244
155.191
226
50,732
6,432
48,526
1,006
5,046
10,454
7,207
139
7,019
49,221
388
8,515
143,542
24,667
45,192
23,377
160
161,644
134
-34.1
-9.0
-10.0
-.7
-34.4
+4.2
-40.7
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
256
Table 57.— Rural County Arrest Trends, Sex, 1991-1992
(1.825 agencies; 1992 estimated population 18.607,000; 1991 estimated population 18,441.000)
OfTense charged
Males
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
Females
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
TOTAL
Murder and nonnegligem
manslaughter
Forcible rape
Robber>
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' ..
Property crime'
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 (not included in totals) ..
Curfew and loitering law violations
Runaways
614,698
1.085
2.185
1.646
20.179
25.517
31.696
6,475
1.115
25.095
64.803
89,898
44.079
4,193
25.482
564
5,432
14,906
7,461
111
6,702
35,313
451
7.094
135,166
28,594
45.870
21,334
260
137,534
278
694
3.560
617,392
+.4
55,895
58,606
+4.9
128,057
132,777
+3.7
15,237
16,253
1,069
2,323
1,860
21.391
25.219
31.313
6,364
1.138
-1.5
+6.3
+ 13.0
+6.0
-1.2
-1.2
-1.7
+2.1
65
227
174
1.505
8.196
7.610
2.337
299
85
288
230
1,669
8,341
7,791
2.417
322
+30.8
+26.9
+32.2
+ 10.9
+ 1.8
+2.4
+3.4
+7.7
165
45
141
2.596
2.016
9.116
795
165
159
57
186
3.026
2.040
9.283
864
188
-3.6
+26.7
+31.9
+ 16.6
+ 1.2
+ 1.8
+8.7
+ 13.9
6
11
17
206
645
1.749
381
29
9
5
15
273
670
1,813
466
43
26.643
64.034
+6.2
-1.2
1.971
18.442
2.272
18,871
+ 15.3
+2.3
2,947
12,092
3,428
12.375
+ 16.3
+2.3
240
2,804
302
2.992
90.677
+.9
20.413
21.143
+ 3.6
15.039
15.803
+5.1
3.044
3.294
46,166
4,470
25.241
697
5.291
14.682
7.604
72
7,961
43,322
335
7,570
126,767
26,603
41,103
21.153
196
143.006
148
764
3,712
+4.7
+6.6
-.9
+23.6
-2.6
-1.5
+ 1.9
-35.1
+ 18.8
+22.7
-25.7
+6.7
-6.2
-7.0
-10.4
-.8
-24.6
+4.0
-46.8
+ 10.1
+4.3
3.282
231
375
9
874
5,345
672
1,002
1,363
4
133
1.449
6,185
787
1.876
51
7.586
92
694
3,560
3,532
260
333
10
839
5,576
843
1.171
1.760
15
171
1.317
6,059
661
2.051
57
8,328
35
764
3.712
+7.6
+ 12.6
-11.2
+ 11.1
-4.0
+4.3
+25.4
+ 16.9
+29.1
+275.0
+28.6
-9.1
-2.0
-16.0
+9.3
+ 11.8
+9.8
-62.0
+ 10.1
+4.3
8,454
2.418
23,700
296
718
1,789
529
107
255
6.532
125
1.072
18,021
7,470
5,268
4,595
47
27,215
98
341
4,066
9,093
2,365
23,808
337
725
1,905
495
81
355
7,987
70
1,171
18,306
6,821
4,871
4,883
31
29.242
34
415
4.013
+7.6
-2.2
+.5
+ 13.9
+ 1.0
+6.5
-6.4
-24,3
+39.2
+22.3
-44.0
+9.2
+ 1.6
-8.7
-7.5
+6.3
-34.0
+7.4
-65.3
+21.7
-1.3
871
124
211
5
110
461
25
64
252
1
36
200
2,775
145
519
12
1.972
58
341
4,066
995
143
190
18
131
557
49
10
126
328
2
55
214
2,698
121
608
10
2,276
13
415
4,013
+6.7
+50.0
-54.5
-11.8
+32.5
+3.9
+3.7
+22.3
+48.3
+25.8
+6.7
+8.2
+ 14.2
+ 15.3
-10.0
+260.0
+ 19.1
+20.8
+96.0
+233.3
+96.9
+30.2
+ 100.0
+52.8
+7.0
-2.8
-16.6
+ 17.1
-16.7
+ 15.4
-77.6
+21.7
-1.3
'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 ar^on.
257
Table 58.— Rural County Arrests, Distribution by Age, 1992
(2.231 agencies; 1992 estimated population 23.098,000)
OfTense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
20
TOTAL
Percent distribution'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total'
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
938,630
100.0
1.510
2.980
2.704
30.816
31.682
48.492
8.195
1.494
38.010
100.0
89,863
100.0
127,873
100.0
64,480
8.046
57.907
1.127
7.028
18,676
10,241
189
9.470
60.308
496
10.169
214.594
42.995
50.472
31.276
354
212.428
232
1.456
8.813
25,355
2.7
88,348
9.4
850,282
90.6
1,911
.2
6,013
.6
17,431
1.9
14,992
1.6
21,112
2.2
26,889
2.9
38,541
4.1
40,528
4.3
12
112
43
659
3.543
4.164
937
232
106
347
360
2.501
10.296
11.335
3.209
399
1.404
2.633
2.344
28.315
21.386
37.157
4,986
1,095
11
1
36
334
295
II
43
3
34
9
171
1,027
1,187
134
75
9
67
33
452
2,182
2,682
792
114
13
56
35
407
1,742
1,924
704
56
37
89
101
627
2,362
2,388
830
51
44
90
181
808
2,649
2,859
738
60
72
148
192
1,134
3,096
3,370
638
73
64
110
181
1,158
2,541
2,769
513
76
826
2.2
8.876
9.9
3,314
8.7
25.239
28.1
34.696
91.3
64,624
71.9
48
.1
683
217
.6
2.423
2.7
561
1.5
5.770
6.4
511
1.3
4.426
4.9
854
2.2
5.631
6.3
1.123
3.0
6.306
7.0
1.546
4.1
7.177
8.0
1.513
4.0
5.899
6.6
9,702
7.6
28,553
22.3
99,320
77.7
731
.6
2.640
2.1
6.331
5.0
4.937
3.9
6,485
5.1
7,429
5.8
8,723
6.8
7.412
5.8
1.730
60
115
7
217
2,940
278
5
633
323
2
65
75
928
93
816
30
3.382
25
537
3,392
5,312
437
586
41
1,133
6,908
1,063
14
1.411
2.445
17
262
2,272
10.649
875
2.958
92
12,988
63
1,456
8.813
59,168
7,609
57,321
1,086
5,895
11,768
9.178
175
8.059
57.863
479
9,907
212,322
32.346
49.597
28.318
262
199.440
169
154
4
9
414
6
19
5
461
12
34
910
69
169
54
10
39
19
5
70
1
218
20
60
11
9
103
10
185
II
787
10
96
476
1.162
50
87
7
178
1,569
197
392
251
2
44
27
806
78
561
18
2,377
15
421
2,856
793
76
85
5
208
1,083
169
1
225
317
3
43
90
1,481
107
527
19
2,199
8
323
2,293
1,177
115
123
9
309
1,451
275
233
614
5
65
593
3,112
229
672
26
3,156
17
355
2.087
1,612
186
263
20
399
1,434
341
320
1,191
7
89
1,514
5,128
446
943
17
4,251
13
241
1,041
2,298
392
994
29
515
1,379
491
302
2,275
6
300
3,486
6,877
1,501
1,346
21
7,597
7
2,279
385
1,594
24
450
986
460
318
2,866
8
291
4,789
6,613
1,700
1.363
12
8.971
5
41,735
4.4
76
128
187
I.2I8
2,028
2,403
415
54
1,609
4.2
4,900
5.5
6.509
5.1
2.359
422
2,300
37
439
820
460
255
2.959
8
300
6.197
5,335
1,846
1,343
18
10,115
9
See footnotes at end of table.
258
Table S8.— Rural Count)' Arrests, Distribution by Age, 1992 — Continued
OfTense charged
Age
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
Percent distribution'
Murder and nonnegligent manslaughter
Forcible rape
Robben
Aggravated assault
Burglar>
larceny-theft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property crime*
Percent distribution'
Crime Index total' ..
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 —
40,936
4.4
58
123
164
1,332
1,516
2,122
344
49
1,677
4.4
4,031
4.5
5,708
4.5
2,677
393
2.669
32
426
801
505
246
3,059
8
334
8,367
1.812
2.108
1,509
16
10,257
6
38,248
4.1
35,251
3.8
34,781
3.7
162.006
17.3
147,366
15.7
105,560
11.2
68,789
7.3
40,244
4.3
23,255
2.5
14,229
1.5
8,791
.9
82
131
164
1,217
1.218
1.896
306
55
66
98
128
1.110
1.070
1.609
269
49
46
69
100
1,135
918
1.606
230
42
230
437
492
5,540
3,636
6,586
840
190
190
425
383
5,017
2.547
5,208
616
173
163
381
202
3,660
1,444
3,639
362
115
122
208
75
2,452
724
2.329
194
85
103
130
39
1,394
315
1,353
133
59
41
98
18
781
153
825
59
33
25
56
6
458
62
542
28
20
23
41
9
326
50
339
16
6
1,594
4.2
3.475
3.9
1.402
3.7
2,997
3.3
1,350
3.6
2,796
3.1
6,699
17.6
11,252
12.5
6,015
15.8
8,544
9.5
4,406
11.6
5,560
6.2
2,857
7.5
3,332
3.7
1,666
4.4
1,860
2.1
938
2.5
1,070
1.2
545
1.4
652
.7
399
1.0
411
.5
5.069
4.0
4.399
3.4
4,146
3.2
17,951
14.0
14,559
11.4
9,966
7.8
6,189
4.8
3,526
2.8
2,008
1.6
1,197
.9
810
.6
2,510
509
2,622
40
388
689
435
5
193
3,023
10
362
8.288
1.181
1.965
1,266
9
9,671
13
2,455
355
2,454
28
289
503
371
207
2,756
11
343
7.744
834
1,843
1,275
14
9,356
9
2,477
394
2.606
32
264
444
365
234
2,744
11
360
7,842
774
1,851
1.150
9
9,059
12
12,013
1,616
12,250
180
1,044
2,135
1.602
39
1,019
12,787
42
2,052
40,241
2,638
8,628
5,468
37
40,237
27
11.169
1,416
10,071
288
748
1,660
1,484
43
1,357
11,301
56
2,029
40,237
2,179
8,877
4,854
50
34,955
33
7,530
753
7,839
110
511
998
1,015
23
988
7,118
61
1,588
31.064
1,408
6,807
3,473
29
24,266
13
4,859
444
5,434
106
360
600
760
18
817
3,773
66
939
21,173
928
4,845
2,154
19
15,294
11
2,836
293
3,009
98
205
309
515
609
1,778
64
488
13,081
669
2,955
1,230
16
8.548
9
1,543
91
1,527
28
130
170
303
338
688
44
238
8,205
405
1,981
781
5
4,757
4
927
63
841
31
64
92
178
616
357
36
120
5,052
270
1.181
453
1
2.746
1
545
33
451
13
29
83
104
202
176
25
82
3,319
177
726
319
4
1,688
3
10,022
1.1
43
50
4
383
68
561
23
16
480
1.3
668
.7
1.148
.9
691
50
660
10
33
99
130
358
203
23
81
3,237
246
783
334
2
1,923
7
'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.
259
Table 59.— Rural County Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1992
[2,231 agencies; 1992 estimated population 23.098.000]
Offense charged
Total 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
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
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
938,630
1,510
2,980
2,704
30,816
31,682
48,492
8,195
1,494
38,010
89,863
127,873
64,480
8,046
57,907
1,127
7,028
18,676
10,241
189
9,470
60,308
496
10,169
214,594
42,995
50,472
31,276
354
212,428
232
1,456
8,813
25,355
88,348
209,152
358,368
2.7
9.4
12
112
43
659
3,543
4,164
937
232
106
347
360
2,501
10,296
11,335
3,209
399
318
733
920
6,011
17,961
19,877
4,775
602
570
1,154
1,476
10,805
22,683
27,110
5,924
797
3.8
1.6
2.1
11.2
8.6
11.4
15.5
7.0
11.6
13.3
8.1
32.5
23.4
39.2
26.7
826
8,876
3,314
25,239
7,982
43,215
14,005
56,514
2.2
9.9
8.7
28.1
9,702
28,553
51,197
70,519
7.6
22.3
1,730
60
115
7
217
2,940
278
633
323
2
65
75
928
93
816
30
3,382
25
537
3,392
5,312
437
586
41
1,133
6,908
1,063
14
1,411
2,445
17
262
2,272
10,649
875
2,958
92
12,988
63
1,456
8,813
12,248
1,636
5,474
131
2,537
10,093
2,474
22
2,286
10,545
39
1,153
16,744
29,474
5,922
7,010
143
39,671
84
1,456
8,813
22,367
3,287
15,825
263
3,904
12,530
4,150
42
3,166
22,127
79
2,552
48,985
34,075
13,689
12,210
191
78,014
124
1,456
8,813
2.7
.7
.2
.6
3.1
15.7
2.7
2.6
5.7
.5
.4
.6
2.2
.2
2,6
8.5
1.6
10.8
36.9
38.5
8.2
5.4
1.0
3.6
16.1
37.0
10.4
7.4
14.9
4.1
3.4
2.6
1.1
24.8
1.7
9.5
26.0
6.1
27.2
100.0
100.0
22.3
21.1
24.6
34.0
19.5
56.7
41.0
58.3
40.3
21.0
48.1
40.0
19.0
20.3
9.5
11.6
36.1
54.0
24.2
11.6
24.1
17.5
7.9
11.3
7.8
68.6
11.7
22.4
40.4
18.7
36.2
100.0
100.0
38.2
37.7
38.7
54.6
35.1
71.6
55.9
72.3
53.3
36.8
62.9
55.1
34.7
40.9
27.3
23.3
55.5
67.1
40.5
22.2
33.4
36.7
15.9
25.1
22.8
79.3
27.1
39.0
54.0
36.7
53.4
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 thef\, and arson.
'Includes arson.
*Less than one-tenth of 1 percent.
260
Tabic 60.— Rnnl County Arrests, Distribution by Sex, 1992
[2.231 igencies: 1992 estimated population 23.098.000]
Offense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault .
Burglary
Larceny-thefl
Motor vehicle then
Arson
Violent crime^ . .
Property crime*
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
938,630
1.510
2.980
2.704
30.816
31.682
48.492
8.195
1.494
38.010
89.863
127,873
64.480
8,046
57,907
1,127
7,028
18,676
10,241
189
9,470
60,308
496
10,169
214,594
42,995
50,472
31,276
354
212,428
232
1,456
8,813
774,647
163,983
82.5
17.5
100.0
1,314
2,917
2,480
26,860
29,270
37,343
7,219
1,287
196
63
224
3,956
2,412
11.149
976
207
87,0
97.9
91.7
87.2
92.4
77.0
88.1
86.1
13.0
2.1
8.3
12.8
7.6
23.0
11.9
13.9
.2
.3
.3
3.3
3.4
5.2
.9
.2
33.571
75,119
4,439
14,744
88.3
83.6
11.7
16.4
4.0
9.6
108,690
19,183
85.0
15.0
13.6
53.923
5,308
30,006
756
6,183
16.520
9.585
84
9,069
51,000
406
8,785
187,282
34,472
45,022
25,603
299
176,281
192
949
4,232
10,557
2,738
27,901
371
845
2,156
656
105
401
9,308
90
1,384
27,312
8,523
5,450
5,673
55
36,147
40
507
4,581
83.6
66.0
51.8
67.1
88.0
88.5
93.6
44.4
95.8
84.6
81,9
86.4
87.3
80.2
89.2
81.9
84.5
83.0
82.8
65.2
48.0
16.4
34.0
48.2
32.9
12.0
11.5
6.4
55.6
4.2
15.4
18.1
13.6
12.7
19.8
10.8
18.1
15.5
17.0
17.2
34.8
52.0
6.9
.9
6.2
.1
.7
2.0
I.I
1.0
6.4
,1
I.I
22.9
4.6
5.4
3.3
:
22.6
100.0
.2
.4
.3
3.5
3.8
4.8
.9
.2
4.3
9.7
14.0
7.0
.7
3.9
.1
.8
2.1
1.2
1.2
6.6
,1
1.1
24.2
4.5
5.8
3.3
22.8
2
.1
.5
100.0
.1
2.4
1.5
6.8
.6
.1
2.7
9.0
11.7
6.4
1.7
17.0
.2
.5
1.3
.4
.1
.2
5.7
.1
,8
16.7
5.2
3.3
3.5
2
22.0
2
.3
2.8
'Because of rounding, the percentages may not add to total.
'Less than one-tenth of 1 percent.
^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.
261
Table 61.— Rural County Arrests, Distribution by Race, 1992
[2,228 agencies; 1992 estimated population 23,056,000)
Offense charged
Total arrests
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robber>
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime^
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
937,627
1,507
2,974
2,700
30,802
31,657
48,411
8,187
1,490
37,983
89,745
127,728
64,433
8,031
57,801
1,124
7,017
18.661
10,234
189
9,464
60,195
496
10,141
214,426
42,944
50,413
31,243
350
212,246
226
1,455
8,810
761,785
139,733
25,027
11,082
100.0
81.2
14.9
1,072
2,330
1,519
23,229
26,126
38,908
6,744
1,307
386
522
1,076
6,450
4,218
7,802
1,033
140
42
98
51
928
919
815
298
30
7
24
54
195
394
886
112
13
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
71.1
78.3
56.3
75.4
82.5
80.4
82.4
87.7
25.6
17.6
39.9
20.9
13.3
16.1
12.6
9.4
28,150
73,085
8,434
13,193
1,119
2,062
280
1,405
100.0
100.0
74.1
81.4
22.2
14.7
101,235
21,627
3,181
1,685
100.0
79.3
16.9
49,727
6,239
44,055
960
5,661
16.287
7,656
164
8,586
47,323
275
7,599
182,150
39,294
45,119
25,494
290
164,697
192
1,010
7,772
11,792
1,627
13,161
104
1,172
1,764
2,200
21
600
11,405
139
2,123
23,334
1,824
3,434
3,775
53
39,079
32
50
417
1,977
114
454
10
146
420
205
213
915
23
339
5,803
1,509
1,774
1,744
7
5,896
I
58
234
937
51
131
50
38
190
173
65
552
59
80
3,139
317
86
230
2,574
1
337
387
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
77.2
77.7
76.2
85.4
80.7
87.3
74.8
86.8
90.7
78.6
55.4
74.9
84.9
91.5
89.5
81.6
82.9
77.6
85.0
69.4
88.2
18.3
20.3
22.8
9.3
16.7
9.5
21.5
II. I
6.3
18.9
28.0
20.9
10.9
4.2
6.8
12.1
15.1
18.4
14.2
3.4
4.7
2.7
2.8
3.3
1.9
3.0
2.9
1.7
3.6
2.0
2.9
2.3
2.5
1.2
2.0
.6
1.2
1.8
1.4
.9
.7
1.6
1.3
3.1
1.5
1.4
.6
.8
.2
.9
4.4
2.1
.5
2.3
1.0
2.0
1.7
? 1
2.3
.7
1.5
.9
4.6
11.9
3.3
.8
2.7
1.5
3.5
.7
3.5
.2
5.6
.7
''0
2.8
1.2
.4
.4
4.0
23.2
2.7
4.4
See footnotes at end of table.
262
lable 61. — Rural County Arrests, Distribution by Race, 1992 — Continued
Offense charged
Arrests under 18
Total
White
Black
American
Indian
or
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
While
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robberv
Aggravated assault
Burglar\
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime'
Crime Index total*
Other assaults
Forgerv 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 ..
Drivmg under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
1,270
106
347
360
2,500
10,290
11,321
3,205
399
3,313
25,215
28,528
5,314
437
585
41
1,133
6,903
1,063
14
1.410
2,443
17
260
2.269
10,634
871
2,956
92
12,972
63
1,455
8,810
75,321
76
281
193
1,821
8,945
9,723
2,678
356
2,371
21,702
24,073
3,992
396
487
38
983
6,343
797
1,261
1,788
7
232
2,061
10,051
807
2,489
84
10,583
59
1,010
7,772
7,670
2,765
2,514
100,0
85.3
8.7
26
46
142
567
744
917
297
19
3
15
12
85
372
281
159
13
I
5
13
27
229
400
71
II
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
71.7
81.0
53.6
72.8
86.9
85.9
83.6
89.2
24.5
13.3
39.4
22.7
7.2
8.1
9.3
4.8
781
1,977
115
825
46
711
100.0
100.0
71.6
86.1
23.6
7.8
2,758
940
757
100.0
84.4
9.7
916
29
79
3
109
317
204
98
490
5
18
111
135
23
324
8
1,566
4
50
417
217
9
15
30
154
31
II
89
31
41
54
5
7
75
386
32
101
10
111
3
22
62
9
42
376
447
58
234
337
387
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
75.1
90.6
83.2
92.7
86.8
91.9
75.0
57.1
89.4
73.2
41.2
89.2
90.8
94.5
92.7
84.2
91.3
81.6
93.7
69.4
88.2
17.2
6.6
13.5
7.3
9.6
4.6
19.2
42.9
7.0
20.1
29.4
6.9
4.9
1.3
2.6
1 1.0
8.7
12.1
6.3
3.4
4.7
2.8
4.3
3.3
3.4
3.6
2.5
5.0
3.3
3.5
3.3
3.3
4.1
2.1
2.6
2.6
2.2
2.9
2.9
2.2
29.4
2.7
3.3
3.6
3.7
3.4
2.9
4.0
2.7
2.8
.9
1.4
3.6
1.1
2.2
3.5
2.2
2.8
1.4
2.8
2.7
3.6
.7
.7
1.0
1.3
2.9
.7
4.5
1.2
1.0
.6
1.0
1.4
3.4
23.2
4.4
See footnotes at end of table.
263
Table 61.— Rural County Arrests, Distribution by Race, 1992— Continued
OfTense charged
Arrests 18 and over
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-thefl
Motor vehicle theft
Arson
Violent crime* .
Property crime'
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
849,357
1,401
2,627
2,340
28,302
21,367
37,090
4,982
1,091
34,670
64,530
99,200
59,119
7,594
57,216
1,083
5,884
11,758
9,171
175
8,054
57,752
479
9,881
212,157
32,310
49,542
28,287
258
199,274
163
686,464
132,063
22,262
8,568
100.0
80.8
ISS
996
2.049
1,326
21,408
17,181
29,185
4,066
951
360
476
934
5,883
3,474
6,885
736
121
39
83
39
843
547
534
139
17
25,779
51,383
7,653
11.216
1,004
1,237
6
100.0
19
100.0
41
100.0
168
100.0
165
100.0
486
100.0
41
100.0
2
100.0
234
100.0
694
100.0
71.1
78.0
56.7
75.6
80.4
78.7
81.6
87.2
25.7
18.1
39.9
20.8
16.3
18.6
14.8
11.1
74.4
79.6
22.1
17.4
77,162
18,869
2,241
928
100.0
77.8
19.0
45,735
5.843
43,568
922
4,678
9,944
6,859
156
7.325
45.535
268
7.367
180,089
29,243
44.312
23,005
206
154.114
133
10,876
1.598
13,082
101
1,063
1,447
1,996
15
502
10,915
134
2,105
23,223
1,689
3.411
3.451
45
37,513
28
1.760
105
439
10
116
266
174
172
861
18
332
5,728
1.123
1.742
1,643
7
5,520
1
748
48
127
50
27
101
142
55
441
59
77
3.117
255
77
188
2.127
I
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
77.4
76.9
76.1
85.1
79.5
84.6
74.8
89.1
90.9
78.8
55.9
74.6
84.9
90.5
89.4
81.3
79.8
77.3
81.6
18.4
21.0
22.9
9.3
18.1
12.3
21.8
8.6
6.2
18.9
28.0
21.3
10.9
5.2
6.9
12.2
17.4
18.8
17.2
2.6
2.8
3.2
1.7
3.0
2.6
1.4
2.8
1.6
2.9
1,9
2.3
3.0
1.4
2.0
2.3
1.9
2.3
2.1
1.5
3.8
3.4
2.7
3.5
3.5
5.8
2.7
2.8
.6
1.0
.7
1.1
1.3
.6
.2
4.6
.5
.9
1.5
12.3
.8
1.5
1.1
.6
'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.
264
Tible 62.— Suburban Area' Arrest Trends, 1991-1992
(■J.350 agencies; 199: eslimalcd populalion 70..1(X),000; 1991 population 70.309,0001
Offense charged
Number of persons arrested
Total all ages
1991
1992
Percent
change
Under 18 years of age
1991
1992
Percent
change
18 years of age and over
1991
1992
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Properly crime'
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 (not included in totals)
Curfew and loitering law violations ...
Runaways
3,282,167
3,485
8.085
23,498
98,381
98,217
364,337
41,678
5.375
133.449
509.607
643.056
6.002
24.578
192.759
1.711
33.522
554.972
156.134
181.237
156.294
4.306
729.019
2.393
21.302
43.922
3,255,754
3.414
7,810
23,249
103.251
96.565
357,380
39,606
5,452
137,724
499,003
636,727
229,763
240,840
24.318
25,033
104,426
105,307
3,343
3,198
41,927
40,527
82,584
83,928
47,992
52,744
5,774
25,786
215.927
1,814
35,299
501,474
130,129
165,775
155,450
4,041
759,725
2,175
20,986
45,270
549,826
569,752
+3.6
2,732,341
2,686,002
-2.0
-3.4
-1.1
+5.0
-1.7
-1,9
-5.0
+ 1.4
379
1.347
5,636
14.343
36.588
116.183
18.329
2.914
478
1,315
5,8.30
16,589
36,990
118,088
17,729
3,021
+26.1
-2.4
+3.4
+ 15.7
+ 1.1
+ 1.6
-3.3
+3.7
3.106
6.738
17,862
84,038
61,629
248,154
23,349
2,461
2,936
6,495
17,419
86,662
59,575
239,292
21,877
2,431
+3.2
-2.1
21,705
174.014
24,212
175,828
+ 11.6
+ 1.0
111,744
335,593
113,512
323,175
-1.0
195,719
200,040
+2.2
447,337
436,687
+4,8
+2.9
+.8
-4.3
-3.3
+ 1.6
+9.9
-3.8
+4.9
+ 12.0
+6.0
+5.3
-9.6
-16.7
-8.5
-.5
-6.2
+4.2
-9.1
-1.5
+ 5.5
37,174
2,006
1,913
185
12,000
40,491
10,763
172
4,726
13,222
103
1,000
5,402
41,122
5,219
33,858
896
79,631
887
21,302
42,922
42.550
1.956
2.102
155
11.517
43.219
13.1.36
148
5,395
16.947
171
1.158
4.209
35.746
4.431
35.424
977
84.215
766
20.986
45.270
+ 14.5
-2.5
+9.9
-16.2
-4.0
+6.7
+22.0
192,589
22.312
102.513
3.158
29.927
42,093
37,229
-14.0
5.830
+ 14.2
19,852
+28.2
179,537
+66.0
1,608
+ 15.8
32,522
-22.1
549,570
-13.1
115,012
-15.1
176,018
+4.6
122,436
+9.0
3,410
+5.8
649,388
-13.6
1,506
-1.5
+5.5
198,290
23,077
103,205
3,043
29,010
40,709
39,608
5,626
20,391
198,980
1,643
34,141
497,265
94,383
161,344
120,026
3,064
675,510
1,409
-5.5
-3.6
-2.5
+3.1
-3.3
-3.6
-6.3
-1.2
+1.6
-3,7
-2.4
+3.0
+3.4
+.7
-3.6
-3.1
-3.3
+6.4
-3.5
+2.7
+ 10.8
+2.2
+5.0
-9.5
-17.9
-8.3
-2.0
-10.1
+4.0
-6.4
■Includes suburban city and county law enforcement agencies within melropolilan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
^Violent crimes are olTenses of murder, forcible rape, robbery, and aggravated assault.
'Properly crimes are offenses of burglary, larceny-theft, molor vehicle theft, and arson.
'Includes arson.
265
Table 63.— Suburban Area' Arrest Trends, Sex, 1991-1992
(4,350 agencies; 1992 estimated population 70,730,000; 1991 estimated population 70,309.000]
OfTense charged
Males
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
Females
Total
1991
1992
Percent
change
Under 18
1991
1992
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Properly crime^
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 (not included in totals) . .
Curfew and loitering law violations
Runaways
2,670,479
3,095
7,966
21,700
86,274
89,886
248,279
37,347
4,765
119,035
380,277
499,312
190,821
15,642
53,874
2,043
36,721
74,392
44,848
2,749
23,468
160,436
1,442
29,367
479,349
125,412
162,044
127,702
3,791
602,493
1,979
15,459
19,114
2,637,323
429,001
443,398
+3.4
611,688
618,431
+1.1
120,825
126,354
3.059
7,693
21,316
89,647
87,933
243,854
34,944
4,813
-1.2
-3.4
-1.8
+3.9
-2.2
-1.8
-6.4
+ 1.0
365
1,320
5,291
12,374
33,732
85,595
16,100
2,670
442
1,277
5,394
14,065
33,954
86,691
15,188
2,717
+21.1
-3.3
+ 1.9
+ 13.7
+.7
+ 1.3
-5.7
+ 1.8
390
119
1,798
12,107
8,331
116,058
4,331
610
355
117
1,933
13,604
8,632
113,526
4,662
639
-9.0
-1.7
+7.5
+ 12.4
+3.6
-2.2
+7.6
+4.8
14
27
345
1,969
2,856
30,588
2,229
244
36
38
436
2,524
3,036
31,397
2,541
304
121,715
371,544
+2.3
-2.3
19,350
138,097
21,178
138,550
+9.4
+.3
14,414
129,330
16,009
127,459
+ 11.1
-1.4
2.355
35,917
3,034
37,278
493,259
-1.2
157,447
159,728
+ 1.4
143,744
143,468
38,272
40,312
198,168
15,815
55,406
1,937
35,271
75.418
49.101
2,689
24,458
179,336
1,552
30,868
431,889
103,648
147.471
125,930
3.488
625,949
1,873
15,302
20,368
+3.9
+ 1.1
+2.8
-5.2
-3.9
+ 1.4
+9.5
-2.2
+4.2
+ 11.8
+7.6
+5.1
-9.9
-17.4
-9.0
-1.4
-8.0
+3.9
-5.4
-1.0
+6.6
28.989
1,322
1,293
113
10,808
37,369
10,209
109
4.451
11.439
99
687
4,651
29.734
4,385
27.159
788
63.376
714
15.459
19,114
32,790
1,270
1,463
97
10,322
39,827
12,362
90
5,050
14,684
165
811
3,646
25,516
3,712
28,350
831
67,014
659
15,302
20,368
+ 13.1
-3.9
+ 13.1
-14.2
-4.5
+6.6
+21.1
-17.4
+ 13.5
+28.4
+66.7
+ 18.0
-21.6
-14.2
-15.3
+4.4
+5.5
+5.7
-7.7
-1.0
+6.6
38.942
8,676
50,552
1,300
5,206
8,192
3,144
3,253
1,110
32,323
269
4,155
75,623
30,722
19,193
28,592
515
126,526
414
5,843
23,808
42,672
9,218
49,901
1,261
5,256
8,510
3,643
3,085
1,328
36,591
262
4,431
69,585
26,481
18,304
29,520
553
133,776
.302
5,684
24,902
+9.6
+6.2
-1.3
-3.0
+ 1.0
+3.9
+ 15.9
-5.2
+ 19.6
+ 13.2
-2.6
+6.6
-8.0
-13.8
-4.6
+3.2
+7.4
+5.7
-27.1
-2,7
+4.6
8.185
684
620
72
1.192
3,122
554
63
275
1,783
4
313
751
11.388
834
6,699
108
16,255
173
5,843
23,808
9,760
686
639
58
1,195
3,392
774
58
345
2,263
6
347
563
10,230
719
7,074
146
17,201
107
5,684
24,902
+4.6
+ 157.1
+40.7
+26.4
+28.2
+6.3
+2.6
+ 14.0
+24.6
+28.i
+3.i
+5.3
+ 19.2
+.3
+3.1
-19.4
+.3
+8.6
+39.7
-7.9
+25.5
+26.9
+50.0
+ 10.9
-25.0
-10.2
-13.8
+5.6
+35.2
+5.8
-38.2
-2.7
+4.6
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'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.
266
Table 64. — Suburban Area' Arrests, Distribution by Age, 1992
15.484 agencies: 1992 estimated population 90.709.000]
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
OfTense charged
Under
10
10-12
13-14
15
16
17
18
19
20
21
TOTAL
4,286,760
100.0
255.701
6.0
724,150
16.9
3,562,610
83,1
16,105
.4
63,117
1.5
176,479
4.1
136,675
3.2
157,712
3.7
174,062
4.1
192,626
4.5
189,797
4,4
186,112
4,3
184,476
4.3
Murder and nonnegligent
4,610
10,688
34,139
140.117
127,350
459,033
51,058
6,627
57
692
2,381
7,299
19,281
65,995
6,259
2,349
621
1.813
8,783
22,205
48,740
149,977
22,938
3,606
3,989
8,875
25,356
117,912
78,610
309,056
28,120
3,021
42
61
467
1.417
3.758
68
459
9
182
426
1,820
5,155
19,246
744
789
48
468
1,894
5,012
12,709
42,991
5,447
1,101
107
297
1,811
4,140
9,459
27,117
5,844
493
196
373
2,155
5,017
10,019
28,639
5,885
409
261
451
2.436
5,749
9,981
28,226
4,950
355
287
512
2,654
5,852
9,492
25,240
3,877
251
282
456
2,213
5,455
7,713
20,041
2,829
189
254
409
1,956
5,389
5,964
16,936
2,234
193
252
448
Robberv'
1.776
5.633
5.367
15,336
1,987
179
Violent crime*
189,554
100.0
644.068
100.0
10,429
5.5
93,884
14.6
33,422
17.6
225.261
35.0
156,132
82.4
418,807
65.0
570
.3
5.702
.9
2,437
1.3
25,934
4.0
7,422
3.9
62,248
9.7
6,355
3.4
42.913
6.7
7,741
4.1
44,952
7.0
8,897
4.7
43,512
6.8
9,305
4.9
38,860
6.0
8,406
4.4
30,772
4.8
8.008
4.2
25,327
3.9
8,109
4.3
22,869
Percent distribution^
3.6
833,622
100.0
104,313
12.5
258,683
31.0
574,939
69.0
6.272
.8
28.371
3.4
69,670
8.4
49,268
5.9
52,693
6.3
52,409
6.3
48,165
5.8
39,178
4.7
33,335
4.0
30,978
3.7
312,573
33,383
149,791
3,981
49,429
101,951
65,567
9,657
31,805
278,927
2,714
42,922
594,627
168,443
205,274
204,873
4,471
1,112,221
3,525
24,359
52,645
21,783
401
1,461
28
4,026
25,558
5,143
41
3,106
3,040
47
434
143
3,966
645
15,117
356
35,757
348
7,521
22,467
53,285
2,462
5,172
209
13,890
51,625
16,195
223
6,402
21,416
222
1,527
4,927
43,481
5,440
43,500
1,092
116,475
920
24,359
52,645
259,288
30,921
144,619
3,772
35,539
50,326
49,372
9,434
25.403
257,511
2,492
41,395
589,700
124,962
199,834
161,373
3,379
995,746
2,605
1,456
16
63
107
3,002
217
247
72
2
58
44
60
43
1,013
12
2,659
27
136
599
5,866
66
234
8
809
8,061
1,101
5
809
324
7
69
14
333
64
3,847
69
8,084
91
1,153
3,732
14,461
319
1,164
20
3,110
14,495
3,825
36
2,050
2,644
38
307
85
3,573
538
10,257
275
25,014
230
6,232
18,136
9,616
360
1,295
16
2,821
8,580
3,166
39
1.126
3,510
36
328
196
6,273
886
8,172
193
20,863
173
5,749
14,009
10,716
658
922
58
3,289
8,943
3,743
61
1,103
5,881
70
385
1,115
12,372
1,365
9,614
261
26,262
211
6,406
11,584
11,170
1,043
1,494
107
3,754
8,544
4,143
82
1,067
8,985
69
380
3,473
20,870
2,544
10,597
282
33,593
188
4,683
4,585
10,727
1,557
3,034
175
3,789
5,960
4,404
173
979
12,937
86
851
9.749
28,618
5,377
11,011
275
44,571
188
10,550
1,778
4,573
198
3,239
4,445
3,879
228
894
13,830
80
948
13,012
26,942
5,870
10,142
248
49,615
148
10,733
1.784
5.818
214
2.764
3,649
3,310
284
889
14.080
88
1.106
16,881
22,246
6,380
9,571
235
52,591
154
11,993
1,635
6,551
221
Stolen property; buying, receiving,
2,405
3,439
Weapons; carrying.
3,216
Prostitution and
commercialized vice
365
954
Drug abuse violations
14,699
Gambling
76
OfTenses against family and
children
1,453
Driving under the influence
25,442
6,301
Drunkenness
8,702
10,263
Vagrancy , ,
198
All other offenses (except
traffic)
55,452
Suspicion
133
Curfew and loitering law
See footnotes at end of table.
267
Table 64. — Suburban Area' Arrests, Distribution by Age, 1992 — Continued
OfTense charged
Age
22
23
24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
Percent distribotion'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribulion'
Properly crime*
Percent distribution'
Crime Index total' .
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessmg
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
170,530
4.0
213
421
1,532
5,451
4,391
13,352
1,558
135
7,617
4,0
19,436
3.0
27,053
3.2
11,676
1,588
6,716
179
2,023
2,935
2,905
433
865
13,729
69
1,430
25,518
4,633
7,805
9,127
164
51,545
137
157,176
3.7
152,404
3.6
704,651
16,4
617,144
14.4
429.094
10.0
257431
6.0
141,654
3J
77,690
1.8
43,937
1.0
27.187
.6
206
362
1.340
5,033
3,716
11,907
1,446
120
159
363
1,321
4.931
3,365
11,853
1,269
99
752
1,699
5,246
24,120
15,077
54,218
5,148
533
497
1,562
3,697
21,441
11,267
49,418
3,592
444
357
1,096
2,048
14,970
6,688
36,060
2,043
344
268
677
896
8,557
3,112
22,324
1,084
210
190
346
369
4,928
1,322
12,038
535
131
94
227
160
2,659
606
7,123
252
76
68
119
80
1,454
232
4,375
132
46
6,941
3.7
17,189
2.7
6,774
3.6
15,585
2.5
31,817
16.8
74,975
11.6
27,197
14.3
64,721
10.0
18,471
9.7
45,135
7.0
10,398
5.5
26,730
4.2
5,833
3.1
14,026
2.2
3,140
1.7
8,057
1.3
1,721
.9
4,785
.7
24,130
2.9
23,360
2.8
105,793
12.8
91,918
11.0
63,606
7.6
37,128
4.5
19,859
2.4
11,197
1.3
5,506
11,147
1,434
6,588
175
1,701
2,448
2,472
384
833
12,778
58
1,495
25,144
3,305
7,537
7,557
150
47,513
117
11,137
1.406
6,781
172
1,609
2,232
2,130
453
821
12,129
38
1,611
24,414
2,694
7,358
7,384
139
45,425
111
55,375
6,505
31,263
765
6,444
9,220
8,720
2,328
4,346
57,406
225
8,942
120,023
10,105
35,015
30,936
606
208,104
528
49,359
5,610
27,388
559
4,931
6,935
6,739
2,095
4,453
48,770
302
9,044
112,537
7.599
37,485
25,394
490
175,078
447
33,853
3,763
20,016
432
3,145
4,212
4,468
1.251
3,479
30,364
289
6,690
81,793
4,955
28,926
17,185
395
119,951
300
19,658
2,057
12,133
291
1,749
2,205
2,945
633
2,402
15,324
275
4,012
54,297
3,086
19,515
9,893
229
59,339
149
10.793
946
6,792
213
853
1,176
1,798
338
1.507
6.403
254
1,949
34,224
1,830
11,534
5,551
108
35,325
100
5,542
418
3,158
96
441
634
1,002
180
979
2.715
219
94!
20,237
1,073
7,160
3,125
58
18,455
49
2,909
201
1,602
34
221
324
591
126
537
1,277
174
452
12,102
683
4,573
1,692
35
9,781
17
42
79
21
911
133
3,423
71
38
1,053
.5
3,555
.5
4,718
.6
1,800
119
1,076
27
113
201
375
77
574
595
120
218
7,445
411
2,852
1,094
20
5,343
9
30,801
.7
68
99
47
1,128
165
5,412
63
33
1,342
.7
5,673
.9
7,015
2,006
120
1,030
21
111
310
418
85
691
475
139
253
6,882
480
2,744
1,338
29
5,636
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'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.
268
Table 65. — Suburban Area' Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1992
[5.484 agencies; 1992 cslimated population 90.709,000)
OtTense 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
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robber\
Aggravated assault
Burglars
Larceny-theft
Motor vehicle thefl
Arson
Violent crime'
Property crime'
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 trafiic)
Suspicion
Curfew and loitering law violations
Runaways
4,286,760
4,610
10,688
34,139
140,117
127,350
459,033
51,058
6,627
189,554
644.068
833.622
312,573
33,383
149,791
3.981
49.429
101,951
65,567
9,657
31.805
278.927
2,714
42,922
594,627
168,443
205,274
204,873
4.471
1.112.221
3.525
24.359
52.645
255,701
724,150
1,292,685
1,957,271
6.0
16.9
57
692
2.381
7,299
19,281
65,995
6.259
2,349
621
1.813
8,783
22,205
48.740
149,977
22,938
3,606
1.444
3,190
15,606
38.901
71,909
212,194
31,878
4,239
2,274
4,784
21,575
59,949
88,748
264,642
38,138
4,772
1.2
6.5
7.0
5.2
15.1
14.4
12.3
35.4
13.5
17.0
25.7
15.8
38.3
32.7
44,9
54.4
10,429
93,884
33,422
225.261
59.141
320,220
88.582
396,300
5.5
14.6
17.6
35.0
104.313
258,683
379.361
484,882
12.5
31.0
21.783
401
1,461
28
4,026
25,558
5.143
41
3.106
3,040
47
434
143
3,966
645
15,117
356
35,757
348
7,521
22,467
53,285
2,462
5,172
209
13,890
51.625
16.195
223
6.402
21,416
222
1.527
4,927
43,481
5,440
43.500
1.092
116,475
920
24,359
52,645
85.295
7,581
18,597
796
23,682
65,679
27,788
908
9,164
62,263
476
4,432
44,569
121,287
23,067
74,224
1.850
263.252
1.410
24.359
52.645
131,248
13,644
45,333
1,543
31.420
76,733
38,511
2,543
12,637
115,598
717
10,421
145,087
138,220
54,469
108,665
2,501
464,187
1,908
24.359
52,645
7,0
1.2
1.0
.7
8.1
25.1
7,8
.4
9.8
I.I
1.7
1.0
2.4
.3
7.4
8.0
3.2
9.9
30.9
42.7
17.0
7.4
3.5
5.2
28.1
50.6
24.7
2.3
20.1
7.7
8.2
3.6
25.8
2.7
21.2
24.4
10.5
26.1
100.0
100.0
30.2
31.3
29.8
45.7
27.8
56.5
46.2
62.4
64.0
31.2
49.7
45.5
27.3
22.7
12.4
20.0
47.9
64.4
42.4
9.4
28.8
22.3
17.5
10.3
7.5
72.0
11.2
36.2
41.4
23.7
40.0
100.0
100.0
45.7
49.3
44.8
63.2
42.8
69.7
57.7
74.7
72.0
46.7
61.5
58.2
42.0
40.9
30.3
38.8
63.6
75.3
58.7
26.3
39.7
41.4
26.4
24.3
24.4
82.1
26.5
53.0
55.9
41.7
54.1
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.
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, iarceny-theft. motor vehicle theft, and arson.
'Includes arson.
*Less than one-tenth of 1 percent.
269
Table 66.— Suburban Area^ Arrests, Distribution by Sex, 1992
[5.484 agencies; 1992 estimated population 90,709.000]
Offense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution^
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-thefl
Motor vehicle theft
Arson
Violent crime'
Property crime'
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
4.286,760
4,610
10,688
34,139
140,117
127,350
459,033
51,058
6.627
189,554
644,068
833.622
312,573
33,383
149,791
3,981
49,429
101,951
65,567
9,657
31,805
278,927
2,714
42,922
594,627
168,443
205,274
204,873
4,471
1.112.221
3,525
24,359
52,645
3,474,062
812,698
81,0
19.0
100,0
4,129
10,553
31,305
120,543
116,613
313,810
45,190
5,829
481
135
2,834
19,574
10,737
145,223
5,868
798
89.6
98.7
91.7
86.0
91.6
68.4
88.5
88.0
10.4
1.3
8.3
14.0
8.4
31.6
11.5
12.0
.1
.2
.8
3.3
3.0
10.7
1.2
.2
166,530
481,442
23,024
162,626
87.9
74.8
12.1
25.2
4.4
15.0
647,972
185,650
77.7
22.3
19.4
257,577
21,806
82,013
2,42-
43,075
91,333
60,833
4,617
30,156
232,517
2,327
37,533
510,642
134.779
182,540
165,964
3,858
917,601
3,064
17,869
23,562
54,996
11,577
67,778
1,557
6,354
10,618
4,734
5.040
1,649
46,410
387
5,389
83,985
33,664
22,734
38,909
613
194,620
461
6,490
29,083
82.4
65.3
54.8
60.9
87.1
89.6
92.8
47.8
94.8
83.4
85.7
87.4
85.9
80.0
88.9
81.0
86.3
82.5
86.9
73.4
44.8
17.6
34.7
45.2
39.1
12.9
10.4
7.2
52.2
5.2
16.6
14.3
12.6
14.1
20.0
11.1
19.0
13.7
17.5
13.1
26.6
55.2
7.3
.8
3.5
.1
1.2
2.4
1.5
.7
6.5
.1
1.0
13.9
3.9
4.8
4.8
25.9
.1
.6
1.2
100.0
.1
.3
.9
3.5
3.4
9.0
1.3
.2
4.8
13.9
18.7
7.4
.6
2.4
.1
1.2
2.6
1.8
.1
.9
6.7
.1
1.1
14.7
3.9
5.3
4.8
.1
26.4
.1
.5
.7
100,0
.3
2.4
1.3
17.9
.7
.1
2.8
20.0
22.8
6.8
1.4
8.3
.2
.8
1.3
.6
.2
5.7
3
.7
10.3
4.1
2.8
4.8
.1
23.9
.1
.8
3.6
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also Included in other groups.
'Because of rounding, the percentages may not add to total.
'Less than one-tenth of one percent.
'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.
1
270
Table 67. — Suburban Area' Arrests, Distribution by Race, 1992
(5.476 agencies; 1992 estimated population 90,592,000)
Offense charged
Total arrests
Total
While
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution^
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robber>
Aggravated assault
Burglarv'
Larceny-lheft
Motor vehicle theft
Arson
Violent crime' .
Property crime*
Crime Index toIaP
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
Disorderiy conduct
Vagrancy
All other offenses (except trafTic) ..
Suspicion
Curfew and loitering law violations
Runaways
4,280,290
4,607
10,663
34,109
140,007
127,218
458,298
51,019
6,604
189,386
643,139
832,525
312,391
33.335
149,511
3,980
49,341
101,867
65,463
9.657
31,773
278,694
2,711
42,594
593,583
167.716
205,153
204,505
4,470
1.110,673
3,518
24,264
52,566
3,240,742
999,493
18,485
21,570
100.0
75.7
23.4
2,774
7,328
15,561
97,915
97,530
326.481
34,592
5,600
1,792
3.218
18,240
40,645
28.484
125.423
15,784
928
14
62
131
611
464
2,015
246
35
27
55
177
836
740
4,379
397
41
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
60.2
68.7
45.6
69.9
76.7
71,2
67.8
84.8
38.9
30.2
53.5
29.0
22.4
27.4
30.9
14.1
123,578
464,203
63,895
170.619
2,760
1,095
5,557
100.0
100.0
65.3
72.2
33.7
26.5
587,781
234,514
3,578
6,652
100.0
70.6
28.2
231,042
23.608
101,760
2,948
32,957
85,930
44,842
6,928
27,128
197,852
1,574
29,738
541,408
153.055
178,569
157,051
3,238
764,303
2,873
20,587
45,570
78,123
9,453
46,757
995
15,847
15,055
19,948
2,637
4,358
79,479
1,068
12,645
46,498
12,960
24,253
45.960
1,190
337,351
620
3,441
6,.34l
1,519
94
392
9
165
362
203
22
127
630
8
110
2,556
1,016
1.751
839
20
4,592
14
102
376
1,707
180
602
28
372
520
470
70
160
733
61
101
3,121
685
580
655
22
4,427
II
134
279
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
74.0
70.8
68.1
74.1
66.8
84.4
68.5
71.7
85.4
71.0
58.1
69.8
91.2
91.3
87.0
76.8
72.4
68.8
81.7
84.8
86.7
25.0
28.4
31.3
25.0
32.1
14.8
30.5
27.3
13.7
28.5
39.4
29.7
7.8
7.7
11.8
22.5
26.6
30.4
17.6
14.2
12.1
.6
.5
.5
.6
.6
1.0
.5
.5
.4
.7
.5
,3
2.3
.2
.5
.4
.3
.3
.5
.4
.3
.6
.5
See fooinotes at end of table.
271
Table 67. — Suburban Area' Arrests, Distribution by Race, 1992 — Continued
Offense charged
Arrests under 18
Total
While
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution^
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime*
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
723.000
621
1,809
8,775
22,184
48.681
149.673
22.924
3,587
33,389
224,865
258,254
53,254
2,458
5,169
209
13,871
51,589
16,165
223
6,397
21,401
222
1,510
4,917
43,341
5,436
43,445
1,092
116,302
915
24,264
52,566
562,325
151,614
3,291
5,770
100.0
77.8
21.0
328
1,189
3,920
14,565
39,456
115,263
15,642
3.182
285
604
4,730
7,346
8,606
31,860
6,877
367
1
II
46
86
206
694
136
II
7
5
79
187
413
1,856
269
27
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
52.8
65.7
44.7
65.7
81.1
77.0
68.2
88.7
45.9
33.4
53.9
33.1
17.7
21.3
30.0
10.2
20,002
173,543
12,965
47,710
144
1,047
278
2,565
100.0
100.0
59.9
77.2
38.8
21.2
193.545
60,675
1,191
2,843
100.0
74.9
23.5
37,802
2,076
2,846
135
9,515
45,060
11,682
160
5,163
14,584
60
1,280
4,672
41,019
5,002
32,903
914
87,016
734
20,587
45,570
14,856
326
2,225
69
4,128
6,077
4,249
62
1,180
6,635
160
225
206
1,891
360
10,223
170
27,940
175
3,441
6,341
200
17
15
2
60
173
52
26
61
1
2
29
281
45
126
4
527
396
39
83
3
168
279
182
102
376
28
121
I
3
10
150
29
193
4
819
6
134
279
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
71.0
84.5
55,1
64.6
68.6
87.3
72.3
71.7
80.7
68.1
27.0
84.8
95.0
94.6
92.0
75.7
83.7
74.8
80.2
84.8
86.7
27.9
13.3
43.0
33.0
29.8
11.8
26.3
27.8
18.4
31.0
72.1
14.9
4.2
4.4
6.6
23.5
15.6
24.0
19.1
14.2
12.1
.4
.7
.3
1.0
.4
.3
.3
1.1
.3
.9
1.2
1.2
1.1
.7
1.6
1.6
1.4
1.2
.5
1.1
See footnotes at end of table.
272
Tabic 67.— Suburban Area' Arrests, Distribution by Race, 1992— Continued
Oflcnse charged
Arrcsis 18 and over
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
PaciTic
Islander
Percent distribution^
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime*
Crime Index total'
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)
Drag 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
3,557,290
3,986
8.854
25,334
117,823
78.537
308.625
28,095
3.017
155.997
418,274
574,271
259.137
30.877
144,342
3,771
35,470
50,278
49,298
9,434
25.376
257.293
2,489
41,084
588,666
124,375
199,717
161,060
3,378
994,371
2,603
2.678,417
847,879
15,194
15.800
100.0
75.3
23.8
2.446
6,139
11,641
83,350
58,074
211,218
18,950
2,418
1,507
2,614
13,510
33,299
19,878
93,563
8,907
561
13
51
85
525
258
1,321
no
24
20
50
98
649
327
2,523
128
14
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
61.4
69.3
46.0
70.7
73.9
68.4
67.4
80.1
37.8
29.5
53.3
28.3
25.3
30.3
31.7
18.6
103.576
290.660
50.930
122,909
674
1.713
817
2.992
100.0
100.0
66.4
69.5
32.6
29.4
394.236
173.839
2,387
3,809
100.0
68.6
30.3
193,240
21,532
98,914
2,813
23,442
40,870
33,160
6,768
21,965
183,268
1,514
28.458
536.736
112,036
173,567
124,148
2,324
677,287
2,139
63,267
9,127
44,532
926
11,719
8,978
15,699
2,575
3,178
72.844
908
12,420
46,292
11.069
23,893
35,737
1,020
309,411
445
1,319
77
377
7
105
189
151
21
101
569
7
108
2.527
735
1.706
713
16
4,065
14
1,311
141
519
25
204
241
288
70
132
612
60
98
3,111
535
551
462
18
3,608
5
100.0
100.0
100.0
100.0
100.0
100.0
100.0
1 00.0
100.0
100.0
100.0
100.0
100.0
lOO.O
100.0
lOO.O
100.0
1 00.0
100.0
74.6
69.7
68.5
74.6
66.1
81.3
67.3
71.7
86.6
71.2
60.8
69.3
91.2
90.1
86.9
77.1
68.8
68.1
82.2
24.4
29.6
30.9
24.6
33.0
17.9
31.8
27.3
12.5
28.3
36.5
30.2
7.9
8.9
12.0
22.2
30.2
31.1
17.1
.5
.5
.4
.7
.6
.5
.6
.5
.2
2.4
.2
.5
.4
.3
.3
.5
.4
.2
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'Because of rounding, the percentages may not add to total.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
*Proi)erty crimes are offenses of burglary, larceny-thef^, motor vehicle theft, and arson.
'Includes arson.
273
Table 68.— Arrests by State, 1992
[1992 estimated population] Leaders indicate zero data.
Stale
Total'
all
classes
Cnmc-
Index
total
Violent'
cnme
Property^
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Other
assaults
Forgery
and
counter-
feiting
ALABAMA: 254 agencies;
population 3.847,000:
Under 18
Total all ages
ALASKA: 23 agencies;
population 552.000:
Under 18
Total all ages
ARIZONA: 80 agencies;
population 3.613.000:
Under 18
Total all ages
ARKANSAS: 1 80 agencies;
population 2.390.000:
Under 18
Total all ages
CALIFORNIA: 661 agencies;
population 30.660.000:
Under 18
Total all ages
COLORADO: 205 agencies;
population 3.191.000:
Under 18
Total all ages
CONNECTICUT: 95 agencies;
population 2.686.000:
Under 18
Total all ages
DELAWARE: 3 agencies;
population 372.000:
Under 18
Total all ages
DISTRICT OF COLUMBIA:
agency;
population 589.000;
Under 18
Total all ages
FLORIDA: 426 agencies;
population 12.454.000:
Under 18
Total all ages
GEORGIA: 320 agencies;
population 4.868,000:
Under 18
Total all ages
HAWAII: 5 agencies;
population 1.160,000:
Under 18
Total all ages
IDAHO: 80 agencies;
population 937.000:
Under 18
Total all ages
ILLINOIS: 224 agencies;
population 4,896.000:
Under 18
Total alt ages
INDIANA: 105 agencies;
population 2,880,000:
Under 18
Total all ages
13,263
182,413
4,904
34.226
51,000
239,330
16.576
173,106
246,332
1,659,184
52,073
240.050
25.348
172.183
2.014
10.298
3.741
50,388
82,150
633,595
29.531
288.583
18,841
64,991
17,323
54,331
54,481
224,100
30.085
124.407
5,858
35,067
2,609
7,134
18,750
54,072
6,179
23,847
110,683
436,111
17,398
46,991
9,407
42.595
815
2,223
1,412
11,629
48,294
176,767
10,446
52,934
5,058
12,716
6,171
11,230
19.818
56.161
10.372
27.410
1.001
11.796
142
1.060
2.128
9,286
758
4,917
20,930
146.709
1.794
8.802
1.292
9.652
131
582
586
5,259
8,812
53,849
1,408
12,023
334
1,352
417
1,517
2,527
11,034
1,629
6,776
4,857
23,271
2,467
6,074
16,622
44,786
5,421
18,930
89,753
289,402
I 5,604
38,189
8.115
32,943
684
1,641
826
6,370
39,482
122,918
9.038
40.911
4.724
11.364
5,754
9.713
17,291
45,127
8,743
20,634
49
429
45
229
39
276
649
3,421
21
209
19
143
29
254
147
1,166
35
436
28
335
15
196
43
545
67
346
64
431
565
4,028
73
539
63
454
23
115
341
2,262
79
744
31
173
282
1,047
38
201
278
2,141
26
114
468
1,590
173
904
8,130
31,080
302
1,034
323
1,978
185
1,304
2,951
11,587
349
2.346
180
496
553
2,153
202
832
631
8,681
99
831
1,548
7,121
482
3,306
11,586
108,180
1,398
7.020
887
7.077
85
418
349
3.586
5.373
38.834
945
8,497
120
644
382
1,308
1,664
7,499
1,374
5,547
859
3,871
367
744
3,480
7,426
1,331
3,609
24,966
80,090
1,898
4,033
1,687
6,315
184
393
62
1,073
10.365
28,438
1,973
7,410
926
1,867
980
1,609
2,710
6,659
1,178
2,886
3,607
17,819
1,887
4,896
10,976
33,674
3,702
14,424
45,464
160,454
12,406
31,541
5,064
23,841
459
1,169
128
3,142
23,208
81,510
6,137
30,849
3,037
7,957
4,431
7,662
13,454
36,519
6,565
15.738
363
1,452
207
418
1,967
3,366
339
747
18,030
46,444
1,074
2,269
1,239
2,531
624
2,105
5,720
12,398
839
2,334
727
1,484
267
345
881
1.528
906
1.832
28
129
199
320
49
150
1.293
2.414
226
346
125
256
189
572
89
318
246
421
94
178
730
22,592
305
3,465
4,028
25,033
706
6,758
20,626
77,280
3,854
24,261
2,061
16,766
326
2,871
266
1,903
5,246
45,321
2,251
18,841
1,402
3.947
848
3.669
6.316
35,299
1,575
7,370
50
1,511
131
1,228
100
1,427
944
12,614
176
1,227
47
999
9
9!
5
295
246
5,757
159
4,462
25
445
107
388
153
1,546
50
563
See roolnotes at end of table.
274
Table 68.— Arrests by State. 1992— Continued
Embt^^l^
mcni
Slokn
propen>:
buying,
recciung;
possessing
Vandalism
Weapons.
earning,
possessing
eic
Prosli-
tulion
and
commer-
cialized
vice
Sex
offenses
(except
forcible
rape and
proslilulior
Drug
abuse
Violations
Gambling
OITcnses
against
family
and
children
Driving
under the
influence
Liquor
laws
Drunken-
ness'
Disorderly
conduct
Vagrancy
All other
offenses
(except
traffic)
Suspicion
Curfew
and
loilenng
law
violations
Runaways
456
511
427
12
24
534
24
5
187
888
209
712
1
1,212
60
1,292
39
2.421
3,548
2,273
184
4.36
8,766
142
896
19,736
8,423
16,577
5,472
102
38,398
60
1,292
5
10
32
330
982
93
487
2
53
63
275
109
837
21
3
112
66
5,088
492
1,785
1
34
829
733
12,868
32
32
9
766
2,652
757
19
425
1 765
21
200
4 613
3,029
19.229
68
4,615
42,165
3,771
3,771
5,265
5,265
239
2,077
7,870
3,002
2,053
2,296
15,398
48
1,828
28,458
22,622
923
1
535
501
496
11
59
441
35
14
192
634
397
938
40
3.119
77
951
1,044
80
2,548
1.648
2,937
348
485
7,216
351
771
20,424
4.107
21,478
6,929
551
49,235
448
951
1,044
83
6.836
17,977
9,284
210
2,903
14,529
139
21
1.839
4,575
3,518
6,167
864
27,344
7,962
9,011
1.239
27,820
31,634
36,457
18.534
18,021
227,784
1,515
596
255,856
18,857
140,285
15,378
4,832
306,954
7,962
9,011
24
346
2,698
1,135
11
413
873
2
43
341
3,941
10
3,045
17
9,546
16
3,853
4,153
299
794
7,100
4.011
1,246
2,296
8,275
48
1,672
29,389
15,702
512
17,543
1,022
65,960
24
3,853
4,153
66
2,003
776
20
195
1,655
5
99
75
455
1
3,581
20
4,165
6
118
555
43
410
4,632
2,874
1,039
931
15,533
196
1,604
10,425
2,008
29
27,602
94
40,890
7
118
555
56
119
107
325
18
96
1
6
12
80
63
525
1
20
1
188
664
5
212
114
511
1
17
258
2,054
14
14
50
23
123
195
11
24
451
13
6
314
454
440
2
546
801
1,495
1,257
163
7,753
234
27
3.162
94
7,618
5,743
3,955
440
47
985
1,018
5,246
2,339
4,805
1,739
8,637
81
6,508
470
4,983
3,915
60.598
45
850
160
40.079
1.513
23,587
16,599
242,296
16
6
546
1,061
744
17
241
1,146
16
189
419
1,579
227
2,190
39
5,147
53
688
2,140
242
3.794
2,618
4,190
419
1,943
20,409
266
2,791
47,578
8,106
9,184
22,981
172
73,224
358
688
2,140
2
56
47!
97
3
167
419
1
133
38
244
179
4,832
1,017
4,656
103
282
1,103
924
583
686
3,758
694
3.021
5,559
1,367
1,473
22,052
1,017
4,656
15
167
1,304
133
83
137
15
94
1.402
8
458
19
2,028
5
1,411
2,871
54
322
1,719
384
11
265
1.305
3
142
10,774
4,207
154
1,847
39
12,819
8
1,411
2,871
634
5.275
1,062
16
331
1.452
40
23
165
3,882
92
3.200
4
6,076
69
4,111
1,633
21
1,534
11.178
4,271
1.265
1,547
11.133
212
858
21,237
14,914
980
13.753
32
40.930
176
4,111
1,633
2
388
1,338
290
17
223
492
6
38
82
2,243
418
1,268
12
4.553
21
1,770
4,856
17
957
2,149
1,464
852
1,250
5.15^
174
540
14,926
7,802
15,732
5,996
21
24,307
39
1,770
4,856
275
Table 68.— Arrests by State, 1992— Continued
State
Total'
all
classes
Crime-
Index
tolal
Violent'
crime
Properly*
crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
Iheft
Other
assaults
Forgery
and
counter-
feiting
IOWA: 133 agencies;
population 1,787.000:
Under 18
Total all ages — . —
KANSAS: 146 agencies;
population 1,947,000:
Under 18
Total all ages
KENTUCKY: 502 agencies;
population 3.603.000:
Under 18
Total all ages
LOUISIANA: 71 agencies;
population 2.554.000:
Under 18
Total all ages
MAINE: 127 agencies;
population 1.018,000:
Under 18
Total all ages
MARYLAND: 151 agencies;
population 4,908,000;
Under 18
Total all ages
MASSACHUSETTS: 196
agencies;
population 3,964.000:
Under 18
Total all ages
MICHIGAN: 471 agencies;
population 8.470.000:
Under 18
Total all ages
MINNESOTA: 299 agencies;
population 4.456.000;
Under 18
Total all ages
MISSISSIPPI: 52 agencies;
population 909.000;
Under 18
Total all ages
MISSOURI: 131 agencies:
population 2.229.000;
Under 18
Total all ages
MONTANA: 71 agencies;
population 742.000:
Under 18
Total all ages
NEBRASKA: 231 agencies;
population 1.165.000;
Under 18
Total all ages
NEVADA: 17 agencies;
population 1.054,000:
Under 18
Total all ages
NEW HAMPSHIRE: 95
agencies;
population 904,000;
Under 18
Total all ages
9.796
59.119
21.587
130,654
20,977
283,180
24,823
167,445
8,920
46,195
41,260
264,647
16,204
136,787
53,290
379,638
39,923
143,703
7,052
59,275
22,573
130,031
8,460
28,859
11,482
55,034
12,530
81,340
5,626
29,941
3,038
10,770
8,199
23,549
8,957
42,394
9,720
38,100
4,042
10,222
18,437
54,261
6.451
35.010
22.862
78.071
15.673
33.068
2.941
12,236
7,727
31,659
3,158
7,016
3,705
8,284
4,116
15,772
1,796
5,074
340
2,049
865
4,011
1,419
16,977
1,873
10,820
144
1,165
3,202
14,014
2,029
14,177
3,794
22,903
932
3,714
267
1,926
1,458
7.773
148
426
2,658
96
614
2,698
8,721
7,334
19,538
7,538
25.417
7,847
27,280
3,898
9,057
15,235
50,247
4,422
20,833
19,068
55,168
14,741
29,354
2,674
10,310
6,269
23.886
3,070
6,437
3,557
7,476
3,690
13,114
1.700
4,460
9
114
22
293
75
453
103
520
20
140
193
1,850
14
no
18
145
45
310
27
157
26
241
52
648
85
517
176
I.OII
71
701
429
2,287
62
319
37
207
58
420
18
115
42
255
36
217
177
660
273
1.467
425
2,130
31
135
990
4,540
510
2.459
989
4,878
150
397
87
509
394
1,993
45
128
157
967
24
114
285
1,736
653
2,996
1,072
14,569
1,288
7,720
90
932
1,933
7,943
1,428
10,877
2,183
13,888
706
125
1,065
961
5,050
54
368
84
538
200
1,279
58
408
380
1,019
1,519
3,635
1,687
5,563
1,770
6.098
793
1.797
2.751
10,899
1.357
5,351
3,226
9,839
1.818
3,808
602
2.061
1.134
4.476
229
636
536
1,144
743
2,734
270
630
2,106
7,264
5,363
14,949
5,069
17,848
5,304
19,568
2,862
6,740
8,445
31,681
2,217
12,955
13.759
40,907
11,435
23,159
1,725
7,465
4.400
17.278
2.529
5,308
2,802
5,896
2.705
9.702
1.324
3,615
161
342
362
743
687
1.707
670
1,373
179
408
3,760
7,177
795
2,334
1,772
3.691
1.342
2.146
332
711
618
1.835
274
438
143
326
210
517
69
162
90
211
95
299
103
241
64
112
279
490
53
193
311
731
146
241
117
297
76
110
786
4.874
1,867
17.389
609
13.282
2.137
1 3.054
1,021
5,028
4,754
28,077
836
10,573
2,970
22,440
2,404
12,197
509
5,894
1,972
15,152
473
2,958
1,122
5,708
740
8,532
342
2,901
35
275
147
1,119
332
4,449
59
1,757
21
232
66
1,275
12
468
101
1,294
314
1,554
15
599
66
993
71
292
59
432
19
581
14
147
See footnotes at end of table.
276
Tible 68.— Arrests by State. 1992— Continued
Embeate-
SloJcn
buying.
rKtiMfig.
possessing
Vandalism
Weapons;
earning.
possessing
elc
Prosli-
tulton
and
commer-
cialiied
vice
Sn
olTcnses
(except
forcible
rape and
proslilution
Dnig
abuse
MOlalions
Gambling
OITenses
against
family
and
children
Dnving
under the
influence
Liquor
laws
Drunken-
ness*
Disorderly
conduct
Vagrancy
All other
offenses
(except
trafTic)
Suspicion
Curfew
and
loitering
law
violations
Runaways
3
38
602
88
33
36
3
133
1,902
163
377
1,210
349
971
65
91
1.400
426
244
219
840
4
71
10,048
8,836
6,673
2,407
56
9,323
349
971
1
131
1.758
547
6
187
494
3
49
246
1,164
14
783
10
2,119
39
1,426
2,381
74
401
3.979
2.254
683
922
6,655
36
414
19,696
6,700
49
5,179
63
34,626
63
1,426
2,381
68
1.251
1,360
277
7
243
818
3
26
568
850
901
1,488
2,867
52
99
978
4.508
5.910
3.487
524
3,357
20,434
204
4,192
40,875
4,087
46,899
21,581
58
39,889
52
99
872
1.267
643
8
175
1.059
35
138
99
160
85
1,780
23
3,999
127
978
1,446
1
3.767
3.679
2.950
440
1,190
13.417
363
1,012
11,065
745
7,301
9,865
214
53,574
190
978
1,446
114
961
66
3
97
153
14
96
377
4
184
1,351
75
308
10
406
2.085
321
109
334
1,799
4
247
7,857
2,113
12
1,878
11,279
75
308
24
76
2.640
1,202
24
503
3,231
45
16
198
1,067
2
966
50
5,572
68
563
1,668
487
335
5.263
5,124
1,359
1,828
29,103
200
1,241
25,583
5,308
9
5,704
269
83,303
308
563
1,668
896
897
311
26
78
1,302
3
105
79
736
322
1,237
36
1,996
13
65
797
8
3.585
2.546
1,360
3,335
906
17,041
81
2,497
13,752
2,944
7,206
9,541
178
24,361
244
65
797
63
1.790
3.499
1,752
39
540
2,341
42
504
2,394
26
2,491
1 12
6 097
1,524
1,524
3,448
3,448
984
9.453
8.386
8.722
3,050
2,920
27,355
417
1,449
49,957
19,061
312
24,079
404
105,212
907
3,324
589
3
398
481
4
16
394
5.461
2,547
32
3,249
1.630
2,223
6
1.987
5,648
1.330
42
1,281
5,120
62
375
26,036
15.513
9,182
81
17,792
1.630
2,223
13
61
145
187
31
366
16
1
60
257
122
440
15
1,187
6
154
509
310
327
548
1.075
57
227
4,489
161
443
7,071
1,847
6,614
3,852
35
11,988
12
154
509
1
234
1,633
687
13
274
868
17
61
155
1,018
36
860
42
3.171
104
1,405
2,175
14
1.110
4.346
3.405
938
1,210
7,566
192
1,475
14,821
4,507
1,198
7,773
408
26.340
1,116
1,405
2,175
7
11
32
752
1,402
49
123
2
39
80
287
46
403
3
7
117
168
5,557
1,979
5,474
497
2,424
575
1.724
558
558
228
1,026
141
89
160
6
186
1,851
1
424
1.564
1
456
417
20
635
2.089
481
2
465
2,637
21
803
10,304
6,920
1
2,949
8
10.647
1
456
417
20
500
437
271
9
42
303
13
33
38
936
5
228
136
1,656
6
2,261
715
360
1.910
1,094
1,223
2,303
629
5,919
24
469
6,222
2,954
645
2.782
1,990
23.487
10
2,261
715
IS8
446
28
1
43
141
57
646
294
131
19
969
56
32
447
2
508
913
104
33
290
1,993
12
47
5,792
2,748
1,761
1,139
148
5.470
56
32
447
277
Table 68.— Arrests by State, 1992— Continued
Sute
Tolal'
all
classes
Cnme'
Index
total
Violent'
Clime
Property'
crime
Murder
and non-
negligeni
man-
slaughter
Forcible
rape
Robbery
vated
assault
Bursary
Larceny-
theft
Motor
vehicle
theft
Other
assaults
Forgery
and
counter-
feiting
NEW JERSEY: 544 agencies;
population 7,557,000:
Under 18
Tolal all ages
NEW MEXICO: 42 agencies;
population 882.000:
Under 18
Total all ages
NEW YORK: 474 agencies;
population 15.355.000:
Under 18
Tolal all ages
NORTH CAROLINA:
agencies;
population 6,643.000:
Under 18
Total all ages
428
NORTH DAKOTA': 63
agencies;
population 489.404:
Under 18
Total all ages
OHIO: 292 agencies;
population 7.317.000:
Under 18
Total all ages
OKl-AHOMA: 269 agencies;
population 3.129.000:
Under 18
Total all ages
OREGON: 190 agencies;
population 2.821.000:
Under 18
Total all ages
PENNSYLVANIA: 745 agencies:
population 10.044.000:
Under 18
Total all ages
RHODE ISLAND: 43 agencies;
population 1.005.000:
Under 18
Total all ages
SOUTH CAROLINA: 169
agencies;
population 3,456.000:
Under 18
Total all ages
SOUTH DAKOTA: 68 agencies;
population 505.000:
Under 18
Total all ages
TENNESSEE: 103 agencies;
population 2.458.000:
Under 18
Total all ages
TEXAS: 848 agencies;
population 17.623.000:
Under 18
Total all ages
UTAH: 73 agencies;
population 1.330.000:
Under 18
Total all ages
86.735
372.969
11.061
65.409
151,694
1.159.763
41.484
483.580
5.854
1 7,967
71.656
378.024
25.672
142.495
39.132
148.581
84.133
381.247
9.139
42.998
9.669
124.308
7.773
30.643
23.955
162,671
175.075
1.037.745
31.023
86.159
25.135
77,860
4,754
13,598
42.680
175.483
15.828
87.744
2.112
3,728
21,245
64,803
11,294
28,051
14,935
38,300
24,233
86,891
3,156
9.658
3.272
15.433
2.375
4,918
7,125
34,457
61.506
202,033
13,216
22,709
5,243
21,497
433
2,400
15,608
65.040
2.772
26,254
35
155
3.077
14.881
1,326
5,871
1,093
4,452
4,791
22,929
595
2,952
798
5,164
78
497
807
8,311
8,216
40,877
861
2.088
19.892
56,363
4.321
11.198
27.072
110.443
13.056
61,490
2,077
3,573
18,168
49,922
9,968
22,180
I 3,842
33,848
19,442
63,962
2,561
6,706
2,474
10,269
2,297
4,421
6.318
26,146
53,290
161,156
12,355
20,621
51
349
235
1,545
95
813
61
495
30
194
IS
135
90
698
25
215
34
384
367
1,930
230
1,257
17
109
269
1,945
817
342
1,445
91
503
87
482
264
1,591
32
137
78
471
63
486
378
2,761
57
176
1,917
5,850
62
259
10,062
29,979
502
3,629
29
1.285
4,854
339
1,069
420
1.431
1.918
i.056
80
279
110
721
272
1.950
2.839
9.734
124
315
3.045
14.041
349
1.986
5,042
31,571
2,087
20,995
1,389
8,087
866
4.105
571
2,404
2,519
12,584
479
2,512
585
3,757
57
366
438
5.491
4,632
26,452
675
1,562
4,038
10,586
535
1,228
5,138
19,916
3.810
1 7.024
407
3.375
8.908
2.008
4.243
2.147
4.736
3.854
12,330
562
1,450
583
2,219
232
514
993
4,256
11,598
29,319
1,452
2,232
13,833
42,313
3,600
9,563
17,996
76,630
8,288
41,608
1,679
2,903
12,133
36.371
6.529
15.343
9.952
25.542
11.864
43.040
1.602
4,447
1,613
7,370
1,925
3,701
4,892
20,611
33,926
114.469
9.694
16,743
1,684
2,900
172
372
3,512
12.984
745
2.273
165
246
2,317
3,982
1,197
2,207
1,452
3,072
3,357
7,781
312
684
257
601
103
159
385
1,072
7.376
16.291
1.032
1.423
337
564
426
913
213
585
343
661
234
387
291
498
367
811
85
125
48
207
390
1.077
177
223
9.411
40.796
699
5.457
9,279
48,927
4,295
41,694
266
862
6,684
28,217
925
6,688
2.798
17,789
5,209
30,258
781
4,802
1.092
8.593
317
1,725
1,442
12,651
11,175
77,195
1,851
6,947
72
1,059
35
216
369
5,669
196
5,835
46
169
129
1.993
136
1.113
197
1.313
145
2.251
14
136
32
920
29
197
326
1.740
615
1,140
196
776
See footnotes at end of table.
278
Table 68.— Arrests by State, 1992— Continued
Embeulc-
mcnl
Slolcn
propertN
buving.
rtccumg;
po««sing
Vandalism
Weapons;
earning.
possessing
eic
Prosli-
lulion
and
commer-
cialized
vice
Se>
offenses
(excepl
foreible
rape and
prostilulion
Drug
abuse
Violations
Gambling
Offenses
against
family
and
children
Dnving
under the
influence
Liquor
laws
Drunken-
ness'
Disorderly
conduct
Vagrancy
All other
offenses
(except
traffic)
Suspicion
Curfew
and
loitering
law
violations
Runaways
:3
4.300
7.695
2,487
21
468
4,810
31
37
158
3,470
2
10,219
42
10,509
1,962
5,663
120
10.707
12.665
6,963
2,514
2,300
41.182
311
15.042
26.580
9,650
3
38,751
182
72,900
1,962
5,663
11
236
360
187
15
41
304
23
185
1,176
51
381
2
1,584
2
442
535
126
657
699
639
571
268
2,116
12
708
11.995
5,146
763
2,773
15
18,204
48
442
535
14
3,123
9,558
3,256
78
1.290
8,301
107
229
231
1,734
2
8.880
1,332
48,207
4.749
331
14,987
25,571
15,314
12,438
5.962
101,348
3.881
3.176
37,869
12,426
2
54.766
13,628
572,204
4.749
98
1,039
2,412
1,105
39
242
2,014
10
64
945
1,589
1.767
21
8,053
82
1,168
1.980
6.025
9,594
7,969
1,285
2.727
29,034
652
6.228
72,889
12,018
15.334
181
127,578
82
1,168
76
421
47
23
15
42
46
906
5
249
482
337
769
135
620
93
1
65
282
17
191
2,284
3,064
215
941
3
2,005
337
769
■y
2,389
3,704
1,316
47
482
2,584
59
941
372
3.270
654
4,133
21
13,770
84
4,607
5,067
47
7,690
6,798
7,097
4,196
2.658
26,293
433
10,342
33.978
17,781
21.508
21,777
1,108
104,727
307
4,607
5,067
45
563
896
538
17
106
602
10
44
261
904
655
392
2.410
1,031
4,743
464
1,960
1.699
2,598
603
1.142
9,010
53
514
22,384
5.708
30.210
2,973
19,997
1,031
4.743
2
208
2.611
526
37
422
770
15
12
250
4.074
904
3,802
3,496
3,934
64
525
5.234
2,253
1.007
1.738
10,355
36
294
23,653
15.319
4,703
17,147
3,496
3,934
6
1,361
7.155
1,081
34
683
2.828
8
59
197
7,051
313
11,542
100
9,154
8,213
4.530
103
4,193
16.385
3,955
2.042
2.837
28.288
396
1.014
32,478
23.531
24,343
62,412
415
39.752
8.213
4.530
2
164
915
116
3
44
271
102
27
203
9
595
,,
1.363
341
134
8S8
67
664
1.828
491
358
449
3.142
40
467
2,585
1.227
52
3.118
30
10,026
965
134
838
1
130
438
290
4
82
95
3
71
134
900
231
1.323
1.095
37
304
14
541
1.798
1,657
288
358
1.223
201
721
14,553
8,795
14,175
16,547
285
12.338
37
304
6
86
648
69
44
46
86
1,311
33
278
2
1,292
388
745
17
179
882
185
3
162
675
17
140
5,320
6,208
498
2,214
11
5,295
1
388
745
35
782
722
14
48
963
121
11
100
877
373
2,035
18
4,594
13
2,328
1.983
24
163
2.285
3,641
1.579
497
11.218
781
955
19,391
3.688
23.743
8,306
51
30,793
72
2,328
1.983
13
588
7.092
5,081
137
1,121
6.306
102
566
923
4.320
4,788
8,176
270
21,101
3,697
4,030
33,026
227
2,274
14,950
25,096
7.676
7,106
69.835
1.005
6.813
109.956
21.118
194,601
33,195
1,119
199,837
6,552
4,030
33,026
6
281
1,747
498
25
421
510
5
19
104
2.213
106
980
7
6,402
1,174
1,082
27
587
2,376
961
893
1,169
3.097
26
367
5,824
8.360
5,515
3,100
8
20,241
2
1,174
1,082
279
Table 68.— Arrests by State, 1992— Continued
State
Total'
all
classes
Crime-'
Index
total
Violent'
cnme
Property"
crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson
Other
assaults
Forgery
and
counter-
feiting
Fraud
VERMONT: 11 agencies;
population 302,029.
Under 18
466
4,723
46,298
394,502
46,746
240,717
6,547
63,054
111,311
383,179
6,023
25,859
240
957
15,420
65,991
22,898
55,091
2,543
10,653
31,136
66,143
1,613
3,648
12
103
1,502
11,475
1,790
7,229
167
1,670
2,184
8,032
50
570
228
854
13,918
54,516
21,108
47,862
2,376
8,983
28,952
58,111
1,563
3,078
1
4
72
508
23
156
7
106
94
445
1
15
3
19
133
997
223
921
20
203
121
684
6
40
1
9
604
2,718
493
1,433
52
271
867
2,408
3
28
7
71
693
7,252
1,051
4,719
88
1,090
1,102
4,495
40
487
106
321
2,421
8,206
3,365
6,733
518
1,610
3,686
6,969
147
379
112
504
9,571
42,170
15,739
38,070
1,599
6,725
21,630
45,802
1,319
2,529
8
16
1,763
3,690
1,803
2,723
210
509
3,285
4,823
80
137
2
13
163
450
201
336
49
139
351
517
17
33
43
531
4,070
44,185
5,215
33,051
428
7,104
4.805
26,259
196
1,507
5
42
234
4.768
278
1.677
30
441
377
1.850
23
131
10
217
VIRGINIA: 402 agencies,
population 6,373,000:
Under 18
191
16.760
WASHINGTON: 182 agencies;
population 4,124,000:
Under 18
61
Total all ages
1,866
WEST VIRGINIA: 295
agencies;
population 1,810,000:
Under 18
40
5,853
WISCONSIN: 309 agencies;
population 4,919,000:
Under 18
351
9,368
WYOMING: 56 agencies;
population 442,000:
Under 18
22
190
i
'Does not include trafTic arrests.
'Includes arson.
'Violent crime includes ofTenses of murder, Torcible rape, robbery, and aggravated assault.
•Property crime includes ofTenses of burglary, larceny-theft, motor vehicle theft, and arson.
NOTE: Direct comparisons of arrest totals listed in this table should not be made with prior years* issues. Some Part II ofTenses arc not considered crimes in some States; therefore figures may
vary widely.
280
Table 68.— Arrests by State, 1992— Continued
Emteale-
mcnt
Stolen
property
buyiin.
receiving;
posxsini
Vandalism
Weapons.
carrying,
possessing
Prosli-
tut ion
and
commer-
cialized
vice
Sej
offenses
(except
forcible
rape and
prostitution
Drag
abuse
violations
Gambling
Offenses
against
family
and
children
Driving
under the
influence
Liquor
laws
Drunken-
ness'
Disorderly
conduct
Vagrancy
All other
Offenses
(ejcepi
traffic)
Suspicion
Curfew
and
loitering
law
violations
Runaways
1
7
1.1
84
38
168
1
16
115
15
214
20
1,625
36
161
12
179
17
318
104
15
40J
2.4 17
1.449
11
446
1,465
10
12
240
1.839
565
1,584
7.933
2,078
5,916
1,051
1.948
6.753
7.763
1.535
3,098
19,404
262
1.461
40,097
12.480
52.599
9,948
96.405
2,078
5.916
3
1.275
2.760
832
30
494
939
9
296
3.092
2
533
7
5.079
18
56
2,869
72
3.354
6.039
2.599
1.191
2.597
10,633
15
559
39,654
13.865
57
4,458
40
60,836
138
56
2,869
1
77
378
130
3
26
137
4
72
75
323
241
895
391
753
106
529
1.571
1.391
69
352
1.976
36
223
9,089
891
10.152
2,175
19
9,278
2
391
753
40
814
6,516
2.401
19
1.689
1.155
91
624
389
9.756
90
15,451
24
17,834
143
6,377
11.229
160
1.566
12.931
7.442
1.230
4.122
11.320
310
4.993
35.085
33,720
249
58,854
136
89,599
236
6,377
11,229
17
170
41
22
71
13
81
1.200
52
347
19
1,236
3
170
727
6
63
354
122
3
140
566
240
4.966
3,833
1.727
1,347
56
6,050
13
170
727
281
Table 69. — Police Disposition of Juvenile Offenders Taken into Custody, 1992
[1992 estimated population]
Population group
Total'
Handled
within
department
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: 9,1S8 agencies; popuUrion I8S.129,000:
Number
U30,455
100.0
399,856
30.1
831,696
62.5
22,400
1.7
14J23
1.1
62,180
Peicent'
4.7
TOTAL CITIES: 6,558 dties; population 128,524,000:
Number
1,097,394
100.0
328,269
29.9
690,118
62.9
16,889
1.5
11,049
1.0
51,069
4.7
Group I
52 cities, 250,000 and over, population 36,814,000:
237,739
100.0
155,493
100.0
184,811
100.0
176,806
100.0
186,505
100.0
1 56,040
100.0
177,373
100.0
55,688
100.0
624,464
100.0
75,439
31.7
44,365
28.5
59,254
32.1
55,897
31.6
51,551
27.6
41,763
26.8
59,142
33.3
12,445
22.3
204.838
32.8
156,444
65.8
100,734
64.8
110,082
59.6
108,611
61.4
117,716
63.1
96,531
61.9
104,577
59.0
37,701
66.4
369,089
59.1
1.424
.6
3.292
2.1
4,195
2.3
2,344
1.3
2,882
1.5
2,752
1.8
3,869
2.2
1,642
2.9
9,015
1.4
2.151
.9
1,915
1.2
2.142
1.2
2,245
1.3
1,302
.7
1.294
.8
2,661
1.5
613
1.1
7,418
1.2
2.281
1.0
114 cities, 100,000 to 249,999; population 16,853,000:
5.187
3.3
Group III
289 cities, 50,000 to 99,999; population 19,928,000;
9.138
4.9
Group IV
555 cities, 25,000 to 49,999; population 19,397,000;
Number
7.709
4.4
Group V
1,248 cities, 10,000 to 24,999; population 19,757,000:
Number
13,054
7.0
Group VI
4.300 cities under 10.000; population 15.776,000:
13,700
8.8
Suburban Counties
938 agencies; population 38,769,000:
7,124
4.0
Rural Counties
1,662 agencies; population 17.837.000:
3.987
7.2
Suburban Area'
4,948 agencies; population 91,095.000:
34,104
Percent^
5.5
' Includes all offenses except trafTic and neglect cases.
' Because of rounding, the percentages may not add to total.
' Includes suburban city and county law enforcement agencies within metropolitan
areas. Excludes central cities. Suburban cities and counties are included in other groups.
282
SECTION V
New Perspectives On
UCR Data
The UCR Program collects data on elements relating to
crime and criminal activity in order to provide informa-
tion on a "range" of criminal justice issues. While the
ultimate "range" of UCR information is unknown, experi-
ence has shown it is much broader than it appears on the
surface. The wider the "range" of information can be
made, the greater is the utility of the UCR Program. A way
to broaden the "range" (and thus increase the value of
UCR) is to unveil "hidden" information through the use of
analytic techniques.
In this section, burglary and automobile theft data were
chosen to demonstrate the types of latent information that
become available through analytic models. For burglary,
the percents of households being burglarized are examined
in terms of the lapse of time and the multiplicity of
burglary victimizations. For example, the results show that
nationwide one of three households will be burglarized at
least once over a period of 20 years.
Automobile theft is viewed from two perspectives; its
probability in terms of the number of automobiles owned
(by a family or by an individual) and in terms of the
duration of ownership. In contrast to residential burglary
findings, less than 10 percent of the one-automobile
owners will experience automobile theft(s) during a dec-
ade.
The computation of such data is only possible through
the application of analytical models to raw UCR data in
conjunction with data from other sources. Once derived,
however, the "hidden" information lends a new dimension
in the measurement of crime prevalence.
Analytic methods require certain simplifications with
respect to how things work, function, or relate in the real
world. These simplifications, called assumptions, are dis-
cussed in detail at the end of this study. In general,
although no household is identical to another in terms of
the probability of being burglarized, this model assumed
the probability of residential burglary to be homogeneous
(uniform) and independent for all households in the area
(region. Nation, etc.). Similarly for auto theft, the likeli-
hood of a car being stolen is considered uniform and
independent for all types. These assumptions allow assess-
ments of the long-term likelihood of residential burglary
and auto theft at the regional and national levels.
Percent of Households Experiencing Residential
Burglary
The estimated number of reported residential burglaries
was 2,088,343 for the Nation during the year 1991. The
estimated number of households for the latest available
year (1991) was 104,592,000.' Therefore, nationwide, the
residential burglary rate is computed to be 20.0 per 1,000
households. For simplicity, the residential burglary rate per
1,000 households will be referred to as the burglary rate.
The following table offers the basis of computation for
regional burglary rates.
Table 5.1
Residential Burglary Rates, Region,
United States, 1991
Region
Number of
Residential
Burglaries
Number of
Households
Burglary
Rates Per
1,000 Households
Northeast
Midwest
South
West
345.974
420.886
865.403
456.080
21,093,000
24,987,000
36,984,000
21,528,000
16.4
16.8
23.4
21.2
U.S.
2,088,343
104,592,000
20.0
To view these rates from a different perspective, they
were applied in a mathematical formula^ to compute the
percentages of households experiencing one or more resi-
dential burglaries.^ Since the 1991 experience was assumed
to hold steady throughout the time interval, the results
demonstrate the likelihood of household burglary over
time if the current rates held steady throughout the
timespan. They do not predict future experiences.
283
CHART 5.1
RESIDENTIAL BURGLARY RATES REGION, UNITED STATES,
1991
Percent
40
0 2 4 6 8 10 12 14 16 18 20
LAPSE OF TIME (YEARS)
CHART 5.2
PERCENT OF HOUSEHOLDS EXPERIENCING at LEAST ONE
BURGLARY, RATE AND TIME LAPSE, UNITED STATES
Percent
100
80
I
60
40
20
0
0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0
284 RESIDENTIAL BURGLARY RATE PER 1 ,000 HOUSEHOLDS
In Table 5.2. a household is counted as victimized if at
least one burglary was experienced in a prescribed time-
frame. For example, in the Southern Region, which experi-
ences the highest residential burglary rate of 23.4 per 1,000
households, nearly 4 out of 10 households (37.5 percent)
are victimized in a 20-year span.
Table 5.2
Percent of Households Experiencing
At Least One Burglary,
Region and Time Lapse,
United States
Time Lapse (Years)
Region
1
5
10
15
20
Northeast
Midwest
South
West
1.6%
1.7
2.3
2.1
7.9%
8.1
11.1
10.1
15.2%
15.5
20.9
19.1
21.9%
22.4
29.7
27.3
28.0%
28.7
37.5
34.6
U.S.
2.0%
9.5%
18.1%
25.9%
33.0%
Chart 5.1 depicts graphically the percent of households
in the areas that experience at least one residential burglary
in the prescribed lapse of time.'' This exhibit is an
extension of Table 5.2 in that percent figures are expressed
for all timeframes incrementally up to 20 years, instead of
prescribed 1, 5, 10, 15, and 20 years as in Table 5.2. As a
case in point, during a 12-year interval, approximately 25
percent of the households in the Northeastern Region will
experience burglary.
Chart 5.2 describes graphically the percent of households
that experience at least one residential burglary in terms of
the burglary rate (under the three options of time lapse; 5
years, 10 years, and 20 years).' This exhibit is also an
expansion of Table 5.2 in that percent figures are depicted
for any burglary rate ranging from zero to 100 residential
burglaries (per 1,000 households). If an area experienced a
burglary rate of 50 per 1,000 households, for instance, the
graph shows that 40 percent of the households in that area
are burglarized at least once during the 10-year period.
The percent of households experiencing two or more
residential burglaries in a given interval of time' is shown
in Table 5.3 below. As can be seen, the likelihood of
multiple victimizations is much lower.
Table 5.3
Percent of Households Experiencing
Two or More Burglaries,
Region and Time Lapse,
United States
Time Lapse (Years)
Region
1
5
10
15
20
Northeast
Midwest
South
West
.01%
.01
.03
.02
.3%
.3
.6
.5
1.2%
1.3
2.4
2.0
2.6%
2.7
4.9
4.1
4.4%
4.6
8.1
6.8
U.S.
.02%
.5%
1.8%
3.7%
6.2%
Chart 5.3 portrays the percent of households for each
region that experience two or more residential burglaries in
terms of the lapse of time.' It is a counterpart of Chart 5.1
for at least two-burglary situations.
Again, Chart 5.4 gives a general perspective of burglary
victimization as in Chart 5.2. It describes the percent of
households experiencing at least two residential burgla-
ries.* It should be observed that the graphs in Chart 5.3 and
5.4 are substantially lower than those in Chart 5. 1 and 5.2,
respectively.
Percent of Automobile Owners Experiencing Automobile
Theft
Nationwide, there were 1 ,324,405 estimated automobile
thefts in 1991 .' The number of registered automobiles in
the Nation was 142,955,623.'" Therefore, the automobile
theft rate per 1 ,000 registered automobiles is computed to
be 9.3 in 1991 for the Nation. Regional data are set forth in
Table 5.4.
285
CHART 5.3
PERCENT OF HOUSEHOLDS EXPERIENCING TWO or MORE
BURGLARIES, REGIONAL TIME LAPSE, UNITED STATES
0 2 4 6 8 10 12 14 16 18 20
LAPSE OF TIME (YEARS)
CHART 5.4
PERCENT OF HOUSEHOLDS EXPERIENCING TWO OR
Percent MORE BURGLARIES, RATE AND TIME LAPSE
70
286
0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0
RESIDENTIAL BURGI^RY RATE PER 1 ,000 HOUSEHOLDS
Table 5.4
Automobile Theft Rates,
Region,
United States. 1991
Region
Number of
.Automobile
Thefts
Number of
Registered
.Automobiles
Rale per 1,000
Registered
Automobiles
Northeast
Midwest
South
West
376.341
254.022
390.586
303.456
27.899.176
35.260.022
48.808.855
30.987.570
13.5
7.2
8.0
9.8
U.S.
1.324.405
142.955.623
9.3
With respect to vehicle theft, this model addressed only
automobile thefts; other types of UCR vehicle thefts such
as trucks, buses, etc., were not included. As stated earlier,
the vehicle theft rate differs in reality by the model/make
of the vehicle, year of production, frequency of use, area of
use, parking location, antitheft features of the vehicle, etc.,
the likelihood of theft was assumed uniform and indepen-
dent for all automobiles in these computations. Again, the
1991 rates were assumed to extend through the entire
timeframe under consideration.
A one-auto owner means an owner that possesses one
automobile throughout the years under study. This implies
that a one-auto owner immediately finds a replacement for
an automobile stolen, so that the owner continues to
remain as a one-auto owner. Since a replacement automo-
bile (after a theft) can be stolen, a one-auto owner may
experience multiple incidents of automobile thefts during a
given interval of time. Two-auto and three-auto owners are
similarly defined.
Tables 5.5, 5.6, and 5.7 were generated by expressing the
percent of one-auto (two-auto, three-auto) owners to expe-
rience at least one automobile theft in a prescribed interval
of time." The Northeastern Region has the highest auto-
mobile theft chance among the four regions. Nationally, a
one-auto owner has an 8.8-percent chance of experiencing
at least one auto theft during a 10-year interval (Table 5.5).
Similarly, a two-auto and three-auto owner has a 16.8-
percent and a 24. 1 -percent chance, respectively, in the
same timeframe (Tables 5.6 and 5.7).
Table 5.5
Percent of One-Auto Owners
Experiencing One or More Automobile Thefts,
Region and Time Lapse,
United States
Time Lapse (Years)
Region
2
4
6
8
10
Northeast
Midwest
South
West
2.7%
1.4
1.6
1.9
5.3%
2.8
3.1
3.8
7.8%
4.2
4,7
5,7
10,2%
5.6
6.2
7,5
12.6%
6.9
7.7
9.3
U.S.
1.8%
3.6%
5,4%
7.1%
8.8%
Table 5.6
Percent of Two-Auto Owners
Experiencing One or More Automobile Thefts,
Region and Time Lapse,
United States
Time Lapse (Years)
Region
2
4
6
8
10
Northeast
Midwest
South
West
5,.3%
2,8
3,1
3,8
10.2%
5.6
6.2
7.5
15.0%
8,3
9,2
11,1
19,4%
10,9
12,0
14,5
23,7%
13,4
14,8
17,8
U,S,
3.6%
7.1%
10.5%
13,7%
16,8%
Table 5.7
Percent of Three-Auto Owners
Experiencing One or More Automobile Thefts,
Region and Time Lapse,
United States
Time Lapse (Years)
Region
2
4
6
8
10
Northeast
Midwest
South
West
7,8%
4,2
4,7
5,7
15.0%
8.3
9.2
11.1
21.6%
12.2
13,4
16,2
27,8%
15,9
17,5
21,0
33,3%
19,4
21,3
25.5
U,S,
5.3%
10.5%
15,3%
19,8%
24.1%
Assumptions of the Analytical Model
The following assumptions were made with respect to
the occurrences of residential burglary and automobile
theft. '2
1. The offenses occur independently over non-overlap-
ping time intervals.
287
2. The probability for a household to experience a given
number of residential burglaries or an owner's car to be
stolen during a time interval depends on the length of the
interval, but not on the location of the interval. For
example, frequency variations arising from season, day of
the week, time of the day, etc., were not taken into
consideration in this model. In particular, the 1991 burgla-
ry and auto theft rates were assumed to remain constant
throughout the years under consideration.
3. The probability for a household to experience two or
more residential burglaries or an owner to have two or
more autos stolen in a short interval of time is small.
4. The probability for a household to experience one
residential burglary or an owner to have one vehicle stolen
in a short interval of time is approximately proportional to
the lapse of time. For example, the probability of experi-
encing one residential burglary in 10 hours is approximate-
ly twice the probability of experiencing the same in 5
hours.
NOTES
1. Estimated by the U.S. Bureau of the Census.
2. For a household in the area whose burglary rate is B, the
probability of experiencing N residential burglaries in
the time interval of T years is Poisson distributed as
Prob(N:T.B)=-eBT^^
where N=0,l,2,....
3. Under the notation of 3, the probability is a cumula-
tive exponential distribution: P(N>1;T,B)=1— e"BT, for
a household.
4. Represents a cumulative exponential distribution in T
for each region.
5. Represents a cumulative exponential distribution in B
for a given lapse of time.
6. The probability is given by P(N>2;T,B)=
l-(l+BT)e-BT.
7. Represents a cumulative gamma distribution in T for
each region.
8. Represents a cumulative gamma distribution in B for a
given lapse of time.
9. Excludes UCR "trucks and buses" and "other vehicle"
categories.
10. Estimated by the Federal Highway Administration.
11. The probability is given by P(N>;T,V,K)=l-e-TVK,
where V is the automobile theft rate (per registered
automobile) and K is the number of automobiles that
an owner possesses (e.g., K=l means a one- vehicle
owner).
12. Referred to as the Poisson postulates.
288
i
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, 1992. Considering full-time civilians, the
overall law enforcement employee rate was 3.1 per 1,000
inhabitants according to 13,032 city, county, and state
police agencies reporting in 1992. These agencies collec-
tively offered law enforcement service to a population of
over 241 million, employing 544,309 officers and 204,521
civilians. A listing of reported full-time law enforcement
officers and civilian employees by state is shown in Table
77.
Varying demographic and other jurisdictional character-
istics 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 diff'erent from those of a city
whose population is relatively stable. Similarly, a small
community situated between two large cities may require a
greater number of law enforcement 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
responsibilities, care should be used when attempting any
comparison of law enforcement employee rates. The rates
presented in the following tables represent national aver-
ages; they should be viewed as guides or indicators, not as
recommended or desirable police strengths. Adequate
personnel for a specific locale can be determined only after
careful study and analysis of the various conditions affect-
ing service requirements in that jurisdiction.
The law enforcement employee average for all cities
nationwide in 1992 was 2.8 per 1,000 inhabitants. The
Nation's smallest cities, those with fewer than 10,000
inhabitants, employed 3.4 employees per 1,000 population,
while for the largest cities (over 250,000 population) the
rate was 3.6 per 1,000. Cities with populations between
10,000 and 249,999 registered lesser rates ranging from 2.2
to 2.4 employees per 1,000 inhabitants. Rural and subur-
ban counties averaged full-time law enforcement employee
rates of 3.9 and 3.6 per 1,000 population, respectively. (See
Table 70.)
Regionally, the law enforcement employee rate was
highest in the South with 3.2, 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 population
grouping, the rates ranged from 1.7 for cities with popula-
tions of 25,000 to 99,999 to 2.8 in cities with 250,000 or
more inhabitants. Suburban county law enforcement agen-
cies averaged 2.3 officers per 1,000 population, while
agencies in rural counties averaged 2.5. (See Table 71.)
Geographically, the highest rate of officers to population
was recorded in the Southern States with 2.5 officers per
1,000 inhabitants. Following were the Northeastern States
with 2.4, the Midwestern States with 2.1, and the Western
States with 1.7.
Males comprised 91 percent of all sworn employees
nationally. Ninety-three percent of the officers in rural
counties, 91 percent of those in cities, and 89 percent in
suburban counties were males.
Civilian Employees
Civilians made up 27 percent of the total United States
law enforcement employee force in 1992. They represented
22 percent of the police employees in cities, 34 percent of
those in rural counties, and 36 percent of the suburban
county law enforcement strength. Thirty-six percent of all
civilian employees were males.
Law Enforcement Officers Killed and Assaulted
Sixty-one law enforcement officers were feloniously slain
in the line of duty during 1992, 10 fewer than in 1991.
Accidents occurring while performing official duties
claimed the lives of an additional 66 officers in 1992. The
1992 total for officers accidentally killed was 14 higher
than the 1991 total of 52.
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 Employees', Number and Rate per 1,000 Inhabitants, Geographic Region and Division by Population Group,
October 31, 1992
[1992 estimated population)
Geographic region/division
Total
(9,943 cities;
population
161,851,000)
Population group
Group I
(63 cities,
250,000
and over,
population
45,955,000)
Group I!
(128 cities,
100,000 to
249.999;
population
19,193,000)
Group III
(335 cities,
50,000 to
99,999;
population
23,180,000)
Group IV
(680 cities,
25,000 to
49.999;
population
23,596,000)
Group V
(1,655 cities,
10.000 to
24,999;
population
26,033,000)
Group VI
(7,082 cities
under
10.000;
population
23,895,000)
TOTAL: 9,943 ciHes; population 161,851,000:
Number of employees
Average number of employees per 1,000 inhabitants
New England: 710 cities; population 11,778,000:
Number of employees
Average number of employees per 1,000 inhabitants
Middle Atlantic: 1,713 cities; population 28,844,000:
Number of employees —
Average number of employees per 1,000 inhabitants
NORTHEAST: 2,423 cities; population 40.622,000:
Number of employees
Average numt>er of employees per 1,000 inhabitants ..
East North Central: 1,906 cities; population 29,648,000:
Number of employees
Average number of employees per 1,000 inhabitants
West North Central: 858 cities; population 11,026,000:
Number of employees
Average number of employees per 1,000 inhabitants
MIDWEST: 2,764 cities; papulation 40,674,000:
Number of employees
Average number of employees per 1,000 inhabitants ..
South Atlantic: 1,715 cities; population 18,704,000:
Number of employees
Average number of employees per 1,000 inhabitants
East South Central: 724 cities; population 7,708,000:
Number of employees
Average number of employees per 1,000 inhabitants
West South Central: 1,029 cities; population 17,563,000:
Number of employees
Average number of employees per 1,000 inhabitants
SOUTH: 3,468 cities; population 43,975,000:
Number of employees
Average number of employees per 1,000 inhabitants ..
Mountain: 553 cities; population 9,713,000:
Number of employees
Average number of employees per 1,000 inhabitants
PaciHc: 735 cities; population 26,868,000:
Number of employees
Average number of employees per 1,000 inhabitants
453,346
2.8
WEST: 1,288 cities; population 36,580,000:
Number of employees
Average number of employees per 1,000 inhabitants
28,670
2.4
91,793
3.2
120,463
3.0
78.787
2.7
25.348
2.3
104,135
2.6
70,251
3.8
23,411
3.0
47,355
2.7
141,017
3.2
24,559
2.5
63,172
2.4
87,731
2.4
163,697
3.6
2,586
4.5
48,409
4.9
50,995
4.8
28.096
4.1
6.950
3.2
35,046
3.9
17,837
4.3
4.894
2.9
18.187
2.8
40,918
3.3
9.620
2.7
27,118
2.6
36,738
2.6
46,319
2.4
51,586
2.2
52,093
2.2
3.812
3.1
4,633
3.1
8,445
3.1
5,558
2.3
2,681
2.1
8,239
2.2
9,578
3.0
3,480
2.7
4,390
2.2
17,448
2.7
!,586
2.3
9,601
1.9
12,187
2.0
5,569
2.3
6,549
2.4
12,118
2.3
9.795
2.1
2.290
1.6
12,085
2.0
8,727
3.2
1,031
2.8
5. 112
2.3
14,870
2,8
3,055
1.8
9.458
2.0
12,513
1,9
5,700
2.1
9,440
2.4
15,140
2.3
9.685
2.0
3.286
1.7
12,971
1.9
7,820
3.0
2.619
2.6
3.770
2.2
14,209
2.7
2.649
2.1
7.124
2.1
9,773
2.1
58,783
2.3
6,248
2.1
11,952
2.1
18,200
2.1
12.428
2.1
4.390
2.0
16,818
2.1
8,313
3.2
4,150
2.7
5.847
2.3
18,310
2.7
1,837
2.3
3,618
2.1
5,455
2.2
80,868
3.4
4.755
2.6
10,810
2.2
15,565
2J
13,225
2.8
5,751
2.6
18,976
2.7
17.975
5.4
7,237
4.1
10,049
4.0
35,262
4.6
4,812
3.8
6,253
4.5
11,065
4.2
Suburban and County
Suburban': 6,251 agencies; population 101,708,000:
Number of employees
Average number of employees per 1.000 mhabitants
315.967
3.1
County: 3,089 agencies, population 79,668,000:
Number of employees
Average number of employees per 1.000 inhabitants
295.484
3.7
'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 rales were calculated before rounding.
290
Tabic 71. — Full-time Law Enforcement Officers, Number and Rale per 1,000 Inhabitants, Geographic Region and Division by Population Croup,
October 31, 1992
[1992 eslimalcd population]
Geographic region/division
Total
(9,943 cities;
population
161,851,000)
Population group
Group I
(63 cities.
250,000
and over;
population
45,955,000)
Group II
(128 cities,
100,000 to
249.999;
population
19,193,000)
Group 111
(335 cities,
50,000 to
99,999;
population
23,180,000)
Group IV
(680 cities,
25,000 to
49,999;
population
23,596,000)
Group V
(1,655 cities,
10,000 to
24,999;
population
26,033,000)
Group VI
(7,082 cities
under
10,000;
population
23,895,000)
TOTAL: 9.943 cities; population 161.851,000:
Nvmtwr of officers
Avenge namber of officers per 1,000 inhabitants
New Englaad: 710 cities; population 11.778,000:
Number of olTicers
Average number of ofTicers per l,(XK) inhabitants
Middle Atlantic: 1,713 cities; population 28,844.000:
Number of officers
Average number of oflTicers per 1 ,000 inhabitants
NORTHEAST: 2,423 cities; population 40,622.000:
Nanber of officers
Average nnmber of officers per 1,000 inhabitants
East Nonb Central: 1,906 cities; population 29.648.000:
Number of officers
Average number of officers per 1,000 inhabitants ...
West North Central: 858 cities; population 11.026,000:
Number of ofTicers
Average number of officers pier 1.000 inhabitants
MIDWEST: 2,764 cities; population 40,674.000:
Nanber of oflicers
Average number of ofTicers per 1,000 inhabitants
SoMh Atlantic 1.715 cities; population 18,704,000:
Number of ofTicers
Average number of officers per 1 ,000 inhabitants
East Sooth Central: 724 cities; population 7,708,000:
Number of officers
Average number of officers per I, OCX) inhabitants
West Sooth Central: 1,029 cities; population 17,563,000:
Number of ofTicers
Average number of officers per 1,000 inhabitants
SOUTH: 3,468 cities; population 43,975,000:
Nnaibcr of ofTicers
Average anmber of officers per 1,000 inhabitants .
Mooataia: 553 cities; population 9,713,000:
Number of officers
Average number of officers per 1.000 inhabitants
PadTic 735 cities; population 26,868,000:
Number of officers
Average number of officers per 1,000 inhabitants
WEST: 1,288 cities; population 36,580,000:
Namber of ofTicers
Average number of officers per 1.000 inhabitants .
352,963
2.2
23.865
2.0
74.410
2.6
98,275
2.4
64.054
2.2
19,709
1.8
83,763
2.1
54,272
2.9
18,154
2.4
35,500
2.0
107.926
2.5
17,958
45,041
1.1
62,999
1.7
126,975
2.8
1.942
3.4
37,530
3.8
39,472
3.7
23,732
3.5
5.104
2.4
28,836
3.2
14,029
3.4
3,800
2.2
13,767
2.1
31,596
2.5
7,103
2.0
19,968
1.9
27.071
1.9
35.270
1.8
39.680
1.7
40.937
1.7
3,184
2.6
3,983
2.7
7,167
2.6
4.518
1.8
2.030
1.6
6.548
1.8
7.229
2.2
2.572
2.0
3,391
1.7
13,192
2.0
1.860
1.7
6.503
1.3
8.363
1.3
4.756
1.9
5,493
2.0
10,249
2,0
7,729
1.7
1,842
1.3
9,571
1.6
6,579
2.4
804
2.2
3,875
1.7
11.258
2.1
2.224
1.3
6.378
1.3
8.602
1.3
4,942
1.8
7,970
2.0
12,912
1.9
7.625
1.5
2.548
1.3
10,173
1.5
5,992
2.3
2.031
2.0
2,832
1.7
10,855
2.0
1.928
1.5
5,069
1.5
6.997
1.5
47,073
1.8
5,281
1.8
10,173
1.8
15,454
1.8
9,888
1.7
3,469
1.6
13J57
1.6
6,473
2.5
3,309
2.1
4,496
1.8
14,278
2.1
1,334
1.7
2,650
1.5
3,984
1.6
63,028
2.6
3,760
2.1
9.261
1.9
13,021
1.9
10.562
2.2
4,716
2.2
15,278
2.2
13.970
4.2
5.638
3.2
7.139
2.9
26,747
33
3.509
2.8
4,473
3.2
7,982
3.0
Suburban and County
Saburbaa': 6,251 agencies; population 101,708,000:
Number of officers
Average number of officers per 1.000 inhabitants
221.651
2.2
County: 3.089 agencies; population 79.668,000:
Number of officers
Average number of officers per l.(X)0 inhabitants
191.346
2.4
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. Population
figures were rounded to the nearest thousand. All rates were calculated before rounding.
291
Table 72.— Full-time Law Enforcement Employees, October 31, 1992
(Range in rate per 1,000 inhabitants]
Rate range
Total'
(9,310 cities,
population
161,851,000)
Group I (63
cities, 250,000
and over;
population
45,955,000)
Group 11 (128
cities, 100,000
to 249.999;
population
19,193,000)
Group III (335
cities, 50,000
to 99,999;
population
23.180,000)
Group IV (680
cities, 25,000
to 49,999;
population
23,596,000)
Group V (1,655
cities, 10,000
to 24,999;
population
26,033,000)
Group VI
(6.449 cities
under 10,000;
population
23,895,000)
1- 5
Number
Percent
Number
Percent
158
1.7
549
5.9
1
.3
2
.6
14
.8
58
3.5
143
15
2.2
2 2
.6-1,0
474
7.3
1 1-1 5
Number
Percent
Number
Percent
1,220
13.1
1,970
21.2
5
3.9
45
35.2
33
9.9
124
37.0
95
14.0
219
32.2
186
11.2
444
26.8
901
14 0
1.6-2.0
11
17.5
1,127
17.5
2.1-2.5
Number
Percent
1,785
19.2
12
19.0
36
28.1
98
29.3
189
27.8
458
27.7
992
15.4
2.6-3.0
Number
Percent
1,236
13.3
16
25.4
21
16.4
42
12.5
90
13.2
247
14.9
820
12.7
3.1-3.5
Number
Percent
761
8.2
9
14.3
12
9.4
18
5.4
33
4.8
130
7.9
559
8.7
3.6-4.0
Number
Percent
530
5.7
5
7.9
7
5.5
6
1.8
22
3.2
74
4.5
416
6.5
4.1-4.5
Number
Percent
290
3.1
5
7.9
1
.8
8
2.4
10
1.5
26
1.6
240
3.7
4.6-5.0
Number
Percent
203
2.2
1
1.6
1
.8
2
.6
3
.4
5
.3
191
3.0
Number
Percent
608
6.5
9,310
100.0
4
6.3
63
100.0
1
.3
335
100.0
4
.6
680
100.0
13
.8
1,655
100.0
586
9.0
Total
Percent'
128
100.0
6,449
100.0
table.
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
^Because of rounding, percentages may not add to totals.
292
Table 73.— Ljw Enforcement OHicers, October 31, 1992
(Range in rate per 1.000 inhabitants)
Rale range
Total'
(9.310 cities;
population
161.851.000)
Group 1 (63
cities, 250,000
and over;
population
45,955.000)
Group II (128
cities, 100.000
to 249,999;
population
19,193,000)
Group III (335
cities. 50,000
to 99.999;
population
23.180.000)
Group IV (680
cities, 25,000
to 49.999;
population
23,596,000)
Group V (1,655
cities, 10,000
to 24,999;
population
26,033,000)
Group VI
(6.449 cities
under 10.000;
population
23.895.000)
.1-.5
Number
Percent
192
2.1
2
.6
2
.3
18
1.1
170
2.6
.6-1.0
Number
Percent
759
8.2
4
3.1
19
5.7
SS
8.1
lOS
6.3
576
8.9
1.1-1.5
Number
Percent
2.195
23.6
10
15.9
47
36.7
129
38.5
243
35.7
465
28.1
1,301
20.2
1.5-2.0
Number
Percent
2,469
26.5
18
28.6
39
30.5
113
33.7
225
33.1
586
35.4
1,488
23.1
2.1-2.5
Number
Percent
1,524
16.4
14
22.2
20
15.6
46
13.7
95
14.0
291
17.6
1,058
16.4
2.6-3.0
Number
Percent
811
8.7
9
14.3
13
10.2
14
4.2
39
5.7
118
7.1
618
9.6
3.1-3.5
Number
Percent
489
5.3
3
4.8
4
3.1
8
2.4
11
1.6
48
2.9
415
6.4
3.6-4.0
Number
Percent
261
2.8
7
11.1
1
.8
3
.9
7
1.0
13
.8
230
3.6
4,1-4.5
Number
Percent
159
1.7
1.6
1
.3
1
.1
5
.3
151
2.3
4.6-5.0
Number
Percent
105
1.1
4
.2
2
.1
1.655
100.0
101
1.6
341
5.3
6.449
100.0
5.1 and over
Number
Percent
346
3.7
9.310
100.0
1
1.6
63
100.0
2
.3
680
100.0
Total
Percent'
128
100.0
335
100.0
'Because of rounding, percentages may not add to totals.
i Enforcement Officer tables because small agencies with no resident population are excluded from this table.
293
Table 74.— Law Enforcement Employees, Percent Male and Female, October 31, 1992
(1992 estlmaled population)
Population group
TOTAL AGENCIES: 13,032 agencies;
populalion 241.519,000:
TOTAL CITIES: 9,943 cities;
papulation 161,851,000:
GROUP I
63 cities, 250.000 and over;
population 45.955.000:
8 cities. 1.000.000 and over;
population 20.365.000:
17 cities. 500.000 to 999.999;
population 11.694.000;
38 cities. 250.000 to 499.999;
population 13.897.000:
GROUP II
128 cities. 100.000 to 249.999;
population 19.193.000:
GROUP III
335 cities. 50.000 to 99.999;
population 23.180.000:
GROUP IV
680 cities. 25.000 to 49.999;
population 23.596.000:
GROUP V
1,655 cities, 10,000 to 24,999;
population 26,033.000:
GROUP VI
7.082 cities under 10.000;
population 23.895.000:
SUBURBAN COUNTIES
842 agencies; population 51.000.000: ..
RURAL COUNTIES
2.247 agencies; population 28.667.000:
Total police employees
Total
748,830
453,346
SUBURBAN AREA'
6.251 agencies; population 101.708.000:
163.697
86.620
38.185
38.892
46,319
51.586
52.093
58.783
80.868
184.938
110,546
Percent
male
76.0
77.5
315,967
73.9
73.1
75,7
74.0
76.0
77.7
81.3
81.2
72.7
75.5
Percent
female
24.0
22.5
76.1
26.1
26.9
24.3
26,0
24.0
22.3
18.7
18.8
27.3
24.5
Police officers (sworn)
Total
544,309
352,963
23.9
126.975
67,351
29,890
29,734
35,270
39,680
47,073
63,028
118.553
72,793
221,651
Percent
male
90.9
91.2
86.5
85.3
87.9
87.5
91.3
Percent
female
13.5
14.7
12.1
12.0
95.1
93.9
88.5
93.2
91.2
Civilian employees
Total
204,521
100,383
36.722
19,269
8,295
9,158
4.9
6.1
11.5
6.8
11,710
17,840
66,385
37,753
Percent
male
36.5
29.3
30.2
30.3
31.7
28.8
94.316
25.2
26.0
36.1
44.5
41.5
Percent
female
63.5
70.7
40.5
69.8
69.7
68.3
71.2
74.8
74.8
74.0
63.9
55.5
58.5
59.5
■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, 1992
[1992 estimated population]
Population group
TOTAL AGENCIES: 13,032 agencies;
populalion 241,519,000:
TOTAL CITIES: 9,943 cities;
populalion 161,851,000: ..
GROUP 1
63 cities, 250,000 and over;
population 45.955.000:
8 cities. 1.000.000 and over;
population 20,365.000:
17 cities, 500,000 to 999,999;
population 11,694,000;
38 cities, 250.000 !o 499,999;
populalion 13,897.000;
GROUP II
128 cities. 100,000 to 249,999;
population 19.193.000:
GROUP III
335 cities. 50.000 to 99.999;
population 23,180.000;
Percent
civilian
employees
27.3
22.1
22.4
22.2
21.7
23.5
23.9
23.1
Population group
GROUP IV
680 cities. 25,000 to 49,999;
population 23.596.000: ..
GROUP V
1,655 cities, 10.000 to 24.999;
population 26,033,000: ....
GROUP VI
7,082 cities under 10.000;
population 23,895.000;
SUBURBAN COUNTIES
842 agencies;
population 51.000,000:
RURAL COUNTIES
2.247 agencies;
population 28,667.000:
SUBURBAN AREA'
6,251 agencies;
population 101.708.000:
Percent
civilian
employees
21.4
19.9
22.1
35.9
34.2
29.81
'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, 1992
Slate
Total
ALABAMA:
Depanmenl of Public
Safely
Other Stale agencies . . .
ALASKA:
Stale Police
ARIZONA:
Depanment of Public
Safety
ARKANSAS:
Stale Police
CALIFORNIA:
Highway Palrol
Other stale agencies . . .
COLORADO:
Stale Palrol
Olher stale agencies ...
CONNECTICUT:
State Police
DELAWARE:
State Police
Olher state agencies . . .
FLORIDA:
Highway Palrol
Olher slate agencies ...
GEORGIA:
Department of Public
Safely
Olher state agencies ...
IDAHO:
State Police
ILLINOIS:
Stale Police
Other state agencies ...
INDIANA:
State Police
IOWA:
Depanment of Public
Safety
KANSAS:
Kansas Highway Palrol
KENTUCKY:
Stale Police
LOUISIANA:
Slate Police
MAINE:
State Police
Olher slate agencies ...
MARYLAND:
Stale Police
Olher stale agencies . . .
MASSACHUSETTS:
Slale Police
MICHIGAN:
Slate Police
MINNESOTA:
Slate Palrol
MISSISSIPPI:
Highway Safety Patrol
MISSOURI:
Slale Highway Palrol ...
Number of law enforcement employees
Total
87.974
1.256
31
521
1,359
687
8,501
388
779
184
1.428
677
138
2,078
2,695
1,775
436
225
3,277
428
1.723
766
815
1,605
1,033
460
III
2,229
1,154
2,340
2,903
688
831
1,810
Officers
Male
55.757
601
23
324
749
473
5,468
282
545
87
914
473
96
1,440
1,182
738
328
170
1,833
323
1,037
526
542
901
675
310
37
1,457
680
1,983
1,810
476
485
848
Female
3,310
7
I
16
77
18
501
32
22
15
59
28
9
143
109
144
27
48
21
60
17
8
13
3
130
130
137
171
18
8
15
Civilians
Male
11,703
221
4
46
261
63
1,016
24
50
31
199
Female
166
560
276
13
13
486
29
268
94
104
360
115
73
34
300
187
124
437
131
99
554
17,204
427
3
135
272
133
1,516
50
162
51
256
109
21
329
844
742
35
37
814
49
370
125
109
327
235
64
37
342
157
96
485
63
239
393
Stale
MONTANA:
Highway Patrol
Other state agencies
NEBRASKA:
State Palrol
NEVADA:
Highway Palrol
NEW HAMPSHIRE:
Slale Police
NEW JERSEY:
State Police . . .
NEW MEXICO:
Slate Police . . .
NEW YORK:
State Police
NORTH CAROLINA:
Highway Palrol
Other slale agencies . .
NORTH DAKOTA:
Highway Palrol
OHIO:
Slate Highway Palrol .
OKLAHOMA:
Depanmenl of Public
Safely
OREGON:
Slale Police
Olher slale agencies . .
PENNSYLVANIA:
Slale Police
Olher state agencies . .
RHODE ISLAND:
Slale Police
SOUTH CAROLINA:
Highway Palrol
Other slale agencies . .
SOUTH DAKOTA:
Highway Palrol
TENNESSEE:
Department of Public
Safety
TEXAS:
Depanmenl of Public
Safely
UTAH:
Highway Palrol
VERMONT:
Slale Police
VIRGINIA:
Slale Police
Olher slale agencies ..
WASHINGTON:
Slale Palrol
WEST VIRGINIA:
Slale Police
Olher state agencies . .
WISCONSIN:
Slate Palrol
Olher slate agencies . .
WYOMING:
Highway Patrol
Number of law enforcement employees
Total
260
16
637
499
335
3,733
855
4,719
1,598
1,759
190
2,243
1,613
1,008
56
5,340
198
232
1,208
997
212
1,566
5,635
393
424
2,279
691
1,918
798
121
662
250
Officers
Mate
198
190
13
475
308
228
2,505
384
3,756
1,250
1,193
121
1,219
801
759
36
4,004
154
975
704
145
734
2,667
344
271
1,626
495
985
512
114
429
212
151
Female
13
20
22
18
62
5
276
9
103
2
60
132
17
13
23
Civilians
Male
19
58
93
35
523
153
246
199
145
40
431
508
43
596
5
23
58
198
67
798
19
8
12
57
41
205
35
71
40
456
14
87
60
96
14
10
14
NOTE: The responsibJlilies of the vanous slale police, highway palrol. and departments of public safety agencies range from full law enforcement duties to traffic patrol only. Any comparison
of these data from state to state must take these factors and those on page v mto consideration.
295
Table 77.— Full-time Law Enforcement Employees, State, 1992
[1992 estimated population]
Stale
f
Total
■mployees
OfTii
Male
ers
Female
Civili
Male
ans
Female
Total
State employees
Officers
Male Female
Civilians |
Male Female
Alabama: 297 agencies;
Pnniilfltion 4 121 000
12,002
1,375
12,844
5,693
88,177
10,895
8,810
1,974
5,207
52,939
25,193
3,390
2,746
38,419
13,395
6,033
7,836
8,802
10,092
2,583
16.040
16,555
24,880
9,290
4,450
1 3,929
7.753
814
6.872
3,593
54,330
7,045
6,726
1,470
3,438
27,837
15,968
2,522
1,817
26,543
8,477
4,171
5,271
6,172
7,033
1,896
11,108
13,390
16,869
6,232
2,896
9,059
728
59
649
193
5.995
934
425
113
986
3,256
2,254
192
197
2,975
691
205
479
582
1,515
82
1,380
798
1,955
410
161
830
1.275
105
2.449
796
8.842
761
517
133
242
9,086
2,685
197
169
3,233
1,772
524
713
845
504
274
1,318
891
2,505
1,016
553
1,777
2,246
397
2,874
l.lll
19,010
2,155
1,142
258
541
12,760
4,286
479
563
5,668
2,455
1,133
1,373
1,203
1.040
331
2.234
1.476
3,551
1,632
840
2,263
Montana: 1 1 2 agencies;
2.190
3,782
4,270
2,502
33,707
5,037
65,338
21,753
1,334
26,492
9,219
6,193
25,863
2,740
8,245
1,344
14,605
59.748
4,059
1,162
14.035
11,445
3.761
14,588
1,869
1,381
2,569
2,640
1,830
25,607
3,086
45,629
15,003
932
17,982
5,808
4,354
20,293
2,145
5,667
921
9,006
35,089
3,024
802
9,955
7,569
2,551
10,217
1,205
58
188
323
83
1,259
240
5,497
1,641
71
1,658
420
329
1,787
104
503
57
766
3,504
276
47
1.117
553
97
1,034
86
254
259
326
160
2,214
505
4,302
2,070
118
2,539
1,401
266
1,559
235
676
159
2,040
8,546
144
102
680
1,062
538
1,054
172
497
766
981
429
4.627
1,206
9,910
3,039
213
4,313
1,590
1,244
2,224
256
1,399
207
2,793
12,609
615
211
2,283
2,261
575
2,283
406
Alaska; 28 agencies;
Ponnlation 568 000
Nebraska: 159 agencies;
Arizona: 93 agencies;
Nevada: 26 agencies;
Population 1 158,000
Arkansas: 186 agencies;
Pnniil:ifinn 7 '^96 000
New Hampshire: 113 agencies;
Population 929 000
California: 454 agencies;
Pnniilaiion 27 844 000
New Jersey: 533 agencies;
Population 7 547 000
Colorado: 230 agencies;
New Mexico: 97 agencies;
Population 1 545,000
Connecticut: 100 agencies;
New York: 402 agencies;
Population 16 382 000
Delaware: 42 agencies;
North Carolina: 509 agencies;
District of Columbia: 1 agency;
Pnniilaiinn 589 000
North Dakota: 98 agencies;
Florida: 352 agencies;
Ponnlation 13 220 000
Ohio: 502 agencies;
Population 10 793,000
Georgia: 582 agencies;
Oklahoma: 292 agencies;
PoDulation 3 212 000
Hawaii: 5 agencies;
Oregon: 171 agencies;
Population 2 972,000
Idaho: 101 agencies;
Pnniilatinn 1 059 000
Pennsylvania: 908 agencies;
Pnnulation 9 297 000
Illinois: 711 agencies;
Pnniilaiinn 11 591000
Rhode Island: 42 agencies;
Ponulalion 1 000 000
Indiana: 241 agencies;
Pnniilalion 5 596 000
South Carolina: 235 agencies;
Iowa: 224 agencies;
South Dakota: 84 agencies;
Pnnulation 634 000
Kansas: 338 agencies;
PoDulalion 2 447 000
Tennessee: 266 agencies;
Ponulalion 4 925 000
Kentucky: 381 agencies;
Pnniilaiinn 3 728 000
Texas: 873 agencies;
Population 17 650 000
Louisiana: 133 agencies;
Pnnulation 2 776 000
Utah: 1 10 agencies;
Pnnulation 1 800 000
Maine: 137 agencies;
Vermont: 51 agencies;
Ponulalion 570 000
Maryland: 129 agencies;
Pnnnlatinn 4 848 000
Virginia: 263 agencies;
Massachusetts: 302 agencies;
Pnnulation 5 904 000
Washington: 220 agencies;
Population 5 041,000
Michigan: 567 agencies;
West Virginia: 273 agencies;
Pnnulation 1527 000
Minnesota: 276 agencies;
Ponnlation 4 269 000
Wisconsin: 320 agencies;
Population 5 005 000
Mississippi: 113 agencies;
Pnnulation 1 553 000
Wyoming: 67 agencies;
Population 465,000
Missouri: 283 agencies;
PoDulation 5.069.000
296
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992
Cilv
Tolal
police
employees
Total
ofTiccrs
Tolal
civilians
City
Total
police
employees
Total
officers
Total
civilians
ALABAMA
ALABAMA— Continued
15
16
J
29
33
47
9
30
114
23
8
9
10
35
23
23
8S
21
16
3
86
990
9
30
4
5
24
7
2
I
12
9
12
6
8
3
12
4
6
5
18
16
10
16
11
6
3
4
7
53
8
22
31
118
25
6
151
6
7
18
1
49
41
II
16
38
20
9
12
7
98
26
40
17
29
6
19
4
17
6
64
21
16
M
3
76
10
763
227
5
24
4
5
19
4
7
1
8
5
8
3
6
1
8
4
5
4
18
12
6
15
7
1
4
2
1
4
7
37
16
8
20
2
23
8
97
21
17
8
3
3
104
47
4
2
4
3
13
1
5
38
II
30
11
7
4
12
4
33
5
IS
5
9
1?
4
3
76
22
20
6
28
12
12
5
Gadsden
Gardendale
Geneva
Glencoe
Goodwater
Gordo
Grant
Graysville
Greensboro
Greenville
Grove Hill
Gulf Shores
Guntersville
Gurley
Haleyville
Hamilton
Hanceville
Hartford
Hartselle
Headland
Heflin
Helena
Hokes Bluff ....
Hollywood
Homewood
Hoover
Hueytown
Huntsville
Hunsboro
Irondale
Jackson
Jacksonville
Jasper
Killen
Kimberly
Kinston
Lafayette
Lanett
Leeds
Level Plains
Lexington
Lincoln
Linden
Lineville
Lipscomb
Littleville
Livingston
Louisville
Luveme
Madison
Maplesville
Marion
Midfield
Midland City ...
Millbrook
Mobile
Monroeville
Montevallo
Montgomery
Moody
Morris
Moulton
M&undville
Mountain Brook
Mount Vernon .
Muscle Shoals ..
New Brockton . .
New Hope
Newton
Northport
Notasulga
Oneonta
Opelika
Opp
Orange Beach ...
131
107
24
18
16
12
4
4
5
5
4
4
2
2
6
6
11
8
31
24
6
6
31
24
32
25
4
4
18
13
11
10
10
6
13
13
25
21
13
9
13
9
II
7
5
5
5
2
59
55
103
83
27
21
444
330
5
4
29
24
19
15
26
20
59
40
4
4
3
3
16
12
29
22
26
20
5
4
4
2
8
4
6
6
8
4
9
4
7
5
12
7
2
2
22
16
44
31
8
3
14
8
16
12
8
4
15
10
547
439
25
20
12
8
542
407
12
8
10
9
8
4
63
48
14
14
26
24
3
3
4
4
6
3
47
39
16
297
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
ALABAMA— Continued
Owens Cross Roads
Oxford
Ozark
Pelham
Pell City
Phenix City
Phi: Campbell
Piedmont
Pleasant Grove
Prattville
Priceville
Prichard
Rainbow City
Rainsville
Red Bay
Reform
Riverside
Roanoke
Robertsdale
Russellville
Samson
Saraland
Satsuma
Scottsboro
Selma
ShefHeld
Slocomb
Snead
Somerville
Southside
Springville
Steele
Stevenson
Sulligent
Sumiton
Summerdale
Sylacauga
Talladega
Tallassee
Tarrant City
Thomaslon
Thomasville
Thorsby
Town Creek
Trinity
Troy
Trussville
Tuscaloosa
Tuscumbia
Tuskegee
Union Springs
Uniontown
Valley
Vernon
Veslavia Hills
Warrior
Weaver
West Blocton
Wetumpka
Wilmer
Wilton
Winfield
York
ALASKA
Anchorage
Bethel
Bristol Bay Borough
Cordova
Craig
Fairbanks
Haines
Homer
Hoonah
Total
police
employees
38
60
40
24
74
4
16
15
52
5
53
20
12
12
4
3
21
12
22
II
28
13
43
89
30
6
6
4
9
5
2
10
3
II
3
43
50
14
22
14
2
5
3
51
21
243
21
46
15
5
28
5
36
10
11
2
19
9
2
9
9
Total
officers
4
3
17
7
18
7
23
9
34
60
26
4
4
2
5
4
2
6
3
10
3
37
37
14
17
1
10
2
5
3
40
17
187
19
36
12
5
21
5
35
6
10
2
14
5
1
Total
civilians
386
256
19
11
11
5
12
6
8
4
46
31
9
5
15
9
5
3
City
130
ALASKA— Continued
Juneau
Kenai
Klawock
Kodiak
Kotzebue
Nome
North Pole
North Slope Borough
Palmer
Petersburg
St. Paul Island
Sand Point
Seldovia
Seward
Skagway
Soldotna
Wrangell
ARIZONA
Apache Junction
Avondale
Benson
Bisbee
Buckeye
Bullhead City
Camp Verde
Casa Grande
Chandler
Chino Valley
Clarkdale
Coolidge
Cottonwood
Douglas
Eagar
El Mirage
Flagstaff
Florence
Gilbert
Glendale
Globe
Goodyear
Hayden
Holbrook
Huachuca City ...
Jerome
Kearny
Kingman
Lake Havasu City
Mammoth
Marana
Mesa
Miami
Nogales
Oro Valley
Paradise Valley ...
Parker
Payson
Peoria
Phoenix
Pima
Pmetop-Lakeside .
Prescott
Prescott Valley . . .
Quartzsite
Safford
St, Johns
San Luis
Scottsdale
Sedona
Show Low
Sierra Vista
Snowflake-Taylor .
Somerton
I South Tucson
Total
police
employees
Total
officers
57
38
12
21
21
97
22
58
167
16
8
25
28
46
6
16
108
19
60
289
24
19
7
20
13
3
10
50
71
6
17
648
10
58
39
41
18
27
89
!,602
3
18
78
23
7
16
8
18
313
22
23
50
II
16
32
40
116
18
51
II
5
g
19
6
17
11
34
12
5
1
11
5
76
32
13
6
42
18
193
96
18
6
14
5
6
1
15
5
8
5
^
6
4
34
16
51
20
6
12
5
418
230
9
1
43
15
30
9
32
9
12
6
16
11
60
29
1.939
663
3
11
7
48
30
16
7
6
1
14
2
7
1
12
6
208
105
15
7
15
8
35
15
10
1
11
5
24
8
298
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Total
police
emplo>ees
Total
otTicers
Total
civilians
(My
Total
police
employees
Total
ofTicers
Total
civilians
ARIZONA— Continued
Springerville
Superior
Surprise
Tempe
Thatcher
Tolleson
Tombstone .
Tucson
Wickenburg .
Willco»
Winslow
Youngtown .
Alma
Arkadelphia
Ashdown
Bald Knob
Barling
Beebe
Benton
Bentonville
Berrvville
Bhtheville
Booneville
BradTord
Brmkiey
Bryant
Bull Shoals
Cabot
Camden
Carlisle
Clarksville
Conway
Coming
Crossetl
Danville
Dardanelle
De Queen
Dermott
Des Arc
De Wilt
Dumas
Earle
Elame
El Dorado
England
Eureka Springs .
Fayetteville
Fordyce
Forrest City
Fon Smith
Gravette
Greenbrier
Green Forest ...
Greenwood
Gurdon
Hamburg
Harrison
Hazen
Heber Springs ..
Helena
Hope
Horseshoe Bend
Hot Springs
Hoiiie
Jacksonville
Jonesboro
Judsonia
Kenseit
Lake Village ....
Lincoln
Little Rock
Lonoke
ARKANSAS
ARKANSAS— Continued
7
14
18
350
7
18
7
1,002
15
15
32
14
32
31
8
59
10
3
14
10
2
17
42
9
16
63
10
18
3
8
11
11
3
13
22
7
1
55
10
14
75
II
35
151
4
4
7
6
6
7
31
7
18
24
27
7
93
8
67
83
4
3
11
4
509
11
6
8
17
241
7
13
6
754
10
10
18
8
I
6
1
109
5
I
248
5
5
14
6
5
2
17
4
8
1
5
4
7
1
4
4
24
8
22
9
7
1
43
16
6
4
3
10
4
8
2
■>
12
5
29
13
5
4
10
6
52
11
6
4
12
6
3
5
3
9
2
7
4
3
9
4
13
9
5
1
2
46
9
5
5
8
6
59
16
8
3
25
10
115
36
4
2
2
5
2
6
4
2
6
1
23
8
3
4
11
7
20
4
22
5
6
1
76
17
4
4
50
17
62
21
3
1
3
7
4
4
393
116
6
5
Magnolia
Malvern
Marianna
Marion
Marked Tree
Maumelle
McGehee
Mena
Monticello
Morrilton
Mountain Home .
Nashville
Newport
North Little Rock
Osceola
Ozark
Paragould
Paris .T!
Piggott
Pine Bluff
Pocahontas
Prescolt
Rogers
Russellville
Searcy
Sheridan
Sherwood
Siloam Springs ...
Smackover
Springdale
Star City
Stuttgart
Texarkana
Trumann
Van Buren
Vilonia
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
Atherton
Atwaler
Auburn
Azusa
Bakersfield
Baldwin Park
Banning
Barstow
Bear Valley Springs
Beaumont
Bell
Bell Gardens
Belmont
Belvedere
Benicia
21
17
22
15
14
11
8
8
13
9
35
22
11
7
9
9
19
14
18
12
24
18
10
9
16
15
208
148
28
20
9
6
32
27
12
7
7
6
144
116
21
12
10
7
51
38
44
34
33
24
6
5
60
52
33
21
5
4
71
50
3
3
26
16
82
61
15
10
26
21
2
1
6
6
11
7
19
13
2
2
24
19
79
59
17
16
27
19
138
94
33
29
142
88
9
8
529
351
22
14
8
7
IIS
81
97
77
28
20
28
20
17
11
36
28
25
20
29
22
27
20
83
56
333
244
88
68
45
30
50
36
10
6
24
16
62
40
77
56
44
32
8
7
47
32
299
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
CALIFORNIA— Continued
Berkeley
Beverly Hills ..
Bishop
Blue Lake
Blythe
Brawley
Brea
Brentwood
Brisbane
Broadmoor
Buena Park
Burbank
Burlingame
Calexico
California City
Calipatria
Calisloga
Campbell
Capitola
Carlsbad
Carmel
Cathedral City
Ceres
Chico
China Lake
Chine
Chowchilla
Chula Vista ...
Claremont
Clayton
Clearlake
Cloverdale
Clovis
Coachella
Coalinga
Colfax
Colma
Colton
Colusa
Complon
Concord
Corcoran
Coming
Corona
Coronado
Costa Mesa
Cotati
Covina
Crescent City ..
Culver City
Cypress
Daly City
Davis
Delano
Del Rey Oaks .
Dinuba
Dixon
Dorris
Dos Palos
Downey
East Palo Alto
El Cajon
El Centro
El Cerrito
El Monte
El Segundo ...
Emeryville
Escalon
Escondido
Etna
Eureka ....
Exeter
Fairfax
Fairfield
Farmersville . .
Total
police
employees
304
195
22
2
27
36
132
18
18
8
136
234
64
44
20
5
13
55
38
105
28
62
52
103
51
136
18
235
57
II
25
15
100
32
22
5
16
88
9
206
1
20
21
184
57
196
20
81
12
159
80
143
68
46
4
24
19
5
7
154
42
203
70
37
145
83
42
13
202
I
65
14
16
135
11
Total
officers
182
128
14
2
18
27
106
15
15
8
87
145
45
28
13
4
9
40
22
77
18
42
33
64
41
78
12
154
39
9
17
10
70
22
15
5
12
62
g
124
140
15
15
114
42
138
13
52
11
116
53
109
52
33
4
18
16
2
7
123
34
124
46
33
114
63
29
8
137
1
46
13
12
82
10
Total
civilians
122
67
49
89
19
16
7
1
4
15
16
28
10
20
19
39
10
58
6
81
18
2
8
5
30
10
7
City
CALIFORNIA— Continued
Femdale
Firebaugh
Folsom
Fontana
Fort Bragg
Fortuna
Foster City
Fountain Valley ..
Fowler
Fremont
Fresno
Fullerton
Gait
Gardena
Garden Grove
Gilroy
Glendale
Glendora
Gonzales
Grass Valley
Greenfield
Gridley
Grover City
Guadalupe
Gustine
Half Moon Bay ..
Hanford
Hawthorne
Hayward
Healdsburg
Hemet
Hercules
Hermosa Beach ..
Hillsborough
HoUister
Holtville
Hughson
Huntington Beach
Huntington Park .
Huron
Imperial
Indio
Inglewood
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
Total
police
employees
Total
officers
3
3
11
7
44
34
163
106
26
18
20
14
57
42
83
62
5
5
260
182
645
410
215
148
27
17
111
91
234
169
75
46
303
207
74
52
9
8
26
18
10
9
14
8
22
15
9
8
9
8
15
13
46
34
147
91
243
164
25
16
62
47
21
17
59
39
35
28
25
21
13
9
7
6
376
229
102
63
11
5
10
10
66
41
288
209
5
4
192
125
26
20
2
2
11
9
10
10
15
13
15
14
15
11
80
47
89
62
14
12
3
3
76
57
30
24
52
38
26
20
16
12
19
14
120
65
20
14
102
69
56
41
1,100
734
30
24
42
28
10,392
7.800
37
25
65
40
54
42
18
15
70
65
300
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
ClI^
Tolal
police
employees
Total
officers
Tolal
civilians
Cily
Total
police
employees
Total
officers
Total
civilians
CAUFORNIA— Continued
Manteca
Marina
Martinez
Marysville
Maywood
Menlo Park
Merced
Millbrae
Mill Valley
Milpiias
Modesto
Monrovia
Montclair
Moniebello
Monterey
Monterey Park
Moraga
Morgan Hill
Morro Bay
Mountain View
Mount Shasta
Napa
National Cily
Nevada Cily
Newark
Newman
New-port Beach
Novalo
Oakdale
Oakland
Oceanside
Ontario
Orange
Orland
Oroville
Oxnard
Pacifica
Pacific Grove
Palm Springs
Palo Alto
Palos Verdes Estates
Paradise
Parlier
Pasadena
Paso Robles
Patterson
Perris
Peialuma
Piedmont
Pinole
Pismo Beach
Piltsburg
Placenlia
Placerville
Pleasant Hill
Pleasanion
Pomona
Porterville
Port Hueneme
Red Blufi'
Redding
Redlands
Redondo Beach
Redwood City
Reedley
Rialto
Richmond
Ridgecresi
Rio Dell
Rio Vista
Ripon
Riverbank
Riverside
Rocklin
Rohnert Park
CALIFORNIA— Continued
68
30
54
28
32
63
108
32
34
104
284
74
74
135
72
114
13
40
24
117
9
109
103
10
73
9
228
74
32
1,133
252
268
210
10
33
223
54
38
131
169
35
37
II
337
38
16
49
78
27
42
35
87
67
24
63
95
280
58
29
34
164
95
170
110
32
148
255
42
4
10
17
20
474
40
75
46
25
43
20
21
42
74
23
26
75
199
56
52
92
53
81
12
27
17
82
9
70
73
8
52
9
151
53
24
720
166
179
142
9
23
145
41
27
83
94
23
23
10
208
31
14
34
54
20
22
24
69
51
19
42
66
168
38
21
23
92
70
100
74
23
100
177
33
4
9
11
15
305
26
46
77
21
8
413
86
89
68
1
10
78
13
11
48
75
12
14
1
129
7
2
15
24
7
20
11
18
16
5
21
29
112
20
8
II
72
25
70
36
9
48
78
9
I
6
5
169
14
29
Rosevllle
Ross
Sacramento
St. Helena
Salinas
San Anselmo
San Bernardino
San Bruno
San Carlos
San Clemente
Sand City
San Diego
San Fernando
San Francisco
San Gabriel
Sanger
San Jacinto
San Jose
San Leandro
San Luis Obispo
San Marino
San Mateo
San Pablo
San Rafael
Santa Ana
Santa Barbara
Santa Clara
Santa Cruz
Santa Maria
Santa Monica
Santa Paula
Santa Rosa
Sausalito
Scotts Valley
Seal Beach
Seaside
Sebastopol
Selma
Shafler
Sierra Madre
Signal Hill
Simi Valley
Soledad
Sonoma
Sonora
South Gate
South Lake Tahoe . .
South Pasadena
South San Francisco
Stallion Springs
Stockton
Suisun City
Sunnyvale
Susanville
Sutler Creek
Tafl
Tiburon
Torrance
Tracy
Trinidad
Tulare
Turlock
Tuslin
Twin Cities
Ukiah
Union City
Upland
Vacaville
Vallejo
Ventura
Vernon
Visalia
Walnut Creek
Walerford
Watsonville
107
57
7
7
900
599
16
12
181
138
22
16
397
253
58
48
47
35
68
47
6
5
2,741
1,903
48
34
2,261
1,847
61
50
29
23
40
26
1,581
1,174
129
83
83
56
30
25
145
103
51
40
108
77
587
390
212
140
181
145
113
75
101
75
321
177
33
27
201
136
31
21
25
17
52
35
51
41
20
14
34
22
28
23
21
15
43
31
168
114
12
10
20
14
12
9
124
90
70
50
48
30
109
72
3
3
468
307
33
23
179
122
15
14
6
6
23
16
17
14
320
238
58
42
3
3
68
40
76
52
118
85
41
32
33
24
90
67
111
78
120
71
200
132
185
122
73
54
130
85
105
76
10
8
71
53
301
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNIA— Continued
Weed
West Covina
Westminster
Westmorland
West Sacramento
Wheatland
Whittier
Williams
Willits
Willows
Winters
Woodlake
Woodland
Yreka
Yuba City
COLORADO
Alamosa
Alma
Antonito
Arvada
Aspen
Ault
Aurora
Avon
Basalt
Bayfield
Berthoud
Black Hawk
Boulder
Bow Mar
Breckenridge
Brighton
Broomfield
Brush
Buena Vista
Burlington
Canon Cily
Carbondale
Castle Rock
Cedaredge
Center
Central City
Cherry Hills Village
Colorado Springs . . .
Columbine Valley ..
Commerce City
Cortez
Craig
Crested Butte
Cripple Creek
Dacono
De Beque
Del Norte
Delta
Denver
Dillon
Durango
Eagle
Eaton
Edgewater
Elizabeth
Empire
Englewood
Erie
Estes Park
Evans
Fairplay
Federal Heights
Firestone
Florence
Fort Collins
Fort Lupton
Fort Morgan
COLORADO— Continued
13
160
142
4
78
7
133
6
16
10
8
II
67
21
57
22
1
4
169
34
3
577
10
4
3
5
14
190
3
22
38
54
12
6
7
33
9
20
3
6
15
25
618
2
57
33
23
6
21
6
1
5
14
1,594
5
44
4
5
17
2
I
94
4
25
16
2
28
3
II
166
18
27
9
114
100
4
55
6
92
6
10
8
7
10
49
14
40
19
1
4
120
22
3
406
9
3
3
4
11
127
2
15
28
40
10
5
7
24
7
15
3
6
12
22
443
2
41
22
16
5
15
4
1
4
11
1,333
4
27
4
4
14
2
1
65
3
15
13
2
19
3
6
107
12
22
171
3
3
175
Fountain
Fowler
Frederick
Frisco
Fruita
Georgetown
Glendale
Glenwood Springs
Golden
Granada
Grand Junction
Greeley
Green Mountain Falls
Greenwood Village
Gunnison
Haxtun
Hayden
Holyoke
Idaho Springs
Ignacio
Johnstown
Julesburg
Kersey
Kremmling
Lafayette
La Jara
La Junta
Lakeside
Lamar
La Salle
Las Animas
Leadville
Limon
Littleton
Lochbuie
Log Lane Village
Longmont
Louisville
Loveland
Manitou Springs
Manzanola
Meeker
Milliken
Mintum
Monte Vista
Montrose
Monument
Morrison
Mountain View
Mount Crested Butte ,
Nederland
New Castle
Northglenn
Olathe
Pagosa Springs
Palisade
Palmer Lake
Paonia
Parachute
Parker
Platteville
Pueblo
Rangely
Ridgway
Rille
Rocky Ford
Salida
Sheridan
Silt
Silvcrthome
Snowmass Village
Springfield
Steamboat Springs
Sterling
Stratton
22
3
2
9
7
4
37
21
36
1
101
133
1
56
16
3
3
3
9
4
4
2
2
4
26
3
19
4
26
5
6
9
6
73
4
2
126
24
77
18
1
4
3
5
18
31
3
1
2
5
5
2
61
4
4
4
3
3
6
20
4
220
9
6
17
8
13
29
3
10
10
3
24
34
3
15
3 .
2 .
8
6
4 .
28
18
26
1 .
67
87
1 .
42
14
3 .
3 .
3 ,
8
4 .
4 .
2 ,
2 .
4 .
20
3 .
16
3
19
5 ,
6 .
7
5
56
3
2 .
85
21
50
13
I ,
4 .
3 .
4
13
24
3 .
1 ,
2 ,
5 .
4
2 ,
44
4 .
4 ,
4 .
3 ,
2
2
13
4 .
175
5
1
11
7
12
20
3
9
7
3
17
23
1
302
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Ciiy
Tola I
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
COLORADO— Conlinued
CONNECTICUT— Continued
Telluride
Thornton
Trinidad
Vail
Victor
Walsenburg
Westmmster ...
Wheal Ridge ..
Wiggins
Windsor
Woodland Park
Wray
Yuma
CONNECTICUT
Ansonia
Avon
Berlin
Bethel
Bloomfield
Branford
Bridgeport
Bristol
Brookfield
Canton
Cheshire
Clinton
Coventry
Cromwell
Danbury
Danen
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
Jewett City
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
8
119
26
52
2
16
151
84
1
9
19
II
7
39
38
44
32
58
43
422
110
35
19
52
26
16
26
140
57
29
15
143
51
18
21
95
ill
53
71
16
171
38
4
71
42
119
562
11
42
126
124
10
117
121
42
53
159
49
521
49
89
55
41
25
51
198
88
26
43
19
35
21
33
31
35
28
46
41
344
103
29
14
43
23
11
20
134
50
28
13
110
47
13
16
78
94
40
53
II
153
32
4
64
35
101
443
7
33
98
107
8
95
106
33
45
146
45
416
42
77
42
33
20
46
169
72
22
34
18
28
17
20
7
7
18
119
4
9
28
17
2
22
15
9
8
13
4
105
7
12
13
8
5
5
29
16
4
9
I
7
4
Putnam
Ridgefield Town
Rocky Hill
Seymour
Shelton
Simsbury
Southington
South Windsor .
Stamford
Stonington
Stratford
Suffield
Thomaston
Torrington
Trumbull
Vernon
Wallingford
Waterbury
Waterford
Watertown
West Hartford ..
West Haven
Weston
Westport
Wethersfield
Willimantic
Wilton
Windsor
Windsor Locks . .
Winsted
Wolcolt
Woodbridge
DELAWARE
Bethany Beach
Bethel
Blades
Bridgeville
Camden-Wyoming
Clayton
Dagsboro
Delmar
Dewey Beach
Dover
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
Alachua
19
15
39
34
36
29
28
27
58
53
38
32
61
56
40
31
328
280
42
33
114
97
19
14
14
11
73
67
75
65
60
47
90
71
349
298
50
45
40
32
148
123
132
116
15
14
73
65
SI
40
40
35
42
40
58
48
25
19
24
20
31
22
27
20
10
1
8
1
5
1
4
7
6
2
2
8
7
9
8
92
75
13
12
5
5
2
2
11
11
4
3
8
7
9
8
9
8
32
24
8
7
4
4
67
51
9
8
6
6
2
2
24
18
26
21
4
4
22
16
5
5
332
277
FLORIDA
5.207
15
4,424
10
303
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
FLOR I DA— Continued
Altamonte Springs
Apalachicola
Apopka
Arcadia
Atlantic Beach
Atlantis
Aubumdale
Avon Park
Bal Harbour
Bartow
Bay Harbor Islands ...
Belleair
Belleair Beach
Belleair Bluffs
Belle Glade
Belleview
Biscayne Park
Blounlstown
Boca Raton
Bonifay
Bowling Green
Boynlon 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
Crestview
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
Total
police
employees
119
5
51
26
29
28
32
25
28
56
28
15
5
8
57
12
7
12
206
9
4
156
110
9
34
9
7
153
63
3
1
11
10
5
343
22
23
72
57
75
2
53
181
204
8
25
3
23
25
5
131
293
31
13
76
199
12
70
10
5
9
39
8
6
41
5
32
14
19
701
19
193
138
62
13
Total
officers
86
5
44
18
22
14
24
18
22
40
23
10
5
7
46
10
7
7
127
5
4
123
89
8
24
8
6
104
43
3
I
10
8
5
237
16
13
54
45
54
2
43
130
139
7
18
3
20
14
4
100
215
23
12
56
135
8
54
8
5
8
29
7
6
30
5
25
9
14
456
14
136
105
48
Total
civilians
33
106
6
10
18
12
21
II
7
5
5
245
5
57
33
14
5
City
FLORIDA— Continued
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
Holly Hill
Hollywood
Holmes Beach
Homestead
Howey-in-the-Hllls
Indialantic
Indian Harbour Beach
Indian River Shores . .
Indian Rocks Beach ..
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
Total
police
employees
Total
officers
8
7
324
219
14
13
10
6
78
42
19
15
12
7
18
16
36
28
9
9
SI
38
118
93
10
7
434
315
28
23
II
11
U
7
16
12
28
22
462
302
17
10
108
85
4
4
16
11
23
16
20
19
14
13
12
11
14
13
.180
1.250
70
48
9
7
16
13
96
76
4
4
18
14
12
10
104
75
127
82
20
14
12
8
34
28
9
9
8
5
5
5
288
204
24
18
33
25
43
34
127
90
34
24
166
112
17
14
60
48
40
30
25
19
36
31
18
13
16
15
12
11
46
32
12
8
15
15
130
95
21
16
4
4
39
31
175
134
10
9
4
4
,318
1,022
418
301
41
33
51
41
16
11
304
Tible 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Total
police
employees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
FLORIDA— Con tiniMd
FLORI DA— Continued
Milton
Minneola
Miramar
Monticello
Mount Dora
Mulberr>
Naples
Neptune Beach
New Port Richey ...
New Smyrna Beach .,
Niceville
North Bay Village ....
Nonh Lauderdale ....
North Miami
North Miami Beach .
North Palm Beach ...
North Port
Oak Hill
Oakland
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
Punia 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
Sebring
Seminole Tribal
Sewall's Point
Sneads
23
5
103
12
35
12
114
18
36
61
19
28
65
131
133
45
37
5
2
105
187
15
36
22
70
21
27
792
82
38
19
43
152
116
93
8
37
35
106
41
7
18
175
196
20
106
222
80
309
13
74
13
16
134
37
56
8
118
43
42
47
II
40
716
48
96
36
280
22
10
29
32
45
17
5
87
9
25
8
77
12
27
43
14
21
51
99
96
36
23
3
2
76
123
10
29
16
47
16
21
548
62
28
13
29
94
69
74
7
27
25
79
32
6
16
138
142
19
70
143
58
246
8
56
8
11
94
26
44
7
90
33
30
37
10
30
503
30
78
24
190
16
7
21
23
32
8
I
29
64
5
7
6
23
5
6
244
20
10
6
14
58
47
19
1
10
10
27
9
1
2
37
54
1
36
79
22
63
5
18
5
5
40
II
12
I
28
10
12
10
1
10
213
18
18
12
90
6
3
8
9
13
South Bay
South Daytona
South Miami
South Palm Beach
Springfield
Starke
Stuart
Sunrise
Surfside
Sweetwater
Tallahassee
Tampa
Tarpon Springs
Tavares
Temple Terrace ...
Tequesta
Titusville
Treasure Island
Umatilla
Valparaiso
Venice
Vero Beach
Virginia Gardens ..
Waldo
Wauchula
Webster
West Melbourne . . .
West Miami
West Palm Beach .
Wewahitchka
Wildwood
Williston
Wilton Manors
Windermere
Winter Garden
Winter Haven
Winter Park
Winter Springs
Zephyrhills
Zolfo Spring
GEORGIA
Abbeville
Acworth
Adairsville
Adel
Alley
Alamo
Alapaha
Albany
Alma
Alpharetta
Americus
Aragon
Arcade
Arlington
Ashbum
Athens-Clarke County
Atlanta
Auburn
Augusta
Austell
Bainbridge
Baldwin
Ball Ground
Bamesville
Bartow
Baxley
Berlin
Blackshear
Blakely
Bloomingdale
Bowdon
Brasellon
15
10
32
23
56
48
9
9
19
14
20
14
57
43
166
128
29
22
19
19
446
312
1,073
804
57
41
23
17
54
37
20
15
103
74
24
20
8
7
14
8
61
40
88
60
6
6
6
6
13
11
3
3
22
20
19
14
348
233
18
13
16
10
40
29
7
7
38
29
95
62
92
68
52
38
32
23
6
6
3
3
23
19
12
10
17
14
2
1
2
2
2
1
203
179
20
14
43
26
57
45
8
4
3
3
15
14
216
167
1,996
1,524
6
6
201
171
14
9
45
37
5
5
2
2
12
11
2
1
14
10
11
10
21
16
6
5
11
1
7
1
305
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Tolal
police
employees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
GEORGIA— Continued
Bremen
Brooklet
Buchanan —
Buena Vista .
Butler
Byron
Cairo
Calhoun
Camilla
Canon
Canton
Carrollton
Cartersville ..
Cave Spring .
Cedartown ...
Centerville ...
Chamblee
Chatsworth . .
Chauncey
Chickamauga
Clarkesville . .
Clarkston
Claxton
Clayton
Cleveland
Climax
Cochran
Cohutta
Colbert
Coolidge
College Park .
Collins
Colquitt
Columbus
Comer
Commerce ...
Conyers
Cordele
Cornelia
Covington ...
Crawfordville
Cusseta
Cuthbert
Dallas
Dalton
Danielsville ..
Davisboro ...
Dawson
Decatur
Dillard
Doerun
Donalsonville
Doraville
Douglas
Douglasville .
Dublin
Duluth
East Dublin .
East Ellijay ..
Eastman
East Point ...
Edison
Elberton
Ellaville
Emerson
Enigma
Eton
Fairbum
Fairmount . . .
Fayetteville ..
Fitzgerald
Folkston
Forest Park ..
Forsyth
Fort Gaines .
7
I
II
I
1
3
94
I
7
471
3
16
49
33
16
52
1
7
12
16
71
I
5
22
53
I
5
13
34
42
44
50
36
7
5
17
119
4
25
5
2
I
I
23
6
28
31
6
64
23
4
7
I
10
I
I
3
79
I
6
368
3
12
35
29
15
49
I
4
8
12
54
I
2
17
42
I
4
9
24
33
35
41
26
6
4
12
101
4
20
5
2
I
I
17
3
20
24
6
40
18
4
10
1
103
GEORGIA— Continued
Fort Oglethorpe
Fort Valley
Franklin Springs
Gainesville
Garden City
Glennville
Glenwood
Gray
Greensboro
Greenville
Griffin
Grovetown
Hahira
Hamilton
Hampton
Hapeville
Harlem
Hartwell
Hawkinsville
Hazlehurst
Helen
Helena
Hepzibah
Hiawassee
Hilltonia
Hinesville
Hiram
Hoboken
Hogansville
Holly Springs
Homerville
Irwinton
Ivey
Jackson
Jasper
Jefferson
Jeffersonville
Jesup
Jonesboro
Kennesaw
Kingsland
Kingston
Lafayette
La Grange
Lake City
Lakeland
Lake Lanier Islands
Lake Park
Lavonia
Lawrenceville
Leary
Leesburg
Leslie
Lilbum
Lincolnton
Lithonia
Locust Grove
Loganville
Lookout Mountain
Louisville
Ludowici
Lumber City
Lumpkin
Luthersville
Lyerly
Macon
Madison
Manchester
Marietta
Marshallville
McCaysville
McDonough
Mclntyre
McRae
Meigs
24
31
2
102
20
14
3
2
10
7
79
11
7
10
36
11
19
12
14
11
2
2
3
1
59
5
3
11
4
10
I
5
23
7
16
5
32
8
39
20
5
22
75
10
6
9
2
11
44
3
3
4
22
4
12
9
13
8
10
9
5
10
4
1
331
14
18
144
6
4
12
3
9
6
20
25
1
81
18
9
3 .
2 .
10 .
6
66
8
4
1 .
8
30
8
15
11
10
7
2 .
3 .
1 .
48
5 .
2
7
4 .
6
1 .
3
17
7 .
11
5 .
23
8 .
26
17
1
18
67
8
6 .
8
2 .
9
36
2
3 .
4 .
18
4 .
8
7
11
7
10 .
5
4
7
4 .
1 .
278
13
13
119
5
4 .
12 ,
3 .
6
6 .
306
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31. 1992 — Continued
Cilv
Total
police
employees
Total
ofTiccrs
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
GEORGIA— CondniMd
Milledgeville
Millen
Monroe
Monticello
Morrow
Moultrie
Mountain City
Mount Airy
Muscogee City
Nashville
Newmgton
Newnan
Newton
Nicholls
Norcross
Oakwood
Ocilla
Oglethorpe
Oxford
Palmetto
Patterson
Peachtree City
Pearson
Pelham
Pembroke
Perry
Pine Lake
Pinehurst
Pooler
Porterdale
Port Wentworth
Poulan
Powder Springs
Preston
Quitman
Reidsville
Remerton
Richland
Richmond Hill
Rincon
Ringgold
Riverdale
Roberta
Rockmart
Rome
Rossville
Roswell
Royston
St. Marys
Sandersville
Sardis
Savannah
Senoia
Shellman
Sky Valley
Smyrna
Snellville
Soperton
Sparks
Sparta
Springfield
Stalham
Stone Mountain
Stone Mountain Park
Summerville
Suwanee
Swainsboro
Sycamore
Sylvania
Sylvester
Tallapoosa
Tallulah Falls
Thomaston
Thomasville
Thunderbolt
60
9
37
14
29
49
2
11
10
I
43
2
4
25
g
16
6
1
8
2
40
5
16
7
35
4
1
13
6
14
1
20
1
19
10
3
5
16
7
4
35
2
22
86
II
131
12
27
22
3
517
5
4
7
98
32
10
1
8
5
3
16
25
20
13
26
3
15
18
13
2
48
47
10
34
9
29
9
23
40
2
1
9
9
1
42
2
3
18
7
11
6
1
8
2
30
5
12
5
29
2
1
12
6
13
1
16
1
15
6
3
4
10
6
4
30
2
18
74
8
89
9
25
15
3
374
5
4
5
78
26
7
1
6
5
3
II
16
20
9
19
2
II
14
10
1
37
38
6
26
10
143
GEORGIA— Continued
Tifton
Tignall
Toccoa
Toomsboro
Trenton
Trion
Tunnel Hill
Twin City
Tybee Island ..
Tyrone
Unadilla
Union City
Union Point ...
Uvalda
Valdosta
Vidalia
Vienna
Villa Rica
Warm Springs .
Warner Robins
Warrenton . . . . .
Washington
Watkinsville ...
Waycross
Waynesboro . . .
West Point ....
Whigham
Whitesburg
Willacoochee . .
Winder
Winterville
Woodbine
Woodbury
Woodstock
Wrens
Zebulon
Hilo
Honolulu
Aberdeen
American Falls
Bellevue
Blackfoot
Boise
Bonners Ferry .
Buhl
Caldwell
Cascade
Chubbuck
Coeur d' Alene
Emmett
Filer
Fruitland
Garden City ...
Glenns Ferry ..
Gooding
Grangeville
Hailey
Heybum
Homedale
Idaho Falls ....
Jerome
Kamiah
Kellogg
Ketchum
Lewiston
McCall
Meridian
Montpelier
Moscow
HAWAII
IDAHO
51
3
32
1
6
7
4
4
19
9
7
32
10
2
100
32
6
22
2
101
6
14
4
8
21
19
3
3
2
34
2
4
10
21
13
4
253
148
2,374
1,936
8
5
9
8
3
3
20
18
195
168
8
7
8
7
42
31
3
3
15
12
61
43
9
9
4
4
6
5
19
16
4
3
7
7
6
5
9
7
5
4
5
5
100
73
12
11
3
3
7
6
13
10
56
41
8
6
19
17
5
5
31
24
307
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
IDAHO— Continued
Mountain Home
Nampa
New Plymouth
Orofino
Osbum
Payette
Pinehurst
Pocatello
Post Falls
Preston
Priest River
Rexburg
Rigby
Rupert
St. Anthony
St. Maries
Salmon
Sandpoint
Shelley
Soda Springs
Sun Valley
Twin Falls
Wallace
Weiser
Wilder
ILLINOIS
Abingdon
Addison
Albany
Albion
Aledo
Alexis
Algonquin
Alonon
Alsip
Altamont
Alton
Amboy
Andalusia
Anna
Antioch
Areola
Arlington Heights
Arthur
Ashland
Astoria
Atkinson
Atlanta
Auburn
Aurora
Aviston
Avon
Bannockbum
Harrington
Barringlon Hills
Bartlett
Bartonvllle
Balavia
Beardstown
Bedford Park
Belleville
Belvidere
Benld
Bensenville
Berkeley
Berwyn
Bethalto
Bloomingdale
Bloomington
Blue Island
Blue Mound
Bolingbrook
Bourbonnais
ILLINOIS— Continued
7
79
I
2
g
I
27
2
51
4
73
I
I
7
25
3
139
6
I
2
7
267
2
1
7
41
24
44
8
39
13
32
79
27
3
45
18
93
18
55
92
42
1
91
22
1
21
6
40
11
61
12
16
9
106
33
1
4
205
62
28
13
16
8
32
12
8
Bradley
Braidwood
Breese
Bridgeport
Bridgeview
Brighton
Broadview
Brookfield
Brooklyn
Buffalo Grove
Bull Valley
Bunker Hill
Burbank
Bumham
Burr Ridge
Byron
Cahokia
Cairo
Calumet City
Calumet Park
Camp Point
Canton
Carbon Cliff
Carbondale
Carlinville
Carlyle
Carmi
Carol Stream
Carpentersville
Carrollton
Carterville
Carthage
Cary
Casey
Caseyville
Central City
Centralia
Centreville
Champaign
Channahon
Charleston
Chenoa
Cherry Valley
Chester
Chicago
Chicago Heights ...
Chicago Ridge
Chillicothe
Christopher
Cicero
Clarendon Hills ...
Coal City
Coal Valley
Cobden
Collinsville
Colona
Columbia
Cordova
Coulterville
Country Club Hills
Countryside
Crest Hill
Crestwood
Crete
Creve Coeur
Crystal Lake
Cuba
Danville
Darien
Decatur
Deer Creek
Deerfield
Depue
De Soto
Des Plaines
23
18
to
7
8
5
2
2
44
38
3
2
35
30
33
27
5
5
76
64
5
2
53
45
13
9
23
20
10
6
39
27
17
11
91
65
21
IS
28
20
2
2
67
53
14
10
7
6
10
9
62
44
46
41
5
5
4
4
3
3
23
18
7
7
10
6
2
2
35
27
16
11
123
98
ID
9
37
29
2
2
10
10
9
6
14,446
12,238
103
78
31
28
13
9
4
4
121
95
17
13
6
3
7
6
2
2
42
33
4
4
13
1
8
1
I
29
22
28
22
25
18
7
6
15
11
7
6
60
43
73
60
44
28
144
140
1
1
48
37
3
2
110
98
308
rable 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Citv
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ILUNOIS— ConHnued
ILLINOIS— ConHnued
Dixmoor
Dinon
Dolton
Downers Grove
Dupo
Du Quoin
Durand
Dwighl
Earlville
E^st Alton
East Carondelet
East Dubuque
East Dundee
East Hazel Crest
East Moline
East Peoria
East St. Louis
Edwardsville
EITingham
Elbum
Eldorado
Elgin
Elizabeth
Elk Grove Village
Elmhurst
Elmwood Park
El Paso
Energy
Erie
Eureka
Evanslon
Evergreen Park
Fairbury
Fairmont City
Fair\'iew
Fairview Heights
Farmer City
Farmington
Fisher
Rora
Flossmoor
Ford Heights
Forest Park
Forest View
Fox Lake
Fox River Grove
Fox River Valley Gardens
Freeburg
Freeport
Fulton
Galena
Galesburg
Galva
Gardner
Gcneseo
Geneva
Genoa
GifTord
Gilberts
Gillespie
Gitman
Girard
Glen Carbon
Glencoe
Glendale Heights
Glen Ellyn
Glenview
Glenwood
Grafton
Granite City
Grayslake
Grayville
Green Rock
Greenup
Greenville
13
25
48
88
6
12
1
II
3
18
1
6
12
7
40
45
90
32
36
5
10
166
2
111
82
39
3
3
2
3
210
64
6
7
1
47
7
3
2
15
22
10
53
10
22
9
1
5
57
6
11
66
5
1
IS
34
5
1
1
8
3
3
16
43
68
43
83
23
I
59
17
6
3
3
14
7
22
38
65
5
8
1
7
3
12
I
6
11
7
31
33
65
23
25
4
6
124
2
96
62
30
3
3
2
3
157
51
6
5
1
36
3
2
2
10
16
8
38
8
16
9
1
5
49
6
9
49
4
1
10
24
4
1
1
5
3
3
11
34
48
33
61
16
I
50
12
3
3
3
9
Gumee
Hamilton
Hampton
Hampshire
Hanover
Hanover Park
Harrisburg
Hartford
Harvard
Harvey
Harwood Heights
Havana
Hawthorn Woods
Hazel Crest
Hebron
Henry
Herrin
Herscher
Hickory Hills
Highland
Highland Park ....
Highwood
Hillsboro
Hillside
Hinckley
Hinsdale
Hodgkins
Hoffman Estates .
Homer
Hometown
Homewood
Hoopeston
Hopedale
Huntley
Indian Head Park
Island Lake
Itasca
Jacksonville
Jerseyville
Johnsburg
Johnston City
Joliet
Jonesboro
Justice
Kankakee
Kenilworth
Kildeer
Kincaid
Kirkland
Knoxville
Lacon
La Grange
La Grange Park ..
Lake Bluff
Lake Forest
Lake-in-the-Hills ..
Uke Villa
Lakewood
Lake Zurich
Lanark
Lansing
La Salle
Lebanon
Leroy
Lewistown
Libertyville
Lincoln
Lincolnwood
Lindenhurst
Lisle
Litchfield
Lombard
London Mills
Loves Park
Lynwood
47
32
4
4
4
4
61
43
17
14
6
5
16
12
72
52
30
22
8
8
5
4
31
24
2
2
3
3
16
12
29
24
20
14
73
56
13
9
6
6
37
29
2
2
37
27
16
15
112
88
6
1
48
37
14
9
8
8
14
10
16
II
37
27
43
35
17
11
4
4
5
5
240
193
3
3
27
22
78
58
14
11
6
6
3
3
3
3
3
2
39
28
29
24
13
11
51
38
19
13
8
7
6
5
42
28
66
49
21
17
10
6
3
3
3
3
47
36
25
24
46
34
13
11
50
35
16
13
82
66
32
23
14
12
309
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ILLINOIS— Continued
Lyons
Macomb
Madison
Mahomet
Manhattan
Manito
Manteno
Marengo
Marion
Marissa
Markham
Maroa
Marquette Heights
Marseilles
Marshall
Martinsville
Maryville
Mascoutah
Mason City
Matteson
Maltoon
Maywood
McCook
McCullom Lake ...
McHenry
McLean
McLeansboro
Melrose Park
Mendola
Meredosia
Metamora
Metropolis
Midlothian
Milan
MilledgeviUe
Millsladl
Minier
Minonk City
Minooka
Mokena
Moline
Momence
Monee
Monmouth
Montgomery
Monticelto
Morrison
Morton
Morion Grove
Mount Carmel
Mount Carroll
Mount Morris
Mount Olive
Mount Prospect ...
Mount Pulaski
Mount Sterling
Mount Vernon
Moweaqua
Mundelein
Murphysboro
Naperville
Nashville
National City
Neoga
New Athens
New Baden
New Lenox
Newton
Niles
Nokomis
Normal
Norridge
North Aurora
Northbrook
North Chicago
ILLINOIS— Conrinued
27
29
15
4
5
2
7
14
24
3
37
2
3
7
12
3
9
6
4
45
49
67
20
1
39
I
8
71
14
1
2
16
28
15
1
4
1
I
7
14
94
8
4
21
18
10
5
20
56
18
2
7
5
90
4
8
37
2
40
21
192
5
2
2
3
4
17
7
62
4
60
41
15
82
65
22
24
II
4
5
2
7
10
18
3
31
2
3
6
II
3
5
6
4
34
40
59
15
1
28
1
4
61
II
2
12
23
II
1
4
1
1
6
13
70
8
4
20
12
9
5
15
41
13
2
4
3
70
3
4
31
2
30
14
115
5
2
2
3
4
16
6
50
2
51
31
14
60
45
Northfield
Northlake
North Pekin
North Riverside ..
Oak Brook
Oakbrook Terrace
Oak Forest
Oak Lawn
Oak Park
Oakwood Hills ...
Oblong
OTallon
Ogden
Oglesby
Okawville
Olney
Olympia Fields ...
Oregon
Orland Hills
Orland Park
Oswego
Palatine
Palestine
Palmyra
Palos Hills
Pana
Paris
Park City
Park Forest
Park Ridge
Pawnee
Paxton
Pecatonica
Pekin
Peoria
Peoria Heights ...
Peru
Petersburg
Phoenix
Pinckneyville
Pittsfield
Plamfield
Piano
Plymouth
Polo
Pontiac
Pontoon Beach ...
Port Bryon
Princeton
Prophetstown
Prospect Heights .
Quincy
Rantoul
Raymond
Red Bud
Richmond
Richton Park
Ridgway
Riverdale
River Forest
River Grove
Riverside
Robbins
Robinson
Rochelle
Rockdale
Rock Falls
Rockford
Rock Island
Rockton
Rolling Meadows ..
Romeoville
Roodhouse
Roscoe
Roselle
28
22
37
32
39
30
52
39
26
18
47
35
136
105
165
120
2
2
35
25
10
7
2
2
16
11
16
15
5
5
8
7
88
62
14
12
91
68
3
3
29
25
12
8
19
15
10
6
46
37
63
50
4
4
6
6
2
2
51
46
280
203
15
II
21
18
5
5
8
2
6
5
6
6
15
13
14
13
3
3
25
19
14
10
3
3
10
10
4
3
22
20
82
68
29
22
4
4
4
4
19
15
39
30
40
30
24
18
23
19
10
5
1 1
10
23
18
4
4
24
16
289
250
104
75
6
5
77
55
37
28
4
4
8
7
45
31
310
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Tolal
police
employees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ILUNOIS— ContiniMd
ILLINOIS— Continued
Rosemont
Rossville
Round Lake
Round Lake Beach ...
Round Lake Heights ..
Round Lake Park
Roiana
Royalton
Rushville
St. Charles
Salem
Sandwich
Sauget
Sauk Village
Savanna
Schaumburg
Schiller Park
Seneca
Sesser
Shawneetown
ShelbyviUe
Sherman
Shiloh
Shorewood
Silvis
Skokie
Sleepy Hollov*
Smilhton
Somonauk
South Barrington
South Beloit
South Chicago Heights
South Elgin
South Holland
South Jacksonville
South Roxana
Sparta
Springfield
Spnng Grove
Spring Valley
Steger
Sterling
Stickney
Stockton
Streamwood
Streator
Sugar Grove
Sullivan
Summit
Sumner
Swansea
Sycamore
Tampico
Taylorville
Thornton
Tinley Park
Tolono
Tower Lakes
Tremont
Trenton
Troy
Tuscola
University Park
Urbana
Vandalia
Venice
Vernon Hills
Vienna
Villa Grove
Villa Park
Virden
Wamac
Warren
Warrensburg
Warrenville
88
I
9
33
2
7
6
2
5
56
18
16
7
22
9
192
39
6
5
4
7
4
5
14
16
136
6
2
2
10
II
14
19
44
7
3
13
257
8
10
15
36
18
4
69
28
4
9
34
1
16
25
I
23
9
62
2
1
2
3
13
7
25
54
15
11
46
2
4
50
9
2
3
I
22
68
1
8
26
2
7
5
2
5
46
13
10
7
16
9
137
30
3
5
4
6
4
5
13
10
107
5
2
2
9
7
9
15
33
5
3
9
208
7
6
12
25
13
3
47
23
4
9
27
I
13
20
1
17
8
51
2
1
2
3
9
6
18
43
9
9
28
2
4
35
5
2
3
I
17
20
Washington
Washington Park
Waterloo
Watseka
Wauconda
Waukegan
Wayne
Westchester
West Chicago
West City
West Dundee
Western Springs .
Westmont
Wheaton
Wheeling
White Hall
Willowbrook
Willow Springs . .
Wilmette
Wilmington
Winfield
Winnebago
Winnetka
Winthrop Harbor
Wood Dale
Woodhull
Woodridge
Wood River
Woodstock
Yorkville
Zeigler
Zion
INDIANA
Alexandria
Anderson
Angola
Auburn
Batesville
Bedford
Beech Grove .
Berne
Bloomington ..
Bluffion
Boonville
Brazil
Bums Harbor
Carmel
Cedar Lake . . .
Chesterfield ...
Chesterton
Clarksville ....
Columbus
Connersville . .
Corydon
Crawfordsville
Crown Point .
Culver
Decatur
Delphi
Dunkirk
Dyer
East Chicago .
Edinburgh
Elkhart
Elwood
Evansville
Fairmount
Fort Wayne ..
Fowler
Frankfort
Garrett
Gary
Gas City
IS
12
16
10
8
7
15
10
21
14
162
124
5
4
46
34
30
25
8
4
17
15
26
21
48
34
78
56
77
52
4
4
27
23
16
12
57
40
15
10
16
14
2
2
34
25
15
10
43
29
58
42
25
18
38
26
10
10
5
4
60
41
14
10
166
127
16
12
22
17
11
7
37
31
34
25
5
5
83
61
21
17
12
11
16
12
9
5
61
51
17
12
6
5
19
13
41
33
70
64
36
32
6
6
42
28
29
23
4
4
19
16
10
6
8
5
22
16
138
107
14
9
122
99
20
16
270
249
8
4
382
330
4
4
37
26
15
10
335
226
13
9
311
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
INDIANA— Continued
IOWA— Continued
Georgetown
Goshen
Greenfield
Greenwood
Griffith
Hammond
Hartford City ....
Highland
Hobart
Huntingburg
Huntington
Indianapolis
Jasonville
Jasper
Jeflfersonville
Kendallville
Kokomo
Kouts
Lafayette
La Porte
Lebanon
Logansport
Long Beach
Lowell
Madison
Marion
Martinsville
Merrillville
Michigan City —
Mishawaka
Monticello
Mooresville
Mount Vernon ...
Munster
Nappanee
New Albany
New Castle
New Haven
Nobelsville
North Manchester
North Vernon
Petersburg
Plainfield
Portage
Portland
Princes Lakes
Rensselaer
Richmond
Schererville
Scottsburg
Sellersburg
South Bend
Speedway
Tell City
Terre Haute
Tipton
Valparaiso
Vincennes
Wabash
Warsaw
West Lafayette ...
West Terre Haute
Winchester
IOWA
Adel ....
Albia
Algona ..
Altoona .
Ames . . .
Anamosa
Ankeny .
Atlantic .
Audubon
2
45
31
58
35
229
16
45
42
8
36
1,330
4
23
50
19
135
2
109
44
24
39
5
14
28
64
21
51
104
86
15
17
14
40
15
72
38
18
43
15
13
7
32
45
18
2
II
101
36
12
16
303
34
14
131
14
52
35
29
40
46
5
15
2
40
24
43
27
187
11
38
31
8
29
977
4
15
44
14
100
2
81
38
20
34
5
10
23
60
16
43
85
76
9
12
13
31
11
57
35
13
32
II
13
4
28
35
14
2
8
76
28
8
II
239
26
9
115
9
39
30
25
32
36
5
II
7
353
Belle Plaine ...
Belmond
Bettendorf
Bloomfield
Boone
Burlington
Camanche
Carlisle
Carroll
Carter Lake ...
Cedar Falls
Cedar Rapids ..
Centerville
Chariton
Charles City ...
Cherokee
Clarinda
Clarion
Clear Lake
Clinton
Clive
Coralville
Council Bluffs .
Cresco
Creston
Davenport
Decorah
Denison
Des Moines ...
De Witt
Dubuque
Dyersville
Eagle Grove ...
Eldora
Eldridge
Emmetsburg ...
EstherviUe
Evansdale
Fairfield
Forest City
Fort Dodge
Fort Madison .
Gamer
Glenwood
Grinnell
Grundy Center
Hampton
Harlan
Hawarden
Hiawatha
Humboldt
Independence ..
Indianola
Iowa City
Iowa Falls
Jefferson
Johnston
Keokuk
Knoxville
Lamoni
Le Claire
Le Mars
Manchester
Maquoketa
Marion
Marshalltown . . ,
Mason City
Missouri Valley
Monticello
Mount Pleasant
Mount Vernon ,
Muscatine
Nevada
New Hampton .
Newton
5
4
4
4
45
35
7
7
15
14
51
36
7
7
5
S
18
13
7
6
57
46
213
170
16
U
8
7
18
13
11
9
13
8
5
S
17
12
50
42
16
12
24
22
108
90
8
8
16
12
178
144
16
12
15
11
473
357
7
7
85
78
8
5
7
7
6
6
5
S
7
6
11
11
6
5
19
13
8
8
46
43
27
22
6
6
9
8
14
13
4
4
11
7
9
8
4
4
6
6
7
7
IS
II
19
13
74
58
IS
11
8
8
10
9
37
27
IS
II
3
3
8
5
12
12
13
8
17
10
38
30
59
44
S4
41
6
6
8
5
14
13
4
4
44
36
9
8
6
6
33
26
312
T«ble 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Tolal
police
employees
Tolal
ofTiccrs
Total
civilians
Cily
Total
police
employees
Total
officers
Tolal
civilians
lOU A— Conlinued
Norwalk
Onawa
Orange Cily
Osage
Osceola
Oskaloosa
Ollumwa
Pella
Perrv
Pleasant Hill
Red Oak
Rock Rapids
Rock Valley
Sac City
Sergeant Bluff
Sheldon
Shenandoah
Sioux Center
Sioux Cily
Spencer
Spirit 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
Winterset
KANSAS
Abilene
Andover
Anthony
Arcadia
Arkansas Cily
Arma
Atchison
Attica
Augusta
Baldwin City
Basehor
Baxter Springs
Belle Plaine
Belleville
Beloit
Blue Rapids
Bonner Springs
Burden
Burlingame
Burlington
Burton
Bushton
Caldwell
Caney
Carbondale
Cawker City
Cedar Vale
Chanulc
Chapman
Cheney
Cherokee
Cherryvale
Chetopa
Clay Center
8
5
5
6
8
20
38
IS
16
8
13
3
3
5
5
II
12
6
134
26
7
17
4
4
5
39
7
9
146
7
6
14
19
6
54
4
12
7
7
5
5
6
7
18
31
12
12
8
9
3
3
5
5
7
9
6
110
19
6
15
4
4
5
32
7
9
122
6
6
13
13
6
44
4
11
6
10
KANSAS — Continued
Clearwater
Clyde
Coffey ville
Colby
Columbus
Colwich
Concordia
Conway Springs
Council Grove
Derby
Dodge Cily
Douglass
Downs
Easlborough
Edgerton
Edwardsville
El Dorado
Elkhart
Ellinwood
Ellis
Ellsworth
Elwood
Emporia
Enterprise
Erie
Eudora
Fairway
Florence
Fort Scott
Frankfort
Fredonia
Frontenac
Galena
Garden City
Garden Plain
Gardner
Gamett
Girard
Goddard
Goodland
Grandview Plaza
Great Bend
Halstead
Harper
Hays
Haysville
Herington
Hesston
Hiawatha
Highland
Hill City
Hillsboro
Hoisington
Holcomb
Helton
Holyrood
Hope
Horton
Hugoton
Humboldt
Hutchinson
Hoxie
Independence
Inman
Ida
Junction City
Kansas Cily
Kingman
Kinsley
Kiowa
La Cygne
Lake Quivira
Lansing
Lamed
Lawrence
5
1
31
16
8
2
13
3
4
28
48
2
1
6
2
11
37
3
5
4
5
3
57
1
3
3
7
1
19
1
7
7
9
72
1
11
12
5
3
15
3
40
5
2
34
26
10
5
7
2
4
4
10
3
5
2
1
9
6
5
87
2
25
2
20
55
479
10
3
2
1
2
9
11
134
5
1
23
16
7
2
9
3
4
22
34
2
1
6
2
11
33
3
5
4
5
3
40
1
3
3
7
1
15
1
6
4
9
46
1
9
8
5
3
12
3
28
5
2
24
16
5
5
6
2
4
3
7
3
5
2
1
5
5
5
59
2
17
2
15
44
345
6
3
2
1
2
8
11
102
313
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
KANSAS— Continued
KANSAS— Continued
Leavenworth
Leawood
Lebo
Lenexa
Liberal
Lindsborg
Louisburg
Lyndon
Lyons
Maize
Marion
Marquette
Marysville
McLouth
McPherson
Medicine Lodge . .
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
Perry
Pittsburg
Plainville
Pleasanton
Prairie Village
Pratt
Roeland Park
Rose Hill
Rossville
Russell
Sabeiha
Scranlon
St. John
Si. Marys
Salina
Scott City
Sedan
Seneca
Shawnee
Silver Lake
Smith Center
South Haven
South Hutchinson
Sprmg Hill
Stafford
Sterling
Stockton
Sublette
Tonganoxie
Topeka
Towanda
65
59
I
94
37
4
4
2
7
3
3
I
7
I
26
4
27
5
19
3
I
2
2
14
7
23
I
5
10
4
105
5
12
3
5
26
I
180
I
17
II
34
2
2
I
44
4
I
48
20
13
4
I
13
5
I
4
4
76
II
5
5
65
I
3
I
6
4
4
5
4
2
3
355
I
55
39
29
8
3
1
4
■>
6
1
2
1
3
1
6
1
1
76
4
24
3
5
18
1
3
1
7
■)
8
6
6
1
21
1
2
s
10
4
79
26
5
8
4
3
5
21
1
5
137
1
43
II
6
10
1
23
II
7
1
1
31
13
4
1
38
10
19
1
10
3
4
1
7
6
S
1
4
4
63
13
6
5
5
5
51
1
14
3
1
5
1
4
4
4
1
4
7
3
257
1
98
Udall
Ulysses
Valley Center ,
Valley Falls ...
Wa Keeney ...
Wakefield
Wamego
Waterville
Waverly
Weir
Wellington
Wellsville
Wichita
Wilson
Wmfield
Yates Center
KENTUCKY
Adairville
Albany
Alexandria
Anchorage
Ashland
Auburn
Audubon Park . .
Augusta
Barbourville
Bardstown
Barlow
Beattyville
Beaver Dam
Bellevue
Benham
Benton
Berea
Bloomfield
Bowling Green .
Brandenburg
Brodhead
Brooksville
Brownsville
Burgin
Burkesville
Bumside
Cadiz
Calhoun
Calvert City
Campbellsburg . .
Campbellsville ..
Caneyville
Carlisle
Carrollton
Catlettsburg
Cave City
Central City
Clarkson
Clay
Clay City
Clinton
Cloverport
Cold Spring
Columbia
Corbin
Covington
Crab Orchard ..
Crittenden
Crofion
Cumberland
Cynthiana
Danville ....
Dawson Springs
Dayton
Devondale
Dixie
1
6
1
6
10
6
5
5
II
1
6
1
I
2
1
2
17
13
3
3
620
486
25
19
4
3
6
13
55
2
3
3
13
19
I
4
4
10
I
8
23
2
97
3
I
2
I
I
6
3
4
I
5
I
14
I
9
10
8
5
9
I
I
6
2
2
4
7
20
115
1
8
I
9
20
29
10
13
2
9
I
5
6
9
52
2
2
2
10
16
1
4
4
9
1
6
17
1
76
3
1
2
I
I
4
2
4
I
4
1
13
1
9
10
8
5
9
I
I
2
2
2
4
7
16
97
I
4
I
7
16
22
5
12
2
314
fable 78.— Number of Full-time La» Enforcement Employees. Cities, October 31, 1992 — Continued
Cil\
Tolal
police
employees
Total
officers
Total
civilians
Cly
Total
police
employees
Total
ofTicers
Total
civilians
KENTUCKY— Continued
3r\' Ridge
iarlingcon
Edge^ood
Edmonton
Elizahethlovin
Elkhom City
Elkion
Elsmere
Eminence
Erlanger
Eubank
Evarts
-almouth
nat«oods
Hemrngsburg
Horence
-on Mitchell
-on Thomas
-on Wright
-rankfon
-ranklin
-ulton
jamaliel
jeorgetown
jiasgow
jrayson
jreensburg
jreenup
jreenville
juthrie
-lardinsburg
-larlan
-(arrodsburg
-lanford
-lazard
-lenderson
-lickman
-lighland Heights
-lillview
-lindman
-lodgenville
-lopkinsvitle
-lorse Cave
-lustonville
ndependence
ndian Hills
nez
rvine
rvington
ackson
amestown
effersontown
enkins
unction City
-aCenter
^ Grange
..akeside Park
-ancaster
..and between-ihe-Lakes
..awrenceburg
-ebanon
.^banon Junction
.Litchfield
-cwisport
-exington
-ibeny
-ondon
.^uisa
Ix3uisville
_oyall
MUdlow
Lynch
Madisonville
Manchester
Marion
2
2
10
6
42
3
6
10
6
34
1
3
13
II
5
47
12
23
8
56
22
14
2
40
31
8
10
2
7
5
3
13
24
4
27
56
10
6
9
2
6
53
4
I
12
3
1
7
2
10
5
43
4
3
3
8
8
9
22
17
19
3
16
1
525
6
12
9
801
5
8
4
49
15
6
2
2
9
6
31
3
6
9
6
28
1
3
8
7
5
43
12
22
7
50
15
10
2
30
24
8
6
2
7
5
3
9
16
4
19
49
6
6
9
2
6
47
4
I
II
3
1
7
2
9
5
37
4
3
3
7
7
5
21
13
13
3
II
I
389
6
12
6
623
1
7
3
41
9
6
136
3
178
4
I
I
8
6
KENTUCKY— Continued
Manin
Mayfield
Maysville
Middlesboro
Millersburg
Minor Lane Heights
Monticello
Morehead
Morganfield
Morganlown
Mount Sterling
Mount Vernon
Mount Washington
Muldraugh
Munfordville
Murray
Neon
New Castle
New Haven
Newport
Nicholasville
Nononville
Oak Grove
Olive Hill
Owensboro
Owenton
Owingsville
Paducah
Paintsville
Paris
Park City
Park Hills
Pembroke
Perryville
Pewee Valley
Pikeville
Pineville
Pioneer Village
Pippa Passes
Prestonburg
Princeton
Prospect
Providence
Raceland
RadclifT
Ravenna
Richmond
Russell
Russell Springs
Russellville
St. Matthews
Salyersville
Science Hill
Scottsville
Sebree
Shelbyville
Shepherdsville
Shivily
Silver Grove
Somerset
Souihgate
South Shore
Springfield
Stamping Ground
Stanford
Stanton
Sturgis
Taylor Mill
Taylorsville
Tompkinsville
Uniontown
Vanceburg
Versailles
Villa Hills
Vine Grove
3
29
25
26
8
3
12
21
15
4
21
8
8
1
1
30
1
1
1
54
38
1
8
6
128
3
6
75
10
22
30
6
1
4
17
20
9
2
5
15
14
7
11
4
36
2
48
11
4
32
33
4
IS
1
16
17
26
1
29
5
2
12
1
7
6
5
6
2
12
2
5
24
8
6
3
25
21
22
1
2
8
15
8
4
17
5
8
1
1
25
1
1
1
43
30
1
7
5
100
3
4
69
10
17
23
5
1
I
16
16
7
2
5
15
13
7
9
4
28
2
39
11
4
21
27
4
1
11
1
15
7
21
1
27
5
2
8
1
7
6
5
6
2
8
2
4
18
7
5
315
Table 78.— Number of Full-time Law Enforcement Employees, Cities. October 31, 1992— Continued
Cily
KENTUCKY— Continued
Walton
Warsaw
West Buechel
West Liberty
West Point ..
Wheelwright .
Whilesburg ..
Wilder
Williamsburg
Williamslown
Wilmore
Winchester ...
Wingo
LOUISIANA
Abbeville
Alexandria
Baldwin
Ball
Bastrop
Berwick
Bogalusa
Bossier City
Breaux Bridge . .
Covington
Dequincy
De Ridder
Eunice
Franklin
Franktinton
Golden Meadow
Gonzales
Gretna
Harahan
Haynesville
Houma
Jeanerette
Jena
Jennings
Jonesboro
Kenner
Kentwood
Kinder
Lafayette
Lake Charles . . .
Leesville
Lockport
Mamou
Mandeville
Mansfield
Natchitoches
Opelousas
Patterson
Pineville
Plaquemine
Ruston
St. Martinville ..
Shreveport
Simmesport
Sulphur
Vidalia
Ville Platte
Vivian
Welsh
Westlake
West Monroe ...
Westwego
Winnfield
2!achery
MAINE
Ashland
Auburn
Total
police
employees
38
160
6
7
49
10
44
144
17
34
14
22
38
23
13
5
27
74
23
7
64
20
5
36
16
145
10
6
244
133
26
5
12
30
17
44
48
12
44
28
42
21
551
3
42
17
28
13
16
15
61
14
17
24
Total
officers
33
130
6
6
43
10
36
131
13
33
14
22
36
19
13
5
27
65
23
7
50
20
5
29
16
110
10
6
178
132
26
5
12
30
17
42
40
12
44
27
35
16
425
2
34
17
28
13
12
15
56
14
16
22
Total
civilians
14
City
MAINE— Continued
Augusta
Baileyville
Bangor
Bar Harbor
Bath
Belfast
Berwick
Bethel
Biddeford
Boothbay Harbor
Brewer
Bridgton
Brownville
Brunswick
Bucksport
Buxton
Calais
Camden
Cape Elizabeth
Caribou
Carrabassett Valley
Cumberland
Damariscotta
Dexter
Dixfield
Dover-Foxcroft
East Millinocket
Easlport
Eliot
Ellsworth
Fairfield
Falmouth
Farmington
Fort Fairfield
Fort Kent
Freeport
Fryeburg
Gardiner
Gorham
Gouldsboro - Winter Harbor
Hallowell
Hampden
Houlton
Jay
Jonesport
Kennebunk
Kennebunkport
Kittery
Lewiston
Limestone
Lincoln
Lisbon
Livermore Falls
Machias
Madawaska
Madison
Mechanic Falls
Medway
Mexico
Milbridge
Millinocket
Milo
Monmouth
Mount Desert
Newport
North Berwick
Norway
Oakland
Ogunquit
Old Orchard Beach
Old Town
Orono
Oxford
Paris
Phippsburg
Total
police
employees
Total
officers
35
5 .
66
8
16
10
8
3 .
41
6
15
7
2 .
30
7
3 .
8
9
11
14
1
9
4 .
5 ,
3 .
4 .
5 ,
4
7
10
9
12
11
4
4
10
4 ,
10
15
1 ,
5 ,
9
13
7
1 ,
16
13
17
79
3
8
13
6
4
6
6 ,
4 .
2 ,
4 ,
1 .
14
3 ,
2 ,
5
4 .
7
6 .
6
7
16
13
13
3 .
6
1 .
316
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
CltN
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
MAINE— ConllniKd
Pittsfield
Portland
Presque Isle
Richmond
Rockland
Rockport
Rumford
Sabalius
Saco
Sanford
Scarborough
Searsport
Skowhegan
South Berwick
South Portland ...
Southvfest Harbor
Thomaston
Topsham
Van Buren
Veazie
Waldoboro
Washburn
Waterville
Wells
Westbrook
Wilton
Windham
Winslow
Winthrop
Wiscassei
Yarmouth
York
MARYLAND
Aberdeen
Annapolis
Baltimore
Baltimore City Sheriff
Bel Air
Berlin
Berwyn Heights
Bladensburg
Brunswick
Cambridge
Capitol Heights
Cenireville
Chesapeake City
Cheslertown
Cheverly
Cottage City
Crisfield
Cumberland
Delmar
Denton
District Heights
Easton
Edmonston
Elkton
Federalsburg
Forest Heights
Frederick
Froslburg
Fruitland
Glenarden
Great Oaks
Greenbell
Greensboro
Hagerstown
Hampstead
Hancock
Havre de Grace
Hurlock
Hyailsville
Landover Hills
9
180
2.1
5
24
4
17
6
31
47
31
3
15
9
56
9
4
14
3
1
5
I
34
23
35
5
21
7
12
8
14
27
45
152
3.391
118
41
12
4
22
10
51
g
6
I
10
12
4
10
57
8
8
9
45
6
26
8
5
108
17
9
12
12
57
3
110
3
3
32
7
30
I
5
141
18
5
18
4
IS
5
26
34
23
3
12
5
52
5
4
10
3
1
4
1
27
19
30
5
17
6
8
7
9
19
36
111
2,844
112
30
7
4
17
9
38
7
6
I
9
10
4
8
51
7
8
8
32
6
20
7
5
84
13
8
11
6
44
3
87
3
3
23
7
21
1
9
41
547
6
II
5
23
MARYLAND— Continued
La Plata
Laurel
Lonaconing
Luke
Manchester
Momingside
Mount Rainier
North Beach
North East
Oakland
Ocean City
Ocean Pines
Oxford
Pocomoke City
Port Deposit
Preston
Princess Anne
Ridgely
Rising Sun
Riverdale
Rock Hall
St. Michaels
Salisbury
Smithsburg
Snow Hill
Sparrows Point
Sykesville
Takoma Park
Taneytown
Thurmont
University Park
Upper Marlboro
Westemport
Westminster
MASSACHUSETTS
Acton
Amesbury
Andover
Arlington
Ashbumham
Ashby
Ashfield
Ashland
Athol
Auburn
Ayer
Barnstable
Bedford
Belchertown
Bellingham
Belmont
Berlin
Beverly
Blackstone
Bolton
Boston
Bourne
Boxboro
Boxford
Boylston
Braintree
Brewster
Bridgewater
Brockton
Brookline
Cambridge
Carlisle
Carver
Charlton
Chatham
Chelmsford
Cheshire
Clinton
4
60
2
2
3
5
18
7
7
5
107
16
3
15
2
2
7
2
5
17
4
6
92
1
7
13
6
44
5
5
7
1
4
35
34
29
59
74
6
2
1
23
22
28
19
95
28
15
24
52
6
77
21
8
2,586
31
7
11
7
81
21
29
171
149
269
13
21
16
21
56
3
23
29
25
45
67
5
2
1
22
18
23
14
86
27
II
21
46
4
74
13
4
1,942
28
6
II
7
73
16
28
152
135
237
9
14
12
20
48
3
22
317
Table 78.— Number of Full-time Law Enforcement Employees, Cities. October 31, 1992— Continued
City
MASSACHUSETTS— Continued
Cohasset
Dalton
Danvers
Danmoulh
Dedham
Deerfield
Dennis
Dighton
Douglas
Dover
Dracut
Dudley
Duxbury
East Bridgewater .
Eastham
East Longmeadow
Easton
Edgarlown
Everett
Fall River
Fitchburg
Foxboro
Framingham
Franklin
Freetown
Gardner
Gloucester
Graflon
Granby
Great Harrington .
Greenfield
Hadley
Hamilton
Hampden
Hanson
Hardwick
Harvard
Harwich
Haverhill
Hingham
Holbrook
Holliston
Hopedale
Hopkinton
Hudson
Hull
Ipswich
Lancaster
Lanesboro
Lawrence
Lee
Leicester
Leominster
Lexington
Lincoln
Littleton
Longmeadow
Ludlow
Lynn
Lynnfield
Maiden
Manchester
Marblehead
Marlborough
Marshfield
Mattapoisett
Maynard
Medfield
Medford
Medway
Melrose
Mendon
Merrimac
Melhuen
Middleboro
Total
police
employees
18
9
50
58
63
6
41
12
II
15
31
20
25
21
21
25
28
13
66
274
76
25
108
35
19
34
57
21
10
14
39
8
15
13
15
2
II
30
89
47
18
19
10
19
33
29
24
8
5
118
7
16
67
59
16
17
30
30
161
25
111
15
38
65
40
15
23
20
148
16
44
6
8
74
38
Total
officers
43
49
60
5
33
9
g
14
30
16
23
20
15
23
27
12
61
224
70
24
98
30
15
31
53
16
8
14
36
6
14
9
14
2
7
28
81
43
17
19
9
14
28
25
23
7
5
111
7
12
63
52
12
13
30
29
144
19
104
12
36
62
36
15
22
16
106
15
43
5
4
62
32
Total
civilians
City
MASSACHUSETTS— Continued
Milford
Millbury
Milton
Nahant
Nantucket
Natick
Needham
New Bedford
Newton
North Adams
Northampton
North Andover ...
North Attleboro ..
Northboro
Northbridge
North Reading ...
Norton
Norwood
Orange
Orleans
Oxford
Peabody
Pembroke
Pepperell
Pittsfield
Plymouth
Princeton
Provincetown
Quincy
Raynham
Reading
Rehobolh
Rockport
Rowley
Rutland
Salem
Sandwich
Scituate
Seekonk
Sharon
Shelbume
Sherbom
Shirley
Somerset
Somerville
Southboro
South Hadley
Springfield
Sterling
Stockbridge
Stoneham
Stoughton
Stow
Sturbridge
Sudbury
Sunderland
Sutton
Swampscott
Swansea
Taunton
Tewksbury
Tisbury
Tyngsboro
Wakefield
Walpole
Waltham
Ware
Warren
Watertown
Wellfieet
Wenham
Westboro
West Boylston ....
West Bridgewater
Westfield
Total
police
employees
Total
officers
43
42
22
17
57
55
11
11
29
24
57
49
53
49
269
241
193
173
27
26
60
56
47
41
50
40
23
17
16
15
24
23
17
15
64
62
9
9
28
21
22
17
93
85
27
26
14
13
82
76
79
65
6
3
20
16
205
174
19
17
44
37
26
21
17
17
10
8
90
81
30
28
39
32
36
31
21
17
2
2
15
15
14
9
34
30
138
131
17
13
28
27
521
460
16
12
6
6
43
38
53
51
16
12
15
11
30
25
3
3
11
11
33
32
29
27
97
93
53
51
15
12
20
16
47
45
41
38
142
133
16
16
8
5
80
68
15
10
11
10
30
25
13
12
19
18
66
62
318
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Total
police
employees
Total
officei^
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
MASSACHUSETTS— Continued
MICHIGAN— Continued
Westford
Westminster
West Newbury .
Weston
Weslpon
West Springfield
Westwood
Weymouth
Wilbraham
Wilmmgton
Winchendon
Wmchester
Wobum
Worcester
Yarmouth
MICHIGAN
Adrian
Albion
Allegan
Allen Park
Alma
Almont
Alpena
Ann Arbor
Armada
Atlas Township
Auburn
Auburn Hills
Bad Axe
Bangor
Baraga
Barry Township
Baih Township
Battle Creek
Bay City
Beaverton
Bedford Township
Belding
Bellaire
Belleville
Bellevue
Benton Harbor
Benton Township
Berkley
Berrien Springs-Oronoko Township
Beulah
Beverly Hills
Big Rapids
Birch Run
Birmingham
Blackman Township
Bhssfield
Bloomfield Hills
Bloomfield Township
Bloomingdale
Boyne City
Breckenridge
Bridgeport Township
Bridgman
Brighton
Bronson
Brown City
Brownstown Township
Buchanan
Buena Vista Township
Burr Oak
Burton
Cadillac
Calumet
Cambridge Township
Camp Grayling
Canton Township
Capac
40
g
5
29
25
74
32
106
26
46
12
42
74
443
52
36
36
10
58
15
4
22
213
3
I
3
49
7
4
2
2
7
155
81
2
9
9
I
9
4
31
30
33
9
I
31
15
2
55
20
5
27
84
I
II
3
6
4
13
5
I
30
10
19
I
42
21
2
I
I
76
4
27
7
5
25
24
67
28
94
21
44
II
37
67
358
43
17
5
178
35
3
1
2
1
38
II
7
4
->
?
6
1
118
37
75
6
■>
8
1
8
1
1
Carleton
Caro
Carrollton Township ...
Carson City
Carsonville
Caseville
Cass City
Cassopolis
Cedar Springs
Center Line
Centreville
Charleston Township
Charlevoix
Charlotte
Cheboygan
Chelsea
Chesaning
Chesterfield Township .
Chikaming Township ..
Chocolay Township
Clare
Clawson
Clay-Algonac
Clinton
Clinton Township
Clio-Vienna
Coldwater
Coleman
Coloma
Coloma Township
Colon
Columbia Township ...
Concord
Constantine
Coopersville
Corunna
Covert Township
Croswell
Crystal Falls
Crystal Township
Davison
Davison Township
Dearborn
Dearborn Heights
Decatur
Deckerville
Denmark Township
Denton Township
Detour Village
Detroit
De Witt
De Witt Township
Douglas
Dowagiac
Dryden Township
Durand
East Grand Rapids —
East Jordan
East Lansing
East Pointe
East Tawas-Tawas City
Eaton Rapids
Eau Claire
Ecorse
Edmore-Home
Elk Rapids
Elkton
Elsie
Emmett Township
Erie Township
Escanaba
Essexville
Evart
Fairhaven Township ...
Farmington
4
3
8
7
6
5
2
2
2
2
3
3
5
5
7
7
31
25
3
2
7
6
21
20
9
9
10
7
5
5
17
13
4
3
8
7
23
21
23
18
3
3
116
86
II
10
16
14
2
2
3
3
5
5
2
2
4
4
2
2
4
4
6
6
5
5
5
5
5
5
5
5
9
7
II
9
208
190
120
90
5
1
5
1
1
3
1
3
4,393
3,845
7
6
10
9
3
3
13
12
2
2
5
5
33
30
4
4
84
55
56
50
4
4
9
8
38
32
2
2
3
3
2
2
9
8
2
2
43
35
12
9
3
3
29
22
319
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
MICHIGAN— Continued
Farmington Hills
Fenton
Ferndale
Flat Rock
Flint
Flint Township
Flushing
Flushing Township
Forsyth Township
Frankenmuth
Frankfort
Franklin
Fraser
Fremont
Frost Township
Galesburg
Garden City
Gaylord
Genesee Township
Gerrish 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 lie Township
Crosse Pointe
Grosse Poinle Farms
Grosse Pointe Park
Grosse Poinle Shores
Grosse Pointe Woods
Hamburg Township
Hampton Township
Hamtramck
Hancock
Harbor Beach
Harbor Springs
Harper Woods
Hart
Hartford
Hastings
Hazel Park
Hesperia
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
Ironwood
Ishpem i ng
Ishpeming Township
Ithaca
Jackson
Jonesville
MICHIGAN— Continued
143
18
60
23
366
34
13
6
8
6
4
11
48
7
1
I
53
7
17
3
14
12
3
1
2
21
32
26
13
371
21
6
12
24
22
30
39
46
22
45
II
II
52
6
4
6
42
3
6
18
42
2
110
20
63
12
1
3
7
1
2
16
6
21
13
9
18
12
5
22
12
I
5
85
4
98
13
53
21
311
31
12
5
7
6
4
10
42
6
1
I
41
6
15
3
13
12
3
I
2
16
25
23
12
287
18
6
II
16
17
25
31
43
18
43
10
10
52
6
4
5
36
3
6
13
36
2
93
15
53
8
1
3
7
1
2
14
5
16
Kalamazoo
Kalamazoo Township
Kalkaska
Keego Harbor
Kentwood
Kingsford
Kinross Township
Laingsburg
Lake Angelus
Lake Linden
Lake Odessa
Lake Orion
L'Anse
Lansing
Lansing Township
Lapeer
Lathrup Village
Laurium
Lawrence
Lawton
Lennon
Leslie
Lexington ^
Lincoln Park
Lincoln Township
Linden
Litchfield
Livonia
Lowell
Ludington
Luna Pier
Mackinac Island
Mackinaw City
Madison Heights
Madison Township
Mancelona
Manchester Township
Manistee
Manistique
Manton
Marcellus
Marenisco Township
Marine City
Marion
Marlette
Marquette
Marshall
Marysville
Mason
Mattawan
Mayville
Melvindale
Memphis
Mendon
Menominee
Meridian Township
Michiana
Middleville
Midland
Midland Township
Milan
Milford
Millington
Monroe
Montague
Montrose
Montrose Township
Morenci
Morrice
Mount Clemens
Mount Morris
Mount Morris Township
Mount Pleasant
Mundy Township
Munising
332
250
34
26
6
6
49
43
18
18
350
258
16
15
18
16
13
10
64
58
1 1
188
150
15
14
74
57
15
14
11
10
10
42
34
19
14
15
13
10
29
27
20
16
39
33
53
50
12
18
12
48
44
39
32
6
26
24
25
22
10
8
5
5
320
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
Cilv
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
MICHIGAN— Continued
Muskegon
Muskegon Heights
Muskegon Township
Napoleon Township
Nashville
Negaunee
New Baltimore
Newberry
New Buffalo
New Lolhrop
Niles
Niles Township
NorthTield Township
North Muskegon
Northville
Northville Township
Norton Shores
Norvell Township
Norway
Novi
Oak Park
Olivet
Onaway
Ontonagon
Ontwa Township-Edwardsburgh
Orchard Lake
Oscoda-Ausable Township
Otisville
Otsego
Ovid
Owosso
Oxford
Parchment
Parma
Paw Paw
Pennfield Township
Pentwater
Perry
Petoskey
Pigeon
Pinckney
Pinconning
PittsHeld Township
Plainwell
Pleasant Ridge
Plymouth
Plymouth Township
Pontiac
Portage
Port Austin
Port Huron
Portland
Port Sanilac
Polterville
Prairieville Township
Quincy
Reading
Redford Township
Reed City
Reese
Republic Township
Richfield Township (Roscommon County)
Richfield Township (Genesee County)
Richland Township
Richmond
River Rouge
Riverview
Rochester
Rockford
Rockwood
Rogers City
Romeo
Romulus
Roosevelt Park
Roscommon Township
MICHIGAN— Continued
2
21
17
4
2
9
8
3
4
15
1
4
4
31
7
9
20
30
200
67
1
68
6
1
2
5
5
2
92
6
2
I
3
6
4
10
34
31
20
10
9
7
10
74
7
7
2
19
12
4
2
7
7
3
4
12
1
3
4
22
7
8
15
23
155
53
1
51
6
1
2
2
4
2
75
6
2
1
3
5
4
7
31
27
14
17
17
Rose City
Roseville
Ross Township
Royal Oak
Royal Oak Township
Saginaw
Saginaw Township
Si. 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
Shepherd
Somerset Township
Southfield
Southgate
South Haven
South Lyon
South Rockwood
Sparta
Spaulding Township
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 Rivers
Tittabawassee Township . . .
Traverse City
Trenton
Troy
Tuscarora Township
Twin City
Ubiy
Union City
Unionville
Utica
Van Buren Township
Vassar
Vicksburg
Walker
Walled Lake
Warren
Waterford Township
Watertown Township
Watervliel
Wayland
Wayne
Webberville
West Bloomfield Township
West Branch
1
97
84
2
2
108
90
IS
12
158
142
43
40
3
3
10
9
99
81
6
5
14
12
24
19
10
9
9
6
17
12
4
4
5
2
27
21
2
2
3
3
4
4
3
3
58
45
2
2
196
156
48
39
21
15
9
8
9
8
2
2
2
2
12
11
II
10
1
1
218
1
162
19
16
4
4
11
9
8
7
5
5
131
108
14
13
3
3
4
4
16
14
4
3
34
33
54
47
178
132
4
4
4
4
4
3
2
2
15
U
8
7
6
6
5
4
36
29
16
12
275
231
98
76
3
3
4
4
52
37
3
2
66
50
4
3
321
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31. 1992 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
MICHIGAN— Continued
Westland
While Cloud
Whitehall
White Lake Township
White Pigeon
WiUiamston
Wixom
Wolverine Lake
Woodhaven
Woodstock Township .
Wyandotte
Wyoming
Yale
Yates Township
Ypsilanti
Zeeland
Zilwaukee
MINNESOTA
Albert Lea
Alexandria
Anoka
Apple Valley
Austin
Babbitt
Baxter
Bayport
Belle Plaine
Bemidji
Benson
Big Lake
Blaine
Bloominglon
Blue Earth
Brainerd
Breckenridge
Brooklyn Center
Brooklyn Park
Buffalo
Burnsville
Caledonia
Cambridge
Canby
Cannon Falls
Champlin
Chanhassen
Chaska
Chisholm
Circle Pines-Lexington
Cloquet
Cold Spring
Columbia Heights
Coon Rapids
Corcoran
Cottage Grove
Crookston
Crosby
Crystal
Dawson
Dayton
Deephaven
Detroit Lakes
Dilworth
Duluth
Eagan
East Grand Forks
Eden Prairie
Edina
Elk River
Ely
Eveleth
Fairmont
Faribault
Farmington
MINNESOTA— Continued
114
2
5
26
3
4
17
9
31
1
59
104
3
2
54
7
2
35
23
35
50
33
4
5
5
4
23
4
5
43
123
6
22
10
53
71
9
67
3
9
2
5
20
4
16
12
12
17
4
30
59
4
35
15
8
33
4
2
g
13
4
147
71
21
63
57
19
7
9
17
31
5
|g
8
3
4
14
3
7
2
28
3
47
12
78
26
3
43
1
11
6
1
7
27
15
27
34
30
4
5
5
3
20
4
4
36
97
6
18
6
40
60
8
55
3
8
2
4
19
2
13
II
II
16
4
22
52
3
28
13
5
26
4
2
7
II
3
126
50
20
44
48
15
6
9
15
22
7
Fergus Falls
Forest Lake
Fridley
Glencoe
Glenwood
Golden Valley
Goodview
Grand Rapids
Granite Falls
Hastings
Hermantown
Hibbing
Hopkins
Hoyt Lakes
Hutchinson
International Falls ...
Inver Grove Heights
Jackson
Jordan
Kasson
Kenyon
La Crescent
Lake City
Lakefield
Lakeville
Le Sueur
Litchfield
Little Falls
Long Prairie
Luveme
Madison
Mankato
Maple Grove
Maplewood
Marshall
Medina
Melrose
Mendota Heights .
Minneapolis
Minnetonka
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
Princeton
Prior Lake
Proctor
Ramsey
Red Wing
Redwood Falls ...
Richfield
Robbinsdale
Rochester
Roseau
22
18
II
10
42
33
8
7
3
3
45
30
4
4
16
12
5
5
23
20
7
6
29
28
34
23
5
5
22
17
14
14
30
24
6
6
3
3
4
4
3
3
5
4
8
7
3
3
38
26
9
5
10
9
13
11
5
5
5
5
4
4
46
39
39
32
52
41
21
17
7
6
4
4
17
15
957
831
57
44
12
8
45
39
8
7
9
8
12
11
15
14
22
20
32
27
6
6
7
6
20
18
21
16
9
8
16
14
23
20
7
6
4
4
16
15
5
4
3
3
26
23
6
6
5
5
3
3
57
44
7
6
16
15
6
5
12
10
24
23
9
8
50
41
26
18
122
95
5
5
322
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cit\
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
MINNESOTA— Continii«J
Roscmount
Roseville
St. Anthony
Bonifacius-Minnelrisla
Cloud
James
Joseph
Louis Park
Paul
St.
St.
St.
St.
St.
St.
St. Paul Park
St. Peter
Sanell
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
Waseca
Wayzata
Weils
West Hennepin
West St. Paul
White Bear Lake
Willmar
Windom
Winona
Woodbury
Wonhington
MISSISSIPPI
Aberdeen
Ackerman
Amory
Batesville
Belzoni
Booneville . . .
Brandon
Calhoun City
Clarksdale ...
Clinton
Collins
Columbia
Columbus
Como
Corinth
De Kalb
Edwards
Eupora
Rowood
Forest
Fulton
Gloster
Greenville ...
Greenwood . .
Grenada
GulfpKjrl
Haltiesburg ..
Hernando
Holly Springs
12
50
13
9
74
7
5
64
686
7
17
6
g
9
17
22
4
4
5
14
30
4
10
5
19
17
4
g
25
4
9
7
12
10
4
9
31
33
34
g
39
23
22
19
5
19
29
12
20
25
6
50
39
10
26
66
4
32
3
3
g
24
14
g
7
131
56
37
105
137
10
20
11
45
12
7
59
6
5
49
507
7
12
6
15
179
M ISSISSIPPI— Continued
Houston
Indianola
Inverness
Itta Bena
Jackson
Kosciusko
Laurel
Leakesville
Longbeach
Lucedale
Macon
Madison
McComb
Mendenhall ...
Meridian
Morton
Moss Point ...
Natchez
Newton
Ocean Springs
Okolona
Pascagoula
Pass Christian
Pearl
Pelahatchie . . .
Petal
Philadelphia . .
Picayune
Purvis
Raymond
Ridgeland
Rolling Fork ..
Starkville
Stonewall
Tupelo
Utica
Vaiden
Verona
Vicksburg
Waveland
Waynesboro . .
Wiggins
Winona
Yazoo City ...
MISSOURI
Arnold
Aurora
Ballwin
Bellefontaine Neighbors
Bel-Nor
Bel-Ridge
Belton
Berkeley
Blue Springs
Bolivar
Bonne Tene
Boonville
Branson
Breckenridge Hills
Brentwood
Bridgeton
Brookfield
Buckner
Butler
Calverton Park
Cameron
Canton
Cape Girardeau
Carrollton
Carthage
Centralia
Chaffee
Chariack
14
10
29
24
4
4
7
7
563
346
22
19
69
47
2
2
27
19
14
9
5
5
18
13
45
31
12
8
116
88
14
14
43
39
66
51
12
7
37
28
7
7
77
53
21
16
36
28
6
5
16
11
23
16
34
22
8
6
5
5
43
29
5
5
45
35
3
3
98
88
4
4
1
1
12
9
89
73
23
17
17
15
12
8
15
11
26
22
38
10
40
24
8
14
27
37
54
13
7
14
22
12
21
56
9
5
8
5
10
4
59
7
20
5
7
9
323
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
MISSOURI— Continued
Chesterfield
Claycomo
Clayton
Clinton
Columbia
Cool Valley
Country Club Hills
Crestwood
Creve Coeur
Crystal City
Dellwood
De Soto
Des Peres
Edmundson
Ellisville
Eureka
Excelsior Springs ...
Farmington
Fayette
Fenton
Ferguson
Festus
Flat River
Florissant
Frontenac
Fulton
Gladstone
Glendale
Grandview
Hannibal
Harrisonville
Hazelwood
Hillsdale
Independence
Ironton
Jackson
Jefferson City
Jennings
Joplln
Kansas City
Kearney
Kennett
Kirksville
Kirkwood
Ladue
Lake Lotawana
Lake St. Louis
Lake Winnebago ..
Lamar
Lebanon
Lees Summit
Lexington
Macon
Manchester
Maplewood
Marceline
Marlborough
Marshall
Maryland Heights .
Mexico
Moberly
Moline Acres
Neosho
Nevada
Newburg
New Madrid
Normandy
North Kansas City
Northwoods
Oakview
Odessa
OTallon
Olivette
Osage Beach
Overland
59
7
63
17
133
II
7
37
47
15
16
19
39
8
21
17
25
26
7
28
59
26
14
88
23
24
63
13
59
47
22
52
10
222
5
18
79
53
79
1769
6
25
29
69
36
4
21
4
9
23
97
7
II
21
27
6
8
31
70
33
38
7
25
23
2
7
19
42
19
4
6
44
26
23
63
55
7
50
16
105
9
5
29
38
II
15
14
33
7
20
15
17
16
6
22
52
18
8
72
18
20
52
10
48
31
14
40
9
156
5
15
66
39
61
1160
6
20
22
55
29
4
14
4
8
18
68
7
10
20
22
6
7
22
56
28
33
7
19
16
2
7
18
34
17
4
6
33
21
15
49
3
13
14
18
609
MISSOURI— Continued
Pacific
Pagedale
Parkville
Pevely
Pine Lawn
Pleasant Hill
Poplar Bluff
Potosi
Raytown
Republic
Richmond
Richmond Heights
Riverview
Rock Hill
RoUa
St. Ann
St. Charles
Ste. Genevieve
St. George
St. John
St. Joseph
St. Louis
St. Peters
St. Robert
Salem
Savannah
Sedalia
Shrewsbury
Sikeston
Slater
Smith ville
Springfield
Sugar Creek
Sullivan
Sunset Hills
Town and Country
Trenton
Union
University City
Valley Park
Vandalia
Vinita Park
Warrenton
Warrensburg
Warson Woods
Washington
Webb City
Webster Groves
Wentzville
Weston
West Plains
Windsor
Woodson Terrace
MONTANA
Baker
Belgrade
Billings
Boulder
Chinook
Columbia Falls
Conrad
Deer Lodge-Powell County
Dillon
East Helena
Eureka
Fort Benton
Fort Peck
Glasgow
Glendive
Great Falls
Hamilton
Havre
Helena
17
18
7
17
18
11
43
IS
73
16
IS
34
7
16
35
38
104
9
4
20
134
2168
64
14
18
5
48
19
57
9
9
269
12
19
23
33
IS
14
94
11
8
10
14
25
6
26
11
51
26
4
16
6
15
4
7
129
2
4
12
5
S
8
4
2
3
1
10
17
99
10
20
53
11
17
6
12
17
6
33
14
57
16 .
11
31
7 .
12
23
37
82
8
4 .
18
100
1519
52
10
II
5 .
39
16
SO
5
8
212
10
12
17
30
10
12
75
10
5
10 .
9
22
6 .
21
11 .
41
19
4 .
16 .
6 .
13
4
6
105
2
4
7
5
5
7
4
2
3
1
7
11
67
9
17
38
324
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
MONTANA— Continued
Kalispell
Laurel
Lewistown
Livingston
Manhattan
Miles City-Custer County
Missoula
Plentywood
Poison
Red Lodge
Ronan City
St. Ignatius
Sidney
Thompson Falls
Troy
West Yellowstone
Whitefish
Whitehall
NEBRASKA
Albion
Alliance
Ashland
Auburn
Aurora
Beatrice
Bellevue
Blair
Broken Bow ..
Central City ..
Chadron
Columbus
Cozad
Crete
David City ...
Elkhom
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
Omaha
O'Neill
Ord
Papillion
Pierce
Plainview
Platlsmouth ...
Ralston
Schuyler
Scottsbluff ....
Seward
Sidney
NEBRASKA— Continued
3
25
5
6
7
25
62
12
7
6
18
36
10
14
5
5
7
13
37
3
17
7
6
63
54
13
4
39
7
20
17
320
4
16
5
5
5
13
2
50
53
12
750
11
7
15
3
2
9
II
6
33
12
14
3
20
4
6
6
19
48
10
6
5
12
25
6
9
5
5
6
9
29
3
14
5
6
56
37
9
4
33
5
17
13
253
4
13
5
4
5
12
2
37
34
10
601
8
3
14
3
2
8
10
6
29
13
19
2
149
3
4
I
South Sioux City
Superior
Syracuse
Tecumseh
Tekamah
Valentine
Valley
Wahoo
Wayne
West Point
Wilber
Wymore
York
NEVADA
Boulder City
Carlin
Fallon
Henderson
Las Vegas Metropolitan Police Department
Jurisdiction
Lovelock
Mesquite
Reno
Sparks
Wells
Winnemucca
NEW HAMPSHIRE
Amherst
Ashland
Atkinson
Auburn
Harrington . .
Bedford
Belmont
Berlin
Boscawen . . .
Bow
Bristol
Charleslown
Chesterfield .
Claremont . .
Colebrook . .
Concord
Conway
Derry
Dover
Durham
Enfield
Epping
Exeter
Farmington .
Fitrwilliam .
Franklin
Gilford
Goffstown . .
Gorham
Grantham . . .
Greenfield . .
Greenville ..
Hampstead .
Hampton . . .
Hanover
Henniker . . .
Hinsdale
Holdemess ..
Mollis
Hooksett
Hudson
Jaflfrey
Keene
Kingston
28
7
27
146
2065
8
12
433
107
5
19
14
6
2
6
7
31
11
23
5
11
7
7
4
29
3
86
30
51
58
16
6
5
31
12
3
21
18
34
8
2
1
4
2
41
26
7
3
5
10
32
42
13
55
7
22
6
6
!
18
9
90
56
1429
636
7
1
8
4
291
142
67
40
5
15
4
13
1
5
1
■>
4
2
6
1
23
8
10
1
21
2
4
1
7
4
6
1
4
3
4
24
5
1
67
19
20
10
42
9
44
14
14
2
5
1
4
1
23
8
II
1
2
1
17
4
12
6
22
12
7
1
■>
4
1
32
9
16
10
6
1
2
1
5
9
1
19
13
32
10
11
2
42
13
6
I
325
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
NEW HAMPSHIRE— Continued
Laconia
Lancaster
Lebanon
Lee
Lincoln
Litchfield
Littleton
Londonderry
Manchester
Meredith
Merrimack
Milford
Milton
Moultonboro . . .
Nashua
New Castle
New Hampton .
Newington
New London . . .
Newmarket
Newport
Newton
Northfield
North Hampton
Northumberland
Northwood .....
Orford
Pelham
Pembroke
Peterborough ...
Pittsfield
Plaistow
Plymouth
Raymond
Rindge
Rochester
Rollinsford
Rye
Salem
Seabrook
Somersworth
Swanzey
Tilton
Troy
Wakefield
Webster
Wilton
Winchester
Windham
Wolfeboro
Woodstock
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
Beach Haven
Beachwood
Total
police
employees
42
6
35
5
12
8
10
42
228
14
42
23
9
8
196
2
5
10
10
10
15
5
7
9
3
4
I
21
II
11
5
17
17
9
6
48
3
9
63
25
26
6
9
I
8
I
6
5
19
13
4
37
29
18
12
6
2
12
II
72
549
16
17
4
30
9
24
16
9
195
17
16
Total
officers
33
6
30
4
9
7
9
32
180
II
31
20
8
6
147
2
5
9
6
9
11
4
6
8
3
3
I
15
10
9
4
12
10
8
5
37
3
8
47
19
19
5
8
I
7
I
5
Total
civilians
City
NEW JERSEY— Continued
4
1
14
5
10
3
4
30
7
27
2
14
4
8
4
6
■)
17
7
4
64
8
432
117
13
3
16
1
4
21
9
9
21
3
15
1
8
1
174
21
13
4
14
2
Bedminster Township
Belleville
Bellmawr
Belmar
Belvidere
Bergenfield
Berkeley Heights
Berkeley Township
Berlin
Berlin Township
Bernards Township
Bemardsville
Beverly
Blairstown Township
Bloomfield
Bloomingdale
Bogota
Boonton
Boonton Township
Bordentown
Bordenlown Township . . .
Bound Brook
Bradley Beach
Branchburg Township
Brick Township
Bridgeton
Bridgewater Township ...
Brielle
Brigantine
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
Chesilhurst
Chester
Chesterfield Township ...
Chester Township
Cinnaminson Township ..
Clark
Clayton
Clemenlon
ClifTside Park
Clifton
Clinton
Clinton Township
Closter
Collingswood
Colts Neck Township
Cranbury Township
Cranford Township
Cresskill
Deal
Delanco Township
Delaware Township
Delran Township
Demarest
Denville Township
Deptford Township
Dover
Dover Township
Dumont
Dunellen
Total
police
employees
14
94
25
26
6
57
30
76
14
16
35
20
8
7
132
15
20
21
9
12
25
23
19
18
110
68
71
16
44
6
15
35
42
13
15
24
2
374
22
32
24
61
31
25
29
153
8
9
1
18
35
49
18
12
42
151
7
19
20
27
17
12
60
25
17
8
7
26
12
36
60
31
163
36
isl
Total
officers
13
1
90
4
19
6
21
5
6
52
5
25
5
60
16
13
1
14
2
26
9
15
5
7
1
3
4
112
20
14
1
•in
18
3
9
11
1
19
6
18
5
15
4
17
1
87
23
57
II
57
14
14
2
36
8
6
10
5
31
4
34
8
n
13
2
22
2
?
306
68
16
6
29
3
17
7
53
8
30
1
19
6
24
5
125
28
7
1
8
1
17
1
26
9
44
5
12
6
37
5
132
19
7
17
2
18
2
24
3
14
3
11
1
47
13
22
3
13
4
7
1
6
1
21
5
1?
28
8
50
10
27
4
129
34
33
3
14
4
326
Table 78.— Number of Full-cime Uw Enforcement Employees, Cities, October 31, 1992— Continued
City
NEW JERSEY— Conrinucd
Eastamplon Township
East Brunswick Township
EasI Greenwich Township
East Hanover Township
East Newark
EasI Orange
East Rutherford
East Windsor Township
Eatontown
Edgew aier
Edgewater Park Township
Edison Township
Egg Harbor City
Egg Harbor Township
Elizabeth
Elk Township
Elmer
Elmwood Park
Emerson
Englewood
Englewood ClifTs
Englishtown
Essex Fells
Evesham Township
Ewing Township
Fairfield
Fair Haven
Fair Lawn
Fairview
Fanwood
Far Hills .........[......
Fiemingion
Florence Township
Rorham 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) ...
Gutlenberg
Hackensack
Hackettstown
Haddonfield
Haddon Heights
Haddon Township
Haledon
Hamburg
Hamilton Township (Mercer County)
Hamilton Township (Atlantic County)
Hammonton
Hanover Township
Harding Township
Hardyston Township
Harrington Park
Harrison
Harrison Township
Harvey Cedars
Hasbrouck Heights
Haworth
Total
police
employees
15
117
12
32
9
282
30
54
41
26
14
221
22
80
401
7
3
33
19
91
27
2
13
47
83
37
14
64
25
22
4
II
25
28
107
12
26
28
6
102
33
56
4
44
54
16
2
49
33
24
29
87
18
19
2
21
120
22
21
27
21
6
199
53
33
33
16
19
II
53
8
9
32
14
Total
officers
13
91
II
27
9
270
27
42
31
25
13
180
14
61
323
6
3
31
19
78
26
2
II
42
70
34
13
54
25
21
4
10
20
27
91
II
21
22
6
83
25
45
4
39
47
16
2
38
27
20
24
69
14
14
2
20
107
17
21
16
22
16
6
171
39
26
26
15
13
II
50
8
8
30
II
Total
civilians
City
NEW JERSEY— Continued
19
Hawthorne
Hazlet Township
Helmetia
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
Lavallette
Lawnside
Lawrence Township
Lebanon Township
Leonia
Lincoln Park
Linden
Lindenwold
Linwood
Little Egg Harbor Township
Little Falls Township
Little Ferry
Little Silver [[
Livingston
Lodi
Logan Township
Long Beach Township
Long Branch
Long Hill Township
Longport
Lopalcong Township
Lower Alloways Creek Township
Lower Township
Lumberton Township
Lyndhurst Township
Madison
Magnolia
Mahwah Township
Manalapan Township
Manasquan
Manchester Township
Mansfield Township (Warren County) ...
Mansfield Township (Burlington County)
Mantoloking
Mantua Township
Manville
Maple Shade Township
Maplewood Township
Margate City
Total
police
employees
29
48
3
6
38
19
16
48
20
83
3
140
14
6
34
30
31
80
5
5
186
5
70
II
39
916
33
135
26
24
16
46
9
117
14
6
15
8
62
25
28
135
32
22
36
26
26
19
66
44
12
42
91
25
14
14
18
48
20
53
37
8
52
56
23
77
II
3
8
27
25
37
68
38
Total
officers
28
44
3
6
31
13
II
39
19
71
3
128
14
5
27
22
25
65
4
5
161
5
55
10
33
832
27
128
25
18
15
36
97
11
6
II
6
55
7
19
26
119
29
18
26
21
24
14
57
43
12
37
73
19
11
9
13
39
18
48
34
8
47
44
17
65
II
3
7
17
23
30
56
29
Total
civilians
7
6
5
9
1
12
1
7
8
6
15
I
25
15
I
6
84
6
7
1
6
1
10
I
20
3
4
2
7
1
6
2
16
3
4
10
5
2
5
9
I
5
18
6
3
5
5
9
2
5
3
5
12
6
12
1
10
2
7
12
9
327
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officere
NEW JERSEY— Conrtnued
NEW JERSEY— Continued
Marlboro
Malawan
Maywood
Medford Lakes
Medford Township
Mendham
Mendham Township
Merchanlville
Metuchen
Middlesex
Middle Township
Middletown Township
Midland Park
Milford
Millbum Township
Milltown
Millville
Mine Hill Township
Monmouth Beach
Monroe Township (Gloucester County)
Monroe Township (Middlesex County)
Montclair
Montgomery Township
Montvale
Montville Township
Moonachie
Moorestown Township
Morris Plains
Morristown
Morris Township
Mountain Lakes
Mountainside
Mount Arlington
Mount Ephraim
Mount Holly
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
Norlhvale
North Wildwood
Norwood
Nutley
Oakland
Oaklyn
Ocean City
Ocean Gate
Oceanport
Ocean Township (Monmouth County) .
Ocean Township (Ocean County)
Ogdensburg
Old Bridge
Old Tappan
Oradell
Orange
Oxford Township
Palisades Park
62
27
24
9
42
II
17
17
32
34
51
119
16
I
61
17
72
9
II
59
41
113
26
22
37
18
38
23
65
52
15
26
9
12
26
60
46
13
6
18
76
8
1226
141
4
2
32
28
24
46
125
88
18
25
19
6
44
13
38
14
68
33
9
79
6
19
71
16
5
124
13
23
109
5
32
56
5
13
4
61
11
8
1
10
1
48
II
31
10
97
16
18
8
21
1
33
4
15
3
30
8
17
6
57
8
44
8
12
3
21
5
8
1
11
1
23
3
47
13
39
7
12
1
6
14
4
62
14
7
1
1072
154
114
27
4
?
29
3
23
5
18
6
42
4
113
12
73
15
16
2
18
7
15
4
5
1
38
6
12
1
33
5
14
60
8
29
4
8
1
63
16
6
14
5
60
11
12
4
5
91
33
12
1
22
1
97
12
5
28
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
Pohatcong Township
Point Pleasant
Point Pleasant Beach
Pompton Lakes
Princeton
Princeton Township
Prospect Park
Rahway
Ramsey
Randolph Township
Raritan
Raritan Township
Readington Township
Red Bank
Ridgefield
Ridgefield Park
Ridgewood
Ringwood
Riverdale
River Edge
Riverside
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 Girl
Sea Isle City
Seaside Heights
Seaside Park
Secaucus
Ship Bottom
Shrewsbury
Somerdale
Somers Point
Somerville
South Amboy
16
15
118
92
20
18
131
106
149
139
396
357
21
15
9
8
3
3
56
47
122
92
21
15
32
27
30
25
131
117
36
29
7
6
15
13
8
7
98
83
16
II
184
144
35
26
51
43
5
4
7
6
34
26
27
19
23
17
40
32
37
30
10
10
79
75
36
31
45
37
21
19
28
25
16
15
46
40
31
28
28
27
51
44
29
23
14
10
27
24
10
9
6
6
19
19
20
20
14
13
65
50
23
23
59
52
35
31
41
35
17
17
17
15
47
42
36
34
15
13
23
17
100
83
48
43
11
9
13
10
28
20
29
24
17
14
76
68
12
11
19
14
11
10
30
24
40
33
28
27
328
T»ble 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Tolal
police
employees
Tolal
officers
Tolal
civilians
City
Total
police
employees
Tolal
officers
Tolal
civilians
NEW JERSEY— ContiniMd
Soulh Belmar
Soulh Bound Brook
Soulh Brunswick Township
Soulh Hackensack
South Harrison Township
Soulh Orange
Soulh Plainfield
Soulh River
Soulh Toms River
Sparta Township
Spoiswood
Springfield
Spnngfield Township
Spring Lake
Spring Lake Heights
SlafTord Township
Stanhope
Stillwater Township
Stone Harbor
St raiford
Summit
Surf Cily
Swedesboro
Teaneck Township
Tenafly
Tewksbury Township
Tinton Falls
Tolowa
Trenlon
Tuckerton
Union Beach
Union Cily
Union Township
Upper Saddle River
Ventnor City
Vernon Township
Verona
Vineland
Voorhees Township
Waldwick
Wallinglon
Wall Township
Wanaque
Warren Township
Washington
Washington Township (Bergen County)
Washington Township (Gloucester County)
Washington Township (Mercer Counly) . . .
Washington Township (Morris County)
Washington Township (Warren County) . . .
Watchung
Walerford Township
Wayne Township
Weehawken Township
Wenonah
Weslamplon Township
West Amwell Township
West Caldwell
West Cape May
West Deptford Township
Wesifield
Wesi Long Branch
West Milford Township
Wesi New York
West Orange
West Palerson
Weslville
West Wildwood
West Windsor Township
Wesiwood
Whanon
Wildwood
Wildwood Cresl
Willingboro Township
Winfield Township
NEW JERSEY— Continued
12
87
19
4
59
64
35
4
36
22
47
5
16
14
49
7
2
25
II
58
15
5
1(X)
32
7
40
27
428
8
17
188
161
21
46
33
32
128
51
24
19
62
22
29
19
21
79
21
34
II
29
20
129
48
5
21
5
32
6
36
69
22
50
105
105
20
II
4
45
26
10
48
31
76
8
12
67
19
3
51
52
29
4
29
18
43
4
14
12
38
6
2
20
10
46
11
5
89
28
7
31
25
374
7
14
163
115
17
36
26
29
110
40
20
19
49
18
22
12
21
65
16
26
10
22
18
103
45
4
18
4
30
5
29
59
17
43
105
95
19
9
4
36
24
9
39
24
66
20
10
Winslow Township
Woodbridge Township
Woodbury
Woodbury Heights
Woodcliff Uke
Woodlynne
Wood Ridge
Woodstown
Woolwich Township . .
Wyckoff
NEW MEXICO
Alamogordo . .
Albuquerque ..
Arlesia
Aztec
Bayard
Belen
Bloomfield
Bosque Farms
Capilan
Clayton
Corrales
Cuba
Deming
Eunice
Farmington ...
Gallup
Grants
Hobbs
Hurley
Jal
Jemez Springs
Las Cruces
Los Lunas
Lovington
Milan
Mounlainair
Portales
Questa
Raton
Rio Rancho
Ruidoso
Ruidoso Downs
San Ildefonso Pueblo . .
Silver City
Taos
Tatum
Truth Or Consequences
Tucumcari
Tularosa
Wagon Mound
NEW YORK
Addison Town and Village
Albany
Albion Village
Alexandria Bay Village
Alfred Village
Allegany Village
Allamont Village
Amhersl Town
Amilyville Village
Amsterdam
Ardsley
Asharoken Village
Athens Village
Attica Village
Auburn
Avon Village
Bainbridge Village
Baldwinsville Village
Ballston Spa Village
72
213
33
8
18
8
21
8
6
26
77
1,091
36
24
7
20
20
9
2
16
17
6
30
8
128
103
39
105
5
10
3
150
26
26
II
5
31
3
22
104
29
10
4
30
25
7
18
29
12
1
2
381
II
3
6
3
1
175
25
39
17
3
2
6
66
3
3
15
10
62
181
25
7
17
7
19
7
5
23
61
787
22
6
lU
13
7
14
6
8
1
->
6
10
II
6
2
4
25
5
4
4
83
45
50
53
23
16
69
36
4
1
6
4
2
1
122
28
20
6
18
8
7
4
3
2
23
8
2
1
15
7
64
40
17
12
10
3
1
23
7
19
6
3
4
11
7
23
6
8
1
4
■>
317
64
10
1
3
6
3
1
148
27
75
36
3
n
3
■)
5
1
58
8
3
1
2
12
3
6
4
329
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
NEW YORK— Coneinued
Batavia
Bath Village
Beacon
Bedford Town
Binghamton
Bolivar Village
Boonville Village
Brant Town
BriarclifT Manor Village
Brighton Town
Brockpon Village
Bronxville Village
Buffalo
Camden Village
Camillas Town and Village —
Canajoharie Village
Canadaigua
Canisteo Village
Canton Village
Carmel Town
Carroll Town
Catskill Village
Cayuga Heights Village
Cazenovia Village
Centre Island Village
Chatham Village
Cheektowaga Town
Chester Town
Chittenango Village
Clayton Village
Clay Town
Clifton Springs Village
Clyde Village
Cobleskill Village
Coeymans Town
Cohocton Town
Cohoes
Cold Spring Village
Colonic Town
Cooperstown Village
Corinth Village
Corning
Cornwall-on-the-Hudson Village
Cornwall Town
Cortland
Cove Neck Village
Croton-on-Hudson Village
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
Ellenville Village
Ellicott Town
Elmira
Elmira Town
Elmira Heights Village
Elmsford Village
Endicott Village
Erwin Town
Evans Town
Fairport Village
Fallsburg Town
Roral Park Village
Total
police
employees
35
15
37
43
136
I
3
I
18
48
9
22
1,008
1
20
4
32
1
12
40
1
15
6
5
6
3
162
2
6
4
24
1
2
9
4
1
37
2
148
8
4
27
5
14
40
4
20
II
4
39
3
35
26
4
32
18
62
28
24
55
9
II
5
II
12
77
4
8
16
37
1
25
It
23
45
Total
officers
30
11
35
39
129
1
3
1
18
39
9
22
881
1
19
4
26
1
10
37
1
15
5
5
6
3
133
2
6
4
19
1
2
9
3
I
34
2
108
7
4
27
5
9
37
4
19
8
4
31
3
32
25
3
32
14
52
20
17
44
8
8
4
9
11
71
4
8
16
36
1
20
10
19
36
Total
civilians
127
1
6
29
City
NEW YORK— Continued
Florida Village
Fort Edward Village
Fort Plain Village
Frankfort Village
Fredonia Village
Freeport Village
Garden City Village
Gates Town
Geddes Town
Geneseo Village
Geneva
Glen Cove
Glens Falls
Glenville Town
Gloversville
Goshen
Goshen Village
Gouvemeur Village
Granville Village
Great Neck Estates Village .
Greenburgh Town
Greene Village
Green Island Village
Greenport Town
Greenport Village
Greenwich Village
Greenwood Lake Village
Groton Village
Hamburg Town
Hamburg Village
Hammondsport Village
Harriman Village
Harrison Town
Hastings-on-Hudson Village
Haverstraw Village
Haverstraw Town
Hempstead Village
Highland Falls Village
Homer Village
Hoosick Falls Village
Hornell
Horseheads Village
Hudson
Hudson Falls Village
Hyde Park Town
llion Village
Inlet Town
Irondequoit Town
Irvington Village
Ithaca
Jamestown
Johnson City Village
Johnstown
Kenmore Village
Kensington Village
Kent Town
Kings Point Village
Kingston
Kirkland Town
Lackawanna
Lake Placid Village
Lake Success Village
Lakewood-Busti
Lancaster Town
Lancaster Village
Larchmont Village
Laurel Hollow Village
Le Roy Village
Liberty Village
Liverpool Village
Lloyd Town
Lloyd Harbor Village
Lockport
Lowville Village
Lynbrook Village
Total
police
employees
1
4
3
3
17
104
66
38
16
6
34
52
37
28
35
2
13
12
6
15
118
2
5
2
9
1
13
1
78
22
1
5
72
21
21
30
125
12
5
4
21
14
23
15
12
18
6
61
21
78
82
41
23
27
6
18
24
77
4
60
16
25
10
32
22
29
9
12
21
10
8
13
51
6
52
Total
officers
1 .
4 .
3 .
3 .
16
89
52
31
15
6 .
32
47
30
19
33
2 .
12
8
6 .
14
96
2 .
5 .
2 ,
9 .
1 ,
10
1 ,
64
16
1 ,
5
64
21
21
28
97
8
4
4
20
10
22
11
10
16
3
50
21
67
68
37
23
26
6
14
24
72
3
44
14
22
9
27
16
26
9
9
18
9
8
12
49
6
45
330
Table 78. — Number of Full-lime Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
NEW YORK— Continued
Lyons Village
Macedon Town and Village
Malone Village
Mal\eme Village
Mamaroneck Town
Mamaroneck Village
Manlius Town
Marcellus Village
Marlborough Town
Menands Village
Middlepon Village
Middleiown
Mohawk Village
Montgomery Town
Monlicello Village
Moriah Town
Mount Kisco Village
Mount Pleasant Town
Newark Village
Newburgh
Newburgh Town
New- Hartford Town and Village
New Pallz Town and Village
New Windsor Town
New York
New York Mills Village
Niagara Town
Niagara Falls
Niskayuna Town
North Castle Town
Northpon Village
North Syracuse Village
North Tarry-town Village
Nonh Tonawanda
Norw-ich
Nonvood Village
Ogdensburg
Old Brookville Village
Old Westbury Village
Olean
Oneonta
Orchard Park Town
Ossming Town
Ossining Village
Oswego
Owego Village
Oxford Village
Oyster Bay Cove Village
Pamted Post Village
Palmyra Village
Pawlmg Village
Peekskill
Pelham Village
Penn Yan Village
Perr> Village
Phoenix Village
Piermont Village
Platisburgh
Pleasantville Village
Port Chester Village ....
Port Dickinson Village .
Port Jervis
Portville Village
Port Washington Village
Potsdam Village
Poughkeepsie Town
Pound Ridge Town
Pulaski Village
Putnam Valley Town ...
Quogue Village
Ramapo Town
Rhinebeck Village
Riverhead Town
Rochester
Rosendale Town
NEW YORK— Continued
17
22
41
54
42
I
10
10
2
63
3
4
25
I
34
51
20
83
56
22
26
45
37,922
2
5
175
34
34
19
14
26
55
22
1
29
50
27
37
27
31
13
55
55
12
4
6
3
60
25
13
5
I
6
46
20
66
4
23
I
61
18
87
1
2
16
10
116
2
74
800
3
9
2
17
22
40
49
37
I
6
10
2
56
3
3
22
I
32
43
19
74
43
13
20
32
28,249
I
4
155
27
29
16
II
26
52
20
1
24
41
23
35
25
30
13
48
49
8
I
8
4
5
3
50
23
12
5
I
6
41
20
62
3
23
1
52
15
76
I
2
II
10
105
1
63
666
3
I
9
13
9
6
13
9,673
1
1
20
7
5
3
3
Rotterdam Town
Rouses Point Village
Rye Brook Village
Sag Harbor Village
St. Johnsvilie Village
Salamanca
Sallaire Village
Sands Point Village
Saranac Lake Village
Saratoga Springs
Saugerties Town
Schenectady
Schodack Town
Schoharie Village
Scotia Village
Seneca Falls Village
Shandaken Town
Shawangunk Town
Shelter Island Town
Sherrill
Sidney Village
Silver Creek Village
Skaneateles Village
Sodus Village
Solvay Village
Southampton Town
Southampton Village
South Glen Falls Village
South Nyack-Grandview
Southold Town
Spring Valley Village
Stony Point Town
SufTem Village
Syracuse
Tarrytown Village
Tonawanda
Tonawanda Town
Tupper Lake Village
Tuxedo Park Village
Ulster Town
Vernon Village
Vestal Town
Wallkill Town
Walton Village
Wappingers Falls Village
Warsaw Village
Warwick Town
Washingtonville Village
Waterford Town and Village
Waterloo Village
Watertown
Watkins Glen Village
Wayland Village
Webb Town
Wellsville Village
Westhamplon Beach Village .
West Seneca Town
White Plains
Whitesboro Village
Woodbury Town
Woodridge Village
Yonkers
Yorklown Town
Yorkville Village
NORTH CAROLINA
Aberdeen
Ahoskie .,
Albemarle
Andrews .
Angier . . .
Apex
Archdale .
Asheboro
9
4
8
6
5
I
13
107
38
6
6
51
55
28
31
511
40
34
150
12
8
22
I
42
26
6
6
6
29
II
12
8
71
5
I
4
15
17
70
213
5
16
1
604
57
2
40
3
24
14
3
13
3
21
14
62
13
148
7
1
14
12
I
2
7
4
8
5
5
1
13
84
24
6
6
40
52
27
26
421
33
30
105
11
4
18
1
33
21
5
4
6
25
9
9
7
67
5
1
4
11
15
65
169
5
13
1
525
50
2
22
17
5
21
16
5
46
40
6
4
4
8
\2
4
\t»
13
5
20
15
5
53
44
9
331
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NORTH CAROLINA— Continued
Asheville
Atlantic Beach
Aulander
Aurora
Ayden
Bailey
Bakersville
Banner Elk
Battleboro
Beech Mountain
Beaufort
Belhaven
Belmont
Benson
Bessemer City
Bethel
Beulaville
Biscoe
Black Creek
Black Mountain
Bladenboro
Blowing Rock
Boiling Springs
Boiling Springs Lake
Boone
Brevard
Broadway
Brookford
Bryson City
Bunn
Burgaw
Burlington
Butner
Candor
Canton
Cape Carteret
Carolina Beach
Carrboro
Cary
Catawba
Chadbourn
Chapel Hill
Charlotte
Cherry ville
China Grove
Claremont
Clayton
CI inton
Clyde
Coats
Concord
Conover
Conway
Cooleemee
Cornelius
Cramerton
Creedmoor
Dallas
Davidson
Dobson
Drexel
Dunn
Durham
East Spencer
Eden
Edenlon
Elizabeth City
Elizabethtown
Elkin
Ellerbe
Elm City
Elon College
Emerald Isle
Enfield
Erwin
NORTH CAROLINA— Continued
196
29
1
1
19
4
2
5
2
13
12
12
25
19
IS
8
3
6
2
18
4
12
4
3
36
22
4
1
5
3
6
114
44
5
16
5
25
28
78
2
9
93
1079
17
5
4
21
34
3
5
82
18
1
3
17
8
II
12
12
4
5
33
350
5
49
18
41
13
20
3
4
10
17
14
13
154
23
1
1
16
4
1
5
2
9
12
10
20
15
11
7
3
6
2
14
4
8
4
3
31
18
4
1
5
3
6
88
38
5
13
5
19
26
61
1
6
77
873
14
5
4
15
26
3
5
65
17
1
3
15
8
7
9
8
4
5
26
298
5
44
16
37
12
17
3
4
9
13
10
9
17
1
3
16
206
3
Fair Bluff
Fairmont
Farmville
Fayetteville
Forest City
Foxfire Village . .
Franklinton
Fremont
Fuquay-Varina ...
Gamer
Garysburg
Gastonia
Gibsonville
Goldsboro
Graham
Granite Falls
Greensboro
Greenville
Grifton
Hamlet
Havelock
Hazelwood
Henderson
Hendersonville . .
Hertford
Hickory
Highlands
High Point
Hillsborough
Holden Beach . . .
Holly Ridge
Hope Mills
Hudson
Hunlersville
Indian Beach
Jacksonville
Jefferson
Jonesville
Kannapolis
Kenansville
Kenly
Kemersville
Kill Devil Hills .
King
Kings Mountain .
Kinston
Kitty Hawk
Knightdale
La Grange
Lake Lure
Lake Waccamaw
Landis
Laurel Park
Laurinburg
Lenoir
Lewiston
Lexington
Liberty
Lillington
Lmcolnton
Locust
Long Beach
Longview
Louisburg
lx)well
Lucama
Lumberton
Madison
Maggie Valley ...
Maiden
Manico
Marion
Mars Hills
Marshville
Matthews
9
6
18
14
19
16
285
217
27
22
2
2
8
8
3
3
18
13
36
33
3
3
199
161
13
10
110
88
23
21
12
11
557
433
135
103
5
5
25
20
30
23
5
5
56
50
46
34
7
7
110
88
9
9
184
164
16
15
7
7
3
3
21
14
11
10
9
8
4
4
109
88
3
3
4
4
80
72
3
3
4
4
43
34
26
21
13
12
31
24
86
71
15
13
8
8
8
8
6
6
4
4
4
4
31
26
56
47
3
2
74
57
7
7
8
8
26
22
3
3
17
13
13
12
11
10
6
6
3
3
73
63
15
14
3
3
12
11
6
5
22
19
5
5
6
6
29
23
332
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
NORTH CAROLINA— Continued
NORTH CAROLINA— Continued
Maxton
Mayodan
McAdenville
Mebane
Middlesex
Mocksville
Monroe
Montreal
Mooresville
Morehead City
Morganlon
Morrisville
Morven
Mount Airy
Mount Holly
Mount Olive
Murfreesboro
Murphy
Nags Head
Nashville
New Bern
Newland
Newport
Newton
Newton Grove
North Topsail Beach
North Wilkesboro ...
Norwood
Oakboro
Oak City
Ocean Isle Beach
Old Fori
Oxford
Pembroke
Pine Level
Pilot Mountain
Pinehurst
Pine Knoll Shores ..
Pinetops
Pineville
Pink Hill
Pitlsboro
Plymouth
Princeton
Raeford
Raleigh
Ramseur
Randleman
Ranio
Red Springs
Reidsville
Rhodhiss
Richlands
River Bend
Roanoke Rapids
Robbins
Robersonville
Rockingham
Rocky Mount
Rolesville
Rose Hill
Rowland
Roxboro
Rutherfordton
St. Pauls
Salisbury
Saluda
Sanford
Scotland Neck
Selma
Shelby
Siler City
Smithfield
Southern Pines
Southern Shores
II
13
4
13
3
12
84
5
30
25
89
10
1
41
24
15
13
13
19
8
79
5
4
38
2
7
20
5
3
1
7
5
35
11
2
9
23
8
8
15
1
7
13
3
16
506
5
8
6
16
48
I
4
4
39
6
7
28
152
5
4
9
30
12
12
81
2
74
15
21
46
19
34
29
8
7
II
4
10
3
II
74
5
25
18
72
9
1
33
19
10
9
8
16
7
61
5
4
29
2
6
17
5
3
1
7
5
28
II
2
8
18
8
5
15
I
7
9
3
14
451
5
8
6
12
39
I
4
4
30
6
7
23
116
4
4
5
24
11
8
63
2
61
8
16
33
15
27
24
8
Southport
Sparta
Spencer
Spindale
Spring Hope
Spring Lake
Spruce Pine
Stanley
Stantonsburg
Star
Stoneville
Sugar Mountain . .
Surf City
Swansboro
Sylva
Tarboro
Taylortown
TaylorsviUe
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 .
White Lake
Whiteville
Wilkesboro
Williamston
Wilmington
Wilson
Windsor
Wingate
Winston-Salem
Winterville
Winton
Woodfin
Wrightsville Beach
Yadkinville
Zebulon
NORTH DAKOTA
Beulah
Bismarck
Bowman
Carrington . .
Casselton . . .
Cavalier
Cooperstown
Crosby
Devils Lake
Dickinson
Elgin
Emerado
Fargo
Fessenden
Grafton
Grand Forks
10
6
7
15
6
23
13
11
3
4
3
6
5
4
8
34
1
8
60
6
3
3
8
8
13
2
3
21
1
20
14
4
14
33
5
24
6
11
13
5
6
4
29
16
16
179
97
6
4
520
6
1
7
25
7
16
7
94
3
4
1
3
I
3
16
36
!
1
109
1
13
89
5
4
8
26
1
8
8
51
9
6
3
3
8
6
2
12
I
7
3
16
5
15
5
13
1
4
11
3
25
8
"i
23
1
6
7
4
9
4
5
6
4
23
6
15
I
15
1
149
30
80
17
6
4
412
108
6
1
7
19
6
7
15
1
6
1
69
25
14
2
26
10
83
26
10
3
65
24
333
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NORTH DAKOTA— Continued
OHIO— Continued
Gwinner
Harvey
Hazen
Hillsboro
Jamestown ....
Larimore
Linton
Lisbon
Mandan
Mayville
Minol
Napoleon
New Rockford
Northwood . . .
Cakes
Parshall
Rugby
South Heart ..
Stanton
Steele
Thompson
Valley City ...
Wahpeton
Watford City .
West Fargo ...
Williston
Wishek
OHIO
Akron
Alliance
Amberley
Amherst
Archbold
Arlington Heights
Ashland
Ashtabula
Athens
Aurora
Bambridge Township
Barberton
Bath Township
Bay Village
Beavercreek
Beaver Township
Bedford
Bedford Heights
Bellaire
Bellbrook
Bellefontaine
Bellevue
Belpre
Berea
Bexley
Blanchester
Blue Ash
Bowling Green
Bradford
Brady Lake
Brecksville
Brewster
Briarwood Beach
Bridgeport
Broadview Heights ...
Brooklyn Heights
Brook Park
Brookville
Bryan
Bucyrus
Cadiz
Cambridge
Canfield
Canton
Carlisle
502
56
17
20
7
6
40
38
35
21
21
50
21
25
45
12
34
41
13
II
27
15
14
38
32
9
42
41
3
I
35
4
3
8
29
13
48
14
22
23
6
31
14
169
6
434
44
15
15
7
5
29
32
23
16
16
42
17
23
34
8
27
33
13
7
21
12
10
29
24
5
34
27
3
28
4
3
5
23
13
37
9
17
17
6
25
9
154
6
14
Carrollton
Centerville
Chagrin Falls
Chardon
Chillicothe
Cincinnati
Clear Creek Township
Cleveland
Cleveland Heights
Cleves
Clinton Township
Clyde
College Comer
Columbiana
Columbus
Conneaut
Cortland
Covington
Crestline
Cuyahoga Falls
Dalton
Dayton
Deer Park
Defiance
Delaware
Delhi Township
Delta
Dennison
Dover
Dublin
East Canton
East Cleveland
Eastlake
East Palestine
Eaton
Elmwood Place
Elyria
Englewood
Euclid
Evendaie
Fairbom
Fairfax
Fairfield
Fairfield Township
Fairlawn
Fairport Harbor
Fairview Park
Fayette
Forest Park
Fort Shawnee
Franklin
Fremont
Gahanna
Galtipolis
Garfield Heights
Gates Mills
Germantown
German Township
Gibsonburg
Girard
Glcndale
Golf Manor
Goshen Township
Grand Rapids
Granville
Greenfield
Greenville
Grove City
Hamilton
Harrison
Harlvjlle
Hicksville
Hilliard
Hillsboro
Hubbard
5
5
39
31
19
12
13
9
56
49
1,195
958
9
8
1.789
1,647
119
103
13
9
15
11
14
10
1.775
1.436
25
19
7
7
5
5
14
9
93
78
2
2
586
485
10
9
29
23
41
30
27
24
5
5
5
5
22
19
51
39
2
2
86
72
38
30
10
6
17
U
7
7
96
79
21
16
163
98
18
17
53
40
9
9
56
43
5
5
22
17
6
6
30
28
3
3
38
31
4
4
22
17
37
32
43
38
18
14
72
56
IS
12
11
7
5
5
4
4
23
19
8
7
10
6
6
5
12
9
12
12
30
22
45
33
121
103
19
17
4
4
7
6
43
31
19
15
16
12
334
T»ble 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
OHIO— Continued
Hubbard Township
Huber Heights
Hudson
Hunting Valley
Huron
Indian Hill
Ironlon
Jackson Township
JefTerson
Johnstown
Kent
Kettering
Kidland Hills
Lakemore
Lake Township
Lakewood
Lawrence Township
Lebanon
Lexington
Liberty Township
Lima
Logan
Lorain
Lordstown
Loudonville
Louisville
Loveland
Lyndhurst
Madeira
Madison Township (Lake County)
Madison Township (Montgomery County)
Mansfield
Maple Heights
Mariemont
Marietta
Marion
Marlboro Township
Marysville
Mason
Massillon
Maumee
Mayfield
Mayfield Heights
McConnelsville
Mentor
Mentor-on-the-Lake
Miamisburg
Miami Township
Middleburg Heights
Middlefield
Middleport
Middletown
Milford
Minerva
Mingo Junction
Mogadore
Monroe
Montgomery
Montpelier
Moraine
Mount Sterling
Munroe Falls
Napoleon
Navarre
Nelsonville
Newark
New Boston
Newcomerstown
New Lebanon
New Lexington
New Philadelphia
Newtown
Niles
North Baltimore
North Canton
Total
police
employees
45
15
12
14
24
19
21
5
8
51
103
11
6
12
103
5
28
10
22
99
19
121
12
11
13
15
37
13
16
28
124
57
9
35
67
3
16
18
50
51
19
42
5
87
11
42
30
36
8
8
116
15
12
II
7
6
19
7
34
Total
olTlcers
5
41
10
11
10
19
14
18
5
4
39
78
10
5
II
82
5
21
6
17
78
13
93
8
7
10
13
29
12
14
19
85
42
8
28
51
3
12
17
47
40
14
32
4
62
7
33
28
30
7
5
84
12
8
9
7
1
18
7
28
5
7
14
4
7
61
8
6
7
6
19
5
29
5
19
Total
civilians
City
OHIO— Continued
North Kingsville
North Olmsted
North Ridgeville
North Royalton
Northwood
Norton
Norwalk
Norwood
Oak Harbor
Oakwood
Oberlin
Ontario
Oregon
Orrville
Ottawa Hills
Parma
Parma Heights
Pepper Pike
Perkins Township
Perrysburg
Perry Township (Stark County)
Pierce Township
Piqua
Plain City
Port Clinton
Portsmouth
Ravenna
Reading
Reynoldsburg
Richfield
Richmond Heights
Rittman
Riverside
Rossford
St. Marys
Salem
Salineville
Sandusky
Sebring
Seven Hills
Seville
Shadyside
Sharonville
Sheffield Lake
Shelby
Solon
South Euclid
South Russell
Spencerville
Springboro
Springdale
Springfield
Springfield Township (Hamiton County) .
Springfield Township (Mahoning County)
Steubenville
Stow
Streetsboro
Sirongsville
Sunbury
Swanton
Sylvania
Sylvania Township
Tallmadge
Tiffin
Tipp City
Toledo
Toronto
Trenton
Trotwood
Troy
Twinsburg
Uniontown
Union Township (Butler County)
Union Township (Clermont County)
University Heights
Total
police
employees
4
68
33
46
20
17
26
47
5
34
18
17
53
20
15
113
37
19
13
26
25
13
29
4
17
44
27
23
51
15
25
10
5
14
15
20
3
53
9
16
6
7
42
12
19
50
41
7
4
17
40
160
42
5
53
48
20
64
6
4
34
28
33
40
16
677
10
11
26
38
26
7
49
40
38
Total
officers
Total
civilians
15
8
17
4
5
4
it
13
1
4
43
10
15
5
11
4
96
17
31
6
15
4
9
4
20
6
18
7
12
1
26
3
3
1
13
4
41
3
19
8
19
4
39
12
10
5
19
6
8
2
S
13
1
13
2
19
1
2
1
46
7
6
3
15
1
5
I
4
3
31
11
9
3
15
4
39
11
34
7
7
4
12
5
32
8
126
34
30
12
5
43
10
30
18
14
6
54
10
6
4
28
6
21
7
22
11
28
12
12
4
629
48
10
7
4
24
2
35
3
18
8
6
1
38
11
27
13
30
8
335
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
OHIO — ConliniKd
Upper Arlington
Upper Sandusky
Urbana
Vandalia
Van Wert
Vermilion
Village of Highland Hills
Wadsworth
Waite Hill
Walbridge
Walton Hills
Wapakoneta
Warrensville Heights
Washington Court House
Walerville
Wauseon
Waverly
Wellington
Wellsville
West Carrollton
Westerville
West Jefferson
Westlake
West Union
Whitehall
WicklifTe
Willard
Willoughby
Willoughby Hills
Willowick
Wilmington
Windham
Woodlawn
Woodsfield
Woodville
Wooster
Worthington
Wyoming
Xenia
Yellow Springs
Youngslown
Zanesville
OKLAHOMA
Ada
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
61
10
25
37
27
23
5
29
5
8
14
18
38
23
II
12
17
6
6
30
66
11
46
4
49
34
18
47
23
28
18
5
15
5
4
40
40
18
62
12
226
70
52
8
20
28
21
18
5
24
5
4
10
14
33
17
10
10
12
4
6
24
54
8
39
4
39
30
14
36
16
23
17
4
14
5
3
37
32
14
42
8
193
53
OKLAHOMA— Continued
Claremore
Clayton
Cleveland
Clinton
Coalgate
Collinsville
Comanche
Commerce
Cordell
Coweta
Crescent
Cushing
Davis
Del City
Dewey
Drumright
Duncan
Durant
Edmond
Elk City
Elmore City
El Reno
Enid
Brick
Eufaula
Fairfax
Fairview
Forest Park
Fort Gibson
Frederick
Geary
Glenpool
Goodwell
Gore
Granite
Grove
Guthrie
Guymon
Harrah
Hartshome
Haskell
Healdton
Heavener
Hennessey
Henryella
Hobart
Holdenville
Hollis
Hominy
Hugo
Hulbert
Idabel
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
46
5
8
27
6
9
4
3
7
13
7
20
12
46
9
4
50
34
96
26
6
30
107
2
10
8
9
3
5
17
8
14
2
3
3
19
28
18
5
10
6
3
9
8
IS
16
13
9
1!
17
5
21
4
II
16
4
1
9
4
7
4
10
1 85
9
10
8
4
3
9
10
9
6
10
3
5
31
3
8 .
20
5
5
4
3
6
8
4
15
9
35
8
4
44
27
78
17
2
24
82
2
7
4
5
2
5
II
4
8
2
3
3
12
22
13
5
5
6
3
5
4
10
10
8
5
5
13
3
IS
2
6
12
4
1
7
4
4
4
2
148
S
6
4
4
3
9
6
S
6
10
3
4
336
Tabk 78. — Number of Full-lime Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Tolal
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
OKLAHOMA— Continued
OKLAHOMA— Continued
McAlcsler
McLoud
Meelier
Miami
Midwest City ..
Minco
Moote
Mooreland
Morris
Muldrow
Musltogee
Mustang
Newcastle
Newkirk
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
Selling
Seminole
Shattuck
Shawnee
Skiatook
Snyder
Spencer
Spiro
Stigler
Stillwater
Stilwell
Stratford
Stroud
Sulphur
Tahlequah
Talihina
Tecumseh
Tishomingo
Tonkawa
Tulsa
Tuttle
Valliant
Vian
Village
Vinita
Wagoner
Walters
Warner
Warr Acres
48
8
4
35
109
3
60
2
4
5
110
19
12
5
19
4
15
162
8
2
6
II
1197
34
4
29
20
14
6
4
19
6
9
69
2
20
11
25
22
3
10
3
19
41
46
8
2
19
6
72
17
3
12
5
12
86
17
3
14
14
35
7
16
12
II
856
38
4
4
28
88
3
44
2
4
4
85
14
8
5
13
4
10
110
6
2
2
6
962
27
4
21
14
8
6
4
13
5
6
56
2
14
6
20
16
3
6
3
15
31
35
5
2
14
2
52
10
3
9
5
7
60
II
3
9
9
24
4
7
6
753
5
4
5
23
12
15
4
3
21
16
4
5
235
7
5
5
II
3
5
5
5
103
3
4
Watonga
Waukomis ..
Waurika
Waynoka . . .
Weatherford
Weleetka ....
Westville ....
Wetumka . . .
Wewoka
Wilburton ...
Woodward . .
Wright City
Wynnewood
Yale
Yukon
8
Albany
Amity
Ashland
Astoria
Athena
Aumsville
Aurora
Baker
Bandon
Beaverton
Bend
Boardman
Brookings
Bums
Canby
Cannon Beach
Canyonville . . .
Carlton
Central Point .
Clatskanie
Coburg
Coos Bay
Coquille
Cornelius
Corvallis
Cottage Grove
Culver
Dallas
Dundee
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
OREGON
59
I
34
23
1
5
1
15
8
86
55
3
17
8
23
8
4
1
19
6
3
38
10
14
70
21
1
15
4
6
2
4
274
19
26
2
2
2
2
18
6
I
43
US
2
23
57
2
13
4
II
2
2
9
II
27
3
16
5
10
5
2
5
10
4
6
3
20
8
3
6
4
3
4
25
9
45
14
24
10
16
7
4
1
1
11
4
7
1
65
21
41
14
3
11
6
4
4
16
7
7
1
3
1
1
13
6
5
1
2
1
30
8
8
2
12
2
44
26
14
1
7
14
1
4
5
1
?
4
142
132
12
7
20
6
7
7
7
7
12
6
5
1
30
13
86
29
?
16
7
48
9
7
10
3
4
10
1
7
7
4
5
7
4
23
4
3
337
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
OREGON— Continued
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
Oakland
Oakridge
Ontario
Oregon City
Philomath
Phoenix
Pilot Rock
Portland
Powers
Prairie City
Prineville
Rainier
Redmond
Reedsport
Rockaway
Rogue River
Roseburg
St. Helens
Salem
Sandy
Scappoose
Seaside
Shady Cove
Sherwood
Silverton
Sisters
Springfield
Stanfield
Stayton
Sulherlin
Sweet Home
Talent
The Dalles
Tigard
Tillamook
Toledo
Troutdale
Tualatin
Turner
Umatilla
Union
Vale
Vernonia
Waldpon
Warrenton
West Linn
Weston
Willamina
Winston
Woodburn
Yamhill
Total
police
employees
31
27
65
5
23
25
8
29
102
12
33
9
II
5
14
7
28
24
21
2
2
10
25
27
7
6
3
1072
2
2
20
6
20
16
3
5
36
19
227
9
8
22
3
5
12
5
76
3
12
9
19
6
18
51
10
12
15
26
2
7
2
4
4
4
6
22
I
5
11
22
2
Total
ofTicers
29
14
41
5
19
19
7
23
72
8
24
8
9
4
8
6
I
18
20
16
2
2
5
17
23
6
5
2
871
2
2
13
5
16
II
3
5
32
16
142
8
6
17
2
5
10
4
54
3
10
8
13
5
16
43
9
8
13
23
2
6
2
4
4
3
6
18
I
3
7
19
i
Total
civilians
4
I
I
I
201
City
PENNSYLVANIA
Abington Township
Adams Township
Akron
Albion
Alburtis
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
Auburn
Avalon
Avoca
Baden
Baldwin Borough
Baldwin Township
Bally
Bangor
Bamesboro
Barrett Township
Bath
Beaver
Beaver Falls
Bedford
Bedminster Township
Belle Acres
Bellefonte
Bellevue
Bellwood
Bensalem Township
Bentleyville
Benzinger Township
Berlin
Bern Township
Berwick
Bethel Park
Bethel Township (Lebanon County)
Bethlehem
Bethlehem Township
Big Beaver
Birdsboro —
Birmingham Township
Blair Township
Blairsville
Blakely
Blawnox
Bloomsburg Town
Bolivar
Boyertown
Brackenridge
Braddock
Braddock Hills
Bradford
Bradford Township
Brecknock Township
Brentwood
Briar Creek Township
Bridgeport
Bridgeville
Bridgewater
Total
police
employees
Total
officers
110
90
3
3
4
4
2
2
2
2
5
4
5
5
19
19
5
5
5
4
226
203
88
70
13
12
10
10
5
5
4
4
7
7
11
10
6
6
3
3
7
6
18
16
4
4
7
6
7
6
2
2
4
4
27
22
5
5
6
6
2
2
5
5
3
3
II
7
17
17
6
5
5
5
12
9
15
13
90
74
2
2
7
6
2
1
7
7
16
12
41
33
2
2
153
130
22
21
3
3
6
6
2
2
3
3
5
5
6
6
4
4
14
11
6
6
4
4
II
8
3
3
19
18
6
5
3
3
18
14
2
2
16
15
9
8
2
2
338
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31. 1992 — Continued
City
Tolal
police
employees
Total
officers
Total
civilians
Ciiv
Total
police
employees
Total
ofTicers
Total
civilians
PENNSYLVANIA— Continued
PENNSYLVANIA— Continued
Brighton Township
Bristol
Bristol Township
Brockway
Brookhaven
Brookville
Brownsville
Bnn Athyn
Buckingham Township
Burgeltstown
Bushkill Township
Butler
Butler Township (Butler County)
Butler Township (Luzerne County)
Butler Township (Schuylkill County)
Caernarvon Township (Berks County)
Caernarvon Township (Lancaster County)
California
Cain Township
Cambria Township
Camp Hill
Canonsburg
Canton
Carlrondale
Carlisle
Carnegie
Carroll Township (Washington County) ..
Carroll Township (York County)
Carrolltown
Castle Shannon
Catasauqua
Calawissa
Cecil Township
Center Township
Center\ille
Central City
Chalfont
Chambersburg
Charleroi
Chartiers Township
Cheltenham Township
Chester
Cheswick
Chippewa Township
Christiana
Churchill
Clarion
Clarks Summit
Clearfield
Cleona
Clifton Heights
Clinton Township
Coaldale
Coal Township
Coatesville
Cochranton
Colebrookdale Township
Collegeville
Collier Township
Collingdale
Columbia
Conemaugh Township (Cambria County) ..
Conemaugh Township (Somerset County) .
Conestoga Township
Conewago Township
Conewango Township
Conyngham
Conyngham Township
Connellsville
Conshohocken
Conway
Coolbaugh Township
Coopersburg
Coplay
Coraopolis
4
15
71
2
10
8
9
5
17
2
5
25
21
4
3
4
1
9
15
3
8
17
2
13
36
17
4
4
1
10
9
3
10
9
4
2
3
28
II
6
90
100
3
8
I
9
9
7
8
2
10
2
3
16
26
2
10
6
9
II
16
1
5
3
5
3
2
17
12
3
9
5
4
12
4
14
62
2
9
6
5
5
16
2
5
24
19
4
3
4
I
6
13
3
8
15
2
13
30
12
4
4
1
9
8
3
10
9
4
2
3
25
10
6
80
90
3
7
1
9
Cornwall
Corry
Coudersport
Covington Township
Crafton
Cranberry Township
Crescent Township
Cresson
Cressona
Cresson Township
Cumberland Township (Adams County) ..
Cumberland Township (Greene County) ..
Cumru Township
Curwensville
Dale
Dallas
Dallas Township
Dalton
Danville
Darby
Darby Township
Daugherty Township
Denver
Derry
Derry Township (Dauphin County)
Derry Township (Mifflin County)
Dickson City
Donegal Township
Donora
Dormont
Douglass Township (Berks County)
Douglass Township (Montgomery County)
Downingtown
Doylestown
Doylestown Township
Du Bois
Duboistown
Duncansville
Dunmore
Dupont
Duquesne
Duryea
East Berlin
East Brandywine Township
East Buffalo Township
East Conemaugh
East Coventry Township
East Deer Township
East Donegal Township
East Earl Township
East Followfield Township
East Hempfield Township
East Lampeter Township
East Lansdowne
East McKeesport
East Norriton Township
Easlon
East Pennsboro Township
East Pikeland Township
East Stroudsburg
East Taylor Township
Easttown Township
East Vincent Township
East Washington
East Whiieland Township
Ebensburg
Economy
Eddystone
Edgeworth
Edinboro
Edwardsville
Elizabeth
Elizabethtown Township
Elizabethville
Ellwood City
3
16
3
2
13
17
I
3
2
1
5
2
24
3
1
5
6
2
9
14
11
1
4
2
34
7
9
1
6
1
2
9
14
17
20
14
1
I
19
1
14
7
7
6
2
3
4
2
5
1
26
25
3
1
25
58
17
4
13
2
14
5
1
14
5
10
6
5
9
6
1
14
1
17
3
12
2
2
9
15
1
3
2
1
5
2
22
3 ,
1 .
5 ,
6 .
2 .
8
12
10
1 .
4 .
2 .
27
7 .
9 .
1 .
6 .
13
2 .
8
11
15
17
9
1 .
1 .
18
1 .
14
4
1
6
6
2
3
1
2
5
1
24
22
3
I
22
49
16
4
12
2
13
5
1
13
5
9
5
4
8
6
I
13
1
13
339
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANIA— Continued
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
Femdale
Findlay Township
Fleetwood
Folcrofl
Ford City
Forest City
Forks Township
Forty Fort
Forward Township
Foster Township
Fountain Hill
Fox Chapel
Frackville
Franconia Township
Franklin (Cambria County)
Franklin (Venango County)
Franklin Park
Franklin Township (Beaver County) ....
Franklin Township (Carbon County) ...
Freedom-Greenfield Township
Freeland
Freemansburg
Freeport
Gallitzin Township
Geistown
Gettysburg
Girard
Glenolden
Granville Township
Greencastle
Greensburg
Green Tree
Greenville
Grove City
Hamburg
Hampden Township
Hampton Township :
Hanover
Hanover Township
Harmar Township
Harmony Township
Harrisburg
Harrison Township
Hatboro
Hatfield Township
Haverford Township
Hazlelon
Hegins Township
Heidelberg
Heidelberg Township (Berks County) ...
Heidelberg Township (Lebanon County)
Hellam Township
Hellertown
Hemlock Township
Hempfield Township
Hermitage
Highspire
Hilltown Township
Hollidaysburg
Homer City
17
2
22
7
223
6
3
2
20
1
3
14
59
3
13
2
18
5
9
4
2
II
6
5
5
6
11
5
8
1
21
4
1
4
2
5
2
2
I
2
15
4
9
5
3
31
11
12
8
7
17
17
16
20
5
4
225
16
18
28
70
26
2
3
I
2
7
10
2
7
30
5
16
12
1
14
1
20
7
191
4
3
2
19
1
3
13
50
2
11
2
12
5
9
4
2
10
5
5
4
6
II
5
7
I
16
4
I
4
2
5
2
2
1
2
13
4
8
5
3
27
10
II
8
6
16
16
14
15
5
4
181
12
13
20
59
23
2
3
i
2
7
9
2
6
25
5
13
7
1
PENNSYLVANIA— Continued
Homestead
Honesdale
Hooversville
Hopewell Township
Horsham Township
Houtzdale
Hughesville
Hummelslown
Huntingdon
Independence Township
Indiana
Indiana Township
Industry
Ingram
Irwin
Jackson Township (Butler County)
Jeannelte
Jefferson
Jefferson Township
Jenkins Township
Jenkintown
Jermyn
Jersey Shore
Jim Thorpe
Johnsonburg
Johnstown
Jones Township
Kane
Kennedy Township
Kennett Square
Kidder Township
Kingston Township
Kittanning
Kline Township
Kulpmont
Kutztown
Lake City
Lake Township
Lancaster
Lansdale
Lansdowne
Lansford
Larksville
Latrobe
Laureldale
Lawrence Park Township
Lawrence Township
Lebanon
Leetsdale
Leet Township
Lehighton
Lehigh Township
Lehman Township
Lemoyne
Lewisburg
Lewistown
Ligonier
Ligonier Township
Lilly
Limerick Township
Lincoln
Lititz
Littlestown
Lock Haven
Locust Township
Logan Township
Lower Allen Township
Lower Alsace Township
Lower Burrell
Lower Chichester Township
Lower Gwynedd Township
Lower Heidelberg Township
Lower Makefield Township
Lower Merion Township
Lower Moreland Township
6
1
10
41
I
3
5
13
2
24
8
4
6
4
2
19
15
3
3
II
I
7
6
5
48
I
5
10
9
8
8
9
2
3
10
3
I
IS4
29
20
5
4
12
3
7
7
43
5
4
9
7
2
6
8
16
2
2
I
II
I
12
6
12
I
20
21
7
13
5
18
4
28
156
28
6
1
10
34
1
3
5
II
2
18
8
4
6
4
2
16
14
3
3
II
I
6
5
5
42
I
5
9
7
8
8
8
2
3
9
3
I
125
22
IS
4
4
II
3
6
7
37
5
4
8
7
2
5
7
14
2
2
I
9
I
10
6
II
I
14
19
7
13
4
16
4
25
129
21
340
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cilv
Tolal
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
PENNSYLVANIA— ConriDiKd
Lower Paxion Township
Lx>wer Pottsgrove Township
Lower Providence Township
Lower Salford Township
Lower Saucon Township
Lower Southampton Township
Lower Swatara Township
Lower Yoder Township
Luzerne
Luzerne Township
Lykcns
Macungie
Mahoning Township (Carbon County)
Mahoning Township (Montour County) ...
Malvern
Manheim
Manheim Township
Manor Township
Mansfield
Marcus Hook
Marietta
Marlborough Township
Marple Township
Mars
Martinsburg
Marysville
Masontown
Matamoras
Mayfield
McAdoo
McCandless
McConnellsburg
McDonald
McKeesport
McKees Rocks
McSherrystown
Meadville
Mechanicsburg
Mechanicsville
Media
Mercer
Mercersburg
Meyersdale
Middlesex Township (Butler County)
Middlesex Township (Cumberland County)
Middletown
Middletown Township
Midland
Mifdinburg
Mifflin Town
Milford
Millboume
Millcreek Township
Millersburg
Millersville
Millville
Milton
Minersville
Mohnton
Monaca
Monessen
Monongahela
Monoreville
Montgomery
Montoursville
Montgomery Township
Montrose
Moon Township
Moore Township
Moosic
Morrisville
Morton
Mount Holly Springs
Mount Jewett
Mount Joy
51
10
32
13
13
28
12
4
4
I
I
4
4
6
6
7
57
15
5
5
2
4
39
2
2
4
4
2
I
2
32
2
2
43
13
4
29
15
I
20
3
2
4
5
7
15
57
5
5
1
2
3
62
4
10
I
II
6
3
5
13
12
63
2
5
36
2
32
5
2
13
6
3
I
10
45
6
9
25
12
9
25
11
1
4
3
1
1
1
4
4
6
5
1
6
1
44
13
14
1
5
4
1
?
3
1
32
7
->
7
4
4
•)
1
■>
26
6
1
■>
41
2
9
4
4
22
7
14
1
1
13
7
3
■>
4
5
7
14
1
46
II
5
5
1
■>
3
51
11
4
9
1
1
10
1
5
1
3
5
12
1
8
4
51
12
7
5
28
8
7
27
5
4
1
7
11
2
5
1
3
1
9
1
PENNSYLVANIA— Continued
Mount Joy Township
Mount Lebanon
Mount Oliver
Mount Penn
Mount Pleasant
Mount Pocono
Mount Union
Muhlenberg Township
Munhall
Murrysville
Myerstown
Nanticoke
Nanty Glo
Narberth
Nazareth Area
Neshannock Township
Nesquehoning
Nether Providence Township
Neville Township
Newberry Township
New Bethlehem
New Brighton
New Britain
New Britain Township
New Castle
New Cumberland
New Eagle
New Freedom
New Hanover Township
New Holland
New Hope
New Kensington
New Oxford
Newport
Newport Township
New Sewickley Township
Newton Township
Newtown
Newtown Township (Bucks County) ...
Newtown Township (Delaware County)
Newville
New Wilmington
Norristown
Northampton
Northampton Township
North Belle Vernon
North Bethlehem Township
North Braddock
North Charleroi
North Cornwall Township
North Coventry Township
North East
Northeastern Berks Regional
Northeastern Regional
Northern York Regional
North Fayette Township
North Franklin Township
North Huntingdon Township
North Lebanon Township
North Londonderry Township
North Middleton Township
North Sewickley Township
North Strabane Township
North Versailles Township
North Wales
Norwegian Township
Norwood
Oakdale
Oakmont
O'Hara Township
Ohioville
Oil City
Old Forge
Old Lycoming Township
Oley Township
6
55
5
4
3
2
5
24
21
21
4
15
2
6
13
6
3
12
8
11
2
10
2
13
32
8
3
3
5
9
8
30
2
2
3
6
3
5
I
14
2
4
82
13
41
2
1
4
2
8
9
7
7
7
37
18
7
25
8
6
6
2
9
12
3
1
7
1
9
12
2
19
7
8
1
12
1
3?
8
3
3
5
8
1
7
1
24
6
?
?
3
5
1
3
5
16
2
13
1
?
4
69
13
9
4
36
5
7
4
7
8
8
1
6
1
7
6
1
33
4
13
5
7
19
6
7
1
6
6
7
9
17
3
6
1
1
7
2
I?
7
17
2
6
1
7
1
'
341
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANIA— Continued
PENNSYLVANIA— Continued
Olyphant
Orangeville
Orwigsburg
Oxford
Paint Township
Palmerton
Palmer Township
Palmyra
Parkside
Patterson
Patten
Patten Township
Paxtang
Pen Argyl
Penbrook
Penn Hills
Penn Township (Butler County)
Penn Township (Lancaster County)
Penn Township (Westmoreland County)
Penn Township (York County)
Pennridge Regional
Pequea Township
Perkasie
Perryopolis
Peters Township
Philadelphia
Philipsburg
Phoenixville
Pine Grove
Pine Township
Pitcairn
Pittsburgh
Plainfield Township
Plains Township
Pleasant Hills
Plum
Plumstead Township
Plymouth
Plymouth Township
Pocono Township
Point Marion
Point Township
Portage
Port Carbon
Pottslown
Pottsville
Prospect Park
Punxsutawney
Pymaluning Township
Ouakertown
Raccoon Township
Radnor Township
Rankin
Reading
Red Lion
Redstone Township
Reserve Township
Reynoldsville
Richland
Richland Township (Allegheny County)
Richland Township (Cambria County) ..
Ridgway
Ridley Park
Ridley Township
Riverside
Roaring Spring
Robeson ia-Heidelberg
Robeson Township
Robinson Township
Rochester
Rochester Township
Rockledge
Rosslyn Farms
Ross Township
Rostraver
6
I
4
6
2
9
24
8
2
4
2
II
3
3
6
63
4
5
19
17
14
2
II
2
22
7,101
2
25
3
12
3
1,152
6
9
18
23
6
6
40
11
1
4
2
4
46
33
8
12
4
16
3
58
1
225
8
1
3
2
1
10
20
6
9
43
3
1
2
3
22
II
1
4
2
49
10
1
4
6
2
8
1
19
5
8
2
4
2
10
1
3
3
6
55
8
3
1
5
17
2
16
1
13
1
2
10
1
2
17
5
6,233
868
2
23
2
3
11
1
3
1,095
57
6
9
14
4
18
5
6
6
33
7
10
1
1
4
2
4
38
8
29
4
8
5
14
2
48
10
193
32
1
1
18
2
6
8
1
33
10
3
1
2
3
17
5
9
1
2
4
7
Royersford
Rush Township
Rye Township
Saegertown
St. Clair
St. Marys
Salisbury Township
Sandy Lake
Sandy Township
Saxonburg
Sayre
Schuylkill Haven
Schuykill Township
Scottdale
Scott Township (Allegheny County)
Scott Township (Lackawanna County)
Scranton
Selinsgrove
Seven Springs
Sewickley
Shaler Township
Shamokin
Shamokin Dam
Sharon
Sharon Hill
Sharpsburg
Sharpsville
Sheffield Township
Shenango Township (Lawrence County)
Shenango Township (Mercer County)
Shillington
Shippensburg
Shiremanstown
Silver Spring Township
Sinking Spring
Slatington
Slippery Rock
Smith Township
Snyder Township
Solebury Township
Somerset
Souderton
South Abington Township
South Beaver Township
South Centre Township
South Coatesville
Southern
South Fayette Township
South Fork
South Greensburg
South Lebanon Township
South Londonderry Township
SouthmonI
South Park Township
South Waverly
Southwest Greensburg
S.W. Mercer County Police Department
South Whitehall Township
South Williamsport
Spring City
Springdale
Springettbury Township
Springfield Township (Bucks County)
Springfield Township (Delwarc County)
Sprmgfield Township (Montgomery County)
Spring Garden Township
Spring Township (Berks County)
Spring Township (Centre County)
State College
Steelton
Stoneboro
Stoneycreek Township
Stowe Township
Slrasburg
Stroudsburg
7
1
1
1
6
8
11
5
1
9
U
6
6
24
3
146
4
5
17
40
15
3
30
9
6
6
2
4
3
g
g
2
12
4
6
5
2
1
9
7
6
10
2
5
2
7
14
1
2
6
3
2
16
2
2
16
38
6
5
3
28
4
35
31
18
18
4
72
11
1
3
9
3
16
6
1 ,
1 ,
I ,
6 .
7
10
1 .
5 ,
1 .
g
7
5
6 ,
Ig
3 ,
140
3
5 .
9
30
11
3 .
24
g
5
5
2 .
4 .
2
7
7
2 .
II
4 .
6 ,
5 .
2 .
1 .
8
6
5
9
2 .
5 .
2 .
6
13
1 .
2 .
6 .
3 .
2 ,
15
2 .
2 .
14
34
6 .
4
3 .
25
4 .
33
30
17
17
4 ,
55
10
I .
3 .
9 .
3 .
12
342
Table 78. — Number of Full-time Ljw Enforcement Employees. Cities, October 31, 1992— Continued
Cilv
PENNSYLVANIA— CoBliniMd
Stroud Township
Sugarcreek
Sugarloar Township
Summerhill Township
Summit Hill
Sunbun
Susquehanna Township
Swanhmore
Swalara Township
Swissvale
Swoyersville
Tamaqua
Tarenlum
Taylor
Telford
Temple
Thombury Township
Tidioute
Tinicum Township (Bucks County)
Tinicum Township (Delware County)
Titusville
Tobyhanna Township
Towamencin Township
Towanda
TrafTord
Trainer
TredyfTrin Township
Troy
Tullylown
Tunkhannock
Tunkhannock Township
Turtle Creek
Tyrone
Union City
Union Township (Mifflin County)
Union Township (Washington County)
Upland
Upper Allen Township
Upper Chichester Township
Upper Darby Township
Upper Dublin Township
Upper Gwynedo Township
Upper Makefield Township
Upper Merion Township
Upper Moreland Township
Upper Mount Bethel Township
Upper Nazareth Township
Upper Perkiomen
Upper Potlsgrove Township
Upper Providence Township (Delaware
County)
Upper Providence Township (Montgomery
County)
Upper St. Clair Township
Upper Saucon Township
Upper Southhampton Township
Upper Uwchlan Township
Upper Yoder Township
Uwchlan Township
Vandergrift
Vanport Township
Vernon Township
Verona
Versailles
Walnutport
Warminster Township
Warren
Warrington Township
Warwick Township (Bucks County)
Warwick Township (Lancaster County)
Washington
Washmgton Township (Fayette County)
Washington Township (Northhampton County)
Waisoniown
Waynesboro
Total
police
employees
17
4
2
1
3
20
32
9
30
14
5
14
12
7
6
3
I
1
4
14
14
9
19
4
1
4
57
3
11
5
1
9
9
7
1
6
1
15
22
135
41
16
7
69
45
6
2
7
4
II
11
33
14
24
4
6
19
8
3
4
3
2
3
50
22
16
9
14
29
2
2
4
16
Total
officers
15
4
2
3
14
30
9
28
10
4
10
7
7
5
2
1
1
4
12
13
g
17
4
1
4
50
3
9
5
1
6
5
4
1
6
1
14
19
105
35
15
7
54
36
6
2
7
4
II
10
27
13
21
4
6
17
8
3
4
2
2
3
45
19
14
8
12
28
2
2
4
15
Total
civilians
City
PENNSYLVANIA— Continued
Waynesburg
Wealherly
Wellsboro
Wemersville
Westeyville
West Brandywine Township
West Chester
West Conshohocken
West Deer Township
West Donegal Township
West Earl Township
West Fairview
Weslfall Township
West Goshen Township
West Grove
West Hempfield Township .
West Hills Regional
West Homestead
West Lampeter Township ..
West Manchester Township
West Manheim Township . .
West Mayfield
West Middlesex
West Mifflin
West Norrilon Township . . .
West Pittston
West Pottsgrove Township .
West Reading
Westtown Township
West View
West Whiteland Township .
West Wyoming
West York
Whitehall
Whitehall Township
White Haven
Whitemarsh Township
White Oak
Whitpain Township
Wiconisco Township
Wilkes-Barre
Wilkes-Barre Township
Wilkinsburg
Wilkins Township
Williamspon
Williamstown
Willistown Township
Wilmerding
Wilson
Windber
Wind Gap
Windsor Township
Wormleysburg
Wrightsville
Wyomissing
Wyomissing Hills
Yardley
Yeadon
York
York Springs — Latimore
York Township
Youngsville
Zelienople
Total
police
employees
RHODE ISLAND
Barrington
Bristol
Burrillville
Central Falls ..
Charlestown . . .
Coventry
Cranston
Cumberland ...
East Greenwich
7
3
6
2
3
7
51
5
6
5
3
2
2
25
3
16
7
9
7
22
6
1
I
31
28
9
6
8
15
12
21
2
6
23
52
1
32
10
27
107
13
32
11
55
I
15
2
7
3
3
9
7
2
22
4
3
17
106
3
25
2
9
30
44
23
37
21
64
176
49
35
Total
officers
Total
civilians
7
34
17
s
5
1
5
3
?
7
22
3
3
14
2
7
5
4
7
20
2
6
1
1
25
6
24
4
5
4
6
7
1
14
1
9
3
19
2
?
6
18
5
39
1
13
28
4
10
24
1
3
91
16
9
4
25
7
II
51
4
14
1
?
7
2
1
3
8
1
5
2
7
17
5
4
3
16
1
93
13
3
22
3
7
8
1
24
6
34
10
17
6
36
1
16
5
49
15
143
33
41
8
27
8
343
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Ciiy
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
RHODE ISLAND— Continued
East Providence . .
Foster
Glocester
Hopklnton
Jamestown
Johnston
Lincoln
Little Compton ...
Middletown
Narragansett
Newport
New Shoreham ...
North Kingstown .
North Providence
North Smithfieid .
Pawtucket
Portsmouth
Providence
Richmond
Scituate
Smithfield
South Kingstown .
Tiverton
Warren
Warwick
Westerly
West Greenwich ..
West Warwick
Woonsocket
SOUTH CAROLINA
Abbeville
Aiken
Allendale
Anderson
Andrews
Atlantic Beach ..
Aynor
Bamberg
Barnwell
Batesburg
Beaufort
Belton
Bennettsville
Bethune
Bishopville
Blacksburg
Blackville
Bluffton
Bonneau
Bowman
Branchville
Briarcliffe Acres
Brunson
Calhoun Falls ..
Camden
Campobello
Cayce
Central
Chapin
Charleston
Cheraw
Chesnee
Chester
Chesterfield
Clemson
Clinton
Clover
Columbia
Conway
Cowpens
Darlington
[>enmark
Dillon
110
89
11
7
13
9
15
10
14
12
76
58
35
30
12
8
41
38
44
34
111
88
7
3
60
49
69
54
23
18
174
144
29
27
473
421
6
5
21
15
43
34
57
43
29
20
28
21
216
164
44
37
II
7
60
54
113
105
19
104
13
87
14
4
9
8
II
15
36
20
31
1
18
5
5
4
1
2
I
1
1
7
31
1
49
5
I
369
28
9
22
5
28
30
18
314
40
8
28
8
22
14
83
8
64
10
4
4
7
10
II
33
15
28
I
13
4
4
4
1
2
1
I
6
24
1
36
5
1
269
23
5
19
4
22
28
13
263
32
7
24
8
18
13
100
5
4
3
I
6
2
5
51
8
I
4
SOUTH CAROLINA— Continued
Due West
Duncan
Easley
Edgefield
Edisto Beach
Ehrhardt
Elgin
Elloree
Estill
Eutawville
Fairfax
Florence
Folly Beach
Forest Acres
Fort Lawn
Fort Mill
Fountain Inn
Gaffney
Gaston
Georgetown
Goose Creek
Great Falls
Greenville
Greenwood
Greer
Hampton
Hanahan
Hardeeville
Harleyville
Hartsville
Heath Springs
Hemingway
Holly Hill
Honea Path
Inman
Irmo
Isle of Palms
Iva
Jackson
Jamestown
Jefferson
Johnsonville
Johnston
Jonesville
Kershaw
Kingstree
Lake City
Lake View
Lamar
Lancaster
Landrum
Latta
Laurens
Leesville
Lexington
Liberty
Loris
Lyman
Manning
Marion
Mauldin
McBee
McColl
McCormick
Moncks Comer
Mount Pleasant
Mulhns
Myrtle Beach
Newberry
New Ellcnton
Ninety Six
North
North Augusta
North Charleston
North Myrtle Beach
4
6
31
13
3
3
1
5
9
4
5
88
12
32
1
18
18
32
1
38
41
7
194
60
44
9
29
13
2
38
1
8
10
15
5
17
24
6
4
2
4
8
11
3
9
19
28
3
3
41
8
9
25
7
16
II
12
6
16
27
31
2
8
6
21
79
21
121
29
6
9
2
57
218
65
4
5
27
9
3
2
1
5
8
2
5
72
7
25
1
13
13
24
1
33
31
6
159
51
33
8
21
9
2
34
1
5
6
II
5
16
17
5
4
2
4
4
7
3
5
14
22
3 .
3 .
34
7
6
24
7 .
16 .
7
7
5
14
20
25
I
3
6 .
17
59
17
94
27
6 .
6
2 .
45
162
49
344
Table 78. — Number of Full-lime Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cily
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
SOUTH CAROUNA— CoatiaiKd
Norway
4
53
2
16
5
6
11
-)
13
4
7
3
2
105
9
6
5
1
8
7
3
1
26
33
6
4
164
7
8
7
37
99
14
12
9
17
1
41
2
5
4
13
31
9
5
39
9
3
1
5
16
7
25
15
2
26
51
8
7
4
30
2
4
9
12
3
4
3
3
1
6
3
43
->
II
3
6
10
1
11
4
6
3
2
87
8
6
5
1
1
8
5
t
1
23
25
4
3
122
7
6
5
34
69
10
8
6
12
1
32
1
3
4
12
22
8
5
30
9
3
1
5
16
6
21
10
2
21
38
4
6
25
10
1
10
SOUTH DAKOTA— Continued
Huron
26
1
8
13
3
4
30
10
1
2
27
112
2
170
16
12
22
29
18
37
8
24
4
8
7
28
64
4
2
22
42
63
27
4
11
15
508
7
157
81
9
44
4
72
2
4
23
2
16
61
40
I
9
13
14
23
65
1
48
1
38
61
4
35
3
7
13
12
67
10
31
14
22
1
7
10
2
4
22
6
2
22
88
2
143
11
11
16
25
8
22
5
22
4
5
7
26
43
3
2
17
33
55
21
4
7
11
368
7
137
65
9
32
3
57
4
19
2
12
46
33
1
9
9
9
19
52
1
38
1
30
49
4
26
3
6
8
12
49
10
25
10
4
Orangeburg
Kadoka
Pacolet
Lead
1
5
2
3
Pamplico
[
Miller
1
1
2
Mitchell
g
Pine Ridge
4
Pon Roval
Parker
Prosperity
Parkston
R idgeland
1
5
'4
Ridgewav
Salem
Rock Hill
18
1
Sioux Falls
27
Si George
5
1
Si. Stephens
Vermillion
d
Salley
10
Saluda
Sanlee
2
1
TENNESSEE
Sellers
3
8
2
1
42
3
Simpsonville
Alcoa . . .
2
Society Hill
Algood
3
Ashland City
2
2
2
3
30
4
4
3
5
Bartiett
21
Summerton
Benton
1
Bethel Springs
5
Brentwood
9
Tega Cay
g
6
Travelers Rest
Bruceton
Union
9
1
2
Centerville
4
Vance
Chattanooga ... ....
140
Vamville
Church Hill
Clarksville
20
Walhalla
1
9
1
Cleveland
16
Walteboro
Collegedale
Ware Shoals
12
Wellford
Collinwood
West Columbia
9
Cookeviiie
15
1
West Pelzer
Cowan
4
Whitmire
Williamslon
Dayton
4
Willislon
1
4
5
15
WoodrufT
East Ridge
7
Elkton
Erwin
York
5
13
4
1
Etowah
4
SOUTH DAKOTA
Aberdeen
Fairview
5
Fayetteville
4
Franklin
13
Friendsville
Gallatin ,
10
Bon Elder
Gallaway ,
g
Brookings
5
Germantown .. ..
12
Gleason ,
9
4
2
Grand Junction
Deadwood
Halls
I
Eagle Butte
Hartsville
5
Eureka
Henderson
Hendersonville
Hohenwald
Humboldt ,
Huntingdon ,
18
6
4
Hot Springs
1
345
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992— Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
TENNESSEE— Continued
Huntland
Jackson
Jasper
JefTerson City
Jellico
Johnson City
Jonesborough
Kenton
Kimball
Kingsport
Lafayette
La Follette
Lake City
La Vergne
Lawrenceburg
Lexington
Livingston
Manchester
Martin
Maryville
McKenzie
McMinnville
Memphis
Milan
Millersville
Millington
Minor Hill
Morristown
Mount Pleasant
Murfreesboro
Nashville
Newbern
New Johnsonville
New Tazewell
Oak Ridge
Obion
Oliver Springs
Pigeon Forge
Portland
Pulaski
Red Bank
Rockwood
Rutherford
Savannah
Sewanee
Sharon
Shelby ville
Signal Mountain
Smyrna
Soddy-Daisy
Somerville
South Carthage
South Fulton
Sparta
Spring City
Springfield
Sweetwater
Tazewell
Town of Decaturville
Trenton
Trimble
Tullahoma
Union City
Waverly
Westmoreland
Wmchester
Woodbury
TEXAS
Abernathy
Abilene
Addison
Alamo
Alamo Heights
TEXAS — Continued
3
201
10
13
7
151
14
5
9
130
14
23
9
22
39
27
15
27
22
39
15
40
1,710
20
6
30
4
56
12
119
1,393
14
4
5
55
3
13
40
17
26
21
15
4
23
12
3
36
15
35
17
II
4
7
21
10
34
18
5
1
21
2
36
35
12
7
19
9
3
225
60
22
25
3
150
7
12
7
126
10
5
5
91
II
17
7
16
29
22
14
26
17
35
12
32
1,371
16
4
24
2
51
10
94
1,043
9
4
5
46
3
13
32
13
20
19
II
4
15
8
3
29
13
25
15
9
4
5
15
5
27
14
5
1
IS
2
29
26
8
3
15
7
4
39
3
6
2
6
10
5
1
1
5
4
3
8
339
4
2
6
2
5
2
25
350
5
Alice
Allen
Alpine
Alto
Alvarado
Alvin
Amarillo
Andrews
Angleton
Anson
Anthony
Aransas Pass
Arlington
Arp
Athens
Atlanta
Austin
Azie
Balch Springs
Balcones Heights
Ballinger
Bangs
Bastrop
Bay City
Bayou Vista
Baytown
Beaumont
Bedford
Beeville
Bellaire
Bellmead
Bellville
Belton
Benbrook
Bertram
Beverly Hills ..,,
Big Sandy
Big Spring
Bishop
Blanco
Blue Mound
Boeme
Bonham
Borger
Bowie
Brady
Brazoria
Breckenridge
Brenham
Bridge City
Bridgeport
Brookshire
Brownfield
Brownsville
Brownwood
Bryan
Burkbumett
Burleson
Burnet
Caddo Mills
Caldwell
Cameron
Caney City
Canton
Canyon
Carrollton
Carthage
Castle Hills
Cedar Hill
Cedar Park
Celina
Center
Childress
Cisco
Clarksville
42
33
34
23
13
7
2
2
11
6
41
32
330
2S2
16
14
38
28
5
4
6
6
22
17
479
370
2
2
28
21
17
12
1,159
825
24
17
27
16
25
19
8
5
11
9
44
33
4
4
147
110
283
233
83
60
25
19
SO
37
18
13
9
7
28
20
40
32
7
6
3
3
62
40
8
4
2
2
9
S
12
11
20
14
28
20
16
11
13
8
13
8
14
9
38
27
18
13
11
6
9
7
20
IS
218
162
41
29
100
84
17
12
41
33
9
8
3
3
8
7
12
8
2
2
12
8
16
14
178
127
18
12
24
20
3S
28
18
13
12
4
19
13
14
9
8
7
7
7
346
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
TEXAS— Continued
TEXAS— Continued
Clebume
Cleveland
Clifton
Clule
Cockrell Hill
Coleman
College Station
Colleyville
Colorado City
Columbus
Comanche
Combes
Commerce
Conroe
Converse
Coppell
Copperas Cove
Corinih
Corpus Christi
Corngan
Corsicana
Crane
Crockett
Crowley
Crystal City
Cuero
Damgerfield
Dalharl
Dallas
3alworthington Gardens
Dayton
Decatur
Deer Park
De Kalb
Del Rio
Denison
Denton
Denver City
Jesoto
)evine
Jiboll
Dickinson
)immilt
>onna
Dublin
)umas
)uncanville
^gle Lake
iagle Pass
^rly
^nh
iastland
!dcouch
:den
dgewood
dinburg
dna
I Campo
lectra
Igin
I Paso
Isa
nnis
uless
verman
airfiled
alfurrias
armers Branch
'armersville
lerris
Ilorence
[loresville
lower Mound
loydada
oresl Hill
51
21
6
27
14
12
95
28
13
6
10
3
23
75
I
32
57
9
518
10
44
II
15
22
12
II
6
15
3,604
7
16
14
55
6
63
50
127
12
62
13
14
22
9
24
7
27
77
6
51
6
2
10
5
3
3
65
10
26
8
14
1.051
15
33
82
17
8
9
77
4
15
1
7
37
4
29
37
13
5
19
9
9
70
21
7
5
6
3
18
59
17
25
42
8
374
6
36
6
10
16
7
10
5
10
2,882
7
10
10
43
5
56
42
104
7
43
7
9
17
7
15
6
21
51
5
39
5
2
8
5
2
3
42
9
19
4
10
828
9
26
54
12
6
8
65
4
11
1
7
29
4
20
5
16
1
7
15
1
144
4
8
5
5
6
5
I
1
5
722
23
1
7
4
4
223
6
7
28
5
2
1
12
Forney
Fort Stockton ..
Fori Worth
Frankslon
Fredericksburg ..
Freeport
Freer
Friendswood
Friona
Frisco
Gainesville
Galena Park
Galveston
Garland
Gatesville
Georgetown
Giddings
Gilmer
Gladewater
Glenn Heights ..
Gonzales
Gorman
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
Heame
Heath
Hedwig Village ..
Helotes
Hemphill
Hempstead
Henderson
Hereford
Hewitt
Hico
Hidalgo
Highland Park ...
Highland Village
Hill Country
Hillsboro
Hitchcock
Holland
Hollywood Park .
Hondo
Hooks
Horizon City
Horseshoe Bay . .
Houston
Hubbard
Humble
Huntington
Huntsville
Hurst
Hutchins
Hutto
Idalou
Ingleside
Iowa Colony
Iowa Park
Irving
12
24
1,376
8
19
33
9
49
10
19
38
23
198
334
15
40
14
10
20
12
13
2
14
18
221
4
3
80
62
5
16
2
12
3
5
58
8
28
107
3
19
5
21
5
2
11
32
27
22
3
31
63
18
6
23
15
1
9
15
4
4
7
6,021
4
53
4
46
85
15
4
4
14
21
15
362
16
1,027
5
17
26
5
39
6
14
30
18
164
245
10
28
9
8
14
7
8
2
13
15
150
4
3
55
47
4
15
2
10
3
4
45
4
21
82
3
U
5
15
5
2
8
26
23
15
3
21
53
12
6
18
10
I
9
13
4
4
6
4,201
3
42
4
34
55
10
4
4
10
18
10
256
347
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
TEXAS — Continued
TEXAS— Continued
Jacinto City
Jacksboro
Jacksonville
Jamaica Beach .
Jasper
Jefferson
Jersey Village ...
Johnson City ...
Joshua
Jourdanton
Junction
Katy
Kaufman
Keene
Keller
Kemah
Kemp
Kennedale
Kermit
Kerrville
Kilgore
Kllleen
Kingsvllle
Kirby
Kirbyville
Kountze
Kyle
Lacy-Lakeview ..
La Feria
Lago Vista
La Grange
La Joya
L.ake Dallas
Lake Jackson ...
Lakeside
l-akeview
Lakeway Village
Lake Worth ....
La Marque
Lamesa
Lampasas
Lancaster
La Porte
Laredo
La Vemia
U Villa
Lavon
League City
Leander
Leon Valley
Levelland
Lewisville
Lexington
Liberty
Lindale
Littlefield
Live Oak
Livingston
Llano
Lockhart
Lockney
Lone Star
Longview
Lorena
lx)S Fresnos
Lubbock
LufVin
Luling
Lumberton
Madisonville
Malakoff
Manor
Mansfield
Manvel
Marble Falls
19
g
32
5
21
6
20
2
7
5
4
22
17
II
31
g
4
16
14
51
35
15g
60
14
3
4
4
15
12
12
7
11
14
45
3
15
17
24
29
22
16
4g
66
255
1
5
5
54
11
34
26
108
1
19
10
16
24
16
7
12
2
3
179
3
12
350
79
13
10
7
4
3
37
7
16
14
6
23
5
14
5
13
2
7
5
4
Ig
12
7
22
5
4
12
9
41
28
122
42
10
3
4
4
9
8
7
6
6
8
31
2
II
12
19
22
16
9
37
49
220
1
4
4
40
7
26
20
75
1
12
6
10
19
9
6
12
2
3
127
3
7
306
60
7
9
6
4
3
27
7
11
52
10
Marlin
Marshall
Mart
Martindale
Mathis
McAllen
McGregor
McKinney
Meadows
Memphis
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
Northcrest
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
Pcrrylon
Pfiugerville
Pharr
Pilot Point
Pinehurst
Pittsburg
Plainview
Piano
Pleasanton
Port Aransas
Port Arthur
14
10
59
43
4
4
2
2
7
5
247
164
12
7
44
32
10
9
3
2
27
19
2
2
3
3
218
161
16
11
188
157
21
16
11
9
32
25
55
41
53
39
20
13
8
7
5
5
25
18
12
6
2
2
62
48
2
2
20
15
21
11
27
18
6
5
11
7
62
45
9
5
2
2
4
4
100
72
5
5
239
168
11
11
10
5
3
3
4
4
56
45
4
3
3
3
7
4
8
4
9
6
43
33
3
3
33
26
3
3
IS
10
66
45
261
207
51
38
10
9
24
17
17
9
13
9
85
62
4
4
11
6
9
8
38
31
234
183
15
11
IS
9
148
110
tJ^O
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
TEXAS— Continued
Port Isabel
Portland
Port Lavaca
Port Neches ....
Poteei
Premont
Primera
Princeton
Quanah
Quinlan
Quitman
Ranger
Ransom Canyon
Raymondville ...
Red Oak
Refugio
Richardson
Richland Hills ..
Richmond
Richwood
River Oaks
Roanoke
Robinson
Robstown
Rockdale
Rockport
Rockwall
Rollingwood
Roma
Roman Forest . . .
Ropesville
Roscoe
Rosebud
Rose City
Rosenberg
Round Rock
Rowlett
Royse City
Rusk
Sabinal
Sachse
Saginaw
San Angelo
San Angelo Park
San Antonio
San Augustine
San Benito
Sanger
Jan Juan
San Marcos
Sansom Park Village
Santa Anna
ianta Fe
khertz
jeabrook
jeadrift
ieagoville
ieagraves
iealy
ieguin
ielma
jemmole
^ven Points
ihallowater
ihamrock
ihavano Park
ihenandoah
iherman
iilsbee
nnlon
llaton
■mithville
■nyder
K)merset
omerville
23
17
32
20
24
18
20
17
5
4
4
4
3
3
6
5
4
4
5
4
7
6
4
4
17
10
12
7
5
4
225
146
24
18
23
16
7
6
23
16
5
5
17
12
28
21
13
9
23
17
33
20
5
4
22
15
2
1
1
1
1
3
1
3
54
41
62
45
48
36
6
5
10
9
2
2
15
10
22
16
195
157
2
2
926
1,545
5
5
33
27
7
7
25
19
66
49
15
9
18
13
24
18
24
'\
16
12
3
3
II
10
52
34
8
7
II
10
10
6
2
2
6
2
5
5
5
5
74
55
19
14
10
9
14
8
II
6
20
15
2
2
4
4
381
TEXAS— Continued
Sonora
Sour Lake
South Houston
Southlake
South Padre Island ...
Southside Place
Spearman
Springtown
Spring Valley
Spur
StafTord
Stamford
Stanton
Stephenville
Stinnett
Stratford
Sugar Land
Sulphur Springs
Sunset Valley
Surfside Beach
Sweeny
Sweetwater
Tafl
Tahoka
Tatum
Taylor
Teague
Temple
Terrell
Terrell Hills
Texarkana
Texas City
The Colony
Tomball
Trinity
Trophy Club
Troup
Tulia
Tye
Tyler
Universal City
University Park
Uvalde
Van
Vernon
Victoria
Vidor
Village
Village of Jones Creek
Waco
Wake Village
Waller
Wallis
Watauga
Waxahachie
Weatherford
Webster
Weimar
Weslaco
West
West Columbia
West Lake Hills
West Orange
Westover Hills
West University Place
Westworth
Wharton
Whitehouse
White Oak
Whitesboro
White Settlement
Whitney
Wichita Falls
Willow Park
Wills Point
7
5
8
7
42
32
27
20
26
19
9
5
7
4
8
4
21
15
2
2
32
23
9
7
4
4
35
28
3
3
3
3
71
56
38
31
3
3
5
5
6
5
25
21
4
4
4
4
5
2
22
15
5
5
120
97
35
26
17
17
89
80
82
71
35
25
24
19
9
5
7
6
5
4
11
6
2
2
172
128
34
25
42
34
25
21
4
4
29
22
131
99
28
21
33
28
4
4
257
192
5
5
8
7
3
3
38
28
43
33
48
34
40
28
5
5
48
38
4
4
10
7
17
12
9
g
13
12
27
20
8
4
27
18
9
7
15
11
11
7
34
25
6
5
232
160
3
3
7
6
349
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cily
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
ofTicers
TEXAS — Continued
Wilmer ...
Windcrest .
Winnsboro
Winters ...
WolfTorth .
Woodville .
Woodway .
Wylie
Yoakum . .
Yorktown .
UTAH
Alpine
American Fork .
Beaver
Bountiful
Brigham City ...
Cedar City
Cenlerville
Clearfield
Clinton
East Carbon
Ephraim
Farmington
Garland
Grantsville
Gunnison
Harrisville
Heber City
Hiidale
Hurricane
Kanab
Kaysville
Layton
Uhi
Logan
Mantua
Mapleton
Midvale
Moab
Monticello
Moroni
Mount Pleasant
Murray
Naples
Nephi
North Ogden ...
North Salt Lake
Ogden
Orem
Park City
Parowan
Payson
Pleasant Grove .
Pleasant View . .
Price
Provo
Richfield
Riverdale
Roosevelt
Roy
Saint George ...
Salem
Salina
Salt Lake City ..
Sandy
Santaquin
South Jordan ...
South Ogden ...
South Salt Lake
Spanish Fork ...
Springville
Stockton
Sunset
UTAH— Continued
4
19
4
39
27
18
12
23
7
3
4
8
I
7
2
5
8
6
7
4
12
48
10
50
I
4
25
10
3
2
4
62
4
6
12
9
116
81
24
2
12
14
5
16
101
11
17
9
33
51
4
3
429
80
3
10
24
43
16
18
I
9
4
17
4
30
22
17
10
20
6
3
4
7
1
6
2
4
6
4
5
4
10
39
9
41
I
4
22
9
3
I
4
53
3
5
10
8
104
60
16
2
II
13
4
14
69
9
15
8
24
38
4
3
353
69
3
8
19
33
15
13
1
8
Syracuse
Tooele
Tremonlon
Vernal
Washington Terrace
Wendover
West Bountiful
West Jordan
West Valley
Woods Cross
Barre
Barre Town
Bellows Falls
Bennington . ,
Brandon
Bristol
Burlington . . .
Castleton —
Chester
Dover
Hardwick
Hartford
Ludlow
Lyndonville . .
Manchester ..
Middlebury ..
Milton
Newport
Northfield . . .
Norwich
Randolph
Richmond . . .
Rutland
St. Albans ...
St. Johnsbury
Shelbume
Springfield ...
Swanton
Vergennes
Vernon
Waterbury ...
Weathersfield
Williston
Windsor
Winhall
Woodstock ...
Abingdon
Alexandria
AltaVista
Amherst
Appalachia
Arlington
Ashland
Bedford
Berry ville
Big Stone Gap
Blacksburg
Blackstone
Bluefield
Bowling Green
Bridgewater
Bristol
Brookneal
Buchanan
Buena Vista ...
Burkeville
Cape Charles ..
Cedar Bluff ....
Charlottesville .
VERMONT
VIRGINIA
4
23
8
16
13
6
6
47
123
7
22
7
12
29
6
2
123
1
4
6
7
26
9
1
13
13
12
11
3
5
4
3
45
20
16
IS
20
4
3
2
3
1
2
11
4
6
4
19
6
13
10
5
5
44
103
6
18
16
364
259
14
10
3
3
8
7
401
321
21
18
26
19
8
7
19
12
63
48
16
12
14
10
2
2
6
6
55
43
3
3
16
12
3
3
4
4
2
2
121
97
350
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
olTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
VIRGINIA— Continued
VIRGINIA— Continued
Chase City
Chatham
Cheasapeake
Chilhowie
Chincoteague
Chnstiansburg ...
Clarksville
Clifton Forge ....
Clintwood
Coebum
Colonial Beach ..
Colonial Heights
Courtland
Covington
Crewe
Culpeper
Damascus
Danville
Dayton
Dublin
Dumfries
Edinburg
Elkion
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
Hemdon
Hillsvllle
Honaker
Hopewell
Hurt
Independence
Iron Gate
Jonesville
Kenbridge
Kilmarnock
La Crosse
Lawrenceville
Lebanon
Leesburg
Lexington
Louisa
Luray
Lynchburg
Manassas
Manassas Park ..
Marion
Martinsville
McKenney
Middleburg
Middletown
Mount Jackson ..
Narrows
New Market
Newport News ..
Norfolk
Norton
II
3
334
6
10
34
g
13
3
8
12
48
3
21
5
35
1
114
3
g
10
2
9
26
3
75
38
24
31
78
1
36
26
3
3
I
5
3
2
4
4
316
62
1
45
6
3
52
3
2
1
3
5
4
1
5
8
36
20
2
13
185
79
19
20
57
I
3
I
3
5
3
389
766
19
7
3
276
6
8
26
5
10
3
7
8
37
1
15
5
27
1
100
2
7
9
2
5
19
3
60
28
16
23
56
1
28
20
3
3
1
5
3
2
4
4
205
48
1
35
6
3
40
3
2
1
3
5
4
I
5
7
32
15
2
12
140
63
12
16
51
1
3
1
3
5
3
291
671
14
58
22
111
14
10
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
Saltville
Shenandoah
Smithfield
South Boston
South Hill
Stanley
Staunton
Stephens City ...
Strasburg
Suffolk
Tappahannock ...
Tazewell
Urbanna
Victoria
Vienna
Vinton
Virginia Beach . .
Warrenton
Warsaw
Waverly
Waynesboro
Weber City
Williamsburg
Winchester
Wise
Woodstock
Wytheville
WASHINGTON
Aberdeen
Algona
Anacortes
Arlington
Auburn
Battle Ground .
Bellevue
Bellingham
Black Diamond
Blaine
Bonney Lake ..
Bothell
Bremerton
Brewster
Brier
Buckley
Burlington
Camas
Carnation
Castle Rock
Centralia
3
1
13
3
6
1
9
151
2
21
271
4
34
6
3
36
1
21
700
298
12
1
6
76
5
4
16
19
21
3
57
2
12
124
5
12
1
4
49
24
827
24
2
4
50
2
39
65
12
II
31
47
7
30
10
91
9
217
143
6
14
20
44
74
7
9
17
22
17
5
5
26
3
1
13
3
6
1
5
102
2
16
199
4
26
6
3
26
1
15
628
256
12 .
1 ,
6
57
5 ,
4
10
15
16
3
43
2
9
95
5
10
1
4
38
17
617
18
2
4
46
2
28
51
II
10
23
36
6
17
9
67
8
144
90
5
12
14
30
56
6
7
8
16
14
4
351
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
WASHINGTON— Continued
Chehalis
Chelan
Cheney
Chewelah
Clarkston
Cle Elum
Clyde Hill
Colfax
College Place
Colville
Connell
Cosmopolis
Coulee Dam
Davenport
Dayton
Des Moines
East Wenatchee ...
Eatonville
Edmonds
Ellensburg
Elma
Enumclaw
Ephrata
Everett
Ferndale
Fife
Fircrest
Forks
Gig Harbor
Goldendale
Grand Coulee
Grandview
Hoquiam
Issaquah
Kalama
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
Medina
Mercer Island
Mill Creek
Milton
Monroe
Montesano
Morton
Moses Lake
Mossyrock
Mountlake Terrace
Mount Vernon
Mukilteo
Napavine
Newport
Normandy Park . . .
Oak Harbor
Ocean Shores
Odessa
Olympia
Omak
Oroville
Othello
Pacific
21
10
12
5
15
7
8
5
12
10
7
7
3
2
5
35
11
5
52
26
6
25
16
193
13
22
9
15
11
6
3
19
26
27
5
27
68
124
4
74
3
39
4
10
7
7
55
21
9
55
37
4
8
39
19
10
19
9
3
32
2
33
37
23
3
4
14
38
10
3
81
10
9
13
9
17
9
11
4
12
6
7
5
8
9
6
6
3
2
3
26
9
5
38
19
5
15
9
146
II
15
7
7
9
6
3
14
20
17
5
23
54
80
4
54
3
32
4
6
7
6
49
19
8
46
23
4
7
30
14
9
16
7
3
22
2
28
31
19
2
4
12
24
8
3
63
9
5
11
10
WASHINGTON— Continued
Palouse
Pasco
Pomeroy
Port Angeles
Port of Seattle
Port Orchard
Port Townsend
Poulsbo
Prosser
Pullman
Puyallup
Quincy
Raymond
Redmond
Renton
Republic
Richland
Ridgefield
Ritzville
Ruston
Seattle
Sedro WooUey
Selah
Sequim
Shelton
Snohomish
Snoqualmie
South Bend
Spokane
Stanwood
Steilacoom
Sumner
Sunnyside
Tacoma
Toledo
Tonasket
Toppenish
Tukwila
Tumwater
Twisp
Union Gap
Vader
Vancouver
Walla Walla
Wapato
Washougal
Wenatchee
Westport
West Richland
White Salmon
Wilbur
Winlock
Winthrop
Woodland
Yakima
Zillah
WEST VIRGINIA
Alderson
Anmoore
Ansted
Barboursville
Beckley
Belmgton
Belle
Benwood
Bethlehem
Bluefield
Bridgeport
Buckhannon
Cameron
Cedar Grove
Ccredo
Chapmanville
1
49
3
50
97
12
II
14
14
32
58
9
7
69
107
2
50
3
3
1
1,803
13
11
13
28
20
7
4
350
9
10
22
28
396
3
4
20
69
24
4
17
1
102
56
22
8
51
8
10
4
2
2
3
5
138
6
1
39
3
27
78
11
9
12
9
23
45
7
6
54
78
2
44
3
3
I
1,233
8
9
10
16
17
6
3
256
7
9
15
20
352
3
4
14
57
21
3
13
1
85
38
IS
7
37
7
9
4
2
2
3
5
104
5
352
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
WEST VIRGINIA— ContiniMd
WEST VIRGINIA— Continued
Charleston
Charles Town
Chesapeake
Chester
Clarksburg
CIcndenin
Danville
Delbanon
Dunbar
Elkins
Fairmont
Fayeiteville
Follansbee
Fort Gay
Gauley Bridge
Glen Dale
Glenville
Grafton
Grantsville
Granville
Harpers Ferry-Bolivar
Hinlon
Huntington
Hurricane
Kenova
Kermil
Keyser
Kimball
Kingwood
Lewisburg
Logan
Lumberport
Mabscott
Madison
Man
Mannington
Marlinlon
Marmet
Martinsburg
Mason
Matewan
McMechen
Middleboume
Mill Creek
Milton
Mitchell Heights
Mononah
Montgomery
Moorefield
Morganlown
Moundsville
Mount Hope
Mullens
New Cumberland
New Haven
New Martinsville
Nitro
North Fork
Nutter Fort
Oak Hill
Oceana
Paden City
Parkersburg
Parsons
Pennsboro
Petersburg
Philippi
Piedmont
Pineville
Poca
Point Pleasant
Princeton
Rainelle
Ranson
Ravenswood
173
11
3
5
42
4
2
3
18
15
38
4
9
2
3
6
5
II
I
5
3
4
109
12
9
2
10
2
3
9
12
2
3
6
5
4
I
4
48
4
3
4
I
I
2
1
I
13
4
59
18
5
5
3
2
14
15
5
3
12
5
7
79
3
I
4
6
2
5
151
9
3
5
35
4
2
3
13
9
29
3
9
2
3
5
5
6
1
5
3
4
101
2
6
2
3
8
9
2
3
5
4
4
I
4
38
2
3
4
I
I
2
1
I
9
4
48
13
5
5
3
2
10
II
5
3
8
5
4
63
3
1
4
6
2
5
1
7
Reedsville
Richwood
Ripley
Romney
Ronceverte
St. Albans
St. Marys
Salem
Shepherdstown
Shinnston
Sistersville
Smithers
Sophia
South Charleston
Spencer
Star City
Stonewood
Summersville
Sutton
Vienna
War
Wayne
Weinon
Welch
Wellsburg
Weston
Westover
Wheeling
White Sulphur Springs
Whitesville
Williamson
Williamstown
WISCONSIN
Adams
Algoma
Altoona
Amery
Antigo
Appleton
Arcadia
Ashland
Ashwaubenon
Baraboo
Barron
Bayfield
Bayside
Beaver Dam
Belleville
Beloit
Beloit Town
Berlin
Black Earth
Black River Falls ...
Bloomer
Boscobel
Brillion
Brodhead
Brookfield
Brookfield Township
Brown Deer
Burlington
Burlington Town
Butler
Caledonia
Campbell Township .
Cedarburg
Chenequa
Chilton
Chippewa Falls
Clear Lake
Clinton
Clintonville
Columbus
3
6
9
6
18
114
4
25
36
24
5
3
21
36
3
95
9
16
2
8
7
6
4
11
83
8
36
29
8
10
30
5
26
8
6
34
2
4
II
11
1
5
7
3
2
14
4
3
4
4
3
2
3
30
5
6
2 .
10
3 .
13
4 .
1
37
11
5
7
7
80
7 .
2 .
6
4
3
6
8
6
17
90
4
20
32
21
5
3 .
15
27
3 .
71
8
12
2 .
8 .
6
6 .
4 .
7
63
7
27
23
7
8
24
5 .
18
8 .
6 .
25
2 .
4 .
11 .
7
353
Table 78.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
WISCONSIN— Continued
WISCONSIN— Continued
Combined Locks
Cornell
Crandon
Cross Plains
Cuba City
Cudahy
Darlington
De Forest
Delafield
Delavan
Delavan Town ..
De Pere
Dodgevijie
Durand
Eagle River
East Troy
Eau Claire
Edgerton
Eleva
Elkhom
Elm Grove
EIroy
Evansville
Fitchburg
Fond Du Lac ...
Fort Atkinson ...
Fox Lake
Fox Point
Franklin
Germantown
Glendale
Grafton
Green Bay
Greendale
Greenfield
Hales Comers ...
Hallie
Hartford
Hartland
Hayward
Hillsboro
Holmen
Horicon
Hudson
Hurley
Jackson
Janesville
Jefferson
Juneau
Kaukauna
Kenosha
Kewaskum
Kewaunee
Kiel
Kimberly
Kohler
La Crosse
Ladysmith
Lake Delton
Lake Geneva
Lake Mills
Lancaster
Little Chute
Lodi
Madison
Manitowoc
Maple Bluff
Marmette
Marshfield
Mauslon
Mayville
Mazomanie
McFarland
Medford
Menasha
4
7
2
4
3
48
4
10
10
17
6
29
10
4
5
7
III
12
13
22
3
9
26
73
23
I
21
43
32
47
25
217
32
79
20
7
20
14
5
2
5
II
20
5
3
103
14
3
22
175
6
6
II
9
6
107
7
10
21
6
7
14
5
373
71
5
27
51
8
9
3
9
8
34
4
4
2
4
3
34
4
9
9
13
6
25
9
4
5
6
85
II
1
II
17
3
6
20
61
18
1
16
33
24
40
19
172
25
55
16
6
16
12
4
2
5
9
17
5
3
78
12
3
21
163
5
6
6
8
5
86
6
9
16
6
6
12
4
317
62
5
21
38
7
14
Menasha Town
Menomonee Falls ..
Menomonie
Mequon
Merrill
Middleton
Milton
Milwaukee
Minocqua
Mondovi
Monona
Monroe
Montello
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
Onalaska
Oregon
Orfordville
Osceloa
Oshkosh
Palmyra
Park Falls
Peshtigo
Pewaukee
Pewaukee Township
Phillips
Platteville
Pleasant Prairie
Plover
Plymouth
Portage
Port Washington
Prairie du Chien
Prescott
Pulaski
Racine
Reedsburg
Rhinelander
Rice Lake
Richland Center
Ripon
River Falls
River Hills
Rome Town
Rothschild
St. Croix Falls
St. Francis
Sauk Prairie
Saukville
Schofield
Shawano
Sheboygan
Sheboygan Falls
Shorewood
Shorewood Hills
Slinger
Somerset
South Milwaukee —
21
17
73
55
38
26
39
38
24
20
31
25
7
7
,491
2.002
13
8
4
4
21
18
32
24
2
1
7
6
6
6
29
21
15
10
37
28
49
41
7
6
77
59
4
4
6
6
3
3
16
16
10
9
10
8
47
40
27
21
10
9
8
8
5
5
22
20
9
8
3
2
3
3
96
83
4
4
7
6
6
6
15
14
5
5
5
5
22
17
16
16
10
9
14
13
26
20
22
17
16
10
6
5
6
6
238
205
16
12
25
17
21
20
12
10
17
12
20
17
13
13
4
4
6
6
3
3
21
20
11
10
7
6
7
6
23
18
111
85
8
8
32
26
8
6
2
1
4
3
32
31
354
Table 78. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1992 — Continued
City
Total
police
employees
Total
officers
Tolal
civilians
City
Total
police
employees
Total
officers
Total
civilians
WISCONSIN— Continued
Sparta
Spooner
Spring Green
Stanley
Stevens Point
SiDughton
Strum
Sturgeon Bay
Sturtevani
Summit
Sun Prairie
Superior
Thiensville
Tomah
Tomahawk
Town Of East Troy
Town Of Madison
Turtle Township ..
Twin Lakes
Two Rivers
Verona
Viroqua
Washburn
Waterloo
Watertow'n
Waukesha
Waunakee
Waupaca
Waupun
Wausau
Wauwatosa
West Allis
West Bend
West Milwaukee
Weston
West Salem
Whiiefish Bay ...
Whitehall
Whitewater
Williams Bay ....
Wisconsin Dells .
Wisconsin Rapids
7
7
18
3
10
29
II
11
5
6
44
129
9
16
18
65
117
153
56
24
14
5
25
3
32
6
14
50
13
5
3
3
40
18
1
17
8
6
27
55
7
16
6
6
16
2
6
24
10
8
5
6
33
96
8
12
14
53
83
130
44
19
13
5
22
3
23
5
10
39
WYOMING
Afton
Basin
Buffalo
Casper
Cheyenne
Cody
Cokeville
Diamondville .
Douglas
Encampment .
Evanston
Evansville
Gillette
Glenrock
Green River . .
Greybull
Guernsey
Hanna
Jackson
Kemmerer
Lander
Laramie
Lovell
Lusk
Lyman
Medicine Bow
Mills
Moorcroft
Newcastle
Pine Bluffs ...
Powell
Rawlins
Riverlon
Rock Springs .
Saratoga
Sheridan
Sundance
Thermopolis ..
Torrington
Upton
Wheatland ....
Worland
4
3
12
82
100
16
2
3
21
3
28
11
52
9
29
4
4
2
20
11
20
42
8
3
11
4
7
4
12
5
18
31
32
59
9
41
4
15
19
3
10
2
4
3
8
4
65
17
79
21
14
2
7
3
12
9
2
1
23
5
7
4
36
16
5
4
25
4
4
4
1
17
3
8
3
15
5
39
3
4
4
3
7
4
1
3
6
1
3
1
8
4
2
3
11
7
20
11
21
11
34
25
4
5
25
16
4
9
6
13
6
3
9
1
1
1
355
Table 79.— Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1992
University/College
ALABAMA
Alabama Stale University
Auburn University:
Main Campus
Montgomery
Enterprise State Junior College
Jacksonville State University ..
Livingston State University ....
Troy State University
University of Alabama:
Birmingham
Huntsville
Tuscaloosa
University of Montevallo
University of South Alabama .
ARIZONA
Arizona State University ....
Arizona Western College ....
Central Arizona College
Northern Arizona University
Pima Community College ...
University of Arizona
Yavapai College
ARKANSAS
University of Arkansas:
Fayetteville
Little Rock
Medical Science
Pine Bluff
University of Central Arkansas
CALIFORNIA
Cabrillo College
California State Polytechnic University:
Pomona
San Luis Obispo
California State University:
BakersHeld
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northridge
Sacramento
San Bernardino
San Diego
San Jose
Stanislaus
College of the Sequoias
Contra Costa College
Foothill College
Fresno City College
Humboldt State University
King's River Community College
Marin Community College
Pasadena City College
San Francisco State University
San Jose Evergreen Valley Community College
Santa Rosa Junior College
Sonoma State University
University of California:
Berkeley
Davis
Irvine
Total
police
employees
10
26
21
13
14
21
26
30
25
23
19
37
19
14
33
38
13
3
22
II
II
17
4
9
19
24
18
9
22
121
78
33
Total
officers
24
20
13
7
3
17
2
g
3
8
1
52
32
10
3
30
7
9
5
20
12
Total
civilians
44
20
7
1
A
18
11
21
13
32
14
5
University/College
CALIFORNIA— Continued
Lawrence Livermore Laboratory
Los Angeles
Riverside
San Diego
San Francisco Medical School ..
Santa Barbara
Santa Cruz
West Valley College
COLORADO
Adams State College
Arapahoe Community College
Auraria Higher Education Center
Colorado School of Mines
Colorado State University
Pike's Peak Community College .
Red Rocks Community College ..
University of Colorado:
Boulder
Colorado Springs
Health Sciences
University of Denver
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
DELAWARE
University of Delaware
FLORIDA
Florida A&M University
Florida Atlantic University
Florida International University
Florida State University;
Panama City
Tallahassee
University of Central Florida . .
University of Florida
University of North Florida —
University of South Florida:
St. Petersburg
Sarasota
Tampa
University of West Florida
Total
police
employees
GEORGIA
Abraham Baldwin Agricultural College
Agnes Scott College
Armstrong State College
Augusta College
Berry College
Brunswick Junior College
Clark Atlanta University
Clayton State College
Columbus College
Dalton College
225
85
22
49
69
37
28
U
63
25
27
42
2
55
42
119
26
12
14
53
23
Total
officers
26
22
4
15
13
2
25
22
3
6
6
22
15
7
42
36
6
19
16
3
86
70
16
45
356
Table 79.— Number of Full-time Uw Enforcement Employees, Universities and Colleges, October 31, 1992— Continued
University/College
GEORGIA— Continu«i
Total
police
employees
DeKalb College
Fort Valley Stale College
Georgia College
Georgia Institute of Technology
Georgia Southern University
Georgia Southwestern College
Georgia Stale University
Gordon College
Kennesaw State College
Medical School of Georgia
Mercer University
North Georgia College
Reinhan College
Savannah Slate College
Southern Georgia Technical Institute
South Georgia College
University of Georgia
Valdosta Stale College
Wesleyan College
West Georgia College
ILLINOIS
Black Hawk College
Chicago State University
College of DuPage
College of Lake County
Eastern Illinois University
Governors Stale University
Illinois State University
John A. Logan College
Joliet Junior College
Loyola University of Chicago ..
Monon College
Northeastern Illinois University
Northern Illinois University
Oakton Community College
Rock Valley College
Sangamon State University
Southern Illinois University:
Carbondale
Edwardsville
School of Medicine
South Suburban College
Triton College
University of Chicago
University of Illinois:
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
24
19
14
40
32
10
66
2
25
95
28
8
3
25
16
7
69
25
5
30
5
26
14
II
29
13
37
2
7
46
9
23
40
7
6
10
51
24
4
17
18
95
57
2
34
14
Total
officers
II
16
10
26
26
9
58
2
18
43
21
5
3
10
12
7
59
22
5
18
4
21
10
4
20
10
25
I
6
38
6
17
26
6
5
1
42
17
2
12
13
69
43
2
23
7
Total
civilians
University/College
KANSAS
Total
police
employees
12
I
5
4
7
9
3
12
I
I
8
3
6
14
I
1
9
9
7
2
5
5
26
14
Emporia State University
Fort Hays Stale University
Kansas Slate University. Manhattan
Pittsburg Stale University
University of Kansas:
Lawrence
Medical Center
Wichita State University
KENTUCKY
Eastern Kentucky University ...
Jefferson Community College ..
Kentucky State University
Morehead State University
Murray State University
Northern Kentucky University .
University of Kentucky
University of Louisville
Western Kentucky University ..
LOUISIANA
Louisiana Slate University, Baton Rouge
Louisiana Tech. University
McNeese State University
Nichols State University
Northeast Louisiana University
Northwestern State University
Southeastern Louisiana University
Southern University. Baton Rouge
MAINE
University of Maine:
Farmington
Orono
University of Southern Maine
MARYLAND
Bowie State University ...
Coppin State University ..
Froslburg State University
Morgan State University ..
St. Mary's College
Salisbury State University
Towson Slate 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 Institute of Technology
North Adams State College
Northeastern University
Wentworth Institute of Technology . . .
29
6
17
20
17
25
55
46
29
Total
officers
101
29
75
IS
Total
civilians
15
7
15
30
3
16
31
II
55
21
64
14
2
1
12
2
23
15
20
9
6
13
4
II
9
11
6
15
10
34
21
26
20
21
8
14
6
4
6
4
II
4
2
13
19
46
8
II
I
5
26
1
29
4
357
Table 79.— Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1992 — 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
Ferris State University
Grand Valley State University . . .
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University
Northern Michigan University ...
Oakland Community College
Oakland University
Saginaw Valley Stale University .
University of Michigan:
Ann Arbor
Flint
Western Michigan University —
MINNESOTA
University of Minnesota:
Duluth
Minneapolis
MISSISSIPPI
Mississippi State University
University of Mississippi:
Medical Center
Oxford
MISSOURI
Central Missouri State University
Lincoln University
University of Missouri:
Columbia
St. Louis
Washington University
MONTANA
Eastern Montana College .
Montana State University
University of Montana ...
NEBRASKA
University of Nebraska. Kearney
NEVADA
University of Nevada:
Las Vegas
Reno
NEW HAMPSHIRE
University of New Hampshire ..
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Kcan College
Middlesex County College
Monmouth College
Montclair State College
New Jersey Institute of Technology
37
33
36
24
16
NEW JERSEY— Continued
Rowan College
Rutgers University:
Camden
Newark
New Brunswick
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
NEW YORK
Cornell University
Ithaca College
Rensselaer Polytechnic Institute
State University of New York:
Albany
Binghamton
Buffalo
Health Science Center, Brooklyn
Maritime College
Stony Brook
State University of New York Agricultural and
Technical College:
Alfred
Canton
Cobleskill
Delhi
Farmingdale
Morrisville
State University of New York College:
Brockport
Cortland
Environmental Science And Forestry
Fredonia
Geneseo
New Paltz
Old Westbury
Oneonta
Optometry
Oswego
Platlsburgh
Potsdam
Purchase
Utica-Rome
NORTH CAROLINA
Appalachian State University
Davidson College
Duke University
East Carolina University
Elizabeth City Slate University
Fayettevillc Slate University
Mars Hill College
North Carolina A&T State University,
Greensboro
North Carolina Central University, Durham
North Carolina Slate University, Raleigh ....
Pembroke State University
Queens College
22
35
46
118
20
24
17
120
41
38
54
37
25
44
40
63
100
12
105
20
9
122
48
12
19
6
48
19
42
13
16
28
60
15
19
16
54
32
26
5
6
19
25
41
15
21
34
26
56
25
8
65
13
10
10
10
21
12
IE
16
10
15
15
20
21
17
3
21
13
II
13
13
18
9
61
30
10
13
4
25
12
31
10
4
358
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1992 — Continued
University/College
Total
police
employees
Total
olTicers
Total
civilians
University/College
Total
police
employees
Total
officers
Total
civilians
NORTH CAROLINA— ConliniKd
University of North Carolina:
Asheville
Chapel Hill
Charlotte
Greensboro
Wilmmgton
West Carolina University
Winston-Salem State University
NORTH DAKOTA
University of North Dakota
OHIO
Baldwin-Wallace College
Bov^ling Green State University
Cleveland State University
Kent State University
Lakeland Community College ..
Marietta College
Miami University
Ohio State University
Ohio University
University of Cincinnati
University of Toledo
Wright State University
Youngstown State University ...
OKLAHOMA
Cameron University
Northeastern Oklahoma State University
Oklahoma State University:
Main Campus
Okmulgee
Southeastern State College
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
Kuiztown University
-ehigh University
-incoln University
-ock Haven University
vlansfield University
vlillersville University
vloravian College
■Pennsylvania State University:
Altoona Campus
Behrend College
Capital Campus
University Park
ihippensburg University
ilippery Rock University
Jniversity of Pittsburgh, Bradford .
Vest Chester University
12
6
1
11
2
27
7
8
7
7
6
13
15
18
6
26
9
2
14
14
15
10
13
14
9
19
12
14
13
3
8
11
14
7
5
5
6
48
14
13
15
5
17
13
RHODE ISLAND
University of Rhode Island
SOUTH CAROLINA
Clemson University
Denmark Technical College
Francis Marion College
Lander College
Medical University of South Carolina
South Carolina State College
The Citadel
Trident Technical College
University of South Carolina:
Aiken
Coastal Carolina
Columbia
Spartanburg
Winthrop College
SOUTH DAKOTA
South Dakota State University
TENNESSEE
Austin Peay State University
East Tennessee State University . . .
Middle Tennessee State University
Tennessee Technological University
University of Tennessee:
Knoxville
Martin
Memphis
TEXAS
Alamo Community College
Alvin Community College
Amarillo College
Angelo State University
Austin College
Baylor University
Baylor University Medical Center
Central Texas College
College of the Mainland
Corpus Christi State University
Eastfield College
East Texas State University
Hardin-Simmons University
Houston Baptist University
Lamar University
Laredo Junior College
McLennan Community College
Midwestern State University
North Harris Montgomery Community College
North Lake College
Paris Junior College
Prairie 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 F. Austin State University
Sul Ross State University
Tarleton State University
Texas A&M University:
College Station
Galveston
45
6
11
9
134
30
13
18
2
15
US
9
22
35
11
7
11
9
28
68
10
8
11
9
19
6
8
20
9
6
8
7
9
3
21
25
12
14
33
4
7
29
30
8
12
86
4
20
8
11
18
7
15
4
13
2
48
30
12
3
31
13
25
10
8
3
5
2
9
2
8
1
17
11
45
23
9
1
7
1
9
2
8
1
14
5
4
2
8
11
9
8
1
3
3
7
1
7
8
1
1
2
14
7
16
9
11
1
11
3
15
18
4
5
2
17
12
15
15
6
2
10
2
42
44
4
359
Table 79. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1992 — Continued
University/College
Total
police
employees
Total
ofTicers
Total
civilians
University/College
Total
police
employees
Total
officers
TEXAS — Continued
Texas Arts & industries Univei^ity
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas Southmost College
Texas Stale Technical Institute:
Amarillo
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
University of North Texas
University of Texas:
Arlington
Austin
Dallas
El Paso
Galveston
Health Science Center, San Antonio
Health Science Center, Tyler
Houston
Pan American
Permian Basin
San Antonio
Southwest Medical School
Tyler
West Texas State University
UTAH
Brigham Young University
Salt Lake Community College ...
Southern Utah State College
University of Utah
Utah Stale University
Utah Valley Community College
Weber State University
VERMONT
University of Vermont
VIRGINIA
Christopher Newport College ..
Clinch Valley College
College of William & Mary ...
George Mason University
20
29
20
31
9
12
15
29
57
31
26
8
50
16
24
40
59
162
31
46
86
51
10
173
17
II
33
53
30
13
7
17
12
II
9
15
16
5
4
P
12
3
12
17
24
33
15
16
9
17
7
1
37
13
10
6
15
9
25
15
25
34
65
97
9
22
15
31
25
61
15
36
4
6
49
124
11
6
4
7
14
19
19
34
2
6
8
3
20
10
VIRGINIA— Continued
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
Marshall University
West Liberty State College
West Virginia Stale 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
University of Wyoming
24
23
12
15
28
32
35
20
6
30
65
109
6
41
20
5
26
17
18
11
10
21
28
23
16
5
16
56
50
6
29
11
5
10
6
55
17
12
5
4
18
6
10
8
42
9
1
7
41
32
12
10
7
7
4
9
13
360
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1992
Counly 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
Total
civilians
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
Trawford
rrittenden
"aulkner
efferson
xinoke
filler
'ulaski
.aline
.ebastian
S^ashington
CALIFORNIA
.lameda
utte
ontra Costa
I Dorado
resno
.em
OS Angeles
ladera
lann
lerced
lonterey
apa
range
lacer
iverside
icramenlo
m Bernardino ...
in Diego
in Joaquin
in Mateo
inta Barbara
inta Clara
inta Cruz
lasta
llano
tnoma
anislaus
itier
ilare
:ntura
CALIFORNIA-
Conlinued
21
105
28
55
31
24
35
61
98
586
33
26
34
158
388
195
65
64
23
79
90
1,908
201
935
231
69
32
38
29
39
21
41
268
31
59
55
1.238
117
828
282
472
442
7,850
74
256
95
376
87
2,067
305
1,910
1,568
2,087
2,436
632
456
300
530
129
238
382
290
402
106
356
932
20
50
17
22
19
10
16
40
39
466
23
12
19
91
269
165
38
20
17
57
63
431
85
362
118
749
86
589
145
320
291
5,161
55
176
74
287
69
1,230
195
1.065
1.126
1,295
1.547
452
314
207
417
99
143
91
202
151
77
284
595
1
55
11
33
12
14
19
21
59
120
10
14
15
67
119
30
27
44
6
22
27
1.477
116
573
113
34
19
15
17
9
10
20
188
489
31
239
137
152
151
2,689
19
80
21
89
18
837
110
845
442
792
889
180
142
93
113
30
95
291
88
251
29
72
337
Yolo
Yuba
COLORADO
Adams ...
Arapahoe
Boulder . .
Douglas ..
El Paso ..
Jefferson .
Larimer ..
Pueblo ...
Weld
DELAWARE
New Castle Police
Department
FLORIDA
Alachua
Bay
Bradford
Brevard
Broward
Clay
Collier
Dade
Escambia ...
Gadsden
Hernando ...
Hillsborough
Lee
Leon
Manatee
Marion
Martin
Nassau
Okaloosa
Orange
Osceola
Palm Beach
Pasco
Pinellas
Polk
Santa Rosa .
Sarasota
Seminole
St. Johns ...
St. Lucie —
Volusia
GEORGIA
Barrow
Bartow
Bibb
Bryan
Butts
Carroll
Catoosa
Chatham Police
Department . . .
Chattahoochee ..
Cherokee
Cherokee Police
Department . . .
Clayton Police
Department ...
Cobb
Cobb Police
Department ...
209
68
358
449
230
108
135
509
227
209
155
302
171
21
667
3.166
206
686
3,677
443
79
197
2,293
704
485
627
530
435
119
158
1,307
373
2,308
716
1,782
933
190
696
540
311
475
445
56
137
220
28
24
85
75
166
3
139
218
363
547
226
309
156
77
100
369
136
184
128
261
196
130
11
279
970
144
350
2,614
294
26
129
880
315
257
269
196
209
45
117
901
182
825
280
681
365
88
301
213
126
213
299
27
118
192
14
15
52
53
129
2
122
198
277
400
130
20
132
140
74
31
35
140
91
25
27
27
106
41
10
388
2,196
62
336
1.063
149
53
68
1,413
389
228
358
334
226
74
41
406
191
1.483
436
1,101
568
102
395
327
185
262
146
GEORGIA— Continued
Columbia
Coweta
Dade
De Kalb
DeKalb Police
Department
Dougherty
Dougherty Police
Department
Douglas
Effingham
Fayette
Forsyth
Fulton
Fulton Police
Department
Gwinnett
Gwinnett Police
Department
Harris
Henry
Henry Police
Department
Houston
Jones
Lee
Nevrton
Oconee
Paulding
Peach
Pickens
Pickens Police
Department
Richmond
Rockdale
Spalding
Twiggs
Walker
Walker Police
Department
Walton
IDAHO
Ada ....
Canyon
ILLINOIS
147
Boone
Champaign
Clinton
Cook
Du Page ...
Henry
Jersey
Kane
Kankakee ...
Kendall
Lake
Macon
Madison
McHenry . . .
McLean
Menard
Monroe
Ogle
Peoria
Rock Island
Sangamon
St. Clair ....
Tazewell
Will
Winnebago .
Woodford ...
127
121
36
431
727
97
53
113
39
99
76
737
286
280
371
34
65
103
112
42
23
66
34
99
49
22
1
345
109
95
10
76
3
84
247
61
32
56
22
606
270
40
15
194
93
40
374
145
130
219
128
11
19
51
166
55
240
59
55
395
237
21
115
55
17
354
627
93
53
103
24
67
60
652
191
209
298
25
59
92
70
19
15
40
20
62
23
21
1
321
100
80
7
68
3
65
140
35
21
50
18
528
217
39
14
135
76
33
173
45
73
185
47
6
9
38
62
49
70
59
34
298
120
15
361
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1992 — Continued
County by Slate
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
INDIANA
Adams
Allen
Clark Police
Department
Clay
Dearborn
Elkhart
Hancock
Harrison
Howard
Huntington
Uke
Marion
Monroe
Morgan
Porter
Posey
St. Joseph
Tippecanoe
Tipton
Vanderburgh
Wells
IOWA
Black Hawk
Dallas
Dubuque
Johnson
Linn
Polk
Pottawattamie
Scott
Warren
Woodbury
KANSAS
Butler
Douglas
Harvey
Johnson
Leavenworth
Miami
Sedgwick
Shawnee
Wyandotte
KENTUCKY
Boone
Boone Police
Department
Bourbon
Boyd
Bullitt
Campbell
Campbell Police
Department
Carter
Christian
Christian Police
Department
Clark
Daviess
Fayette
Gallatin
Grant
Greenup
Henderson
Jefferson
Jefferson Police
Department
Jessamine
Kenton
23
209
73
18
54
140
53
10
71
23
342
722
73
49
103
24
178
101
16
145
29
48
66
18
302
47
23
308
115
172
20
50
6
15
13
11
30
5
18
4
13
30
70
2
5
8
14
205
551
10
25
II
120
26
7
16
62
28
10
33
8
257
417
73
16
46
8
131
38
6
98
10
89
63
31
10
46
39
64
42
122
87
175
137
58
34
119
38
29
20
88
29
29
31
18
238
37
14
139
94
139
18
46
6
15
8
II
23
3
17
3
12
29
60
2
4
6
14
203
409
10
25
38
15
85
305
64
10
9
169
21
33
2
142
KENTUCKY-
Continued
Kenton Police
Department
Oldham
Oldham Police
Department
Pendleton
Scott
Shelby
Woodford
Woodford Police
Department
LOUISIANA
Acadia
Bossier
Caddo
Jefferson
Lafayette
Livingston
Ouachita
Rapides
St. Charles
St. Landry
St. Martin
St. Tammany
Terrebonne
Webster
West Baton Rouge
MAINE
Androscoggin
Cumberland .
MARYLAND
Allegany
Anne Arundel
Anne Arundel Police
Department
Baltimore
Baltimore Police
Department
Calvert
Carroll
Cecil
Charles
Frederick
Harford
Howard
Howard Police
Department
Montgomery
Montgomery Police
Department
Prince Georges
Prince Georges Police
Department
Queen Annes
Washington
MICHIGAN
Allegan
Bay
Berrien
Calhoun ..
Clinton
Eaton
Genesee
Ingham ...
Jackson ...
Kalamazoo
90
90
469
1,245
411
119
234
230
188
88
124
316
210
54
60
55
36
718
55
1.628
55
31
40
230
86
250
39
312
103
1.057
270
1.439
26
137
93
32
169
80
21
119
235
198
104
160
75
90
469
778
411
119
232
230
116
88
123
316
210
54
47
20
28
541
52
1,448
50
26
35
132
69
149
24
265
91
811
192
1,143
24
52
44
27
137
34
19
71
99
171
55
121
15
467
72
35
177
3
180
5
5
5
98
17
101
15
47
12
246
78
296
2
85
MICHIGAN-
Continued
Kent
Lapeer
Lenawee . .
Livingston
Macomb . .
Midland ...
Monroe
Muskegon ..
Oakland . . .
Ottawa
Saginaw
St. Clair ...
Van Buren .
Washtenaw
Wayne
MINNESOTA
Anoka
Benton
Carver
Chisago
Clay
Dakota
Hennepin . .
Houston ...
Isanti
Olmsted ...
Polk
Ramsey
St. Louis ...
Scott
Sherburne ..
Steams
Washington
Wright
MISSISSIPPI
Hinds ...
Madison
Rankin ..
MISSOURI
Andrew
Boone
Buchanan
Cass
Christian
Clay
Franklin
Greene
Jackson
Jasper
Jefferson
Lafayette
Platte
Ray
St. Charles
St. Louis Police
Department ...
Warren
MONTANA
Cascade
Yellowstone
NEBRASKA
148
57
54
85
363
58
160
39
705
68
124
89
51
228
1,422
160
22
70
37
41
137
581
17
30
80
26
294
157
89
54
97
136
108
Cass
Dakota .
Douglas
163
47
47
12
89
64
41
20
111
77
115
105
73
179
18
53
18
213
693
15
27
23
158
362
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1992 — Continued
Counlv bv Stale
Tola I
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
oPTicers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
NEBRASKA— CoatiniKd
Lancaster . .
Washington
NEVADA
Washoe
NEW JERSEY
Mlanlic
Atlantic Prosecutor
Bergen
Bergen Police
Department
Bergen Prosecutor
Burlington
Burlington Prosecutor .
ramden
ramden Prosecutor ...
rape May
rape May Prosecutor .
rumberland
rumberland Prosecutor
issex
Issex Police
Department
:ssex Prosecutor
Gloucester
Jloucester Prosecutor .
-ludson
ludson Police
Department
ludson Prosecutor
lunterdon
lunterdon Prosecutor
■lercer
"lercer Prosecutor
liddlesex
liddlesex Prosecutor .
lonmouth
lonmouth Prosecutor
lorris
lorris Prosecutor
•cean
•cean Prosecutor
assaic
assaic Prosecutor
item
ilem Prosecutor
jmersel
>merset Prosecutor . . ,
jssex
jssex Prosecutor
nion
nion Prosecutor
'arren
arren Prosecutor
NEW MEXICO
ona Ana
mdoval ..
ilencia . .
NEW YORK
bany
^me
lyuga
lauiauqua
lemung ..
, ie
Ifenesee ....
^rkimer ..
vingsion .
491
134
148
458
110
260
63
110
591
203
128
33
191
51
431
45
437
181
74
183
120
265
27
42
111
122
220
216
305
234
315
136
146
114
603
175
111
33
179
106
104
44
152
214
22
53
86
35
28
125
68
29
99
44
626
46
46
56
326
105
62
381
84
114
50
43
499
89
108
13
159
17
385
42
299
152
29
155
104
100
20
24
90
80
176
129
275
105
229
86
85
74
468
79
92
16
131
69
92
28
135
118
18
32
95
56
20
78
34
518
32
39
44
165
29
86
77
26
146
13
67
92
114
20
20
32
34
46
3
138
29
45
28
16
165
7
18
21
42
44
87
30
129
86
50
61
40
135
96
19
17
48
37
12
16
17
96
4
21
30
12
9
21
10
108
14
7
12
NEW YORK-
Conlinued
Monroe
Oneida
Onondaga
Ontario
Oswego
Putnam
Saratoga
Schoharie
SufTolk Police
Department .
Tioga
Warren
Wayne
Westchester ...
OHIO— Continued
NORTH CAROLINA
Alamance
Alexander
Buncombe
Burke
Cabarrus
Caldwell
Catawba
Chatham
Cumberland
Currituck
Davidson
Davie
Durham
Edgecombe
Forsythe
Franklin
Gaston Rural Police
Guilford
Johnston
Lincoln
Mecklenburg Rural
Police
Nash
New Hanover
Onslow
Orange
Pitt
Randolph
Rowan
Stokes
Union
Wake
Wayne
Yadkin
NORTH DAKOTA
Burleigh
Cass
Grand Forks
Morton
OHIO
Ashtabula ..
Auglaize ...
Clark
Clermont ..
Columbiana
Cuyahoga . . ,
Delaware ...
Franklin
Fulton
Geauga
Greene
JefTerson
Lake
291
265
247
124
69
74
90
19
2.865
43
81
57
296
236
226
215
104
60
57
64
11
2,366
31
63
47
250
108
67
24
19
204
133
72
51
115
107
68
38
96
90
46
33
366
296
28
21
118
73
37
33
289
104
55
31
310
228
39
24
209
164
326
180
52
41
65
56
720
526
70
41
216
170
120
65
80
69
88
64
96
69
97
92
39
30
92
86
426
199
59
32
37
24
43
30
63
41
26
20
29
26
77
40
39
17
137
115
145
66
59
33
889
158
75
35
357
203
29
19
44
28
88
77
45
32
144
35
499
12
18
10
46
41
5
71
21
8
30
6
13
70
7
45
4
185
24
82
15
45
146
11
9
194
29
46
55
11
24
27
5
9
6
227
27
13
37
22
22
79
26
731
40
154
10
16
11
13
109
Licking
Lorain
Lucas
Mahoning ...
Miami
Montgomery
Pickaway ...
Portage
Richland
Stark
Trumbull ...
Warren
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
Cambria
Centre
Chester Detective ..
Cumberland
Washington
Westmoreland Detective
SOUTH CAROLINA
Aiken
Anderson
Berkeley
Charleston
Cherokee
Dorchester
Edgefield
Rorence
Greenville
Horry Police
Department
Horry
Lexington
Pickens
Richland
Spartanburg
Sumter
129
139
324
92
72
309
81
72
86
174
45
72
61
93
31
70
45
25
17
13
11
406
22
20
22
13
272
15
153
15
61
119
95
155
24
184
37
139
296
20
10
19
17
22
II
104
109
100
473
43
81
24
77
325
128
14
237
83
309
209
75
98
53
248
82
40
178
35
41
43
101
22
59
28
86
17
27
27
16
11
7
11
117
22
8
13
7
166
15
115
13
46
78
71
139
17
139
33
119
255
15
9
16
16
17
11
79
88
61
212
33
60
13
60
264
117
11
134
58
270
191
69
363
Table 80. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1992 — Continued
Counly 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
SOUTH CAROLINA-
Continued
York
SOUTH DAKOTA
Lincoln
Minnehaha
Pennington
TENNESSEE
Carter
Hamilton
Hawkins
Knox
Madison
Montgomery
Robertson
Rutherford
Sullivan
Sumner
Unicoi
Washington
TEXAS
Archer
Bastrop
Bell
Bexar
Bowie
Brazoria
Brazos
Caldwell
Cameron
Chambers
Collin
Comal
Coryell
Dallas
Denton
Ector
Ellis
El Paso
Fort Bend
Galveston
Grayson
Gregg
Guadalupe
Hardin
Harris
Harrison
Hays
Henderson
Hidalgo
Hood
Hunt
Jefferson
Johnson
Kaufman
Liberty
Lubbock
McLennan
Midland
140
4
85
46
46
268
45
606
50
112
57
111
186
97
31
86
II
71
225
1,292
37
186
122
47
177
50
258
105
36
1.464
226
109
95
599
210
283
68
94
68
40
3,309
51
170
80
307
39
43
310
112
51
71
248
173
157
85
3
59
36
30
101
42
190
50
109
44
56
160
51
18
33
7
20
68
693
33
92
52
9
53
19
92
40
15
428
106
55
32
201
167
238
51
55
23
26
2,794
24
37
24
252
19
20
134
28
23
35
132
107
87
55
1
26
10
16
167
3
416
4
51
157
599
4
94
70
38
124
31
166
65
21
1,036
120
54
63
398
43
45
17
39
45
14
515
27
133
56
55
20
23
176
84
28
36
116
66
70
TEXAS— Continued
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
Amherst
Bedford
Botetourt
Campbell
Charles City
Chesterfield Police
Department
Clarke
Culpeper
Dinwiddle
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
332
338
87
72
158
71
34
59
204
1,073
114
74
938
36
73
37
275
97
162
22
174
713
133
132
95
45
51
46
54
12
365
16
63
47
1,187
78
16
59
18
15
HI
546
26
48
20
202
13
19
75
16
45
403
218
161
33
30
116
57
13
34
58
541
84
39
151
15
58
15
150
35
79
10
134
574
89
101
76
37
51
36
49
6
317
10
51
39
928
61
II
50
14
10
103
381
20
45
13
163
8
12
39
14
37
290
114
177
54
42
42
14
21
25
146
532
30
35
787
21
15
22
125
62
83
12
40
139
44
31
19
259
17
5
9
4
5
165
6
3
7
39
5
7
36
2
8
113
VIRGINIA— Continued
Roanoke Police
Department . .
Scott
Spotsylvania . . .
Stafford
Washington
York
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
112
37
56
93
54
66
50
166
18
49
840
98
282
237
212
105
60
100
187
32
47
281
42
72
152
58
127
622
169
79
36
240
168
121
39
110
277
136
115
82
82
37
46
69
45
59
39
125
17
31
597
80
242
165
169
74
48
69
12
30
21
57
19
5
19
18
10
29
130
24
47
246
29
50
103
30
65
493
64
61
35
178
90
72
34
53
145
93
75
67
364
Tible 81. — Number of Full-time Law EnforcemenI Employees, Rural Counties, October 31, 1992
County by Stale
Total
police
cmplONees
Total
oflTicers
Total
civilians
County by State
Total
police
employees
Total
ofTiccrs
Total
civilians
County by Slate
Total
police
employees
Total
officers
Total
civilians
ALABAMA
Barbour ...
Bibb
Bullock ....
Butler
"hambers ..
Cherokee . .
"hilion
rhoctaw . . .
riarkc
:iay
ricbume ...
roffee
ronecuh ...
roosa
rovington .
rrenshaw . .
rullman ...
)allas
)e Kalb ...
iscambia ..
■ayette
'ranklin ...
jeneva
ireene
lale
lenr>-
ackson
.amar
ee
owndes ...
lacon
larengo . . .
larion
larshall ...
lonroe
erry
ickens
ike
andolph . .
umter
alladega ..
allapoosa .
/alker
Washington
'ilcox
yinslon . . .
ARIZONA
pache
ochise ...
oconino .
ila
raham
■reenlee ...
apaz
avajo
anta Crur
avapai
ARKANSAS
rkansas .
shiey . . .
axter ...
oone
radley . .
alhoun .
arroll . . .
hicot . . .
lark
lay
lebume .
leveland
olumbia
15
7
9
7
51
17
15
16
14
7
9
11
18
10
15
11
54
43
32
32
10
26
15
16
10
10
38
15
60
17
25
17
17
38
27
II
11
18
8
5
41
19
37
12
13
IS
42
152
118
115
26
21
48
62
56
154
8
25
28
20
5
7
21
8
20
12
14
8
22
9
6
4
6
15
10
12
5
9
6
5
8
7
5
11
5
41
39
17
12
8
14
5
7
5
6
27
5
31
5
13
7
7
22
14
6
7
10
7
4
18
15
19
6
5
6
I
5
36
7
3
II
5
I
4
3
II
5
4
6
13
4
15
20
2
12
10
9
5
4
II
10
29
12
12
10
10
16
13
5
4
8
I
I
23
4
18
6
ARKANSAS— Continued
Conway
Craighead
Cross
Dallas
Desha
Drew
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
White
Woodruff
Yell
CALIFORNIA
Alpine
Amador
Calaveras
Colusa
Del Norte
Glenn
Humboldt
Imperial
Inyo
Kings
Uke
Lassen
Mariposa
Mendocino
Modoc
Mono
Nevada
Plumas
San Benito
San Luis Obispo
Sierra
15
40
21
10
II
7
10
8
70
10
18
17
16
12
47
12
16
12
II
17
9
15
12
18
14
12
44
II
10
9
10
23
10
10
9
1
19
37
15
9
15
II
8
12
15
14
47
12
37
11
13
12
46
50
30
28
32
108
222
52
160
85
84
30
83
10
30
107
44
38
284
14
14
9
4
6
7
5
4
29
5
10
8
9
5
27
7
7
6
5
8
5
4
6
8
7
5
23
5
5
4
4
12
5
8
5
9
9
17
7
8
13
4
5
8
7
7
25
7
17
5
7
9
34
35
24
26
21
82
129
36
114
56
65
29
64
10
25
73
34
18
130
10
5
4
41
5
8
9
7
7
20
5
9
6
6
9
4
II
6
10
7
7
21
6
5
5
6
11
5
2
4
9
10
20
8
1
2
7
3
4
8
7
22
5
20
6
6
5
34
10
20
154
4
CALIFORNIA-
ContiniKd
Siskiyou .
Tehama . .
Trinity ...
Tuolumne
COLORADO
Alamosa . . .
Archuleta ..
Baca
Bent
Chaffee ....
Cheyenne . .
Clear Creek
Conejos
Costilla
Crowley
Custer
Delta
Dolores
Eagle
Elbert
Fremont
Garfield
Gilpin
Grand
Gunnison ..
Hinsdale
Huerfano . . ,
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
Washington .
Yuma
FLORIDA
Baker ....
Calhoun .
Charlotte
Citrus
Columbia
De Soto .
Dixie
Flagler . . .
Franklin .
Gilchrist .
Glades . . .
Gulf
29
27
9
8
24
9
30
9
13
9
5
36
9
52
II
44
41
16
39
I
4
20
4
13
15
39
17
16
20
161
5
29
36
41
38
16
3
24
3
35
9
18
15
33
9
4
14
7
37
34
13
10
44
20
285
261
130
64
28
92
52
23
38
:
24
20
5
4
14
5
14
8
6
9
3
14
4
46
10
38
12
16
26
17
3
19
3
12
8
25
15
15
17
132
4
26
32
34
33
16
3
15
3
31
7
12
6
28
8
3
II
2
31
25
22
10
170
104
94
34
19
43
24
15
15
22
365
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992 — Continued
County by Slate
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
FLORI DA— Continued
Hamilton
Hardee
Hendry
Highlands
Holmes
Indian River
Jackson
Jefferson
Lafayette
Lake
Levy
Liberty
Madison
Monroe
Okeechobee
Putnam
Sumter
Suwannee
Taylor
Union
Wakulla
Walton
Washington
GEORGIA
Appling
Atkinson
Bacon
Baker
Baldwin
Banks
Ben Hill
Berrien
Bleckley
Brantley
Brooks
Bulloch
Calhoun
Camden
Candler
Chattooga
Clay
Clinch
Colquitt
Cook
Crawford
Crisp
Dawson
Decatur
Dodge
Dooly
Early
Elbert
Emanuel
Fannin
Royd
Floyd Police
Department
Franklin
Glascock
Glynn
Glynn Police
Department
Gordon
Grady
Habersham
Hall
Hancock
Haralson
Irwin
Jackson
Jasper
Jeff Davis
Jefferson
48
71
94
192
23
333
42
37
15
187
48
14
36
443
124
172
86
56
73
15
67
78
34
11
8
13
3
46
15
22
15
13
18
24
30
12
55
9
43
6
8
55
14
18
54
22
25
15
19
22
17
14
16
67
59
19
3
93
122
58
25
31
233
9
35
6
54
14
9
21
13
25
44
87
12
117
28
15
13
116
33
7
29
182
48
81
37
30
24
7
25
43
30
10
3
6
3
30
II
15
9
6
9
14
27
6
27
4
43
3
7
25
10
9
40
14
16
II
9
14
15
14
15
60
55
16
2
21
99
31
9
31
206
9
21
6
32
9
8
19
35
46
50
105
II
216
14
22
2
71
15
7
7
261
76
91
49
26
49
8
42
35
4
16
4
7
6
7
9
10
3
6
28
5
I
7
4
3
I
72
23
27
16
27
14
GEORGIA— Continued
Jenkins
Johnson
Lamar
Lanier
Laurens
Lincoln
Long
Lowndes
Lumpkin
Macon
Marion
Mcintosh
Meriwether
Miller
Mitchell
Monroe
Montgomery
Morgan
Murray
Oglethorpe
Pierce
Pike
Polk Police
Department
Pulaski
Putnam
Rabun
Schley
Screven
Seminole
Stephens
Steward
Sumter
Talbot
Taliaferro
Tattnall
Telfair
Terrell
Thomas
Tift
Toombs
Towns
Treutlen
Troup
Turner
Union
Upson
Ware
Ware Police
Department
Warren
Washington
Wayne
Webster
Wheeler
White
Whitfield
Wilcox
Wilkes
Wilkinson
Worth
HAWAII
Hawaii Police
Department
Kauai Police
Department
Maui Police
Department
IDAHO
Adams
Bannock
6
6
31
9
70
21
8
141
24
8
6
19
23
14
20
52
9
35
26
12
13
13
23
17
67
18
7
15
10
22
9
32
12
2
9
13
12
46
54
II
II
12
58
13
12
32
49
14
3
30
28
3
3
22
111
8
19
14
23
217
161
385
199
134
297
IDAHO— Continued
Bear Lake .
Benewah . . .
Bingham . . .
Blaine
Boise
Bonner
Bonneville .
Boundary . .
Butte
Camas
Caribou
Cassia
Clark
Clearwater .
Custer
Elmore
Franklin ...
Fremont . . .
Gem
Gooding ...
Idaho
Jefferson ...
Jerome
Kootenai ...
Latah
Lewis
Madison ...
Minidoka ..
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 Witt ....
Douglas
Edgar
Edwards
Effingham . .
Fayette
Ford
Franklin
Fulton
Gallatin
Greene
Hancock —
Hardin
Henderson . .
Iroquois
Jackson
Jasper
Jefferson
Jo Daviess . .
Johnson
10
12
51
31
10
49
78
17
4
5
13
44
5
30
12
28
16
19
16
19
31
17
20
119
23
15
22
17
36
9
17
26
10
29
9
36
25
17
366
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992 — Continued
County by Stale
Total
police
employees
Total
otTicei^
Total
civilians
County by State
Total
police
employees
Total
ofTicers
Total
civilians
County by Stale
Total
police
employees
Total
ofTiccrs
Total
civilians
ILLINOIS— Conrinued
Knox
U Salle
Lawrence . . .
Lee
Livingston ..
Logan
Macoupin ...
Marion
Marshall
Mason
Massac
McDonough
Mercer
Montgomery
Morgan
Moultrie
Perry
Piatt
Pike
^ope
-'ulaski
^ulnam
Randolph ...
Richland
ichuyler
Jcott
ihelby
;tark
itephenson .
Jnion
^ermilion ...
Vabash
Varren
Washington .
Vayne
Vhite
Vhiteside ...
Villiamson .
IOWA— Continued
INDIANA
Bartholomew
•enton
'lackford
arroll
>aviess
iibson
irant
ackson
jfferson
innings
aGrange
awrence
lartin
lontgomery .
lewion
ulaski
utnam
ipley
ush
teuben
^ayne
/hite
IOWA
dair
dams
llamakee
ppanoose
udubon ..
enton
oone
remer
uchanan .
45
58
9
27
44
29
47
25
17
10
16
23
22
20
32
15
18
20
20
4
10
9
19
18
11
7
22
7
51
12
68
9
17
11
11
7
30
53
77
12
II
17
16
27
81
25
22
17
31
47
17
26
22
20
15
18
22
45
69
19
6
6
12
14
8
19
13
14
20
43
47
9
27
26
20
22
22
7
9
7
13
II
12
15
9
12
10
10
2
5
5
9
12
5
3
10
3
32
II
29
4
II
5
6
7
20
21
18
9
25
3
10
1
9
10
II
8
17
6
6
10
10
2
5
4
10
6
6
4
12
4
19
1
39
5
6
6
5
4
10
8
17
46
14
II
II
18
30
3
12
13
12
9
10
12
28
17
II
Buena Vista .
Butler
Calhoun
Carroll
Cass
Cedar
Cerro Gordo
Cherokee
Chickasaw ...
Clarke
Clay
Clayton
Clinton
Crawford
Davis
Decatur
Delaware
Des Moines .
Dickinson
Emmet
Fayette
Floyd
Franklin
Fremont
Grundy
Guthrie
Hamilton
Hancock
Hardin
Harrison
Henry
Howard
Humboldt ...
Ida
Iowa
Jackson
Jasper
Jefferson
Jones
Keokuk
Kossuth
Lee
Louisa
Lucas
Lyon
Madison
Mahaska
Marion
Marshall
Mills
Mitchell
Monona
Monroe
Montgomery .
Muscatine ...
O'Brien
Osceola
Page
Palo Alto ....
Plymouth
Pocahontas . .
Poweshiek ...
Ringgold
Sac
Shelby
Sioux
Story
Tama
Taylor
Union
Van Buren
Wapello
Washington ..
Wayne
Webster
12
8
10
8
11
6
11
8
7
6
17
6
27
13
13
6
13
8
8
4
8
7
14
10
36
25
10
8
8
3
8
4
11
9
21
17
13
8
14
7
18
8
13
7
8
7
11
6
II
7
9
5
11
9
7
6
13
8
9
5
16
9
13
8
9
9
17
10
12
9
14
8
18
7
12
6
16
8
8
5
11
9
30
15
16
9
12
6
13
8
11
5
15
9
19
10
24
12
16
14
7
6
12
6
7
5
15
6
35
18
20
10
14
9
10
5
10
6
17
8
10
6
11
7
9
3
8
5
6
5
22
12
47
32
18
8
8
4
9
4
9
4
20
7
35
25
8
4
16
14
IOWA— Continued
Winnebago
Winneshiek
Worth
Wright
KANSAS
Allen
Anderson . .
Atchison ...
Barber
Barton
Bourbon ...
Brown
Chase
Chautauqua
Cherokee . .
Cheyenne . .
Clark
Clay
Cloud
Coffey
Comanche . ,
Cowley
Crawford . . ,
Decatur
Dickinson ...
Doniphan ...
Edwards
Elk
Ellis
Ellsworth ...
Finney
Ford
Franklin
Geary
Gove
Graham
Grant
Gray
Greeley
Greenwood .
Hamilton ...
Harper
Haskell
Hodgeman ..
Jackson
Jefferson
Jewell
Kearny
Kingman
Kiowa
Labette
L^ne
Lincoln
Linn
Logan
Lyon
Marion
Marshall
McPherson .
Meade
Mitchell
Montgomery
Morris
Morton
Nemaha
Neosho
Ness
Norton
Osage
Osborne
Ottawa
Pawnee
Phillips
13
4
10
9
29
6
17
17
2
19
4
8
12
13
21
5
24
39
8
23
8
7
6
16
9
52
25
31
49
3
7
12
17
7
19
4
4
4
6
6
II
2
9
12
2
3
74
18
21
2
6
12
11
4
4
3
4
2
4
II
5
5
4
49
3
14
11
12
19
47
2
2
1
7
6
6
5
3
4
2
10
8
3
5
5
4
5
4
4
4
1 1
13
11
3
4
9
5
5
1
10
14
15
5
4
6
4
6
6
1
10
26
5
6
5
6
10
10
in
5
16
6
3
3
4
4
5
5
8
11
3
6
3
5
22
1
3
6
5
4
4
5
8
4
367
Table 81.— Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992 — Continued
County by Slate
Total
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by Slate
Total
police
employees
Total
ofTicers
KANSAS— Continued
Pottawatomie
Pratt
Rawlins
Reno
Republic
Rice
Riley Police
Department
Rooks
Rush
Russell
Saline
Scott
Seward
Sheridan
Sherman
Smith
SlafTord
Stanton
Stevens
Sumner
Thomas
Trego
Wabaunsee
Wallace
Washington
Wichita
Wilson
Woodson
KENTUCKY
Adair
Allen
Anderson
Anderson Police
Department
Ballard
Barren
Bath
Bell
Boyle
Bracken
Breathitt
Breckinridge
Butler
Caldwell
Calloway
Carlisle
Carroll
Casey
Clay
Clinton
Crittenden
Cumberland
Edmonson
Elliott
Estill
Reming
Floyd
Franklin
Fulton
Garrard
Graves
Grayson
Green
Hancock
Hardin
Harlan
Harrison
Hart
Henry
Hickman
Hopkins
Jackson
25
10
7
62
119
8
9
13
49
5
13
4
II
6
3
10
II
18
II
6
9
2
9
8
15
8
16
9
2
54
5
4
82
4
3
5
49
4
13
3
II
2
3
6
6
10
9
2
5
2
5
4
6
9
I
5
8
3
5
37
4
6
KENTUCKY—
Continued
Johnson
Knott
Knox
Larue
Laurel
Lawrence
Lee
Leslie
Letcher
Lewis
Lincoln
Logan
Lyon
Lyon Police
Department
Madison
Magoffin
Marion
Marshall
Martin
Mason
McCracken
McCreary
McLean
Meade
Menifee
Mercer
Metcalfe
Monroe
Montgomery
Morgan
Muhlenberg
Nelson
Nelson Police
Department
Nicholas
Ohio
Owen
Owsley
Perry
Pike
Powell
Pulaski
Robertson
Rockcastle
Rowan
Russell
Simpson
Spencer
Taylor
Todd
Trigg
Trimble
Union
Warren
Washington
Wayne
Webster
Whitley
Wolfe
LOUISIANA
Ascension
Beauregard
Caldwell
Cameron
Claiborne
Evangeline
Franklin
Grant
Jackson
Morehouse
Natchitoches
155
66
27
73
23
44
70
35
32
66
61
154
43
27
72
22
44
70
35
32
45
46
LOUISIANA—
Continued
Plaquemines
St. Mary
Union
Vermilion ...
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
Dickinson
Emmet
Gladwin
Gogebic
Grand Traverse
Gratiot
Hillsdale
Houghton
Huron
Ionia
Iosco
Iron
Isabella
Kalkaska
Keweenaw
Lake
Leelanau
Luce
Mackinac
Manistee
Marquette
Mason
131
108
32
89
368
Table 81. — Number of Full-lime Ijw Enforcement Employees. Rural Counties, October 31, 1992 — Continued
County by Slalc
Tola!
police
employees
Total
olTicers
Total
civilians
Counly by Stale
Tolal
police
employees
Tolal
officers
Total
civilians
County by Stale
Tolal
police
employees
Total
officers
Total
civilians
MICHIGAN-
Continued
Mecosta
Menominee ..
Missaukee ...
Montcalm
Montmorency
Newaygo
CXeana
Ogemaw
Ontonagon
Osceola
Oscoda
Otsego
Presque Isle ..
Roscommon . ,
St. Joseph
Sanilac
Schoolcraft
Shiawassee
Tuscola
Wexford
MINNESOTA—
Continued
MINNESOTA
Aitkin
Becker
Beltrami
Big Stone
Blue Earth
Brown
Carlton
Cass
Chippewa
Clearwater
Cook
Cottonwood
Crow Wing
Dodge
Douglas
Faribault
Fillmore
Freeborn
Goodhue
Gram
Hubbard
Jackson
Kanabec
Kandiyohi
Kittson
Koochiching
Lac Qui Parle
Uke
Lake-of-the- Woods
Lincoln
Lyon
'Mahnomen
Marshall
Martin
McLeod
Meeker
Mille Lacs
Morrison
Mower
Murray
Nicollet
Nobles
Norman
Dtter Tail
Pennington
Pine
Pipestone
°ope
Red Uke
Redwood
Renville
41
21
\i
52
9
25
31
22
12
21
16
17
19
21
46
34
5
48
44
41
18
9
13
20
30
19
27
37
19
9
20
41
7
55
13
32
15
10
II
16
13
21
10
4
24
9
20
17
12
9
7
10
9
12
15
22
24
4
31
26
17
5
14
10
3
14
6
8
7
6
24
10
1
17
18
24
Rice
Rock
Roseau
Sibley
Steele
Stevens
Swift
Todd
Traverse
Wabasha
Wadena
Waseca
Watonwan
Wilkin
Winona
Yellow Medicine
MISSISSIPPI
Bolivar
Chickasaw
Claiborne
Clarke
Clay
Coahoma
Copiah
Covington
Franklin
Greene
Humphreys
Issaquena
Itawamba
Jefferson Davis
Jones
Lamar
Lawrence
Lee
Lowndes
Montgomery ...
Oktibbeha
Prentiss
Simpson
Tate
Tippah
Tishomingo
Walthall
Warren
Washington
Wayne
Webster
Winston
Yalobusha
MISSOURI
Atchison
Audrain
Barry
Barton
Bates
Benton
Bollinger
Butler
Caldwell
Camden
Cape Girardeau
Carroll
Cedar
Chariton
Clark
Cole
Cooper
Crawford
Dallas
35
10
18
9
10
10
12
9
19
II
28
40
14
8
8
7
36
5
15
9
MISSOURI— Continued
Daviess
De Kalb
Douglas
Dunklin
Gasconade
Gentry
Grundy
Harrison
Hickory
Laclede
Linn
Livingston
Macon
Maries
Marion
McDonald
Mercer
Monroe
Montgomery ..
Morgan
New Madrid . .
Nodaway
Oregon
Osage
Ozark
Pemiscot
Perry
Pike
Polk
Pulaski
Reynolds
Ripley
St. Clair
St. Francois ...
Ste. Genevieve
Saline
Schuyler
Scotland
Shelby
Stoddard
Sullivan
Taney
Vernon
Washington
Wayne
Worth
MONTANA
Beaverhead
Big Horn
Blaine
Broadwater
Carbon
Chouteau
Custer
Daniels
Dawson
Deer Lodge
Fallon
Fergus
Flathead
Gallatin
Garfield
Golden Valley ..
Granite
Hill
Jefferson
Uke
Lewis and Clark
Lincoln
Madison
McCone
Meagher
Mineral
5
7
4
15
6
10
7
8
II
13
4
8
12
8
27
12
7
9
14
13
18
15
8
9
9
17
18
19
13
16
13
7
25
34
22
14
7
4
8
15
6
21
14
24
9
4
14
31
14
6
10
14
11
9
9
23
3
17
77
53
3
2
9
20
16
24
45
32
10
3
6
II
3
3
4
14
4
1
3
4
6
12
3
8
12
5
25
12
3
8
9
9
17
12
4
5
5
16
14
15
10
16
4
7
9
29
18
13
2
3
3
6
4
21
12
15
5
3
369
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31,
1992— 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
Total
civilians
MONTANA— Continued
76
10
18
13
9
8
9
29
14
32
31
15
10
65
II
8
10
19
2
17
8
18
11
1
1
1
9
14
1
7
43
7
9
8
6
10
11
9
12
8
7
8
19
7
6
19
7
8
7
13
16
10
1
5
1
2
57
11
8
2
7
10
1
9
7
11
16
1
7
13
42
3
46
6
10
8
6
3
5
16
6
17
17
7
5
38
7
4
6
12
2
8
3
16
6
15
16
21
22
30
4
8
5
3
5
4
13
8
15
14
8
5
27
4
4
4
7
NEBRASKA— Continued
Loup
1
25
1
8
8
13
9
7
17
4
8
10
9
22
11
6
4
8
15
19
18
15
5
2
2
5
10
3
8
6
5
8
2
16
36
51
15
36
31
21
28
17
17
37
16
7
18
51
43
2
26
50
22
42
13
28
19
70
20
11
22
15
36
1
16
1
4
3
7
4
4
8
3
4
4
4
21
6
5
3
3
9
9
14
8
4
1
2
4
7
1
3
2
4
5
1
7
30
41
11
33
31
19
27
10
17
36
9
5
12
44
26
2
10
33
15
36
6
20
8
51
9
9
15
13
30
NEW YORK—
Continued
52
32
33
48
34
15
16
16
35
33
36
63
37
28
15
23
24
28
54
20
45
73
6
51
30
24
14
15
93
59
89
128
48
4
35
19
68
86
40
95
41
32
12
81
30
48
65
28
15
40
31
62
25
19
16
47
8
34
17
48
80
85
51
63
39
39
61
23
46
10
27
38
19
29
31
24
10
14
13
32
23
24
36
26
16
10
18
15
28
31
14
25
59
6
38
20
15
8
7
56
42
49
46
29
4
28
17
34
51
39
71
14
24
8
74
27
27
36
28
12
28
20
40
14
11
14
30
6
24
17
29
67
70
34
39
28
31
44
9
30
5
27
Musselshell
9
4
5
6
5
3
9
1
4
6
5
1
5
1
1
5
6
10
4
7
9
6
10
4
3
2
1
7
1
7
2
6
7
17
16
17
7
6
7
8
11
19
11
2
7
2
6
14
Park
13
Phillin<:
Merrick
Clinton
4
Morrill
Columbia
17
Cortland
10
5
Ravalli
Nuckolls
Franklin
2
Richland
Otoe
Otsego
3
3
Rosebud
10
Phelps
Steuben
12
27
Silver Bow
Platte
Wyoming
11
Polk
Yates
12
Red Willow
NORTH CAROLINA
Richardson
Toole
Rock
Treasure
Valley
Wheatland
5
9
5
2
5
Anson
5
Ashe
9
Avery
NEBRASKA
23
Bertie
6
Bladen
20
Antelope
14
Carteret
13
10
Boone
5
10
Valley
Cherokee
9
Wayne
6
Webster
Clay
8
4
28
3
5
4
4
6
6
5
8
5
1
5
3
3
2
3
3
4
4
5
7
5
Wheeler
Cleveland
37
Buffalo
York
Columbus
17
NEVADA
Churchill
40
Dare
82
Cedar
Duplin
19
Chase
Gates
Cherry
Elko
Granville
7
Esmeralda
Greene
2
Clav
Humboldt
Halifax
34
Colfax
Harnett
35
Cuming
1
24
Hertford
27
Storey
Hoke
8
[)euel
White Pine
Hyde
4
NEW HAMPSHIRE
Belknap
Iredell
7
Dodge
Jackson
3
Dundy
Lee
21
29
Sullivan
Macon
NEW MEXICO
Martin
3
McDowell
12
11
22
Gosper
1
Eddy
Northampton
II
Pamlico
Pasquotank
8
1
36
5
4
Harding
2
Hall . . .
Pender
17
Lea
Perquimans
2
Harlan
10
Polk
Hitchcock
3
6
Mora
Richmond
19
Holt
Otero
Robeson
13
Hooker
Roosevelt
Rockingham
15
4
5
5
7
17
24
Scotland
11
Keith
Stanly
8
Surry
17
Kimball
4
7
20
NEW YORK
Allegany
14
16
Tyrrell
5
Logan
Vance
370
Table 81.— Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992 — Continued
Couniy by Stale
NORTH CAROLINA-
Conlinued
Warren
Washington
Waiauga . . .
Wilkes
Wilson
Yancey
Total
police
employees
NORTH DAKOTA
Adams
Barnes
Benson
Billings
Bottmeau
Bowman
Burke
Cavalier
Dickey
Divide
Dunn
Eddy
Emmons
Foster
Golden Valley
Grant
Griggs
Hettinger
Kidder
Lamoure
Logan
McHenry
Mcintosh
McKenzie
McLean
Mercer
Mountrail
Nelson
Oliver
Pembina
Pierce
Ramsey
Ransom
Renville
Richland
Rolette
Sargent
Sheridan
Sioux
Slope
Stark
Steele
Stutsman
Towner
Traill
Walsh
Ward
Wells
Williams
OHIO
Ashland
Champaign
Clinton
Coshocton .
Darke
Defiance ...
Erie
Gallia
Hardin
Harrison . . .
Henry
Highland ...
Hocking ...
5
6
4
4
12
1
4
9
5
4
4
I
2
3
7
2
2
3
2
4
2
3
2
9
25
18
8
4
3
17
7
6
5
3
13
12
3
2
1
1
12
3
12
2
6
11
37
2
27
45
32
31
53
49
21
64
24
23
II
21
25
24
Total
officers
Total
civilians
11
6
23
11
44
21
42
6
7
8
1
1
1
4
4
1
1
1
4
I
1
4
5
4
1
4
4
1
6
3
3
1
1
2
21
22
5
38
7
30
2
26
5
46
7
20
29
16
5
29
35
22
2
12
11
10
1
?l
21
4
20
4
County by State
Total
police
employees
OHIO— Continued
Huron
Logan
Monroe
Morgan
Morrow
Muskingum
Preble
Seneca
Shelby
Tuscarawas
Union
Van Wert ..
Vinton
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
Total
officers
12
17
9
5
2
7
10
7
23
5
10
25
10
9
9
19
12
13
7
12
14
13
10
9
15
10
II
9
15
14
13
19
24
14
II
10
13
20
50
17
10
18
45
22
16
33
22
25
16
4
59
16
9
Total
civilians
14
7
5
9
6
24
3
15
3
41
12
5
5
12
2
3
4
5
5
4
3
14
9
2
3
6
4
8
17
6
4
8
1
6
3
9
10
1?
5
8
3
4
6
6
7
7
9
4
5
5
4
5
11
4
10
6
5
4
5
10
5
12
2
7
6
18
1
17
7
6
8
6
5
5
5
12
1
County by State
OKLAHOMA-
Continued
Stephens ...
Texas
Tillman
Washington
Washita ....
Woods
Woodward .
Total
police
employees
OREGON
Baker
Benton
Clatsop
Coos
Crook
Curry
Deschutes
Douglas
Gilliam
Grant
Harney
Hood River ...
Jefferson
Josephine
Klamath
Uke
Lincoln
Linn
Malheur
Morrow
Sherman
Tillamook
Umatilla
Umatilla Tribal
Union
Wallowa
Wasco
Wheeler
PENNSYLVANIA
Jefferson
Warren .
SOUTH CAROLINA
Abbeville . .
Allendale . .
Bamberg ...
Barnwell ...
Beaufort . . .
Calhoun . . .
Chester
Chesterfield
Clarendon .
Colleton . . .
Darlington .
Dillon
Fairfield . . .
Georgetown
Greenwood
Hampton ..
Jasper
Kershaw . . .
Lancaster . .
Laurens
Lee
Marion
Marlboro . .
McCormick
Newberry . . ,
Oconee
Orangeburg .
Saluda
Total
officers
Total
civilians
6
5
30
25
17
14
41
28
II
8
22
18
51
36
84
65
3
3
5
4
4
3
17
15
17
10
62
45
20
15
5
5
34
26
65
46
16
10
14
9
4
3
16
14
27
II
11
6
5
4
10
5
27
1
19
1
31
22
9
8
10
8
20
12
19
108
12
II
36
27
27
18
44
26
47
31
42
38
28
18
41
29
40
35
69
49
20
12
32
15
39
32
62
40
44
29
29
17
20
16
18
14
17
7
35
24
48
36
57
44
18
9
371
Table 81. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992 — 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
SOUTH CAROLINA-
Continued
Union
Williamsburg
SOUTH DAKOTA
Aurora
Beadle
Bennett
Bon Homme
Brookmgs
Brown
Brule
Buffalo
Campbell
Charles Mix
Clay
Codington
Custer
Day
Deuel
Douglas
Edmunds
Fall River
Faulk
Haakon
Hand
Hanson
Harding
Hughes
Hutchinson
Hyde
Jackson
Jerauld
Lake
Lawrence
Lyman
Marshall
McCook
McPherson
Meade
Miner
Moody
Perkins
Potter
Sanborn
Spink
Sully
Turner
Union
Walwonh
Yankton
TENNESSEE
Bradley
Cocke
Crockett
Cumberland
Fentress
Gibson
Giles
Grainger
Greene
Hamblen
Hardeman
Hardin
Henderson
Henry
Houston
Humphreys
Jefferson
Lawrence
Lincoln
Maury
4
9
10
5
10
29
9
6
5
14
7
6
2
6
12
5
2
3
I
2
22
2
1
I
I
7
28
4
7
3
I
II
3
II
2
9
3
13
2
3
7
3
7
92
32
21
27
18
26
25
18
37
42
27
21
23
31
12
16
31
36
42
46
3
4
10
3
9
10
8
1
I
3
5
4
9
3
3
2
4
4
3
2
2
I
I
21
2
1
I
I
4
8
3
3
2
1
9
3
7
2
4
2
8
2
2
3
2
6
83
32
10
23
8
21
14
9
27
38
14
21
15
28
6
9
18
22
15
41
19
3
20
I
4
1
TENNESSEE-
Continued
McNairy .
Meigs
Monroe . .
Perry
Putnan ...
Roane . . . .
Stewart . .
Trousdale
Warren . .
Weakley .
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
Dewitt
Dickens
Dimmit
Donley
Duval
Eastland
Edwards
Erath
Falls
Fannin
Fayette
Fisher
Floyd
Foard
Franklin
TEXAS — Continued
Freestone . . .
Frio
Gaines
Garza
Gillespie
Glasscock ...
Goliad
Gonzales
Gray
Grimes
Hale
Hall
Hamilton ...
Hansford . . .
Hardeman ..
Hartley
Haskell
Hemphill ...
Hill
Hockley
Hopkins
Houston
Howard
Hudspeth . . .
Hutchinson .
Irion
Jack
Jackson
Jasper
Jeff Davis ..
Jim Hogg ...
Jim Wells ..
Jones
Karnes
Kendall
Kenedy
Kent
Kerr
Kimble
King
Kinney
Kleberg
Knox
U 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
9 Navarro
22
13
13
6
16
7
12
8
21
II
4
2
15
7
21
10
27
13
21
9
47
25
7
3
19
7
7
3
8
4
6
3
8
3
14
8
33
22
19
10
42
19
14
8
16
11
25
5
29
12
7
4
13
4
20
9
26
14
4
2
31
15
30
15
20
9
12
5
29
15
7
7
3
2
46
24
8
3
II
3
35
29
8
4
15
7
46
15
12
8
17
10
16
8
12
8
17
8
35
13
9
5
17
8
23
II
2
2
10
5
17
7
13
7
9
4
5
2
60
39
34
15
7
4
2
2
27
14
8
3
22
8
8
4
12
6
20
8
24
14
20
8
2
2
45
15
61
21
372
-Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992 — Continued
Total
police
employees
Total
ofTiccrs
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by Stale
Total
police
employees
Total
officers
Total
civilians
UTAH— Conliniwd
9
20
16
10
41
29
12
21
45
8
17
9
7
15
46
24
4
2!
12
46
13
10
22
9
8
12
13
22
9
26
72
10
4
6
13
II
5
14
7
25
12
25
15
22
76
48
62
31
32
44
13
12
31
II
44
43
19
29
30
21
12
34
45
20
4
17
32
8
7
14
32
16
8
3
1
6
15
7
5
23
23
5
8
4
6
12
10
3
6
4
4
7
5
4
9
6
16
4
5
13
13
31
41
4
6
3
1
2
4
5
8
5
6
3
2
6
8
3
4
10
15
7
5
12
13
8
7
10
12
26
50
25
23
27
35
14
17
15
17
25
19
6
7
6
6
12
19
7
4
24
20
21
22
9
10
24
5
19
11
8
13
11
26
1
8
42
3
18
2
3
1
14
3
28
4
8
13
5
13
3
1 1
11
6
Millard ....
Morgan
Piute
Rich
San Juan ..
Sanpete
Sevier
Summit
Tooele
Uintah
Wasatch . . .
Washington
Wavne
VERMONT
Orleans
VIRGINIA
Accomack
Alleghany
Amelia
Appomattox
Augusta
Bath
Bland
Brunswick
Buchanan
Buckingham
Caroline
Carroll
Charlotte
Craig
Cumberland
Dickenson
Essex
Floyd
Franklin
Frederick
Giles
Grayson
Greensville
Halifax
Henry
Highland
King and Queen
King William
Lancaster
Lee
Louisa
Lunenburg
Madison
Mecklenburg
Middlesex
Montgomery
Nelson
Northampton
Northumberland .
Nottoway
Orange
Page
Patrick
Prince Edward ..
Pulaski
Rappahannock ...
Richmond
Rockbridge
Rockingham
Russell
Shenandoah
Smyth
Southampton
Surry
Sussex
45
33
14
22
84
16
20
27
45
14
37
36
21
10
12
26
14
18
61
63
31
27
27
36
85
13
10
18
22
44
25
13
13
47
12
48
22
28
19
14
21
33
25
16
66
6
17
22
62
41
55
39
42
13
31
29
8
28
8
19
2
5
5
8
4
76
9
5
14
4
49
12
51
12
24
7
21
6
25
2
29
7
74
11
8
5
6
4
12
6
19
3
42
2
19
6
7
6
8
5
21
26
7
5
37
II
7?
24
4
18
1
9
5
17
4
32
1
21
4
12
4
53
13
6
11
6
?7
29
33
38
3
55
39
33
9
8
5
29
2
VIRGINIA— Continued
Tazewell
Warren
Wcslmoreland
Wise
Wythe
WASHINGTON
Adams
Asotin
Chelan
Clallam
Columbia
Cowlitz
Douglas ,
Ferry
Garfield
Grant
Grays Harbor
Jefferson
Kittitas
Klickitat
Lewis
Lincoln
Mason
Okanogan
Pacific
Pend Oreille ..
San Juan
Skagit
Skamania
Stevens
Wahkiakum ...
Walia Walla ..
Whitman
WEST VIRGINIA
Barbour
Berkeley . . .
Boone
Braxton
Calhoun ...
Clay
Doddridge .
Fayette
Gilmer
Grant
Greenbrier .
Hampshire .
Hardy
Harrison . . .
Jackson
JefTerson ...
Lewis
Lincoln
Logan
Marion
Mason
McDowell .
Mercer
Mingo
Monongalia
Monroe
Morgan
Nicholas ...
Pendleton ..
Pleasants ...
Pocahontas
Preston
Raleigh
Randolph ..
Ritchie
Roane
Summers ...
38
31
42
28
14
9
17
12
23
16
54
39
23
18
22
21
9
5
21
18
26
12
12
5
25
22
33
20
6
5
5
3
4
4
2
2
41
22
8
4
6
5
32
16
10
5
4
4
25
24
17
9
10
8
22
8
5
5
45
17
47
22
24
12
10
10
35
15
34
14
43
20
9
4
5
5
29
14
4
1
10
7
10
5
30
12
67
39
16
3
18
5
10
6
13
4
373
Table 81.— Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1992— 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
Total
civilians
WEST VIRGINIA-
Continued
Taylor
Tucker
Tyler
Upshur
Webster
Wetzel
Win
Wyoming
WISCONSIN
Adams
Ashland
Barron
Bayfield
Buffalo
Burnett
Clark
Columbia
Crawford
Dodge
Door
Dunn
Florence
Fond Du Lac
Forest
Grant
Green
Green Lake
Iowa
Iron
Jackson
17
5
7
14
8
15
1
21
30
19
31
24
18
25
34
68
20
69
37
30
12
77
13
39
30
25
22
10
31
29
15
30
22
9
23
32
34
19
38
35
18
10
71
12
22
24
16
20
10
18
10
13
WISCONSIN—
Continued
Jefferson
Juneau
Kewaunee
Lafayette
Langlade
Lincoln
Manitowoc
Marinette
Marquette
Menominee
Menominee Tribal
Police Department
Monroe
Oconto
Oneida
Pepin
Polk
Portage
Price
Richland
Rusk
Sauk
Sawyer
Shawano
Taylor
Trempealeau
Vernon
Vilas
Walwonh
Washburn
Waupaca
Waushara
96
31
23
19
23
31
96
49
22
11
17
37
36
40
10
30
72
21
26
21
74
23
43
23
30
23
42
154
21
35
24
WISCONSIN—
Continued
Wood
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
31
16
106
29
23
15
54
13
II
9
32
13
37
15
23
24
74
54
59
14
II
467
14,193
663
42
359
12,279
518
374
SECTION VII
APPENDIX I
Methodology
The information compiled by UCR contributors is
forwarded to the FBI either directly from the local law
enforcement agencies or through state-level UCR Pro-
grams in 42 states and the District of Columbia. Agencies
submitting directly to the FBI are provided continuing
guidance and support on an individual basis.
State-level UCR Programs are very effective intermedi-
aries between local contributors and the FBI. Many of the
Programs have mandatory reporting requirements and
;ollect data beyond the national UCR scope to address
:rime problems germane to their particular locales. In most
:ases. these agencies are also able to provide more direct
md frequent service to participating law enforcement
igencies, to make information more readily available for
ise at the state level, and to contribute to more streamlined
)perations at the national level.
With the development of a state UCR Program, the FBI
•eases direct collection of data from individual law en-
brcement agencies within the state. Instead, information
rom local agencies is forwarded to the national Program
hrough the state data collection agency.
The conditions under which these systems are developed
nsure consistency and comparability in the data submit-
ed to the national Program, as well as provide for regular
nd timely reporting of national crime data. These condi-
ions are: (1) The state Program must conform to national
Jniform Crime Reports' standards, definitions, and infor-
nation requirements. The states are not, of course, prohib-
:ed from collecting other statistical data beyond the
ational requirements. (2) The state criminal justice
gency must have a proven, effective, statewide Program
nd have instituted acceptable quality control procedures.
3) Coverage within the state by a state agency must be, at
;ast, equal to that attained by the national Uniform Crime
leports. (4) The state agency must have adequate field
taff assigned to conduct audits and to assist contributing
gencies in record practices and crime reporting proce-
ures. (5) The state agency must furnish to the FBI all of
le detailed data regularly collected by the FBI in the form
f duplicate returns, computer printouts, and/or magnetic
ipes. (6) The state agency must have the proven capability
;ested over a period of time) to supply all the statistical
ata required in time to meet national Uniform Crime
leports' 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 mat-
ters, coordinating such contact with the state agency; and
upon request, conducts training programs within the state
on law enforcement records and crime reporting proce-
dures. Should circumstances develop whereby the state
agency does not comply with the aforementioned require-
ments, the national Program may reinstitute a direct
collection of Uniform Crime Reports from law enforce-
ment 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, forci-
ble 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 recov-
ered, or prosecution 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 1 8; the value of property stolen
and recovered in connection with the offenses; and de-
tailed information pertaining to criminal homicide and
arson.
In addition to its primary collection on Crime Index
(Part 1) offenses, the UCR Program solicits monthly data
on persons arrested for all crimes except traffic violations.
375
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.
Various data on law enforcement officers killed or
assaulted are collected on a monthly basis. The number of
full-time sworn and civilian personnel is reported as of
October 31 each year.
Editing Procedures
Each report submitted to the UCR Program is examined
thoroughly for arithmetical accuracy and for deviations
which may indicate errors. To identify any unusual fluctu-
ations 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 modified records procedures, incom-
plete 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 attention of the state UCR Program or the submit-
ting 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 stand-
ards, the national Program provides training seminars and
instructional materials in crime reporting procedures.
Throughout the country, 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 meth-
ods of assembling the information for reporting. When an
individual agency has specific problems in compiling its
crime statistics and remedial efforts are unsuccessful, 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 partici-
pants, the UCR "Newsletter" and State UCR Program
"Bulletin" are utilized. They address Program policy, as
well as present information and instructional material, and
are produced as needed.
The final responsibility for data submissions rests with
the individual contributing law enforcement agency. Al-
though 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 Reporting of
the National Sheriffs' Association.
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, estimated crime counts are included in these
presentations. Offense estimation occurs within each of
three areas: Metropolitan 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.
Unique estimation procedures were used to produce
estimated 1985 through 1992 forcible rape figures for the
state of Illinois. In mid- 1984, gender-neutral sex offense
legislation was passed in that state. As a result, forcible
rape figures furnished by the state-level UCR Program
administered by the Illinois Department of State Police
were not in accordance with national UCR guidelines.
Forcible rape totals are not shown in Tables 6 and 8
through 1 1, which present individual city, county, univer-
sity/college, and MSA data for Illinois agencies. Since the
data supplied were not comparable with those provided for
other agencies across the country, the post- 1984 forcible
rape figures have been estimated using national rates per
100,000 inhabitants within the eight population groups
and assigning the forcible rape volumes proportionally.
Due to reporting problems at the state levels, no usable
1 988 data were received for local law enforcement agencies
in Florida and Kentucky. For Table 1 of this publication,
1988 offense totals for these two states were estimated.
Previous valid annual totals, by population group, were
updated for the states by applying percentage changes for
each offense within each population group of the geo-
graphic division in which the state resides. The state totals
were compiled from the sums of the population group
estimates. Reporting recommenced for both states during
1989, and usable data have since been received.
This same procedure was used to estimate Iowa crime
counts for 1991. Because of efforts to convert to the
376
National Incident-Based Reporting System within that
state, no summary totals for local law enforcement agen-
cies could be generated for that annual period. The
conversion was successful and Iowa figures were available
for 1992.
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 fig-
ures from a reporting agency are not received for compara-
ble 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
oi Crime in the United States. Valid percent changes for 2-,
5-, and 1 0-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 publication's Tables 8 through 11, showing specific
jurisdictional statistics, figures for all 12 months of the
current year must have been received at the FBI prior to
established publication deadlines. Other tabular presenta-
:ions are aggregated on varied levels of submission. Unless
:onsisting of estimates for the total United States popula-
;ion, each table in this publication shows the number of
igencies reporting and the extent of population coverage.
Designed to assist the reader, this appendix explains the
;onstruction of many tabular presentations in the book.
The following key refers to the columnar headings used
hroughout the appendix.
<ey: A) Column 1 shows the table numbers. Included
are Tables 1 through 69, Crime in the
United States - 1992.
B) Column 2 indicates the level of submission
necessary for an agency's statistics to be in-
cluded in a table.
C) Column 3 explains how each table was con-
structed. Data adjustments, if any, are dis-
cussed along with various definitions of data
aggregation.
D) Column 4 contains general comments regarding
the potential use and misuse of the statistics
presented.
377
(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 m
1992).
All law enforcement agencies in the UCR Program
(Including those submitting less than 12 months in
1992).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months).
Ail law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1992).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1992.)
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1992).
All law enforcement agencies submitting complete
reports for 12 months in 1992.
The 1992 statistics are consistent with Table 2. Pre-
1992 crime statistics may have been updated, and
hence, may not be consistent with prior publica-
tions. Crime statistics include estimated ofTense
totals for agencies submitting less than 12 months
of offense reports for each year. Population statis-
tics represent July I provisional estimations for
each year except 1970, 1980. and 1990, which are
Bureau of the Census decennial census data (see
App. III). 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 statis-
tics as shown in Table 5. Crime statistics include
estimated offense totals for agencies submitting less
than 12 months of offense reports. Population
statistics represent July 1. 1992. Bureau of the
Census provisional estimates. See Appendix III for
UCR population breakdowns.
Regional offense distributions are computed from
volume figures as shown in Table 4. Population
distributions are based on July 1. 1992. Bureau ol
the Census provisional estimates (see App. III).
The 1992 statistics are aggregated from individual
state statistics as shown in Table 5. Crime statistics
include estimated offense totals for agencies sub-
milting less than 12 months of offense reports for
1991 and 1992. Population statistics represent
July 1 provisional estimates for 1991 and 1992
Crime statistics include estimated offense totals for
agencies submitting less than 12 months of offense
reports, Population statistics represent 1992 esli
mates (see App. III). Statistics under the heading
"Area Actually Reporting" represent reported of-
fense 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
"Estimated Totals" represent the above plus esti
mated ofTense totals for agencies having less than 3
months of offense reports.
Statistics are published for all Metroix)lltan Statistical
Areas (MSAs) having at least 75% reporting and
the central cities submitted 12 months of data in
1992. Figures are listed for central cities of the
MSAs if the cities submitted 1 2 months of data in
1992. Crime statistics include estimated offense
totals for agencies submitting less than 12 months
of offense statistics for 1992. Population statistics
represent July I. 1992. Bureau of the Census
provisional estimates. The statistics under the
heading "Area Actually Reporting" represent re-
ported ofTense 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" represent 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. 11).
Offense totals are for all Index offense categories other
than aggravated assault. Crime statistics include
estimated offense totals for agencies submitting less
than 12 months of offense reports for each year.
"Cities and Towns" are defined to be agencies in
Population Groups I through V (App. III). The
agency populations are 1992 estimates for each
agency (see App. III).
Represents an estimation of national reported
crime activity from 1973 through 1992.
Represents an estimation of national reported
crime activity in 1992.
I
Represents the 1992 geographical distribution
of estimated Crime Index offenses and pop-
ulation.
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 fac-
tors.
Represents an estimation of reported crime
activity for Index offenses at the slate level.
Any comparison of UCR statistics should
take into consideration demographic fac-
tors.
Represents an estimation of the reported crime
activity for Index ofTenses at individual
MSA level. Any comparison of UCR statis-
tics should take into consideration demo-
graphic factors.
Represents an estimation of national reported
crime activity from 1988 through 1992.
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 indivi-
dual agencies In cities and towns 10,000 and
over in population. Any comparison of
UCR statistics should lake into consider-
ation demographic factors.
378
Dala Base
0)
Table Construction
(4)
General Comments
All university/college law entbrcemeni agencies sub-
milting complete reports for 12 months m 1992
All iaw enforcement agencies submitting complete
reports for 12 months in 1992.
All law enforcement agencies submitting complete
reports for 12 months in 1992.
All law enforcement agencies submitting complete
reports for at least 6 common months in 1991 and
1992.
All law enforcement agencies submitting complete
reports for 12 months in 1992.
All law enforcement agencies submitting Supplemen
tary Homicide Report (SHR) data in 1992.
All law enforcement agencies submitting complete
reports for 12 months in 1992.
All law- enforcement agencies submitting complete
reports for at least 6 months in 1992.
All law enforcement agencies submitting complete
reports for at least 6 months in 1992.
All law enforcement agencies in the UCR Program
(including those submitting less than 1 2 months in
1992).
All law enforcement agencies submitting complete
reports for 12 months in 1992.
The 1991 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 enrollments into full-time equivalents have
been made.
"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. Ill)
Population estimates of suburban counties are as of
July 1. 1992.
"Rural Counties" are those outside MSAs and whose
jurisdictions are not covered by city police agencies
(App. III). Population classifications of rural coun
ties are based on 1992 estimates for individual
agencies (see App. III).
The 1 992 crime trend statistics are 2-year comparisons
based on 1992 reported crime activity. Only com-
mon reported months for individual agencies are
included in 1992 trend calculations. Populations
represent July I, 1992, estimates for individual
agencies. See Appendix III for UCR population
breakdowns. Note that "Suburban and Nonsubur-
ban Cities" are alt municipal agencies other than
central cities in MSAs.
The 1992 crime rates are the ratios of the aggregated
1992 crime volumes and the aggregated 1992
populations of the contributing agencies. Popula-
tion statistics represent 1992 estimates for individ-
ual agencies. See Appendix III for UCR population
breakdowns. Note that "Suburban and Nonsubur-
ban Cities" are all municipal agencies other than
central cities in MSAs.
The weapon totals are the aggregate for each murder
victim recorded on the SHRs for calendar year
1992.
The weapon totals are aggregated 1992 totals. Popula-
tion statistics represent 1992 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 1991 and 1992.
The 1992 clearance rates are based on offense and
clearance volume totals of the contributing agen-
cies for 1992. Population statistics represent 1992
estimates. See Appendix III for UCR population
breakdowns.
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 Esti-
mated Arrests" statistic 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 population 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 1992 Bureau of the Census provision
al estimates; see App. III).
The 1992 arrest rates are the ratios, per 100,000
inhabitants, of the aggregated 1992 reported arrest
statistics and population. The population statistics
represent July 1. 1992. estimates. See Appendix III
for UCR population classifications/geographical
configuration.
Represents reported crime from those individu-
al university/college law enforcement agen-
cies contributing to the UCR Program.
These agencies are listed alphabetically by
state. Any comparison of these UCR statis-
tics should take into consideration size of
enrollment, number of on<ampus residents,
plus other demographic factors.
Represents crime reported to individual law
enforcement agencies in suburban counties,
i.e.. the individual sherifTs office, county
police department, highway patrol, and/or
state police. These figures do not represent
the county totals since they exclude city
crime counts. Any comparison of UCR
statistics should take into consideration de-
mographic factors.
Represents crime reported to individual rural
county law enforcement agencies covering
populations 25,000 and over, i.e.. the indi-
vidual sheriffs office, county police depart-
ment, highway patrol, and/or state police.
These figures do not represent the county
totals since they exclude city crime counts.
Any comparison of UCR statistics should
take into consideration demographic fac-
tors.
Slight decrease in national coverage for
Table 1 5 due to editing procedure and lower
submission rate.
The forcible rape figures furnished by the
Illinois state-level UCR Program were not in
accordance with national guidelines. For
inclusion in these tables, the Illinois forcible
rape figures were estimated by using the
national rates for each population group
applied to the population by group for
Illinois agencies supplying all 12 months of
data. Slight decrease in national coverage for
Table 19 due to editing procedure and lower
submission rate.
The SHR is the monthly report form con-
cerning homicides. It details victim and
ofTender characteristics, circumstances,
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 a robbery.
379
(1)
Table
(2)
Data Base
(3)
Table Conslruclion
(4)
General Comments
32. 33
34, 35
36, 37
38-43
44, 45
46-49
50, 51
52-55
56. 57
58-61
62. 63
64-67
68
69
All law enforcement agencies submitting complete
reports for 12 months in 1983 and 1992.
All law enforcement agencies submitting complete
reports for 12 months in 1988 and 1992.
All law enforcement agencies submitting complete
reports for 12 months in 1991 and 1992.
All law enforcement agencies submitting complete
reports for 12 months in 1992.
All city law enforcement agencies submitting complete
reports for 12 months in 1991 and 1992.
All city law enforcement agencies submitting complete
reports for 12 months in 1991 and 1992.
All suburban county law enforcement agencies submit-
ting complete reports for 12 months in 1991 and
1992.
All suburban county law enforcement agencies submit-
ting complete reports for 12 months m 1992.
All rural county law enforcement agencies submitting
complete reports for 12 months in 1991 and 1992.
All rural county law enforcement agencies submitting
complete reports for 12 months in 1992.
All suburban area law' enforcement agencies submit-
tmg complete reports for 12 months in 1991 and
1992.
All suburban area law enforcement agencies submit-
ting complete reports for 12 months in 1992.
All law enforcement agencies submitting complete
reports for 12 months in 1992.
All law enforcement agencies submiltmg complete
reports for 12 months in 1992.
The arrest trends ate the percentage differences
between 1983 and 1992 arrest volumes aggregated
from all common agencies. Population statistics
represent July 1, 1992, estimates (see App. Ill)
The arrest trends are the percentage differences
between 1988 and 1992 arrest volumes aggregated
from common agencies. Population statistics repre-
sent 1992 estimates (see App. III).
The arrest trends are 2-year comparisons between
1991 and 1992 arrest volumes aggregated from
common agencies. Population statistics represent
1992 estimates (see App. III).
The 1992 city arrest trends represent the percentage
differences between 1991 and 1992 arrest volumes
aggregated from common city agencies. "City
Agencies" are defined to be all agencies within
Population Groups l-VI (App. III).
"City Agencies" are defined as agencies within
Population Groups l-VI (App. III).
The 1992 suburban county arrest trends represent
percentage differences between 1991 and 1992
volumes aggregated from contributing agencies.
"Suburban Counties" are defined as the areas
covered by noncity agencies within an MSA
(App. III).
"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. III).
The 1992 rural county arrest trends represent percent-
age differences between 1991 and 1992 volumes
aggregated from contributing agencies. "Rural
Counties" are defined as noncity agencies outside
MSAs (App. III).
"Rural Counties" are defined as noncity agencies
outside MSAs (App. III).
The 1992 suburban area arrest trends represent per-
centage differences between 1991 and 1992 arrest
volumes aggregated from contributing agencies.
"Suburban Area" is defined as cities with fewer
than 50.000 inhabitants and all counties within
MSAs (App. III).
"Suburban Area" is defined as cities with fewer than
50.000 inhabitants and all counties within MSAs
(App. III).
Arrest totals are aggregated for individual agencies
within each state. Population figures represent
July I, 1992, estimates (see App. III).
Population statistics represent July I, 1992, estimates
for individual agencies. See .Appendix III for
definitions of the population classifications pre-
sented.
Slight decrease in coverage for Table 43 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 49 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 55 due to
editing procedure and lower submission of
race data.
I
Slight decrease in coverage for Table 61 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 67 due to
editing procedure and lower submission of
race data.
Any comparison of statistics should take into
consideration variances in arrest practices,
particularly for Part II crimes.
Data furnished are based upon individual state
age definitions for juveniles.
380
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
manslaughter: 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 homi-
cides 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 by a private citizen, b. Manslaughter by
negligence: the killing of another person through gross
negligence. Traffic fatalities are excluded. While man-
slaughter 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 any-
thing 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.
I Aggravated assault. — An unlawful attack by one
Tserson 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
unlawful taking, carrying, leading, or riding away of
property from the possession or constructive possession of
another. Examples are thefts of bicycles or automobile
accessories, shoplifting, pocket-picking, or the stealing of
any property or article which is not taken by force and
^'iolence or by fraud. Attempted larcenies are included.
Embezzlement, "con" games, forgery, worthless checks.
He, are excluded.
Motor vehicle theft. — The theft or attempted theft
jf a motor vehicle. A motor vehicle is self-propelled and
•uns on the surface and not on rails. Specifically excluded
Tom this category are motorboats, construction equip-
Tient, 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 confi-
dence games and bad checks, except forgeries and counter-
feiting.
Embezzlement. — Misappropriation or misapplica-
tion of money or property entrusted to one's care, custody,
or control.
Stolen property; buying, receiving, possessing. —
Buying, receiving, and possessing stolen property, includ-
ing attempts.
Vandalism. — Willful or malicious destruction,
injury, disfigurement, 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 regulations or statutes controlling the carrying, using,
possessing, furnishing, and manufacturing of deadly weap-
ons 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 im-
moral purposes. Attempts are included.
Sex oftenses (except forcible rape, prostitution, and
commercialized vice). — Statutory rape and offenses against
chastity, common decency, morals, and the like. Attempts
are included.
Drug abuse violations. — State and local offenses
relating to the unlawful possession, sale, use, growing, and
manufacturing of narcotic drugs. The following drug
categories are specified: Opium or cocaine and their
derivatives (morphine, heroin, codeine); marijuana; syn-
thetic narcotics — manufactured narcotics that can cause
true addiction (demerol, methadone); and dangerous non-
narcotic drugs (barbiturates, benzedrine).
Gambling. — Promoting, permitting, or engaging in
illegal gambling.
381
Offenses against the family and children. — Nonsup-
port, neglect, desertion, or abuse of family and children.
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 or local liquor law violations,
except "drunkenness" and "driving under the influence."
Federal violations are excluded.
Drunkenness. — Offenses relating to drunkenness or
intoxication. Excluded is "driving under the influence."
Disorderly conduct. — Breach of the peace.
Vagrancy. — Vagabondage, begging, loitering, etc.
All other offenses. — All violations of state 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.
382
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.
Geographically, the United States is divisible by regions,
divisions, and states. Further breakdowns rely on popula-
tion 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.
Communit)' Types
UCR data are often presented in aggregations represent-
ing 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 desig-
nated "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 comparisons 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 presenta-
tions. New England cities and towns are assigned to the
proper MSA. 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
area.
MSAs made up approximately 79 percent of the total
United States population in 1992. Some presentations in
this book refer to "suburban area." A suburban area
includes cities with less than 50.000 inhabitants in addi-
tion 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 of MSAs are
mostly incorporated. They comprised 8 percent of the
1992 population of the United States.
3. Rural Counties Outside MSAs - Rural counties are
comprised of mostly unincorporated areas. Law enforce-
ment agencies in rural counties cover areas that are not
under the jurisdiction of city police departments. Rural
county law enforcement agencies serviced 1 3 percent of the
national population in 1992.
The following is an illustration of the community types:
MSA
NON-MSA
CITIES
CENTRAL CITIES
50,000 AND OVER
CITIES
OUTSIDE
METROPOLITAN
AREAS
SUBURBAN
CITIES
COUNTIES
(including
unincorporated areas)
SUBURBAN
COUNTIES
RURAL
COUNTIES
Population Groups
The population group classifications used by the UCR
Program are:
Population Group
I
II
III
IV
V
VI
Political
Label
. .City
..City
. .City
. .City
..City
.Cityi
VIII (Rural County) County^
IX (Suburban County) County^
Population
Range
250,000 and over
100,000 to 249,999
50,000 to 99,999
25,000 to 49,999
10,000 to 24,999
Less than 10,000
N/A
N/A
' Includes universities and colleges to which no population
is attributed.
^ Includes state police to which no population is attrib-
uted.
The major source of UCR data is the individual law
enforcement agency. The number of agencies included in
each population group will vary slightly from year to year
due to population growth, geopolitical consolidation,
municipal incorporation, etc. Population figures for indi-
vidual jurisdictions are estimated by the UCR Program in
noncensus years. In this edition, the population counts are
based on July I, 1992, Bureau of the Census state
estimates. For all jurisdictions within each state, the
populations were adjusted based on the 1992 growth rate
as supplied by Census. The United States population
estimate showed a 1 -percent increase in 1992 over 1991.
As a result of adjustments in accordance with the 1990
Census, percentages of the U.S. population in rural coun-
ties and cities outside of metropolitan areas declined for
1992, while the MSA population proportion increased.
383
The following table shows the number of UCR contrib-
uting agencies within each population group for 1992.
Population Number of Population
Group Agencies Covered
I 64 46,459,923
II 134 20,014,735
III 362 24,990,803
IV 716 24,881,136
V 1,711 26,908,559
VI ' 7,812 25,443,323
VIII (Rural County) ^ 3508 32,116,321
IX (Suburban County) ...2 1,907 54,266,200
Total 3 16314 255,081,000
'Includes universities and colleges to which no population is attrib-
uted.
includes state police to which no population is attributed.
'Because 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
Midwestern States, the Southern States, and the Western
States. These regions are further divided into nine divi-
sions. The following table delineates the region, division,
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
I
I
I
384
REGIONS
AND DIVISIONS
OFTHE UNITED STATES
385
APPENDIX IV
The Nation's Two Crime Measures
The U.S. Department of Justice administers two statisti-
cal programs to measure the magnitude, nature, and
impact of crime in the United States: the Uniform Crime
Reporting (UCR) Program and the National Crime Vic-
timization Survey (NCVS). Because of differences in
methodology and crime coverage, the results from the two
programs are not strictly comparable nor consistent. By
complementing each other's findings, the two programs
enhance our understanding of the Nation's crime problem.
Uniform Crime Reports
The FBI's UCR Program, which began in 1929, collects
information on the following crimes reported to law
enforcement authorities: homicide, forcible rape, robbery,
aggravated assault, burglary, larceny-theft, motor vehicle
theft, and arson.
The UCR data are compiled from monthly law enforce-
ment reports made directly to the FBI or to centralized
state agencies that then report to the FBI. Each report
submitted to the UCR Program is examined thoroughly for
reasonableness, accuracy, and deviations that may indicate
errors. Large variations in crime levels may indicate
modified records procedures, incomplete reporting, or
changes in a jurisdiction's boundaries. To identify any
unusual fluctuations in an agency's crime counts, monthly
reports are compared with previous submissions of the
agency and with those for similar agencies.
Law enforcement agencies active in the UCR Program
represent approximately 242 million United States inhabi-
tants—95% of the total U. S. population.'
The UCR Program provides crime counts for the Nation
as a whole, as well as for regions, states, counties, cities,
and towns. This permits studies among neighboring juris-
dictions and among those with similar populations and
other common characteristics.
UCR findings for each calendar year are published
initially in a preliminary release in the spring followed by a
detailed annual report. Crime in the United States, issued
in the summer following the calendar year. In addition to
information on crime counts and trends, this report
includes detailed data on crimes cleared, persons arrested
(age, sex, race) for a wide range of crimes, law enforcement
personnel (including the number of sworn officers killed or
assaulted), and the characteristics of homicides (including
age, sex, and race of victims and offenders, victim-offender
relationships, weapons used, and circumstances surround-
ing the homicides). Other special reports are also available
from the UCR Program.
Following a 5-year redesign effort, the UCR Program is
currently converting to a more comprehensive and detailed
reporting system, called the National Incident-Based
Reporting System (NIBRS). NIBRS will provide detailed
information about each criminal incident in 22 broad
categories of oftenses.
National Crime Victimization Survey
The Bureau of Justice Statistics' (BJS) NCVS, which
began in 1973, collects detailed information on the fre-
quency and nature of the crimes of rape, personal robbery,
aggravated and simple assault, household burglary, person-
al and household theft, and motor vehicle theft. It does not
measure homicide or commercial crimes (such as burgla-
ries of stores).
Interviews are conducted by U.S. Census Bureau person-
nel with all household members at least 12 years old in a
nationally representative sample of approximately 49,000
households (about 101,000 persons). Households stay in
the sample for 3 years and are interviewed at 6-month
intervals. New households rotate into the sample on an
ongoing basis.
The NCVS collects information on crimes suffered by
individuals and households, whether or not those crimes
were reported to law enforcement. It estimates the propor-
tion of each crime type that was reported to law enforce-
ment, and it details the reasons given by victims for
reporting or not reporting.
The survey provides information about victims (age, sex,
race, ethnicity, marital status, income, and educational
level), their offenders (sex, race, approximate age, and
victim-offender relationship), and the crimes (time and
place of occurrence, use of weapons, nature of injury, and
economic consequences). Questions also cover the experi-
ences of victims with the criminal justice system, details on
self-protective measures used by victims, and possible
substance abuse by offenders. Periodically, supplements
are added to the survey to obtain detailed information on
special topics such as school crime.
Findings from the NCVS for each calendar year are
published in a press release the following April (prelimi-
nary data), in a BJS Bulletin in the fall presenting summary
final data, and in a detailed report the following June
covering all NCVS variables. Each year BJS staff develop
Special and Technical Reports on specific crime topics.
Comparing UCR and NCVS
As the previous description illustrates, there are signifi-
cant differences between the two programs. The NCVS, for
example, includes crimes both reported and not reported
to law enforcement, but it excludes homicide, arson,
commercial crimes, and crimes against children under age
Population coverage is according to 1992 figures.
16
12 (all of which are included in the UCR Program). The
UCR captures crimes reported to law enforcement, but it
excludes simple assaults from the Crime Index. Moreover,
even when the same crimes are included in the UCR and
NCVS, the definitions vary.
Another difference is the way that rate measures are
presented for crimes such as burglary, household theft, and
motor vehicle theft in the two programs. The UCR rates
for these crimes are largely per-capita (number of crimes
per 100,000 persons), whereas the NCVS rates for these
crimes are per-household (number of crimes per 1,000
households). Because the number of households may not
grow at the same rate each year as the total population,
trend data for rates of household crimes measured by the
two programs may not be comparable.
In any large-scale data collection program, there are
many possible sources of error. For example, in the UCR
Program, a police officer may classify a crime incorrectly,
and in the NCVS a Census Bureau interviewer may
incorrectly record the responses given by a crime victim.
Crime data may also be affected by how the victim
perceives and recalls the event. Moreover, as data are
compiled and processed, clerical errors may be introduced
at any stage. Both the UCR and NCVS programs employ
extensive accuracy checks at various stages in the data
collection process to minimize errors.
As noted above, the NCVS is based on an extensive,
scientifically selected sample of American households.
Thus, every crime measure presented in NCVS reports is
an estimate for the Nation based on results obtained from
the sample. Estimates based on a sample have sampling
variation, or a margin of error (which defines a confidence
interval) associated with each estimate. This means that if
another sample is drawn, there is a certain probability that
the resulting estimate would be somewhat different from
the original one. If the survey were repeated many times
with different samples, the resulting estimates would
cluster around the actual measure for the entire popula-
tion. Rigorous statistical methods are used for calculating
the magnitude of the sampling variation associated with
the NCVS estimates. Trend data in NCVS reports are
described as genuine year-to-year changes only if there is at
least a 90% certainty that the measured changes are not the
result of sampling variation. The UCR data are based on
the actual count of offenses reported by law enforcement
jurisdictions. In some circumstances UCR data are esti-
mated for nonparticipating jurisdictions or those reporting
partial data.
Some differences in data from the two programs may
result from the fact that NCVS estimates are subject to
sampling variation. Apparent discrepancies between statis-
tics from the two programs can usually be resolved by
comparing NCVS sampling variations (confidence inter-
vals) with UCR statistics. Year-to-year changes in individ-
ual crime categories reported by the UCR usually fall
within the confidence intervals of the NCVS estimates,
indicating no statistically significant differences between
the output of the two programs. Even should the UCR
changes fall outside the intervals, incompatibility of statis-
tics should not be assumed. To illustrate, when differences
between UCR and NCVS occur, there is a 10% chance they
are due to sampling variation because of the 90% confi-
dence level established by NCVS. It should also be noted
that definitional and procedural differences between the
UCR and NCVS programs can account for apparent
discrepancies in data output.
As has been discussed throughout, the results of UCR
and NCVS are not strictly comparable for a variety of
reasons. Data users, however, possessing the basic under-
standing of each program's objectives, methodology, and
coverage, can use the output from each in a complemen-
tary manner to better assess crime occurrence, losses, law
enforcement involvement, arrestee descriptive informa-
tion, and victimization data. By properly utilizing both
programs in tandem, the crime issues in this country can be
viewed in a much broader, more complete scope.
387
APPENDIX V
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
(205) 242-4900 x 225
Uniform Crime Reporting Section
Department of Public Safety Information System
5700 East Tudor Road
Anchorage, Alaska 99507
(907) 269-5659
Commissioner
Department of Public Safety
Post Office Box 1086
Pago
American Samoa 96799
(684) 633-5221
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
Bureau of Criminal Statistics
Department of Justice
Post Office Box 903427
Sacramento, California 94203
(916) 227-3554
Uniform Crime Reporting
Colorado Bureau of Investigation
690 Kipling Street
Denver, Colorado 80215
(303) 239-4300
Uniform Crime Reporting Program
294 Colony Street
Meriden, Connecticut 06450
(203) 238-6653
State Bureau of Identification
Post Office Box 430
Dover, Delaware 19903
(302) 739-5875
388
APPENDIX V— DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS— Continued
District of Columbia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Iowa
Data Processing Division
Metropolitan Police Department
300 Indiana Avenue, Northwest
Washington, D.C. 20001
(202) 727-4301
Uniform Crime Reports Section
Special Services Bureau
Florida Department of Law Enforcement
Post Office Box 1489
Tallahassee, Florida 32302
(904) 487-1179
Georgia Crime Information Center
Georgia Bureau of Investigation
Post Office Box 370748
Decatur, Georgia 30037
(404) 244-2614
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 Program
Department of the Attorney General
Suite 701
810 Richards Street
Honolulu, Hawaii 96813
(808) 586-1416
Criminal Identification Bureau
Department of Law Enforcement
6064 Corporal Lane
Boise, Idaho 83704
(208) 327-7130
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) 232-6000
Kentucky State Police
Information Services Branch
1250 Louisville Road
Frankfort, Kentucky 40601
(502) 227-8783
389
APPENDIX V— DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS— Continued
Maine
Maryland
Massachusetts
Michigan
Minnesota
Montana
Nebraska
New Hampshire
New Jersey
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
Uniform Crime Reporting
Crime Reporting Unit
CIS Fifth Floor
Massachusetts State Police
1010 Commonwealth Avenue
Boston, Massachusetts 02215
(617) 566-4500
Uniform Crime Reporting Section
Michigan State Police
7150 Harris Drive
Lansing, Michigan 48913
(517) 322-5542
Office of Information Systems Management
Minnesota Department of Public Safety
Room 314 Transportation Building
395 John Ireland Boulevard
St. Paul, Minnesota 55155
(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
Uniform Crime Report
Division of State Police
10 Hazen Drive
Concord, New Hampshire 03305
(603) 271-2509
Uniform Crime Reporting
Division of State Police
Post Office Box 7068
West Trenton, New Jersey 08628
(609) 882-2000 x 2392
390
I
Ml
APPENDIX V— DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS— Continued
New York
North Carolina
North Dakota
Oklahoma
Oregon
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
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
State Bureau of Investigation
Division of Criminal Information
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) 221-5500
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 Executive Department
155 Cottage Street, Northeast
Salem, Oregon 97310
(503) 378-3057
Bureau of Research and Development
Pennsylvania State Police
1800 Elmerton Avenue
Harrisburg, Pennsylvania 17110
(717) 783-5536
Superintendent
Puerto Rico Police
Roosevelt Avenue 101
Puerto Nuevo Hato Rey
San Juan, Puerto Rico 00918
(809) 782-1540
Rhode Island State Police
Post Office Box 185
North Scituate, Rhode Island 02857
(401) 647-3311
South Carolina Law Enforcement Division
Post Office Box 21398
Columbia, South Carolina 29221
(803) 896-7162
South Dakota Statistical Analysis Center
c/o 500 East Capitol Avenue
Pierre, South Dakota 57501
(605) 773-6310
391
APPENDIX V— DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS— Continued
Texas
Utah
Vermont
Virginia
Virgin Islands
Washington
West Virginia
Wisconsin
Wyoming
Uniform Crime Reporting Bureau
Crime Records Division
Texas Department of Public Safety
Post Office Box 4143
Austin, Texas 78765
(512) 465-2091
Uniform Crime Reporting
Utah Department of Public Safety
4501 South 2700 West
Salt Lake City, Utah 84119
(801) 965-4445
Vermont Department of Public Safety
Post Office Box 189
Waterbury, Vermont 05676
(802) 244-8786
Records Management Division
Department of State Police
Post Office Box 27472
Richmond, Virginia 23261
(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
(206) 586-3221
Uniform Crime Reporting Program
725 Jefferson Road
South Charleston, West Virginia 25309
(304) 746-2159
Office of Justice Assistance
2nd Floor
222 State Street
Madison, Wisconsin 53703
(608) 266-3323
Uniform Crime Reporting
Criminal Records Section
Division of Criminal Investigation
316 West 22nd Street
Cheyenne, Wyoming 82002
(307) 777-7625
392
APPENDIX VI
National Uniform Crime Reporting Program
Directory
Administration (202) 324-2614
Program administration; management; policy
Information Dissemination (202) 324-50 1 5
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) 324-5038
Requests for training of law enforcement; information on police reporting systems; liaison with
state UCR Programs; technical assistance
Statistical Analysis/Processing (202) 324-382 1
Statistical models; special studies and analyses; crime forecasting; processing of summary and
incident-based reports from data contributors; reporting problems; requests for reporting forms
393
APPENDIX VII
Uniform Crime Reporting Publications List
Crime in the United States (annual)
Law Enforcement Officers Killed and Assaulted (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 Ojficers Killed (semiannual)
Hate Crime (annual)
I
* U.S. GOVERNMENT PRINTING OFFICE: 1993 342-498/94321
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Crime in the United States - 1992
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