L.S. Department of Justice •
Federal Bureau of Investigation
1
Uniform Crime Reports
Release Date
Sunday
July 10, 1988
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Crime
in the
United
States
^ or OOOOOOOOOOOOOOOOOOOOCXDOOOOOOOOOOOOOOOOOOOOOOOO
UNIFORM
SUMMARY
CRIME
REPORTS
for the United States
CRIME INDEX
PRINTED ANNUALLY— 1987 by:
Federal Bureau of Investigation
U.S. Department of Justice, Washington, D.C. 20535
CRIMES CLEARED
PERSONS ARRESTED
Advisory: Committee on Uniform Crime Records
International Association of Chiefs of Police;
Committee on Uniform Crime Reporting
National Sheriffs' Association
LAW ENFORCEMENT PERSONNEL
APPENDICES
For &ale by the Supenntendeni of Documents. U.S. Govemmeni Printing Office, Washington. DC 20402
FOREWORD
Americans, like all people, are concerned about the quality of their lives.
Along with many social, economic, and political factors, crime imposes a
significant influence on our existence. Its prevalence weighs upon our decisions
regarding the location of our residences, the schools to which we send our
children, and the shopping centers we frequent.
We Americans can be credited for feeling a moral imperative to correct
what is wrong, to change social ills, and to improve our environment. Most of us
act rather than avoid; we develop rather than merely subsist. The direct
involvement of concerned citizens is demonstrated in many areas. One example
is their response to the President's war on drugs. Recognition of illegal drug use
as an erosion of society, not as an expression of free choice, has brought citizens'
support of the fight against drug abuse to the forefront. Crime Watch, Victims
Assistance, and other such programs also serve as examples of citizens' actions
against crime.
Likewise, law enforcement, while faced with shrinking budgets, continues to
work for improved efficiency and effectiveness in the war against crime.
Identified as important and necessary by law enforcement in this endeavor is the
collection of enhanced crime statistics. Expanding the amount and detail of
crime statistics available for analysis will more meaningfully determine the
nature and scope of crime.
In the coming years, law enforcement, with the FBI's support, will begin to
compile data far beyond the summary totals now collected. The redesigned
UCR Program will address the circumstances of individual criminal events, as
well as offender, victim, and arrestee information. Other data vital to an
understanding of such issues as illicit drug use, spousal and child abuse, and
parental kidnaping will be provided in the new Program.
As more and more law enforcement agencies implement the system, the full
significance of the new data will be realized. State and national lawmakers,
courts, and city officials, in addition to law enforcement, will have at their
disposal a wealth of pertinent information on which to base decisions, enact
laws, and utilize resources. Explanations and remedies for criminally related
social problems can also hopefully be identified by social research. Most
importantly, the American taxpayer will be provided a broad and definitive
account of crime.
Crime must be controlled if the quality of life we all seek is to be attained.
To be controlled, crime must be understood. Criminal activity, its social causes,
and its effects in human and economic terms must be appreciated. I extol the
efforts of law enforcement to establish the new crime reporting system that will
make the public fully cognizant of the dimension of crime. Law enforcement's
recognition that the best served public is the best informed promises a lasting
and free society.
/•
William S. Sessions
Director
iii
CRIME FACTORS
The presence of crime in our Nation is a matter of serious concern not only
to the law enforcement profession, but to society at large. Historically, the
causes and origins of crime have been the subjects of investigation by varied
disciplines. Some factors affecting 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, destitution, and job
availability.
Cultural conditions, such as 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).
Attitudes of citizenry toward crime.
Crime reporting practices of 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, states, or colleges
and universities solely on the basis of their population coverage or student
enrollment.
CONTENTS
Page
Section I- Summary of the Uniform Crime Reporting Program 1-5
Section II- Crime Index Offenses Reported 6-152
Narrative comments:
Murder and nonnegligent manslaughter 7-12
Forcible rape 13-15
Robbery 1 6-20
Aggravated assault 21-23
Burglary 24-27
Larceny-theft 28-32
Motor vehicle theft 33-35
Arson 36-39
Crime Index tabulations 40-4 1
Charts:
Crime clock, 1 987 6
Murder, monthly variation from annual average 8
Murder, 1983-1987 8
Forcible rape, monthly variation from annual average 14
Forcible rape, 1983-1987 14
Robbery, monthly variation from annual average 17
Robbery, 1983-1987 17
Robbery analysis, 1983-1987 19
Aggravated assault, monthly variation from annual average 22
Aggravated assault, 1 983-1987 22
Burglary, monthly variation from annual average 25
Burglary, 1983-1987 25
Burglary analysis, 1983-1987 26
Larceny-theft, monthly variation from annual average 29
Larceny-theft, 1983-1987 29
Larceny analysis, 1983-1987 30
Larceny analysis, 1987 31
Motor vehicle theft, monthly variation from annual average 34
Motor vehicle theft, 1983-1987 34
Crime Index total, 1983-1987 43
Tables:
Murder;
By month, percent of annual total, 1983-1987 8
Age, sex, and race of victims, 1987 9
Victim/offender relationship by race and sex, 1987 9
Type of weapons used, 1987 10
Victims, type of weapons used, 1983-1987 10
Victims — weapons used, 1 987 10
Circumstances by relationship, 1987 11
Circumstances by weapon, 1987 11
Circumstances, 1983-1987 12
Forcible rape, by month, percent of annual total, 1983-1987 14
Robbery:
By month, percent of annual total, 1983-1987 17
Percent distribution, region, 1987 18
Percent distribution, population group, 1987 18
Type of weapons used, 1987 18
vii
Page
Tables — continued
Aggravated assault:
By month, percent of annual total, 1983-1987 22
Type of weapons used, 1987 23
Burglary, by month, percent of annual total, 1983-1987 25
Larceny-theft:
By month, percent of annual total, 1983-1987 29
By region, 1987 32
Motor vehicle theft:
By month, percent of annual total, 1983-1987 34
By region, 1987 35
Arson, 1987:
Rate, population group 37
Type of property 37
Structures not in use 38
Property damage 38
Offenses cleared by arrest 38
Offenses cleared by arrest of persons under 18 years of age 38
Index of crime:
United States, 1978-1987 41
United States, 1987 42
Regional offense and population distribution, 1987 42
Region, geographic division, and state, 1986-1987 44-51
State, 1987 52-62
Number of offenses known to the police, 1987:
Cities and towns 10,000 and over in population 63-109
Universities and colleges 110-117
Suburban counties 118-131
Rural counties 25,000 and over in population 132-139
Crime trends, offenses known to the police, 1986-1987:
Population group 140-141
Suburban and nonsuburban cities, population group 142
Suburban and nonsuburban counties, population group 143
Offense breakdown, population group 144-145
Crime rates, offenses known to the police, 1987:
Population group 1 46-147
Suburban and nonsuburban cities, population group 148
Suburban and nonsuburban counties, population group 149
Offense breakdown, population group 1 50- 1 5 1
Offense analysis, 1987, and percent change from 1986 152
Type and value of property stolen and recovered, 1987 152
Section Ill-Crime Index Offenses Cleared 153-162
Narrative comments 153
Chart:
Crimes cleared by arrest, 1987 154
Tables:
Offenses known and percent cleared by arrest, 1987:
Population group 155-156
Geographic region and division 1 57- 158
Offense breakdown, population group 159-160
Offenses cleared by arrest of persons under 18 years of age, 1987 161-162
viii
Page
Section IV- Persons Arrested 163-225
Narrative comments 1 63- 1 64
Tables:
Arrests for drug abuse violations, 1987 163
Total estimated arrests. United States, 1987 164
Arrests, number and rate, 1987:
Region 165
Population group 1 66- 1 67
Total arrest trends:
1978-1987 168
Sex, 1978-1987 169
1983-1987 170
Sex. 1983-1987 171
1986-1987 172
Sex. 1986-1987 173
Total arrests. 1987:
Distribution by age 1 74- 1 75
Male arrests, distribution by age 176-177
Female arrests, distribution by age 178-179
Of persons under 15, 18. 21, and 25 years of age 180
Distribution by sex 181
Distribution by race 1 82- 1 84
City arrest trends:
1986-1987 185
Sex. 1986-1987 186
City arrests, 1987:
Distribution by age 187-188
Of persons under 15, 18, 21, and 25 years of age 189
Distribution by sex 1 90
Distribution by race 191-193
Suburban county arrest trends:
1986-1987 194
Sex, 1986-1987 195
Suburban county arrests, 1987:
Distribution by age 1 96- 197
Of persons under 15, 18, 21, and 25 years of age 198
Distribution by sex 199
Distribution by race 200-202
Rural county arrest trends:
1986-1987 203
Sex, 1986-1987 204
Rural county arrests, 1987:
Distribution by age 205-206
Of persons under 15, 18, 21, and 25 years of age 207
Distribution by sex 208
Distribution by race 209-2 1 1
Suburban area arrest trends:
1986-1987 212
Sex, 1986-1987 213
Suburban area arrests, 1987:
Distribution by age 214-2 1 5
Of persons under 15, 18, 21, and 25 years of age 216
Distribution by sex 217
Distribution by race 21 8-220
Arrests by state. Crime Index offenses. 1987 221-224
Police disposition of juvenile offenders taken into custody, 1987 225
Page
Law Enforcement Code of Ethics 226
Section V-Law Enforcement Personnel 227-310
Narrative comments 227-228
Tables:
Full-time law enforcement employees, October 31, 1987:
Employees, rate per 1 ,000 inhabitants, region and population group 227
Officers, rate per 1,000 inhabitants, region and population group 228
Employees, number and rate per 1,000 inhabitants, geographic division and population group 229
Officers, number and rate per 1,000 inhabitants, geographic division and population group 230
Employees, range in rate per 1,000 inhabitants 231
Officers, range in rate per 1,000 inhabitants 232
Employees, percent male and female 233
Civilian employees, percent of total, population group 233
State agencies 234
Cities 235-292
Universities and colleges 293-296
Suburban counties 297-300
Rural counties 301-3 10
Section VI- Appendices 311-351
Appendix I- Table methodology 311-314
Appendix Il-Offenses in Uniform Crime Reporting 315-316
Appendix III- Uniform Crime Reporting area definitions 317-318
Appendix IV- Index of Crime, Metropolitan Statistical Areas, 1987 319-346
Appendix V- Directory of Uniform Crime Reporting Programs 347-35 1
SECTION I
SUMMARY OF THE UNIFORM CRIME REPORTING
PROGRAM
The Uniform Crime Reporting (UCR) Program is a
cooperative statistical effort of approximately 16,000 city,
county, and state law enforcement agencies voluntarily
reporting data on crimes brought to their attention. 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 leading social
indicators in the country. The American public looks to
UCR for information on fluctuations in the level of crime,
while criminologists, sociologists, legislators, municipal
planners, the press, and other students of criminal justice
use the statistics for varied research and planning purposes.
Historical Background
Recognizing a need for national crime statistics, the
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 geographic areas of the country, and
likelihood of being reported to law enforcement. After
studying state criminal codes and making an evaluation of
the recordkeeping practices in use, the Committee in 1929
completed a plan for crime reporting which became the
foundation of the UCR Program.
Seven offenses were chosen to serve as an Index for
gauging fluctuations in the overall volume and rate of crime.
Known collectively as the Crime Index, these offenses
included the violent crimes of murder and nonnegligent
manslaughter, 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 difl^erent state codes, no
distinction between felony and misdemeanor crimes was
possible. To avoid these problems and provide nationwide
uniformity in crime reporting, standardized offense
definitions by which law enforcement agencies were to
submit data, without regard for local statutes, were
formulated. The definitions used by the Program are set
forth in Appendix II of this publication.
In January, 1930, 400 cities representing 20 million
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 procedurfes for
reporting have been obtained from the Nation's law
enforcement agencies.
While throughout the years the 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
concurred with the need for an updated Program and lent
its complete support, formulating a comprehensive three-
phase redesign effort. The Bureau of Justice Statistics (BJS),
the Department of Justice agency responsible for funding
criminal justice information projects, agreed to provide
financial support for 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
implementation 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, quahty control, publications
and user services, and relationships with other criminal
justice data systems, were studied.
Early in 1984, a conference on the future of UCR, held in
Elkridge, Maryland, launched the second phase of the
study, which would examine potential futures for UCR and
conclude with a set of recommended changes. Attendees at
this 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
Committee 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 unanimously
approved. The joint lACP/National Sheriffs' Association
(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
informational needs into the next century. There were three
recommended areas of enhancement to the UCR Program.
First, reporting of offenses and arrests would be made by
means of an incident-based system. Second, collection of
data would be 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 populations of
over 100,000 and a sampling of smaller agencies would be
included in level two, which would collect expanded detail
on all significant offenses. The third proposal involved
introducing a quality assurance program.
One of the first actions taken by the FBI to begin
implementation was to award a contract for the
development 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 current
summary reporting.
Concurrent with the preparation of the data elements, the
FBI studied the various state systems to select an
experimental site for implementation of the redesigned
Program. In view of its long-standing incident-based
Program and well-established staff dedicated solely to UCR,
the South Carolina Law Enforcement Division (SLED) was
chosen. The SLED agreed to adapt its existing system to
meet the requirements of the redesigned Program and
collect data on both offenses and arrests relating to the
newly defined offenses.
To assist SLED in conducting the pilot project, offense
definitions and data elements developed under the private
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.
Advisory Groups
Providing vital links between local law enforcement and
the FBI in the conduct of the UCR Program are the lACP
and the NSA. The lACP's Committee on Uniform Crime
Records, as it has since the Program began, represents the
thousands of police departments nationwide. The NSA's
Committee on Uniform Crime Reporting, 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.
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.
Methods of Data Collection
The information compiled by UCR contributors is
forwarded to the FBI either directly from the local law
enforcement agency or through a state-level UCR Program.
Agencies submitting directly to the FBI are provided
continuing guidance and support on an individual basis.
State-level UCR Programs are very effective inter-
mediaries between local contributors and the FBI. Many of
the 41 state Programs have mandatory reporting
requirements and collect data beyond the national UCR
scope to address crime problems germane to their particular
locales. In most cases, these agencies are also able to provide
more direct and frequent service to participating law
enforcement agencies, to make information more readily
available for use at the state level, and to contribute to more
streamlined operations at the national level.
With the development of a state UCR Program, the FBI
ceases direct collection of data from individual law
enforcement agencies within the state. Instead, information
from local agencies is forwarded to the national Program
through the state data collection agency.
The conditions under which these systems are developed
ensure consistency and comparability in the data submitted
to the national Program, as well as provide for regular and
timely reporting of national crime data. These conditions
are: (1) The state Program must conform to national
Uniform Crime Reports' standards, definitions, and
information requirements. The states are not, of course,
prohibited from collecting other statistical data beyond the
national requirements. (2) The state criminal justice agency
must have a proven, effective, statewide Program and have
instituted acceptable quality control procedures. (3)
Coverage within the state by a state agency must be, at least,
equal to that attained by the national Uniform Crime
Reports. (4) The state agency must have adequate field staff
assigned to conduct audits and to assist contributing
agencies in record practices and crime reporting procedures.
(5) The state agency must furnish to the FBI all of the
detailed data regularly collected by the FBI in the form of
duplicate returns, computer printouts, and/or magnetic
tapes. (6) The state agency must have the proven capability
(tested over a period of time) to supply all the statistical
data required in time to meet national Uniform Crime
Reports' publication deadlines.
To fulfill its responsibilities in connection with the UCR
Program, the FBI continues to edit and review individual
agency reports for both completeness and quality; has direct
contact with individual contributors within the state when
necessary in connection with crime reporting matters,
coordinating such contact with the state agency; and upon
request, conducts training programs within the state on law
enforcement records and crime reporting procedures.
Should circumstances develop whereby the state agency
does not comply with the aforementioned requirements, the
national Program may reinstitute a direct collection of
Uniform Crime Reports from law enforcement agencies
within the state.
Reporting Procedures
Based on records of all reports of crime received from
victims, officers who discover infractions, or other sources,
law enforcement agencies across the country tabulate the
number of Crime Index or Part I offenses brought to their
attention during each month. Specifically, the crimes
reported to the FBI are murder and nonnegligent
manslaughter, forcible rape, robbery, aggravated assault,
burglary, larceny-theft, motor vehicle theft, and arson.
Whenever complaints of crime are determined through
investigation to be unfounded or false, they are eliminated
from an agency's count. The number of "actual offenses
known" is reported to the FBI regardless of whether anyone
is arrested for the crime, stolen property is recovered, or
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 police control precludes the arrest of an
offender. Law enforcement agencies also report the number
of Index crime clearances which involve only offenders
under the age of 18; the value of property stolen and
recovered in connection with the offenses; and detailed
information pertaining to criminal homicide and arson.
In addition to its primary collection on Crime Index (Part
I) offenses, the UCR Program solicits monthly data on
persons arrested for all crimes except traffic violations. The
age, sex, and race of arrestees are reported by crime
category, both Part I and Part II. Part II offenses include all
crimes not classified as Part I.
Various data on law enforcement officers killed or
assaulted are collected on a monthly basis. The number of
full-time sworn and civilian personnel are reported
annually, as of October 31.
Editing Procedures
Each report submitted to the UCR Program is
thoroughly examined for arithmetical accuracy and for
deviations which may indicate errors. To identify any
unusual fluctuations in an agency's crime counts, monthly
reports are compared with previous submissions of the
agency and with those for similar agencies. Large variations
in crime levels may indicate modified records procedures,
incomplete reporting, or changes in the jurisdiction's
geopolitical structure.
Data reliability is a high priority of the Program and
noted deviations or arithmetical adjustments are brought to
the attention of the state UCR Program or the submitting
agency through correspondence. A standard procedure of
the FBI is to study the monthly reports and to evaluate
periodic trends prepared for individual reporting units. Any
significant increase or decrease is made the subject of a
special inquiry. When it is found that changes in crime
reporting procedures or annexations are influencing the
level of crime, the figures for specific crime categories, or if
necessary, totals are excluded from trend tabulations.
To assist contributors in complying with UCR standards,
the national Program provides training seminars and
instructional materials in crime reporting procedures.
Throughout the 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 methods
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 participants,
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. Although
the Program makes every effort through its editing
procedures, training practices, and correspondence to assure
the validity of the data it receives, the statistics' accuracy
depends primarily on the adherence of each contributor to
the established standards of reporting. Deviations from
these established standards which cannot be resolved by the
national UCR Program may be brought to the attention of
the Committee on Uniform Crime Records of the lACP or
the Committee on Uniform Crime Reporting of the NSA.
Reporting Area
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. As discussed in Appendix III, further
breakdowns rely on population figures and proximity to
metropolitan areas.
A Metropolitan Statistical Area (MSA) is an integrated
economic and social unit with a recognized large population
nucleus. Each has a central city of at least 50,000 population
or an urbanized area of at least 50,000. Contiguous counties
which meet specified criteria of metropolitan character and
integration, designated suburban counties in UCR, are
included. Due to changes in the geographic compositions of
MSAs, no year-to-year comparisons of data for those areas
should be attempted.
Rural counties and "other cities," most of which are
incorporated, are outside MSAs. As a general rule, sheriffs,
county police, and state police report crimes committed
within the limits of the counties but outside cities, while
local police report crimes committed within the city limits.
Certain tables within this publication present statistics
relative to "suburban" areas. A suburban area consists of
cities with fewer than 50,000 inhabitants together with
counties which are within an MSA. In this context, the
central city is, of course, excluded. The concept of suburban
area is especially important in a study of this nature because
of the particular crime conditions which exist in the
communities surrounding the Nation's largest cities.
During 1987, law enforcement agencies active in the UCR
Program represented approximately 235 million United
States inhabitants, or 96 percent of the total population as
established by the Bureau of the Census. The coverage
amounted to 98 percent of the United States population
living in MSAs, 93 percent of the population in "other
cities," and 89 percent of the rural population.
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 6, 7, 8, and 9, 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
presentations are aggregated as set forth in Appendix I.
Unless consisting of estimates for the total United States
population, each table in this publication shows the number
of agencies reporting and the extent of population coverage.
Population Data
Current year population figures for the Nation, states,
geographic regions, and divisions are Bureau of the Census
provisional estimates as of July 1, 1987. Using these figures
along with the 1986 Bureau of the Census provisional
estimates for all cities and counties, the populations of
individual jurisdictions were extrapolated (see Appendix
III). The estimated United States population increase in
1987 was approximately 1 percent over the 1986 estimate.
Offense Estimation
Tables 1 through 5 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, "other cities," 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, 1986, and 1987 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 subsequently for most local law
enforcement agencies 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, 7, 8, 9, and Appendix
IV which present individual MSA, city, county, and
university/college data. 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. The 1985 and 1986
estimates have been updated and are different than those in
previous issues of this book.
Crime Trends
Showing fluctuations from year to year, trend statistics
ofTer the data user an added perspective from which to study
crime. Percent change tabulations in this publication are
computed only for reporting units which have provided
comparable data for the periods under consideration.
Exclusions from trend computations are made when figures
from a reporting agency are not received for comparable
timeframes or when it is ascertained that unusual
fluctuations are due to such variables as improved records
procedures, annexations, etc.
Care should be exercised in any direct comparison
between data in this publication and those in prior issues of
Crime in the United States. Valid percent changes for 2, 5,
and 10 years are presented in this book's tabular portions.
Recent Developments
REDESIGN OF UCR— 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.
The conference agenda included addresses by the lACP
and NSA UCR Committee Chairmen, State UCR Program
representatives, FBI executives, and the Executive Director
of the lACP. Workshops offered forums for lively
exchanges of ideas and opinions on the enhanced Program's
content and possible output. Computer displays in an
automation workshop acquainted attendees with state-of-
the-art law enforcement records software.
During the conference, the Association of State UCR
Programs overwhelmingly passed two resolutions. One
encouraged the FBI to seek the participation of all Federal
law enforcement agencies in reporting crime through the
new UCR Program. The other endorsed the efforts of the
FBI to produce a final version of the revised UCR by July 1,
1988. It also urged the Association membership to go
forward with implementation in their states at a pace
commensurate with their abilities and with regard to the
limitations of their contributing agencies. The FBI supports
these resolutions, and in fact, disapproves of any effort to
push chiefs or sheriffs toward adoption of the new UCR
Program prior to their acquisition of required resources
(personnel, data processing, etc.).
Three overall conference endorsements were passed
without dissent. First, that there be established a new,
incident-based national crime reporting system; second, that
the FBI manage this Program; and third, that an Advisory
Policy Board composed of law enforcement executives be
formed to assist in the direction and implementation of the
new Program.
As presented at the conference, the enhanced UCR
Program will collect data on each single incident and arrest
within 24 crime categories. For each offense known to police
within these categories, incident, victim, property, offender,
and arrestee information will be gathered when available.
The goal of the redesign is to modernize crime information
by collecting data presently maintained in law enforcement
records; the enhanced UCR Program is, therefore, a
byproduct of current records systems. The integrity of
UCR's long running statistical series will, of course, be
maintained.
ADVISORY POLICY BOARD— The implementation of
an expanded and enhanced UCR Program will result in a
wealth of crime data never before available. To function in
an advisory capacity concerning UCR policy and provide
suggestions on uses of the data collected under the enhanced
UCR Program, law enforcement professional organizations
have recommended the creation of an Advisory Policy
Board (APB). The FBI supports the APB concept and has
formally begun the process to obtain approval for the
creation of a Board comprised of executives from local law
enforcement agency data contributors. An APB, the FBI
believes, will serve not only the best interests of law
enforcement but the American public as well.
LAW ENFORCEMENT OFFICERS KILLED AND
ASSAULTED — In connection with its Law Enforcement
Officers Killed and Assaulted Program, the national UCR
staff is conducting a special statistical effort to study officer
homicides in much greater detail than ever before. With the
assistance of the FBI's Behavioral Science Unit and an
outside consultant, the staff has developed a protocol from
which to interview offenders convicted of having killed law
enforcement officers. The main objective of the interviews is
to identify any measures the officers could have taken or
avoided that would have saved their lives. An attempt is also
being made to identify danger signals that may have been
exhibited by the perpetrator. The protocol has been tested,
and over 20 interviews have been conducted. When
complete, the project's data should lend new insight to
officer survival training programs.
CRIME CLOCK
1987
one
MURDER
every 26 minutes
one
FORCIBLE RAPE
every 6 minutes
one
VIOLENT CRIME
every 21 seconds
one
CRIME INDEX OFFENSE
every 2 seconds
one
ROBBERY
every minute
one
PROPERTY CRIME
every 3 seconds
one
AGGRAVATED ASSAULT
every 37 seconds
one
BURGLARY
every 1 0 seconds
one
LARCENY-THEFT
every 4 seconds
J. The crime clock should be viewed with care. Being the most aggregate
representation of UCR data, it is designed to convey the annual reported
crime experience by showing the relative frequency of occurrence of the In-
dex Offenses. This mode of display should not be taken to imply a regu-
larity in the commission of the Part I Offenses; rather, it represents the an-
nual ratio of crime to fixed time intervals.
one
MOTOR VEHICLE THEFT
every 24 seconds
SECTION II
CRIME INDEX OFFENSES REPORTED
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.
TWFNn
Rate per 100,000
Year
Number of offenses
inhabitants
1986
20.613
8.6
1987
20.096
8.3
Percent change
-2.5
-3.5
Volume
The estimated number of murders in the United States
totaled 20,096 during 1987, representing 1 percent of the
violent crimes committed. More persons were murdered
during December, while the lowest number of incidents was
recorded in April.
MURDER BY MONTH, 1987
Variation tram Annual Average
Jan Feb Mar Apr May Jun Jul Aufl Sep Oct Nov Dec
1987. The Northeast and Midwest each showed upswings of
1 percent for the 2-year period.
The accompanying chart reveals a 4-percent rise
nationally in the murder counts from 1983 to 1987. The 10-
year trend showed the 1987 total 3 percent above the 1978
level.
MURDER
■♦■ Number of Offenses
Known Up 4%
■*- Rate per 100,000
Inhabitants ■ No
Change
1987
Murder by Month, 1983-1987
[Percent of annual total]
Months
January
February...
March
April
May
June
July
August
September .
October
November .
December..
1983
8.4
7.6
8.4
8.0
8.3
7.6
8.9
8.9
8.7
8.4
7.8
9.0
1984
8.3
7.5
8.1
7.9
8.0
7.8
8.6
8.6
9.0
1985
8.1
7.9
8.1
7.6
7.6
8.2
9.3
9.1
8.1
8.4
8.2
9.4
1986
7,7
7.0
8.3
8.0
8.2
8.3
9.4
9.4
9.1
8.3
8.0
8.4
1987
7.7
7.9
8.2
7.6
8.6
7.8
8.6
8.9
8.3
8.8
8.3
9.1
Geographically, the Southern States, the most populous
region, accounted for 42 percent of the murders. The
Western States reported 21 percent; the Midwestern States,
20 percent; and the Northeastern States, 17 percent,
Trend
There were 3 percent fewer murders reported nationwide
in 1987 than in 1986. The Nation's cities overall experienced
a decrease of 4 percent, with declines ranging from 12
percent in those with populations from 250,000 to 499,999
to 1 percent in those with populations of 1 million or more.
Suburban counties recorded no change, and the rural
counties registered a 4-percent increase.
Viewed regionally, the murder counts declined 4 and 6
percent in the South and West, respectively, from 1986 to
Rate
Down 3 percent from 1986, the 1987 United States
murder rate was 8 per 100,000 inhabitants. On a regional
basis, the Southern States averaged 10 murders per 100,000
people; the Western States, 9 per 100,000; and both the
Northeastern and Midwestern States, 7 per 100,000, Rate
decreases were seen in two of the four regions, 1986 versus
1987, The murder rate in the West was down 8 percent and
in the South, 6 percent. The Northeast and Midwest
recorded increases of 1 and 2 percent, respectively.
The Nation's metropolitan areas reported a 1987 murder
rate of 9 victims per 100,000 inhabitants. In the rural
counties, the rate was 6 per 100,000, and in the cities outside
metropolitan areas, it was 5 per 100,000.
Nature
Supplemental data provided by contributing agencies
recorded information for 17,859 of the estimated 20,096
murders in 1987. 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.
Based on this information, 74 percent of the murder
victims in 1987 were males. Ninety percent were persons 18
years of age or older, with 49 percent aged 20 through 34
years. Considering victims for whom race was known, an
average of 53 of every 100 were white, 45 were black, and
the remainder were persons of other races.
Age, S«x, ind Race of Murder VIctimi, 1987
Aje
Total
Sex
Race
Male
Female
Unknown
While
Black
Other
Unknown
Total
17,859
100,0
13,165
73.7
4,676
26,2
18
,1
9,355
52,4
7,995
44,8
376
2,1
133
Perceni dislribulion
,7
Under 18'
1,516
16,010
959
11,968
556
4.040
I
2
756
8,434
715
7,165
31
336
14
18 and ovtr'
75
Infant (under 1)
232
303
119
205
1,539
2,936
3,143
2,443
1,816
1,234
838
625
518
427
344
294
510
333
134
146
60
117
1,205
2.289
2,370
1,843
1,390
929
645
481
387
301
220
172
238
238
98
157
58
88
334
647
773
599
425
305
193
144
131
126
124
122
272
80
141
170
67
108
654
1,348
1,557
1,224
990
689
508
355
304
283
223
193
376
165
79
125
43
92
854
1.510
1.514
1.155
780
503
305
248
200
135
114
98
125
115
8
7
6
2
24
70
60
48
37
35
20
14
12
7
6
3
8
9
4
1
1 to 4
5 to 9
1
i
3
10 10 14
15 to 19
7
20 to 24
g
25 to 29
12
30 10 34
1
1
16
35 10 39
9
40 10 44
7
5
g
45 to 49
50 to 54
55 to 59
2
2
1
60 to 64
65 to 69
i's
70 to 74
75 and over
1
44
'Does not include unknown ages.
Data based on incidents involving one victim and one
ofFender showed that in 1987, 94 percent of the black
murder victims were slain by black offenders, and 88
percent of the white murder victims were killed by white
offenders. Likewise, males were most often slain by males
(84 percent in single victim/single offender situations).
These same data showed, however, that 9 of every 10 female
victims were murdered by males.
Victim/Offender Relationship by Race and Sex, 1987
(Single victim/single offender)
Victim
Total
victims/
ofFenders
Offender
Rf
ce
Sex
While
Black
Other
Unknown
Male
Female
Unknown
White
Race
5.268
4.719
195
46
4,605
285
52
15
571
4,410
25
10
32
9
115
1
40
15
3
20
4,659
3,875
168
23
569
829
24
3
40
Black
15
Other
3
Unknown
20
Male
Sex
7,431
2.751
46
3,418
1,524
15
3,851
1.155
10
125
51
1
37
21
20
6,215
2,487
23
1,179
243
3
37
Female
21
20
Totals
10,228
4,957
5.016
177
78
8,725
1,425
78
Firearms, as in previous years, were the weapons used in
approximately 3 of every 5 murders committed in the
United States. Of all murders, 44 percent were by handguns;
6 percent by shotguns; and 4 percent by rifles. Other or
unknown types of firearms accounted for another 5 percent
of the total murders.
Among the remaining weapons, cutting or stabbing
instruments were employed in 20 percent of the murders;
blunt objects (clubs, hammers, etc.) in 6 percent; and other
dangerous weapons, such as poison, explosives, etc., in 8
percent. Personal weapons (hands, fists, feet, etc.) were
employed in 7 percent.
Murder, Type of Weapons Used, 1987
[Percent distribution by region]
Murder Victims, Type of Weapons Used, 1983-1987
Weapon
Total
Region
Total
all
weapons'
Firearms
Cutting
or
stabbing
instru-
ments
Unknown
or other
danger-
ous wea-
pons
Personal
weapons
Total
100.0
59.1
20.3
14.1
6.5
Northeastern States
Midwestern States
Southern States
Western Stales
100.0
100.0
100.0
100.0
54.8
57.7
62.9
56.4
22.4
19.4
19.3
21.0
13.6
16.6
13.0
14.7
9.2
6.3
4.7
7.9
Total Firearms
Handguns
Rifles
Shotguns
Other guns
Firearms-not stated
Cutting or stabbing
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
1983
18,673
10,895
8,193
831
1,243
19
609
4,075
1,062
1,280
20
5
216
17
40
376
123
564
1984
17,260
10,175
7,557
785
1,194
19
620
3,653
1,007
1,134
6
8
196
20
47
322
113
579
1985
17,545
10,296
7,548
810
1,188
24
726
3,694
972
1.180
7
11
243
31
43
311
115
642
1986
19,257
11,381
8,460
788
1,296
22
815
3,957
1,099
1,310
14
16
230
23
49
341
160
677
1987
17,859
10,556
7,807
772
1,095
16
866
3,619
1,039
1,162
34
12
199
24
51
357
115
691
'Pushed is included in personal weapons.
'Because of rounding, percentages may not add to totals.
Murder Victims — Weapons Used, 1987
Total
Weapons
Age
Fire-
arms
Cutting or
stabbing
instruments
Blunt ob-
jects (clubs,
hammers,
etc.)
Personal'
weapons
(hands,
fists, feet,
etc.)
Poison
Explosives
Fire
Narcotics
Strangu-
lation
Asphyxia-
tion
Other
weapons or
weapons
not stated
Total
Percent
distribution
17,859
100.0
10,556
59.1
3,619
20.3
1,039
5.8
1,162
6.5
34
.2
12
,1
199
1.1
24
.1
357
2.0
115
.6
742
4.2
Under 18^
18 and over^
Infant (under I)
1 to 4
1,516
16,010
232
303
119
205
1,539
2,936
3,143
2,443
1,816
1.234
838
625
518
427
344
294
510
333
662
9,736
7
31
41
126
1,065
1,998
1,998
1,581
1,137
744
503
331
260
197
143
100
136
158
191
3,358
8
19
18
26
282
564
644
525
371
268
183
144
135
93
82
84
103
70
76
938
9
27
7
12
50
110
142
116
104
64
56
65
46
44
39
36
87
25
297
847
107
141
21
10
53
94
154
98
89
59
38
38
39
47
32
38
86
18
3
31
2
1
4
8
1
3
54
142
8
30
8
6
9
20
21
12
12
13
12
13
8
5
6
3
10
3
2
21
41
305
4
6
6
14
31
55
44
36
32
25
18
9
10
12
13
9
22
11
47
66
23
17
2
2
5
9
7
6
4
9
1
2
2
7
1
3
13
2
139
558
66
29
5 to 9
12
10 to 14
9
15 to 19
2
3
4
4
2
1
1
42
20 to 24
83
25 to 29
3
1
I
2
1
1
126
30 to 34
63
35 to 39
63
40 to 44
45 to 49
50 to 54
1
2
49
23
23
55 to 59
11
1
1
I
1
2
1
1
17
60 to 64
65 to 69
70 to 74
17
19
17
75 and over
Unknown
2
11
'Pushed is included in personal weapons.
'Does not include unknown ages.
10
Supporting the philosophy that murder is primarily a
societal problem over which law enforcement has little or no
control is the fact that nearly 3 of every 5 murder victims in
1987 were related to (17 percent) or acquainted with (40
percent) their assailants. Among all female murder victims
in 1987, 29 percent were slain by husbands or boyfriends.
Six percent of the male victims were killed by wives or
girlfriends.
Arguments resulted in 37 percent of the murders during
the year. Twenty 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. The table on the following
page shows murder circumstances for the past 5 years.
Murder Circumstances by Relationship, 1987
[Percent dislnbulion]
Viclim
Total
Felony
type
Suspected
felony type
Romantic
triangle
Argument
over money
or property
Other
arguments
Miscellaneous
non-felony
type
Unable to
determine
Tolal'
100.0
100.0
100.0
lOO.O
100.0
100.0
100.0
1000
2,7
5.2
.6
.9
1.3
1.7
I.I
.3
2.7
30.0
5.3
1.4
2.3
1.4
132
29.6
,3
.3
.3
,7
1.0
.3
.2
1.3
29.6
4.0
.2
.3
1.4
30.9
29.0
1.7
8.5
1.7
2.8
1.3
2.1
6.1
8.7
.8
1.5
.6
1.1
2.2
.3
4.4
41.3
7.4
3.4
4.6
2.0
9.2
6.4
2.5
9.5
1.3
1.4
5.0
6.2
.8
.5
3.4
32.9
6.0
1.0
2.5
1.5
14.0
11.6
7
Wife
1 8
4
Father
3
Daughter
5
Son
.6
3.8
.2
4.9
46.7
17.4
1.5
.4
3.6
7.2
5.7
3
Brother
.8
.6
1.4
51.5
11.8
2.8
6.3
.6
10.7
3.3
5
1
Other family
.5
10.9
3.5
.5
1.0
11 2
Fnend
1 5
2
9
Neighbor
4
11.4
73.3
4 8
Unknown relationship
75.5
'Because of rounding, percentages may not add to total.
Murder Circumstances by Weapons, 1987
Weapons
Total
Felony type
Suspected
felony type
Romantic
tnangle
Argument
over money
or property
Other
arguments
Miscellaneous
non-felony
type
Unable to
determine
Total
17,859
3,506
202
363
471
5,719
3,154
4,444
Firearms
Cutting or
stabbing instruments
Blum objects
(clubs, hammers, etc.)
Personal weapons
(hands, fists, feet, etc.)'
10,556
3,619
1,039
1,162
34
12
199
24
51
357
IIS
691
1,934
614
271
267
92
30
21
21
253
83
10
9
1
313
93
35
20
3,540
1,501
258
279
1
1
15
1
2
49
6
66
1,920
452
165
320
28
1
IS
8
28
59
52
106
2,504
846
279
246
4
Explosives
6
148
10
8
106
29
113
1
2
1
1
11
1
21
3
Fire
1
1
17
Narcotics
4
Drowning
12
3
3
2
4
126
Asphyxiation
25
Other weapons
or weapons not stated
3
378
'Pushed IS included in personal weapons.
11
Murder Circumstances, 1983-1987
[Percent distnbution]
1983
1984
1985
1986
1987
Total
18.673
100,0
17,260
100.0
17.545
100.0
19,257
100,0
17,859
100.0
Felony total:
18.0
10.6
2.0
1.6
.8
3.1
18.1
9.3
2.7
1.6
1.0
3.5
17.9
9.2
2.9
1.5
1.2
3.1
19,4
9,5
3,9
1,5
1,0
3.4
19.6
Robbery
9.4
4.9
Sex offenses
Arson
Other felony
.3
,9
4,1
Suspected felony
3.2
2.4
2,0
2.0
1,1
Argument total:
Romantic triangle
Property or money
Other arguments
39.6
2.6
2.8
34.1
39.8
2.4
2.7
34.8
39.3
2.3
2,7
34.3
37.5
2.1
2.4
32.9
36.7
2.0
2.6
32.0
Miscellaneous
non-felony types'
18.3
174
18.1
18,6
17,7
Unknown
20.9
22.3
22.8
22.5
24,9
'Because of rounding, percentages may not add to totals.
'Includes murders committed during brawls while offender was under the
influence of alcohol and/or narcotics.
Clearances
Murder continued to have a higher clearance rate than
any other Crime Index offense. Law enforcement agencies
nationwide, as well as in the cities, cleared 70 percent of the
murders occurring in their jurisdictions during 1987. Cities
under 10,000 in population reported the most successful
clearance rate, 76 percent. Seventy-five percent of murders
in rural counties and 68 percent of those in suburban
counties were cleared.
Regionally, the murder clearance rate was highest in the
Southern States, 72 percent. Following were the North-
eastern States and Midwestern States with 69 percent each
and the Western States with 68 percent.
Persons under 18 years of age were involved in murder
less often than in any other offense in 1987. They accounted
for 5 percent of the willful killings cleared by law
enforcement nationally, as well as in cities. Six percent of
the suburban county and 7 percent of the rural county
clearances involved only persons in this young-age group.
Persons Arrested
Murder arrests overall decreased 1 percent in 1987 from
the 1986 volume. Arrests of persons aged 18 and over
declined 1 percent, while those of younger persons increased
6 percent. During the same 2-year period, male arrests
decreased 1 percent and female arrests were up 1 percent.
Of all murder arrestees in 1987, 44 percent were under 25
years of age, with 10 percent of the total being 17 or
younger. The 18- to 24-year age group showed the greatest
involvement in this offense, accounting for 34 percent of the
total 1987 murder arrests.
Whites comprised 46 percent of the total arrestees for
murder in 1987. Blacks made up 52 percent, and the
remainder were of other races.
Long-term trends indicate the 1987 murder arrest total
was 3 percent below the 1983 level but 4 percent ab ve the
1978 figure.
12
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.
TPFMn
Year
1986
Number of offenses
91.459
Rate per 100.000
inhabitants
37.9
37.4
-1.3
1987
Percent change
91.111
- .4
13
Volume
During 1987, there were an estimated 91,111 forcible
rapes in the Nation. The rape total comprised 1 percent ot
the Crime Index offenses and 6 percent of the violent
crimes. Geographically, the Southern States, the region with
the largest population, accounted for 36 percent of the
forcible rapes reported to law enforcement. Following were
the Midwest with 24 percent, the West with 23 percent, and
the Northeast with 16 percent.
Monthly totals showed the greatest number of forcible
rapes were reported during the summer, with August
recording the highest frequency. The lowest total was
registered in February.
FORCIBLE RAPE BY MONTH. 1987
Variation From Annual Average
■ ■
-II
■ llll
1
1
i_,_iM,H,B|W|B,_
1
-e
I
■
-14
1
19
-12
Jan
Feb
Mar Apr May Jun Jul Aug Sep Ocl
No»
Dec
Forcible Rape by Month, 1983-1987
[Percent of annual total]
Months
January ...
February . .
March
April
May
June
July
August
September
October
November
December
1983
7.3
6.9
7.6
7.9
8.5
8.8
9.9
10.4
9.1
8.7
7.7
7.1
1984
7.1
7.1
7.6
7.7
8.6
8.9
9.9
10.2
9.1
9.0
7.2
7.5
1985
7.2
66
8.2
8.3
8.9
9.0
10.1
9.9
8.8
8.5
7.7
6.9
1986
7.1
6.7
7.9
8.1
8.8
9.2
9.8
10.2
9.1
8.4
7.8
7.0
1987
7.2
6.8
8.1
8.2
8.9
9.3
9.7
9.8
8.9
8.1
7.7
7.3
Trend
Compared to the previous year, the 1987 forcible rape
volume decreased less than 1 percent nationwide and in the
cities collectively. Rural counties recorded a decrease of 1
percent, while the suburban area agencies registered an
increase of 2 percent. City trends ranged from a 4-percent
decline to a 7-percent increase.
Among the geographic regions, the Northeastern States
recorded a 4-percent increase; the Midwestern States, a less
than 1 -percent rise; the Southern States, a 2-percent decline;
and the Western States, a 1 -percent drop.
National trends for 5 and 10 years show that the forcible
rape total rose 11 percent over 1983 and 21 percent above
1978.
FORCIBLE RAPE
Number of Offenses
Known Up 1 5%
Rate per 100,000
Inhabitants Up 11%
1987
Rate
By Uniform Crime Reporting definition, the victims of
forcible rape are always female. In 1987, an estimated 73 of
every 100,000 females in the country were reported rape
victims, a decrease of 1 percent from the 1986 rate. Since
1983, the female forcible rape rate has risen 11 percent.
Female forcible rape rates for 1987 showed there were 83
victims per 100,000 females in MS As, 47 per 100,000
females in cities outside metropolitan areas, and 36 per
100,000 females in rural counties.
Regionally, the highest female rape rate was in the
Western States, which recorded 83 victims per 100,000
females. Following were the Southern States with a rate of
76, the Midwestern States with 72, and the Northeastern
States with 57.
Nature
Of all reported forcible rapes during 1987, 81 percent
were rapes by force. The remainder were attempts or
assaults to commit forcible rape. An increase of less than 1
percent was registered in the number of rapes by force,
while attempts to commit rape decreased 2 percent from the
1986 figures.
Clearances
Nationwide in 1987, 53 percent of the forcible rapes
reported to law enforcement were cleared by arrest or
exceptional means. Rural county agencies cleared 57
percent of the offenses brought to their attention, while
suburban county agencies and those in cities cleared 54
percent and 52 percent, respectively.
Clearance rates for the regions ranged from 45 percent in
the Midwestern States to 57 percent in the Southern States.
In the Northeastern States, the clearance rate for forcible
rape was 56 percent, and in the Western States, it was 51
percent.
14
In the country as a whole, the Nation's cities, and the year period, 1983 to 1987, increases of 9 percent were
suburban counties, 9 percent of the forcible rape clearances recorded for the total forcible rape arrests, 8 percent for
involved only persons under the age of 18. Rural counties those of adults, and 15 percent for arrests of persons under
recorded a 13-percent involvement of this age group. 18 years of age.
Persons Arrested Qf ^^^ forcible rape arrestees in 1987, 45 percent were
From 1986 to 1987, forcible rape arrests decreased 2 persons under the age of 25, with 29 percent of the total
percent nationwide, as well as in the rural counties. Arrests being in the 18- to 24-year age group. Fifty percent of those
for this offense declined 5 percent in the suburban counties arrested were white, 48 percent were black, and all other
and were down 1 percent in the Nation's cities. For the 5- races comprised the remainder.
15
ROBBERY
DEFINITION
Robbery is the taking or attempting to take anything of value from the care, custody,
or control of a person or persons by force or threat of force or violence and/or by
putting the victim in fear.
TREND
Year Number of offenses
1986 542,775
1987 517,704
Percent change -4.6
Rate per 100,000
inhabitants
225.1
212.7
-5.5
16
Volume
Accounting for 4 percent of all Index crimes and 35
percent of violent crimes, the estimated robbery total in
1987 was 517,704. During the year, robberies occurred most
frequently in December and least often in April and May.
Regionally, the most populous Southern States registered
31 percent of all reported robberies. Following were the
Northeastern States with 28 percent, the Western States
with 21 percent, and the Midwestern States with 20 percent.
ROBBERY BY MONTH. 1987
Variation from Annual Average
■10 -10
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec_
Robbery by Month, 1983-1987
[Percent of annual total)
Months
January
February
March
April
May
June
July
August
September
October
November
December
1983
9.5
8.1
8.3
7.6
7.4
7.4
7.9
8.6
8.4
9.2
1984
8.9
8.2
8.1
7.6
7.6
7.5
7.9
8.5
8.2
9.0
8.6
9.9
1985
8.6
7.4
7.9
7,3
7.5
7.7
8.6
8.9
8.4
9.1
1986
8.7
7.7
8.2
7.6
7.7
8.0
8.4
9.3
8.6
8.7
8.3
9.0
1987
8.9
8.1
8.2
7.5
7.5
7.6
8.3
8.7
8,5
8.8
8.5
9.2
Trend
Downward trends in robbery were evident nationwide
and throughout all population groups in 1987. Nationally,
in cities, and in rural counties the decline was 5 percent.
while in the suburban counties, it was 4 percent. Of all
population groups, cities with populations of 500,000 to
999,999 registered the greatest decrease, 8 percent.
Two-year regional trends show the number of robberies
were down in all regions. The decreases were 9 percent in
the West; 4 percent in the Northeast; and 3 percent in both
the Midwest and South.
The accompanying chart depicts the trend in the robbery
volume, as well as the robbery rate, for the years 1983-1987.
In 1987, the number of robbery offenses was 2 percent
higher than in 1983 and 21 percent above the 1978 total.
ROBBERY
■*- Number of Offenses
Known Up 2%
-»- Rate per 100,000
Inhabitants Down 2%
1987
Rate
The national robbery rate in 1987 was 213 per 100,000
people, a decrease of 6 percent from the 1986 rate. In
metropolitan areas, the robbery rate was 269; in cities
outside metropolitan areas, it was 50; and in the rural areas,
it was 15. With 900 robberies per 100,000 inhabitants, the
highest rate was recorded in cities with populations over 1
million.
Robbery rates declined in all regions during 1987. The
Midwest's rate of 173 per 100,000 population was down 3
percent; the South's rate of 192 was 4 percent lower; the
Northeast's rate of 284 was down 5 percent; and the West's
rate of 223 represented an 11 -percent decrease.
17
Nature
In 1987, a total estimated national loss of $327 million
was due to robberies. The value of property stolen during
robberies averaged $631 per incident. Average dollar losses
ranged from $292 taken during robberies of convenience
stores to $3,013 per bank robbery. 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 (54 percent) of the offenses in
this category. Robberies of commercial and financial
establishments accounted for an additional 23 percent, and
those occurring at residences, 10 percent. The remainder
were miscellaneous types.
Robbery, Percent Distribution, 1987
[By population group]
Robbery, Percent Distribution,
[By region]
1987
United
States
Total
North-
eastern
States
Mid-
western
States
Southern
States
Western
States
Total'
100.0
100.0
100.0
100.0
100 0
Street/highway
Commercial house
Gas or service station
Convenience store
Residence
54.4
12.7
3.0
5.6
10.4
1.4
12.4
64.1
7.4
2.3
2.0
11.9
.8
11.5
57.0
10.1
3.7
3.8
10.4
.8
14.2
48.3
16.7
3.3
9.5
10.2
1.4
10.6
49.3
15.6
3.0
6.1
9 0
Bank
2 7
14 3
'Because of rounding, percentages may not add to totals.
Group I (59
cities. 250,000
and over;
population
43,180,000)
Group II (123
cities, 100,000 to
249,999; popula-
tion 18,007,000)
Group III (312
cities, 50,000 to
99,999; popula-
tion 21,268,000)
Group IV (654
cities, 25.000 to
49,999; popula-
tion 22,422,000)
Group V (1,606
cities, 10,000 to
24,999; popula-
tion 25,267,000)
Group VI (6,269
cities under
10,000; popula-
tion 22,484,000)
County
agencies
(4,126 agencies;
population
72,424,000)
Total'
100.0
100.0
100.0
100.0
100.0
100.0
100.0
Street/highway
Commercial house
61.2
10.0
2.0
3.7
10.6
.9
11.7
53.5
14.1
3.5
7.1
9.9
2.0
10.0
49.0
16.0
4.0
7.2
9.2
2.0
12.5
42.5
17.6
4.6
8.0
10.0
2.2
15.2
34.6
18.7
6.6
10.7
10.4
2.3
16.8
27.4
19.9
5.8
12.1
12.5
2.6
19.7
37.7
18.6
5 5
Convenience store
Residence
10.3
10 8
Bank
2 2
Miscellaneous
14 7
'Because of rounding, percentages may not add to totals.
Robbery by type for 1986-1987 showed bank robberies
were up 6 percent and convenience store robberies increased
1 percent. Decreases during this 2-year period were seen for
street/highway robberies, down 7 percent; both residential
and gas or service station robberies dropped 5 percent; and
robberies of commercial houses decreased 2 percent.
Forty-four percent of all robberies in 1987 were
committed through the use of strong-arm tactics. Firearms
were used in 33 percent, knives or cutting instruments in 13
percent, and other weapons in the remaining 10 percent. A
comparison of 1986 and 1987 robbery totals by weapon
showed those by firearms down 8 percent; those by knives
or cutting instruments down 5 percent; and both strong-
armed robberies and those by other dangerous weapons
down 3 percent.
Robbery, Type of Weapons Used, 1987
[Percent distribution by region]
Total
all
weapons'
Armed
Region
Fire-
arins
Knives or
cutting
instru-
ments
Other
weapons
Strong-
armed
Total
100.0
33.0
13.5
9.9
43.5
Northeastern Stales
Midwestern States
Southern States
Western Stales
100.0
100.0
100.0
100.0
25.3
32.6
39.7
33.8
17.0
10.9
11.6
14.2
12.0
10.9
8.8
8.1
45.6
45.7
40.0
43.8
'Because of rounding, percentages may not add to totals.
18
20
15
ROBBERY OF
COMMERCIAL HOUSE
UP 16%
A
^
-—
10
/
5
0
-5
19
y
83 1984 1985
1986
1987
1987
1986
1987
ROBBERY OF
CONVENIENCE STORE
DOWN .1%
1983
1984
1985
1986 1987
-1
\
/\
-2
• \
/ \
-3
\
/ \.
-4
\
/ \
-5
-6
-7
•
\
/
/ ROBBERY OF
RESIDENCE
-8
-9
■
V
DOWN 5%
6 1
BANK ROBBERY
^
4 ■
UP 6%
/
2 ■
n ■
/
-2 ■
"^
^
/
-4 •
/
-6-
1/
1983
1984 1985
1986
1987
19
Clearances
Twenty-seven percent of the robbery offenses reported to
law enforcement were cleared during 1987, The highest
robbery clearance rate — 37 percent — was registered by rural
law enforcement agencies. Suburban county agencies
cleared 28 percent and those in cities, 26 percent. Regional
robbery clearance percentages were 28 percent in both the
South and West, 26 percent in the Northeast, and 22
percent in the Midwest.
Nationally, as well as for city and suburban county law
enforcement agencies, persons under the age of 1 8 were the
offenders in 10 percent of all 1987 robbery clearances. This
age group accounted for 7 percent of the rural county
clearances.
Persons Arrested
Arrests for robbery declined 4 percent nationwide in 1987
when compared to 1986. Decreases were also experienced in
cities and the suburban counties, 3 and 16 percent,
respectively. The rural counties, however, showed an
increase of 7 percent in the number of persons arrested for
this offense.
Sixty-one percent of all robbery arrestees in 1987 were
under 25 years of age, and 92 percent were males. Sixty-
three percent of those arrested were black, 36 percent were
white, and the remainder were of other races.
The total number of robbery arrests decreased 4 percent
during the 5-year period, 1983-1987. For the same timespan,
arrests of males for robbery declined 5 percent, while female
arrests rose 6 percent. Juvenile arrests were down 19
percent, while those of persons 18 years of age and older
were up 2 percent.
20
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
1986 834.322
1987 855.088
Percent change +2.5
Rate per 100.000
inhabitants
346.1
351.3
+ 1.5
21
Volume
Totaling an estimated 855,088 offenses nationally,
aggravated assaults in 1987 occurred most frequently in the
summer months. Geographic distribution figures show that
36 percent of the aggravated assault volume was accounted
for by the Southern States, 26 percent by the Western States,
20 percent by the Midwestern States, and the remainder by
the Northeastern States.
AGGRAVATED ASSAULT BY MONTH, 1987
7 7
I
6
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Aggravated Assault by Month, 1983-1987
[Percent of annual total]
Months
January
February ...
March
April
May
June
July
August ..
September.
October
November
December
1983
7.7
7.1
7.9
8.1
8.9
8.9
9.8
9.7
8.9
8.S
7.4
7.3
1984
7.0
70
7.8
7.9
87
9.1
9.6
9.5
8.8
8.9
7.6
8.1
1985
7.0
6.8
8.2
8.2
8.8
9.0
9.5
9.5
8.9
8.8
7.9
7.4
1986
6.8
6.3
8.0
8.1
9.1
9.7
10.0
10.0
8.8
8.3
7.6
7.4
1987
7.3
7.0
7.8
8.1
8.9
8.9
9,5
9.5
8.7
8.5
7.9
7.8
Trend
In 1987, aggravated assault increased 2 percent
nationwide in volume as compared to 1986. For the 2-year
period, the trend in the geographic regions ranged from an
increase of 7 percent in the Northeastern States to a
decrease of 1 percent in the Midwestern States. While a
decrease of less than 1 percent was recorded in the Southern
States, an increase of 6 percent was reported in the Western
States.
By population grouping, cities with 1 million or more
inhabitants recorded the greatest rise in aggravated assaults
from 1986, 8 percent. Upswings of 3 percent in the cities
collectively and 1 percent in the suburban and rural counties
were registered for this offense during the same time period.
Five- and 10-year trends show aggravated assaults up 31
percent above the 1983 level and 50 percent over the 1978
experience.
AGGRAVATED
ASSAULT
■*- Number of Offenses
Known Up 31%
■»- Rate perl 00,000
Infiabitants Up 26%
1983
1984
1985
1986
1987
Rate
Up 2 percent above the 1986 rate, there were 351 reported
victims of aggravated assault for every 100,000 people
nationwide in 1987. Higher than the national average, the
rate in metropolitan areas was 400 per 100,000. Cities
outside metropolitan areas experienced a rate of 272 and
rural counties, a rate of 139.
Nationwide, the rate for aggravated assault showed
increases of 26 percent over 1983 and 34 percent over 1978.
Nature
In 1987, 32 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 25 percent of the
offenses; and knives or cutting instruments and firearms in
21 percent each.
A comparison of the 1986 and 1987 figures showed that
aggravated assaults by knives or cutting instruments
decreased 1 percent. A 2-percent increase was recorded in
aggravated assaults committed with firearms and blunt
objects or other dangerous weapons. Assaults where
personal weapons were used showed the greatest increase
during this 2-year period, 7 percent. The following table
shows the 1987 regional experience of aggravated assault by
type of weapon used.
22
Aggravated Assault, Type of Weapons Used, 1987
[Percent dislnbution by region]
Region
Total
all
weapons'
Fire-
arms
Knives or
cutting
instru-
ments
Other
weapons
(clubs.
blunt
objects,
etc.)
Personal
weapons
Tocal
100.0
21.4
21.4
31.8
25.4
Northeasiern Stales
100.0
100.0
100.0
100.0
14.9
24.4
25.5
17.7
25.3
22,7
23.4
15.5
34,7
34.2
31 5
28.7
25 1
18.7
19.5
Western Slates
38 1
'Because of rounding, percentages may not add to totals.
Clearances
During 1987, law enforcement agencies nationwide
cleared 59 percent of the aggravated assaults reported. The
cities collectively reported a 58-percent clearance rate while
the highest rate, 67 percent, was recorded by cities with
populations less than 10,000. Suburban and rural county
law enforcement agencies cleared 60 and 64 percent,
respectively.
Geographically, clearance percentages for aggravated
assault were 61 percent in the West, 60 percent in the South,
58 percent in the Northeast, and 54 percent in the Midwest.
Nine percent of the clearances reported by suburban
county agencies involved only persons under age 18.
Persons in this age group were identified as the assailants in
8 percent of the national and city clearances and 7 percent
of those in rural counties.
Persons Arrested
The estimated 352,450 persons arrested for aggravated
assault in 1987 represented 65 percent of all arrestees for
violent crimes. Whites comprised 58 percent of the
arrestees; blacks, 40 percent; and all other races, the
remainder. Eighty-seven percent of the arrestees were males
and 13 percent, females.
Total arrests for aggravated assault were up 4 percent in
1987 from the 1986 total. During this 2-year period, adult
arrests rose 4 percent and those of juveniles increased 3
percent. A comparison of 1983 and 1987 figures showed
total arrests for this offense up 22 percent; those of persons
under age 18, up 19 percent; and those of adults, up 23
percent.
23
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
1986 3.241,410
1987 3.236.184
Percent change - .2
Rate per 100.000
inhabitants
1.344.6
1.329.6
-1.1
24
Volume
Estimated at over 3.2 million in 1987, burglaries
accounted for 24 percent of all Crime Index offenses and 27
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 23 percent, the Midwestern
States with 20 percent, and the Northeastern States with 16
percent.
Like the previous year, more burglaries occurred in
August than any other month. The lowest number was
reported in April.
Burglary
Number of Offenses
Known Up 3%
Rate per 100.000
Inhabitants Down .6%
1987
BURGLARY BY MONTH, 1987
Variation from Annual Average
9
1
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Burglary by Month, 1983-1987
[Percent of annual total]
Months
January
February ...
March
Apnl
May
June
July
August
September .
October
November
December
1983
9.1
7.8
8,5
7.9
8.1
7.8
8.5
9.0
8.4
8.5
8.3
8.1
1984
8.3
7.9
8.0
7.8
8.0
7.8
8.7
8.9
8.3
8.8
8.4
9.0
1985
7.2
8.2
7.8
8.0
7.9
9.0
9.1
8.5
9.0
8.5
1986
8.4
7.5
8.3
7.9
8.1
8.1
8.9
9.0
8.5
8.4
8.1
1987
8.4
7.8
8.3
7.6
8.0
8.0
8.8
9.1
8.4
8.4
8.4
Trend
Nationwide, the burglary volume decreased less than 1
percent in 1987 from the 1986 total. Cities with populations
of 1 million or more showed the largest decline, 4 percent.
The rural counties registered a 2-percent increase and the
suburban counties, a I -percent rise.
Regionally, the Western and Northeastern States reported
decreases in burglaries, 7 and 1 percent, respectively.
Burglary rose 4 percent in the Southern States and 1 percent
in the Midwestern States.
Rate
A burglary rate of 1,330 per 100,000 inhabitants was
registered nationwide in 1987. The rate decreased 1 percent
from 1986 and was 7 percent below the 1978 rate. In 1987,
for every 100,000 in population, the rate was 1,485 in the
metropolitan areas, 1,042 in the cities outside metropolitan
areas, and 670 in the rural counties.
Regionally, the burglary rate was 1,565 in the Southern
States, 1,524 in the Western States, 1,088 in the Midwestern
States and 1,031 in the Northeastern States. A comparison
of 1986 and 1987 rates showed declines of 1 percent in the
Northeast and 9 percent in the West. The Midwest and
South both registered burglary rate increases, 1 and 3
percent, respectively.
Nature
Two of every 3 burglaries in 1987 were residential in
nature. Seventy percent of all burglaries involved forcible
entry, 21 percent were unlawful entries (without force), and
the remainder were forcible entry attempts. Considering
those offenses for which time of occurrence was reported, 52
percent occurred at night and 48 percent during the
daytime.
Burglary victims suffered losses estimated at $3.2 billion
in 1987, and the average dollar loss per burglary was $975.
The average loss for residential offenses was $1,004, while
for nonresidential property, it was $914.
Residential burglary showed virtually no change from
1986 to 1987; nonresidential offenses were down 1 percent
during the same period.
Clearances
In 1987, 14 percent of the burglaries brought to the
attention of law enforcement agencies across the country
were cleared. Geographically, a 15-percent clearance rate
was registered in the South. In the Northeast, the rate was
14 percent; in the West, 13 percent; and in the Midwest, it
was 1 1 percent.
25
1983 1984 1985 1986 1987
1 1
0-
-1.
[ ^
/ \
-2-
\
/
-3-
\
/ RESIDENCE
-4-
\
/ BURGLARY
-5-
\
1 NIGHTTIME
-6-
\
^ DOWN 2%
-yi ^-^
16 T
14 ■
12 •
10
8 ■
6 •
4
2 ;
1983
NONRESIDENCE
BURGLARY
DAYTIME
UP 16%
1984
1985
12 1
10-
RESIDENCE a
BURGLARY /
8-
DAYTIME /
6-
UP 12% /
4-
/
2-
0-
-2-
19
/
83 1984 1985 1986 1987
1986
1987
1983 1984 1985 1986
1987
-1 •
-2-
-3-
-4-
-5-
^__J
\
-6-
^^^^^ \.
-7-
}
^"""^ \^
-8-
^-^^ONRESIDENCE
\
-9-
-10-
-11 ■
^^ BURGLARY
NIGHTTIME
^2 DOWN 9%
26
Burglaries of unknown time of occurrence are not included.
Rural county law enforcement cleared 16 percent of the
burglaries in their jurisdictions. Those in the suburban
counties recorded a clearance rate of 15 percent, and
agencies in cities obtained clearances in 13 percent.
Adults were involved in 81 percent of all burglary
offenses cleared, and only young people under 18 years of
age were offenders in the remaining 19 percent. Similar to
the national experience, persons under age 18 accounted for
19 percent of the burglary clearances in cities. Suburban
county law enforcement agencies reported 20 percent of
their burglary clearances involved only juveniles, while
those in rural counties registered 23 percent. The highest
degree of juvenile involvement was recorded in the Nation's
smallest cities (under 10,000 population) where young
persons under 18 years of age comprised 27 percent of the
clearances.
Persons Arrested
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
443,400 arrests were made in 1987. Arrest trends between
1986 and 1987 show a 1 -percent decrease in total burglary
arrests. Adult arrests showed no change, while those of
persons under 18 years of age declined 4 percent. For the
same 2-year time period, total burglary arrests rose 1
percent in the rural counties, while in the cities and the
suburban counties, they showed decreases of 1 and 4
percent, respectively.
Ninety-two percent of the burglary arrestees during 1987
were males and 69 percent were under 25 years of age. Of
the total burglary arrestees, whites accounted for 67 percent,
blacks for 31 percent, and other races for the remainder.
27
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 offeree, 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.
TPFNn
Rate per 100.000
Year
Number of offenses
inhabitants
1986
7,257.153
3,0103
1987
7,499.851
3,081.3
Percent change
+ 3.3
+ 2.4
28
Volume
Larceny-theft offenses, estimated at 7,499,851 during
1987, comprised 56 percent of the Crime Index total and 62
percent of the property crimes. When viewed monthly,
larceny-thefts were recorded most often during August and
least frequently in February.
LARCENY-THEFT BY MONTH, 1987
Variation trom Annual Average
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Regionally, the most populous Southern States recorded
36 percent of the total. The Western States registered 24
percent; the Midwestern States, 23 percent; and the
Northeastern States, 17 percent.
Larceny-Theft by Month, 1983-1987
[Percent of annual total]
Months
Januai7....
February..
March
April
May
June
July
August ...
September
October ..
November
December
1983
8.1
7.4
8.4
8.1
8.4
8.5
8.9
9.4
8.4
8.6
8.0
7.7
1984
7.5
7.6
8.0
8.0
8.2
8.4
9.0
9.4
8.3
8.9
8.2
8.5
1985
7.4
7.0
8.2
8.1
8.4
8.5
9.3
9.5
8.4
8.9
8.2
8.1
1986
7.8
7.2
8.3
3.2
8.4
8.6
9.1
9.3
8.4
8.5
7.9
8.3
1987
7.6
7.5
8.3
8.0
8.2
8.5
9.1
9.2
8.4
8.6
8.1
8.4
Trend
Compared to 1986, the 1987 volume of larceny-thefts
increased 3 percent in the Nation, as well as in all cities
collectively. Suburban and rural counties also showed
increases, 4 and 2 percent, respectively.
Volume increases were recorded in the Southern States, 5
percent; in the Midwestern States, 4 percent; and in the
Northeastern States, 3 percent. The Western States
registered virtually no change.
The 5- and 10-year larceny trends for the Nation showed
a 12-percent increase over 1983 and a 25-percent rise over
1978 figures.
12 -
10 ■
8 ■
6 ■
4 ■
2 ■
0<
-2-
/
LARCENY-THEFT
/
/
^
/ ^
■•■ Number o( OHenses
Known Up 12%
//
■*■ Rate per 100,000
Inhabitants Up 7%
t/^
>
W/
/ ■
■
■
^
1983
1984
1985
1986
1987
Rate
The 1987 larceny-theft rate was 3,081 per 100,000 United
States inhabitants, 2 percent higher than in 1986. The 1987
rate was 7 percent above the 1983 level and 12 percent
higher than in 1978. The 1987 rate was 3,444 per 100,000
inhabitants of metropolitan areas; 3,303 per 100,000
population in cities outside metropolitan areas; and 943 per
100,000 people in the rural counties.
Regionally, the Southern States' larceny-theft rate
increased 4 percent over the 1986 level to 3,238 per 100,000
inhabitants. Both showing 3-percent rises, the rates were
2,889 in the Midwestern States and 2,544 in the
Northeastern States. The rate in the Western States dropped
2 percent from 3,662 in 1986 to 3,590 in 1987.
Nature
The average value of property stolen due to larceny-theft
during 1987 was $404, up from $400 in 1986. When the
average value was applied to the estimated number of
larceny-thefts, the loss to victims nationally was $3 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 26 percent of
the thefts reported to law enforcement during 1987 ranged
from $50 to $200, while 34 percent were over $200.
Losses of goods and property reported stolen as a result of
pocket-picking averaged $286; purse-snatching, S238; and
shoplifting, $96. Thefts from buildings resulted in an
average loss of $665; from motor vehicles, $434; and from
coin-operated machines, $128. The average value loss due to
thefts of motor vehicle accessories was $288 and for thefts of
bicycles, $172.
29
POCKET-PICKING
DOWN 1%
1985
1986
1987
35 1
30-
SHOPLIFTING
25-
UP 33%
^
20-
y
/
15-
y
10-
5-
1983
1984 1985
1986
1987
4-1
PURSE-SNATCHING
A
N
2 ■
n .
DOWN 1%
/
^
N.,
-2-
\
/
/
M
-4-
\
/
-6-
\
y
-8--
1983 1984 1985
1986
1987
25-1
THEFT FROM MOTOR
20-
VEHICLES
15-
UP 22%
^
10 ■
5-
n .
^
/
-5-
1983
1984 1985
1986
1987
1983 1984 1985 1986 1987
-2-
/
-4-
/
-6-
y^ THEFT OF
X MOTOR VEHICLE
-8-
^~~^~-^ ACCESSORIES
-10.
DOWN .2%
1983
1984
1985 1986 1987
O _
1.5-
1 ■
/
0.5-
0-
-0.5-
/
\
/
' THEFT FROM
-1 .
\
\,
/
BUILDINGS
-1.5-
-2
N
y
UP 2%
1983
n
1984 1985
1986
1987
-2-
\
/\
-A-
y^ \
-6-
^
-8-
-10-
THEFT OF BICYCLES
\
-12-
-14-
DOWN 13%
N
20 T
15-
10
THEFT FROM COIN
MACHINES
UP 18%
1984
1987
30
All Others
23
From Motor Vehicles
21
Motor Vehicle Accessories
17
L
a
r
From Buildings
15
e
n
^^H^^I^^I^^I^H^^HH
y
/
Shoplifting
^^^^^^^^^^H
15
T
^^^i^^^i^m^^^^i
h
e
f
t
Bicycles
Coin Machines
1
!•
1
I
Larceny Analysis
•1987
Pocket- Picking
1
percent
Purse-Snatching H 1
31
Thefts of motor vehicle parts, accessories, and contents
made up the largest portion of reported larcenies — 38
percent. Also contributing to the high volume of thefts were
those from buildings and shoplifting, each accounting for 1 5
percent; and bicycle thefts, accounting for 6 percent. The
remainder were distributed among pocket-picking, purse-
snatching, thefts from coin-operated machines, and all other
types of larceny-thefts. The accompanying table presents the
distribution of larceny-theft by type and geographic region.
Larceny Analy§I§ by Region, 1987
[Percent distribution by region]
United
Slates
total
North-
eastern
States
Mid-
western
States
Southern
States
Western
States
Total'
100.0
100.0
100,0
100.0
100.0
1.1
1.2
15.3
21.1
16.9
6.4
14.6
.9
22.6
3.6
2.2
12.2
20.7
18.5
6.2
19.1
.9
16.6
.8
1.2
12.8
19.0
16.2
6.7
18.8
.6
23.9
.4
1.0
16.1
19.2
18.6
5.7
11.1
I.I
26.7
.6
.8
18.2
From motor vehicles
(except accessories)
Motor vehicle
25.9
13.8
Bicycles
7.3
13.2
From coin-operated
.8
19.4
'Because of rounding, percentages may not add to totals.
Clearances
Twenty percent of the reported larceny-thefts were
cleared nationwide and in cities during 1987. The highest
clearance rate, 24 percent, was reported by law enforcement
agencies in cities from 10,000 to 24,999 in population. Those
in suburban counties recorded an 18-percent rate, and in
rural counties, 17 percent.
Regionally, law enforcement agencies in the West cleared
22 percent of the larceny offenses brought to their attention.
The clearance rates in the South, Midwest, and Northeast
were 19 percent.
Twenty-two percent of the national clearances for
larceny-theft involved only offenders under 1 8 years of age.
Twenty-three percent of the clearances in cities, 21 percent
of those in suburban counties, and 19 percent of those in
rural counties were accounted for by persons in this age
group.
Persons Arrested
Between 1986 and 1987, the total number of persons
arrested for larceny-theft increased 3 percent. Female
arrests for this offense were up 6 percent, and those of males
increased 2 percent. During this same period, adult arrests
rose 4 percent, while those of persons under 18 years of age
showed virtually no change.
Considering a longer timeframe, larceny-theft arrests
showed a 12-percent increase for the 5-year period, 1983-
1987. Juvenile arrests were up 6 percent, and those of adults
rose 14 percent. Male arrests increased 9 percent and female
arrests, 17 percent during this 5-year timespan.
Larceny-thefts not only comprised the largest portion of
Crime Index offenses reported to law enforcement, this
offense accounted for 55 percent of the arrests for Index
crimes and 70 percent of those for property crimes in 1987.
Forty-five percent of the larceny arrests were of persons
under 2 1 years of age, and 3 1 percent of the arrestees were
under 18. Females, who were arrested for this offense more
often than for any other in 1987, comprised 31 percent of all
larceny-theft arrestees.
Whites accounted for 66 percent of the total larceny-theft
arrests, blacks for 32 percent, and all other races for the
remainder.
32
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
Year Number of offenses
1986 1.224,137
1987 1.288,674
Percent change + 5.3
Rate per 100,000
inhabitants
507.8
529.4
+ 4.3
33
Volume
An estimated total of 1,288,674 thefts of motor vehicles
occurred in the United States during 1987. These offenses
comprised 1 1 percent of all property crimes. The regional
distribution of motor vehicle theft showed 3 1 percent of the
volume was in the Southern States, 25 percent in the
Northeastern States, 24 percent in the Western States, and
20 percent in the Midwestern States.
Motor vehicle theft figures by month showed that the
greatest number occurred in August, while the lowest was in
February.
MOTOFI VEHICLE THEFT BY MONTH, 1987
Variation (rom Annual Average
8
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Motor Vehicle Theft by Month, 1983-1987
[Percent of annual total]
Months
January
February .
March
April
May
June
July
August
September
October
November
December
1983
8.3
7,5
8-4
8.0
8.1
8.0
8.5
9.1
8.5
8.7
8.4
8.5
1984
8.0
77
8.0
7.8
8.0
8.0
8.8
9.1
8.7
8.9
8.5
8.6
1985
7.8
7.1
8.1
7.8
8.0
8.2
8.9
9.1
8.7
9.1
8.6
8.7
1986
7.9
7.1
8.1
7.8
8.0
8.2
8.9
9,5
8.7
9.0
8.5
8.3
1987
7.9
7.5
8.4
7.9
8.0
8.1
8.8
9.0
8.4
8.8
8.5
8.7
Trend
The number of motor vehicle thefts increased 5 percent
nationally, as well as in the cities, from 1986 to 1987. The
suburban counties and those cities with populations of
100,000 to 249,999 registered the largest increases, 9
percent. Rural counties showed an increase of 1 percent.
Geographically, three of the four regions experienced
motor vehicle theft increases. The increases were 10 percent
in the Western States, 7 percent in the Southern States, and
8 percent in the Northeastern States. A 5-percent decrease
was recorded in the Midwestern States.
The accompanying chart shows that the volume of motor
vehicle thefts in 1987 increased 28 percent over the 1983
volume.
MOTOR VEHICLE
THEFT
■*- Number of Offenses
Known Up 28%
■»- Rate per 100,000
Inhabitants Up 23%
0 ♦
1983
1984
1985
1986
1987
Rate
The 1987 national motor vehicle theft rate — 529 per
100,000 people — was 4 percent higher than the rate in 1986.
The rate was 23 percent higher than in 1983 and 15 percent
above the 1978 rate.
For every 100,000 inhabitants living in MS As, there were
646 motor vehicle thefts reported in 1987. The rate in cities
outside metropolitan areas (other cities) was 203 and in
rural counties, 110. As in previous years, the highest rates
were in the Nation's most heavily populated municipalities,
indicating that this offense is primarily a large-city problem.
Among the regions, the motor vehicle theft rates ranged
from 632 per 100,000 people in the Western States to 426 in
the Midwestern States. The Northeastern States' rate was
629 and the Southern States' rate, 483. From 1986 to 1987,
rate increases were registered in the Western States, 8
percent; the Northeastern States, 7 percent; and the
Southern States, 5 percent. The Midwestern States, the only
region to show a decrease, recorded a decline of 5 percent.
An estimated average of 1 of every 144 registered motor
vehicles was stolen nationwide during 1987. Regionally, this
rate was greatest in the Northeast where 1 of every 107
motor vehicles registered was stolen. The other three
regions reported lesser rates — 1 per 127 in the West, 1 per
164 in the South, and 1 per 181 in the Midwest.
Nature
During 1987, an estimated national loss of over $6 billion
was due to motor vehicle theft. At the time of theft, the
average value per vehicle stolen was $4,964.
Seventy-seven percent of all motor vehicles reported
stolen during the year were automobiles, 15 percent were
trucks or buses, and the remainder were other types.
34
Motor Vehicle Theft, 1987
[Percent distribution by region]
Region
Total'
Autos
Trucks
and
buses
Other
vehicles
Total
100.0
77.2
14b
8.2
Nonheastem Slates
Midweslem States
Southern States
Western States
100.0
100 0
100.0
100 0
91.3
8.1.2
73. 1
65.2
4.9
8.7
18.0
23.7
3.9
8.1
9.0
HI
'Because of rounding, percentages may not add to totals.
Clearances
Law enforcement agencies nationwide cleared 1 5 percent
of the motor vehicle thefts reported in their locales during
1987. Those in cities cleared 14 percent; those in suburban
counties cleared 19 percent; and rural county agencies
cleared 32 percent.
Regional clearance percentages for motor vehicle theft
were 10 percent in the Northeastern States, 15 percent in the
Midwestern States, 17 percent in the Western States, and 19
percent in the Southern States.
Persons in the under 18 age group accounted for 20
percent of the motor vehicle thefts cleared nationwide, in
cities, and in suburban counties. They comprised 21 percent
of the clearances in the rural counties.
Persons Arrested
During 1987, males accounted for 90 percent of the
persons arrested for motor vehicle theft. Sixty 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 was
accounted for by the younger segment of the population. In
1987, 58 percent of all persons arrested for this offense were
under 21 years of age, and those under age 18 comprised 40
percent of the total. Between 1986 and 1987, arrests of
males under age 1 8 rose 1 3 percent and those of females, 1 2
percent.
Total motor vehicle theft arrests were up 1 1 percent and
adult arrests rose 9 percent in 1987 over the previous year.
Overall arrests for this offense were 46 percent higher in
1987 than in 1983 and 12 percent above the 1978 level.
35
ARSON
DEFINITION
Arson is defined by the Uniform Crime Reporting Program as any willful or
malicious burning or attempt to bum, 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.
36
Volume
Rate
A total of 102,410 arson offenses was reported by 12,810
law enforcement agencies across the country; these agencies
furnished from 1 to 12 months of reports during 1987. Of
these reporting agencies, 12,649 provided the detailed
information — type of structure, estimated monetary value of
the property damaged, etc. — from which the tables on the
accompanying pages were tabulated. Further information
regarding arson offenses and trends is presented in Tables 6
through 13 and arson clearances in Tables 20 through 23.
Since only 8,507 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.
Trend
National, city, and suburban county arson counts
decreased 5 percent from 1986 to 1987. In the rural
counties, a greater decline of 9 percent was experienced.
Geographically, all regions recorded arson decreases in
1987. The declines were 8 percent in the Southern States, 5
percent in both the Northeastern and Western States, and
less than one-half of 1 percent in the Midwestern States.
By property type nationally, the number of arsons of
mobile property declined 6 percent, arsons of structures
dropped 5 percent, and those of all other property decreased
4 percent.
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.
Arson Rate, Population Group, 1987
[8.507 agencies; 1987 estimated population
Rale per 100.000 inhabitants]
181.658,000:
Group
Rate
Total
49.6
Total cities
57.1
Group I (cities 250,000 and over)
(cities 1.000.000 and over)
90.5
104.8
74.8
82.4
57.9
43.5
34.5
28.3
27.0
38.7
21.8
34.5
(cities 500.000 to 999,999)
(cities 250.000 to 499,999)
Group II (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)
Suburban counties
Rural counties
Suburban area
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 1987
rates are shown in the accompanying table.
The rates ranged from 105 per 100,000 inhabitants in
cities with populations over 1 million to 22 per 100,000 rural
county inhabitants. The suburban counties and all cities
collectively recorded rates of 39 and 57 per 100,000
inhabitants, respectively. Overall, the 1987 national arson
rate was 50 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 50 per
100,000, the Midwestern States with 49 per 100,000, and the
Southern States with 43 per 100,000 inhabitants.
Nature
As in previous years, structures were the most frequent
target of arsonists in 1987 and comprised 55 percent of the
reported incidents. Twenty-eight percent of the arsons were
directed at mobile property (motor vehicles, trailers, etc.),
while other types of property (crops, timber, etc.) accounted
for 17 percent.
Arson, Type of Property, 1987
[12,649 agencies; 1987 estimated population 196,173,000]
Property classification
Number
of
offenses
Percent
distribution'
Total
84,371
100.0
46,490
19,708
8,762
4,541
802
5,481
4.428
2,768
23,339
21,645
1,694
14.542
55.1
23.4
10.4
5.4
Industrial/manufacturing
1.0
6.5
5.2
3.3
27.7
25,7
Other mobile
Other
2.0
17.2
'Because of rounding, percentages may not add to totals.
Residential property was involved in 61 percent of the
structural arsons during the year, with 42 percent of such
offenses directed at single-occupancy dwellings. Eighteen
percent of all targeted structural property was either
uninhabited or abandoned at the time the arson occurred.
Motor vehicles comprised 93 percent of all mobile
property at which arsons were directed.
37
Arson, Structures Not in Use, 1987
[12.649 agencies; 1987 estimated population 196.173.000]
Type of structure
Total
Single occupancy residential
Other residential
Storage
Industrial/manufacturing
Other commercial
Community/public
Other structure
Number
of
offenses
46.490
19.708
8.762
4.541
802
5.481
4.428
2.768
Percent
not
in use
17.7
22.3
12.1
20.8
13.6
11.9
8.2
25.5
The monetary value of property damaged due to reported
arsons during 1987 totaled $907 million, and the average
loss per incident was $10,755. The overall average for all
types of structures was $17,550. While industrial/
manufacturing property showed the lowest number of
structural incidents, it registered the highest average loss —
$37,187. Mobile properties averaged $3,571 per incident,
and other targets averaged $561.
Arson, Monetary Value of Property Damaged, 1987
[12,649 agencies; 1987 estimated population 196.173.000]
Property classification
Number
of
offenses
Average
damage
Total
84,371
$10,755
46.490
19.708
8.762
4,541
802
5.481
4.428
2.768
23.339
21.645
1.694
14.542
17.550
Single occupancy residential
Other residential
Storage
Indust rial/manufacturing
12.427
12.481
15.054
37.187
32.619
Community/public
18.189
8.647
3.571
3.307
Other mobile
Other
6.944
561
Clearances
The national 1987 arson clearance rate was 16 percent.
Rural county agencies showed the highest rate, clearing 20
percent of the arson offenses brought to their attention.
Suburban county agencies cleared 18 percent and city
departments, 15 percent.
Regionally, the Southern States reported a clearance rate
of 20 percent; the Western States, 15 percent; and both the
Midwestern and Northeastern States, 13 percent.
Thirty-six percent of all 1987 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 35 percent of
structural arson clearances, 22 percent of the clearances for
arsons of mobile property, and 56 percent of those of all
other property.
Arson Offenses Cleared by Arrest,' 1987
[12.649 agencies'; 1987 estimated population 196,173,000]
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
84,371
46.490
19.708
8.762
4,541
802
5.481
4.428
2,768
23,339
21.645
1.694
14.542
Percent
cleared
by arrest
18.0
21.8
22.0
24.2
17.5
12.8
15.4
34.0
15.5
10.4
9.8
17.6
18.3
'Includes offenses cleared by exceptional means.
■The numtjer of agencies used in this table is lower than the number used in
Tables 20-23. To be included in this table, it was necessary that arson clearances be
reported by property classification.
By population grouping, juveniles were the offenders in
38 percent of the city arson clearances, 34 percent of those
in suburban counties, and 25 percent of those in the rural
counties.
The accompanying tables show clearance data only for
those 12,649 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 (34
percent) was recorded for offenses in which community or
public structures were involved, while the lowest rate (10
percent) was registered for motor vehicles.
Arson Offenses Cleared by Arrest' of Persons under 18 Years
of Age, 1987
[12.649 agencies-; 1987 estimated population 196,173,000]
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
'Includes offenses cleared by exceptional means.
■The number of agencies used in this table is lower than the number used in
Tables 20-23 To be included in this table, it was necessary that arson clearances be
reported by property classification.
38
Persons Arrested decreased 4 percent in the rural counties and 5 percent in
The estimated number of arrests for arson during l')87 '^'^' ^"hurban counties,
totaled 1 8.000. Forty percent of the arrestees were under 1 8 Arrests of persons under the age of 1 8 increased 1 percent
years of age and 63 percent were under 25. Males comprised from 1986 to 1987, while adult arrests showed a 5-percent
86 percent of all arson arrestees. Seventy-three percent of decrease nationwide. During the same period, male arrests
those arrested were white. 26 percent were black, and the for arson were down 3 percent and female arrests, down 1
remainder were of other races. percent.
Trends for 1986 versus 1987 show arson arrests down 2 The 1987 arson arrest total for all ages was 5 percent
percent nationwide and in all cities collectively. They below the 1983 level and 2 percent lower than in 1978.
39
CRIME INDEX TABULATIONS
This Section's tabular portions present data on crime in
the United States as a whole; geographic- divisions:
individual states; Metropolitan Statistical Areas; cities,
towns, and counties; and college and university campuses.
Also furnished in the following tables are national averages
for the value of property stolen in connection with Crime
Index offenses; further breakdowns by type for the robbery,
burglary, larceny-theft, and arson classifications; and data
on the type and value of property stolen and recovered.
Although the total number of crimes occurring
throughout the Nation is unknown, information on those
reported to law enforcement gives a reliable indication of
criminal activity. In reviewing the tables in this report, it
must be remembered, however, that many factors can cause
the volume and type of crime to vary from place to place.
Even though population, one of these factors, is used in
computing crime rates, all communities are affected to some
degree by seasonal or transient populations. Since counts of
current, permanent population are used in their
construction, crime rates do not account for short-term
population variables, such as an influx of day workers,
tourists, shoppers, etc. A further discussion of various
factors contributing to the amount of crime in a given area
is shown on page v of this publication.
National data can serve as a guide for the law
enforcement administrator in analyzing the local crime
count, as well as the performance of the jurisdiction's law
enforcement agency. The analysis, however, should not end
with a comparison based on data presented in this
publication. It is only through an appraisal of local
conditions that a clear picture of the community crime
problem or the effectiveness of the law enforcement
operation is possible.
Note
The collection of statistics on arson as a Crime Index
offense began in 1979. However, 1987 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 6 through 9.
Two-year arson trends are shown in Tables 10 through 13.
40
Crime Index Total
The Crime Index total rose 2 percent to 13.5 million
oflenses in l'?87. Five- and 10-year percent changes showed
the 1987 total was 12 percent above the 1983 level and 21
percent higher than in 1978.
From 1986 to 1987. overall violent crime showed virtually
no change. Among the violent crimes, only aggravated
assault increased, 2 percent. Robbery declined 5 percent:
murder, 3 percent; and forcible rape, less than 1 percent.
The number of property crimes increased 3 percent for
the 2-year period. Motor vehicle theft rose 5 percent, and
larceny-theft was up 3 percent. Burglary showed little
change.
Considering 5- and 10-year timeframes, the 1987 violent
and property crime totals each showed increases. Violent
crime was up 18 percent and property crime, 11 percent
over 1983 figures. A comparison of 1978 and 1987 figures
showed upswings of 37 percent for violent crime and 19
percent for property crime. National estimates of volume
and rate per 100,000 inhabitants for all Crime Index
offenses covering the past decade are set forth in Table 1,
"Index of Crime, United States, 1978-1987." Crime rates
relate the incidence of reported crime to population.
Table 2, "Index of Crime, United States, 1987," shows
current year estimates for MSAs, rural counties, and cities
and towns outside metropolitan areas (other cities). See
Appendix III for the definitions of these community types.
Table 1. — Index of Crime, United Slates, 1978-1987
Population'
Number of offenses:
l')78-:i8,05').000
107i5-:20,(W9.00O
l<>80-2:5,.U').264
|981-22''.146.CIOO
1982-231. 534,000
l')83-233.<)81,000
1984-2.36,158.000
1985-238.740,000
1986-241.077,000
1987-243.400,000
Percent change; number of offenses:
1987/1986
1987/1983
1987/1978 „
Rale per 100.000 inhabitants:
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
Percent change; rale per 100,000 inhabitants:
1987/1986
1987/1983
1987/1978
Crinu'
Index
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
■f2.2
-HI. 6
-^20,5
5,140,3
5.565.5
5.950.0
5.858
5.6036
5.175.0
5.031.3
5,207.1
5.480.4
5,550.0
-H.4
+13
+i 1
Modified
Crime
Index
total'
Violent
crime*
1.085.550
1.208.0.10
1.344.520
1.361.820
1.322.390
1.258.090
1.273.280
1.328.800
1,489.170
1,484,000
-.3
-H8.0
-I-36.7
497,8
548.9
5966
594 3
571 I
5377
539.2
556,6
617.7
609.7
-1-3
-H3.4
-1-22.5
Property
crime*
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
•I-2.6
-H0.8
-H8.8
4.642,5
5.016.6
5.353 3
5.2639
5.032 5
4.637 4
4.492 1
4.650 5
4.862,6
4.940.3
-H 6
+bi
+b-i
Murder
and non-
negligent
man-
slaughter
19,560
21,460
23,040
22,520
21,010
19.310
18.690
18,980
20,610
20,100
-2.5
-^4.1
-1-2.8
9.0
9.7
10.2
9.8
9.1
8.3
7.9
7.9
8.6
8,3
-3 5
Forcible
rape
67,610
76,390
82,990
82,500
78,770
78,920
84,230
88,670
91,460
91,110
-,4
-H5.4
-f34.8
310
34,7
36.8
36.0
34.0
33.7
35.7
37.1
379
37,4
-1 3
-mo
-I- 20.6
Rnbber>
426.930
480,700
565.840
592.910
553,1.30
506,570
485,010
497,870
542,780
517,700
-t.6
+2.1
+ H.i
195.8
218.4
251.1
258.7
238.9
216.5
205.4
208.5
225,1
212.7
-5,5
-1,8
-^8,6
Aggra-
vated
assault
571,460
629,480
672,650
663,900
669,480
653,290
685.350
723.250
834,320
855,090
-^25
■I- 30.9
-1-49.6
262.1
286.0
298.5
289.7
289.2
279.2
290.2
.302.9
346. 1
351.3
-H.5
■f25.8
-1-34.0
Burglary
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
-,2
-1-3.4
-1-34
1,434,6
1,511-9
1,684.1
1,6495
1.488,8
1,337.7
1.263,7
1,287,3
1,344,6
1,329,6
-1.1
-6
-7-3
Larceny-
ihefl
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
-1-3,3
-(■11,7
-1-25-2
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
-1-2.4
+ 1A
-H2.2
Motor
vehicle
theft
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
-1-5,3
-f27,9
-1-28,3
460.5
505.6
502.2
474.7
458.8
430.8
437- 1
462-0
507.8
529.4
-1-43
-f22.9
-H5.0
'Populations are Bureau of the Census provisional estimates as of July 1. except April 1. 1980. preliminary census counts, and are subject to change.
'Because of rounding, the offenses may not add to lotals.
'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
included for the property crime of arson.
All rates were calculated iin the offenses before rounding.
Provided in Table 3, "Index of Crime, Regional Offense
and Population Distribution, 1987," 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
1987, they also represented the greatest regional population.
41
Table 2. — Index of Crime, United States. 1987
Area
Populalioii'
Crime
Index
tola!
M.xJilli-d
Cnnif
Index
lolal'
Vi.ileni
crime'
Properly
crime'
Murder
and non-
negligent
man-
slaugtilcr
Forcible
rape
R(ibt)ery
Aggra-
vated
assault
Burglary
Larceny
Ihefl
Mouir
vehicle
Ihcfl
Arson'
United States Total
243,400,000
13,508,708
5,550.0
1,483,999
609.7
12,024,709
4.940.3
20,096
8.3
91,111
37.4
517,704
212.7
855,088
351.3
3,236,184
1,329 6
7,499,851
3,081.3
1,288,674
529.4
Rale per 100,000
inhabilanis
Metropolitan
186,637,562
98.1-7,
100.0%
11,613.326
11,747.875
6,294.5
1,0.19,689
1,114,517
4.898 5
592.456
646,316
1.900 4
1,333,808
1,-143,765
720.0
74,045
79.814
350.8
54,930
60,420
177.7
10,279,518
10,404,110
5,574.5
965,644
1.034,703
4,5477
537,526
585,896
1,722.8
17,028
17,132
9.2
960
1,032
45
1,720
1.932
5.7
78.454
79,264
425
5,161
5,541
24.4
5,846
6,306
18,5
499,116
501.347
268.6
10,499
11,357
499
4.572
5,000
147
739,210
746.022
3997
57,425
61,884
272.0
42.792
47,182
138.7
2.738,932
2,771,222
1.484.8
220,550
237,082
1,042.0
208.390
227,880
6701
6.346,964
6,427,814
3,444.0
702,052
751,440
3.302.7
294.997
320.597
942.7
1,193.622
1.205,074
645.7
43.042
46.181
203.0
34,139
37,419
110.0
Area actually reporting*
Estimated totals
Rate per 100,000
22,752,410
93.3%
100.0%
Area actually reporting''
Estimated totals
Rate per 100,000
Rural Counties
34,009,028
89.3%
100.0%
Area actually reporting*
Estimated totals
Rate per 100,000
inhabitants
'Populations are Bureau of the Census provisional estimates as of July I, 1987. and are subject lo 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.
*The percentage representing area actually reporting will not coincide with the ratio between reported and estimated crime totals, since these data represent the sum of the
calculations for individual slates which have varying populations, portions reporting, and crime rates
Table 3. — Index of Crime, Regional Offense and Population Distribution, 1987
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'
United States Total'
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
Northeastern States
Midwestern States
Southern Stales
Western States
20.7
24.5
-14.5
204
18.0
21.6
366
238
215
20.2
34.3
23.9
17.6
21.8
36.9
23.7
17.2
19.8
41.9
21.1
16.2
24.3
36.2
23.4
27.6
19.9
31.1
21.4
18.6
20.0
35.9
25.6
16.0
20.0
40.6
23.4
17.1
22.9
362
23.8
24.5
19.7
31.4
24.4
'Although arson data are mcluded in the trend and clearance tables. sufTicient data are not available lo estimate totals for this offense.
-Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-thefl, and molor vehicle theft. Data are
not included for the property crime of arson
'Because of rounding, percentages may not add to totals.
42
12
10 -^
0 Q
-2
Crime Index Total
••• Number of Offenses Known
Up 12%
•o- Rate per 100,000 Inhabitants
Up 7%
1983
1984
1985
1986
1987
43
Table 4. — Index of Crime: Region, Geographic Division, and State, 1986-1987
United Stales Total*
Percent change
Northeast
Percent change
New England
Percent change
Connecticut
Percent change
Maine
Percent change
Massachusetts
Percent change
New Hampshire
Percent change
Rhode Island
Percent change
Vermont
Percent change
Middle Atlantic
Percent change ...,
New Jersey
Percent change
New York
Percent change
Pennsylvania
Percent change
See footnotes at end of table.
Moclifiee
nd n.in-
Year
P.ipulali.in
Crime Index lolal 1
Index liilal-
negligent manslaughter
Number
Rule per
100.000
Number
Rale per
100.000
Number
Rate per
100.000
Number
Rale per
100.000
Number
Rate per
100.000
1986
241,077,000
13,211,869
5.480.4
1.489,169
617.7
11.722,70(
4,862.6
20,613
8.6
1987
243,400,000
13,508,708
5,550.0
1,483.999
609.7
12,024.70S
4,940.3
20,096
8,3
+2,2
+ 1.4
-.3
-1.3
+2,6
+ 1.6
-2.5
-3.5
1986
50,018,000
2,366,805
4.731.9
314,753
629.3
2,052,052
4,102.6
3.412
6,8
1987
50.278,000
2,432,912
4.838.9
319,482
635.4
2.113.430
4,203,5
3,450
6,9
+2.8
573.603
+2.3
4.503,4
+ 1,5
53,291
+ 1.0
418,4
+3.0
520.312
+2.5
4.085,0
+ 1,1
447
+ 1,5
WSb
12,737,000
3,5
1987
12.844,000
590.666
4.598.8
54.197
422,0
536.469
4.176,8
441
3,4
+ 3.0
+ 2,1
+ 1,7
+.9
+ 3,1
+2,2
-1-3
-2.9
1<)86
3,189,000
153.989
4.828,8
13.578
4258
140.411
4.403.0
148
4.6
im
3,211.000
160,413
4.995,7
13.455
419,0
146.958
4,576,7
156
4.9
+4.2
+ 3.5
-,9
-1,6
+4,7
+ 3,9
+ 5,4
+6.5
1986
1,174,000
40,635
3.461.2
1.726
147,0
38.909
3,314,2
23
2.0
1987
1,187.000
41,928
3.532,3
1.806
152,1
40.122
3,380,1
30
2,5
+ 3,2
+ 2,1
+46
+ 3,5
+ 3-1
+2,0
+ 30-4
+25.0
1986
5,832,000
275.465
4.723,3
32.476
5569
242,989
4,166.5
208
3.6
1987
5.855,000
277.165
4.733,8
33.060
564,6
244,105
4,169.2
173
3.0
+ .6
+ 2
+ 18
+ 1,4
+ .5
+ 1
-16,8
-16.7
1986
1.027.000
34.200
3.330.1
1.433
139,5
32,767
3.190.6
23
2,2
1987
1.057.000
35.639
3.371.7
1.581
1496
34,058
3.222, 1
32
3.0
+4.2
+ 1,2
+ 10,3
+ 7.2
+ 3.9
+ 1-0
+ 39.1
+36.4
1986
975.000
47.799
4.902,5
3.271
335-5
44.528
4.567.0
34
3.5
1987
986.000
52.115
5,285,5
3.547
359,7
48.568
4.925.8
"
3.5
+9.0
+ 7,8
+ 84
+ 7,2
+9,1
+ 7.9
+2,9
1986
541,000
21.515
3,976,9
807
149.2
20.708
3.827,7
11
2.0
1987
548,000
23,406
4,271,2
748
1365
22.658
4,134,7
15
2.7
+8.8
+ 7,4
-7,3
-8,5
+9.4
+ 8-0
+ 36,4
+ 35.0
1986
37.281.000
1,793,202
4.810,0
261.462
701,3
1.531.740
4,108.6
2,965
8.0
1987
37,433.000
1.842.246
4.921,4
265.285
708,7
1,576,961
4,212,8
3,009
8.0
+ 2,7
+2.3
+ 1,5
+ 11
+3,0
+2-5
+ 1.5
1986
7,620,000
399,387
5.241.3
43.623
572,5
355,764
4,668.8
399
5,2
1987
7,672,000
403.662
5.261,5
41.507
541.0
362.155
4.720.5
351
4.6
+ 11
+.4
^,9
-5,5
+ 1,8
+ 1.1
-12.0
-11.5
1986
17,772.000
1.025.037
5.767,7
175.210
985,9
849,827
4.781.8
1.907
10,7
1987
17.825.000
1.061.021
5.952,4
179,691
1.008,1
881,330
4.944.3
2.016
11.3
+ 3,5
+ 3.2
+ 2,6
+ 23
+3.7
+3.4
+ 5,7
+ 5,6
1986
11.889.000
368.778
3.101,8
42.629
3586
326.149
2.743.3
659
5,5
1987
11,936.000
377.563
.3.163,2
44.087
369.4
333.476
2.7939
642
5,4
+2,4
+ 2,0
+ 34
+ 3 0
+ 2,2
+ 1-8
-2,6
-1,8
44
Table 4. — Index of Crime: Region, Geographic Division, and State, 1986-1987
Korcihk- rape
R,.bher)
Aiti!r;i\ar
L-d .issiiuir
lllir
jiarx
l-areeri\-rllert
M..liir ve
uele Ihell
Arsiiii
Number
R.ile per
KXl.OOO
Number
RiUo per
1(X1,0(10
Nunibcr
Rale per
UX),000
Number
Race per
ino.ono
Number
Rale per
100,000
Number
Rale per
100,000
Number
Rale per
KX).000
91.459
37.9
542.775
225.1
834.322
346.1
3,241.410
1,344.6
7.257.153
3.010.3
1,224.137
507,8
91.111
37.4
517.704
212.7
855,088
351.3
3.236.184
1.329.6
7.499,851
3,081.3
1,288,674
529.4
-.4
-1.3
->.6
-5.5
+2.5
+ 1.5
-.2
-1.1
+3.3
+2.4
+5.3
+4.3
14,143
28.3
149.133
298.2
148.065
296.0
521.550
1.042.7
1.236,788
2.472.7
293,714
587.2
14.725
29.3
142.661
283.7
158.646
315.5
518,356
1,031.0
1.278,953
2.543.8
316.121
628.7
+4.1
+3.5
-».3
^.9
+7.1
+6.6
-.6
-1.1
+3.4
+2.9
+7.6
+7.1
yi\i
25.2
19.215
150 9
30.416
238.8
135.583
1,064 5
305.488
2.3984
79,241
622 1
.1.4'!')
27.2
17.8.37
138,9
32,420
2524
137,961
1,074 1
314,253
2,446,7
84,255
656.0
+ 8.9
+ 7.9
-7.2
-8-0
+6.6
+ 5 7
+ 1.8
+ .9
+ 2.9
+ 2.0
+6.3
+ 54
760
23.8
6.129
192.2
6,541
205 1
38,190
1,197.6
87,963
2,758.3
14,258
447-1
800
24.9
5.720
178.1
6,779
211.1
39,120
1,218,3
90,852
2.829.4
16,986
529.0
+ 5J
+4.6
-6.7
-7.3
+3.6
+2.9
+ 2,4
+ 17
+ 3.3
+2.6
+ 19.1
+ 18.3
P4
14.8
328
27.9
1.201
102.3
9,433
803,5
27,548
2,346.5
1,928
164.2
186
157
304
25.6
1.286
108,3
9,148
770.7
28,916
2.436. 1
2.058
173.4
+6.9
+6 1
-7 3
-8.2
+ 7.1
+5.9
-3.0
-4.1
+ 5.0
+ 3.8
+6.7
+ 5.6
I.7.M
217
11,2-19
192-7
19.298
3-30.9
62,455
1,0709
127,668
2,1891
52.866
906.5
1.868
31.9
10,379
177.3
20,640
352.5
62,056
1,059.9
127,939
2,185.1
54.110
924.2
+ 7.9
+7.4
-77
-8.0
+7.0
+6.5
-.6
-1.0
+ .2
-.2
+2.4
+2.0
221
21 5
242
23.6
947
92.2
7,754
755.0
22.675
2,207.9
2.338
227.7
281
26.6
280
26.5
988
93.5
7,344
694.8
24.426
2,310.9
2,288
2165
+ 27.1
+23.7
+ 15.7
+ 12.3
+4.3
+ 1.4
-5.3
-8.0
+7.7
+4.7
-2.1
^.9
209
21.4
1.157
118.7
1.871
191.9
12,616
1,293.9
25,041
2,568.3
6,871
704.7
241
24.4
1,062
107.7
2.209
224.0
14,208
1,441.0
26,635
2,701.3
7,725
783.5
+ 15.3
+ 140
-8.2
-9.3
+ 18.1
+ 16.7
+ 12.6
+ 114
+6.4
+ 5.2
+ 12.4
+ 11.2
118
21 8
120
22.2
558
1031
5,135
949.2
14,593
2,697.4
980
181.1
123
22.4
92
16.8
518
94.5
6,085
1,110.4
15.485
2,825.7
1,088
198,5
+4.2
+2.8
-23.3
-24.3
-7.2
-8.3
+ 18.5
+ 17.0
+6.1
+4,8
+ 11.0
+9.6
10.930
29.3
129.918
348.5
117.649
315 6
385,967
1,035 3
931,300
2,498,1
214,473
575.3
11.226
30.0
124,824
333.5
126.226
337.2
380,395
1,016.2
964,700
2,577,1
231,866
619,4
+ 2.7
+ 2.4
-3.9
-4.3
+ 7.3
+6.8
-1,4
-1.8
+ 3,6
+ 3.2
+8.1
+ 7.7
2.531
33.2
20.473
268.7
20.220
265,4
81.595
1,070.8
215,073
2.822,5
59.096
775.5
2.559
33.4
17.862
232.8
20.735
270.3
77,392
1,008 8
219,906
2,866.3
64.857
845.4
+ 1.1
+ .6
-12,8
-13.4
+2.5
+ 1.8
-5,2
-5.8
+2.2
+ 1.6
+9.7
+9.0
5.415
30,5
91,360
514.1
76,528
430.6
217,010
1.221.1
519.570
2,923.5
113,247
637.2
5,537
31.1
89,721
503.3
82,417
462.4
216,826
1.216.4
539.175
3,024.8
125,329
703.1
+2.3
+2.0
-1.8
-2.1
+7.7
+ 7.4
-.1
-.4
+ 3.8
+3.5
+ 107
+ 10.3
2,984
25.1
18,085
152.1
20,901
175.8
87,362
734.8
196,657
1,654,1
42,1.30
354.4
3.130
26.2
17,241
144.4
23,074
193.3
86,177
722,0
205,619
1.722.7
41,680
349.2
+4 9
+44
.^.7
-5.1
+ 10.4
+ 1O0
-14
-1.7
+4.6
+4.1
-1.1
-15
45
Table 4. — Index of Crime: Region, Geographic Division, and State, 1986-1987 — Continued
i'tipulatinii'
Cnnjc Index lolal
Rare per
100.000
Modilled Crime
Index lolal'
Rale per
100.000
Rale per
lOO.OOO
Properts crime
Rale per
100.000
Murder and non-
negligenl manslaughter
Rale per
100.000
Midwest*
Percent change .
East North Central'
Percent change
Illinois'
Percent change
Indiana
Percent change
Michigan
Percent change
Ohio
Percent change
Wisconsin
Percent change
West North Central
Percent change
Iowa
Percent change
Kansas
Percent change
Minnesota
Percent change
Missouri
Percent change
Nebraska
Percent change
North Dakota
Percent change
South Dakota
Percent change
See footnotes at end of table.
1986
1987
59,315.000
59,538,000
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
1986
1987
41.738.000
41.904.000
11.55.1.000
11.582.000
5.504.000
5.5.11.000
9.145,000
9.200.000
10.752.000
10.784.000
4.785.000
4.807.000
867,406
921,901
+ 1.9
112.257
.14.V057
+ 1,5
641.765
627..142
-2,2
212.170
227.864
+7.4
593.644
594.026
+ 1
468.647
493.400
+ 53
196.031
200.425
+2,2
4,834.2
4,907.6
+ 1.5
5.060,8
5.114,2
+ 11
5.555,0
5.416,5
-2,5
3.854,8
4.119,8
+6,9
6.491,5
6.456,8
-.5
4.358,7
4.575,3
+ 5.0
4.096.8
4.169.4
+ 1.8
17.577.000
17,634.000
2.851.000
2.834.000
2.461.000
2.476.000
4.214.000
4.246.000
5.066.000
5.103.000
1.598.000
1.594.000
679.000
672.000
708.000
709.000
755.149
778.844
+ 3.1
118.336
117,334
-.8
118.683
121.420
+2.3
183.823
195.986
+6,6
235.773
240.222
+ 19
61.614
65.857
+6,9
17.691
19.038
+ 7,6
19,229
18.987
-1 3
4.2962
4.4167
+ 2,8
4.1507
4.140,2
-,3
4.822,6
4.9039
+ 1,7
4.362,2
4.615.8
+5.8
4.654.0
4.707.5
+ 1.1
3.8557
4.131.6
+7.2
2.605.4
2.833.0
+ 8.7
2.716.0
2.678.0
-1,4
304,014
300,237
-1.2
241.507
239.607
-8
93.454
92.216
-1,3
16.937
18.169
+ 7 3
73.517
71.772
-2.4
45.260
45.436
+ .4
12,339
12,014
-2.6
512.5
504.3
-1.6
578.6
571.8
-1.2
808.9
796.2
-1.6
307.7
328.5
+6,8
803.9
780.1
-3.0
420.9
421.3
+ 1
257.9
249.9
-3.1
2,563,392
2,621.664
+2.3
1.870.750
1.903.450
+ 1.7
548.311
535.126
-2.4
195.233
209,695
+ 7.4
520,127
522.254
+ .4
423.387
447.964
+ 5.8
183.692
188.411
+2.6
4,321.7
4,403.3
+ 1.9
4.482.1
4.542.4
+ 13
4,746.0
4,6203
-2.6
3.547,1
3.791,3
+6,9
5.687,6
5.676,7
-.2
3.937,8
4.154,0
+ 5,5
3.838,9
3.919,5
+2,1
62.507
60.630
-3,0
6.703
6.553
-2,2
9.076
8.932
-1,6
11.991
12.118
+ 11
29.310
27.792
-5,2
4.196
4,004
^.6
348
382
+98
883
849
-3,9
355.6
343.8
-3.3
235.1
231.2
-17
368.8
3607
-2,2
284.6
285.4
+ .3
578,6
544,6
-5.9
262.6
251.2
^.3
51.3
56.8
+ 10.7
124.7
119.7
^.0
692.642
718.214
+ 3.7
111.633
110.781
-.8
109,607
112,488
+ 2,6
171,832
183,868
+ 7.0
206,463
212,430
+ 2.9
57.418
61,853
+7,7
17.343
18,656
+7.6
18,346
18.138
-1.1
3.940.6
4.072.9
+ 3.4
3.915.6
3.909.0
-.2
4.453.8
4.543.1
+ 2.0
4.077 6
4.330.4
+6.2
4.075.5
4.162.8
+2.1
3.593.1
3.8804
+8.0
2.554.2
2.776.2
+8.7
2,591.2
2,558.3
-1.3
3,941
3,978
+.9
3.128
3.196
+ 2.2
1.023
967
-5.5
329
307
-6.7
1.032
1.124
+8.9
595
6.10
+ 5.9
149
168
+ 128
813
782
-3.8
51
59
+ 15.7
108
110
+ 1.9
105
112
+67
464
423
-8.8
50
55
+ 1O0
7
10
+42.9
28
13
-536
6.6
6.7
+ 1.5
7.5
7.6
+ 1.3
8.9
8.3
-67
6.0
5.6
-6.7
11.3
12.2
+8.0
5.5
5.8
+5.5
3.1
3.5
+ 12.9
4.6
4.4
^.3
18
2,1
+ 16.7
4.4
4.4
2.5
26
+4.0
9.2
8.3
-9.8
3.1
3.5
+ 12.9
1.0
1.5
+50.0
40
1.8
-55.0
46
Table 4. -
-Index of Crime: Region, Geographic Division, and State, 1986-1987 — Continued
Portih
c rapt
Robherv
Ajgrawil
•J assault
l)urglar>
1 areeiis-lhefl
Muiitr ve
tiiele Ihefl
Arson'
Number
R.ile per
100.000
Nil ni her
Rule per
lOO.OOO
Number
Rale per
100,000
Number
Rale per
100,00(1
Number
Rale per
IOO,(XX)
Number
Rale per
100,000
Number
Rate per
100,000
22,049
J7.2
105.910
178.6
172.114
290,2
641,673
1.081,8
1.655.942
2,791,8
265.777
448.1
22.106
37.1
103,128
173.2
171.025
287.3
647.839
1,088,1
1.720,150
2,889,2
253,675
426.1
*.3
-.3
-2.6
-3.0
-.6
-1.0
+ 1.0
+.6
+3.9
+3,5
^.6
^.9
17.468
41 »
88.853
212 9
132,058
316 4
466,824
1.1185
1,187,578
2,845 3
216,348
518.3
I7.4«5
41 8
86.452
206 3
1.12,464
316.1
471,194
1.124 5
1,227,835
2,9.10 1
204,421
487,8
+ 2
- 2
-2.7
-3 1
+ .3
- 1
+ .9
+ 5
+ 3 4
+ 3 0
-5 5
-5.9
4.765
41.2
37.583
325 3
50.083
4335
136,306
1.179.8
3.19,418
2,937.9
72,587
628.3
4.44.1
38.4
36.406
314.3
50,400
435.2
130,147
1.123.7
342,492
2,957 1
62.487
5.19.5
-6.8
-6.8
-3.1
-34
+ .6
+ .4
^,5
^,8
+ 9
+ 7
-13 9
-141
1.4:4
25.9
4.954
900
10,230
185.9
48,802
8867
128,404
2,332.9
18,027
3275
l.bCW
29 1
4.901
88 6
11,352
205.2
52,363
946 7
137,722
2,490.0
19,610
354 5
+ 1.V0
+ 124
-1.1
-16
+ 11.0
+ 104
+7-3
+68
+ 7.3
+6.7
+8.8
+8.2
6.167
67.4
27.550
.101 3
38.768
423.9
138,040
1.509.5
308.894
3,377.7
73,193
800.4
6,IS4
67.2
25,442
2765
39,022
424.2
133,602
1.452.2
319,470
3,472.5
69,182
752,0
+ 3
-3
-7.7
-8.2
+ .7
+ .1
-3,2
-3.8
+ 3,4
+ 2,8
-5.5
-6.0
4.151
38.6
15.283
142 1
25,231
234.7
106,212
987.8
276,779
2.574.2
40,396
375,7
4.305
.199
16.511
153.1
23,990
222.5
114,580
1,062.5
292.093
2.708.6
41,291
382.9
+.V7
+ 3.4
+ 80
+ 77
^.9
-5.2
+ 7.9
+ 76
+ 5 5
+ 52
+2,2
+ 1,9
%!
20 1
3,483
72.8
7,746
161 9
37,464
782,9
134,083
2.802 2
12,145
253-8
054
198
3,192
66,4
7,700
160.2
40,502
842.6
136,058
2.8304
11.851
246.5
- 7
-1 5
-8.4
-8.8
-.6
-1.1
+ 8.1
+ 7.6
+ 1 5
+ 10
-2,4
-2.9
4.581
26.1
17,057
97.0
40,056
227.9
174,849
9948
468,364
2,664.6
49,429
281.2
4.611
26.1
16.676
94.6
38,561
218.7
176,645
1,001.7
492.315
2,791.9
49,254
279.3
+ .7
-2.2
-2.5
-3.7
^.0
+ 1,0
+ .7
+ 5.1
+4,8
-.4
-.7
356
12.5
1,197
420
5,099
178.8
27,255
956.0
79,864
2,801.3
4,514
158.3
337
119
1,025
36.2
5,132
181.1
26,010
917.8
80,489
2,840.1
4.282
151.1
-5.3
-4.8
-14.4
-138
+ 6
+ 1-3
^-6
-to
+ .8
+ 1.4
-51
^.5
810
32.9
1,958
79.6
6.200
251-9
29,229
1,1877
74,029
3,008.1
6.349
258.0
808
326
2,032
82.1
5,982
241-6
28,177
1,138.0
78.043
3,152.0
6.268
253,2
-.2
-.9
+ 3 8
+ 3.1
-35
^-1
-3-6
^.2
+ 5.4
+4.8
-1,3
-1.9
1.338
31.8
4,299
102.0
6,249
148 3
42,319
1,004.2
117,371
2,785.3
12,142
288.1
1.439
33.9
4,354
102.5
6,213
1463
45,384
1,068,9
125.686
2.960. 1
12.798
301.4
+7.5
+6.6
+ 1.3
+ .5
-.6
-1.3
+ 7-2
+64
+7.1
+6.3
+ 5.4
+4.6
1.480
29.2
8.624
170.2
18,742
370.0
57,556
1,136.1
126,674
2,500.5
22,233
438,9
1.473
28.9
8.376
164 1
17,520
343-3
56,711
1,111.3
133.964
2,625.2
21,755
426,3
-.5
-1.0
-2.9
-3.6
-6.5
-7-2
-1-5
-2.2
+ 5.8
+ 5.0
-2.1
-2,9
393
24.6
817
51 1
2,9.16
1837
11,956
748.2
42,784
2,677.3
2,678
167.6
345
21 6
751
47 1
2,853
179-0
13.516
847.9
45,692
2,866.5
2,645
165.9
-12-2
-12.2
-8.1
-7 8
-2.8
-26
+ 13.0
+ 13 3
+68
+ 71
-1.2
-1.0
79
11.6
47
6-9
215
31 7
2.615
385.1
13,914
2,049.2
814
119,9
63
9.4
51
7,6
258
38,4
3.060
455.4
14,768
2,197.6
828
123,2
-20.3
-19.0
+8.5
+ 10 1
+20.0
+21.1
+ 17.0
+ 18.3
+6.1
+ 7.2
+ 1.7
+2,8
125
17.7
115
16.2
615
86.9
3.919
553.5
13,728
1,9390
699
98,7
146
20.6
87
12.3
603
85.0
3.787
534.1
13,673
1,928.5
678
95-6
+ 16.8
+ 16.4
-24.3
-24,1
-20
-22
-3.4
-3.5
-.4
-.5
-3.0
-3-1
47
Table 4. — Index of Crime; Region,
Geographic Division, and State, 1986-1987— Continued
Year
Pdpublioii'
Crime Index lolal
Modified Crime
Index lolal-
Viiileiil
crime
Prnpertj
crime'
Murder j
negligent m
nd non-
jnslaughler
Area
Number
Rale per
100.000
Numher
Rale per
100.000
Number
Rale per
100.000
Number
Rale per
100.000
Number
Rate per
100.000
South
1986
1987
82,985,000
83,884,000
4,737,997
4,943,277
5,709.5
5,893.0
516,005
509,260
621.8
607.1
4.221,992
4,434,017
5,087.7
5,285,9
8,760
8,420
iO.6
lO.O
Percent change
+4.3
2.342.072
+3.2
5.7241
-1.3
279.966
-2.4
684,2
+5.0
2.062.106
+3.9
5.0399
-3.9
4.014
-5,7
South Atlantic
1986
40,916.000
98
1987
41.684.000
2.465.814
5.915,5
280.477
672.9
2.185.337
5.2426
4166
10.0
Percent change
+ 5.3
+ 3,3
+ 2
-1,7
+6,0
+4,0
+ 3,8
+2,0
Delaware
1986
633.000
30.584
4.831,6
2.703
427,0
27.881
4.404,6
31
4.9
1987
644.000
31,806
4.938,8
2.774
430,7
29.032
4.508,1
33
5.1
Percent change
+40
+ 2,2
+ 2,6
+ 9
+4,1
+ 2,3
+ 6,5
+41
District of Columbia*
1986
626.000
52.204
8.339,3
9.423
1.505,3
42.781
6.834,0
194
31.0
1987
622,000
52.569
8.451,6
10.016
1.610,3
42.553
6.841,3
225
362
Percent change
+ ,7
960.664
1.022.335
+ 1,3
8.228,4
8.503,2
+ 6,3
121.013
123.168
+ 7,0
1.036,5
1.024,4
-.5
839.651
899.167
+ ,1
7.191,9
7.478,7
+ 16,0
1.371
1.371
+ 16.8
Florida
1986
1987
11,675,000
12.023.000
11.7
11,4
Percent change
+64
+3,3
+ 1,8
-1,2
+ 7,1
+4,0
-2.6
Georgia
1986
6.104.000
332.999
5.455,4
35.869
587,6
297.130
4.867,8
686
11.2
1987
6.222.000
360.379
5.792,0
35.868
576,5
324.511
5.215,5
735
11.8
Percent change
+ 8,2
+6,2
-1,9
+9,2
+ 7 1
+ 7 1
+5.4
Maryland
1986
4.463,000
250.008
5.601,8
37.177
833,0
212.831
4.768,8
401
9.0
1987
4.535.000
248.409
5.477,6
34.820
767,8
213.589
4.709,8
436
9.6
Percent change
-6
-2,2
-6,3
-7.8
+ .4
-1,2
+8,7
+6,7
North Carolina
1986
1987
6.331.000
6.413.000
274.249
298.196
4331,8
4.649,9
30.128
31.039
475.9
484.0
244.121
267.157
3.856,0
4165,9
515
519
8.1
8.1
Percent change
South Carolina
+ 8,7
+7,3
+3.0
+ 1.7
+9.4
+8,0
+ ,8
1986
3.378.000
173.541
5.137,4
22.789
674,6
150.752
4.462.8
291
8.6
1987
3.425.000
176.794
5.161,9
22.773
664,9
154.021
4.497.0
318
9.3
Percent change
+ 1,9
+ ,5
-1
-1,4
+2,2
+.8
+93
+8,1
Virginia
1986
5.787.000
223,366
3.859.8
17.708
306,0
205.658
3,553.8
411
7,1
1987
5.904.000
233.768
3.959,5
17.414
295,0
216.354
3,664.5
437
7,4
Percent change
+4,7
+2,6
-17
-3,6
+ 5,2
+ 3,1
+6.3
+4,2
West Virginia
1986
1.919.000
44.457
2.3167
3.156
164 5
41.301
2.152,2
114
5,9
1987
1.897.000
41.558
2.190.7
2.605
137,3
38.953
2,0534
92
4,8
Percent change
-6,5
-5,4
-17,5
-16,5
-5.7
^,6
-19,3
-18,6
East South Central
1986
1987
15.209.000
15,290.000
594.672
620.403
3.910,0
4.057,6
68.198
68,403
448.4
447.4
526.474
552.000
3,461,6
3.610,2
1.453
1.373
9,6
9,0
Percent change
+4,3
+ 3,8
+.3
-.2
+48
+4,3
-5,5
-6,3
Alabama
1986
4.053.000
173.807
4.288,4
22,616
558,0
151.191
3,730,3
409
10,1
1987
4.083,000
181.751
4.451,4
22,833
559,2
158.918
3,892,2
380
9.3
Percent change
+4,6
+ 3,8
+ 1-0
+ .2
+ 5.1
+43
-7,1
-7.9
Kentucky
1986
3.728.000
115.277
3.092,2
12.467
3344
102.810
2.757,8
248
6,7
1987
3.727.000
121.873
3.270,0
12.589
337,8
109.284
2.932 2
280
7,5
Percent change
+ 5,7
+ 5,7
+ 1,0
+ 1,0
+6,3
+63
+ 12,9
+ 11,9
Mississippi
1986
2.625.000
87,808
3.345,1
7.196
274,1
80.612
3.070,9
295
11.2
1987
2.625,000
90,263
3.438,6
7.081
269,8
83.182
3.168,8
269
10.2
Percent change
Tennessee
+2,8
+2,8
-16
-1,6
+3,2
+3,2
-8,8
-8.9
1986
1987
4.803.000
4.855.000
217.780
226.516
4.534,2
4665,6
25.919
25.900
539,6
533,5
191,861
200.616
3,9946
4.132,2
501
444
10,4
9,1
Percent change
+4,0
+2,9
- 1
-1,1
+4,6
+ 3,4
-11,4
-12.5
West South Central
1986
1987
26.861.000
26.910.000
1.801.253
1.857,060
6.705,8
6.901,0
167.841
160.380
624,9
596,0
1.633.412
1.696.680
6.081,0
6.305,0
3.293
2.881
12.3
10,7
Percent change
+3.1
+ 2,9
^,4
-4,6
+3,9
+ 3,7
-12,5
-13,0
Arkansas
1986
2.372.000
93.094
3.924,7
9.365
394,8
83.729
3.529,9
191
8,1
1987
2.388.000
101.376
4.2452
9.839
412,0
91.537
3.833,2
182
7,6
Percent change
+ 8,9
+ 8,2
+ 5 1
+4,4
+9,3
+ 8,6
-4J
-6,2
Louisiana
1986
1987
4.501.000
4.461.000
273.572
262.006
6.078,0
5.873 3
34.128
30.916
758,2
693,0
239.444
231.090
5.319,8
5.180,2
575
496
12,8
11,1
Percent change
^.2
-3,4
-9 4
-8,6
-3,5
-2,6
-137
-13,3
Oklahoma
1986
3.305,000
198,765
6.0141
14.423
436,4
184.342
5.5777
269
8,1
1987
3.272.000
197.159
6.025,6
13.664
417,6
183.495
5.608.0
244
7,5
Percent change
1986
16.682.000
-8
1.235.822
+ ,2
7.408,1
-5,3
109.925
^,3
658,9
-,5
1.125.897
+ 5
6.749.2
-9,3
2.258
-7,4
Texas
13,5
1987
16.789.000
1.296.519
7.722,4
105.961
631,1
1.190,558
7.091,3
1.959
11,7
Percent change
+4,9
+4,2
-3,6
^,2
+5,7
+ 5,1
-132
-13,3
See footnotes at end of table
48
Table 4. — Index of Crime: Region, Geographic Division, and State, 1986-1987 — Continued
For,.-il>
c rjpc
R..hlvr>
.Attgr;l^d1
-d UNsaull
HurgLir,
l.;irtei
>-lhefl
Mdlor »e
Kicle Ihefl
Arvm
Number
Rjlc per
loo.oai
Number
R.irc per
lOO.OOO
NuniK^r
Rilte per
100,(X»
Number
R,t1e per
100,000
Number
Rate per
100,000
Number
Rale per
100,000
Number
Rale per
100.000
33,670
40,6
165.547
199,5
308.028
371.2
1,263,456
1,522,5
2,578,661
3,107,4
379,875
457,8
32.958
39,3
160,979
191.9
306.903
365.9
1,312,800
1,565.0
2,716,333
3,238.2
404,884
482,7
-2.1
-3,2
-2.8
-3.8
-.4
-1.4
+3.9
+2.8
+5.3
+4.2
+6.6
+5.4
16.425
40 1
90.770
221.8
168,757
412.4
602.885
1.473.5
1.292,494
3,158.9
166.727
407,5
16.520
396
90.619
2174
169,172
405.8
631.019
1.513.8
1.365.577
3,276.0
188.741
452.8
+ 6
-1.2
-.2
-20
+ .2
-16
+4.7
+ 2.7
+ 5.7
+ 3.7
+ 13.2
+ 11.1
360
569
786
1242
1,526
241.1
6.598
1.042,3
19,562
3,090.4
1,721
271.9
441
68.5
789
122.5
1,511
234.6
6.572
1,020.5
20,453
3,175.9
2.007
311.6
+ 22.5
+20.4
+.4
-1.4
-1.0
-2.7
-.4
-2.1
+4.6
+ 2.8
+ 16.6
+ 14.6
328
524
4,720
754.0
4,181
667.9
10,815
1,727.6
25,861
4,131.2
6.105
975.2
245
39.4
4,462
717.4
5,084
817.4
11,244
1,807.7
25,012
4,021.2
6,297
1.012.4
-253
-24.8
-5.5
^.9
+21.6
+ 22.4
+4.0
+4.6
-3.3
-2,7
+3.1
+3.8
6.152
52.7
42.822
.166.8
70.668
605.3
259,331
2,221.3
510,496
4,372.6
69,824
598,1
6.032
50.2
42.869
356.6
72.896
606.3
271.346
2,256.9
546,466
4,545.2
81,355
676.7
-2.0
-4.7
+ .1
-2.8
+3.2
+ .2
+4.6
+ 1.6
+7.0
+ 3.9
+ 16.5
+ 13.1
2.678
439
13.056
213 9
19.449
318.6
88,695
1,453,1
182,171
2,984.5
26.264
430.3
2,681
43 1
13,014
209.2
19.438
312.4
96,572
1,552,1
197,302
3,171-0
30.637
4924
+ .1
-1.8
-.3
-2.2
- 1
-1.9
+ 8.9
+6.8
+ 8.3
+6.2
+ 16.7
+ 14.4
1.944
43.6
13,569
304.0
21.263
476.4
55,593
1,245.6
1.12,904
2,977.9
24.334
545.2
1.7<)5
39.6
13,164
290.3
19.425
428.3
52,718
1,162.5
134,485
2,965-5
26.386
581.8
-7.7
-9.2
-3,0
-».5
-8.6
-101
-5.2
-6.7
+ 12
--4
+8.4
+6.7
1.673
26.4
5,551
87.7
22.389
3536
77.557
1,225.0
153,378
2,422.7
13.186
208.3
1.863
29 1
6,023
93.9
22,634
352.9
86.964
1,356.1
165,841
2,586.0
14.352
223.8
+ 11.4
+ 10,2
+ 8.5
+7.1
+ 11
-2
+ 12.1
+ 10.7
+8.1
+6.7
+8.8
+7.4
1.395
41 3
3.361
99.5
17,742
525.2
45.276
1,. 340.3
96,132
2,845.8
9.344
276.6
1.417
437
3.463
101.1
17,495
510.8
46,511
1,358.0
97,892
2,858.2
9.618
280.8
+7.3
+ 5.8
+ 3.0
+ 1.6
-1.4
-2.7
+2.7
+ 1,3
+ 1,8
+ .4
+2,9
+ 1.5
1.533
265
6,118
105.7
9.646
166.7
47,021
812,5
145,935
2,521.8
12,702
219.5
1.537
26.0
6.244
105.8
9,196
155.8
47,642
806.9
153,690
2,603.2
15,022
254.4
+.3
-1.9
+2.1
+ .1
-4.1
-6.5
+ 1.3
-.7
+ 5.3
+3.2
+ 18,3
+ 15.9
362
18.9
787
41.0
1,893
98.6
11,999
625.3
26,055
1,357.7
3,247
169.2
429
22.6
591
31 2
1,493
787
11,450
603.6
24,436
1,288.1
3,067
161 7
+ 18.5
+ 19.6
-24.9
-23.9
-21.1
-20.2
^.6
-3.5
-6.2
-5.1
-5.5
-4.4
4.944
32.5
19,274
126.7
42,527
279.6
169.590
1,115.1
308,811
2,030.4
48,073
316.1
4.818
31.5
18,847
123.3
43,365
283.6
177,667
1,162.0
324,684
2,123.5
49,649
324.7
-2.5
-3.1
-2.2
-2.7
+2.0
+ 1.4
+4.8
+4.2
+ 5.1
+4.6
+ 3.3
+2.7
1.150
28.4
4,523
1116
16,534
407.9
46,974
1,159.0
93.396
2,30».4
10,821
267.0
1.137
27.8
4,581
112.2
16,735
409.9
48,927
1,198.3
99.260
2,431,1
10,731
262.8
-11
-2.1
+ 1.3
+ .5
+ 1.2
+.5
+4.2
+ 3.4
+6.3
+5.5
-8
-1.6
860
23.1
3,076
82.5
8,283
222.2
30,725
824.2
64,882
1,740.4
7,203
193.2
781
21.0
3,361
90.2
8,167
219.1
31,571
847.1
70,532
1,892.5
7,181
192,7
-9.2
-9.1
+9.3
+9.3
-1.4
-1.4
+ 2.8
+ 2.8
+ 8.7
+8.7
-.3
-3
678
25.8
1,697
646
4,526
172.4
28,242
1,075.9
48,430
1,845.0
3,940
150.1
767
29.2
1,496
57.0
4,549
173.3
31,537
1,201.4
47,433
1,807.0
4,212
160.5
+ 13.1
+ 13.2
-11.8
-11.8
+.5
+.5
+ 11.7
+ 11.7
-2.1
-2.1
+6.9
+6.9
2,256
47.0
9,978
207.7
13,184
274.5
63,649
1,325.2
102,103
2,125.8
26,109
543.6
2.133
439
9,409
193.8
13,914
286-6
65,632
1,351.8
107,459
2,213.4
27,525
566.9
-5.5
-6 6
-5.7
-6.7
+ 5.5
+4.4
+3.1
+ 2.0
+ 5.2
+4.1
+ 5.4
+4.3
12.301
45.8
55,503
206.6
96,744
360.2
490,981
1,827.9
977,356
3,638.6
165,075
614.6
11.620
43.2
51,513
191.4
94,366
350.7
504,114
1,873.3
1.026,072
3,813.0
166,494
618.7
-55
-5-7
-7.2
-7.4
-2.5
-2.6
+2.7
+2.5
+5.0
+4.8
+ 9
+ .7
686
28.9
1.890
79.7
6,598
278.2
24,429
1,029.9
54.677
2,305.1
4,623
194.9
779
32.6
1.890
79,1
6,988
292.6
25,743
1,078.0
60.862
2,548.7
4,932
206.5
+ 13.6
+ 12.8
-.8
+ 5.9
+ 5,2
+ 5.4
+4.7
+ 11.3
+ 10.6
+6.7
+6.0
1.806
40.1
10.071
223.8
21,676
481,6
65,751
1,460.8
153.818
3,417.4
19,875
441,6
1.600
35.9
7.987
179.0
20.833
4670
64,441
1.444.5
148,247
3,323.2
18,402
412,5
-114
-10.5
-20.7
-20.0
-39
-3.0
-2.0
-1.1
-3.6
-2.8
-74
-6,6
1.202
36.4
3.521
106.5
9.431
285.4
59,054
1.786.8
103,832
3,141 7
21,456
649,2
1,173
35.8
3.583
109.5
8,664
264.8
58,333
1.782.8
105,369
3,2203
19,793
6049
-2.4
-1.6
+ 1 8
+ 2.8
-8.1
-7.2
-1.2
-.2
+ 1.5
+2.5
-7.8
-6.8
8,607
51 6
40.021
239.9
59.039
353-9
341,747
2.048.6
665.029
3,986.5
119,121
714.1
8,068
48.1
38.053
226.7
57.881
.344 8
355,597
2.118.0
711.594
4.238.5
123,367
734.8
-«3
-68
-49
-5 5
-2.0
-26
+4 1
+ 3 4
+ 70
+6.3
+ 3.6
+ 2.9
49
Table 4. — Index of Crime: Region, Geographic Division, and State, 1986-1987 — Continued
Crime Index (dial
Miidineil Crime
Vjoleii
enme
Pntpenv enme'
Murder
iiid n<in-
Area
Your
Pc.pulalii.n
Index inlal-
negligeni n
anslaughler
Number
Rale per
100.000
Numher
Rale per
100.000
Nunit>er
Rate per
100.000
Number
Rale per
100.000
Number
Rale per
100.000
West
1986
48,759,000
3,239,661
6,644,2
354,397
355,020
726.8
2,885.264
2.855,598
5,917.4
5,745.7
4,500
4,248
9.2
8.5
1987
49,700,000
3,210,618
6,460.0
714.3
Percent change
-.9
-2,8
+.2
-1,7
-1.0
-2.9
-5 6
-7.6
74
Mountain
l^JSb
1.1.021,000
823.332
6.323.1
66,042
507,2
757.290
5.8159
964
1<)87
LI. 167,000
811.236
6,161.1
61,193
464,7
750.043
5.6964
810
6,2
Percent change
-1,5
-2.6
-7,3
-84
-1.0
-2.1
-16.0
-16,2
Arizona
liJSb
3,.l 17.000
242.850
7,321.4
21,835
658,3
221.015
6,663. 1
307
9,3
11)87
.1.. 186.000
243.405
7,188.6
20.742
612,6
222.663
6,576.0
253
7,5
Percent change
+ 2
-1.8
-5,0
-6,9
+.7
-1.3
-17.6
-19,4
Colorado
]<i%b
.1267.000
229.731
7,031.9
17.105
523,6
212.626
6,508.3
2.10
7,0
1987
.1.296.000
212.634
6,451.3
15.409
467.5
197,225
5,983.8
191
5,8
Percenl change
-7,4
-8.3
-9.9
-10,7
-7.2
-8.1
-17.0
-17,1
Idaho
1986
1.003,000
42,196
4,207.0
2,232
222.5
39,964
3,984.4
32
3,2
1987
998.000
41,480
4,156,3
2,138
214,2
39,.142
3,942, 1
31
3,1
Percenl change
-1.7
-12
^,2
-3,7
-1,6
-11
-3.1
-3,1
Monlana
1986
819.000
36,682
4,478,9
1,289
1574
35.393
4,321,5
24
2,9
1987
809.000
37,209
4,599,4
1,223
151,2
35.986
4,4482
33
4,1
Percent change
+ 14
+ 2,7
-5,1
-3,9
+ 1,7
+ 29
+ 375
+41,4
Nevada
1986
963.000
60,570
6,289,7
6.923
7189
53.647
5,570,8
121
12,6
1987
1.007.000
64.160
6.371,4
7.006
695,7
57.154
5.675,7
85
8,4
Percenl change
+ 59
+ 1,3
+ 1,2
-3,2
+6.5
+ 1,9
-29.8
-33,3
New Mexico
1986
1.479.000
97.997
6.625,9
10.731
725,6
87.266
5.900,3
170
11,5
1987
1.500,000
98.202
6.5468
9.427
628,5
88.775
5.918.3
152
10,1
Percenl change
+ 2
-1,2
-12,2
-13,4
+ 1,7
+ 3
-10,6
-12.2
Utah
1986
1.665.000
91.215
5.478,4
4.441
266,7
86.774
5.211,7
53
3,2
1987
1.680.000
94.393
5.618,6
3,861
229,8
90.532
5.388,8
55
3,3
Percenl change
+ 3,5
+2,6
-13,1
-13 8
+4,3
+ 3 4
+ 3,8
+ 3,1
Wyoming
1986
507,000
22,091
4.357,2
1.486
293. 1
20,605
4.064 1
27
5.3
1987
490.000
19,753
4.031,2
1.387
283.1
18,366
3,748,2
10
2,0
Percenl change
-10,6
-7,5
-67
-3.4
-10,9
-7.8
-63,0
-62,3
Pacific
1986
35,737.000
2.416.329
6,761.4
288.355
806,9
2,127,974
5.954,5
3,536
9,9
1987
36.533.000
2.,199,382
6,567,7
293.827
804.3
2,105,555
5,763.4
3,438
9,4
Percent change
-,7
-2.9
+ 19
„ 3
-1,1
-3,2
-2 8
-5.1
8.6
Alaska
1986
534,000
33,353
6,245,9
3.046
570,4
30,307
5,675,5
46
1987
525,000
28,232
5,377.5
2..19I
455,4
25.841
4.922 1
53
10,1
Percent change
-15,4
-13,9
-21,5
-20,2
-14,7
-13,3
+ 15,2
+ 17.4
California
1986
26,981,000
1,824,669
6.762,8
248,370
920,5
1.576.299
5,842,3
3,038
11,3
1987
27.663.000
1,799,871
6.506,4
253,941
9180
1.545.928
5,588,4
2.924
10.6
Percent change
-1.4
-3,8
+ 2,2
-,3
-1,9
-4,3
-3,8
-6,2
Hawaii
1986
1,062,000
60,230
5,671,4
2,604
2452
57.626
5,426,2
51
4,8
1987
1.083.000
63.008
5,817,9
2.851
263,3
60.157
5,5547
52
4.8
Percent change
+46
+2.6
+9,5
+ 7,4
+4.4
+2 4
+ 2,0
Oregon
1986
2.698.000
191,037
7,080.7
14,830
549,7
176.207
6,531,0
6,429,4
178
6 6
1987
2.724.000
189,835
6,969,0
14,697
5.19,5
175.138
153
5.6
Percent change
-6
-16
- q
-1,9
-6
-1,6
-14,0
-15.2
Washington
1986
4.463.000
307,040
6,879 7
19.505
437.0
287.535
6,442,6
223
5,0
1987
4.538,000
318,436
7,017,1
19.945
439.5
298,491
6,577,6
256
5,6
Percent change
+ 3 7
+ 20
+2 3
+ 6
+ 3.8
+2,1
+ 148
+ 120
Puerto Rico''
1986
3.390.000
118,315
3,490.4
25.843
762.4
92,472
2,728.0
607
17,9
1987
3.279,000
110,144
.1,358,8
23.550
718.2
86.594
2,640.7
499
15,2
Percent change
-6,9
-3-8
-89
-5.8
-64
-3.2
-17,8
-15,1
|Populaiions are Bureau of the Census provisional estimates as of July 1. 1*^86 and 1987, and are subject to change.
■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 a;
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 guidehnes The N86 and 1987 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by hke agencies See
"Offense Estimation", page 4 for details
Includes offenses reported by the Zoological Police
Population and offense data are not included in U S totals. The rates for Puerto Rico were calculated using the unrounded population
Offense totals are based on all reporiing agencies and eslmiaies for unreported areas.
50
Table 4. -
-Index of Crime: RcRion. Geographic Division, and State, 1986-1987— Continued
Forcible ijpc
RobKT)
At;gra\.il
d .issault
llur):lar\
1 arteinlhifl
Molnr ve
llele Ihefl
Arv.ii
Number
Rale per
100.000
Number
Rale per
100.000
Number
Rale per
100,000
Number
Rale per
100,000
Number
Rale per
100.000
Number
Rate per
IIXI.CXXI
Number
Rale per
100.000
2I.597
44.3
122.185
250.6
206. 115
422,7
814,731
1.670,9
1.785,762
3,662,4
284,771
584.0
21.322
42.9
110,936
223,2
218,514
439.7
757,189
1.523,5
1.784,415
3,590.4
313,994
631.8
-1.3
-3.2
-9.2
-10.9
+6.0
+4.0
-7.1
-8.8
-.1
-2.0
+ 10.3
+8.2
5,000
38,4
16.488
126.6
4.1,510
334.8
200.471
1,5316
501,225
3.1108
47,514
365 5
4.862
369
14..195
1013
41,126
3123
184.622
1,402 2
518,161
3.135,4
47,252
358.9
-:s
-3.9
-12.7
-13 7
-5,7
-6.7
-7 1
-8 1
+ 18
+ 6
-.7
-1.8
1.425
430
5.614
161.2
14,481
4368
63.278
1,107 7
143,845
4.3366
13.812
418.8
1.3%
41.2
4.687
138 4
14,406
4255
55,051
1,626 1
153,216
4.527,3
14,, 308
4226
-2,0
-».2
-16.5
-18.2
-.6
-2,6
-130
-148
+66
+4,4
+ 30
+ .1
1.382
42.3
4.731
1448
10.762
321.4
58,531
1,711 6
138,211
4,230,8
15.876
486.0
1..344
40.8
3,116
1188
1.158
.W2 1
50.580
1.5,M,6
132.266
4.012,1
14.371
4.36.3
-2.7
-3.5
-17.2
-18,0
-7,5
-8.3
-13.6
-14.3
^,3
-5.2
-1,4
-10.2
201
200
214
21.3
1.785
178.0
10,065
1.003,5
28.081
2.719.7
1.818
181.3
175
17.5
242
24,2
1.690
169.3
1.748
176.8
27.123
2,717.1
1.671
167.4
-12.")
-125
+ 13.1
+ 13,6
-5,3
^.9
-3,1
-2.7
-.6
-.1
-8,1
-7.7
142
17.3
160
11.5
163
117 6
6.411
712.6
27.142
3.314.0
1.760
214.1
160
11.8
116
24,2
834
103.1
6.521
806 1
27.541
3.404.3
1.124
2378
+ 12,7
+ 14.5
+22.5
+24,1
-13,4
-12.3
+ 5
+ 1.7
+ 1.5
+2.7
+1,3
+ 10.7
625
64.9
2.763
286,1
3.414
354,5
15.446
1,603.1
33,601
3.481.2
4,600
477.7
622
61.8
2.744
272,5
3,555
353.0
16.408
1,621.4
35,157
3.411.3
5.581
555,0
-.5
-4.8
-.7
-5,0
+4,1
-,4
+6,2
+ 1.6
+4,6
+.1
+ 21,5
+ 16,2
613
469
1.916
121,5
7.952
537,7
27.283
1,844.7
54,906
3.712,4
5.077
343,3
646
43.1
1,625
108,3
7.004
466,1
26.815
1,787,7
56,777
3.785,1
5.183
345.5
-6.8
-8,1
-1.5,2
-16,4
-11,9
-13,2
-1.7
-3.1
+ 3,4
+2.0
+ 2,1
+ .6
421
253
976
58,6
2.911
171,6
15.233
114.9
67,825
4.0736
3.716
223.2
365
21.7
887
52,8
2.554
152.0
15.175
1501
71.038
4.228.5
3.511
201.5
-13,3
-14,2
-9,1
-1,9
-14,6
-15.4
+4.1
+ 3 1
+47
+38
-5.3
-6 1
111
21,9
114
22,5
1.234
243,4
4,144
817.4
15.606
3,078. 1
855
168.6
154
31.4
98
20,0
1.125
229,6
3,516
717.6
14.171
2,812.0
671
138.6
+38.7
+4.M
-140
-111
-88
-5,7
-15.2
-122
-1,2
-60
-20.6
-17 8
16.597
46 4
105.697
295,8
162.525
454.8
614,260
1.718.8
1.276,537
3.572.0
237.177
663,7
16.460
45 1
16.541
264,3
177.388
485.6
572.567
1,567 3
1.266.246
3.466.0
266,742
730,1
-.8
-2,8
-8,7
-10.6
+9.1
+6.8
-6.0
-8,8
-,8
-3.0
+ 12.5
+ 10,0
388
72,7
470
88.0
2,142
401,1
6.204
1.161.8
20,871
3.101.9
3.224
603,7
341
65.0
384
73,1
1,613
307,2
5,093
970.1
18.115
3.465.7
2,553
486,3
-12.1
-10,6
-18,3
-16,9
-24,7
-23,4
-17,9
-16.5
-12.9
-11.4
-20.8
-114
i2.ni
449
12,512
342.1
140,701
521 5
457.618
1,616,4
113,004
3.3831
205,517
762,0
12.101
43.8
83.341
301.3
155.569
562.4
411,161
1,518,2
896.335
3.240.2
221.624
830 1
-1
-2.4
-1,9
-12,1
+ 10,6
+ 7.8
-8.2
-105
-1,8
^,2
+ 11,7
+ 8.1
329
31.0
1,129
106,3
1,015
103 1
14.218
1,338,8
31,922
3.751,1
3,486
328.2
393
36.3
1.061
98,0
1.345
1242
12.515
1.155,6
43,678
4.033,1
3,164
366,0
+ 11,5
+ 17,1
-6,0
-7,8
+22,8
+20.5
-12.0
-137
+1,4
+ 7,3
+ 13,7
+ 11.5
1.379
51 1
5.555
205,9
7.718
286.1
53,062
1.166,7
112,312
4,162.8
10.833
401.5
1.247
45.8
5.338
196,0
7.959
212.2
48.562
1.782,7
113,107
4.181.6
12.661
465.1
-9,6
-10.4
-3,1
^,8
+3,1
+ 2.1
-8,5
-14
+ 14
+ 5
+ 16.1
+ 15.8
2.382
53,4
6.031
135.1
10.861
243.5
83,078
1.861 5
110.420
4,266.6
14.037
314.5
2.370
52,2
6,417
141.4
10.102
240 2
86,428
1,104 5
114,131
4,277.1
17,132
3152
_ s
_2 2
+6 4
+47
+ 3
-1.4
+4.0
+ 2 3
+ 11
+ 3
+ 277
+25 7
436
12.1
16,447
485.2
8,353
246.4
38,712
1.144.4
32.340
154.1
21.340
6216
410
141
14.506
442.4
8.055
245 6
35.505
1.082.7
32.671
916.3
18.418
561 7
+ 12.4
+ 15 5
-11 8
-8 8
-36
- 3
-8 5
-5 4
+ 10
+4.4
-137
-108
51
Table 5. — Index of Crime, State, 1987
Populatmn
Crime
Index
K.lal
MciliHed
Crime
Index
loul'
Hr,.perl>
ermie'
Murder
and mtii-
negligem
man-
slaughrer
F.irtlbk
rapt
Robbery
Aggra-
vated
assault
Burglary
l-areen>-
Ihefl
Molor
vehicle
Ihefl
Arson'
ALABAMA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting. .
Estimated totals
Rural
Area actually reporting...
Estimated totals
State Total
Rate per 100.000
inhabitants
ALASKA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
ARIZONA
Metropolitan Statistical
Area
Area actually reporting ,
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting....
Estimated totals
State Total
Rate per 100,000
inhabitants
ARKANSAS
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100.000
inhabitants
CALIFORNIA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Stale Total
Rate per 100.000
inhabitants
See footnotes at end of table
2,61').3.11
100 O^f
622,725
100.0%
840,944
92.2%
1000%
4,083,000
231,039
100.0%
168,591
87,4%
100.0%
125.370
100.0%
525,000
2,587,955
100.0%
422,312
98.3%
100.0%-.
375,733
91.0%
100.0%
3,386,000
939.691
99 9%
100.0%
557.523
97,1%
100.0%
880,786
100.0%
2.388.000
140.510
142.247
29.639
30.669
8.143
8,835
181,751
4,451.4
13,746
8,100
9,267
5,219
28,232
5,377.5
204,538
.30,282
30.803
7.342
8.064
243,405
7,18
62,614
62,701
26,722
27,507
11,168
101,376
4,245.2
26,472,962
99.9%
1.742.156
100.0%
1.742,451
489.679
99.2%
33.873
100.0%
.34,131
700.359
100.0%
23,289
27,663,000
1,799,871
17,239
17,474
4.138
4.281
994
1.078
22,833
559.2
1.025
455.4
17.226
612.6
6,467
6,473
2,469
2,542
824
9,839
6,506.4
246,539
246,575
3,409
3.435
3.933
253.943
9180
123.271
124.773
25.501
26.388
7.149
7,757
158,918
3,892.2
12.721
590
7,510
675
8,592
691
4,528
2,391
25,841
4,922.1
187,312
2,267
28,015
2,305
28,498
1,103
6,239
1,211
6,853
20,742
222,663
6,576.0
56,147
56,228
24,253
24.965
10,344
91,537
3.833,2
1,495.617
1.495.876
30.464
30.696
19,356
1.545,928
5,5884.
292
294
41
42
41
44
380
9,3
53
10,1
206
17
17
27
30
253
7,5
57
182
7,5
2,836
2,836
59
2,924
10,6
920
927
122
126
77
84
1,137
27,8
154
108
341
65.0
1.208
139
141
43
47
1,396
41.2
540
541
127
131
107
779
32.5
11.759
11.771
170
171
167
12.109
43.8
4,157
4.207
296
306
63
68
4,581
1122
285
384
73.1
4.262
347
353
65
72
4,687
138.4
1,444
1,445
341
351
94
1,890
79 1
82,651
82,672
464
468
201
83.341
11,860
12,046
3.579
3.807
813
882
16,735
409,9
571
450
515
527
1,613
.307,2
11,550
1,764
1.794
957
1,062
14,406
425,5
4,406
4,410
1,964
2,022
556
6,988
292,6
149.273
149,296
2,746
2,767
3,505
155,569
38,340
38.739
5.295
5.514
3.386
3,674
48,927
1,198,3
2,113
1,081
1,237
1,743
5,093
970,1
6,145
6.251
2.378
2.612
55,059
1.626,1
15.324
15.344
5,939
6,113
4.285
25,743
1.078,0
404.492
404.550
7.745
7.804
7.605
419,969
75.855
76.867
18.126
18.755
3.352
3.637
99,260
2.431,1
9,491
5,581
6,385
2,319
18,195
3,455,7
3013 562 4
20,379
20,730
3,365
3.597
153,296
4.527,3
37.768
37.825
17.129
17,632
5.405
60,862
2,5487
864,473
864.530
21.051
21,211
10,494
896,335
3,240,2
9.076
9.157
1.080
1.118
411
445
10,731
252,8
1,117
970
466
2,553
485,3
12.247
1,491
1,517
495
544
14,308
422.5
3.055
3,059
1,185
1,220
653
4,932
206.5
225.652
226.685
1,668
1.581
1,257
229,624
8301
52
Table 5. — Index of Crime, State, 1987 — Continued
COLORADO
Mecropolitan Slalislical
Area
Area actually reporting
Olher Cilies
Area actually reporting
Estimated totals -
Rural
Area actually reporting..
State Total
Rate per 100,000
inhabitants
CONNECTICUT
Metropolitan Statistical
Area
Area actually reporting .
Other Cilies
Area actualK reporting.
Rural
Area actually reporting
State Total
Rale per 100.000
inhabitants
DELAWARE
Metropolitan Statistical
Area
Area actually reporting .
Olher Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100.000
inhabilanis
DISTRICT OF COLLMBIA'
Metropolitan Siatisiical
Area
Area actually reporting
Olher Cities
Rural
State Total
Rale per 100,000
inhabiiants
FLORIDA
Metropolitan Statistical
Area
Area actually reporting
Olher Cities
Area actually reporting .
Estimated lolals
Rural
Area actually reporting
State Total
Rale per 100,000
inhabitants
l>,.pul;,l
;, 688.401
lOO.O
285. .vn
lOO.OO-f
.122.262
100 0'
3,296,000
2.Q44.44')
100,0'^^
87.2.^5
lOO.O
\n.i\b
1000'
3,211,000
425.262
lOO.OT-
67.68<)
lOO.OCi
151.04')
1000'
644,000
622.000
100.0'7f
NONE
NONE
622,000
Crime
Imlcr
IKIal
184.707
17.762
17.818
10.109
212,634
6.451.3
152.979
3.418
4.015
160,413
4.995.7
21.767
5.661
4..'>78
31,806
4.938.8
52.569
52,569
8.451.6
10.925.481
lOOO'/r
971.787
290.869
99.7f?f
20.633
100.0%
20,702
806.650
lOOOCr
29.846
12,023,000
1,022,335
M.Klilii-U
Crime
hidei
i.<l.ir
8.503,2
Viok'iil
,.rimc
14.009
765
767
b}}
15.409
467.5
12.686
303
466
13,455
4190
l'n>pfrl>
cnnic'
430.7
10.016
10,016
1.610.1
117.263
2.358
2.366
-1.539
123,168
1,024.4
16.997
17.051
9.476
197,225
5.983.8
140.293
3.115
3.550
146,958
Murder
and (uiii-
nogligcnl
IllUll-
sliiughlcr
1,800
19.967
4.16
5.225
538
3.840
2,774
29,032
4,508 1
42.553
42,553
6.841.3
854.524
18.275
18.336
26,307
899,167
7.478.7
175
5
5
II
191
5.8
151
4
156
4.9
15
33
5 1
225
225
36.2
1.293
17
17
61
1,371
114
1.235
60
60
49
1,344
40 8
743
28
29
800
249
250
38
153
441
685
245
245
394
5.652
141
141
239
6,032
502
42
3,916
Angru-
valcd
USMIUII
5.633
30
57
5,720
178.1
616
119
54
789
122 5
4,462
4,462
717.4
41,901
486
488
480
42,869
356 6
8,801
624
626
531
9,958
302.1
6,159
244
376
6,779
211.1
919
276
316
1,5
2.14.6
5,084
5,084
817.4
68,417
1,714
1,720
2,759
72,896
606.3
Hurgl.,r>
44.93 1
3.073
3.083
2.566
50,580
1.534.6
37.013
715
1.392
39,120
1.218.3
4.375
927
1.270
6,572
1.020.5
11.244
11,244
1.807.7
255.932
5,008
5,025
10,389
271,346
2,256.9
I iirtcnj-
Ihi-fl
112,519
1 .1.370
13.412
6..135
132.266
4.012.9
86,859
2.182
1.811
90,852
2.829.4
13.955
4.141
2.357
20,453
3.175.9
25.012
25,012
4.021.2
519,974
12,384
12,425
14,067
546,466
4,545.2
Molor
u-hick-
Ihifl
1.1.248
554
556
575
14,379
436.1
16.421
218
347
16,986
529.0
1,637
157
213
2,007
311 6
6.297
6,297
1.012.4
78,618
883
1,851
81.355
676.7
See foolnoles al end of table.
53
Table 5. — Index of Crime, State, 1987 — Continued
Area
Pdpulaiicri
Crime
Index
Utial
Mcidiried
Crime
Index
uilal'
Vuikiil
erime
Properly
enme
Murder
and noii-
negligenl
man-
slaughler
Forcible
rape
Robtier)
Aggra-
valed
assault
Burglary
Larceny -
Ihefl
Mnlnr
vehicle
Ihefl
Arson'
GEORGIA
Melropolitan Statistical
Area
4.000.327
Area actually reporting
98, 89^
275.778
27.391
248.387
509
1,940
11.152
13.790
71.197
151,280
25.910
Estimated totals
lOOO-yr
279.130
27.636
251.494
513
1,959
11.246
13.918
72.018
153,264
26.212
Other Cities
867,273
Area actually reporting
li.b'T,
46.125
4.503
41.622
86
297
1.123
2,997
12,322
27,252
2.048
Estimated totals
lOOOOi-
49.295
4.812
44.483
92
317
1.200
3.203
13.169
29.125
2,189
Rural
1,354,400
Area actually reporting
95,791-
30.581
3,273
27.308
124
388
544
2,217
10.896
14.272
2.140
Estimated totals
I00,0<7,
31.954
3.420
28.534
130
405
568
2.317
11.385
14.913
2,236
Stale Total
6,222,000
360,379
35,868
324,511
735
2,681
13,014
19.438
96.572
197,302
30.637
Rale per 100.000
inhabitants
5.7920
5765
5.215 5
11.8
43.1
209,2
312,4
1.552 1
3.171.0
492,4
HAWAII
Metropolitan Statistical
Area
832,614
Area actually reporting
100 09}
48.949
2.258
46.691
36
322
985
915
9.136
34.239
3.316
Other Cities
38,836
Area actually reporting
100.09}
2.269
74
2.195
5
15
17
37
477
1.625
93
Rural
211,550
Area actually reporting
100.09}
11.790
519
11.271
11
56
59
393
2.902
7.814
555
State Total
1,083,000
63,008
2,851
60,157
52
393
1,061
1.345
12,515
43,678
3,964
Rate per 100.000
inhabitants
5.817.9
263,3
5,554.7
4.8
36.3
98,0
124,2
1,155,6
4,033.1
366,0
IDAHO
Metropolitan Statistical
Area
192,932
Area actually reporting
100.0%
10.568
589
9.979
6
55
90
438
2.925
6.602
452
Other Cities
393.146
Area actually reporting
100.09i-
22.051
940
21,111
13
71
115
741
4.050
16.313
748
Rural
411.922
Area actually reporting
98.29?-
8.700
598
8.102
12
48
36
502
2.723
4.917
462
Estimated totals
100.09J-
8,861
609
8.252
12
49
37
511
2.773
5,008
471
State Total
998,000
41.480
2.138
39.342
31
175
242
1,690
9,748
27.923
1,671
Rate per 100,000
inhabitants
4.156 3
214.2
3.942.1
3.1
17.5
242
169 3
976,8
2.797,9
167,4
ILLINOIS'
Metropolitan Statistical
Area
9.514.040
99.89},
482,526
925
35.928
48.190
116.889
305,019
60,618
Area actually reporting
Estimated totals
100.09}
483.488
925
35,951
48.235
117,097
305,688
60,703
Other Cities
1.057.754
Area actually reporting
95.99?
37.933
28
387
1.502
8,278
28,443
1,212
Esiimated totals
100.09}
39,553
29
404
1.566
8,631
29,658
1,264
Rural
1.010.206
Area actually reporting
100.09?
12,085
13
51
599
4,419
7,146
520
State Total
11,582,000
627,342
92,216
535,126
967
4,443
36,406
50,400
130,147
342,492
62,487
Rate per 100,000
inhabitants
5.416,5
796.2
4,620.3
8.3
38,4
314,3
435 2
1,123,7
2,957,1
539.5
INDIANA
Metropolitan Statistical
Area
3.762.698
Area actually reporting
8609}
164,709
13.866
1 50,843
202
1.252
4.273
8.139
38.442
97.137
15,264
Estimated totals
100.09}
183.507
15.009
168,498
218
1.365
4.318
8,908
42.488
109.128
16,882
Other Cities
622.395
Area actually reporting
73.59}
20.222
1,058
19,164
14
67
185
792
3,401
14.798
965
Estimated totals
100.09}
27.518
1.440
26,078
19
91
252
1.078
4,628
20,137
1.313
Rural
1.145.907
Area actually reporting
49.09}
8.257
843
7,414
34
75
64
670
2,573
4,147
694
Estimated totals
100.09?
16.839
1.720
15,119
70
153
131
1.366
5,247
8,457
1.415
State Total
5,531,000
227,864
18,169
209,695
307
1,609
4.901
11.352
52,363
137,722
19,610
Rale per 100.000
inhabitants
4.119,8
328.5
3.791 3
56
29.1
88,6
205,2
946,7
2,490,0
3545
See footnotes at end of table.
54
Tabic 5. — Index of Crime, Stale. 1987 — Continued
MiKlificd
Murder
Arcil
I'opukitmii
Crime
hides
Inlal
Criim-
tildes
tol.il'
Vi„leiil
crime
l'roperl\
crime
.iiid lion-
iiegligcnl
man-
sluughler
Fc.rcihle
liipe
Ri.hher)
ciled
.issiiull
])iirgl;ir>
l.ircein-
Ihell
Molor
vehicle
Ihefl
Arsdii'
IOWA
McirofHiltian Siaiisiical
Area
l,:i4.451
Area acluallv rerKirling
lOOO'-r
74.068
4,769
69.299
31
255
913
3.570
16,214
50.302
2.783
Other Cilio
670,: 18
Area actually reporting
lOOCf
30.705
1,420
29.285
16
64
90
1.250
5,740
22,555
990
Rural
')4<)..1.M
Area actually reporting
100 0'-;
12.561
364
12.197
12
18
22
312
4,056
7.632
509
State Total
2,834,000
117.334
6,553
110,781
59
337
1,025
5,132
26,010
80.489
4,282
Rate per lOO.CXDO
inhabitants
4.140.2
231.2
3.909,0
2.1
119
36.2
181.1
917.8
2,840.1
151.1
KANSAS
Metropolitan Statistical
Area
1.273.512
Area actually reporting
i)').5'J
81.090
6,612
74,478
75
620
1,823
4.094
19,009
50.534
4.935
Estimated totals
100-O'y
81.428
6.631
74,797
75
622
1,826
4.108
19.070
50.775
4.952
Other Cities
686,758
Area actually reporting
%,<)<7r
31,609
1,718
29,891
17
131
170
1,400
6.362
22.591
938
Estimated totals
lOOO'-r
32,631
1,774
30,857
18
135
176
1,445
6,568
23.321
968
Rural
515.730
Area actually reporting
Wb'-r
7,334
525
6,809
17
51
30
427
2,530
3,932
347
Estimated totals
lOOO'-r
7.361
527
6,8.14
17
51
30
429
2,539
3.947
348
State Total
2,476.000
121,420
8,932
112,488
110
808
2,032
5,982
28,177
78,043
6.268
Rate per 100.000
inhabitants
4.903.9
360.7
4.543,1
4,4
32,6
82.1
241.6
1.138.0
3.152.0
253,2
KENTUCKY
Metropolitan Statistical
Area
1.695.073
Area actually reporting
99 8",
82,645
7.932
74.713
105
533
2.868
4,426
19.867
50.086
4,760
Estimated totals
I00,0<7r
82,837
7,950
74,887
105
533
2,872
252
4,440
19.902
4.944
50.216
4,769
1.099
Other Cities
603.895
99,6'?f
22,171
2,178
19,993
27
94
1,805
13,950
Area actually reporting
Estimated totals
I000'7r
22,252
2,186
20,066
27
94
253
1,812
4.962
14.001
1.103
Rural
1.428,032
Area actually reporting
100.0'/,
16,784
2.453
14,331
148
154
236
1.915
6.707
6.315
1.309
State Total
3,727,000
121,873
12,589
109,284
280
781
3,361
8,l(i7
31,571
70,532
7.181
Rate per 100.000
inhabitants
3.270.0
337.8
2,932.2
7,5
21.0
90.2
219.1
847 1
1.892.5
192,7
LOUISIANA
Metropolitan Statistical
Area
3.082,652
Area actually reporting
<)0T7,
206.624
23.858
182.766
386
1.250
7,211
15.011
51.013
115.098
16,655
Estimated totals
100.0'7f
222.549
25.245
197.304
398
1.333
7.502
16.012
54.578
125.325
17,401
Other Cities
488.131
Area actually reporting
62.9'7,
13,402
1,695
11.707
14
56
208
1.417
3.095
8,345
267
Estimated totals
lOO.O'Xf
21,312
2,695
18.617
22
89
331
2.253
4.922
13,270
425
Rural
890.217
Area actually reporting
742'7r
13,458
2,207
1 1.251
56
132
1 14
1.905
3.665
4.941
7.159
9.652
427
Estimated totals
\oomr
18,145
2,976
15,169
76
178
154
2.568
576
State Total
4,461.000
262,006
30,916
231,090
496
1,600
7,987
20,833
64,441
148,247
18.402
Rate per 100.000
inhabitants
5,873.3
693.0
5,180,2
11 1
35.9
179.0
467.0
1.444.5
3.323.2
41-2.5
MAINE
Metropolitan Statistical
Area
440.996
Area actually reporting
\00.0'7,
22,660
1.044
21.616
9
78
247
710
4,600
2,338
15.966
1,050
611
Other Cities
409,606
98-7<7f
13,713
454
13,259
7
52
44
351
10,310
Area actually reporting
Estimated totals
\0007c
13.891
461
13,430
7
53
45
356
2.368
10,443
619
Rural
336,.398
Area actually reporting
lOOO'/r
5.377
301
5,076
14
55
12
220
2.180
2.507
389
State Total
1.187.000
41,928
1,806
40,122
30
186
304
1 286
9,148
28,916
2.058
Rate per 100.000
inhabitants
3.532.3
152.1
3.380.1
25
15,7
25.6
108.3
770.7
2.4.16.1
173.4
See footnotes ai end of table.
55
Table 5. — Index of Crime, State, 1987 — Continued
Area
I'opubliun
Crime
Index
hil;il
M.>d.ncd
Crime
hides
Dial
Vidlcm
trimc"
Pn.perly
crimf'
Murder
and 11(111-
IlCgllgCIll
man-
slaughter
Fcircible
rape
Rolibery
Apgra
valed
assaull
Burglar>
Larteny-
Ihefl
Molur
vehicle
Ihefl
Arson'
MARYLAND
Metropolitan Statistical
Area
4.21.1.416
Area actually reporting
100.0%
234.162
33.108
201.054
414
1.678
12,949
18.067
49,047
126,119
25.888
Other Cities
82.623
Area actually reporting
lOO.CXf
8.184
724
7.460
1
37
1.19
547
1,728
5.482
250
Rural
2.18.961
Area actually reporting
\0O-0'7,
6.063
988
5.075
21
80
76
811
1,943
2,884
248
State Total
4,535,000
248,409
34,820
213,589
436
1,795
13,164
19,425
52,718
134,485
26,386
Rate per lOO.CXX)
inhabitants
5.477,6
767.8
4,709 8
96
39,6
2903
4283
1,162,5
2,965 5
581 8
MASSACHUSETTS
Metropolitan Statistical
Area
5. .144.027
Area actually reporting
87,9<rf
237,325
29.584
207.741
161
1,642
9,846
17.935
51,959
106,459
49.323
Estimated totals
100.0%
257.916
31.202
226.714
168
1,751
10,211
19.072
56,594
117,346
52.774
Other Cities
499.660
Area actually reporting
76.8%
14.705
1.409
13.296
4
89
129
1.187
4,176
8,107
1.013
Estimated totals
100.0%
19.145
1.834
17.311
5
116
168
1.545
5,437
10,555
1.319
Rural
11,313
Area actually reporting
100.0%
104
24
80
1
23
25
38
17
State Total
5,855,000
277,165
33,060
244,105
173
1,868
10,379
20,640
62,056
127,939
54,110
Rate per 100.000
inhabitants
4.733,8
564,6
4.169,2
3,0
31,9
177,3
352,5
1,059,9
2,185,1
924,2
MICHIGAN
Metropolitan Statistical
Area
7.384.359
99.0%
524.227
67.278
456.949
1,080
5,071
25,071
36,056
115.681
274.979
66.289
Estimated totals
100.0%
528.829
67.662
461.167
1,084
5,101
25,190
36,287
116.527
277.808
66.832
Other Cities
681.714
Area actually reporting
97.3%
29.748
1.337
28.411
11
217
141
968
4,703
22.774
934
Estimated totals
100,0%
30,571
1.374
29.197
11
223
145
995
4,833
23.404
960
Rural
1.133.927
Area actually reporting
100.0%
34.626
2.736
31.890
29
860
107
1,740
12,242
18.258
1.390
State Total
9,200,000
594,026
71,772
522,254
1,124
6,184
25,442
39,022
133,602
319,470
69,182
Rate per 100,000
inhabitants
6.456 8
780.1
5.676,7
12.2
67,2
276,5
424,2
1.452,2
3.472,5
752.0
MINNESOTA
Metropolitan Statistical
Area .
2.792.313
Area actually reporting
100.0%
156.894
10.748
146.146
84
1,193
4,234
5,237
36.125
99.134
10.887
Other Cities
512.693
Area actually reporting
100.0%
22.363
638
21,725
7
92
80
459
3.667
17.092
966
Rural
940.994
Area actually reporting
100.0%
16.729
732
15.997
21
154
40
517
5,592
9.460
945
State Total
4,246,000
195,986
12,118
183,868
112
1,439
4,354
6,213
45,384
125.686
12,798
Rate per 100.000
inhabitants
4.615,8
285,4
4.330.4
2.6
33,9
102,5
146,3
1,068,9
2.960.1
301,4
MISSISSIPPI
Metropolitan Statistical
Area
787.967
•
Area actually reporting
75,9%
36.074
3.050
33.024
77
298
750
1,925
12,328
18.791
1,905
Estimated totals
100,0%
43.267
3.584
39.683
91
390
852
2,251
15,633
21.673
2,377
Other Cities
680.031
Area actually reporting
77,5%
27,214
1.779
25.435
63
163
409
1,144
7,788
16,699
948
Estimated totals
100.0%
35,118
2,295
32.823
81
210
528
1,476
10.050
21,550
1.223
Rural
1.157.002
Area actually reporting
414%
4.912
497
4,415
40
69
48
340
2.421
1,741
253
Estimated totals
100,0%
11.878
1.202
10,676
97
167
116
822
5.854
4.210
612
State Total
2,625,000
90,263
7,081
83,182
269
767
1,496
4,549
31,537
47,433
4,212
Rate per 100.000
inhabitants
3.438,6
269.8
3,168 8
102
29,2
570
173,3
1.201,4
1.807,0
160,5
See footnotes at end of table.
56
Tabic 5. — Index of Crime, State. 1987 — Continued
MISSOIRI
Me(rofK>litun Siaiisiical
Area
Area aciualK rcptirimg
EMimaied loials
Other Cilies
Area actually reporting...
Estimated totals
Rural
Area actual!) refnirting
Estimated totals
State Total
Rate per 100.000
inhabitants
MONTANA
Melropolilan Slalistical
Area
Area actually reptirting..
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
NEBRASKA
Metropolitan Statistical
Area
Area actually reporting. -
Other Cities
Area actually reporting. .
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rale per 100.000
inhabitants
NEVADA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
Sute Total
Rate per 100.000
inhabitants
See footnotes at end of table
I'opul."
.1.J61.226
')i.2'"c
1000'
465.82'J
8.V0'
100.0'
l.275.')45
bO.O'
100 0'
5.103.000
117,089
100.0';!
l').1.4.U
lO-lCf
lOO.OCf
418.479
87.0%
lOOOT-
809.000
747,915
100.0<7r
381,311
95.5%
I00.0'7<-
464.774
79.7%
100,0%
1,594.000
Crime
Indo^
total
201.544
207,85(1
16,632
20,027
7.517
12.339
240,222
4.707.5
13.387
11.543
12,778
9,608
11.044
37.209
4.599.4
43.705
15.022
15.730
5.117
6,422
65,857
4.131.6
829.263
100.0%
58,429
30.148
55.7%
855
100,0%
1,536
147.589
38.2%
1,604
100.0%
4.195
1,007,000
64,160
6.371.4
M.Hhrnd
C'ritm-
liKl0\
lol.il'
Vi,.loni
, rime
l*ritpLTI>
cnnK''
24.715
25,225
I.IS8
1,4.10
693
1,137
27,792
544 6
340
324
11,219
358
12.420
457
9,151
525
10.519
223
35,986
151.2
3.428
348
364
169
212
4,004
251.2
6,236
695.7
176,829
182,631
15,444
18.597
6.824
11,202
212,430
4,1628
13,047
4,448.2
40.277
14.674
15.366
4,948
6.210
61,853
3.880.4
52.193
104
751
187
1,349
223
1.381
583
3.612
7,006
57.154
5.675.7
Murder
and niiii-
iicgligcnl
man-
slaughlcr
353
360
14
30
49
423
8,3
4
4
17
20
33
4.1
40
75
Forcibli
rape
1.244
1.272
66
80
74
121
1,473
28.9
75
29
32
46
53
160
277
50
52
13
16
345
21,6
606
5
622
61.8
8,083
8,161
128
154
37
61
8,376
164 I
75
65
72
43
49
196
24,2
692
37
39
16
20
751
47,1
2,671
3
5
26
68
2,744
272.5
Aggr,.
Milrd
assault
1 5,035
1 5,432
982
1,182
552
906
17,520
343,3
181
226
250
351
403
834
103.1
2.419
259
271
130
163
2,853
179.0
95
171
191
500
3,555
353.0
lUirgli(r>
46,701
48,274
2,888
3.478
3.021
4,959
56,71
I. Ill 3
2.508
1,258
1.393
2.279
2.620
6,521
806.1
9.074
2.476
2.593
1,473
1,849
13,516
847.9
14,796
171
307
499
1,305
16.408
1,629.4
I.arcfny-
Ihefl
110.223
114.021
11.935
14.371
3,394
5,572
133,964
2.625.2
9.463
10.476
6,250
7,184
27,541
3.404.3
29.330
11.752
12.306
3.232
4.056
45,692
2.866.5
32.222
518
931
766
2.004
35,157
3.491,3
Motor
vehicle
Ihefl
19,905
20,336
621
748
409
671
21,755
426.3
658
498
551
622
715
1,924
237.8
1,873
446
467
243
305
2,645
165.9
5,175
62
111
116
303
5,589
555.0
57
Table S. — Index of Crime, State, 1987 — Continued
Area
Populalmn
Crime
Indes
total
MiKliried
Crime
Index
hilal'
Vmlonl
crime-
Property
crime'
Murder
and non-
negligenl
man-
slaughler
Ftireit>le
rape
Ri.libery
Aggra.
valed
assault
Uurgldr>
Larceny-
Ihefl
Motor
vehicle
ihefl
Arson'
NEW HAMPSHIRE
Melropolitan Statistical
Area
568.5.11)
Area actually rept^rting
9<>.S'7r
22.442
967
21.475
17
156
212
582
4.459
15,385
1.631
Estimated totals
100.0'7r
22.543
973
21,570
17
157
213
586
4.478
15.453
1.639
Other Cities
316.049
Area actually reporting
W.6%
11.936
509
11,427
3
98
59
349
2.454
8.406
567
Estimated totals
100-0%
11.980
510
11.470
3
98
59
350
2.463
8.438
569
Rural
172.412
Area actually reporting
100,0'i'f
1.116
98
1,018
12
26
8
52
403
535
80
State Total
1,057,000
35,639
1,581
34,058
32
281
280
988
7,344
24,426
2,288
Rale per 100.000
inhabitants
3.371.7
149,6
3.222.1
30
26.6
26 5
93,5
694,8
2.310.9
216.5
NEW JERSEY
Metropolitan Statistical
Area , .
7,672.000
Area actually reporting
99 97c
403.438
41.491
361.947
351
2,558
17.856
20.726
77.349
219,773
64.825
Estimated totals
100.0%
403,662
41.507
362.155
351
2.559
17.862
20.735
77.392
219.906
64,857
Other Cities
NONE
NONE
Rural
State Total
7,672,000
403,662
41,507
362,155
351
2,559
17,862
20,735
77,392
219.906
64,857
Rate per 100.000
inhabitants
5.261.5
5410
4.720 5
46
33,4
232,8
270,3
1.008,8
2.866.3
845.4
NEW MEXICO
Metropolitan Statistical
Area
712,799
Area actually reporting
91.5%
51.604
5,037
46.567
72
320
1.187
3.458
14.938
28.622
3,007
Estimated totals
100.0%
57.481
5.322
52.159
74
348
1.247
3.653
16.213
32.694
3,252
Other Cities
494.161
Area actually reporting
787%
24.426
2,034
22.392
27
152
238
1.617
5.372
16.008
1.012
Estimated totals
100.0%
31.019
2.583
28.436
34
193
302
2.054
6.822
20,329
1,285
Rural
293.040
Area actually reporting
54.2%
5.259
825
4.434
24
57
41
703
2.049
2,035
350
Estimated totals
1000%
9,702
1.522
8.180
44
105
76
1.297
3.780
3,754
646
State Total
1,500,000
98,202
9,427
88,775
152
646
1,625
7,004
26,815
56,777
5,183
Rate per 100.000
inhabitants
6.546.8
628.5
5.918.3
10.1
43 1
108,3
466,9
1.7877
3.785.1
345.5
NEW YORK
Metropolitan Statistical
Area
16.127,662
Area actually reporting
99 5%
1,007.406
176.069
831.337
1,987
5.294
89,347
79,441
203,807
504,044
123,486
Estimated totals
100.0%
1.010.495
176,289
834.206
1,989
5.305
89.423
79.572
204,457
506,021
123,728
Other Cities
759,585
Area actually reporting
98.8%
29.782
1711
28.071
5
95
211
1.400
5,610
21,605
856
Estimated totals
100.0%
30.139
1.732
28,407
5
96
214
1.417
5,677
21,864
866
Rural
937.753
Area actually reporting
100.0%
20.387
1.670
18,717
22
1.16
84
1.428
6,692
11,290
735
State Total
17,825,000
1,061,021
179,691
881,330
2,016
5,537
89,721
82,417
216,826
539,175
125,329
Rate per 100.000
inhabitants
5.952,4
1.008.1
4,944 3
113
31,1
503,3
462 4
1,216.4
3,024.8
703.1
NORTH CAROLINA
•
Metropolitan Statistical
Area
3.528,786
Area actually reporting
99.2%
198.776
20.915
177,861
304
1.276
4.723
14.612
56,181
111,997
9,683
Estimated totals
100.0%
200.661
21.127
179,534
305
1.285
4.754
14.783
56.637
113,132
9,765
Other Cities
921.687
91.1%
54.452
5.407
49,045
81
278
882
4.166
13,564
33.333
2.148
Area actually reporting
Estimated totals
100.0%
59.796
5.938
53,858
89
.105
969
4.575
14.895
36,604
2.359
Rural
1.962.527
Area actually reporting
98.3%
37.110
3.907
33,203
123
268
295
3.221
15,175
15,837
2.191
Estimated totals
100 0%
37.739
3.974
33.765
125
273
300
3.276
15,4.12
16,105
2.228
State Total
6,413,000
298,196
31,039
267,157
519
1,863
6,023
22,634
86,964
165,841
14,352
Rate per 100.000
inhabitants
4.6499
484 0
4.165 9
8 1
29 1
93,9
352,9
1,356 1
2.586,0
223.8
See footnoies ai end of lable.
58
Table 5. — Index of Crime, State, 1987 — Continued
NORTH DAKOTA
Mciropolilan Sialisiical
Area
Area actually rerKirting
Other Cities
Area ai.iuall> ropiiriing
Eslimaled totals
Rural
Area actually reporting..
tsiimaied totals
Stale Total
Rate per 100.000
inhabitants
PENNSYLVANIA
Metropolitan Slalistical
Area
Area actually reponing
Estimated totals
Other Cilies
Area actually reporting
Estimated totals
Rural
Area actuall) reporting
Sute ToUl
Rate per 100.000
inhabilanis
See foolnoles ai end of table.
t'opulaMoii
OHIO
Melropolilan Slacistical
Area
Area actually reporting..
Estimated totals
Other Cities
Area aLMuall> reportitig
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100.000
inhabitants
OKLAHOMA
Melropolilan Statistical
Area . . . .
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Sute Total
Rate per 100.000
inhabitants
OREGON
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100.000
inhabitants
24<),S25
lOO.O'-r
1.16,248
WO
lOO.O'S-
285.<)27
lOOO'^r
672.000
8.4<)3.241
1)1 O^^r
100 C^f
SbT.W)
76.'»'7r
100.0<7f
1,422.760
77.2<!f
lOOOC-f
10,784,000
1,915.541
100.0%
708.775
QQ9<7f
lOOOCi.
647,684
100,0'
3,272,000
1.8.15.043
\00.0'7r
412.274
lOO.O'Ff
476,68.1
100 0%
2,724,000
10,105.550
98,5%
100.0%
769,66.1
97 9%
100,0%
1.060,787
100 0%
11,936,000
Cnnic
liidcv
U)l;il
11.01.1
4.966
5.019
2.9.18
3.006
19,038
2.8330
405,407
430,718
31.433
40.869
16,835
21,813
493,400
4,575.3
147.162
147.198
37.336
37.386
12.575
197,159
6.025.6
146.502
146.71
28,605
28,660
14,457
189,835
6,969,0
340,364
344.179
18.277
18.664
14,720
377,563
3,163 2
M.KlilK'd
t'rinic
hidc't
I.U.II'
Vh.Ioii
irirnc
85
86
101
103
382
568
39.687
41.398
1.852
2.408
1.258
1.630
45,436
421,3
4176
12.773
12.783
1,007
1,008
906
14,697
539,5
369,4
l'rit|H'rl\
cnnif'
10,820
4.881
4,933
2,837
2,903
18,656
2,776,2
365,720
389,320
29,581
38,461
15,577
20,183
447,964
4,154.0
10,273
136.889
10,274
136.924
2.445
34,891
2.448
34,938
942
11,633
13,664
183.495
5.608,0
133.729
133.935
27.598
27,652
13,551
175,138
6,4294
41.419
298,945
41.749
.102,430
1,387
16.890
1,416
17,248
922
13,798
44.087
333,476
Murder
iiiid noil'
ncgligcnl
nun-
siuughlcr
|-..r,.ihlc
riipc
1
19
2
19
5
7
5
7
10
63
15
9,4
559
3.797
576
3.948
15
154
19
200
27
121
35
157
630
4,305
5,8
39,9
141
933
141
933
43
162
43
162
60
78
244
1,173
7.5
35,8
117
935
117
936
15
122
15
122
21
189
153
1,247
56
45,8
589
2.851
591
2,871
20
91
20
93
31
166
642
3,130
54
26,2
7,6
15.521
15,934
355
462
89
115
16,511
153,1
3.138
3.138
363
363
82
3,583
109,5
5.002
5.005
>alcd
ilN^UUll
244
244
5,338
196.0
16.923
16.991
151
154
96
17,241
118
52
53
85
87
258
38,4
19,810
20,940
1,328
1,727
1,021
1.323
23,990
222,5
6.061
6.062
722
8,664
6.719
6.725
626
627
607
7,959
292,2
21.056
21.296
,125
.149
629
23,074
193,3
lltirgia
1.586
633
640
815
834
3,060
4554
94,819
99.944
6.270
8.152
5.004
6,484
114,580
1.062.5
42.939
42.949
9,980
9,993
5.391
58,333
1.782.8
37.197
37.249
6.248
6,260
5.053
48,562
1.782,7
75.728
76.445
3,430
3,503
6.229
86,177
7220
Larcciiy-
8.733
4,065
4,108
1,883
1,927
14,768
2.197,6
234.281
250.954
22.055
28,676
9,619
12,463
292,093
2,708.5
77,276
77,298
22,756
22.787
5,284
105,369
3.220,3
86,11
86,260
19,967
20,006
7.641
113,907
4.181,6
183.739
186,187
12,584
12,850
6.582
205.619
1.7227
Mi>lor
vehicle
ihcfl
183
185
139
142
828
123,2
36.620
38.422
1.256
1.633
954
1,236
41,291
382.9
16,674
16,677
2.155
2.158
958
19,793
604,9
10.414
10.426
1,383
1,386
857
12,669
39.478
39.798
876
895
987
41,680
.149.2
59
Table 5. — Index of Crime, State, 1987 — Continued
Hopubliiin
Cnmt
total
Mild I Tied
Crime
Index
lolul'
Property
crime'
Murder
and iion-
negligont
slaughter
Foreihk
rape
Aggra-
valed
assault
Burglary
Lareeii)-
ihefl
Motor
vehicle
thefl
PUERTO RICO*^
Melropolilan Slatislica)
Area
Area actually reporting
Other elites
Area actually reporting
Total
Rate per 100.000
inhabitants
RHODE ISLAND
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100.000
inhabitants -
SOUTH CAROLINA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
SOUTH DAKOTA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually repoiling
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100.000
inhabitants
TENNESSEE
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100.000
inhabitants
Sec footnotes at end of table
2.600.71?
lOOOO'r
678.516
100.0'7r
3,279,000
2.062.666
lOO-OO-r
426.902
'J8,79'f
lOOOO'f
')35.432
\00 07r
3,425,000
')7,550
12.5'?4
110.144
3.358.8
922.764
99.4%
48.677
lOOO'Xf
48.856
6.1.236
lOOC?!-
.1,242
100.0'7r
17
986.000
52.115
5.28,V5
117.645
117.845
27,680
28.043
30,906
176,794
5,161.9
199.303
lOOOCf
8,960
168,759
94.0'7r
6,483
lOOOCr
6,896
340,938
49.19!.
1,537
loo.oc;
3,131
709.000
18,987
2,678.0
3,208,922
90.9<7r
182,875
100.0<7,
192,034
570,025
86.2%
18,342
100.0%
21,274
1,076,053
62.0%
8,187
100.0%
13,208
4,855.000
226,516
2,501
23,550
718.:
3,387
3,396
147
4
3,547
359.7
14.433
14,454
3,706
3.754
4.565
22,773
6649
529
1197
21,982
22,773
1,616
1,874
777
1.253
25,900
533.5
10,093
86,594
2.640.7
45,290
45,460
3,095
13
48,568
4.925.8
103.212
103,391
23,974
24.289
26,341
154,021
4.497.0
8.431
186
6,297
198
6.698
60
1,477
122
3,009
849
18,138
2.558 3
160.891
169.261
16.726
19,400
7,410
11,955
200.616
4,132.2
61
499
15.2
198
198
79
318
352
365
29
34
28
45
444
9.1
402
88
490
149
222
223
18
241
244
1,009
1,010
189
191
296
1.497
105
6
27
6
29
T
6
4
12
13
146
20.6
1.881
1.947
94
109
48
77
2.133
43.9
13.925
581
14.506
442.4
1,019
1.021
41
1,062
107,7
2,562
2.567
480
486
410
3,463
101.1
12.3
8.909
9,066
178
206
85
1.17
9,409
193.8
6,284
1,771
8,055
245.6
2,112
2,118
87
4
2,209
224.0
10,664
10,679
2.997
3.036
1.780
17,495
510.8
356
140
149
48
98
603
85.0
10,840
11,395
1,315
1,525
616
994
13,914
286,6
30,468
5,037
35,505
1,082.7
13.497
13,549
656
3
14,208
1.441,0
29,677
29,720
6.543
6.629
10,162
46.511
1,358.0
1,638
979
1,041
544
1,108
3.787
534. 1
51,510
54,391
4,802
5,570
3.515
5,671
65.632
1,351.8
28,516
4,155
32.671
996.3
24,337
24,436
2,190
9
26,635
2.701.3
66,810
66,937
16,270
16,484
14,471
97.892
2,858.2
5.095
5.420
878
1.789
13.673
1,928,5
85.094
89.887
10,621
12,319
3,256
5,253
107.459
2,213.4
17.517
901
18.418
561.7
7,456
7.475
249
I
7,725
783.5
6.725
6.734
1,161
1,176
1,708
9.618
280.8
329
223
237
55
112
678
95.6
24,269
24,983
1.303
1.511
639
1.031
27,525
566,9
60
Table 5. — Index of Crime, State, 1987 — Continued
I
TEXAS
MelrofHiluan Suiisiical
Area
Area aciually reponing
Olher Cilies
Area acluall) reporting
Rural
Area aciually reporting
Estimated totals
State Total
Rate per 100.000
inhabitants
UTAH
Metropolitan Statistical
Area
Area aciually reporting..
Olher Cities
Area actually reporting
Estimated totals
Rural
.\rea actually reporting
State Total
Rate per 100.000
inhabitants
\ERMO\T
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
VIRGINIA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
WASHINGTON
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
SUte Total
Rate per 100.000
inhabitants
See footnotes at end of table.
Popill.lll.
1.V572.25.1
lOO.O'-f
l,45').S8.1
100,0'^
1.756,S(>4
looorj
15,789.000
1,2').1,214
lOO.OCJ-
l')8,011
%.!)%
100.0"r
188.775
100,0'
1,680.000
105.165
lOO.O'J
I9I.07<)
100 0<rf
251.756
100.0'
548.000
4.220,778
100.0'
45.1137
100 0'
1.2M,085
1000'
5,904,000
-1.678.41')
WA9c
loco's
.173.410
87.l'7r
100.0%
486.171
81 O^r
1000-7,
4,538,000
1. rinic
InJcv
u<1al
1.182.8.11
75.IJ72
37,46,
37.708
1,296,519
7.7224
82.121
Moilific
CriiiK-
liidcv
lolal'
8.468
8.743
3,521
94.393
5,618 6
8,214
8,373
6,731
23,406
4.271 2
111.451
16.701
17.616
233,768
3.151.5
272.261
275.521
24.102
28.575
11.601
14.33
318,436
7.017.1
16.218
6.774
2.870
2.881
105,951
63 1 , 1
3.418
272
281
162
3,861
221.8
147
211
I'mptTU
tniiif'
302
748
136 5
14.874
961
1,571
17,414
2150
17,135
18.033
1.016
1,165
605
747
19.945
431,5
1,086.541
61,118
.14,512
34.811
1,190,558
7.011 3
78.703
8.116
8.462
3.367
90,532
5.388.8
8.147
8.074
6.437
22.658
4.134.7
184.577
15.740
16.037
216,354
3.664.5
254.325
257.496
23.886
27.410
11.004
13.585
298,491
6.577 6|
Miinlcr
.iikI iiitti
iifghgcii
niaii-
slaughk-
1.671
103
176
177
1,959
II 7
2.7
339
26
72
437
7.4
208
209
17
19
23
28
256
5.6
7.528
336
203
204
8,058
48 1
K.ihbtry
18
365
50
123
22.4
1,273
96
I
1,537
26.0
2,105
2.121
120
138
90
111
2,370
52.2
37.088
722
241
243
38,053
226.7
841
Agpra-
vau-ij
assault
1
887
52.8
16.8
5,936
152
156
6,244
1058
6,110
6,137
172
197
67
83
6,417
141.4
50,003
5.613
2.250
2.255
57,881
344.8
2.208
221
118
2,554
152.0
75
222
221
518
14.5
7.326
687
1.183
9,196
155
1.513
1,566
707
811
425
525
10,902
240.2
311,164
11,378
16,149
16,255
355,597
2,118.0
14,007
1.146
1.183
785
15.975
l.afLcny-
Ihcfl
1.133
1.703
2.449
6,085
1.110.4
39.484
2.837
5.321
47,642
806,9
73.824
75.105
5.409
6.207
4.143
5.115
86,428
1.904.5
648.385
46,845
16.257
15.364
711,594
4.238.5
61.674
6.747
5.966
2.398
71,038
4,228.5
5,907
5.168
3.610
15,485
2.825.7
Mm or
veil It It
ihcfi
118.192
2.975
2.186
2.200
123,367
734.8
3,022
303
313
184
3,519
209.5
307
403
378
1,088
198.5
131,803
13,290
12.200
703
9.587
1,029
153,690
15,022
2,603,2
254.4
164,522
15.979
156.276
16;114
17.508
959
20,091
1.112
6.281
572
7,764
705
194.131
17,932
4,277 9
315.2
61
Table 5. — Index of Crime, State, 1987 — Continued
M.Klincd
Murder
Area
Populalion
Crime
liidc\
loljl
C rime
Indcv
lolal'
Vinlciil
crimt;'
Priipcrlj
crime'
jnd nofi-
iicgligenl
man-
slaughler
Forcible
rape
Robbery
Aggra-
vated
ussaull
Burglary
Larceny -
Ihcfl
Mi.l.ir
vehicle
Iheft
Arson'
WEST VIRGINIA
Melropolilan Stalislical
Area . .
M.lOSb
Area actually reporting
100.0%
20.872
1,324
19,548
24
190
394
716
5,.363
12,814
1,371
Other Cities
320,760
Area aLtually reporting
100 0'?r
9,639
347
9,292
13
44
107
183
2,067
6,720
505
Rural
883,184
Area actually reporting
100 O'?^
11.047
934
10,113
55
195
90
594
4.020
4,902
1,191
State Total
1,897.000
41,558
2,605
38,953
92
429
591
1,493
11,450
24,436
3,067
Rale per 100.000
inhabitants
2,190 7
137.3
2,053.4
4.8
22.6
31.2
787
603.6
1,288.1
161.7
WISCONSIN
Metropolitan Statistical
Area
.1,207,475
Area actually reporting
'W.5'5i-
156,656
10,481
146,175
142
844
3.069
6,426
30.070
106,002
10,103
Estimated totals
100.0%
157,375
10,508
146,867
142
844
3.075
6.447
30.193
106,545
10,129
Other Cities
548,.120
Area actually reporting
<)8.5%
23,888
671
23,217
11
42
84
534
3.362
19,138
717
Estimated totals
100.0%
24,257
681
23,576
11
43
85
542
3.414
19,434
728
Rural
1,051,205
Area actually reporting
95.8%
17,999
790
17,209
14
64
31
681
6.604
9,653
952
Estimated totals
100 0%
18,793
825
17.968
15
67
32
711
6.895
10,079
994
State Total
4.807,000
200,425
12,014
188.411
168
954
3.192
7,700
40,502
136,058
11,851
Rate per 100,000
inhabitants
4,169.4
2499
3,919 5
3.5
19.8
66.4
1602
8426
2,830.4
246.5
WYOMING
Metropolitan Statistical
Area
141,120
Area actually reporting
100.0%
7,160
435
6,725
4
59
46
326
1,471
5.008
246
Other Cities
225,034
Area actually reporting
99.6%
9,910
667
9,243
2
67
39
559
1,317
7.624
302
Estimated totals
100.0%
9.946
669
9,277
2
67
39
561
1,322
7.652
303
Rural
123,846
Area actually reporting
100 0%
2,647
283
2,364
4
28
13
238
723
1,511
130
State Total
490.000
19.753
1,387
18,366
10
154
98
1.125
3,516
14,171
679
Rate per 100,000
inhabitants
4,031 2
283.1
3.748.2
20
31.4
20.0
229.6
7176
2.892.0
138.6
'Although arson data are included in Ihe irend 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
Properly crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the properly crime of arson.
■"Includes offenses reported by the Zoological Police
^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 guidehnes The 1*1X7 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by like agencies. Therefore, only the
state total is shown See "Offense Estimalion". page 4 for details
'The rates were calculated using ihe unrounded population,
62
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987
' ArNi>n IS shown .tnl\ il \2 nioiilhs oi arsoti d;il.i wltc received Leaders ( ,.) indlcule zero data I he MiKlified Crime index Inlal is llie sum nf llie Crime Index
otYenseN. ineltidnig arson
Cit> b> Slale
l'0|Mll,l
Crime
liKles
loMi
Modified'
Crime
hides
lol.ll
Murder
and noil
neghgenl
slaughter
lorsible
ra|K-
Aggra-
vated
assaull
l)lirglar>
l.areenv-
Ihen
Moliir
vehicle
Ihell
ALABAMA
Alabaster
Altwrtvillc
Annision
Athens
Aubum
Bessemer
Birmingham..
Cullman
Decatur
Dolhan
Enterprise...
Eufaula
Fairfield
Florence
Fort Payne
Gadsden
Homewotid
Hoover
Hueytown .
Hunlsville
Jasper
Leeds
Mobile
Montgomeiy
Mountain Brook
Northport
Opelika
Oxford
Ozark
Phenix City
Prattville
Prichard
Saraland
ScoiislH:iro
Selma
ShefTield
Sylacauga
Talladega
Troy
Tuscaloosa
Tuskegee
Veslavia Hills
ALASKA
Anchorage
Fairbanks
Juneau
ARIZONA
Apache Junction .
Bullhead City
Casa Grande
Chandler
Douglas
FlagslafT
Gilbert
Glendale
Kingman
i:.«s8
14..158
2"'..'i').l
15.W0
2<).')85
.12.27.^
282.171
12.615
4.1. .141
5.1.714
l').'»40
12.746
12.978
.16..173
11.82'J
45.522
22.167
30..178
16.685
164.65
12.564
10.761
204.800
1<)5.762
20.413
15.83')
24.686
10.559
15.023
27.446
21.280
39.114
10.297
14.036
25.864
10,993
12.998
19.779
12.726
74.389
12.867
17.431
231.039
66.461
24.579
15.865
19.560
16.481
71.204
14.571
40.894
13.537
131.323
11.231
20.'
382
3.424
493
1.853
2.469
27.796
570
3.119
4.154
1.485
521
1.211
2.099
502
2.769
2,014
1.595
420
12,737
740
359
21,623
10,106
451
1,128
2,454
588
970
1.866
883
3.913
543
578
2,817
625
510
766
883
6,106
1,538
525
13,746
2,472
1,115
1,391
1,654
1,564
4.946
1.074
3.755
805
1 2.0.W
1.753
202
3.455
2.486
28,041
3,145
1,485
522
1,214
1,597
12,820
361
21,669
10,151
451
1,133
975
632
526
13,910
2,491
1,405
1.662
1.587
5.181
1.079
3.771
813
12.122
1.769
23
311
9
10
4
24
6
4
1
68
3
2
127
16
154
39
4
.1
2
124
2
8
88
1,591
6
30
35
1
4
66
1
8
59
78
22
16
213
16
5
775
179
20
24
12
1
29
6
166
8
9
59
6
9
11
3
285
32
I
11
30
18
45
6
43
4
158
17
45
53
524
73
183
236
1,546
34
184
251
107
84
90
128
25
327
124
53
46
464
60
1
2,03
112
16
362
224
71
157
287
115
754
42
54
749
12
39
86
164
865
294
16
571
97
24
35
182
99
185
46
231
10
903
49
24
76
864
87
324
610
7,250
67
735
944
295
96
261
350
75
525
453
325
114
2,217
201
68
9,429
1,939
111
126
492
83
147
395
186
1,299
90
88
524
141
68
170
136
1,398
458
120
2,113
351
150
245
578
282
1,096
272
535
204
2,932
437
119
212
1,754
.W5
1. 261
1,336
13,726
425
1,984
2,818
1,014
330
677
1,461
349
1,646
1,199
1,046
220
9,219
361
225
8,280
7.268
305
588
1,665
386
605
1,040
530
1,489
385
388
1,402
431
375
457
563
3,376
726
354
9,491
1,728
882
1,015
687
1,108
3,354
669
2,758
542
7. 1 93
1.181
10
36
124
24
70
165
3.288
35
174
93
39
4
108
129
41
184
153
145
23
540
95
39
942
570
17
27
37
35
34
101
42
161
18
37
66
31
18
33
16
336
38
24
1.117
225
54
67
171
50
245
79
163
42
771
68
63
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily hy Slale
Population
Crime
Index
(olai
MmJiried*
Crime
Index
totjl
Murder
and non-
negligenl
man-
slaughler
Fcrtible
rape
Aggra-
>aled
av-vault
Burglary
Lareeiiy-
Ihefl
Mtilor
vehicle
ihefl
ARIZONA— Continued
Lake Havasu
Mesa . .
Nogales
Paradise Valley
Peoria
Phoenix
Prescotl
Scoltsdale
Sierra Vista
Tempe
Tucson
Yuma
ARKANSAS
Benton
Bentonville
Blytheville .
Camden
Conway
EI Dorado...
FayetieviIIe ...
Forrest City .
Fort Smith ...
Harrison
Hope
Hot Springs.
Jacksonville...
Jonesboro
Little Rock
Magnolia
Malvern
North Little Rock
Paragould
Pine Bluff
Rogers
Russellville
Searcy
Sherwood
Springdale
Stuttgart
Texarkana
Van Buren
West Helena
West Memphis
CALIFORNIA
Agoura Hills
Alameda
Albany
Alhambra
Anaheim
Antioch
Arcadia .
Areata
Arroyo Grande
Artesia
Atascadero
Atwaler
1<).080
262.428
18.432
ll.')82
933,177
22,461
116,001
30.613
142,450
374.546
49.306
18.347
1 1 .036
23.371
16.826
23.613
25.687
40.389
13,997
74.837
1 1 ,06b
10,221
37,187
29,856
30,259
182,290
11,812
10,221
63.982
16.011
61.747
21.438
19.726
14.248
15.557
26.352
10.543
22,395
12,809
10,805
28.003
17.471
74.466
15.728
73.502
246.815
51.356
48.947
14.569
14.190
15.318
21.398
20.424
880
16.840
1.189
491
2,179
83,960
1,562
6,545
1.246
11.122
42.316
4.977
501
483
2.209
1.196
1.540
1.441
2.164
1,640
6,849
274
614
3,930
1,627
1,553
22,227
171
435
6,071
712
4,453
927
1,389
608
647
1,594
368
3.244
895
281
2.106
492
4.293
782
3.997
17.306
3.817
2.255
820
640
537
861
952
883
16.976
1.189
492
2.180
84,434
1.573
6,570
1.248
1 1 . 1 60
42.562
5,004
503
484
2,241
1.198
1.541
1.445
2.170
1.652
6.896
274
615
3.934
1.635
1.554
22.367
171
439
6,082
714
4,482
932
1.395
614
648
1,603
368
3,254
896
281
2,121
500
4.317
784
17.399
3.905
2,261
820
642
541
870
958
3
9
1
111
96
1
6
503
2
19
1
82
281
32
222
21
3
14
2.287
13
113
9
190
911
74
5
90
19
24
776
3
6
159
8
102
10
135
35
144
659
86
56
4
8
39
4
10
107
966
41
26
87
5.280
55
126
12
398
2.308
356
10
4
259
429
102
69
71
220
394
3
10
223
96
10
1.896
18
515
25
403
6
61
21
29
54
133
65
151
65
511
510
146
129
49
53
93
66
73
190
3.356
416
265
531
21,185
220
1,2:
170
1,727
7,954
857
90
103
489
169
246
255
613
360
1,368
52
140
787
264
271
5.398
97
121
1,177
220
1,115
208
324
64
149
327
73
665
300
84
582
134
796
177
895
4.892
943
524
168
106
125
194
263
513
11.235
611
182
1.442
48.700
1,209
4,636
990
8,057
28.888
3.389
350
335
1.360
531
1.111
1.016
1.352
1.006
4,396
199
441
2,540
1,173
1,149
12,987
61
268
3,923
417
2.628
667
931
496
441
1,091
275
2,203
531
174
1.191
219
2,936
428
1,791
8,733
2,399
1,259
566
444
205
555
563
58
956
100
13
99
5,894
63
359
64
664
1,951
266
38
36
56
42
54
57
103
32
532
18
17
258
60
93
931
8
16
237
38
147
34
63
21
24
108
15
109
49
23
101
63
261
73
630
2,407
221
282
28
24
68
33
38
64
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Ciiy by Smc
Population
Cnmc
Index
total
Modified'
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Ihcfl
Motor
vehicle
theft
CALIFORNIA— Continued
Azusa
Bakersfield
Baldwin Park.
Banning
Barstow
Bell
Bell Gardens.
Bellflower
Belmont
Benicia
Berkeley
Beverly Hills.
Brawley
Btea
Buena Park .
Burbank
Burlingame ..
Calexico
Camaiillo
Campbell ....
Capilola
Carlsbad
Carpinteria..
Carson
Cathedral City .
Ceres
Cerritos
Chico
Chino
Chula Vista.
Claremont
Clearlake
aovis
Coachella
Colton
Commerce .
Compton...
Concord
Corona
Coronado
Costa Mesa .
Covina
Cudahy
Culver City .
Cupertino
Cypress
Daly City...
Danville
Davis
Delano...
Dinuba...
Dixon ....
Downey.
Duarte
Dublin
East Palo Alto.
El Cajon
El Centre
El Cerriio
.16.654
154.202
64.6.1-1
17.368
20.762
29,979
37.863
60.009
25.212
22,484
106,742
34.542
18.393
33,527
67,843
91.373
26.924
18,732
45,686
35,013
10,160
52,084
12,221
90,060
20,813
17,953
58,625
33,506
52,115
121,844
35.526
10,960
42,129
13,370
30,133
11,504
95,894
108,659
47,655
21,367
90,501
41.903
21,459
40,683
39,094
44,302
85,098
28,708
42.272
20,577
11,575
10,653
87,528
21.285
19,593
19,101
86,595
28,585
23,520
2,183
15,725
2,791
1,659
1.741
1.358
2.476
2,978
602
774
12.484
2.494
1.535
1.771
3,727
4,244
1,464
1,906
1,114
2,124
1.134
3.373
373
4,466
1,044
1,729
3,026
2,924
2,701
9,397
1,474
853
2,746
779
2,916
2,110
8,556
7,082
3,533
785
6,626
2,791
754
3,033
1,998
2,067
3,619
796
2,749
1,417
520
449
3,930
740
599
1,747
5,989
3,151
1,627
2,203
15,897
2,822
1,665
1,758
1,371
2.491
2,993
606
776
12,564
2.501
1.542
1,773
3,747
4.284
1.473
1.907
1.124
2.131
1,137
3,385
374
4,515
1,045
1,744
3,037
2,972
2,732
9,417
1,484
859
2,770
782
2,938
2,120
8,579
7,112
3,561
790
6,643
2,801
760
3,033
2,021
2,104
3,633
806
2,773
1,426
524
453
3,963
750
604
1,747
6,043
3,158
1,633
7
14
7
148
33
14
2
28
18
5
81
699
168
47
23
118
154
201
13
6
580
153
44
25
140
150
19
32
34
25
5
95
283
16
30
115
35
75
278
48
4
28
16
97
73
1.304
107
83
6
115
93
64
196
31
41
121
14
12
45
11
4
177
41
15
144
114
75
79
141
1,103
229
237
262
111
593
419
42
19
538
118
92
194
325
187
35
68
67
160
70
145
27
490
109
75
178
124
244
778
65
61
97
80
173
139
1,976
324
193
32
235
351
66
49
51
92
97
16
124
114
42
72
116
90
8
400
331
77
19
622
4,241
1,378
504
262
548
714
711
128
174
2,442
485
457
385
985
847
232
384
281
314
250
944
69
1,097
330
351
581
640
875
2,215
416
304
709
207
861
332
1,690
1,402
1,039
205
1,440
558
268
574
263
470
463
246
425
335
131
120
901
227
145
430
1,305
825
307
1,013
8,562
469
775
1,014
265
711
1,057
365
516
7,823
1,508
850
985
1,649
2,105
1,035
1,244
654
1,473
760
1,680
225
1,812
482
1,169
1,580
1,914
1,183
4,137
799
434
1.699
411
1.407
1,047
1,889
4,690
1,772
426
4,075
1,476
198
1,667
1.542
1,263
2,461
476
2,061
791
309
226
2,006
294
376
517
2,941
2,010
1,081
303
1,032
520
176
304
271
563
47
57
1,045
227
88
178
615
927
137
173
74
136
46
482
40
744
98
95
558
187
311
1,930
131
40
197
57
359
511
1,469
523
430
113
732
293
153
539
101
183
450
39
117
120
23
21
706
78
55
225
1.268
147
133
65
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Stale
Population
Cnme
Index
total
Modified'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
El Monte
El Segundo
Escondido
')'),062
15.512
85.662
25.509
70.488
11.176
18.670
56.811
26,688
56.790
157.462
291.855
111.499
50.515
138.259
28.226
157,544
42.231
10.499
11,145
25.529
12.795
62,347
104,086
27.354
10.847
19,091
11.104
16.435
188.261
56,400
29.959
105.142
90.676
20.803
23.089
19.132
49,377
77.757
53.150
42.713
65.136
16.271
34.829
28.739
27.119
12.201
55.150
45.184
12.447
20.465
31.907
406.297
12.180
28.390
3.341.726
13.575
28.472
57.303
5,797
1,117
6,615
3,083
5,391
382
626
5.259
949
3.062
6.701
32.090
6.698
3.301
10.045
1,523
8,593
1.470
464
307
1.400
724
4.804
7.295
2.668
286
989
145
943
8.741
4,050
4,332
7,662
3,742
461
640
1,005
2.775
3.516
3.391
1,322
3,741
528
1.840
1.050
1.614
499
2.444
3.320
818
820
1.987
31.364
600
731
288.509
763
1.125
3.251
5.863
1.125
6.641
3.103
5.419
389
628
5.283
953
3,079
6,836
32,260
6,737
3,326
10,106
1,552
8.697
1.480
466
309
1.411
731
4.905
7,349
2.690
291
989
145
953
8.775
4.053
7.757
3.775
463
645
1.010
2.798
3,532
3.401
1.326
3.764
531
1.856
1.055
1.624
500
2.461
3.331
825
820
2,009
31,519
612
731
294,083
764
1,145
3,306
12
1
4
1
2
1
7
64
5
29
14
27
1
3
52
4
17
37
196
50
13
63
8
28
12
1
1
8
7
30
33
10
1
11
385
34
155
45
109
7
10
183
7
87
129
1,096
148
358
431
27
227
38
12
4
30
64
391
243
45
2
26
767
58
304
432
323
94
50
468
37
57
923
2,048
268
293
458
162
373
234
37
10
69
115
423
353
319
17
51
13
101
287
298
302
800
72
43
9
53
87
326
123
122
437
33
293
49
213
21
157
133
57
99
89
1,910
25
51
34,661
20
38
692
1,592
203
1.409
763
873
95
181
1.264
137
597
1.526
9.103
1,601
771
2,458
277
1,809
340
222
146
265
186
936
1,581
607
85
268
48
213
2,253
844
1.040
1,909
908
158
184
321
600
652
738
340
996
131
501
307
456
127
541
624
270
223
460
7.147
177
209
52.927
203
242
767
1.799
650
3.791
1.706
3.694
167
343
2.671
722
2,007
3,600
16,682
3,745
1.209
5.265
949
4.822
716
152
127
960
276
2.065
4.576
1.465
154
482
84
551
5.157
1.072
2.525
2.055
2,459
207
406
525
1,738
1,687
1,779
606
1,775
254
566
547
570
316
1,580
2.278
389
364
1.299
14.366
331
441
114.643
501
745
770
1.178
166
923
122
363
18
38
614
42
297
485
2.932
884
654
1.360
100
1.328
127
40
19
67
75
955
506
218
27
151
66
8
26
20
Fairfield
28
7
Folsom
2
24
4
Fountain Valley
Fremont
Fresno
Fullerton
17
1
33
2
3
10
6
3
1
1
4
3
4
135
170
39
25
61
Gilroy
29
104
Glendora
10
2
2
11
7
101
54
22
5
I
6
6
5
30
2
1
9
40
13
16
100
11
1
7
9
11
28
11
7
42
1
20
8
11
1
18
10
7
2
10
221
4
2,169
7
42
18
199
312
149
973
29
13
8
29
79
185
92
41
104
15
140
30
103
6
23
43
24
36
28
2,467
14
6
26,192
17
->2
356
50
799
1.505
295
1.795
261
39
26
67
260
635
648
204
385
94
318
109
259
28
125
231
71
94
98
5.191
51
20
57.106
21
69
599
10
34
Huntington Park
3
Inglewood
Irvine
95
33
2
Lafayette
5
5
La Ha bra
23
Lakewood
3
2
2
2
2
1
62
811
1
2
25
16
10
La Mirada
4
23
La Palma
3
La Puente
16
Lawndale
Livermore
Lodi
5
10
1
17
11
7
Lompoc
Long Beach
Los Alainitos
22
155
12
Los Altos
Los Angeles
Los Banos
Los Gates
Lynwood
5.574
1
20
55
66
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City h) Siale
Population
Cnmc
Index
total
MiHlincd*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Roblicry
Aggra-
vated
assault
Hurglary
I.arccny-
then
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
Madera
26.493
35.454
37.095
27.816
28.144
11.217
26.626
27.970
48.209
20.721
13.216
45.235
136.300
33.957
26.175
56.134
30.799
62.388
16.148
15.512
21.705
10.232
62.532
58.195
58.841
38.366
68,427
92,326
46,876
10,232
365,983
101,646
117.210
103.286
17.707
10.089
130.190
37,894
16,845
31,794
57,364
14,959
28,031
25,765
43,831
133,183
14,518
10.417
39.535
55.714
10.683
15.287
42.282
39,217
29,200
45,471
118,461
25,089
20,598
77,675
1,328
1,841
2,596
804
1,430
1,260
823
1,681
3,686
583
524
3,131
10,471
2.057
2.809
3,382
2,380
2.703
320
311
743
410
3.652
4.011
5.543
2.565
3.917
3.948
1,531
819
44,535
6,536
9,206
6,580
355
1.140
7.859
1.253
584
3,729
3,455
273
2,219
522
2.873
8,437
956
1,615
2,000
2,245
327
892
3,017
1,394
1,886
1.499
9.325
3.323
637
3.476
1,335
1,853
2,612
812
1,436
1,266
827
1,689
3,715
585
526
3,150
10,534
2,068
2.819
3.406
2,397
2.704
322
311
750
411
3.676
4,024
5,557
2,568
3,924
3,976
1,539
825
44,995
6,559
9.494
6,632
357
1.142
7.901
1.259
586
3,781
3.460
274
2,228
523
2,893
8,525
957
1,615
2,028
2,273
332
892
3,036
1,424
1,892
1.512
9.656
3,333
639
3.489
8
2
2
1
1
1
2
1
2
7
2
8
1
1
1
6
1
1
4
1
114
12
14
4
1
2
4
2
4
2
1
10
14
1
2
2
4
1
1
35
4
3
1
12
11
10
10
9
7
5
9
14
2
1
23
62
12
21
20
16
9
I
5
4
13
19
31
4
23
32
4
4
538
63
55
21
3
10
70
6
6
35
14
1
14
4
14
62
5
6
14
16
58
48
33
20
17
26
80
53
85
17
5
56
246
113
147
171
72
181
2
3
2
2
65
32
313
48
42
222
29
6
3,176
257
369
175
4
13
339
14
9
107
72
1
68
8
222
471
12
49
31
137
10
19
170
30
30
13
676
64
29
70
252
58
76
37
42
80
97
168
129
17
14
657
398
121
138
243
181
133
37
6
37
17
161
446
244
155
182
533
88
103
2,657
695
919
243
8
78
467
219
55
431
54
20
329
34
435
611
74
204
162
362
10
54
450
116
35
36
1,069
84
52
291
354
377
846
173
382
214
192
387
838
104
137
531
2,338
486
728
791
450
594
102
103
178
100
589
855
882
372
1,003
1,050
365
161
10,793
1.610
2,667
1,648
88
324
2,023
229
116
1,015
591
81
599
176
738
1,896
272
483
533
564
73
176
1,068
424
385
312
2,636
1,459
193
1,267
530
1.113
1,475
511
831
839
282
979
2.386
401
347
1,665
6,640
1.105
1,322
1,461
1,555
1.135
150
191
494
271
2,651
2,475
2,690
1,865
2,360
1,464
988
517
22,448
3,082
3,953
3,766
240
606
4,371
676
377
1,830
2,555
155
955
267
941
4,253
532
737
1,170
761
221
552
1,073
669
1.325
1.053
3.541
1.512
320
1,432
114
234
154
53
147
93
166
84
232
41
20
197
780
218
445
695
106
651
28
g
25
16
172
184
1,377
120
306
643
56
28
4,809
817
1,229
723
n
107
585
107
21
307
169
15
252
32
513
1,130
61
135
88
403
13
80
214
146
108
78
1,303
188
34
382
7
12
16
8
6
6
4
Menio Park
8
29
Millbrae
2
Mill Valley
2
19
63
11
Montclair
10
24
17
1
2
7
1
Mountain View
24
Napa
13
National Cilv . . .
14
3
7
Norwalk
28
8
Oakdale
5
Oakland
450
23
288
Orange
52
2
2
42
5
2
52
5
Palos Verdes Estates
1
Palmdale
9
]
20
88
1
Petaluma
28
Pico Rivera
28
5
1
38
8
2
7
65
12
6
33
Pittsburg
19
Placentia
30
Pleasanl Hill
6
Pleasanton
13
331
Porterville
10
2
Rancho Cucamonga
13
67
Table 6.
■Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Slate
Population
Cnme
Index
total
Modined*
Cnme
Index
tola)
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
Rancho Palos Verdes
47,716
12,355
52,792
54,237
65,443
58,789
13,862
55,150
79,828
25,601
201,723
10,407
31,753
48,721
30,317
331,728
99,411
12,283
142,124
36,080
26,298
34,039
1.040,851
29,569
20,793
767,933
33,885
14,631
11,586
730,079
23,581
67.463
38.161
14.128
83.068
22,105
45,861
26,790
242,765
81,294
90,799
47,050
15,728
52,566
95,525
23,622
100,067
30,266
27,549
37,987
13,698
11,268
92.306
18.414
82.617
21.828
24.258
817
1.166
4.035
3.119
3,665
3,680
748
3,936
10,165
933
16,953
498
1,709
2,292
2,367
34,355
7,726
433
15,931
1,667
840
1,189
88,227
1,258
1,307
57,837
3
190
1,703
533
875
36,518
916
5,103
1,964
347
5.856
3.319
2.381
948
20.427
4,312
5,461
4,830
1,883
4,287
8,785
1,003
6,568
612
843
2,675
1,059
186
3,133
1.203
4.168
1.706
731
821
1.166
4.050
3.139
3,672
3,702
758
3,953
10,260
970
17,354
510
1,742
2,308
2,373
34,624
7,760
433
16.053
1.671
846
1.225
88.562
1.267
1.312
58.213
192
1.720
546
880
36.904
930
5.128
1,972
347
5,881
3,331
2,400
952
20,527
4,318
4,871
1,895
4,294
8,902
1.017
6.610
626
847
2.721
1.062
188
3.165
1.213
4.199
1.716
737
1
3
3
5
3
2
16
17
8
3
78
7
35
96
103
1
4
43
13
22
39
3
20
114
7
126
5
13
12
7
241
52
1
106
3
1
6
410
4
10
452
15
8
66
69
132
95
9
177
646
9
493
8
15
119
44
1,841
192
2
1,016
38
15
14
3,452
36
89
4,654
11
62
4
12
944
20
252
31
13
124
163
49
18
799
107
102
HI
64
85
436
40
143
7
33
177
35
3
52
65
347
47
26
61
99
362
192
110
433
125
265
1,466
60
1,554
22
77
243
119
1,676
633
42
1,268
92
67
41
5.154
187
180
4,089
22
293
133
121
3,017
59
166
48
14
1,153
237
102
16
658
365
242
250
115
179
437
71
251
12
90
610
163
16
190
129
652
104
65
304
147
1,010
951
899
520
147
1,267
2,303
249
5,128
136
571
597
510
8,800
1,739
108
4,147
192
155
264
17,370
361
278
9,642
32
421
117
241
6,434
276
1,080
383
112
657
657
497
191
4,300
809
1.034
1.022
454
991
1.478
264
1.509
183
224
456
261
82
827
366
1.107
513
225
359
871
2.270
1.621
1.880
2.330
442
1.654
4.657
541
7,857
288
950
847
1,530
17.856
4.689
271
7.468
1.195
564
717
43.590
540
515
31.172
121
701
233
427
22.259
442
3.210
1.364
194
3.558
1.940
1.538
667
11.507
2.543
3.623
3.161
884
2,819
5,095
579
4,203
385
412
1,230
504
69
1,638
372
1,199
938
292
77
36
281
270
617
260
22
551
963
67
1,778
39
83
466
154
3.863
414
9
1,891
147
38
147
18,155
130
234
7,725
3
4
216
46
66
3,447
106
373
127
14
336
313
180
51
3,045
440
416
256
351
195
1,269
39
412
20
78
174
89
15
389
261
827
87
123
4
Red Bluff
15
Redlands
20
Redondo Beach
Redwood City
7
22
Reedley . . .
10
Rjalto
17
95
37
401
Rocklin
12
33
16
6
269
34
122
4
6
36
San Diego
335
9
5
376
San Francisco Highway Patrol
2
8
17
13
24
5
393
13
17
9
5
San Jose ...
386
San Juan Capistrano
14
25
San Luis Obispo
8
27
7
15
5
87
43
41
28
10
17
62
9
48
5
5
24
5
1
34
7
28
14
25
12
19
San Ramon
4
31
100
Santa Barbara
6
41
Santa Fe Springs
12
7
Santa Monica
117
14
42
14
Seal Beach j
Seaside
4
46
3
2
Simi Valley
South El Monte
South Gate
32
10
31
South Lake Tahoe
10
South Pasadena
6
68
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Slalc
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Korcibic
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CALIFORNIA— Continued
South San Francisco
Slanlon
Stockton
Suisun City
Sunnyvale
Temple City ,
Thousand Oaks ,
Torrance
Tracy
Tulare
Turlock
Tustin
Twin Cities
Ukiah
Union City
Upland
Vacavillc
Vallejo
Ventura
Victorville
Visalia
Walnut
Walnut Creek
Watsonville
West Covina
West Hollywood
Westminster
Whittier ,
Woodland
Yorba Linda
Yuba City
COLORADO
Ai^ada
Aurora
Boulder
Brighton
Broomfield
Canon City
Colorado Springs
Commerce City
Denver
Durango ,
Englewood
Fort Collins
Fountain
Golden
Grand Junction
Greeley ,
Lafayette
Lakewood
Littleton
Longmont ,
Loveland ,
Northglenn ,
Pueblo
Sterling
Thornton
52.85.1
28,585
188.067
17,348
1 14,964
.11.866
98,714
138,997
26.934
27.498
34.818
43.031
20.065
13.513
52,012
58.605
56,298
95,617
87,856
23,469
63,106
21,305
60,132
28,923
99,339
38,684
75,081
74,497
35,259
40,816
22,105
92,129
219,945
77,166
14,670
24,649
13,843
275,106
17,284
509,529
13,429
30,763
74,805
10,806
14,761
32,731
57,431
13,964
123,236
32.560
51.114
35.828
29,744
102,148
11,472
50.448
2,162
1.784
18.844
1.042
3.977
839
3.171
7.104
1.721
1.318
2.619
3.871
845
1,287
2,683
3,257
2,326
10,448
4,687
3,411
5,093
648
2,794
3,243
5.487
3.912
4.393
2.849
2,543
964
2,794
3,712
18,020
5,596
898
1,045
635
22,826
1,850
46,184
1,114
3,608
5,019
594
792
2,628
5,106
526
9,311
1,669
3,463
1,804
2,315
7,001
620
3.441
2,215
1.811
18.932
1.082
4.015
840
3.198
7.242
1.728
1..121
2.680
3.914
849
1.292
2.706
3.272
2,338
10,492
4,733
3,425
5,112
653
2,809
3,258
5,558
3,943
4,407
2,873
2,560
977
2.803
3,739
18,112
5,625
910
1,064
639
22,987
1,861
46,630
1,115
3,627
5,064
598
795
2,645
5,209
535
9,379
1,683
3,481
1.815
2.332
7.044
622
3.448
107
7
23
2
21
27
4
15
15
10
16
118
13
2
3
1
167
9
401
12
12
38
3
2
9
27
27
4
26
13
9
64
3
19
39
74
806
43
82
30
52
304
18
51
49
60
13
7
91
84
38
430
145
106
139
9
35
94
218
290
192
99
53
9
23
44
524
46
7
11
1
510
31
1.612
7
49
41
2
2
19
40
1
163
20
17
7
25
128
2
73
102
77
875
109
132
75
237
278
64
139
116
586
12
136
143
90
119
1.864
212
362
262
52
140
228
241
322
118
127
215
117
471
391
2,038
124
45
47
4
698
69
1.749
23
87
282
18
19
54
266
75
379
32
156
75
67
770
37
372
937
4,689
264
665
224
834
1,589
334
581
641
813
189
327
729
934
375
2,437
1,129
869
1.278
230
563
745
1,150
885
1,107
727
720
292
415
996
3.998
931
137
221
150
5,925
363
13,704
150
601
856
135
158
424
1,013
82
2,070
365
658
260
394
1.532
93
834
1,434
428
11,022
556
2,725
399
1,803
3.643
1.193
442
1.688
2.073
583
752
1.497
1.763
1.608
4.798
2.836
1,615
3,059
253
1,858
1,957
2,697
1,693
2,237
1,480
1,384
468
1,713
2.090
10.100
4.217
655
713
469
13.878
1.255
23,174
896
2,605
3,646
409
572
2,016
3,612
353
6,099
1,144
2,480
1,371
1,684
4,191
490
2.183
199
259
1,312
60
345
108
222
1.260
108
89
109
327
48
64
206
362
160
856
337
435
319
102
181
204
1.147
690
711
394
147
74
165
173
1.222
264
52
50
10
1.633
117
5.465
26
254
154
26
38
104
144
14
568
104
126
77
135
309
24
294
69
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Stale
Population
Cnme
Index
total
Modified'
Critne
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
COLORADO— Continued
67.389
30.320
19,113
13.574
16.213
17.552
19.777
25.427
142.852
59.352
14.420
24.299
12.829
11,288
64,981
18,196
12,124
25,487
43.180
53,038
17.955
26.564
58.678
10.291
40.008
19.294
52.051
138.945
15,800
50,058
58,728
39,122
49,594
16,233
30.723
72.544
17,784
124,313
29,273
28.800
21.872
21.429
12.678
22.416
77.760
38.276
13.121
13.705
17,512
11,168
21,811
15,931
13,675
35,084
22.345
39.323
4.676
2.130
487
287
371
248
1.182
648
13.221
1.833
254
494
275
314
2.827
543
413
952
1.873
1.862
952
683
2.046
410
1.344
612
2.522
22.854
325
2.027
2.428
2,248
2,205
282
621
5.543
332
16,057
949
2,393
552
220
177
731
5.555
1.838
924
159
611
250
222
537
274
516
339
1.219
4.703
2.145
493
288
371
249
1.186
649
13.290
1,834
254
500
280
314
2.829
543
414
972
1.899
1.871
952
685
2.052
414
1,346
612
2,527
23,149
326
2.027
2.467
2.239
287
630
5.552
16,116
950
2.406
554
221
177
737
5.574
1.848
924
160
612
251
223
544
274
518
342
1.230
1
2
1
1
1
37
9
13
1
2
2
4
5
3
58
6
1
2
55
47
33
3
3
27
5
983
19
2
3
5
1
47
11
5
15
40
30
8
4
8
4
13
66
1.433
5
16
53
39
57
2
5
263
1
1,015
10
90
4
2
12
167
47
7
2
15
1
1
12
4
5
2
16
187
98
17
9
2
6
22
9
732
121
10
4
5
3
33
3
7
21
34
12
6
24
22
15
45
44
23
1.380
7
25
35
82
24
8
31
231
1
1.020
17
77
23
6
3
10
72
78
33
5
6
6
7
8
28
5
20
37
1.040
529
118
52
84
46
260
76
3,760
613
59
102
85
55
582
138
107
222
318
470
152
119
214
124
226
160
493
5.765
106
457
736
430
414
76
142
1.463
93
3.995
196
640
151
98
52
143
1.388
375
71
43
165
62
61
137
71
91
76
336
3.060
1.322
268
214
244
180
731
479
5.499
956
154
360
170
234
1,885
349
252
619
1.274
1.101
706
509
1,623
240
974
384
1,648
11,422
197
1,393
1,370
1,496
1.277
179
385
3.142
223
7.713
692
1.393
312
101
113
495
3.252
1.212
733
91
382
147
144
328
139
333
216
743
324
119
49
10
36
9
136
75
2,152
118
28
23
10
21
262
40
40
74
206
246
80
26
177
23
64
23
283
2,706
9
120
220
181
422
16
57
402
14
2,158
33
179
59
14
7
70
661
112
80
17
42
26
8
48
30
80
24
84
27
Wheat Ridge
CONNECTICUT
15
6
1
Bethel
1
Bloomfield
4
1
69
Bristol
1
6
5
1
2
1
1
17
2
1
1
2
2
4
21
1
7
124
1
14
11
19
8
I
35
133
1
12
3
1
2
1
20
Enfield
26
9
Glastonbury
2
6
4
1
2
24
2
Guilford
5
295
1
2
3
1
3
1
7
23
2
39
Milford
34
5
9
9
59
Newington
1
13
New Milford
2
1
North Haven
5
1
1
1
1
1
10
13
1
8
3
2
1
1
3
6
19
Norwich .
10
Orange
1
Plainville
1
1
Ridgefield Town
1
Rocky Hill
7
Seymour
Shelton
2
Simsbury
3
Southington
11
70
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Ciiy by Slate
Population
Crime
Index
total
M(xlin«l'
Cnmc
Index
lolul
Murder
and non-
negllgcnl
man-
staughler
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CONNECTICUT— Continued
20,553
101.787
16.777
50.722
10.906
31.307
33.412
28.820
39.484
103.015
17.904
19,787
58,053
53,653
25,255
26,091
15,076
16,082
26,625
11,953
12,950
23,065
24,612
622,000
29,865
16,559
17,507
60,255
44,210
38,567
11,421
51,707
19,937
100,428
19,690
12,790
21,122
16,292
43,098
62,263
12.739
38.606
59.781
45.322
18.990
45,672
32,985
11,977
12,255
153.051
436
7,095
676
2,479
153
1.069
982
958
1.227
7.723
673
475
2.685
2,337
1,262
720
1,199
185
971
388
368
2,337
1,842
52,519
2,688
2,038
2.435
3.326
4.778
4.759
537
2,362
1,036
8,511
1,784
1.132
754
634
5.759
2.238
2,372
2,585
9,525
2,815
2.701
5.502
1.570
561
622
22,012
437
7,141
677
2,507
153
984
960
1.230
7.754
677
475
2.694
2.367
1.262
723
1,206
185
971
388
372
2.346
1.855
52.826
2.692
2.042
2.482
3.338
4.798
4.765
2,365
1,037
8,538
1,132
758
639
5,774
2,241
2,376
2,603
9,546
2,822
5.517
1.578
627
22,084
4
1
2
7
1
1
1
3
29
4
20
4
4
6
37
1
2
3
16
1
4
8
12
4
1
307
6
44
1
9
6
10
8
245
8
6
79
69
9
19
17
1
18
6
3
64
16
4,462
90
55
100
99
220
151
9
11
15
243
116
13
4
4
201
21
151
71
384
124
93
217
21
7
28
1,198
30
248
2
44
4
148
9
118
7
185
15
7
25
120
7
43
32
19
21
9
92
82
5,084
84
188
301
87
514
387
18
64
34
530
159
161
24
24
122
77
115
107
749
157
155
310
83
29
60
537
110
1,508
146
644
41
151
94
225
254
1,908
103
75
549
603
263
107
336
46
238
45
108
352
287
11,241
591
458
522
969
1,257
1,339
61
683
303
1,943
528
214
187
210
1,009
437
564
723
2,812
687
746
1.554
443
167
99
6,162
253
4,081
479
1,442
95
664
741
548
820
4,634
501
362
1,762
1,154
869
485
748
124
589
275
230
1.742
1,345
24,965
1,759
1,251
1,386
1,922
2,414
2,613
430
1,492
617
5,330
892
683
468
362
3,721
1,580
1,171
1,410
4,959
1,609
1,620
3,013
961
326
401
11,466
39
918
43
300
10
77
128
53
132
707
45
23
266
374
112
62
58
14
95
37
18
62
100
6,297
146
78
114
236
346
237
15
107
64
408
83
58
61
28
699
114
350
265
533
209
76
376
59
30
29
2,495
1
46
1
Stratford
28
SufTicld
2
2
Wallingford
3
31
4
9
West Haven
30
Weihersfield
3
7
Windsor
Wolcott
4
DELAWARE
25
12
245
14
6
9
10
24
27
3
1
3
52
6
2
8
5
4
9
17
5
75
24
9
28
2
2
5
101
9
13
DISTRICT OF COLUMBIA
225
4
2
3
3
3
5
4
5
1
2
1
3
4
4
13
5
2
4
1
53
307
FLORIDA
Altamonte Springs
Bartow
4
4
Belle Glade
47
12
Boynton Beach
20
6
3
1
27
Cocoa
Cocoa Beach
4
Cooper City
Coral Gables
5
15
3
Dania
4
18
Daylona Beach
21
7
Delray Beach
15
8
Edgewaler
5
Fort Lauderdale
72
71
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Populatiofi
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbei7
Aggra-
vated
Burglary
Larceny-
theft
Motor
vehicle
theft
FLORIDA— Continued
Fort Myers
Fort Pierce
Fort Walton Beach
Gainesville
Greenacres City
Gulfport
Haines City
Hallandale
Hialeah
Holly Hill
Hollywood
Homestead
Jacksonville
Jupiter
Key West
Kissimmee
Lakeland
Lake Worth
Largo
Lauderdale Lakes
Lauderhill
Leesburg
Lighthouse Point
Longwood
Margate
Melbourne
Miami
Miami Beach
Miami Springs
Miramar
Naples
New Port Richey
New Smyrna Beach
Niceville
North Lauderdale
North Miami
North Miami Beach
North Palm Beach
Oakland Park
Ocala
Ocoee
Opa Locka
Orange Park
Orlando
Ormond Beach
Palatka
Palm Bay
Palm Beach
Palm Beach Gardens
Palmetto
Palm Springs
Panama City
Pembroke Pines
Pensacola
Pinellas Park
Plantation
Plant City
Pompano Beach
Port Orange
40,709
37,990
23,572
87,709
24,417
11,863
13,264
37,856
166,583
11,359
124,515
22,944
629,887
22,646
26,034
26,621
63,735
28,196
64,281
28,258
43,767
14,397
11,606
12,965
40,791
58,432
385,089
97,833
12,286
38,052
20,071
14,016
15,458
11,709
23,758
43,922
36,919
12,595
25,869
46,465
12,008
14,984
10,720
150,250
29,082
10,731
47,021
11,493
22,574
10,082
10.010
36,692
50,626
65,723
41,883
57.546
19.608
68.730
30.483
5.589
7.470
1.847
9.575
959
903
1.135
3,153
15.478
1.265
13.188
3.933
74.227
1.367
3.446
3.050
7.039
3.573
3.813
1.596
2.873
1.515
415
964
1,524
6,076
58,791
13,753
1,425
1,515
1,600
1,049
1,369
264
1,100
5.143
4.345
703
4.180
6.758
556
2.914
731
18.884
1.658
1.556
2.747
695
1.313
1,367
396
3,275
2,802
4.876
3,358
5,171
2.823
11.648
938
5,596
7,483
1.851
9.593
959
904
1.136
3,156
15,540
1,265
13,239
3,949
74,718
1,371
3,449
3,058
7,057
3,577
3,830
1,598
2,882
1.524
415
968
1,529
6.086
58.981
13.781
1.427
1.523
1,603
1.054
1.370
266
1.101
5.154
4.350
703
4.192
6.780
560
2.926
731
19,004
1,560
2,765
695
1,316
1,367
397
2,817
4,881
3,370
5,178
2,827
11,671
938
1
5
12
1
7
5
147
1
3
128
15
2
25
39
13
60
5
1
5
20
30
3
38
24
609
1
21
24
42
22
17
17
13
20
1
2
15
22
202
35
1
6
5
2
1
1
10
12
9
3
16
46
6
6
3
181
277
334
28
299
18
37
36
276
771
31
559
204
3.876
14
104
71
248
104
57
88
151
55
8
19
49
137
5.594
725
52
105
29
2
32
1
19
351
289
14
192
207
9
142
23
1.029
38
64
28
6
24
31
2
79
49
109
41
124
122
676
9
325
832
109
895
23
53
66
256
806
53
496
218
4.945
37
139
366
401
231
311
76
151
82
2
124
66
509
5.385
372
49
80
61
59
39
4
54
173
230
20
156
367
32
505
18
2.174
76
120
121
10
62
154
14
99
148
392
106
325
237
1,209
34
1,373
1,987
448
2.888
239
198
392
605
3.174
357
3,052
1,163
20,745
321
979
728
2,185
1,116
932
368
605
376
86
227
370
1.247
11,875
3.219
337
591
319
214
295
94
294
1,368
857
275
752
1,928
124
621
171
4,515
317
394
761
102
230
251
54
694
754
1,134
683
868
808
2.964
165
3,195
3,893
1.180
5,032
585
565
567
1.673
7.842
766
7,915
1,796
38,820
886
1,986
1.720
3.840
1.772
2.382
860
1,691
920
286
556
920
3.965
27,548
7,771
806
554
1,125
716
947
146
677
2,500
2,466
337
2.649
3,937
350
1.328
487
9.853
1.154
933
1.723
550
917
869
283
2.246
1.627
3,021
2,364
3,358
1,531
5,694
696
379
368
67
393
89
49
68
318
2,843
54
1,121
523
5,085
108
215
140
313
324
113
186
261
61
32
36
103
193
8.059
1.616
178
179
57
55
53
18
45
734
490
53
415
260
35
304
29
1.105
64
41
91
22
72
53
40
115
211
181
160
488
108
1,017
33
72
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Populalion
Crime
Index
total
Modiried*
Ciitnc
Index
totui
Murder
and non-
negltgent
man-
slaughter
Forcible
rape
RoblKry
Aggra-
vated
assault
Burglary
Larccny-
Ihefl
Motor
vehicle
theft
Arson'
FLORIDA— Continued
Port Saint Lucie
36.353
10.000
28.608
14.613
12.914
12.626
11.441
246.548
30.462
53.036
10.144
10.741
12.358
10.875
11.112
54.313
10,041
123,012
35,621
285,856
16,426
12,811
43.201
15.499
18.248
70,614
12,718
24,499
24,036
19,237
86.588
16,421
43,931
429,953
46,316
11,110
19,122
183,654
11,385
12,914
18,826
12,537
16,889
38,315
11,151
18,612
16,614
16,798
120,703
43,635
14,117
15,707
31,506
149.631
12.761
1.314
462
5.627
1.117
596
1.383
671
26.500
3.331
5.816
361
794
623
1.274
1.481
2.290
427
14.261
1.591
49,350
1,511
936
2,539
653
1,716
15,007
897
2,954
2,005
409
7,737
895
2,434
66,891
3,430
596
1,559
9,465
1,362
1,046
1,681
988
1,199
4.196
548
1.987
1.555
1.450
9.906
5.015
1.062
1.233
2.254
11.704
533
1.320
462
5.640
1.119
597
1.387
674
26.631
3.341
5.834
361
798
625
1.275
1.482
2.300
428
14.287
1.597
49,578
1,515
937
2,550
655
1,716
15.032
898
2,960
2,008
409
67,171
3,442
602
9,502
549
1,560
9,937
11,766
1
7
12
2
61
6
2
7
4
157
36
67
2
1
5
3
5
2
96
5
297
14
1
15
3
5
63
2
14
257
22
7
61
6
1,567
131
238
2
17
22
71
25
47
15
429
41
3,427
33
29
65
8
22
1,015
40
101
59
1
447
15
122
5,100
182
15
27
296
37
19
68
29
31
159
20
96
35
18
203
156
12
61
42
603
4
13
11
500
17
35
65
18
1,977
245
274
10
61
24
87
132
111
15
982
28
5,114
89
18
144
66
200
796
14
143
134
54
596
72
213
6,950
108
63
97
313
150
66
64
76
124
287
31
66
32
68
345
211
71
70
88
354
9
418
73
2,101
230
191
297
217
7,526
937
1,540
69
179
162
346
368
532
114
3,608
444
13,245
496
189
760
90
384
4,794
210
723
383
112
2,562
220
881
14.927
1,194
142
372
2,354
340
169
491
184
258
1,130
129
435
281
288
2.195
1.069
286
406
705
3.363
84
832
330
2,169
814
343
907
393
14,124
1,829
3,424
271
509
376
631
901
1,445
205
8,352
1,006
24,261
817
670
1,403
469
1,038
6,292
564
1,842
1,342
216
3,649
552
1,068
31,559
1,714
349
966
5,888
776
744
815
630
727
1,998
349
1,173
1,113
991
6,453
3,016
649
637
1,281
6,898
412
36
32
532
28
IS
46
33
1,121
148
265
7
25
33
134
50
151
77
786
67
2,945
61
29
151
16
67
2,014
67
119
78
23
380
26
117
7,512
198
22
86
524
45
36
223
55
45
586
16
20S
89
70
633
521
33
47
124
403
21
6
13
Rockledfic
2
Safety Harbor
Saint Augustine
1
28
5
8
4
Saini Cloud
Saint Petersburg
3
131
10
18
2
1
2
4
2
1
Stuart
2
1
8
61
1
1
1
33
2
2
2
1
18
7
207
8
19
14
24
10
1
Tallahassee
26
6
228
4
1
11
2
West Palm Beach
25
1
24
7
2
85
10
26
636
26
4
9
71
11
9
19
12
U
34
3
6
3
14
63
40
10
6
8
59
3
6
Winter Park
3
GEORGIA
Albany
Americus
Atlanta
280
12
Carrollton
6
37
Cordele
Douglas
Fn« Pnint
1
Forest Park
Gainesville
5
Macon . ..
31
Milledgeville
Moultrie
Rome
Savannah
62
Snellville
73
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Stale
GEORGIA— Continued
Thomasville
Warner Robins
HAWAII
Hilo
Honolulu
IDAHO
Blackfoot
Boise
Caldwell
Chubbuck
Coeur D'Alene
Idaho Falls
Lewiston
Moscow
Nampa
Pocatello
Rexburg
Twin Falls
ILLINOIS'
Addison
Alsip
Alton
Arlington Heights
Aurora
Harrington
Bartlett
Batavia
Belleville
Bellwood
Belvidere
Bensenville
Berwyn
Bloomingdale
Bloomington
Blue Island
Bolingbrook..
Bourbonnais
Bradley
Bridgeview
Brookfield
Buffalo Grove
Burbank
Cahokia
Calumet City
Canton
Carbondale
Carol Stream
Carpentersville ,
Centralia ,
Centreville ,
Population
18,867
46,500
38,836
832,614
10,035
107,903
18,487
11,966
24,579
42,638
27,606
17,710
28,123
44,221
12,185
27,625
30,790
18,263
33,056
70.385
85,600
10.250
15.947
13,881
42,965
21,794
15,596
15,987
45,142
13.640
46,385
22.807
37,680
13.459
11.012
14,613
19,076
27,129
28.614
18.334
39.937
12,486
24,241
22,094
25,033
14,371
10,160
Cnme
Index
total
1,527
3,458
2,269
48,949
338
7.446
1,480
480
1,991
2,583
1,379
841
2,415
2,572
656
2,015
Modified'
Cnme
Index
total
3,465
2.275
49.371
338
7,499
1.480
480
1.998
2.591
1.388
842
2.428
2.576
656
2.024
Murder
and non-
negligent
man-
slaughter
Forcible
rape
15
322
17
985
28
12
83
15
174
Aggra-
vated
assault
64
172
37
915
12
333
58
2
69
47
34
17
52
69
4
56
36
24
175
43
325
25
21
9
169
41
52
9
20
23
Burglary
404
965
477
9,136
100
2,016
318
24
356
519
330
122
386
412
39
366
331
178
631
436
1,617
47
122
89
442
266
115
169
319
114
668
206
309
88
160
133
89
104
215
204
374
114
290
167
229
226
107
Larceny-
theft
971
2,009
1,625
34,239
204
4,671
1,028
449
1,483
1,879
937
660
1,868
2,005
603
1,500
1.118
454
1.789
1.648
3.627
324
475
337
972
541
663
751
844
888
2.245
514
489
362
500
546
263
582
851
749
1.673
262
1.115
737
896
650
31
Motor
vehicle
theft
34
194
93
3,316
18
314
54
5
54
113
69
33
86
61
7
76
82
179
99
135
266
7
18
12
71
190
21
71
292
72
107
224
104
18
30
79
32
18
83
25
732
12
36
40
31
30
See footnote at end of table.
74
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Stale
Populalion
Crimf
Index
(olal
Moditled*
Crime
Index
lolal
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ILLINOIS' —Continued
Champaign
Charleston
Chicago
Chicago Heights
Chicago Ridge
Cicero
Collinsville
Country Club Hills
Crcstwood
Crystal Lake
Danvtile
Darien
Decatur
Deerfteld
De Kalb
Des Plaines
Dixon
Dolton
Downers Grove
East Moline
East Peoria
East Saint Louis
Edwardsville
EfTingham
Elgin
Elk Grove Village
Elmhurst
Elmwood Park
Evanston
Evergreen Park
Fairview Heights
Forest Park
Franklin Park
Freeport
Galesburg
Geneva
Glendale Heights
Glen Ellyn
Glenview
Glenwood
Granite Cily
Hanover Park
Harrisburg
Harvey
Hazel Crest
Herrin
Hickory Hills
Highland Park
Hinsdale
Hoffman Estates
Homewood
Jacksonville
Joliet
Justice
Kankakee ,
Kewanee
La Grange
59,353
18,'>15
3.018.338
35.644
14.242
61.780
20.710
15.485
11.865
20,520
36,767
16.438
90.624
17.070
31.662
56.334
14.522
23,980
42,524
20,821
21,362
49,615
13,138
11,393
72,311
32,314
42,534
23,288
71.779
21.071
11.915
15,335
18,193
25.906
31.923
10.922
24.963
24,822
34,601
10,430
35,253
31,392
10,691
35,474
13,820
10,531
14,302
30,670
16,107
41,611
19,026
19,848
76,232
10,902
27,300
13,1
15,315
691
5
203
1
29.879
77
2
99
8
2
1
4
102
2
172
I
10
14
25
11
10
2
522
3
97
II
18
15
143
20
10
79
13
23
21
2
3
4
4
1
15
16
6
266
4
5
5
3
12
7
6
258
4
164
2
10
421
8
34.194
218
6
789
26
19
4
10
210
4
363
1
22
58
2
18
30
32
15
1.396
18
15
189
33
23
4
185
5
12
33
48
131
47
4
18
13
17
5
69
54
1
118
31
25
12
36
12
36
549
16
407
17
14
1.175
106
51.005
384
132
1,118
279
128
6
42
563
81
1,714
19
194
375
92
227
352
199
157
1,701
85
115
1,390
238
193
69
1.469
99
98
144
171
225
355
88
93
177
119
64
488
262
146
1.694
145
90
33
93
277
61
346
1.746
86
915
109
105
3,468
244
1 19,072
1,067
604
803
743
292
149
587
2,000
181
4,731
396
1.153
1.321
426
907
1,185
555
421
1,018
376
446
2,484
809
828
212
3,424
1,009
889
773
753
1,062
1,289
219
572
493
565
242
1,262
820
339
1,950
360
256
245
667
225
989
698
875
4.533
260
1.892
483
329
264
7
39,693
160
112
600
76
47
57
15
84
27
171
7
56
137
13
158
103
24
14
605
15
25
192
92
87
180
252
166
54
201
81
31
27
7
39
45
28
57
76
43
1
975
94
15
29
42
13
67
85
21
504
66
241
19
27
See footnote at end of table.
75
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Cnmt
Index
total
Modined*
Cnme
Index
total
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
ILLINOIS'— Continued
La Grange Park
Lake Forest
Lake Zurich
Lansing
Liberty ville
Lincoln
Lincolnwood
Lisle
Lombard
Loves Park
Macomb
Marion
Markham
Matteson
Mattoon
May wood
McHenry
Melrose Park
Midlothian
Moline
Monmouth
Morton
Morton Grove
Mount Prospect
Mount Vernon
Mundelein
Murphysboro
Naperville
Niles
Normal
Norridge
Northbrook
North Chicago
Northlake
Oak Forest
Oak Lawn
Oak Park
O'Fallon
Orland Park
Ottawa
Palatine
Palos Heights
Palos Hills
Park Forest
Park Ridge
Pekin
Peoria
Peru
Pontiac
Prospect Heights
Quincy
Rantoul
Richton Park
Riverdale
River Forest
River Grove
Rock Falls
12,777
16,247
10,511
28,995
17,451
15,325
11,985
16.117
38.001
14,292
18,183
14,492
15,345
12,015
19,206
27,350
13,590
20,981
14,482
44,630
10,039
13,469
23,719
54,790
17,521
17,962
10,049
61.439
29.566
36,898
15,666
32.013
43,316
12,326
25,093
58,410
54,479
14.713
29.336
17.942
39.626
10.631
17.020
25.966
37.530
31.372
110.613
10.330
11.092
13.540
39,716
20.751
10.290
12.547
11,734
10.210
10.671
17
13
4
9
35
7
7
217
3
48
10
17
5
1
7
15
14
3
4
5
II
9
9
2
77
3
12
24
331
10
8
2
11
2
12
9
11
182
6
1
14
16
21
13
II
12
29
23
12
24
49
13
7
260
14
30
15
78
15
9
16
39
18
17
37
32
10
37
19
2
96
8
19
36
83
13
10
13
16
5
28
18
66
972
11
7
16
83
26
5
24
5
16
10
56
14
51
247
52
152
57
104
325
256
131
216
506
79
92
701
36
91
143
395
152
53
104
262
332
93
66
350
62
363
97
109
297
91
139
125
996
120
95
85
183
28
58
178
261
277
2.402
40
68
152
693
110
69
213
90
66
78
108
175
304
1,035
471
551
326
452
1.514
776
467
474
229
902
181
1.142
388
877
470
1.497
447
205
546
1,237
777
659
389
1.669
601
1.062
623
676
1.194
229
606
1.077
2,295
281
947
477
889
160
204
782
631
942
5,949
290
356
368
1,867
434
261
307
244
309
179
14
7
13
224
22
29
46
20
187
37
17
44
72
133
50
342
12
301
113
47
12
7
69
124
34
44
17
75
116
39
123
57
93
56
105
232
411
19
179
II
49
12
44 ,
71
68
42
258
15
9
67
58
13
33
145
52
74
10 .
See footnote at end of table
76
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Crime
Index
total
Modined*
Crime
Index
total
Murder
and non-
neghgenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
ILLINOIS' —Continued
Rock Island
Rolling Meadows...
Romcovillc
Roselle
Round Lake Beach
Satnl Charles
Sauk Village
Schaumburg
Schiller Park
Skokie
South Holland
SpringHeld
Sterling
Streamwood
Streator
SummitI
Tayloi^ille
Tinley Park
Urbana
Vernon Hills
Villa Park
Waukegan
Westchester
West Chicago
Western Springs
Weslmont
Wheaton
Wheeling
Wilmette
Winnetka
Wood Dale
Woodridge
Woodstock
Worth
Zion
INDIANA
Anderson
Bedford
Blootnington
Carmel
Clarksville
Connersville
Crawfordsville
Crown Point
Elkhart
El wood
Evansvjile
Frankfort
Gary
Goshen
Greenfield
Greenwood
Griffith
Hammond
Highland
43,848
21,894
15,224
19,728
13,951
18,474
10,892
60,297
11,363
59,604
23,549
100,584
15,616
24,491
13,930
10.360
12,807
28,473
35,875
12,537
21,874
74,698
17,331
14,272
12,517
20,510
47,749
26,497
26,979
12,406
11,353
25,264
12.537
11,865
19,166
61,324
13,808
52.761
20.924
14.552
16.552
13.678
16.572
44.400
10.080
130,125
15,195
137,471
21,476
11,738
22,994
16,190
86,810
24.280
3.958
600
2.559
829
1.338
878
730
364
3,469
555
6.597
978
8,405
1,149
629
1,016
819
6,108
1,082
4,011
603
832
1,346
880
731
365
3,487
557
6.666
979
8.992
1.150
630
1.018
6.190
1.085
5
31
20
31
9
247
6
4
2
15
3
6
58
4
31
174
5
5
6
1
55
I
124
12
577
3
6
12
10
272
13
208
24
30
12
13
12
17
48
14
64
7
572
23
25
6
20
7
43
121
6
20
178
12
17
3
20
12
17
10
34
7
9
366
84
5
278
15
34
37
69
10
24
21
475
47
652
3
11
43
626
22
309
212
173
77
104
121
176
575
227
378
206
2.048
185
235
96
101
43
112
441
51
200
640
91
127
49
129
182
152
200
71
113
270
47
83
264
751
73
478
154
159
170
88
67
670
144
1,538
131
2,620
148
79
127
65
1,353
91
1,887
726
519
276
524
769
420
2,144
563
1,853
479
5,556
515
642
152
223
92
741
1,057
494
992
3,090
255
513
116
431
741
774
525
240
259
622
291
228
929
2,741
461
1.568
624
1,043
640
552
266
2,492
372
4,132
736
2,518
930
513
804
603
2,826
742
75
35
28
18
17
16
47
305
81
275
105
230
7
32 ,
14 .
73
4
111
107
19
102
202
43
30
4
45
32
51
26
II
20
93
12
30
47
277
53
209
34
86
24
15
19
196
16
292
50
1,929
58
26
61
94
984
211
See footnote at end of table.
77
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Population
Cnme
Index
total
Modified*
Cntne
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
INDIANA— Continued
Hobart
Huntington
Indianapolis
Jefferson ville
Kokomo
Lafayette
La Porte
Lawrence
Lebanon
Logansport
Marion
Martinsville
Merrillville
Michigan City
Mishawaka
Muncie
Munster
New Castle
Noblesville
Plainfield
Portage
Richmond
Schererville
Seymour
South Bend
Speedway
Terre Haute
Valparaiso
Wabash
Warsaw
West Lafayette
IOWA
Ankeny
Bettendorf
Boone
Burlington
Cedar Falls
Cedar Rapids
Clinton
Council Bluffs
Davenport
Des Moines
Dubuque
Fort Dodge
Fort Madison
Indianola
Iowa City
Marion
Marshalltown
Mason City
Muscatine
Newton
Oskaloosa
Ottumwa
Sioux City
Spencer
Urbandale
22,250
16.894
478.693
21.436
45.837
44.460
21.828
26.612
11.869
17.356
35,988
11.979
26,662
35.777
41.606
72.961
20.110
18.461
15.235
10.402
28.561
39.224
14.381
15.426
107,724
12,572
58,208
22,391
12,030
11,115
21,215
16,631
27,765
12,118
27,835
33,004
107,731
29,903
56,565
98,168
190,928
59.348
26.910
12.287
11.601
50.192
20.449
25.916
30.022
23.441
14.713
10.736
25.141
79.121
10.905
19.644
881
626
30.358
1.047
1.998
2.424
1.024
696
576
1.046
1,892
321
994
2,006
3,371
3,656
851
1,056
631
337
1.178
1,848
475
676
12,031
587
3,466
1,176
206
4.39
855
766
1.096
405
2.133
1.087
9.134
2.341
4.498
6.757
19.557
2.956
2.595
543
438
2,705
658
1,266
2,307
999
746
599
1.102
7,167
444
997
889
629
30,588
1,058
2,027
2,435
1,024
697
576
1,046
1.892
1,000
2,016
3,403
3,699
851
1,072
641
337
1,192
1,864
475
686
12.095
587
3.536
1.181
206
439
859
768
1,100
410
2.136
1.089
9.184
2.344
4.524
6.829
19.765
3.014
2.600
544
441
2.759
658
1.274
2.317
1,006
747
602
1,113
7,237
444
999
432
10
14
4
4
7
2
1
1
4
2
19
20
23
4
1
11
110
3
26
5
1
14
3
1,334
30
41
23
5
21
3
1
34
3
35
41
42
87
6
10
6
4
12
37
3
8
336
18
37
4
5
1
3
2
5
6
4
102
5
78
129
337
17
15
1
37
14
2,720
9
9
29
16
25
59
9
40
37
177
65
29
37
49
39
12
9
7
15
253
27
195
55
4
19
20
34
6
172
12
76
7
156
641
703
215
147
19
17
184
5
109
161
5
5
38
35
391
12
61
146
152
8,744
297
442
541
113
199
95
117
396
36
125
560
620
937
65
208
93
52
226
320
82
116
3.598
76
1,045
206
41
26
137
76
220
34
419
233
1,802
529
1,083
1,628
3.772
550
630
96
105
377
120
340
381
166
122
110
250
1.885
52
230
592
437
13,336
615
1.367
1.724
839
340
455
813
1.309
258
607
1.179
2.293
2,265
691
760
462
231
833
1,394
302
479
7,251
414
1,902
861
131
388
655
637
817
354
1,481
802
6,791
1,721
2.903
4,109
13,895
2,048
1,702
408
305
2,007
500
781
1,685
761
601
440
750
4,485
375
666
89
20
3,735
85
122
102
46
104
21
26
92
10
184
166
217
271
60
37
30
1
50
35
352
78
259
187
772
122
99
19
10
92
27
26
67
62
17
7
54
299
31
36
16
19
10
11
89
14
83
16
80
47
10
472
64
48
259
70
45
5
74
24
78
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Cnmc
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
IOWA— Continued
Walerloo
West Des Moines
KANSAS
Arkansas Cily
Atchison
Chanute
CofTeyville
Derby
El Dorado
Empona
Garden City
Great Bend
Hays
Hutchinson
Independence
Junclton City
Kansas Cily
Lawrence
Leavenworth
Leawood
Liberal
Manhattan
McPherson
Merriam
Newton
Olalhe
Parsons
Pittsburg
Prairie Village
Salina
Shawnee
Topeka
Wichita
Winfield
KENTUCKY
Ashland
Bowling Green
Danville
Eliza bethtown
Erlanger
Florence
Fort Thotnas
Frankfort
Georgetown
Glasgow
Henderson
Hopkinsville
JefFer^ontown
Lexington
Louisville
MadisonviUe
Middlesboro
Murray
Newport
Nicholas ville
59.597
23.650
1.1,072
11.472
10.255
14,059
13,022
11.060
24.766
22,914
17,500
17,923
41,763
10,436
20,419
163,098
56,848
36,460
16,172
16,665
33,954
12,257
12,096
16.484
52.511
12,781
18.426
23,971
43,102
30.432
119,331
290,702
11.724
26.064
41.307
13,162
16.393
14.542
17.753
15.673
26.924
12.352
12.352
25.554
29.105
19.703
212.934
286.516
16.670
11.902
13.102
19.783
14.012
4.240
1.832
765
553
345
881
353
512
1.465
2,007
926
780
3,006
684
1,994
16,672
3,978
1,651
521
1,772
1,575
300
835
709
2,598
508
1.374
498
2.235
1.444
10.941
24.843
432
1.023
2.907
474
778
555
1.085
152
1.338
401
109
1.425
1.497
559
14.056
19.438
1.183
630
427
1.262
414
4.255
1.833
759
550
348
886
352
512
1.480
2.033
929
781
3.013
691
2.005
15,866
3,997
1,667
527
1,781
1,579
302
841
716
2.718
610
1,390
499
1,462
10.985
433
1.026
2.909
779
555
1.087
154
1.347
402
109
1.428
1.499
559
14.130
19,598
1.198
534
429
1.268
415
12
10
5
1
22
1
14
150
14
9
2
3
2
4
1
2
24
1
2
10
6
71
240
1
10
2
6
15
1
104
92
5
1
2
15
26
26
2
27
580
34
32
3
2
11
1
10
3
27
2
2
12
9
21
261
591
40
5
8
4
25
2
23
4
2
5
39
12
373
1.541
10
3
5
28
224
5
43
24
7
44
13
10
67
134
69
10
180
29
152
1.506
204
108
18
27
70
9
47
31
144
22
40
46
78
545
711
10
66
207
41
44
44
31
13
137
34
7
127
126
16
548
1.019
141
38
55
95
32
1.289
319
174
112
77
191
44
99
257
369
174
141
631
147
313
4,550
742
294
142
504
275
35
138
128
481
112
340
90
311
268
2,866
5,601
90
279
632
122
173
73
107
27
292
65
21
203
295
64
2,860
5,526
280
140
104
340
135
2,555
1,442
516
392
233
600
285
373
1,080
1,403
651
603
2,071
486
1,426
7,994
2,813
1,125
339
1,190
1,265
238
581
522
1.872
454
951
357
1,814
992
6,795
16,326
321
511
1,857
300
516
404
862
102
820
288
62
1,054
958
428
9,372
9,928
713
410
250
718
227
29
20
20
29
7
24
39
64
25
23
76
19
50
1,751
169
81
17
45
53
12
58
23
150
7
41
19
44
79
399
1,350
55
152
2
34
29
59
7
56
9
14
28
60
38
787
1,289
33
38
11
63
20
79
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slate
Population
Crime
Index
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
KENTUCKY— Continued
Owensboro
Paducah
Richmond
Saint Matthews
Shively
Somerset
Winchester
LOUISIANA
Aiexandiia
Bastrop
Baton Rouge .
Bogatusa
Bossier City ..
Denham Springs..
Gretna
Harahan
Houma
Jennings
Lafayette
Lake Charles
Leesville
Minden
Monroe
Morgan City .
Natchitoches..
New Iberia ..
New Orleans .
Pineville
Ruston
Shreveport
Tallulah
West Monrtw
Westwego
MAINE
Auburn
Augusta
Bangor
Bath
Biddeford
Brunswick
Gorham
Lewiston
Portland
Presque Isle
Saco
Sanford
Scarborough
South Portland
Waterville
Wcstbrook
Windham
York
56,289
28,375
23.384
13,922
14,792
12,092
15,123
50,979
17,096
242,539
17,086
56,549
10,802
20,356
11,129
38,687
12,576
89,026
72,743
11,575
15,054
55,707
15,886
16,055
35,876
549,536
14,251
21,248
218,407
11,080
16,392
11,902
23,131
20,876
30.504
10,569
20,936
17,892
11.166
39,425
63,386
10,782
14,575
19,571
12,471
21.867
17.184
15,485
13.169
11.946
2,993
3,309
877
838
680
543
677
5,141
729
30,856
963
4,027
679
1,872
395
2,041
654
8,641
5,379
751
524
5.139
595
808
1,235
51.001
530
932
23.306
480
1.042
517
755
1,081
1,903
354
1,013
545
151
2,795
8,074
354
706
730
388
1,562
1,214
701
427
269
3,001
3.334
879
838
683
548
679
5.169
730
31.009
964
4,043
679
405
2,047
654
8,660
5,390
758
525
5,148
595
812
51.280
546
932
23.421
485
517
758
1.095
1.919
355
1.026
555
159
2,812
8,176
354
710
761
388
1,576
1,225
704
434
272
1
1
3
205
40
161
3
31
19
3
64
18
3
6
43
3
1
5
359
113
9
4
1
84
9
813
28
42
3
86
6
55
9
211
55
7
7
60
11
10
25
3,786
4
4
653
9
9
15
37
147
278
107
21
53
24
66
360
34
3,289
81
271
74
127
11
143
132
667
135
101
116
699
59
9
3,328
17
57
1,320
126
34
37
7
10
46
5
51
7
4
120
344
2
4
18
5
7
65
24
5
9
691
752
166
81
126
91
93
1,092
109
7,916
220
658
91
471
84
507
96
1,727
1,404
138
165
1,216
185
253
344
11,999
128
154
5,926
142
188
102
146
150
350
46
196
98
45
660
1,563
65
116
135
105
168
104
148
73
72
2,129
2,111
523
643
393
404
489
3,388
561
16,774
590
2,810
493
1,048
273
1.245
401
5,670
3,589
489
220
2,929
358
480
822
22,365
375
701
14,349
190
780
333
545
876
1,428
279
709
412
91
1,852
5,578
275
551
544
262
1,309
986
487
330
172
94
99
59
63
64
17
24
185
14
1,869
37
212
17
134
21
67
13
293
171
12
10
185
29
4
27
8.959
6
16
905
4
27
29
50
36
49
22
40
22
II
114
411
10
26
29
14
66
44
34
14
14
80
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Oly by Slate
Populalion
Crime
lildcv
Modifltd*
Cnmc
Index
totui
Murder
and non-
ncgligcnt
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MARYLAND
Aberdeen
Annapolis
Baltimore
Baliiinore City Sheriff
Baltimore City State Police..
Cambndge
Cumberland
Frederick
Grecnbelt
Hagerslown ...
Hyaltsulle
Laurel
Salisbury
Takoma Park (Montgomery County).
Takoma Park (Prince Georges County).
Westminster
MASSACHUSETTS
Agawam
Amherst
Athol
Auburn
Bellingham
Boston
Braintree
Bridgewater .
Canton
Chicopee
Dartmouth
East Longmeadow..
Easton
Fall River
Fitchburg
Gardner
Hingham
Holden
Longmeadow .
Ludlow
Medfield
Milford
Milton
New Bedford
North Adams
Northampton..
Northboro
Nonhbridge
Norwood
Oxford
Piltsfield
Sharon
Shrewsbury ..
Southbridge
Spencer
Spnngfleld ...
Swansea
Taunton
Walpole ..
Wareham .
12.132
33,896
754,8')3
11,248
23.603
34.343
16.359
34.211
11,654
12,386
18.025
10,313
4.278
10,394
27.237
32,388
10,883
14,638
14,286
575,882
34,827
18,493
18,413
57,326
25,711
12,961
19,166
90,778
39,195
18,493
19,748
13,804
16,445
18,814
10,652
24,326
25,601
96,832
17.087
28,472
11,365
12,489
28,332
12,379
49,776
14,718
22,649
16,585
11,586
150.002
15,853
45,941
19,798
20,421
997
2,733
65,553
1
940
976
2,418
1,084
1,849
747
1,106
2,228
528
345
554
665
840
310
582
261
67,417
1,769
260
482
2,462
1,707
418
304
7,357
1,787
425
550
126
360
405
163
342
525
7.049
724
1,367
192
210
424
280
1.768
258
590
203
150
10.609
744
1.751
518
1.224
1.011
2,773
66,229
1
949
978
2,442
1,8
2,231
581
668
841
314
582
316
67,590
1,787
260
488
2,502
1,749
422
305
7,684
1,804
436
550
127
361
411
168
345
530
7,222
726
1,371
193
216
424
281
1.788
258
594
203
150
10.730
780
1,763
531
1,225
3
226
7
17
595
7
4
6
3
1
550
10
2
2
42
156
9
27
77
7,466
10
3
4
7
3
5,408
30
1
4
51
26
6
2
164
40
5
1
2
1
2
16
241
7
10
1
1
7
1
35
2
13
628
3
36
1
101
193
6.008
1
1
83
35
360
56
67
23
33
178
31
13
28
25
21
22
6
13
5.920
157
21
20
193
46
12
12
353
140
42
2
3
9
35
6
2
25
537
110
97
7
16
19
21
139
19
40
25
1.600
50
92
37
67
153
693
13,475
228
177
535
176
471
168
183
492
150
106
190
82
136
68
10,412
258
73
97
713
348
104
124
2,146
503
166
143
38
43
153
25
71
181
2,326
150
336
57
60
64
90
587
92
137
86
50
3.438
123
526
64
332
634
1,588
30.319
578
718
1.345
661
1.126
389
742
1.359
260
193
404
448
574
173
351
148
26.791
882
145
295
1,180
809
283
122
3,211
924
160
361
82
294
199
125
187
215
2,491
411
822
107
108
204
133
825
123
350
48
88
3,342
293
883
335
702
75
162
7,464
23
30
112
155
91
95
122
105
41
41
23
67
48
23
79
28
18,260
431
18
64
282
476
13
44
1,444
165
43
42
1
12
13
7
76
85
1,410
39
99
19
20
128
31
151
21
47
30
12
1,437
274
205
77
106
81
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slale
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS— Continued
Webster
Westboro
Weyinouth
Wilbraham
Worcester
MICHIGAN
Adrian
Albion
Allen Park
Alpena
Ann Arbor
Auburn Hills
Battle Creek
Bay City
Bedford Township
Benton Harbor
Benton Township
Berkley
Berrien Springs-Oronoko
Beverly Hills
Big Rapids
Birmingham
Blackman Township
Bloomfield Township
Bridgeport Township
Brownstown Township
Buena Vista Charier Township
Burion
Cadillac
Canton Township
Chesterfield Township
Clawson
Clio- Vienna
Davtson Township
Dearborn
Dearborn Heights
Detroit
De Witt Township
East Detroit
East Grand Rapids
East Lanstng
Ecorse
Emmetl Township
Escanaba
Farmington
Farmington Hills
Ferndale
Flint
Flint Township
Eraser
Genesee Township
Grand Blanc Township
Grand Haven
Grand Rapids
Grandville
Green Oak Township
Grosse Pointe Park
15.150
13.262
54.696
12.469
158,395
20,520
10,390
31,282
11,345
108,336
16,078
54,344
39,894
10,079
14,229
17,776
17,555
11,747
10,933
13,656
20,640
18,661
43,763
12,973
17,606
11,044
29,564
10,602
60,815
20,952
14,169
15,535
13,807
86,842
62.152
1,091,523
10.662
35.291
11.827
48.355
13.114
10.973
13.968
10.169
65.659
25.192
146.301
34.457
13,898
24,188
25,705
12,410
187,441
14,088
11.134
14.299
187
543
1,496
292
10,908
1,456
741
1,510
594
10,269
851
5,455
2,365
239
2,754
2,693
559
386
309
686
1,254
613
1,690
529
859
1,116
2,088
763
2,710
1,149
543
736
425
7,661
3,540
138,411
331
2,719
289
1.851
1.338
535
842
518
3.311
2.221
22.697
2.363
836
1.164
1.057
783
17.335
578
276
722
189
550
1,511
292
11.157
1.457
743
1.515
601
10.298
860
5.487
2.385
240
2.824
2.702
560
389
311
687
1.258
613
1.698
531
873
1.132
2.107
763
2.746
547
742
426
7.686
3.555
139.978
335
2.737
1.860
1.356
540
845
518
3.328
2.228
23.109
2.374
843
1.170
1.059
787
17.487
582
278
723
686
1
5
59
6
58
31
6
41
29
3
4
1
3
4
6
14
1
4
10
18
6
19
3
2
5
1
24
13
1.417
5
24
I
17
11
4
4
22
18
276
5
8
11
5
1
268
4
I
5
515
7
6
24
2
180
29
162
28
2
67
42
12
28
7
33
7
12
31
66
10
32
5
10
13
3
200
125
15.093
5
122
3
10
76
7
1
7
29
134
1.379
48
9
33
10
4
504
4
18
11
98
12
852
29
39
45
10
432
58
417
135
18
478
124
24
17
8
10
30
30
50
24
71
107
98
28
63
II
18
87
8
172
131
10.582
18
76
2
47
101
19
7
10
135
114
2.856
75
46
106
70
10
1.464
7
17
24
93
86
424
59
3.252
171
193
382
89
1.718
191
1,496
418
105
850
684
78
57
43
64
216
75
190
112
152
259
369
92
502
321
108
139
78
865
1,010
36,900
104
385
32
246
421
138
141
90
751
380
6.586
446
140
271
190
59
3,984
114
82
106
48
378
711
198
5,021
1,208
485
784
476
7,378
482
3,189
1,673
97
1,232
1,732
389
294
231
589
843
472
1,224
372
482
658
1,403
605
1,821
726
358
440
305
4,939
1,684
43,914
185
1,631
242
1,369
518
348
665
382
1,936
1,268
9.709
1.565
556
648
695
689
9.970
413
152
461
13
67
237
17
1,172
40
9
274
12
498
85
126
79
II
78
82
53
14
18
18
133
23
178
13
136
50
130
21
273
83
47
50
30
1,457
574
29,819
14
481
9
162
202
19
23
29
437
301
1,839
223
77
94
87
20
1.130
35
24
121
82
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Crime
Index
total
Modined*
Crime
Index
Murder
and non-
negligent
man-
slaughter
FofL-ihlc
rape
Aggra
vatcd
assault
Burglary
Lareeny-
Ihefi
Motor
vehicle
theft
MICHIGAN— Continued
Grosser Pottile Wixids
Hamburg Township
Hampton Township
Hamlramck
Hatper Woods
Hazel Park
Highland Park
Holland
Jackson
Kalamazoo
Kalamazoo Township
Ken! wood
Lansing
L-ansing Township
Lincoln Park
Ltvonia
Madison Heights
Marquette
Metvindale
Midland
Monroe
Mount Clemens
Mount Morris Township
Mount Pleasant
Mundy Township
Muskegon
Muskegon Heights
Muskegon Township
Niles
Niles Township
Northvtlle Township ......
Norton Shores
Novi
Oak Park
Oscoda-Ausable Township
Owosso
Pittsfield Township
Plymouth
Pontiac
Portage
Port Huron
Redford Township
River Rouge
Rtverview
Romulus
Roseville
Royal Oak
Saginaw
Saginaw Township
Saint Clair Shores
Saull Sainte Marie
Shelby Township
Soulhfteld
Southgate
Sterling Heights
Summit Township
Sumpter Township
Taylor
Thomas Township
16.520
11,797
10,722
18,781
14,782
20,299
25,745
29.092
.17,151
77,607
21,042
35.925
129,610
10,330
43,059
101,031
33,704
21,474
11,204
36,065
21,937
19,394
26,961
21,997
10,883
40,004
14,681
14,330
12,561
12,320
14,480
21,816
28,127
31,272
14,249
15,495
12,581
10,029
71,377
40,627
33,935
56,364
11.405
14,068
24,218
52,043
66,513
72,824
37,261
72,452
14,028
42,888
73,266
30,538
112.507
21.042
11.395
72.794
11.214
428
314
436
2.875
2.097
2.255
4.461
1.490
4.004
9.226
939
2.143
10.996
668
3.590
5.482
2.703
1.047
1.068
1.601
1.114
1,650
1,942
905
369
5,280
2,137
867
858
309
528
630
1,887
2,509
402
963
1,446
323
8,590
2,147
2,299
3,823
1,195
397
2,469
4,805
4,035
7,507
1,777
3,567
767
1,645
7,665
2,211
5,395
420
382
5,782
211
428
318
440
2,895
2,099
2,270
4,492
1,496
4,071
9,318
940
2,148
11,074
669
3.604
5,521
2,724
1,051
1,074
1,634
1,121
1,671
1,958
906
373
5,314
2,145
869
861
312
535
630
1,891
2,518
405
967
1,453
324
8,648
2,161
2,308
3,825
1,223
398
2,496
4,816
4,053
7,695
1,784
3.582
772
1.659
7.679
2.225
5,441
422
386
5,821
27
2
5
6
19
1
10
61
17
54
132
12
16
164
4
17
17
5
4
6
4
12
7
20
6
1
9
21
5
8
5
170
14
12
8
14
28
20
23
167
2
200
49
112
572
3
119
321
14
21
336
30
77
147
67
14
11
92
95
4
4
95
72
7
10
3
10
8
15
139
31
1
538
19
37
120
46
2
66
95
83
288
38
53
4
14
279
40
62
7
5
109
1
7
15
11
266
21
271
529
61
563
1,254
36
69
1,176
157
192
84
23
35
16
70
115
165
23
10
998
232
2
58
10
6
20
32
187
18
72
53
18
1,764
47
151
84
132
7
211
115
92
982
56
84
31
46
283
75
222
23
55
284
4
51
90
59
708
117
338
940
221
789
2,081
238
228
2,612
149
745
878
421
119
247
174
229
317
559
122
94
1,055
356
143
153
75
103
105
274
469
82
211
247
44
2,062
304
385
664
278
85
511
603
861
2,062
231
714
167
355
1,215
335
937
96!
120!
1,207
33
320
190
341
974
1,523
1,127
1,438
1,134
2,294
5,105
610
1,726
6,043
424
2,105
3,163
1,721
863
585
1,362
741
941
906
722
226
2,971
1,411
692
597
212
380
465
1,354
1,149
284
630
973
242
3.186
1.690
1.634
2,146
576
270
1,312
3,352
2,522
3,688
1,371
2,139
534
1,055
3,795
1,376
3,487
280
173
3,081
166
44
14
17
700
386
397
886
54
182
328
28
83
657
52
486
1,085
404
38
174
31
51
176
195
28
35
115
51
18
22
7
29
29
202
542
12
34
137
18
843
73
80
801
144
33
337
619
453
297
78
559
28
167
2,056
374
662
9
21
1,036
7
83
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN— Continued
Traverse City
Trenton
Troy
Van Buren Township
Walker
Warren
Waterford Township
Wayne
West Bloomfleld Township
Westland
White Lake Township
Woodhaven
Wyandotte
Wyoming
Ypsilanti
MINNESOTA
Albert Lea
Andover
Anoka
Apple Valley
Austin
Bemidji
Blaine
Bloomington
Brainerd
Brooklyn Center
Brooklyn Park
Burnsville
Champlin
Cloquet
Columbia Heights
Coon Rapids
Cottage Grove
Crystal
Duluth
Eagan
Eden Prairie
Edina
Fairmont
Faribault
Fergus Falls
Fridley
Golden Valley
Hastings
Hibbing
Hopkins
Hutchinson
Inver Grove Heights
Lakeville
Mankato
Maple Grove
Maplewood
Marshall
Minneapolis
Minnetonka
Moorhead
Mounds View
New Brighton
15,887
21,273
67,598
19,183
16,299
150.531
64,865
21,103
47,089
81,586
23,142
11,225
31,503
62,725
23,243
18,279
10,726
15,489
28,400
21,934
10,937
34,674
86,348
11,582
32,066
53,930
40,858
12,488
10,595
19,387
43,516
21,048
24,825
82,964
32,348
26,023
46,659
11,682
16,375
12,085
29,578
23,042
14,260
19,165
14,552
10,192
19.165
19.004
30,082
30,364
32,227
11,118
359,371
44,644
28,561
14,160
22,005
1,121
614
4,719
890
860
10.487
4.663
1.939
1.289
5.072
834
629
1.504
3.276
2.217
709
519
1,107
771
1,165
1,152
2,177
3,911
1,074
2,461
3,024
2,889
546
728
941
2,746
904
986
4,826
1,351
1,429
1,902
384
1,023
553
1,919
1,049
496
376
833
473
804
681
1,773
812
1.779
338
45,356
1,402
1,864
485
762
1,123
617
4,745
894
10.579
1,961
1,295
5,124
840
634
1,512
3,301
2.227
716
525
1.115
775
1,166
1,156
2,185
3,938
1,080
2,462
3,041
2,893
547
740
948
2,755
911
987
4,857
1,368
1,446
1,908
384
1,025
554
1,924
1,062
498
376
844
481
815
703
1,781
813
1,787
340
45,621
1.404
1.871
491
763
38
3
2
5
5
1
6
I
520
7
7
4
5
358
91
85
4
121
II
9
17
28
113
6
2
6
3
23
5
2.866
8
5
4
5
20
25
144
43
41
489
174
116
43
187
55
20
11
83
262
13
4
20
12
21
32
40
47
44
46
144
34
19
29
16
25
14
26
159
34
20
15
3
24
9
24
8
13
6
28
31
25
32
22
27
5
2.114
22
121
120
687
149
117
1.852
1.052
360
242
995
198
73
235
638
399
123
264
282
174
191
89
342
614
240
467
791
564
127
169
248
454
108
202
931
335
223
295
57
266
79
279
306
68
51
174
47
233
142
335
139
336
46
11.987
238
201
58
154
916
408
3.176
555
647
5.763
3,015
1,101
927
3,032
508
459
1,118
2,266
1,225
520
209
739
544
872
966
1,672
2,940
740
1,735
1,852
2,160
372
483
601
2,147
733
687
3,353
909
1,132
1,473
308
667
430
1,493
637
379
306
564
392
467
471
1,320
618
1,291
263
23,254
1,079
1,583
361
544
44
58
657
130
48
1,950
282
267
70
709
52
65
117
237
187
35
40
56
32
70
54
96
255
37
183
184
105
20
40
56
101
30
48
309
51
49
98
11
60
31
102
86
34
12
59
23
65
36
73
29
96
18
4,577
62
46
45
46
84
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Stale
Population
Ctittie
Index
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MINNESOTA— Continued
New Hope
New Ulm
Northfield
North Saint Paul
Oakdalc
Owalonna
Plymouth
Ramsey
Red Wmg
Richfield
Robbinsdale
Rochester
Roseville
Saint Cloud
Sattii Louis Park
Sainl Paul
Shakopce
Shoreview
South Lake Minnetonka
South Saint Paul
Stillwater
Vadnais Heights
West Saini Paul
White Bear Lake
Willmar
Winona
Woodbury
MISSISSIPPI
Bay Saint Louis
Brookhaven
Clarksdale
Columbus
Connth
Greenville
Greenwood
Grenada
Gulfport
Jackson
Laurel
Long Beach
Meridian
Moss Point
Natchez
Ocean Springs
Pascagoula
Pearl
Starkville
Tupelo
Vicksburg
MISSOURI
Arnold
Ballwin
Bellefontaine Neighbors
Helton ,
Berkeley
22.972
13.455
13.334
11,068
15,479
18,208
46,920
12,186
14.160
36,275
14.009
58,542
34,150
43.154
43,939
265,550
10,867
24,362
10,136
20,716
12,871
10,222
18.752
23.949
16.003
24.261
17,491
10,260
10,850
21,299
28,289
12,490
39,998
20,529
10,870
43,408
208,41 1
20,629
16,849
42,968
19,289
22.179
17.599
30.859
21.529
16.629
25.829
26.019
746
423
526
479
473
579
1.623
483
582
1.679
773
3,183
2,108
3,006
2,298
21,360
736
416
306
774
461
261
1,079
994
779
1,571
573
452
381
812
1,709
472
3.469
1,510
769
4.864
16.203
1.917
834
2.465
504
1,817
810
2.735
647
931
1.203
1.289
749
424
531
482
475
579
1.637
485
587
1.691
781
3,185
2,112
3,012
2.301
21,655
738
417
309
776
464
261
1,080
995
782
1,572
574
821
1,714
473
3,478
1,559
773
4.888
16.312
1.921
834
2.469
504
1.820
811
2.738
651
932
1.203
12
218
2
2
2
5
3
1
4
40
7
2
45
112
7
5
5
10
21
5
19
6
5
1
5
3
1
3
2
6
5
1
1
27
8
15
24
12
38
746
4
7
3
7
28
27
3
78
43
7
97
407
II
10
25
4
36
5
64
7
8
13
27
20.398
799
13.850
361
11.695
429
14.938
604
17,023
675
808
362
429
606
686
7
47
9
13
51
13
41
14
61
47
1.313
28
2
5
21
10
2
9
17
20
15
22
6
35
29
2
161
19
97
195
895
4
70
24
25
47
22
335
25
68
23
73
146
68
66
109
112
118
300
95
73
435
171
515
343
406
515
6.183
131
80
65
201
63
42
200
220
64
348
193
144
62
356
306
184
1,565
444
212
1,516
5,294
518
344
620
251
342
161
774
151
175
174
523
150
53
65
86
207
542
334
408
342
315
421
1,149
344
460
975
539
2,508
1,612
2,397
1,500
11,578
526
307
224
485
358
182
799
685
645
1,166
344
260
290
349
1.283
237
1.489
930
419
2.742
8.698
1,335
367
1,680
193
1,332
578
1,441
430
646
915
609
575
291
317
445
313
30
15
38
19
28
27
121
34
34
181
38
87
112
122
186
1,310
44
18
10
54
23
34
56
58
38
36
21
22
11
32
53
44
127
59
31
267
745
38
37
102
20
37
39
99
25
27
77
40
85
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over In Population, 1987 — Continued
City by Slale
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSOURI— Continued
Blue Springs
Bridgelon
Cape Girardeau.
Carthage
Clayton
Columbia .
Crestwood
Ferguson --
Florissant
Fulton
Gladstone
Grandview. ..,..,
Hannibal ,
Hazelwood
Independence..
Jefferson City .
Jennings
Joplin
Kansas City ...
Kirksville ,
Kirkwood
Lebanon
Lees Summit .
Maplewood ....
Marshall
Maryland Heights .
Mexico
Moberly
O'Fallon
Overland
Raytown ,
Richmond Heights.
Rolla
Saint Ann
Saint Charles
Saint Joseph .
Saint Louis...
Saint Peters
Sikeslon
Springfield
University City
Warrensburg
Washington
Webster Groves
MONTANA
Billings
Bozeman
Havre
NEBRASKA
Alliance
Beatrice
Bellevue
Columbus
Fremont
Grand Island
Hastings
33.473
18,544
34.611
11,322
13.760
63,601
12.178
24,085
59,471
10,244
27,822
25,233
18,807
16,590
113,775
36,474
17,416
40,514
444,382
16,127
27,630
10.315
36,333
10,043
12,642
27,862
11,785
13,206
12,178
18,867
31,075
10,879
13,256
15,069
42,297
74,611
429,414
27,479
17,739
140.378
42.579
12.823
10.285
23.299
79.339
23,206
10,709
10,455
12.201
32.123
18,566
23,723
39,007
22,935
1,991
1,289
2,284
434
832
4,540
370
982
1,330
413
904
1,431
999
781
6,650
1,630
1,335
3,112
52,777
751
838
456
1,339
587
324
1,380
281
650
639
964
1.160
773
657
888
1,933
5,013
54,408
1,220
994
10.243
2.384
958
452
523
6.641
1.378
702
398
502
1.211
764
912
2.634
985
1,293
2,302
438
834
4.568
371
988
413
910
1,440
1,001
786
6,697
1,336
3,127
53,330
842
458
1,342
587
1,389
284
653
640
971
1.160
778
658
888
1,958
54,971
1,224
999
10,312
2,404
965
455
531
6,660
1,382
708
399
503
1.211
764
919
2,635
987
2
2
131
1
153
3
28
12
5
24
486
3
1
16
23
332
2
10
41
15
5
2
24
22
18
1
20
87
8
35
29
4
12
43
6
U
139
34
46
44
3,279
2
20
2
13
13
2
19
3
5
3
21
37
12
7
12
28
47
3,296
27
11
157
96
53
20
152
14
16
141
2
17
65
48
32
39
55
15
312
72
59
77
4,527
40
II
8
39
13
2
127
5
33
49
35
34
10
6
6
86
225
5,997
9
35
240
70
8
84
11
385
217
272
89
214
785
59
313
218
50
227
350
174
126
1.701
331
192
555
13,767
126
172
86
304
67
67
329
62
113
113
177
223
116
121
85
407
1,265
11,796
265
152
2,528
684
214
54
106
1,335
102
84
1,467
922
1,755
320
557
3,363
267
533
936
296
559
874
736
553
3,997
1.117
917
2,294
24,224
539
588
312
863
438
247
807
203
476
448
679
774
566
500
668
1,272
3,268
25,157
878
759
6,849
1,281
709
294
363
4,876
1,183
579
64
313
57
420
168
981
158
578
109
776
546
1,954
216
732
61
105
79
9
25
139
34
80
75
14
72
113
28
72
470
64
114
116
6,363
4!
41
44
117
54
6
97
7
20
25
46
62
23
116
121
184
7,677
39
27
427
237
25
12
28
305
81
29
10
18
35
20
18
69
23
86
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily b) Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligcni
man-
slaughter
Forcible
rape
Rohbery
Aggra-
vated
assault
Burglary
Larceny
theft
Motor
vehicle
theft
NEBRASKA— Continued
Kearney
La Visia
Lincoln
Norfolk
North Platte
Omaha
Papillion
ScotlsblufT.
NEVADA
Boulder City
Henderson ,
Las Vegas Metropolitan Police
Department Junsdiction
Reno ,
Sparks
NEW HAMPSHIRE
Bedford
Berlin
Claremont
Concord
Derry
Dover
Durham
Exeter
GofTslown
Hampton
Hudson ,.
Keene
Laconia
Lebanon
Londonderry
Manchester
Merrimack
Milford
Nashua
Portsmouth
Rochester
Salem
Somersworth
NEW JERSEY
Aberdeen Township
Asbur>' Park
Atlantic City
Bayonne
Belleville
Bellmawr
Bergenfield ,
Berkeley Heights
Berkeley Township
Bernards Township
Bloomfteld
Brick Township
Bridgeton
Bridgewater Township
Burlington
22.716
10,934
182,615
20,212
22.437
374.934
11.074
14,366
11,779
49,029
481,393
115.320
54.282
11,930
12.558
14.781
33.731
25.043
24.467
12,805
12,619
13,916
12,105
17,694
23.026
17,025
11,693
17,117
100,131
19.783
10.571
78.753
26,731
24,055
25,949
11,106
18.979
16.341
36.226
63.330
36.095
13,693
25,332
12,817
32,128
15.435
47,975
61,215
18.747
29.198
10.461
961
237
12.362
1.004
1.521
24,383
241
1.009
197
1,536
37,020
9,806
3,182
501
166
553
1,614
920
1,136
300
284
311
759
522
1,137
1,094
519
386
5,935
390
146
3,171
1,370
1,084
1,285
485
71
1,504
13,811
1,693
1.865
378
625
160
795
254
2.138
2.418
1,401
635
506
965
237
12,427
1,008
1,523
24,450
242
1,010
197
1,544
9,866
502
166
559
1,623
930
1,141
301
288
311
761
532
1,148
1,108
525
392
6,006
394
149
3,181
1,384
1,102
1,288
490
731
1,507
13,884
1,716
1,884
378
626
161
817
256
2,147
2,444
1,414
635
537
10
28
3
6
57
3
10
189
28
308
115
20
87
5
570
2
2
2
40
1,837
408
80
104
2
12
81
510
65
52
1
7
3
547
20
37
1,749
6
26
5
34
1,692
368
124
9
31
30
13
23
63
5
21
28
146
80
15
1
71
155
482
66
121
20
14
23
5
78
43
140
16
23
123
49
2,305
198
211
5,338
48
146
44
459
9,395
2,134
630
86
15
98
292
239
124
83
71
39
170
91
201
255
78
70
1,298
60
27
603
225
215
186
82
138
288
1.431
349
334
29
118
40
191
53
290
423
365
156
93
796
176
8,955
739
1,205
15,292
180
819
143
845
20,069
6,031
2,120
385
132
399
1,170
563
952
198
158
247
541
372
849
719
403
271
4,063
282
94
2,212
913
693
823
364
430
774
10,770
832
856
294
441
116
531
187
1,125
1,750
782
412
3311
31
2
401
43
53
1,217
4
15
3
130
3,672
738
205
16
16
24
90
75
48
12
24
12
43
44
38
61
19
19
381
36
4
240
63
46
241
32
48
179
553
377
499
34
40
4
36
7
582
183
51
48
46
87
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cuy by Stale
Population
Cnmc
Index
total
Modified'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Burlington Township
Camden
Carteret
Cedar Grove Township
Cherry Hill
Cinnaminson Township
Clark
Cliffside Park
Clifton
CoUingswood
Cranford Township
Delran Township
Denville Township
Deptford Township
Dover
Dover Township
Dumont
East Brunswick Township
East Orange
East Windsor Township
Eatontown
Edison
Egg Harbor Township
Elizabeth
Elmwood Park
Englewood
Evesham Township
Ewing Township
Fair Lawn
Fairview
Florham Park
Fort Lee
Franklin Lakes
Franklin Township (Gloucester County)
Franklin Township (Somerset County) ..
Freehold
Freehold Township
Galloway Township
Garfield
Glassboro
Glen Rock
Gloucester City
Gloucester Township
Hacken&ack
Haddonfield
Haddon Township
Hamilton Township (Mercer County)
Hamilton Township (Atlantic County) ..
Hammonton
Hanover Township
Harrison
Hasbrouck Heights
Hawthorne
Hazlel Township
Highland Park
Hillsborough Township
Hillsdale
Hillside Township
Hoboken
11.740
83.377
19.663
12.666
72.985
15.817
16,431
20,831
76.952
15,545
24,194
14,398
14,307
24,748
14,498
71,948
18,063
42,508
77,949
22,815
13,552
82,691
22,301
107,271
18,143
23,570
28,916
35,451
31.494
10,380
10,562
32,774
10,028
14,267
35,964
10,189
21,355
18,173
26,530
14,519
11,085
13,341
50,855
36,065
12,283
16,039
87,584
12,515
12,384
12,011
12,555
11,800
18,747
23,338
13,179
23,489
10,421
21,526
41,934
763
11.239
491
370
4,359
489
414
497
2,874
541
585
422
320
1,785
498
3,323
308
1,653
6,498
694
1,058
3,140
1,627
10,062
890
1,501
944
1,795
838
464
125
1,493
170
419
1,477
475
718
621
406
870
123
380
2,278
2,456
329
624
3,315
746
509
218
525
419
477
404
384
397
197
1,996
2,367
774
11,368
492
373
4,375
493
415
497
2,878
548
589
424
321
1.792
498
3.345
308
1.654
6,609
697
1,063
3,164
1,639
10,098
893
1,509
952
1,803
842
465
125
1,495
174
425
1,484
478
722
627
407
875
124
384
2,290
2,464
329
629
3,333
759
512
219
527
419
477
407
388
398
199
1,999
2.380
22
3
123
22
2
104
9
6
16
17
50
7
7
1,025
8
12
84
26
6
660
9
35
14
734
24
51
5
29
14
9
1
46
2
122
76
23
888
22
28
82
17
4
13
88
15
10
14
40
19
88
2
34
544
15
15
83
71
445
22
80
13
32
17
19
1
29
6
33
41
43
14
29
II
13
I
13
69
35
15
4
18
28
9
5
7
69
109
111
2,888
143
90
496
126
39
91
463
75
87
68
34
274
86
748
82
180
1.613
134
123
563
394
1.605
112
368
171
315
159
103
13
218
31
115
357
82
92
148
62
169
32
78
371
189
68
116
841
215
106
26
48
37
72
87
81
95
56
289
460
538
3.871
265
210
3,097
286
323
314
1,682
369
437
296
243
1,192
320
2,209
192
1.264
1.823
482
809
1.950
975
4.273
621
860
699
1.167
546
236
104
998
121
221
947
303
564
405
251
602
72
241
1,601
1,790
236
453
2,072
386
331
171
236
298
304
226
281
273
129
955
1.131
81
2.422
53
28
593
50
42
77
579
69
47
43
25
264
70
230
24
167
1,744
45
95
491
155
2.945
104
133
55
245
99
97
6
196
II
43
97
17
44
29
79
46
13
44
196
373
14
39
281
57
57
16
218
73 ,
67 .
52
II
22
3
551
583
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over In Population, 1987 — Continued
Cily by Sl»lc
NEW JERSEY— Continued
Holmdel Township
Hopalcong
Hopewell Township..
HowcII Township
Irvington
Jackson Township . . . .
Jefferson Township
Jersey Cily
Keansburg
Kearny
Lacey Township
Lakcwood
Lawrence Township.
Lincoln Park
Linden ,
Lindenwold
Little Egg Harbor Township..
Little Falls Township
Little Ferry
Livingston
Lodi
Long Branch
Lower Township
Lyndhurst Township..
Madison
Mahwah Township
Manalapan Township
Manchester Township ....
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..
Monistown
Morris Township
Mount Holly
Mount Laurel Township
Mount Olive Township....
Neptune Township
Newark
New Brunswick
New Milford
New Providence
Nonh Arlington
North Bergen Township.
Population
North Brunswick Township..
North Plainfield
Nutley
10.75.1
15.314
11,186
32,440
62,635
28,332
16,905
220.981
10,632
35,169
18,737
40,132
23,429
10,048
37,956
18,566
10,622
12.324
10.008
28.685
23,066
29,702
19,633
20.076
15.445
14.619
25,523
34,111
10.954
19.996
22,915
25,835
20,499
13,210
13,381
12,918
69,834
19,623
25,503
23,419
19,935
38,753
15,495
15,928
16,874
19.845
10.934
24.839
19.543
29.238
318,402
40,505
16.431
12.283
16.089
47.663
25.956
18,032
29,299
Cnmc
Index
lolal
258
332
237
907
7.384
1,487
358
20,199
288
2,105
521
2,631
2,258
170
1.841
990
485
597
359
1,199
836
2.164
566
823
256
533
544
363
170
878
1.071
599
637
487
371
842
1,458
861
1,592
802
402
2,028
370
769
1,477
473
605
1,118
557
1,642
40.185
2,497
336
121
377
2,939
1.175
844
625
MiXiified*
Crime
Index
lolal
258
337
240
926
7.428
1,488
358
20,265
289
2.112
525
2,656
2,267
170
1,848
993
487
598
364
1,202
841
2.206
570
828
256
537
546
369
171
886
1.072
608
641
491
372
842
1,473
869
1,616
814
406
2,034
372
770
1.481
473
613
1,123
562
1,655
40.761
2.500
336
122
377
2.944
1.187
846
625
Murder
and non-
negligent
man-
slaughter
Forcible
rape
105
2
13
1
14
4
1
7
7
Robbery
24
5
1
20
1
2
10
3
4
3
12
7
577
21
3
5
545
14
1
2,051
1
33
2
99
1
73
15
Aggra-
vated
a&saull
4
3
17
41
4
3
3
5
9
10
8
42
7
3
43
4
12
42
6
18
5
2
45
4,230
126
14
6
50
681
32
7
1,172
25
102
14
116
20
5
60
47
13
6
8
16
182
10
21
4
4
22
30
7
27
34
37
21
13
13
24
55
9
79
36
21
90
16
13
74
22
35
34
27
92
4,038
231
18
2
14
162
40
30
22
Burglary
50
58
54
145
1,751
227
122
4.613
42
270
120
556
336
30
351
261
110
95
38
87
75
596
105
123
76
123
102
100
13
140
172
128
136
82
79
195
354
88
481
253
107
420
77
86
170
122
149
156
129
384
5.968
534
68
12
90
511
333
180
119
Larceny-
Ihen
192
245
164
648
2,215
1,129
202
8,011
195
1,219
360
1,520
1,602
122
1,000
528
346
360
234
898
568
1,139
417
477
164
370
379
220
141
559
619
381
450
328
251
572
951
663
879
438
243
1,126
242
586
1,101
287
353
837
338
979
11,400
1,278
226
98
211
1,532
686
500
367
Motor
vehicle
theft
13
8
51
2,118
74
26
4,228
22
468
24
325
278
10
349
132
10
116
55
198
162
151
27
188
11
31
36
7
9
132
203
41
24
59
23
35
82
93
86
61
27
327
30
70
79
33
46
83
47
130
13,891
304
21
9
54
642
100
113
II5I
89
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Oakland
Ocean City
Ocean Township
Old Biidge
Orange
Palisades Park
Paramus
Parsippany-Troy Hills
Passaic
Paterson
Pemberlon Township
Pennsauken
Pennsvjile Township
Pequannock Township
Perth Amboy
Phillipsburg
Piscataway Township
Plainfield
Platnsboro Township
Pleasantville
Point Pleasant
Pompton Lakes
Princeton
Princeton Township
Rahway
Ramsey
Randolph Township
Rariton Township
Readington Township
Red Bank
Ridgefield
Ridgefield Park
Ridgewood
Ringwood
River Edge
Rockaway Township
Roselle
Roselle Park
Roxbury Township
Rutherford
Saddle Brook Township
Sayreville
Scotch Plains
Secaucus
Somers Point
Somerville
South Brunswick Township
South Orange
South Plainfield
South River
Sparta Township
Springfield
Stafford Township
Summit
Teaneck Township
Tenafly
Tinton Falls ,
Totowa
Trenton
13,048
15.535
23,932
56,292
31,806
13,582
26,016
49,617
54,238
140,080
31,212
34.534
13,784
13,572
37,786
16,170
43,757
46.294
10,713
14.368
18.516
11.065
12,354
14,267
26,852
13,240
19,069
11,840
11,730
11,790
10,068
12,303
25,020
13,361
10.693
19,744
20,630
13,159
19,915
18,596
13,864
34,544
21.737
15.364
10.672
11.619
22.553
15.817
20,469
13,562
14,508
14,126
12,928
21,133
38,652
13,391
10,028
11.307
91.783
330
1,689
1,444
1,742
3,767
313
4,310
1.728
3,848
12,215
1,473
2,239
477
360
1,904
550
1.632
3.714
421
1.123
737
250
946
405
1,047
580
597
297
210
668
282
256
275
193
294
1,190
1,085
372
660
466
686
1,032
496
1,411
526
444
691
1,160
1,006
222
333
378
387
625
1,359
270
395
916
11,615
331
1,691
1.449
1.768
3.800
313
4.340
1.735
3.855
12.270
1.485
2.253
484
362
1.930
553
1.643
3,734
422
1,139
741
250
946
405
1,049
582
599
297
210
670
283
257
276
193
295
1,193
1,107
372
663
468
689
1,045
498
1,412
528
448
698
1,162
1,010
222
-341
379
390
626
1,363
270
401
916
11,642
91
20
17
312
43
19
351
1,249
24
78
I
3
97
7
27
390
2
62
2
9
1,061
10
23
14
113
289
1
71
27
188
1,160
110
80
3
117
28
163
171
10
125
12
4
18
5
23
U
4
6
10
30
2
17
9
7
13
24
18
10
13
10
10
34
20
9
13
14
2
11
3
101
I
27
1.021
59
325
233
424
653
85
207
390
734
2.931
652
459
43
49
531
135
375
1,008
87
288
125
36
291
176
202
73
97
25
29
97
61
52
32
43
54
119
256
57
102
64
75
181
72
70
122
88
186
209
132
73
58
30
64
160
256
92
75
55
2,842
250
1,308
1,089
1,000
1,395
172
3.311
1,089
1,586
4,770
541
1.031
398
285
743
360
940
1.756
297
564
565
189
599
207
634
444
480
246
152
493
166
156
207
137
210
869
487
221
500
332
529
568
349
1.004
361
314
409
555
783
117
247
230
288
395
866
159
271
709
4,532
II
20
84
179
1,088
55
668
166
967
2,006
123
584
24
19
392
19
114
362
24
62
33
21
25
15
140
47
13
17
15
35
49
25
20
6
12
169
256
81
29
51
72
176
46
300
25
20
55
321
56
17
10
113
20
60
108
18
18
134
2.056
90
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slale
NEW JERSEY— Continued
Union City
Union Township .
Ventnor City
Vernon Township
Verona
Vineland
Voorhees Township..
Waldwick
Wallington
Wall Township
Wanaque
Warren Township
Washington Township (Bergen County)
Washington Township (Gloucester
County)
Washington Township (Morris County)
Wayne Township
Weehawken Township
West Caldwell
West Deptford Township..
Westfield
West Milford Township....
West New York
West Orange
West Paterson
West Windsor Township .
Westwood
Wilhngboro Township
Winslow Township
Woodbridge Township .
Woodbury
Wyckofr
NEW MEXICO
Alamogordo
Albuquerque
Artesia
Carlsbad
Clovis
Deming
Farmington
Gallup
Las Cruces
Las Vegas City
Los Alamos
Lovington
Portales
Rio Rancho
Roswell
Silver City
NEW YORK
Albany ,
Amherst Town
Amsterdam
Auburn ,
Batavia ,
Populalion
56,171
51,137
11,750
19,241
14,196
54,007
19,593
10.521
10,521
19,986
10,662
10.229
10.209
33,134
14,438
49,737
13,310
11,568
18,596
30,507
25,251
41,048
41,028
11,478
10,521
10.985
39.287
25,422
94,159
10,481
15,676
28,311
371,756
11,779
28,230
34,241
11,485
39,583
22,777
54,828
15,833
18.448
11.961
10.319
26.882
44.712
11.343
97.309
104.189
20.822
31.443
15,977
Crime
Index
tolal
4,227
3,498
446
611
315
4,280
1.277
176
331
595
193
201
96
1.218
277
3.695
1.041
246
593
747
674
2,365
1,545
708
642
343
1,853
906
4.669
609
281
1,813
37,008
506
1,893
1.928
813
2,794
3,012
5.621
1.414
389
579
599
717
3,093
870
6,144
3.140
365
1.717
678
Modified*
Crime
Index
lolal
4.228
3,508
448
614
316
4.331
1.285
179
332
605
196
205
96
1,230
282
3,703
1,042
247
593
748
684
2,368
1,547
711
642
343
1,858
927
4,711
610
281
1,817
37,199
511
1,895
1,938
820
2,817
3,020
5,635
1,419
390
579
600
718
3.101
Murder
and non-
negligent
man-
slaughter
873
6.209
3.155
365
1. 719
680
Forcible
rape
16
36
10
Robbery
2
211
2
3
28
1
27
25
31
6
180
93
4
2
4
105
24
Aggra-
vated
assault
15
987
1
19
23
3
36
51
65
16
I
3
4
1
33
335
3«
5
12
3
185
52
19
11
23
255
15
7
7
23
131
52
24
4
3
66
62
99
19
9
93
2,599
10
74
104
45
149
207
193
187
32
20
90
65
148
45
417
180
17
16
3
Burglary
853
396
91
72
57
984
146
15
77
117
38
42
24
249
60
310
196
35
70
91
184
405
391
53
107
71
816
248
761
115
39
462
9,965
104
466
389
156
534
372
1,415
368
46
137
120
226
716
195
2.046
472
119
265
122
Larceny
Ihell
1.927
2,030
318
505
197
2,597
919
147
176
422
136
139
54
799
195
2,456
606
189
439
612
418
1.165
784
507
505
243
815
502
2.673
403
220
1,161
20.913
372
1.274
1.312
553
1,923
2.181
3.661
772
303
401
353
390
2.091
Motor
vehicle
Ihefl
592
2.919
2.193
215
1.396
543
1.059
919
II
20
34
303
172
6
70
34
6
10
14
109
9
12
5
850
8
144
1
15
1
68
32
1
44
10
595
3
271
2
113
3
22
23
100
5
64
21
1.079
42
55
1
12
79
4
2.285
191
17
5
56
2
71
10
54
7
119
23
170
8
255
14
63
5
6
1
16
31
I
33
1
80
8
29
3
347
65
252
15
7
24
2
7
2
91
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Iheft
Motor
vehicle
theft
NEW YORK— Continued
Beacon
Bedford Town
Bethlehem Town
Binghamton
Brighton Town
Buffalo
Camillus Town
Canandaigua
Carmel Town
Cheektowaga Town
Clarkstown
Clay Town
Cohoes
Colonie Town
Coming
Cortland
Depew Village
Dewitt Town
Dunkirk
East Aurora - Aurora Town
East Greenbush Town
East Hampton Town
Elmira
Endicott Village
Evans Town
Fishkill Town
Floral Park Village
Fredonia Village
Freeport Village
Fulton
Garden City Village
Gates Town
Geddes Town
Geneva
Glen Cove
Glens Falls
Glenville Town
Gloversville
Greece Town
Greenburgh Town
Hamburg Village
Hamburg Town
Harrison Town
Haverstraw Town
Hempstead Village
Irondequoil Town
Ithaca
Jamestown
Johnson City Village
Kenmore Village
Kingston
Lackawanna
Lancaster Village
Lockport
Long Beach
Lynbrook Village
Mamaroneck Town
Mamaroneck Village
Massena Village
Middletown
13.741
16,449
26,067
53.067
34,894
325,787
23,670
12,226
29,046
91,243
77,103
50.520
17.171
70,890
11,996
19,057
19,398
22.166
14,764
13.580
13,490
10,220
32,547
14,152
16,058
15,165
17,021
10,521
40,440
13,600
22,176
30,139
11,243
15,566
24,122
16,128
21,063
16,800
84,491
28,795
10,611
39,527
22,988
22,467
42,857
56,066
26,559
34,813
16,509
17,341
24,242
21,444
13,450
24,713
32,988
19,809
11.661
17.091
12.317
22.226
470
410
549
2,590
1.122
25,053
429
363
526
3,188
1,924
498
472
2.883
415
1.044
654
1.258
806
290
410
758
2,382
611
438
200
341
172
2,185
667
652
1,273
249
567
618
421
358
850
2,925
2,130
216
1,711
516
443
3,139
2,035
2,174
1,885
951
371
1.190
1.019
296
1.450
1.330
518
365
804
453
1.377
478
410
553
2.599
1.127
25,611
429
365
531
3,236
1,928
498
488
2,895
415
1,053
817
294
412
758
2,398
442
201
173
680
1,281
249
573
618
424
362
854
2,928
2,137
217
1,738
516
444
3,150
2,038
2,186
1,913
371
1,031
1,451
1,339
519
365
804
453
1,389
35
22
10
268
4
7
7
17
1
27
27
1,552
7
6
3
51
35
155
4
IS
47
4
4
2
4
36
39
1
9
6
3
315
51
25
17
2
6
27
25
1
18
45
11
9
21
18
9
1,700
7
24
34
208
79
21
49
6
21
19
13
56
19
161
6
5
411
9
59
21
34
30
162
221
28
148
28
24
179
52
163
353
204
6,825
38
53
113
758
362
99
148
431
50
175
88
300
193
71
78
235
389
92
110
41
54
37
460
137
150
254
56
105
176
130
77
209
334
310
46
315
89
97
706
347
479
375
97
51
187
247
72
402
343
127
75
131
106
381
232
313
354
2,060
840
11,252
364
260
337
1,873
1,307
397
246
2,308
309
798
485
912
567
196
274
450
1,828
489
275
136
213
114
1,214
480
375
908
183
421
310
243
232
595
2,420
1,488
142
1,146
346
306
1,479
1,591
1,538
1.415
808
254
753
430
178
822
764
285
234
573
328
858
31
36
10
109
32
3,421
13
16
39
291
134
2
39
94
20
28
30
23
19
11
19
28
36
13
16
7
52
10
267
34
86
52
6
2
61
37
25
23
113
228
75
69
30
191
36
59
57
9
29
54
91
16
54
144
69
40 .
83 .
12
71
92
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Crime
Index
total
ModiHcd*
Crime
Index
total
Murder
and non-
ncgligcnl
man-
slaughter
F-orcihle
rape
Robbery
Aggra-
vated
assault
Burglary
l-arceny-
Ihefl
Motor
vehicle
theft
NEW YORK— Continued
Mount Pleasanl Town -
Mount Vemon
Newburgh
Newburgh Town
New Castle Town
New Hartford Town & Village
New Pallz Town & Village
New Rochelle
New Windsor Town
New York
Niagara Falls
Niskayuna Town
North Greenbush Town .
North Tonawanda
Ogden Town
Ogdensburg
Olean
Oneida
Orangetown
Orchard Park Town .
Ossining Village
Oswego
Peekskill
Plattsburgh
Pon Chester Village .
Poughkeepsie
Poughkeepsie Town..
Ramapo Town
Riverhead Town
Rochester
Rockville Centre Village..
Rome
Rotterdam Town
Rye
Saratoga Springs
Saugerties Town
Scarsdale Village
Schenectady
Southampton Town..
Southport Town
Spring Valley Village.
Stony Point Town
SufFem Village ,
Syracuse
Tonawanda
Tonawanda Town .
Troy
Ulster Town
Uttca
Vestal Town
Wallkill Town
Watertown
Warwick Town
Webster Town and Village..
West Seneca Town
White Plains
Yonkers
Yorktown
23.')79
68.604
24.443
22.406
16.058
20.882
10.652
69.376
23.259
7,284.319
64,742
18.625
10.391
34,643
14,694
12,307
17,482
10,481
35,877
23,420
21.333
18.966
19.478
20.862
22.928
30.079
39.407
58.565
21,995
236,672
25,526
42,155
28,996
15,015
24,433
14,804
17.713
67.410
33.971
10.471
21,755
13,009
11.033
161.228
18.294
66.708
54.121
12.457
69,647
27,482
21,785
27,120
15.466
29.096
49.306
45.475
186.634
33,479
414
3.951
3.248
1.323
201
448
377
2.558
856
656.505
4.124
777
199
954
335
432
898
511
599
797
793
855
806
773
1.119
2.039
1.895
1.283
968
23,187
846
1,349
777
450
1,815
289
349
3,327
1,585
49
1,753
191
305
13,278
451
1,784
2,956
458
2,669
493
364
1,240
158
728
1,621
2.987
10.172
1,001
414
3,971
3.309
203
450
382
2,573
870
662.954
4.142
199
959
432
901
515
600
804
798
806
1.121
2.057
1.284
23,480
849
782
451
1,824
289
349
3,347
49
1,765
196
315
13,420
456
1,792
2,966
460
2,675
494
367
160
1.647
2.988
10.242
1.017
3
1.672
4
I
29
14
7
3
3.507
31
5
I
7
5
2
3
3
5
1
2
17
5
2
5
165
1
2
4
307
265
25
1
3
4
138
16
78.890
197
5
1
7
1
2
2
3
2
41
5
43
5
43
184
18
23
33
1.021
33
22
5
3
14
136
19
84
2
2
494
3
13
83
2
120
3
6
83
638
9
22
300
369
22
4
2
45
89
67
64,244
158
28
16
22
10
1
3
3
65
50
78
20
26
45
31
50
73
50
121
1,278
12
21
32
6
228
6
2
35
44
98
4
2
563
51
105
82
10
39
3
5
21
2
8
67
43
280
15
90
842
1,041
236
47
70
81
552
218
123,412
1,172
129
68
241
70
105
115
82
94
181
205
162
263
184
158
552
261
371
357
5.418
141
434
156
78
298
115
89
1,291
562
2
442
50
94
4,721
89
462
873
124
1,045
89
55
244
51
116
345
298
2,216
137
256
1.835
1.344
958
135
367
231
1.348
488
289.126
2.297
596
100
636
245
308
752
402
404
533
406
619
423
510
761
1.124
1,471
748
430
14,093
556
867
547
322
1.217
147
251
1.585
842
47
1,010
125
189
6.836
275
1.062
1,678
303
1.273
381
287
930
94
576
1.054
2.297
5.349
799
41
639
198
81
13
6
16
421
64
95.654
265
14
12
41
9
17
26
22
28
29
59
46
43
28
122
112
65
88
22
1,183
103
1
37
41
44
19
7
251
112
99
8
18
563
31
139
215
19
175
20
17
34
11
21
145
262
1.647
41
93
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slate
Population
Cnme
Index
total
Modified-
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
NORTH CAROLINA
14,869
15,983
61,065
10,746
37,303
706
926
5.248
534
1.956
709
928
5.257
534
1.964
1
1
9
1
6
5
3
25
3
8
8
9
93
1
25
64
28
219
39
106
184
166
1.396
108
425
425
674
3.216
363
1.296
19
45
290
19
90
3
2
Asheville
Boone
Burlington
9
8
Cary
Chapel Hill
Charlotte
31,773
33,971
356,596
20,358
115,344
15,790
76,744
12,914
53,529
35,440
1.108
2.182
39.609
1,135
10,528
864
9,090
614
5,341
2,807
1.109
2.185
39.943
1.148
10.570
872
9.157
615
5.391
2.820
1
7
308
4
70
4
73
28
8
8
28
1,486
19
307
3
338
6
121
72
29
79
4,146
76
320
103
762
32
411
204
158
604
10.117
270
2.973
183
2.494
141
1.424
837
869
1,375
21,723
704
6.312
540
4.880
396
3.079
1.572
43
89
1.777
58
532
31
529
39
274
105
I
3
52
4
14
14
4
9
334
Concord
13
42
Eden
Fayetteville
Gamer
Gastonia
Goldsboro
8
67
1
50
13
Greensboro
178,921
39,238
23,863
16,347
26,081
11,725
3,136
394
2.024
1.933
11.810
3.158
394
2.036
1.946
18
2
3
2
81
18
3
6
19
310
86
5
28
32
671
166
30
135
132
2,534
716
130
662
444
7,655
2,016
200
1,099
1,211
456
132
26
91
93
85
22
Havelock
Hickory
12
13
High Point '.
67,416
29,150
32.503
25.372
12.276
5,703
2.781
1.187
2.200
1.128
5.737
2.787
1,191
2,212
1,141
4
4
4
3
23
9
6
15
3
123
47
17
66
24
437
184
98
154
59
1.274
551
252
665
248
3.568
1.881
763
1.251
757
274
105
51
45
34
34
6
4
12
13
14.362
15,659
19,376
18,130
15,618
1.284
1.055
1.768
1.235
818
1,293
1,065
1.776
1,238
822
2
4
2
10
5
10
5
2
19
14
32
28
8
66
70
153
183
53
241
349
415
329
134
896
570
1.080
648
582
50
43
76
42
37
9
10
8
3
Morganton
2
4
New Bern
Raleigh
Reidsville
19,254
182,750
12,458
15.295
48,739
1,497
12,669
465
706
4.187
1.505
12.737
467
707
4.194
1
15
1
6
16
78
4
2
19
35
384
8
1
89
103
647
35
29
214
356
3.240
102
132
1,135
929
7.640
299
529
2.561
57
665
17
12
163
8
68
2
Roanoke Rapids
Rocky Mount
1
7
24,531
18.201
15.233
19,548
10,372
1.644
1.466
993
1.517
797
1.660
1,470
1,002
1,519
800
6
1
2
4
1
5
6
6
8
8
46
18
19
30
12
111
155
69
37
73
468
320
233
231
164
951
915
627
1.140
506
57
51
37
67
33
16
Sanford
4
Shelby
9
Statesville
2
Tarboro
3
Thomasville
Wilmington
15,689
55,130
149.984
1.207
6,297
13.562
1.209
6.331
13.772
1
7
22
4
28
103
14
202
365
68
240
2.077
377
1,729
3,543
688
3.818
6.801
55
273
651
2
34
Winston-Salem
210
NORTH DAKOTA
Dickinson
Fargo
Grand Forks
47.475
17,116
67,220
44,560
15,545
2.577
614
3.865
2.478
675
2.579
625
3,865
2,481
689
3
1
2
7
8
6
1
12
1
12
8
4
17
16
26
26
4
419
116
447
387
101
2.035
461
3.164
1.940
527
92
13
208
108
37
2
11
3
14
15,584
35,428
11.128
1 5.407
602
1.557
447
708
606
1,565
450
709
3
4
7
1
2
1
6
6
6
2
103
164
77
51
469
1.326
341
630
23
56
18
18
4
8
West Fargo
Willislon
3
1
OHIO
227.552
23.758
18.152
2.006
18,354
2,028
21
1
129
4
704
71
1.292
129
4.073
444
10.346
1.295
1.587
62
202
Alliance
22
94
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Cnmc
Index
total
Mixlified*
Crime
Index
total
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robhery
Aggra
valcd
assault
Burglary
larceny-
theft
Motor
vehicle
theft
OHIO— Continued
Amhcrs!
Ashlatid
Ashtabula
Athens
Avon Lake
Barberton
Bay Village
Beavercreek Township
Bedford
Bedford Heights
Berea
Bexley
Blue Ash
Bowltng Green
Brecksville
Broadview Heights
Brookfield Township
Brook Park
Brunswick
Bucyrus
Cambndge
Canton
Centerville
Chtlltcothe
Cincinnati
Circleville
Cleveland
Cleveland Heights
Columbus
Conneaul
Cuyahoga Falls
Dayton
Defiance
Delaware
Delhi Township
East Cleveland
East lake
Elyna
Englewood
Euclid
Fairborn
Fairfield
Fairview Park
Forest Park
Franklin
Fremont
Gahanna
Gallon
Garfield Heights
Girard
Goshen Township
Greenville
Grove City
Hamilton
Kent
Lancaster
Liberty Township
Lima
Lorain
10.5')5
iq.TlS
22.689
21,057
13,409
28,541
17,580
35,233
14,967
12,411
19,111
13,628
10,837
24,581
10,677
10,876
10.956
25,417
28.728
13.415
13.022
89.363
19.637
23.911
371.585
11.901
548.171
57.106
567.800
13.408
42.542
181.698
16.147
19.449
30,085
36,805
22,197
57,362
11,152
58,158
28.737
32.581
18.546
18,483
10,659
17,369
20,282
12,011
33,794
12,830
13,165
12,596
17,494
64,157
27,932
34,813
13,409
46,186
73,006
458
442
1,586
904
218
1,701
163
1,042
695
473
535
625
569
1.174
119
158
213
929
511
537
735
5.838
665
2.544
27.197
624
45.408
1.909
51.941
454
1.743
19.683
872
884
530
2.563
607
2.494
478
2.393
986
1,842
538
629
618
540
702
523
938
275
308
626
845
5.499
1.147
1.960
824
3.509
2.191
458
442
1,616
904
219
1.730
168
1,048
698
475
540
627
572
1,175
120
162
213
934
512
540
735
5,931
673
2,547
27,751
626
46,365
1,909
52,772
455
1,772
20,015
876
890
532
2,582
619
2,523
480
2,396
986
1,847
542
618
661
709
940
275
311
631
847
5,584
1,157
3,562
2,197
145
1
85
10
75
1
14
344
3
750
1
534
10
242
1
12
2
24
5
26
4
1
2
374
11
45
1,183
2
3,541
43
2,864
3
33
1,595
3
14
5
217
11
43
7
61
13
17
6
13
9
11
15
17
21
2
4
4
10
120
20
21
19
107
55
80
56
69
10
131
5
1
212
13
70
1,571
17
2,528
3
l,i
20
110
907
24
20
3
106
18
67
50
41
25
58
9
9
14
33
8
13
57
8
1
8
11
445
36
235
14
275
79
28
47
380
92
26
297
49
134
72
73
100
167
55
225
22
28
69
146
83
91
142
1,448
77
603
5,733
168
13,153
252
14,218
91
311
5,329
124
179
50
717
135
576
42
444
149
375
122
80
144
155
136
110
254
67
43
130
92
1.410
217
313
116
1,015
755
403
291
1,023
692
174
1,129
100
846
494
226
328
396
478
879
84
103
92
546
362
410
560
3,350
526
1,735
17,055
405
14,773
1,203
28,785
304
1,177
10,310
698
525
443
859
377
1,440
358
1,495
755
1,300
349
507
412
418
521
360
445
160
238
456
675
3,197
804
1,316
484
1,996
1,101
15
21
89
46
7
96
7
35
95
125
79
24
10
26
10
18
27
209
40
21
30
367
35
72
1,242
29
10,508
405
3,555
35
101
1,265
21
34
17
525
61
242
10
342
41
84
50
11
38
21
18
21
154
38
22
17
52
255
52
73
190
78
157
95
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Stale
Population
Cnme
Index
total
Modified'
Crime
Index
total
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OHIO— Continued
Lyndhurst
Madison Township (Lake County)
Madison Township (Montgomery County)
Mansfield
Maple Heights
Marietta
Marion
Mason
Massillon
Maumee
Mayfield Heights
Mentor
Miamisburg
Miami Township
Middleburg Heights
Middletown
Montgomery
New Philadelphia
Niles
North Canton
North College Hill
North Olmsted
North Ridgeville
Norton
Norwalk
Norwood
Parma -
Parma Heights
Perkins Township
Perrysburg
Piqua
Portsmouth
Randolph Township
Reading
Reynoldsburg
Salem
Sandusky
Seven Hills
Shaker Heights
Sharon ville
Sheffield Lake
Solon
South Euclid
Steuben ville
Stow i
Strongsville
Sylvania
Sylvania Township
Tallmadge
Toledo
Troy .
Union Township (Butler County)
Union Township (Clermont County)
University Heights
Upper Arlington
Urbana
Vandalta
Vermilion
Wadsworth
16,942
15,604
22,082
52,041
28,788
16,558
35,934
10,199
30.893
16,316
20,262
42,982
16,243
17,822
15,441
43,921
11,223
17,069
22,534
14,903
10830
36,128
21,916
11,991
14,526
25,458
90,494
22,785
10.431
10.728
20,123
24.519
12.470
12.426
22,457
12.658
30.688
13.228
31,546
10,678
10,462
15,747
25,210
24.412
25.829
31.222
15.895
18.948
14.406
344.963
19.432
26.530
30.001
15.536
36.174
10,979
12,740
11,236
15.109
246
497
1,603
4,023
1,031
502
2,648
327
1,787
927
754
1,686
1,116
698
798
2,526
359
538
1,216
278
407
1,448
458
282
464
1,106
2,305
418
581
243
1.091
1.440
235
415
1.260
374
2.073
141
1,812
1,132
201
522
656
1,333
879
954
629
1,023
553
29,356
631
1,205
2.038
380
1.155
528
510
337
329
250
499
1.610
4,047
1.032
509
2.656
327
1.809
927
760
1,139
708
801
2,551
360
539
1.216
278
407
1.470
462
283
464
1.111
2.335
430
581
244
1.094
236
416
1.271
377
2,087
143
1,829
203
534
664
887
963
631
1.025
556
29.756
638
1.214
2,047
383
1.161
528
526
338
340
2
4
3
1
5
9
3
360
4
4
II
5
5
7
1
48
128
26
4
46
3
43
3
12
21
15
6
10
28
4
3
12
38
2
107
13
3
3
11
51
13
5
U
18
3
1.299
5
7
22
4
6
4
II
26
46
400
12
21
32
25
139
6
5
II
25
49
18
38
2
20
86
24
18
14
7
7
9
106
22
10
1
5
55
6
6
40
44
106
9
40
15
45
10
5
63
8
6
8
21
20
1.075
15
28
119
12
45
31
13
46
83
318
1.070
221
153
621
39
367
157
72
252
200
122
120
551
57
85
177
64
65
179
110
70
69
259
495
124
32
41
176
512
73
42
216
33
490
34
587
226
24
100
117
464
163
296
97
154
151
6.964
127
229
193
54
146
82
82
61
52
175
360
1,111
2,199
570
283
1.866
241
1.158
714
559
1.263
780
484
493
1,781
283
402
757
181
303
980
300
171
374
722
1.363
220
513
192
852
764
142
326
928
280
1.330
85
725
811
126
349
425
684
668
580
490
756
342
16,736
459
881
1,564
249
927
382
372
248
242
21
25
69
190
197
35
72
13
65
44
106
137
82
32
153
99
11
25
181
5
251
34
27
19
83
279
41
18
7
41
75
11
36
51
15
83
II
349
59
2
60
96
65
24
65
18
65
34
2.889
20
54
127
56
26
22
31
19
25
96
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cuy by Stale
Population
Cnmc
Index
lolal
MixJificd*
Crime
Index
total
Murder
and nt>n-
negligent
man-
slaughter
Forcible
rar*c
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
OHIO— Continued
Warren
Warrensville Heights
54,218
16,401
12,677
13,310
24,952
21.575
16.005
19,833
10.587
19,526
18.777
24.165
108,364
28.421
16,837
24,795
29,705
21,697
49,225
16,481
16.124
10.037
25,855
22.063
13,115
50,462
11,858
16,600
49,838
12,125
81,988
18,629
14,056
52,927
41,435
42.048
10.868
77,593
441,408
15,679
27,903
14,630
19,995
27,290
36.258
12.799
369.961
12.165
10,532
11,027
14,442
24,776
29,301
15.832
3.168
1.083
745
794
1,180
585
383
878
310
1,022
633
1,381
7,091
2,072
1,167
1.974
2.271
1.327
1,920
1,375
772
741
2,120
1,201
1.264
2.015
565
719
3.917
837
6,512
1,164
901
4.718
2,793
3,561
419
4,926
56,057
1,372
1.073
890
975
2,538
1,636
586
36,513
1.007
983
386
475
913
1,787
792
1,096
747
795
1.191
593
386
888
312
1.026
640
1.389
7.109
1,175
1,981
2,291
1,329
1,932
1,382
773
747
2,138
1,208
1,266
2,029
568
725
3,940
846
6,551
1.167
902
4.734
2.810
3.582
421
4.938
56.462
1.381
1,080
902
1,011
2,559
1,643
594
36,736
1,013
984
391
486
918
1,808
796
5
1
67
14
6
3
3
2
1
5
148
42
4
12
17
6
7
8
4
5
8
13
351
52
5
17
22
6
17
12
10
12
43
8
4
33
1
15
55
14
150
19
9
79
28
74
3
45
1,322
28
2
14
12
29
10
12
1,074
22
17
3
1
7
28
8
269
29
24
29
62
20
7
11
14
10
8
29
786
119
87
106
55
25
87
62
60
43
54
40
96
29
22
35
192
100
385
53
22
55
97
141
4
85
2,047
105
30
12
18
99
58
23
1,786
54
12
5
33
7
24
23
1,133
308
196
148
219
121
68
157
26
150
78
167
2,356
555
353
368
467
285
494
383
170
192
694
340
248
528
143
168
1,136
265
1,986
321
171
1,065
713
974
129
1,349
17,345
443
230
229
247
828
287
147
9,504
205
236
111
102
191
490
168
1,277
465
485
533
843
371
239
623
254
783
500
1.126
2.315
1,268
660
1.347
1,652
901
1,171
828
455
466
1,055
761
845
1,265
376
424
2,385
386
3,612
674
650
2,909
1,769
2.014
251
3.062
28.159
660
742
548
608
1,402
1,183
357
18,322
617
640
251
312
630
1,103
528
269
224
30
67
36
65
61
74
12
62
35
41
1,212
69
56
132
65
106
132
85
73
24
262
51
67
148
22
70
122
62
316
94
45
588
177
332
29
349
6,755
124
55
84
87
174
90
45
5,558
99
77
13
23
78
133
61
13
2
West Carrollton
2
1
Westerville
11
Westlake
8
Wicklifftf
3
WillouBhbv
10
Wilmington
2
1
2
1
20
1
1
1
11
2
4
51
8
5
3
10
3
15
5
4
2
9
1
3
12
4
Worthinston
7
Xenia
8
Youngslown
Zanesville
OKLAHOMA
Ada
18
8
7
20
I
4
2
3
2
Broken Arrow
12
7
1
Clinton
6
18
7
Durani
1
2
14
Elk City
1
1
3
1
6
1
3
6
24
9
57
2
4
18
6
22
3
33
381
12
14
3
1
5
6
2
234
10
1
3
4
6
Enid
23
9
39
McAlester
3
1
Midwest City
4
3
4
3
48
16
17
21
2
12
405
9
7
12
2
1
2
35
36
Shawnee
Stillwater
21
7
Tahlequah
8
223
Village
6
1
5
Woodward
11
5
OREGON
Albany
Ashland
8
4
21
4
97
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Srale
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
OREGON— Continued
Beaverton
Bend
Coos Bay
Corvallis
Eugene
Forest Grove
Grants Pass
Gresham
Hermiston
Hillsboro
Keizer
Klamath Falls
Lake Oswego
Lebanon
McMinnville
Medford
Milwaukie
Newberg
Ontario
Oregon City
Pendleton ;
Portland
Roseburg
Salem
Springfield
The Dalles
Tigard
Tualatin
West Linn
Woodburn
PENNSYLVANIA
Abington Township
Allentown
Altoona
Aston Township
Beaver Falls
Berwick
Bethlehem
Bethlehem Township..
Bloomsburg Town
Bristol
Butler
Butler Township
Cain Township...
Carlisle
Cheltenham Township .
Coal Township
Coatesville
Columbia
Cranberry Township
Cumru Township
Derry Township
Doylestown Township
Dunmore
East Hempfield Township .
East Norriton Township -...
East Pennsboro Township ,
34,652
19,184
16,631
40,266
106,430
11,924
17,387
39,226
10,369
31,229
20.325
18.497
25,010
10,652
15.276
44,002
18,134
11.419
10,198
14,953
14,418
390,845
16,316
94,838
38,771
10,491
19,517
11,106
13,429
11,843
58,911
104,771
53.369
15.521
11.154
15.360
70.617
12.951
11.595
10.581
16.495
17.659
10.581
20.059
36,232
10.581
11.445
11.274
12.901
15.551
17.659
12.619
16.244
17.750
13.433
14,085
2,592
1,763
1,338
2,284
10,419
864
1,974
3,276
666
1,536
1,120
1.754
1.068
1,083
1,118
3,885
957
613
847
1,214
809
64,802
1,604
9,319
3,573
925
1,664
776
461
1,228
1,990
6,113
1,847
241
331
246
2,627
286
371
626
520
364
490
761
2,231
137
512
468
244
520
575
283
347
484
464
320
2,601
1,765
1,347
2,311
10,458
871
1,988
3,300
667
1,550
1,126
1,764
1,085
1.090
1,120
3,897
961
616
849
1,219
812
65,281
1,610
9.369
3.590
930
1.672
778
463
1.234
1,998
6,151
1.868
244
335
250
2.631
288
377
6.34
521
364
492
769
2.252
137
514
476
247
521
575
287
350
487
464
321
3
10
3
407
4
54
21
59
13
12
12
161
8
15
110
2
15
6
3,667
33
203
47
7
51
9
2
13
42
207
25
3
17
1
66
4
1
49
33
19
166
12
23
114
1
5
14
62
14
24
10
69
6
37
19
95
28
4,623
18
57
103
22
16
3
2
16
78
184
48
25
26
6
83
14
9
30
30
6
37
41
27
1
38
30
2
5
23
2
2
3
13
650
227
319
514
2,459
235
428
154
446
214
416
326
181
232
795
296
128
110
195
200
15,185
286
2,082
998
222
406
182
137
332
262
1,648
552
39
117
75
546
38
72
176
113
48
71
150
368
128
45
102
65
56
49
91
78
82
1,733
1,441
1,643
7,035
560
1,418
1,799
484
947
795
1,182
672
824
825
2,770
528
407
689
825
529
35,695
1,169
6,488
2,212
620
1,111
548
302
814
1,344
3,739
1.136
144
143
142
1.811
222
277
328
353
285
358
536
1.443
116
318
280
172
382
471
205
257
367
340
214
133
70
81
87
547
45
86
348
25
90
64
65
45
38
43
170
102
33
24
74
43
5,159
94
433
191
45
76
33
15
52
258
299
62
30
23
17
103
7
10
43
15
24
19
21
300
9
39
18
15
20
13
14
32
19
25
98
Tabic 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987^-Continued
Cily by Slale
Population
Crime
lndc\
(olal
Modifini*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PENNSYLVANIA— Continued
Ephrata
Eric
I'xclcr Township
Fariview Township-.
Falls Township
Greenville
Hanover
Hanover Township....
Havcrford Township .
Hermtlage
Horsham Township...
Indiana
Jeannelle
Johnstown
Lancaster
Lancaster Township.
Lansdowne
Logan Township ,
Lower Allen Township
Lower Merrton Township
Lower Southampton Township
Manheim Township
Manor Township
Meadville
Millcreek Township .
Monessen
Moon Township
Morrisville
Murrysville
Newberry Township..
New Castle
Newtown Township ..
Norristown
North Huntingdon Township .
North Middleton Township....
Oil City
Palmer Township
Peters Township
Philadelphia
Phoenixville
Pittsburgh
Plains Township
Plymouth Township..
Pottslown
Pottsville
Radnor Township ....
Reading
Richland Township..
Ridley Township
Rostraver Township..
Salisbury Township..
Scott Township
Sharon
Springettsbury Township
Spnngfield Township (Delaware County)
Spnngfield Township (Montgomery
County)
State College
Stroud Township
12..118
115.724
15.481
1.1.071
36.543
11.144
1 5.4b 1
12,348
52.114
16.756
19.356
14.868
12,318
31,965
57,425
11.515
11,716
12.439
15,491
59.975
19.306
27.428
13.583
14.156
45.348
10.471
20,611
10,270
16,264
11.656
30.771
12.168
33,913
30,128
10,933
13,021
14,417
13,794
1,649.364
14.045
389.015
11.254
16,615
23,743
17,117
29,496
77.926
13.242
33.652
11.194
13.091
18,683
16,214
20,591
25.028
19.768
44.705
10,059
382
6,071
410
282
1.323
143
536
280
732
593
632
393
227
1.266
3.386
283
194
539
545
1,770
578
910
284
766
1,155
209
590
596
298
249
1.273
187
2.062
544
121
361
459
233
94,575
473
30,836
299
958
1,097
523
611
5.397
303
604
265
203
238
749
623
758
439
1,933
341
382
6,117
410
282
1,353
145
538
283
733
596
646
406
235
1,282
3,406
283
195
545
549
1,772
580
915
284
766
1,167
211
590
596
305
249
1.293
189
2,068
549
122
363
459
233
95,931
475
31,251
299
960
1,107
527
611
5,458
310
610
269
203
243
772
625
758
441
1,938
345
338
37
1
1
1
10
1,102
1
263
1
1
4
3
1
43
4
6
1
1
2
2
3
1
236
4
1
22
3
7
6
41
135
3
3
7
1
45
3
5
2
9
II
39
2
108
2
1
2
3
9,302
9
2,834
2
12
40
7
7
301
3
5
1
1
10
17
2
13
2
3.30
11
7
77
18
9
28
14
132
89
7
9
5
5
13
20
15
10
16
12
27
70
16
9
7
106
4
286
29
7
6
1
19
6,656
23
1.184
7
65
84
12
16
270
52
24
12
I
9
56
35
1,437
83
60
334
56
80
80
116
53
95
82
62
374
717
46
52
97
82
313
95
133
52
111
324
46
101
123
65
56
402
20
691
113
20
79
49
30
20,070
123
7,647
69
102
201
129
64
1,857
48
115
50
39
52
205
89
94
98
185
46
319
3,664
287
203
692
74
426
170
537
488
463
255
118
612
2.228
210
121
412
442
1,192
397
683
212
606
728
116
339
389
197
167
623
137
833
351
86
250
399
173
41,784
282
11,723
200
629
729
352
478
2,596
184
359
173
155
122
418
506
452
292
1,689
255
23
335
22
10
188
5
17
21
52
31
56
26
25
95
183
16
13
201
61
73
7
21
77
12
68
53
20
19
96
23
129
47
7
22
15,323
35
7,148
20
148
38
20
44
320
12
95
28
7
44
50
19
170
99
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slale
Population
Cnme
Index
(olal
Modified*
Cnme
Index
lolal
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thefl
Motor
vehicle
theft
PENNSYLVANIA— Continued
Sunbury
Towamencin Township
Tredyffrin Township
Uniontown
Upper Allen Township
Upper Chichester Township
Upper Dublin Township
Upper Gwynedd Township
Upper Providence Township
Upper Saint Clair Township
Upper Southampton Township
Washington
Washington Township
West Chester
West Manchester Township
West Mifflin
West Norriton Township
Whitehall
Whitehall Township
Whitemarsh Township
Whitpain Township
Yeadon
Yorlc
RHODE ISLAND
Barrington
Bristol
Burriltville
Central Falls
Coventry
Cranston
Cumberland
East Greenwich
East Providence
Johnston
Lincoln
Middletown
Narragansett
Newport
North Kingstown
North Providence
North Smithfield
Pawtuckel
Portsmouth
Providence
Smithfield
South Kingstown
Tiverton
Warren
Warwick
Westerly
West Warwick
Woonsocket
SOUTH CAROLINA
Aiken
Anderson
Cayce
11,726
13.443
25,319
13.081
11.766
15.180
22.518
10.973
11.053
19.085
16.525
17,800
10,019
18,814
13,121
24,707
15,380
14,055
21,775
15,099
14,386
12,358
44,605
16,302
20,522
15,827
17,223
30,516
74,595
27,235
10,671
51,011
26,183
17,718
17,982
13,362
29,637
24,356
29.359
10.720
73,462
15,617
158,978
18.153
21.464
14,394
11,414
87,957
19,825
28,898
45,479
18,546
29.081
11.174
475
259
897
695
139
482
369
195
86
168
352
974
199
1.056
740
699
494
131
1.243
511
359
479
3.125
284
446
234
645
907
3.232
784
298
1.591
1.414
945
738
640
2.291
878
1.286
296
3.305
213
19.082
279
588
436
289
5.487
707
1,091
1,743
1,326
2,059
776
482
260
903
703
140
491
371
197
87
168
352
984
206
1.059
744
712
497
131
1,250
513
361
479
3.171
289
446
235
645
917
3,237
784
300
1.605
1.426
945
738
640
2,298
881
1,302
296
3.306
213
19.405
279
588
436
291
5.551
707
1.092
1.759
1.330
2,070
783
35
3
18
143
6
1
35
4
10
75
735
6
2
4
3
24
II
37
6
37
22
137
20
7
38
32
1
36
7
51
46
45
II
194
901
10
3
9
10
343
3
28
100
95
143
75
84
40
193
150
33
90
68
61
31
21
91
227
43
252
94
86
110
13
163
116
65
133
927
48
168
103
269
252
904
167
109
390
413
166
141
209
457
277
389
116
967
58
5,499
96
171
157
60
951
204
291
554
393
508
169
347
189
627
446
91
239
235
120
42
108
217
560
143
647
622
349
320
70
1.004
316
256
224
1.805
215
216
104
221
588
1.722
519
161
948
728
549
503
387
1,555
504
603
145
1,563
132
8,109
114
380
231
186
3,153
448
648
852
738
1,234
459
21
6
45
57
10
62
43
2
7
30
23
95
3
67
16
230
31
38
42
59
19
70
143
9
18
20
104
39
402
76
13
192
230
229
44
32
182
45
226
24
500
23
3,720
50
31
35
26
983
43
109
194
57
110
56
100
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by State
Populaiion
Crime
Index
rotal
ModiHed'
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Rohbcry
Aggra-
valcd
assault
Burglary
Larceny -
theft
Motor
vehicle
theft
Arson*
SOUTH CAROLINA— Continued
Charleston
Columbia
69.863
94.320
13.719
17.319
32.113
13.749
25.370
59.186
22.541
13.223
13.902
10.251
10.718
22.378
28.371
10.109
16.518
62.288
15,635
42,516
12.817
44.828
17.410
29,142
10,353
11,397
25,735
14,838
12.271
13.655
52.614
97.608
16.712
11.609
12,272
23.159
12,747
23.714
10.341
163.929
61.389
26.424
10.048
28.476
24,179
15.840
21.036
18.701
19.560
29.557
15.021
30.497
53.383
45.185
4,789
11,819
804
624
2,663
789
605
6,146
1.649
924
509
1.032
579
1.239
4.027
437
580
6.788
1.547
4.106
361
4,795
1,229
2.394
230
1.120
1.165
523
447
889
3.848
4,163
690
442
447
749
268
1,017
420
14,589
2,854
1,333
423
1.296
780
986
1.208
1,062
962
564
632
942
4.826
2.322
4.805
11,860
807
624
2,679
794
608
6.186
1.657
930
519
1.033
581
1.240
4.029
438
583
6.833
1,562
4,122
363
4,815
1,243
2.407
233
1,123
1.168
525
448
897
3.864
4.199
690
443
451
749
269
1.024
420
14,711
2,870
1.337
425
1.305
781
987
1.210
1.064
965
564
632
4,864
2.334
7
15
1
2
5
1
12
5
1
3
2
5
1
11
2
5
7
1
3
2
42
77
1
2
29
3
4
35
21
6
13
10
3
5
13
3
4
64
16
20
191
396
8
15
54
14
8
162
29
17
8
19
6
16
76
4
17
300
53
69
2
85
24
47
1
25
2
2
3
29
32
1
2
6
14
2
12
6
552
58
14
3
12
6
12
20
35
16
6
5
9
157
27
444
990
103
48
242
72
18
550
292
77
22
148
56
46
90
69
55
618
144
374
19
475
80
265
44
102
22
5
4
19
168
129
13
6
20
38
17
36
47
1,394
258
87
31
64
36
88
43
119
105
5
124
467
50
1,067
2.684
115
119
557
168
105
1,216
290
213
144
170
146
290
1,120
67
148
1,467
416
903
66
I.I8I
262
499
52
247
154
61
83
217
612
780
99
56
82
217
83
204
108
3,445
791
412
66
301
254
181
233
311
178
95
164
240
1.043
538
2.797
6.988
531
399
1.667
481
456
3,912
973
551
289
655
345
836
2,502
271
332
3.869
849
2.592
255
2.807
780
1.485
121
670
937
424
333
632
2,840
3,045
556
358
292
423
149
720
233
7.255
1.523
683
294
845
412
666
786
523
603
436
409
526
2.874
1.557
241
669
45
39
109
51
13
259
44
55
33
29
20
44
226
18
23
459
67
143
19
201
61
78
9
74
41
31
25
17
151
137
16
15
44
55
17
42
23
1.796
190
127
25
69
69
35
120
64
54
21
54
33
244
135
16
41
3
Florence
16
Gaffney
5
3
40
Greenwood
Greer
Hanahan
Lancaster
8
6
10
1
2
1
2
3
North Charleston
45
15
Rock Hill
16
2
39
21
17
1
2
9
20
14
13
3
West Columbia
3
SOUTH DAKOTA
3
Brookings
2
1
1
1
1
1
1
47
39
4
5
3
2
Mitchell
8
16
36
1
TENNESSEE
Athens
4
Brentwood
1
Bnstol
2
26
3
2
1
I
1
2
3
3
1
3
121
31
8
4
4
3
4
5
9
4
1
10
38
12
7
122
Clarksville
16
Cleveland
4
Collierville
Columbia
Cookeville
Dyersburg
2
9
1
1
2
2
Gallatin
3
Henderson ville
Jackson
38
Johnson City
12
101
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slalc
Population
Cnme
Index
(olal
Modified*
Cnme
Index
tola]
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Iheft
Motor
vehicle
theft
TENNESSEE— Continued
Kingsport
Knoxville
Lawrenceburg
Maryville
McMinnville..
Memphis
Millington
Moriistown .
Murfreesboro .
Nashville
Oak Ridge
Red Bank
Shelbyviile
Sinyrna
Spnngfield
Tullahoma
Union City....
Abilene
Alice
Allen
Alvin
Amainllo
TEXAS
Andrews ,
Angleton,.
Arlington .
Athens
Austin
Batch Spiings
Bay City
Baytown
Beaumont
Bedford
Beeville
Bellaire
Belton
Benbrook ..
Big Spring
Borger
Brenham
Brownfield ...
Brownsville..
Brownwood .
Bryan
Burkbumett .
Burleson
Canyon
Carrollton ....
Cedar Hill
Cleburne
College Station.
Conroc
Copperas Cove .
Corpus Christi .
Corsicana
Dallas
Deer Park
31,811
175.089
11,069
18,256
10,907
659,720
18,397
19,863
41,404
487,097
27,212
13,050
13,778
13,758
10,907
16,962
10,573
113,161
22,624
15,438
19,524
166,914
13,788
15,801
251,372
11.272
469,542
19,565
19,484
68,205
120,669
33.604
15,428
14,593
12,942
19,283
26,650
16,082
13,104
10,618
102,765
18,840
62,619
10,970
17,139
11,322
62,357
12,550
23,137
46,204
20,933
21,094
265,593
23,792
1,009,947
25,543
2,352
11,728
359
534
381
63,824
565
1,053
2,477
43,001
1,270
458
508
585
547
642
755
7,518
2,205
647
1,269
12,949
259
803
20,232
1,109
44,338
1.604
1,810
4,362
12,965
2,783
586
722
817
726
1,748
553
628
630
10,023
1,503
4,435
352
804
220
5,416
897
1,462
3,517
1,954
1,333
25,440
2,260
164,452
709
2,368
11,870
367
535
387
64,555
565
1,064
2,486
1.278
459
514
585
547
643
774
7,539
2,208
648
1.280
13,047
262
803
20,282
1,113
44,579
1,627
1,819
4,402
13,026
2,787
588
727
818
731
557
630
634
10,035
1,510
4,448
352
812
224
5,424
1,470
3.519
1,966
1.348
25,550
2,278
165,395
711
143
2
831
2
12
12
509
32
5
1
6
71
1
7
92
1
284
7
1
14
138
13
20
5
323
4
3
70
17
38
5
14
2
13
6
16
166
8
1,260
1
28
439
4
6
2
4.696
23
8
42
2,350
22
6
2
11
19
11
6
198
10
5
11
250
7
511
11
985
18
18
130
462
31
5
24
6
23
25
4
6
2
127
15
55
1
14
1
63
II
9
27
48
9
391
24
9.091
115
831
20
1
43
3,163
96
39
197
2,295
93
16
15
28
79
9
38
326
46
19
42
503
22
26
791
44
1,005
36
179
129
661
25
106
12
13
17
233
21
24
46
1.060
65
235
19
16
7
77
29
28
74
114
36
1,248
43
9,412
15
328
4,008
109
153
107
18,451
115
325
472
11,358
268
126
199
213
115
194
150
2,607
723
185
270
3,200
62
194
4,749
527
11,417
426
497
1,289
4,338
431
138
195
274
176
464
100
131
168
2,142
356
1,547
98
242
38
1,517
395
144
906
475
406
6,477
582
39,237
267
1,776
4,854
190
308
194
22,971
271
555
1.582
22,602
830
276
246
292
314
363
526
4,099
1,361
412
863
8,396
167
531
11,769
494
28,486
992
1,054
2,296
6,758
2,038
315
432
496
428
959
397
439
392
5,610
1,017
2.350
209
454
163
3.449
405
1,195
2.351
1.099
821
16,086
1.509
85,255
365
96
1,490
34
66
27
13,569
56
114
170
3,788
49
28
37
38
17
63
22
251
59
24
77
511
7
38
2.302
32
2,122
124
60
499
590
245
21
57
24
76
54
30
23
19
1,006
32
206
24
73
II
293
55
86
145
208
45
1,052
89
19,874
53
102
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Ocy by Stale
Populalion
Crime
Index
total
MiKliried*
Crime
Index
total
Murder
and non-
ncgligcnl
man-
hlaughter
Forcible
rape
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continued
Del Rio
Denison
Demon
De Soto
Donna
Dumas
Duncanville ...
Eagle Pass
Edinburg
El Campo
El Paso
Ennis
Euless
Farmers Branch
Foresi Hill
Fort Worth
Freeport
Friendswtxxl
Gainesville
Galena Park
Galveston
Garland
Georgetown
Grand Prairie
Grapevine
Greenville
Groves
Haltom City
Harlingen
Henderson
Hereford
Houston
Humble
Huntsville
Hurst
Irving
Jacinto City
Jacksonville
Katy
Kerrville
Kilgore
Killeen
Kingsville
Lake Jackson
La Marque
Lamesa
Lancaster
La Porte
Laredo
League City
Leon Valley
Levelland
Lewisville
Lockhart
Longview
Lubbock
Lufkin
MansHeld
Marshall
34,923
24.798
55,514
25,603
12,459
13,083
35.305
26,056
31.762
10,970
494,954
13,546
29.357
29,599
14,814
432.305
12.389
23,701
14,241
10.104
60.596
177.642
15.328
96.495
21.125
24.808
16,545
33,654
55,333
12,037
14,925
1.739,999
12,298
33.644
35.375
129.354
11.201
12,973
10,688
20,018
12,289
59,942
28.783
20,873
15,700
11.866
20.561
25,191
117.811
25,251
11.986
14,865
27,807
10,165
74,344
187,596
32,286
12.731
24.365
1.962
2.636
6.438
2,016
584
317
2.206
1.205
1.740
683
42.078
928
2.470
2.317
1.131
77.563
917
591
930
222
7.163
10.917
693
8.733
1.426
2.992
741
3.576
4,164
950
1.176
163.428
2,121
1,980
3,047
13,939
429
793
247
866
1,156
5.277
2,230
777
895
841
1,624
893
8,767
855
955
569
4,007
340
5,422
18,594
2,459
1.140
1,239
1.967
2.669
6,438
2,022
586
317
2,230
1,205
1.761
683
42.219
929
2.483
2.327
1.143
77.997
923
597
940
229
7.202
10.991
694
8.736
1,427
2,994
743
3,585
4.173
952
1,180
165.181
2,129
1,981
3,051
14,006
430
795
248
868
1,156
5,344
2.240
779
895
842
1,647
910
8,815
879
957
579
4.038
343
5,443
18,656
2,461
1,140
1,252
4
3
1
135
3
5
1
1
323
1
4
14
5
2
2
2
219
1
17
4
11
476
22
2
5
1,172
3
11
6
86
15
1
46
130
20
4
44
49
35
5
1
47
2
24
2
969
6
44
52
57
3.270
17
I
7
4
331
214
10
214
13
58
10
46
48
10
9,692
38
31
64
250
5
10
3
7
17
126
23
7
18
2
32
10
121
II
3
90
359
225
247
1
32
1
26
32
53
29
3.119
6
151
52
32
3,810
22
25
1
2
364
225
34
430
33
569
15
37
88
52
228
7.784
40
131
81
386
17
35
9
87
97
114
68
7
13
40
17
43
415
9
13
22
42
19
105
594
186
45
106
453
611
1,511
608
263
50
643
201
535
159
10.459
267
572
566
356
20.567
228
174
277
53
1.876
3,357
142
1,942
286
650
237
955
1,000
240
159
44,601
321
383
505
2,913
84
186
70
195
292
1,499
749
115
263
233
556
261
1,903
257
179
114
1.061
106
1,416
5,891
462
303
272
1,308
1,594
4.307
1.146
227
260
1,284
924
1.020
470
24.594
564
1,464
1.452
556
38,492
586
344
525
146
3,986
6,287
480
5,029
980
1.585
446
2,141
2,804
614
732
71.206
1,412
1.334
2.100
8.786
282
523
138
533
661
3,260
1,333
620
533
554
861
496
5,718
500
682
403
2,534
210
3,464
10.783
1,649
704
771
87
158
299
207
55
5
200
43
105
19
2,693
80
219
191
118
10,813
55
46
102
14
522
715
25
1,071
108
113
33
372
217
33
43
28,650
307
89
287
1,504
41
37
26
39
79
216
45
27
58
12
156
73
591
71
77
20
320
3
295
813
110
79
55
103
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Population
Cnme
Index
Modified*
Cnme
Indei
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Lareeny-
Iheft
Motor
vehicle
theft
TEXAS— Continued
McAIIen
McKinney .-.
Mercedes
Mesquite
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
Raymondville
Richardson
Richland Hills
Richmond
Robstown
Rockwall
Rosenberg
Round Rock
Rowlelt
San Angelo
San Antonio
San Benito
San Juan
San Marcos
Seguin
Sherman
Snyder
South Houston
Stephenvllle
Sugar Land
Sulphur Springs
Sweetwater
Taylor
Temple
Terrell
Texarkana
Texas City
The Colony
Tyler
Universal City
University Park
83.834
20,702
13,999
89,269
98,689
15,609
31,430
32,225
11,896
28,532
16,837
28,099
44,242
101,859
24,355
19,565
21,698
26,378
118,807
17,129
13,305
26,086
22,685
111,742
62,760
12,530
12,037
14.080
10,195
78,551
10,054
16,878
13,305
10,698
22,433
22,081
12,178
86,813
920,215
21,809
11,171
28,874
20,591
31,732
13,979
14,543
12,872
21,980
14,492
12,550
11,715
46,879
14,563
33,342
42,521
27,656
75,924
12.741
24.848
8.682
1.549
688
10,787
4,807
990
1,491
1,615
706
1,527
887
1,976
2,865
10,229
2,693
1,657
1,412
3,256
8,558
997
597
2.230
1.752
6.240
5.073
499
579
479
348
5.020
532
550
776
555
2.086
1.514
678
5.174
118.948
1.256
490
2.001
2.033
4.373
271
874
801
329
671
620
715
3,766
1,015
3,756
3,690
1.039
9,947
805
1.107
8.710
1,549
688
10,815
4,828
990
1.493
1,634
715
1,536
888
1,981
2,879
10,286
2.715
1.665
1.416
3.277
8.673
1.001
599
2.246
1.764
6,268
5,111
499
580
480
5,044
533
557
777
555
2,139
1,518
680
5,174
119.812
1.257
493
2.017
2.047
4.382
272
875
805
333
682
622
724
3.786
1.016
3.791
3.731
1.039
9.993
812
1. 118
174
I
15
17
27
4
4
4
I
II
I
5
2
5
19
27
4
16
849
15
2
28
84
27
10
188
97
5
14
27
17
39
12
25
66
103
89
19
7
31
133
5
9
17
II
76
206
3
5
5
3
73
38
11
5
33
3.253
14
3
45
17
81
2
22
3
2
13
7
16
83
37
72
92
6
149
9
30
293
67
52
365
305
24
68
54
27
144
13
183
72
386
113
130
162
348
563
33
54
128
102
57
285
11
29
7
26
72
6
42
38
17
180
66
13
288
1.816
48
11
125
129
103
13
20
13
5
35
87
32
72
54
164
145
13
340
28
6
1.757
390
235
2.386
1,726
337
377
627
206
355
151
568
757
2,895
829
402
358
631
1.895
237
175
599
393
1.572
1.673
138
143
98
160
1.182
142
205
296
152
444
306
250
1.252
33.041
379
112
381
628
970
29
174
204
83
170
107
212
786
213
1.076
1,047
304
2,592
184
183
5,770
946
355
6,638
2,346
541
941
746
424
892
670
1,105
1,637
6,433
1,576
1,020
831
2,060
4,987
610
347
1,341
1,180
4,145
2,656
326
383
346
147
3,356
319
262
415
307
1,331
1,051
368
3,444
66,198
743
336
1,316
1,177
2.966
198
480
553
210
384
387
434
2,595
640
2.271
2.179
679
6.337
536
829
750
100
31
1.175
287
81
87
151
30
80
36
93
314
364
62
64
44
159
930
108
9
137
48
373
217
17
15
18
11
323
55
24
19
64
72
53
38
133
13,617
56
26
105
72
244
21
175
26
24
61
30
19
172
63
147
210
36
460
47
58
104
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by Slalc
Population
Crime
Index
total
Modined*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continued
Uvalde
Vernon
Victoria
Vidor
Village
Waco
Watauga
Waxahachic
Wealherford
Weslaco
West Untversity Place
White Settlement
Wichita Falls
UTAH
American Fork
Bountiful
Brigham City
Cedar City
Centenille
Cleaifield
Kaysville
Layton
Logan
Midvale
Murray
North Ogden
Ogden
Orem
Pleasant Grove
Provo
Roy
Saint George
Salt Lake City
Sandy
South Ogden
South Salt Lake
Spanish Fork
Springville
T<x>ele
West Jordan
West Valley
VERMONT
Barre
Bennington
Brattleboro
Burlington
Colchester
Essex
Rutland
South Burlington
Springfield
VIRGINIA
Alexandria
Alexandna State Police
Arlington
Arlington State Police
Blacksburg
16,757
13,426
57,003
12,329
21,286
105.895
20.340
18,347
17,351
24.567
13,426
18,005
100,581
15,405
34,815
16,293
12.489
10,835
22,870
12,479
35,591
29,135
11,491
23,939
10,754
68,086
62,134
17,201
78,164
23,707
19.975
159,839
68,025
12,348
12.449
11,006
13,417
15,899
44,832
91,571
109,985
161,917
30,996
558
605
4,784
543
279
12.223
746
1.525
1.160
1.982
562
1,151
8.983
693
1.178
583
342
372
843
500
1.891
1,355
1,149
3,251
203
6,649
2.912
450
3.428
1.089
1.242
20.873
2,720
712
1,930
591
533
599
1,699
5,513
10,198
326
16,640
715
12,609
1.001
38,799
4.475
14.776
604
15.617
813
18.311
1.273
11,566
1,231
10.107
337
7,427
10
8,684
17
1.355
559
616
4,799
545
283
12.259
748
1.539
1.164
1.986
562
1.154
9.099
695
1.180
589
342
372
853
500
1.906
1.355
1.150
3.255
203
6,649
2,912
451
3,428
1,092
1,243
20.979
2.725
712
1.935
591
533
601
1.699
5.555
7.479
10
8.779
17
1.365
25
67
2
1
7
1
1
5
2
2
28
7
14
57
1
1
264
11
25
9
9
6
17
265
92
4
2
13
5
5
482
13
1
17
I
I
419
360
1
2
53
64
355
24
3
606
28
59
46
77
2
19
305
38
39
9
17
30
22
33
28
16
50
16
129
90
12
138
77
18
501
89
29
21
3
6
12
1
113
211
4
296
110
158
1.265
147
78
3.646
207
392
274
512
155
201
2,533
86
218
67
53
101
100
76
279
115
200
449
10
1,052
306
96
633
114
141
3,997
598
195
354
82
80
138
265
886
1,308
1.417
198
359
345
2.935
341
167
7.150
444
904
758
1.301
330
808
5.325
570
869
457
256
239
672
384
1,517
1,163
850
2,620
173
5,053
2,418
308
2.529
869
1,015
14,863
1,927
457
1,411
486
432
421
1,379
4,171
16
58
231
19
140
521
24
175
752
25
1,079
3,146
6
194
381
12
186
566
34
298
832
8
156
1,034
15
61
246
4,300
5
5.449
6
1.071
27
21
150
29
30
465
54
137
67
82
67
104
471
27
39
16
17
15
33
18
45
42
58
99
4
268
84
28
105
22
58
923
79
24
115
18
10
25
49
272
16
29
42
182
19
42
91
29
11
1,138
1
1,114
2
40
105
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Population
Crime
Index
total
ModiHed'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robber7
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
VIRGINIA— Continued
Binstol
Biistol State Police
Charlottesville
Chesapeake
Chesapeake State Police..
Christiansburg
Colonial Heights
Colonial Heights State Police.
Danville
Fairfax City
Fairfax City State Police
Fredericksburg
Fredericksburg State Police .
Front Royal
Hampton
Hampton State Police
Harrisonburg
Harrisonburg State Police..
Herndon
Hopewell
Leesburg
Lynchburg
Lynchburg State Police
Manassas
Martinsville
Newport News
Newport News State Police..
Norfolk
Norfolk State Police
Petersburg
Petersburg State Police...
Poquoson
Portsmouth
Portsmouth State Police .
Radford
Radford State Police
Richmond
Richmond State Police
Roanoke
Roanoke State Police...
Salem
Salem State Police .
Staunton
Suffolk
Vienna
Virginia Beach
Virginia Beach State Police.
Waynesboro
Williamsburg
Williamsburg State Police
Winchester
Winchester State Police
WASHINGTON
Aberdeen ...
Anacortes ...
Auburn
Bellevue
Bellingham..
18.365
41.933
137.124
12,417
17,039
45.606
20,303
19.895
12.345
128,554
27,547
17.120
24.589
11.029
69,378
20.507
19.079
164,978
280,370
40,607
10.305
113,250
13,978
222,113
103,966
24,180
21.936
52,340
17,508
340,158
18,467
11,631
21,630
17.115
10.139
30.365
82.309
45.721
757
3
3,071
6,597
11
531
468
2
1,644
1,327
1
1.134
19
592
7,491
4
1,190
2
588
1,089
404
3.460
4
869
1.181
7.912
6
20.732
43
3,121
31
169
7,890
8
135
1
18,564
41
7,594
7
912
1
774
2,472
613
18,703
30
668
606
1
1,348
3
1,889
501
3.122
5.091
3,876
762
3
3.097
6.671
11
534
468
2
1.660
1.338
1
1.135
19
601
7.548
4
1.193
2
590
1.121
404
4
869
1.186
7.969
6
20,956
43
3,138
31
170
8.072
8
135
1
18.685
41
7.665
7
915
1
782
2,485
619
18,855
30
680
607
1
1,353
3
1.900
503
3.153
5.133
3.915
29
10
73
181
27
182
1
28
6
21
2
124
1
3
10
72
202
30
3
199
243
1,007
I
158
1
332
1,083
1
182
6
78
10
322
1
5
19
1
14
19
26
1
155
299
3
18
9
1
34
36
5
20
172
56
7
262
419
902
13
201
29
32
380
6
1.271
206
3
38
214
5
261
8
25
10
154
565
1.781
2
107
57
278
151
140
6
124
1,235
208
98
271
38
488
133
258
1,765
4.645
1
712
28
1.783
4.143
5
1,764
125
176
669
108
4,045
1
97
63
527
2
2.102
3,970
5
373
369
1
1,262
1,045
I
838
6
397
5,507
3
926
1
445
704
334
2,494
4
638
752
4,928
4
12.713
21
1,893
2
103
4,876
2
98
1
9.969
24
5,167
3
716
1
525
1,370
442
13,181
17
503
493
169
395
73
817
1.066
713
1,076
2
1.376
389
1.916
3.647
2.834
36
148
306
1
28
3
23
47
16
100
11
79
1
2
40
9
326
57
29
1
3
30
2
27
32
19
126
79
55
5
468
57
2
1.234
224
7
124
17
5
1
410
182
20
1.838
121
2
231
1
53
21
109
46
759
2
32
21
48
58
22
261
230
213
106
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by State
Population
Cnmc
Index
lolal
Modified*
Crime
IndcK
total
Murder
and non-
negllgenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
WASHINGTON— Continued
Bremerton
Des Moines
Edmonds
Ellensburg
Everett
Kelso
Kennewick
Kent
Kirk land
Lacey
Longview
Lynnwood
Mercer Island
Mountlake Terrace
Oak Harbor
Olympia
Port Angeles
Pullman
Puyallup
Redmond
Renton
Richland
Seattle
Spokane
Tacoma
Vancouver
Walla Walla
Wenatchee
Yakima..
WEST VIRGINIA
Beckley
Bluefield
Charleston
Clarksburg
Fairmont
Huntington
Martinsburg
Morgantown
Moundsville
Parkersburg
Saint Albans
South Charleston
Vienna
Weirton
Wheeling
WISCONSIN
Appleton
Ashwaubenon
Beaver Dam
Beloit
BrookHeld
Brown Deer
Caledonia
Chippewa Falls
Cudahy
Eau Claire
Fitchburg
34,677
13.922
28.921
11,430
61.402
10.871
40,117
29.40")
19.667
15.894
29.633
24.813
20.959
15,996
13,403
30,213
17,857
23,552
19,789
29,419
34,992
33,131
494,426
175,815
161,639
44,673
25,687
18,589
50,205
19,338
14,236
57,262
19,733
22.007
58.627
13.060
26.535
11.458
38.102
11.874
14.820
11,241
23,361
39.358
64.346
15.411
13.793
33,916
33.544
12,528
21,650
12,899
19,058
54,842
14.336
2,499
844
1.289
784
6.139
947
3.560
3.071
1,176
1,266
2,384
2,688
572
1,322
577
2,109
1,420
571
1,367
1,580
4.232
1.513
72.937
15,824
23.674
3.653
2.674
2.109
7.522
685
421
6,046
619
1.006
3,953
1.086
1.216
448
1.698
485
364
377
306
1,031
2,973
1,016
488
3,164
1,146
542
448
490
905
2,791
488
2,518
852
1.295
794
6.171
955
3,578
3,118
1,178
1,268
2,409
2,710
574
1,328
589
2,118
1,429
574
1,379
1,583
4,251
1,523
73,369
15,917
23,857
3,676
2,684
2,121
7,559
687
421
6,102
623
1,012
4,028
1.092
1.242
448
1.719
489
364
377
312
1,042
2.984
488
3.181
1,150
543
460
492
930
2,823
489
11
13
1
7
2
9
2
9
10
4
27
17
465
71
240
50
15
15
31
16
44
16
11
3
90
6
17
34
15
4
37
45
1
10
1
13
7
1
16
12
56
11
2,959
452
781
85
19
36
178
6
7
130
12
14
97
17
9
16
65
103
20
17
35
93
19
59
46
9
24
67
46
9
14
6
36
19
5
19
14
77
9
3,618
556
1,336
148
189
41
245
2
5
208
16
19
176
6
21
9
32
5
9
5
48
46
28
5
371
9
2
7
4
65
40
30
418
267
281
141
1,552
240
985
637
267
215
713
483
184
289
86
376
377
126
231
282
875
362
17,254
4,715
6.561
971
643
453
1.978
89
124
1.341
97
287
1,021
284
188
86
458
122
49
29
98
378
571
111
30
503
181
77
113
77
197
470
74
1,744
470
942
577
3,863
637
2.366
2.075
824
974
1.451
1.966
364
917
467
1.601
968
405
1,034
1,211
2,858
1,073
43,586
9,313
13,548
2,154
1,732
1,478
4,811
569
267
3,983
453
649
2,378
714
911
338
1,098
330
272
341
166
439
2,262
848
444
2,131
879
438
292
383
597
2,180
355
131
61
33
25
485
37
114
265
53
35
105
135
13
85
15
74
47
24
56
57
337
41
5,001
701
1,184
242
74
83
276
17
18
311
36
32
232
58
68
15
79
24
28
6
26
94
67
29
9
91
65
21
34
22
31
78
23
107
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
City by State
Population
Cnme
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny -
ihefl
Motor
vehicle
theft
Arson*
WISCONSIN— Continued
36,699
10,187
19,731
12,035
13,964
93,902
16,365
32,037
52,029
12,317
75,306
47.870
176.642
32.218
11.985
19.931
14.818
13.472
26.843
13.201
16.747
10.227
13.472
607.885
10,619
20,364
16.044
23.518
31.043
18,103
10.227
11.021
51.426
12,307
82.821
47.629
14.396
20.384
22,353
14,316
13,241
19,318
53.014
32.389
54.235
22.795
11.111
14.336
11,704
19.138
45.697
52.120
11.668
22,486
14,382
24,080
10,315
2.099
507
445
453
1,097
5,321
602
1,592
3,024
351
5.091
2.884
11.960
1.822
677
890
752
399
836
880
258
547
340
50,398
415
493
233
978
748
812
274
435
3.057
397
6.803
2.672
484
790
1.645
559
530
536
1.227
2.020
2.887
1.048
417
391
409
1.030
2.954
2.750
546
882
559
1.184
551
2.105
508
447
454
1,097
5,369
602
1,592
3,054
352
5.150
2.887
12.015
1.830
684
895
753
409
837
889
259
547
340
50.670
421
497
233
991
759
819
278
435
3.066
405
6.848
2.698
484
805
1,651
563
530
538
1,233
2,035
1,053
422
391
411
1.037
2.982
2.758
547
892
560
1.185
551
3
2
3
2
29
5
1
9
4
3
25
27
2
12
17
2
92
6
185
2
3
2
2
3
2
5
3
1.984
1
16
4
2
2
1
23
4
228
10
26
12
4
2
1
2
9
14
34
3
5
4
4
21
18
4
3
3
2
7
38
9
4
3
3
141
4
71
76
43
66
29
138
24
10
3
4
10
11
2
2
1
2
3,495
6
16
1
20
20
18
17
9
57
14
373
64
6
71
36
15
1
33
70
110
10
8
4
3
68
182
46
75
49
38
21
23
313
62
101
69
92
868
18
236
684
62
1,246
252
2.370
349
55
118
176
102
173
82
78
69
60
9.964
81
130
63
124
196
143
28
53
424
56
1.514
433
141
150
244
69
89
60
177
429
708
57
88
55
72
184
812
313
74
105
55
100
141
1.700
424
311
374
872
4.077
555
1,159
2,116
235
3,356
2,478
8,574
1.399
579
748
562
270
616
745
173
467
266
28,680
315
297
153
806
503
615
222
365
2,463
309
4,140
2,082
283
533
1,330
455
419
466
936
1,461
1,922
961
305
320
316
747
1,830
2,274
364
688
445
1,003
370
41
9
26
3
103
176
18
112
122
9
292
106
639
43
19
15
8
14
33
42
4
8
8
5.746
12
33
6
24
27
30
6
4
71
12
349
80
28
22
29
18
17
7
65
44
113
16
15
5
13
27
91
83
27
28
18
49
7
6
3
1
1
2
Germantown
1
48
30
1
2
3
6
1
1
37
10
48
5
59
La Crosse
3
55
g
7
Marshfield
3
5
1
10
Menomonee Falls
1
3
2
1
437
1
3
4
17
2
95
3
1
Menomonie
1
1
92
9
1
Merrill
272
6
4
1
13
New Berlin
11
Oak Creek
7
4
Oshkosh
Pleasant Prairie
2
9
8
4
45
26
2
2
IS
6
4
3
1
1
1
2
2
6
2
1
1
1
17
14
2
9
6
15
West Allis
West Bend
5
5
Whitefish Bay
2
7
WYOMING
Casper
28
8
Evanslon
1
Gillette
10
Green River
1
Laramie
9
3
2
Rawlins
108
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1987 — Continued
Cily by Slitc
Population
Cnme
Index
total
Modifin)'
Crime
Index
total
Murder
and non-
negtlgenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
WYOMING— Continued
Rock Springs
21.221
15,503
1,331
566
1,342
570
1
18
3
7
1
111
4
163
66
995
467
36
25
11
4
'Forcible rape figures furnished by the stale-level Uniform Cnme Reporting (VCR) 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, Cnme Index total, and Modified Cnme Index total categories
109
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987
• 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
Robt>ery
Aggra-
vated
assault
Property
cnme
total
Property Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Auburn University:
Main Campus
Montgomery
Jacksonville State Univei^ily
University of Alabama. Tuscaloosa
ARIZONA
Atnzona State University
Arizona Western College
Noilhern Arizona University
Ptma Community College
University of Anzona
Yavapai College
ARKANSAS
University of Arkansas:
Fayetteville
Little Rock
Medical Science
CALIFORNIA
Cabrillo College
California Slate College:
Bakersfield
San Bernardino
Stanislaus
California State Polytechnic University
Pomona
San Luis Obispo
California State University:
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northridge
Sacramento
College of Mann
College of the Sequoias
Contra Costa Community College
Foothill-Deanza Community College
Humboldt Slate University
Merced College
San Diego State University
San Francisco State University
San Jose City College
San Jose State University
Sonoma State University
University of California:
Berkeley
Davis
Irvine
Lawrence Berkeley Laboratory
Lawrence Livermore Laboratory
Los Angeles
Riverside
Sacramento
San Diego
San Francisco
Santa Barbara
Santa Cruz
West Valley College
Yosemite Community College
523
44
116
591
1.284
35
603
108
1.174
34
381
126
124
46
48
II
107
307
488
447
94
475
256
119
409
615
306
443
116
71
229
274
236
114
1.375
600
77
498
100
1.671
1.208
629
38
75
1.638
217
262
936
499
816
427
126
91
100
13
10
38
41
27
74
II
7
53
81
10
45
16
4
33
9
4
15
47
41
51
14
193
64
57
1
3
355
22
20
83
35
60
70
30
460
40
108
541
60
1.183
10
24
47
538
6
99
216
919
5
29
271
113
123
34
42
83
106
249
438
393
56
374
227
108
317
415
261
345
97
67
188
261
229
98
1.211
520
76
426
85
1.401
1.101
552
36
72
1.082
181
235
776
452
744
349
126
60
12
2
41
1
18
3
39
10
1
4
1
48
12
13
II
27
18
4
39
119
35
53
3
4
3
1
117
39
1
21
1
77
43
20
1
201
14
7
77
12
12
110
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987 — Continued
Universily/Collesc
Student
enroll-
ment'
Violent
crime
total
Violent Crime
Murder
and non-
iie^ligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Properly'
crime
total
Property Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
COLORADO
Adams Slaic College
Arapahoe Community College
Aurana Higher Education Center.
Colorado Stale Univei^ity
Red RcKks Community College
University of Colorado:
Boulder
Colorado Springs
Medical Center
University of Denver
University of Northern Colorado..
University of Southern Colorado...
CONNECTICUT
Central Connecticut State University
Eastern Connecticut State University
University of Connecticut:
Avery Point
Health Center
Main Campus
Western Connecticut State University.
Yale University
FLORIDA
Florida A & M University
Florida Atlantic University
Florida International University .
Flonda State University:
Panama
Tallahassee
University of Central Florida
University of Florida
University of North Florida
University of South Florida:
Saint Petersburg
Sarasota
Tampa
University of West Florida
GEORGIA
Albany State College
Cherokee College
Georgia Institute of Technology..
Georgia Southern College
Georgia State University
Georgia Southwestern College
Medical College of Georgia
South Georgia College
Valdosta State College
West Georgia College
ILLINOIS'
Chicago State University
College of DuPage
Eastern Illinois University
Governors Slate University
Illinois State University
Joilet Junior College
Lake County College
Northeastern Illinois Stale University .
Northern Illinois University
Southern Illinois University:
Carbondale
30
120
65
.1«6
780
17
1,029
30
280
217
429
63
103
127
17
155
519
89
1.069
176
147
1
882
193
1,211
129
31
41
709
56
17
2
808
323
315
52
221
7
113
237
51
95
269
35
633
61
100
93
465
893
5
1
13
133
203
4
11
19
72
10
4
13
9
7
141
16
342
119
66
5
2
2
69
72
113
64
359
632
17
799
26
268
187
347
53
99
109
148
368
73
714
150
113
230
1
804
177
1,090
119
25
36
627
50
12
2
659
255
302
49
218
7
103
168
1
39
8
86
24
240
1
34
140
487
60
5
95
2
91
94
360
805
14
15
27
1
11
10
10
13
5
30
53
22
2
52
4
1
23
1
30
2
11
16
See footnote at end of table.
Ill
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987 — Continued
Universily/College
Studeni
enroll-
ment'
Violent'
cnme
total
Violent Cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
cnme
total
Property Cnme
Burglary
Larceny-
theft
Motor
vehicle
theft
ILLINOIS*— Continued
Edwardsvjlle
Thomlon Community College
Triton College
University of Illinois:
Chicago
Urbana
Western Illinois University
William Rainey Harper College
INDIANA
Indiana University:
Bloomington.....
Gary
Indianapolis
New Albany
IOWA
Iowa State University
University of Iowa
University of Northern Iowa
KANSAS
Emporia State University
Fort Hays State University
Kansas State University,
Manhattan
University of Kansas:
Lawrence
Medical Center
Pittsburg State University
Wichita State University
KENTUCKY
Morehead State University
Murray State University
Northern Kentucky University
University of Kentuclcy
University of Louisville
Western Kentucky University
LOUISIANA
Louisiana State University,
Baton Rouge
McNeese State University
Northeast Louisiana University
MAINE
University of Maine, Orono
University of Southern Maine
MARYLAND
Bowie State College
Coppin State College
Frostburg State College
Morgan State University
Saint Mary's College
Salisbury State College
Towson State University
University of Baltimore...
189
86
161
780
931
451
48
1,442
82
671
28
919
811
193
143
67
619
666
300
83
288
131
188
61
771
619
264
1,019
125
266
439
186
72
45
96
162
31
188
463
140
31
153
2
75
1
159
16
724
70
821
24
423
1
46
228
I
23
2
210
158
10
44
13
133
154
4
21
16
180
II
1,194
73
619
26
696
639
182
98
54
479
496
285
60
261
93
155
54
717
553
258
801
125
255
421
150
45
36
84
94
24
185
376
140
5
9
I
40
40
4
I
20
8
29
13
14
1
16
II
2
II
38
Sec footnote at end of table.
112
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987 — Continued
Univcrsily/CoUcge
Student
enroll-
ment'
cnme
total
Violent Cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
cnme
total
Property Crime
Burglary
Larceny-
then
Motor
vehicle
theft
MARYLAND— Continued
University of Mar>'land:
Baltimore City
Baltimore County
College Park
Eastern Shore
MASSACHUSETTS
North Adams State College
MICHIGAN
Centi^l Michigan University
Delta College
Eastern Michigan University
Ferns State College
Grand Valley State College
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University
Northern Michigan University
Oakland University
Saginaw Valley State College
University of Michigan, Flint
Western Michigan University
MINNESOTA
University of Minnesota
MISSISSIPPI
Mississippi State University
University of Mississippi
MISSOURI
University of Missouri:
Columbia
Saint Louis
Washington University
MONTANA
Montana State University....
NEBRASKA
University of Nebraska. Lincoln .
NEVADA
University of Nevada, Reno
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Glassboro State College
Kean College
Middlesex County College
Monmouth College
Montclair State College
New Jersey Institute of Technology..
Rutgers University:
Camden
18
16
566
228
1.301
46
59
539
98
479
436
103
197
152
195
2.253
96
334
163
134
98
798
1,499
327
278
899
153
219
197
969
189
73
31
31
204
183
55
126
289
126
132
13
34
256
6
24
27
7
25
12
10
17
2
9
471
4
19
16
II
5
26
78
101
6
139
90
16
547
188
1,012
40
34
511
91
442
417
92
178
149
172
1,725
92
315
146
119
90
754
1,413
297
248
793
141
209
191
822
94
73
IS
22
147
145
53
108
197
100
HI
6
6
33
12
7
1
2
1
14
57
1
4
3
18
5
12
4
9
3
23
2
42
15
113
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987 — Continued
Uni versi t y /Col lege
Student
enroll-
ment'
Violent-
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Properly'
crime
total
Properly Cnme
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Newark
New Brunswick
Stockton Slate College
Trenton State College
University of Medicine and Dentistry:
Camden
Newark
Piscalaway
William Paterson College
NEW MEXICO
Eastern New Mexico University
New Mexico State University
University of New Mexico
Western New Mexico University
NEW YORK
Cornell University
State University of New York:
Albany
Amherst
Binghamton
Buffalo
Downstate Medical Center
Maritime College
Stony Brook
Upstate Medical Center
State University of New York
Agricultural and Technical College:
Alfred
Canton
Cobleskill
Delhi
Farmingdale
Morrisville
Stale University of New York College:
Brockpwrt
Buffalo
Cortland
Environmental Science and Forestry.
Fredonia
Geneseo
New Paltz
Old Westbury
Oneonta
Optometry
Oswego
Plattsburgh
Potsdam
Purchase
Utica-Rome
NORTH CAROLINA
Appalachian State University
East Carolina University
North Carolina Slate University, Raleigh
University of North Carolina:
Chapel Hill
Charlotte
Wilmington
Western Carolina University
NORTH DAKOTA
University of North Dakota
15
23
6
239
2
658
6
165
3
249
11
30
499
2
83
162
164
394
721
45
773
315
517
358
335
261
51
933
269
11
112
81
121
204
131
274
365
234
11
151
288
120
62
179
9
287
139
130
129
16
4
166
11
474
25
1,170
30
684
8
330
9
291
146
7
184
31
607
28
135
25
213
3
8
7
421
5
76
5
144
157
139
347
642
42
87
225
84
422
81
276
61
258
3
258
23
27
242
684
2
267
16
102
112
26
55
23
98
60
137
34
97
46
225
71
294
6
228
3
8
17
134
29
258
3
117
5
57
20
159
9
14
270
7
132
I
129
10
117
16
3
163
138
328
196
949
57
615
69
258
24
261
1
145
48
20
2
11
71
2
13
4
7
29
1
3
11
1
16
25
12
3
6
378
114
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987 — Continued
Univcreily/College
Student
enroll-
ment'
Violent-
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Properly'
crime
total
Property Cnme
Burglary
Larceny-
Ihcft
Motor
vehicle
theft
OHIO
Bowling Gr«n University
Cleveland State University
Cuyahoga Community College
Kent State University
Lakeland Community College
Miami University
Ohio Stale Univei^ity
University of Akron
University of Cincinnati
University of Toledo
Youngstovin State University
OKLAHOMA
Central Slate University
Northeastern Oklahoma State University
Oklahoma State University
Putnam City Campus
Tulsa Junior College...
University of Oklahoma:
Health Science Center
Norman
OREGON
Oregon State University
PENNSYLVANIA
Bloomsburg University
California University
Cheyney University
Clarion University
East Stroudsburg University
Edinboro University
Indiana University .-
Kutztown University
Lehigh University
Lock Haven University -
Mansfield University
Millersville University
Moravian College -
Pennsylvania State University:
Altoona Campus
Behrend College
Capital Campus
McKeesport
University Park
Slippery Rock University
University of Pittsburgh, Bradford
RHODE ISLAND
University of Rhode Island
SOUTH CAROLINA
Clemson University
Medical University of South Carolina
University of South Carolina:
Columbia
Spartanburg
TENNESSEE
Austin Peay State University
East Tennessee State University
23
694
304
192
626
77
529
1,865
724
1,200
513
311
165
80
546
125
76
76
852
488
120
81
58
126
120
199
223
165
201
65
42
83
39
55
73
44
18
1,075
175
27
225
553
410
863
9
147
187
150
534
6
235
51
130
14
605
77
10
518
381
1,474
164
552
247
947
48
452
25
275
19
136
27
43
139
391
40
80
18
58
I
69
220
597
89
108
5
3
33
395
11
64
47
119
108
181
182
162
141
63
40
79
37
55
64
44
18
963
166
23
186
492
397
757
71
173
10
63
II
7
1
10
8
6
13
II
10
10
16
5
6
35
32
115
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1987 — Continued
Universily/College
Student
enroll-
ment
Violent-
cnme
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Propeny'
enme
total
Property Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
TENNESSEE— Continued
Middle Tennessee State University
University of Tennessee:
Martin
Memphis
TEXAS
Angelo State University
Baylor University
Easlfteld College
East Texas State University
Lamar University
McLennan Community College
Midwestern Slate University
North Harris County College
North Texas State University
Pan American University
Richland College
Southern Methodist University
South Plains College
Southwestern University
Southwest Texas Slate University
Stephen F. Austin State University
Sul Ross State University
Texas A & M University:
College Station
Galveston
Texas Arts & Industries
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas State Technical Institute:
Amarillo
Waco
Texas Tech. Health Science Center
Texas Tech. University
Texas Woman's University
University of Houston:
Central Campus
Clear Lake
Downtown Campus
University of Texas:
Arlington
Austin
Dallas
El Paso
Galveston
Houston
Permian Basin
San Antonio
Health Science Center, San Antonio
University of Texas Southwest
Medical School
UTAH
Salt Lake Community College
University of Utah
Utah State University
Utah Valley Community College
Weber State College
VIRGINIA
Christopher Newport College
College of William & Mary
George Mason University
James Madison University
Longwood College
Mary Washington College
270
137
155
101
374
80
162
415
3
38
91
534
107
95
332
32
28
870
357
45
925
60
193
115
56
199
92
387
161
737
46
731
29
94
335
859
69
190
175
382
3
168
72
208
51
660
275
54
163
33
128
356
181
111
82
14
38
28
1
15
23
44
16
2
65
7
9
153
45
19
61
25
143
6
159
5
24
251
115
144
97
295
80
122
381
2
43
50
477
86
87
243
25
18
701
301
26
809
57
126
69
52
117
65
230
154
565
40
669
29
89
283
783
61
139
169
358
3
162
59
201
37
585
242
52
149
33
116
338
178
109
80
21
18
13
5
6
24
I
16
11
28
4
21
2
14
1
13
1
38
2
21
32
1
22
5
16
116
Table 7. — Number of Offenses Known to the Police, Liniversities and Colleges, 1987 — Continued
University/College
Student
enroll-
ment'
Violent'
cntnc
total
Violent Cntne
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Properly'
crime
total
Property Crime
Burglary
Larceny-
Ihefl
Motor
vehicle
theft
VIRGINIA— Continued
Old Doininion University
Radford University
Thomas Nelson Community College...
University of Richmond
University of Virginia
Virginia Commonwealth University
Virginia Polytechnic Institute and
State University
WASHINGTON
Central Washington University
University of Washington
Washington State University
WEST VIRGINIA
Concord College
Glenville State College
Marshall Untverstty
West Liberty Stale College
West Virginia Institute of Technology
West Virginia Slate College
West Virginia University
WISCONSIN
University of Wisconsin:
Eau Claire
Green Bay
Madison
Milwaukee
Oshkosh
Parkside
Whitewater
WYOMING
University of Wyoming
403
111
18
173
557
663
575
282
1.256
574
34
2
183
49
8
45
385
265
32
1,061
432
243
63
162
314
45
281
112
371
110
17
160
522
651
529
232
923
444
32
2
167
47
5
43
362
261
31
938
396
241
60
151
306
21
1
1
'Student enrollment data had not been received at the time this publication was prepared.
■Violent cnmes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are ofTenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Forcible rape figures furnished to 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 and violent crime total categories.
NOTE: Caution should be exercised in making any inler-campus comparisons or ranking schools, as university/college crime statistics are affected by a variety of factors. These
include: demographic charactenstics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of
enrollment, etc.
117
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987
[The data shown in this table do not reflect county totals but are the number of offenses 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 State
Cnme
Index
total
Modified*
Clime
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
Madison
Mobile
Montgomery..
Russell
Saint Clair ....
Shelby
Tuscaloosa
Walker
ARIZONA
Maricopa
ARKANSAS
Crawford
Crittenden ...
Faulkner
Jefferson
Lonoke
Miller
Pulaski
Saline
Sebastian
Washington
CALIFORNIA
Alameda
Alameda Highway Patrol
Alameda State Police
Butte
Butte Highway Patrol
Butte State Police
Contra Costa
Contra Costa Highway Patrol..
Contra Costa State Police
El Dorado
El Dorado Highway Patrol
Fresno
Fresno Highway Patrol
Fresno State Police
Kern
Kern Highway Patrol
Kern State Police
Los Angeles
Los Angeles Highway Patrol..
Los Angeles State Police
Marin
Marin Highway Patrol
Merced
Merced Highway Patrol
Merced State Police
Monterey
Monterey Highway Patrol
Napa
Napa Highway Patrol
Orange
Orange Highway Patrol
145
1. 120
403
509
112
844
322
216
6.374
573
490
2,511
665
293
341
460
1,056
427
6,526
241
367
437
595
311
565
2,458
762
229
641
3,566
IIS
169
3,461
260
10
5,999
683
29
2,721
205
8,196
90
41
17,290
217
25
44,845
471
528
1,839
107
1,686
165
7
2,939
191
1,213
85
10,868
63
220
6.526
2.518
343
1,073
6,639
241
368
442
606
315
574
2,483
762
230
645
3,588
169
II
6,042
29
2,732
8,334
41
17,987
25
45,462
535
1,845
1,687
7
3,014
1,214
11,039
20
15
40
164
39
51
II
147
162
459
29
149
8
8
20
13
2
I
14
23
121
135
119
18
186
466
3,222
I
33
37
21
47
IS
160
12
101
1
72
1
77
35
IS
1,041
18
46
220
57
86
32
1
227
10
351
12
83
27
51
2
24
222
29
193
52
29
242
6
4
329
3
90
910
4
1
1,612
8,480
28
53
198
209
I
242
157
584
74
45
467
472
201
176
175
240
65
36
396
312
140
118
70
112
1,895
2.795
265
228
153
246
831
1,303
235
320
100
79
155
133
215
207
336
393
174
191
1,765
117
112
175
255
110
222
922
263
86
226
1,276
42
1,500
2
2,217
16
1,310
3,196
10
5,202
2
11,456
2
129
494
642
2
1,073
383
3,264
3,727
82
140
192
239
174
267
1,080
426
lis
320
1,685
85
1.627
20
3
3,266
84
II
1,262
37
3,251
25
28
8,846
89
22
13,814
17
233
1.081
23
782
6
5
1,537
21
640
4
5,883
II
56
24
15
6
32
22
13
431
51
27
108
32
16
19
17
70
41
503
25
15
35
32
17
44
159
56
14
57
256
63
9
19
234
1
2
596
2
23
168
481
61
2
962
128
1
7,250
423
78
16
84
IS8
6
170
6
81
904
55
118
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — 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*
CALIFORNIA— Continued
Orange State Police
Placer
Placer Highway Patrol
Riverside
Riverside Highway Patrol
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
Santa Barbara
Santa Barbara Highway Patrol ....
Santa Barbara State Police
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 State Police
Stanislaus
Stanislaus Highway Patrol
Stanislaus State Police
Sutter
Sutter Highway Patrol
Tulare
Tulare Highway Patrol
Ventura
Ventura Highway Patrol
Yolo
Yolo Highway Patrol
Yolo State Police
Yuba
Yuba Highway Patrol
COLORADO
Adams
Arapahoe
Boulder
Douglas
El Paso
Jefferson
Lanmer
Pueblo
Weld
DELAWARE
New Castle Police Department -
New Castle State Police
55
3..^44
177
29.817
118
36,314
468
734
21,443
225
82
24,944
159
90
6,713
543
48
3.563
19
4.527
333
1
3.166
209
32
3.477
341
2.889
53
19
844
81
5
4.410
460
60
5,083
375
8
1,461
44
5,717
329
1,990
43
1,825
222
7
2,851
144
4,715
3.632
1.318
1.010
2.931
6.046
1.400
683
1.275
7.004
5.771
55
3.361
29.936
36.536
736
21.572
86
25.191
91
6.802
48
3.570
4.590
3.179
33
3.513
2.898
19
857
5
4.472
60
5.216
1.464
6.056
2.021
1.846
7
2.866
4.778
3.675
1.355
1.029
2.962
6.077
1.404
688
1.296
7.068
5.783
43
21
139
229
2
155
146
78
62
16
130
27
27
577
1.127
12
442
653
1
147
69
79
112
116
35
54
29
100
41
5
66
203
1
588
3.695
4
1.882
I
30
3.463
3
1
2.002
7
2
330
3
385
2
379
I
194
4
202
373
1
4
136
1
317
2
582
2
180
698
295
4
204
826
9
1.040
9,639
7.742
142
7.601
25
8,343
19
2,657
6
754
966
756
9
1.445
939
5
345
1.588
22
2,080
539
1,822
653
648
2
874
42
1.652
9
12.452
6
21.735
54
527
7.572
17
55
10.126
27
58
3,525
64
38
2.022
3.071
84
1
2.017
2
17
1.728
49
1.408
23
10
316
15
4
2,302
132
32
2,215
8
8
680
3,022
21
811
14
882
50
4
1,103
227
1,251
2,712
68
1,039
2,324
61
449
718
20
304
649
138
872
1,681
45
1.624
4,011
32
372
919
63
177
388
88
392
689
168
3.262
108
3.569
413
21
2.152
205
1
3.631
125
10
479
1
324
17
38
248
90
207
2
7
292
107
29
31
328
4
21
365
308
168
25
7
172
1
304
174
1.890
619
4,076
4,335
144
364
149
51
27
165
279
74
24
84
533
409
119
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — 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*
FLORIDA
5.444
1,627
312
7,758
11,836
4,095
6,788
107,185
13,477
840
3,479
29,911
5,245
2.368
8,763
5,452
3.802
1,416
2.697
25,952
2,632
24,811
10,651
12,670
17,848
3.069
3.440
2,725
10.112
5,730
5,444
441
1,134
152
942
58
19
7.702
11.620
1.366
1,063
144
346
40,230
1,990
334
619
39
8.713
11.791
978
301
283
155
282
106
713
234
7.078
976
487
2.186
5.476
7.789
11,890
4,122
6,815
107,719
13,556
843
3,490
29,990
5.253
2.375
8.806
5.471
3.814
1.417
2.697
25.955
2.644
24,880
10,714
12.758
17,938
3.087
3.468
2.742
10.158
5.757
5.458
7.751
11.711
40,394
621
8.754
155
282
7,099
2.199
30
15
173
10
22
16
11
27
31
27
10
46
47
2
43
103
8
54
565
150
18
19
164
37
30
82
78
26
11
23
139
19
198
108
76
52
24
25
32
48
8
44
94
29
6
191
703
56
150
5.850
371
15
16
1,086
156
61
156
89
62
33
50
716
116
413
105
194
409
54
64
24
99
130
112
2
13
8
412
82
27
606
879
299
403
8.991
1.343
117
334
1,866
89
313
674
583
437
82
99
1,376
110
1.457
741
709
1,151
346
239
271
728
393
328
22
12
5
41
6
1
267
23
45
25
10
65
518
127
40
13
3
209
376
45
34
7
4
5
5
52
17
237
60
13
75
1,997
398
88
1,831
3,016
791
2.232
26.993
3.616
285
914
8.959
1,959
898
2,679
2,022
1,180
445
630
8,351
1,098
7,090
2,605
3,687
5,173
776
1,138
685
2,508
1.677
2.242
200
440
76
291
14
6
2,111
3,179
468
441
35
22
10,474
567
125
301
4
2,308
2,842
293
96
159
43
103
63
317
92
2,368
456
208
685
2,630
901
165
4.656
5.906
2.744
3.572
49.858
7,339
368
2,059
15.694
2.356
927
4.439
2.403
1.881
759
1,767
13.555
1,128
13,335
6.624
7.278
10.071
1.710
1.775
1.575
6.322
3,187
2,402
178
589
61
507
36
8
4.426
6.718
772
537
75
233
22,387
1,069
147
271
21
4,697
7.358
547
139
95
86
156
16
274
103
3.687
345
230
1.322
263
165
23
426
1,199
194
362
14.755
648
30
134
2.120
632
135
722
269
210
83
123
1.788
155
2.287
461
718
965
154
196
133
400
331
306
36
70
9
89
2
3
667
1.371
43
46
20
17
5.207
191
16
26
11
1.183
970
68
21
16
18
16
16
58
15
457
90
29
77
32
Bav
Bradford
31
54
Clay
27
Collier
27
Dade
534
79
3
11
Hillsboroudh
79
Lee
8
Leon
7
43
19
Martin
12
Nassau
1
3
12
Palm Beach
69
63
88
Polk
90
18
28
Santa Rosa
17
46
27
Volusia
GEORGIA
14
Bibb
3
Catoosa
1
,
Clavton
55
48
280
10
8
9
9
1
2
48
1
1
168
272
23
10
1
4
1.316
25
2
5
49
Cobb Police Department
91
Coweta
Dade
DeKalb
164
Fayette
2
13
2
2
1
I
32
45
271
198
15
4
1
4
41
Jackson
Jones
Lee
Madison
1
1
7
48
13
9
3
3
5
261
12
1
14
Paulding
Peach
Richmond
20
21
Walker
Walton
3
4
IDAHO
Ada
13
120
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — 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'
ILLINOIS'
Boone
Champaign
Clinton
Cook
Du Page
Grundy
Henry
Jersey
Kane
Kankakee
Kendall
Uke
McHenry
McLean
Macon
Madison
Menard
Monroe
Peoria
Rock Island
Saint Clair
Sangamon
Tazewell
Will
Winnebago
INDIANA
Elkhart
Elkhart State Police
Hamilton
Hamilton State Police
Hancock
Hancock State Police
Harrison
Hamson State Police
Howard
Howard State Police
Lake
Lake State Police
Marion
Manon State Police
Monroe
Monroe State Police
Porter
Porter State Police
Saint Joseph
Saint Joseph State Police .
Tippecanoe
Tippecanoe Stale Police....
Vanderburgh
Vanderburgh State Police
IOWA
Black Hawk
Bremer
Dallas
Dubuque
Johnson
Linn
Polk
Pottawattamie
Scott
Warren
Woodbury
2.120
74
709
44
337
47
322
89
463
16
1.780
316
15,986
526
815
125
841
123
2.359
155
918
132
839
50
712
341
326
464
1.782
16.032
815
848
2.377
925
843
236
237
169
169
295
301
442
442
529
532
559
559
.832
1.841
290
291
245
250
490
494
208
208
31
3
301
8
1
11
S4
4
163
123
5
3
8
32
75
19
136
27
17
22
40
3
6
52
8
57
47
9
210
101
209
16
48
5
2
6
17
g
4
2
92
74
191
106
43
10
8
39
33
33
141
22
8
6
34
21
120
256
54
4
14
4
125
229
494
631
58
47
.238
2,687
680
1,695
69
175
47
108
114
105
502
727
344
400
228
297
,027
1.553
452
860
169
151
170
433
410
502
26
35
98
50
384
689
99
133
631
629
601
872
82
169
950
1,688
830
1,256
558
17
296
8
145
6
95
39
104
1
343
25
3,659
37
260
33
153
12
554
40
236
24
104
2
39
107
72
144
173
459
112
58
201
92
1,208
33
308
21
170
25
191
30
326
6
1.059
91
10,149
222
447
55
609
40
1,592
57
488
66
682
33
120
92
168
325
334
243
991
100
174
249
100
II
47
7
460
275
12
14
II
70
51
15
333
110
16
26
26
3
7
47
7
70
105
2
223
107
113
6
50
10
17
9
17
8
25
7
247
120
1,579
151
58
26
63
27
140
22
40
20
32
6
See footnote at end of table.
121
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
County by State
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
tnan-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
KANSAS
Butler
Douglas
Jefferson
Leavenworth
Miami
Sedgwick
Shawnee
Wyandotte
KENTUCKY
Boone
Boone Police Department
Boone State Police
Bourbon
Bourbon State Police
Boyd
Boyd State Police
Bullitt
Bullitt Police Department
Bullitt State Police
Campbell Police Department
Campbell Slate Police
Carter
Carter State Police
Christian
Christian Police Department .
Christian State Police
Clark
Clark State Police
Daviess
Daviess State Police
Fayette 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 Police Department...
Oldham Stale Police
Scott
Scott Police Department
Scott State Police
Shelby
Shelby State Police
Woodford
Woodford Police Department
Woodford Slate Police
LOUISIANA
Bossier
Caddo
Calcasieu
East Baton Rouge
Jefferson
Lafayette
LaFourche
Livingston
Ouachita
Rapides
400
240
336
289
211
1,700
739
78
39
708
76
73
89
43
179
96
209
58
249
13
17
161
275
119
27
146
46
265
223
15
51
125
253
78
18,833
17
163
81
241
23
292
103
105
53
35
76
181
70
223
II
402
247
342
300
219
1,709
751
79
39
715
80
91
43
179
209
68
250
14
17
164
282
121
37
147
47
266
228
15
51
127
255
83
18.992
I
164
86
249
23
294
109
106
54
35
76
181
70
225
12
780
786
1,996
2,011
4,582
8,848
8,884
28,312
28,417
2,165
2,185
710
729
907
2.033
2,038
1,597
1.600
1
2
125
7
23
53
33
142
27
508
I
2
20
70
100
918
19
6
1
13
15
12
15
18
23
19
175
30
15
12
3
1
13
13
3
2
23
20
51
6
10
4
2
7
4
5
16
20
15
908
3
3
6
4
2
25
18
7
4
4
21
55
152
421
489
1,397
145
50
64
149
86
186
66
133
138
80
631
250
15
13
231
9
28
45
43
92
16
92
16
107
4
4
81
118
17
9
58
20
81
107
I
27
61
73
30
4.639
2
63
49
122
I
110
29
44
18
10
3
66
35
81
222
771
1.310
2,310
6,813
739
266
480
577
396
165
139
161
106
94
751
415
44
26
391
48
39
22
56
76
99
21
116
2
11
40
113
48
4
71
15
169
91
7
15
28
148
26
11.280
9
90
17
92
16
137
38
48
22
11
64
62
33
105
9
480
925
2.604
5.490
17.039
1.102
352
324
1.179
1.028
28
19
21
13
16
102
33
2
42
7
1
4
IS
14
8
8
17
2
4
6
4
7
12
2
4
14
11
5
1.362
2
6
5
17
2
9
15
6
4
8
9
14
2
13
1
14
101
117
423
1.987
127
23
37
90
58
122
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
County by Stale
Cnme
Index
total
Modified*
Cinme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
LOUISIANA— Continued
Saint Charles
Saint Tammany
Terrebonne
West Baton Rouge .
MAINE
Androscoggin
Androscoggin Slate Police..
Cumberland
Cumberland State Police...
MARYLAND
.MIegany
Allegany County Investigator
Allegany State Police
Anne Arundel Police Department .
Anne Arundel 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 Slate Police
Howard
Howard State Police
Montgomery
Montgomery Police Department ...
Montgomery State Police
Queen Anne's
Queen Anne's Slate Police
Washington
Washington State Police
MICHIGAN
Bay
Bay State Police
Berrien
Berrien State Police
Calhoun
Calhoun Sute Police
Clinton
Clinton Slate Police
Eaton ,
Eaton State Police
Genesee
Genesee State Police
Ingham
Ingham State Police
Jackson
Jackson Stale Police
Kalamazoo
Kalamazoo Slate Police....
Kern
Kent Slate Police
Lapeer
Lapeer State Police
Livingston
Livingston State Police
1,832
3,792
2,900
425
268
55
710
105
40
2
684
14,965
1,480
40,290
269
309
767
32
1,928
421
1,218
3.248
521
343
1,064
2,909
773
7,448
535
15
27,383
50
129
533
692
631
850
789
1,233
1,091
480
333
371
36
2,149
453
322
1,000
1,422
335
988
1,066
2,353
42
3,456
718
824
322
970
854
1,839
3.809
269
55
713
105
40
2
15,083
40,688
309
32
421
3,248
343
2,909
7,448
15
27,920
129
692
856
802
1,127
484
345
372
36
2,157
461
326
1.034
1.434
342
1,015
1.070
2.358
44
3,475
731
834
331
979
860
17
4
82
16
199
6
1
9
165
7
285
21
1,416
1
1
9
683
378
298
394
124
I
2
70
577
123
3,897
80
16
160
215
47
206
345
55
3
135
287
100
240
40
15
842
18
12
81
55
84
28
28
100
80
31
38
15
3
54
29
47
79
56
8
90
328
64
3
135
22
37
38
32
46
422
877
,090
2,119
728
1,610
90
176
83
20
268
37
177
3,660
181
8,334
23
90
162
8
428
133
441
730
88
74
256
806
183
1,504
86
5,036
42
127
159
197
156
25
362
51
31
402
9,031
939
22,588
135
192
384
24
1,133
225
432
1,875
304
244
594
1,594
361
4,840
307
18,095
19
72
274
422
286
158
606
155
520
372
662
264
647
176
234
123
144
144
182
15
11
463
1,419
53
346
63
176
259
527
389
873
20
252
201
616
201
441
625
1,519
7
27
623
2,394
164
487
239
493
108
121
263
614
233
490
86
216
123
22
24
1,316
198
3,824
23
9
43
109
14
105
227
55
14
60
139
105
733
83
2,545
13
2
29
41
43
38
39
59
48
26
12
19
5
141
14
26
71
78
35
32
44
113
3
220
35
39
21
43
63
123
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — 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
Arson*
MICHIGAN— Continued
2,449
768
676
33
2,562
1,157
1,319
339
7,653
754
1.619
341
1,257
831
1,664
575
4,443
932
820
362
493
206
279
1,076
165
247
171
537
413
187
869
397
415
853
769
1,252
2,479
601
622
349
285
324
1,148
1,208
496
1S6
413
1,776
13,249
123
5
1,602
5
563
32
824
2,471
782
677
34
2,607
1.190
1,323
340
7,732
776
1,630
342
1,269
862
1,689
591
4,468
947
824
412
500
210
282
1,079
166
250
178
537
416
187
890
400
416
857
786
1,255
2,496
605
350
287
326
1,159
1,211
498
414
1.788
13,390
123
5
1.626
5
570
32
824
2
15
9
6
4
17
24
18
4
40
21
32
9
6
27
44
7
44
38
7
27
1
2
1
9
1
3
6
4
4
1
42
1
3
11
4
12
49
16
4
26
4
83
47
24
3
156
95
65
22
387
78
47
9
114
60
66
37
255
102
44
48
7
13
U
'I
9
7
16
9
2
32
5
19
9
18
16
46
35
75
27
1
40
125
135
12
1
46
106
774
8
3
11
17
12
24
513
213
141
12
653
309
311
98
1.712
228
470
107
220
177
394
214
1,083
149
33
46
199
38
72
210
79
70
51
202
173
36
425
129
99
154
228
307
1.492
282
221
142
129
160
404
315
183
58
124
483
3,003
38
1,519
446
482
13
1,545
656
860
199
4,855
387
994
197
834
513
1,073
273
2,639
468
636
161
234
134
166
764
70
142
92
264
200
122
313
223
258
644
476
844
623
226
293
163
135
102
526
690
256
92
219
1,045
8,236
65
291
49
20
1
160
64
60
11
580
31
65
17
72
47
71
41
312
153
95
66
49
16
28
57
4
20
13
48
24
26
56
37
36
33
39
71
217
29
20
16
16
16
77
51
38
5
18
116
1,004
12
2
71
1
22
4
48
22
14
Midland
3
3
1
1
28
8
5
5
76
9
7
2
9
7
14
3
105
18
5
13
2
2
1
3
2
3
2
1
45
Monroe State Police
33
4
3
4
2
2
1
Oakland
79
Oakland State Police
22
Ottawa
Ottawa State Police
11
1
12
31
25
Saint Clair State Police
16
5
4
1
1
25
Washtenaw State Police
15
Wayne
4
Wayne State Police
SO
MINNESOTA
Anoka
7
4
3
3
Clay
1
Dakota
3
7
3
Olmsted ....
3
3
1
2
21
3
1
Stearns
2
2
I
45
8
6
1
6
8
5
2
4
17
Wright
3
MISSISSIPPI
7
5
3
17
Hinds
4
MISSOURI
Boone
Cass
1
Christian
1
3
2
2
3
2
4
5
10
1
4
11
53
11
Greene
3
2
Platte
1
3
8
1
12
171
1
Saint Charles
12
Saint Louis Police Department
NEBRASKA
141
Douglas
1
1
9
6
5
2
403
150
1
180
1.102
4
365
15
567
24
Lancaster
7
Sarpy
3
2
124
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — 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
Arson*
NEBRASKA— Continued
Sai7>y State Patrol .
Washington
NEVADA
Washoe
NEW JERSEY
Atlantic State Police
Bergen State Police
Burlington State Police...
Camden State Police
Cape May State Police
Cumberland State Police .
Essex County Police
Essex State Police
Gloucester State Police....
Hudson State Police
Hunterdon State Police ...
Mercer State Police
Middlesex State Police
Monmouth State Police...
Moms State Police
Ocean State Police
Passaic State Police
Salem State Police
Somerset Stale Police
Sussex State Police
Union State Police
Warren State Police
NEW MEXICO
Bernalillo...
Dona Ana.
NEW YORK
Albany
Albany State Police
Broome
Broome State Police
Chemung
Chemung State Police
Dutchess ,
Dutchess State Police
Greene ,
Greene State Police
Herkimer
Herkimer State Police
Livingston
Livingston State Police
Madison
Madison Slate Police
Monroe
Monroe State Police
Montgomery
Montgomery State Police .
Nassau
Nassau State Police
Niagara
Niagara State Police
Oneida
Oneida State Police
Ontario
Ontario State Police
Orange
Orange State Police
1,992
1.216
435
1.054
49
672
1,022
624
62
19
38
218
519
155
335
60
219
31
512
13
571
49
278
5,156
1,784
115
718
791
784
469
480
1,141
1,138
10
609
33
500
729
193
58
434
5.577
1,109
263
127
32,767
83
2.001
723
612
1,389
1.094
507
16
1.824
6
101
1,239
435
1.054
50
675
1,022
629
62
19
38
218
519
155
336
60
219
31
512
13
571
49
278
5,176
117
720
800
794
475
486
1,166
1,144
10
615
33
521
733
193
58
439
5,616
1,112
267
128
32,939
85
2,002
728
612
1,406
1,109
507
16
1,856
66
28
100
27
55
1,010
16
36
2
4
10
3
1
125
41
IS
53
12
19
75
118
8
1
5
17
2
16
21
6
12
5
29
1
31
6
19
457
96
8
44
10
27
38
55
120
166
68
48
16
61
23
1
17
49
IS
2
4
751
12
135
27
7
90
74
7
15
85
25
618
155
36
293
3
305
363
54
3
4
4
61
44
2
72
4
36
2
153
3
144
3
76
2,271
923
34
225
194
197
103
62
292
326
4
207
253
143
37
14
177
754
95
71
21
6,592
469
201
231
325
307
97
1,056
938
261
581
26
290
500
265
33
8
20
114
448
109
212
44
153
18
273
7
353
26
144
1.944
628
64
416
543
529
290
353
656
551
6
304
33
225
508
124
36
227
4.474
945
175
92
18,666
47
1,225
472
334
917
659
391
98
53
116
100
6
47
54
68
7
4
4
25
22
18
22
4
15
4
41
2
34
8
33
314
87
25
1
9
4
5
7
220
41
12
7
5,643
3
114
19
29
24
40
8
541
1,022
113
125
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
County by State
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*
NEW YORK— Continued
275
135
540
754
652
270
419
580
1,608
841
6
90
46.121
133
312
179
1.112
268
386
320
903
683
743
669
1,108
367
1.828
1,016
778
1.351
9,938
1,260
475
1,157
1,752
450
2,419
970
4,006
2,139
2,791
1,499
1,231
1,418
224
1.143
3.328
276
174
210
ISO
122
283
491
1.193
514
4.680
362
489
489
275
136
606
755
271
431
584
1.622
846
93
47.430
136
319
181
1. 119
268
386
320
689
743
702
1,120
368
1,835
1,036
785
1,371
10,038
1,267
478
1,163
1,827
456
2,427
974
4,031
2,147
2,815
1,500
1,238
1,421
224
1.145
3.371
278
174
210
150
122
283
521
516
4.714
367
3
5
8
2
2
4
3
16
4
1
1
5
7
1
1
4
4
16
28
20
7
17
23
19
84
26
106
25
97
57
155
278
204
75
95
198
435
266
3
35
10.071
39
58
78
257
72
104
126
289
211
23
195
378
191
710
404
309
367
3.795
541
169
374
584
263
952
398
1,434
701
931
787
559
637
58
524
1,419
92
29
36
38
48
103
113
350
123
969
93
129
119
138
54
321
416
349
155
213
304
993
510
3
42
28,896
56
189
81
797
181
200
138
565
408
621
355
597
141
942
461
401
580
4,809
563
229
618
844
139
1,238
456
2,049
1.183
1.393
612
531
602
127
494
1.467
157
120
138
92
66
138
313
661
319
2.917
200
238
277
9
3
51
30
66
18
22
45
52
20
3
4.337
8
21
14
47
10
19
12
17
30
56
37
61
23
106
67
40
60
707
90
21
53
88
18
103
69
136
119
107
56
56
89
20
67
217
13
6
20
12
6
14
39
70
56
352
20
46
22
Orleans State Police
1
66
1
I
Putnam State Police
1
12
Rensselaer State Police
2
36
4
14
Saratoga State Police
5
2
194
3
1.251
7
3
1
4
8
1.336
20
41
5
3
4
56
41
17
28
30
53
45
8
37
72
10
327
335
42
44
101
196
15
88
35
303
99
295
17
73
60
17
48
120
8
18
10
7
2
14
17
84
3
241
43
66
61
3
Suffolk
1,309
3
7
2
Warren
1
1
3
1
6
1
13
3
3
6
10
3
18
2
6
4
106
4
7
2
II
7
II
i
19
8
3
15
2
7
25
1
1
6
7
Warren State Police
1
1
2
2
4
17
12
12
7
10
6
175
11
4
8
20
4
23
5
58
22
42
12
6
12
2
69
4
Washington State Police
Wayne
Wayne State Police
1
6
6
5
1
3
3
2
7
II
9
1
1
9
4
4
2
6
2
4
7
3
3
1
II
1
6
Westchester
Westchester State Police
NORTH CAROLINA
33
12
Buncombe
7
Burke
20
Cabarrus
7
Catawba
20
100
Davidson
7
Davie
3
6
Forsyth
Franklin
75
6
Guilford
Lincoln
8
4
25
New Hanover
8
Onslow
24
1
Randolph
7
Rowan
3
Stokes
Union
2
Wake
Yadkin
NORTH DAKOTA
Burleigh
43
2
Cass
Grand Forks . ..
1
Morton
OHIO
12
5
24
8
44
2
4
9
2
4
4
3
149
2
5
1
Belmont
Clermont
Delaware
Franklin
Fulton
2
8
2
I
30
2
34
5
Greene
126
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
Counly by State
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
OHIO— Continued
8,008
65J
1.038
1,420
188
874
4,205
l,3')2
2,741
423
2,154
655
378
170
410
359
780
175
396
177
402
471
590
647
281
2,121
523
7.615
1.430
1.130
5,822
418
4,511
517
534
655
264
655
378
448
279
469
2
738
1.848
442
453
777
19
931
1.275
1.720
228
1,038
324
777
793
814
446
8,072
653
1,055
1,432
880
4,263
1,392
2,758
659
378
174
421
361
783
176
415
178
402
477
592
651
281
2,135
529
7,637
1,432
1,134
5,877
419
4,534
524
550
660
269
664
390
451
299
470
2
760
1. 891
445
464
834
19
947
1,301
1.884
234
1.057
334
780
822
830
450
3
1
1
1
47
2
21
12
1
12
45
4
2
2
17
9
1
3
16
9
4
3
2
3
2
4
III
4
19
6
95
4
297
43
6
100
88
132
88
16
157
14
12
1
39
23
57
34
1
40
17
60
19
2
173
11
66
81
8
263
1
34
9
29
77
17
37
13
64
12
10
30
114
5
24
84
9
21
54
65
14
153
22
37
74
9
16
1.302
150
336
- 379
56
305
1,092
346
1,031
159
389
244
114
68
180
167
366
74
146
89
201
226
266
316
197
611
281
2.692
449
400
1.784
202
1,616
210
221
179
105
240
130
112
131
259
1
270
831
76
177
206
171
436
730
123
365
93
219
261
282
153
6,091
456
331
887
106
395
2,511
822
1,358
154
1,488
357
232
82
140
147
218
92
195
56
128
175
210
249
67
880
172
4,100
791
640
2,881
171
2,416
245
219
262
105
294
207
220
100
168
359
36
33
92
19
56
276
76
186
90
89
26
17
14
27
9
125
5
13
24
29
44
46
56
15
388
47
610
84
65
680
34
325
39
38
93
28
58
20
38
28
23
64
Lake
17
12
1
4
1
4
5
189
12
75
2
10
5
2
2
5
2
4
6
58
Stark
17
4
Wood
OKLAHOMA
3
2
6
4
11
2
3
Garfield
1
2
4
4
2
5
8
3
19
McClain
I
6
2
Rogers
2
2
4
Tulsa
Wagoner
OREGON
2
3
15
1
1
5
2
2
32
3
36
14
7
40
2
42
II
6
12
3
2
2
4
9
19
2
4
8
2
5
18
23
35
6
96
10
9
169
6
76
3
9
36
2
7
5
9
6
4
14
6
22
2
Lane
Multnomah
Polk
Washington
4
55
1
23
7
PENNSYLVANIA
2
16
Alleehenv State Police
5
1
7
3
5
Berks State Police
9
12
Bucks State Police
3
Cambria Stale Police
20
Carbon State Police
1
7
1
1
Centre Slate Police
10
22
3
12
9
378
669
339
205
422
7
563
665
642
69
424
182
439
378
473
229
41
186
16
31
48
22
Chester State Police
43
3
11
Dauphm Slate Police
Delaware Cnmmal Investigation
57
I
2
7
4
1
1
5
Division
Delaware State Police
Ene State Police
10
9
25
7
II
2
11
8
5
161
91
228
15
67
20
68
60
35
45
16
26
Fayette State Police
164
6
Lancaster State Police
14
4
2
7
10
3
19
10
Lehigh State Police
3
29
16
Mercer State Police
4
127
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
County by Slate
PENNSYLVANIA— Continued
Monroe State Police
Montgomery State Police
Northampton State Police
Perry Stale Police
Philadelphia State Police
Somerset State Police
Washington State Police
Westmoreland Detective
Westmoreland State Police
York State Police
RHODE ISLAND
Kent Stale Police
Providence Stale Police
Washington State Police
SOUTH CAROLINA
Aiken
Anderson
Berkeley
Charleston Police Department
Dorchester
Florence
Greenville
Lexington
Pickens
Richland
Spartanburg
York
SOUTH DAKOTA
Minnehaha
Pennington
TENNESSEE
Carter
Grainger
Hamilton
Jefferson
Knox
Madison
Montgomery
Robertson
Shelby
Sullivan
Sumner
Tipton
Unicoi
Union
Washington
Williamson
TEXAS
Bell
Beur
Bowie
Brazoria
Brazos
Cameron
Collin
Comal
Coryell
Dallas ,
Denton
Crime
Index
total
1.214
467
406
488
70
523
715
35
2,638
756
76
109
362
3,770
3,957
2,956
6,510
1,218
2,779
9,266
6,169
862
8,041
7,689
3,148
241
708
416
337
1,469
194
4,632
671
504
441
5,502
2,056
681
245
94
202
946
611
1.034
9.272
954
1.529
465
1.497
1.123
800
160
730
1.021
Modified*
Crime
Index
total
1.247
471
407
491
70
530
743
35
2.721
771
76
110
364
3,808
4,006
2.977
6,558
1.224
2,804
9,377
6,190
867
8,095
7,745
3,178
244
711
435
348
1,558
196
4,711
694
446
5,535
688
245
94
206
957
615
1,063
9.411
972
1.538
465
1.523
1.143
803
161
799
1,029
Murder
and non-
negligent
man-
slaughter
Forcible
rape
39
38
43
66
19
32
81
36
3
108
81
31
14
Robbery
94
37
35
142
12
24
172
68
2
252
103
34
16
76
12
1
7
143
19
9
2
Aggra-
vated
assault
46
585
60
127
10
133
15
216
1
18
15
268
24
281
3
117
919
13
341
497
249
144
868
44
332
830
542
96
1,115
651
222
24
29
112
187
37
47
47
173
138
47
27
1
34
45
44
Burglary
26
II
125
1,206
1.417
818
1,741
467
915
2,591
1,649
238
2,284
1,908
1,052
92
154
56
386
484
497
3,142
4,624
51
341
479
76
586
742
12
233
192
115
840
461
72
477
472
9
306
441
4
81
66
80
277
297
83
442
357
Larceny -
theft
463
229
235
201
46
195
289
30
1,230
342
30
53
178
1,695
1,933
1,703
3,296
601
1,308
4,966
3,564
480
3,413
4,492
1,626
120
459
210
149
139
134
621
611
106
77
1,761
2,183
248
332
228
194
193
163
1,814
2.459
643
1.108
261
321
115
82
25
61
91
61
381
453
227
290
Motor
vehicle
theft
Arson*
100
43
20
44
3
36
92
326
46
16
25
22
233
275
206
388
72
159
604
301
40
851
444
180
15
26
27
32
98
10
383
32
33
26
832
132
36
14
6
10
54
34
76
849
56
79
21
60
62
33
9
59
112
128
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
Counly 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*
TEXAS — Continued
Ector
Ellis
El Paso
Fort Bend
Galveston
Grayson
Gregg
Guadalupe
Hardin
Harris
Harrison
Hays
Hidalgo
Jefferson
Johnson
Kaufman
Liberty
Lubbock
McLennan
Midland
Montgomery
Nueces
Orange
Parker
Potter
Randall
Rockwall
San Patricio
Smith
Tarrant
Taylor
Tom Green
Travis
Victoria
Waller
Webb
Wichita
Williamson
UTAH
Davis
Salt Lake
Utah
Weber
VIRGINIA
Albemarle Police Department ..
Albemarle State Police
Amherst
Amherst State Police
Botetourt
Botetourt State Police
Campbell
Campbell State Police
Charles City
Charles City State Police
Chesterfield Police Department
Chesterfield State Police
Dinwiddle
Dinwiddle State Police
Fairfax Police Department
Fairfax State Police
Fluvanna
Fluvanna State Police
Gloucester
Gloucester State Police
Goochland
1.838
1.018
2.056
2,528
1.164
1.210
768
466
346
40.101
588
570
3.978
671
1.147
901
905
1.147
961
902
6,552
397
941
1,265
178
318
266
706
2,453
2,002
229
454
4.989
592
301
288
360
1.495
281
15,765
328
680
1.620
14
534
5
435
14
64S
19
50
7
6,605
38
238
II
25,637
84
92
1
598
13
192
1.846
1.018
2.061
2.657
1.166
1.223
774
466
348
40.529
593
573
3,994
677
1.148
903
905
1.155
974
908
6,644
397
952
1,269
182
321
267
710
2.498
2,017
235
460
5,028
598
305
288
363
1,499
282
15,810
329
680
1,620
19
553
5
438
14
653
20
50
7
6,677
38
257
II
25,977
85
93
I
603
14
194
10
5
288
6
9
27
25
14
10
7
3
5
1,088
8
2
38
15
529
1
19
55
143
56
26
21
44
3
17
1,318
28
35
294
44
28
41
117
54
16
84
330
44
124
49
15
8
16
44
92
90
9
61
238
36
27
27
48
121
18
609
10
6
11
3
72
1
8
2
71
5
15
3
354
49
710
542
641
1.029
508
535
322
231
113
13.778
267
278
2.063
210
634
432
368
529
513
342
2.486
148
374
622
73
126
121
314
923
803
114
189
1,875
204
181
76
174
465
70
2,544
85
130
303
1
87
118
118
5
13
1,439
89
I
3,543
1,003
330
1,069
1,240
539
575
331
205
175
8.018
255
233
1.329
362
352
327
339
462
362
408
3,190
166
362
492
76
149
92
311
1,211
933
96
180
2,554
315
58
153
102
798
167
12,051
212
490
1,160
6
352
4
271
10
418
8
23
4
4,640
29
117
5
18,972
26
34
76
78
137
172
65
56
51
22
29
5,531
21
22
208
31
119
80
69
66
54
34
456
25
68
94
9
26
30
31
173
138
4
12
232
28
19
25
24
16
428
15
47
81
2
30
1
23
1
22
4
3
1
334
4
12
2,157
8
2
438
6
92
129
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
County by State
Crime
Index
total
Modified*
Clime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
VIRGINIA— Continued
Goochland State Police
Greene
Greene State Police
Hanover
Hanover State Police
Henrico Police Department
Henrico State Police
James City Police Department
James City State Police
Loudoun
Loudoun 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
Roanoke State Police
Scott
Scott State Police
Stafford
Stafford State Police
Washington
Washington State Police
York
York State Police
WASHINGTON
Benton
Clark
Franklin
King
Kitsap
Pierce
Snohomish,
Spokane ...
Thurston ...
Whatcom...
Yakima
WEST VIRGINIA
Brooke
Brooke State Police
Cabell
Cabell Slate Police
Hancock
Kanawha
Kanawha State Police .
Marshall
Marshall State Police...
Mineral
Mineral State Police...
Ohio
Ohio State Police
Putnam
Putnam State Police . .
Wayne
Wayne State Police
Wood
Wood State Police
17
96
3
971
74
7.994
38
1.052
3
1.225
21
209
21
862
23
124
14
467
8
6,919
24
1,883
22
191
10
833
61
552
15
1,059
4
127
6
502
316
128
600
810
62
26
29
161
143
4S
378
87
135
274
327
140
17
98
3
975
75
8,076
38
1,053
3
1.232
21
211
21
869
24
126
14
476
8
6,959
24
1,894
22
192
10
843
61
561
16
1,064
4
915
928
6,783
6,790
417
422
29,918
30,361
3,636
3,659
16,032
16,147
6,970
7,054
7,248
7,273
3,091
3,118
1,699
1.704
4,278
4,305
127
6
504
318
131
605
819
69
26
29
164
143
45
381
87
135
276
320
140
16
39
8
308
35
214
64
33
40
17
40
10
1
192
16
101
9
4
5
79
373
20
272
58
87
17
12
54
14
3
183
5
92
173
6
72
3
13
84
88
12
543
211
825
223
15
119
29
160
258
9
1,758
2
156
268
3
65
5
306
7
45
3
166
1
1,302
1
260
4
94
4
149
2
222
2
226
I
347
2.270
192
9,200
1,102
5,711
2,968
2,372
1,179
670
1,874
41
3
114
110
58
172
347
23
17
10
63
45
7
122
46
51
87
111
46
12
48
3
623
52
5,311
30
735
2
772
8
109
8
455
7
55
6
259
5
4.791
13
1.476
12
65
2
571
9
263
9
699
426
3.859
171
17.278
2.071
8,202
3.135
4.420
1.584
894
1.907
69
2
313
130
44
291
299
26
4
11
70
67
26
225
29
59
131
208
75
58
8
485
I
44
I
103
3
18
S
30
6
5
2
16
2
505
4
59
3
13
4
69
4
37
1
53
1
36
445
32
2,190
193
799
518
316
150
74
226
p
1
42
2
50
2
15
3
64
5
108
9
6
7
2
?
15
3
16
R
23
3
5
16
28
2
8
2
13
130
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1987 — Continued
Counly by Stale
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
WISCONSIN
Brown
Calumet
Chippewa
Dane
Douglas
Eau Claire
Kenosha
La Crosse
Marathon
Milwaukee
Outagamie
Ozaukee
Racine
Rock
Saint Croix
Sheboygan
Washington ^.
Winnebago
WYOMING
Laramie
Natrona
1.365
162
206
1,284
396
425
1,325
539
723
610
1.150
237
853
533
374
642
860
437
565
628
1..^68
165
206
1,300
397
427
1,340
542
726
619
237
859
535
378
646
862
439
569
634
326
34
43
320
177
132
321
140
206
8
207
59
248
129
124
149
213
97
87
222
934
no
163
748
203
262
867
312
443
503
845
157
513
319
232
458
581
324
383
329
101
13
15
lOI
23
43
35
26
13
56
22
12
27
38
10
16
1
2
15
3
3
9
'Forcible rape figures furnished to 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. Cnme Index lota! and Modified Cnme index total categories.
131
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987
[The data shown in this table do not reflect county totals but are the number of ofTenses reported by the shenfTs otTice, county police department, or state police.]
• Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Cnme Index total is the sum of the Cnme Index
offenses, including arson.
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Cullman
Dallas
De Kalb
Jackson
Lawrence
Limestone
Marshall
Morgan
Talladega
ARIZONA
Apache
Cochise
Coconino
Mohave
Navajo
Pinal
Yavapai
ARKANSAS
Benton
Craighead
Garland
Independence
Mississippi
White
CALIFORNIA
Calaveras
Calaveras Highway Patrol
Humboldt
Humboldt Highway Patrol
Imperial
Imperial Highway Patrol
Imperial State Police
Kings
Kings Highway Patrol
Lake
Lake Highway Patrol
Madera
Madera Highway Patrol
Mendocino
Mendocino Highway Patrol
Nevada
Nevada Highway Patrol
San Luis Obispo
San Luis Obispo Highway Patrol
Tehama
Tehama Highway Patrol
Tuolumne
Tuolumne Highway Patrol
COLORADO
Mesa
DELAWARE
Kent State Police
Sussex State Police
FLORIDA
Charlotte
Citrus
400
3S6
384
457
339
283
362
492
S46
179
1,055
525
1,142
403
1,472
1,166
679
325
301
892
502
291
1,098
66
1,943
61
1.495
145
I
1,405
75
1,285
56
2,035
98
1,554
89
1,476
103
1,606
104
758
9
1,336
65
1,855
1,662
2,575
3,261
2,914
360
362
494
ISO
1,061
525
1,158
406
1,482
1,175
682
327
302
893
512
292
1.130
1,967
1,536
1
1.421
1.301
2.050
1.569
1,482
1,613
785
1,362
1,860
1.664
2.575
3.261
2.922
13
21
12i
12
15
128
137
160
28
175
127
249
263
2
138
2
303
356
I
430
322
145
175
52
215
50
128
185
56
260
154
169
168
161
121
95
164
179
142
71
407
154
403
154
426
389
277
160
141
247
145
139
465
798
520
I
495
385
743
649
388
531
303
436
570
430
826
1.041
1,051
222
165
122
193
122
122
156
196
317
91
411
207
475
193
715
553
323
126
104
556
238
124
353
802
2
761
13
568
12
521
793
1
545
II
916
6
862
24
355
I
668
1,151
902
1,334
1,967
1.415
13
10
36
41
27
23
21
26
18
2
82
23
81
23
113
80
39
34
44
50
17
18
II
66
28
57
34
130
13
63
12
55
I
97
4
77
6
97
3
80
30
8
3
65
68
100
111
170
157
132
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — Continued
Couniy by Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
ncghgent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
FLORIDA— Continued
Cotumbii
Highlands
Indian River
Jackson
Uke
Monroe
Putnam
GEORGIA
Bartow
Carroll
Floyd Police Department
Glynn
Glynn Police Department
Gordon
Liberty
Whitfield
HAWAII
Hawaii
Kauai
Maui
IDAHO
Bonneville
Canyon
Kootenai
ILLINOIS'
Adams
La Salle
Ogle
Vermilion
INDIANA
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 Sute Police
Knox
Knox State Police
Perry
Perry State Police
1.028
1,442
1,666
1,072
2,502
4,367
2.279
455
982
1,229
1
2,198
531
512
1.777
2,665
2,543
6,582
871
769
1.164
334
41
262
79
642
73
431
46
210
I
524
26
180
6
501
28
322
1
437
1,034
1,442
1,673
1,083
2,550
4.383
2.282
1,280
I
2,681
2,555
6,646
879
775
1,170
264
642
435
215
1
566
28
181
6
527
28
347
1
451
15
103
141
156
98
308
490
378
103
19
51
87
77
51
265
10
61
25
3
107
383
385
529
671
731
574
383
532
1.061
861
1.157
2,363
855
801
721
645
1.536
246
285
463
131
184
49
323
123
5
67
22
241
9
126
6
58
1
205
6
89
1
184
18
144
138
1,735
1.688
4,391
530
402
568
154
171
81
534
193
22
155
35
343
28
235
30
132
185
19
35
155
7
77
1
151
111
57
120
41
206
256
136
201
183
61
362
469
76
387
684
94
509
1.431
106
199
226
71
178
228
38
616
846
191
100
132
323
57
45
See footnote at end of table.
133
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — 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
KENTUCKY— Conlinued
Pike
Pike State Police
Pulaski
Pulaski State Police
Warren
Warren State Police
LOUISIANA
Acadia
Avoyelles
Iberia
Iberville
Plaquemines
Saint Landry
Saint Mary
Vermilion
Vernon
Washington
MAINE
Aroostook
Aroostook State Police
Hancock
Hancock State Police
Kennebec
Kennebec State Police
Penobscot
Penobscot State Police
York
York State Police
MARYLAND
Garrett
Garrett State Police
Saint Mary's
Saint Mary's State Police
Wicomico
Wicomico State Police
MICHIGAN
Allegan
Allegan State Police
Barry
Barry State Police
Cass
Cass State Police
Grand Traverse
Grand Traverse State Police
Hillsdale
Hillsdale State Police
Ionia
Ionia State Police
Isabella
Isabella State Police
Lenawee
Lenawee State Police
Montcalm
Montcalm State Police
Newaygo
Newaygo State Police
Saint Joseph
Saint Joseph State Police
Sanilac
Sanilac State Police
Shiawassee
71
755
345
33
176
283
570
397
834
550
796
999
841
544
1,065
651
110
443
452
83
113
360
452
237
342
234
320
274
1,623
463
561
811
1,221
713
523
540
808
208
1,146
585
369
206
249
465
470
228
864
272
871
273
540
401
596
329
646
170
617
71
807
347
48
176
312
574
398
836
550
800
844
545
1,069
110
448
452
83
113
361
453
238
347
236
320
1,630
561
1,229
735
528
547
815
217
1,148
589
376
215
254
474
476
232
884
280
875
280
544
408
600
343
650
175
621
115
162
45
146
98
81
80
35
181
64
61
27
199
56
102
98
17
244
120
9
54
93
126
69
246
141
189
316
273
148
249
215
37
177
182
42
41
151
229
65
138
102
84
123
394
122
171
354
342
251
153
185
302
69
257
193
139
88
73
165
154
69
235
87
278
105
241
169
182
108
269
64
178
17
318
154
11
109
100
298
146
489
254
471
536
438
311
559
320
60
206
239
21
58
169
181
108
169
96
151
101
965
243
260
307
687
340
308
262
420
104
817
338
169
86
132
239
292
115
526
127
502
132
205
181
369
145
304
85
370
4
79
16
7
12
30
20
29
4
24
44
30
32
53
28
4
33
23
10
8
19
25
44
29
25
19
16
41
30
4
25
58
52
18
25
38
14
28
14
26
12
13
24
9
7
44
26
34
11
22
13
14
9
21
9
24
134
Table 9.
■ Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — Continued
County by Stale
Cnmc
Index
total
Mixiified*
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
MICHIGAN— Continued
Shiawassee Stale Police
Tuscola
Tuscola Slate Police
Van Buren
Van Buren Slate Police
MINNESOTA
Crow Wing
Itasca
Otter Tail
MISSISSIPPI
Jones
Lee
Warren
MISSOURI
Camden
Cole
Johnson
Pulaski
Saint Francois
MONTANA
Flathead
Silver Bow
NEW HAMPSHIRE
Hillsboro Stale Police
Merrimack
Merrimack State Police
Rockingham Stale Police
NEW MEXICO
San Juan
NEW YORK
Allegany State Police
Cattaraugus
Cattaraugus State Police
Cayuga
Cayuga State Police
Chautauqua
Chautauqua Stale Police
Chenango
Chenango State Police
Clinton
Clinton State Police
Columbia
Columbia State Police
Delaware
Delaware State Police
Franklin Stale Police
Fulton
Fulton State Police
Genesee
Genesee Slate Police
Jefferson
Jefferson State Police
Otsego State Police
Saint Lawrence
176
539
307
976
1.127
787
841
589
430
513
584
484
412
202
183
263
1.557
1,942
103
12
140
46
462
500
279
529
479
496
774
422
306
271
5
1,157
383
469
150
394
389
578
177
555
119
438
652
654
553
180
546
309
982
1,149
793
846
596
513
585
485
412
183
1,565
1,942
107
12
144
52
508
316
536
487
506
422
311
272
5
1,166
389
471
400
399
579
178
119
654
658
10
53
1
28
42
51
81
8
20
25
18
1
187
53
8
11
23
40
30
12
4
6
25
29
22
49
66
183
106
389
410
350
321
210
254
214
269
262
122
90
94
84
360
349
198
196
103
192
173
132
233
121
109
107
2
227
96
141
51
215
150
162
64
140
48
137
195
172
176
81
277
143
493
501
358
441
335
163
224
274
150
199
101
70
104
1,036
1,441
162
261
135
269
219
274
519
277
154
131
2
711
201
292
80
145
194
352
90
395
57
253
406
444
311
9
50
10
36
81
33
56
26
41
22
28
15
4
4
19
99
109
14
4
30
15
10
19
32
5
5
3
18
14
32
29
26
8
9
3
24
6
8
3
18
14
12
14
135
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — 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
NEW YORK— Continued
Saint Lawrence State Police
Sullivan
Sullivan State Police
Tompkins
Tompkins State Police
Wyoming
Wyoming State Police
NORTH CAROLINA
Beaufort
Caldwell
Carteret
Chatham
Cleveland
Columbus
Craven
Duplin
Edgecombe ...
Halifax
Harnett
Haywood
Iredell
Jackson
Johnston
McDowell
Moore
Nash
Pitt
Richmond
Robeson ..,,...
Rockingham .
Rutherford ...
Surry
NORTH DAKOTA
Ward.
OHIO
Ashtabula .
Columbiana .
Coshocton ...
Darke
Gallia
Holmes
Huron
Logan
Marion
Mercer
Muskmgum .
Ottawa
Preble
Putnam
Sandusky
Scioto
Shelby
Tuscarawas..
Wayne
OREGON
Coos
Deschutes
Douglas .
Josephine
Klamath ..
Linn
604
495
1.064
903
495
289
144
501
1,198
771
560
1,412
932
915
489
659
699
1,621
713
887
226
1,296
498
567
967
1,225
537
932
1,086
647
592
231
1,287
420
544
563
647
217
371
456
797
357
1,055
622
699
171
388
1.222
303
204
789
833
1,180
1,730
1,688
766
1,571
611
497
1,086
907
495
295
145
505
1.216
773
562
1.413
963
916
495
669
718
1.652
715
892
227
1.306
502
571
970
1,236
540
932
1.089
652
592
232
1.310
420
546
570
649
217
373
457
803
357
1.069
622
709
171
1.234
204
797
835
1.186
1,732
1,697
770
1,583
32
87
24
20
48
70
48
67
31
54
181
30
80
6
26
19
5
36
70
66
75
110
56
57
30
14
63
63
69
74
7
27
3
48
20
107
4
34
22
42
78
17
216
131
447
290
173
126
38
207
513
96
258
593
430
298
177
321
309
711
333
398
123
583
193
274
428
512
221
378
387
206
236
63
351
4
50
182
194
66
127
154
210
79
302
191
217
74
68
410
94
56
251
255
361
553
647
284
682
326
235
474
566
299
123
39
226
510
590
244
666
338
476
198
270
299
588
285
327
91
522
252
241
431
538
205
348
536
319
242
121
829
311
415
278
349
129
197
264
499
234
583
391
390
62
261
649
165
131
435
449
726
1,018
891
435
763
15
44
66
28
8
34
2
31
65
48
23
86
54
71
36
23
23
108
54
61
5
135
28
35
53
80
31
94
46
55
52
76
33
15
19
26
15
19
24
33
21
49
33
35
10
15
75
19
17
77
64
67
86
110
24
67
136
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — 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
Bedford Slate Police
Butler Slate Police
Clarion State Police
Clearfield
Clearfield State Police
Crawford State Police
Franklin State Police
Greene State Police
Huntmgdon State Police
Indiana Stale Police
JefTerson State Police
Lawrence State Police
Northumberland Slate Police .
Schuylkill Stale Police
Snyder State Police
Susquehanna State Police
Tioga State Police
Venango State Police
Warren
Warren Slate Police
Wayne State Police
SOUTH CAROLINA
Beaufort
Cherokee
Chesterfield
Colleton
Darlington
Georgetown
Greenwood
Horry Police Department
Kershaw
Lancaster
Laurens
Oconee
Orangeburg
Sumter
Williamsburg
TENNESSEE
Bradley
Greene
Hamblen
McMinn
Roane
TEXAS
Anderson
Angelina
Henderson
Hunt
Rusk
Starr
Van Zandt
VIRGINIA
Accomack
Accomack State Police
Augusta
Augusta State Police
Bedford
Bedford Stale Police
Buchanan
Buchanan Stale Police
Carroll
578
1,122
457
I
553
851
633
457
443
759
355
669
324
723
356
310
363
669
56
391
496
4,415
806
568
572
1,351
825
1,144
5,093
1,004
1,535
1,135
682
3,027
2,235
492
557
548
476
365
606
548
637
912
849
619
464
799
479
54
860
31
527
9
224
74
185
582
1.142
473
1
568
874
694
471
455
775
356
695
324
736
358
313
372
672
56
404
502
4,433
825
589
578
1,369
831
1,149
5,125
1,010
1,551
1,145
686
3.057
2,255
494
563
570
477
366
607
551
637
916
849
619
469
805
483
2
54
862
3
32
529
2
9
225
1
78
188
4
37
17
110
7
1
11
16
22
8
10
40
5
15
12
66
6
10
10
8
6
18
23
530
82
57
62
153
63
124
411
99
184
149
56
549
337
90
194
387
177
245
349
236
179
176
280
172
268
126
221
125
170
198
299
13
205
263
158
290
212
180
190
175
193
474
449
344
211
327
243
22
177
2
189
2
65
22
89
331
515
218
258
416
320
202
228
333
159
315
157
360
190
98
109
318
37
145
169
1,141
2.489
303
326
249
214
196
254
507
521
298
410
306
649
1,537
2,690
311
502
461
795
438
493
241
346
1.020
1,193
736
970
210
144
301
161
211
155
332
278
382
304
282
218
154
329
196
25
589
17
285
5
100
37
73
26
96
45
24
62
40
60
23
79
14
62
19
49
23
28
28
37
19
33
183
71
33
40
135
42
49
341
77
61
35
27
149
129
21
61
55
41
5
26
34
42
35
61
51
59
65
15
5
35
3
20
2
21
9
12
137
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — 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
VIRGINIA— Continued
Carroll State Police
Fauquier
Fauquier State Police
Franklin
Franklin State Police
Frederick
Frederick Stale Police
Halifax
Halifax State Police
Henry
Henry State Police
Rockingham
Rockingham State Police
Russell
Russell State Police
Spotsylvania
Spotsylvania State Police
Tazewell
Tazewell State Police
Wise
Wise State Police
WASHINGTON
Chelan
Clallam
Cowlitz
Island
Lewis
Skagit
WEST VIRGINIA
Berkeley
Berkeley State Police
Fayette
Fayette State Police
Harrison
Harrison State Police
Jefferson
Jefferson State Police
Logan
Logan State Police
McDowell
McDowell State Police
Marion
Marion State Police
Mercer
Mercer State Police
Mingo
Mingo State Police
Monongalia
Monongalia State Police
Raleigh
Raleigh State Police
Wyoming
Wyoming State Police
WISCONSIN
Clark
Columbia
Dodge
Fond du Lac
Jefferson
Manitowoc
Marinette
Polk
Sauk
17
362
44
353
7
769
37
274
34
1.332
22
319
42
149
14
1,692
56
294
38
280
17
1.489
755
897
507
1.125
1.208
1,119
363
237
171
238
213
68
374
73
651
151
192
221
151
346
277
87
186
242
345
777
228
209
125
637
548
371
308
366
457
724
759
279
18
365
44
353
7
775
37
276
35
1.352
24
322
46
155
14
1,693
57
295
40
280
22
1,494
755
903
510
1,139
1.212
638
549
376
309
366
463
725
770
280
1.129
167
242
2
.171
1
239
4
715
68
380
3
73
666
7
151
2
194
1
776
152
146
279
3
87
1
189
4
243
347
777
6
228
1
210
2
126
1
1
6
8
6
3
12
1
1
2
106
7
93
1
161
3
101
5
437
92
3
46
3
266
8
90
13
108
438
241
376
209
494
454
276
202
76
61
64
63
21
176
32
197
11
116
61
41
154
110
19
47
65
109
208
59
81
42
157
189
101
62
62
135
341
388
54
7
199
26
213
2
521
23
122
18
748
16
198
10
84
7
1.280
28
127
16
131
12
918
420
429
268
540
638
770
103
92
79
128
42
31
143
30
255
49
36
126
78
95
114
37
49
169
166
460
141
83
44
436
298
228
221
256
255
336
300
214
38
6
28
2
61
2
9
7
68
5
10
19
12
1
93
7
12
5
26
5
75
32
46
16
45
63
38
43
10
19
23
24
3
37
8
163
5
25
18
16
47
30
26
52
6
51
55
26
27
35
25
22
20
21
20
46
34
60
8
138
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1987 — 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*
WISCONSIN-Continued
Shawano
505
328
790
646
437
5,219
33
206
9,537
114
1.952
6,193
15
4,128
507
328
793
647
437
33
9,625
114
1.974
15
4.150
2
4
3
2
108
11
9
19
3
527
33
131
82
222
230
169
1,743
314
228
499
357
243
2,319
47
18
54
36
18
466
206
821
16
160
358
269
2
2
1
1
28
Walworth
^
Wood
1
28
STATE AGENCIES
Alaska Stale Police
Colorado State Patrol
Connecticut Slate Police
10
17
8
11
70
18
48
125
133
2
19
22
70
896
6
397
209
15
124
3,296
6
739
2,312
1,060
4,311
84
602
3,236
2,469
88
Vermont State Police
OTHER AREAS
22
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance
with national UCR guidelines. Therefore, the figures were excluded from the forcible rape, Crime Index total, and Modified Crime Index total categories.
139
Table 10. — Crime Trends, Offenses Known to the Police, Population Group, 1986-1987
[1987 estimated population]
Population group
Crime
Index
total
Modified
Cnme
Index
total'
Violent
cnme^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TOTAL ALL AGENCIES:
13,184 agencies;
population 229,606,000:
1986
1987
Percent change
TOTAL aTIES: 8,932 cities;
population 154,806,000:
1986
1987
Percent change
Group I
62 cities. 250,000 and over;
population 44.693,000:
1986
1987
Percent change
8 cities, 1,000,000 and over;
population 20,176,000:
1986
1987
Percent change
16 cities, 500,000 to 999,999;
population 10,649,000:
1986
1987
Percent change
38 cities, 250,000 to 499,999;
population 13,868,000:
1986
1987
Percent change
Group II
127 cities, 100,000 to 249,999;
population 18,574,000:
1986
1987
Percent change
Group III
311 cities, 50,000 to 99.999;
population 21,185.000:
1986
1987
Percent change
Group IV
657 cities, 25,000 to 49,999;
population 22,525,000:
1986
1987
Percent change
12,505,052
12,774,155
+2.2
12,609,170
12,873,159
+2.1
1,421,359
1,415,393
-.4
11,083,693
11,358,762
+2.5
19,585
19,075
-2.6
82,242
82,100
-.2
529,106
503,949
^.8
790,426
810,269
+2.5
3,068,999
3,057,223
-.4
6,848,391
7,073.710
+3.3
1,166,303
1,227,829
+5.3
10,249,105
10,455,641
+2.0
10,330,448
10,533,260
+2.0
1,203,241
1,197,776
-.5
9,045,864
9,257,865
+2.3
15,526
14,953
-3.7
63,937
63,818
-.2
483,704
460,245
-4.8
640,074
658,760
+2.9
2,378,094
2,359,974
5,668,990
5,850,252
+3.2
998,780
1,047,639
+4.9
179,014
239,553
+ 1,4
866,678
868,499
+ .1
935,944
958,981
+2,5
,376,392
,412,073
+2.6
1,489,135
1,526,015
+2,5
1,306,518
1.340,976
+2.6
1.231,779
1.262,018
+2.5
4,217,589
4,277,329
+ 1.4
1,886,211
1,887,924
+ ,0
943,879
966,806
+2,4
1,387,499
1,422,599
+2.5
1,501,988
1,538,422
+2,4
1,316,150
1.349,614
+2,5
1.239,435
1.269,168
+2.4
670,453
664,420
-.9
367,677
370,165
-l-,7
129.189
124,961
-3.3
173.587
169,294
-2.5
162.114
156,729
-3.3
127,462
130,418
+2,3
101,022
103,704
+2,7
3,508,561
3,575,133
+ 1,9
1,499,001
1,498,334
+ ,0
806,755
834,020
+3,4
1,202,805
1,242,779
+3.3
1,327,021
1,369,286
+3,2
1,179,056
1,210,558
+2.7
1,130,757
1,158.314
+ 2,4
9,382
9,051
-3,5
5,008
4,936
-1,4
2,016
2,037
+ 1.0
2,358
2,078
-11,9
2,070
1.917
-7.4
1.301
1.281
-1,5
1.076
1.056
-1,9
31,754
30,501
-3,9
11,473
11,037
-3,8
8,706
8,269
-5.0
11.575
11.195
-3,3
9.501
9,734
+2.5
8,080
8,302
+2.7
6,271
6,390
+ 1,9
325,619
306,068
-6,0
191,943
181,527
-5,4
61,010
55,961
-8,3
72.666
68.580
-5,6
58,600
56,224
-4,1
42,258
40,883
-3,3
29.081
29.030
-,2
303.698
318.800
+ 5,0
159.253
172,665
+ 8.4
57,457
58.694
+2.2
86,988
87,441
+,5
91,943
88,854
-3.4
75.823
79.952
+5.4
64.594
67,228
+4.1
977,091
959,889
-1.8
402,772
385,448
-4.3
224,165
227,265
+ 1,4
350,154
347,176
-,9
374,598
379,494
+ 1.3
310.960
309,550
-,5
279.578
279.478
+.0
1,979,459
2,041,276
+ 3.1
796.900
808.590
+ 1.5
467,517
483.060
+ 3.3
715,042
749,626
+4.8
835,059
861,365
+3.2
750,846
774,295
+ 3.1
759,515
782,924
+3.1
552,011
573,968
+4.0
299,329
304,296
+ 1.7
115,073
123,695
+ 7,5
137,609
145,977
+6,1
117,364
128,427
+9.4
117,250
126,713
+8.1
91,664
95,912
+4.6
140
Table 10. — Crime Trends, Offenses Known to the Police, Population Group, 1986-1987 — Continued
Popultlion group
Cnme
Index
lotst
Modified
Crime
Index
lOIll'
Violenl
cnme'
Propeny
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group V
1,615 cities, 10.000 lo 24.999;
population 25,433.000:
1986
1,138.802
1.167.379
+2.5
903.857
919.700
+ 1.8
1,717,659
1,770,548
+3.1
538,288
547,966
+ 1.8
3.857,655
3.968,363
+2.9
1,145.632
1.173.742
+2.5
909.654
924.985
+ 1.7
1.734.834
1.786.827
+3.0
543.888
553.072
+ 1.7
3,888,433
3,997,251
+2.8
81,517
81,850
+.4
60,673
60,655
+.0
168,434
167,750
-.4
49,684
49,867
+.4
325,748
328.879
+ 1.0
1.057.285
1.085.529
+2.7
843.184
859.045
+ 1.9
1,549,225
1,602,798
+3.5
488,604
498,099
+ 1.9
3,531,907
3,639,484
+3.0
941
958
+ 1.8
756
690
-8.7
2,613
2,616
+ .1
1,446
1,505
+4.1
4,223
4,254
+ .7
4,954
5,266
+6.3
3,377
3,625
+7.3
13,106
13,122
+.1
5,199
5,160
-.8
22,337
22,840
+2.3
18,832
18,786
-.2
9,314
9.254
-.6
41,108
39,636
-3.6
4,294
4,068
-5.3
83,856
82,139
-2.0
56.790
56.840
+.1
47,226
47,086
-.3
111,607
112,376
+.7
38,745
39,133
+ 1.0
215,332
219,646
+2,0
247,827
246,713
-.4
188.040
184.850
-1.7
501,809
505,004
+.6
189.096
192.245
+ 1.7
967.795
968.187
+.0
736,291
763.413
+3.7
607,820
626,979
+3.2
911,039
948,981
+4.2
268,362
274,477
+2.3
2,265.800
2,353.864
+3.9
73,167
75.403
+3.1
47,324
47,216
-.2
136,377
148.813
+9.1
31,146
31,377
+ .7
298,312
317,433
+6.4
6,830
1987
6,363
-5.8
Group VI
6,160 cities under 10,000;
population 22,396,000:
1986
5,797
1987
5,285
Percent chanBe
-8.8
Suburban Counties
1,318 agencies; population
45.745,000:
1986
17,175
1987
16,279
Percent chanBe
-5.2
Rural Counties*
2,934 agencies: population
29.055,000:
1986
5,600
1987
5,106
Percent chanae
-8.8
Suburban Area'
6,171 agencies; population
92,878,000:
1986
30.778
1987
28.888
-6.1
'The number of agency reports used in arson trends is less than used in compiling trends for other Crime Index offenses. However, the number of agencies used in the arson
column of this table is greater than the number used in the tables on pages 37-38, since it is not necessary to report arsons by property classification to be included in this table.
The Modified Cnme Index total is the sum of the Crime Index offenses, including arson.
^Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property 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 mcluded in other groups.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (VCR) Program administered by the Illinois Department of State Police were not in accordance with
national UCR guidelines and were excluded from the forcible rape, violenl crime. Crime Index total, and Modified Crime Index total categories.
141
Table 11. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1986-1987
[1987 estimated population]
Population group
Cnme
Index
total
Modified
Crime
Index
lolal'
Violenl
crime'
Properly
crime*
Murder
and non-
neghgenl
man-
slaughter
Forcible
rape
Robliery
Aggra-
vated
assault
Burglary
Larceny-
Ihefl
Motor
vehicle
theft
Arson^
Suburban Cities
TOTAL SUBURBAN CITIES:
4,853 cities;
population 47,132,000:
1986
2,139,996
2,197,815
+2.7
2,153,599
2,210,424
+2.6
157,314
161,129
+2.4
1,982,682
2,036,686
+2.7
1,610
1,638
+1.7
9,231
9,718
+5,3
42,748
42,503
-.6
103,725
107,270
+3,4
465,986
463,183
-.6
1,354,761
1,404,883
+3,7
161,935
168,620
+4.1
13,603
12,609
-7 3
1987
Percent change
Group IV
482 cities, 25,000 to 49,999;
population 16,472,000:
1986
1987
846,379
868,749
+2.6
851,799
873,763
+2.6
70.138
73.012
+4 1
776,241
795,737
+2 5
701
715
+ 20
4,086
4,254
+4 1
21.850
21,728
-6
43,501
46.315
+6 5
191,541
191,586
+ 0
511,736
527,143
+ 3 0
72.964
77,008
+ 5 5
5,420
5,014
7 5
Percent change .. .
Group V
1,147 cities, 10.000 to 24,999;
population 18,236,000:
1986
1987
Percent change
753,346
778,787
+ 3.4
758,021
783,180
+ 3.3
53.487
54,114
+ 1.2
699.859
724,673
+3.5
552
601
+8.9
3,157
3.383
+7.2
14.226
14.174
-.4
35.552
35.956
+ 1.1
165,622
164,778
-.5
477,410
500,559
+48
56,827
59,336
+4.4
4,675
4,393
-6.0
Group VI
3,224 cities under 10.000;
population 12,425,000:
1986
540.271
550,279
+ 1.9
543.779
553,481
+ 1.8
33.689
34,003
+.9
506,582
516,276
+ 1.9
357
322
-9,8
1.988
2.081
+4,7
6.672
6.601
-1.1
24,672
24.999
+ 1.3
108,823
106,819
-1,8
365,615
377,181
+ 3.2
32,144
32,276
+ .4
3.508
3.202
-8.7
1987
Percent change
Nonsuburban Cities
TOTAL NONSUBURBAN
CITIES: 3,579 cities;
population 23,221,000:
1986
1,134,442
1,151,282
+1,5
1,141,122
1,157,471
+1.4
85,898
85,080
-1.0
1,048,544
1,066.202
+ 1.7
1.163
1.066
-8.3
5,371
5,563
+3.6
14,479
14.567
+.6
64,885
63,884
-1,5
249,459
247,858
-.6
748,865
768,433
+2,6
50,220
49,911
-.6
6,680
1987
6,189
-7 4
Percent change
Group IV
175 cities, 25.000 to 49,999;
population 6,053.000:
1986
1987
Percent change
385.400
393,269
+2.0
387,636
395,405
+2.0
30,884
30,692
-.6
354,516
362,577
+2.3
375
341
-9.1
2.185
2.136
-2.2
7.231
7.302
+ 1.0
21,093
20,913
-.9
88.037
87,892
_ 2
247,779
255,781
+ 3.2
18.700
18.904
+ 1.1
2,236
2,136
-».5
Group V
468 cities, 10,000 to 24,999;
population 7,198,000:
1986
385.456
388.592
+ .8
387,611
390,562
+ .8
28,030
27,736
-1.0
357.426
360.856
+ 1.0
389
357
-8.2
1.797
1.883
+4.8
4.606
4,612
+ .1
21,238
20,884
-1.7
82.205
81.935
-.3
258,881
262,854
+ 1.5
16,340
16.067
-1.7
2 155
1987
Percent change
1.970
-8.6
Group VI
2,936 cities under 10,000;
population 9,971.000
1986
363.586
369.421
+ 1.6
365,875
371,504
+ 1.5
26,984
26,652
-1.2
336,602
342,769
+ 1.8
399
368
-7.8
1,389
1,544
+ 11.2
2,642
2.653
+.4
22,554
22,087
-2.1
79.217
78.031
-1.5
242,205
249,798
+3,1
15.180
14.940
-1,6
2 289
1987..
2,083
Percent change
-9,0
'Suburban places are within Metropolitan Slalislical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Central cities
are excluded. Nonsuburban places ^irc outside MSAs.
'The number of agencies used in arson trends is less than used in compiling (rends for other Crime Index oPFenses, The Modified Crime Index total is the sum of the Crime
Index offenses, including arson.
Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
Property crimes are offenstrs of burglary, larceny-theft, and motor vehicle theft, Data arc not included for the property crime of arson
Forcible rape figures furnished by the slate-level Uniform Crime Reptirtmg (UCR) F*rogram 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.
142
Table 12. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1986-1987
[1987 mimalcd population]
Population group
Cnmc
Index
lolal
Modified
Cnmc
Indo
total'
Violent
crime*
Property
crime'
Murder
and non.
negligent
man-
slaughter
Forcible
rape
Roblwry
Aggra-
vated
assault
Burglary
L.arceny-
Ihcfl
Motor
vehicle
theft
Arson'
Suburban Counties*
100,000 and over
107 counties; population
26.475.000:
1986
1987
1,214,177
1,254.206
+3.3
1.226.187
1,265.684
+ 3,2
120,482
120,509
+.0
1,093,695
1,133,697
+ 3.7
1,663
1,674
+ .7
8,266
8.298
+.4
34,760
33,655
-3.2
75,793
76,882
+ 1.4
343,500
343,033
-.1
649.702
678.040
+4.4
100.493
112.624
+ 12.1
12,010
11,478
Percent chan&c
^.4
25.000 to 99,999
330 counties; population
16.510.000:
1986
382.987
396,112
+3.4
386,685
399,489
+3.3
34,952
35,198
+.7
348,035
360,914
+3.7
709
724
+ 2.1
3,388
3,432
+ 1.3
4.299
4.291
-.2
26,556
26,751
+ .7
124,986
129,527
+ 3.6
200,165
208.707
+4.3
22.884
22.680
-.9
3,698
1987
3,377
-8.7
Under 25.000
881 counties: population
2.761.000:
1986
1987
Percent change
120,495
120,230
-.2
121,962
121,654
-.3
13.000
12.043
-7.4
107,495
108,187
+.6
241
218
-9.5
1,452
1,392
^,1
2,049
1,690
-17.5
9.258
8,743
-5.6
33,323
32,444
-2.6
61,172
62,234
+ 1.7
13.000
13,509
+3.9
1,467
1,424
+.0
Nonsuburban Counties*
25.000 and over
299 counties; population
11.780.000:
1986
219,740
227,339
+3.5
221,874
229,271
+3.3
21,002
21,721
+3.4
198.738
205,618
+3,5
539
511
-5.2
2,144
1,929
-10.0
1,963
1,942
-1.1
16,356
17,339
+6.0
75,667
76,989
+ 1.7
111,203
116,153
+4.5
11,868
12,476
+5.1
2,134
1987
1,932
Percent change
-9.5
10.000 to 24.999
749 counties; population
11.730.000:
1986
170.061
174.686
+2.7
171,804
176,333
+2.6
14,575
14,683
+ .8
155,486
159,998
+2.9
472
532
+ 12.7
1.290
1.297
+ .5
1,151
1,129
-1.9
11,662
11,730
+ .6
62,501
64,603
+3.4
83.862
86.197
+2.8
9,123
9,198
+ 8
1.743
1987
1.647
Percent change
-5.5
Under 10,000
1.787 counties; population
5.180,000:
1986
124.891
122,437
-2.0
126,476
123,843
-2.1
11,432
10,888
^.8
113,459
111,549
-1.7
382
398
+4.2
1,487
1,689
+ 13.6
984
792
-19.5
8,579
8,009
-6.6
42,904
42,488
-1.0
62.402
61.406
-1.6
8,153
7,655
-6,1
1.585
1987
Percent change
1,406
-11.3
'The number of agencies used in arson trends are less than used in compiling trends for other Crime Index offenses. The Modified Crime Index total is the sum of the Crime
Index offenses, including arson.
■Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
*Cnme ofTenses include sheriffs' and county law enforcement agencies. State police offenses are not included.
Forcible rape figures furnished by the stale-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with
national UCR guidehnes and were excluded from the forcible rape, violent cnme. Crime Index total, and Modified Crime Index total categones.
143
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145
Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1987
(1987 estimated population. Rate: Number of crimes per 100.000 inhabitants]
Population group
TOTAL ALL AGENaES:
11,435 agencies;
population 212,715.000:
Number of offenses known
Rate
TOTAL CITIES: 7,721 cities;
population 144,907,000:
Number of offenses known
Rate
Group I
62 cities. 250,000 and over;
population 44,593,000:
Number of ofienses known
Rate
8 cities, 1,000,000 and over;
population 20,176,000:
Number of offenses known
Rate
16 cities, 500,000 to 999.999;
population 10,649,000:
Number of offenses known
Rate
38 cities, 250,000 to 499,999;
population 13,868,000:
Number of offenses known .
Rate
Group II
126 cities, 100,000 to 249.999;
population 18,400,000:
Number of offenses known .
Rate
Group HI
282 cities. 50,000 to 99,999;
population 19,191,000:
Number of offenses known
Rate
Cnme
Index
Iota)
12,506.291
6,204.5
10,279.142
7,560.3
4,271,920
10,250.5
1,868,499
10,890 1
981,575
9,217.3
1,421,846
10,252.6
1,522,374
8,433.0
1.277.000
7,046.2
Modified
Cnme
Index
total'
Violent
cnme^
1.390,589
689,9
1.180,230
868.1
668.404
1,603.8
370,165
2,157.4
127,647
1,198.6
170,592
1,230.1
156,617
867.6
121,141
668.4
Properly
cnme^
U. 115,702
5,225.6
9.098,912
6,279.2
3.603.516
8.062.7
1,498,334
7,426.3
853,928
8,018.6
1,251,254
9,022.5
1,365,757
7,422.6
1,155,859
6,022.8
Murder
and non-
negligenl
man-
slaughter
18.809
8.8
14.829
10.2
9,109
20.4
4,936
24.5
2,078
19.5
2,095
15.1
1,921
104
1,226
6.4
Forcible
rape
80.161
39.8
62.715
46.1
30,739
73.8
11.037
64.3
8,466
79.5
11,236
81,0
9,736
53.9
7,753
42.8
Robbery
498.632
234.4
456.491
315.0
307.738
688.6
181.527
899.7
56.91
534.5
69.293
499.7
56.051
304.6
38,197
199.0
Aggra-
vated
assault
792,987
372,8
646.195
445.9
320.818
717.8
172.665
855.8
60.185
565.2
87.968
634.3
88.909
483.2
73,965
385.4
Burglary
2,995.249
1,408.1
2.321.392
1,602.0
967.194
2,164.1
385,448
1,9104
231,737
2,176.1
350,009
2,523.8
379,365
2,061.8
294,272
1,533.4
Larceny-
theft
6.919.961
3,253.2
5.750,131
3,968.2
Molor
vehicle
Ihefl
1.200.492
564.4
1.027.389
709.0
2.058,900
4,606.7
808,590
4,007.7
495,771
4,655.4
754,539
5,440,8
858.089
4.663.5
744.587
3.879.8
577,422
1,292.0
304,296
1,508.2
126,420
1,187.1
146,706
1,057.9
128,303
697.3
117,000
609.6
146
Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1987 — Continued
Population group
Cnme
Index
total
Modined
Cnmc
Index
total'
Violent
cnmc"
Property
cnme'
Murder
and non-
negiigent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group IV
590 citie,, 25,000 lo 49,999-
population 20,259,000:
1,207,060
6.492.0
98,283
528.6
1,108,777
5,473.0
1,026
5.1
6,051
32.5
27,837
137.4
63,369
312.8
268,415
1,324.9
751,618
3,710.0
88.743
438.0
Rale
Group V
1.458 cilies. 10.000 lo 24.999;
population 22.989.000:
Number of offenses known
1.124,293
5,297.8
78.749
371.1
1,045,544
4,548.1
900
3.9
5,000
23.6
18,015
78.4
54,834
238.5
236,554
1,029.4
737,188
3,205.7
71.702
3119
Rate
Group VI
5.203 cities under 10,000;
population 19,374,000:
Number of offenses known
876,495
4,790.5
57,036
311.7
819,459
4,229.7
647
3.3
3.436
18.8
8,553
44.7
44,300
228.7
175,491
905.8
599,749
3.095.6
44.219
228.2
Suburban Cou^JTlES
1.216 agencies; population
42,503.000:
Number of ofTenses known
Rale
1,702,235
4,129.0
163,081
395.6
1,539,154
3,621.3
2.550
6.0
12.674
30.7
38,193
89.9
109,664
258.0
489,598
1,151.9
906.435
2,132.5
143,120
3367
Rural Counties'
2.498 agencies; population
25.305.000:
Number of offenses known
524,914
2,153.0
47,278
193.9
477,636
1,887.5
1.430
5.7
4.772
19.6
3,948
15.6
37,128
146.7
184.259
728.1
263,394
1,040.9
29,983
118.5
Suburban Area'
5.394 agencies; population
84.103.000:
Number of offenses known
Rate
3.796,879
4,780.8
315,913
397.8
3,480,966
4,138.9
4,108
4.9
21,818
27.5
78,872
93.8
211,115
251.0
931.835
1,108.0
2,248,644
2,673.7
300,487
357.3
'Arson rales are nol presented in this table because fewer agencies furnished complete reports for arson than for other seven Crime Index offenses. Independently tabulated
arson rates appear on page 37 of this pubhcation.
"Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Includes slate 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 lo the nearest thousand. All rates were calculated on the population before rounding
Forcible rape figures furnished by the state-level Uniform Cnme 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, and Cnme Index total categories. The rates for these categories were calculated excluding the
population for the State of Illinois.
147
Table 15. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1987
[1987 estimated population. Rate: Number of cnmes per 100.000 inhabitants)
Population group
Cnme
Index
tola!
Modified
Crime
Index
lolal-
Violenl
crime'
Property
cnme*
Murder
and non-
negiigent
man-
slaughter
Forcible
rape
Robtjery
Aggra-
vated
assault
Burglary
Larceny-
itieft
Motor
vehicle
I heft
Suburban Cities
TOTAL SUBURBAN CITIES:
4,178 cities; population
41,600,000:
Number of offenses known .
Rate
Group IV
429 cities. 25.000 to 49.999;
population 14.721.000;
Number of offenses known
Rate
Group V
1,020 cities. 10.000 to 24,999;
population 16.252.000;
Number of offenses known
Rate
Group VI
2,729 cities under 10.000;
population 10.627.0(X):
Number of offenses known
Rate
Nonsuburban Cities
TOTAL NONSUBURBAN
CITIES: 3,073 cities;
population 21,022,000:
Number of offenses known .
Rate
Group IV
161 cities. 25.000 to 49,999;
population 5.538.000;
Number of offenses known
Rate
Group V
438 cities. 10.000 to 24.999;
population 6.736.000;
Number of offenses known
Rate
Group VI
2.474 cities under 10.000;
population 8.747.000;
Number of offenses known
Rate
2,094,644
5,484.5
828.133
6,154.5
746,892
5,044.8
519,619
5,232.1
1.113,204
5,588.7
378.927
7.376.1
377.401
5.8817
356.876
4.2662
152,832
400.2
1,941,812
4,667.8
1,558
3.7
9,144
23.9
40,679
97.8
101,451
243.9
442,237
1,063.1
1,342,208
3,226.5
157,367
378.3
68.932
512.3
52.233
352.8
31,667
318.9
759.201
5.157.2
694.659
4.274.2
487,952
4.591.8
692
4.7
568
3.5
298
2
3.998
29.7
3,201
21.6
1,945
19.6
20,869
141.8
13,703
84.3
6,107
57.5
43.373
294.6
34.761
213,9
23.317
219.4
184.035
1.250.1
157,704
970.3
100,498
945.7
503.826
3.422.5
480,776
2,958.2
357,606
3.365.2
81,236
407.8
1.031,968
4,909.1
1,015
4.8
5,343
26.8
13.826
65.8
61,052
290.4
238,324
1,133.7
746,347
3,550.4
29.351
571.3
26.516
413.2
25.369
303.3
349.576
6.312.4
350.885
5.208.9
331.507
3.789
334
6.0
332
4.9
349
4.0
2.053
4.0
1.799
28.0
1.491
17.8
6,968
125.8
4.312
64.0
2,546
29 1
19,996
361.1
20,073
298.0
20,983
239,9
84,381
1.523.7
78.950
1.172.0
74.993
857.3
247.792
4.474.4
256.412
3.806.4
242.143
2.768.2
71.340
484.6
56,179
345.7
29,848
2809
47,297
225.0
17.403
314.3
15.523
230.4
14.371
164.3
'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 m 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 37 of this publication
'Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft Data are not included for the property 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, and Crime Index total categories. The rates for these categones were calculated excluding the
population for the State of Illinois.
Population figures were rounded to the nearest thousand. All rales were calculated on the population before rounding.
148
Table 16. Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1987
(1987 estimated population. Rate: Number of cnmcs per 100,000 inhabitants)
Population group
Cnmc
Index
lota)
M.xlified
Cnmc
Index
total'
Violcnl
cnmc'
Properly
cnmc'
Murder
and non-
negligcnl
man-
slauglitcr
Forcible
rape
Robtjcry
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
ihefl
Arson'
Suburban Counties'
100,000 and over
102 counties; population
24,674,000;
1.208.210
4,')96,5
118,452
489.9
1,089.758
4,416.7
1,636
6.6
8,090
34.5
32,732
132.7
75,994
308.0
333,198
1,3504
648,019
2,626,3
108,541
439.9
Rate
25,000 to 99.999
306 counties; population
15.328,000:
Number of offenses known
Rate
378.441
2.579.0
33,757
230.0
344,684
2,248.7
704
4.6
3.312
22.6
4,122
26,9
25,619
167.1
124,759
813.9
198,216
1,293.1
21,709
141.6
Under 25,000
808 counties; population
2,501,000:
115,584
4,874.1
10,872
458.5
104,712
4,186.6
210
8.4
1.272
53.6
1,339
53.5
8,051
321.9
31,641
1,265.1
60,201
2,406.9
12,870
514.6
Rate
Noniuburbtn Counties*
25,000 and over
270 counties; population
10,573,000:
220,114
2,105.8
20,853
199.5
199,261
1,884.7
483
4.6
1.876
17.9
1,915
18.1
16,579
156.8
74,814
707.6
112,413
1,063.2
12,034
113.8
10,000 to 24,999
638 counties; population
9,968,000:
166,195
1,780.0
13,789
147.7
152,406
1,528.9
495
5.0
1,242
13.3
1,059
10.6
10,993
110.3
61,350
615.5
82,361
826.2
8,695
87,2
Rale
Under 10,000
1,493 counties; population
4.398,000:
Number of offenses known
Rate
115,098
2,724.4
10,061
238.1
105,037
2,388.3
387
8.8
1.409
33,4
769
17.5
7,496
170.4
39,931
907.9
57,900
1,316.5
7,206
163.8
'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 37 of this publication.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Offenses include shenfTs' and county law enforcement agencies. State police offenses are not mcluded.
Forcible rape figures furnished by the state-level Uniform Cnme 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, and Cnme Index total categories. The rates for these categones were calculated excluding the
population for the State of Illinois.
Population figures were rounded to the nearest thousand. All rales were calculated on ihc population before rounding.
149
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151
Table 18. — Offense Analysis, 1987, and Percent Change from 1986
[13,149 agencies; 1987 estimated population 225,052,CXXD]
Classification
MURDER
FORCIBLE RAPE
ROBBERY:
Total
Street/highway
Commercial house
Gas or service station
Convenience store ••
Residence
Bank
Miscellaneous
BURGLARY:
Total
Residence (dwelling):
Night
Day
Unknown
Nonresidence (store, office, etc.):
Night
Day
Unknown
LARCENYTHEFT (EXCEPT MOTOR VEHICLE THEFT):
Total
By type:
Pocket-picking
Purse-snatching ■
Shoplifting
From motor vehicles (except accessories)
Motor vehicle accessories
Bicycles
From buildings
From coin-operated machines
All others
By value;
Over $200
$50 to $200
Under $50
MOTOR VEHICLE THEFT
'Because of rounding, percentages may not add to totals.
Table 19. — Type and Value of Property Stolen and Recovered, 1987
[13,149 agencies; 1987 estimated population 225,052,000]
Numtjer of
offenses
1987
17.886
83,885
479,348
260.957
60,725
14,535
27,013
49,942
6,779
59,397
2,945,073
1,993,689
623,658
837,645
532,386
951.384
470.533
189,034
291,817
6,851,548
74,144
82,319
1,046,207
1,444,300
1,155,452
439,848
1,001,520
60,843
1.546.915
2,340,296
1,784,405
2,726.847
1,176,273
Percent
change over
1986
-2.8
+.5
-4.5
-6.5
-1.9
-5.0
-H.5
-5.5
+6.5
-.4
-.5
-I
-2.5
+.i
■I-2.1
-1.3
-3.6
■I-2.7
+3.4
^,1
-5.2
+6.-!
■I-5.2
+4.i
-6.8
-.5
+2.9
■I-5.3
■f2.9
-.1
■f6.3
+i.\
Percent
dislnbu-
Iion'
100.0
54.4
12,7
3,0
5,6
10,4
1,4
12,4
100.0
100.0
Average
value
$ 107
30
631
492
1,017
321
292
796
3,013
668
975
67.7
1,004
21.2
808
28.4
1.085
18.1
1,107
32.3
914
16.0
838
6.4
848
9.9
1,079
404
1,1
286
1,2
238
15.3
96
21.1
434
16.9
288
6.4
172
14.6
665
0.9
128
22.6
591
34,2
1,074
26.0
115
39.8
18
4,964
Type of properly
ToUl'
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
'All totals and percentages calculated before rounding.
Value of property
$11,784,214,000
719,659,000
1,143,415.000
268,144,000
5,907,293,000
177,884.000
1,056,844.000
115,139,000
209,044,000
79,492,000
19,553,000
2,087,748,000
S 4,313,538,000
41,962,000
61,146,000
39,448,000
3,854.165,000
15,758,000
52,850,000
11,867,000
14,137,000
11,975,000
3,105,000
207,129,000
Percent
recovered
36.6
5.8
5.3
14.7
65.2
8.9
5.0
10.3
6.8
15.1
15.9
9.9
152
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. Several crimes may be cleared
by the arrest of one person, while the arrest of many persons
may clear only one offense. Law enforcement agencies may
clear a crime by exceptional means when some element
beyond law enforcement control precludes the placing of
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 cleared 21 percent of the
Crime Index offenses brought to their attention during
1987. Forty-seven percent of the violent crimes collectively
were cleared. Reporting agencies recorded a 70-percent
clearance rate for murder, 53 percent for forcible rape, 27
percent for robbery, and 59 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 1 8 percent.
For burglary, the rate was 14 percent; for larceny-theft, 20
percent; for motor vehicle theft, 15 percent; and for arson,
16 percent. When considering the Modified Crime Index
total which includes arson, the overall clearance rate
remained the same, 21 percent.
Regionally, the highest total Crime Index clearance rate
was registered in the West with 22 percent. Following were
the South with 21 percent, the Northeast with 20 percent,
and the Midwest with 19 percent. In both the West and the
South, the violent crime clearance rate was 50 percent, while
in the Northeast and the Midwest, it was 43 percent.
By community type, rural county law enforcement
agencies showed clearances for 22 percent of the Crime
Index offenses brought to their attention. Those in cities
cleared 21 percent, and those in suburban counties, 20
percent.
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. Juveniles (persons under 18 years
of age) accounted for an estimated 26 percent of the 1987
United States population.
Eighteen percent of the Crime Index offenses cleared by
law enforcement during 1987 involved only young people
under age 18. Persons in this age group accounted for 8
percent of the violent crime clearances and 21 percent of
those for property crimes. Murder showed the lowest
percentage of juvenile involvement (5 percent), while the
highest percentage was shown for arson (36 percent).
Geographically, the Midwestern States recorded the
largest percentage of Crime Index offense involvement by
the under 18 age group- 23 percent. Juveniles were the
offenders in 20 percent of the clearances in the Western
States, 17 percent of those in the Northeastern States, and
15 percent of those in the Southern States.
153
Crimes Cleared by Arrest
1987
Murder
Aggravated
Assault
Forcible Rape Robbery
Crimes of
Violence
Not Cleared
Cleared
Crimes Against
Property
Not Cleared
Cleared
Burglary
Larceny-Theft
Motor Vehicle Theft
154
Table 20. — Offenses Known and Percent Cleared by Arrest', Population Group, 1987
(1987 estimated population]
Population group
TOTAL ALL AGENOES:
13,435 agencies; total
population 225.063.000:
OfTenMS known
Percent cleared by arrest .
TOTAL CITIES: 9,173 cities;
total population 152,029,000:
OfTenses known
Percent cleared by arrest .
Group I
60 cities. 250.000 and over;
total population 41,410.000:
Offenses known
Percent cleared by arrest
7 cities. 1.000,000 and over;
total population 17.158,000;
Offenses known
Percent cleared by arrest..
15 cities, 500,000 to 999,999;
total population 10,219,000;
Offenses known
Percent cleared by arrest
38 cities, 250,000 to 499,999;
total population 14.033,000:
Offenses known
Percent cleared by arrest
Group II
127 cities, 100,000 to 249,999;
total population 18,574,000:
Offenses known .
Percent cleared by arrest
Group III
315 cities, 50,000 to 99,999;
total population 21,455,000:
Offenses known
Percent cleared by arrest
Cnmc
Index
lolal
12,502,268
20.9
10,217,067
21.0
3.953.574
189
1.594.107
18.4
892.090
18.2
1.467,377
19.9
1.533.527
21.2
Modified
Cnmc
Index
lolal"
12,599,652
20.9
10,292,550
21.0
3,988,412
18.8
1,610.728
18.3
899,635
18.1
1,478,049
19.8
1.545,983
21.1
1,363,428 1,372,110
21.51 21.5
Violent
crime*
1,354,012
47,4
1,137,027
46,0
598,755
42.2
305,491
40.6
112,068
41.1
181,196
45.6
157,219
49.1
132,423
47.2
Properly
crime*
11,148,256
17.7
9,080,040
17.9
3.354.819
14.7
1.288,616
13.1
780,022
14.9
1.286.181
16.2
1,376.308
18.0
1,231,005
18.8
Murder
and non-
negligenl
man-
slaughter
18,430
70,0
14,326
69.9
8.369
67.4
4.249
67.4
1,830
64.2
2.290
70.2
1.926
74.7
1.292
71.5
Forcible
rape
81,980
52.9
63,901
52.3
30,324
52.4
11,037
53.1
7,633
54.3
11,654
50.5
9,790
52.9
8,428
50.1
Robbery
474,713
26,5
431,305
26.3
276.220
25.2
151,712
24.4
50,861
24.6
73,647
27.2
56,414
28.4
41,350
26.8
Aggra-
vated
assault
778,889
59.0
627,495
58.5
283,842
56.9
138.493
566
51.744
54.5
93,605
58.8
89,089
61.2
81,353
56.9
Burglary
3,000,346
13.8
2,314,847
13,3
905,608
11.6
334,517
11.2
212,338
12.3
358,753
116
381,082
13.6
313,773
13.4
Larceny-
ihefl
6,956,276
19,8
5,751,288
20.3
1,915.539
17.1
689,518
15.1
451,501
166
774.520
19.1
866.335
20.4
786.239
21.8
Motor
vehicle
ihcfl
1,191,634
15.3
1,013,905
14.2
533.672
11.5
264,581
10.3
116,183
12.8
152,908
12.4
128,891
14.8
130,993
13.4
97,384
15,8
75.483
15.0
34,838
II.3
16,621
5.9
7.545
17.4
10.672
15.2
12.456
15.0
8,682
14.9
155
Table 20. — Offenses Known and Percent Cleared by Arrest', Population Group, 1987 — Continued
Population group
Crime
Index
total
Modified
Cnme
Index
lolal-
Violenl
crime'
Property
cnme^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'*
Group IV
657 cities. 25.000 to 49.999;
total populahon 22,517,000:
Offenses known
1,265.115
1,272,389
104,385
1,160.730
1.068
6,389
29,038
67,890
279.882
783,927
96.921
7.274
Percent cleared by arrest
22.5
22.5
48.2
20.2
71.1
51.5
27.5
56.4
14.5
22.7
16.9
18.4
Group V
1,604 cities, 10.000 to 24.999;
total population 25.249,000;
Offenses known
1,169,920
1,175,505
82,577
1,087,343
959
5.279
18.896
57.443
246.754
765,052
75,537
6,585
Percent cleared by arrest
23.9
23.9
52.5
21.8
74.6
51.4
30.2
59.6
15.0
24.0
21.5
21.5
Group VI
6,410 cities under 10.000; total
population 22.826,000;
Offenses known
931,503
937,151
61,668
869,835
712
3,691
9,387
47,878
187,748
634,196
47,891
5,648
Percent cleared by arrest
23.1
23.1
60.9
20.4
75.7
58.1
31,7
66.6
16.5
20.9
29.2
26.0
Suburban Counties
1,308 agencies; total
population 44,291,000;
Offenses known
1,736,203
1,752,369
166,608
1,569,595
2,569
12,834
39,226
111,979
492,672
930,869
146,054
16,166
Percent cleared by arrest
20.3
20.3
52.2
16.9
67.7
54.0
28.0
60.2
15.1
17.5
19.2
18.2
Rural Counties
2,954 agencies; total
population 28,744,000:
Offenses known
548,998
554,733
50,377
498,621
1,535
5,245
4,182
39,415
192,827
274,119
31,675
5,735
Percent cleared by arrest
21.6
21.6
61.8
17.6
74.8
57.4
37,4
64.5
15.8
17.1
32.3
19.6
Suburban Area'
6,264 agencies; total
population 91,628,000:
Offenses known
3,943,311
3,972,494
329,416
3,613.895
4,232
22,591
82,008
220,585
958,148
2,339,657
316,090
29,183
Percent cleared by arrest
21.2
21.2
51.3
18.4
63.1
52.9
27.6
59.6
14.8
19.9
18.4
13.6
'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. However, the number of agencies
used in the arson column for this table is greater than the number used in the clearance tables on page 38, since it is not necessary to report clearances 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 cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Forcible rape figures furnished by the State-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with
national UCR guidelines and were excluded from the forcible rape, violenl crime, Crime Index total, and Modified Crime Index total categories.
156
Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Division, 1987
[1987 cslimalcd population]
Geographic division
Cnmc
Iniic\
lolal
Mixiinni
Cnmc
Indcs
total"
Violent
L-nme
Property
crime*
Murder
and non-
ncgligcnl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Ihcfl
Motor
vehicle
Iheft
Arson^
TOTAL ALL DIVISIONS
13,435 agencies: populition
225,063,000:
Offenses known
12,S02,26«
20.9
12,599,652
20.9
1,354,012
47.4
11,148,256
17.7
18,430
70.0
81,980
52.9
474,713
26.5
778,889
59.0
3,000,346
13.8
6,956,276
19.8
1,191,634
15.3
97,384
15.8
Percent cleared by arrest
New England States
677 agencies; population
11.383.000:
Offenses known
Percent cleared by arrest
515.142
19.2
519.326
19.1
48.240
46.0
466.902
16.4
418
74.9
3.082
55,1
16.516
23,3
28,224
57,8
120,759
13,4
273,753
19.5
72,390
9.5
4,184
15.1
Middle Atlantic States
2,373 agencies; population
37,060,000:
Offenses known
Percent cleared by arrest
1.809.479
199
1.825.800
19.9
262,083
42.8
1,547.396
16.1
2.988
68,2
11.000
567
123,985
26.0
124,110
57.6
373,476
13,6
944,628
18,5
229,292
9.8
16,321
12.3
Northeastern Region
3,050 agencies; population
48.443.000:
Offenses known
2,324.621
19.8
2.345.126
19,7
310.323
43.3
2,014,298
16,1
3,406
69.1
14,082
56.3
140.501
25.7
152,334
57.7
494,235
13.6
1,218.381
18.8
301,682
9.7
20.505
12,9
Percent cleared by arrest
East North Central States
2,143 agencies; population
34.309.000:
Offenses known
1,637,166
18.2
1.651.942
18,1
155.910
39,7
1.481.256
15,9
2,302
66,8
11.890
42,2
53.465
20.4
88,253
50.4
371,014
10,5
960.102
18,3
150.140
14,1
14,776
11.4
Percent cleared by arrest
West North Central States
1.334 agencies; population
15.902.000:
Offenses known
Percent cleared by arrest
725,445
21.9
730,325
21.9
56.069
51.3
669.376
19,5
709
75,0
4,204
51.0
15,721
26.5
35.435
61.9
162,174
13,2
460,873
21,7
46,329
19.3
4,880
18.5
Midwestern Region
3.477 agencies; population
50.211.000:
Offenses known
2.362.611
19.3
2.382,267
19.3
211.979
42,8
2,150.632
17,0
3.011
68,7
16.094
44.5
69.186
21,7
123,688
53,7
533.188
11.3
1,420,975
19,4
196,469
15.3
19,656
13.2
Percent cleared by arrest
South Atlantic States
2,634 agencies; population
40,284.000;
Offenses known
2,346,463
23.2
2,360.406
23-1
265.968
51,4
2,080,495
19,6
3,939
71.1
15,492
58.8
86.605
28,1
159,932
62.8
599.631
17.2
1.304,618
20,3
176,246
22.1
13,943
21.7
Percent cleared by arrest
East South Central States
968 agencies; population
12,075,000:
Offenses known
Percent cleared by arrest
523,742
17,9
527.790
17,9
59.801
41,2
463,941
14,9
1.101
74,5
4.176
45,9
17.454
24.1
37,070
47,7
144.832
111
275,881
16.9
43,228
14,9
4,048
20.2
West South Central States
1,368 agencies; population
25.827.000;
Offenses known
Percent cleared by arrest
1,816.940
20.2
1.828.859
202
155.641
51,4
1.661.299
17.3
2.821
72,6
11.395
58.4
50.902
30.3
90,523
61,7
493,905
14,1
1,002,316
19.0
165.078
16.2
11,919
17.8
Southern Region
4,970 agencies; population
78,186.000;
Offenses known
Percent cleared by arrest
4.687.145
21.4
4.717,055
21.4
481.410
50.1
4,205,735
18.1
7,861
72.1
31.063
56,9
154.961
28.3
287,525
60.5
1,238.368
15.3
2,582,815
19.4
384,552
18,8
29,910
20.0
157
Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Division, 1987 — Continued
Geographic division
Cnme
Index
tola!
Modified
Crime
Index
iota!'
Violenl
cnme'
Property
cnme^
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
iheft
Motor
vehicle
Ihefl
Arson*
Mountain States
750 agencies; population
12,483,000:
771.961
24.1
2.355,930
21.6
3,127,891
22.3
776.946
24.1
2.378,258
21 6
3,155.204
22.2
58.160
55.3
292.140
49 1
350,300
50.1
713.801
21.6
2.063,790
17.8
2,777,591
18.7
753
76.8
3,399
65.8
4.152
67.8
4.636
51.5
16,105
51.0
20,741
51.1
14.014
29.2
96,051
27.8
110,065
27.9
38,757
64.8
176,585
60.2
215,342
61.1
175.204
13.0
559,351
13.2
734,555
13.1
493,465
24.6
1,240,640
20.3
1.734,105
21.5
45,132
22.5
263.799
15.5
308.931
16.5
4.985
Percent cleared by arrest
Pacific States
1,188 agencies; population
35.740,000:
Offenses known
Percent cleared by arrest
Western Region
1.938 agencies; population
48,223,000:
21.0
22,328
14.1
27.313
Percent cleared by arrest
15.4
'Includes offenses cleared by exceptional means.
^The number of agency reports used m arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. However, the number of agencies
used in the arson column for this table is greater than the number used in the clearance table on page 38, smce it is not necessary to report clearances by property classification to
be included m this table. The Modified Crime Index total is the sum of the Cnme Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
*Properiy crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the properly cnme 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 guidelmes and were excluded from the forcible rape, violent cnme. Crime Index total, and Modified Crime Index total categones.
158
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160
Table 23. — Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1987
[WS? eslimaied population]
Populalion group
Cnmc
Index
IDtal
Cnmc
Index
lotal-
Violenl
cnme*
Properly
cnmc'
Murder
and non-
ncgligenl
man-
slaughter
Forcible
rape
Robt>ery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
TOT.AL ALL AGENCIES:
13,297 agencies: population
222.341.000:
Total clearances
Peixent under 18
TOTAL CrriES: 9.158 cities;
papulation 151.095.000:
Total cleat^uices
Percent under 18
Group I
59 cities. 250,000 and over:
populatton 40.923,000:
Total cleai^nces
Percent under 18
7 cities, 1,000,000 and over;
population 17,158,000:
Total clearances
Percent under 18
15 cities, 500,000 to 999,999:
population 10,219,000:
Total clearances
Percent under 18
37 cities, 250,000 to 499,999;
population 13,545,000:
Total clearances
Percent under 18
Group II
126 cities, 100,000 to 249,999;
population 18,399,000:
Total clearances
Percent under 18
Group III
313 cities, 50,000 to 99,999;
population 21,337.000:
Total clearances
Percent under 18
Group IV
656 cities. 25,000 to 49,999;
population 22.484,000:
Total clearances
Percent under 18
2.595.588
18.1
2,134,878
18.3
741.233
13.2
293,429
8.7
161.958
15.7
285.846
16.3
322,640
17.5
292,293
206
285,085
22.2
2.610,857
18.3
2,14«,171
18.4
636,458
8.5
520,907
8.4
1,959.130
21.3
1,613,971
21.5
12,751
5.2
9,928
4.8
42,930
9.4
33,237
9.2
125,084
9.6
112,697
9.6
455,693
8.2
365,045
8.1
409,128
19.1
306,390
18.6
1,369,247
22.2
1,164,055
22.5
180,755
19.8
143,526
19.8
745,155
13.3
294,417
163,269
15,9
287,469
16.4
324,499
17.6
293,586
20.6
286,421
22.3
250,733
6.6
124,069
4.9
46,043
8.4
80,621
8.3
76,667
8.6
62,358
104
50,318
11.1
490,500
16.5
169,360
11.5
115,915
18,5
205,225
19.4
245,973
20.2
229,935
23,3
234,767
24,6
5,573
4,5
2,862
3,7
1,174
5,3
1,537
5.5
1,423
4.4
923
5.1
757
4.2
15,758
7.4
5,857
5.8
4,145
7.7
5,756
8,7
5,128
8,S
4,211
12.1
3,287
11.3
69,087
7.7
36,982
5.1
12,514
9.7
19.591
9.5
15,904
10.7
11,072
14.0
7,973
14.3
160,315
6.2
78.368
4.3
28,210
8.0
53,737
8.0
54,212
8.2
46,152
9,5
38,301
10.5
104,669
13.5
37,589
9,3
25,059
15.0
41,021
16.5
51,585
15.2
41,733
19.9
40,485
22.7
324,995
17.1
104,418
11.9
74,955
18.7
145,622
20.0
175,490
21.6
170,822
24,4
177,950
25.3
60.836
18.4
27,353
13.3
14,901
24.0
18,582
21.5
18,898
21.4
17,380
21.1
15,332
21,2
15,269
36.0
1U93
37.7
3,922
31.9
988
25.9
1,311
40,6
1,623
28.5
1,859
38.6
1,293
36.7
1,336
41,7
161
Table 23. — Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1987 — Continued
Population group
Crime
Index
total
Modiried
Cnme
Index
lolal^
Violent
ctnme'
Propeny
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbci7
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Group V
1.597 cities, 10.000 to 24,999;
population 25,137,000:
Total clearances
Percent under 18
Group VI
6,407 Cities under 10,000;
population 22.816,000:
Total clearances
Percent under 18
Suburban Counties
1,265 agencies;
populalion 43,192.000:
Total clearances
Percent under 18
Rural Counties
2,874 agencies;
population 28,054,000:
Total clearances
Percent under 18
Suburban Areas
6,213 agencies; population
90,412,000:
Total clearances
Percent under 18
278,849
22.9
214,778
23.2
346,138
17.5
114,572
17.0
828.083
20.3
280,265
23.0
216,245
23.4
349,007
17.6
115,679
17.1
833,420
20.4
43,289
108
37,542
106
85,594
8.9
29,957
7.8
167,436
103
235,560
25.2
177,236
25.9
260,544
203
84,615
20.3
660,647
22.9
713
6,5
539
5.0
1,704
6.3
1,119
7.1
2,845
6.2
2,708
11.8
2,145
11.7
6,773
9.3
2,920
13.0
11,794
10.6
5,681
12.8
2,980
12.2
10,855
101
1,532
6.7
22,438
12.3
34,187
104
31,878
10.5
66,262
8.7
24,386
7.2
130,359
101
36,942
24.2
30,976
27.1
73,110
19.6
29,628
22.9
140,067
21.6
182,515
25.8
132,283
26.3
160,078
20.7
45,114
18.5
463,160
23.6
16.103
19.9
13,977
20.1
27,356
19.7
9.873
20.6
57,420
200
1.416
45.9
1,467
41.6
2,869
33.6
1,107
24.7
5,337
39.6
'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 Cnme Index offenses. However, the number of agencies
used in the arson column for this table is greater than the number used m the clearance tables on page 38, since it is not necessary to report clearances by detailed property
classification to be included in this table. The Modified Crime Index total Is the sum of the Cnme Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Propeny crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities are also included in other city groups.
Forcible rape figures furnished by the Stale-level Uniform Cnme 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 cnme, Cnme Index total, and Modified Crime Index total categories.
162
SECTION IV
PERSONS ARRESTED
In addition to being a gauge of law enforcement's
response to crime, arrest counts provide definitive data
concerning the age, sex, and race of perpetrators. Arrest
practices, policies, and enforcement emphases vary from
place to place and even within a community from time to
time as, for example, during a local police campaign against
residential burglary. While the practices for certain unlawful
conduct such as drunkenness, disorderly conduct, vagrancy,
and related violations may differ among agencies, those for
robbery, burglary, and other serious crime arrests are more
likely to be uniform and consistent throughout all
jurisdictions. This Program's procedures require that an
arrest be counted on each separate occasion a person is
taken into custody, notified, or cited. Annual arrest figures
do not measure the number of individuals arrested since one
person may be arrested several times during the year for the
same or different offenses.
Nationwide, law enforcement agencies made an estimated
12.7 million arrests in 1987 for all criminal infractions
except traffic violations. When the arrest volume was
related to the total United States population, the arrest rate
was 5,330 per 100,000 inhabitants. In cities with populations
of 250,000 or more, the rate was 7,808, the highest recorded.
For suburban county agencies overall, the arrest rate was
3,949, and for rural county law enforcement, it was 3,423
per 100,000 inhabitants.
Regionally, the arrest rates per 100,000 population
ranged from 4,523 in the Midwest to 6,091 in the West. The
South recorded an arrest rate of 5,268 and the Northeast,
5,518.
Arrest Trends
The total number of arrests for all offenses except traffic
violations increased 2 percent in 1987 as compared to the
1986 volume. During the same time period, adult arrests
rose 3 percent, while those of persons under 18 years of age
declined 1 percent. When considering only the eight Crime
Index offenses, arrests of persons of all ages increased 2
percent, adult arrests rose 3 percent, and juvenile arrests
showed virtually no change. Arrests for the Index's violent
crimes increased 1 percent and those for property crimes
rose 2 percent.
Similar to the national experience, 2-year trends for city
agencies showed a 2-percent increase in total arrests, 1987
over 1986. Suburban county arrests were up 4 percent and
rural county arrests, 3 percent.
Over the 5-year period beginning in 1983, total arrests
were up 9 percent. Adult arrests and those of persons under
18 years of age rose 10 and 7 percent, respectively. Total
Crime Index arrests increased 10 percent, those of adults
jumped 13 percent, and arrests of juveniles under 18 years
of age rose 4 percent. During the same years, 1983-1987,
total violent crime arrests increased 12 percent and property
crime arrests were up 9 percent.
Increases of 25 percent were shown for both total arrests
and arrests for violent crimes in the 10-year period, 1978-
1987. Arrests for the Crime Index offenses and the property
crimes rose 18 and 16 percent, respectively.
The 1987 drug abuse violation arrest total was 13 percent
above the 1986 figures and 38 percent higher than in 1983.
The types of drugs involved in violations resulting in arrests
during 1987 are shown by geographic region in the
accompanying table.
Arrests for Drug Abuse Violations, 1987
[Percent distribution]
Total'
Sale/Manufacture:
Heroin or Cocaine and their denvatives
Manjuana
Synthetic or manufactured drugs
Other dangerous nonnarcotic drugs
Possession:
Heroin or Cocaine and their denvatives
Manjuana
Synthetic or manufactured drugs
Other dangerous nonnarcotic drugs
United
States
total
100,0
258
14 I
70
9
3.8
74.2
31.5
33.4
1.8
7.5
North-
ea,stem
States
100.0
34.5
24.5
7.4
7
1.8
65.5
32.3
28.7
1.5
3.0
Mid-
western
States
100.0
27.7
6.2
7.8
.9
12.8
72.3
11.8
49.4
1.7
9.4
South-
em
Stales
100 0
24.5
HI
7.6
1.6
4.2
75.5
24.9
43.4
3.2
40
Western
States
100.0
20.0
11.4
5.9
.2
2.4
80.0
42.9
226
.6
13.9
Because of rounding, percentages may not add to totals.
Age
Five percent of all persons arrested nationally in 1987
were under the age of 15; 16 percent were under 18; 30
percent were under 21; and 48 percent were under 25.
Persons in the under 25 age group accounted for 49 percent
of arrests in the cities, 43 percent of those in the suburban
counties, and 41 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;
44 percent were under 21; and 59 percent, under 25. The
under 25 age group was also responsible for 47 percent of
the violent crime arrests and 62 percent of property crime
arrests in 1987.
Sex
Eighty-two percent of the persons arrested in the Nation
during 1987 were males. They accounted for 78 percent of
Index crime arrests, 89 percent of those for violent crimes,
and 76 percent of the property crime arrests. Males were
most often arrested for driving under the influence, which
accounted for 14 percent of all male arrests.
163
As in past years, larceny-theft was the crime for which
females were most often arrested. This single offense
accounted for 80 percent of arrests of women for Index
crimes and 20 percent of all female arrests. Fifty-five
percent of all female larceny-theft arrestees were under 25
years of age.
Two-year trends showed a 2-percent increase in the
number of male arrests from 1986 to 1987; female arrests
rose 4 percent. Male arrests showed a rise of 8 percent and
female arrests a jump of 17 percent for the 5-year period
from 1983 to 1987.
Race
Race distribution figures for the total number of arrests in
the United States during 1987 showed 69 percent of the
arrestees were white, 29 percent were black, and the
remainder were of other races. Whites accounted for 51
percent of the arrests for violent crimes and 66 percent of
those for property crimes.
Table 24.— Total Estimated Arrests', United States, 1987
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
12,711,600
19,200
36,310
138,290
352,450
443,400
1,469,200
169,300
18,000
546,300
2,099,900
2,646,200
787,200
93.900
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
341,900
12,700
139,300
273,500
191,700
110,100
100,100
937,400
25,400
58,700
,727.200
616,700
828,300
698,700
36,100
,836,700
13.500
89,500
160,400
'Arrest totals based on all reporting agencies and estimates for unreported areas.
^Because of rounding, items may not add to totals.
^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.
164
Table 25. — Arrests, Number and Rate, Region, 1987
[Rate; Number of arresis per ICX).000 inhabilanls]
OfTcnse charged
TOTAL
Rate
Murder and nonnegligent manslaughter
Rate
Forcible rape
Rate
Robbei^'
Rale
Aggravated assault
Rate
Burglary
Rate
Larceny-theft
Rate
Motor vehicle thefl
Rate
Arson
Rate
Violent crime'
Rale
Property crime^
Rate
Crime Index total'
Rate
Other assaults
Rate
Forgery and counterfeiting
Rate
Fi^ud
Rate
Embezzlement
Rate
Stolen property; buying, receiving,
possessmg
Rate
Vandalism
Rate
Weapons; carrying, possessing, etc
Rate
Prostitution and commercialized vice .--
Rate
Sex offenses (except forcible rape and
prostitution)
Rate
Drug abuse violations
Rate
Gambling
Rate
Offenses against family and children
Rate
Driving under the influence
Rate
Liquor laws
Rate
Drunkenness
Rate
Disorderiy conduct
Rate
Vagrancy
Rate
All other offenses (except traffic)
Rate
Suspicion (not included m totals)
Rate
Curfew and loitering law violations
Rate
Runaways
Rate
United Stales Tola!
(10.616 agencies.
population 202,337.000)
10.784,199
5,329.8
16,714
8.3
31,276
15.5
123,306
60.9
301.734
149.1
374,963
185.3
1.256,552
621.0
146,753
72.5
15,169
7.5
473,030
233.8
1,793.437
886.4
2.266,467
1.120.1
671,938
332.1
78,817
39.0
280.809
138.8
10.639
5.3
119.048
58.8
230.088
113.7
165,650
81.9
100,950
49.9
85,627
42.3
811,078
400.9
22,762
11.2
48.002
23.7
1,410.397
697.1
505,021
249.6
700.662
346.3
599.622
296.3
32,518
16.1
2,430,913
1,201.4
11,670
5.8
77,556
38.3
135,635
67.0
Nonheaslcrn States
(2,256 agencies;
population 40,033,000)
2,209,155
5,518.4
2.591
6.5
6.024
15.0
41.270
103.1
64,512
161.1
60,725
151.7
206,120
514.9
26,939
67.3
3,134
7.8
114.397
285.8
296.918
741.7
411.315
1.027.4
119,563
298.7
11,087
27.7
53,904
134.7
877
2.2
33,302
83.2
62,386
155.8
24,831
62.0
27,079
67.6
12,286
307
197,475
493.3
6,899
17.2
10.146
25.3
160,375
400.6
86,649
216.4
28,016
70.0
213,470
533.2
7,691
19.2
700,500
1,749.8
1,665
4.2
23,132
57.8
18.172
45.4
Midweslcrn Slates
(2.703 agencies;
population 47.688.000)
2,156,910
4,523.0
4,322
9.1
7.813
16.4
20,132
42.2
45,129
94.6
65,091
136.5
296,936
622.7
23,975
50.3
3,679
7.7
77,396
162.3
389,681
817.2
467,077
979.5
165.461
347.0
13,330
28.0
32,654
68.5
1,155
2.4
23,373
49.0
67,045
140.6
38,221
80.1
19,397
40.7
18,837
39.5
101,947
213.8
5,762
12.1
11.741
24.6
270,869
568.0
161,522
338.7
55,956
117.3
178,959
375.3
2,087
4.4
460,950
956.6
2,216
4.6
23.275
48.8
37,292
78.2
Southern States
(4.021 agencies;
population 68,394.000)
3,602,934
5,267.9
5.833
8.5
10.408
15.2
32,489
47.5
96,317
140.8
140,173
204.9
411,805
602.1
45,353
66.3
4,377
6.4
145,047
212.1
601,708
879.8
746,755
1.091.8
224,344
328.0
34,977
51.1
171,598
250.9
5.983
8.7
27,155
39.7
50,207
73.4
60,062
87.8
21,338
31.2
22,847
33.4
249,902
365.4
6,808
10.0
21,025
30.7
471,720
689.7
116,773
170.7
408,317
597.0
142,183
207.9
1,397
2.0
763,153
1,115.8
7,363
10.8
8.643
12.6
47,747
69.8
Western Slates
(1.636 agencies;
population 46,222,000)
2,815,200
6,090.6
3,968
8.6
7,031
15.2
29.415
63.6
95,776
207.2
108,974
235.8
341,691
739.2
50.486
109.2
3,979
8.6
136,190
294.6
505,130
1092.8
641,320
1.387.5
162,570
351.7
19,423
42.0
22,653
49.0
2,624
5.7
35,218
76.2
50,450
109.1
42,536
92.0
33,136
71.7
31,657
68.5
261,754
S66.3
3,293
7.1
5,090
11.0
507,433
1097.8
140,077
303,1
208,373
450.8
65,010
140.6
21,343
46.2
506,310
1,095.4
426
.9
22,506
48.7
32,424
70.1
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson. Population figures were rounded to the nearest thousand. All rates were calculated before rounding.
165
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l?".?
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167
Table 27. — Total Arrest Trends, 1978-1987
[7.282 agencies; 1987 estimated population 177,340.000]
OfTense charged
Number of persons arrested
Total all ages
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglai7
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
7,609,360
14,456
2:, 584
108,239
195,075
384,962
862,001
118.102
13,649
339,354
1,378,714
1,718,068
75,650
9,506,620
15,064
27,917
114,439
267,829
330,411
1,122,037
131,703
13,383
425,249
1,597,534
2.022,783
349,545
593,049
56,347
69,566
181,677
257,662
6,210
9,707
85,231
106,879
176,496
200,928
118.954
146,920
94,493
51,859
75,494
477.213
737.094
44,672
21,202
41,064
43,058
927,316
1,158,540
260,263
423,293
870,798
603,977
545,222
545,655
39,634
30,819
1,407,935
2,174,723
15,584
10,367
59,365
70,314
115,841
120,464
+24.9
1,716,122
1,580,534
-7.9
5.893,238
7.926,086
+4.2
+29.3
+ 5,7
+37.3
-14.2
+302
+ 11.5
-1.9
1,491
3,638
34.938
31,439
198,436
336.536
58,229
6,737
1,450
4.365
26,029
34,034
115,772
345,617
52,363
5,336
-2.7
+2O0
-25.5
+8.3
^1.7
+2.7
-10.1
-208
12,965
17.946
73,301
163.636
186,526
525,465
59,873
6,912
13,614
23,552
88,410
233,795
214,639
776,420
79,340
8,047
+25.3
+ 15.9
71,506
599,938
65,878
519,088
-7.9
-13.5
267,848
778.776
359,371
1,078,446
+ 17.7
671,444
584,966
-12.9
1,046,624
1,437,817
+69.7
+23.5
+41.8
+56.3
+25.4
+ 13.8
+23.5
+24.9
+45.6
+54.5
-52.5
+4.9
+24.9
+62.6
-30.6
+.1
-22.2
+54.5
-33.5
+ 18.4
+4.0
64,528
6,550
6,852
632
28,271
100,464
19,925
1,941
9,953
103,569
3,757
2,038
33,880
82,129
54,737
98,522
5,367
246,357
4,284
59,365
115,841
87,074
6,115
17,934
864
26,800
82,849
23,286
1,934
12,064
69,702
799
2,278
15,967
110,816
16,840
81,041
2,079
246,348
1,968
70,314
120,464
+34.9
-6.6
+ 161.7
+36.7
-5.2
-17.5
+ 16.9
-.4
+21.2
-32.7
-78.7
+ 11.8
-52.9
+34,9
-69.2
-17.7
-61.3
(*)
-54.1
+ 18.4
+4.0
285,017
49,797
174,825
5,578
56,960
76,032
99,029
73,709
41,906
373,644
40,915
39,026
893,436
178,134
816,061
446,700
34,267
1,161,578
11,300
505,975
63,451
239,728
8,843
80,079
118,079
123,634
92,559
63,430
667,392
20,403
40,780
1,142,573
312,477
587,137
464,614
28,740
1,928,375
8,399
+34.5
+ 5.0
+31.2
+206
+42.9
+ 15.1
+47.8
+32.5
+ 16.4
+ 34.2
+38.5
+37.4
+77.5
+27.4
+ 37.1
+ 58.5
+40.6
+55.3
+24.8
+25.6
+51.4
+78.6
-501
+4.5
+27.9
+75.4
-28.1
+4.0
-16.1
+66.0
-25.7
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-ihcft, motor vehicle theft, and arson.
^Includes arson.
*Less than one-tenth of 1 percent.
168
Table 28. — Total Arrest Trends, Sex, 1978-1987
[7,282 agencies: 1987 eslimaled piipulalion 177.340.000]
Offense charged
Pcrceni
change
Percent
change
Percent
change
Percent
change
TOTAL
Murder and nonnegligeni
manslaughter
Forcible rape
Robber>
Aggravated assault
Burglary
Larceny-thefi
Motor vehicle theft
Arson
Violent crime'
Property cnme^
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-.
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals)
Curfew and loitenng law violations ...
Runaways
6,330.912
7,808,892
+23.3
1,423,487
1,225,421
-13.9
1,278,448
1.697,728
292,635
355,113
12.25.1
21.289
100..165
168.756
360.261
586.143
107.896
11.985
13.193
27.600
105.236
232.170
304.364
771.428
119.116
11.489
+7.7
+29.6
+4.9
+37.6
-15.5
+ 31.6
+ 10.4
^.1
1,256
3.493
33.509
27.124
189.683
265,505
54,590
6,181
1.324
4.276
24.231
28.807
107.256
250.476
46.968
4,767
+ 5.4
+22.4
-27.7
+6.2
^3.5
-5.7
-14.0
-22.9
2.203
295
7.874
26.319
24.701
275.858
10.206
1,664
1,871
317
9,203
35,659
26,047
350,609
12,587
1,894
-15,1
+7.5
+ 16.9
+35.5
+ 5.4
+27,1
+23.3
+ 13.8
235
145
1,429
4,315
8,753
71,031
3,639
556
126
89
1,798
5,227
8,516
95,141
5,395
569
302.663
1,066.285
378.199
1.206.397
+25.0
+ 13.1
65,382
515,959
58.638
409.467
-10.3
-20.6
36.691
312.429
47,050
391,137
+28.2
+25.2
6,124
83,979
7,240
109,621
1,368.948
1,584.596
581,341
468,105
-19.5
349,120
438,187
+25.5
90,103
116.861
299.828
39,070
1 10,768
4.615
75.686
161.263
108.855
23.937
46.819
410.062
39.094
36.958
838,026
219,572
785,852
451,759
26,215
1,172,077
13,432
51.844
59.664
503.138
45,644
146,341
5,956
94,514
179,518
135,647
32,283
69,289
627,551
18,326
35.568
1.022.697
347.840
547.862
442.710
27,348
1,837.588
8.835
52.949
51.527
+67.8
+ 16.8
+32.1
+29,1
+24.9
+ 11.3
+24.6
+34.9
+48.0
+ 53.0
-53,1
-3,8
+22,0
+58.4
-30.3
-2.0
+4.3
+ 56.8
-34.2
+2.1
-13,6
53,778
5,605
5,532
563
26,742
94,509
18,270
1,226
8,641
95,042
1.659
1.300
18.971
73.054
29.069
84.276
4,484
207,919
3,848
51,844
59,662
67,239
4,076
13,264
552
24,305
75,508
21,644
611
11,256
60,663
768
1,393
13,775
80.785
14.134
65,674
1,705
195,488
1.567
52.949
51.527
+25,0
-27,3
+ 139,8
-2,0
-9,1
-20,1
+ 18,5
-50,2
+ 303
-36,2
-53,7
+7,2
-27,4
+ 106
-51,4
-22,1
-62.0
-6.0
-59.3
+2.1
-13.6
49,717
17,277
70,909
1.595
9.545
15.233
10.099
51.713
5.040
67.151
5.578
4.106
89.290
40.691
84.946
93.463
13.419
235.856
2.152
7.521
56,179
89,911
23,922
111,321
3,751
12,365
21,410
11,273
62,210
6,205
109,543
2,876
7,490
135,843
75,453
56,115
102,945
3,471
337,135
1,532
17,365
68,937
+80.8
+38.5
+57.0
+ 135.2
+29.5
+40.6
+ 11,6
+20,3
+23,1
+63,1
^8.4
+82.4
+ 52.1
+85.4
-33.9
+ 10.1
-74.1
+42.9
-28.8
+ 130.9
+22.7
10,750
945
1,320
69
1,529
5,955
1,655
715
1,312
8,527
2,098
738
14,909
9,075
25,668
14,246
883
38,438
436
7,521
56,179
19,835
2,039
4,670
312
2,495
7,341
1.642
1,323
9,039
31
885
2,192
30,031
2.706
15,367
374
50,860
401
17,365
68,937
+21.4
^6.4
-38.6
+25.8
+21.1
-2.7
+33.9
+48.3
+2.3
+ 18.2
+30.5
+29.7
+84.5
+ 115.8
+253.8
+352.2
+63.2
+23.3
+85.0
-38.4
+6.0
-98.5
+ 19.9
-85.3
+230.9
-89.5
+7.9
-57.6
+32.3
-8.0
+ 130.9
+22.7
'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.
169
Table 29. — Total Arrest Trends, 1983-1987
[8,692 agencies; 1987 estimated population 183,805,000]
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,
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....
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not mcluded in totals)
Curfew and loitering law violations
Runaways
Number of persons arrested
Total all ages
9,177,847
16,261
26,881
122,113
230,467
372,985
1,053,370
95,016
14,677
395,722
1,536,048
1,931,770
434,709
64,630
233,502
6,751
97,350
190,342
144,863
113,596
10,041,075
15,745
29,247
117,489
282,001
350,235
1,175,775
138,297
13,959
444,482
1,678,266
2,122,748
628,316
72,937
251,128
9,756
111,325
213,055
156,143
97,736
69,877
80,686
557,613
767,808
34,790
21,924
36,551
40,886
1,405,276
1,286,587
376,936
463,875
866,498
672,097
603,414
558,888
30,208
31,522
1,815,395
2,2H53I
11,232
11,143
63,790
74,250
99,986
124,877
Percent
change
+9.4
-3.2
+ 8.8
-3.8
+22.4
-6,1
+ 11.6
+45.6
^.9
+ 12.3
+9.3
+9.9
+44.5
+ 12.9
+ 11.8
+44,5
+ 14.4
+ 11.9
+7.8
-14.0
+ 15.5
+ 37.7
-37.0
+ 11.9
-8.4
+ 23.1
-22.4
-7.4
+4.3
+23.6
-.8
+ 16.4
+ 24.9
Under 18 years of age
1,557,605
1,223
4,016
32,826
30,352
144,037
342,031
32,834
5,673
68,417
524,575
592.992
72,450
5,995
20,337
405
23,691
83,684
20,744
2,638
10,913
66,747
1,023
1,056
21,702
98,760
25,419
87,946
2,405
254,922
2,600
63,790
99,986
1,662,360
1,495
4,604
26,520
36,006
122,990
364,248
54,923
5,662
68,625
547,823
616,448
91,938
6,495
18,075
711
28,020
87,982
24,409
2,031
12,736
72,149
790
2,350
17,967
121,221
19,401
82,413
2,269
255,828
2,312
74,250
124,877
Percent
change
+6.7
+22.2
+ 14.6
-19,2
+ 18,6
-14,6
+6,5
+67,3
-2
+,3
+4,4
+4.0
+26.9
+8.3
-11.1
+ 75.6
+ 18.3
+ 5.1
+ 17.7
-23.0
+ 16.7
+ 8.1
-22.8
+ 122.5
-17.2
+22.7
-23.7
-6.3
-5.7
+ 4
-11.1
+ 16.4
+24.9
18 years of age and over
7,620,242
15,038
22,865
89,287
200,115
228,948
711,339
62,182
9,004
327,305
1,011,473
1,338,778
362,259
58,635
213.165
6,346
73.659
106.658
124.119
110958
58.964
490.866
33,767
35,495
1,383,574
278,176
841,079
515,468
27,803
1,560,473
8,632
8,378,715
14.250
24.643
90.969
245.995
227.245
811.527
83.374
8.297
375,857
1,130,443
1,506,300
536,378
66,442
243,053
9,045
83,305
125,073
131,734
95,705
67,950
695,659
21,134
38,536
1.268,620
342,654
652,696
476,475
29,253
1,988,703
8.831
Percent
change
+10.0
-5.2
+7.8
+ 1.9
+22.9
-.7
+ 14.1
+34.1
-7.9
+ 14.8
+ 118
+ 12.5
+48.1
+ 13.3
+ 14.0
+42.5
+ 13.1
+ 17.3
+6.1
-13.7
+ 15.2
+41.7
-37.4
+8.6
-8.3
+23.2
-22.4
-7.6
+5.2
+27,4
+2.3
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.
170
Table 30. — Total Arrest Trends, Sex, 1983-1987
[S.tai agencies, 1187 cslmialed piipulaiion 18.1.805.000)
OfTense chirged
Percent
change
Percent
change
Percent
change
Percent
change
TOTAL .
Murder and nonnegligeni manslaughter
Forcible rape
Robbery
.Aggravated assault
Burglar)'
larceny-theft
Motor vehicle Iheft
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
Se.\ offenses {except forcible rape and
prostitutton)
Drug abuse violations
Gambling
Offenses against family and children ...
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) . ...
Suspicion (not included in totals)
Curfew and loitering law violations
Runaways
7,647.104
8.256.826
+8.0
1,227,278
1,288,914
+5.0
1,530,743
1,784,249
+16.6
330,327
373,446
14.108
26.616
11.1.114
1W,438
347,221
740,899
86,461
12.858
1.1.766
28,913
107.972
244,435
321.920
809,686
124.988
12.019
-2.4
+8.6
-».5
+ 22.6
-7.1
+9.3
+44.6
-6.5
1,102
3,965
30.666
25,462
134,318
250,868
29.287
5,124
1,365
4.505
24,700
.10,494
113,773
264,440
49,176
5,080
+ 2.1.9
+ 13.6
-19.5
+ 19
-15.3
+ 5.4
+67.9
-.9
2,153
265
8,999
31,029
25,764
312,471
8.555
1,819
1,979
334
9,517
37,566
28,315
366,089
13,309
1,940
-8.1
+ 26.0
+ 5.8
+21.1
+9.9
+ 17.2
+55.6
+6.7
121
51
2,160
4,890
9,719
91,163
3,547
549
130
99
1,820
5,512
9,217
99,808
5,747
582
353,276
1,187.439
395,086
1,268,613
+ 11.8
+ 6.8
61,195
419,597
61,064
432,469
42,446
348,609
49,396
409,653
H64
H7.5
7,222
104,978
7,561
115,354
1,540,715
1,663,699
fS.O
480,792
493,533
+2.7
391,055
459,049
+ 17.4
112,200
122,915
370,836
42,838
140,116
4,515
86,327
172,019
133,690
33,872
64.591
479.369
30,933
32,248
1,245,617
315,433
790,661
506,872
27,180
1,538,238
9,580
48,947
42,087
533,381
47,815
147,853
6.010
98,435
190,428
144,279
34,565
74,183
652,919
18,977
33,340
1,136,204
381,676
609,948
453,373
27,945
1,892,872
9,542
55,728
53,196
+43.8
+ 11.6
+5.5
+ 33.1
+ 14.0
+ 10.7
+7.9
+2.0
+ 14.9
+36.2
-38.7
+3.4
+21.0
-22,9
-106
+2,8
+23.1
-.4
+ 13.9
+26.4
56,783
4,047
15,844
288
21,467
76,675
19,449
821
10,233
55,959
971
676
18,874
73,516
21,397
72,994
2,046
203,412
2,073
48,947
42,087
70,995
4,332
13,378
439
25,437
80,169
22,658
669
11,904
62,740
759
1,448
15,506
88,547
16,277
66,782
1,874
202,543
1,875
55,728
53,196
+25.0
+7.0
-15.6
+ 52.4
+ 18.5
+4.6
+ 16.5
-18.5
+ 163
+ 12.1
-21.8
+ 114.2
-17.8
+20.4
-23.9
-8.5
-8.4
-.4
-9.6
+ 13.9
+26.4
53,873
21,792
93,386
2,236
11,023
18,323
11.173
79,724
5,286
78,244
3,857
4,303
159,659
61,503
75,837
96,542
3,028
277,157
1,652
14,843
57,899
94,935
25,122
113,275
3,746
12,890
22,627
11,864
53,171
6,503
1 14,889
2.947
7,545
150,383
82,199
52,149
105,515
3,577
351,559
1,601
18,522
71,681
+48.6
+ 15.3
+21.3
+67.5
+ 16.9
+23.5
+62
-20.8
+23.0
+45.8
-23.6
+75.4
-5.8
+33.7
-18.0
+9.3
+ 18.1
+269
-3.1
+24.8
+23.8
15,567
1,948
4,493
117
2,224
7,009
1,295
1,817
680
10,788
52
380
2,828
25,244
4,022
14.952
359
51,510
527
14,843
57,899
20,943
2,163
4,597
272
2,583
7,813
1,751
1,352
832
9,409
31
902
2,461
32,674
3,124
15,631
395
53,285
437
18,522
71,681
+ 13.1
+7.4
+94,1
-15.7
+ 12.7
-5.2
+9.5
+62,0
+60
+4.7
+9.9
+9.5
+33.7
+ 11.0
+4.5
+ 132.5
+ 161
+ 11.5
+35.2
-25.0
+22.4
-12.8
-40.4
+ 137.4
-13.0
+29.4
-22,3
+4,5
+ 10.0
+3.4
-17.1
+24.8
+23.8
'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.
171
Table 31. — Total Arrest Trends, 1986-1987
(9,269 agencies; 1987 estimated population 188,018,000]
OfTcnse charged
Number of persons arrested
Total all ages
Percent
change
Under IS years of age
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Percent
change
TOTAL
Murder and nonnegligenl
inanslaughter
Forcible rape
Robbei7
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
9,941,820
10,160,965
+2.2
518,743
525,482
+ 1.3
1,683,494
1,672,701
-.6
8,258,326
8,488,264
16,036
29,864
124,085
276,319
359,669
1,146.355
127,422
14,414
15,903
29,334
119.024
286,696
354,827
1,178,934
140.930
14,058
-1.8
-».l
+ 3.8
-1,3
+2.8
H0.6
-2.5
157
1,521
6,960
10,309
45,608
151.587
11,699
3.499
191
1.600
6,954
10.767
45,002
153.668
13.469
3.651
+ 21,7
+ 5.2
-.1
+4.4
-1.3
+ 1.4
+ 15.1
+4.3
1.443
4.692
28.794
35.710
129.716
366.166
49.723
5.740
1,526
4,634
26,793
36,830
124,598
365,981
56,087
5,777
+ 5.8
-1.2
-6.9
+3.1
-3.9
-.1
+ 12.8
+.6
14,593
25,172
95,291
240,609
229,953
780,189
77,699
8,674
14,377
24,700
92,231
249,866
230,229
812,953
84.843
8,281
446.304
1,647,860
450,957
1,688,749
18,947
212,393
19.512
215,790
+3.0
+ 1.6
70,639
551,345
69,783
552,443
-1.2
+.2
375.665
1,096.515
381.174
1.136,306
2,094.164
2,139.706
+ 2.2
231.340
235.302
H.7
621.984
622.226
(*)
1.472,180
1.517.480
594.537
70,701
264.677
9.630
106,702
214,296
160,963
103,008
80,356
690,052
27,038
42,112
1,343,716
454,053
722.701
575,029
32.236
2,158.205
11.347
69.106
128.538
629.375
73.615
262.770
9.924
112.702
212.246
156.425
97,947
80.805
777.285
22,047
42,766
1,318,901
469,624
674,306
554,299
31,954
2,294,196
11,096
71,753
128,319
+ 5,9
+4,1
-,7
+ 3,1
+ 5.6
-1.0
-2.8
^.9
+ 6
+ 12.6
-18.5
+ 1,6
-1,8
+ 3,4
-6,7
-3,6
-9
+6,3
-2,2
+ 3,8
-,2
31,313
1,026
6,689
47
7,252
43,486
6,502
243
5,944
9,259
112
1,195
400
9,414
2,796
22,659
507
67,757
812
18,400
52,402
33.330
974
7.963
58
7.439
42.613
6.156
181
5.952
9.309
108
789
344
8.484
2,168
22,409
530
69,062
755
19,605
52,706
+6,4
-5,1
+ 19,0
+23,4
+ 2,6
-2,0
-5,3
-25.5
+ ,1
+ ,5
-3,6
-34.0
-14.0
-9.9
-22.5
-1.1
+4.5
+ 1.9
-7.0
+6.5
+.6
88.471
6.551
17.427
644
27.028
91.577
25.498
2.307
13,337
68,465
715
2,391
21,006
121,810
24,751
84,123
2,420
265,345
2,424
69,106
128,538
92.469
6.658
18.133
720
28.219
88.201
24.160
2.045
12,713
72,742
757
2,385
18,443
121,941
19,705
80,368
2,367
258.377
2.381
71,753
128.319
+4.5
+ 1,6
+4,1
+ 11,8
+4,4
-3,7
-5.2
-11.4
-AJ
+6.2
+ 5.9
-.3
-12.2
+ .1
-204
-t.5
-2.2
-2.6
-1.8
+3.8
-.2
506.066
64.150
247.250
8.986
79.674
122.719
135,465
100,701
67,019
621,587
26,323
39,721
1,322,710
332,243
697,950
490,906
29,816
1,892,860
8,923
536,906
66,957
244,637
9,204
84,483
124,045
132,265
95,902
68,092
704.543
21,290
40,381
1,300.458
347.683
654.601
473,931
29,587
2,035,819
8,715
+2.8
-1.5
-1.9
-3.2
+ 3.8
+.1
+4.2
+9.2
-4.5
+ 1.5
+3.6
+3.1
+6.1
+4.4
-1.1
+2.4
+6.0
+ 1.1
-2.4
+ 1.6
+ 13.3
-19.1
+ 1.7
-1.7
+4.6
-6.2
-3.5
-.8
+7.6
-2.3
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
*LeS5 than one-tenth of I percent.
172
Table 32. — Total Arrest Trends, Sex, 1986-1987
[9.269 agencies; 1987 estimated population 188.018,000)
Males
Females
OfTensc charged
Tolal
Under 18 |
Tolal
Under 18
l<>86
1087
Percent
change
1986
1987
Percent
change
1986
1987
Percent
change
1986
1987
Percent
change
TOTAL
8.218.205
8,363,972
+ 1.8
1,312.281
1,297,470
-1.1
1,723,615
1,796,993
+4.3
371,213
375,231
+ 1.1
Murder and nonnegligent
14.079
29,531
1 14,452
239,816
331.190
799.187
115.394
12.422
13.927
28.981
109.392
248.537
326.190
812.537
127.333
12.084
-1.1
-1.9
-4.4
+3.6
-1.5
+ 1.7
+ 103
-2,7
1,343
4,599
26,820
30,198
120.013
269.302
44.464
5,166
1,393
4,527
24,950
31,145
115.300
265.727
50.194
5.184
+3.7
-1.6
-7.0
+3.1
-3.9
-1.3
+ 12.9
+.3
1,957
333
9.633
36.503
28.479
347.168
12.028
1.992
1.976
353
9.632
38.159
28.637
366.397
13.597
1.974
+ 1.0
+6.0
(')
+4.5
+ .6
+5.5
+ 13.0
-.9
100
93
1.974
5,512
9,703
96,864
5,259
574
133
107
1.843
5.685
9.298
100.254
5.893
593
+33.0
+ 15.1
-6.6
+ 3.1
-4.2
+ 3.5
Motor vehicle theft
+ 12.1
+3.3
397.878
1,258.193
400.837
1,278,144
+ .7
+ 1.6
62.960
438.945
62,015
436,405
-1.5
-.6
48.426
389.667
50,120
410,605
+ 3.5
+ 5.4
7,679
112,400
7,768
116,038
+ 1.2
+3.2
1,656,071
1,678,981
+ 1.4
501.905
498,420
-.7
438,093
460,725
+5.2
120,079
123,806
+ 3.1
Other assaults
505,116
46,704
150.147
6.087
94.526
192.009
148.951
36.126
73.816
591.370
22.620
35,350
1.188,837
378,288
657,997
472,112
28,408
1,827,893
9,692
51,510
54,267
534,427
48,291
148,852
6,093
99,620
189,811
1H509
34,468
74,393
661,139
19,075
35,090
1,164.623
386.715
612.151
449.881
28.307
1,938,698
9,514
53,994
54,854
+ 5.8
+ 3.4
-.9
+.1
+ 5.4
-1.1
-3.0
^.6
+ .8
+ 11.8
-15.7
-.7
-2.0
+2.2
-7.0
-A.l
-.4
+6.1
-1.8
+4.8
+ 1.1
68.577
4.410
13.168
384
24.568
83,399
23,856
803
12,403
58,887
676
1,488
18,215
90,543
20.944
68.853
1.995
211.430
1.914
51.510
54.267
71,482
4,412
13.444
448
25.631
80.385
22.460
670
11.889
63,317
727
1,464
15,928
89,240
16,549
65,326
1,950
204,880
1,931
53,994
54,854
+4.2
(')
+2.1
+ 16.7
+4.3
-3.6
-5.9
-16.6
-4.1
+7.5
+7.5
-1.6
-12.6
-1.4
-21.0
-5.1
-2.3
-3.1
+.9
+4.8
+ 1.1
89.421
23.997
114.530
3.543
12.176
22,287
12,012
66,882
6,540
98,682
4,418
6,762
154,879
75,765
64,704
102,917
3,828
330,312
1,655
17,596
74,271
94,948
25,324
113,918
3,831
13,082
22,435
11,916
63,479
6.412
116.146
2.972
7.676
154.278
82.909
62,155
104,418
3,647
355,498
1.582
17,759
73.465
+6.2
+5.5
-.5
+8.1
+7.4
+.7
-.8
-5.1
-2.0
+ 17.7
-32.7
+ 13.5
-.4
+9.4
-3.9
+ 1.5
-4.7
+7.6
-4.4
+ .9
-1.1
19,894
2,141
4,259
260
2.460
8.178
1.642
1.504
934
9,578
39
903
2,791
31,267
3.807
15,270
425
53,915
510
17,596
74,271
20,987
2,246
4,689
272
2.588
7.816
1,700
1.375
824
9,425
30
921
2,515
32,701
3,156
15.042
417
53.497
450
17.759
73.465
+5.5
+4.9
+ 10.1
Embezzlement
+4.6
Stolen property; buying, receiving,
possessing
+5.2
-4.4
Weapons; carrying, possessing, etc
Prostitution and commercialized
+3.5
-8.6
Se% ofTenses (except forcible rape and
prostitution)
-11.8
-1.6
-23.1
Offenses against family and children
Driving under the influence
+2.0
-9.9
+4.6
Drunkenness
-17.1
Disorderly conduct
-1.5
-1.9
-.8
Suspicion (not included in totals)
Curfew and loitenng law violations
Runaways
-11.8
+.9
-1.1
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
*Less than one-tenth of one percent.
173
Table 33. — Totol Arrests, Distribution by Age, 1987
[10,616 agencies: 1987 estimated population 202,337,000]
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Offense charged
Under
10
10-12
13.K.
15
16
17
18
19
20
21
TOTAL
10,795,869
100.0
557,278
5.2
1,781,240
16.5
9,014,629
83.5
47,725
.4
135,773
1.3
373,780
3.5
320,871
3.0
422,392
3.9
480,699
4.5
504.876
4.7
500,482
4.6
476,617
4.4
476,222
4.4
Murder and nonnegligent
16,714
31,276
123,306
301,734
374,953
1.255,552
145,753
15,169
203
1.660
7.188
11,284
47,601
162,255
14,055
3.851
1.592
4.909
27.682
38.646
132.152
388.788
58.573
6.139
15.122
26.367
95.624
263.088
242.801
867.754
88.180
9.030
14
107
299
901
4,342
15,418
238
1,078
25
352
1.439
2.809
12.312
47.973
1.706
1,152
164
1.191
5.450
7,574
30,947
98,854
12.112
1.621
216
921
5.255
6.840
24.685
57.449
13.757
882
451
1.108
7.201
9.510
29.508
80.347
16.167
728
722
1.220
8.038
11.012
30,367
78.737
14.583
678
868
1.231
7.945
10.786
27.495
70.156
11.006
572
875
1,211
7,345
11.135
22.374
58.682
9.057
533
828
1.311
6.732
11.559
18.918
49.724
7.100
459
812
1,318
6,747
12,641
Burglary
16,823
45.445
Motor vehicle theft
6.303
Arson
440
473,030
100.0
1,793,437
100.0
20.335
4.3
227.763
12,7
72.829
15.4
585.652
32.7
400.201
84.6
1.207.775
67.3
1,321
.3
21,076
1.2
4,635
1.0
63.143
3.5
14,379
3.0
143,544
8.0
13.232
2.8
106.784
6.0
18.270
3.9
125.750
7.1
20.992
4.4
124.365
6.9
20.830
4.4
109.230
5.1
20.565
4.3
90.646
5.1
20,430
4.3
76.201
4.2
21,518
4.5
Property crime''
69.012
3.8
2.266.457
100.0
248.098
109
658.491
29.1
1.607,976
70.9
22,397
1.0
67,778
3.0
157,923
7.0
120.016
5.3
145.020
6.4
145.357
5.4
130.060
5.7
111.212
4.9
96,631
4.3
90,530
4.0
671.938
78.817
280.809
10.639
119.048
230.088
165.550
100.950
85.627
811,078
22.762
48.002
1.410.397
505,021
700,652
599,622
32,518
2,430,913
11,670
77,556
135,635
35.113
1.026
7.995
137
7.858
45.853
6.578
188
5,391
9,708
124
829
365
9,261
2,231
24.645
539
73,278
814
20,827
55.419
97.880
7.097
18.389
908
29.850
94.949
25.553
2,135
13,544
76,037
840
2,567
19,717
132,459
20,354
88,497
2.452
273.571
2,559
77,556
135,635
574.058
71.720
262.420
9.731
89.198
135.139
139.997
98.815
72.083
735.041
21,922
45.435
1.390.580
372.552
680.308
511.125
30.066
2.157,242
9,111
2,962
37
212
10
333
7,433
282
11
626
259
2
183
100
294
109
2.019
31
7.312
83
765
2,255
9.415
179
1,869
45
1,484
14,238
1.243
12
1.752
870
15
158
38
542
202
6.028
86
16.204
188
3.636
9.691
22,736
810
5,914
82
6,041
24,182
5,053
165
4,013
8.579
107
488
227
8.325
1.920
15.599
422
49.762
543
16,426
43,453
17.525
1.011
5.743
78
5.678
15.176
4.846
288
2.378
12.700
149
538
769
17.254
3.063
15.064
455
45.257
551
16.878
35.324
21.324
2,014
1.613
247
7.722
17.054
6.443
557
2.392
22.297
232
658
5.121
40.605
5.541
21.721
668
57.515
625
21,750
31,171
23.818
3.046
3.038
446
8.592
16.856
7.785
1.102
2.383
31.332
335
542
13.462
55.339
9.519
27.066
780
87.510
558
18.101
13.721
22,907
3,825
5,546
477
8.640
13.094
8.858
2.751
2.488
39.816
309
1.287
30.555
79.009
15,978
29,690
1,367
106.743
475
24.354
4.273
8.265
564
7.854
10.817
8.456
4.322
2.598
42.399
324
1.279
39.802
68.059
19.057
29.930
1.421
1 14.972
514
25,396
4,142
9,922
603
5,351
9,178
7,803
4,765
2,511
42,012
357
1,470
47,750
49,939
20.439
29.928
1,139
115,741
439
28,482
Forgery and counterfeiting
4,220
11,852
550
Stolen property; buying, receiving,
5,958
8,803
Weapons; carrying, possessing,
etc
Prostitution and commercialized
7,983
6,145
Sex offenses (except forcible rape
2,770
44,058
427
Offenses against family and
1.843
Driving under the influence
61.313
19.579
26.564
32.218
1.178
All other offenses (except
irafTic)
121.154
484
Curfew and loitering law
See footnotes at end of table.
174
Table 33. — Total Arrests, Distribution by Age, 1987 — Continued
Age
OfTenK charged
22
2.1
24
25-2')
30-34
.15-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
470,849
4.4
468,471
4.3
459,475
4.3
1,977,845
18.3
1,415,921
13.1
904,908
8.4
528,330
4.9
316,171
2.9
202,147
1.9
137,410
1.3
87,233
.8
87,672
Percent distributioii'
.8
Murder and nonncgligen(
manslaughlcr
827
1.337
6.346
12.832
15,352
42.761
5.632
449
758
1.355
6.026
13.121
14.244
40.954
5.138
493
760
1.377
5.838
13.252
13.056
39,265
4,622
431
3.075
6.248
23.224
60.707
52.009
171.126
17.677
1.766
2.288
4.442
13.733
45.705
32.602
132.298
10.843
1.418
1.558
2.860
6.799
29.013
16,318
85,619
5,625
965
958
1.592
2.705
17.381
7,136
46,443
2,668
596
556
875
1.139
10,045
3,265
27,297
1,249
352
352
469
524
6.071
1.531
18.669
679
238
236
336
289
3.858
807
14.195
319
163
137
211
109
2,410
420
10.357
117
92
234
194
123
2.572
450
14,772
Motor vehicle thcA
145
63
21,342
4.5
64,194
36
21.260
4.5
60.829
3.4
21.227
4.5
57.374
3.2
93.254
19.7
242.578
13.5
66,168
14.0
177,161
9.9
40,230
8.5
108,527
6.1
22,636
4.8
56,843
3.2
12,615
2.7
32,163
1.8
7.416
1.6
21.117
1.2
4.719
1.0
15.484
.9
2.867
.6
10.986
.6
3.123
.7
15.430
Percent distnbulion'
.9
85,536
3.8
82.089
3.6
78.601
3.5
335.832
14.8
243.329
10.7
148,757
6.6
79,479
3.5
44,778
2.0
28.533
1.3
20.203
.9
13.853
,6
18.553
Percent disinbution'
.8
29.718
4.069
12.397
510
5.234
8,108
7,733
6,980
2,882
44.701
500
1.963
65.045
15.691
26.743
31,534
1,163
119.859
483
30.657
4.227
13,586
511
4,929
7,748
7.579
7.118
3.037
44.750
502
2.039
68.667
13.604
27.406
29.659
1.133
118.766
464
30,820
3,890
13.492
484
4.611
7.379
7.312
6.674
2.969
44.162
553
2.141
69.629
11,757
27,613
28,780
1,085
117.038
485
140.258
17.043
60.690
2.206
18.514
29.508
29.632
28.747
14.620
188.851
3.015
10.415
314.528
40.002
132.577
113.576
5.735
489.981
2.115
98.996
12,227
49,091
1,488
12,069
18,422
20,952
16,262
12,181
123,586
2.945
9.146
234.053
25.562
111.817
74.374
5.006
342.731
1.684
60,822
7,102
34,607
1,025
7,146
10,339
13,305
7,502
8,779
66,856
2,751
6,534
161,444
17,034
84,597
45.475
4.117
215.747
969
34,847
3,430
20,343
611
3.609
5.334
8.102
3.387
6.001
28,996
2,495
3,709
108,374
11.024
58.418
26.106
2.506
121.113
446
19,524
1,529
10,520
321
1,936
2,686
4,801
1,713
3,688
12,928
2,201
1.776
70.626
7.719
42.058
15.353
1.571
70.197
246
11,458
870
5.476
173
1.054
1.611
2,901
957
2,368
6,080
1,898
877
47.576
5.351
31,939
9,679
1.058
42,146
142
6.922
425
3.148
107
616
912
1,964
661
1.993
3.132
1.362
482
32,847
3.795
24.420
6.429
775
27.146
71
4.379
227
1.815
59
381
538
1.255
418
1.406
1.513
1.051
229
20.774
2.400
15.914
4.246
440
16.292
43
4.518
Fraud
221
1.670
42
Stolen properly; buying, receiving,
296
662
etc
1.361
Prostitution and commercialized vice
Sex offenses (except forcible rape
411
1.692
1.191
1,232
Offenses against family and
245
17,596
Liquor laws
2,037
13,658
4,148
372
All olher ofTenses (except
traffic)
17,616
51
Curfew and loitenng law
violations
Runaways
'Because of rounding, the percentages may not add to total.
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
■Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
175
Table 34. — Male Arrests, Distribution by Age, 1987
[10,616 agencies; 1987 eslimated population 202,337,000]
OfTense charged
ToUl
•11
ages
Ages
under
15
Ages
under
18
Ages
18 and
Age
Under
10
TOTAL
Percent distribution'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Anon
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
GambUng
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
8,881,528
100.0
14.629
30.908
113,342
261.548
345.169
865,432
132,542
13,088
420,427
100.0
1,356,231
100.0
1,776,658
100.0
570,689
51,732
158,573
6,582
105,203
205,754
153,001
35,525
78,911
689,853
19,693
39,663
1,245,446
414,869
635,961
487,757
28,757
2,050,671
9,976
58,193
58,061
420,287
4.7
1,380,748
15.5
7,500,780
84.5
40,085
.5
108,021
1.2
272,181
3.1
238,219
2.7
328,678
3.7
393,564
4.4
424,934
4.8
421,666
4.7
400,266
4.5
171
1,610
6,577
9,265
43,253
119,551
12,089
3,454
1,454
4,799
25,779
32,640
122,391
282,329
52,387
5,515
13,175
26.109
87,563
228.908
222,778
583,103
80,155
7,573
13
104
285
804
3,884
12,678
218
1,009
18
356
1,350
2,414
11,165
36,309
1,500
1,036
140
1,150
4,942
6,047
28,204
70,564
10,371
1,409
198
896
4,836
5,597
22.810
48.278
12,202
777
408
1,090
6,747
8,137
27,689
57,385
14,686
672
677
1,203
7,619
9,641
28,639
57,115
13,410
612
819
1,216
7,510
9,541
25,958
50,848
10,240
520
797
1,195
6,917
9,807
21,053
41,548
8.441
476
748
1,300
6,262
10,030
17,713
34,569
6,566
415
17,623
4.2
178,347
13.2
64,672
15,4
462,622
34.1
355,755
84.6
893,609
65.9
1,206
.3
17,789
1.3
4,138
1,0
50,010
37
12,279
2.9
1 10,548
8,2
11,527
2.7
84,067
6.2
16,382
3.9
100.432
7,4
19,140
4.6
99,776
7.4
19,086
4,5
87,566
6.5
18,716
4,5
71,518
5.3
18,340
4.4
59,263
4.4
195,970
11.0
527,294
29,7
1,249,364
70,3
18,995
1.1
54,148
3,0
122,827
6.9
95.594
5.4
116,814
6,6
118,916
6.7
106,652
6,0
90,234
5.1
77,603
4,4
26,376
649
5,948
105
7,098
41,904
5,968
58
5,902
7,904
117
457
285
5,302
1,520
19,204
430
55,598
632
15,066
23,794
75,648
4,729
13,606
578
27,084
86,537
23,818
688
12,645
66,081
796
1,590
17,032
96,656
17,083
71.739
2,013
216,815
2,062
58,193
58,061
495.041
47,003
144,967
6,004
78,119
119,217
129,183
34,837
66,266
623,772
18,897
38,073
1,228,414
318,213
618,878
416,018
26,744
1,833,856
7,914
2,535
28
145
302
6,913
264
551
217
2
96
92
242
95
1,669
29
5,609
61
647
1,579
7,423
112
1,388
34
1,361
13,135
1,143
1,593
694
13
96
29
364
144
4,827
75
13,158
168
2,819
5,291
16,418
509
4,415
63
5,435
21,856
4,561
46
3,758
6,993
102
265
164
4,696
1,281
12,708
326
36,831
403
11,600
16,924
13,175
656
4.339
49
5,103
13,841
4,455
75
2,245
10,951
135
309
624
11,019
2,381
11,756
383
34,186
436
12,278
14,229
16,749
1,318
1,185
156
7,025
15,541
6,040
187
2,271
19,475
220
423
4,344
29,395
4,712
17,826
552
54,153
512
16,456
13.324
19,348
2,106
2,134
268
7,858
15,251
7,355
368
2,227
27,751
324
401
11,779
50,940
8,470
22,953
648
72,878
482
14,393
6,714
19,236
2,564
3,456
256
7,905
12,057
8,391
876
2,275
35,231
294
1,055
26,958
64,296
15.504
25,258
1,173
91,071
426
20,573
2,871
4,870
291
7,161
9,830
7,976
1,239
2,331
37,185
296
1,040
35,326
57,271
17,504
25,346
1,199
98,674
449
21,511
2,748
5,572
318
5,732
8,275
7,322
1,440
2,338
36,401
322
1,194
42.418
42,982
18,747
24,788
952
99,223
380
398,502
4.5
724
1,302
6,197
10,992
15,622
31,193
5,827
390
19,215
4.6
53,032
3,9
72,247
4.1
24,259
2,757
6,685
317
5,297
7,855
7,431
1,743
2,448
38,003
369
1,514
54,235
17,258
24,397
26,661
979
103,613
434
See footnotes at end of table.
176
Table 34. — Male Arrests, Distribution by Age, 1987 — Continued
Agt
Offense charged
22
23
24
25-2')
30O4
35-39
40-44
45-49
50-54
55-59
60-64
6! ind
over
TOTAL
389.757
4.4
386.418
4.4
377,916
4,3
1,613,759
18.3
1,16«.4«5
13.1
754,703
8.5
444.228
5.0
268,878
3.0
174,772
2.0
119,254
1.3
75,636
.9
73,626
.8
Murder and nonnegligent
747
1.329
5.842
11,154
14,217
28,799
5,100
375
661
1.343
5.465
11.304
13.089
27.019
4.642
429
662
1,369
5,292
11,424
11,953
25,916
4,123
354
2.664
6.181
20.991
52.481
46.996
112.912
15.780
1,436
1.938
4,395
12,379
39,400
29,431
88.498
9.633
1,161
1.331
2,832
6,198
25,238
14,681
58,790
5,071
776
812
1.577
2.484
15.268
6.318
30,727
2,442
485
455
867
1,056
8,855
2,918
17,744
1,128
291
295
464
489
5.428
1,349
11,492
627
199
201
335
267
3,443
709
8.496
295
136
116
211
102
2.174
366
6.037
107
81
205
193
Robber>'
112
As&ravated ftssault
2.369
405
Larceny-thefl
Motor vehicle iheft
8.515
133
49
Violent crime^
Percent distribution'
19,072
4.5
48,491
3.6
18.773
4.5
45.179
3.3
18.747
4.5
42.346
3.1
82,317
19.6
177,124
13.1
58,112
13.8
128,723
9.5
35,599
8.5
79,318
5,8
20,141
4.8
39,972
2.9
11,233
2,7
22,081
1.6
6,676
1.6
13,667
1,0
4.246
1.0
9,636
.7
2.603
.6
6.591
.5
2.879
.7
9.102
Percent distribution'
.7
Crime Index total*
Percent distribution'
67,563
3.8
63.952
3.6
61.093
3.4
259.441
14.6
186,835
10.5
114,917
6.5
60,113
3.4
33,314
1.9
20.343
1.1
13,882
.8
9,194
.5
11.981
.7
25,360
2,631
6,795
303
4,609
7,217
7,171
1,743
2.509
38.155
423
1.632
57.505
13,793
24,245
24,852
989
101,861
401
26,302
2,716
7,320
305
4.290
6.830
7.024
1,900
2.643
37,937
429
1.666
60.691
11.926
24.686
23,609
954
100,832
406
26.461
2.516
7.293
293
3,977
6,413
6,703
1,843
2,572
37,238
462
1,757
61,267
10,336
24,866
22.586
881
98.951
408
121.434
10.877
32.622
1.358
15,738
25,721
27,044
8,573
13,012
157,579
2,541
8,624
276,323
34,812
118,518
88,746
4,996
414,003
1,797
85,734
7,930
26,345
982
10,297
15,976
19,130
5,953
11,061
103,012
2,477
7,699
205,421
22,239
100,406
59,607
4,477
289,438
1,446
52,854
4,716
18,461
660
6,148
8,941
12,187
3,681
8,317
56,942
2,256
5,564
141,915
14,818
76,838
37,785
3,827
183,030
846
30.431
2.294
11.391
428
3.192
4.548
7,414
2,234
5,795
24,636
2.106
3.222
95.388
9.550
53.383
22.121
2,369
103,206
407
17,000
1,094
6,163
213
1,699
2,339
4,434
1,353
3,602
11,110
1,881
1,551
62,453
6,714
38,671
13.205
1.478
60.375
229
10.035
623
3.445
119
928
1,388
2,681
877
2.330
5.239
1.685
759
43.070
4.786
30,023
8,448
989
36,873
131
6,080
326
2.157
83
556
789
1,822
611
1,974
2,733
1,214
395
29,948
3.449
23.011
5.680
729
23.749
66
3.877
179
1.295
45
330
472
1,177
394
1,393
1,332
970
198
19,110
2.151
15.106
3.732
407
14.233
41
3.894
161
Fraud ■ ■■
1,097
Embezzlement
33
Stolen property: buying,
260
566
Weapons; carrying, possessing.
etc
1,276
Prostitution and commercialized
377
Sex offenses (except forcible rape
1,666
1,039
1,172
Offenses against family and
203
Dnving under the influence
Liquor laws
16,386
1,832
12,973
Disorderly conduct
3,594
345
All other offenses (except traffic)
14,724
47
Curfew and loitering law
'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.
177
Table 35. — Female Arrests, Distribution by Age, 1987
[10,616 agencies; 1987 estimated population 202,337,000]
OfTensc charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
TOTAL
Percent distribution'
Murder and nontiegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property cnme'
Percent distribution'
Cnme Index total*
Percent distnbution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing,
etc
Prostitution and commercialized
vice
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitenng law
violations
Runaways
1,914,341
100.0
2,085
368
9,964
40,186
29,794
391,120
14,211
2,081
52.603
100.0
437.206
100.0
489,809
100.0
101,249
27,085
122,236
4,057
13,845
24,334
12,649
65,425
6,716
121,225
3,069
8,339
164,951
90,152
64,701
111,865
3,761
380,242
1,694
19,363
77,574
136,991
7.2
400,492
20.9
1,513,849
79.1
7,640
.4
27,752
1.4
101,599
5.3
82,652
4.3
93,714
4.9
87,135
4.6
79,942
4.2
78,816
4.1
76,351
4.0
32
50
611
2.019
4,348
42,704
1,967
397
138
110
1,903
6,006
9,771
106,459
6,186
624
1,947
258
8,061
34,180
20,023
284,661
8.025
1.457
1
3
14
97
458
2,740
20
69
7
6
89
395
1,147
11,664
206
116
24
41
508
1,527
2,743
28,300
1,741
212
18
25
419
1.243
1,876
19,171
1,565
105
43
18
454
1,373
1,819
22,962
1,481
56
45
17
419
1,371
1,728
21,622
1,173
66
49
15
435
1.245
1,538
19,308
766
52
78
16
428
1.328
1,321
17.134
616
57
II
470
1,529
1,205
15,155
534
44
2,712
5.2
49,416
11.3
8,157
15.5
123,040
28.1
44,446
84.5
314,166
71.9
115
.2
3,287
497
.9
13,133
3.0
2,100
4.0
32,996
7.5
1,705
3.2
22,717
5.2
1,888
3.6
26,318
6.0
1.852
3.5
24,589
5.6
1.744
3.3
21.664
5.0
1,850
3.5
19,128
4.4
2,090
4.0
16.938
3.9
52.128
10.6
131,197
26.8
358,612
73.2
3,402
.7
13,630
2.8
35,096
7.2
24,422
5.0
28,206
5.8
26,441
5.4
23,408
4.8
20.978
4.3
19,028
3.9
8,737
377
2.047
32
760
3,949
610
130
489
1.804
7
372
80
3,959
711
5,442
109
17,680
182
5,761
31,625
22,232
2,368
4,783
330
2,766
8,412
1.835
1.447
899
9.956
44
977
2,685
35,803
3,271
16,758
439
56,855
497
19,363
77,574
79,017
24,717
117,453
3,727
11,079
15,922
10,814
63,978
5,817
111,269
3,025
7,362
162,266
54,349
61.430
95,107
3,322
323,386
1.197
427
9
67
2
31
520
87
52
14
350
2
1.703
22
118
686
1,992
67
481
11
123
1,103
100
159
176
2
62
9
278
58
1.201
II
3,046
20
817
4,400
6,318
301
1,499
19
606
2,326
492
119
255
1,586
5
223
63
3.629
639
3.891
96
12.931
140
4,826
26,539
4,450
355
1.404
29
575
1,335
391
213
133
1,749
14
229
145
6,235
682
3.308
82
11.081
125
4.600
21,095
4,575
696
428
91
697
1,513
403
370
121
2,822
12
235
777
11.210
829
3,895
116
13,463
114
5.294
17,847
4,470
940
904
178
734
1.615
431
734
156
3,581
II
141
1,683
14.399
1.049
4,113
132
14.632
76
3.708
7.007
3,671
1.261
2.090
221
735
1.037
467
1.875
213
4,585
15
232
3,598
14,713
1,474
4,432
194
15,672
49
3,781
1,402
3,395
273
693
987
480
3,083
267
5,214
28
239
4.476
10,788
1,563
4,584
222
16.298
65
3,885
1,394
4.350
285
619
903
481
3,326
273
5,611
35
276
5,332
6,957
1,692
5,140
187
16,518
59
77,720
4.1
16
550
1,649
1,201
14,253
476
50
2,303
4.4
15,980
3.7
18,283
3.7
4,223
1,463
5,167
233
661
948
552
4,403
322
6,065
58
329
7,078
2,321
2,267
5,557
199
17,541
50
See footnotes at end of table.
178
Table 35. — Female Arrests, Distribution by Age, 1987 — Continued
Age
OfTcnse charged
::
;_l
;4
25-29
.lO-.M
.IS-J")
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
81,092
4.2
82,053
4.3
81,559
4.3
354.086
18.5
249,456
13.0
150,205
7.8
84,102
4.4
47,293
2.5
27,375
1.4
18,156
.9
11,597
.6
14,04«
Percent distribution*
.7
Murder and nonnegligenl
80
8
504
1.678
1.135
13.962
532
74
97
12
561
1.817
1,155
13,935
496
64
98
8
546
1.828
1.103
13.349
499
77
411
67
2,233
8,226
5.013
58.214
1,897
330
350
47
1.354
6.305
3,171
43.800
1,210
257
227
28
601
3,775
1,637
25,829
554
189
146
15
221
2.113
818
15.716
226
111
101
8
83
1.190
347
9.553
121
61
57
5
35
643
182
7,177
52
39
35
22
415
98
5,599
24
27
21
29
1
Robber)
7
236
54
4,320
10
11
11
203
45
Larceny-iheft
6,257
Motor vehicle theft
12
Arson
14
2.270
4.3
15.703
3.6
2.487
4.7
15,650
3.6
2.480
4.7
15.028
3.4
10,937
20,8
65.454
15,0
8,056
15,3
48.438
11,1
4,631
8,8
29.209
6,7
2,495
4.7
16,871
3.9
1,382
2,5
10,082
2,3
740
1,4
7.450
1.7
473
,9
5,848
1,3
254
,5
4,395
1.0
244
Percent distnbution'
Property cnme^
.5
6,328
1.4
Crime Index total*
Percent distnbution'
17,973
3.7
18.137
3,7
17,508
3.6
76,39!
15,6
56,494
11,5
33,840
6,9
19,365
4,0
11,454
2,3
8.190
1,7
5,321
1,3
4,659
1.0
6,572
1.3
4.358
1.438
5.602
207
625
891
562
5,237
373
6,546
77
331
7.540
1.898
2.498
6.682
174
17,998
82
4.355
1.511
6.266
206
639
918
555
5.218
394
6,813
73
373
7.976
1.678
2.720
6.050
179
17.934
58
1
4,359
1,374
5,199
191
634
966
609
4,831
397
6,924
91
384
8.362
1,421
2,747
6,194
204
18.087
77
18,824
6.166
28,068
848
2,776
3,787
2,588
20,174
1,608
31,272
474
1.791
38.205
5.190
14,059
24,830
739
75,978
318
13,262
4,297
22,746
506
1,772
2,446
1,822
10,309
1,120
20,574
458
1,447
28.632
3.323
11.411
14.767
529
53.293
238
7,968
2.386
16,146
355
998
1,398
1,118
3,821
452
9,914
495
970
19,529
2,216
7,759
7,690
290
32,717
123
4,415
1,135
8,952
183
417
786
688
1,153
205
4,360
389
487
12,986
1,474
5,035
3,985
137
17,907
39
2,524
435
4,357
108
237
347
367
360
85
I.8I8
320
225
8.173
1.005
3,387
2,148
93
9,822
17
1,423
247
2,031
54
126
223
220
80
38
841
213
118
4,506
555
1,916
1,231
69
5,273
11
842
99
991
24
60
123
142
50
19
399
148
87
2.899
345
1.409
749
46
3,397
5
502
48
520
14
51
55
78
24
13
181
81
31
1.664
249
808
514
33
2,059
2
624
Forgery and counterfeiting
Fraud
50
573
9
Stolen property; buying,
Vandalism
36
96
85
Prostitution and commercialized
Sex offenses (except forcible rape
34
26
Drug abuse violations
152
Gambling
Offenses against family and
children
50
42
Driving under the influence
Liquor laws
1,310
205
685
Disorderly conduct
554
27
All other offenses (except traffic)
Suspicion
Curfew and loitering law
2,892
4
Runaways
'Because of rounding, the percentages may not add to total
'Violenl cnmes 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.
179
Table 36. — Total Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1987
(10,616 agencies; 1987 estimated population 202,337,000]
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 nonnegiigent 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
Curfew and loitering law violations
Runaways
10,795,869
16,714
31,276
123,306
301,734
374.963
1,256,552
146,753
15,169
473,030
1,793,437
2,266,467
671,938
78,817
280,809
10,639
119,048
230,088
165,650
100,950
85,627
811,078
22,762
48,002
1,410,397
505,021
700,662
599,622
32,518
2,430,913
11,670
77,556
135,635
557,278
1,781,240
3,263,215
5,138,232
5.2
16.5
203
1,660
7,188
11,284
47.601
162,255
14,056
3.851
1.592
4.909
27.682
38,646
132.162
388,788
58,573
6,139
4,163
8,662
49,704
72,126
200,950
567,350
85,736
7,703
7,320
14,049
74,661
123,972
260,425
735,776
107,431
9,516
1.2
5.3
5.8
3.7
12.7
12.9
9.6
25.4
9.5
15.7
22.4
12.8
35.2
30.9
39.9
40.5
20,335
227,763
72,829
585,662
134,655
861,739
220,002
1.113.148
4.3
12.7
15.4
32.7
248.098
658,491
996,394
1,333,150
10.9
29.1
35,113
1.026
7,995
137
7,858
45,853
6.578
188
6.391
9,708
124
829
365
9,261
2,231
24,646
539
73,278
814
20,827
55,419
97,880
7,097
18,389
908
29,850
94,949
25,653
2,135
13,544
76,037
840
2,567
19,717
132,459
20,354
88.497
2,452
273,671
2,559
77,556
135.635
170,537
19,337
42,122
2.552
52.695
128,038
50,770
13,974
21,241
200,264
1,830
6,603
137,825
329,466
76,838
178,045
6,379
611,127
3,987
77,556
135,635
290,214
35.743
93,449
4,607
73,427
160,076
81,377
40,892
32,899
377,945
3.812
14,589
402,479
390,097
185,264
300,236
10,938
1,087.944
5,903
77,556
135.635
5.2
1.3
2.8
1.3
66
19.9
4.0
.2
7.5
1.2
.5
1,7
(')
1.8
.3
4.1
1.7
3.0
7.0
26.9
40.9
14.6
9.0
6.5
8.5
25.1
41.3
15.5
2.1
15.8
9.4
3.7
5.3
1.4
26.2
2.9
14.8
7.5
11.3
21.9
100.0
100.0
30.2
24.9
27.7
40.3
23.9
53.6
45.2
58.4
50.8
28.5
48.0
44.0
25.4
24.5
15.0
24.0
44.3
55.6
30.6
13.8
24.8
24.7
8,0
13.8
9.8
65.2
11.0
29.7
19.6
25.1
34.2
100.0
100.0
47,6
43.8
44.9
60.5
41.1
69.5
58.6
73.2
62.7
46.5
62,1
43.2
45.3
33.3
43.3
61.7
69.6
49.1
40.5
38.4
46.6
167
30.4
28.5
77.2
26.4
50.1
33.6
44.8
50.6
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.
*Lcss than one-tenth of 1 percent.
180
Table 37. — Total Arrests. Distribution by Sex, 1987
[10.616 agencies; ]'>%! estimated population 202, .1.17.000]
Offense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution
Total
Male
Female
TOTAL..
Murder and nonnegligeni manslaughter..
Forcible npe
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 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
10,795,869
16,714
31,276
123,306
301,734
374,963
1,256,552
146.753
15,169
473,030
1,793,437
2,266.467
671,938
78,817
280,809
10,639
119,048
230,088
165.650
100,950
85,627
811.078
22,762
48,002
1,410,397
505,021
700,662
599,622
32,518
2,430,913
11,670
77.556
135,635
8,881,528
1,914,341
82.3
17.7
100.0
14.629
30,908
113.342
261,548
345,169
865,432
132,542
13.088
2,085
368
9,964
40,186
29.794
391.120
14,211
2,081
87.5
98.8
91.9
86.7
92.1
68.9
903
86.3
12.5
1.2
8.1
13.3
7,9
31.1
9.7
13.7
420,427
1.356,231
52.603
437,206
88.9
75.6
111
24.4
1.776,658
489,809
78.4
21.6
570,689
51,732
158,573
6.582
105,203
205,754
153.001
35,525
78,911
689,853
19,693
39,663
1,245,446
414,869
635.961
487,757
28,757
2,050,671
9,976
58.193
58,061
101.249
27,085
122,236
4,057
13,845
24,334
12.649
65,425
6,716
121,225
3,069
8,339
164,951
90,152
64,701
111,865
3,761
380,242
1,694
19.363
77,574
84.9
65.6
56.5
61.9
88,4
89,4
92,4
35,2
92,2
85,1
86,5
82,6
88,3
82,1
90.8
81.3
88.4
84.4
85,5
75.0
42.8
15.1
34.4
43.5
38.1
11,6
10,6
7.6
64.8
7.8
14.9
13,5
17,4
11.7
17,9
9,2
18,7
11,6
15,6
14,5
25,0
57.2
,2
.3
1.1
2,8
3,5
11,6
1,4
,1
4,4
16,6
21,0
6.2
.7
2.5
,1
1,1
2.1
1.5
.9
.8
7.5
.2
.4
13,1
4,7
6,5
5,6
,3
22.5
.1
.7
1.3
100.0
,2
.3
1.3
2.9
3.9
9.7
1.5
,1
4.7
15.3
20.0
6.4
.6
1.8
.1
1.2
2.3
1.7
.9
7.8
.2
.4
14.0
4.7
7.2
5.5
.3
23.1
.1
.7
,7
100.0
.1
(')
.5
2.1
1.6
20.4
.7
.1
2.7
22.8
25.6
5.3
1.4
6.4
.2
.7
1.3
.7
3.4
.4
6.3
.2
,4
8.6
4.7
3.4
5,8
.2
19.9
.1
1.0
4.1
'Because of rounding, the percentages may not add to total,
^Less than one-tenth of I 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.
181
Table 38. — Total Arrests, Distribution by Race, 1987
[10,545 agencies; 1987 estimated population 201,675,000]
Offense charged
Total arrests
Total
White
Black
Amencan
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 cnme^
Property cnme^
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 ,,
10,750,309
7,386,639
3,168,129
116,916
78,625
100.0
68.7
29.5
16,578
31,208
123,152
300,652
374,079
1.254.559
146.535
15,116
471.690
1,790.289
2,261,979
671,018
78,577
280,601
10,504
118,701
229,461
165,303
100,903
85.455
809,157
22.729
47,511
1,388,975
503,706
697,701
597,997
32,468
2.424.069
11.517
77.071
134.806
7,642
15,652
43,899
174,317
250.844
825.786
87.240
11.017
8,746
15,106
77,957
121,528
117.553
401.692
56,531
3,857
131
271
560
2,865
3,090
13,315
1,296
133
159
179
736
1.942
2.592
13,766
1.468
109
100.0
100,0
100,0
100.0
100.0
100.0
100.0
100.0
45.8
502
35.6
58.0
67.1
65.8
59.5
72.9
52-4
48.4
63,3
40,4
31,4
32,0
386
25,5
241.510
1,174.887
223.337
579,633
3.827
17,834
3,016
17,935
100,0
100,0
51,2
65,6
1,416,397
802,970
21,661
20951
100,0
62.6
414,752
51,410
1 84,063
7,250
70.721
172,879
100,496
58,365
66,158
511.278
9.291
30,453
1,226,192
439.651
550.678
378.693
19,465
1,504.750
5,811
55.493
112,393
243,820
26,324
94.256
3,238
46,703
52,552
62,576
41,186
17,832
291.177
12.161
15,997
138,052
49,794
128,454
209,337
12,090
875,108
5,600
19,711
19,191
7,620
436
1.143
46
667
2,263
978
470
899
3,008
19
527
15,309
11,367
16.922
7,320
838
23,342
36
766
1,279
4,825
407
1.139
70
610
1,767
1,253
882
566
3,694
1,258
534
9,422
2,894
1,647
2.647
75
20.869
70
1.101
1.943
100.0
100.0
100.0
100,0
100,0
100,0
100.0
100,0
100.0
100,0
100,0
100,0
100,0
100,0
100,0
100,0
100,0
100,0
100,0
100,0
100,0
61
65,4
65,5
58,4
59,5
75,3
60
57,8
77 4
63,2
40,9
64.1
88,3
873
78,9
63,3
60,0
52,1
50,5
72,0
83,4
47,3
32,4
35.5
363
33,5
33,5
305
39,3
22,9
37,9
40,8
209
35,0
53,5
33,7
9,9
9.9
18.4
35,0
37.2
36.1
48.5
25.6
142
1.1
1.0
1.0
1.1
.6
.4
.4
.5
1.0
.6
.5
1.1
.4
,1
1,1
1.1
2.3
2.4
1,2
2,5
1,0
,3
1,0
,9
1,0
.6
.6
,6
,7
1,1
1,0
,7
,6
1.0
,9
,7
,5
5.5
1.1
.7
.6
.2
.4
,2
,9
,5
1,4
1,4
See footnotes at end of table.
182
Table 38. — Total Arrests, Distribution by Race, 1987 — Continued
OfTense charged
Arrests under 18
Total
While
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution
Total
While
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligcnt manslaughter ,
Forcible rape
Robber>
Aggravated assault
Burglar)
Larceny-theft
Motor vehicle theft
Ar«)n
Violent crime'
Properly crime'
Cnme 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
GambUng
Offenses against family and children
Driving under the infiuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
1,774,567
4.898
27.651
38.417
131.822
388,150
58.456
6,121
72.557
584,549
657,106
97.550
7.076
18.384
906
29.780
94.706
25.626
2.134
13.520
75.186
840
2.401
19.465
132.000
20.252
88.352
2.441
272.408
2.557
77,071
134,806
1,279,696
457,593
15,286
21,992
100.0
72.1
25.8
671
2,076
8,503
20,628
97,693
275,340
34,785
5,037
880
2,776
18,766
17,208
31,597
102.680
22,175
958
16
20
103
292
1,134
3,981
569
52
24
26
279
289
1,398
6,149
927
74
100,0
100.0
100,0
100.0
100,0
100,0
100,0
100,0
42,2
42,4
308
53,7
74,1
70,9
59,5
82.3
31,878
412,855
39,630
157,410
431
5.736
618
8,548
100.0
100.0
43.9
70.6
444,733
197,040
6.167
9.166
100.0
67.7
58,586
5,698
8.973
628
18.032
77.271
16,149
1.275
9.625
48.010
177
1,836
18,600
124.892
18.625
60.365
2,047
194,152
2,136
55,493
112,393
37,011
1.269
9.015
270
11.359
15.809
9.029
823
3.709
26.213
608
534
547
4.308
1,241
27,137
347
72,027
395
19,711
19.191
675
46
51
2
160
670
118
24
91
319
17
218
2.155
330
501
24
1.656
17
766
1.279
1,278
63
345
6
229
956
330
12
95
644
55
14
100
645
56
349
23
4,573
9
1. 101
1.943
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
60,1
80,5
48,8
69,3
60,6
81,6
63,0
59,7
71,2
63.9
21,1
76.5
95.6
94.6
92.0
68.3
83.9
71.3
83.5
72.0
83.4
55.3
56.7
67.9
44.8
24.0
26.5
37.9
15.7
54.6
26,9
30,0
37,9
17,9
49,0
29,8
38,1
16,7
35,2
38,6
27,4
34.9
72.4
22,2
2,8
3,3
6,1
307
14,2
26,4
15,4
25,6
14.2
1,2
1.5
.5
1.0
.8
1.1
1.6
1.6
1,2
,9
1.5
1.3
.9
1.9
.7
.8
1.0
1.3
,6
,7
,9
6,5
,6
.5
.5
.3
.4
.9
1.7
.4
1.4
1.4
Sec footnotes at end of table
183
Table 38. — Total Arrests, Distribution by Race, 1987 — 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
or
Alaskan
Native
Asian
Pacific
Islander
TOTAL .
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assauh
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
OfTenses against family and children
Driving under the innuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ....
Suspicion
Curfew and loitering law violations .
Runaways
8,975,742
6,106,943
2,710,53«
101,630
56,633
100.0
30.2
15,087
26,310
95,501
262,235
242,257
866,409
88,079
8,995
399,133
1,205,740
1,604,873
573,468
71,501
262,217
9,698
88,921
134,755
139,677
98,769
71,935
733,971
21,889
45,110
1,369,510
371,706
677,449
509,645
30,027
2,151,661
8,960
6,971
13,576
35,396
153,689
153,151
550,446
52,455
5,980
7,866
12,330
59,191
104,320
85,956
299,012
34,356
2,899
115
251
457
2,573
1,956
9,334
727
81
135
153
457
1,653
1,194
7,617
541
35
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
46.2
51.6
37.1
58.6
63.2
63.5
59.6
66.5
52.1
46.9
62.0
39.8
35.5
34.5
39.0
32.2
209,632
762,032
183,707
422,223
3,396
12,098
2,398
9,387
100.0
100.0
52.5
63.2
971,664
605,930
15,494
11,785
100.0
60.5
356,166
45,712
175,090
6,622
52,689
95,608
84,347
57,090
56,533
463,268
9,114
28,617
1,207,592
314,759
532,053
318,328
17,418
1,310,598
3,675
206,809
25,055
85,241
2,968
35,344
36,743
53,547
40,363
14,123
264,964
11,553
15,463
137,505
45,486
127,213
182,200
11,743
803,081
5,205
6,945
390
1,092
44
507
1,593
860
446
808
2,689
19
510
15,091
9,212
16,592
6,819
814
21.686
19
3,548
344
794
64
381
811
923
870
471
3,050
1,203
520
9,322
2,249
1,591
2,298
52
16,296
61
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
62.1
63.9
66.8
68.3
59.3
70.9
60.4
57.8
78.6
63.1
41.6
63.4
88.2
84.7
78.5
62.5
58.0
60.9
41.0
46.0
35.0
37.8
36.1
35.0
32.5
30.6
39.7
27.3
38.3
40.9
19.6
36.1
52.8
34.3
lOO
12.2
18.8
35.8
39.1
37.3
58.1
1.1
1.0
1.2
.5
.4
.5
.6
1.2
.6
.5
1.1
.4
.1
1.1
1.1
2.5
2.4
1.3
2.7
1.0
.2
.6
5
.3
.7
.4
.6
.7
.9
.7
.4
5.5
1.2
.7
.6
.2
.5
.2
.8
.7
'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 ofTenses of burglary. larceny-theft, motor vehicle theft, and arson.
'Includes arson.
184
Table 39. — aty Arrest Trends, 1986-1987
[6,239 agencies; 1987 estimated population 12'»,79<),000]
Offense charged
Total all ages
1986
1987
Percent
change
Number of persons arrested
Under 18 years of age
1986
Percent
change
18 years of age and over
1986
1987
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 traRic)
Suspicion (not included in totals)
Curfew and loitering law violations
Runaways
7,807,658
12,213
23,090
108,674
212.558
269.728
980.617
101.820
10,881
356.535
1,363.046
1.719.581
7,943,376
12.170
22.830
105.591
222.832
267.147
1.008.207
113.501
10.700
363,423
1.399,555
1.762.978
476,237
508.440
53,375
55.684
145.846
148.718
6.027
6.558
86,665
91.071
175,840
172.981
133,059
127.971
97,117
92,741
61.552
62,207
562.004
624,762
23.939
19,523
21.057
23,136
843.500
815,948
365,549
369,095
616,799
572.101
522.158
502.41 1
30.581
29.975
1.698.852
1.787,064
10.321
9,850
67.087
69,416
100,833
100,596
+1.7
1,425,912
1,412,802
-.9
6,381,746
6,530.574
-.4
-1.1
-2.8
+4.8
-1.0
+2.8
+ 11.5
-1.7
1.207
3.865
26.578
29,488
98,710
320,128
40.728
4,596
1.285
3.816
24.659
30.304
94,459
319,775
46,585
4.621
+6,5
-1.3
-7.2
+2.8
-4.3
-.1
+ 14.4
+.5
11,006
19,225
82,096
183,070
171,018
650.489
61.092
6.285
10.885
19,014
80,932
192,528
172,688
688,432
66.916
6.079
+ 1.9
+27
61,138
464,162
60,064
465,440
-1.8
+ .3
295.397
898.884
303.359
934.115
+2.5
525.300
525.504
(')
1.194,281
1,237,474
+68
+4.3
+2.0
+8.8
+5.1
-1.6
-3.8
-4.5
+ 1.1
+ 11.2
-18.4
+9.9
-3.3
+ 1.0
-7.2
-3.8
-2,0
+5.2
-4.6
+3.5
-.2
74,862
5,323
16,290
520
23,559
75,971
22,445
2,209
10,415
58,260
654
2,109
14,292
98,366
21,449
77,334
2,021
226,613
2.099
67,087
100.833
78.795
5,499
17,023
601
24,498
72,515
21,182
1,960
9,978
62,225
706
2,047
12,252
96,013
16,927
73,995
1.887
219.183
1.938
69.416
100.596
+ 5.3
+ 3.3
+4.5
+ 15.6
+4.0
-4.5
-5.6
-11.3
-A.2
+68
+ 8.0
-2.9
-14.3
-2.4
-21.1
^.3
-6.6
-3.3
-7.7
+3.5
-.2
401.375
48.052
129.556
5.507
63,106
99,869
110.614
94.908
51.137
503.744
23.285
18,948
829.208
267.183
595,350
444,824
28,560
1.472,239
8,222
429,645
50,185
131,695
5,957
66,573
100,466
106,789
90,781
52,229
562,537
18,817
21,089
803,696
273,082
555,174
428,416
28,088
1,567,881
7,912
+2.3
-1.1
-1,1
-14
+5.2
+ 1.0
+4.2
+9.5
-3.3
+27
+3.9
+3.6
+7.0
+4.4
+ 1.7
+8.2
+ 5.5
+.6
-3.5
^.3
+2.1
+ 11.7
-19.2
+ 11.3
-3.1
+2.2
-6.7
-3.7
-17
+5.5
-3.8
'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 one percent.
185
Table 40. — City Arrest Trends, Sex, 1986-1987
[6.239 agencies; 1987 estimated population 129.799.000]
Males
Females
Offense charged
Total
Under 18
Total
Under 18
1986
1987
Percent
change
1986
1987
Percent
change
1986
1987
Percent
change
1986
1987
Percent
change
TOTAL
6,434,513
6,519,240
+1.3
1,110,714
1.094,982
-1.4
1,373,145
1,424,136
+3.7
315,198
317,820
+.8
Murder and nonnegligent
10,740
22,844
100,132
183,443
247,752
677,720
92.197
9,354
10.679
22.555
97.004
192.196
245.105
689.631
102.683
9,175
-6
-1.3
-3.1
+4.8
-1.1
+ 1.8
+ 11.4
-1.9
1.123
3.794
24.742
24,827
91.351
234.016
36.477
4.158
1.186
3.726
22.956
25,531
87,390
230,761
41,834
4,149
+ 5.6
-1.8
-7.2
+2.8
^.3
-1.4
+ 147
-2
1.473
246
8.542
29.115
21.976
302.897
9.623
1.527
1.491
275
8.587
30.636
22.042
318.576
10.818
1.525
+ 1.2
+ 11-8
+ .5
+5.2
+ .3
+5.2
+ 12.4
-.1
84
71
1.836
4.661
7,359
86,112
4.251
438
99
90
1.703
4.773
7.069
89.014
4,751
472
+ 17.9
+26.8
-7.2
+2.4
-3.9
Larceny-theft
Motor vehicle theft
+3.4
+ 11.8
Arson
+7.8
317.159
1,027.023
322,434
1.046.594
+ 1.7
+ 1.9
54.486
366.002
53,399
364,134
-2.0
-.5
39.376
336.023
40.989
352,961
+4.1
+5.0
6.652
98.160
6.665
101.306
+ .2
+3.2
1,344,182
1.369.028
+ 1.8
420.488
417.533
-.7
375.399
393,950
+4.9
104,812
107,971
+3.0
404,541
35,183
89.016
3.630
76.653
157.375
122.904
33.860
55.921
483.066
19.956
15,968
742,123
305,835
561,780
427,241
26,969
1,436.307
8.802
50.072
41.931
431.647
36.438
90.375
3,840
80,429
154.527
117.858
32.553
56.736
532.825
16.939
17.199
716.226
305.186
519.688
406.288
26.696
1.510.114
8.400
52.313
42.335
+6.7
+3.6
+ 1.5
+5.8
+4.9
-1.8
^.1
-3.9
+ 1.5
+ 10.3
-15.1
+7.7
-3.5
-.2
-7.5
^.9
-1.0
+ 5.1
^.6
+4.5
+ 1.0
57,868
3,577
12,428
303
21,426
69.151
20.996
774
9.664
50.320
619
1.267
12.383
73.403
18,166
63,377
1,645
180,856
1,645
50,072
41.931
60.709
3,599
12,726
381
22,234
66.000
19.642
643
9.314
54.404
680
1.209
10.562
70.462
14.240
60.179
1.556
174.261
1.548
52.313
42.335
+4.9
+ .6
+2.4
+25.7
+ 3.8
-4.6
-6.4
-169
-3.6
+ 8,1
+9.9
^.6
-14.7
^.0
-21.6
-5.0
-5.4
-3.6
-5.9
+4.5
+ 1.0
71.696
18.192
56.830
2.397
10.012
18.465
10.155
63.257
5.631
78.938
3.983
5.089
101.377
59.714
55.019
94.917
3.612
262,545
1,519
17,015
58,902
76,793
19,246
58,343
2,718
10,542
18.454
10,113
60,188
5,471
91,937
2,584
5,937
99,722
63,909
52,413
96,123
3,279
276,950
1.450
17.103
58.261
+ 7.1
+5.8
+2.7
+ 13.4
+6.3
-.!
-.4
^.9
-2.8
+ 16.5
-35.1
+ 16.7
-1.6
+7.0
-4.7
+ 1.3
-9.2
+ 5.5
^.5
+.5
-1.1
16,994
1,746
3,862
217
2,133
6.820
1.449
1,435
751
7,940
35
842
1,909
24,963
3.283
13.957
376
45.757
454
17,015
58,902
18,085
1,900
4,297
220
2.254
6.515
1.540
1.317
664
7.821
26
838
1.690
25.551
2.687
13.816
331
44.922
390
17.103
58.261
+6.4
Forgery and counterfeiting
+8.8
+ 11.3
Embezzlement
Stolen property; buying, receiving,
Vandalism
Weapons; carrying, possessing, etc...
Prostitution and commerciahzed
+ 1.4
+5.1
-4.5
+6.3
-8.2
-11.5
Drug abuse violations
-1.5
-25.7
Offenses against family and
children
-.5
-11.5
+2.4
-18.2
-1.0
-12,0
Ali other offenses (except traffic)
Suspicion (not included in totals)
-1.8
-141
+.5
-1.1
'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.
186
Table 41. — City Arrests. Distribution by Age, 1987
(7,222 agencies; 1987 estimated population 138,128.000]
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Offense charged
Under
10
10-12
13-14
15
16
17
18
19
20
TOTAl
8,385,115
100.0
480,882
5.7
1,499,996
17.9
6,885.119
82.1
41,428
.5
118,591
1.4
320,863
3.8
272,062
3.2
353,289
4.2
393,763
4.7
401,298
4.8
394,404
4.7
371,617
Percent distribution'
4.4
Murder and nonnegligent
12,580
24,133
108,461
233,049
278,660
1.058.714
117,418
11,382
172
1,397
6,778
9,287
37,095
144,865
11,778
3,141
1,322
4.015
25.350
31.741
99.251
338.972
48.427
4.870
11.258
20.118
83,111
201,308
179,409
729,742
68,991
6,512
10
94
281
680
3.405
14,055
205
880
18
303
1,386
2,306
9,670
43,352
1,450
950
144
1.000
5,111
6,301
24,021
87,447
10,123
1,311
183
734
4,823
5,732
18.843
58.816
11.463
698
367
902
6,583
7,899
22,030
58,875
13,311
554
600
982
7.166
8,823
21.282
66,416
11,875
477
690
949
6.941
8,556
19,048
58,324
8,765
417
695
946
6.365
8,781
15,690
48,925
7,231
373
637
Forcible rape
Robbery
Aggravated assault
1.026
5.831
9.018
Burglar>
13.359
41,324
Motor vehicle theft
5,581
329
Violent crime'
378,223
100.0
1.476,174
100.0
17,534
4.7
196,880
13.3
62,428
15.5
491.520
33.3
315,795
83.5
984,654
66.7
1,065
.3
18,546
1.3
4,013
1.1
55.432
3.8
12,556
3.3
122,902
8.3
11,472
3.0
89,820
6.1
15,751
4.2
104,770
7.1
17,571
4.6
100.050
6.8
17,135
4.5
86,554
5.9
15,787
4.4
72,220
4.9
15.512
4.4
60,593
Percent distribution'
4.1
Crime Index total*
Percent distribution'
1,854,397
100.0
214,514
11.6
553.948
29.9
1.300.449
70.1
19,611
1.1
59,445
3.2
135,458
73
101,292
5.5
120.521
5.5
117.621
6.3
103,690
5.6
89,007
4.8
77,105
4.2
539.898
58,427
154.852
6.974
95.190
186.911
135.014
95,047
65,068
643,554
19,948
24,756
871,710
398,676
589,442
541.789
30.184
1,881.906
10,321
74,994
105.047
30,412
894
7,856
131
7,000
38.858
5,811
181
5.097
8.265
121
732
245
7,655
1,960
22,941
436
62,742
633
20,159
44,239
83.250
5.783
17.200
786
25.680
78,019
22,498
2,019
10,560
64.464
786
2.136
13,115
104,991
17,308
81,501
1,937
230,872
2,102
74,994
106,047
456,648
52,644
137,562
6,188
69,510
108,892
112,516
93,028
54,508
579,090
19.162
22.620
858.595
293.685
572.134
460.288
28.247
1,551,034
8,219
2,551
32
188
9
302
6,329
237
11
542
132
2
176
55
199
79
1,832
23
6,371
57
744
1,936
8,188
160
1,854
42
1,335
12,109
1,072
11
1,408
716
15
137
22
530
188
5,619
65
14,151
134
3,521
7,858
19,573
702
5.814
80
5.362
20.420
4.502
159
3.147
7.417
104
419
158
6.925
1.593
15.490
348
42.210
442
15,894
34,445
15,188
844
5,613
67
4,942
12,443
4,251
270
1,854
11,038
137
453
545
14,130
2,658
13,980
355
37,833
492
16,335
27,322
17.995
1.575
1,368
221
6.589
13,543
5,565
527
1,814
19,062
219
545
3,514
32,471
4,738
19,945
541
56,891
526
20,970
23,947
19,655
2,369
2,353
367
7.149
13.175
6.770
1.041
1,795
25.099
309
396
8,811
50,735
7,942
24,635
605
73,406
451
17,530
10,539
18.443
2.862
3.799
379
7,036
10,117
7,440
2,551
1,871
32,401
285
781
19,801
51,985
13,787
26,767
1,231
85,666
406
19,582
3,169
5,111
433
6,320
8,558
7,059
4,056
1,950
34,097
296
768
25,702
53,674
15,348
27,022
1,278
90,522
452
20,486
Forgery and counterfeitiiig
3,005
5,723
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
457
4,957
7,279
6,397
4,477
Sex offenses (except forcible rape
and prostitution)
2,047
33,413
330
Offenses against family and
children
Driving under the influence
811
30,501
39.387
Drunkenness
16,502
Disorderly conduct
27,028
1,009
All other offenses (except irafTic)
90,311
392
Cuiiew and loitering law
See footnotes at end of table
187
Table 41. — City Arrests, Distribution by Age, 1987 — 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 nonnegtigent
manslaugliter
Forcible rape
Robbery
Aggravated assault
Burglary
Larccny-Ihcft
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 IrafTic)
Suspicion
Curfew and loitering law
violations
Runaways
369.612
4.4
637
1,010
5.839
9.762
12.066
37.832
5,006
297
17.248
4.6
55,201
3.7
72,449
3.9
23,054
3,008
6,605
390
4,693
7,141
6,499
5,831
2,116
35,188
384
989
39,367
15,527
21,950
29,294
1,061
93.630
436
363,362
4.3
358,838
4.3
3SI,I88
4.2
1,508,801
18.0
1,076,180
12.8
681,257
389,635
4.6
232,328
2.8
149,713
1.8
103.369
1.2
65,948
638
1,072
5,477
9,919
11.207
35.685
4.426
329
587
1.048
5.238
10,078
10,437
34,111
4,023
381
576
1.068
5,121
10.122
9,677
32,809
3,598
324
2,295
4,880
20,204
46,883
39,441
144,444
13,826
1,279
1,717
3,429
11,997
34,916
25,380
112,208
8,438
1,026
1,120
2,062
5.908
22,013
12.725
72.417
4,346
709
651
1,164
2,340
12,899
5,489
38,920
1,995
410
369
603
976
7,435
2,443
22,788
886
246
224
323
432
4,461
1.170
15.784
467
163
173
251
244
2,799
612
12,135
222
109
17,106
4.5
51,647
3.5
16,951
45
48,952
3.3
16.887
4,5
46.408
3 1
74.262
196
198,990
13.5
52,059
13.8
147.052
100
31,103
8.2
90,197
6.1
17,054
45
46,814
3.2
9,383
2.5
26,363
1.8
5,440
1.4
17,584
1.2
3,467
.9
13,078
.9
68,753
3.7
65.903
3.6
63.295
3.4
273,252
14.7
199,111
107
121,300
6.5
63,868
3.4
35,746
1.9
23,024
1.2
16,545
.9
23,971
2,923
6,704
360
4,048
6,502
6,256
6,625
2,280
35,301
442
1,051
40,970
12,379
22,005
28,735
1,081
92,541
435
24,668
3,043
7,307
335
3,744
6,236
6,164
6,754
2,396
35,202
444
1,058
43,103
10,760
22,323
26,902
1,039
91,045
412
24,633
2.902
7,153
313
3,538
5,938
5,831
6,305
2,358
34,556
496
1,093
43,522
9.337
22.672
26,145
976
89.680
445
113,252
12,587
32,271
1,422
14,377
24,236
23,777
27,130
11,407
147,288
2,665
5,211
196,068
31,275
110,388
102,913
5,331
372,017
1,934
79,003
9,146
25,253
861
9,417
15,206
16,611
15,299
9,299
97,100
2,600
4,294
143,109
20,271
93,954
66.945
4,733
262.424
1,544
47,771
5,277
17,322
583
5,549
8,428
10,488
7,006
6,507
52,655
2,395
3,027
97,950
13,617
71,606
40,634
3,966
164,279
897
26,558
2,430
9,645
295
2,676
4,247
6,342
3,157
4,277
22,705
2,141
1,690
64,932
8.751
49.929
23.042
2.425
90.136
389
14.686
1.050
4,849
161
1,444
2,097
3,729
1,578
2,669
10,005
1,882
813
42,080
6,082
36.292
13,430
1,527
51,991
217
8,573
601
2,514
87
755
1,261
2,281
868
1,709
4,721
1,646
454
28,276
4,216
27,885
8,427
1.038
31,254
123
5,219
306
1,580
58
446
704
1,546
621
1,451
2,390
1,160
282
19,868
3,005
21,464
5,651
758
20,257
58
90
147
95
1,808
321
8,962
73
70
2,140
.6
9,426
6
11,566
.6
3,285
169
875
28
286
416
993
388
998
1,149
913
132
12,721
1,888
13,934
3,733
433
12,003
38
67,5«9
.8
159
140
103
1,858
344
13,073
108
50
2,260
.6
13,575
.9
15,835
.9
3,464
166
951
26
224
526
1,103
382
1,173
919
1,083
166
10,625
1,531
12,095
3,620
361
13,278
41
'Because of rounding, the percentages may not add to total.
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
188
Table 42. — City Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1987
(7,222 agencies; I'S? eslimatcd [xipulalion 138,128.000)
Offense charged
Total
all ages
Number of persons arrcsled
Under 15
Under 18
Under 21
Under 25
Percent of total all ages
Unde
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robber>'
Aggravated assault
Burglar}'
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime"
Cnme Index totaP
Other assaults
Forger) 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
8.385,115
12.580
24,133
108.461
233.049
278.660
1,068.714
117,418
11.382
378,223
1,476.174
1.854.397
539.898
58.427
154,862
6.974
95,190
186,911
135,014
95,047
65,068
643,554
19,948
24,756
871,710
398,676
589,442
541,789
30,184
1,881,906
10,321
74,994
106,047
480,882
1,499,996
2,667.315
4,110.315
5.7
17.9
172
1,397
6.778
9,287
37.096
144.865
11.778
3.141
1.322
4.015
25.350
31.741
99.251
338.972
48.427
4.870
3.344
6.936
44.487
58.096
147.348
487.546
70,004
5.989
5.782
11.134
66.162
97.977
190.735
627.983
87,057
7,320
1.4
5.8
6.2
4.0
13.3
13.6
10.0
27.6
10.5
16.6
23.4
13.6
35.6
31.7
41.2
42.8
17.634
196,880
62,428
491,520
112,863
710,887
181,055
913.095
4.7
13.3
16.5
33.3
214,514
553,948
823,750
1,094.150
11.6
29.9
30,412
894
7,856
131
7,000
38,858
5,811
131
5,097
8,265
121
732
245
7,655
1,960
22,941
436
62,742
633
20.159
44,239
83,250
5,783
17,200
786
25,680
78,019
22,498
2,019
10,560
64,464
786
2,136
13,115
104,991
17,308
81.501
1,937
230,872
2,102
74,994
106,047
141,761
14,819
31.833
2,055
43,993
103,973
43.394
13.103
16.428
164.375
1,697
4.496
89,119
260,037
62,945
162,318
5,455
497,371
3,352
74,994
106,047
238,087
26,695
59,602
3,453
60,016
129,790
68.144
38,618
25.578
304,622
3,463
8,687
256,081
308,040
151,895
273,394
9,612
864,267
5,080
74.994
106.047
5.6
1.5
5.1
1.9
7.4
20.8
4.3
.2
7.8
1.3
.6
3.0
(')
1.9
.3
4.2
1.4
3.3
6.1
26.9
41.7
15.4
9.9
11.1
11.3
27.0
41.7
16.7
2.1
16.2
10.0
3.9
8.6
1.5
26.3
2.9
15.0
5.4
12.3
20.4
100.0
100.0
31.8
26.6
28.7
41.0
24.9
52.9
45.6
59.6
52.6
29.8
48.2
26.3
25.4
20.6
29.5
46.2
55.6
32.1
13.8
25.2
25.5
8.5
18.2
10.2
65.2
107
300
18.1
26.4
32.5
100.0
100.0
49.0
46.0
46.1
61.0
42.0
68.4
58.8
74.1
64.3
47.9
619
59.0
44.1
45.7
38.5
49.5
63.0
69.4
50.5
40.6
39.3
47.3
17.4
35.1
29.4
77.3
25.8
50.5
31.8
45.9
49.2
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.
189
Table 43. — City Arrests, Distribution by Sex, 1987
[7.222 agencies; 1987 estimated population 138,128,000]
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 commerciaHzed vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
8,385,115
12,580
24,133
108,461
233,049
278,560
1,068,714
117,418
11,382
378,223
1.476,174
1,854,397
539,898
58,427
154,862
6,974
95.190
186,911
135,014
95.047
65.068
643.554
19.948
24,756
871.710
398,676
589,442
541,789
30.184
1.881.905
10.321
74.994
106.047
6,876,652
1.508.4O
82.0
18.0
11,021
23,849
99,653
200.950
255.974
730,853
106,232
9,800
1,559
284
8,808
32,099
22,686
337,861
11,186
1.582
87.6
98.8
91.9
86.2
91.9
68.4
90.5
86.1
12,4
1.2
8.1
13.8
8.1
31.6
9.5
13.9
335,473
1.102,859
42,750
373.315
88.7
74.7
11.3
25.3
1,438,332
416.065
77.6
22.4
458.344
38.224
93.891
4,102
84,027
166,964
124,301
33.450
59,382
548.887
17.310
18.456
764.865
328.651
535.377
439.108
26.868
1.586.285
8.764
56.363
44,700
81,554
20,203
60,971
2,872
11.163
19.947
10,713
61.597
5.586
94,667
2,538
6,300
106,844
70,025
54,055
102,681
3.316
295,621
1.557
18.631
61.347
84.9
65.4
50.5
58.8
88.3
89.3
92.1
35.2
91.3
85.3
86.8
74.6
87.7
82.4
90.8
81.0
89.0
84.3
84.9
75.2
42.2
15.1
34.6
39.4
41.2
11.7
107
7.9
64.8
8.7
14.7
13.2
25.4
12.3
17.6
9.2
19.0
11.0
15.7
15.1
24.8
57.8
100.0
.2
.3
1.3
2.8
3.3
12.7
1.4
1
4.5
17.6
22,1
6.4
.7
1.8
.1
1.1
2.2
1.6
1.1
.8
7.7
.2
.3
10.4
4.8
7.0
5.5
.4
22.4
.1
.9
1.3
100.0
.2
.3
1.4
2.9
3.7
10.6
1.5
.1
4.9
16.0
20.9
6.7
.6
1.4
.1
1.2
2.4
1.8
.5
.9
8.0
.3
.3
11.1
4.8
7.8
6.4
.4
23.1
.1
100.0
.1
.6
2.8
24.7
27.6
5.4
1.3
4.0
.2
.7
1.3
.7
4.1
.4
6.3
.2
.4
7.1
4.6
3.6
6.8
.2
19.6
.1
1.2
4.1
'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.
190
Table 44. — City Arrests, Distribution by Race, 1987
(7.187 agencies; 1987 eslimaled population 137.831.000]
Offense charged
Tolal arrests
Total
White
Black
American
Indian
Alaskan
Native
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-thefi
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 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
8,362,736
12.554
24.089
108,342
232,123
278.166
1,067,174
117,279
11,353
377,108
1,473,972
1.851,080
539,168
58,257
154,733
6,961
94,913
186,373
134,714
95,008
64,960
642,117
19.915
24,346
867,646
397,610
587,334
540,310
30,139
1,876,928
10,292
74,550
105.382
5,462,663
2,740,348
93,914
65,811
100.0
65.3
4.714
10.743
36.323
125.208
174.523
687.816
64.530
7,861
7.622
13.020
70.831
103.205
99.327
354.944
50,530
3.293
87
181
501
2.073
2.201
12.333
1,022
107
131
145
687
1,637
2,115
12,081
1,197
92
100,0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
37,5
44.6
33.5
53.9
62,7
64.5
55.0
69.2
176.988
934.730
194.678
508.094
2.842
15,663
2,600
15,485
100.0
100.0
46,9
63,4
1.111.718
702.772
18.505
18,085
100.0
60.1
313,906
36.678
96,252
4,640
52,868
135.232
76.558
54.473
48,094
383.155
7,308
15,108
754,507
342,916
453,074
331,643
17,680
1,082,775
4.748
53.434
85.896
214.936
20,914
56.958
2.242
41,053
47,715
56,333
39,240
15,686
253,845
11,440
8,385
97,167
42.270
118.153
199.800
11.569
757.880
5.462
19.607
16.921
6,202
330
549
28
473
1,898
751
438
704
2,109
8
377
9,542
10,112
14.704
6,400
822
18,104
16
755
t,087
4,124
335
974
51
519
1,528
1,072
857
476
3,008
1,159
476
6,430
2,312
1,403
2,467
68
18,169
66
754
1,478
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
58.2
63.0
62.2
667
55.7
72.6
568
57.3
74,0
59,7
367
62,1
87.0
86.2
771
61.4
58,7
57.7
46.1
71.7
81.5
32.1
60.7
54.0
65,4
44,5
35,7
33.3
43.1
29.0
51.6
345
38.0
39.9
35.9
36.8
32.2
43.3
25.6
41.8
41.3
241
39.5
57.4
34.4
11.2
10.6
20.1
37.0
38.4
40.4
53.1
263
161
1.1
1,0
1.1
.3
(')
1.5
1.1
2.5
2.5
1.2
2.7
1.0
.2
1.0
1.0
1.0
.6
,6
,7
,8
1.1
1.0
.7
I.I
1.0
,7
,5
5,8
2.0
.7
,6
,2
.5
.2
1.0
.6
1.0
1.4
See footnotes at end of table.
191
Table 44. — City Arrests, Distribution by Race, 1987 — Continued
Offense charged
Arrests under 18
Total
While
Black
Ameiican
Indian
Alaskan
Native
Asian
Pacific
Islander
Percent distinbution
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 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 traffic)
Suspicion
Curfew and loitering law violations
Runaways
1,494,434
1,321
4,006
25,321
31,520
99,003
338,404
48,341
4,860
62,168
490,608
552,776
82,930
5,765
17,197
785
25,626
77,810
22,471
2,018
10,536
63,758
786
1,973
13,027
104,610
17,245
81,373
1,927
229,788
2,101
74,550
105,382
1,043,176
419.158
13,307
18,793
100.0
69.8
482
1,526
7,421
16,010
69,553
235,973
26,864
3,898
808
2,441
17,544
15,019
27,504
93,302
20,249
858
9
15
94
241
811
3,713
471
43
22
24
262
250
1,135
5,416
757
61
100.0
100,0
100.0
100.0
100.0
100.0
100.0
100.0
36.5
38.1
29.3
50.8
70.3
69.7
55.6
80.2
25,439
336,288
35,812
141,913
359
5,038
558
7,369
100.0
100.0
40.9
68.5
361,727
177,725
5,397
7,927
100.0
65.4
47,809
4,586
8,038
540
14,822
61,801
13,694
1,195
7,079
38,904
152
1,452
12,384
98,355
15,806
54,454
1,604
157,733
1,711
53,434
85,896
33,474
1,090
8,774
238
10,466
14,574
8,377
788
3,310
24,091
582
494
422
3,857
1,119
26,142
284
66,444
379
19,607
16,921
573
1,074
100.0
39
50
100.0
48
337
100.0
2
5
100.0
135
203
100.0
579
856
100.0
100
300
100.0
24
69
270
16
140
1,918
272
448
19
1,413
3
755
1,087
78
493
52
11
81
480
43
329
20
4,198
8
754
1,478
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
57.6
79.5
46.7
68.8
57.8
79.4
60.9
59.2
67.2
61.0
19.3
73.6
95.1
94.0
91.7
66.9
83.2
68.6
81.4
71.7
81.5
28.0
61.2
60.9
69.3
47.6
27.8
27.6
41.9
17.7
57.6
28.9
32.2
40.4
18.9
51.0
30.3
40.8
18.7
37.3
39.0
31.4
37.8
74.0
25.0
3.2
3.7
6.5
32.1
14.7
28.9
18.0
26.3
16.1
1.0
1.3
1.7
.6
1.0
.8
I.l
1.6
1.6
1.3
.9
1.5
1.4
1.3
.9
2.0
.6
1.1
1.3
.5
.7
.8
6.6
.6
.6
.5
.3
.4
I.O
1.8
.4
1.0
1.4
See footnotes at end of table.
192
Table 44. — City Arrests, Distribution by Race, 1987 — Continued
OfTense charged
Arrests 18 and over
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
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
6,8«8,302
11.233
20,083
83.021
200.603
179.163
728,770
68.938
6.493
314.940
983.364
1.298,304
456,238
52,492
137,536
6,176
69,287
108,563
112,243
92.990
54,424
578.359
19,129
22,373
854,619
293,000
570,089
458.937
28.212
1.647,140
8,191
4,4I9,4«7
2.321,190
80.607
47.018
100.0
64.3
4.232
9.217
28.902
109.198
104,970
451.843
37,666
3,963
6.814
10.579
53.287
88,186
71,823
261,642
30,281
2,435
78
166
407
1,832
1,390
8,620
551
64
109
121
425
1,387
980
6.665
440
31
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
37.7
45.9
34.8
54.4
58.6
62.0
54.6
61.0
151,549
598,442
158,866
366,181
2.483
10.625
2.042
8.116
100.0
100.0
48.1
60.9
749,991
525.047
13,108
10,158
100.0
57.8
266,097
32,092
88.214
4,100
38,046
73.431
62.864
53,278
41,015
344,251
7,156
13.656
742.123
244.561
437,268
277,189
16,076
925,042
3,037
181.462
19.824
48.184
2.004
30.587
33,141
47,956
38.452
12,376
229.754
10.858
7.891
96.745
38,413
117,034
173,658
11.285
691.436
5.083
5,629
291
501
26
338
1.319
651
414
635
1,839
8
361
9,402
8,194
14.432
5.952
803
16.691
13
3.050
285
637
46
316
672
772
846
398
2.515
1.107
465
6.349
1.832
1.355
2.138
48
13.971
58
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
58.3
61.1
64.1
66.4
54.9
67.6
56.0
57.3
75.4
59.5
37.4
61.0
86.8
83.5
76.7
60.4
57.0
56.2
37.1
33.8
60.7
52.7
64.2
44.0
40.1
35.9
43.9
37.5
50.4
37.2
40.4
39.
37.8
35.0
32.4
44.1
30.5
42.7
41.4
22.7
39.7
56,
35.3
11.3
13.1
20.5
37.8
40.0
42.0
62.1
1.2
1.1
1.0
1.2
.3
(')
1.6
1.1
2.8
2.5
1.3
2.8
1.0
.2
1.0
.6
.5
.7
.5
.9
.6
.5
.7
.4
5.8
2.1
.7
.6
.2
.5
.2
'Because of rounding, the percentages may not add to total.
^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.
'Less than one-tenth of I percent.
193
Table 45. — Suburban County Arrest Trends, 1986-1987
[992 agencies; 1987 eslimaled population 36,787,000]
Offense charged
Number of persons arrested
Total all ages
1987
Percent
change
Under 18 years of age
1986
1987
Percent
change
1 8 years of age and over
1986
1987
Percent
change
TOTAL.
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle thefi
Anon
Violent cnme' ...
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 loitenng law violations..
Runaways
1,409,157
2,590
4,665
13,340
44,745
61,183
128,051
18,787
2.319
65,340
210,340
275.680
5,703
1,471,280
2,507
4,443
11,221
43,886
58,567
130,472
20,118
2,196
62.057
211.353
273.410
77,122
78,822
11,026
11,551
74,153
71,631
2,549
2.337
14,580
15.790
25,329
25,465
19,932
20,132
5,028
13,079
12,947
89,758
106,626
2,444
1,778
13,449
12,808
300,879
305,105
46,289
51,117
63,754
63,803
31,397
31,089
1.408
1,700
318,695
358,484
505
678
1,181
1,239
20,750
20,418
+4.4
189,246
187,361
-1,0
1,219,911
1,283,919
-3.2
^.8
-15.9
-1.9
^.3
+ 1.9
+7.1
-5.3
154
617
2,014
5,066
22,007
37,368
6.675
861
178
634
1,895
5,239
20,967
36,575
7,032
848
+ 15.6
+2.8
-5.9
+ 3.4
-A J
-2.1
+5.3
-1.5
2,436
4,048
11,326
39,679
39,176
90,683
12,112
1,458
-5.0
+.5
7,851
66,911
7,946
65,422
+ 1.2
-2.2
57,489
143,429
74.762
73.368
-1,9
200,918
+2.2
+4.8
-3.4
-8.3
+ 8.3
+.5
+ 1.0
-ll.i
-1.0
+ 18.8
-27.3
^.8
+ 1.4
+ 104
+.1
-1.0
+207
+ 12.5
+ 34.3
+4.9
-1.6
10.869
805
822
115
2,686
11,049
2,488
2,102
7,771
50
165
3,634
13,874
2,137
4,725
337
28,844
206
1,181
20 7 50
10782
779
793
100
2,927
10,902
2,445
75
1,963
8,074
31
203
3,245
14,393
1,736
4,428
404
29.056
351
1.239
20418
-3.2
-3.5
-13.0
+9.0
-1.3
-1.7
-6.3
-6.6
+ 3.9
-38.0
+23.0
-107
+3.7
-18.8
-6.3
+ 19.9
+.7
+70.4
+4.9
-1.6
66,253
10,221
73,331
2,434
11,894
14,280
17,444
5,623
10,977
81,987
2,394
13,284
297,245
32,415
61,617
26,672
1,071
289,851
299
2,329
3,809
9,326
38,647
37,600
93,897
13,086
1,348
54,111
145,931
200,042
68,040
10772
70,838
2,237
12,863
14,563
17,687
4,953
10984
98,552
1,747
12,605
301.860
36,724
62,067
26,661
1,296
329,428
327
+5.2
-4.4
-5.9
-17.7
-2.6
-4.0
+3.5
+8.0
-7.5
-5.9
+ 1.7
+2.7
+5.4
-3.4
-8.1
+8.1
+2.0
+ 1.4
-11.9
+.1
+202
-27.0
-5.1
+ 1.6
+ 13.3
+.7
4
+21.0
+ 13.7
+9.4
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-lheft. motor vehicle theft, and arson.
'Includes arson.
*Less than Vio of one percent.
194
Table 46. — Suburban County Arrest Trends, Sex, 1986-1987
(992 agencies; WS? estimated population J6.7H7.000]
Offense charged
Males
Total
\Wb
1987
Percent
change
Under 18
1986
1987
Percent
change
Females
Total
1986
1987
Percent
change
Under 18
1986
1987
Percent
change
TOTAL.
1,167,601
Murder and nonnegligent
manslaughter
Forcible rape
Robber)
Aggravated assault
Burglary
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
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ...
Suspicion (not included in totals)
Curfew and loitenng law violations
Runaways
1,213,777
+4.0
146,974
145,143
-1.2
241,556
257,503
+6.6
42,272
2.298
4.609
12.406
.19.540
56.589
91.170
17.028
2.009
58.853
166.796
225.649
65.403
7.270
37,622
1.705
12,987
22,808
18,528
2.187
12.391
75,479
2,109
12.382
266,922
37.406
57,449
26.528
1.226
271.464
435
854
9,232
2.192
4.398
10.369
38,665
53.946
91.160
18.072
1.921
-t.6
-».6
-164
-2.2
-AJ
(*)
+6.1
^,4
147
603
1.889
4,387
20,296
28,028
5.929
756
154
621
1.779
4.499
19.414
27,075
6,217
766
+4.8
+ 3,0
-5.8
+2.6
-4,3
-3,4
+49
+ 1-3
292
56
934
5,205
4,594
36.881
1.759
310
315
45
852
5.221
4,621
39.312
2.046
275
+ 7,9
-196
-8,8
+ ,3
+ 6
+6.6
+ 16,3
-11,3
7
14
125
679
1.711
9.340
746
105
55.624
165.099
-5.5
-1.0
7,026
55,009
7,053
53.472
+ 4
-2,8
6.487
43,544
6433
46,254
+6.2
825
11,902
220,723
-2,2
62,035
60,525
-2,4
50,031
52,687
+ 5,3
12.727
66.929
7.592
36.740
1.553
14.016
22.841
18.792
1,842
12.213
89,153
1.483
11.644
270.468
40.890
57,377
25.970
1,360
302,066
608
926
9.199
+2,3
+4,4
-2.3
-8.9
+7.9
+ 1
+ 1,4
-15.8
-1,4
+ 18,1
-29,7
-6,0
+ 1.3
+9.3
-.1
-2,1
+ 109
+ 11-3
+39,8
+ 8,4
-4
8,546
529
570
77
2,452
10,057
2,320
19
1,965
6,521
46
132
3.140
10.028
1,772
3,807
295
22,577
166
854
9.232
8.482
546
514
57
2,703
9,961
2,316
24
1,851
6,859
29
154
2,784
10.366
1,451
3,559
332
22,505
308
926
9,199
-,7
+3,2
-9,8
-26-0
+ 10.2
-1.0
-.2
+26.3
-5,8
+ 5.2
-37,0
+ 16.7
-11.3
+ 3.4
-18.1
-6,5
+ 12,5
-,3
+85,5
+ 8,4
-,4
11.719
3,756
36,531
844
1,593
2.521
1,404
3,516
14279
335
1.067
33.957
8,883
6,305
4,869
182
47,231
70
327
11.518
11,893
3,959
34,891
784
1,774
2,624
1,340
3,186
734
17.473
295
1,164
34637
10,227
6,426
5.119
340
56,418
70
313
11.219
+ 1,5
+ 54
-4,5
-7.1
+ 11.4
+41
-A.b
-9.4
+6,7
+22.4
-119
+9,1
+2,0
+ 15,1
+ 1,9
+ 5,1
+86,8
+ 19.5
^,3
-2,6
2,323
276
252
38
234
992
168
61
137
1,250
4
33
494
3,846
365
918
42
6,267
40
327
11,518
42,218
24
13
116
740
1,553
9,500
815
82
893
11,950
12,843
2,300
233
279
43
224
941
129
51
112
1,215
2
49
461
4,027
285
869
72
6,551
43
313
11,219
-.1
f 242,9
-7.1
-7.2
+9.0
-9.2
+ 1,7
+9.2
-21.9
+ 8.2
+ 4
-1,0
-15,6
+ 10.7
+ 13.2
^.3
-5,1
-23.2
-16,4
-18.2
-2.8
-50.0
+48.5
-6.7
+4.7
-21.9
-5.3
+71.4
+45
+7.5
^.3
-2.6
'Violent cnmes 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,
*Less than one-tenth of 1 percent.
195
Table 47. — Suburban County Arrests, Distribution by Age, 1987
[1,101 agencies; 1987 estimated population 40.230,000]
ToUl
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Offense charged
Under
10
10-12
13-14
15
16
17
18
19
20
TOTAL
1,589,226
100.0
57,399
3.6
200,440
12.6
1,388,786
87.4
4,573
.3
12,995
.8
39,831
2.5
35,888
2.3
48,506
3.1
58,647
3,7
67,005
4.2
69,145
4.4
68,440
Percent distribution'
4J
Murder and nonnegligent
2,760
4.810
12,366
46,309
63,461
142.324
21.283
2.487
22
213
380
1.688
7.517
14.059
1.618
536
202
684
2.079
5.493
22.601
39,134
7,409
930
2,558
4,126
10,287
40,816
40,860
103.190
13.874
1.557
3
11
17
195
642
1,077
19
142
6
45
50
417
1,898
3,756
161
151
13
157
313
1,076
4,977
9.226
1.438
243
22
154
395
888
4,115
6,925
1,678
134
60
164
547
1.268
5.009
8,894
2,124
131
98
153
757
1,649
5,960
9,256
1,989
129
135
179
870
1,489
5,181
8,426
1,616
99
131
166
824
1,618
4,192
7,066
1,309
98
131
175
Robberv
751
1,707
3,490
6,047
1,069
89
66.245
100.0
229,555
100.0
2.303
3.5
23.730
10.3
8.458
12.8
70.074
30.5
57.787
87.2
159,481
69.5
226
.3
1,880
.8
518
.8
5,966
2.6
1.559
2.4
15.884
6.9
1,459
2,2
12,852
5.6
2,039
3.1
16,158
7.0
2,657
4.0
17,334
7,6
2,673
4.0
15,322
6.7
2.739
4.1
12.665
5.5
2,764
4.2
10,695
4.7
Crime Index total*
295,800
100.0
26.033
8,8
78.532
26.5
217,268
73.5
2,106
.7
6,484
2.2
17.443
5,9
14.311
4.8
18,197
6.2
19.991
6,8
17,995
6.1
15,404
5.2
13,459
4.6
85,503
13,131
78,517
2,511
17,381
27.943
21.570
5.706
14.240
1 16,250
2,053
15,316
328,182
53,313
68,851
34,732
2,017
382,822
718
1,283
21,387
3,909
87
100
6
708
4,962
627
4
954
1,071
2
41
55
823
189
1,195
85
7,828
131
331
8,258
11.477
873
837
102
3.291
11.638
2,570
106
2,118
8,793
34
227
3,477
14,937
1,877
4,810
433
31.277
361
1,283
21,387
74,026
12,258
77,680
2,409
14,090
16,305
19,000
5,600
12,122
107,457
2,019
15,089
324,705
38,376
66.974
29.922
1.584
351.545
357
334
2
16
1
23
749
33
1,033
11
14
3
114
1,514
130
2,542
74
70
2
571
2,699
464
4
642
849
2
31
37
727
160
758
61
5,745
75
263
6,612
1.986
116
106
10
601
1,936
491
17
353
1,319
6
36
112
1,669
255
743
91
5.661
56
284
5.729
2.540
219
163
25
866
2.331
647
29
407
2.497
7
69
814
4.397
485
1.231
105
7.804
88
372
5,213
3,042
451
468
61
1,116
2,409
805
56
404
3,906
19
81
2,496
8,048
948
1,641
152
9,984
86
296
2,187
2,824
580
1,100
86
1,159
1,838
1,074
193
393
5,361
16
317
6,259
9,499
1,905
1,829
129
14,407
41
3.063
651
1,953
94
1,103
1,408
1,049
257
431
5.853
20
290
8.277
8.003
2,237
1,865
127
17,029
31
3,111
Forgery and counterfeiting
697
2.689
107
Stolen property; buying, receiving,
Dossessins
1.001
1.175
1.020
284
Sex offenses (except forcible rape and
67
110
245
112
414
5,982
19
4
13
39
23
127
8
632
19
14
253
6
5
57
6
310
16
1,451
37
54
1,393
410
10,340
5,662
2,350
1,775
118
All other offenses (except traffic)
17,807
20
See footnotes at end of table.
196
Table 47. — Suburban County Arrests, Distribution by Age, 1987 — Continued
OtTensc 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 diftrlbution' .
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-thefl
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
Dnvtng under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traflic)
Suspicion
Curfew and loitering law violations.
Runaways
69,955
4.4
124
199
750
1,966
2,979
5,511
935
96
3,039
4.6
9,521
4.1
12,560
4.2
3,419
781
3.266
108
918
1.072
1.059
307
457
6.187
33
533
13,437
1,874
2,893
1,764
108
19,161
18
71,176
4.5
72,908
4.6
71,572
4.5
314,206
19.8
224,770
14.1
145,182
9.1
87,145
5.5
52,028
3.3
31,589
2.0
20,191
1.3
12,214
133
177
685
1.946
2,674
5,215
870
77
116
211
645
2,025
2,465
5,033
818
74
128
187
577
2,123
2,148
4,794
728
60
520
940
2,469
9,289
8.368
20.299
2.855
324
363
688
1,428
7,161
4,856
15.715
1.766
248
274
537
727
4.611
2.472
10.048
913
148
200
283
291
2.844
1,038
5,577
474
102
114
152
127
1,689
516
3,405
260
61
81
99
75
952
210
2,161
151
33
33
54
41
637
129
1,572
62
31
2,941
4.4
8,836
3.8
2,997
4.5
8,390
3.7
3,015
4.6
7,730
3.4
13,218
20.0
31,846
13.9
9,640
14.6
22,585
9.8
6.149
9.3
13,581
5.9
3,618
5.5
7,191
3.1
2,082
3.1
4,242
1.8
1,207
1.8
2,555
1.1
765
1.2
1,794
11,777
4.0
11.387
3,8
10,745
3.6
45,064
15.2
32,225
109
19,730
6.7
10.809
3.7
6,324
2.1
3,762
1.3
2,559
.9
3.674
709
3.535
111
851
998
1,046
342
434
6,572
39
579
14,977
1,530
2,955
1,687
67
19,273
20
3.875
762
3,960
121
844
926
1,020
354
464
6.699
49
665
15,969
1,302
3,232
1.662
81
19,517
19
3.950
619
4.027
115
769
916
1,006
357
426
6,590
43
699
16,351
1,002
3,092
1,585
92
19,176
12
17,365
2,871
17,999
532
2.964
3,247
4.153
1.574
2.347
28.729
257
3,476
74,882
3,722
14,358
6,276
350
83,956
84
12,750
2,090
15,026
435
1.953
2,032
2.973
934
2,022
17.964
256
3,275
56,270
2,092
11,454
4,364
237
56,369
49
8,137
1,241
10,823
295
1,137
1,168
1,902
481
1.529
9.637
253
2,335
38.664
1.309
8,261
2,793
128
35,336
23
5.061
666
6,430
200
621
659
1,094
216
1.153
4,222
256
1.378
26,060
832
5,131
1,662
64
20,613
18
2,969
308
3,469
91
337
368
675
128
664
1.982
233
633
16.827
572
3,389
1,065
38
11,950
6
1,668
166
1,718
58
212
203
380
85
440
852
185
288
11,203
366
2,214
675
15
7,092
7
986
57
881
28
117
133
247
38
364
451
164
124
7,323
278
1,621
384
15
4,416
5
28
41
12
360
61
1,042
22
10
441
.7
1.135
.5
1.576
.5
585
32
472
17
57
74
148
254
225
101
45
4,367
178
1,040
286
6
2,725
1
11,260
.7
47
38
15
399
81
1,279
26
7
499
1,393
.6
1.892
.6
589
28
332
II
47
88
154
25
330
151
95
42
3.499
155
842
250
9
2,718
3
'Because of rounding, the percentages may not add to total.
'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.
197
Table 48 —Suburban County Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1987
[1,101 agencies; 1987 estimated population 40,230,000]
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 trafTic)
Suspicion
Curfew and loitering law violations..
Runaways
Total
all
ages
1,589,226
2,760
4.810
12.366
46,309
63,461
142,324
21,283
2,487
66,245
229,555
295,800
85.503
13.131
78,517
2,511
17,381
27,943
21,570
5,706
14,240
116.250
2.053
15.316
328,182
53.313
68.851
34,732
2,017
382,822
718
1,283
21,387
Number of persons arrested
Under 15
57,399
22
213
380
1.688
7.517
14.059
1.618
536
2.303
23,730
26.033
3.909
87
100
6
708
4,962
627
4
954
1,071
2
41
55
823
189
1.195
85
7.828
131
331
8.258
Under 18
200.440
'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.
^Less than one-tenth of I percent.
202
684
2.079
5.493
22,601
39,134
7,409
930
8,458
70,074
78,532
11,477
873
837
102
3,291
11,638
2,570
106
2,118
8,793
34
227
3,477
14,937
1,877
4,810
433
31,277
361
1,283
21,387
Under 21
405,030
599
1,204
4,524
10,307
35.464
60.673
11.403
1,216
16,634
108,756
125,390
20.475
2.801
6.579
389
6.554
16.059
5,713
840
3.356
25.989
89
1.244
28,353
38.101
8.369
10.279
807
80.520
453
1,283
21,387
Under 25
690,641
1,100
1,978
7.181
18,367
45,730
81,226
14,754
1,523
28,626
143,233
171,859
35,393
5,672
21.367
844
9.936
19.971
9,844
2,200
5,137
52,037
253
3,720
89,087
43,809
20,541
16,977
1.155
157.647
522
1,283
21,387
Percent of total all ages
Under
15
3.6
4.4
3.1
3.6
11.8
9.9
7.6
21.6
3.5
10.3
Under
18
12.6
7.3
142
16.8
11.9
35.6
27.5
34.8
37.4
12
30.5
26.5
4.6
.7
.1
.2
4.1
17.8
2,9
.1
6.7
.9
,1
.3
O
1.5
.3
3.4
4.2
2.0
18.2
25.8
38.6
Under
21
13.4
6.6
1.1
4.1
18.9
41.6
119
1.9
14.9
7.6
1.7
1.5
1,1
28.0
2.7
13.8
21.5
8.2
503
100.0
100.0
25.5
21.7
25.0
36.6
22.3
55.9
42.6
53.6
48.9
25.1
47.4
42.4
Under
25
23.9
21.3
8.4
15.5
37.7
57.5
26.5
14.7
23.6
22.4
4.3
8.1
8.6
71.5
12.2
29.6
40.0
21.0
63.1
100.0
100.0
43.5
39.9
41.1
58.1
39.7
72.1
57.1
69.3
61.2
43.2
62.4
58.1
41.4
43.2
27.2
33.6
57,2
71.5
45.6
38.6
36.1
44.8
12.3
24.3
27.1
82.2
29.8
48.9
57.3
41.2
72.7
100.0
100.0
198
Table 49. — Suburban County Arrests, Distribution by Sex, 1987
[1.101 agencies. ItST escimaled population 40.2.10.000)
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
Burglar)
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property cnme*
Cnme 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
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except irafTic)
Suspicion
Curfew and loitering law violations
Runaways
I.S89.226
2.760
4.810
12.366
46,309
63,461
142.324
21.283
2.487
66.245
229,555
295.800
85.503
13.131
78.517
2.511
17.381
27,943
21,570
5,706
14,240
116,250
2.053
15,316
328,182
53,313
68.851
34.732
2.017
382.822
718
1.283
21.387
1,311,343
277,883
82.5
17.5
2.423
4,762
11,428
40,798
58,540
98,827
19,090
2,177
59,411
178,634
238,045
72.718
8.635
40.365
1.685
15.425
25.081
20.138
1.993
13.449
97,372
1.715
13.948
291.248
42.659
61.887
29.068
1.613
323.062
647
943
9.647
337
48
938
5.511
4,921
43.497
2,193
310
87,8
99,0
92,4
88,1
92,2
69,4
89.7
87.5
12.2
1.0
7,6
11,9
7,8
30.6
10.3
12,5
6.834
50.921
89.7
77.8
10.3
22.2
57.755
805
19,5
12.785
4.496
38.152
826
1.956
2.862
1.432,
3,713
791
18.878
338
1,368
36.934
10.654
6.964
5.664
404
59.760
71
340
11.740
85,0
65.8
51.4
67.1
88.7
89,8
93.4
34,9
94,4
83,8
83,5
91,1
88.7
80.0
89.9
83,7
80,0
84,4
90,1
73.5
45,1
15.0
34.2
48.6
32.9
11,3
10.2
6.6
65,1
5.6
16.2
16,5
8,9
11.3
200
101
16.3
20,0
15.6
9.9
26.5
54.9
100.0
.2
.3
.8
2,9
4,0
9,0
1.3
.2
4.2
14.4
18,6
5.4
4.9
.2
.9
7.3
.1
1.0
20.7
3.4
4.3
2.2
.1
24,1
e)
.1
1,3
100.0
.2
.4
.9
3,1
4,5
7,5
1.5
.2
4.5
13.6
18.2
5,5
,7
3.1
,1
1,2
1,9
1.5
1.0
7.4
,1
1.1
22.2
3.3
4.7
2.2
,1
24,6
e)
.1
,7
100.0
.1
e)
.3
2.0
1.8
15.7
.8
.1
2,5
18,3
20, S
4.6
1.6
13.7
.3
.7
1.0
.5
1.3
.3
6.8
.1
.5
13.3
3.8
2.5
2.0
.1
21.5
(')
.1
4.2
'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 cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
'Includes arson.
199
Table 50. — Suburban County Arrests, Distribution by Race, 1987
[1,082 agencies; 1987 estimated population 40,046,000]
Offense charged
Total arrests
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
Percent distribution'
Total
White
Black
Amencan
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegiigeni manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent cnme^
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
1,575,972
2,755
4,802
12,361
46,245
63.322
142,176
21,263
2,484
66,163
229,245
295,408
85,442
13,124
78,512
2,511
17.359
27.914
21.564
5,702
14,230
116,070
2.053
15,278
316,831
53.265
68,622
34,712
2,017
382,092
713
1,282
21,271
1,260,198
3(M,8I7
5,524
5,433
100.0
80.0
1.954
3.288
6.053
33.266
49.711
101,940
15,949
2,060
767
1,474
6,251
12,608
13,263
38,980
5,131
403
16
24
30
214
171
389
72
II
18
16
27
157
177
867
III
10
100,0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
70.9
68.5
49.0
71.9
78.5
71.7
75.0
82.9
44,561
169.660
21,100
57,777
284
643
218
1,165
100.0
100.0
67.4
74.0
214,221
78,877
927
1,383
100.0
72.5
66,333
9,448
54,272
1,767
12,759
24,347
16,390
3,739
12,490
86,427
1,494
I0I2I
295,102
49,071
M,I13
28,248
1,516
290.443
640
1.190
19.067
18,447
3.611
24.018
729
4.466
3,414
5,014
1,907
1,640
29,223
552
5.121
19,500
3,866
6,784
6,215
485
88,752
68
80
2,048
367
35
123
47
222
3
28
852
193
533
187
9
1,683
4
6
70
295
100,0
30
100.0
99
100.0
II
100.0
62
100.0
83
100.0
102
100.0
25
53
198
4
8
1,377
135
192
62
7
1,214
I
6
86
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
77,6
72.0
69.1
70.4
73.5
87.2
76.0
65.6
87.8
74.5
72.8
66.2
93.1
92.1
89.1
81.4
75,2
76.0
89.8
92.8
89.6
19.3
27.8
30.7
50,6
27,3
209
27.4
24.1
16.2
31.9
25.2
26.7
21.6
27.5
30.6
29.0
25.7
12.2
23.3
33.4
11.5
25.2
26,9
33.5
62
7.3
9.9
17.9
24.0
23.2
9.5
62
9.6
See footnotes at end of table.
200
Table 50. — Suburban County Arrests, Distribution by Race, 1987 — Continued
OfTense charged
Arrests under 18
Total
White
Black
Amcncan
Indian
Alaskan
Native
Asian
Pacific
Islander
Percent distnbutu
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 cnitie'
Property crime^
Cnme 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
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafTic)
Suspicion -
Curfew and loitering law violations
Runaways
199,840
202
682
2,078
5.487
22,535
39,103
7,399
929
8,449
69,966
78,415
11,471
872
837
102
3,286
11,630
2,570
106
2,118
8.676
34
226
3.380
14.927
1.855
4,809
433
31,180
360
1,282
21,271
165,159
33,169
562
950
lOO.O
82.6
136
394
916
3.564
19.119
30.294
5.563
835
62
286
1.152
1.897
3.274
8.362
1,741
83
351
68
1000
1000
100.0
100.0
100.0
100.0
100.0
100.0
67,3
57.8
44.1
65.0
84.8
77.5
75.2
89.9
5.010
55,811
3.397
13.460
23
507
100.0
100.0
59.3
79.8
60.821
16.857
207
530
100,0
77.6
8.366
732
657
74
2.454
10.530
1.944
73
1.780
6,685
10
209
3,301
14,567
1,732
3,970
366
26,284
347
1,190
19,067
3,008
131
177
28
799
1.046
602
32
330
1.960
24
17
64
300
97
820
62
4.675
12
80
2.048
100.0
100.0
100.0
100.0
100.0
100.0
100,0
100,0
7
100,0
14
100.0
100.0
100.0
4
100.0
27
100,0
7
100.0
9
100.0
3
100.0
128
100.0
1
100.0
6
100.0
86
100.0
72.9
83,9
78.5
72,5
74.7
90.5
75.6
68,9
84,0
77,1
29,4
92.5
97.7
97.6
93,4
82,6
84.5
84.3
96.4
92,8
89.6
16.6
30.7
41.9
55.4
34.6
14.5
21,4
23,5
8.9
40.2
192
21.5
70.6
7.5
1.9
2,0
5.2
17.1
14.3
15.0
3.3
6.2
9.6
26.2
15.0
71 1
.4
.2
77 5
24.3
9.0
23.4
.5
.2
.2
302
15.6
22.6
(')
.2
1.0
See footnotes at end of table.
201
Table 50. — Suburban County Arrests, Distribution by Race, 1987 — Continued
Arrests 18 and over
Percent distribul
on'
Offense charged
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Total
White
Black
Amencan
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
1,376,132
1,095,039
271,648
4,962
4,483
100.0
79.6
19.7
.4
.3
Murder and nonnegligent manslaughter
2.553
4.120
10.283
40.758
40,787
103,073
13,864
1,555
1,818
2.894
5.137
29.702
30.592
71.646
10.386
1,225
705
1,188
5,099
10,711
9,989
30,618
3,390
320
14
22
25
204
109
293
45
8
16
16
22
141
97
516
43
2
100.0
100.0
100.0
100.0
100,0
100.0
100.0
100.0
71.2
70.2
50.0
72.9
75.0
69.5
74.9
78.8
27.6
28,8
49.6
26.3
24.5
29.7
24.5
20.6
.5
,5
.2
.5
.3
.3
.3
.5
.6
.4
Robbery
.2
,3
.2
.5
.3
.1
57.714
159.279
39,551
113.849
17,703
44,317
265
455
195
658
100.0
100.0
68.5
71.5
30.7
27.8
.5
.3
.3
.4
Crime Index total*
216.993
153.400
62,020
720
853
100.0
70.7
28.6
.3
.4
73,971
12,252
77,675
2.409
14.073
16,284
18,994
5,596
12,112
107.394
2.019
15.052
313.451
38,338
66.767
29.903
1.584
350.912
353
57,967
8,716
53,615
1,693
10,305
13.817
14.446
3,666
10,710
79,742
1,484
9,912
291.801
34.504
59,381
24,278
1,150
264,159
293
15,439
3,480
23,841
701
3,667
2,368
4,412
1,875
1,310
27,263
528
5,104
19,436
3,566
6,687
5,395
423
84,077
56
317
33
123
4
56
50
53
31
46
205
3
28
841
160
514
177
7
1,590
4
248
23
96
11
45
49
83
24
46
184
4
8
1,373
108
185
53
4
1,086
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
78.4
71.1
69.0
703
73.2
84.9
76.1
65.5
88.4
74,3
73.5
65.9
93.1
90.0
88.9
81.2
72.6
75.3
83.0
20.9
28.4
30.7
29.1
261
14.5
23.2
33.5
10,8
25.4
26.2
33.9
6.2
9.3
10.0
18.0
26.7
24.0
15,9
.4
.3
.2
.2
.4
.3
.3
.6
.4
.2
.1
.2
.3
.4
.8
.6
.4
.5
1.1
.3
.2
Praiid ..
.1
.5
Stolen property; buying, receiving.
.3
.3
Weapons; carrying, possessing, etc
.4
.4
Sex offenses (except forcible rape and
.4
.2
.2
.1
.4
.3
.3
.2
.3
All other offenses (except traffic)
.3
'Because of rounding, the percentages may not add to total.
^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.
*!ncludes arson.
^Less than one-tenth of 1 percent.
202
Table 51. — Rural County Arrest Trends, 1986-1987
(2.038 agencies; I*»87 estimaled p*.>puIation 21,432.0001
OfTcnsc charged
Number of persons urmlcd
Tolal all ages
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Perccnl
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbcr>
Aggravated assiult
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent cnmc'
Property crimc^
Cnme Index total'
Other assaults ,
Forgcr> and counterfeiting ,
Fraud ,
Embezzlement ,
Stolen property; buying.
receiving, possessing
Vandalism ,
Weapons, carrying, possessing, etc
Prostitution and commercialized vice...
Sex offenses (except forcible
rape and prostitution) ,
Drug abuse violations
Gambling ,
Offenses against family and children
Dnving under the influence
Liquor laws ,
Drunkenness ,
Disorderly conduct ,
Vagrancy
All other offenses (except traffic) ,
Suspicion (not included in totals)
Curfew and loitering law violations
Runaways
725.005
98.903
188
746.309
1,233
1.226
2,1OT
2.061
2.071
2.212
19,016
19.978
28,758
29.113
37,687
40.255
6,815
7.311
1.214
1.162
24,429
25.477
74.474
77.841
103.318
41.178
42,113
6.300
6.380
44,678
42.421
1.054
1,029
5,457
5.841
13,127
13,800
7,972
8,322
178
5,725
5,651
38.290
45,897
655
746
7.606
6,822
199.337
197,848
42.215
49,412
42.148
38,402
21.474
20,799
247
279
140.658
148.648
521
568
838
1,098
6,955
7.305
+2.9
68,336
72,538
+6.1
656,669
-.6
-2.3
+6.8
+ 5.1
+ 1.2
+6.;
+7.3
^.3
+4.3
+4.5
82
63
210
184
202
239
1.156
1.287
8.999
9.172
8.670
9.631
2,320
2.470
283
308
1,650
1.773
20,272
21.581
-23.2
-12.4
+ 18.3
+ 11.3
+ 1.9
+ 11.1
+6.5
+8.8
1,151
1,899
1,869
17,860
19,759
29,017
4.495
931
+7.5
+6.5
22.779
54.202
+4.5
21.922
23.354
+6.5
76,981
+2.3
+ 1.3
-5.1
-2.4
+7.0
+5.1
+4.4
-5.3
-1.3
+ 19.9
+ 13.9
-10.3
-.7
+ 17.0
-8.9
-3.1
+ 13.0
+ 5.7
+9.0
+31,0
+ 5.0
2,740
423
315
9
783
4.557
565
18
2,892
380
317
19
794
4.784
533
10
820
772
2.434
2.443
11
20
117
135
3.080
2.946
9.570
11.535
1,165
1.042
2,064
1,945
62
76
9,888
10,138
119
92
838
1,098
6.955
7,305
+5.5
-10.2
+.6
+ 111.1
+ 1.4
+ 5.0
-5.7
-5.9
+.4
+81.8
+ 15.4
-4.4
+20.5
-10.6
-5.8
+22.6
+2.5
-22.7
+31.0
+5.0
38,438
5,877
44,363
1,045
4,674
8,570
7,407
170
4,905
35,856
644
7,489
196,257
32,645
40,983
19.410
185
130,770
402
673,771
1.163
1.877
1,973
18,691
19,941
30,624
4,841
854
23,704
56,260
79,964
39,221
6,000
42,104
1.010
5.047
9,016
7.789
168
4,879
43,454
726
6,687
194,902
37,877
37,360
18,854
203
138,510
476
♦2.6
+ 1.0
-1.2
+ 5.6
+4.7
+.9
+5.5
+7.7
-8.3
+41
+3.8
+3.9
+2.0
+2.1
-5.1
-3.3
+ 8.0
+ 5.2
+ 5.2
-1.2
-.5
+21.2
+ 12.7
-10.7
-.7
+ 16.0
-8.8
-2.9
+9.7
+5.9
+ 18.4
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes arc offense* of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson
203
Table 52. — Rural County Arrest Trends, Sex, 1986-1987
[2.038 agencies; 1987 estimated population 21.432,000]
OfTense charged
Percent
change
1986
1987
Percent
change
Percent
change
Percent
change
TOTAL
Murder and nonnegligent
tnanslaughter
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
Disorderiy conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals)
Curfew and loitering law violations...
Runaways
616,091
1,041
2,078
1,914
16,833
26,849
30,297
6,169
1,059
21,866
64.374
86,240
35,172
4,251
23,509
752
4,886
11,826
7,519
79
5,504
32,825
555
7,000
179,792
35,047
38,768
18.343
213
120.122
455
584
3,104
«30,»5S
+2.4
54,593
57,345
+5.0
108,914
115,354
+5.9
13,743
1.056
2,028
2,019
17,676
27,139
31.746
6.578
988
+ 1.4
-2.4
+ 5.5
+ 5.0
+ 1.1
+4.8
+6.6
-6.7
73
202
189
984
8,366
7,258
2,058
252
53
180
215
1,115
8,496
7.891
2.143
269
-27.4
-10.9
+ 13.8
+ 13.3
+ 1.6
+8.7
+4.1
+6.7
192
31
157
2,183
1,909
7,390
646
155
170
33
193
2,302
1,974
8,509
733
174
-1L5
+6.5
+22.9
+5.5
+3.4
+ 15.1
+ 13.5
+ 12.3
13
172
633
1,412
262
31
22,779
66,451
+4.2
+3.2
1,448
17,934
1,563
18,799
+7.9
+4.8
2.563
10,100
2,698
11,390
+5.3
+ 12.8
202
2,338
89,230
+3.5
19,382
20,362
+ 5.1
12,663
14.088
+ 11.3
2,540
35,851
4,261
21,737
700
5,175
12,443
7,859
73
5,444
39,161
653
6,247
177,929
40,639
35,086
17,623
251
126,518
506
755
3,320
+ 1.9
+.2
-7.5
-6.9
+5.9
+5.2
+4.5
-7.6
-1.1
+ 19.3
+ 17.7
-10.8
-1.0
+ 16.0
-9.5
-3.9
+ 17.8
+ 5.3
+ 11.2
+29.3
+7.0
2,163
304
170
4
690
4.191
540
10
774
2.046
II
89
2,692
7,112
1,006
1,669
55
7,997
103
584
3.104
2,291
267
204
10
694
4,424
502
724
2,054
18
101
2,582
8,412
858
1,588
62
8,114
75
755
3,320
+ 5.9
-12.2
+2O0
+ 150.0
+.6
+ 5.6
-7,0
-70.0
-6.5
+ 4
+63.6
+ 13.5
^.1
+ 18.3
-14.7
-4.9
+ 12.7
+ 1.5
-27.2
+ 29.3
+7.0
6,006
2,049
21.169
302
571
1,301
453
109
221
5,465
100
606
19,545
7,168
3,380
3,131
34
20,536
66
254
3.851
6,262
2,119
20,684
329
666
1,357
463
105
207
6,736
93
575
19,919
8,773
3,316
3,176
28
22,130
62
343
3,985
+4.3
+3.4
-2.3
+8.9
+ 16.6
+4.3
+2.2
-3.7
-6.3
+23.3
-7.0
-5.1
+ 1.9
+22.4
-1.9
+ 1.4
-17,6
+ 7.8
-6.1
+35,0
+3,5
577
119
145
5
93
366
25
46
388
28
388
2,458
159
395
7
1.891
16
254
3,851
15,193
10
4
24
172
676
1.740
327
39
210
2,782
2,992
601
113
113
9
100
360
31
48
389
2
34
364
3,123
184
357
14
2,024
17
343
3,985
+10.6
+ 11.1
-50.0
+84.6
+6.8
+23.2
+24.8
+25.8
+4.0
+ 19.0
+ 17.8
+4.2
-5.0
-22.1
+80.0
+7,5
-1.6
+24.0
-12.5
+4.3
+.3
+21.4
-6.2
+27.1
+ 15.7
-9.6
+ 100.0
+7.0
+6.3
+35.0
+3.5
'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.
204
Table 53. — Rural County ArresU, Distribution by Age, 1987
[2,293 igencies; 1987 es(im«ted population 23,979,000]
Oflcnie charged
Tolll all
•8"
Ages
under
15
Ages
under
18
Ages
18 ind
over
Age
Under
10
TOTAL
Perctnl diitrlbutioo'
Murder and nonnegligeni manslaughter
Forcible rape
Robbery
Aggravaied assault
Burglary
Larceny-theft
Motor vehicle theft
Anon
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
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
821,528
100.0
1,374
2,333
2,479
22.376
32.842
45.514
8.052
1.300
28.562
100.0
87,708
100.0
116,270
100.0
46,537
7,259
47,430
1,154
6,477
15,234
9,066
197
6,319
51,274
761
7,930
210,505
53,032
42,369
23,101
317
166,185
631
1,279
8,201
18,997
2.3
80,804
9,8
740,724
90.2
1,724
.2
4,187
.5
13,086
1.6
12,921
1.6
20,597
2.5
28,289
3.4
36,573
4.5
36,933
4.5
9
50
30
309
2.988
3.331
660
174
68
210
253
1,412
10,310
10,682
2,737
339
1,306
2,123
2,226
20,964
22,532
34.832
5,315
961
I
2
1
26
295
285
14
56
1
14
3
86
744
855
95
51
7
34
26
197
1.949
2.191
551
67
II
33
37
220
1.728
1.708
626
50
24
42
71
343
2,469
2,578
732
43
24
85
115
540
3,125
3,065
719
72
43
103
134
741
3,267
3,406
625
56
398
1.4
7,153
8.2
1,943
6.8
24,058
27.4
26,619
93.2
63,640
72.6
30
.1
650
.7
104
.4
1,745
2.0
264
.9
4.758
5.4
301
1.1
4,112
4.7
480
1.7
5,822
6.6
764
2.7
6,981
8.0
1,021
3.6
7,354
8.4
7,551
6.5
26,01 1
22.4
90,259
77.6
680
.6
1,849
1.6
5.022
4.3
4.413
3.8
6,302
5.4
7,745
6.7
8,375
7.2
792
45
39
150
2.033
140
3
340
372
1
56
65
783
82
510
18
2.708
50
337
2.922
3,153
441
352
20
879
5.292
585
10
866
2,780
20
204
3,125
12,531
1,169
2,186
82
11,522
96
1,279
8,201
43,384
6.818
47,078
1,134
5.598
9,942
8.481
187
5,453
48,494
741
7,726
207.380
40,501
41,200
20,915
235
154,663
535
194
8
I
521
34
30
355
12
34
615
41
309
7
7
76
99
5
592
17
61
440
108
1,063
87
224
313
I
38
32
672
67
351
13
1,807
26
269
2,406
451
51
24
I
135
797
104
171
343
6
39
112
1,455
140
341
19
1,773
13
259
2,273
789
119
82
1
267
1,180
130
1
171
738
6
44
793
3,737
318
545
22
2,921
12
408
2,011
1,121
226
207
18
327
1,282
211
5
184
1,327
7
65
2,155
6,556
629
790
23
4,120
21
275
995
1,640
383
647
12
445
1,139
344
224
2,054
8
189
4,496
7,525
1,286
1,094
7
6,670
28
49
99
156
736
2,492
2,690
517
62
1,040
3.6
5,761
6.6
6,801
5.8
1,709
453
1,201
37
431
851
348
217
2,449
8
221
5,823
6,382
1,482
1,043
16
7,421
31
36,560
4.5
60
110
150
834
2.069
2.353
450
41
1.154
4.0
4.913
5.6
6,067
5.2
1,799
440
1,510
39
393
724
386
150
2,617
8
249
6,909
4,890
1,587
1,125
12
7,623
27
See footnotes at end of table.
205
Table S3. — Rural County Arrests, Distribution by Age, 1987 — Continued
Age
Offense charged
21
22
2.1
24
25-29
30- .14
35-3Q
40-44
45-49
50-54
55-59
60-M
65 and
over
TOTAL
36.655
4.5
36,311
4.4
36.725
4.5
36.715
4.5
154,838
18.8
114,971
14.0
78,469
9.6
51,550
6.3
31,815
3.9
20,845
2.5
13,850
1.7
9,071
1.1
8,843
1.1
Murder and nonnegligent manslaughter
Forcible rape
51
109
158
913
1,778
2,103
362
47
56
88
184
967
1,471
1,861
336
43
55
96
143
1.018
1,342
1,810
297
38
56
122
140
1.007
1.231
1.662
296
47
260
428
551
4,535
4,200
6,383
996
163
208
325
308
3.628
2,366
4,375
639
144
164
261
164
2,389
1,121
3,154
366
108
107
145
74
1,638
609
1,946
199
84
73
120
36
921
306
1.104
103
45
47
47
17
658
151
724
61
42
30
31
4
422
66
488
35
23
19
23
2
242
38
353
22
12
28
16
5
Aggravated assault
Burglary
315
25
420
Motor vehicle theft
11
6
1,231
4.3
4,290
4.9
1,295
4.5
3,711
4.2
1,312
4.6
3,487
4,0
1,325
4.6
3,236
3.7
5.774
20.2
11,742
13.4
4,469
15.6
7,524
8.6
2,978
10.4
4,749
54
1,964
6.9
2,838
3.2
1,150
4.0
1,558
1.8
769
2.7
978
1.1
487
1.7
612
.7
286
1.0
425
.5
364
1.3
462
.5
Crime Index total^
Percent distribution'
5,521
4.7
5,006
4.3
4,799
4 1
4,561
3.9
17,516
15.1
11,993
10.3
7.727
66
4,802
4.1
2,708
2.3
1,747
1.5
1.099
.9
711
6
826
,7
Other assaults
Forgery and counterfeiting
2,009
431
1,981
52
347
590
425
8
197
2,693
10
321
8,509
2.178
1,821
1.160
9
8,363
30
2.073
437
2,158
39
335
608
431
13
168
2,828
19
333
9,098
1.782
1.783
1,112
15
8,045
28
2,114
422
2.319
55
341
586
395
10
177
2,849
9
316
9,595
1,542
1,851
1,095
13
8.204
33
2.237
369
2,312
56
304
525
475
12
185
3.016
14
349
9,756
1,418
1,849
1,050
17
8.182
28
9,641
1,585
10,420
252
1,173
2,025
1,702
43
866
12,834
93
1,728
43.578
5.005
7,831
4.387
54
34,008
97
7,243
991
8.812
192
699
1,184
1..368
29
860
8,522
89
1,577
34,674
3,199
6,409
3.065
36
23,938
91
4,914
584
6,462
147
460
743
915
15
743
4,564
103
1,172
24,830
2.108
4.730
2,048
23
16,132
49
3.228
334
4.268
116
312
428
666
14
571
2,069
98
641
17,382
1.441
3.358
1,402
17
10.364
39
1,869
171
2,202
69
155
221
397
7
355
941
86
330
11,719
1.065
2.377
858
6
6,256
23
1.217
103
1,244
28
87
147
240
4
219
507
67
135
8,097
769
1.840
577
5
3,800
12
717
62
687
21
53
75
171
2
178
291
38
76
5,656
512
1.335
394
2
2,473
8
509
26
468
14
38
48
114
5
154
139
37
52
3.686
334
940
227
1
1.564
4
465
27
387
Embezzlement
Stolen property; buying, receiving,
possessing
Vandahsm
5
25
48
104
Prostitution and commercialized vice
Sex ofTenses (except forcible rape
4
189
121
54
Offenses against family and children
Driving under the influence
37
3.572
351
721
278
2
1.620
Suspicion
7
'Because of rounding, the percentages may not add to total.
^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.
206
Table 54. — Rural County Arrests of Persons under 15. 18, 21, and 25 Years of Age, 1987
(2.29J agencies; I^S? estimated rKipulalion 2.1.<)7'),0OO]
Offense charged
all ages
Numtwr of persons arrested
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL..
Murder and nonncgligent manslaughler .
Forcible rape
Robbery
Aggravated assault
Burglar)
Larceny-thefi
Motor vehicle theft
Arson
Violent critne
Property crime*
Cnme Index totaiV.
Other assaults
Forger)' 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
821,528
1,374
2.-133
2,47<)
22.37(1
32.842
45,514
8,052
1,300
28.562
87.708
116.270
46,537
7,259
47,430
1.154
6.477
15,234
9,066
197
6,319
51,274
761
7.930
210.505
53.032
42.369
23.101
317
166.185
631
1.279
8.201
18,997
80,804
190,870
337,276
2.3
9.8
9
50
30
309
2.988
3,331
660
174
68
210
253
1.412
10.310
10.682
2.737
339
220
522
693
3.723
18,138
19.131
4,329
498
438
937
1,318
7.628
23.960
26,567
5,620
673
,7
2.1
1.2
1.4
9.1
7.3
8.2
13.4
4,9
9.0
10.2
6.3
31,4
23.5
34.0
26.1
398
7,153
1.943
24.068
5.158
42,096
10.321
56,820
6.8
27.4
7,551
26,011
47,254
67,141
6.5
22.4
792
45
39
150
2,033
140
340
372
1
56
65
783
82
510
18
2,708
50
337
2.922
3,153
441
352
20
879
5.292
585
10
866
2,780
20
204
3,125
12,531
1,169
2,186
82
11,522
96
1,279
8.201
8.301
1.717
3,710
108
2,148
8,006
1.663
31
1.457
9.900
44
863
20,353
31.328
5.524
5.448
117
33.236
182
1,279
8,201
16,734
3,376
12,480
310
3,475
10.315
3,389
74
2,184
21,286
96
2,182
57.311
38,248
12,828
9,865
171
66,030
301
1.279
8,201
2.3
13.3
1.5
1.5
5.4
.7
.1
,7
{')
1.5
.2
2.2
5.7
1.6
7.9
26.3
35.6
6.8
6.1
.7
1.7
13.5
34.7
6.5
5.1
13.7
5.4
2.6
2.6
1.5
23.6
2.8
9.5
25.9
6.9
15.2
100.0
1 00.0
23.2
16,0
22.4
28.0
16.6
55.2
42.0
53.8
38.3
18.1
48.0
40.6
17.8
23.7
7.8
9.4
33.2
52.6
18.3
15,7
23,1
19,3
5.8
10.9
9.7
59,1
13.0
23.6
36.9
20,0
28,8
100,0
100,0
31,9
40,2
53.2
34.1
73.0
58.4
69.8
51.8
36,1
54,8
57,7
36,0
46,5
26.3
26,9
53.7
67.7
37,4
37,6
34.5
41.5
12.6
27.5
27,2
72,1
30.3
42,7
53.9
39.7
47.7
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
207
Table 55. — Rural County Arrests, Distribution by Sex, 1987
[2,293 agencies; 1987 estimated population 23.979.000]
Offense charged
Number of persons arrested
Male
Percent
male
Percent
female
Percent distribution'
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
Disorderiy conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
821,528
1,374
2,333
2,479
22,376
32.842
45,514
8,052
1,300
28,562
87,708
116,270
46,537
7,259
47,430
1,154
6,477
15,234
9,066
197
6,319
51,274
761
7,930
210,505
53,032
42,369
23,101
317
166,185
631
1,279
8,201
693,533
1,185
2,297
2,261
19,800
30,655
35,752
7.220
1,111
25,543
74,738
100.281
39,627
4,873
24,317
795
5,751
13,709
8,562
82
6,080
43,594
668
7,259
189,332
43,559
38,697
19,581
276
141,324
565
887
3,714
127,995
84.4
15.6
100.0
189
36
218
2,576
2,187
9,762
832
189
86.2
98.5
91.2
88.5
93.3
78.6
89.7
85.5
13.8
1.5
8.8
11.5
6.7
21.4
10.3
14.5
.2
.3
.3
2.7
4.0
5.5
1.0
.2
3,019
12,970
89.4
85.2
10.6
14.8
3.5
10.7
15,989
86.2
13.8
14,2
6,910
2,386
23,113
359
726
1,525
504
115
239
7,680
93
671
21.173
9,473
3,672
3,520
41
24,861
66
392
4,487
85.2
67.1
51.3
68.9
88.8
90,0
94,4
41,6
96,2
85.0
87,8
91.5
89,9
82.1
91.3
84,8
87.1
85.0
89.5
69.4
45.3
14.8
32.9
48,7
31.1
11.2
10.0
5.6
58,4
3,8
15,0
12,2
8.5
10.1
17.9
8.7
15.2
12.9
15.0
10.5
30.6
54,7
5.7
.9
5.8
.1
.8
1.9
l.I
e)
.8
6.2
,1
1.0
25.6
6.5
5.2
2,8
0
20.2
.1
.2
1.0
100.0
.2
.3
.3
2.9
4.4
5.2
1.0
.2
3,7
10.8
14,5
5.7
.7
3.5
.1
.8
2.0
1.2
(')
.9
6.3
.1
1.0
27.3
6.3
5.6
2.8
e)
20.4
.1
.1
.5
100.0
.1
e)
.2
2,0
1,7
7,6
.7
,1
2.4
10.1
12,5
5,4
1.9
18,1
,3
,6
1.2
.4
.1
,2
6,0
.1
.5
16.5
7.4
2.9
2.8
(')
19.4
.1
.3
3.5
'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 crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
^Includes arson.
208
Table 56. — Rural County Arrests, Distribution by Race, 1987
(2.276 agtncies. I>)87 csiimaled population 2.V7')8.0001
OfTensc charged
American
Indian
Alaskan
Native
Pacific
Islander
Percent distnbution
Black
Ameiican
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Munler and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle iheft
Arson
Violent crime'
Property crime'
Cnme Index total*
Other assaults
Forgery and counterfeiling
Fraud
Embezzlement
Stolen propeny; 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 la»s
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations .
Runaways
811,601
1,369
2,317
2.449
22,284
32,591
45.209
7,993
1,279
28.419
87.072
115.491
46.408
7.196
47.356
1,132
6.429
15.174
9.025
193
6.265
50,970
761
7.887
204.498
52,831
41,745
22,975
312
165,049
512
1.239
8,153
663,778
122,964
17,478
7,381
100.0
81.8
974
1,621
1,523
15,843
26,610
36,030
6,761
1,096
357
612
875
5,715
4,963
7,768
870
161
28
66
29
578
718
593
202
15
10
18
22
148
300
818
160
7
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
71.1
70.0
62.2
71,1
81.6
79.7
84.6
85.7
19.961
70,497
7,559
13,762
701
1,528
198
1,285
100.0
100.0
70.2
81.0
90,458
21,321
2,229
1,483
100.0
78.3
34.513
5,284
33,539
843
5.094
13.300
7,548
153
5,574
41,696
489
5.224
176,583
47.664
36.491
18.802
269
131.532
423
869
7.430
10,437
1.799
13,280
267
1.184
1,423
1,229
39
506
8.109
169
2.491
21.385
3.658
3.517
3.322
36
28,476
70
24
222
1.051
71
471
14
122
295
169
148
677
8
122
4.915
1,062
1,685
733
7
3,555
16
5
122
407
42
66
29
156
79
37
488
95
50
1,615
447
52
118
1,486
3
341
379
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
74.4
73.4
70.8
74.5
79.2
87.6
83.6
79.3
89.0
81.8
64.3
66.2
863
90.2
87.4
81.8
86.2
79.7
82.6
701
91.1
1S.2
26.1
26.4
35.7
25.6
15.2
17.2
10.9
12.6
26.6
15.8
18.5
22.5
25.0
28.0
23.6
18.4
9.4
13.6
20.2
8.1
15.9
22.2
31.6
105
6.9
8.4
14.5
11.5
17.3
13.7
1.9
2.7
2.2
2.0
2.8
1.2
2.6
2.2
1.3
2.5
1.2
1.9
.9
.7
.9
1.8
2.0
.5
.7
1.5
1.3
2.3
.9
1.0
.6
1.0
.1
1.2
.7
1.9
.5
1.9
1.0
1.9
.9
5
2.4
.6
1.3
1.0
1.1
12.5
1.5
.6
2.4
.8
2.0
.8
4.0
.1
3.2
.5
7 7
2.2
.9
3.1
.6
.4
27.5
1.5
4.6
Sec footnotes at end of table.
209
Table 56. — Rural County Arrests, Distribution by Race, 1987 — Continued
Arrests under 18
Percent distribution'
OfTense charged
Total
White
Blacli
American
Indian
or
Alasltan
Native
Asian
or
Pacific
Islander
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
80.293
71,361
5,266
1.417
2,249
100.0
88.9
6.6
1.8
2.8
68
210
252
1,410
10,284
10,643
2,716
332
53
156
166
1.054
9,021
9.073
2,358
304
10
49
70
292
819
1,016
185
17
5
3
4
41
261
172
71
6
2
12
23
183
382
102
5
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
77.9
74.3
65.9
74.8
87.7
85.2
86.8
91.6
14.7
23.3
278
20.7
8.0
9.5
6.8
5.1
7.4
1.4
1.6
2.9
2.5
1.6
2.6
1.8
1.0
Robbery
48
Aggravated assault
1.6
1.8
3.6
3.8
1.5
Violent crime^
Property crime^
1,940
23,975
1,429
20,756
421
2,037
53
510
37
672
100.0
100.0
73.7
86.6
21.7
8.5
2.7
2.1
1.9
2.8
Crime Index total*
25,915
22,185
2,458
563
709
100.0
85.6
9.5
2.2
2.7
Other assaults
3,149
439
350
19
868
5,266
585
10
866
2,752
20
202
3,058
12,463
1,152
2,170
81
11,440
96
1.239
8,153
2.411
380
278
14
756
4,940
511
7
766
2,421
15
175
2,915
11,970
1,087
1,941
77
10,135
78
869
7,430
529
48
64
4
94
189
50
3
69
162
2
23
61
151
25
175
1
908
4
24
222
52
5
3
157
6
5
1
9
66
11
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
76.6
86.6
79.4
73.7
87.1
93.8
87.4
70.0
88.5
88.0
75.0
86.6
95.3
96.0
94.4
89.4
95.1
88.6
81.3
701
91.1
16.8
10.9
18.3
21.1
10.8
3.6
8.5
30.0
8.0
5.9
10.0
11.4
2.0
1.2
2.2
8.1
1.2
7.9
4.2
1.9
2.7
1.7
1.1
.9
1.0
1.3
2.2
2.4
1.2
.5
2.2
1.6
3.4
2.0
3.7
1.3
14.6
.4
15
5.0
1.4
1.4
5.3
Stolen property; buying, receiving,
9
71
13
1.0
1.3
1.9
Sex offenses (except forcible
21
32
10
137
3
3
15
138
1
11
247
341
379
1.2
5.0
15.0
1
67
204
39
43
3
150
14
5
122
1.5
.5
Liquor laws
11
Drunkenness
Disorderly conduct
1
.5
2.2
Suspicion
Curfew and loitering law violations
27.5
Runaways
4.6
See footnotes at end of table.
210
Table 56. — Rural County Arrests, Distribution by Race, 1987 — Continued
Offense charged
Arrests 18 and over
Amencan
Indian
Alaskan
Native
Pacific
Islander
Percent distribution'
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL .
Muixler and nonnegligent manslaughter
Forcible rape
Robber>
Aggravated assiult
Burglar>'
Larccny-Ihcft
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
Se.x offenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children ..
Dnving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations..
Runaways
731,308
1,301
2,107
2,197
20,874
22,307
34,566
5,277
947
26,479
63,097
89,576
43,259
6,757
47,006
1. 113
5.561
9.908
8.440
183
5.399
48.218
741
7.685
201.440
40,368
40,593
20,805
231
153,609
416
592,417
117,698
16,061
5,132
100.0
81.0
921
1.465
1.357
14,789
17,589
26,957
4,403
792
347
563
805
5,423
4,144
6,752
685
144
23
63
25
537
457
421
131
9
10
16
10
125
117
436
58
2
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
708
69.5
61.8
708
78.8
78.0
83.4
83.6
18,532
49,741
7,138
11.725
648
1,018
161
613
100.0
100.0
70.0
78.8
68,273
18,863
100.0
76.2
32,102
4,904
33,261
829
4.338
8.360
7.037
146
4.808
39.275
474
5,049
173,668
35,694
35,404
16,861
192
121,397
345
9,908
1,751
13,216
263
1,090
1,234
1.179
36
437
7.947
167
2.468
21,324
3,507
3,492
3,147
35
27,568
66
999
66
468
14
113
224
156
127
645
250
36
61
7
20
90
68
121
4.848
858
1.646
690
4
3.405
2
27
351
92
47
1.600
309
51
107
1.239
3
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100,0
100.0
100.0
74.2
72.6
70.8
74.5
78.0
84.4
83.4
79.8
89.1
81.5
64.0
65.7
86.2
88.4
87.2
81.0
83.1
79.0
82.9
16,1
26.7
26.7
36.6
26.0
18.6
19.5
13.0
15.2
27.0
18.6
21.1
22.9
25.9
28.1
23.6
19.6
12.5
14.0
19.7
8.1
16.5
22.5
32.1
106
8.7
8.6
15.1
15.2
17.9
15.9
2.2
1
3.0
1.1
2.6
2.0
1.2
2.5
1.0
2.4
1.6
1.9
2.3
I.O
1.0
1.3
2.0
2.3
1.8
2.4
1.3
1.1
1.6
2.4
2.1
4.1
3.3
1.7
2.2
.5
.5
.6
.5
1.3
1.1
,2
.6
1.0
.3
.7
12.4
.6
'Because of rounding, the percentages may not add to total.
^Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-thef), motor vehicle theft, and arson.
'Includes arson.
211
Table 57. — Suburban Area' Arrest Trends, 1986-1987
[4.347 agencies; 1987 estimated population 73.347,000]
OfTense charged
Number of persons arrested
Total all ages
Percent
change
Under 18 years of age
Percent
change
18 years of age and over
Percent
change
TOTAL .
Murder and nonnegligent manslaughter .
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent 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 loitenng law violations .
Runaways
3,088,585
3,698
8,052
24.261
81.369
118,557
358.737
35.523
4,877
117.380
517.694
635.074
3,182,469
3.652
7.864
22.212
82.863
115.631
371.438
38.420
4.574
116.591
530.063
646.654
176.601
180.080
23.246
24.365
106.499
106.317
3.685
3.626
35,602
37.196
73,704
73.113
H2I0
43.296
8,427
7.471
24,771
24.709
185,569
210,313
3,645
2,927
18,824
18,581
564.083
562,846
151,891
164,724
193,114
187,396
143,158
139,895
4,415
4,473
626,233
680,285
2,828
2,960
18.522
18,494
47.312
45.708
+3.0
564,316
556,963
-1.3
2,524,269
2,625,50«
-1.2
-2J
-8.4
+ 1.8
-2.5
+ 3.5
+8.2
-6.2
261
1.204
4.570
10.820
46.279
121.799
14.385
2.277
284
1.207
4.366
11.128
44.616
121.424
15.498
2.233
+8.8
+ .2
-4.5
+2.8
-3.6
-.3
+7.7
-1.9
3,437
6,848
19.691
70.549
72.278
236.938
21,138
2.600
-.7
+ 2.4
16.855
184,740
16,985
183,771
100,525
332,954
201,595
200,756
433,479
+2.0
+4.8
-.2
-1.6
+4.5
-.8
-2.1
-11.3
-.3
+ 13.3
-19.7
-1.3
-.2
+8.4
-3.0
-2.3
+ 1.3
+8.6
+4.7
-.2
-3.4
28.847
2.205
2.071
220
9.411
35.830
7.581
190
4.612
21.076
125
712
8.715
52.875
8.501
29.101
970
83.845
1.180
18.522
47.312
29.154
2.192
1.822
229
9.706
35.152
7.162
160
4,403
21,446
63
787
7.721
52.859
6.831
27.591
1.012
83.715
1.281
18.494
45.708
+ 1.1
-.6
-12.0
+4.1
+ 3.1
-1.9
-5.5
-15.8
^.5
+ 1
^9.6
+ 10.5
-11.4
(')
-19.6
-5.2
+4.3
-.2
+ 8.6
_ 2
-3.4
147.754
21.041
104.428
3.465
26.191
37.874
36,629
8,237
20,159
164,493
3,520
18,112
555,368
99,016
184,613
114,057
3,445
542,388
1,648
3,368
6,657
17,846
71,735
71,015
250,014
22,922
2.341
99.606
346.292
445.898
150,926
22,173
104,495
3,397
27.490
37.961
36.134
7,311
20.306
188.867
2.864
17,794
555.125
111.865
180.565
112..104
3.461
596.570
1,679
+4.0
-2.0
-2.8
-9.4
+ 1.7
-1.7
+5.5
+8.4
-10.0
-.9
+4.0
+2.9
+2.1
+5.4
+ .1
-2.0
+5.0
+.2
-1.4
-11.2
+.7
+ 14.8
-18.6
-1.8
(')
+ 13.0
-2.2
-1.5
+.5
+ 10.0
+ 1.9
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
'Less than one-tenth of 1 percent.
212
Table 58. — Suburban Area' Arrest Trends, Sex, 1986-1987
[4.J47 agencies; l>J87 cslimaied piipulation 73, .147.000]
OfTense charged
Tolal
Pcrccnl
change
Pcrccnl
change
Percenl
change
Percent
change
TOTAL .
Murder and nonnegiigcnt
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent cnme*
Property cnme'
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 ...
Dnving 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
2,547.162
2,609,838
+2.5
439.190
431,480
-1.8
541,423
572,631
+5.8
125,126
125,483
3.2<>2
7,940
22,470
71,5<)5
109.150
249.048
32.094
4.298
105,297
394,590
499.887
149,343
15,222
55,579
2,362
31,500
66.461
41,270
3.295
23.514
157,209
3,173
16,732
495.997
123.886
174.879
120,753
3.565
528.063
2.369
13.679
20.793
3,163
7,783
20,477
72,722
106,106
253,809
34,451
4.007
-3.9
-2.0
-8.9
+ 1.6
-2.8
+ 1,9
+7.3
-6.8
246
1.174
4.277
9.257
42.602
90573
12,754
2,059
252
1,184
4,111
9.470
41.143
89.051
13.645
2.002
+2,4
+.9
-3.9
+2.3
-3.4
-1.7
+7.0
-2.8
406
112
1,791
9,774
9,407
109,689
3,429
579
489
81
1.735
10.141
9.525
117.629
3,969
567
+20.4
-27.7
-3.1
+ 3.8
+ 1,3
+ 7.2
+ 15.7
-2.1
15
30
293
1.563
3.677
31.226
1.631
218
104,145
398,373
-1.1
+ 1.0
14,954
147.988
15,017
145,841
+ .4
-1.5
12,083
123.104
12,446
131.690
+ 3.0
+7.0
1.901
36.752
502.518
+.5
162.942
160,858
-1.3
135,187
144.136
+6.6
38.653
151.870
15.870
55.783
2,260
32,648
65,769
40,366
2,746
23,417
177,006
2,471
16,277
494,333
132,934
169.127
117,240
3,717
569,501
2,506
13,661
20,324
+ 1.7
+4.3
+ .4
^.3
+ 3.6
-1.0
-2.2
-16.7
-.4
+ 12.6
-22.1
-2.7
-.3
+7.3
-3.3
-2.9
+4.3
+7.8
+5.8
-.1
-2.3
22.704
1,492
1,433
139
8,562
32,687
7,187
77
4.294
17.641
111
482
7.556
39.048
7.198
23,871
797
66,497
933
13.679
20,793
22.822
1.476
1.231
146
8.820
32.078
6.748
67
4,123
18,181
58
508
6,680
38,387
5,674
22.609
863
66.166
1,051
13,661
20.324
+.5
-11
-14.1
+ 5.0
+3.0
-1.9
-6.1
-13.0
^.0
+3.1
^7.7
+ 5.4
-11.6
-1.7
-21.2
-5.3
+8.3
-.5
+ 12.6
-.1
-2.3
27.258
8.024
50,920
1,323
4.102
7.243
2.940
5,132
1,257
28,360
472
2,092
68,086
28.005
18.235
22.405
850
98.170
459
4,843
26,519
28,210
8,495
50,534
1,366
4.548
7.344
2.930
4.725
1.292
33,307
456
2,304
68,513
31.790
18.269
22.655
756
110.784
454
4.833
25.384
+ 3.5
+ 5.9
-.8
+ 3.3
+ 10.9
+ 1.4
-.3
-7.9
+2.8
+ 17.4
-3.4
+ 101
+.6
+ 13.5
+ .2
+ 1.1
-11.1
+ 12.8
-1.1
-.2
^.3
6.143
713
638
81
849
3,143
394
113
318
3.435
14
230
1,159
13,827
1,303
5,230
173
17,348
247
4,843
26.519
32
23
255
1.658
3,473
32,373
1.853
231
1.968
37,930
39,898
6.332
716
591
83
886
3,074
414
93
280
3.265
5
279
1.041
14,472
1,157
4,982
149
17,549
230
4.833
25.384
+.3
+ 113.3
-23.3
-13.0
+6.1
-5.5
+ 3.7
+ 13.6
+6.0
+ 3.5
+ 3.2
+3.2
+3.1
+.4
-7.4
+2.5
+4.4
-2.2
+5.1
-17.7
-11.9
-».9
-64.3
+21.3
-102
+4.7
-11.2
-AJ
-13.9
+ 1.2
-6.9
-.2
^.3
'Includes surburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups,
^Violent cnmes 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.
213
Table 59. — Suburban Area' Arrests, Distribution by Age, 1987
[5,088 agencies; 1987 estimated population 82.894.000]
OfTense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
Age
Under
10
TOTAL
Percent distiibution' .
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution^. -
Property cnme*
Percent distnbution^.
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
3,594.124
100.0
4,111
9,024
25,736
92,424
129,729
424,242
42,171
5,370
131,295
100.0
601,512
100-0
732,807
100.0
207,940
27,970
118,686
3,957
42.588
85,012
48,608
9,425
27,966
237,222
3,429
21,973
622,694
184,298
214,379
167.808
5.139
757.397
3.105
20.813
50,908
194,646
5.4
631,780
17,6
2,962,344
82.4
16.070
.4
48,086
1.3
130.490
3.6
114,349
3.2
150,669
4.2
172.116
4.8
180,585
5.0
174,303
4.8
163.203
4.5
32
443
1.137
3.771
17.441
54.889
3.942
1.562
319
1.379
5.067
12.514
50.204
138.261
17,042
2,508
3,792
7,645
20,669
79,910
79,525
285,981
25.129
2.862
3
17
44
334
1.467
4,784
53
411
7
93
217
963
4.522
16,010
425
478
22
333
876
2.474
11.452
34.095
3.464
673
37
266
899
2,062
9,533
24.191
4,084
369
96
327
1,334
3,002
11,191
29,390
4,757
315
154
343
1,697
3,679
12,039
29,791
4,259
262
197
381
1,846
3.312
10,456
26,150
3,231
228
191
345
1,614
3,432
8,153
20,707
2,543
215
183
380
1,487
3,566
6.779
17,253
2,014
169
5,383
4.1
77,834
12.9
19,279
14.7
208,015
34.6
112,016
85.3
393,497
65.4
398
.3
6,715
1.1
1,280
1.0
21,435
36
3,705
2.8
49.684
8.3
3,264
2.5
38,177
6.3
4.759
3.6
45.653
7.6
5,873
4.5
46,351
7.7
5,736
4.4
40,065
6.7
5,582
4.3
31.618
5.3
5,616
4.3
26,215
4.4
83,217
11.4
227,294
31.0
505,513
69.0
7,113
1.0
22,715
3.1
53,389
7.3
41,441
5.7
50,412
6.9
52,224
7.1
45,801
6.3
37,200
5.1
31,831
4.3
11,947
361
274
23
2,821
19,152
2,136
20
2,229
2,869
12
275
139
3,945
833
9,720
272
28,322
418
5,636
20.025
33.365
2.484
2,029
242
11,201
40,357
8,109
212
4,960
24,196
75
862
8,468
58,764
7.665
32.670
1.097
94.681
1.328
20,813
50,908
174,575
25,486
116,657
3,715
31,387
44,655
40,499
9,213
23,006
213,026
3,354
21.111
614,226
125,534
206.714
135,138
4,042
662.716
1.777
997
9
27
2
112
2.804
96
158
136
50
36
150
48
826
17
2.518
40
113
817
3,348
63
52
10
546
6.055
433
600
262
44
13
262
56
2,627
51
6,514
102
891
3,440
7.602
289
195
II
2,163
10.293
1,607
17
1,471
2,471
12
181
90
3.533
729
6.267
204
19,290
276
4,632
15,768
5,819
351
290
18
2,124
6,492
1,498
29
892
3,908
19
172
310
7,551
1,224
5,512
213
17,761
266
4,927
13,5.32
7,191
658
431
68
2,972
7,337
2,055
67
902
7,064
12
210
2,109
17,887
2,055
7,935
278
22,440
355
6,202
12,029
8,408
1,114
1,034
133
3,284
7,376
2,420
96
937
10.355
32
205
5,910
29,381
3,553
9,503
334
26,158
289
4,048
5.322
7,719
1,384
2.198
180
3.253
5.457
2.726
306
912
12,980
42
581
13,682
32.781
6.110
10.019
314
33.961
179
8.073
1.558
3,381
183
2,866
4,264
2,624
407
950
13,270
39
515
17,613
27,666
6.777
9.481
310
36,971
155
8,001
1,509
4,317
205
2.339
3.379
2.345
456
908
13.009
42
632
21.177
19.327
7.100
8.969
233
37.310
114
158,925
4,4
177
381
1,499
3,999
5,744
15,368
1,716
174
6,056
46
23,002
3.8
29,058
4.0
8.798
1,590
5,148
184
2,212
3,123
2,345
534
919
13,275
61
821
27,422
6,211
8,847
9,266
260
38,736
115
See footnotes at end of table.
214
Table 59. — Suburban Area' Arrests, Distribution by Age, 1987 — Continued
Offense charged
Age
65 and
over
TOTAL
Percent distribution' .
Murder and nonnegligeni
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larccny-lheft
Motor vehicle theft
Arson
Violent cnme'
Percent distnbution'..
Property cnme*
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
tralTic)
Suspicion
Curfew and loitering law
violations
Runaways
15«,432
4.4
191
353
1,339
3,984
5,203
14,201
1.571
156
5.867
4.5
21,131
3.5
26,998
3.7
9.095
1,511
5,420
181
1,846
2,824
2.283
541
909
13,504
68
879
29.400
4.995
8.985
8.601
203
38.069
120
155,959
4.3
151,630
4.2
645,770
18.0
450,245
12.5
288,014
8.0
172,662
4.8
102,983
2.9
64,657
1.8
43,150
1.2
177
387
1,290
4,116
4,767
13,431
1,491
154
184
366
1,226
4,179
4,145
12,807
1,269
125
792
1,741
4,989
18,455
15,247
54,420
5,005
552
560
1.246
2.833
13,585
9.467
41.620
3.048
436
402
895
1.487
8,698
4,710
26.812
1.588
250
286
495
550
5.222
2.025
14.874
779
165
162
277
260
3.058
919
8.892
432
97
108
158
121
1.755
418
6.104
247
61
65
97
78
1,159
231
4.765
116
46
5.970
4.5
19.843
3.3
5.955
4.5
18.346
3.0
25.977
19.8
76.224
12.7
18,224
13.9
54,571
9.1
11,482
8.7
33,360
5.5
6,553
5.0
17,843
3.0
3,757
2.9
10,340
1.7
2,142
1.6
6,830
1.1
1,399
1.1
5,158
.9
25,813
3.5
24,301
3.3
102,201
13.9
72,795
9.9
44,842
6.1
24,396
3.3
14,097
1.9
8,972
1.2
6,557
.9
9.331
1.518
6.010
184
1,809
2,600
2,227
582
956
13,644
77
961
31,080
4,090
9,351
7,863
205
37.566
92
9.518
1.372
6.012
175
1.654
2.456
2.131
558
901
13,189
76
999
31,691
3,302
9,180
7,373
197
36,465
41,376
5,972
27,113
844
6,310
8,767
8,642
2,472
4,552
55.083
438
4,864
141,577
11,372
42,373
28,097
853
152,484
380
28,937
4,199
22.089
619
4,116
5,318
5,996
1,626
3,631
33.849
447
4.407
103,274
6.124
33,607
17,822
594
100,552
243
17,980
2,495
15,650
411
2,383
2.927
3,765
816
2,777
17,774
426
3,062
70,705
3,637
24.536
10.960
386
62,356
126
11,073
1,285
9,253
267
1,189
1,573
2.264
379
1.955
7.460
424
1,784
47,365
2,139
16,589
6.556
217
36,424
70
5,326
540
4,927
128
538
805
1,293
212
1,213
3,256
356
841
30,346
1,448
11,521
3.873
102
21,010
41
3,560
301
2,419
74
370
479
755
129
779
1.406
309
412
20,277
960
8,302
2.458
66
12.589
29
2,159
119
1,368
44
202
291
503
631
708
241
191
13,493
553
6,153
1.596
45
8,099
14
27,238
41
57
23
570
125
3,574
37
22
801
.6
3,758
.6
4,559
.6
1,321
76
744
22
119
182
284
55
438
353
150
79
8,318
431
4,025
1,115
24
4,922
9
26,588
.7
75
76
27
720
136
5,003
42
12
899
.7
5,193
.9
6,092
1,308
57
608
14
81
210
315
56
575
256
148
83
6,806
398
3,257
1.079
33
5.202
10
'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 arc offenses of murder, forcible rape, robbery, and aggravated asault.
'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
215
Table 60. — Suburban Area' Arrests of Persons under 15, 18, 21 and 25 Years of Age, 1987
[5,088 agencies; 1987 eslimated population 82.894,000)
Offense charged
Total
all ages
Number of persons arrested
Under 15
Under 18
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-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 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 traffic)
Suspicion
Curfew and loitering law violations
Runaways
3,S94,124
4,111
9,024
25,736
92,424
129,729
424,242
42,171
5,370
131,295
601,512
732,807
207,940
27,970
118,686
3,957
42,588
85,012
48,608
9,425
27,966
237,222
3,429
21,973
622.694
184,298
214,379
167,808
5.139
757,397
3,105
20,813
50,908
194,646
631,780
1,149,871
1,772,817
5.4
17.6
32
443
1,137
3,771
17,441
54,889
3,942
1,562
319
1,379
5,067
12,514
50,204
138,261
17,042
2,508
890
2,485
10,014
22,824
75,592
202,371
24,830
3,120
1,619
3,972
15,368
39,102
95,451
258,178
30,877
3,729
4.9
44
4.1
13.4
12.9
9.3
29.1
7.8
15.3
19.7
13.5
38.7
32.6
40.4
46.7
5,383
77,834
19,279
208,015
36,213
305,913
60,061
388,235
4.1
12,9
14.7
34.6
83,217
227,294
342,126
448,296
11.4
31.0
11,947
361
274
23
2,821
19,152
2,136
20
2,229
2,869
12
275
139
3,945
833
9.720
272
28,322
418
5,636
20,025
33,365
2,484
2,029
242
11,201
40,357
8,109
212
4,960
24,196
75
862
8,468
58,754
7.655
32.670
1,097
94,681
1,328
20,813
50.908
57,158
5,935
11,925
810
19,659
53,457
15,804
1,381
7,730
63,455
198
2,590
60,940
138,538
27,652
61,139
1,954
202,923
1,776
20,813
50,908
93,900
12,926
34,515
1,534
27,180
64,460
24,790
3,596
11,415
117,057
480
5,250
180,533
157,136
64,015
94,242
2,819
353.759
2.183
20,813
50,908
5.7
1.3
.2
.5
6.5
22.5
4,4
.2
8.0
1,2
,3
1,3
(')
2.1
.4
5.8
5.3
3.7
13.5
27.1
39,3
16,0
8.9
1.7
6.1
25.3
47.5
157
2.2
17.7
10.2
2.2
3.9
1.4
31.9
3.6
19.5
21.3
12.5
42,8
100.0
100,0
32.0
21,6
27.5
38.9
247
58.3
47.7
58.9
58.1
27.5
50,9
46.7
27.5
24.8
10.0
20.5
46.2
62.9
32.5
14.7
27.6
26.7
5.8
II
9.8
75.2
12.9
36.4
38.0
26,
57,2
100.0
100.0
49.3
39.4
44.0
59.7
42.3
73.5
60.9
73.2
59.4
45.7
64.5
61.2
45.2
46.2
29.1
38.8
53.8
75.8
51.0
38.2
40.8
49.3
14.0
28.4
29.0
85.3
29.9
552
54.9
45.7
70.3
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, larceny-theft, motor vehicle theft, and arson.
^Includes arson,
^Less than one-tenth of 1 percent.
216
Table 61. — Suburban Area' Arrests, Distribution by Sex, 1987
(5.088 agencies; 1987 eslimaled porulalion 82,894.000]
OfTense chtrged
Number of persons arrested
Male
Percent
male
Percent
female
Percent distribution'
Male
TOTAL
Muitjer and nonnegligent manslaughler
Forcible rape
Robbery
Aggravated assaull
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 commerciahzed 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
Curfew and loitering law violations
Runaways
3,594,124
4,111
9,024
25,736
92,424
129,729
424,242
42,171
5,370
131.295
601,512
732.807
207.940
27.970
118.686
3,957
42,588
85.012
48.608
9,425
27,966
237,222
3,429
21,973
622,694
184,298
214,379
167.808
5.139
757,397
3.105
20.813
50.908
2,947,168
646,956
82.0
18.0
3,570
8,935
23,696
81,024
119,322
289,445
37,780
4,711
117,225
451,258
568.483
175.412
18,196
62.516
2.492
37.388
76.474
45.298
3,529
26,522
199,994
2,898
19,319
547,066
148,782
193,621
140,543
4,279
633,844
2.641
15.356
22.515
541
89
2,040
11,400
10,407
134.797
4.391
659
86.8
99.0
92.1
87.7
92.0
68.2
89.6
87.7
13.2
1.0
7.9
12.3
8.0
31.8
10.4
12.3
14,070
150,254
89.3
75,0
10.7
25.0
164,324
77.6
22.4
32,528
9,774
56,170
1,465
5,200
8,538
3,310
5,896
1,444
37.228
531
2,654
75,628
35,516
20,758
27,265
860
123,553
464
5,457
28,393
84.4
65.1
52.7
63.0
87.8
90.0
93.2
37.4
94.8
84.3
84.5
87.9
87,9
80,7
90.3
83.8
83.3
83.7
85.1
73.8
44.2
15.6
34.9
47.3
37.0
12.2
10.0
6.8
62.6
5.2
15.7
15.5
12.1
12.1
19.3
9.7
16.2
16.7
16.3
149
26.2
55.8
100.0
,1
.3
,7
2.6
3.6
11.8
1.2
,1
3.7
16.7
20,4
6,6
.1
.6
17.3
5.1
6.0
4.7
.1
21.1
.1
.6
1.4
100.0
.1
.3
.8
2.7
4.0
9.8
1.3
.2
40
15,3
19.3
6.0
.6
2.1
.1
1.3
2.6
1.5
.1
.9
6.8
.1
.7
18.6
5.0
6.6
4.8
.1
21.5
.1
.5
100.0
.1
(')
.3
1.8
1.6
20.8
.7
.1
2,2
23,2
25.4
5.0
1.5
8.7
.2
.8
1.3
.5
.9
.2
5.8
.1
.4
11.7
5.5
3.2
42
.1
19.1
.1
.8
4.4
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
^Because of roundtng, 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 crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
217
Table 62. — Suburban Area' Arrests, Distribution by Race, 1987
[5,050 agencies; 1987 estimated population 82,570,000]
OfTense charged
TOTAL.
Murder and nonnegligent manslaughter.
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime
Property cnme*
Crime Index total'.
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
Vandalism
Weapons; carrying, possessing, etc.
possessmg .
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)..
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations..
Runaways
3,571,458
4.10.1
8,999
25,682
92.229
129,384
423,285
42,071
5,353
131,013
600,093
731.106
See footnotes at end of table.
207,615
27.861
118,555
3,957
42,423
84,763
48,456
9,421
27,905
236,409
3,425
21,831
609,649
183,563
213,737
167,264
5,127
754.328
3,081
20,394
50,588
2,879,450
2,738
6,044
12,377
65,085
99,507
306,298
31,238
4,526
86,244
441.569
527,813
157,387
20,113
85,292
2.885
29,545
73,213
36,738
6,166
24,311
180.673
2,192
15,318
566,499
172,235
187,350
137,636
3,935
584,098
2,653
18,156
45,242
665,684
1,321
2.877
13.154
26,355
29,048
112,604
10.474
774
43,707
152,900
196,607
48,460
7,603
32,865
1,048
12,565
11.082
11,356
3,151
3,395
54,788
1,213
6,444
38,949
10,241
23,716
28.663
1,120
164,881
41
2.152
4,967
American
Indian
Alaskan
Nalive
13.607
22
44
78
391
408
1.606
158
28
535
2.200
2,735
909
60
210
5
150
229
111
42
81
498
3
45
1,891
681
2,144
611
44
2.935
6
38
179
Pacific
Islander
12,717
22
34
73
398
421
2,777
201
25
527
3,424
3,951
859
85
1
19
163
239
251
62
II
450
17
24
2.310
406
527
354
28
2,414
4
48
200
Percent distribution"
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
100,0
100.0
100,0
100.0
100.0
100.0
100.0
100.0
100,0
100,0
100.0
100,0
80.6
66,7
67,2
48.2
70,6
76,9
72.4
74.3
84.6
65.8
73.6
72.2
75.8
72,2
71.9
72.9
69.6
86.4
75,8
65.4
87,1
76,4
64,0
702
92.9
93.8
87.7
82,3
76,8
77.4
86.1
89.0
89.4
18.6
32.2
32.0
51.2
28.6
22.5
26.6
24.9
14.5
33.4
25.5
26.9
American
Indian
Aiasltan
Nalive
Pacific
Islander
23.3
27.3
27.7
26.5
29.6
13.1
23.4
33.4
12.2
23.2
35.4
29.5
6.4
5.6
11.1
17 1
21.8
21.9
13.6
10.6
9.8
.2
.3
.4
1,0
,4
.9
.4
.2
.2
218
Table 62. — Suburban Area' Arrests, Distribution by Race, 1987 — Continued
OfTense charged
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robber>
Aggravated assault
6urgiar>'
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime*
Cnme Indei 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
Arrcsls under 18
628,699
319
1.377
5.056
12,481
50.032
137.874
16.986
2.498
19,233
207.390
226.623
33.293
2.473
2.027
242
11,146
40.220
8,083
212
4.946
23.805
75
848
8.334
58.499
7.595
32.615
1,091
94,264
1,326
20,394
50,588
522,309
201
839
2,261
8.154
41.528
106.891
12,782
2,242
11,455
163,443
174.898
24,156
2,115
1,601
178
7.906
36.090
6.268
158
4.105
19,212
27
754
8,132
56,989
7,179
27.301
950
79.704
1.188
18.156
45.242
101,839
111
536
2.761
4.242
8.127
29.470
4,014
230
7,650
41,841
49,491
8,901
339
408
63
3.152
3,930
1.743
53
821
4.500
48
89
159
1.256
318
5.193
124
13.998
134
2.152
4.967
Amcnt-an
Indian
Alaskan
Native
1,776
5
2
19
29
167
465
59
9
55
700
755
101
7
4
35
79
10
4
28
141
76
48
4
217
2
38
179
Pacific
Islander
2,775
15
56
210
1.048
131
17
73
1.406
1,479
135
12
14
1
53
121
62
I
15
50
1
15
113
22
73
13
345
2
48
200
Percenl distnbulion^
100.0
100 0
100,0
100.0
100,0
100,0
1000
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
100.0
100.0
lOO.O
100.0
100.0
83.1
63.0
60.9
44.7
65.3
83.0
77.5
75.3
89,8
59.6
78
77.2
72.6
85.5
79,0
73,6
70.9
89.7
77.5
74.5
83.0
80,7
36,0
88,9
97,6
97.4
94.5
83.7
87.1
84.6
89,6
89,0
89,4
16.2
34,8
38,9
54.6
34,0
16.2
21.4
23.6
9,2
39,8
20.2
26,7
13,7
20,1
26.0
28.3
9.8
21.6
25.0
16.6
18.9
64.0
10.5
1.9
2.1
4,2
15,9
11,4
14.8
10.1
10.6
9.8
American
Indian
Alaskan
Native
Pacific
Islander
.1
.2
.2
.3
.2
1.2
.4
.2
.2
.4
See footnotes at end of table.
219
Table 62. — Suburban Area' Arrests, Distribution by Race, 1987 — Continued
Offense charged
Arrests 18 and over
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution
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 totalV.
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing .
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)..
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations .
Runaways
2,942,759
3,784
7.622
20,626
79,748
79,352
285,411
25,085
2.855
111,780
392,703
504,483
174,322
25,388
116,528
3,715
31,277
44,543
40,373
9,209
22,959
212,604
3,350
20,983
601,315
125,064
206,142
134,649
4,036
660,064
1,755
2,357,141
563,845
11.831
9,942
100.0
2.537
5,205
10,116
56,931
57,979
199,407
18,456
2,284
1,210
2,341
10,393
22,113
20,921
83,134
6,460
544
17
42
59
362
241
1,141
99
19
20
34
58
342
211
1,729
70
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
67.0
68.3
49.0
71.4
73.1
69.9
73.6
80.0
74,789
278,126
36,057
111,059
480
1,500
454
2,018
100.0
100.0
66.9
70.8
352,915
147,116
1.980
2,472
100,0
70.0
133,231
17,998
83,691
2,707
21,639
37,123
30,470
6,008
20,206
161,461
2,165
14,564
558,367
115,246
180.171
110,335
2,985
504,394
1,465
39,559
7,264
32,457
985
9,413
7,152
9,613
3,098
2,574
50,288
1,165
6,355
38,790
8,985
23,398
23,470
996
150,883
284
53
206
5
US
150
101
42
76
455
3
41
1,863
540
2.068
563
40
2,718
4
724
73
174
1
110
113
189
61
103
400
17
23
2,295
293
505
281
15
2,069
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
100.0
100,0
100.0
100.0
100.0
100.0
100.0
76,4
70.9
71.8
72.9
69.2
83.3
75.5
65.2
88.0
75.9
64.6
69.4
92.9
92.1
87.4
81.9
74.0
76.4
83.5
19.2
32.0
30.7
50.4
27.7
26.4
29.1
25.8
19.1
32.3
28.3
29.2
22.7
28.6
27.9
26.5
30.1
16.1
23.8
33.6
11.2
23.7
34.8
30.3
6.5
7.2
11.4
17.4
24.7
22.9
16.2
'Includes suburban city and counly 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 arc offenses of murder, forcible rape, robbery, and aggravated assault.
*Propcrty crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
includes arson.
220
Table 63. — Arrests by Sute, Crime Index Offenses, 1987
(1987 estimated population]
Total'
•II
classes
Crime*
Index
total
Violent'
crime
Property
crime
Murder
and non-
negtigent
man-
slaughter
Forcible
rajK
Robbery
Aggravated
assault
Burglary
Larceny-
theft
Motor
vehicle
then
ALABAMA: 212 agencies:
population 3,314,000:
Under 18
Total all ages
ALASKA: 21 agencies:
population 492.000:
Under 18
Total all ages
ARIZONA: 84 agencies;
population 3,046.000:
Under 18
Total all ages
ARKANSAS: 177 agencies;
population 2.330,000:
Under 18
Total all ages
CALIFORNIA: 691 agencies;
population 27,320,000:
Under 18
Total all ages
COLORADO: 206 agencies;
population 3,208,000:
Under 18
Total all ages
CONTVECnCUT; 91 agencies;
population 2,463,000;
Under 18
Total all ages
DELAWARE: S3 agencies;
population 573,000;
Under 18
Total all ages
DISTRICT OF COLUMBIA:
1 agency;
population 622,000:
Under 18
Total all ages
FLORIDA: 696 agencies;
population 11,796,000:
Under 18
Total all ages
GEORGIA: 361 agencies:
population 4,359,000:
Under 18
ToMi all ages
HAWAII: 5 agencies:
population 1,083,000:
Under 18
Total all ages
IDAHO: 93 agencies;
population 951,000:
Under 18
Total all ages
ILLINOIS: 496 agencies;
population 10,769,000:
Under 18
Total all ages
See footnotes at end of table
9,874
155,847
7,657
49,783
43,231
211.463
12,675
117,255
216,743
1,701,526
45,301
236,516
27,901
177,270
3,961
20,725
6,377
49,808
97,697
679,259
9,676
188,252
16,139
54,802
11,859
38,052
109,812
478,461
4,295
24,011
3.016
9.759
16,508
53,873
5,145
19,480
89,144
377,966
16.362
45.829
9.735
39,909
1,643
5,652
2,282
10,554
50,349
177,029
4,408
34,643
5,711
12,474
5,050
9,702
39,322
113,022
344
4,802
112
1.401
976
7,800
312
3,176
12,024
104,795
1,005
5,993
1,000
7,340
147
949
572
3,258
6,671
38,271
418
i,009
290
1,297
279
1,168
3,805
15.238
3.951
19.209
2,904
8,358
15,532
46,073
4,833
16.304
77.120
273.171
15.357
39.836
8,735
32,569
1,496
4,703
1,710
7,296
43,678
138,758
3,990
26,634
5,421
11,177
4,771
8,534
35,517
97,784
12
325
24
10
178
9
147
364
3,054
17
165
12
164
10
131
100
1,021
21
465
57
470
3
123
51
278
37
366
520
4,542
70
441
64
366
34
151
14
111
434
2,078
38
566
22
143
116
932
205
1,110
113
636
4,397
23,327
204
1,007
349
1,659
31
180
226
990
2,046
9,532
122
1,660
162
470
99
1,089
375
1,695
90
2,162
5,799
159
3,075
99
1,168
710
6,234
153
2,027
6,743
73,872
714
4,380
575
5,151
595
322
2,026
4,091
25,640
237
5,318
100
617
260
1,010
1,169
6,655
775
3,640
524
1,225
2,878
6,887
1,184
3,358
21,027
73,583
2,501
5,252
1,841
5,799
280
743
202
1,054
13,472
35,775
1,110
6,495
882
1,715
997
1,834
6,361
14,029
2,947
14,531
2,191
6,601
11,700
37,251
3,367
12,206
42,246
159,057
11,374
31,777
6,020
24,913
1,157
3,820
363
3,717
24,980
90,082
2,620
18,530
3,911
8,455
3,570
6,345
26,110
76,958
203
898
173
411
787
1,627
248
610
12,861
38,405
1,269
2,452
779
1,609
51
123
1,141
2,480
4,988
12,127
236
1,366
592
948
159
278
2,751
6,117
26
140
16
121
167
308
34
130
986
2,126
213
355
95
248
4
45
238
774
24
243
36
59
43
77
295
680
221
Table 63. — Arrests by State, Crime Index Offenses, 1987 — Continued
Cnme"
Index
lolal
Violent'
cnme
Property*
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
INDIANA: 121 agencies;
population 3,188,000:
Under 18
Toial all ages
IOWA: 222 agencies;
population 2,777.000:
Under 18
Total all ages
KANSAS: 129 agencies;
population 1,987.000:
Under 18
Total all ages
KENTUCKY':
LOUISIANA: 81 agencies;
population 2.665,000:
Under 18
Total all ages
MAINE: 134 agencies;
population 1,177,000:
Under 18
Total all ages
MARYLAND: 80 agencies;
population 3.394,000:
Under 18
Total all ages
MASSACHUSETTS: 86
agencies; population 1,621,000:
Under 18
Total all ages
MICHIGAN: 447 agencies;
population 8.277,000:
Under 18
Total all ages
MINNESOTA: 288 agencies;
population 4,246.000:
Under 18
Total all ages
MISSISSIPPI: 49 agencies;
population 881.000:
Under 18
Total all ages
MISSOURI: 159 agencies;
population 3,066,000:
Under 18
Total all ages
MONTANA':
See footnotes at end of table.
29,389
121,638
19,187
87,762
19,529
90,419
18.124
121.806
9,361
42.836
27,481
163,966
7.481
56.579
58.721
342.172
39.155
153.912
6,113
52,288
26,985
191,010
9.662
24,189
7,282
21,615
7,612
20,595
8,305
34,736
4,098
9,467
12.333
40.577
2.934
13.641
24.300
77.792
15.942
38.245
2,791
10,941
10.934
40,649
974
4,133
416
3,151
533
2,502
936
8,044
157
967
1.807
8,457
461
3.842
3.674
20.098
958
4.816
170
1,862
1,844
9,181
8,688
20,056
6,866
18,464
7,079
18,093
7,369
26,692
3.941
8.500
10,526
32.120
2.473
9,799
20.626
57.694
14.984
33,429
2,621
9,079
9,090
31,468
7
168
19
225
23
26
256
214
1,739
12
112
6
126
35
349
22
183
33
124
39
215
62
439
112
538
27
286
370
2,194
85
519
38
195
167
720
165
744
347
106
455
146
951
48
185
707
2,668
137
741
1,010
4,852
263
995
48
339
465
2.208
780
3.038
302
2.629
381
1.748
709
6,419
104
689
962
4,995
291
2,776
2,080
11,313
598
3,190
78
1.202
1.177
5,904
1,453
3,399
1,306
2.946
1,511
3,345
1,881
6,172
878
1,806
2.242
7.923
786
2.679
4.655
13.028
2.287
4,748
778
2,223
2,000
6,058
6,460
15,222
5,109
14,677
5.149
13.885
5.184
19.519
2,708
5,947
5.811
19.585
1.181
5.999
14.095
39.991
10,876
25,472
1,590
6,412
6,195
23,258
689
1,258
348
652
357
746
250
806
275
591
2,314
4,293
453
1,008
1,641
3,885
1,563
2,950
135
381
773
1,837
222
Table 63. — Arrests by State, Crime Index Offenses, 1987 — Continued
Tolal
nil
classes
Cnme'
Index
total
Violent'
cnme
Propcny*
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglary
Larceny-
thefl
Motor
vehicle
theft
NEBRASKA: 20.1 agencies.
population 1.420.000:
Under 18
Tolal all ages
NEVADA: 16 agencies;
population 758,000:
Under 18
Tolal all ages
NEW HAMPSHIRE: 81
agencies,
population 82').000:
Under 18
Tolal all ages
NEW JERSEY: 533 agencies:
population 7,371,000:
Under 18
Tolal all ages
NEW MEXICO: 44 agencies:
population 898,000:
Under 18
Total all ages
NEW YORK: 547 agencies:
population 16,589.000;
Under 18
Tolal all ages
NORTH CAROLINA: 320
agencies:
population 5,518,000:
Under 18
Total all ages
NORTH DAKOTA: 70 agencies;
population 591.000;
Under 18
Total all ages
OHIO: 284 agencies;
population 6.591.000:
Under 18
Tolal all ages
OKLAHOMA: 280 agencies;
population 3,240.000:
Under 18
Tolal all ages
OREGON: 166 agencies;
population 2.620.000;
Under 18
Total all ages
PENNSYLVANIA: 722 agencies;
population 8.649,000:
Under 18
Total all ages
RHODE ISLAND: 42 agencies;
population 930,000:
Under 18
Total all ages
See footnotes at end of table
12.203
58.107
9,566
74.248
7.235
38.794
91,225
341.533
9,810
54,149
158,302
1,190,190
30.878
377.305
6,161
21,119
61.331
305.769
22.342
140,375
28.010
111,833
85.907
312.906
8,343
41,085
4.905
12,790
2,931
12.092
1,908
5.037
24.040
72.105
3.942
13.291
43.803
190,664
12.790
61.567
2.190
4,551
18,914
55,411
10,198
27,468
11,708
34,220
21.706
70.134
2.595
8.132
123
989
239
2,089
79
547
4.101
17.854
285
1.878
11.610
64,826
1.379
16,225
24
202
1,667
10,331
701
4.452
484
3,157
3.332
17.278
266
1,486
4,782
11,801
2,692
10.003
1.829
4.490
19.939
54,251
3.657
11,413
32,193
125,838
11,411
45,342
2.166
4,349
17.247
45.080
9,497
23.016
11.224
31.063
18,374
52,856
2,329
6.646
34
250
175
1,525
21
468
25
418
14
203
16
148
32
550
28
171
30
243
II
116
209
1.275
21
117
320
2.393
77
807
258
1.209
111
437
53
319
216
1,354
13
130
53
248
71
646
29
128
1,644
4,773
62
227
6.560
27.008
272
1.869
678
3,171
159
909
221
1,285
1,768
6.512
39
247
40
529
135
1,123
35
283
2.214
11,556
193
1,469
4,555
33.900
1,009
13.081
13
148
706
5.533
417
2,903
194
1.405
1,316
8,862
214
1,091
651
1,455
554
2,075
411
833
4,551
10,652
603
1.563
7.079
24,838
3.146
12,871
283
520
3,480
8,647
2,432
5,992
2,155
5,319
4,162
11.907
640
1.704
3.937
9.931
1,991
7,483
1.273
3,376
13,405
39,847
2,883
9,360
20,624
85,147
7,446
29,937
1,693
3,492
12.049
32.992
6,083
14,834
7.974
23,033
11,633
35,043
1,487
4,457
154
325
139
405
127
248
1.771
3.223
148
387
4.059
14,682
736
2,160
162
227
1,502
2,876
801
1,860
922
2.442
2,290
5,103
175
418
40
90
40
18
33
212
529
23
103
431
1,171
83
374
28
110
216
565
181
330
173
269
289
803
27
67
223
Table 63. — Arrests by State, Crime Index Offenses, 1987 — Continued
Tola:'
all
classes
Crime"
Index
total
Violent
cnme
Property'
cnme
Murder
and non-
neghgent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
SOUTH CAROLINA: 131
agencies; population 3,013,000:
Under 18
Total all ages
SOUTH DAKOTA: 39 agencies;
population 333,000:
Under 18
Total all ages
TENNESSEE; 133 agencies;
population 2,572,000:
Under 18
Total all ages
TEXAS: 760 agencies;
population 16,442,000:
Under 18
Total all ages
UTAH: 86 agencies;
population 1,466,000:
Under 18
Total all ages
VERMONT: 20 agencies;
population 404,000:
Under 18
Total all ages
VIRGINIA: 393 agencies;
population 5,800,000:
Under 18
Total all ages
WASHINGTON: 152 agencies;
population 3,612,000:
Under 18
Total all ages
WEST VIRGINIA: 294 agencies
population 1,877,000:
Under 18
Total all ages
WISCONSIN: 245 agencies;
population 4,442,000:
Under 18
Total all ages
WYOMING: 71 agencies;
population 489.000:
Under 18
Total alt ages
14.845
146,232
3.598
15,740
17,649
133,293
134,993
858.452
28,933
83,781
1,180
9,627
37.683
342,369
37,002
174,666
5,873
63,065
82,272
293,017
4,530
21,640
6,868
25,357
1.223
2,819
6,353
23,487
53,351
191,437
12,106
22,738
593
2,226
12.422
49,626
16,766
44.655
2,449
10,190
23,844
55,399
1,256
3.449
664
5.462
34
233
735
5,155
3,565
27.276
619
1,783
24
257
937
8,154
648
4,340
100
1,495
1,282
6,522
40
464
6,204
19,895
1.189
2,586
5.618
18,332
49,786
164.161
11,487
20,955
569
1,969
11.485
41,472
16,118
40,315
2.349
8,695
22.562
48.877
1,216
2.985
19
270
24
210
146
1.457
19
426
12
125
29
262
102
641
141
532
256
2.120
25
126
87
820
94
590
12
137
130
714
127
836
246
1,124
1,326
7,538
105
307
417
2,019
131
818
34
296
395
1,272
416
3.715
19
168
324
3,289
1,837
16,161
484
1.312
19
204
414
4,889
411
2,807
49
982
728
4,274
28
363
1,778
5,012
170
377
1,058
3,670
13,530
35.440
1,458
2.435
171
507
2,601
7,800
3,061
6.512
659
2,005
3,491
6,539
185
486
4.011
13,884
972
2,109
3,742
12.892
31.617
115.256
9,191
17,318
376
1,391
7,714
30,518
11,870
31.560
1,443
6,081
17,009
38,949
952
2,334
359
805
780
1.596
4,346
12.600
714
1,033
1.031
2,742
1.027
1,920
217
506
1,825
3,008
61
138
'Docs not include trafTic arrests
includes arson.
Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault
^Property crime includes offenses of burglary, larceny-theft, motor vehicle theft, and arson
'Complete arrest data were not available at the deadline for publication of this table. Complete data may now be available from the State Uniform Crime Reporting Program
listed in Appendix V
NOTE; Direct comparisons of arrest totals listed in this table should not be made with prior years' issues.
224
Table 64. — Police Disposition of Juvenile Offenders Taken into Custody. 1987
[\^$1 esdmalcd population]
Populalion group
Total'
Handled
within
department
and released
Referred to
juvenile
court
Jurisdiction
Referred lo
welfare
agency
Referred to
other police
agency
Referred lo
cnminal or
adult court
TOTAL ALL AGENCIES: 8,692 .gencies; populition 167,697,000:
1,172,585
100.0
355,602
30.3
726,634
62.0
16,807
1.4
12,289
1.0
61,253
5.2
Percent'
TOTAL C'lllES: 5.838 cities: population 113,511,000:
Number
983,672
301,706
607,787
61.8
13,341
1.4
10,130
1.0
50,708
5,2
Peiwnt
100.0
30.7
Group I
49 cilies. 250.000 and over; population 31,494,000:
253,667
75,515
29.8
169,013
66.6
3,485
1.4
2,679
1.1
2,975
1.2
Percent
100.0
Group II
96 cities, 100,000 to 249,999; population 13,772,000:
112,254
33,227
73 937
1,500
1.3
627
2,963
2.6
Percent
100.0
29.6
65.9
.6
Group III
254 cities. 50.000 to 99,999; population 17,301,000:
133,924
44,837
33 5
79,074
59 0
1,740
] 3
1,490
1 1
6,783
5.1
Percent
100 0
Group IV
506 cilics, 25,000 to 49,999; population 17.444.000:
Nutnber
161 808
49,668
307
98,742
61.0
2,029
1.3
2,064
1.3
9,305
58
Percent
100.0
Group V
1.184 cilies. 10,000 to 24,999; population 18,742,000:
180.476
58,112
105,519
2,329
1.3
1,632
.9
12,884
7.1
Percent
100.0
32.2
58.5
Group VI
3.749 cilies under 10,000; population 14,758,000:
Number
141 543
40,347
28.5
81,502
57.6
2,258
1.6
1,638
1.2
15,798
11.2
Percent
100.0
Suburban Counties
967 agencies: population 34.356,000:
Number
137,908
41,579
86,833
1,936
1,121
6,439
Percent
100.0
301
63.0
1.4
.8
4.7
1,887 agencies; population 19,830,000:
Number
51 005
12 317
32,014
62.8
1,530
3.0
1,038
2.0
4,106
8.1
Percent
100.0
24.1
Suburban Area'
4.263 agencies; population 79,754,000:
512,110
178 397
287,550
56.2
6,828
1.3
4,731
.9
34,604
6 8
100.0
34.8
'Includes all offenies except traffic and neglect cases.
"Because of rounding, the percentages may not add to total,
Includes suburban aty and county law enforcement agencies within metropolitan
areas. Excludes central cities. Suburban cities and counties are included in other groups.
225
2jaiu lEnfnrr^mwt (Eah^ nf lEtljtrB
Ah a iCam lEnforrf mpttt ©fftrpr. my funJ^meniJ Jut^ u to
serve manni'na; to iafequara liuei ana propertu; to protect tne innocent aqainit
deception, the wean aqainit oppreiiion or intimiaation, ana tne peaceful
against violence or aiiorder; ana to respect the (constitutional riahts of all
men to fioertu, equatitu ana justice.
tain coura-
][ lUlii neep mu private life unsullied as an example to all; mainta
qeouS calm in the face of danger, scorn, or ridicule; develop self-restraint; and
Be constantlu mindful of the welfare of others. ^J'ionest in thought and deed
in both mu personal and Of ficial life, Jf will oe exempiaru in ooeuing the laws
of the land and the regulations of mu department. lAJnatever .jf see or hear of
a confidential nature or that is confided to me in mu official capacitu will oe
kept ever secret unless revelation is necessaru in the performance of mu dutu.
It mm never act of ficiousiu or permit personal feelings, prejudices, anintos-
ities or friendships to influence mu decisions. lA/ith no compromise for crime
and with relentless prosecution of criminals, .J will enforce the law courteously
and approprtatelu without fear or favor, malice or ill will, never emplouinq
unnecessary force or violence and never accepting gratuities.
It rPfOQtltZP the bad^e of mu office as a symbol of public faith, and
.Jr accept it as a public trust to be held so long as .Sf am true to the ethics of
the police service. .Sf will constantlu strive to achieve these objectives and ideals,
dedicating myself before y-jod to mu chosen profession . . . taw enforcement.
226
SECTION V
LAW ENFORCEMENT PERSONNEL
The Nation's law enforcement community employed an
average of 2.1 full-time officers for every 1,000 inhabitants
as of October 31, 1987. Considering full-time civilians, the
overall law enforcement employee rate was 2.8 per 1,000
inhabitants according to 12,149 city, county, and state
police agencies reporting in 1987. These agencies
collectively offered law enforcement service to a population
of nearly 227 million, employing 480,383 officers and
160.785 civilians.
Varying demographic and other jurisdictional
characteristics greatly affect the requirements for law
enforcement service from one locale to another. The needs
of a community having a highly mobile or seasonal
population, for example, may be very different from those of
a city whose population is 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
averages; 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 affecting
service requirements in that jurisdiction.
The law enforcement employee average for all cities
nationwide in 1987 was 2.6 per 1,000 inhabitants. By
population grouping, city law enforcement employee
averages ranged from 2. 1 per 1,000 inhabitants in those with
populations from 10,000 to 49,999 to 3.5 for those with
populations of 250,000 or more. Rural and suburban
counties averaged full-time law enforcement employee rates
of 3.5 and 3.0 per 1,000 population, respectively.
Regionally, the highest law enforcement employee rate
was in the Northeast with 2.9. Following were the South
with 2.8, the Midwest with 2.5, and the West with 2.4.
Full-time Law Enforcement Employees', Rate per 1,000 Inhabitants, Region and Population Group, October 31, 1987
[1987 estimated population]
Population Group
Total
(9,255 cities;
population
153,087.000)
Group I (60
Group II (123
Group III (300
Group IV (650
Group V (1,604
Group VI
cities. 250.000
cities, 100,000
cities, 50,000
cities, 25,000
cities, 10,000
(6,518 cities
Region
and over;
to 249.999;
to 99,999;
to 49,999;
to 24,999;
under 10,000;
population
population
population
population
population
population
43.916.000)
17,977,000)
20,402,000)
22,291,000)
25,115.000)
23,387,000)
TOTAL:
9.255 cities;
population 153.087.000:
Average number of employees
per 1.000 inhabitants
26
3.5
2.4
2.2
2.1
2.1
2.8
Northeastern States:
2.352 cities;
population 39.141.000:
Average number of employees
per 1,000 inhabitants
2.9
4.6
3.2
2.4
2.3
2.0
2.1
Midwestern Sutes:
2,490 cities;
population 37,927,000:
Average number of employees
per 1,000 inhabitants
2.5
3.9
2.2
1.9
1,8
2.0
2.5
Southern Sutes:
3,164 cities;
population 43,070,000:
Average number of employees
per 1,000 inhabitants
2.8
3.0
2.5
2.6
2.4
2.4
3.5
Western Sutes:
1,249 cities;
population 32,950,000:
Average number of employees
per 1,000 inhabitants
2.4
2.6
2.0
1.8
2.0
2.1
3.7
'includes civilians- Population figures were rounded to the nearest thousand All rates were calculated before rounding.
227
Sworn Personnel
Rates based solely on sworn law enforcement personnel
(excluding civilians) showed the national average for all
cities was 2.1 officers per 1,000 inhabitants. By population
grouping, the lowest average rate (1.7) was for cities with
populations of 10,000 to 99,999; cities 250,000 or more in
population recorded the highest rate, 2.8. Suburban county
law enforcement agencies averaged 2.0 officers per 1,000
population, while agencies in rural counties averaged 2.4.
Geographically, the highest rate of officers to population
was recorded in the Northeastern States where there were
2.4 officers per 1,000 inhabitants. Following were the
Southern States with 2.2, the Midwestern States with 2.0,
and the Western States with 1.7.
Nationally, males comprised 92 percent of all sworn
employees. Ninety-four percent of the officers in rural
counties and 93 percent of those in cities were males, while
in suburban counties they accounted for 89 percent.
Full-time Law Enforcement Officers, Rate per 1,000 Inhabitants, Region and Population Group, October 31, 1987
[1987 estimated population]
Population Group
Region
Total
(9.255 cities;
population
153,087,000)
Group I (60
cities, 250,000
and over;
population
43,916,000)
Group II (123
cities. 100,000
to 249,999;
population
17,977,000)
Group III (300
cities, 50,000
to 99.999;
population
20,402,000)
Group IV (650
cities, 25,000
to 49,999;
population
22,291,000)
Group V (1,604
cities, 10,000
to 24,999;
population
25,115,000)
Group VI
(6,518 cities
under 10,000;
population
23,387,000)
TOTAL:
9,255 cities;
population 153,087,000:
Average number of officers
2.1
2.8
1.8
1.7
1.7
1.7
2.2
Northeastern States:
2,352 cities;
population 39,141,000:
Average numlwr of officers
per 1 000 inhabitants .
2.4
2.0
2.2
1.7
3.7
3.3
2.4
2.0
2.7
1.7
1.9
1.4
2.0
1.5
2.0
1.3
1.9
1.4
1.8
1.5
1.7
1.6
1.9
1.5
1.7
Midwestern States:
2,490 cities;
population 37,927,000:
Average number of officers
per 1 000 inhabitants
2.0
Soutiiern SUtes:
3,164 cities;
population 43,070,000:
Average number of officers
per 1,000 inhabitants
Western States:
1,249 cities;
population 32,950,000:
Average number of officers
per 1,000 inhabitants
2.7
2.6
Population figures were rounded to the nearest thousand. All rates were calculated before rounding.
Civilian Employees
Civilians made up 25 percent of the total United States
law enforcement employee force in 1987. They represented
21 percent of the police employees in cities, 32 percent of
those in rural counties, and 33 percent of the suburban law
enforcement strength.
Law Enforcement OfHcers Killed and Assaulted
Seventy-two law enforcement officers were feloniously
slain in the line of duty during 1987, 6 more lives lost than
in 1986. The increase in 1987 followed a decline in 1986
whose annual total was lower than for any year since 1968.
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.
228
Table 6S. — Full-time Law Enforcement Employees', Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group,
October 31. 1987
(1987 estimated population]
Geographic division
ToUl
(9,255 cities;
population
153,087,000)
Population Group
Group 1
(60 cities,
250.000
and over;
population
43,916,000)
Group 11
(123 cities.
100.000 to
249.999;
population
17.977,000)
Group III
(300 cities,
50,000 to
99.999;
population
20,402.000)
Group IV
(650 cities.
25.000 to
49.999;
population
22.291.000)
Group V
(1,604 cities.
10,000 to
24.999;
population
25.115.000)
Group VI
(6,518 cities
under
10.000;
population
23,387,000)
TOTAL: 9,255 citlea; population 153,087,000:
Number of employees
Arerage number of employees per 1,000 inhabitants..
New England: 654 cities; population 11,306,000:
Number of employees
Average number of employees per 1,000 inhabitants..
Middle Atlantic: 1,698 cities; population 27,835,000:
Number of employees
Average number of employees per 1,000 inhabitants
East North Central: 1,766 cities; population 28,248,000:
Number of employees
Average number of employees per 1.000 inhabitants
West North Central: 724 cities; population 9,678,000:
Number of employees
Average number of employees per 1,000 inhabitants
South Atlantic: 1,488 cities; population 17,712,000:
Number of employees
Average number of employees per 1.000 inhabitants.
East South Central: 714 cities; population 7,288,000:
Number of employees
Average number of employees per 1.000 inhabitants..
West South Central: 962 cities; population 18,070,000:
Number of employees
Average number of employees per 1,000 inhabitants
Mountain: 535 cities; population 8,926,000:
Number of employees
Average number of employees per l,(X)0 inhabitants..
Pacific: 714 cities; population 24,024,000:
Number of employees
Average number of employees per 1.000 inhabitants
404,946
2.6
152,579
3.5
42,587
2.4
43,893
2.2
4«,820
2.1
27.582
2.4
85,028
3.1
72.932
2
21,119
2.2
58,169
3.3
18.984
2.6
43,566
2.4
22,243
2.5
55.323
2.3
2.567
4.5
45,799
4.6
28.776
4.1
6,005
3.2
15,892
3.9
3.330
2.7
17,903
2.6
8,796
2.7
23.511
2.6
3.862
3.3
4,206
3.1
5.017
2.3
1,363
1.9
8.965
2.7
3.277
2.5
4,747
2.1
2,826
2.3
8,324
1.9
5.794
2.4
6,060
2.3
8,053
2.0
2,061
1.6
6,318
3.1
738
2.5
4,539
2.2
2,190
1.7
8,140
1.9
5,744
2.2
8,322
2.3
8,798
1.8
2.894
1.6
6.584
2.7
2.680
2.3
3,131
1.9
2,105
2.1
6,562
2.0
53,145
2.1
5,940
2.1
10.385
2.0
11.142
1.9
3,916
2.0
7,384
2.8
3.361
2.3
5.278
2.0
2,202
2.2
3,537
2.1
65,922
2.8
3,675
2.2
10,256
2.0
11,146
2.5
4,880
2.4
13.026
4.0
5.598
3.0
7,968
3.2
4,124
3.4
5.249
4.0
Suburban and County
Suburban': 5,508 agencies; population 90,139,000:
Number of employees
Average number of employees per 1.000 inhabitants
239.154
2.7
County: 2,894 agencies; population 73,708,000:
Number of employees
Average number of employees per 1,(X)0 inhabitants..
236,222
3.2
'Includes civilians.
'includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Population figures were rounded to the nearest thousand. All rates were calculated before rounding.
229
Table 66. — Full-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group,
October 31, 1987
[1987 estimated population]
Total
(9,255 cities;
population
153,087,000)
Population Group
Geographic division
Group I
(60 cities,
250,000
and over;
population
43,916,000)
Group II
(123 cities.
100,000 to
249,999;
population
17,977,000)
Group III
(300 cities,
50,000 to
99.999;
population
20,402.000)
Group IV
(650 cities.
25,000 to
49,999;
population
22.291,000)
Group V
(1,604 cities.
10,000 to
24,999;
population
25,115,000)
Group VI
(6.518 cities
under
10,000;
population
23,387,000)
TOTAL: 9,255 cities; population 153,087,000:
320,959
2.1
121,802
2.8
32,887
1.8
34,378
1.7
37,331
1.7
42.965
1.7
51,596
Average number of officers per 1,000 inhabitants
2.2
New England: 654 cities: population 11,306,000:
23,375
2.1
70.948
2.5
60.371
2.1
16.537
1.7
45,660
26
14.669
2.0
33,651
1.9
16.087
1.8
39,661
1.7
1,972
3.4
37,335
3.7
24,919
3.5
4,457
2.4
12.678
3,1
2,528
2,1
14,099
2.0
6,379
2,0
17,435
1,9
3,290
2.8
3.600
2.6
4,053
1.7
1,055
1.4
6,918
2,1
2,436
1.8
3,804
1.7
1.983
1.6
5,748
1,3
5,016
2.1
5,178
2.0
6.518
1.6
1,672
1.3
4,747
2,3
556
1,9
3,496
1.7
1.594
1,3
5.601
1,3
5,041
1,9
7,059
2.0
7,069
1.5
2,262
1.3
5,143
2,1
2,127
1.8
2,390
1.5
1,543
1.5
4,697
1,4
5,084
1.8
8,940
1,7
8,956
1,6
3,090
1.6
5,839
2.2
2,677
1.8
4,185
1.6
1,594
1.6
2.600
1.5
2,972
Average number of officers per 1.000 inhabitanls
Middle Atlantic: 1,698 cities; population 27,835,000:
1,8
8.836
Average number of officers per 1,000 inhabitants
East North Central: 1,766 cities; population 28,248,000:
Number of officers
Average number of officers per 1.000 inhabitants
West North Central: 724 cities; population 9,678,000:
Number of officers
Average number of officers per 1,000 inhabitants
South Atlantic: 1,488 cities; population 17,712,000:
Number of officers
Average number of officers per 1,000 inhabitants
East South Central: 714 cities; population 7,288,000:
Number of officers
Average number of officers per 1.000 inhabitants
West South Central: 962 cities; population 18,070,000:
Number of officers
Average number of officers per 1.000 inhabitants
MounUin: 535 cities; population 8,926,000:
1.7
8.856
2.0
4,001
1.9
10,335
3.2
4,345
2.4
5,677
2.3
2,994
Average number of officers per I.OOO inhabitants .. .
2.5
Pacific: 714 cities; population 24,024,000:
3,580
Average number of officers per 1 (X)0 inhabitants
2.7
Suburban and County
Suburban': 5,508 agencies; population 90,139.000:
Number of officers
Average number of officers per 1,000 Inhabitants.
County: 2,894 agencies; population 73.708.000:
Number of officers
Average number of officers per 1.000 inhabitants.
159.424
2.2
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Population figures were rounded to the nearest thousand- All rates were calculated before rounding.
230
Table 67. — Full
[Range in rale per
time Law Enforcement Employees, October 31, 1987
1.000 inhabitants]
<Rale
range
Total'
(8.862 cities;
population
153,087,000)
Group I (60
cities, 250,000
and over,
population
43,916.000)
Group 11 (123
cities, 100.000
to 249,999;
population
17,977,000)
Group 111 (.300
cities, 50,000
to 99,999;
population
20,402,000)
Group IV (650
cities, 25,000
lo 49.999;
population
22,291.000)
Group V (1.604
cities, 10,000
to 24,999;
population
25,115,000)
Group VI
(6,125 cities
under 10,000;
population
23,387,000)
.1-.5
Number
176
2.0
1
.2
10
6
165
2.7
366
9.2
931
1S.2
1,122
18,3
.5-1.0
Number
Percenl
654
7.4
3
1.0
16
25
69
4.3
204
12.7
502
31,3
1.1-1.5
Number
Percent
1.2%
14 6
4
3 3
47
157
110
16 9
1.6-2.0
Number
Percent
1,995
22.5
9
15.0
42
34.1
100
33,3
220
33.8
2.1-2.5
Number
Percenl
1,763
19.9
16
26.7
40
32.5
86
28,7
178
27,4
462
28,8
981
16,0
2.6-3.0
Number
Percenl
1,104
12.5
13
21.7
16
13.0
35
11,7
77
11.8
204
12,7
759
12.4
3.1-3.5
Number
Percenl
685
7.7
9
15.0
16
13.0
20
6.7
26
4.0
98
6,1
S16
8.4
3.5--t.0
Number
Percent
389
4.4
5
8,3
2
1.6
3
1.0
15
2.3
36
2.2
328
5.4
4.1-4.5
Number
Percent
224
2.5
2
3.3
3
2.4
4
1.3
I
.2
12
.7
202
3.3
4.6-5.0
Number
Percenl
Number
Percenl
132
1,5
444
5.0
8,862
100.0
4
6.7
2
3.3
60
100.0
2
.7
2
.3
4
.6
650
100.0
4
.2
3
.2
1,604
100.0
120
20
5.1 and over
435
7 1
Total
Percent-
123
100.0
300
100.0
6,125
100.0
'The number of agencies used to compile these figures differs from the olher Law Enforcement Employee tables because small agencies with no resident population are excluded
from this lable-
"Because of rounding, percentages may not add to totals.
231
Table 68. — Full-time Law Enforcement Officers, October 31, 1987
[Range in rate per 1,000 inhabitants]
<Rate
range
Total'
(8,862 cities;
population
153.087,000)
Group I (60
cities, 250,000
and over;
population
43,916,000)
Group 11 (123
cities, 100,000
to 249,999;
population
17,977,000)
Group III (300
cities, 50,000
to 99,999;
population
20,402,000)
Group IV (650
cities, 25,000
to 49,999;
population
22,291,000)
Group V (1,604
cities, 10,000
to 24,999;
population
25,115,000)
Group VI
(6,125 cities
under 10,000;
population
23,387,000)
1-5
Number
Percent
201
2.3
1
.2
15
.9
183
3.0
6-1 0
Number
Percent
Number
Percent
914
10.3
2.360
26.6
2
1.6
45
36.6
23
7.7
116
38.7
59
9.1
253
38.9
129
8.0
524
32.7
701
11.4
1.1-1.5
10
167
1,412
23.1
1.6-2.0
Number
Percent
2,400
27.1
18
30.0
45
36.7
102
34.0
198
30.5
551
34.4
1.486
24.3
2.1-2.5
Number
Percent
1.328
15.0
IS
25.0
14
11.4
37
12.3
97
14.9
271
16.9
894
14.6
2.6-3.0
Number
Percent
680
7,7
5
8.3
14
11.4
15
5.0
29
4.5
82
5.1
535
8.7
3.1-3.5
Number
Percent
380
4.3
6
10.0
1
.8
5
1.7
8
1.2
21
1.3
339
5.5
3.6^.0
Number
Percent
160
1.8
2
3.3
2
1.6
2
.7
2
.3
7
.4
145
2.4
4 1-4 5
Number
Percent
115
1.3
2
3.3
2
.3
2
.1
109
1.8
4 6-5 0
Number
Percent
71
g
1
1.7
1
.1
69
1.1
Number
Percent
253
2.9
1
1.7
1
.2
1
.1
250
4.1
Total
Percent^
8,862
100.0
60
100.0
123
100.0
300
100.0
650
100.0
1.604
100.0
6,125
100.0
'The number of agencies used to compile these flgures differs from the other
from this table.
'Because of rounding, percentages may not add to totals.
Law Enforcement Officer tables because small agencies with no resident population are excluded
232
Table 69. — Law Enforcement Employees, Percent Male and Female, October 31, 1987
[l')87 eslimalcd populalion]
Population group
Total police employees
Total
Percent
male
Percent
female
Police officers (sworn)
Total
Percent
male
Percent
female
Civilian employees
Total
Percent
male
Percent
female
TOTAL AGENCIES: 12,149 agencies;
population 226,796,000:
TOTAL CITIES: 9,255 cities;
populalion 153,087,000:
GROUP I
60 cities. 250.000 and over;
population 43.916.000:
8 cities. 1.000.000 and over;
populalion 20.176.000:
16 cities. 500.000 to ')99,999;
population 10.649.000:
36 cities. 250,000 to 499,999;
population 13.090.000:
GROUP II
123 cities. 100.000 to 249.999;
population 17,977.000:
GROUP III
300 cities. 50.000 to 99,999;
population 20.402.000:
GROUP IV
650 cities. 25.000 to 49,999;
population 22.291.000:
GROUP V
1,604 cities. 10.000 to 24,999;
populalion 25.115.000:
GROUP VI
6.518 cities under 10.000;
populalion 23.387.000:
SUBURBAN COUNTIES
675 agencies; population 43.545.000;
RURAL COUNTIES
2.219 agencies; population 30.163.000;..
SUBURBAN AREA'
5.508 agencies; population 90.139.000:
641,168
404,946
78.2
79.9
21.8
20.1
480,383
320,959
92.4
92.9
7.6
7.1
160,785
83,987
35.9
30.2
64.1
69.8
152.579
82,363
34.675
35.541
42,587
43.893
46,820
53,145
65,922
130,904
105,318
239,154
78.3
79.1
78.8
75.9
77.8
79.9
81.4
82.4
81.7
74.1
77.2
77.7
21.7
20.9
21,2
24.1
22.2
20.1
18.6
17.6
18.3
25.9
22.8
22.3
121.802
67.166
27,676
26,960
32,887
34.378
37,331
42,965
51,596
87,494
71,930
173,696
89.6
89.0
90.3
90.5
92.3
94.7
95.5
95.9
95.0
89.4
94.0
92.4
10.4
11.0
9.7
9.5
7.2
5.3
4.5
4.1
5.0
10.6
6.0
7.6
30.777
15,197
6,999
8.581
9,700
9,515
9,489
10,180
14,326
43,410
33.388
65,458
33.5
35.3
33.5
30.2
27.0
26.7
26.0
25.6
33.8
43.2
40.8
38.7
66.5
64.7
66.5
69.8
73.0
73.3
74.0
74.4
66.2
56.8
59.2
61.3
Includes suburban city and county law enforcement agencies within
Table 70. — Civilian Law Enforcement Employees, Percent
[1987 estimated population]
metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
of Total, Population Group, October 31, 1987
Population group
Percent
civilian
employees
Population group
Percent
civilian
employees
TOTAL AGENCIES: 12,149 agencies;
population 226,796,000:
GROUP IV
TOTAL OTIES: 9,255 cities;
population 153,087,000:
25.1
20.7
650 cities. 25,000 to 49,999;
population 22.291,000: ...
GROUP V
GROUP I
60 cities. 250,000 and over;
population 43,916,000:
8 cities. 1,000.000 and over;
population 20.176.000;
16 cities. 500.000 to 999,999;
population 10.649.000:
36 cities. 250.000 to 499,999;
population 13.090.000:
GROUP II
123 cities. 100.000 to 249,999;
population 17.977,000:
GROUP III
300 cities. 50.000 to 99.999;
population 20,402.000:
20.2
18.5
20.2
24.1
22.8
21.7
1.604 cities, 10,000 to 24,999;
population 25,115,000;
GROUP VI
6,518 cities under 10,000;
population 23,387,000:
SUBURBAN COUNTIES
675 agencies;
population 43,545,000:
RURAL COUNTIES
2.219 agencies;
populalion 30,163,000:
SUBURBAN AREA'
5.508 agencies;
population 90,139,000:
20.3
19.2
21.7
33.2
31.7
27.4
Includes suburban city and county law enforcement agencies within metropolitan areas Excludes central cities. Suburban cities and counties are also included in other groups.
233
Table 71. — Full-time
State Law Enforcement Employees, October 31
1987
N
umber of law enforcement employees
State
Number of law enforcement employees
Total
Officers
Civi
ians
Total
Officers
Civi
lans
Slate
Male
Female
Male
Female
Male
Female
Male
Female
Total
73.005
48.342
1.916
9.227
13.520
Nebraska State Patrol
Nevada Highway Patrol
593
329
442
230
10
4
53
12
88
83
New Hampshire State
Alabama Department of
Police
326
233
12
32
49
Public Safety
1.248
705
12
203
328
New Jersey Division of
Alaska State Police
549
312
14
130
93
Law and Public Safety
3.952
2,716
65
198
973
Aiizona Department of
New Mexico State Police
668
351
5
115
197
Public Safety
1.651
944
41
301
365
Arkansas State Police
613
441
11
70
91
New York State Police
4,759
3,729
179
275
576
California Highway
North Carolina Highway
Patrol
7.558
5.137
353
828
1.240
Patrol
North Dakota Highway
1,523
1,197
10
193
123
Colorado State Patrol
741
522
20
74
125
Patrol
194
117
2
45
30
Connecticut Slate Police
1.644
1.112
54
206
272
Ohio State Highway
Delaware State Police
630
447
25
66
92
Patrol
2,103
1,171
45
450
437
Florida Highway Patrol
2,025
1.422
115
183
305
Oklahoma Department
Georgia Department of
Public Safety
1,208
696
5
242
265
Public Safety
1.564
758
17
213
576
Oregon Stale Police
995
809
28
25
133
Idaho State Police
215
170
1
9
35
Pennsylvania State Police
5,189
3,854
116
593
626
Illinois State Police
2.243
1.602
100
228
313
Rhode Island State
Indiana State Police
1.712
1.036
34
302
340
Police
214
173
4
25
12
Iowa Department of
South Carolina Highway
Public Safety
773
527
17
99
130
Patrol
1,068
877
16
49
126
Kansas Highway Patrol
595
434
5
74
82
South Dakota Highway
Patrol
230
148
2
71
9
Kentucky Slate Police
1,617
939
16
338
324
Louisiana State Police
998
704
9
99
186
Tennessee Department of
Maine State Police
574
362
11
108
93
Safety
1,325
728
16
127
454
Maryland State Police
2,212
1,513
97
216
386
Texas Department of
Massachusetts State
Public Safety
4,869
2,548
48
645
1.628
Police
1.408
1,148
71
120
69
Utah Highway Patrol
428
327
14
72
15
Vermont Department of
Michigan State Police
3.190
2.067
136
473
514
Public Safety
387
256
8
51
72
Minnesota Highway
Virginia Slate Police
2,012
1,456
46
152
358
Patrol
710
494
12
131
73
Mississippi Highway
Washington State Patrol
1,624
833
28
429
334
Safety Patrol
842
497
7
92
246
West Virginia Stale
Missouri State Highway
Police
837
519
9
100
209
Patrol
1.767
857
8
583
319
Wisconsin State Patrol
653
442
52
95
64
Montana Highway Patrol
245
192
5
20
28
Wyoming Highway
Patrol
195
148
1
12
34
NOTE: The responsibilities of the various slale police, highway patrol, and departments of public safely agencies range from full law enforcement duties to traffic patrol only.
Any comparison of these data from stale to stale must take these factors and those on page v mto consideration.
234
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987
Cil>
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ALABAMA
II
8
18
32
37
10
29
106
19
9
10
9
35
22
19
65
18
16
3
84
833
6
28
4
22
10
10
7
9
4
6
12
4
4
3
17
15
8
22
2
3
6
2
5
10
37
8
20
14
96
20
8
124
6
7
14
44
32
10
16
31
18
3
9
2
10
8
90
19
1
33
15
118
1
20
7
6
14
27
33
5
24
77
14
5
5
5
29
17
15
47
16
11
3
71
646
4
22
4
19
5
6
4
5
1
3
8
4
2
3
17
11
7
18
2
2
4
2
5
6
27
8
13
9
83
17
4
84
4
4
10
31
24
7
12
25
13
3
9
2
6
4
69
14
1
26
11
105
1
15
13
187
2
6
ALABAMA— Continued
Geneva
Georgiana
Glencoe
Goodwater
Gordo
Graysville
Greensboro
Greenville
Grove Hill
Guin
Gulf Shores
Guntersville
Gurley
Haley ville
Hamilton
Hanceville
Hartford
Hanselle
Headland
Heflin
Helena
Hokes Bluff
Hollywood
Homewood
Hoover
Hueytown
Huntsville
Hurtsboro
Irondale
Jackson
Jacksonville
Jasper
Jemison
Killen
Kimberly
Lafayette
Lanett
Leeds
Leighton
Level Plains
Lincoln
Linden
Lineville
Littleville
Livingston
Luveme
Madison
Maplesville
Marion
Midfield
Midland
Millbrook
Mobile
Monroeville
Montevallo
Montgomery
Moody
Moulton
Moundville
Mountain Brook
Mount Vernon
Muscle Shoals
New Brockton
New Hope
Newton
Northport
Notasulga
Oneonta
Opelika
Opp
Orange Beach
Owens Cross Roads
Oxford
Ozark
Pelham
12
6
6
9
4
6
7
26
7
4
23
25
4
16
9
10
12
20
10
8
9
4
4
58
81
20
356
5
25
18
25
54
2
3
2
14
24
23
4
5
9
II
14
23
9
12
17
7
13
517
23
11
545
12
10
7
57
5
25
5
4
3
34
8
16
74
23
II
2
34
42
31
8
4
4
2
5
1
6
3
4
6
5
2
20
6
6
1
4
17
6
20
5
4
11
5
8
1
6
4
7
5
16
4
6
4
7
1
5
4
4
3
1
47
11
65
16
16
4
273
83
3
2
19
6
14
4
19
6
34
20
7
2
I
2
10
4
18
6
19
4
4
2
3
5
3
6
6
2
5
4
6
5
10
4
16
7
2
7
6
6
13
4
3
4
9
4
331
186
17
6
7
4
414
131
8
4
9
1
4
3
47
10
4
1
■>5
4
1
4
3
29
5
4
4
12
4
62
12
17
6
7
4
->
29
5
28
14
26
5
235
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Tolal
police
employees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
ALABAMA— Continued
Pell City
Phenix City
Phil Campbell
Piedmont
Pleasant Grove
Prattville
Priceville
PiHchard
Rainbow City
Ramsville
Red Bay
Reform
Roanoke
Robertsdale
Russell ville
Samson
Saraland
Satsuma
Scottsboro
Selma
Sheffield
Sipsey
Slocomb
Snead
Southside
Springville
Stevenson
Sulligent
Sumiton
Summerdale
Sylacauga
Talladega
Tallassee
Tarrant City
Thomaston
Thorsby
Town Creek
Trinity
Troy
Trussville
Tuscaloosa
Tuscumbia
Tuskegee
Union Springs
Unionlown
Valley
Vestavia Hills
Warrior
Weaver
Wetumpka
Wilton
Winfield
York
ALASKA
Anchorage
Bethel
Bristol Bay
Cordova
Craig
Dillingham
Fairbanks
Haines
Homer
Juneau
Kenai
Ketchikan
Klawock
Kodiak
Kolzebue
Nome
North Pole
North Slope Borough
3
10
2
37
53
19
24
1
2
7
3
47
15
201
25
45
16
9
23
28
10
6
16
2
5
8
406
17
6
9
7
12
47
9
17
55
21
26
2
32
18
14
10
58
17
44
4
12
9
37
3
50
12
7
7
4
15
5
15
5
24
7
25
58
25
2
4
2
4
4
5
3
5
2
31
41
14
18
1
2
4
3
33
11
152
23
35
15
5
18
28
7
5
12
1
5
4
277
12
4
6
3
6
40
9
11
34
14
18
2
16
7
8
6
36
129
5
2
3
4
6
7
ALASKA— Continued
Palmer
Petersburg
Seldovia
Seward
Skagway
Soldotna
Wrangell
ARIZONA
Apache Junction
Avondale
Benson
Bisbee
Buckeye
Bullhead City
Casa Grande
Chandler
Chino Valley
Clarkdale
Coolidge
Cottonwood
Douglas ,
Eagar
El Mirage
Eloy
Flagstaff
Florence
Fredonia
Gilbert
Glendale
Globe
Goodyear
Guadalupe
Hayden
Holbrook
Huachuca City
Jerome
Kearny ,,
Kingman
Lake Havasu
Mammoth
Marana
Mesa
Miami
Nogales
Oro Valley
Page
Paradise Valley
Parker
Payson
Peoria
Phoenix
Pima
Pinetop- Lakeside
Prescott
Prescott Valley
Safford
Saint Johns
San Luis
Scottsdale
Show Low
Sierra Vista
Snowflake-Taylor
Somerton
South Tucson
Springerville
Superior
Surprise
Tempe
Thatcher
Tolleson
Tombstone
Tucson
39
29
15
23
15
70
57
135
11
6
24
23
46
8
14
28
95
18
4
39
260
20
14
10
5
20
9
3
9
47
51
5
9
545
9
41
21
22
31
16
21
66
2.445
2
18
71
19
14
7
14
265
20
42
8
14
37
8
15
16
305
6
19
3
938
6
2
7
3
10
6
26
23
9
16
10
48
37
87
g
6
18
14
34
7
10
20
67
12
3
28
183
15
9
8
4
15
4
3
6
30
38
4
8
350
8
30
19
15
23
10
15
49
1,803
2
11
46
12
13
6
8
168
13
29
7
9
24
6
10
15
216
5
13
2
723
236
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Citv
Tolal
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ARIZONA— Continued
Wickenburg
Willcox
Williams
Winslow
Youngtown
Yuma
ARKANSAS
Alma
Arkadclphia
Ashdown
Bald Knob
Barling
Beebe
Benton
Bentonville
Berryville
Blytiieville
Booneville
Bradford
Bnnkley
Bryant
Bull Shoals
Cabot
Camden
Carlisle
Clarksville
Conway
Coming
Cotter
Crossett
Danville
Dardanelle
Dermott
Des Arc
De Vails Bluff
De Wilt
Dumas
Earle
Elame
El Dorado
England
Eureka Springs
Fayettevillc
Fordyce
Forrest City
Fort Smith
Gentry
Gravette
Green Forest
Greenwood
Gurdon
Hamburg
Harrison
Hazen
Heber Springs
Helena
Hope
Horseshoe Bend
Hoi Springs
Hoxic
Huntsville
Jacksonville
Johnson
Jonesboro
Judsonia
Kcnsett
Lake Village
Lincoln
Little Rock
Lonoke
Lowell
Magnolia
1.1
16
15
13
117
6
21
8
9
7
8
31
25
8
49
II
3
16
5
2
13
37
8
13
49
11
2
18
3
9
12
4
1
14
17
6
1
53
10
8
59
9
30
144
3
3
5
3
6
6
21
7
14
21
22
6
82
8
5
57
2
48
3
2
6
3
382
11
3
21
10
87
4
7
41
7
1
13
2
5
7
3
1
10
10
5
1
44
5
7
51
5
23
104
3
3
4
3
3
5
17
4
8
15
16
5
65
4
4
43
2
41
2
2
6
3
323
6
3
17
ARKANSAS— Continued
Malvern
Marianna
Marion
Marked Tree
McCrory
McGehee
Mena
Monticello
Morrillon
Mountain Home
Nashville
Newport
North Little Rock
Osceola
Paragould
Paris
Piggott
Pine BlufT
Pocahontas
Prairie Grove
Prescott
Rogers
Russellvllle
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
Yellville
CALIFORNIA
Adelanto
Alameda
Albany
Alhambra
Alturas
Anaheim
Anderson
Angels Camp
Antioch
Arcadia
Areata
Arroyo Grande
Arvin
Atascadero
Atherton
At water
Auburn
Azusa
Bakersfield
Baldwin Park
Banning
Barstow
Bear Valley Springs
Beaumont
Bell
Bell Gardens
Belmont
Belvedere
22
15
5
8
3
11
13
18
17
19
8
21
152
26
30
11
8
139
15
5
8
43
31
27
5
44
21
5
55
3
22
57
13
20
1
4
10
15
2
21
57
16
2
18
136
34
146
8
457
23
8
87
86
25
25
16
33
24
27
27
80
304
79
34
40
9
24
61
61
39
6
15
7
11
4
5
4
4
3
7
4
8
5
17
1
11
6
15
4
7
1
15
6
117
35
20
6
26
4
6
5
5
3
110
29
11
4
4
1
6
2
33
10
21
10
19
8
5
32
12
16
5
4
1
43
12
3
16
6
51
6
8
5
17
1
3
4
6
4
8
7
1
18
3
45
12
15
1
7
11
7
98
38
30
4
93
53
7
1
321
136
14
9
7
1
71
16
70
16
18
7
18
7
11
5
25
8
19
5
20
7
19
8
58
22
217
87
59
20
24
10
28
12
5
4
16
8
45
16
42
19
32
7
6
237
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officei^
CALIFORNIA— Continued
Benicia
Berkeley
Beverly Hills
Bishop
Blylhe
Brawley
Brea
Brentwood
Brisbane
Broadmoor
Buena Park
Burbank
Burlingame
Calexico
California City
Calistoga
Campbell
Capitola
Carlsbad
Carmel
Carpinteria
Cathedral City
Ceres
Chico
China Lake
Chino
Chowchilla
Chula Vista
Claremont
Clayton
Clearlake
Cloverdale
Clovis ....„
Coachella ,
Coalinga
Colfax
Colma
Colton
Colusa
Compton
Concord
Corcoran
Corning
Corona
Coronado
Costa Mesa
Cotati
Covina
Crescent City
Culver City
Cypress
Daly City
Davis
Delano
Del Rey Oaks
Desert Hoi Springs
Dinuba
Dixon
Dorris
Dos Palos
Downey
Dunsmuir
East Palo Alto
El Cajon
El Centre
El Cerrito
El Monte
El Segundo
Emeryville
Escalon
Escondido
Etna ,
Eureka ,
Exeter
Fairfax
42
225
182
19
24
36
104
13
22
8
128
214
65
40
13
16
54
35
93
31
25
48
43
76
55
103
16
201
50
10
27
11
70
36
19
5
13
61
10
225
182
22
14
128
45
178
17
83
12
153
74
125
72
42
6
23
23
20
5
8
142
5
30
179
60
42
133
80
34
12
151
1
52
12
16
30
170
122
12
16
27
85
11
18
7
84
131
46
28
8
10
41
22
67
19
19
34
30
50
51
76
U
138
39
9
21
8
53
26
13
4
11
47
9
126
131
15
12
72
33
139
II
51
II
104
50
98
47
29
6
15
17
16
1
7
107
4
27
109
40
36
101
59
25
7
101
1
41
II
12
CALIFORNIA— Continued
Fairfield
Farmersville
Ferndale
Firebaugh
Folsom
Fontana
Fort Bragg
Fort Jones
Fort una
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
Hay ward
Healdsburg
Hemet
Hercules
Hermosa Beach
Hillsborough
Hollister
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 Galos
117
10
3
11
30
109
23
2
21
44
77
6
250
585
206
20
104
215
66
259
66
7
24
10
15
21
13
7
15
50
138
229
22
55
19
46
26
25
14
8
348
92
8
9
76
286
5
163
21
3
10
11
12
13
15
70
78
13
3
68
28
49
23
14
20
90
16
95
49
1,093
29
35
9.475
32
65
79
9
3
7
23
70
15
2
15
35
57
6
165
393
145
14
86
156
41
181
48
7
17
10
10
14
9
6
13
37
86
148
16
40
16
33
21
21
9
7
206
64
6
8
47
183
4
112
17
3
8
II
10
II
12
42
53
II
3
49
22
36
20
10
17
57
10
64
34
685
23
29
7,072
20
41
238
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
etnployces
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
CALIFORNIA— Continued
Madera
Mammoth Lakes
Manhattan Beach
Manteca
Mancopa
Manna
Martmez
Marysville
May wood
McFarland
Mendota
Menlo Park
Merced
Millbrae
Mill Valley
Milpitas
Modesto
Monrovia
Montclair
Montebello
Monterey
Monterey Park
Moraga
Morgan Hill
Morro Bay
Mountam View
Mount Shasta
Napa
National City
Needles
Nevada City
Newark
Newman
Newport Beach
Novato
Oakdale
Oakland
Oceanside
Ontario ,
Orange
Orland
Oroville
Oxnard ,
Pacifica
Pacific Grove
Palm Spnngs
Palo Alto
Palos Verdes Estates
Paradise ,
Pasadena
Paso Robles
Patterson
Perns
Petaluma
Piedmont
Pinole
Pismo Beach
Pittsburg
Placentia
Placerville
Pleasant Hill
Pleasanton
Pomona
Porlerville
Port Hueneme
Red Bluflr
Redding
Redlands
Redondo Beach
Redwood City
Reedley
Rialto ,
Richmond
Ridgecresl
Rio Dell
44
17
71
60
2
30
49
28
31
9
14
55
85
33
29
82
240
68
64
101
63
110
II
41
24
91
13
94
98
17
9
79
7
194
66
25
904
210
180
189
10
33
221
57
39
125
175
35
36
319
34
13
34
71
26
30
22
68
62
23
59
76
216
53
28
26
119
88
151
106
27
97
242
39
6
32
14
58
40
2
26
39
21
23
4
10
39
55
24
22
62
170
51
46
74
50
69
10
27
17
75
8
65
73
II
7
58
6
140
50
17
607
140
137
134
9
23
148
44
28
82
92
24
26
190
28
11
21
54
19
21
15
57
47
19
40
56
145
32
20
19
78
65
100
71
20
58
165
24
6
12
3
13
20
4
10
7
8
5
4
16
30
9
7
20
70
17
18
27
13
41
1
14
7
16
5
29
25
6
2
21
1
54
16
8
297
70
43
55
1
10
73
13
11
43
83
II
10
129
6
2
13
17
7
9
7
II
15
4
19
20
71
21
8
7
41
23
51
35
7
39
77
15
CALIFORNIA— Continued
Rio Vista
Ripon
Riverbank
Riverside
Rocklin
Rohnert Park
Roseville
Ross
Sacramento
Saint 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 Juan Bautista
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
Shafter
Sierra Madre
Signal Hill
Simi Valley
Soledad
Sonoma
Sonera
South Gate
South Lake Tahoe
South Pasadena
South San Francisco
Stallion Springs
Stanton
Stockton
Suisun City
Sunnyvale
Susan ville
Sutter Creek
Taft
Tiburon
Torrance
Tracy
Tulare
Tulelake
Turlock
Tustin
Twin Cities
Ukiah
Union City
Upland
11
15
17
380
26
53
67
10
806
15
181
23
355
58
48
60
2
2,327
46
2,559
57
32
39
1,224
3
124
75
27
146
47
99
561
201
179
104
79
282
36
176
39
22
52
40
18
24
15
18
39
123
10
16
14
124
68
41
108
3
46
390
27
164
14
5
16
18
308
50
48
3
63
94
42
31
80
93
7
10
13
259
17
40
42
7
563
12
138
17
232
47
36
41
2
1,674
32
1,870
47
24
25
998
3
86
49
22
105
34
73
359
127
144
71
58
152
29
122
26
15
37
30
13
18
10
14
28
80
9
II
11
89
48
29
72
3
35
255
18
111
13
5
12
15
236
36
36
3
41
64
33
23
52
66
4
5
4
121
9
13
25
3
243
3
43
6
123
II
12
19
653
14
689
10
8
14
226
38
26
5
41
13
26
202
74
35
33
21
130
7
54
13
7
15
10
5
6
5
4
11
43
1
5
3
35
20
12
36
11
135
9
53
1
4
3
72
14
12
22
30
9
8
28
27
239
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNIA— Continued
Vacaville
Vallejo
Ventura
Vernon
Visalia
Walnut Creelc
Waterford
Watson ville
Weed
West Covina
Westminster
Westmorland
Wheatland
Whittier
Williams
Willits
Willows
Winters
Woodlake
Woodland
Yreka
Yuba City
COLORADO
Alamosa
Antonito
Arvada
Aspen
Ault
Aurora
Avon
Basalt
Bayfield :.
Berthoud
Boulder
Bow Mar
Breckenridge
Brighton
Broomfield
Brush
Buena Vista
Burlington
Calhan
Canon City
Carbondale
Castle Rock
Cedaredge
Center
Central City
Cherry Hills Village
Colorado Springs
Commerce City
Cortez
Craig
Crested Butte
Cripple Creek
Dacono
De Beque
Del Norte
Delta
Denver
Dillon
Dinosaur
Dolores
Durango
Eagle
Eaton
Edgewater
Elizabeth
Empire
Englewood
Erie
Estes Park
84
153
170
58
102
99
7
65
12
153
113
3
5
120
5
17
9
9
9
63
22
49
22
4
153
33
2
522
8
4
2
5
170
2
21
37
50
12
6
g
1
32
7
18
4
6
3
23
548
54
30
26
4
3
6
1
5
14
1,614
5
2
2
46
4
6
IS
1
2
100
3
20
58
113
104
40
70
73
6
49
7
HI
82
3
5
85
5
13
19
4
113
21
2
374
7
3
2
5
121
2
15
27
36
10
5
7
1
23
6
13
4
6
3
21
387
41
21
18
4
3
5
1
4
11
1,322
4
2
2
28
4
5
12
1
2
70
3
13
148
1
1
49
2
161
13
9
1
3
292
1
30
COLORADO— Continued
Evans
Fairplay
Federal Heights
Firestone
Flagler
Florence
Fort Collins
Fort Lupton
Fort Morgan
Fountain
Fowler
Frederick
Frisco
Fruita
Glendale
Glenwood Springs
Golden
Granada
Grand Junction
Greeley
Green Mountain Falls
Greenwood Village
Gunnison
Haxtun
Hayden
Holly
Holyoke
Idaho Springs
Ignacio
Johnstown
Julesburg
Kersey
Kremmling
Lafayette
La Junta
Lakewood
Lamar
La Salle
Las Animas
Leadville
Limon
Littleton
Lochbuie
Log Lane Village
Longmont
Louisville
Loveland
Lyons
Manassa
Mancos
Manitou Springs
Meeker
Milliken
Minturn
Monte Vista
Montrose
Morrison
Mountain View
Mount Crested Butte
Nederland
New Castle
Northglenn
Oak Creek
Olathe
Ordway
Pagosa Springs
Palisade
Palmer Lake
Paonia
Parachute
Parker
Platteville
Pueblo
Rangely
Ridgeway
14
1
25
2
1
8
125
1
25
18
2
4
8
6
33
20
30
1
93
131
1
47
21
2
2
1
3
7
4
4
2
2
4
27
17
290
25
4
7
7
4
75
2
1
101
19
66
3
2
3
18
4
3
6
1
22
3
2
64
2
4
7
5
3
2
4
8
15
5
220
7
11
1
16
2
I
5
83
11
19
12
2
3
7
5
25
17
23
1
64
83
1
32
12
2
2
1
3
6
4
4
2
2
4
22
14
195
19
4
7
6
4
57
2
1
69
16
42
3
2
2
12
4
3
4
13
19
1
2
3
3
2
49
2
3
3
4
3
2
4
2
11
4
167
4
240
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aty
Total
police
employees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
COLORADO— Conllnuwi
RiHe
Rocky Ford
Salida
Sheridan
Silt
Silvenhome
Snowmass Village
SpiHngfield
Steamboat Springs
Sterhng
Stratton
Thornton
Trinidad
Vail
Victor
Walsenburg
Westminster
Wheal Ridge
Wiggins
Windsor
Woodland Pwk
Yuma
CONNECTICUT
Ansonia
Avon
Berlin
Bethel
Bloomfield
Branford ,
Bridgeport
Bristol ,
Brookfield
Canton
Cheshire
Clinton
Coventry
Cromwell
Danbury
Darien
Derby
East Hampton
East Hariford
East Haven
Easton
East Windsor
Enfield
Fairfield
Farmington
Glastonbury
Granby
Greenwich
Groton
Groton Long Point
Groton Town
Guilford
Hamden
Hartford
Jewett City
Madison
Manchester
Meriden
Middlebury
Middletown
Milford
Monroe
Naugatuck
New Britain
New Canaan
New Haven
Newington
New London
New Milford
14
7
U
31
3
II
9
4
27
32
I
96
22
41
1
10
ISl
78
1
8
16
10
33
35
42
37
56
39
477
103
30
I
50
26
16
25
130
53
24
15
135
56
19
20
90
101
48
59
15
183
35
8
65
34
114
612
10
27
117
128
10
101
119
38
46
163
47
408
53
94
45
9
7
10
21
3
8
7
4
17
21
I
71
16
27
1
10
102
53
1
7
11
6
30
30
35
31
44
37
416
95
25
13
42
23
12
19
124
47
22
13
114
51
14
15
74
94
39
44
10
148
31
8
55
28
94
494
7
27
93
110
8
84
104
32
43
145
43
364
43
80
39
10
6
20
118
3
CONNECTICUT— Continued
Newtown
North Branford
North Haven
Norwalk
Norwich
Old Saybrook
Orange
Plainfield
Plainville
Plymouth
Putnam
Ridgefield
Rocky Hill
Seymour
Shelton
Simsbury
Southington
South Windsor
Stafford Springs
Stamford
Stonington
Stratford
SufTield
Thomaston
Torrington
Trumbull
Vernon
Wallingford
Waterbury
Waterford
Watertown
West Hartford
West Haven
Weston
Westport
Wethersfield
Willimantic
Wilton
Windsor
Windsor Locks
Winsted
Wolcott
Woodbridge
DELAWARE
Bethany Beach
Blades
Bridgevillc
Camden-Wyoming
Clayton
Dagsboro
Delaware City
Delmar
Dewey Beach
Dover
Elsmere
Felton
Fenwick Island
Georgetown
Greenwood
Harrington
Laurel
Lewes
Middletown
Milford
Millsboro
Milton
Newark
New Castle
Newport
Ocean View
Rehoboth Beach
Seaford
39
17
56
194
78
24
36
17
32
17
19
41
36
22
47
40
60
39
6
294
37
117
18
13
70
73
60
76
323
51
36
153
126
14
72
54
39
41
50
25
26
27
24
29
16
46
152
68
21
32
16
26
14
15
36
29
21
42
32
55
31
6
266
28
100
14
10
65
61
47
63
276
43
33
131
110
13
67
41
34
37
40
19
21
21
20
6
1
3
1
1
1
3
5
4
59
II
I
3
5
2
4
7
6
5
19
7
3
42
10
6
I
13
17
241
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
DELAWARE— Continued
Selbyville
Smyrna
South Bethany.
Wilmington
DISTRICT OF COLUMBIA
Washington
FLORIDA
Alachua
Altamonte Springs
Altha
Apalachicola
Apopka
Arcadia
Atlantic Beach
Atlantis
Auburndale....
Avon Park
Bal Harbour
Bartow
Bay Harbor Islands
Belleair
Belleair Beach
Belleair Bluffs
Belle Glade
Belleview
Biscayne Park
Blountstown
Boca Raton
Bonifay
Bowling Green
Boynton Beach
Bradenton
Bradenton Beach
Brooksville
Bunnell
Bushnell
Callaway
Cape Coral
Casselberry
Cedar Grove
Center Hill
Century
Chattahoochee
Chiefland
Chipley
Clearwater
Clermont
Clewiston
Cocoa ,.
Cocoa Beach
Coconut Creek
Coleman
Cooper City
Coral Gables
Coral Springs
Crescent City
Crestview
Crystal River
Dade City
Dania
Davenport ,
Davie ,
Daytona Beach
Daytona Beach Shores.
Deerfield Beach
De Funiak Springs
De Land
Delray Beach
Dundee
Dunedin
FLORIDA— Continued
1
17
3
310
4,528
16
103
3
6
45
20
25
23
27
22
25
40
26
14
6
7
65
II
7
II
173
10
5
126
71
9
31
6
5
18
131
52
6
3
6
8
8
5
298
1
17
56
49
59
1
38
174
198
8
22
21
28
60
9
no
253
30
108
12
60
166
12
68
I
11
3
252
3.909
58
619
12
4
75
28
1
2
5
1
34
11
15
5
19
6
15
8
20
7
16
6
21
5
29
11
21
5
10
4
5
1
7
43
22
9
2
7
6
5
115
58
5
5
5
103
23
64
7
8
I
22
9
5
I
5
14
4
83
48
38
14
5
I
2
I
6
7
1
6
2
5
209
89
13
5
11
6
42
14
39
10
44
15
30
8
130
44
133
65
5
3
16
6
14
7
18
10
44
16
5
4
87
23
197
56
22
8
84
24
10
2
41
19
114
52
8
4
54
14
Dunnellon
Eagle Lake
Eatonville
Edgewater
Edgewood
El Portal
Eustis
Fellesmere
Fernandina Beach
Flagler Beach
Florida City
Fori Lauderdale
Fort Meade
Fort Myers
Fort Pierce
Fort Walton Beach
Frostproof
Fruitland Park
Gainesville
Golden Beach
Graceville
Greenacres City
Green Cove Springs
Greenville
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-Hills
Indialantic
Indian Creek
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-lhe-Sea ...
Leesburg
Lighthouse Point
Live Oak
10
6
8
30
8
5
34
7
27
13
20
675
12
167
109
59
13
7
291
12
10
59
17
1
12
16
30
12
35
121
10
417
26
10
10
15
28
432
9
76
4
16
13
22
19
II
17
13
1,664
51
6
13
66
4
17
11
78
93
17
11
30
9
7
5
203
19
30
34
105
31
159
15
44
36
12
6
4
22
7
5
26
6
21
7
14
435
9
no
86
47
8
6
196
12
6
34
14
I
7
14
22
II
26
98
7
305
19
10
6
12
22
284
8
58
4
II
13
15
19
10
13
12
944
35
6
12
45
4
14
10
54
60
12
7
24
9
5
5
152
15
24
26
78
23
108
14
34
27
10
242
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aty
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
FLORIDA— Continued
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
Milton
Minneola..
Miramar
Monticello
Mount Dora
Mulberry
Naples
Neptune Beach
New Port Richey
New Smyrna Beach
Niceville
North Bay Village
North Lauderdale
North Miami
North Miami Beach
North Palm Beach
North Port
Oak Hill
Oakland
Oakland Park ]:
Ocala
Ocean Ridge
Ocoee
Okeechobee
Opa Loclca
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 Saint Joe
Port Saint Lucie
Punta Gorda
Quincy
23
35
14
15
9
38
II
16
105
20
6
35
151
9
4
1,400
419
35
44
20
5
83
8
23
12
89
16
38
57
21
27
54
119
114
42
35
2
3
95
145
17
36
21
50
1
27
601
74
27
14
37
125
108
65
9
38
28
103
38
8
13
127
1
14
82
196
53
266
II
60
10
13
62
31
43
17
31
10
14
8
29
7
16
78
16
5
28
112
4
1,043
357
289
130
28
7
36
8
15
5
5
70
13
8
16
7
8
4
67
22
11
5
29
9
43
14
16
5
20
7
40
14
101
18
93
21
34
8
23
12
?
3
72
23
97
48
12
5
26
10
15
6
40
10
9
2
21
6
425
176
56
18
19
8
9
5
28
9
83
42
71
37
53
12
7
2
28
10
22
6
74
29
30
8
7
1
12
1
103
24
133
55
12
2
58
24
136
60
38
15
181
85
6
5
44
16
7
3
9
4
43
19
22
9
38
5
FLORIDA— Continued
Redington Beach
Riviera Beach
Rockledge
Royal Palm Beach
Saint Augustine
Saint Augustine Beach
Saint Cloud
Saint Leo
Saint Petersburg
Sainl Petersburg Beach
Sanford
Sanibel
Sarasota
Satellite Beach
Sea Ranch Lakes
Sebastian
Sebring
Seminole Big Cypress
Sewall's Point
Sneads
South Bay
South Daylona
South Miami
South Palm Beach
Springfield
Starke ,
Stuart
Sunrise
Surfside
Sweetwater
Tallahassee
Tamarac
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
White Springs
Wildwood
Willislon
Wilton Manors
Windermere
Winter Garden
Winter Haven
Winter Park
Winter Springs
Zephyrhills
Zolfo Springs
GEORGIA
Abbeville
Acworth
Adairsville
Adel
Adrian
Albany
Alma
Alpharetta
Amencus >
Ill
32
19
43
8
30
3
660
43
88
26
225
18
II
27
28
28
7
3
11
29
54
8
16
19
48
136
24
1
326
99
940
49
20
44
21
89
23
8
12
55
77
6
5
16
5
16
16
244
1
I
14
14
39
5
31
84
77
37
26
5
3
18
9
17
2
213
II
29
44
7
91
26
17
33
7
22
2
486
29
71
19
140
14
9
22
21
19
7
3
9
21
45
8
11
14
37
105
18
17
233
76
716
35
15
33
17
63
20
6
8
37
57
6
5
II
5
15
13
200
I
I
10
9
28
5
24
62
65
28
19
4
3
14
5
15
1
189
10
22
36
243
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
GEORGIA— Continued
Aragon
Athens
Atlanta
Augusta
Austell
Avondale Estates
Bainbridge
Baldwin
Bamesville
Baxley
Berlin
Blackshear
Blakely
Bloomingdale
Blue Ridge
Bowdon
Bowman
Brooklet
Broxton
Brunswick
Buchanan
Buena Vista
Butler
Byron
Cairo
Calhoun
Camilla
Canon
Carrollton
Cartersville
Cedartown
Centerville
Chamblee
Chatsworth
Chauncey
Chickamauga
Clarkesville
Clarkston
Claxton
Clayton
Cleveland
Climax
Cochran
Cohutta
College Park
Collins
Colquitt
Columbus
Comer
Commerce
Concord
Conyers
Coolidge
Cordele
Cornelia
Covington
Cumming
Cusseta
Cuthbert
Dallas
Dalton
Damascus
Danielsville
Dawson
Decatur
Dillard
Doerun
Donalsonville
Doraville
Douglas
Douglasville
Dublin
East Dublin
Eastman
East Point
9
115
1,650
180
12
7
44
4
12
9
1
II
17
5
4
II
1
2
4
67
6
5
5
10
19
30
19
I
48
37
26
9
32
12
1
9
5
10
7
7
6
1
12
1
71
I
10
410
1
13
2
37
3
31
12
SO
13
6
II
15
57
2
2
21
47
I
4
12
26
41
28
41
12
12
99
5
83
1,346
153
8
7
4
32
304
27
4
29
15
4
11
1
9
1
10
1
13
4
5
4
7
1
4
7
4
54
13
6
5
S
7
3
16
3
26
4
14
1
5
41
7
29
8
22
4
5
4
30
2
9
3
1
5
4
S
9
1
7
7
A
I
U
1
1
60
1
11
8
2
347
1
63
8
5
7
26
11
3
24
7
17
35
15
8
5
6
7
4
11
4
48
9
7
7
17
4
38
I
9
3
1
8
4
19
7
33
8
22
6
32
9
7
5
12
91
GEORGIA— Continued
Edison
Elberton
Ellaville
Ellijay
Emerson
Fairburn
Fairmount
Fayetteville
Fitzgerald
Folkston
Forsyth
Fort Gaines
Fort Oglethorpe
Fort Valley
Franklin
Gainesville
Garden City
Gibson
Glennville
Gordon
Granlville
Gray
Greensboro
Griffin
Hahira
Hampton
Hapeville
Harlem
Hartwell
Hawkmsville
Hazlehurst
Helen
Hepzibah
Hiawassee
Hinesville
Hoboken
Hogansville
Holly Springs
Homerville
Hoschton
Ideal
Irwinton
Ivey
Jackson
Jasper
Jefferson
Jeffersonville
Jesup
Jonesboro
Kennesaw
Lafayette
La Grange
Lake City
Lakeland
Lavonia
Lawrenceville
Leary
Leesburg
Lenox
Lilburn
Lincolnton
Lithonia
Locust Grove
Loganville
Lookout Mountain
Louisville
Ludowici
Lumpkin
Luihersville
Lyerly
Lyons
Macon
Madison
Manchester
Mansfield
3
23
4
11
4
13
3
21
29
5
19
3
18
30
5
79
18
1
14
8
4
4
7
67
7
7
37
9
15
9
12
10
2
2
53
2
11
2
8
3
I
2
1
17
6
13
4
29
9
28
22
85
12
5
13
30
1
3
1
14
3
11
7
II
11
10
8
9
9
1
15
308
11
16
1
3
20
56
10
2
2
42
1
9
2
5
3
I
2
1
13
6
13
4
21
9
21
17
70
9
5
8
25
1
3
1
9
3
8
5
7
7
10
4
9
3
1
U
245
7
13
I
244
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Ciiy
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
einployees
Total
officers
Total
civilians
GEORGIA— Continued
Marietta
Marshaltville
Maysville
Mc Donough
Mc Rae
Meigs
Midway
Milan
Millen
Monroe
Montezuma
Monticello
Morrow
Morven
Moullrie
Mount Vernon
Nahunta
Nashville
Newington
Norcross
Norman Parit
Oakwood
Ocilla
Odum
Palmetto
Patterson
Pelham
Pembroke
Perry
Pine Lake
Pineview
Plains
Porterdale
Pon Wenlworth
Powder Springs
Ray City
Remerton
Reynolds
Richland
Richmond Hill
Rincon
Ringgold
Riverdale
Roberta
Rochelle
Rockmart
Rome
Rossvitle
Roswell
Royston
Saint Marys
Sandersville
Sardis
Savannah
Senoia
Shellman
Sky Valley
Smithville
Smyrna
Snellville
Soperton
Springfield
Statham
Stone Mountain
Summerville
Swainsboro ,
Sylvania
Sylvester
Tallapoosa
Talleulah Falls
Tennille
Thomaston
Thomasville
Thomson
Thunderbolt ,
106
8
I
14
10
4
4
4
8
30
20
II
23
2
43
2
5
17
3
18
2
7
IS
1
8
2
IS
4
2S
2
2
2
3
9
16
2
3
4
3
7
7
4
26
3
3
14
84
11
106
13
27
18
4
391
4
3
7
2
7S
26
10
4
4
IS
16
27
12
16
12
I
6
40
45
11
9
?
10
5
4
24
1
7
7
7
3
8
1
13
3
7
3
4
3
6
1
6
1
4
21
5
3
3
14
67
17
6
5
80
26
9
4
22
5
14
4
4
310
81
4
3
4
3
7
65
10
20
6
in
4
4
11
4
16
20
7
12
4
8
4
1
6
31
9
36
9
II
6
3
GEORGIA— Continued
Tifton
Tignall
Toccoa
Trenton
Trion
Tunnel Hill
Tyrone
Union City
Vidalia
Vienna
Villa Rica
Warm Springs
Warner Robins
Washington
Watkinsville
Waycross
Waynesboro
West Point
Whigham
Whilesburg
Willacoochee
Winder
Winterville
Woodbine
Woodstock
Wrens
Wrightsville
Zebulon
HAWAII
Hilo
Honolulu
IDAHO
Aberdeen
American Falls
Arco
Blackfoot
Boise
Bonners Ferry
Buhl
Caldwell
Cascade
Chubbuck
Coeur d'Alene
Emmett
Filer
Firth
Fruitland
Garden City
Gooding
Grangeville
Hailey
Heyburn
Homedale
Idaho Falls
Jerome
Kellogg
Ketchum
Lava Hot Springs
Lewiston
McCall
Meridian
Montpelier
Moscow
Mountain Home
Nampa
New Plymouth
Orofino
Osburn
Payette
Pinehurst
189
2,052
7
8
2
24
167
7
10
33
2
13
56
10
4
1
6
18
6
27
7
4
6
87
11
5
14
2
52
5
13
5
31
23
44
I
7
3
II
2
130
1,683
4
7
2
18
144
6
7
25
2
11
42
10
4
1
5
14
6
26
6
4
6
68
II
5
II
2
38
5
II
5
26
16
32
I
6
3
II
2
245
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
Cily
Total
police
employees
Total
officers
IDAHO — Continued
Pocatello
Post Falls
Preston
Pnest River.....
Rexburg
Rigby
Rupert
Saint Anthony .
Saint Maries ...
Salmon
Sandpoint
Shelley
Soda Springs....
Sun Valley
Twin Falls
Wallace
Weiser
Wilder
ILLINOIS
Abingdon
Addison
Albany
Aledo
Algonquin
Alorton
Alsip
Altamont
Alton
Amboy
Andalusia
Anna
Antioch
Areola
Argenta
Arlington Heights..
Arthur
Astoria
Auburn
Aurora
Barrington
Harrington Hills
Bartlett
Bartonville
Batavia
Beardstown
Bedford Park
Beecher
Belleville
Bellwood
Belvidere
Benid
Bensenville
Benton
Berkeley
Berwyn
Bethalto
Bloomingdale
Bloomington
Blue Island
Bolingbrook
Bourbonnais
Bradley
Braidwood
Breese
Bndgeporl
Bridgeview
Brighton
Broadview
Brookfieid
Brooklyn
Buffalo Grove
Bull Valley
10
75
1
8
20
9
44
3
75
1
2
9
19
4
2
128
6
1
8
200
41
22
29
II
23
II
30
4
68
48
24
7
43
12
15
83
12
44
84
40
78
19
20
2
8
3
44
4
37
32
7
54
1
5
55
1
8
15
5
36
3
64
1
2
9
12
4
1
96
5
1
4
174
28
16
20
7
18
7
25
4
58
41
22
4
32
8
12
63
8
29
72
29
54
14
16
2
4
3
38
3
29
27
3
43
1
ILLINOIS— Continued
Bunker Hill
Burbank
Burnham
Burr Ridge
Byron
Cahokia
Cairo
Calumet City
Calumet Park
Canton
Carbon Cliff
Carbondale
Carlinville
Carlyle
Carmi
Carol Stream
Carpentersville
Carrollton
Carterville
Carthage
Cary
Casey
Casey ville
Catlin
Central City
Centraiia
Centreville
Champaign
Channahon
Charleston
Chatham
Chenoa
Cherry Valley
Chester
Chicago ;
Chicago Heights
Chicago Ridge
Chillicothe
Christopher
Cicero
Clarendon Hills
Clinton
Coal City
Coal Valley
Cobden
CoUinsville
Colona
Columbia
Coullerville
Country Club Hills
Countryside
Crest Hill
Crestwood
Crete
Creve Coeur
Crystal Lake
Danville
Darien
Decatur
Deerfield
De Kalb
De Soto
Des Plaines
Dixmoor
Dixon
Dollon
Downers Grove
Dupo
Du Quoin
Durand
Dwight 4
Earlville
East Alton
East Carondelet
East Dubuque
4
45
11
17
8
39
19
94
24
19
2
59
13
6
10
49
42
4
4
3
17
6
9
2
3
34
17
111
8
33
5
2
9
9
14.042
100
26
12
10
114
17
18
5
6
2
37
2
8
2
24
22
23
6
IS
7
50
76
29
168
47
54
2
111
10
24
40
80
5
9
2
10
5
19
1
6
2
37
7
15
4
27
14
65
17
17
2
48
9
6
9
34
37
4
4
3
14
6
5
2
3
27
12
89
4
25
5
2
9
6
12.312
77
23
8
4
92
12
15
4
6
2
28
2
7
2
18
19
18
6
II
6
36
64
21
132
35
44
2
95
9
21
34
59
5
g
2
6
2
13
1
6
246
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Ciiy
Total
police
employees
Total
officers
Tola!
civilians
City
Total
police
employees
Total
officers
Total
civilians
ILLINOIS— Continued
East Dundee
East Hazel Crest
East Moline
East Peoria
East Saint Louis
Edwardsvitle
Effingham
Elbum
Eldorado
Elgin
Elli Grove Village
Elmhurst
Elmwood Park
Energy
Equality
Ene
Eureka
Evanston
Evergreen Park
Fairbury
Fairfield
Fairmont City
Fairmount
Fairview
Fairview Heights
Farmer City
Farmington
Fisher
Flora
Flossmoor
Ford Heights
Forest Park
Forest View
Fox Lake
Fox River Grove
Frankfort
Franklin Park
Freeburg
Freeport
Fulton ,
Galena
Galesburg
Galva
Genesee
Geneva
Genoa
Georgetown
Gibson City
Giffbrd
Gillespie
Gilman
Girard
Glasford
Glen Carlwn
Glencoe
Glendale Heights
Glen Ellyn
Glen view
Glenwood
Golf
Grafton
Granite City
Grayslake
Grayville
Green Rock
Greenup
Greenville
Gumee
Hamilton
Hampshire
Hanover
Hanover Park
Harrisburg
Hartford
Harvard
11
7
37
41
95
24
29
2
10
118
93
81
40
3
I
2
3
188
58
5
14
6
2
1
37
4
6
2
13
21
11
47
11
19
6
12
61
3
48
4
8
64
4
14
27
9
4
8
1
8
2
2
1
13
40
53
42
73
23
1
1
59
14
6
2
3
12
29
3
3
I
50
18
6
16
10
7
28
29
73
17
22
2
6
95
81
62
34
3
1
1
3
143
48
5
10
5
2
1
28
3
3
2
9
IS
8
35
8
15
6
11
45
3
43
4
7
47
4
9
18
5
4
7
1
5
2
2
1
9
32
37
31
56
16
1
1
52
9
3
2
3
7
20
3
3
I
35
12
5
12
ILLINOIS— Continued
Harvey
Harwood Heights
Havana
Hazel Crest
Hebron
Henning
Henry
Herrin
Hcrscher
Hickory Hills
Highland
Highland Park
Highwood
Hillsboro
Hillside
Hinkley
Hinsdale
Hodgkins
Hoffman Estates
Hometown
Homewood
Hoopeston
Huntley
lUiopolis
Indian Head Park
Island Lake
Itasca
Jacksonville
Jerome
Jersey ville
Johnston City
Joliet
Jonesboro
Justice
Kankakee
Kenilworth
Kewanee
Kildeer
Kincaid
Kirkland
Knoxville
Lacon
La Grange
La Grange Park
Lake Bluff
Lake Forest
Lake-in-the-Hills
Lake Villa
Lakewood
Lake Zurich
Lanark
Lansing
La Salle
Lebanon
Lemont
Leroy
Lewistown
Libertyville
Lincoln
Lincolnshire
Lincoln wood
Lindenhurst
Lisle
Litchfield
Lockport
Lombard
Loves Park
Lynwood
Lyons
Mackinaw
Macomb
Madison
Mahomet
Manhattan
Manito
95
21
7
26
2
1
3
15
2
28
17
72
12
7
32
2
33
13
89
5
45
15
6
3
12
12
34
39
4
16
5
196
3
23
68
13
19
2
1
1
4
3
32
26
12
51
12
7
2
23
1
55
18
9
18
2
3
45
23
18
33
10
36
15
25
71
27
II
25
1
29
14
3
3
2
64
16
7
21
2
1
.^
12
2
23
12
58
8
6
26
2
23
12
67
1
34
9
6
I
9
7
24
32
4
10
5
152
3
19
54
II
15
2
1
I
4
3
28
21
II
38
11
6
2
16
I
44
15
6
13
2
3
35
22
14
32
10
27
13
17
56
21
10
21
1
23
10
3
3
2
247
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ILLINOIS— Continued
Manteno
Marengo
Marion
Marissa
Markham
Maroa
Marquette Heights..
Marseilles
Marshall
Martinsville
Maryville
Mascoutah
Mason City
Matteson
Mattoon
Maywood
McCook
McHenry
McLeansboro
Melrose Park
Mendota
Meredosia
Metamora
Metropolis
Midlothian
Milan
Milledgeville
Millstadt
Minier.....
Minonk
Minooka
Mokena
Moline
Momence
Monee
Monmouth
Montgomery
Monticello
Morris
Morrison
Morton
Morton Grove
Mount Carmel
Mount Carroll
Mount Morris
Mount Olive
Mount Prospect
Mount Pulaski
Mount Sterling
Mount Vernon
Mount Zion
Mundelein
Murphysboro
Naperville
Nashville
National City
Nauvoo
Neoga
New Athens
New Baden
New Lenox
Newton
Nilei
Nokomis
Normal
Norridge
North Aurora
Northbrook
North Chicago
Northfield
Northlake
North Pekin
North Riverside
Oak Brook
Oakbrook Terrace
7
13
20
2
36
3
3
7
11
2
5
6
3
37
45
62
18
36
5
67
14
1
3
13
26
14
1
4
1
1
4
12
82
6
6
23
16
8
20
6
16
59
18
2
14
4
81
3
8
33
8
38
1
134
4
7
1
2
3
4
11
9
60
8
31
36
13
68
S9
27
31
1
39
47
19
ILLINOIS— Continued
Oak Forest
Oak Lawn
Oak Park
Oakwood
Oakwood Hills
O'Fallon
Ogden
Oglesby
Okawville
OIney
Olympia Fields
Oregon
Orion
Orland Hills
Orland Park
Ottawa
Oswego
Palatine
Palmyra
Palos Heights
Palos Hills
Palos Park
Pana
Paris
Park City
Park Forest
Park Ridge
Paxton
Pecatonica
Pekin
Peoria
Peoria Heights
Peotone
Peru
Petersburg
Phoenix
Pinckneyville
Pittsfield
Plamfield
Piano
Polo
Pontiac
Pontoon Beach
Port Byron
Posen
Princeton
Prophetstown
Quincy
Rantoul
Red Bud
Richmond
Richton Park
Ridgway
Riverdale
River Forest
River Grove
Riverside
Robbins
Robinson
Rochelle
Rochester
Rockdale
Rock Falls
Rockford
Rock Island
Rockton
Rolling Meadows
Romcoville
Roodhouse
Roscoe
Roselle
Rosemont
Rosiclare
Rossville
Round Lake
39
123
160
2
1
26
1
7
2
19
14
5
2
6
74
31
11
82
1
25
32
9
13
19
10
40
64
6
2
51
275
14
11
24
3
10
5
6
15
10
4
21
14
3
9
1
3
83
27
4
4
20
3
26
38
23
22
11
11
24
4
4
22
322
108
4
68
37
4
6
39
79
2
1
9
31
99
123
2
I
19
1
7
2
13
13
5
2
5
51
26
10
56
1
22
25
7
8
14
6
33
48
6
2
46
194
10
6
19
3
4
4
6
10
7
4
16
9
3
8
10
3
68
21
4
4
16
3
22
28
17
19
9
10
19
4
4
16
236
79
4
48
28
4
5
29
65
2
1
5
248
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
C.l>
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ILLINOIS— Continued
ILLINOIS— Continued
Round Lake Beach
Round Lake Heights
Round L«ke Park
Roxana
Royallon
Rushville
Saint Charles
Salem
Sandwich
Sauget
Sauk Village
Savanna
Schaumburg
Schiller Park
Seneca
Scsser
Shawneetown
Shelbyville
Shorewood
Silvis
Skokie
Sleepy Hollow
Smithton
South Barrington
South Beloit
South Chicago Heights .
South Elgin
South Holland
South Jacksonville
South Roxana
Sparta
Springfield
Spring Valley
Staunton
Steger
Sterling
Stickney
Stockton
Stone Park
Streamwood
Streator
Sugar Grove
Sullivan
Summit
Swansea
Sycamore
Taylorville
Thomasboro
Thornton ,
Tilton
Tinley Park
Tolono
Tremont
Trenton
Troy
Tuscola
University Park
Urbana ,
Vandalia
Venice
Vernon Hilli
Vienna
Villa Grove
Villa Park
Virden
Wamac
Warren
Warrcnsburg
Warrenville
Washington
Washington Park
Waterloo
Watseka
Wauconda
Waukegan
28
4
5
6
2
5
43
17
14
8
21
8
144
35
3
4
4
8
9
16
136
4
2
5
11
15
15
38
5
3
12
258
11
8
12
37
16
3
17
51
25
2
8
24
12
15
20
2
8
2
44
2
3
3
12
7
18
51
17
11
30
2
5
46
7
2
3
1
13
15
14
7
15
19
156
20
4
5
S
2
5
37
12
9
8
15
8
109
28
3
4
4
7
8
10
107
4
2
5
7
10
11
31
4
3
9
189
25
13
3
13
35
20
2
7
18
9
14
15
2
7
2
37
2
2
3
8
6
14
42
II
8
20
2
S
34
4
2
3
1
11
12
10
7
10
13
112
Wayne
Westchester
West Chicago
West City
West Dundee
Western Springs....
West Frankfort
Westmont
Westville
Wheaton
Wheeling
While Hall
Willowbrook
Willow Springs
Wilmettc
Wilmington
Winchester
Winfield
Winnebago
Winnetka
Winthrop Harbor .
Wood Dale
Woodhull
Woodridge
Wood River
Woodstock
Worth
Yorkville
Zeigler
Zion
Alexandria
Anderson
Angola
Auburn
Aurora
Batesville
Bedford
Berne
Bloomington
Boonville
Brazil
Bremen
Brownsburg
Burns Harbor...
Cambndge City .
Carmel
Cedar Lake
Charlestown
Chesterfield
Clarksville
Columbus
Connersville
Crawfordsville...
Crown Point
Decatur
Dunkirk
Dyer
East Chicago
Edinburgh
Elkhart
Elwood
Evansville
Fairmount
Fort Wayne
Fowler
Frankfort
Garrett
Gas City
Georgetown
Goshen
Greendale
INDIANA
14
161
13
1
10
10
35
4
75
11
13
13
17
8
4
51
17
11
5
31
69
38
34
29
19
7
20
107
14
121
20
268
8
348
3
35
13
13
3
39
11
3
34
20
5
11
19
12
35
3
48
40
5
18
8
40
8
2
10
1
24
9
22
1
35
18
24
21
9
3
36
10
130
9
14
6
6
30
4
55
II
13
5
4
37
12
7
4
25
63
32
27
22
15
4
15
93
9
97
16
237
4
314
3
27
8
9
3
35
7
249
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
T"
Cily
Total
police
employees
Total
officers
Total
civilians
C.ly
Total
police
employees
Total
officers
INDIANA— Continued
Greenfield
Greenwood
Griffith
Hammond
Hartford City
Highland
Hobart
Huntington ,
Indianapolis
Jasonville
Jasper
Jeffersonville
Kendallville
Kokomo
Kouls
Lafayette
La Porte
Lawrence
Lebanon
Ligonier
Linton
Logansport
Long Beach
Lowell
Marion
Martinsville
Merrillville
Michigan City
Mishawaka
Monticello
Mooresville
Muncie
Munster
Nappanee
New Castle
New Whiteland
Noblesville
North Manchester
North Vernon
Petersburg
Plainficld
Portage
Portland :
Princes Lakes
Rensselaer
Richmond
Schererville
Scottsburg *,.....,.
Sellersburg
Seymour
South Bend
Speedway
Tell City
Terre Haute
Tipton
Union City
Valparaiso
Wabash
Warsaw
West Lafayette
West Terre Haute
Westville
Whiting
Winchester
Winona Lake
IOWA
Adel
Albia
Algona
Altoona
Ames
Anamosa
25
46
34
224
15
42
38
35
1,327
4
20
49
18
126
3
104
39
40
21
11
12
39
5
16
65
20
47
88
83
13
16
135
34
13
40
9
31
13
15
7
25
47
15
3
11
97
27
13
13
28
289
32
14
128
13
13
43
25
33
36
12
4
24
13
4
20
34
25
186
11
35
29
29
976
4
14
41
13
100
3
81
36
34
17
11
8
32
5
11
61
15
38
80
73
8
12
118
26
9
37
5
24
10
11
4
20
37
10
3
7
76
19
9
10
22
229
25
9
113
9
7
34
24
27
31
6
4
19
9
4
5
12
9
38
4
7
9
6
351
IOWA— Continued
Ankeny
Atlantic
Audubon
Belle Plaine
Belmond
Bettendorf
Bloomfield
Boone
Burlington
Camanche
Carlisle
Carroll
Carter Lake
Cedar Falls
Cedar Rapids
Cenlerville
Chariton
Charles City
Cherokee
Clarinda
Clarion
Clear Lake
Clinton
Clive
Coralville
Council Bluffs
Cresco
Creston
Davenport
Decorah
Denison
Des Moines
De Witt
Dubuque
Dyersville
Eagle Grove
Eldora
Eldridge
Emmetsburg
Estherville
Evansdale
Fairfield
Forest City
Fort Dodge
Fort Madison
Garner
Glenwood
Grinnell
Grundy Center
Hampton
Harlan
Hawarden
Hiawatha
Humboldt
Independence
Indlanola
Iowa City
Iowa Falls
Jefferson
Johnston
Keokuk
Knoxville
Le Claire
Le Mars
Manchester
Maquoketa
Marion
Marshalltown
Mason City
Missouri Valley
Monticello
Mount Pleasant
Mount Vernon
Muscatine
Nevada
25
14
4
4
4
39
8
22
43
6
5
20
7
53
198
16
9
16
11
14
6
18
45
13
22
112
7
13
174
17
13
435
6
79
8
8
5
5
8
11
8
17
8
42
31
5
8
13
4
13
8
4
5
6
15
14
63
14
8
7
35
15
6
12
12
12
35
56
52
4
8
13
3
39
7
19
6
12
2
4
4
4
29
10
6
2
14
8
32
11
A
5
13
7
6
1
45
8
162
36
II
5
8
I
13
3
10
1
9
5
6
13
5
41
4
9
4
20
2
92
20
7
9
4
139
35
13
4
9
4
333
102
6
73
6
5
3
7
I
5
5
7
1
11
7
1
12
5
7
1
39
3
25
6
5
7
1
12
1
4
8
5
8
4
5
6
11
4
12
2
53
10
10
4
8
6
1
27
8
11
4
5
1
t?
8
4
9
3
29
6
39
17
43
9
4
5
3
12
1
1
32
7
7
250
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Tolal
police
employees
Tolal
ofTiccrs
Tolal
civilians
City
Tolal
police
employees
Ti)lal
ofTicers
IOWA— Continued
New Hampion
Ncwion
Norwalk
Oclwcin
Onawa
Orange City
Osage
Osceola
Oskaloosa
Oltumwa
Pella
Perry
Pleasant Hill
Red Oak
Rock Rapids
Rock Valley
Sac Cily
Sergeant Bluff
Sheldon
Shenandoah
Sioux Center
Sioux City
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
Winter^et
KANSAS
Abilene
Andale
Andover
Atchison
Augusta
Baxter Springs
Belle Plaine
Belleville
Beloit
Bonner Springs
Burlington
Caldwell
Caney
Canton
Carbondale
Cawker Cily
Chanute
Cheney
Clearwater
Coffey viUe
Colby
Columbus
Concordia
Conway Spnngs
Council Grove
Derby
Dodge City
Downs
Edwardsville
El Dorado
6
29
3
13
5
4
9
7
20
37
13
14
6
14
3
3
4
4
10
II
5
151
25
7
14
4
4
2
35
7
g
144
4
6
14
17
6
39
5
11
g
14
I
6
29
21
8
3
5
12
12
7
5
8
1
2
1
24
3
4
27
14
8
13
3
4
24
34
2
9
40
24
5
3
11
2
5
4
6
3
6
1
16
4
31
6
9
4
10
4
6
10
4
3
1
4
4
6
4
8
3
5
108
43
18
7
6
1
13
1
4
4
?
28
7
7
8
119
25
4
6
13
1
13
4
6
32
7
1
10
1
6
2
5
2
21
8
16
5
1
4
11
1
2
1
4
20
4
21
6
14
1
4
18
6
25
9
KANSAS— Continued
Elkhart
Ellinwood
Ellis
Ellsworth
Elwood
Emporia
Erie
Esk ridge
Eudora
Eureka
Fairway
Frankfort
Fredonia
Frontenac
Garden City
Gardner
Gamett
Goodland
Halstead
Haysville
Heringlon
Hiawatha
Highland
Hoisington
Holcomb
Hollon
Holyrood
Hope
Horton
Hugoton
Humboldt
Hutchinson
Independence
lola
Junction City
Kansas City
Kingman
Kinsley
Kiowa
Lacrosse
Lake Quivera
Leavenworth
Leawood
Lebo
Lenexa
Liberal
Lindsborg
Logan
Lyons
Marquette
MarysviUe
McPherson
Meade
Medicine Lodge
Merriam
Minneapolis
Mission
Mulvane
Neodesha
Ness City
Newton
Oakley
Obedin
Olathe
Osage City
Oswego
Ottawa
Overbrook
Overland Park
Oxford
Paola
Phillipsburg
Piltsburg
Pomona
Prairie Village
56
8
8
62
6
12
15
4
22
10
11
4
9
2
9
1
2
5
6
5
81
26
20
56
429
10
4
2
3
2
55
40
1
73
36
3
2
7
1
6
24
3
4
27
5
16
11
7
3
20
9
3
81
5
5
39
1
126
1
14
5
41
1
44
4
5
5
5
2
38
3
I
3
4
7
I
7
4
40
5
8
12
4
13
6
6
4
5
2
9
I
2
5
5
5
51
18
15
44
304
6
4
2
3
2
40
28
1
44
24
3
2
7
1
5
24
3
4
24
5
15
7
6
3
16
9
3
72
5
5
31
1
100
I
9
5
28
1
35
251
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
KANSAS— Continued
Pratt
Roeland Park
Rose Hill
Russell
Sabetha
Saint Francis
Salanta
Scott City
Seneca
Shawnee
Silver Lake
South Hutchinson
Spring Hill
Stafford
Sterling
Stockton
Sublette
Tonganoxie
Topeka
Towanda
Ulysses
Valley Center
Wa Keeney
Wamego
Weir
Wellington
Wellsville
Winfield
Yates Center
KENTUCKY
Adairville
Albany
Alexandria
Anchorage
Ashland
Auburn ,
Audubon Park
Augusta
Barbourville
Bardstown
Beattyville
Beaver Dam
Bellevue
Benton
Berea
Bloomfield
Bowling Green
Brandenburg
Brodhead
Brooksville
Burgin
Burkesville
Burnside
Butler
Cadiz
Calhoun
Calvert City
Campbellsburg
Campbellsville
Carlisle
Carrollton
Catlettsburg
Cave City
Central Cily
Clarkson
Clay City
Clinton
Cloverport
Cold Spring
Columbia
Corbin
Covington
18
8
4
13
5
2
1
8
4
61
1
6
4
4
6
4
1
4
325
2
6
10
5
10
1
16
3
25
3
2
8
4
12
52
1
2
3
13
16
5
4
10
8
19
4
91
3
1
1
2
7
2
4
5
1
4
1
11
7
8
6
5
7
1
2
2
2
4
6
21
100
17
7
3
7
5
2
1
4
4
50
1
6
4
4
4
4
1
4
237
2
6
6
5
5
1
13
3
19
3
KENTUCKY— Continued
Cumberland
Cynthiana
Danville
Dawson Springs
Dayton
Dixie
Dry Ridge
Earlington
Edgewood
Edmonton
Elizabethtown
Elkton
Elsmere
Eminence
Erianger
Evarts
Falmouth
Flat woods
Fleming-Neon
Flemingsburg
Florence
Fort Mitchell
Fort Thomas
Fort Wright
Frankfort
Franklin
Fulton
Gamaliel
Georgetown
Glasgow
Grayson
Greensburg
Greenup
Greenville
Guthrie
Hardinsburg
Harlan
Harrodsburg i..
Hartford '.
Hawesville
Hazard
Henderson
Hickman
Highland Heights
Hill view .„
Hindman
Hodgenville
Hopkinsville
Horse Cave
Independence
Irvine
Irvington
Jackson
Jamestown
Jeffersontown
Jenkins
Junction City
La Center
La Grange
Lakeside Park
Lancaster
Lawrenceburg
Lebanon
Lebanon Junction
Leilchfield
Lewisburg
Lewisport
Lexington
Liberty
London
Louisa
Louisville
Loyall
Ludlow
Madison ville
18
31
8
7
7
2
2
10
4
30
5
8
5
24
3
6
11
3
6
39
11
23
9
56
IS
13
2
24
28
3
6
2
7
4
3
13
18
4
1
25
51
10
4
1
I
7
42
4
8
11
2
9
4
41
6
4
1
7
5
13
IS
17
S
14
1
1
468
5
14
8
839
1
II
40
6
IS
24
4
7
6
2
2
9
4
23
5
7
5
19
3
6
7
2
6
35
11
22
8
47
11
9
2
18
22
3
3
2
7
4
3
9
12
4
1
23
45
6
4
1
1
7
38
4
8
8
2
7
4
34
4
4
1
6
5
5
10
12
2
10
I
I
355
5
14
4
651
I
7
32
252
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Ciiy
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
KEMTUCKY— Continued
KENTUCKY— Continued
Manchester
Marion
Mariin
Mayfield
Maysville
Middlesboro
Millersburg
Monticello
Morehead
Morganfield
Morgantown
Mount Sterling
Mount Vernon
Mount Washington.,
Muldraugh
Munfordville
Murray
New Castle
New Haven
Newport
Nicholasville
North Middletown...
Nortonville
Oak Grove
Olive Hill
Owensboro
Owenton
Owingsville
Paducah
Paintsville
Paris
Park City
Park Hills
Perryville
Pewee Valley
Pikeville
Pioneer Village
Pineville
Prestonsburg
Princeton
Prospect
Providence
Raceland
Radchff
Ravenna
Richmond
Russell
Russell Spnngs
Russellville
Saint Matthews
Saint Regis
Salyersville
ScottsviUe
Sebree
Shelbyville
Shepherdsville
Shively
Somerset
Souihgate
Springfield
Stanford
Stanton
Sturgis
Taylor Mill
Taylorsville
Tompkinsville
Uniontown
Vanceburg
Versailles
Villa Hills
Vine Grove
Walton
Warsaw
West Buechel
West Liberty
6
8
123
2
3
69
10
20
1
5
1
3
16
7
10
16
U
5
7
3
33
2
43
10
4
25
24
25
3
15
1
16
6
22
27
4
g
10
5
5
3
2
9
2
3
19
6
6
6
4
6
9
29
4
4
1
2
1
2
4
8
9
6
5
10
4
3
5
23
4
4
4
i
3
1
3
3
4
West Point
Whitesburg
Wilder
Williamsburg,.
Williamstown
Wilmore
Winchester
Wingo
Worthington
LOUISIANA
Alexandria
Baker
Baldwin
Ball
Baskin
Bastrop
Baton Rouge
Berwick
Bogalusa
Bossier City
Church Point
Collinston
Crowley
Denham Springs.
De Quincy
De Ridder
Farmerville
Franklin
Franklinton
Gonzales
Gretna
Harahan
Haynesville
Houma
Jeanerette
Jennings
Jonesboro
Jonesville
Kaplan
Kentwood
Kinder
Lafayette
Lake Charles
Leesville
Lockport
Loreauville
Mamou
Mandeville
Mansfield
Minden
Monroe
Morgan City
Natchitoches
New Iberia
New Orleans
Oakdale
Patterson
Pineville
Ponchatoula
Ruston
Saint Martinville..
Shreveport
Simmesporl
Springhill
Sulphur
Tallulah
Thibodaux
Vidalia
Ville Platte
Vinton
Vivian
Waterproof
134
25
5
6
1
37
719
9
43
156
14
1
31
21
9
20
12
20
12
30
81
22
7
64
15
22
12
10
17
10
6
201
116
30
4
1
13
32
16
27
164
49
47
68
1,736
17
12
37
11
36
19
502
4
11
37
14
41
16
24
13
14
I
2
6
3
7
2
3
26
114
25
121
46
41
52
1,333
17
12
36
11
35
14
407
4
II
27
14
35
16
24
13
14
1
5
5
I
1
31
6
638
81
9
34
9
137
19
14
30
1
19
2
9
70
17
16
4
1?
30
76
5
??
7
44
20
IS
77
17
10
16
1
in
6
147
54
112
4
29
1
4
1
n
17
16
27
253
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
LOUISIANA— Continued
Welsh
Westlake
West Monroe..
Westwego
Winnfield
MAINE
Ashland
Auburn
Augusta
Baileyville
Bangor
Bar Harbor
Bath
Belfast
Berwick
Biddeford
Boothbay Harbor..
Brewer
Bhdgton
Brunswick
Bucksport
Buxton
Calais
Camden
Cape Elizabeth
Caribou
Cumberland
Damariscotta
Dexter
Dixfield
Dover-Foxcroft
East Millinocket ...
Eastport
Eliot
Ellsworth
Fairfield
Falmouth
Farmington
Fort Fairfield
Fort Kent
Freeport
Fryeburg
Gardiner
Gorham
Hallowell
Hampden
Houlton
Jay
Kennebunk
Kennebunkport ....
Kittery
Lebanon
Lewiston
Limestone
Lincoln
Lisbon
Livermore Falls...
Machias
Madawaska
Madison
Mechanic Falls....
Medway
Mexico
Millinocket
Milo
Monmouth
Mount Desert
Newport
North Berwick
Norway
Oakland
Ogunquit
MAINE — Continued
3
46
47
5
75
8
25
14
9
43
12
22
9
37
8
2
II
12
15
14
9
3
4
3
4
5
2
7
14
8
16
9
4
8
15
3
10
18
5
9
17
6
20
13
23
8
80
4
7
18
4
4
7
5
3
2
4
14
2
3
44
35
5
63
7
17
10
8
39
6
17
5
29
7
2
7
7
II
12
8
3
4
3
4
5
2
6
10
7
11
8
4
4
II
3
9
13
5
8
12
6
15
9
17
6
70
4
7
13
4
4
6
5
3
2
4
12
2
2
4
3
5
5
3l
7I
Old Orchard Beach.
Old Town
Orono
Oxford
Paris
Piltsfield
Portland
Presque Isle
Richmond
Rockland
Rockport
Rumford
Sabattus
Saco
Sanford
Scarborough
Skowhegan
South Berwick
South Portland
Southwest Harbor....
Thomaston
Topsham
Van Buren
Waldoboro
Washburn
Waterville
Wells
Westbrook
Wilton
Windham
Winslow
Winthrop
Wiscasset
Yarmouth
York
MARYLAND
Aberdeen
Annapolis
Baltimore
Baltimore City Sheriff..
Bel Air
Berlin
Berwyn Heights
Bladensburg
Brunswick
Cambridge
Capitol Heights
Centreville
Chesapeake City
Chestertown
Cheverly
Cottage City
Cnsfield
Cumberland
Delmar
Denton
District Heights
Easlon
Edmonston
Elklon
Fairmount Heights -.
Federalsburg
Forest Heights
Frederick
Frostburg
Fruitland
Glenarden
Greenbelt
Greensboro
Hagerstown
Hampstead
Hancock
13
17
15
2
5
9
208
24
3
26
4
13
4
27
45
25
14
10
54
5
4
15
3
5
2
37
16
34
5
20
7
13
8
14
26
37
130
3,472
136
34
8
3
18
II
41
9
13
10
2
5
5
151
20
3
19
3
13
4
22
34
21
10
6
50
5
4
II
3
4
2
31
15
30
5
15
6
8
7
10
20
30
97
2,929
120
26
7
3
13
10
32
1
8
2
7
10
4
7
50
5
6
6
27
3
20
I
7
6
72
13
6
3
40
2
73
2
3
254
Table 72. — Number of Full-time I^w Enforcement Employees, Cities, October 31, 1987 — Continued
aty
Total
police
employees
Tolal
officers
Tolal
civilians
City
Tolal
police
employees
Tolal
officers
Total
civilians
MARYLAND— Continued
Havre De Grace
Hurlock
Hyallsville
Landover Hills
La Plata
Laurel
Lonaconing
Luke
Manchester
Momingside
Mount Rainier
New Wmdsor
North Beach
North East
Oakland
Ocean City
Ocean Pines
Oxford
Pocomoke City
Port Deposit
Preston
Princess Anne
Ridgely
Rising Sun
Riverdale
Rock Hall
Rockville
Saint Michaels
Salisbury
Smithsburg
Snow Hill
Sparrows Point
Sykesville
Takoma Park
Taneytown
Thurmont
University Park
Upper Marlboro
Westemport
Westminster
MASSACHUSETTS
Abington
Acton
Acushnet
Adams
Agawam
Amesbury
Amherst
Andover
Arlington
Ashbumham
Ashby
Athol
Aitleboro
Auburn
Avon
Ayer
Barnstable
Bedford
Belchertown
Bellingham
Belmont
Berlin
Bemardston
Blackstone
Bolton
Boston
Bourne
Boxboro
Boxford
Boylston
Braintree
28
29
17
23
52
30
37
63
80
5
3
23
73
26
IS
17
93
24
15
31
61
4
2
15
8
2,567
38
7
11
6
88
28
28
15
22
46
29
32
50
74
5
3
19
65
20
12
13
84
23
11
26
53
4
2
12
4
1,972
31
6
10
6
78
13
3
4
595
7
1
1
10
MASSACHUSETTS— Continued
Brewster
Bndgewater
Brockton
Brookiine
Burlington
Cambridge
Canton
Charlton
Chatham
Chelmsford
Chicopee
Clinton
Cohasset
Dan vers
Dartmouth
Dedham
Deerfield
Dennis
Dighton
Douglas
Dover
Dracut
Dudley
Duxbury
East Bridgewater
Eiastham
Easthampton
East Longmeadow
Easton k«;
Eidgartown
Everett '.
Fall River
Fitchburg u.
Foxboro
Framingham
Franklin
Freetown
Gardner
Gay Head
Georgetown
Gloucester
Granby
Great Barrington
Hadley
Hampden
Hanson
Hard wick
Harvard
Harwich
Hatfield
Haverhill
Hingham
Holden
Holliston
Hopedale
Hopkinton
Hudson
Hull
Ipswich
Lakeville
Lancaster
Lawrence
Lee
Leicester
Leominster
Lexington
Littleton
Longmeadow
Lowell
Ludlow
Lunenburg
Lynn
Lynnfield
Maiden
Mansfield
19
31
208
172
57
295
40
16
24
62
112
23
18
59
57
63
4
43
9
10
15
38
17
29
22
21
25
26
33
12
90
271
75
31
123
37
13
34
3
13
75
11
13
5
13
18
2
11
32
1
99
55
19
21
10
18
35
33
23
22
9
139
9
16
70
60
13
30
214
31
11
171
27
120
27
16
30
184
155
53
269
38
12
23
56
109
22
18
45
50
60
4
34
9
7
15
36
13
27
21
15
24
24
32
10
84
232
69
26
113
31
13
31
3
9
68
9
13
3
9
16
2
7
26
1
91
49
14
21
9
13
31
28
22
17
8
122
9
12
64
53
13
29
186
30
10
158
21
108
22
255
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MASSACHUSETTS— Continued
Marblehead
Marion
Marlborough ...
Marshfleld
Mashpee
Mattapoisett
Medfield
Medford
Medway
Melrose
Mendon
Merrimac
Methuen
Middleboro
Milford
Millbury
Millis
Milton
Monson
Montague
Monterey
Nahant
Nantuclcet
Needham
New Bedford
Newbury
Newburyport
Newton
Norfolk
Northampton
North Andover
Northboro
Northbridge
North Brookfield
Northfield
North Reading
Norton
Norwood
Orange
Orleans
Oxford
Peabody
Pembroke
Pepperell
Pittsfield
Plainville
Pnnceton
Provincetown
Quincy
Raynham
Reading
Rehobolh
Revere
Rockport
Rowley
Rutland
Salem
Sandwich
Saugus
Scituate
Seekonk
Sharon
Shelburne
Sherbom
Shirley
Shrewsbury
Somerville
Southborough
Southbridge
South Hadley
Southwick
Spencer
Springfield
Stockbridge
Stoneham
45
10
58
46
27
16
18
122
19
60
7
9
78
50
41
24
17
57
17
17
4
II
25
57
302
10
35
218
15
61
37
24
20
6
1
23
26
69
IS
25
22
72
27
14
96
15
1
22
230
22
42
21
122
18
12
1
95
28
54
38
39
28
2
IS
10
40
142
14
31
28
15
IS
547
6
48
43
10
55
41
21
16
16
114
14
58
7
5
64
39
39
19
13
54
13
15
4
10
21
53
258
7
33
198
13
54
34
18
19
S
1
22
23
58
12
20
17
64
26
13
84
13
1
18
196
17
40
17
114
17
7
1
87
26
31
30
34
22
2
15
9
33
136
11
29
27
11
12
489
6
43
MASSACHUSETTS— Continued
Stoughton
Stow
Sturbridge
Sudbury
Sunderland
Sutton
Swampscott
Swansea
Taunton
Templeton
Tisbury
Wakefield
Waltham
Ware
Wareham
Watertown
Webster
Wellesley
Wellfieet
Westboro
West Bridgewater .'.
Westfield
Westford
Westminster
Weston
Westport
West Springfield
Westwood
Weymouth
Wilmington
Winchendon
Winchester
Winthrop
Woburn ,
Worcester
Worthington
MICHIGAN
Adnan
Albion
Algonac ,
Allegan
Allen Park
Alma
Almont
Alpena
Ann Arbor
Armada
Atlas Township
Auburn
Auburn Hills
Augusta
Bad Axe
Bangor
Baraga
Barry Township
Bath Township
Battle Creek
Bay City
Beaverton
Bedford Township
Belding
Belleville
Benton Harbor
Benton Township
Berkley
Berrien Springs-Oronoko Township
Beverly Hills
Big Rapids
Birch Run
Birmingham
Blackman Township
Blissfield
50
47
17
12
IS
11
32
28
4
3
13
12
35
34
34
30
98
93
8
7
11
10
49
47
145
140
18
17
44
42
88
74
27
26
56
47
IS
11
28
28
18
17
71
67
35
28
8
7
27
23
23
22
72
65
32
30
115
102
42
40
13
12
50
43
38
37
79
75
489
391
6
6
37
31
38
31
7
6
9
8
58
S3
18
14
3
3
20
16
191
161
4
4
2
2
3
2
37
28
1
1
7
6
4
4
2
2
2
2
7
6
130
104
82
75
2
2
8
7
10
9
9
8
19
16
28
20
34
31
8
8
29
26
16
IS
53
38
23
18
5
4
256
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Ciiy
Total
ptilice
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
MICHIGAN— Continued
Bloomfield Hills
Bloomfield Township
Bloommgdale
Boyne City
Breckenndge
Bridgeport Township
Bridgman
Brighton
Bronson
Brown Qty
Brownstown Township
Buchanan
Bucna Vista Charier Township
Burr Oak
Burton
Cadillac
Calumet
Cambridge Township
Canton Township
Capac
Carleton
Caro
Carrollton Township
Carson ville
Caseville
Caseville Township
Cass City
Cassopolis
Cedar Springs
Center Line
Centreville
Charlevoix
Charlotte
Cheboygan
Chelsea
Chesaning
Chesaning Township
Chesterfield Township
Chikaming Township
Chocolay Township
Clare
Clawson
Clay Township
Clinton
Clinton Township
Clio- Vienna
Coldwater
Coleman
Coloma
Coloma Township
Columbia Township
Concord
Constantine
Coopersville
Corunna
Coven Township
Croswell
Crystal Falls
Davison
Davison Township
Dearborn
Dearborn Heights
Decatur
Deckerville
Denmark Township
De Tour
Detroit
De Witt
De Witt Township
Douglas
Dowagiac
Dryden Township
Durand
East Detroit
East Grand Rapids
27
85
1
10
3
7
4
12
S
2
27
10
18
1
40
18
1
1
53
3
2
7
3
1
2
1
3
5
5
34
1
7
19
11
9
4
5
10
1
3
8
22
IS
3
84
8
17
3
4
6
5
1
4
3
5
7
5
5
8
10
217
112
4
I
I
1
5,674
6
11
3
17
2
4
54
34
23
68
1
6
3
6
4
11
5
2
22
10
16
I
35
14
1
1
40
2
2
6
2
1
2
1
3
4
4
28
6
19
11
6
4
5
9
I
3
6
21
11
3
67
8
14
2
3
5
5
1
4
3
5
7
5
5
6
8
178
80
4
1
1
I
5,042
5
10
3
13
2
4
48
31
632
1
1
MICHIGAN— Continued
East Jordan
East Lansing
East Tawas
Eaton Rapids
Eau Claire
Ecorse
Elk Rapids
Elkton
Elsie
Emmett Township
Erie Township
Escanaba
Essexville
Evan
Fairgrove
Farmington
Farmington Hills
Fenton
Femdale
Ferrysburg
Flat Rock
Flmt
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
Grant
Grayling
Green Oak Township
Greenville
Grosse He Township
Grosse Pointe
Grosse Pointe Farms
Grosse Pointe Park
Grosse Pointe Shores
Grosse Pointe Woods
Hamburg Township
Hampton Township
Hamtramck
Hancock
Harbor Beach
Harbor Springs
Harper Woods
Hart
Hartford
Hastings
Hazel Park
Hennetta Township
Hesperia
Highland Park
Hillsdale
Holland
Holly
5
75
5
9
1
34
2
2
2
9
2
43
12
3
1
29
126
18
56
4
19
370
28
U
5
7
5
4
11
51
6
2
1
51
7
13
3
13
12
3
1
2
18
35
29
14
363
20
1
6
8
21
20
30
32
47
20
45
8
10
49
5
3
6
40
2
6
16
39
1
2
151
20
57
13
4
55
4
8
1
31
2
2
2
7
2
37
9
3
1
22
86
12
51
4
18
312
24
10
5
7
5
4
9
43
5
1
1
38
6
12
3
12
12
3
1
2
14
28
21
14
281
18
I
5
7
17
15
25
27
41
17
43
7
9
49
5
3
5
35
2
5
12
32
1
2
108
14
51
257
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MICHIGAN— Continued
Houghton
Howard City
Howard Township
Howell
Hudson
Hudson ville
Huntington Woods
Huron Township
Imlay City
Inkster ■.
Ionia
Iron Mountain
Iron River
Ironwood
Ishpeming
Ishpeming Township
Ithaca
Jackson
Jonesville
Kalamazoo
Kalamazoo Township
Kalkaska
Keego Harbor
Kent wood ,.
Kingsford
Kingston
Laingsburg
Lake Angelus
Lake Linden
Lake Odessa
Lake Orion
Lakeview
L'Anse
Lansing
Lansing Township
Lapeer
Lapeer Township
Lathrup Village
Laurium
Lawrence
Lennon
Leslie
Lexington
Lincoln Park
Linden
Litchfield
Livonia.....
Lowell
Ludington
Luna Pier
Mackinac Island
Mackinaw City
Madison Heights
Mancelona
Manchester Township
Manistee
Manistique
Manton
Marcellus
Marenisco Township
Manne City
Marlette
Marquette
Marshal!
Marysville
Mason
Maltawan
May ville
Melvindale
Memphis
Mendon
Menominee
Metro Beach
Michiana
Middleville
7
3
2
14
4
4
21
9
8
68
14
11
5
17
12
I
4
86
4
265
32
5
6
41
17
1
1
3
1
3
7
2
4
345
15
18
3
11
4
3
1
3
3
66
3
4
176
6
14
4
4
5
63
3
1
IS
12
1
2
1
10
3
38
18
14
9
2
1
29
3
I
22
5
2
4
7
1
2
13
3
4
16
6
7
48
10
11
5
16
11
1
4
63
4
214
24
4
5
35
17
1
1
3
1
2
4
2
4
253
14
16
3
8
4
3
1
3
3
59
3
4
136
5
13
4
3
5
56
3
1
IS
10
1
2
1
9
3
33
13
12
8
2
1
27
3
1
16
5
2
4
MICHIGAN— Continued
Midland
Midland Township
Milan
Milford
Millington
Monroe
Montague
Montrose
Montrose Township
Morrice
Mount Clemens
Mount Morris
Mount Morns Township
Mount Pleasant
Mundy Township
Munising
Muskegon
Muskegon Heights
Muskegon Township
Napoleon Township
Nashville
Negaunee
Newaygo
New Baltimore
Newberry
New Buffalo
New Haven
New Lothrop
Niles
Niles Township
Northfield Township
North Muskegon
Northville
North ville 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
Penlwater
Perry
Petoskey
Pigeon
Pinckney
Pinconning
Pittsfield Township
Plainwell
Pleasant Ridge
Plymouth
Pontiac
Portage
Port Austin
Port Huron
Portland
Port Sanilac
Poltcrville
Prairicville Township..
Quincy
Reading
Redford Township
46
2
18
15
3
48
7
4
2
1
39
8
24
27
6
4
70
25
10
3
2
10
1
8
4
5
4
2
28
8
2
6
22
25
23
1
5
54
73
2
2
3
6
8
II
3
7
1
19
13
4
1
8
7
2
5
12
2
4
3
22
8
10
22
212
59
I
69
6
1
3
I
3
1
76
43
2
14
10
3
44
7
4
2
I
31
6
21
22
5
4
62
20
9
3
2
10
I
7
4
5
3
2
21
8
2
5
18
17
22
1
5
35
67
2
2
3
5
7
8
3
7
1
18
10
4
1
6
6
2
4
11
2
3
3
IS
7
9
18
166
47
1
51
6
I
3
1
3
1
66
258
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
ofTlcers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
MICHIGAN— Continued
Reed Cily
Reese
Richfield Township (Genesee County)
Richfield Township (Roscommon County)
Richland
Richland Township
Richmond
River Rouge
Riverview
Rochester
Rocktord
Rockwood
Rogers City
Romeo
Romulus
Roosevelt Park
Rose City
Roseville
Ross Township
Royal Oak
Royal Oak Township
Saginaw
Saginaw Township
Saint Charles
Saint Clair
Saint Clair Shores
Saint Ignace
Saint Johns
Saint Joseph
Saint Joseph Township
Saint Louis
Saline
Saugatuck
Sault Sainte Marie
Schoolcraft
Scott ville
Sebewaing
Shelby
Shelby Township
Somerset Township
Southfield
Southgate
South Haven
South Lyon
South Rockwood
Sparta
Spaulding Township
Spnng Arbor Township
Springfield
Spring Lake
Springport
Stanton
Sterling Heights
Slevensville
Sturgis
Sumpier Township
Sunfield
Swartz Creek
Sylvan Lake
Taylor
Tecumseh
Thomas Township
Three Oaks
Three Rivers
Tittabawassee
Traverse City
Trenton ,
Troy
Tuscarora Township
Twin City ,
Unadilla Township
Union City
Unionville
Utica
Van Buren Township
6
2
6
3
3
3
14
35
30
19
6
9
7
9
S8
7
I
89
3
102
28
139
44
4
9
90
6
IS
26
9
9
IS
3
26
3
3
3
3
44
1
164
51
16
8
1
7
1
2
8
5
1
1
215
4
17
7
1
8
5
114
14
1
3
17
6
32
54
161
3
5
1
3
1
12
8
A
7
5
1
1
1
3
6
8
30
5
26
4
13
6
6
8
1
7
6
3
46
12
6
1
1
79
10
1
90
12
22
6
125
14
40
4
3
1
8
1
85
5
5
1
11
4
21
5
8
1
6
3
12
3
2
1
24
2
2
1
3
3
3
38
1
6
151
13
41
10
13
3
7
1
1
5
1
2
7
7
1
5
1
1
157
58
3
1
13
4
7
1
7
1
•i
100
14
13
1
1
3
13
4
5
1
28
4
47
7
115
46
3
4
1
1
2
I
1
8
4
7
1
MICHIGAN— Continued
Vassar
Vernon
Vicksburg
Walker
Walled Lake
Warren
Waterford Township
Watervliet
Wayland
Wayne
Webberville
West Bloomfield Township
West Branch
Westland
White Cloud
Whitehall
White Lake Township
White Pigeon
Williamston
Wixom
Wolverine Lake
Woodhaven
Woodstock Township
Wyandotte
Wyoming
Yale
Ypsilanti
Zeeland
Zilwaukee
MINNESOTA
Albert Lea
Alexandria
Anoka
Apple Valley
Austin
Babbitt
Baxter
Bayport
Belle Plaine
Bemidji
Benson
Big Lake
Blaine
Bloomington
Blue Earth
Brainerd
Breckenridge
Brooklyn Center
Brooklyn Park
Buffalo
Bumsville
Caledonia
Cambridge
Cannon Falls
Champlin
Chanhassen Village
Chaska
Chisholm
Circle Pines-Lexington
Cloquet
Cold Spring
Columbia Heights
Coon Rapids
Corcoran
Cottage Grove
Crookston
Crosby
Crystal
Dawson
Dayton
Deephaven
Detroit Lakes
4
1
5
25
15
276
96
4
4
47
3
57
3
98
1
6
21
3
4
15
8
25
1
59
98
3
55
7
1
39
22
33
36
48
4
3
4
5
21
5
5
38
121
5
21
11
41
57
8
60
3
5
6
14
1
II
13
8
16
4
24
52
3
34
14
8
38
3
2
8
13
4
I
4
19
II
235
76
4
4
34
3
42
3
86
1
6
13
3
4
13
6
23
1
49
71
3
43
6
1
29
15
26
27
32
4
3
4
4
18
5
4
30
96
5
18
7
32
47
7
48
3
5
5
13
1
9
13
7
IS
4
18
45
3
20
12
5
30
3
2
7
II
259
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
ofTicers
MINNESOTA— Continued
Dilworth
Duluth
Eagan
East Grand Forks
Eden Prairie
Edina
Elk River
Ely
Eveleth
Fairmont
Faribault
Farmington
Fergus Falls
Forest Lake
Fridley
Gilbert
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
Lakeville
Le Sueur
Lino Lakes
Litchfield
Little Falls
Long Prairie
Luverne
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
Northfleld
North Mankato
North Saint Paul
Oakdale
Oak Park Height!
Olivia
Orono
Ortonville
Osseo
Owatonna
Park Rapids
3
166
48
20
43
49
14
9
8
18
30
7
22
9
40
6
7
3
39
4
15
5
19
7
29
31
5
20
II
29
6
4
4
3
4
8
26
5
9
9
13
5
6
3
42
30
51
20
4
4
15
827
55
9
48
3
10
II
14
21
27
3
3
22
21
9
IS
18
6
4
17
6
2
24
5
3
129
32
18
31
43
U
8
IS
3
22
8
6
1
17
5
8
1
32
8
6
6
1
1
29
10
4
12
3
5
18
1
6
1
28
1
22
9
5
14
6
11
22
7
5
1
4
4
1
4
7
1
18
8
5
8
1
8
1
II
2
^
6
3
35
7
24
6
38
13
16
4
4
4
13
2
729
98
42
13
8
1
34
14
4
1
7
3
10
1
13
1
19
2
24
3
1
%
19
3
16
5
8
1
13
2
IS
3
S
1
4
16
1
5
1
7
22
2
5
MINNESOTA— Continued
Pipestone
Plainview
Plymouth
Princeton
Prior Lake
Proctor
Ramsey
Red Wmg
Redwood Falls
Richfield
Robbinsdale
Rochester
Roseau
Rosemount
Roseville
Saint Anthony
Saint Bonifacius-Minnetrista
Saint Cloud
Saint James
Saint Joseph
Saint Louis Park
Saint Paul
Saint Paul Park
Saint Peter
Sartell
Sauk Centre
Sauk Rapids
Savage
Shakopee
Silver Bay
Slay ton
Sleepy Eye
South International Falls
South Lake Minnetonka
South Saint Paul
Springfield
Spring Lake Park
Staples
Stillwater
Thief River Falls
Tracy
Two Harbors
Virginia
Wabasha
Wadena
Waite Park
Waseca
Wayzata
Wells
West Hennepin
West Saint Paul
White Bear Lake
Willmar
Windom
Winona
Woodbury
Worthington
MISSISSIPPI
Aberdeen
Ackerman
Amory
Batesville
Bay Saint Loula
Belzoni
Booneville
Brookhaven ,
Bruce
Clarksdale
Clinton
Collins
Columbia
Columbus
5
3
42
4
12
5
8
22
8
55
26
115
4
9
39
12
7
63
6
3
63
646
6
12
5
8
9
12
20
4
5
5
3
14
33
4
9
5
18
15
3
9
25
4
9
5
9
8
4
8
31
34
31
8
38
18
22
S
3
33
4
U
5
7
21
7
45
18
96
4
8
36
11
6
56
6
3
50
510
6
9
5
5
8
10
17
4
5
S
3
13
27
4
8
5
15
14
3
8
23
4
8
5
8
7
4
7
22
27
24
7
35
14
16
16
4
13
14
10
5
14
27
7
28
22
7
21
54
260
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Tolal
police
employees
Tolal
officers
Total
civilians
Cily
Total
police
employees
Total
officers
Tolal
civilians
MISSISSIPPI— Continued
MISSOURI
Como
Corinth
Decatur
De Kalb
Drew
Ellisville
Eupora
Fayette
Florence
Flowood
Forest
Fulton
Gloster
Greenville
Greenwood
Grenada
Gulfport
Hazlehurst
Hernando
Indianola
Inverness
Jaclcson
Kosciusico
Laurel
Leakesville
Lexington
Long Beach
Louisville
Lucedale
Macon
Madison
Magee
McComb
Mendenhail
Mendian
Morton
Moss Point
Natchez
Newton
Ocean Springs..
Oxford
Pascagoula
Pass Christian..
Pearl
Pelahatchie
Petal
Philadelphia
Picayune
Pickens
Purvis
Quitman
Raymond
Ridgeland
Ripley
Rolling Forlc....
Ruleville
Sandersville
Senatobia
Starkville
Stonewall
Summit
Sunflower
Tupelo
Verona
Vicksburg
Water Valley ...
Waveland
Waynesboro
Wiggins
Winona
Yazoo City
7
2
5
20
12
9
4
104
50
35
94
14
7
22
4
524
20
77
4
13
32
22
9
5
9
13
43
11
118
II
35
65
11
35
33
83
18
36
5
16
I
34
3
6
8
4
31
10
5
11
2
10
31
2
3
4
69
6
69
10
17
II
II
13
34
4
24
2
3
6
6
4
1
4
IS
8
6
4
78
41
27
61
12
7
17
4
406
17
55
4
9
22
19
5
5
7
13
28
6
91
11
32
50
7
25
30
52
12
28
5
II
13
21
3
6
7
4
23
6
5
7
2
9
23
2
3
3
64
4
51
10
13
II
7
9
30
118
3
22
4
10
3
4
Arnold
Ballwin
Bellefontaine Neighbors.
Bcl-Nor
Bel-Ridge
Bellon
Berkeley
Blue Springs
Bolivar
Bonne Terre
Boonville
Bowling Green
Branson
Breckenridge Hills
Brentwood
Bridgeton
Brookfield
Butler
Calverton Park
Cameron
Canton
Cape Girardeau
Carrolllon
Carthage
Centralia
Chaffee
Charlack
Claycomo
Clayton
Clinton
Columbia
Cool Valley
Country Club Hills
Creslwood
Creve Coeur
Crystal City
Dellwood
De Soto
Des Peres
Edmundson
Ellisville
Eureka
Excelsior Springs
Farminglon
Fayette
Fenton
Ferguson
Festus
Flat River
Florissant
Frontenac
Fulton
Garden City
Gladstone
Glendale
Grain Valley
Grandview
Hanley Hills
Hannibal
Harrisonville
Hazelwood
Hillsdale
Independence
Ironton
Jackson
Jefferson City
Jennings
Joplin
Kansas City
Kearney
Kennetl
Kirksville
Kirkwood
Ladue
Lake Lotawana
45
32
37
28
23
23
7
7
12
11
28
22
50
42
49
35
10
7
6
6
19
14
7
5
24
19
12
11
26
20
62
51
17
10
10
6
7
7
13
9
7
3
77
58
7
6
25
22
10
5
5
5
8
7
8
7
66
55
19
15
112
89
9
8
9
8
35
28
41
33
15
11
14
13
18
12
37
31
8
7
20
19
13
12
26
18
20
15
5
5
23
17
59
52
24
15
14
8
85
71
23
18
22
18
50
40
13
10
7
6
48
39
6
3
43
30
22
14
49
37
9
7
199
132
4
4
14
14
72
38
52
37
73
39
1,708
1,113
4
4
23
17
31
25
60
46
35
29
6
6
261
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MISSOURI— Continued
Lake Saint Louis
Lamar
Lebanon
Lees Summit
Lexington
Louisiana
Macon
Manchester
Maplewood
Marceline
Marshall
Maryland Heights
Maryville
Mexico
Mobcrly
Moline Acres
Neosho
Nevada
Normandy
North Kansas City
Northwoods
Odessa
O'Fallon
Olivette
Overland
Pacific
Parkville
Pevely
Pine Lawn
Plattsburg
Pleasant Hill
Potosi
Ray town
Republic
Rich Hill
Richmond
Richmond Heights
Riverside
Riverview
Rolla
Saint Ann
Saint Charles
Sainte Genevieve
Saint George
Saint John
Saint Joseph
Saint Louis
Saint Peters
Saint Robert
Sedalia
Shrewsbury
Sikeston.......
Slater
Smithville
Springfield
Sugar Creek
Sullivan
Sunset Hills
Town and Country
Trenton
Union
University City
Valley Park
Vandalia
Velda Village Hills
Vinita Park
Warrensburg
Warson Woods
Washington
Webb City
Webster Groves
Wellston
Wentzville
17
8
20
66
8
10
12
20
28
5
29
72
23
33
38
7
25
24
20
37
19
6
38
26
61
16
6
14
17
3
10
11
60
11
6
14
31
16
8
29
37
93
7
4
18
127
2.076
50
9
47
19
52
7
6
229
13
18
22
27
16
13
96
11
7
1
10
23
7
24
12
53
20
17
10
1?
19
1
22
6
5
22
7
59
13
15
8
27
6
34
4
7
19
6
16
8
18
2
30
7
17
2
6
36
2
22
4
46
15
11
5
5
1
9
5
16
1
t
5
5
9
2
45
15
11
2
4
9
5
28
3
11
5
8
19
10
33
4
71
22
6
1
4
16
2
103
24
1.518
558
42
8
9
37
10
17
46
4
6
177
52
11
13
17
25
11
11
76
20
10
4
1
9
21
6
19
12
43
10
17
12
MISSOURI— Continued
Weston
West Plains
Windsor
Woodson Terrace
MONTANA
Baker
Billings
Boulder
Bozeman
Columbia Falls
Conrad
Deer Lodge-Powell County
East Helena
Eureka
Fort Benton
Glasgow
Glendive
Great Falls
Hamilton
Havre
Helena
Kalispell
Laurel
Lewistown
Livingston
Malta
Miles City-Custer County
Missoula
Plenty wood
Red Lodge
Scobey
Sidney
Thompson Falls.
Troy
West Yellowstone
Whitefish
Wibaux
NEBRASKA
Alliance
Ashland
Auburn
Aurora
Beatrice
Bellevue
Broken Bow
Central City
Chadron
Columbus
Cozad
Crete
Dakota City
David Cily
Elkhorn
Fairbury
Falls City
Fremont
Gering
Gordon
Gothenburg
Grand Island
Hastings
Holdrege
Kearney
Kimball
La Vista
Lexington
Lincoln
Madison
McCook
Milford
10
119
3
30
11
5
5
4
2
3
13
14
86
10
16
46
32
IS
13
IS
5
21
68
5
4
2
11
2
2
8
13
1
27
6
6
7
26
53
13
5
17
33
9
14
3
5
4
9
13
38
16
7
9
SO
33
13
35
7
IS
14
302
3
16
S
3
14
5
13
4
101
2
26
6
5
5
4
2
3
8
10
59
9
14
35
21
9
10
10
5
15
56
4
4
2
10
2
2
4
20
5
6
6
19
40
7
S
11
22
5
9
3
5
4
8
9
29
13
6
S
45
30
9
30
6
14
9
231
3
14
5
262
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
fKiiice
employees
Total
ofTiccrs
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
NEBRASKA— Continued
Minden
Mitchell
Nebraska Oty
Norfolk
North Platte
Ogallala
Omaha
Ord
Papillion
Plaltsmoulh
Ralston
Schuyler
ScoltsblufT
Seward
Sidney
South Sioux City..
Stanton
Supenor
Syracuse
Tecumseh
Tekamah
Valentine
Valley
Wahoo
Wayne
West Point
Wilber
York
NEVADA
Boulder City
Caliente
Carlin
Fallon
Henderson
Las Vegas Metropolitan Police Jurisdiction .
Lovelock
North Las Vegas ,.
Reno
Sparks
Winnemucca
Yenngton
NEW HAMPSHIRE
Allenslown
Alton
Amherst
Ashland
Auburn
Barrington....
Bedford
Belmont
Berlm
Boscawen
Bow
Bradford
Bristol
Carroll
Charlestown
Claremonl ....
Colebrook ....
Concord
Conway
Derry
Dover
Durham
Enfield
Epping
Exeter
Farmington
Fitzwilliam...
Franklin
4
4
13
40
48
11
748
6
11
9
8
6
36
12
IS
18
2
4
3
4
3
3
3
6
11
6
4
18
24
2
4
22
87
1,629
6
149
360
98
17
6
4
4
12
30
30
9
587
4
10
8
7
6
28
8
U
14
2
4
3
3
3
3
3
6
7
6
4
14
20
2
4
15
56
1,084
5
111
219
65
14
6
1
10
18
161
7
31
545
1
38
141
33
3
NEW HAMPSHIRE— Continued
Gilford
GofTstown
Gorham
Greenville
Hampstead
Hampton
Hanover
Haverhill
Hillsboro
Hinsdale
Holderness ,
Hollis
Hooksett
Hopkinton
Hudson
Jackson
Jaffrey
Keene
Kingston
Laconia
Lancaster
Lebanon
Lee
Lincoln
Litchfield
Littleton ,
Londonderry
Loudon
Manchester
Meredith
Merrimack
Milford
Milton
Moultonboro
Nashua
New Castle
New Hampton
Newington
New London
Newmarket
Newport
Newton
Northfield
North Hampton
Northumberland
Northwood
Pelham
Pembroke
Peterborough
Plainfield
Plaistow
Plymouth
Portsmouth
Raymond
Rindge
Rochester
Rye
Salem
Sanbornton
Seabrook
Somersworth
Sunapee
Tillon
Wakefield
Waterville Valley
Webster
Winchester
Windham
Wolfeboro
Woodstock
13
32
9
2
2
38
21
5
6
S
5
8
19
5
36
2
11
41
6
44
6
26
3
11
6
13
41
2
210
13
39
20
2
6
190
3
3
10
9
10
16
5
5
9
4
3
19
9
12
1
16
9
75
8
3
45
9
62
4
22
25
5
8
5
6
1
5
16
11
4
7
22
8
2
2
30
15
4
6
4
5
7
18
4
27
2
9
36
6
33
6
24
2
6
5
9
33
2
171
12
29
18
2
5
141
3
3
9
4
9
12
4
4
8
4
3
14
9
10
1
11
7
64
7
3
37
8
50
4
17
18
4
7
5
5
1
4
11
9
4
263
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
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
Bamegat Township
Barrington
Bay Head
Bayonne
Beach Haven
Beachwood
Bedminster Township
Belleville
Bellmawr
Belmar
Belvidere
Bergenfield
Berkeley Heights
Berkeley Township
Berlin
Berlin Township
Bernards Township
Bernardsville
Beverly
Blairstown Township
Bloomfield
Bloomingdale
Bloomsbury
Bogota
Boonton
Boonton Township
Bordentown
Bordentown Township
Bound Brook
Bradley Beach
Branchburg Township
Brick Township
Bridgeton
Bridgewater Township
Brielle
Brigantine
Brooklawn
Buena
Burlington
Burlington Township
Butler
Byram Township
Caldwell
Califon
Camden
Cape May
Cape May Point
Carlstadt
Cameys Point Township
Carteret
Cedar Grove Township
Chatham
Chatham Township
Cherry Hill Township
Chesilhurst
Chester
Chester Township
Cinnaminson Township
Clark
Clayton
37
2S
17
12
5
4
12
18
63
480
18
19
4
31
13
23
16
8
204
14
15
13
90
23
27
7
54
30
59
IS
14
30
15
5
11
132
15
1
21
23
8
11
19
21
21
16
107
59
63
18
35
5
13
40
39
IS
14
22
3
320
20
6
28
22
56
28
24
31
144
4
9
17
32
48
19
30
24
14
8
5
4
12
7
56
378
14
18
4
25
10
17
15
7
I8S
14
14
12
87
19
22
6
48
26
49
13
13
24
14
4
6
112
14
1
21
20
8
9
14
17
16
15
87
49
49
13
30
5
9
36
31
14
12
20
3
277
14
6
27
15
SO
27
1
28
118
4
8
16
24
43
12
II
7
102
4
1
NEW JERSEY— Continued
Clementon
Cliffside Park
Clifton
Clinton ,
Clinton Township
Closter
Collingswood ,
Cranbury Township
Cranford Township
Cresskill
Deal
Delanco Township
Delaware Township
Delran Township
Demarest
Denville Township
Deptford Township
Dover
Dover Township
Dumont
Dunellen
Eastampton Township
East Brunswick Township
East Greenwich Township
East Hanover Township
East Newark
East Orange
East Rutherford
East Windsor Township
Eatontown
Edgewater
Edgewater Park Township
Edison
Egg Harbor City
Egg Harbor Township
Elizabeth
Elk Township
Elmer
Elmwood Park
Emerson
Englewood
Englewood Cliffs
Englishtown
Essex Fells
Evesham Township
Ewing Township
Fairfield Township
Fair Haven
Fair Lawn
Fairview
Fanwood
Far Hills
Flemington
Florence Township
Florham Park
Fort Lee
Franklm
Franklin Lakes
Franklm 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)
10
41
164
5
17
20
28
10
59
21
17
8
7
26
12
35
52
35
158
36
17
11
114
12
29
10
260
30
53
43
24
14
206
18
72
375
7
2
37
19
90
27
2
11
41
74
32
14
59
25
22
3
10
23
26
101
13
25
25
4
88
26
S3
4
34
55
17
2
35
31
26
28
83
20
21
9
39
143
5
16
19
22
9
48
18
13
7
6
21
12
28
45
30
126
34
14
10
87
11
26
10
249
27
41
33
24
13
165
11
63
317
6
2
34
19
77
26
2
10
37
66
31
13
52
25
21
3
9
18
24
97
12
21
19
4
77
23
41
4
30
49
17
2
28
24
21
23
64
16
14
264
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aty
Total
police
employees
Total
officers
Total
civilians
City
Total
police
einployees
Total
officers
Total
civilians
NEW JERSEY— Continued
Greenwich Township (Warren County).
Guttenberg
Hackensack
Hackettstown
Haddonfield
Haddon Heights
Haddon Township
Hainesport Township
Haledon
Hamburg
Hamilton Township (Mercer County)
Hamilton Township (Atlantic County).
Hammonton
Hampton
Hanover Township
Harding Township
Hardyston Township
Harrington Park
Harrison
Harrison Township
Harvey Cedars
Hasbrouck Heights
Haworth
Hawthorne
Hazlet Township
Helmetta
High Bridge
Highland Park
Highlands
Hightstown
Hillsborough Township
Hillsdale
Hillside Township
Hi Nella
Hoboken
Ho-Ho-Kus
Holland Township
Holmdel Township
Hopatcong
Hopewell Township
Howell Township
Independence Township
Interlaken
Irvington
Island Heights
Jackson Township
Jamesburg
Jefferson Township
Jersey City
fCeansburg
Kearny
Kenilworth
Keyport
Kinnelon
Lacey Township
Lakehurst
Lakewood
Lamberlville
Laurel Springs
Lavallette
Lawnside
Lawrence Township
Lebanon Township
Leonia
Lincoln Park
Linden
Lindenwold
Lin wood
Little Egg Harbor Township
Little Falls Township
Little Ferry ,
Little Silver
Livingston
Lodi
Logan Township
2
19
118
22
29
20
29
12
18
4
190
38
30
2
33
14
16
10
52
7
8
32
13
29
46
3
5
37
19
15
40
24
76
I
128
14
5
31
29
27
76
3
5
185
5
63
8
36
955
33
133
26
21
15
42
10
119
9
6
19
7
60
9
24
21
134
35
21
29
25
24
19
55
46
9
2
18
104
17
22
16
24
II
14
4
166
28
24
2
28
13
11
10
48
7
7
30
12
28
38
3
5
29
13
9
34
19
67
1
121
14
5
25
22
22
62
3
5
154
5
51
8
30
878
27
127
25
15
14
33
8
101
7
5
11
6
54
8
21
20
119
31
17
20
21
24
14
48
44
9
NEW JERSEY— Continued
Long Beach Township
Long Branch
Longporl
Lopatcong Township
Lower Alloways Creek Township
Lower Township
Lumberton Township
Lyndhurst Township
Madison
Magnolia
Mahwah Township
Manalapan Township
Manasquan
Manchester Township
MansHeld Township (Burlington County)
Mansfield Township (Warren County)
Mantoloking
Mantua Township
Manville
Maple Shade Township
Maplewood Township
Margate City
Marlboro
Matawan
May wood
Medford Lakes
Medford Township
Mendham
Mendham Township
Merchantville
Metuchen
Middlesex
Middle Township
Middletown Township
Midland Park
Milford
Millburn Township
Milltown
Millville
Mine Hill Township
Monmouth Beach
Monroe Township (Gloucester County)...
Monroe Township (Middlesex County)....
Montclair
Montgomery Township
Mont vale
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
Norih Caldwell
38
98
14
14
19
42
17
54
39
8
48
48
25
72
2
II
8
21
22
36
58
39
62
24
26
9
34
13
14
16
33
32
48
124
16
4
60
13
65
8
11
50
37
113
21
21
38
18
41
22
66
56
II
24
10
11
24
49
47
12
7
18
71
8
1,225
158
8
3
37
29
21
46
138
75
18
35
78
11
10
12
34
16
48
35
8
42
40
18
63
2
11
7
15
20
30
51
30
49
20
25
8
27
12
13
12
29
30
36
101
12
4
52
10
53
7
10
41
28
99
15
20
33
15
32
18
58
47
11
19
9
10
20
39
40
11
6
15
64
7
,081
130
6
3
34
24
15
43
100
68
IS
265
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW JERSEY— Continued
Northfield
North Haledon
North Hanover Township
North Plainfield
North vale
North Wildwood
Norwood
Nulley
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
Palmyra
Paramus
Park Ridge
Parsippany-Troy Hills Township
Passaic
Passaic Township
Paterson
Paulsboro
Peapack and Gladstone
Pemberton
Pemberton Township...
Pennington
Pennsauken
Penns Grove
Pennsville Township
Pequannock Township
Perth Amboy
PhiUipsburg
Pme Beach
Pine Hill
Pine Valley
Piscataway Township
Pitman
Plainfield
Plainsboro Township
Pleasant ville
Plumsted Township
Pohatcong
Point Pleasant
Point Pleasant Beach
Pomplon Lakes
Princeton
Pnnceton Township
Prospect Park
Rah way
Ramsey
Randolph Township
Rantan
Rantan Township
Readinglon Township
Red Bank
Ridgefield
Ridgefield Park
Ridgewood
Ringwood
Riverdale
River Edge
Riverside
Riverton
River Vale
Rochelle Park Township
Rockaway
Rockaway Township
26
17
4
42
13
32
14
71
30
9
69
5
19
71
11
4
132
14
22
99
3
31
16
120
19
129
154
24
428
19
7
3
49
2
116
16
33
29
118
38
6
17
8
98
18
162
28
49
2
6
32
34
24
35
37
10
76
36
45
19
23
17
46
32
31
53
27
14
26
II
6
21
22
14
57
19
14
3
37
12
25
14
61
28
8
61
4
14
61
7
4
101
13
21
91
3
30
15
98
19
110
146
18
382
13
6
3
41
2
86
11
30
24
105
32
5
14
7
86
13
126
20
43
2
5
25
20
18
31
30
10
70
31
35
17
21
16
40
30
29
45
21
11
22
10
6
21
22
13
43
NEW JERSEY— Continued
Roseland
Roselle
Roselle Park
Roxbury Township
Rumson
Runnemede
Rutherford
Saddle Brook Township
Saddle River
Salem
Sayreviile
Scotch Plains
Sea Bright
Sea Girt
Sea Isle City
Seaside Heights
Seaside Park
Secaucus
Ship Bottom
Shrewsbury
Somerdale
Somers Point
Somerville
South Amboy
South Belmar
South Bound Brook
South Brunswick Township ;.
South Hackensack
South Orange
South Plainfield
South River
South Toms River
Sparta Township
Spotswood
Spnngfield
Spring Lake
Spnng Lake Heights
Stafford Township
Stanhope
Stillwater Township
Stone Harbor
Stratford
Summit
Surf City
Sussex
Swedesboro
Teaneck Township
TenaHy
Teterboro
Tewksbury Township
Tinton Falls
Totowa
Trenton
Tuckerton
Union Beach
Union City
Union Township
Upper Saddle River
Ventnor City
Vernon Township
Verona
Vineland
Voorhees Township
Waldwick
Wallington
Wall Township
Wanaque
Warren Township
Washington
Washington Township (Bergen County)
Washington Township (Gloucester County)
Washington Township (Mercer County)
Washington Township (Morns County)
Washington Township (Warren County)
Walchung
22
44
33
41
17
16
50
32
IS
23
92
46
12
13
32
32
19
68
13
15
9
29
37
31
9
12
66
18
53
57
32
6
32
20
43
17
16
47
8
I
31
10
55
14
4
4
99
36
8
8
30
24
433
10
14
165
145
22
42
30
34
128
42
23
19
61
21
25
14
19
64
14
30
9
27
77
42
2
31
2
34
7
17
14
2
45
5
31
1
13
2
18
5
79
13
42
4
10
2
9
4
23
9
24
8
15
4
62
6
12
1
13
2
8
1
23
6
32
5
28
3
9
17
53
13
18
47
6
52
5
26
6
6
27
5
19
1
40
3
13
4
13
3
37
10
7
1
24
7
9
1
46
9
10
4
4
4
87
12
32
4
8
7
1
24
6
23
1
366
67
8
2
11
3
142
23
112
33
18
4
34
8
23
7
31
3
113
15
31
11
19
4
19
50
11
16
5
19
6
9
5
19
52
12
13
1
23
7
9
22
5
266
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aty
Total
police
employees
Total
officeni
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
NEW JERSEY— Continued
Waterford Township
Wayne Township
Weehawken Township
Wenonah
Westampion Township
West Amwell Township
West Caldwell
West Cape May
West Deptford Township
Westfield
West Long Branch
West Milford Township
West New York
West Orange
West Patterson
Westville
West Wildwood
West Windsor Township
West wood
W'harton
Wildwood
Wildwood Crest
Wilhngboro Township
Winfield Township
Winslow Township
W'oodbndge Township
Woodbury
Woodbury Heights
Woodcliff Uke
Woodlynne
Wood Ridge
Woodstown
Woolwich
WyckofT
NEW MEXICO
Acoma
Alamogordo
Albuquerque
Artesia
Aztec
Bayard
Belen
Bosque Farms
Carlsbad
Clayton
Clevis
Corrales
Cuba
Deming
Farmington
Gallup
Grants
Hobbs
Hurley
Jal
Jemez Springs
Las Cruces
Las Vegas
Los Alamos
Los Lunas
Lovington
Mesilla
Milan
Masquero
Portales
Questa
Raton
Red River
Rio Rancho
Roswell
Ruidoso
Ruidoso Downs
NEW MEXICO— Continued
I
119
48
5
19
3
30
7
31
66
21
46
105
96
21
16
2
36
27
12
42
26
79
6
69
203
29
6
17
5
18
7
5
25
10
77
1.077
31
21
7
22
50
15
74
12
7
27
106
97
32
101
4
8
6
125
52
44
19
25
5
II
2
22
4
22
7
67
96
26
9
16
106
45
5
16
3
29
6
26
57
17
39
105
89
19
9
2
29
25
II
34
21
65
6
55
171
24
5
16
5
18
6
5
23
6
62
710
18
13
6
16
7
34
5
57
7
3
21
81
49
21
67
4
4
3
94
34
29
14
17
5
6
1
19
3
16
3
37
72
25
9
4
15
367
13
8
1
6
1
16
10
17
5
4
6
25
48
11
34
4
3
31
18
15
5
Santa Rosa
Silver City
Springer
Taos
Taos Pueblo Tribal
Tatum
Truth or Consequences .
Tularosa
Vaughn
NEW YORK
Addison Town and Village
Albion Village
Alexandria Bay Village
Altamont Village
Amherst Town
Amity Town and Belmont Village .
Amity ville Village
Amsterdam
Andover Village
Angola Village
Arcade Village
Ardsley Village
Asharoken Village
Athens Village
Auburn
Avon Village ,
Bainbridge Village ,
Baldwinsville Village
Batavia
Bath Village
Beacon
Bethlehem Town
Binghamton
Blasdell Village
Blooming Grove Town
Bolivar Village
Brant Town
BriarclitT Manor Village
Brighton Town
Bronxville Village
Buchanan Village
Buffalo
Caledonia Village
Camillus Town and Village
Canandaigua
Canastota Village
Canisteo Village
Canton Village
Carmel Town ,
Carroll Town
Carthage Village
Calskill Village
Cattaraugus Village
Cayuga Heights Village
Chatham Village
Cheektowaga
Chester Village
Chittenango
Clarkstown Town
Clifton Springs Village
Clinton Village
Clyde Village
Coeymans Town
Cohoes
Cold Spring Village
Cooperstown Village
Corning
Cornwall-on-the-Hudson Village
Cornwall Town
Cortland
Cove Neck Village
Crawford Town
3
11
3
1
168
1
27
39
1
4
6
15
3
2
63
3
1
15
34
14
33
41
144
4
10
1
1
17
49
26
5
1,093
3
17
30
6
2
13
38
I
7
14
1
7
4
140
1
6
140
1
2
3
5
36
3
6
25
5
13
43
3
6
6
23
3
19
8
3
10
5
2
3
10
3
1
140
1
25
37
1
4
6
15
3
2
55
3
1
12
31
10
31
31
135
4
10
1
1
17
40
23
5
970
3
16
26
6
2
II
36
1
6
14
1
6
4
128
1
6
124
1
1
3
2
32
3
6
25
5
10
39
3
5
267
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
NEW YORK— Continued
Dansville Village
Depew Village
Deposit Village
Dobbs Ferry Village
Dryden Village
Dunkirk
East Aurora-Aurora Town
East Greenbush Town
East Hampton Village
East Hampton Town
East Rochester Village
East Syracuse Village
Ellenville Village
EllicotI Town
Elmira Heights Village
Elmsford Village
Endicott Village
Erwin Town
Evans Town
Fairport Village
Floral Park Village
Florida Village
Fort Edward Village
Fort Plain Village
Franklinville Village
Fredonia Village
Freeport Village
Fulton
Gates Town
Geddes Town
Geneseo Village
Geneva
Glen Cove
Glens Falls
Glenville
Gloversville
Gouvemeur Village
Cowanda Village
Great Neck Estates Village
Greece Town
Greene Village
Greenport Village
Greenport Town
Greenwich Village
Groton Village
Hamburg Village
Hammondsport
Hancock Village
Hanover Town
Harriman Village
Harrison
Hastings-on-Hudson Village
Haverstraw Village
Haverstraw Town
Hempstead Village
Herkimer Village
Holley Village
Homer Village
Hoosick Falls Village
Homell
Horseheads Village
Hudson
Hudson Falls Village
Hunter Town
Irondequoit Village
Irvington Village
Johnstown
Kenmore Village
Kensington Village
Kent Town
Kirkland Town
Lackawanna
Lake George Village
Lake Placid Village
Lake Success Village
10
39
3
23
4
31
19
19
20
61
8
12
13
11
10
14
50
2
23
8
49
1
5
i
2
16
90
39
32
12
6
33
51
36
27
38
12
5
15
92
2
7
1
3
2
22
3
1
5
3
67
20
1
28
119
20
4
3
3
22
14
23
16
5
63
20
23
32
6
17
4
59
4
15
25
7
31
3
23
3
31
15
14
15
48
7
7
II
10
10
14
38
2
19
7
36
I
5
3
2
16
83
33
26
12
6
31
48
30
I
36
8
5
14
81
1
7
1
3
2
16
2
1
5
3
63
20
1
27
90
20
4
3
3
21
10
22
II
5
52
20
23
30
6
13
3
52
4
13
22
NEW YORK— Continued
Lakewood-Busti
Lancaster Town
Lancaster Village
Laurel Hollow Village
Le Roy Village
Lewiston Village
Liberty Village
Lloyd Harbor Village
Lloyd Town
Lockport
Long Beach
Lowville Village
Lynbrook Village
Lyons Village
Macedon Town and Village
Malverne Village
Mamaroneck Village
Manlius Town
Marcellus Village
Marion Town
Marlborough Town
Massena Village
Mechanicville
Medina Village
Middleport Village
Mill Neck Village
Mohawk Village
Monroe Village
Montgomery Town
Monticello Village
Moravia Village
Mount Kisco Village
Mount Morris Village
Mount Pleasant Town
Naples Town and Village
Newark Village
New Castle Town
New Rochelle
New Windsor Town
New York
New York Mills Village
Niagara Town
Niagara Falls
Niskayuna Town
Nissequogue Village
Norfolk Town
North Castle Town
Northport Village
North Syracuse Village
North Tonawanda
Norwich
Ocean Beach Village
Ogden Town
Ogdensburg
Old Brookville Village
Old Westbury Village
Olean
Oneida
Orangetown Town
Orchard Park Town
Oriskany Village
Ossining Village
Oswego Village
Owego
Oyster Bay Cove Village
Painted Post Village
Palmyra Village
Pawling Village
Peekskill
Pelham Village
Perry Village
Piermont Village
Platlsburgh ,
Port Chester Village
Port Dickinson Village
25
22
9
10
2
17
13
6
54
88
6
48
9
2
22
52
33
1
1
4
24
12
10
1
3
5
16
4
24
1
27
4
49
1
21
39
214
35
34,764
3
4
153
33
4
I
28
20
17
53
20
2
9
32
38
29
35
22
84
30
I
51
54
17
8
4
5
3
64
25
5
6
48
57
3
21
16
7
7
2
14
12
6
52
75
6
46
7
2
22
46
30
1
1
4
23
11
10
1
3
5
12
3
22
I
25
3
41
1
19
37
186
28
27,523
3
4
138
26
4
1
26
16
12
50
18
2
8
27
33
25
34
19
77
29
1
45
48
13
8
4
5
3
47
25
5
6
44
53
3
268
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aiy
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
einployees
Total
ofTicei^
Total
civilians
NEW YORK— Continued
Port Henry Village
Pon Jer\is
Potsdam Village
Poughkeepsie
Poughkeepsie Town
Pound Ridge Town
Pulaski Village
Quogue Village
Randolph Town
Red Hook Village
Rensselaer
Riverhead Town
Rochester
Rockville Centre Village
Rome
Rotterdam Town
Rouses Point Village
Rye
Rye Brook Village
Sag Harbor Village
Samt Johnsville Village
Salamanca
Salem Village
Sallaire Village
Sands Point Village
Saratoga Springs
Saugerties Town
Schodack Town
Schoharie Village
Scotia Village
Seneca Falls Village
Shandaken Town
Shelter Island Town
Sherrill
Sidney Village
Silver Creek Village
Skaneateles Village
Sloatsburg Village
Sodus Point Village
Sodus Village
Solvay Village
Southampton Town
Southampton Village
South Glens Falls Village
South Nyack Village
Spring Valley Village
SufTem Village
Syracuse
Tonawanda Town
Tuckahoe Village
Tupper Lake Village
Tuxedo Town
Ulster Town
Warsaw Village
Warwick Village
Warwick Town
Washingtonville Village
Waterloo Village
Watkins Glen Village
Waverly Village
Webb Town
Webster Town and Village
Wellsville Village
Westfield Village
West Seneca Town
Whitehall Village
While Plains
Whitesboro Village
Windham Town
Woodbury Town
Woodhull Village
Woodstock Town
Yonkers
Yorktown Town
Yorkville Village
1
18
20
88
79
I
2
8
I
2
31
70
725
62
72
47
1
40
22
12
3
13
1
3
19
61
19
6
1
13
14
2
8
4
8
8
5
7
I
1
16
106
27
6
6
45
27
562
130
26
11
12
13
6
12
9
7
8
9
13
4
40
14
5
69
3
251
4
3
13
I
10
591
58
3
I
18
16
77
67
I
2
8
1
2
26
56
601
53
63
36
1
36
22
11
3
13
I
3
19
57
12
5
1
13
II
2
5
5
7
1
1
12
79
19
6
6
39
24
431
99
22
10
9
13
6
11
8
6
7
5
13
4
29
II
5
65
3
200
4
3
10
1
10
495
50
3
5
14
124
9
9
11
6
3
131
31
4
1
3
96
NORTH CAROLINA
Aberdeen
Ahoskie
Albemarle
Andrews
Angier
Apex
Archdale
Arlington
Asheboro
Asheville
Atlantic Beach
Aulander
Ayden
Bailey
Banner Elk
Battleboro
Beach Mountain
Beaufort
Belhaven
Belmont
Benson
Bessemer City
Bethel
Beulaville
Biscoe
Black Creek
Black Mountain
Bladenboro
Blowing Rock
Boiling Springs
Boiling Springs Lakes
Boone
Brevard
Broadway
Brookford
Bryson City
Bunn
Burgaw
Burlington
Burner
Candor
Canton
Cape Carteret
Carolina Beach
Carrboro
Cary
Catawba
Chadboum
Chapel Hill
Charlotte
Cherryville
China Grove
Claremont
Clayton
Clinton
Clyde
Coats
Concord
Conover
Conway
Cooleemee
Cramerton
Creedmoor
Dallas
Davidson
Dobson
Drexel
Dunn
Durham
Eden
Edenton
Elizabeth City
Elizabethtown
Elkin
Ellerbe
17
16
43
5
9
17
10
I
47
163
28
3
13
4
4
4
13
14
9
20
14
14
6
3
5
2
12
5
10
3
3
36
21
3
1
5
2
6
111
44
3
19
4
22
26
44
2
8
85
856
15
4
4
19
30
3
5
61
14
2
2
6
12
9
9
4
5
32
356
41
16
36
II
17
3
15
16
39
5
5
II
10
1
44
125
23
3
9
4
4
4
9
14
8
12
10
10
5
3
5
2
8
5
6
3
3
34
18
3
1
5
2
6
86
38
3
16
4
16
24
41
1
6
66
664
13
4
4
14
23
3
5
52
14
2
2
6
9
9
6
4
5
25
272
39
14
29
10
16
3
269
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
NORTH CAROLINA— Continued
Elm City
Elon College
Emerald Isle
Enfield
Erwin
Eureka
Fair Bluff
Fairmont
Farmville
Fayetteville
Forest City
Franklin
Franklinton
Fuquay-Varina
Gamer
Gastonia
Gibson
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
Indian Beach
Jacksonville
Jefferson
Jonesville
Kannapolis
Kenansville
Kenly
Kernersville
Kill Devil Hills...
King
Kings Mountain ..
Kinston
Kitty Hawk
La Grange
Lake Lure
Lake Waccamaw .
Landis
Laurel Park
Laurinburg
Lenoir
Lewiston
Lexington
Liberty
Lillington
Lincolnton
Locust
Long Beach
Longview
Louisburg
Lowell
Lucama
Lumbcrton
Madison
Maiden
Manteo
Marion
Mars Hill
15
15
12
1
4
12
19
258
25
9
10
13
26
158
1
11
93
18
10
479
111
5
19
27
6
48
41
4
96
7
189
12
5
2
18
10
3
105
2
5
74
3
5
26
21
10
26
79
7
7
2
2
4
2
30
53
2
65
6
5
22
2
16
10
10
7
4
50
15
10
5
15
5
11
10
8
1
4
8
15
196
21
9
6
8
23
119
1
8
73
16
10
370
90
5
15
22
6
44
32
4
75
7
159
II
5
2
12
9
3
84
2
5
66
3
5
20
16
9
18
63
7
7
2
2
4
I
26
46
1
55
6
5
20
2
II
9
10
5
4
42
10
9
5
13
5
4
4
62
4
4
5
3
39
3
20
2
109
21
4
5
16
NORTH CAROLINA— Continued
Marsh ville
Matthews
Mayodan
Mc Aden ville
Mebane
Middlesex
Mocksville
Monroe
Montreal
Mooresville
Morehead City
Morganton
Mornsville
Mount Airy
Mount Gilead
Mount Holly
Mount Olive
Murfreesboro
Murphy
Nags Head
Nashville
New Bern
Newland
Newport
Newton
North Wilkesboro
Norwood ,
Oakboro
Old Fort
Oxford
Pembroke
Pine Level
Pilot Mountain
Pinehurst
Pine Knoll Shores
Pinetops
Pineville
Pink Hill
Pittsboro
Plymouth
Princeton
Raeford
Raleigh
Ramseur
Randleman
Ranlo
Red Spnngs
Reldsville
Richlands
River Bend
Roanoke Rapids
Robbins
Roberson ville
Rockingham
Rocky Mount
Rolesville
Rose Hill
Rowland
Roxboro
Rutherfordton
Saint Pauls
Salisbury
Saluda
Sanford
Scotland Neck
Selma
Shelby
Siler City
Smithfield
Southern Pines
Southern Shores
Southport
Sparta
Spindale
Spring Hope
4
17
12
4
13
3
10
62
5
26
22
60
3
38
5
17
14
13
8
17
7
50
3
3
30
23
4
2
3
28
II
2
8
16
7
8
10
1
6
13
2
14
435
6
6
5
13
37
3
4
36
7
7
25
135
4
4
4
27
20
10
70
2
56
15
20
49
15
27
29
4
9
5
9
5
4
15
9
4
10
3
9
57
5
22
17
55
3
35
5
15
9
9
8
14
6
42
3
3
22
20
4
2
3
23
6
2
7
13
7
5
10
1
6
8
2
II
390
6
6
5
10
35
3
4
27
5
7
20
106
4
4
4
22
10
8
53
2
48
8
15
35
II
23
23
4
6
5
9
5
270
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cly
Tolal
police
employees
Tolal
officers
Tolal
civilians
Cly
Tolal
police
employees
Total
officers
Total
civilians
NORTH CAROLINA— Continued
Spring Lalte
Spruce Pine
Slantonsburg
Star
Slates ville
Stoneville
Sugar Mountain
Sunset Beach
Surf City
Swansboro
Sylva
Tabor City
Tarboro
Taylorsville
Thomasville
Topsail Beach
Trent Woods
Troutman
Troy
Try on
Valdese
Vass
Wadesboro
Wake Forest
Wallace ,
W'alnut Cove
Warrenlon
W'arsaw
Washington
Waxhaw
Waynesville
Weldon
Wendell
West Jeffer«)n
Whispering Pines
White Lake
Whiieville
Wilkesboro
Williamston
Wilmington
Windsor
Wmston-Salem
Winterville
Woodfin
Woodland
Wnghtsville Beach
YadkmviUe
Zebulon
NORTH DAKOTA
Bismarck
Bowman
Camngton
Devils Lake
Dickinson
Fargo
Grafton
Grand Forks
Harvey
Hazen
Jamestown
Langdon
Lisbon
Mandan
Mayville
Minot
Rugby
Valley City
Wahpeton
Watford City
West Fargo
9
31
6
49
3
2
3
7
8
11
3
19
15
14
4
6
12
26
4
26
10
II
4
6
4
23
13
13
155
6
447
4
7
I
26
5
II
87
3
4
13
38
104
11
78
3
5
31
3
2
29
2
66
5
14
18
4
18
12
10
3
4
57
4
7
5
4
4
7
5
22
6
40
3
2
3
7
6
II
3
14
11
13
4
5
9
24
4
19
7
7
4
6
4
17
12
13
116
6
345
4
7
1
21
5
10
10
102
25
OHIO
Ada
Akron
Alliance
Amberley
Amherst
Ansonia
Archbold
Arlington Heights
Ashland
Ashtabula
Athens
Aurora
Avon Lake
Bambridge Township
Barberton
Bath Township
Bay Village
Bazetta Township
Beavercreek Township
Bedford
Bedford Heights
Bellaire
Bellbrook
Belpre
Berea
Bethel
Beverly
Bexley
Blanchester
Blue Ash
Boardman
Bowling Green
Bradford
Brady Lake
Brecksville
Brewster
Briarwood Beach
Bridgeport
Broadview Heights
Brookfield Township
Brooklyn
Brooklyn Heights
Brook Park
Brookville
Brunswick
Bryan
Bucyrus
Cadiz
Cambridge
Canal Fulton
Canfield
Canton
Carey
Carlisle
Celina
Centerville
Chagrin Falls....
Chardon
Chillicothe
Cincinnati
Circleville
Clear Creek Township
Cleveland
Cleveland Heights
Cleves
Clyde
Coldwaler ^
Columbiana
Columbus
Conneaut
Copley
Cortland
Covington
Crestline
Cuyahoga Falls
9
502
38
1
19
2
6
6
35
36
26
21
21
15
44
17
24
7
38
32
36
14
5
15
35
3
5
32
10
38
43
42
2
1
25
3
2
8
19
7
33
11
46
13
33
19
25
4
33
3
15
181
10
5
18
28
18
13
54
1,105
22
10
1.891
115
1
15
5
12
1.603
23
17
5
4
15
80
6
453
35
16
14
2
6
5
26
30
21
16
21
13
43
13
22
6
32
26
28
14
5
10
27
3
3
24
5
30
36
32
2
1
21
3
2
5
17
4
27
II
39
9
25
15
20
4
27
3
10
168
7
5
13
22
11
8
50
886
15
7
1,717
96
1
II
5
8
1.281
18
11
5
4
8
64
271
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Tolal
officers
Tolal
civilians
City
Total
police
employees
Total
officers
OHIO — Continued
Dalton
Dayton
Defiance
Delaware
Delhi Township
Delia
Dennison
Deshler
Dublin
East Cleveland
Eastlake
East Palestine
Eaton
Elmwood Place
Elyria
Englewood
Euclid
Evcndale
Fairbom
Fairfax
Fairfield
Fairfield Township
Fairlawn
Fairport Harbor
Fairview Park
Fayette
Forest Park
Fort Shawnee
Franklin
Fremont
Fulton
Gahanna
Galion
Gallipolis
Garfield Heights
Gates Mills
Geneva
Genoa
Germantown
German Township
Gibsonburg
Girard
Glendale
Golf Manor
Goshen Township
Granville
Greenfield
Greenhills
Greenville
Grove City
Hamilton
Hamler-Marion Township
Harrison
Hartville
Hicksville
Hilliard
Hillsboro
Hinckley Township
Holland
Howtand
Hubbard Township
Hudson
Hunting Valley
Huron
Independence
Indian Hill
Jackson Township
Johnstown..
Kent
Kettering
Kirtland Hills
Lakemore
Lakewood
Lancaster
Lawrence Township
OHIO— Continued
3
597
29
35
22
5
5
2
21
82
34
9
14
7
79
20
116
17
47
9
46
4
20
6
29
3
31
4
21
34
1
32
20
18
58
14
12
3
12
5
4
25
7
10
7
9
11
7
28
35
110
2
14
4
7
27
17
8
4
15
9
14
11
15
23
21
23
8
42
99
11
5
93
64
4
1
472
24
28
20
5
5
2
20
65
28
6
9
6
68
16
90
16
34
9
39
4
14
6
27
3
27
4
16
31
1
27
16
14
49
11
8
3
7
5
4
21
7
6
6
6
10
7
22
27
105
2
13
4
6
22
14
8
4
II
5
10
10
11
19
16
21
4
31
79
10
4
74
50
4
2
125
5
7
2
Lebanon
Leipsic
Liberty Township
Lima
Lisbon
Lockland
Logan
Lorain
Lordstown
Loudonville
Louisville
Loveland
Lyndhurst
Madeira
Madison Township (Montgomery County).
Madison Township (Lake County)
Mansfield
Maple Heights
Mariemont
Marietta
Marion
Marlboro Township
Marysville
Mason
Massillon
Maumee
Mayfield Village
Mayfield Heights
McConnelsville
Mentor
Mentor-on-the-Lake
Miamisburg
Miami Township
Middleburg Heights
Middlefield
Middletown
Milford
Minerva
Mingo Junction
Mogadore
Montgomery
Montpelier
Moraine
Mount Sterling
Munroe Falls
Napoleon
Navarre
New Boston
Newcomerstown
New Lebanon
New Lexington
New Philadelphia
Newtown
Niles
North Canton
North College Hill
North Kingsville
North Olmsted
North Ridgeville
North Royalton
North wood
Norton
Norwalk
Norwood
Oak Harbor
Oakwood
Oakwood Village
Oberlin
Olmsted Falls
Ontario
Oregon
Orrville
Ottawa
Ottawa Hills
Oxford
26
3
23
105
9
15
18
81
13
10
15
11
35
12
25
1
108
51
9
34
41
2
16
15
52
42
19
41
4
80
8
37
19
33
7
104
II
II
II
7
1
6
28
8
6
17
4
11
10
8
10
22
4
31
26
13
4
54
32
31
18
18
26
47
4
36
17
16
12
16
47
17
6
15
30
20
2
22
80
5
14
13
79
9
6
11
11
28
11
18
13
72
43
8
27
38
2
12
14
48
33
14
34
4
58
7
30
18
28
7
79
9
8
9
7
17
6
23
5
5
13
4
8
5
7
6
17
4
26
20
12
4
43
26
24
13
13
20
47
4
30
13
12
7
13
39
13
6
11
20
272
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Olv
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
OHIO— Continued
Parma
Parma Heights
Perkins Township
Perrysburg
Perry Township (Franklin County).,
Perry Township (Stark County)
Pierce Township
Piqua
Port Clinton
Portsmouth
Randolph Township
Reading
Reynoldsburg
Richfield
Richmond Heights
Richwood
Rittman
Riverside
Rossford
Saint Bernard
Saint Marys
Salem
Salineville
Sandusky
Sebnng
Seven Hills
Seville
Shaker Heights
Sharonville
ShefTield Lake
Shelby
Silverton
Smith Township
Solon
South Euclid
South Russell
Spencerville
Spnngboro
Spnngdale
Spnngfield
Springfield Township
Steubenville
Stow
Streetsboro
Strongsville
Sunbury
Sylvania
Sylvania Township
Tallmadge
Terrace Park
Tiffin
Tipp City
Toledo
Toronto
Trenton
Trotwood
Troy
Twinsburg
Uhrichsville
Union City
Uniontown
Union Township (Butler County)
Union Township (Clermont County)
Union Township (Licking County)...
University Heights
Upper Arlington
Upper Sandusky
Urbana
Valley View
Vandalia
Vermilion
Wadsworth
Waite Hill
Walton Hills
Wapakoneta
116
31
12
23
10
13
10
26
15
34
10
21
39
12
23
5
12
5
14
16
16
19
7
49
8
16
6
93
31
10
1
13
5
41
42
7
6
10
30
132
37
46
38
18
45
4
32
29
30
6
36
14
817
9
12
25
38
21
9
3
6
31
32
2
36
51
9
19
10
30
20
26
5
11
17
97
19
26
5
8
4
17
6
9
1
11
2
9
1
25
1
11
4
31
3
10
18
3
29
10
8
4
19
4
4
1
8
4
4
1
14
16
12
4
18
1
7
42
7
5
3
15
1
5
1
66
27
26
5
8
2
15
3
10
3
5
32
9
35
7
7
4
2
7
3
26
4
102
30
26
11
37
9
26
12
13
5
38
7
4
27
5
26
3
20
10
5
1
24
12
10
4
761
56
9
7
5
20
5
31
7
16
5
8
1
3
5
1
25
6
26
6
7
28
8
44
7
8
1
15
4
10
22
8
16
4
21
5
5
9
2
13
4
OHIO— Continued
Warren
Warrensville Heights
Warrensville Township
Washington Court House
Washington Township
Walerville
Wauseon
Waverly
Waynesville
Wellington
Wellsville
West Carrollton
Westerville
West Jefferson
Westlake
Weston
Whitehall
Wickliffe
Willard
Willoughby
Willoughby Hills
Wilmington
Windham
Woodlawn
Woodsfield
Woodville
Wooster
Worthington
Wyoming
Xenia
Yellow Springs
Youngstown
Zanesville
OKLAHOMA
Ada
Afton
Altus
Alva
Anadarko
Antlers
Apache
Ardmore
Arkoma
Atoka
Barnsdall
Bartlesville
Beggs
Bethany
Bixby
Blackwell
Blanchard
Bristow
Broken Arrow
Broken Bow
Burns Flat
Carnegie
Catoosa
Chandler
Checotah
Chelsea
Cherokee
Chickasha
Choctaw
Chouteau
Claremore
Clayton
Cleveland
Clinton
Coalgate
Coliinsville
Comanche
Commerce
91
45
3
21
14
8
9
15
2
5
6
26
50
11
37
2
47
33
14
47
19
19
5
14
5
5
40
36
17
47
11
222
67
74
40
3
15
14
11
2
3
6
20
40
8
34
2
39
29
11
36
14
17
4
13
5
4
35
29
13
37
7
194
50
30
2
37
7
18
7
4
38
2
12
3
47
3
21
14
14
5
13
55
10
2
6
9
6
7
4
3
30
15
5
26
4
6
17
5
6
4
4
273
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aty
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
OKLAHOMA— Continued
Coweta
Coyle
Crescent
Cushing
Davis
Del City
Dewey
Drumiight
Duncan
Durant
Edmond
Elk City
Elmore City
El Reno
Enid
Erick
Eufaula
Fairfax
Fairview
Forest Park
Fort Gibson
Frederick
Geary
Glenpool
Goodwill
Gore
Granite
Grove
Guthrie
Guymon
Harrah
Hartshome
Haskell
Healdton
Heavener
Hennessey
Henryetta
Hobart
Holdenville
Hollis
Hominy
Hugo
Hulbert
Idabel
Inola
Jay
Jenks
Jones
Kingfisher
Kingston
Konawa
Krebs
Laveme
Lawton
Lindsay
Locust Grove
Lone Grove
Luther
Madill
Mangum
Mannford
Marietta
Marlow
Maud
Maysville
McAlester
McLoud
Meeker
Miami
Midwest City
Minco
Moore
Morris
Muldrow
Muskogee
7
16
7
13
9
9
13
4
22
3
9
17
6
8
4
8
2
5
181
10
5
8
3
9
10
9
5
9
4
3
41
8
3
34
119
3
68
3
6
87
9
1
4
15
9
32
7
4
43
21
66
17
3
27
77
2
6
5
5
3
5
II
4
9
2
3
3
12
21
II
6
5
5
4
5
4
12
7
9
5
4
9
3
20
3
5
12
5
7
4
5
2
2
142
7
I
3
3
9
6
5
5
9
4
3
36
4
3
26
87
3
52
3
6
72
OKLAHOMA— Continued
Mustang
Newcastle
Newkirk
Nichols Hills
Nicoma Park
Noble
Norman
Nowata
Oilton
Okeene
Okemah
Oklahoma City
Okmulgee
Oologah
Owasso ,
PaoH
Pauls Valley
Pawhuska
Pawnee
Perkins
Perry
Piedmont
Pocola
Ponca City
Porum
Poteau
Prague
Pryor
Purcell
Quinton
Ringling
Roland
Rush Springs
Salina ,
Sallisaw
Sand Springs
Sapulpa ,
Sayre ,
Seminole
Shattuck
Shawnee
Shidler
Skiatook
Snyder
Spencer
Spiro
Stigler
Stillwater
Stilwell
Stratford
Stroud
Sulphur
Tahlequah
Talihma
Tecumseh
Tishommgo
Tonkawa
Tulsa
Tuttle
Valliant
Vian
Village
Vinita
Wagoner
Walters
Warner
Warr Acres
Watonga
Watts
Waukomis
Waurika
Waynoka
Weatherford
Weleelka
Westville
21
10
5
22
5
13
125
7
2
6
11
985
35
3
22
1
19
16
5
4
16
5
9
67
2
19
8
24
23
4
4
6
4
3
14
38
42
7
1
5
58
1
13
2
U
5
9
67
14
4
12
13
31
7
13
13
II
839
8
7
5
27
19
16
4
2
25
12
1
2
5
6
21
4
14
6
5
17
5
9
96
6
2
2
7
767
29
2
16
1
13
10
5
4
II
3
5
55
2
15
6
23
16
4
3
3
4
2
11
28
34
4
13
2
42
I
9
2
7
5
5
49
10
4
25
4
9
8
7
678
5
5
5
20
12
12
4
2
18
9
1
2
2
2
14
4
5
274
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Tolal
officers
Tolal
civilians
Cily
Total
police
employees
Total
officers
Total
civilians
OKLAHOMA— Continued
Wetumka
Wewoka
Wilburton
Wilson
Wister
Woodward
Wnght City
Wynnewood
Yale
Yukon
OREGON
Albany
Amity
Arlington
Ashland
Astona
Athena
Aumsville
Aurora
Baker
Bandon
Beaverton
Bend
Boardman
Brookings
Bums
Butte Falls
Canby
Cannon Beach
Canyonvillc
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
Independence
Irngon
Jefferson
John Day
Junction City
Keizer
King City
Klamath Falls
La Grande
Lake Oswego
44
3
I
m
22
2
4
1
14
7
62
40
4
12
9
1
17
5
3
1
17
6
3
32
II
10
67
20
I
15
2
6
5
4
224
12
22
2
1
2
I
19
5
1
35
94
3
21
44
2
10
9
2
2
8
10
16
2
36
24
59
33
3
1
21
15
2
3
1
II
6
50
32
4
7
5
1
12
4
2
1
12
5
2
23
7
9
40
14
1
13
2
5
4
4
141
7
17
2
I
2
1
12
5
I
27
71
3
15
38
2
23
OREGON— Continued
Lakeview
Lebanon
Lincoln Cily
Madras
Malin
McMinnville
Mcdford
Merrill
Milton-Freewaler
Milwaukie
Molalla
Monmouth
Monroe
Mount Angel
Myrtle Creek
Myrtle Point
Newport
North Bend
North Plains
Nyssa
Oakland
Oakridge
Ontario
Oregon City
Pendleton
Philomath
Phoenix
Pilot Rock
Portland
Powers
Prairie City
Pnneville
Rainier
Redmond
Reedsport
Rockaway
Rogue River
Roseburg
Saint Helens
Salem
Sandy
Scappoose
Seaside
Shady Cove
Sheridan
Sherwood
Silverton
Sisters
Springfield
Stanfield
Stay ton
Sutherlin
Sweet Home
Talent
The Dalles
Tigard
Tillamook
Toledo
Troutdale
Tualatin
Turner
Umatilla
Umatilla Tribal
Union
Vale
Vernonia
Waldport
Warrenton
West Linn
Willamina
Winston
Woodburn
Yamhill
5
22
22
6
I
25
95
2
12
33
8
10
I
4
13
10
20
19
1
10
2
10
24
30
31
7
5
2
975
3
2
16
6
19
17
3
4
41
20
204
9
7
20
2
3
5
10
5
80
3
17
11
16
4
18
41
9
11
10
14
2
7
13
2
4
4
3
8
21
2
12
34
1
5
16
6
17
5
1
20
5
67
28
5
23
10
I
5
4
17
3
15
4
4
5
16
8
24
6
22
9
1
I
769
206
10
6
1
15
4
12
5
31
10
15
5
133
71
I
2
15
5
1
1
52
28
8
4
11
5
16
2
31
10
8
1
6
5
9
1
13
1
2
6
1
8
5
7
4
4
1
4
4
18
3
2
7
5
21
1
13
275
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANIA
Abington Township
Adams Township
Akron
Albion
Alburtis
Aleppo Township
Aldan
Aliquippa
Allegheny Township (Blair County)
Allegheny Township (Westmoreland County)
Allentown
Altoona
Ambler
Ambridgc
Amity Township
Annville Township
Apollo
Archbald
Armagh Township
Arnold
Ashland
Ashley
Aspinwall
Aston Township
Athens
Athens Township
Auburn
Avalon
Avis
Avoca
Baden
Baldwin Borough
Baldwin Township
Bally
Bangor
Bamesboro
Barrett Township
Bath
Beaver
Beaver Falls
Bedford
Bedminster Township
Belle Acres
Bellefonte
Belle Vernon
Bellevue
Bellwood
Ben Avon
Bensalem Township
Bentleyville
Benton
Benzinger Township
Berlin
Bern Township
Berwick
Bessemer
Bethel Park
Bethel Township
Bethlehem
Bethlehem Township
Big Beaver ,
Birdsboro
Birmingham Township
Blair Township ,
Blairsville
Blakely
Blawnox
Bloomsburg
Blossburg ,
Boyertown
Brackenridge
Braddock
Braddock Hills
Bradford
Bradford Township
100
2
6
16
5
5
1
9
1
3
4
28
5
1
5
2
3
3
8
17
7
4
1
12
1
16
1
4
88
2
1
8
1
6
16
1
40
I
149
16
3
5
2
2
5
6
4
15
3
7
5
6
4
21
3
85
3
2
2
2
2
3
17
4
4
163
73
13
13
5
3
2
5
1
II
7
2
5
14
5
5
1
8
1
3
4
22
5
1
5
2
3
3
8
17
6
4
1
9
1
13
1
4
75
2
1
7
1
6
11
1
32
1
124
16
3
5
2
2
5
6
4
12
3
6
5
3
4
21
3
25
PENNSYLVANIA— Continued
Brentwood
Briar Creek Township
Bridgeport
Bridgeville
Bridgcwater
Brighton Township
Bristol
Bristol Township
Brockway
Brookhaven
Brookville
Brownsville
Bryn Athyn
Buckingham Township
Burgettstown
Burnham
Bushkill Township
Butler
Butler Township (Ashland County)
Butler Township (Butler County)
Butler Township (Luzerne County)
Caernarvon Township (Berks County)
Caernarvon Township (Lancaster County)
California
Cain Township
Cambria Township
Cambridge Springs
Camp Hill
Canonsburg
Canton
Carbondale
Carlisle
Carnegie
Carroll Township (Washington County)....
Carroll Township (York County)
Carrolltown
Castle Shannon
Catasauqua
Catawissa
Catawissa Township
Cecil Township
Center Township
Centerville
Central City
Centralia
Chalfont
Chambersburg
Charleroi
Chartiers Township
Cheltenham Township
Chester
Chester Hill
Chester Township
Cheswick
Chippewa Township
Churchill
Clarion
Clark
Clarks Summit
Clearfield
Cleona
Clifton Heights
Clinton Township
Coaldale
Coalport
Coal Township
Coatesville
Cochranton
Colebrookdale Township
Collegeville
Collier Township
Collingdale
Columbia
Colwyn
Conemaugh Township
17
2
17
10
2
4
14
79
2
6
7
12
5
10
1
6
3
25
4
21
2
3
I
8
II
1
2
7
15
2
14
30
17
4
5
I
II
9
3
3
9
9
4
1
1
3
27
10
4
89
102
1
7
3
6
10
8
1
6
7
2
11
I
2
I
16
20
1
5
4
9
9
16
4
4
13
2
16
9
2
4
13
62
2
6
6
7
5
9
1
2
3
24
4
17
2
3
I
7
ID
1
2
7
13
2
14
28
12
4
5
I
11
8
3
3
9
9
4
1
1
2
24
9
4
80
86
1
7
3
5
10
7
1
6
7
2
10
1
2
1
12
15
I
5
4
9
8
II
3
4
276
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aiy
Tolal
police
employees
Total
officers
Tolal
civilians
City
Total
police
employees
Total
officers
Total
civilians
PENNSYLVANIA— Continued
Conewago Township
Conewango Township
Connellsville
Conoy Township
Conshohocken
Conway
Conyngham
Conyngham Township
Coolbaugh Township
Coopei^burg
Coplay
Coraopolis
Cornwall
Corry
Coudersport
Crafton
Cranberry Township
Crescent Township
Cresson
Creisona
Cresson Township
Croyle Township
Cumberland Township (Adams County) ...
Cumberland Township (Green County)
Cumru Township
Curwensville
Dallas
Dallas Township
Dalton
Danville
Darby
Darby Township
Daugherty Township
Denver
Derry
Derry Township (Dauphin County)
Derry Township (Mifflin County)
Dickson City
Dillsburg
Donegal Township
Donora
Dormont
Douglass Township (Berks County)
Douglass Township (Montgomery County)
Downingtown
Doylestown
Doylestown Township
Du Bois
Duboistown
Dunbar
Duncannon
Duncansville
Dunmore
Duponi
Duquesne
Duryea
East Berlin
East Bethlehem Township
East Brandywine Township
East Buffalo Township
East Cocalico Township
East Conemaugh
East Deer Township
East Earl Township
East Franklm Township
East Hempfield Township
East Lampeter Township
East Lansdowne
East Norriton Township
Easton
East Pennsboro Township
East Pikeland Township
East Rockhill Township
East Stroudsburg
East Taylor Township
10
PENNSYLVANIA— Continued
Easttown Township
East Washington
East Whiteland Township
Ebensburg
Economy
Eddystone
Edgewood
Edgeworlh
Edinboro
Edwardsville
Elizabeth
Elizabethtown
Elizabeth Township
Elkland
Ellwood City
Emmaus
Emporium
Emsworth
Ephrata
Ephrata Township
Erie
Etna
Everett
Exeter
Exeter Township (Berks County)
Exeter Township (Luzerne County)
Fairchance
Fairview
Fairview Township
Fallowfield Township
Falls Creek
Falls Township
Farrell
Fawn Township
Fell Township
Ferguson Township
Femdale
Findlay Township
Fleetwood
Folcroft
Ford City
Forest City
Forest Hills
Forks Township
Forty Fort
Forward Township
Foster Township
Fountain Hill
Fox Chapel
Frackville
Franconia Township
Franklin Borough
Franklin
Franklin Township
Freedom-Greenfield Township
Freeland
Freemansburg
Freeport
Galeton
Gallitzin
Gallitzin Township
Geistown
German Township
Gettysburg
Girard
Glassport
Glenolden
Granville Township
Greencastle
Greensburg
Green Tree
Greenville
Grove City
Hallstead
Hamburg
14
2
13
5
6
4
9
4
8
7
1
13
13
2
19
16
3
5
1
4
221
10
1
4
15
2
4
1
13
3
1
54
16
5
2
10
3
II
6
10
4
2
13
13
2
11
5
6
3
7
4
7
7
1
11
12
2
15
11
3
3
16
4
193
7
1
2
14
2
1
1
12
3
1
42
13
3
2
9
3
7
6
9
4
2
9
8
7
4
4
6
11
6
6
I
17
3
2
4
2
2
1
2
1
3
1
13
4
7
7
5
3
29
10
11
9
2
7
277
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
Cily
Total
police
employees
Total
officers
PENNSYLVANIA— Continued
Hampden Township
Hampton Township
Hanover
Hanover Township
Harmar Township
Harmony Township
Harrisburg
Harrison Township
Harveys Lake
Hastings
Hatboro
Hatfield Township
Haverford Township
Hazleton
Hegins Township
Heidelberg
Heidelberg Township (Berks County)
Heidelburg Township (Lebanon County)..
Hellam Township
Hellertown
Hempfield Township
Hermitage
Highspire
Hilltown Township
Hollidaysburg.
Homer City
Homestead
Honesdale
Hooversville
Hopewell Township
Horsham Township
Houtzdale
Hughesville
Hummelstown
Huntingdon
Independence Township
Indiana
Indiana Township
Industry
Ingram
Irwin
Jackson Township
Jamestown
Jeannette .
Jefferson
Jefferson Township (Berks County)
Jefferson Township (Mercer County)
Jenkins Township
Jenkinlown
Jenner Township ;
Jermyn
Jersey Shore
Jessup
Jim Thorpe
Johnsonburg
Johnstown
Kane
Kennedy Township
Kennett Square
Kidder Township
Kilbuck Township
Kingston
Kingston Township
Kitlanning
Kline Township
Kulpmont
Kulztown
Lake City
Lake Township
Lancaster
Lansdale
Lansdowne
Lansford
Larksville
Latrobe
19
16
18
12
4
4
197
17
2
1
16
28
75
25
2
2
1
1
4
10
5
29
5
14
10
2
9
6
I
9
39
2
4
6
12
1
28
7
1
6
5
7
1
17
12
2
2
3
13
2
2
6
3
6
4
52
6
10
10
6
3
22
7
8
2
4
8
3
2
124
26
20
4
4
13
19
15
16
12
4
4
158
13
2
1
12
20
62
23
2
2
I
I
4
9
4
24
5
12
6
2
8
6
I
9
34
2
4
6
11
1
20
7
1
6
5
7
1
16
II
2
2
3
12
2
2
6
3
5
4
44
6
10
9
6
3
21
7
8
2
4
7
3
1
113
20
16
4
4
11
PENNSYLVANIA— Continued
Laureldale
Lawrence Park Township
Lawrence Township
Lebanon
Leechburg
Leetsdale
Leet Township
Lehighton
Lehigh Township
Lehman Township
Lemoyne
Lewisburg
Lewistown
Ligonier
Ligonier Township
Lilly
Limerick Township
Linesville
Lltitz
Liltlestown
Lock Haven
Logan Township
Loretto
Lower Allen Township
Lower Alsace Township
Lower Burrell
Lower Chichester Township
Lower Gwynedd Township
Lower Makefield Township
Lower Merion Township
Lower Moreland Township
Lower Mount Bethel Township
Lower Paxton Township
Lower Pottsgrove Township
Lower Providence Township
Lower Salford Township ;.
Lower Saucon Township
Lower Southampton
Lower Swatara Township
Lower Yoder Township
Luzerne
Luzerne Township
Lykens
Mahanoy City
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
Menallen Township
Mercer
Mercersburg
3
6
8
45
3
4
4
9
6
2
6
8
21
2
2
1
6
2
10
5
13
18
1
19
6
13
4
18
26
162
28
1
47
8
27
11
13
29
10
2
3
1
2
6
3
5
7
5
48
13
3
6
3
5
38
2
1
3
10
2
1
2
28
2
3
52
13
3
26
14
1
20
1
3
2
3 .
5
8 .
39
3 .
4 .
4 .
7
6
2
6
7
15
2
2
1
5
2
8
5
12
13
1
18
6
13
4
15
23
132
21
1
41
7
24
10
9
26
9
2
3
1
2
5
3
5
6
5
36
12
3
5
2
4
30
2
1
3
10
2
1
2
23
2
3
50
10
3
23
13
278
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
ptilicc
employees
Total
olTtcers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
PENNSYLVANIA— Continued
Mcyersdale
Middlcburg
Middlesex Township (Butler County)
Middlesex Township (Cumberland County) .
Middlctown
Middletown Township
Midland
MtlTlin
MifDinburg
MifDintown
Milford
Millboume
Millcreek Township
Millersburg
Millersville
Millvale
Millville
Milton
Mmersville
Mohnton
Monaca
Monessen
Monongahela
Monroeville
Montgomery
Montgomery Township
Montoursville
Montour Township
Montrose
Moon Township
Moore Township
Moosic
Morrisville
Morton
Moscow
Mountaintop Regional
Mount Carmel
Mount Carmel Township .
Mount Holly Springs
Mount Jewett *
Mount Joy
Mount Joy Township
Mount Lebanon
Mount Oliver
Mount Penn
Mount Pleasant
Mount Pocono
Mount Union ,
Muhlenberg Township
Muncy
Munhall ^
Murrysville
Myerstown
Naniicoke
Nanty Glo
Narberth
Nazareth
Nescopeck
Neshannock Township
Nesquehoning
Nether Providence Township
Neville Township
Newberry Township ,
New Brighton ,
New Britain ,
New Britain Township
New Castle
New Castle Township
New Cumberland
New Eagle
New Freedom
New Hanover Township ,
New Holland
New Hope
New Kensington
4
2
S
5
4
14
1
4b
10
4
1
3
1
1
2
1
48
11
5
5
2
3
<)
1
6
1
3
4
2
12
10
1
41
1
9
20
5
S
1
7
22
6
3
3
8
2
5
7
in
9
3
4
3
1
7
1
5
1
44
12
7
5
4
4
7
3
20
1
4
18
4
15
4
4
13
3
3
6
9
1
1
2
2
4
11
6
4
2
5
5
6
20
PENNSYLVANIA— Continued
New Oxford
Newport
Newport Township
New Sewickley Township
Newton Township
Newtown
Newtown Township
Newville
New Wilmington
Norristown
Northampton
Northampton Township
North Belle Vernon ...,.
North Braddock
North Catasaqua
North Centre Township
North Charleroi
North Codorus Township
North Cornwall Township
North Coventry Township
North East
Northeastern Regional
Northern York Regional
North Fayette Township
North Franklin Township
North Huntingdon Township
North Lebanon Township
North Londonderry Township
North Middleton Township
North Strabane Township
Northumberland
North Versailles Township
North Wales
Norwegian Township
Norwood
Oakdale
Oakmont
O'Hara Township
Ohio Township
Ohioville
Oil City
Old Forge
Old Lycoming Township
Oley Township
Olyphant
Orange Township
Orwigsburg
Osceola Mills
Oxford
Palmerton
Palmer Township
Palmyra
Parkside
Patterson
Patton
Patton Township
Paxtang
Pen Argyl
Penbrook
Penn Hills
Penn Township (Butler County)
Penn Township (Lancaster County)
Penn Township (Westmoreland County)
Penn Township (York County)
Pequea Township
Perkasie ,
Perryopolis ,
Peters Township ,
Philadelphia
Philipsburg
Phoenixville
Pine Creek Township
Pine Grove
Pine Township
Pitcairn
21
7
2
4
2
9
3
2
5
63
3
4
13
14
2
9
1
22
7.566
1
25
I
2
9
4
6
7
17
6
2
4
2
8
3
2
5
55
2
4
12
14
2
17
6.698
19
279
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
etnployees
Total
officers
PENNSYLVANIA— Continued
Pittsburgh
Pittslon
Plainfield Township
Plains Township
Pleasant Hills
Plum
Plumstead Township
Plymouth
Plymouth Township
Pocono Township
Point Marion
Point Township
Portage
Port Allegany
Port Carbon
Port Vue
Pottstown
Potlsville
Prospect Park
Punxsutawney
Pymatuning Township
Quakertown
Raccoon Township
Radnor Township
Ralpho 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 Brook Township
Roaring Spring
Robesonia-Heidelberg
Robeson Township
Robinson Township
Rochester
Rochester Township
Rockledge
Rosslyn Farms
Ross Township
Rostraver
Royersford
Rush Township
Rye Township
Saegertown
Saint Clair
Saint Marys
Salisbury Township
Saltsburg
Sandy Lake
Sandy Township
Saxonburg
Saxton
Say re
Schuylkill Haven
Schuylkill Township
Scottdale
Scott Township (Allegheny County)
Scott Township (Columbia County)
Scott Township (Lackawanna County)...
Scranton
Selinsgrove
Sellersville
Seven Springs
Sewickley
Shaler Township
Shamokin
1,151
13
3
10
18
21
4
10
32
8
2
4
2
2
3
4
46
29
8
16
7
14
1
59
3
2
190
5
2
4
2
1
10
21
6
7
39
2
1
2
1
2
22
8
1
4
2
44
10
7
1
2
2
5
8
11
1
1
6
1
1
8
11
6
7
29
3
2
161
6
4
2
12
36
17
1,063
9
3
10
14
17
4
6
27
8
2
4
2
2
3
4
39
26
8
10
7
12
1
50
3
1
164
5
2
4
2
1
9
16
6
7
30
2
1
2
1
2
17
7
1
4
2
37
9
6
1
2
2
5
7
10
1
1
5
1
1
7
7
5
7
25
3
2
153
5
4
2
8
28
13
PENNSYLVANIA— Continued
Shamokin Dam
Sharon
Sharon Hill
Sharpsburg
Sharpsville
Sheffield Township
Shenandoah
Shenango Township (Lawrence County)
Shenango Township (Mercer County)
Shickshmny
Shillington
Shinglehouse
Shippensburg
Shiremanstown
Shrewsbury
Silver Spring Township
Sinking Spring
Slatington
Slippery Rock
Smithfield
Smith Township
Snyder Township
Solebury Township
Somerset
Souderton
South Abington Township
South Beaver Township
South Centre Township
South Coatesville
South Fayette Township
South Fork
South Greensburg
South Lebanon Township
South Londonderry Township
Southmont
South Park Township
South Strabane Township
South Waverly
Southwest Greensburg
South Whitehall Township
South Williamsport
Spangler
Spring City
Springdale
Springettsbury Township
Springfield Township (Bucks County)
Springfield Township (Delaware County)
Springfield Township (Montgomery County)
Spring Garden Township
Spring Township (Berks County)
Spring Township (Centre County)
State College
Steellon
Stoneboro
Stoneycreek Township
Stowe Township
Stroudsburg
Stroud Township
Sugarcreek
Sugarloaf Township
Summerhill Township
Summit Hill
Sunbury
Susquehanna
Susquehanna Township (Cambria County)
Susquehanna Township (Dauphin County)
Swarthmore
Swalara Township
Swissvale
Swoyersville
Sykesville
Tamaqua
Tarentum
Taylor
Telford
2
28
10
7
6
2
13
2
4
2
6
1
9
2
3
7
3
5
5
2
3
3
8
7
4
9
1
2
2
11
1
2
6
2
2
15
8
2
2
30
5
1
2
3
24
3
38
31
15
14
2
63
8
1
3
10
17
13
4
2
1
3
18
1
1
27
8
29
18
5
1
14
12
6
6
2
23
9
7
5
2
10
2
3
2
6
I
9
2
3
7
3
5
5
2
2
3
7
6
3
8
1
2
1
11
1
2
6
2
2
14
8
2
2
26
5
1
2
3
22
3
33
30
14
14
2
49
7
1
3
10
13
12
4
2
1
3
12
I
1
24
8
27
13
3
1
11
7
6
5
280
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aiy
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
PENNSYLVANIA— Continued
' Temple
Terre Hill
Thombury Township
Throop
Tidioute
Tinicum Township (Bucks County)
Tinicum Township (Delaware County)
Titusville
Tobyhanna Township
Toplon
Towamencin Township
Trafford
Trainer
Tredyffrin Township
Troy
Tullytown
Tunkhannock
Tunkhannock Township
Turtle Creek
Tyrone
Union City
Uniontown
Union Township (Mifllin County)
Union Township (Washington County)
Upper Allen Township
Upper Chichester Township
Upper Darby Township
Upper Dublin Township
Upper Gwynedd Township
Upper Makefield Township
Upper Merion Township
Upper Moreland Township
Upper Mount Bethel Township
Upper Nazareth Township
Upper Perkiomcn
Upper Pottsgrove Township
Upper Providence Township (Delaware County)
Upper Providence Township (Montgomery
County)
Upper Saint Clair Township
Upper Saucon Township
Upper Southhampton Township
Upper Uwchlan Township
Upper Yoder Township
Uwchlan Township
Valley Township
Vandergnft
Vanport Township
Verona
Versailles
Walnulpon
Warminster Township
Warren
Warrington Township
Warwick Township (Bucks County)
Warwick Township (Lancaster County)
Washington
Washington Township (Fayette County)
Washington Township (Franklin County)
1 Washington Township (Northampton County)
i: Watsontown
Waynesboro
Waynesburg
Weatherly
Wellsboro
Wesley villc
West Brandywine Township
West Chester
W'est Conshohocken
W'est Deer Township
West Donegal Township
W'est Earl Township
West Elizabeth
W'est Fairvicw
Westfall Township
2
2
2
3
1
4
10
12
7
5
16
I
4
54
2
6
5
1
9
4
7
35
2
5
10
19
141
36
16
8
66
44
5
2
6
2
10
9
31
II
24
2
5
15
2
8
2
4
2
4
47
28
12
8
10
27
1
7
2
5
17
7
2
5
4
6
44
3
5
2
2
1
2
1
46
10
PENNSYLVANIA— Continued
Westfield
West Goshen Township
West Grove
West Hazleton
West Hempfield Township
West Hills Regional
West Homestead
West Lampeter Township
West Lawn
West Manchester Township
West Manheim Township
West Middlesex
West Mimin
West Newton
West Norriton Township
West Pittston
West Pottsgrove Township
West Reading
West Rockhill Township
Westtown Township
West View
West Whiteland Township
West Wyoming
West York
Wheatland
Whitaker
Whitehall
Whitehall Township
White Haven
Whitemarsh Township
White Oak
Whitpain Township
Wiconisco Township
Wilkes- Barre
Wilkes-Barre Township
Wilkins Township
Williamsburg
Williamsport
Williamstown
Willistown Township
Wilson
Windber
Wind Gap
Windsor Township
Womelsdorf
Wormleysburg
Wrightsville
Wrighttown Township
Wyoming
Wyomissing
Yardley
Yeadon
York
York Springs - Latimore
York Township
Youngsville
Zelienople
RHODE ISLAND
Barrington
Bristol
Burrillville
Central Falls
Charlestown
Coventry
Cranston
Cumberland
East Greenwich
East Providence
Foster
Glocester
Hopkinton
Jamestown
2
22
2
6
II
7
10
4
2
20
3
I
30
2
22
12
6
7
4
II
II
13
4
6
1
I
23
42
1
30
10
23
1
107
14
12
1
52
1
13
7
2
3
8
3
6
2
3
5
I
6
16
103
2
22
2
7
31
24
34
26
23
18
41
38
16
12
58
45
173
144
47
42
33
25
116
94
10
7
II
8
13
9
13
11
281
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
RHODE ISLAND— Continued
Johnston
Lincoln
Little Compton
Middletown
Narragansett
Newport
New Shoreham
North Kingstown
North Providence
North Smilhfield
Pawtucket
Portsmouth
Providence
Scituate
Smithfield
South Kingstown
Tiverton
Warren
Warwick
Westerly
West Greenwich
West Warwick
Woonsocket
SOUTH CAROLINA
Abbeville
Aiken
Allendale
Andrews
Atlantic Beach
Aynor
Bamberg
Barnwell
Batesburg.....
Beaufort
Belton
Bennettsville
Bethune
Bishopville
Blacksburg ,
Blackville
Bowman
Calhoun Falls
Camden
Cayce
Central City
Charleston
Cheraw
Chesnee
Chester
Chesterfield
Clemson
Clinton
Clover
Columbia
Conway
Coupcns
Darlington
Denmark
Dillon
Easley
Edgefield
Edisto Beach
Elloree
Estill
Eutawville
Fairfax ;
Florence
Folly Beach
Forest Acres
Fort Mill
Fountain Inn
Gaffney
65
33
8
36
35
103
3
51
63
19
174
29
502
18
37
55
27
23
205
43
8
50
110
18
83
10
14
2
3
10
11
13
40
19
26
3
15
9
7
1
6
27
39
3
333
25
5
20
6
25
27
10
273
38
4
29
10
18
25
8
3
4
9
6
5
85
13
28
IS
16
28
49
30
7
34
29
81
3
41
48
15
147
28
423
14
30
40
19
20
163
38
4
44
100
14
67
6
10
1
2
7
10
9
30
14
20
3
11
5
7
1
6
27
32
3
240
20
5
18
5
20
25
10
199
29
4
20
8
14
21
5
3
4
4
3
5
69
8
21
10
11
20
SOUTH CAROLINA— Continued
Gaston
Georgetown
Goose Creek
Gray Court
Great Falls
Greenville
Greenwood
Greer
Hampton
Hanahan
Hardeeville
Hart&ville
Heath Springs
Hemingway
Holly Hill
Honea Path
Inman
Irmo
Isle of Palms
Iva
Jackson
Johnsonville
Johnston
Jonesville
Kershaw
Kingstree
Lake City
Lakeview
Lamar
Lancaster
Landrum
Lalta
Laurens
Leesville
Lexington
Liberty
Loris
Lyman
Manning „
Marion
Mauldin
McBee
McColl
McCormick
Moncks Comer
Mount Pleasant
Mullins
Myrtle Beach
Newberry
Ninety Six
North Augusta
North Charleston
North Myrtle Beach
Orangeburg
Pacolet
Pacolet Mills
Pageland
Pendelton
Pickens
Port Royal
Prosperity
Ridgeland
Ridgc Springs
Ridgeway
Rock Hill
Saint George
Saint Matthews
Saint Stephens
Salem
Saluda
Santee
Seneca
Simpson ville ,
South Congaree
Spartanburg
2
39
31
1
7
193
50
37
7
24
11
35
1
7
6
14
5
14
19
5
3
8
7
4
8
19
23
5
3
39
7
11
22
5
8
10
II
3
15
23
27
2
8
11
16
57
21
102
24
10
46
167
64
43
2
1
11
5
10
14
2
7
3
2
90
6
5
8
1
7
3
23
22
3
119
1
31
22
1
6
163
40
31
6
17
7
27
1
5
3
10
5
13
13
4
3
4
7
4
4
14
17
3
3
34
7
6
21
5
8
5
II
3
14
17
21
1
5
7
12
43
14
98
20
6
38
118
46
33
2
1
8
5
9
12
2
6
3
2
71
6
5
4
1
7
2
22
16
3
100
282
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Tola I
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
SOUTH CAROLINA— Continued
Sphngdale
Sullivans Island .
Summenon
Summerville
Sumter
Surfside Beach...
Swansea
Tega Cay
Timmonsville
Travelers Rest ...
Union
Vamville
Wagener
Walhalla
Wallerboro
Ware Shoals
West Columbia..
Westminster ....
Whilmire
Williamston
Williston
Winnsboro
WoodnilT
York
SOUTH DAKOTA
Aberdeen
Belle Fourche .
Brookings
Chamberlain..-
Deadwood
Fort Pierre
Huron ,
Lead
Madison
Milbank
Mitchell
Mobndge
Pierre
Rapid City
Salem ,
Sioux Falls
Spearfish
Sturgis
Vermillion
Watertown
Yankton
TENNESSEE
Adamsville
Alcoa
Ardmore
Ashland City...
Athens
Banlett
Benton
Bethel Springs .
Bolivar
Brentwood
Bristol
Brownsville
Bruceton
Caryville
Centerville
Chattanooga
Church Hill
Clarksville
Cleveland
Collegedale
Collierville
Collinwood
Columbia
TENNESSEE— Continued
48
8
30
8
7
3
24
8
15
6
24
10
22
95
2
149
14
II
21
29
33
25
9
6
31
47
3
1
21
38
53
24
3
3
13
510
4
121
57
10
40
4
55
36
7
25
4
5
3
22
6
11
6
20
6
19
79
2
126
10
9
15
25
19
5
3
23
2
5
4
6
23
8
33
14
3
15
6
30
8
50
3
18
6
3
3
9
4
56
154
4
99
22
50
7
6
4
28
12
4
48
7
Cookeville
Cowan ,
Crossville ,
Cumberland Gap...
Dandridge
Dayton
Decherd
Dresden
Dyer
Dyersburg ,
East Ridge
Elkton
Englewood
EstiU Springs
Fairview
Fayelteville
Franklin
Friendsville
Gallatin
Gates
Gatlinburg
Germantown
Gleason
Goodlettsville
Grand Junction
Greeneville
Harriman
Hartsville
Henderson
Hendersonville
Hohenwald
Humboldt
Huntingdon
Jackson
Jasper
Jefferson City
Jellico
Johnson City
Jonesborough
Kenton
Kimball
Kingsport
Kingston
Knoxville
Lafayette
La Follette
Lake City
La Vergne
Lawrenceburg
Lebanon
Lexington
Livingston
Lookout Mountain .
Loretto
Martin
Maryville
McKenzie
McMinnville
Memphis
Milan
Millersville
Millington
Minor Hill
Monteagle
Monterey
Mornstown
Mount Juliet
Mount Pleasant
Murfreesboro
Nashville
Newbern
New JohnsonvlUe ...
Newport
New Tazewell
Norris
59
46
4
4
25
18
2
1
2
2
14
10
11
7
5
5
6
6
40
32
28
24
4
4
13
9
24
23
48
38
3
2
41
33
2
1
36
31
44
33
4
4
33
28
3
3
38
36
21
17
12
8
15
11
52
40
9
9
29
24
15
10
169
127
11
7
15
11
7
6
131
103
11
7
3
3
8
5
90
74
6
6
357
301
10
10
21
16
10
8
17
13
34
26
29
25
25
20
16
11
19
15
4
4
23
18
30
28
14
11
35
28
1,658
1.231
19
15
7
4
28
23
4
2
12
6
4
4
51
44
10
6
12
8
103
84
1.306
1,019
12
8
3
3
24
24
6
6
7
7
283
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Tolal
officers
Total
civilians
Cily
Total
police
employees
Total
officers
TENNESSEE— Continued
Oak Ridge
Obion
Oliver Springs
Pigeon Forge
Portland
Pulaski
Red Bank
Ripley
Rockwood
Rossville
Rutherford
Savannah
Sevierville
Sewanee
Sharon
Shelbyville
Signal Mountain
Smyrna
Soddy-Daisy
Somerville
South Carthage
South Fulton
South Pittsburg
Sparta
Spring City
Springfield
Spring Hill
Sweetwater
Tazewell
Tracy City
Trenton
Trimble
Tullahoma
Union City
Watertown
Waverly
Westmoreland
White House
Winchester
Woodbury
TEXAS
Abemathy
Abilene
Addison
Alamo
Alamo Heights
Alice
Alleii
Alpine
Alvarado
Alvin
Amarillo
Ames
Andrews
Angleton
Anson
Anthony
Aransas Pass
Arlington
Arp
Athens
Atlanta
Austin
Azie
Balch Springs
Balcones Heights
Balhnger
Bastrop
Bay City
Bayou Vista
Baytown
Beaumont
3
189
72
18
23
40
30
11
11
41
317
14
15
38
4
6
21
451
2
28
15
1,085
23
29
15
8
II
33
5
125
256
3
154
54
14
18
30
20
8
6
34
243
13
14
28
4
5
17
336
2
20
10
761
17
21
14
5
9
26
4
95
225
35
18
4
5
10
10
3
5
7
74
I
1
10
1
4
115
5
324
6
8
1
3
2
7
1
30
31
TEXAS— Continued
Bedford
Beeville
Bellaire
Bellmead
Bellville
Belton
Benbrook
Berry ville
Bertram
Beveriy 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
Caldwell
Cameron
Canadian
Caney City
Canton
Canyon
Carmine
Carrizo Springs
Carrollton
Carthage
Castle Hills
Cedar Hill
Cedar Park
Center
Childress
Cisco
Clarksville
Cleburne
Cleveland
Clifton
Clute
Cockrell Hili
Coleman
College Station
Colley ville
Colorado City
Columbus
Comanche
Combes
Commerce
Converse
Conroe
Coppell
Copperas Cove
Corinth
Corpus Christ!
Corrigan
Corsicana
Crane
Crockett
Crowley
Crystal City
73
23
48
12
8
26
37
4
1
6
2
60
7
1
9
II
20
28
16
13
8
15
36
16
12
12
19
168
34
100
17
33
9
8
10
3
5
11
12
2
7
155
16
21
30
15
15
14
10
9
48
23
6
25
18
16
85
22
13
6
11
3
18
16
61
22
41
10
459
9
44
iO
21
20
12
53
17
36
8
6
18
30
3
1
6
2
44
4
1
5
10
13
20
10
7
6
10
26
11
7
10
14
126
27
78
12
26
7
6
7
3
2
7
11
2
6
111
12
18
22
10
11
7
9
5
36
15
5
19
12
9
60
14
7
6
7
3
13
IS
48
16
32
9
345
5
34
6
14
13
284
Table 72. — Number of Full-time l^w Enforcement Employees, Cities, October 31, 1987 — Continued
Qty
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
TEXAS-Conlinued
Cuero
Daingerfield
Dalhail
Dallas
Dalwonhington Gaidens
Dayton
Decatur
Deer Park
De Kalb
Del Rio
Denison
Denton
Denver City
DeSoto
Devine
Diboll
Dickinson
Dilley
Dimmitt
Donna
Dublin
Dumas
Duncanville
Eagle Lake
Eagle Pass
Early
Eastland
Edcouch
Eden
Edinburg
Edna
El Campo
Electra
Elgin
El Paso
Elsa
Ennis
Euless
Everman
Fairfield ...
Falfurnas
Farmers Branch
Farmersville
Ferris
Floresville
Flower Mound
Forest Hill
Forney
Fort Stockton
Fort Worth
Frankston
Fredericksburg
Freeport
Freer
Friendswood
Friona
Gainesville
Galena Park
Galveston
Garland
Gatesville
Georgetown
Giddings
Gilmer
Gladewater
Gonzales
Gorman
Graham
Granbury
Grand Prairie
Grand Saline
Grapcvmc
Greenville
Gregory
Groesbeck
9
6
16
2,960
7
15
10
46
6
58
49
108
II
47
10
U
18
I
8
23
8
26
71
7
36
5
10
5
3
50
8
23
10
14
891
11
31
79
22
7
8
73
4
13
6
30
25
11
18
1,247
7
15
37
7
38
10
40
21
183
260
14
29
13
9
18
15
3
21
15
188
6
75
42
3
6
9
5
9
2,400
5
10
9
37
3
47
41
92
6
34
5
8
15
1
7
18
6
21
48
7
31
4
8
4
2
35
7
18
6
10
688
7
25
54
14
7
8
62
4
9
6
21
18
8
U
952
5
14
29
3
28
6
31
16
148
190
7
21
9
7
12
9
3
16
12
127
5
52
34
3
5
1
7
560
2
5
1
9
3
11
8
16
5
13
5
5
3
5
1
2
1
1
15
1
5
4
4
203
4
6
25
9
7
3
7
295
2
1
8
4
10
4
9
5
35
70
7
8
4
2
6
6
5
3
61
I
23
TEXAS— Continued
Groves
Gruver
Gun Barrel City
Hallettsville
Haltom City
Hamlin
Harker Heights
Harlingen
Hawkins
Heame
Hedwig Village
Hempstead
Henderson
Hereford
Hewitt
Hico
Hidalgo
Highland Park
Highland Village
Hill Country
Hillsboro
Hitchcock
Hollywood Park
Hondo
Hooks
Horseshoe Bay
Houston
Humble
Huntington
Huntsville
Hurst
Hutchins
Idalou
Ingleside
Iowa Park
Irving
Jacinto City
Jacksboro
Jacksonville
Jamaica Beach
Jasper
Jefferson
Jersey Village
Jones Creek
Jonestown
Joshua
Jourdanlown
Katy
Kaufman
Keene
Keller
Kemp
Kennedale
Kermit
Kerrville
Kilgore
Killeen
Kingsville
Kirby
Kirbyville
Kountze
Kyle
Lacy-Lakeview
La Feria
Lago Vista
La Grange
La Joya
Lake Dallas
Lake Jackson
Lakeside
Lakeview
Lakeway Village
Lake Worth
La Marque
Lamesa
13
2
10
4
53
9
32
85
4
16
20
8
27
29
22
2
17
54
16
5
24
18
7
13
4
11
5,555
48
5
37
86
12
2
13
14
279
1
27
6
23
5
20
3
6
7
4
21
16
12
23
5
16
16
45
36
143
53
14
3
4
4
12
12
2
6
3
41
5
24
70
4
10
14
8
22
23
15
2
13
46
9
5
17
12
7
10
4
6
4,445
37
5
27
55
9
2
9
10
204
14
6
22
5
13
5
14
3
5
6
4
16
II
8
17
4
11
11
38
29
113
36
9
3
4
4
6
6
5
4
6
8
28
1
13
9
19
20
14
4
1
12
4
3
5
1,110
II
10
31
3
4
4
75
4
2
5
1
10
5
5
4
6
1
5
5
7
7
30
17
5
2
6
10
2
4
6
6
6
285
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
TEXAS— Continued
Lampasas
Lancaster
La Porte
Laredo
La Vemia
La Villa
League City
Leander
Leon Valley
Levelland
Lewisville
Lexington
Liberty
Lindale
Littlefield
Live Oak
Livingston
Llano
Lockhart
Lone Star
Longview
Los Fresnos..
Lubbock
Lufkin
Luling
Madisonville
Malakoff
Manor
Mansfield
Manvel
Marble Falls
Marion
Marlin
Marshall
Mart ,
Mathis
Mc Allen
McGregor
McKinney
Meadows
Memphis
Mercedes
Merkel
Mesquite
Mexia
Midland
Midlothian
Mineola
Mineral Wells
Mission
Missouri City
Monahans
Mont Belvieu
Morgans Point Resort
Mount Pleasant
Muleshoc
Munday
Nacogdoches
Naples
Nassau Bay
Navasota
Nederland
Needville
New Boston
New Braunfels
Nocona
Nolanville
Northcrest
North Richland Hills
Oak Ridge North
Odessa
Olmos Park
Olney
Olton
Onalaska
14
42
52
183
1
4
48
13
32
26
85
2
19
II
14
20
14
5
13
3
170
11
334
57
12
6
8
6
30
4
13
I
14
52
6
13
239
10
38
8
3
25
2
193
17
189
16
10
31
44
52
21
8
4
23
12
2
56
2
17
15
23
5
10
45
12
10
5
87
7
235
10
9
4
3
8
31
37
164
1
3
37
8
25
19
71
2
11
7
9
16
8
4
II
3
132
6
278
49
6
5
6
5
23
4
10
1
9
39
3
9
171
6
30
7
2
17
2
150
12
148
11
8
23
33
40
14
6
4
18
6
2
44
2
14
10
19
5
6
34
4
6
4
63
6
174
10
5
3
3
TEXAS— Continued
Orange
Orange Grove
Ore City
Overton
Oyster Creek
Palacios
Palestine
Palmer
Pampa
Pantego
Paris
Pasadena
Pearland
Pearsall
Pecos
Perry ton
Pfiugerville
Pharr
Pilot Point
Pittsburg
Plain view
Piano
Pleasanton
Port Aransas
Port Arthur
Port Isabel
Poriland
Port Lavaca
Port Neches
Poteet
Fremont
Princeton
Quanah
Quinlan
Quitman
Ranger
Ransom Canyon
Raymondville
Red Oak
Refugio
Richardson
Richland Hills
Richmond
Richwood
River Oaks
Robinson
Robstown
Rockdale ,
Rockport
Rockwall
Rollingwood
Roma
Roman Forest
Roscoe
Rose City
Rosenberg
Round Rock
Rowlett
Royse City
Rusk
Sabinal
Sachse
Sagmaw
San Angelo
San Antonio
San Augustine
San Benito
San Juan
San Marcos
Sansom Park Village
Santa Anna
Santa Fe
Schertz
Seabrook
Seagoville
51
3
3
8
10
9
49
3
35
15
51
251
39
8
20
15
11
58
4
9
36
226
12
15
132
18
31
20
17
5
4
5
4
5
6
4
1
16
10
5
196
23
18
6
17
7
23
16
23
24
3
12
3
I
2
48
47
38
6
7
2
14
23
172
1,695
4
32
18
59
13
2
16
19
21
17
40
3
3
3
6
6
38
3
27
10
35
201
30
8
15
10
6
40
4
8
29
149
9
10
103
13
21
16
14
4
4
4
4
4
6
4
1
10
6
4
128
17
15
5
12
6
18
9
16
18
3
8
2
1
2
36
35
29
6
6
2
8
16
140
1.394
4
26
13
45
9
2
II
13
18
12
286
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
Cily
Total
police
employees
Total
officers
Total
civilians
TEXAS— Continued
Seagraves
Scaly
Seguin
Selma
Scmmole
Seven Points
Shallowaier
Shamrock
Shavano Park
Shenandoah
Sherman
Silsbee
Sinton
Slaton
Smithville
Snyder
Somerset
Somerville
Sonora
South Houston '.
Southlake
South Padre Island
Southside Place
Spearman
Springlown
Spring Valley ,
Spur
Stafford
Stamford
Stanton
Stephenville
Stinnett ,
Sugar Land
Sulphur Springs
Sunset Valley ,
Surfside Beach
Sweeny ,
Sweetwater ,
Taft ......
Tahoka
Talum ,
Taylor ,
Teague
Temple
Terrell
Terrell Hills
Texarkana ,
Texas City
The Colony
Tomball
Troup
Tulia ,
Tye
Tyler
Universal Cily
University Park
Uvalde
Van
Vernon
Victoria
Vidor
Village
Waco
Wake Village
Waller
Wallis
Watauga
Waxahachie
Weatherford
Webster
Wells
Weslaco
West
West Columbia
West Lake Hills
3
10
49
8
9
9
2
8
1
5
64
20
8
14
9
19
1
3
5
36
25
22
IS
10
9
19
2
30
8
5
33
2
40
31
2
10
6
24
3
4
4
21
6
118
30
17
78
67
31
22
5
12
3
161
35
40
23
5
22
117
26
30
237
6
5
3
37
39
36
30
1
46
4
13
12
2
9
1
1
35
14
7
1
9
4
5
7
4
4
1
S
49
15
14
6
7
1
7
7
6
3
15
4
1
3
4
1
28
8
19
6
16
6
13
2
5
5
5
4
14
5
?
21
9
7
1
4
1
28
5
7
33
7
26
5
7
8
2
5
1
20
4
3
4
2
2
15
6
5
1
94
24
23
7
17
69
9
56
11
21
10
20
2
4
1
6
6
2
1
28
33
26
9
32
8
18
5
4
1
18
4
84
33
18
8
25
5
80
57
5
1
5
2
1
28
9
30
9
27
9
22
8
35
11
4
8
5
8
4
TEXAS— Continued
West Orange
Westover Hills
West Tawakoni
West University Place
Wcstworth Village
Wharton
Whitehouse
White Oak
Whitesboro
White Settlement
Wichita Falls
Wills Point
Wilmer
Windcrest ,
Winnsboro
Winters
WolfTorth
Woodville
Woodway
Wylie
Yoakum
Yorktown
UTAH
Alpine ,
American Fork
Beaver
Blanding
Bountiful
Brigham City
Cedar City
Centerville
Clearfield
Clinton
Delta
Draper
Ephraim..
Farmington
Garland
Grantsville
Gunnison
Harrisville
Heber
Helper
Hurricane
Kamas
Kanab
Kaysville
Layton
Lehi
Logan
Manti
Mapleton
Midvale
Moab
Monticello
Mount Pleasant
Murray
Naples
Nephi
North Ogden
North Salt Lake
Ogden
Orem
Park City
Parowan
Payson
Pleasant Grove
Pleasant View
Price
Prove
Richfield
Riverdale
13
7
23
9
16
9
14
8
29
209
6
12
17
12
5
3
7
21
20
13
5
3
18
3
7
37
33
15
9
27
6
6
7
3
5
1
5
2
5
6
4
6
1
4
10
38
10
34
3
4
25
9
3
3
59
3
6
11
8
124
70
20
2
12
12
4
16
78
10
17
6
13
3
17
4
14
7
10
4
20
148
5
8
12
7
5
3
6
16
14
8
3
3
15
3
7
29
26
14
8
20
5
5
6
3
4
1
5
2
4
5
4
6
I
3
9
31
9
30
3
4
19
7
3
3
46
2
5
9
7
106
47
15
2
11
11
4
13
60
8
15
287
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
UTAH— Continued
Roosevelt
Roy
Saint George
Salem
Satina
Salt Lake City
Sandy
Santaquin City
South Jordan
South Ogden
South Salt Lalie
Spanish Fork
Springvilie
Sunset
Syracuse
Tooele
Tremonton
Vernal
Washington Terrace .
Wendover
West Bountiful
West Jordan
West Valley
Woods Cross
VERMONT
Barre
Barre Town
Bellows Falls
Bennington
Brandon
Brattleboro
Burlington
Castleton
Chester
Colchester
Dover
Essex
Fair Haven
Hardwick
Hartford
Ludlow
Manchester
Middlebury
Milton
Montpelier
Morristown
Newport
Northfield
Norwich
Randolph
Richmond
Rutland
Saint Albans
Saint Johnsbury...
Shelburne
South Burlington .
Springfield
Stowe
Swanton
Vergennes
Waterbury
Weathersfield
Wilmington
Windsor
Winhall
Winooski
Woodstock
Total
police
employees
VIRGINIA
Abingdon
Alexandria
12
29
38
2
3
437
82
3
8
20
35
14
18
7
5
23
7
18
11
7
5
68
104
20
5
12
31
5
41
HI
2
4
22
5
27
2
9
23
7
12
11
10
22
6
14
2
5
4
2
52
21
15
16
34
20
10
4
10
15
315
Total
officers
8
22
30
2
3
317
65
3
7
14
27
12
14
6
4
19
6
15
9
6
4
51
85
7
15
5
7
25
5
28
88
2
3
18
4
20
2
8
18
3
8
9
8
16
5
10
2
4
4
2
42
14
10
8
26
14
9
Total
civilians
12
13
224
120
17
City
VIRGINIA— Continued
AltaVista
Amherst
Appalachia
Appomattox Town .
Arlington
Ashland
Bedford
Berryville
Big Stone Gap
Blacksburg
Blackstone
Bluefield
Bridgewater
Bristol
Brookneal
Buchanan
Buena Vista
Burkeville
Cape Charles
Cedar Bluff
Charlottesville
Chase City
Chatham
Chesapeake
Chilhowie
Chincoteague
Christiansburg
Clarksville
Clifton Forge
Clintwood
Coebum
Colonial Beach
Colonial Heights
Courtland
Covington
Crewe
Culpeper
Damascus
Danville
Dayton
Dublm
Dumfries
Edinburg
Elkton
Emporia
Exmore
Fairfax City
Falls Church
Famiville
Franklin
Fredericksburg
Fries
Front Royal
Galax
Gate City
Glade Spring
Glen Lyn
Gordonsville
Gretna
Grundy ,.
Halifax
Hampton
Harrisonburg
Haysi
Herndon
Hillsville
Honaker
Hopewell
Hurt
Independence
Iron Gate
Jonesville
Kenbndge
Kilmarnock
Lawrenceville
Total
police
employees
14
4
10
2
371
14
25
4
16
56
15
14
5
47
4
1
16
4
4
2
108
12
4
289
4
11
25
7
12
2
8
11
33
3
19
8
26
2
114
2
10
8
1
9
23
4
71
40
20
26
61
1
33
24
3
3
1
4
3
3
4
241
45
1
42
8
4
50
2
2
1
3
4
4
5
Total
officers
11
4
7
2
304
12
17
4
12
41
11
10
5
39
4
1
12
4
4
2
89
8
4
240
4
10
19
5
9
2
8
7
25
1
14
5
20
2
99
1
6
8
1
5
17
3
58
30
IS
20
50
I
26
21
4
201
34
1
33
4
41
288
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Total
police
employees
Tolal
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
VIRGINIA— Continued
Lebanon
Leesburg
Lexington
Louisa
Luray
Lynchburg
Manassas
Manassas Park
Manon
Martinsville
McKenney
Middleburg
Middletown
Mount Jacltson
Narrows
New Market
Newport News
Norfolk
Norton
Onancock
Onley
Orange
Parksley
Pearisburg
Pembroke
Pennington Ciap
Petersburg
Pocahontas
Poquoson
Portsmouth
Pound
Pulaski
Purcellville
Quantico
I^dford
Rich Creek
Richlands
Richmond
Roanoke
Rocky Mount
Rural Retreat
Saint 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
Wythevillc
6
27
20
2
II
tS6
61
19
21
55
I
3
2
3
5
3
302
691
17
3
I
9
3
6
I
8
142
2
18
266
5
30
5
3
28
I
19
687
259
10
I
5
67
5
5
13
19
19
3
54
2
II
103
5
II
1
3
SO
22
691
22
3
5
48
1
36
58
II
9
25
6
24
15
2
10
138
47
13
16
49
1
3
2
3
5
3
252
623
13
3
I
9
3
6
I
4
92
2
13
210
5
23
5
3
22
1
14
611
220
10
1
5
50
5
5
8
15
14
3
44
2
7
89
5
10
1
3
39
17
504
16
3
5
45
1
27
44
10
9
18
17
10
II
5
187
6
WASHINGTON
Aberdeen
Algona
Anacortes
Arlington
Auburn
Battle Ground
Bellevue
Bellingham
Benton City
Bingen
Black Diamond
Blaine
Bonney Lake
Bothell
Bremerton
Brier
Buckley
Burlington....
Camas.,..
Castle Rock
Centralia
Chehalis
Chewelah
Clarkston
Cle Elum
Clyde Hill
College Place
Colville
Colville Tribal
Connell
Cosmopolis
Coulee Dam
Dayton
Des Moines
East Wenatchee
Eaton ville
Edmonds
Ellensburg
Elma
Enumclaw
Ephrata
Everett
Femdale
Fife
Fircrest
Forks
Goldendale
Grand Coulee
Grandview
Hoquiam
Issaquah
Kalama
Kelso
Kennewick
Kent
Kirkland
Lacey
La Conner
Lake Stevens
Long Beach
Longview
Lummi Tribal
Lynden
Lynnwood
Marysville
McCleary
Medina
Mercer Island
Monroe
Montesano
Moses Lake
Mountlake Terrace
Mount Vernon
Mukilteo
Newport
47
5
24
8
74
8
172
106
4
4
3
8
12
24
69
8
13
13
16
4
22
17
7
12
5
6
11
10
25
5
5
3
5
24
7
3
46
18
8
12
14
147
10
17
8
II
7
3
16
29
19
4
25
57
101
44
28
4
4
4
56
9
6
45
23
4
6
39
10
6
25
2S
36
9
3
36
4
16
7
55
8
116
67
4
4
3
7
8
17
50
6
7
8
13
3
19
14
4
9
5
6
7
9
15
5
4
3
3
18
6
3
33
15
4
9
8
117
7
II
7
6
6
3
II
22
13
4
21
45
63
33
23
3
4
4
46
8
5
37
17
4
6
29
9
6
16
22
26
7
3
289
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
Tola:
police
employees
Tolal
officers
Total
civilians
City
Tolal
police
employees
Total
officers
WASHINGTON— Continued
WEST VIRGINIA— Continued
Normandy Park
Oak Harbor
Ocean Shores
Okanogan
Olympia
Oroville
Othello
Pacific
Pasco
Pomeroy
Port Angeles
Port Orchard
Port Townsend
Poulsbo
Prosser
Pullman
Puyallup
Quincy
Raymond
Redmond
Renton
Republic
Richland
Ridgefield
Ritzville
Ruston
Seattle
Sedro Woolley ...
Selah
Sequim
Shelton
Snohomish
Snoqualmie
Soap Lake
Spokane
Stanwood ,
Steilacoom
Sumner
Sunnyside
Tacoma
Tonasket
Toppenish
Tukwila
Tumwater
Union Gap
Vancouver
Walla Walla
Wapato
Washougal
Wenatchee
Westport
West Richland...
White Salmon....
Wmlock
Woodland
Yakima
Zillah
WEST VIRGINIA
Alderson
Anmoore
Ansled
Barboursvillc.
Beckley
Behngton
Belle
Benwood
Bethlehem
Bluefield
Bridgeport
Buckhannon...
Cameron
Cedar Grove,.
11
30
11
6
69
8
12
6
41
2
40
12
10
13
12
29
49
8
7
56
88
2
48
2
3
1
1,511
14
9
II
28
13
5
4
298
5
11
15
20
325
3
18
37
17
14
84
49
14
8
41
11
11
4
4
5
113
4
10
20
6
5
53
4
9
5
32
2
26
11
9
II
8
20
33
6
5
41
64
2
41
2
3
1
1.121
10
7
7
16
11
4
4
235
5
9
10
15
296
3
12
29
14
12
71
30
11
7
31
7
8
4
3
5
85
3
3W
4
2
4
12
2
1
Ceredo
Chapmanville
Charleston
Charles Town
Chesapeake -.
Chester
Clarksburg
Clay
Clendenin
Danville
Davy
Delbarton
Dunbar
Elkins
Fairmont City
Fayetteville ,
Follansbee
Fort Gay
Gauley Bridge
Glen Dale
Glenville
Grafton
Granlsvilie
Granville
Harpers Ferry-Bolivar .
Harrisville
Hinton
Huntington
Hurricane
Kenova
Kermit
Keyser
Kimball
Kingwood
Lewisburg
Logan
Lumberport
Mabscott
Madison
Man
Mannington
Marlinton
Marmet
Martinsburg
Mason
Matewan
McMechen
Milton
Monongah
Montgomery
Moorefield
Morgantown
Moundsville
Mount Hope
Mullens
New Cumberland
New Haven
New Martinsville
Nilro
Northfork
Nutter Fort
Oak Hill
Oceana
Paden City
Parkersburg
Parsons
Pennsboro
Petersburg
Philippi
Piedmont
Pineville
Poca
Point Pleasant
Princeton
Rainelle
9
3
182
10
3
3
42
1
6
4
I
2
17
IS
40
4
6
2
3
5
4
9
3
2
4
2
7
105
10
13
3
12
2
4
7
II
2
3
7
4
4
2
3
35
3
3
4
3
I
14
3
57
20
4
3 .
161
8
3 ,
3 ,
32
1
5
3
1
2
12
10
31
3
6
2
3
5
4
6
2
2
4
2
6
100
5
9
2
7
1
4
7
8
2
3
6
4
4
1
3
28
2
3
4
2
1
10
3
46
18
3
4
3
I
10
10
4
6
7
4
4
60
2
1
4
5
2
4
1
8
21
3
290
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
aiy
Total
police
employees
Total
officers
Tola!
civilians
City
Total
police
employees
Total
officers
Total
civilians
WEST VIRGINIA— Continued
Ranson
Ravenswood
Richwood
Ripley
Romney
Ronceverte
Saint Albans
Saint Maiy's
Salem
Shepherdstown
Shinnston
Sistersville
Smithere
Sophia
South Charleston
Spencer
Star City
Slonewood
Summers ville
Sutton
Terra Alta
Vienna
War
Wayne
Webster Springs
Weinon
Welch
Wellsburg
Weston
Westover
Wheeling
Whilesville
White Sulphur Springs
Williamson
Williamslown
WISCONSIN
Adams
Algoma
Altoona ,
Applelon
Ashland
Ashwaubenon '.
Baraboo
Bayside
Beaver Dam
Berlin
Black River Falk
Bloomer
Brillion
Brodhead
Brookfield
Brown Deer
Burlington
Burlington Town
Butler
Cedarburg
Chenequa
Chilton
Chippewa Falls
Clintonville
Columbus
Combined Locks
Crandon
Cuba City
Cudahy
Darlington
De Forest
Delafield
Delavan
Delavan Town
Dc Pere
Dodgeville
5
12
9
8
4
3
23
8
5
3
4
4
4
4
32
10
6
2
10
3
2
19
3
1
3
46
17
8
13
11
83
4
6
16
6
3
5
8
118
21
32
20
15
33
15
8
8
3
10
73
32
26
6
9
26
7
6
32
12
7
4
3
3
37
4
4
8
14
7
30
7
WISCONSIN— Continued
Durand
East Troy
F^iu Claire
Edgerton
Elm Grove
Fitchburg
Fond du Lac
Fori Atkinson
Fox Point
Franklin
Germantown
Glendale
Grafton
Green Bay
Greendale
Greenfield
Hales Comers
Hallie Town
Hartford
Hartland
Holmen
Horicon
Hudson
Janesville
JefTerson
Kenosha
Kewaunee
Kewaskum
Kiel
Kimberly
La Crosse
Ladysmith
Lake Delton
Lake Geneva
Lake Mills
Lancaster
Little Chute
Lodi
Madison Town
Manitowoc
Marshfield
Mauston
May ville
Medford
Menasha Town
Menomonee Falls ,
Menomonie
Mequon
Merrill
Middlelon
Milton
Milwaukee
Minocqua
Monona
Monroe
Mosinee
Mount Pleasant
Mukwonago
Muskego
Neenah
Neillsville
New Berlin
New Holstein
New Lisbon
New London
New Richmond
North Fond du Lac
Oak Creek
Oconomowoc
Oconomowoc Town
Oconto
Oconto Falls
Onalaska
Oregon
Oshkosh
4
8
108
10
20
22
70
20
22
34
27
45
24
204
31
61
18
6
19
II
5
8
13
97
12
165
6
4
10
8
97
8
5
19
6
7
12
6
17
68
43
8
9
8
13
70
37
42
24
27
6
2,317
13
21
31
6
22
12
30
50
6
69
10
2
15
10
9
43
27
7
7
5
16
8
88
4
6
82
9
16
17
59
15
17
27
21
35
18
163
25
48
15
5
15
10
5
7
11
73
11
154
6
4
5
7
82
6
5
15
6
6
11
5
14
59
33
7
8
7
12
54
25
35
20
22
6
1,944
8
18
24
5
15
9
24
41
5
54
6
2
15
9
7
39
21
7
7
5
15
7
81
291
Table 72. Number of Full-time Law Enforcement Employees, Cities, October 31, 1987 — Continued
City
WISCONSIN— Continued
Palmyra
Park Falls
Pewaukee
Plalteville
Pleasant Prairie ....
Plover
Plymouth
Port Washington ..
Prairie du Chien .
Racine
Reedsburg
Rhinelander
Rice Lake
Richland Center...
Ripon
River Falls
Rome
Rothschild
Saint Francis
Sauk Prairie
Saukville
Schofield
Shawano
Sheboygan
Shorewood
Shorewood Hills...
South Milwaukee..
Sparta
Stanley
Stevens Point
Stoughton
Sturgeon Bay
Sturlevant
Sun Prairie
Thiensville
Tomah
Tomahawk
Twin Lakes
Two Rivers
Verona
Viroqua
Washburn
Waterloo
Watertown
Waukesha
Waunakee
Waupaca
Waupun
Wausau
Wauwatosa
West Allis
West Bend
West Milwaukee..
Weston
Total
police
employees
Total
officers
4
3
6
6
14
12
23
18
7
7
5
5
12
11
19
14
14
9
263
204
17
11
23
17
23
21
11
9
14
10
15
14
2
2
5
5
20
19
10
9
7
6
5
5
21
17
107
89
29
25
7
6
40
30
14
13
4
4
50
40
17
17
18
17
7
7
29
22
7
6
19
14
8
6
9
5
29
24
8
7
7
7
4
4
5
5
37
31
118
89
7
6
14
10
16
14
60
53
110
87
154
131
47
39
25
19
16
12
Total
civilians
10
City
WISCONSIN— Continued
West Salem
Whitefish Bay
Whitewater
Wisconsin Dells....
Wisconsin Rapids
WYOMING
Afton
Baggs
Basin
Buffalo
Casper
Cheyenne
Cody
Cokeville
Diamondville....
Douglas
Encampment ....
Evanston
Evansville
Gillette
Glenrock
Green River
Greybull
Guernsey
Hanna
Jackson
Kemmerer
Lander
Laramie
Loveil
Lusk
Lyman
Medicine Bow..
Mills
Moorcrofl
Newcastle
Pine Bluffs
Pinedale
Powell
Rawhns
Riverton
Rock Springs...
Saratoga
Sheridan
Shoshoni
Sundance
Thayne
Thermopolis
Torrington
Upton
Wheatland
Worland
Total
police
employees
7
2
3
13
90
93
15
1
3
19
4
29
10
47
8
30
3
4
5
16
13
20
48
4
4
12
4
8
5
13
6
6
17
27
26
54
9
36
5
4
1
13
17
3
10
13
Total
officers
3
23
21
8
35
6
1
3 .
9
67
72
13
1 .
3 .
II
2
24
6
32
4
26
3
4
2
13
10
12
36
4
3
11
1
7
4
8
2
5
II
18
16
32
4
23
2
4
1
7
II
3
9
to
292
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1987
University/College
Total
police
employees
Tola!
officers
Total
civilians
University/College
Total
police
employees
Total
officers
Total
civilians
ALABAMA
Auburn University;
Main Campus
Montgomery
Jacksonville State University
Troy State University
University of Alabama:
Tuscaloosa
University of Montcvallo
ARIZONA
Arizona State University
Arizona Western College
Northern Arizona University
Pima Community College
University of Arizona
Yavapai College
ARKANSAS
University of Arkansas:
Fayetteville
Little Rock
Medical Science
CALIFORNIA
Cabrillo College
California State College:
Bakersfield
San Bernardino
Stanislaus
California State Polytechnic University;
Pomona
San Luis Obispo
California State University:
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northridge
Sacramento
San Diego
San Francisco
San Jose
College of Marin
College of the Sequoias
Contra Costa Community College
Foothill-Deanza District Community College
Humboldt State University
Merced College
San Jose City College
Sonoma State University
University of California;
Berkeley -
Davis
Irvine
Lawrence Berkeley Laboratory
Lawrence Livermore Laboratory
Los Angeles
Riverside
San Diego
San Francisco
Santa Barbara
Santa Cruz
West Valley College
Yosemite Community College
14
21
15
26
29
14
20
28
29
18
28
37
22
30
39
25
35
9
5
22
12
18
3
9
16
140
80
52
18
26S
101
23
34
72
38
26
10
6
36
12
6
1
17
9
17
14
33
27
5
11
3
11
10
12
3
14
12
14
15
9
5
12
8
17
11
14
15
10
8
22
6
22
15
17
5
15
15
25
14
19
6
25
10
8
1
4
1
18
4
11
1
11
7
2
1
5
4
9
7
68
72
47
33
19
33
10
8
15
250
59
42
13
10
22
12
27
45
26
12
15
11
9
I
5
1
COLORADO
Adams Stale College
Arapahoe Community College
Auraria Higher Education Center
Colorado School of Mines
Colorado State University
Red Rocks Community College
University of Colorado:
Boulder
Colorado Springs
Medical Center
University of Northern Colorado
University of Southern Colorado
CONNECTICUT
Central Connecticut State University .
Eastern Connecticut Stale University
University of Connecticut;
Avery Point
Health Center
Main Campus
Western Connecticut State University
Yale University
FLORIDA
Florida A & M University
Florida Atlantic University
Florida International University
Florida State University, Talahassee..
University of Central Florida
University of Florida
University of North Florida
University of South Florida:
Saint Petersburg
Sarasota ,
Tampa
University of West Florida
GEORGIA
Albany State College
Armstrong State College
Augusta College
Columbus College ,
Georgia Institute of Technology
Georgia Southern College ,
Georgia Southwestern College
Georgia State University
Kennesaw College
Medical College of Georgia
Savannah State College
South Georgia College
University of Georgia
Valdosta State College
West Georgia College
ILLINOIS
Black Hawk College
Chicago State University
College of DuPage
College of Lake County
Eastern Illinois University
Governors State University
Illmois State University
John A. Logan College
Joliet Junior College
Morton College
Northeastern Illinois University
Northern Illinois University
Rock Valley College
Sangamon Slate University
29
19
28
22
35
29
53
47
37
25
95
62
19
15
11
9
12
10
45
33
25
16
293
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1987 — Continued
University/College
ILLINOIS— Continued
Southern Illinois University:
Carbondale
Edwardsville
State Community College
Thornton Community College
Triton College
University of Illinois:
Chicago
Urbana
Waubonsee College
Western Illinois University
William Rainey Harper College
INDIANA
Indiana University:
Bloomington ...
Gary
Indianapolis ...
New Albany...
IOWA
Iowa State University
University of Iowa
University of Northern Iowa..
KANSAS
Emporia State University
Fort Hays Slate University
Kansas State University, Manhattan .
Pittsburg State University
University of Kansas:
Lawrence
Medical Center
Wichita State University
KENTUCKY
Eastern Kentucky 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
Northeast Louisiana University
Southeastern Louisiana University.
MAINE
University of Maine, Orono
University of Southern Maine
MARYLAND
Bowie State College
Coppin State College ,
Frostburg Slate College...
Morgan State University ,
Saint Mary's College
Salisbury Stale College ,,.
Towson State University
University of Baltimore...
University of Maryland:
Total
police
employees
Total
officers
43
21
5
12
14
61
18
44
I
7
21
10
7
6
Total
civilians
University/College
MARYLAND— Continued
Baltimore City
Baltimore County
College Park
Eastern Shore
MICHIGAN
Central Michigan University
Delta College
Eastern Michigan University
Ferins State College
Grand Valley Slate College
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University
Northern Michigan University
Oakland University
Saginaw Valley State College
University of Michigan, Flint
Western Michigan University
MINNESOTA
University of Minnesota
MISSISSIPPI
Mississippi State University
University of Mississippi
MISSOURI
University of Missouri:
Columbia
Saint Louis
Washington University
MONTANA
Montana State University
NEBRASKA
University of Nebraska, Lincoln
NEVADA
University of Nevada, Reno .
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Glassboro State College
Kean College
Middlesex County College
Monmouth College
Monlclair Stale College
New Jersey Institute of Technology
Rutgers University:
Camden
Newark
New Brunswick
Stockton Slate College
Trenton Slate College
University of Medicine and Dentistry:
Camden
Newark
Piscalaway
William Palerson College
Total
police
employees
100
27
73
10
45
Total
officers
28
13
20
10
34
25
26
IS
17
26
36
31
46
106
17
24
7
157
38
30
30
17
II
8
26
19
18
13
7
6
6
5
12
9
25
11
53
44
11
7
17
14
15
14
7
5
10
3
31
24
39
24
10
294
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1987 — Continued
University /College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
Total
civilians
NEW MEXICO
Eastern New Mexico University
New Mexico Stale University
University of New Mexico
Western New Mexico University
NEW YORK
Rensselaer Polytechnic Institute
Slate University of New York:
Albany
Amherst
Binghamton
Downstate Medical Center
Maritime College
Slony Brook
Upstate Medical Center
State University of New York
Agricultural and Technical College:
Alfred
Canton
Cobleskill
Delhi
Farmingdale
Morrisville
State University of New York College:
Brockport
Buffalo
Cortland
Environmental Science and Forestry
Fredonia
Geneseo
New Paltz
Old Westbury
Oneonta
Optometry
Oswego
Plaitsburgh
Potsdam
Purchase
Utica-Rome
NORTH CAROLINA
Appalachian Slate University
East Carolina University
North Carolina State University, Raleigh
University of North Carolina:
Asheville
Chapel Hill
Charlotte ,
Wilmington
Western Carolina University
NORTH DAKOTA
University of North Dakota
OHIO
Bowling Green University
Cleveland State University
Cuyahoga Community College
Kent State University
Lakeland Community College
Miami University
Ohio State University
University of Akron
University of Cincinnati
University of Toledo
Youngstown State University
25
42
6S
29
83
IS
114
51
27
19
8
43
34
9
37
26
11
36
28
8
9
5
4
40
34
6
58
48
10
32
24
8
91
49
42
32
25
7
27
23
4
OKLAHOMA
Central StaCc University
Northeastern Oklahoma State University
Oklahoma Stale University
Putnam City Campus
Tulsa Junior College
University of Oklahoma:
Norman
Health Science Center
OREGON
Oregon State University ,
PENNSYLVANIA
Bloomsburg University
California University
Cheyney University
Clarion University
East Stroudsburg University
Edmboro University
Elizabethtown College
Indiana University
Kutztown University
Lehigh University
Lincoln University
Lock Haven University
Mansfield University
Millersville University
Moravian College
Pennsylvania State University:
Altoona Campus
Behrend College
Capital Campus
McKeesport
University Park
Shippensburg University
Slippery Rock University
University of Pittsburgh. Bradford
West Chester University
RHODE ISLAND
University of Rhode Island
SOUTH CAROLINA
Clemson University
Medical University of South Carolina
University of South Carolina:
Columbia
Spartanburg
Trident Technical College
Wtnthrop College
TENNESSEE
Austin Peay State University
East Tennessee State University
Middle Tennessee State University
University of Tennessee:
Martin
Memphis
TEXAS
Angelo State University
Baylor University
Eastfield College
East Texas State University
Lamar University
McLennan Community College
Midwestern Slate University
18
26
22
35
28
108
69
75
59
7
6
20
18
22
15
10
8
29
17
8
7
19
14
20
12
5
1
8
7
295
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1987 — Continued
University/College
Total
police
employees
Tolal
officers
Tolal
civilians
University/College
Tolal
police
employees
Tolal
officers
Tolal
civilians
TEXAS— Continued
North Harris County College
North Texas State University
Pan American University
Richland College
Southern Methodist University
South Plains College
Southwestern University
Southwest Texas Stale University
Stephen F. Austin State University
Sul Ross Stale University
Texas A and M University
College Station
Galveston
Texas Aris and Industries
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas State Technical Institute:
Amarillo
Waco
Texas Tech. University
Texas Tech. Health Science Center
Texas Woman's University
University of Houston:
Central Campus
Clear Lake
Downtown Campus
University of Texas:
Arlington
Austin
Dallas
El Paso
Galveston
Health Science Center, San Antonio
Houston
Permian Basin
San Antonio
University of Texas Southwest
Medical School
UTAH
Brigham Young University
Salt Lake Community College
University of Utah
Utah Stale University
Utah Valley Community College
Weber State College
14
31
12
12
29
4
5
26
26
7
74
6
18
26
17
25
11
14
42
22
24
58
16
16
57
153
26
37
29
37
170
14
31
43
2
14
12
11
20
6
5
32
84
19
25
7
24
123
10
19
27
VIRGINIA
Christopher Newport College
College of William and Mary
George Mason University
James Madison University
Longwood College
Mary Washington College
Old Dominion University
Radford University
Thomas Nelson Community College..
University of Richmond
University of Virginia
Virginia Commonwealth University....
Virginia Polytechnic Institute and
Stale University
WASHINGTON
Central Washington University ,
Eastern Washington University ,
University of Washington ,
Washington Stale University
WEST VIRGINIA
Concord College
Glenville State College
Marshall University
West Liberty Stale College
West Virginia Institute of Technology
West Virginia State College
West Virginia University
WISCONSIN
University of Wisconsin:
Eau Claire
Green Bay
Madison
Milwaukee
Oshkosh
Parkside
Whitewater
WYOMING
University of Wyoming
24
10
18
27
17
11
10
23
14
8
14
50
43
32
10
7
58
17
5
4
19
6
7
7
37
10
1
37
32
11
6
11
1
7
9
3
1
4
11
3
I
14
22
29
20
2
10
57
3
1
3
4
296
Table 74. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1987
Coun(y by sUte
Tolal
police
employees
Tolal
olTiceR
Tolal
civilians
County by slate
Tolal
police
employees
Total
Tolal
officers
civilians
2OT
70
300
103
127
54
60
19
176
83
211
141
120
63
90
59
206
23
165
91
106
37
9
12
243
300
653
1,534
121
61
273
283
2,336
952
241
125
23
29
91
107
670
1,044
229
214
171
106
223
254
146
234
140
130
44
31
104
80
626
302
113
137
675
901
267
232
550
812
314
389
110
120
133
216
64
75
221
297
160
227
254
117
25
133
21
34
19
154
24
109
25
2
1
61
9
69
3
60
21
140
28
169
19
186
43
303
97
32
19
10
112
153
582
116
54
3
County by slate
Tolal
police
employees
Total
olTicers
Tolal
civilians
ALABAMA
Autaug*
Baldwin
Blount
Calhoun
Colbert
Dale
Elmore
Etowah
Houston
Jefferson
Lauderdale
Madison
Mobile
Montgomery
Russell
Shelby
Saint Clair
Tuscaloosa
Walker
ARIZONA
Maricopa
Pima
ARKANSAS
Crawford
Crittenden
Faulkner
Jefferson
Lonoke
Miller
Pulaski
Saline
Sebastian
Washington
CALIFORNIA
Alameda
Bulte
Contra Costa
El Dorado
Fresno
Kern
Los Angeles
Marin
Meiced
Monterey
Napa
Orange
Placer
Riverside
Sacramento
San Bernardino
San Diego
San Joaquin
San Mateo
Santa Barbara
Santa Clara
Santa Cruz
Shasu
Solano
Sonoma
Stanislaus
Sutter
Tulare
Ventura
Yok)
Yuba
21
92
21
43
30
17
22
49
91
471
37
86
228
165
50
61
21
94
39
1,537
824
21
35
21
47
18
17
248
32
44
44
1,148
81
643
186
402
899
5,906
230
104
351
71
1,849
246
1,121
1,218
1,409
1,709
515
454
337
1,129
137
226
250
253
206
102
441
839
135
55
21
34
15
24
19
II
13
24
31
382
22
63
124
142
19
44
15
71
31
396
329
14
9
33
9
14
106
20
19
43
758
48
477
116
277
535
4,432
151
76
270
57
1,041
166
611
871
1,000
1,084
327
360
229
824
101
151
87
179
129
81
363
540
60
39
58
6
19
11
6
9
25
60
89
15
23
104
23
31
17
6
23
1.141
495
13
21
12
14
9
3
142
12
25
1
390
33
166
70
125
364
1,474
79
28
81
14
808
80
510
347
409
625
188
94
108
305
36
75
163
74
77
21
78
299
75
16
COLORADO
Adams
Arapahoe
Boulder
Douglas
El Paso
Jefferson
Larimer
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
Saint Johns
Saint Lucie
Santa Rosa
Sarasota
Seminole
Volusia
GEORGIA
Barrow
Bibb
Catoosa
Chatham
Chatham Police
Department
Chattahoochee
Cherokee
Clarke
Clarke Police
Department
Clayton
Clayton Police
Department
Cobb
Cobb Police
Department
Cowela
Dade
DeKalb
DeKalb Police
Department
Dougherty
279
403
181
79
259
352
183
149
229
256
143
21
543
2,187
182
556
3,288
366
52
198
1,714
443
277
477
380
270
75
184
928
250
1,576
499
1,362
703
230
349
139
518
387
371
25
154
53
178
134
3
70
72
81
168
188
229
400
51
10
265
698
57
GEORGIA— Continued
Dougherty Police
Department
Douglas
Effingham
Fayette
Forsyth
Fulton
Fulton Police
Department
Gwinnett
Gwinetle Police
Department
Henry
Houston
Jackson
Jones
Lee
Madison
Muskogee
Oconee
Paulding
Peach
Richmond
Rockdale
Spalding
Walker
Walton
IDAHO
Ada
ILLINOIS
Boone
Champaign
Clinton
Cook
Du Page
Grundy
Henry
Jersey
Kane
Kankakee
Kendall
Lake
Macon
Madison
McHenry
McLean
Menard
Monroe
Peoria
Rock Island
Sangamon
Saint Clair
Tazewell
Will
Winnebago
Woodford
INDIANA
Allen
Clark
Dearborn
De Kalb
Delaware
Elkhart
Hamilton
Hancock
Harrison
Howard
Johnson
41
41
74
58
28
17
69
57
43
30
405
364
223
181
120
102
372
275
116
80
67
55
26
19
26
16
12
8
15
9
149
130
22
13
40
31
19
13
275
270
91
77
76
61
52
36
46
37
215
126
32
16
56
48
18
16
556
492
323
271
34
22
37
36
8
8
150
102
76
41
34
20
282
230
71
44
110
69
90
64
85
38
9
7
16
7
86
58
48
48
153
107
SI
51
34
31
263
211
180
101
22
15
190
120
39
29
23
13
35
10
47
37
110
54
56
37
32
21
20
7
57
33
45
35
297
Table 74. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1987 — Continued
County by stale
Total
police
employees
Total
ofTicers
Total
civilians
County by state
Total
police
employees
Total
officers
Total
civilians
County by state
Total
police
employees
Total
officers
INDIANA— Continued
Lake
Marion
Monroe
Porter
Saint Joseph
Tippecanoe
Tipton
Vanderburgh
IOWA
Black Hawk
Bremer
Dallas
Dubuque
Johnson
Linn
Polk
Pottawattamie
Scott
Warren
Woodbury
KANSAS
Butler
Jefferson
Johnson
Sedgwick
Shawnee
Wyandotte
KENTUCKY
Boone Police
Department
Boone
Bourbon
Boyd
Bullitt
Bullitt Police
Department
Campbell Police
Department
Carter
Christian
Christian Police
Department
Clark
Daviess
Greenup
Henderson
Jefferson Police
Department
Jessamine
Kenton Police
Department
Oldham
Oldham Police
Department
Scott
Scott Police Department
Shelby
Woodford
Woodford Police
Department
LOUISIANA
Ascension
Bossier
Caddo
Calcasieu
East Baton Rouge
323
683
55
83
158
70
17
129
74
II
18
40
54
118
161
53
106
25
77
34
23
193
220
107
89
25
10
14
507
113
94
358
314
535
185
491
55
38
117
32
6
99
49
10
10
34
36
83
124
30
38
13
29
32
21
160
133
85
71
16
5
14
398
110
91
358
314
535
138
192
45
41
38
11
30
109
LOUISIANA—
Continued
Jefferson
Lafayette
Lafourche
Livingston
Ouachita
Rapides
Saint Charles
Saint Martin
Saint Tammany
Terrebonne
West Baton Rouge
MAINE
Androscoggin
Cumberland
MARYLAND
Allegany
Allegany Investigator.
Anne Arundel
Anne Arundel Police
Department
Baltimore
Baltimore Police
Depariment
Calvert
Carroll
Cecil
Charles
Frederick
Harford
Howard
Howard Police
Department
Montgomery
Montgomery Police
Department
Prince Georges
Prince Georges Police
Department
Queen Anne's
Washington
MICHIGAN
Bay
Berrien
Calhoun
Clinton
Eaton
Genesee
Ingham
Jackson
Kalamazoo
Kent
Lapeer
Livingston
Macomb
Midland
Monroe
Muskegon
Oakland
Ottawa
Saginaw
Saint Clair
Washtenaw
Wayne
1,110
401
164
111
204
201
175
62
237
190
52
17
10
28
657
62
1,640
23
24
26
133
52
201
26
278
86
977
187
1,239
15
115
44
156
65
38
104
132
167
99
156
316
48
83
291
53
125
56
493
100
121
89
241
809
725
400
144
109
204
154
102
62
237
190
51
16
1
28
494
45
1,475
21
22
22
115
46
201
22
223
79
783
146
933
15
42
385
1
20
2
47
73
163
17
165
2
2
4
18
6
194
41
306
73
38
6
121
35
53
12
21
17
67
37
102
30
143
24
68
31
120
36
258
58
40
8
54
29
156
135
37
16
86
39
51
5
317
176
67
33
89
32
54
35
142
99
603
206
MINNESOTA
Anoka
Benton
Carver
Chisago
Clay
Dakota
Hennepin
Isanti
Olmsted
Ramsey
Saint Louis
Scott
Sherburne
Stearns
Washington
Wright
MISSISSIPPI
Harrison
Hinds
Jackson
MISSOURI
Boone
Buchanan
Cass
Clay
Franklin
Greene
Jasper
Lafayette
Platte
Ray
Saint Louis Police
Department
MONTANA
Cascade
Yellowstone
NEBRASKA
Dakota
Douglas
Lancaster
Sarpy
Washington
NEVADA
Washoe
NEW JERSEY
Atlantic
Atlantic Prosecutor
Bergen
Bergen Police
Department
Bergen Prosecutor
Burlington
Burlington Prosecutor
Camden
Camden Prosecutor
Cape May
Cape May Prosecutor
Cumberland
Cumberland Prosecutor
Essex
127
18
54
38
32
86
448
29
60
261
155
81
31
91
95
60
110
112
118
722
15
135
70
85
14
360
107
137
333
110
162
212
86
379
163
118
30
150
28
430
59
II
35
26
15
52
257
12
39
219
92
29
17
42
62
55
110
112
95
72
68
59
53
31
26
98
71
67
60
92
92
61
54
23
16
40
35
16
8
506
300
82
59
293
80
171
34
285
120
92
II
134
7
376
298
Table 74. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1987 — Continued
County by siatt
Total
police
employees
Total
olTicers
Total
civilians
County by slate
Total
police
employees
Total
ofTiceni
Total
civilians
County by state
Total
police
employees
Total
officers
Total
civilians
NEW JERSEY—
Continued
Essex Police
Depanment
Essex Prosecutor
Gloucester
Gloucester Prosecutor..
Hudson
Hudson Police
Department
Hudson Prosecutor
Hunterdon
Hunterdon Prosecutor
Mercer
Mercer Prosecutor
Middlesex
Middlesex Prosecutor.. -
Monmouth
Monmouth Prosecutor .
Morris
Morris Prosecutor
Ocean
Ocean Prosecutor
Passaic
Passaic Prosecutor
Salem
Salem Prosecutor
Somerset
Somerset Prosecutor
Sussex
Sussex Prosecutor
Union
Union Prosecutor
Warren
Warren Prosecutor
NEW MEXICO
Bernalillo
Dona Ana
Santa Fe
NEW YORK
Broome
Chemung
Dutchess
Erie
Livingston
Madison
Monroe
Niagara
Oneida
Ontario
Orange
Oswego
Rensselaer
Rockland
Saratoga
Schenectady
Suffolk
Tioga
Warren
Washington
Wayne
Westchester
NORTH CAROLINA
Alamance
Alexander
Buncombe
Burke
Cabarrus
Catawba
118
339
184
62
158
95
215
20
31
94
94
180
174
211
197
216
114
116
90
390
129
63
18
116
85
17
32
132
202
13
30
297
98
47
56
41
118
421
42
19
361
160
93
67
64
62
60
54
66
24
255
39
60
27
47
320
79
24
150
53
84
85
113
239
127
38
129
79
189
56
31
43
33
97
326
38
13
237
149
83
47
62
51
38
48
47
16
151
37
56
21
41
275
59
14
138
36
84
82
5
100
57
24
29
16
127
14
6
19
12
78
16
60
34
134
46
101
73
192
19
85
112
159
57
73
41
69
47
62
28
320
70
91
38
52
11
7
11
85
31
55
30
13
4
23
9
112
20
III
91
II
2
16
14
108
42
16
21
95
4
6
124
II
10
20
2
II
22
6
19
8
104
2
4
6
6
45
NORTH CAROLINA-
Continued
Cumberland
Davidson
Davie
Durham
Forsyth
Franklin
Gaston
Guilford
Lincoln
Mecklenburg
New Hanover
Onslow
Orange
Randolph
Rowan
Stokes
Union
Wake
Yadkin
NORTH DAKOTA
Burleigh
Cass
Grand Forks
Morton
OHIO
Allen
Auglaize
Belmont
Butler
Clark
Clermont
Delaware
Fairfield
Franklin
Fulton
Geauga
Greene
Hamilton
Jefferson
Lake
Licking
Lorain
Lucas
Madison
Mahoning
Miami
Montgomery
Pickaway
Richland
Stark
Trumbull
Union
Warren
Washington
Wood
OKLAHOMA
Canadian
Cleveland
Comanche
Creek
Garfield
Logan
McClain
Oklahoma
Osage
Pottawatomie
Rogers
263
96
25
127
193
28
89
251
37
174
153
99
70
71
86
33
60
239
25
80
30
32
99
125
130
41
61
551
26
41
79
741
36
73
112
125
334
22
67
49
248
38
57
153
46
28
70
38
54
26
83
43
20
18
11
11
151
20
21
19
216
62
23
99
184
14
80
212
29
143
118
66
61
58
72
26
47
167
19
52
28
20
82
114
53
35
52
437
16
21
67
660
26
35
91
47
222
17
56
32
173
34
39
76
22
23
48
15
52
28
2
12
17
11
77
6
9
114
10
20
12
81
10
38
21
78
112
5
II
17
75
4
18
77
24
5
22
23
2
OKLAHOMA—
Continued
Sequoyah
Tulsa
Wagoner
OREGON
Clackamas
Jackson
Lane
Marion
Multnomah
Polk
Washington
Yamhill
PENNSYLVANIA
Allegheny Police
Department
Allegheny
Beaver
Centre
Chester Detective
Cumberland
Delaware
Montgomery Detective
Washington
Westmoreland Detective . .
SOUTH CAROLINA
Aiken
Anderson
Berkeley
Charleston Police
Department
Dorchester
Florence
Greenville
Lexington
Pickens
Richland
Spartanburg
York
SOUTH DAKOTA
Minnehaha
Pennington
TENNESSEE
Anderson
Carter
Dickson
Grainger
Hamilton
Jefferson
Knox
Madison
Marion
Montgomery
Robertson
Rutherford
Sevier
Shelby
Sullivan
Sumner
Unicoi
Union
Williamson
9
220
10
133
57
87
75
163
15
111
35
260
140
17
10
18
15
27
32
19
13
9
134
5
106
41
59
59
98
11
85
28
220
119
13
9
16
15
25
20
14
10
98
76
92
72
63
44
219
163
62
42
68
55
257
219
162
111
60
53
251
212
168
159
81
60
49
42
33
29
38
20
13
8
222
176
25
13
388
152
46
46
24
14
96
86
41
32
75
39
41
34
1,017
405
154
161
68
39
25
16
11
5
46
39
299
Table 74. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1987— Continued
County by slate
TEXAS
Bell
Bexar
Bowie
Brazoria
Brazos
Cameron
Collin
Comal
Coryell
Dallas
Denton
Ector
Ellis
El Paso
Fort Bend
Galveston
Grayson
Gregg
Guadalupe
Hardin
Harris
Harrison
Hays
Hidalgo
Jefferson
Johnson
Kaufman
Liberty
Lubbock
McLennan
Midland
Montgomery
Nueces,
Orange
Parker
Potter
Randall
Rockwall
San Patricio
Smith
Tarrant
Taylor
Tom Green -
Travis ..
Victoria
Waller
Webb
Wichita
Williamson
Total
police
employees
Total
officers
141
793
30
187
84
184
137
71
19
1,260
162
101
74
445
167
204
63
90
27
27
1,764
39
39
241
188
56
39
52
128
130
81
280
193
79
41
135
55
21
48
136
667
86
60
463
70
29
290
88
77
Total
civilians
51
480
27
82
24
38
68
28
8
436
74
56
24
172
132
169
50
52
18
15
1,138
25
26
113
62
22
1
38
75
45
58
210
120
42
25
93
28
12
32
45
158
55
53
130
29
10
11
30
42
County by stale
90
313
3
105
60
146
69
43
11
824
88
45
50
273
35
35
13
38
9
12
626
14
13
128
126
34
21
14
53
85
23
70
73
37
16
42
27
9
16
91
509
31
7
333
41
19
172
58
35
UTAH
Davis
Salt Lake
Utah
Weber
VIRGINIA
Albemarle Police
Department
Amherst
Botetourt
Campbell
Charles City
Chesterfield Police
Department
Dinwiddle
Fairfax Police
Department
Fluvanna
Gloucester
Goochland
Greene
Hanover
Henrico Police
Department
James City Police
Department
Loudoun
New Kent
Pittsylvania
Powhatan
Prince George
Prince William Police
Department
Roanoke
Scott
Stafford
Washington
York
Total
police
employees
WASHINGTON
Benton...
Clark
FrankUn..
Kmg
Kitsap
Pierce
Total
officers
113
561
89
84
67
34
40
51
12
305
38
1.085
11
46
16
12
82
460
38
157
16
73
15
40
342
174
36
56
47
59
41
116
23
695
74
220
Total
-■ivilians
91
338
67
37
58
31
34
48
6
244
30
832
8
39
13
8
73
337
35
126
10
62
11
33
251
139
29
53
39
53
31
93
14
512
62
172
County by slate
WASHINGTON-
Continued
22
223
22
47
253
3
7
3
4
9
123
3
31
6
11
4
7
91
35
7
3
10
23
9
183
12
48
Snohomish .
Spokane
Thurston
Whatcom
Yakima
WEST VIRGINIA
Total
police
employees
Brooke
Cabell
Hancock .
Kanawha
Marshall
Mineral .
Ohio
Putnam...
Wayne
Wood
WISCONSIN
Brown
Calumet
Chippewa
Dane
Eau Claire...
Kenosha
Marathon ...
Milwaukee ...
Outagamie ...
Ozaukee
Racine
Saint Croix.
Sheboygan ..
Washington .
Waukesha ....
Winnebago ..
WYOMING
Laramie .
Natrona .
Total
officers
185
205
84
44
92
24
71
25
115
29
13
28
17
22
54
155
29
30
251
52
137
85
548
90
58
178
33
113
79
236
97
Total
civilians
133
141
62
34
67
116
20
20
207
44
86
59
425
49
43
158
33
70
66
136
77
52
64
22
10
25
12
39
8
64
12
9
10
2
11
26
39
10
44
26
123
41
15
20
43
13
100
20
24
12
300
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987
Counly by slalc
Total
police
employees
Total
Total
ofTicers
civilians
8
5
5
1
13
9
8
9
10
12
5
11
9
5
4
7
4
4
8
10
6
9
9
5
6
41
5
35
4
13
7
16
13
7
4
9
8
5
7
7
7
5
4
4
4
17
13
13
6
25
27
16
11
4
10
10
10
8
8
7
7
20
15
10
12
31
24
4
1
5
5
7
6
6
6
5
1
19
19
13
6
7
5
10
3
19
11
61
72
79
27
70
39
13
9
12
9
28
10
43
19
34
26
103
104
17
15
59
67
8
6
8
14
7
19
18
8
7
4
4
6
7
9
8
7
9
10
5
4
17
5
3
4
County by state
Total
police
employees
Total
ofTicers
Total
civilians
County by state
Total
police
employees
Total
officers
Total
civilians
ALABAMA
Barbour
Butler
Chambers
Cherokee
Chilton
Choctaw
Clarke
Clay
Cleburne
Coffee
Coosa
Covington
Crenshaw
Cullman
Dallas
De Kalb
Escambia
Fayette
Franklin
Geneva
Greene
Hale
Henry
Jackson
Lawrence
Lee
Limestone
Lowndes
Macon ,
Marengo
Manon ,
Marshall
Monroe
Morgan
Perry
Pickens
Pike
Randolph
Sumter
Talladega
Tallapoosa
Wilcox
Winston
ARIZONA
Apache
Cochise
Coconino
Gila
Graham
Greenlee
Lapaz
Mohave
Navajo
Pinal
Santa Cruz
Yavapai
ARKANSAS
Arkansas
Ashley
Baxter
Benton
Boone
Bradley
Calhoun
Carroll
Chicot
Clark
Clay
Cleburne
Cleveland
30
133
106
109
22
21
38
62
60
207
32
126
ARKANSAS—
Continued
Columbia
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
Saint Francis
Scott
Searcy
Sevier
Sharp
Stone
Union
Van Buren
White
Woodruff
Yell
CALIFORNIA
Alpine
Amador
Calaveras
Colusa
Del Norte
Glenn
Humboldt
Imperial
Inyo
Kings
Lake
Lassen
Madera
Mariposa
Mendocino
Modoc
Mono
Nevada
14
48
43
36
39
49
143
185
49
91
80
31
58
24
91
17
22
100
II
32
33
27
20
24
74
113
38
66
57
21
42
22
71
12
20
75
CALIFORNIA—
Continued
Plumas
San Benito
San Luis Obispo
Sierra
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
La Plata
Lake
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 Solo
Dixie
51
23
214
]}
44
62
45
67
31
14
8
7
20
10
29
11
5
3
3
37
8
50
21
33
14
10
29
13
3
16
2
10
52
15
15
10
20
120
3
29
27
29
36
16
3
19
3
33
6
18
15
31
9
4
g
6
39
28
12
6
32
16
214
163
94
62
25
33
19
111
9
42
44
35
49
23
6
11
5
3
3
25
12
5
3
50
19
2
18
15
11
3
5
5
14
15
13
2
1
14
2
9
1
41
11
8
7
15
10
17
3
50
70
3
25
4
24
3
27
2
36
16
3
12
7
3
30
3
6
12
6
8
7
22
9
9
3
1
8
131
98
72
46
16
301
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — 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
FLORIDA— Continued
Flagler
Franklin
Gilchrist
Glades
Gulf
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
Banks
Bartow
Ben Hill
Berrien
Brantley
Brooks
Bryan
Bulloch
Calhoun
Candler
Carroll
Charlton
Chattooga
Clay
Clinch
CofTee
Colquitt
Cook
Crawford
Crisp
Dawson
Decatur
Dodge
Dooly
Early
Elbert
Emanuel
Fannin
Floyd Police
Department
Franklin
Gilmer
Gilmer Police
Department
Glynn Police
Department
Gordon
Grady
Greene
53
31
22
31
26
46
54
87
139
23
185
52
24
10
222
32
14
29
288
117
130
59
31
31
17
32
61
34
105
36
18
13
31
17
9
14
12
32
34
40
61
8
113
20
9
5
99
27
6
26
135
38
62
32
28
16
6
17
32
13
22
14
13
17
14
14
20
47
78
15
72
32
15
5
123
5
8
3
153
79
68
27
3
15
11
15
29
21
GEORGIA— Continued
Greene Police
Department
Hall
Hancock
Haralson
Harris
Hart
Heard
Irwin
Jasper
JefT Davis
Jenkins
Johnson
Lamar
Lanier
Laurens
Lincoln
Lowndes
Lumpkin
Macon
Marion
Mcintosh
Miller
Mitchell
Montgomery
Murray
Oglethorpe
Pickens
Pierce
Pike
Polk
Polk Police Department
Pulaski
Putnam
Quitman
Rabun
Schley
Seminole
Stephens
Stewart
Sumter,....
Taliaferro
Tattnall
Telfair
Thomas
Tift
Toombs
Towns
Treutlen
Troup
Turner
Twiggs
Union
Upson
Ware
Ware Police
Department
Wayne
Webster
Wheeler
White
Whitfield
Wilcox
Wilkes
Wilkinson
Worth
7
135
8
30
26
19
5
5
II
8
5
6
11
8
25
8
89
13
9
6
17
9
11
7
22
II
19
9
8
12
18
10
33
2
13
2
9
14
6
24
2
12
11
33
21
10
9
8
41
4
8
6
19
38
5
19
3
3
13
86
9
9
10
14
6
126
27
3
17
9
14
5
5
S
7
4
7
1
3
2
5
1
11
5
3
19
6
4
4
51
38
11
2
8
1
2
4
12
5
9
II
3
4
18
4
7
4
10
9
5
4
6
2
5
7
13
5
4
6
16
17
2
n
7
6
3
12
2
2
4
19
5
2
7
5
6
5
23
10
18
3
10
5
4
4
4
39
2
4
5
3
5
1
19
32
6
3
2
19
2
1
2
1
8
5
47
39
4
5
7
2
7
3
8
6
HAWAII
Hawaii Police
Department
Kauai Police
Department
Maui Police
Department
IDAHO
Adams
Bannock
Bear Lake
Benewah
Bingham
Blaine
Boise
Bonner
Bonneville
Boundary
Butte
Camas
Canyon
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 Kalb
De Witt
Douglas
Edgar
Edwards
EfTrngham
Fayette
180
147
290
159
124
227
9
9
58
57
9
3
11
11
32
26
21
21
8
7
40
30
62
62
16
16
3
3
3
3
76
63
10
10
39
32
5
2
24
17
11
7
20
19
8
5
17
17
17
16
14
8
27
26
18
11
16
16
106
66
30
29
10
6
17
17
24
24
31
30
9
5
12
7
25
25
17
12
27
27
7
7
42
18
21
16
12
12
44
17
6
4
15
6
8
5
25
24
7
3
15
11
5
5
32
16
11
11
12
7
38
36
13
7
9
5
52
51
16
12
20
11
21
16
13
6
18
18
13
6
302
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
Counly by state
Total
fvtlice
employees
Total
officeni
Total
civilians
Counly by state
Total
police
employees
Total
officci^
Total
civilians
County by state
Total
police
employees
Total
officei^
Total
civilians
ILLINOIS— Continued
Ford
Franklin
Fulton
Gallatin
Greene
Hamilton
Hancock
Hardin
Henderson
Iroquois
Jackson
Jasper
Jefferson
Jo Daviess
Johnson
Knox
La Salle
Lawrence
Lee
Livingston
Logan
Macoupin
Marion
Marshall
Mason
Massac
McDonough
Mercer
Montgomeiy
Morgan
Moullne
Ogle
Perry
Piatt
Pike
Pope
Pulaski
Putnam
Randolph
Richland
Saline
Schuyler
Scott
Shelby
Stark
Stephenson
Union
Vermilion
Wabash
Warren
Washington
Wayne
White
Whiteside
Williamson
INDIANA
Adams
Benton
Blackford
Brown
Cass
Daviess
Decatur
Dubois
Fountain
Franklin
Gibson
Grant
Jackson
Jasper
Jefferson
Jennings
INDIANA— Continued
Knox
Lagrange
La Porte
Lawrence
Marshall
Martin
Montgomery
Newton
Noble
Ohio
Parke
Pike
Pulaski
Ripley
Rush
Starke
Steuben,.
Union
Wabash
Washington
Wayne
IOWA
Adair
Adams
Allamakee
Appanoose
Audubon
Benton
Boone
Buchanan
Buena Vista
Butler
Calhoun
Carroll
Cass
Cedar
Cerro Gordo
Cherokee
Chickasaw
Clarke
Clay
Clayton
Clinton
Crawford
Davis
Decatur
Delaware
Des Moines
Dickinson
Emmet
Fayette
Floyd
Franklin
Fremont
Greene
Grundy
Guthrie
Hamilton
Hancock
Hardin
Harrison
Henry
Howard
Humboldt
Ida
Iowa
Jackson
Jasper
JefTerson
Jones
Keokuk
Kossuth
19
22
103
23
28
7
18
18
24
4
13
9
IS
14
21
19
30
II
25
17
28
IOWA— Continued
Ue
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
Winnebago
Winneshiek
Worth
Wright
KANSAS
Anderson
Bourbon
Chase
Chautauqua
Cherokee
Cheyenne
Clark
Coffey
Comanche
Cowley
Decatur
Doniphan
Edwards
Elk
Ellis
Finney
Franklin
Gove
Graham
Grant
Gray
Hamilton
Harvey
Haskell
Jackson
Jewell
Kingman
Kiowa..
Labette
Lane
Lincoln
Linn
Logan
27
12
11
7
9
3
10
7
9
5
14
8
17
9
16
6
14
5
7
6
11
5
5
4
14
5
21
16
13
7
12
9
10
7
6
5
14
7
9
5
10
6
8
2
9
6
6
5
16
10
34
24
14
9
8
4
11
3
8
4
14
6
25
12
7
3
30
14
7
4
11
9
10
5
6
5
3
3
5
5
8
3
7
4
18
14
4
3
8
5
20
8
5
2
19
18
7
2
8
4
6
2
5
2
18
11
49
46
18
8
3
2
7
7
11
6
6
4
9
4
17
17
10
4
10
10
8
8
6
5
12
12
13
6
8
4
10
6
9
9
2
1
303
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
County by stale
Total
police
employees
Total
officers
Total
civilians
County by slate
Total
police
employees
Total
officers
Tolal
civilians
County by state
Total
police
employees
Total
officers
KANSAS— Continued
Lyon
Marion
Marshall
McPherson
Meade
Mitchell
Morris
Morion
Nemaha
Neosho
Norton
Osage
Ottawa
Pawnee
Pottawatomie
Pratt
Reno
Republic
Rice
Riley Police
Department
Russell
Saline
Scott
Seward
Sherman
Smith
StafTord
Stanton
Sumner
Thomas
Trego
Wallace
Washington
Wichita
Wilson
KENTUCKY
Adair
Allen
Anderson
Anderson Patrol
Ballard
Barren
Bath
Bell
Boyle
Bracken
Breathitt
Breckinridge
Butler
Caldwell
Calloway
Carlisle
Carroll
Casey
Clay
Clinton
Crittenden
Cumberland
Edmonson
Elliott
Estill
Fleming
Floyd
Franklin
Fulton
Gallatin
Garrard
Grant
Graves
Grayson
Green
103
16
39
3
14
11
7
8
9
14
7
7
2
KENTUCKY—
Continued
Hancock
Hardin
Harian
Harrison
Hart
Henry
Hickman
Hopkins
Jackson
Johnson
Knott
Knox
Larue
Laurel
Lawrence
Leslie
Letcher
Lewis
Lincoln
Livingston
Logan
Lyon
Lyon Police
Department
Madison
Magoffin
Marion
Marshall
Martin
Mason
McCracken
McCracken Police
Department
McCreary
McLean
Meade
Menifee
Mercer
Metcalfe
Monroe
Montgomery
Morgan
Muhlenberg
Nelson
Nelson Police
Department
Nicholas
Ohio
Owen
Owsley
Pendleton
Perry
Pike
Powell
Pulaski
Robertson
Rockcastle
Rowan
Russell
Simpson
Spencer
Taylor
Taylor Patrol
Todd
Trigg
Trimble ,
Union
Warren
Washington
Wayne
Webster
Whitley
Wolfe
LOUISIANA
Acadia
Allen
Assumption
Avoyelles
Beauregard
Caldwell
Claiborne
Evangeline
Grant
Iberia
Iberville
Jackson
La Salle
Lincoln
Madison
Morehouse
Natchitoches
Plaquemines
Red River
Saint Mary
Tangipahoa
Tensas
Union
Vemiillon
Washington
West Carroll
MAINE
Aroostook
Franklin
Hancock
Kennebec
Knox
Lincoln
Oxford
Penobscott
Piscataquis
Sagadahoc
Somerset
Waldo
Washington
York
MARYLAND
Caroline
Dorchester
Garrett
Kent
Saint Mary's
Somerset
Talbol
Wicomico
Worcester
MICHIGAN
Alcona
Alger
Allegan
Alpena
Antrim
Arenac
Baraga
Barry
Benzie
Branch
Cass
Charlevoix
Cheboygan
Chippewa
Clare
Crawford
75
74
38
36
44
35
125
125
51
51
22
22
19
19
76
76
30
21
98
98
136
40
30
30
44
39
30
28
17
17
42
42
49
49
141
141
37
37
111
111
193
193
17
17
24
24
75
75
62
62
17
17
11
10
10
9
13
8
17
11
12
11
18
10
15
11
23
16
11
6
13
12
10
10
11
10
15
10
15
13
41
13
28
22
24
22
31
8
53
48
6
6
10
9
44
35
23
20
304
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — 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
MICHIGAN-
Continued
Delta
Dickinson
Emmet
Gladwin
Gogebic
Grand Traverse..
Gratiot
Hillsdale
Houghton
Huron
Ionia
Iosco
Iron
Isabella
Kalkaska
Keweenaw
Lake
Leelanau
Lenawee
Luce
Mackinac
Manistee
Marquette
Mason
Mecosta
Menommee
Missaukee
Montcalm
Montmorency
Newaygo
Oceana
Ogemaw
Ontonagon
Osceola
Oscoda
Otsego
Presque Isle
Roscommon
Saint Joseph
Sanilac
Schoolcraft
Shiawassee
Tuscola
Van Buren
Wexford
MINNESOTA
Aitkin
Becker
Beltrami
Big Stone ...
Blue Earth .
Brown
Carlton
Cass
Chippewa...
Clearwater..
Cook
Cottonwood
Crow Wing
Dodge
Douglas
Faribault
Fillmore
Freeborn
Goodhue
Grant
Houston
Hubbard
Itasca
Jackson
Kanabec
MINNESOTA-
Continued
Kandiyohi
Kittson
Koochiching
Lac Qui Parle
Lake
Lake-of-the- Woods .
Le Sueur
Lincoln
Lyon
Mahnomen
Marshall
Martin
McLeod
Meeker
Mille Lacs
Morrison
Mower
Murray
Nicollet
Nobles
Norman
Otter Tail
Pennington
Pine
Pipestone
Polk
Pope
Red Lake
Redwood
Renville
Rice
Rock
Roseau
Sibley
Steele
Stevens
Swift
Todd
Traverse
Wabasha
Wadena
Waseca
Watonwan
Wilkin
Winona
Yellow Medicine ,
MISSISSIPPI
Alcorn
Benton
Bolivar
Carroll
Chickasaw
Choctaw
Claiborne
Clarke
Clay
Copiah
Covmgton
Franklin
George
Greene
Holmes
Humphereys
Issaquena
Itawamba
Jasper
Jefferson Davis
Jones
Lamar
Lauderdale
Lawrence
Mississippi-
Continued
Lee
Lincoln
Marshall
Montgomery
Neshuba
Newton
Noxubee
Oktibbeha
Pearl River
Perry
Pontotoc
Prentiss
Quitman
Scott
Sharkey
Simpson
Sunflower
Tate
Tippah
Union
Walthall
Warren
Washington
Wayne
Webster
Wilkinson
Winston
Yalobusha
MISSOURI
Andrew
Atchison
Audrain
Barry
Barton
Bates
Benton
Bollinger
Caldwell
Camden
Cape Girardeau
Carroll
Cedar
Chariton
Cole
Cooper
Crawford
Dallas
Daviess
De Kalb
Douglas
Dunklin
Gasconade
Gentry
Grundy
Harrison
Holt
Howell
Iron
Johnson
Knox
Laclede
Linn
Livingston
Madison
Maries
Marion
McDonald
Mercer
Montgomery
New Madrid
Nodaway
27
25
9
9
8
4
7
7
5
4
10
5
9
3
13
12
20
18
3
2
8
5
10
10
6
3
9
6
7
4
14
14
11
7
10
6
5
5
7
6
6
6
47
44
31
17
6
4
7
3
6
4
8
4
9
4
7
7
11
U
16
16
9
9
7
7
6
6
11
10
6
3
6
3
20
20
27
25
10
6
8
4
8
7
33
25
5
5
13
13
7
4
5
4
5
2
5
2
15
13
7
3
3
3
7
3
9
6
9
9
15
14
12
9
13
13
5
2
14
13
3
3
8
8
4
2
3
3
13
13
12
11
6
3
12
12
15
15
13
12
305
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
County by stale
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
MISSOURI— Continued
Oregon
Osage
Ozark
Perry
Pike
Polk
Pulaski
Randolph
Reynolds
Ripley
Saint Clair
Saint Francois
Sainte Genevieve
Saline
Schuyler
Scotland
Scott
Shelby
Sullivan
Vernon
Warren
Webster
Worth
MONTANA
Beaverhead
Big Horn
Blame
Broadwater
Carbon
Carter
Chouteau
Custer
Daniels
Dawson
Deer Lodge
Fallon
Fergus
Flathead
Gallatin
Garfield
Glacier
Golden Valley
Granite
Hill
Jefferson
Judith Basin
Lake
Lewis and Clark
Liberty
Lincoln
Madison
McCone
Meagher
Mineral
Missoula
Musselshell
Park
Petroleum
Phillips
Pondera
Powder River
Powell
Prairie
Ravalli
Richland
Roosevelt
Rosebud
Sanders
Sheridan
Silver Bow
Stillwater
Sweet Grass
MONTANA— Continued
Teton
Toole
Treasure
Valley
Wheatland
Wibaux
NEBRASKA
Adams
Antelope
Arthur
Banner
Blaine
Boone
Box Butte
Boyd
Brown
Buffalo
Burt
Butler
Cass
Cedar
Chase
Cherry
Cheyenne
Clay
Colfax
Cuming
Custer
Dawes
Dawson
Deuel
Dixon
Dodge
Dundy
Fillmore
Franklin
Frontier
Furnas
Gage
Garden
Garfield
Gosper
Greeley
Hall
Hamilton
Harlan
Hayes ;
Hitchcock
Holt
Hooker
Howard
Jefferson
Johnson
Kearney
Keith
Keya Paha
Kimball
Knox
Lmcoln
Logan
Loup
Madison
McPherson
Merrick
Morrill
Nance
Nemaha
Nuckolls
Otoe
Pawnee
Perkins
Phelps
10
6
17
10
3
2
15
8
9
4
4
i
18
29
6
3
3
6
1
4
4
1
6
4
8
24
19
1
13
8
4
4
4
3
2
6
2
5
NEBRASKA—
Continued
Pierce
Platte
Polk
Red Willow
Richardson
Rock
Saline
Saunders
Scotts Bluff
Seward
Sheridan
Sherman
Sioux
Stanton
Thayer
Thomas
Thurston
Valley
Wayne
Webster
Wheeler
York
NEVADA
Churchill
Elko
Esmeralda
Humboldt
Lincoln
Lyon
Pershing
Storey
NEW HAMPSHIRE
Belknap
Carroll
Cheshire
Grafton
Merrimack
Sullivan
NEW MEXICO
Catron
Cibola
Curry
De Baca
Eddy
Grant
Guadalupe
Harding
Lea
Luna
Mora
Roosevelt
Sandoval
San Juan
Sierra
Socorro
Taos
Torrance
Union
Valencia
NEW YORK
Allegany
Cayuga
Chautauqua
Chenango
Clinton
22
21
12
10
10
13
6
27
21
38
38
12
8
26
18
15
12
43
32
15
9
16
16
18
17
16
12
8
6
15
8
20
13
7
5
7
3
15
9
12
9
5
4
43
22
38
25
3
3
2
2
44
27
22
17
8
4
20
8
27
21
44
34
21
q
18
13
19
12
19
8
4
3
20
14
4
4
30
19
77
67
21
12
17
13
306
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
County by state
Toial
police
employees
Tolal
officers
Total
civilians
II
8
3
26
24
2
45
32
13
19
15
4
16
15
I
30
19
11
22
22
51
38
13
40
30
10
42
32
10
28
|9
9
7
7
27
19
8
23
14
9
21
20
1
36
23
13
16
12
4
38
21
17
5')
46
13
60
35
25
3
2
1
40
31
9
28
17
11
52
30
22
19
11
8
11
6
5
9
7
2
61
42
19
46
33
13
75
43
32
23
15
8
38
29
9
32
22
10
39
27
12
4
4
24
21
3
16
16
47
26
21
66
44
22
45
38
7
64
52
12
23
13
10
26
22
4
17
8
9
60
53
7
27
26
1
40
33
7
II
6
5
42
28
14
51
30
21
22
19
3
14
11
3
35
27
8
27
18
9
53
35
18
49
35
14
28
9
19
8
8
12
11
1
29
19
10
7
5
2
23
20
3
76
58
18
20
13
7
46
26
20
93
63
30
72
66
6
39
29
10
52
37
15
29
22
7
County by stale
Total
police
employees
Total
officers
Total
civilians
County by state
Tola!
police
L*mployees
Total
ofTiccrs
Total
civilians
NEW YORK-
Continued
NORTH CAROLINA
NORTH CAROMNA-
Continued
Stanly
Surry
Swain
Transylvania
Tyrrell
Vance
Warren
Washington
Watauga
Wayne
Wilkes
Wilson
Yancey
NORTH DAKOTA
Adams
Barnes
Benson
Billings
Bollmeau
Bowman
Burke
Cavalier
Dickey
Divide
Dunn
Eddy
Emmons
Foster
Golden Valley .
Grant
Griggs
Heltmger
Kidder
La Moure
Logan
McHenry
Mcintosh
McKenzie
McLean
Mercer
Mountrail
Nelson
Oliver
Pembma
Pierce
Ramsey
Ransom
Renville
Richland
Rolette
Sargent
Sheridan
Slope
Stark
Steele
Stutsman
Towner ,
Traill
Walsh
Ward
Wells
Williams
OHIO
Ashland ,
Ashtabula
Champaign
Columbiana
Coshocton
Crawford
OHIO— Continued
Darke
Defiance
Erie
Fayette
Gallia
Hardin
Harrison
Henry
Hocking
Holmes
Huron
Jackson
Logan
Marion
Mercer
Monroe
Morgan
Morrow
Muskingum
Ottawa
Perry
Pike
Prebie
Putnam
Ross
Sandusky
Scioto
Shelby
Tuscarawas
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
50
21
20
18
44
27
25
23
26
24
22
20
9
8
21
21
16
10
19
16
32
20
14
8
40
34
34
26
28
24
14
13
16
10
20
15
44
32
37
32
14
5
11
11
25
20
26
23
42
38
38
26
27
22
29
29
28
21
19
19
10
5
57
50
29
23
14
6
11
5
7
4
9
5
12
8
13
13
8
5
20
6
17
8
22
21
21
14
9
4
9
3
6
4
9
4
12
6
16
16
16
10
11
7
15
7
12
6
21
13
8
4
5
4
3
3
6
3
tl
6
10
9
13
7
6
3
9
9
28
10
10
6
8
4
9
5
16
8
12
6
6
6
307
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
County by slate
Total
police
employees
Total
otTlcei^
Total
civilians
County by slate
Total
police
employees
Total
officers
Total
civilians
County by state
Total
police
employees
Total
officers
OKLAHOMA—
Continued
Major
Marshall
Mayes
McCurtaIn
Mcintosh
Murray
Muskogee
Noble
Nowata
Okfuskee
Okmulgee
Ottawa
Pawnee
Payne
Pittsburg
Pontotoc
Pushmataha
Roger Mills
Seminole
Stephens
Texas
Tillman
Washington
Washita
Woods
Woodward
OREGON
Baker
Benton
Clatsop
Columbia
Coos
Crook
Curry
Deschutes
Douglas
Gilliam
Grant
Harney
Hood River
Jefferson
Josephine
Klamath
Lake
Lincoln
Linn
Malheur
Morrow
Sherman
Tillamook
Umatilla
Union
Wallowa
Wasco
Wheeler
PENNSYLVANIA
Clearfield
Jefferson
Tioga
Warren
SOUTH CAROLINA
Abbeville
Allendale
Bamberg
Barnwell
Beaufort
Calhoun
23
7
7
7
107
9
SOUTH CAROLINA-
Continued
Cherokee
Chester
Chesterfield
Clarendon
Colleton
Darlington
Dillon
Edgefield
Fairfield
Georgetown
Greenwood
Hampton
Horry Police
Department
Jasper
Kershaw
Lancaster
Laurens
Lee
Marion
Marlboro
McCormick
Newberry
Oconee
Orangeburg
Saluda
Sumter
Union
Williamsburg
SOUTH DAKOTA
Aurora
Bon Homme
Brown
Brule
Buffalo
Charles Mix
Clark
Clay
Custer
Day
Deuel
Edmunds
Grant
Haakon
Harding
Hughes
Hutchinson
Hyde
Jackson
Jones
Lake
Lawrence
Lincoln
Lyman
Marshall
Miner
Moody
Potter
Spink
Sully
Union
Yankton
TENNESSEE
Benton
Bradley
Carroll
Chester
Claiborne
Cocke
TENNESSEE—
Continued
Crockett
Cumberland
Decatur
Fayette
Fentress
Franklin
Gibson
Giles
Greene
Hamblen
Hancock
Hardeman
Hardin
Haywood
Henderson
Henry
Houston
Humphreys
Lauderdale
Lawrence
Lincoln
McMinn
McNairy
Monroe
Moore
Morgan
Overton
Perry
Roane
Smith
Stewart
Trousdale
Van Buren
Warren
Weakley
White
TEXAS
Anderson
Andrews
Angelina
Aransas
Archer
Armstrong
Atascosa
Austin
Bailey
Bandera
Bastrop
Baylor
Bee
Blanco
Borden.....
Bosque
Brewster
Briscoe
Brooks
Brown
Burleson
Burnet
Caldwell
Calhoun
Callahan
Camp
Carson
Cass
Casiro
Chambers
Cherokee
Childress
Clay
Cochran
18
10
27
22
10
10
21
15
16
8
28
15
35
29
21
12
27
26
37
34
14
14
23
13
17
17
10
9
23
9
31
29
9
5
12
6
16
14
30
28
15
9
35
31
15
9
21
21
4
4
16
15
17
10
10
5
31
18
14
7
11
6
10
4
8
4
33
29
22
15
20
13
32
15
17
10
41
23
28
13
10
8
25
13
27
8
12
29
15
6
19
10
10
10
11
3
12
17
11
14
36
25
24
25
17
10
9
10
22
10
12
40
21
24
15
10
15
9
11
8
308
■ Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
Tolal
police
employees
Tolal
officers
Tolal
civilians
County by slate
Total
police
employees
Tolal
ofTicers
Tolal
civilians
County by slate
Tolal
police
employees
Total
officers
Tolal
civilians
TEXAS — Continued
Knox
Lamar
Lamb
Lampasas
La Salle
Lavaca
Lee
Leon
Limestone
Lipscomb
Live Oak
Llano
Loving
Lynn
Madison
Maiion
Martin
Mason
Matagorda
Maverick
McCulloch
McMullen
Medina
Menard
Milam
Mills
Mitchell
Montague
Moore
Morris
Motley
Nacogdoches
Navarro
Newton
Nolan
Ochillree
Oldham
Palo Pinto
Panola
Parmer
Pecos
Polk
Presidio
Rains
Reagan
Real
Red River
Reeves
Refugio
Roberts
Robertson
Runnels
Rusk
Sabine
San Augustine
San Jacinto
San Saba
Schleicher
Scurry
Shackelford
Shelby
Sherman
Somervell
Starr
Stephens
Sterling
Stonewall
Sutton
Swisher
Terrell
Terry
Throckmorton
Titus
Trinity
Tyler
6
43
12
\i
11
16
II
9
28
9
18
20
2
10
14
12
8
7
53
14
10
1
23
8
13
10
10
13
17
13
2
42
33
13
18
18
10
23
22
II
22
24
10
17
12
3
14
126
21
5
10
10
29
9
10
20
7
9
12
13
16
8
18
49
9
4
5
13
7
5
14
7
18
12
17
23
2
4
8
10
5
12
11
6
8
4
6
10
5
1
6
113
11
1
5
5
8
5
5
10
4
5
5
9
11
5
12
9
4
1
3
TEXAS— Continued
Upshur
Upton
Uvalde
Val Verde
Van Zandt
Walker
Ward
Washington
Wharton
Wheeler
Wilbarger
Willacy
Wilson
Winkler
Wise
Wood
Yoakum
Young
Zapata
Zavala
UTAH
Beaver
Box Elder
Cache
Carbon
Daggett
Duchesne
Emery
Garfield
Grand
Iron
Juab
Kane
Millard
Morgan
Piute
Rich
San Juan
Sanpete
Sevier
Summit
Tooele
Uintah
Wasatch
Washington
Wayne
VERMONT
Lamoille
Orleans
Windham
VIRGINIA
Accomack
Alleghany
Amelia
Appomattox
Augusta
Bath
Bedford
Bland
Brunswick
Buchanan
Buckingham
Caroline
Carroll
Charlotte
Clarke
Craig
Culpeper
28
15
13
7
21
11
71
9
25
12
47
23
31
15
14
12
37
21
10
6
11
5
20
13
21
9
14
8
31
16
34
20
17
9
15
11
29
18
23
10
33
25
29
27
10
6
19
19
69
59
12
12
44
44
10
10
19
19
44
33
13
8
34
27
36
28
19
15
24
19
10
5
51
42
309
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1987 — Continued
County by stale
Total
police
etnployees
Total
officers
Total
civilians
County by stale
Total
police
employees
Tola!
officers
Total
civilians
County by state
Total
police
employees
Total
officers
VIRGINIA— Continued
Cumberland
Dickenson
Essex
Fauquier
Floyd
Franklin
Frederick
Giles
Grayson
Greensville
Halifax
Henry
Highland
Isle of Wight
King and Queen
King George
King William
Lancaster
Lee
Louisa
Lunenburg
Madison
Mathews
Mecklenburg
Middlesex
Montgomery
Nelson
Northampton
Northumberland
Nottoway
Orange
Page
Patrick
Prince Edward
Pulaski
Rappahannock
Richmond
Rockbridge
Rockingham
Russell
Shenandoah
Smyth
Southampton
Spotsylvania
Surry
Sussex
Tazewell
Warren
Westmoreland
Wise
Wythe
WASHINGTON
Adams
Asotin
Chelan
Clallam
Columbia
Cowlitz
Ferry
Garfield
Grays Harbor
Island
Kittitas
Klickitat
Lewis
Lincoln
Okanogan
8
5
8
5
19
25
7
5
62
3
19
17
6
14
5
13
1
28
30
21
4
20
2
40
13
5
10
11
3
20
7
28
27
36
3
36
38
24
7
31
10
7
5
25
2
42
9
37
1
20
7
39
10
31
8
WASHINGTON—
Continued
Pacific
Pend Oreille
San Juan
Skagit
Skamania
Stevens
Wahkiakum
Walla Walla
Whitman
WEST VIRGINIA
Barbour
Berkeley
Boone
Braxton
Calhoun
Clay
Doddridge
Fayette
Gilmer
Grant
Greenbrier
Hampshire
Hardy
Harnson
Jackson
Jefferson
Lewis
Lincoln
Logan
Marion
Mason
McDowell
Mercer
Mingo
Monongalia
Monroe
Morgan
Nicholas
Pendleton
Pleasants
Pocahontas
Preston
Raleigh
Randolph
Ritchie
Roane
Summers
Taylor
Tucker
Tyler
Upshur
Webster
Wetzel
Wirt
Wyoming
WISCONSIN
Adams
Bayfield
Buffalo
Burnett
Columbia
Crawford
Dodge
Door
29
28
17
12
12
8
11
11
40
37
18
18
55
50
33
31
WISCONSIN—
Continued
Dunn
Florence
Fond du Lac
Forest
Grant
Green Lake
Iowa
Iron
Jackson
Jefferson
Juneau
Lafayette
Langlade
Lincoln
Manitowoc
Marinette
Marquette
Menominee Tribal..
Monroe
Oconto
Oneida
Pepin ..., ..;.
Pierce
Polk
Price
Richland
Sauk
Sawyer
Shawano
Taylor
Trempealeau ..
Vernon
Vilas
Walworth
Waupaca
Waushara
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
Amencan Samoa
Guam
Puerto Rico
Virgin Islands
23
10
68
13
37
20
16
8
25
66
28
17
17
28
60
37
19
16
29
28
34
9
27
27
17
23
55
18
38
18
26
18
38
112
30
23
51
37
34
25
7
96
39
30
22
25
15
15
6
52
52
12
11
12
9
11
7
36
16
4
2
33
26
15
7
23
12
14
13
57
30
39
33
55
25
11
6
8
8
194
399
13,778
551
147
331
11.996
414
310
SECTION VI
APPENDIX I
TABLE METHODOLOGY
Designed to assist the reader, this appendix explains the
construction of many tabular presentations in the book. The
following key refers to the columnar headings used
throughout the appendix.
Key: A) Column 1 shows the table numbers. Included are
Tables 1 through 64, Crime in the United States-
1987.
B) Column 2 indicates the level of submission
necessary for an agency's statistics to be included
in a table. There are three levels of participation:
1. Agencies having reported data for all 12
months of the year.
2. Agencies having reported data for at
least one month but less than 12 months
of the year.
3. Nonreporting agencies.
The tabulations presented in the publication
employ statistics from one or more of these
participation levels. For example. Table 2 includes
all three agency reporting levels, but Table 14
presents only data for agencies having reported the
entire year.
C)Column 3 explains how each table . was
constructed. Data adjustments, if any, are
discussed along with various deflnitions of data
aggregation.
D) Column 4 contains general comments regarding
the potential use and misuse of the statistics
presented.
311
(1)
(2)
Data Base
(3)
Table Conslruclion
(4)
General Comments
All law enforcement agencies in the VCR Program
(inctudmg those submitting less than 12 months).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1987).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1987).
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months)
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1987).
All law enforcement agencies submitting complete
reports for 12 months in 1987.
All university/college law enforcement agencies sub-
mitting complete reports for 12 months in 1987.
All law enforcement agencies submitting complete
reports for 12 months in 1987.
The 1987 statistics are consistent with Table 2, Pre.
1987 crime statistics may have bpen updated, and
hence, may not be consistent with prior publica-
tions. Crime statistics mclude estimated offense
totals for agencies submitting less than 12 months
of offense reports for each year. Population statis.
tics represent July 1 provisional estimations for
each year except April 1, 1980. The offense break-
downs are according to UCR crime definitions
(App. II). 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, 1987, Bureau of the
Census provisional estimates. The tabular break-
downs are in accordance with UCR crime defini-
tions (App. II) and population classifications (App.
Ill)
Regional offense distributions are computed from
volume figures as shown in Table 4. Population
distributions are based on July 1, 1987, Bureau of
the Census provisional estimates.
The 1987 statistics are aggregated from individual
state statistics as shown in Table 5. Crime statistics
include estimated offense totals for agencies sub-
mitting less than 12 months of offense reports for
1986 and 1987. Population statistics represent
July 1 provisional estimates for 1986 and 1987. The
offense breakdowns are according to UCR crime
definitions (App. II).
Crime statistics include estimated offense totals for
agencies submitting less than 12 months of offense
reports. Population statistics represent July 1.
1987, Bureau of the Census provisional estimates
Statistics under the heading "Area Actually Re-
porting" represent reported offense totals for agen
cies 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 estimated offense totals for
agencies having less than 3 months of offense
reports. The offense breakdowns are according to
UCR definitions (App, II).
"Cities and Towns" are defined to be agencies in
Population Groups I through V (App. III). The
populations are July 1, 1987, estimates for each
agency.
The student enrollment figures, which are provided by
the U.S Department of Education, were not avail
able when this publication was prepared.
"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. III).
Population estimates of suburban counties are as of
July 1, 1987.
Represents an estimation of national reported
crime activity from 1978 to 1987.
Represents an estimation of national reported
crime activity in 1987.
Represents the 1987 geographical distribution
of estimated Crime Index offenses and popu-
lation.
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 dif-
ferences.
Represents an estimation of reported crime
activity for Index offenses at the state level.
Any comparison of UCR statistics should
take into consideration demographic differ-
ences.
I
Represents reported crime activity of individual
agencies in cities and towns 10.000 and over
in population. Any comparison of UCR
statistics should take into consideration
demographic differences.
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-campus residents,
plus other demographic differences.
Represents crime reported to individual law
enforcement agencies in suburban counties,
i.e., the individual sherifTs oflTice, 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
demographic differences.
312
(2)
Data Base
(3)
Table Conslruclion
(4)
General Comments
All law enforcement agencies submittmg complete
reptirts for 12 months in 1987.
All law enforcement agencies submitting complete
reports for at least 6 common months in 1986 and
1987.
All law enforcement agencies submitting complete
reports for 12 months in 1987.
All law enforcement agencies submitting complete
reports for at least 6 months in 1987.
All law enforcement agencies submitting complete
reports for at least 6 months in 1987.
All law enforcement agencies in the UCR Program
(including those submitting less than 12 months in
1987).
All law enforcement agencies submitting complete
reports for 12 months in 1987.
All law enforcement agencies submitting complete
reports for 12 months in 1978 and 1987.
All law enforcement agencies submitting complete
reports for 12 months in 1983 and 1987
All law enforcement agencies submitting complete
reports for 12 months in 1987.
All law enforcement agencies submitting complete
reports for 12 months in 1987.
"Rural Counties" are those outside MSAs and whose
jurisdictions are not covered by city police agencies
(App HI). l*opulatn»n classifications of rural
counties arc based on July I, 1987, estimates for
individual agencies.
The 1987 crime trend statistics are 2-year compari
sons based on 1987 reported crime activity. Only
common reported months for individual agencies
arc included in 1987 trend calculations. Popula-
tions represent July 1. 1987, estimates for individu-
al agencies. The tabular breakdowns are according
to UCR crime definitions (App. II) and population
classifications (App. III). Note that "Suburban and
Nonsuburban Cities" are all municipal agencies
other than central cities in MSAs.
The 1987 crime rates are the ratios of the aggregated
1987 crime volumes and the aggregated 1987
populations of the contributing agencies. Popula-
tion statistics represent July 1, 1987, estimates for
individual agencies. The tabular breakdowns are
according to UCR crime definitions (App. II) and
population classifications (App. III). Note that
"Suburban and Nonsuburban Cities" are all mu-
nicipal agencies other than central cities in MSAs
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 with each Index offense. Trend statis-
tics are derived based on agencies with at least 6
common months complete for 1986 and 1987
The 1987 clearance rates are based on offense and
clearance volume totals of the contributing agen-
cies for 1987. Population statistics represent July 1
estimates for individual agencies. The tabular
breakdowns are according to UCR crime defini-
tions (App. II) and population classifications (App
III),
The arrest totals presented are national estimates
based on the arrest statistics of all law enforcement
agencies in the UCR Program (including those
submitting less than 12 months). The "Total
Estimated Arrests" 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 (ac
cording to July 1, 1987, estimates).
The 1987 arrest rates are the ratios, per 1(X),000
inhabitants, of the aggregated 1987 reported arrest
statistics and population. The population statistics
represent the July 1, 1987, estimates for individual
agencies. The tabular breakdowns are according to
UCR crime definitions (App. II) and population
classifications/geographical configuration (App.
III).
The arrest trends are the percentage differences
between 1978 and 1987 arrest volumes aggregated
from all common agencies. Population statistics
represent July 1, 1987, estimates.
The arrest trends are the percentage differences
between 1983 and 1987 arrest volumes aggregated
from common agencies. Population statistics repre-
sent July 1, 1987, estimates.
The arrest trends are 2-year comparisons between
1986 and 1987 arrest volumes aggregated from
common agencies. Population statistics represent
July I, 1987, estimates.
Represents crime reported to individual rural
county law enforcement agencies covering
populations 25.000 and over, i.e., the indi-
vidual sherifTs 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 differ-
ences.
Slight decrease in national coverage for Table
13 due to editing procedure and lower
submission rate.
Slight decrease in national coverage for Table
17 due to editing procedure and lower
submission rate.
Aggravated assault is excluded from Table 18.
For UCR Program purposes, the taking of
money or property in connection with an
assault is reported as a robbery.
Slight decrease in coverage for Table 38 due to
editing procedure and lower submission of
race data.
313
(I)
(2)
Data Base
(3)
Table Construction
(4)
General Comments
39, 40 All city law enforcement agencies submitting complete
reports for 12 months in 1986 and 1987.
41-44 All city law enforcement agencies submittmg complete
reports for 12 months in 1986 and 1987.
45. 46 All suburban county law enforcement agencies submit
ting complete reports for 12 months in 1986 and
1987.
47-50 All suburban county law enforcement agencies submit-
ting complete reports for 12 months in 1987.
51, 52 AH rural county law enforcement agencies submitting
complete reports for 12 months in 1986 and 1987
53-56 All rural county law enforcement agencies submitting
complete reports for 12 months in 1987.
57, 58 All suburban area law enforcement agencies submitting
complete reports for 12 months in 1986 and 1987
59-62 All suburban area law enforcement agencies submitting
complete reports for 12 months in 1987.
63 All law enforcement agencies submitting complete
reports for 12 months in 1987.
64 All law enforcement agencies submitting complete
reports for 12 months in 1987.
The 1987 city arrest trends represent the percentage
differences between 1986 and 1987 arrest volumes
aggregated from common city agencies. "City
Agencies" are defined to be all agencies withm
Population Groups l-Vl (App. III).
"City Agencies" are defined as agencies within Popu-
lation Groups I-VI (App. HI).
The 1987 suburban county arrest trends represent
percentage differences between 1986 and 1987
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 1987 rural county arrest trends represent percent-
age differences between 1986 and 1987 volumes
aggregated from contributing agencies. "Rural
Counties" are defined as noncity agencies outside
MSAs (App. Ill)
"Rural Counties" are defined as noncity agencies
outside MSAs (App. III).
The 1987 suburban area arrest trends represent per-
centage differences between 1986 and 1987 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 1 provisional estimates for 1987. The tabular
breakdowns are according to UCR crime defini-
tions (App. II).
Population statistics represent July 1, 1987, estimates
for individual agencies. See Appendix III for
definitions of the population classifications pre-
sented.
Slight decrease in coverage for Table 44 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 50 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 56 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 62 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.
314
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 homicides
are limited to: (1) the killing of a felon by a law enforcement
officer in the line of duty; and (2) the killing of a felon by a
private citizen, b. Manslaughter by negligence: the killing of
another person through gross negligence. Traffic fatalities
are excluded. While manslaughter by negligence is a Part I
crime, it is not included in the Crime Index.
Forcible rape.- The carnal knowledge of a female forcibly
and against her will. Included are rapes by force and
attempts or assaults to rape. Statutory offenses (no force
used- victim under age of consent) are excluded.
Robbery.- The taking or attempting to take anything of
value from the care, custody, or control of a person or
persons by force or threat of force or violence and/or by
putting the victim in fear.
Aggravated assault.- An unlawful attack by one person
upon another for the purpose of inflicting severe or
aggravated bodily injury. This type of assault usually is
accompanied by the use of a weapon or by means likely to
produce death or great bodily harm. Simple assaults are
excluded.
Burglary-breaking or entering.- The unlawful entry of a
structure to commit a felony or a theft. Attempted forcible
entry is included.
Larceny-theft (except motor vehicle theft).- The 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 violence or by
fraud. Attempted larcenies are included. Embezzlement,
"con" games, forgery, worthless checks, etc., are excluded.
Motor vehicle theft.- The theft or attempted theft of a
motor vehicle. A motor vehicle is self-propelled and runs on
the surface and not on rails. Specifically excluded from this
category are motorboats, construction equipment, airplanes,
and fanning equipment.
Arson.- Any willful or malicious burning or attempt to
burn, with or without intent to defraud, a dwelling house,
public building, motor vehicle or aircraft, personal property
of another, etc.
The Part II offenses are:
Other assaults (simple).- Assaults and attempted assaults
where no weapon is used and which do not result in serious
or aggravated injury to the victim.
Forgery and counterfeiting.- Making, altering, uttering,
or possessing, with intent to defraud, anything false in the
semblance of that which is true. Attempts are included.
Fraud.- Fraudulent conversion and obtaining money or
property by false pretenses. Included are confidence games
and bad checks, except forgeries and counterfeiting.
Embezzlement.- Misappropriation or misapplication of
money or property entrusted to one's care, custody, or
control.
Stolen property; buying, receiving, possessing.- Buying,
receiving, and possessing stolen property, including
attempts.
Vandalism.- Willful or malicious destruction, injury,
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
weapons or silencers. Included are attempts.
Prostitution and commercialized vice.- Sex offenses of a
commercialized nature, such as prostitution, keeping a
bawdy house, procuring, or transporting women for
immoral purposes. Attempts are included.
Sex offenses (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.
Gambling.- Promoting, permitting, or engaging in illegal
gambling.
Offenses against the family and children.- Nonsupport,
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.
315
Liquor laws.- State or local liquor law violations, except Suspicion.- No specific offense; suspect released without
"drunkenness" and "driving under the influence." Federal formal charges being placed,
violations are excluded.
Drunkenness.- Offenses relating to drunkenness or . , , ,
. , . . r 1 J J ■ "J • J _ tu^ ;-fi..„^^,> " 1 8).- Offenses relating to violations of local curfew or
intoxication. Excluded is dnving under the influence. ...
Curfew and loitering laws.- (persons under age
).- Offenses relating to violations of lo<
loitering ordinances where such laws exist.
Disorderly conduct.- Breach of the peace.
Vagrancy.- Vagabondage, begging, loitering, etc. Runaways.- (persons under age 18).- Limited to juveniles
All other offenses.- All violations of state or local laws, '^^^"^ ^"^0 protective custody under provisions of local
except those listed above and traffic offenses. statutes.
316
APPENDIX III
UNIFORM CRIME REPORTING AREA DEFINITIONS
Community Types
Uniform Crime Reporting data are often presented using
three community-type aggregations. These are Metropolitan
Statistical Areas (MSAs), other cities, and rural counties.
The MSA concept was developed to facilitate the analysis
and dissemination of uniform statistical information on
metropolitan areas. The primary objective in establishing
standard definitions of these areas was to make it possible
for Federal agencies to utilize the same boundaries when
publishing statistical data. Each MSA is an integrated
economic and social unit with a recognized large population
nucleus. Detailed criteria followed in establishing and
defining MSAs can be found in the U. S. Department of
Commerce publication, State Metropolitan Area Data Book,
1986 edition.
An MSA includes a central city of at least 50,000
population or an urbanized area of at least 50,000. The
county containing the central city and contiguous counties
having strong economic and social relationships to the
central city and county are also included. Counties in MSAs
are designated suburban in UCR. An MSA may cross state
lines.
New England MSAs are comprised of cities and towns
instead of counties. In this publication's tabular
presentations, New England cities and towns are assigned to
the proper 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 77 percent of the total
United States population in 1987. Some presentations in this
book refer to "suburban area." A suburban area includes
cities with less than 50,000 inhabitants in addition to
counties (unincorporated areas) within the MSA. The
central cities are, of course, excluded.
"Other cities," most of which are incorporated, are those
outside MSAs. They comprised 9 percent of the 1987
population of the United States.
Rural counties, like "other cities," are outside MSAs.
Covering areas not under the jurisdiction of city police
departments, rural county law enforcement agencies offered
service to 14 percent of the national population in 1987.
The following diagram illustrates the aforementioned
discussion of the community types.
MSA
NON-MSA
CITIES
CENTRAL CITIES
50,000 AND OVER
OTHER
CITIES
SUBURBAN
CITIES
COUNTIES
(Unincorporated areas)
SUBURBAN
COUNTIES
RURAL
COUNTIES
Population Groups
The population group classifications used by the UCR
Program are:
Political Population
Population Group Label Range
I City 250,000 and over
II City 100,000 to 249,999
III City 50,000 to 99,999
IV City 25,000 to 49,999
V City 10,000 to 24,999
VI City Less than 10,000
VIII (Rural County) County N/A
IX (Suburban County) .,., County N/A
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
individual jurisdictions are estimated by the UCR Program
in noncensus years. To obtain the 1987 figures, for example,
state growth rates, as supplied by the Bureau of the Census,
were applied to every jurisdiction within each state. The
base figures were 1986 Bureau of the Census estimates for
all counties and cities.
The following table shows the number of UCR
contributing agencies within each population group for
1987.
Population Number of Population
Group Agencies Covered
I 62 44,693,000
II 127 18,574,000
III 321 21,859,000
IV 689 23,636,000
V 1,694 26,589,000
VI 7,661 25,200,000
VIII (Rural County) 3,715 34,009,000
IX (Suburban County) 1,677 48,839,000
Total 15,946 243,400,000'
'Because of rounding, the population covered does not add to
total.
317
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 divisions.
The following table delineates the regional, divisional, and
state configuration of the country.
NORTHEASTERN STATES
SOUTHERN STATES
New England
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
Middle Atlantic
New Jersey
New York
Pennsylvania
MIDWESTERN STATES
East North Central
Illinois
Indiana
Michigan
Ohio
Wisconsin
West North Central
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
South Atlantic
Delaware
District of Columbia
Florida
Georgia
Maryland
North Carolina
South Carolina
Virginia
West Virginia
East South Central
Alabama
Kentucky
Mississippi
Tennessee
West South Central
Arkansas
Louisiana
Oklahoma
Texas
WESTERN STATES
Mountain
Pacific
Arizona
Alaska
Colorado
California
Idaho
Hawaii
Montana
Oregon
Nevada
Washington
New Mexico
Utah
Wyoming
REGIONS and DIVISIONS of the UNITED STATES
WEST
318
APPENDIX IV
INDEX OF CRIME, METROPOLITAN
STATISTICAL AREAS, 1987
Metropolitan SlaliMical Area
Popuialion
Cnmc
Index
total
MixJirii-d
Cnme
lnd»
total'
Violent
cnme'
Property
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Rurglary
l.arceny-
Iheri
Motor
vehicle
theft
Arson'
Abilene. Tx, M.S.A
126,305
(Includes Taylor County.)
City of Abilene
11.1.161
7.518
561
6,957
5
32
198
326
2,607
4.099
251
Total area actually reporting
100 0%
7,833
581
7,252
6
34
201
340
2,752
4,238
262
Rate per 100.000 inhabtlanls
6.201.7
4600
5,741.7
4.8
26,9
159.1
269,2
2,178.9
3,355,4
207.4
Albany. Ga. M.S.A
119.460
(Includes Dougherty and Lee
Counties.)
City of Albany
86,588
7.737
1.146
6,591
18
85
447
596
2,562
3,649
3,916
380
Total area actually reporting
looo?;-
8.306
1,197
7.109
20
90
465
521
2,767
426
Rate per 100.000 inhabitants
5.953.0
1,002.0
5,950.9
16.7
75.3
390. 1
519,8
2,316.3
3,278,1
356.6
Albany-Schenectady-Troy, N.Y.
M.S.A
846.111
(Includes Albany. Greene.
Montgomery. Rensselaer. Saratoga and
Schenectady Counties.)
City of:
Albany
17.301)
6.144
832
5,312
16
64
335
417
2,046
2,919
347
Schenectady
67.410
3.327
200
3,127
3
26
136
35
1,291
1,585
251
Troy
54.121
2.956
190
2,766
6
19
83
82
873
1,678
215
Total area actually reporting
98.8%
31.763
2,568
29,195
34
200
582
1,652
8,400
19,354
1,441
Estimated total
100,0%
32.119
2,594
29,525
34
201
591
1.568
8,473
19.586
1,456
Rale per 100.000 mhabitanis
3.796. 1
305,6
3,489 5
40
23.8
81.7
197,1
1,001.4
2,314,8
173.3
Albuquerque. N.M. M.S.A
480,876
(Includes Bernalillo County.)
City of Albuquerque
371,756
37.008
3,845
33,163
48
211
987
2,599
9,965
20,913
2,285
Total area actually reportmg
100.0%
42.904
4,491
38,413
66
264
1,094
3,057
12,286
23,499
2,628
Rate per 100.000 inhabitants
8.922.1
933,9
7,988.1
13.7
54.9
227.5
637.8
2,554.9
4,886,7
546.5
Alexandria, La. M.S.A
138,350
(Includes Rapides Pansh,)
Cilv of Alexandria
50,')79
5,141
476
4,665
11
21
84
360
1,092
3,388
185
Total area actually reporting
<)>)6%
7,302
614
6,688
13
33
103
455
1,524
4,815
249
Estimated total
100,0%
7,332
617
6,715
13
33
104
457
1.530
4,835
250
Rate per 100.000 inhabitants
5,299.6
446,0
4,853,6
9.4
23.9
75.2
337.5
1,178.2
3,494,8
180.7
Allentown-Bethlehem, Pa.-N.J.
M^.A
659,626
(Includes Carbon, Lehigh, and
Northampton Counties. Pa., and
Warren County. NJ.)
City of:
Allentown
104.771
6,113
427
5,586
7
29
207
184
1,648
3,739
299
Bethlehem
70.617
2,627
167
2,460
4
14
66
83
545
1,811
103
Total area actually reporting
1000%
19,515
1.223
18,292
23
100
393
707
4,503
12,949
840
Rate per 100.000 inhabitants
2,958.5
185,4
2,773.1
3.5
15.2
596
107.2
582.7
1,963,1
127.3
Altoona, Pa. M.S.A
133,022
(Includes Blair County.)
City of Altoona
53.351
1,847
97
1,750
1
23
25
48
552
1,136
62
Total area actually reporting
100.0%
3,537
169
3,358
1
32
38
98
888
2,355
125
Rate per 100.000 inhabitants
2,659.0
127,0
2,531.9
.8
24 1
28.6
73.7
667.6
1,770.4
94.0
Amarillo, Tx. M.S.A
196,352
(Includes Potter and Randall
Counties.)
City of Amanllo
166,914
12,949
842
12,107
18
71
250
503
3,200
8,395
511
Total area actually reporting . .
100.0%
13,759
889
12,870
20
82
253
534
3,452
8,849
559
Rate per 100.000 inhabitants
7,007.3
452,8
6,5546
10.2
41 8
128.9
272.0
1,763.2
4,506.7
284.7
Anchorage. Ak. M.S.A
231.039
(Includes Anchorage Borough.)
Total area actually reporting
100.0%
13,746
1,025
12,721
15
154
285
571
2,113
9,491
1,117
Rate per 100.000 inhabitants
5.9496
443 6
5,506.0
6.5
66.7
123.4
247.1
914.6
4,108.0
483.5
Anaheim-Santa Ana, Ca. M.S.A
2,221,570
(Includes Orange County.)
City of:
Anaheim
246.815
17,306
1,274
16.032
14
91
659
510
4,892
8,733
2,407
Santa Ana
242.765
20,427
1,575
18,852
31
87
799
658
4,300
11,507
3.045
Total area actually reportmg
100.0%
127,408
10,001
117,407
90
533
3,624
5,654
31,967
70,312
15,128
Rate per 100.000 inhabitants .
5,735.0
4502
5,284.9
4,1
28.5
153.1
254.5
1,438,9
3,165.0
681.0
See footnotes at end of tabic.
319
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Statistical Area
Anderson, S.C. M.S.A
(Includes Anderson County.)
City of Anderson
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Ann Arbor, Mi. M.S.A
(Includes Washtenaw County.)
City of Ann Arbor
Total area actually repotting
Rale per i 00,000 inhabitants
Anniston, Al. M.S.A
(Includes Calhoun County.)
City of Anniston
Total area actually reporting
Rate per 100,000 inhabitants
Appleton-Oshkosh-Neenah, 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 County.)
City of Asheville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Athens, Ga. M.S.A
(Includes Clarke, Jackson, Madison
and Oconee Counties.)
City of Athens
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Atlanta, Ga. M.S.A
(Includes Barrow, Butts, Cherokee,
Clayton, Cobb, Cowetta. De Kalb,
Douglas, Fayette, Forsyth. Fulton,
Gwinnett, Henry, Newton, Paulding,
Rockdale, Spalding and Walton
Counties.)
City of Atlanta
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Atlantic City, N.J. M.S.A
(Includes Atlantic and Cape May
Counties.)
City of Atlantic City
Total area actually reporting
Rate per 100,000 inhabitants
Augusta, Ga.-S.C. M.S.A
(Includes Columbia, McDuffie and
Richmond Counties, Ga., and Aiken
County, S.C.)
City of Augusta
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Aurora-Elgin, II. M.S.A.*
(Includes Kane and Kendall
Counties.)
City of:
Aurora*
Elgin'
Total area actually reporting
Rate per 100,0(X) inhabitants
Austin, Tx. M.S.A
(Includes Hays, Travis, and
Williamson Counties.)
City of Austin
Total area actually reporting
Rate per 100,000 inhabitants
Population
142,757
29,081
W.3%
100.0%
264,053
108.336
100.0%
124,738
29,593
100.0%
307,072
Cnmc
Index
total
146,838
43,931
99.6%
100.0%
2,609,420
429,953
99.0%
100.0%
299,442
36,226
100.0%
396,890
46,316
96.7%
100.0%
338,919
85,600
72.311
100.0%
730,958
469.542
100 0%
2,059
6,487
6,556
4,592.4
10,269
20,428
7,736.3
3,424
5,354
4,292.2
64,346
2,973
51,426
3,057
23,518
978
100.0%
11.171
3,637.9
172,186
61,065
5,248
97.8%
7,290
100.0%
7.550
4,3848
2,434
5,813
5,859
3,990. 1
66,891
203,439
205,347
7,869.4
13,811
30,286
10,114.1
3,430
18.399
19,072
4,805.4
Modified
Cnme
Index
total'
44,338
59,284
8.110.5
Violent
cnme"
207
586
593
415.4
675
1.792
678.7
682
983
788.1
73
99
24
358
116.6
346
430
459
266.6
368
562
565
384.8
Property
cnme'
12,893
21,167
21,314
816.8
1,057
2,136
713.3
324
1,886
1,925
485.0
2,313
3,329
455 4
1,852
5,901
5,963
4.177.0
9,594
18,636
7,057.7
2.742
4371
3,504.1
2,900
2,958
954
10,813
3,521.3
4.902
6,860
7,091
4118.2
2,066
5,251
5,294
3.605.3
Murder
and non-
negligenl
man-
slaughter
14
11.2
9
12
12
7.0
7
12
12
8.2
Forcible
rape
53,998
207
182.272
359
184,033
361
7,052.6
13.8
12.754
16
28,150
22
9,400.8
7.3
3,106
8
16,513
46
17.147
47
4.320.3
11.8
5,510
1
7
15.430
8
4,552.7
2.4
42,025
39
55,955
42
7,655.0
5.7
19
59
59
41.3
59
174
65.9
26
29
23.2
38
12.4
25
46
47
27.3
26
59
59
40,2
Robtiery
636
1,404
1,415
54.2
49
192
64.1
26
133
137
34.5
284
410
56.1
41
80
82
37.4
180
450
170.4
124
146
117.0
II
23
4
51
16.6
93
108
112
65.0
122
149
150
102.2
Aggra-
vated
assault
5,100
8,677
8,733
3347
510
747
249.5
182
620
636
150.2
174
97
299
38.2
985
1,136
1554
143
435
440
308.2
432
1,147
434,4
524
794
636.5
46
57
20
266
86.6
219
264
288
167.3
213
342
344
2343
Burglary
6,950
10,727
10.805
414.1
482
1,175
392.4
108
1,087
1,105
278.4
325
189
664
195.9
1,005
1,741
238.2
508
2.036
2.051
1,436.7
1,718
3,737
1,415.2
864
1,250
1.002.1
571
424
124
1,906
620.7
1,396
2,181
2,244
1,303.2
881
1,830
1,841
1,253.8
Larceny-
Ihefl
14,927
49.957
50.406
1,931.7
1,431
5,366
1,792.0
1,194
5,960
6,150
1,549.5
1.617
1.390
4350
1,283.5
11,417
15,685
2,145.8
1,234
3.463
3.507
2,456.6
7,378
13,575
5,141.0
1,754
2.914
2.336.1
2,262
2,463
806
8,657
2,819.2
3,216
4274
4,431
2,573.4
Motor
vehicle
ihefl
110
402
405
283.7
498
1,324
501.4
124
207
165.9
67
71
24
250
81.4
290
405
416
241.6
1,068
117
3,130
291
3.158
295
2,150.7
200.9
31,559
7,512
110.328
21,987
111.474
22,153
4,272.0
849.0
10,770
553
21,395
1,389
7,145.0
463.9
1,714
198
9,505
1.048
9,880
1.117
2,489.4
281.4
3,627
266
2,484
192
10,424
656
3,075.7
1936
28,486
2.122
37,524
2.746
5,133.5
375.7
See footnotes at end of table.
320
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Stitistical Art*
Bakersfleld. C«. M.S.A
(Includes Kcm County.)
City of Bakersfield
Total area actually reporting
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 ICO.OOO inhabitants
Buigor, Me, M.S.A
(Includes pan of Penobscot and
Waldo Counties.)
City of Bangor
Total area actually reporting
Rate per 100,000 inhabitants
Baton Rouge, La. M.S.A
(Includes Ascension, East Baton
Rouge, Livingston, and West Baton
Rouge Parishes.)
City of Baton Rouge
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Battle Creek, Mi, M,S.A
(Includes (Talhoun County.)
City of Battle Creek
Total area actually reporting
Rate per 100,000 inhabitants
Beaumont-Port Arthur, Tx. M.S.A....
(Includes Hardin, Jefferson and
Orange Counties.)
City of:
Beaumont
Port Arthur
Total area actually reporting
Rate per 100.000 inhabitants
Beaver County, Pa. M.S.A
(Includes Beaver County.)
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Bellingham, Wa. M.S.A
(Includes Whatcom County.)
City of Bellingham
Total area actually reporting
Rate per 100,000 inhabitants
Benton Harbor, Mi, M.S.A
(Includes Berrien County.)
City of Benton Harbor
Total area actually reporting
Rate per 100,000 inhabitants
Bergen-Passaic, N,J, M.S.A
(Includes Bergen and Passaic
Counties.)
Total area actually reporting
Rate per 100.000 inhabitants
Billings, Mt. M.S.A
(Includes Yellowstone County.)
City of Billings
Total area actually reporting
Rate per 100.000 inhabitants
Binghamton, N.Y. M.S.A
(Includes Broome and Tioga
Counties.)
City of Binghamton
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Birmingham, Al. M.S.A
(Includes Blount. Jefferson, St. Clair.
Shelby and Walker Counties.)
City of Birmingham
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Population
506,692
154.202
100,0%
2,316,526
764,893
100.0%
65,155
30,504
100.0%
541,359
378,210
120,669
62,760
100.0%
201,701
99.6%
100.0%
Cnmc
Index
total
15,725
37.715
7.443.4
65.553
145,080
6,262.8
1,903
2,909
4.464.7
242.539
30.856
94.4%
43.724
100.0%
45.535
8.411.2
137,568
54.334
5.455
100.0%
8.826
6415.7
12.965
5.073
26,557
7,021.8
3,192
3,211
1.592.0
Modifird
Cnmc
Index
lolal'
115,624
45.721
3,876
100.0%
6,370
5,509.2
164,399
17,776
2,693
100.0%
11.489
6,988.5
1,306,673
100.0%
56,873
4,352.5
118,649
79.339
6,641
100.0%
7,551
6,364.1
262,579
53.067
2,590
99.6%
7,473
100.0%
7,511
2,860.5
917,901
282,171
27,796
97.3%
49,903
100.0%
51,335
5,592.7
1,890
4,777
942.8
14,295
22,996
992.7
76
110
168.8
4,297
5,275
5,422
1,001.6
644
913
663.7
1,279
527
2,398
634.0
288
289
143.3
Property
cnmc'
13,835
32,938
6,500,6
51,258
122,084
5,270.1
1,827
2.799
4,295.9
26,559
38,449
40,113
7,409.7
4,811
7.913
5,752.1
11,686
4.546
24.159
6.387.7
2.904
2.922
1.448.7
Murder
and non-
negligent
man-
slaughlcr
116
3,760
204
6,166
1764
5,332.8
195
2,498
1.307
10,182
795.0
6,193.5
4.766
52,107
364.7
3,987,8
125
6,516
150
7,401
126.4
6,237.7
68
2,522
255
7,218
258
7,253
98.3
2,762.2
3.532
24,264
6.411
43,492
6.605
44,730
719.6
4,873.1
20
61
12.0
226
300
13.0
Forcible
rape
1
9
41
10.8
6
6
3.0
4.3
11
67
36
2.8
4
5
4.2
127
129
14.1
Robbery
68
260
51.3
595
1,025
44.2
6
12
18.4
161
202
210
38.8
58
97
70.5
138
27
209
55.3
24
24
11.9
13
33
28.5
29
159
96.7
190
14.5
22
30
25.3
22
38
38
14.5
311
430
436
47.5
Aggra-
vated
as-saull
699
1,238
244.3
7,466
9,546
412.1
23
25
38.4
813
950
981
181.2
162
198
143.9
462
206
821
217.1
39
39
19.3
32
48
41.5
42
173
105,2
2,198
168.2
35
41
34.6
27
48
49
18.7
1,591
2,169
2,202
239.9
Burglary
1,103
3,218
635.1
6,008
12,125
523.4
46
72
110.5
3,289
4,082
4,189
773,8
417
607
441.2
661
285
1,327
350.9
219
220
109.1
70
118
102.1
124
964
5864
2,342
179.2
64
74
62,4
1
166
168
64.0
1.546
3,685
3,838
418.1
Larceny-
Ihcfl
4,241
10,614
2,094.8
13,475
30.208
1,304.0
350
516
792,0
7.916
11,446
11,812
2,181.9
1,496
2,448
1,779.5
4,338
1,673
8,404
2,222.0
809
813
403.1
713
1,522
1,3163
684
2,868
1,744.5
9,678
740,7
1,335
1,527
1,287.0
353
1,337
1,345
512.2
7,250
13,091
13,420
1,462.0
Motor
vehicle
ihcfl
8.562
19.917
3,930.8
30,319
77,470
3,344.2
1,428
2,188
3,358.1
16,774
24,563
25,782
4,762.5
3,189
5.223
3,7967
6.758
2.656
14.606
3.861,9
1,874
1,886
935.0
2,834
4,320
3,736.2
1,732
6,938
4,220.2
33,782
2,585.3
4,876
5,512
4,645.6
2,060
5.631
5.655
2,153.6
13,726
25,467
26301
2.865.3
1.032
2.407
475.0
7.464
14,406
621.9
49
95
145.8
1,869
2,440
2,519
465.3
126
242
175.9
590
217
1,149
303.8
221
223
110,6
213
324
280.2
82
376
228.7
8,647
661.8
305
362
305.1
109
250
253
96.4
3,288
4,934
5,009
545.7
See footnotes at end of table.
321
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Statistical Area
Bismarck, N.D. M.S.A
(Includes Burleigh and Morton
Counties.)
City of Bismarck
Total area actually reporting
Rate per 100.000 inhabitants
Bloomington, In. M.S.A
(Includes Monroe County.)
City of Bloomington
Total area actually reporting
Rate per 100,000 inhabitants
Bloomington-Norinal, II. M.S.A.*
(Includes McLean County.)
City of:
Bloomington*
Normal*
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Boise, Id. M.S.A
(Includes Ada County.)
City of Boise
Total area actually reporting
Rate per 100,000 inhabitants
Boston, Ma. M.S.A
(Includes part of Bristol, Essex,
Middlesex, Norfolk, Plymouth and
Worcester Counties, and all of Suffolk
County.)
City of Boston
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Boulder^Longmont, Co. M.S.A
(Includes Boulder County.)
City of
Boulder
Longmont
Total area actually reporting
Rate per 100,000 inhabitants
Bradenton, Fl. M.S.A
(Includes Manatee County.)
City of Bradenton
Total area actually reporting
Rale per 100,000 inhabitants
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-Milford, Ct. M.S.A
(Includes part of Fairfield and New
Haven Counties.)
City of:
Bridgeport
Milford
Total area actually reporting
Rate per 100,000 inhabitants
Bristol, CI, M,S,A
(Includes part of Hartford and
Litchfield Counties.)
City of Bristol
Total area actually reporting
Rate per 100,000 inhabitants
Brownsvilie-Harlingen, Tx. M.S.A. ,..
(Includes Cameron County.)
City of
Brownsville...
Harlingen
Total area actually reporting
Rale per 100,000 inhabitants
Populalion
84,890
47,475
100.0%
102,206
52.761
100.0%
123,059
46,385
36,898
97.1%
100.0%
192,932
107,903
100,0%
2,847,4«1
575,882
89,8%
100,0%
216,303
77,166
51,114
100,0%
182.380
38,567
100.0%
189,910
100 0%
172,063
34,677
100.0%
456,823
142,852
49,594
100,0%
70,520
59,352
100 0%
258,950
102,765
55,333
100,0%
Cnmc
Index
total
2,577
3,475
4.093,5
2,559
4,964
4,856.9
7,446
10,568
5,477.6
67,417
136,933
146,170
5,1333
5,596
3,463
13,068
6,041.5
4,759
15,616
8,562.3
7,642
4,024.0
2,499
6,867
3,991.0
13,221
2,205
23,302
5,100,9
1,833
2,083
2,953.8
10,023
4,164
18,519
7,151 6
Modified
Crime
Index
Violent
cnme'
31
59
69.5
304
388
379.6
Property
cnme'
11,954
18,550
19,277
677.0
184
199
666
307.9
570
1.755
962.3
399
210.1
206
503
292.3
1,810
92
2,245
491.4
146
161
228.3
1,265
143
1,701
656.9
2,546
3,416
4,024.0
2,255
4,576
4,477.2
3,020
1,464
5,493
5,647
4,588.9
445
7,001
589
9,979
05.3
5,172.3
55,463
118,383
126,893
4,456,4
5,412
3,264
12,402
5,733.6
Murder
and non-
negligenl
man-
slaughter
1
2
20
76
III
115
4.0
Forcible
rape
4,189
5
13,861
18
7,600.1
9,9
7,243
14
3,813.9
7,4
2,293
3
6,364
8
3.698,6
4,6
11,411
37
2,113
3
21,057
45
4.609.4
99
1,687
1,922
2,725.5
8.758
8
4.021
5
16,818
19
6,494,7
7,3
II
28
27.4
Robbery
42
55
28.5
550
907
956
33.6
13
26
77
35.6
27
125
68.5
56
29.5
56
94
54.6
87
19.0
6
14
19.9
93
35.9
Aggra-
vated
assault
12
13
15.3
14
20
19.6
45
9
59
63
51,2
68
90
46.6
5,408
7,237
7,401
259.9
46
17
81
374
151
341
187.0
80
42,1
44
69
40,1
983
57
1,176
257.4
19
20
28.4
127
48
212
81.9
Burglary
17
43
50.7
278
338
330-7
169
37
227
234
190.2
333
438
227.0
5,920
10,295
10,805
379.5
124
156
501
231.6
387
1,271
696.9
249
131.1
103
332
193.0
732
24
937
205.1
121
127
180.1
1,060
1,377
531.8
419
599
7056
478
999
977.4
668
363
1,358
1,391
1,130 4
2,016
2,925
1,516 1
10,412
25,454
27,533
9669
Larccny-
Ihefl
2,035
2,690
3,168.8
1,568
3,264
3,193.6
2,245
1,062
3,964
4,071
3,308.2
4,671
6,602
3,421.9
26,791
62,176
67,059
2,355.0
Motor
vehicle
theft
931
4,217
658
2,480
2,556
9,319
1,181.7
4,308.3
1.339
2,613
4.443
8,387
2,436.1
4,598.6
2,027
4,761
1,067,3
2,507.0
418
1,744
1,639
4,371
952.6
2,540.3
3,760
5,499
414
1,277
6,041
11,505
1,322.4
2.518.5
613
956
675
1,103
957,2
1,564.1
2,142
5,610
1,000
2,804
4,791
10,600
1,850.2
4,093.5
92
127
149.6
209
313
306.2
107
39
171
185
150.3
314
452
234.3
18,260
30,753
32,301
1,134.4
264
126
527
243.6
237
1.031
565.3
455
239.6
131
354
205.7
2,152
422
3,511
7686
118
144
204.2
1,006
217
1,427
551.1
See footnotes at end of table.
322
APPENDIX IV — Index of Crime. Metropolitan Statistical Areas, 1987 — Continued
Mctropolilin Slalislical Area
Populslion
Cnme
IndcK
lolal
Mitdifictl
Cnmc
Index
lOtill'
Vjoleni
cnmc*
Property
crime'
Murder
and non-
negligeni
man-
slaughter
Forcible
rape
Robhcr)
Aggra-
vated
avsaull
Burglary
Larceny-
Ihen
Motor
vehicle
theft
Bryan-College Station, Tx. M.S.A
(Includes Brazos County.)
aiy of;
Bi^an
College Station
Total area actually reporting
Rate per 100.000 inhabitants
BufTalo. N.Y. M.S.A
(Includes Ene County.)
City of Buffalo
Total area actually reporting
Rate per lOO.CXX) inhabitants
Burlington, N.C. M.S.A
(Includes Alamance County.)
City of Burlington
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Burlington. Vt. M.S.A
(Includes part of Chittenden, Franklin
and Grand Isle Counties.)
City of Burlington
Total area actually repotting
Rate per 100.000 inhabitants
Canton, Oh. M.S.A
(Includes Carroll and Stark Counties.)
City of Canton
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Casper, Wy. M.S.A
(Includes Natrona County.)
City of Casper
Total area actually reporting
Rate per 100.000 inhabitants
Cedar Rapids, la. M.S.A
(Includes Linn County.)
City of Cedar Rapids
Total area actually reporting
Rate per 100.000 inhabitants
Champaign-Urbana-Rantoul, II.
M.S.A.'
(Includes Champaign County.)
City of
Champaign*
Urbana*
Rantoul'
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Charleston, S.C. M.S.A
(Includes Berkeley. Charleston, and
Dorchester Counties.)
City of Charleston
Total area actually reporting
Rate per 100.000 inhabitants
Charleston, W.V. M.S.A
(Includes Kanawha and Putnam
Counties.)
City of Charleston
Total area actually reporting
Rate per 1(X).000 inhabitants
Charlotte-Gastonia-Rock Hill,
N.C- S.C. M.S.A ,
(Includes Cabarrus. Gaston, Lincoln,
Mecklenburg, Rowan, and Union
Counties, N.C, and York County.
S.C.)
City of:
Charlotte
Gastonia
Rock Hill
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
121,575
62.(>I<1
46.204
100 0'
967,572
325,787
100 0%
102,795
37.303
98.0%
100.0%
105,165
38.799
100.0%
405,418
89.363
93.5%
100.0%
68,482
45.697
100.0%
167,805
107,731
100.0%
171,601
59.353
35,875
20,751
99.2%
100.0%
492,386
69,863
100.0%
262,702
57.262
100.0%
1,079,225
4.435
3.541
9.378
7.713.8
25,053
45.886
4.742.4
1.956
3.582
3.717
3.615.9
4,475
8.294
7.886.7
5.838
15,722
16.439
4.054.8
2.954
3.805
5.556.2
9,134
10.736
6,397.9
4.789
27,440
5,572.9
6,046
9,453
3,598.4
356,596
39,609
53.529
5,341
42,516
4,106
98.6%
71,883
100.0%
72,916
6.756.3
.132
1.19
502
412.9
3.555
5,313
549.1
145
264
279
271.4
68
147
139.8
673
1,522
1,576
388.7
221
275
401 6
189
354
211.0
684
3,443
699.2
411
597
227.3
5,992
564
468
9,047
9.165
849.2
4.103
3.402
8.876
7..100.8
21,498
40,573
4,193.3
1,811
3,318
3,438
3,344.5
4.407
8.147
7.746.9
5.165
14.200
14,863
3.666.1
2,733
3,530
5,154.6
8,945
10,382
6,186.9
4,105
23,997
4,873.6
5,635
8,856
3,371.1
33,617
4.777
3.638
62.836
63.751
5,907.1
4
I
6
4.9
35
40
4.1
6
II
II
107
4,907
7
1,605
1
557
8,798
9
8,857
9
5,161.4
5.2
52
4
5
102
103
9.5
38
13
57
46.9
268
321
332
19
20
19.5
24
37
35.2
75
115
120
29.6
17
34
49.6
42
282
57.3
72
103
39.2
308
28
20
485
490
45.4
55
27
87
71.6
1.552
1,736
179.4
19
35
33.3
374
610
621
153.2
21
23
33.6
102
106
63.2
203
58
11
282
283
164.9
191
748
151.9
130
164
62.4
1.486
121
69
1,984
2,002
185.5
235
98
352
289.5
1,700
3,216
332.4
106
193
205
199,4
25
75
71.3
212
779
817
201.5
182
217
316.9
76
233
138.9
421
121
26
623
626
364.8
444
2,372
481.7
208
323
123.0
4.146
411
374
6,476
6,570
608.8
1.547
906
2.774
2,281.7
6.825
11.275
1,165.3
425
902
935
909.6
1,079
1,933
1.838.1
1,448
3,985
4,149
1,023.4
812
1,070
1.562.5
1.802
2,147
1,279.5
1.175
441
110
2,189
2,202
1,283.2
1,067
6,603
1,341.0
1,341
2,297
874.4
10,117
1,424
903
20,016
20,265
1,877.7
2.350
2,351
5,702
4,690 1
11,252
24,563
2,538.6
1.296
2,240
2,321
2,257.9
3,146
5,907
5,616.9
3.350
9,369
9,821
2,422.4
1.830
2,317
3.383.4
6,791
7,820
4,660.2
3,468
1,057
434
6,188
6,229
3,629.9
2,797
15,840
3,217.0
3,983
5,959
2,268.3
21,723
3,079
2,592
39,509
40,130
3.718.4
206
145
400
329.0
3,421
4,735
489.4
90
176
182
177.1
182
307
291.9
367
846
893
220.3
91
143
208.8
352
415
247.3
264
107
13
421
426
248.3
241
1,554
315.6
311
600
228.4
1,777
274
143
3,311
3,356
311.0
See footnotes at end of table.
323
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Statistical Area
Population
Cnmc
Indei
total
Modified
Crime
Index
total'
Violent
crime"
Property
crime'
Murder
and non-
negligenl
man-
slaughler
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Charlottesville, Va. M.S.A
123,860
41.933
100.0%
430,548
163.929
93.9%
100.0%
72,638
52.120
100.0%
6,144,087
3.018.338
99.9%
100.0%
170,914
33.506
100.0%
1,415,232
371.585
97.9%
100.0%
155,398
61.389
29.105
99.5%
100.0%
1,872,542
548,171
90.6%
100.0%
383,812
275,106
100.0%
107,278
63,601
100.0%
451,350
94,320
100.0%
3,071
5,462
4,409.8
14,589
21,049
21,698
5,039.6
2.750
3.355
4.618.8
2.924
9.333
5.460.6
27.197
67.983
69.280
4,895.3
2,854
1.497
5.571
5,610
3,610.1
45,408
82,634
88,556
4,729.2
22.826
26.729
6.964,1
4,340
6,170
5,751,4
11.819
30.353
6.724.9
256
364
293.9
2.093
2.564
2.615
607.4
80
160
220.3
183
745
435.9
3,167
5,768
5,842
412.8
350
184
682
686
441.4
6,964
8,984
9,381
501.0
1,390
1,665
433.8
253
375
349.6
1,478
4,000
886.2
2,815
5,098
4,115.9
12,496
18,485
19,083
4.432.3
2.670
3.195
4,398.5
209.770
334.162
334.232
5.439,9
2.741
8.588
5.024,7
24,030
62,215
63.438
4.482,5
2.504
1.313
4.889
4.924
3.168,6
38.444
73.650
79.175
4.228.2
21,436
25,064
6.5303
4.287
5,795
5,401.9
10,341
26,353
5,838.7
4
10
8.1
26
31
32
7.4
2
3
4,1
691
757
757
12.3
2
16
9.4
69
95
96
6.8
3
4
9
9
5.8
145
169
173
9.2
15
21
5.3
4
7
6.5
15
46
102
25
36
29.1
121
171
176
40,9
14
25
34,4
22
67
39.2
344
610
616
43.5
31
15
52
52
33.5
750
915
950
307
167
206
33,7
21
28
26.1
77
234
51.8
72
90
72.7
552
628
638
148.2
13
23
31.7
29.879
32.357
32.359
526.7
35
95
55.6
1.183
1,754
1.774
125,4
58
39
103
104
66.9
3.541
4,392
4.489
239.7
310
353
144.1
87
96
89.3
396
782
173.3
155
228
184 1
1.394
1.734
1.769
4109
46
109
1501
34.194
38.375
38.378
624.6
124
567
331.7
1.571
3.309
3.356
237.1
258
126
518
521
335,3
2.528
3.308
3.769
201.3
698
883
2306
141
244
227.4
990
2.938
650.9
565
966
779.9
3.445
5.547
5.792
1.345.3
313
401
552.1
31.003
76.728
76.743
1.249.1
640
2.808
1.642.9
5,733
13,213
13,442
949.8
791
295
1,572
1.579
1.016.1
13.163
20,367
21.553
1,131.1
5,923
7,044
1,835.3
783
1,132
1,053.2
2,684
7,428
1,643.7
2,102
3,873
3.128.5
7.255
10.591
10.885
2.528.2
2.274
2.691
3.704.7
119.072
203.851
203.900
3.318.6
1.914
5.156
3.016.7
17.055
45.998
46.894
3.313.5
1.523
958
3.007
3.033
1,931.8
14.773
37,289
41,202
2.200.3
13,878
16,179
4.215,3
3,363
4,496
4,191.0
6.988
16.877
3,739.2
148
257
207.5
1.796
2.347
2.406
558.8
83
103
141.8
39.693
53.583
53.589
872.2
187
624
365.1
1.242
3.004
3.102
219.2
190
60
310
312
200.8
10,308
13,994
16,418
876.8
1,633
1,841
479.7
139
167
155.7
669
2,048
433.7
(Includes Albemarle, Fluvanna, and
Greene Counties and Charlottesville
City.)
Total area actually reponing
Rate per 100,000 inhabitants
Chattanooga, Tn.-Ga. M.S.A
(Includes Hamilton. Manon and
Sequatchie Counties. Tn.. and Catoosa.
Dade and Walker Counties. Ga.)
Total area actually reporting
Estimated total
Rale per 100.000 inhabitanls
Cheyenne, Wy. M.S.A
(Includes Laramie County.)
City of Cheyenne
Total area actually reporting
Rate per 100,000 inhabitants
Chicago, II. M.S.A.*
(Includes Cook. Du Page and
McHenry Counties.)
Total area actually reporting
Rate per 100.000 inhabitants
Chico, Ca. M.S.A
(Includes Butte County.)
City of Chico
Total area actually reporting
Rate per 100.000 inhabitants
Cincinnati, Oh.-Ky.-In. M.S.A
(Includes Clermont. Hamilton and
Warren Counties. Oh.; Boone.
Campbell and Kenton Counties. Ky.;
and Dearborn County. In.)
Total area actually reporting
Rate per 100.000 inhabitants
Clarksville-Hopkinsville, Tn.-Ky.
M.S.A
(Includes Chnstian County. Ky. and
Montgomery County. Tn.)
City of:
Clarksville . .
Hopkinsville
Total area actually reponing
Rale per 100.000 inhabitants
Cleveland, Oh. M.S.A
(Includes Cuyahoga. Geauga, Lake
and Medina Counties.)
City of Cleveland
Total area actually reponing
Rate per 100,000 inhabitanta
Colorado Spring!, Co, M.S.A
(Includes El Paso County,)
City of Colorado Springs
Total area actually reponing
Rate per 100,000 inhabitants
Columbia, Mo. M,S.A
(Includes Boone County.)
City of Columbia
Total area actually reponing
Rate per 100,000 inhabitants
Columbia, S.C. M.S,A
(Includes Lexington and Richland
Counties.)
City of Columbia
Total area actually reporting
Rate per 100,0(X) inhabitanls
Sec foolnoles at end of table.
324
APPENDIX IV — Index of Crime. Metropolitan Statistical Areas, 1987 — Continued
M.xlificd
MurJcr
Melnipiilitan SiatiMical Arcs
Populalion
Crime
Indct
lolal
Cnme
Index
lolal'
Violem
cnmc'
Properly
cnmc'
and non
negligent
mun-
slaughlci
Forcible
rape
Rubbery
Aggra-
vated
assault
Burglary
Larceny-
theh
Motor
vehicle
theft
Arson'
Columbus. Ga.-AI. M.S.A
254.862
(Includes Chattahoochee and
Muscogee Counties. Ga.. and Russell
Counly, Al.)
City of Columbus
183.654
9,465
699
8,766
19
71
296
313
2,354
5.888
524
Total area actually reporting
I00.0<rr
11,748
1,144
10.604
24
93
329
698
2]878
7]081
645
Rale per 100,000 inhabitants
4,609.6
448.9
4.160.7
94
36.5
129.1
273.9
1.129.2
2.778.4
253.1
Columbus. Oh. M.S.A
1.282,823
(Includes Delaware. Fairfield.
Franklin. Licking. Madison. Pickaway
and Union Counties.)
City of Columbus
567.800
51.941
5,381
46.560
85
534
2,864
1.898
14.218
28,786
3.556
Total area actually reporting
%.1<7<.
79,108
7,470
71.638
102
729
3,363
3.276
19.836
46,915
4.887
Esiimaied total
100.0%
81,218
7,592
73.626
103
739
3,398
3.352
20.213
48,363
5.050
Rale per 100.000 inhabitants
6.331.2
591.8
5.739.4
8.0
57.6
264.9
261.3
1.575.7
3,770.0
393.7
Corpus Christi. Tx. M.S.A
366,757
(Includes Nueces and San Patricio
Counties.)
City of Corpus Christi
265.59.1
25.440
1,825
23.615
20
166
391
1.248
6.477
7.934
16,086
18,227
1.052
1,214
Total area actually reporting
100.0%
29.503
2.128
27.375
30
193
421
1.484
Rate per 100.000 inhabitants
8.044.3
580.2
7.464.1
8.2
52.6
114.8
404.6
2.163 3
4,969.8
331.0
Cumberland. Md.-W.V. M.S.A
103.082
(Includes Allegany County. Md., and
Mineral County. W.V.)
City of Cumberland
2.1.603
976
51
925
2
2
12
35
177
718
30
Total area actually reporting
100.0%
2,377
176
2.201
3
10
27
136
511
1,603
87
Rate per 100.000 inhabitants
2.305.9
170.7
2,135.2
2.9
9.7
26.2
131.9
495.7
1,555.1
84.4
Dallas, Tx. M.S.A
2,353,710
(Includes Collin. Dallas. Denton. Ellis.
Kaufman and Rockwall Counties.)
City of Dallas
1, 009.947
164,452
20.086
144.366
323
1,260
9,091
9.412
39.237
85,255
144.796
19,874
27,479
Total area actually reporting
100.0%
262,035
24.684
237.351
394
1,727
10,548
12.015
65.076
Rate per 100.000 inhabitants
11,132.8
1.048.7
10.084.1
16.7
73.4
448.1
510.5
2,764.8
6,151.8
1.167.5
Danbury, Ct. M.S.A
162,065
(Includes part of Fairfield and
Litchfield Counties.)
City of Danbury
64,981
2,827
98
2.729
1
17
47
33
582
1,885
262
Total area actually reporting
100.0%
4,413
171
4.242
2
26
57
86
1.013
2,849
380
Rate per 100,000 inhabitants
2.723.0
105.5
2.617.5
1.2
160
35.2
53.1
625.1
1.757.9
234.5
Danville, Va. M.S.A
112,536
(Includes Pittsylvania County and
Danville City.)
City of Danville
45,606
1,644
57
1.587
3
7
13
34
278
1.262
47
Total area actually reporting
100.0%
2,612
132
2,480
6
16
24
86
615
1.778
87
Rate per 100,000 inhabitants
2,321.0
117.3
2.203.7
5.3
14.2
21.3
76.4
546.5
1.579.9
77.3
Davenport-Rock Island-Moline, la.-II.
M.S.A.*
371,002
(Includes Scott County. la., and
Henry and Rock Island Counties, 11.)
City of:
Davenport
98,168
6,757
833
5.924
4
59
129
641
1.628
4,109
187
Rock Island*
43,848
2,271
1
38
208
309
1.887
75
Molinc*
44,630
1,939
17
78
395
1,497
10,680
47
Total area actually reporting
100.0%
14,421
8
210
1,059
3,305
436
Rale per 100,000 Inhabiianis
3,887.0
2.2
56,6
285.4
890.8
2.878.7
117.5
Daytona Beach, Fl. M.S.A
330,468
(Includes Volusia County.)
City of Daytona Beach
59,781
9,525
1,221
8,304
13
75
384
749
2,812
4,9!9
533
Total area actually reponing
100.0%
25,264
2,478
22,786
31
156
749
1,542
7,7J7
13,801
1,228
Rate per 100.000 inhabitants
7,644.9
749.8
6,895.1
9.4
47.2
226.6
466.6
2,347.3
4.176,2
371.6
Dttatur IL, M.S.A.*
127,071
(Includes Macon County.)
City of Decatur*
90,624
6,616
3
172
363
1,714
4,7 31
171
Total area actually repotting
99.0%
7,415
4
173
391
1,933
5,281
201
Estimated total
100.0%
7,471
4
174
394
1,945
5,320
206
Rate per 100,000 inhabitants
5,879.4
3.1
136.9
310.1
1,530.6
4,186,6
162,1
Denver, Co. M.S.A
1.64T,M9
(Includes Adams, Arapahoe, Denver,
Douglas and Jefferson Counties.)
City of Denver
509,529
46,184
3,841
42.343
79
401
1,612
1,749
13.704
23,174
5.463
Total area actually reporting
100.0%
118,989
9,497
109,492
127
751
2.920
5,699
30,080
69,484
9,928
Rate per 100,000 inhabitants
7,221.7
576.4
6,645.3
7.7
45.6
177,2
345.9
1.825,6
4.217.2
602.6
D«s Moines, la. M.S.A
379,154
(Includes Dallas, Polk and Warren
Counties.)
City of Des Moines
190,128
19,557
1,118
18,439
14
64
337
703
3.772
13.895
772
Total area actually reporting
100.0%
27,998
1,613
26.385
15
81
399
1,118
5.699
19.586
1,100
Rate per 100,000 inhabitants
7,384.3
425.4
6.9589
4.0
21.4
105.2
294.9
1,503.1
5.165.7
290.1
See footnotes at end of table.
325
APPENDIX IV — Index of Crime, MetropoliUn SUtistical Areas, 1987 — Continued
Metropolitan Statistical Area
Population
Cnuie
Index
total
Modified
Cnmc
Index
total'
Violent
cnme'
Properly
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Detroit, Mi. M.S.A
4,369,049
(Includes Lapeer. Livingston, Macomb,
Monroe, Oakland, St. Clair and
Wayne Counties.)
City of Detroit
1,091,523
138,411
27,778
110,633
686
1,417
15,093
10,582
36,900
43,914
29,819
Total area actually reporting
99.3%
333.569
44,565
289,004
880
2,745
20,325
20,615
73,824
159,067
56,113
Estimated total
100.0%
335,560
44,731
290,829
882
2,758
20,376
20,715
74,190
160,291
56,348
Rate per 100,000 inhabitants
7,680.4
1,023.8
6,5566
20,2
63 1
466,4
474.1
1,698,1
3,668.8
1,289.7
Dothan, Al. M.S.A
130,884
(Includes Dale and Houston
Counties.)
City of Dolhan
53,714
4,154
299
3,855
1
12
35
251
944
2.818
93
Total area actually reporting
97.2%
5,843
570
5,273
10
24
60
476
1.287
3,827
159
Estimated total
100.0%
6,057
599
5,458
10
25
65
499
1,336
3,952
170
Rate per 100,000 inhabitants
4,627.8
457.7
4,170.1
7.6
19.1
49,7
381.3
1,020.8
3,019.5
129.9
Dubuque, la. M.S.A
90,613
(Includes Dubuque County.)
City of Dubuque
59,348
2,956
236
2,720
2
2
17
215
550
2,048
122
Total area actually reporting
100.0%
3,464
271
3,193
2
2
17
250
632
2,422
139
Rate per 100,0(X) inhabitants
3,822.9
299.1
3,523.8
2.2
2.2
18,8
275,9
697.5
2,672.9
153.4
Duluth, Mn.-Wi. M.S.A
245,124
(Includes St Louis County, Mn., and
Douglas County, Wi.)
City of Duluth
82.964
4,826
233
4,593
4
29
41
159
931
3,353
309
Total area actually reporting
100,0%
9,989
399
9,590
5
91
63
240
2.329
6,710
551
Rate per 100,000 inhabitants
4,075,1
162.8
3,9123
2.0
37,1
25,7
97,9
950 1
2,737.4
224.8
Eau Claire, Wi. M.S.A
137,332
(Includes Chippewa and Eau Claire
Counties.)
City of Eau Claire
54,842
2,791
63
2,728
1
4
18
40
470
2,180
78
Total area actually reporting
100.0%
4,776
95
4,681
1
9
26
59
840
3.712
129
Rale per 100,000 inhabitants
3,477,7
692
3,408.5
.7
6.6
18.9
43-0
611 7
2,702.9
93.9
Elkliart-Coshen, In, M.S.A
147,129
(Includes Elkhart County.)
City of:
Elkhart
44,400
21,476
3,469
1.149
III
13
3,358
1,136
4
28
7
55
3
24
3
670
148
2,492
930
196
58
f*»nch*»n
\_JW31l^ll
Total area actually reporting
100.0%
6!840
399
6,441
6
53
78
262
1,396
4,670
375
Rate per 100.000 inhabitants
4,649.0
271.2
4,377.8
4.1
36.0
53.0
178,1
948.8
3,174.1
254.9
Elmira, N.Y. M.S.A
90,769
(Includes Chemung County.)
City of Elmira
32,547
2,382
129
2,253
2
9
60
58
389
1,828
36
Total area actually reporting
92.8%
3,843
271
3,572
4
25
72
170
638
2,865
69
Estimated total
100.0%
4,078
4,492.7
289
318.4
3,789
4,174.3
4
4.4
26
28.6
78
85.9
181
199.4
686
755.8
3,018
3,324.9
85
93.6
Rate per 100,000 inhabitants
El Paso, Tx. M.S.A
565,102
(Includes El Paso County.)
City of El Paso
494.954
100.0%
42,078
44,502
4,332
4,565
37,746
39,937
25
29
219
257
969
997
3.119
3,282
10,459
11,178
24.594
25,902
2.693
2,857
Total area actually reporting
Rate per 100,000 inhabitants
7,875.0
807.8
7,067.2
5 1
45.5
176.4
580.8
1,978,0
4,583.6
505.6
Enid, Ok, M,S,A
62,261
(Includes Garfield County.)
City of Enid
49,838
3,917
274
3,643
3
24
55
192
1,136
2.385
122
Total area actually reporting
100.0%
4,131
278
3,853
3
27
55
193
1,216
2.509
128
Rate per 100,000 inhabitants
6,635.0
446.5
6,188.5
4.8
43.4
88.3
310.0
1,953.1
4,029.8
205.6
Erie, Pa. M.S.A
280,299
(Includes Eric County.)
City of Erie
115,724
6.071
635
5,436
5
64
236
330
1,437
3,664
335
Total area actually reporting
100.0%
9,862
807
9,055
7
89
259
452
2,397
6,083
575
Rate per 100,000 inhabitants
3,518.4
287.9
3,230.5
2.5
31.8
92.4
161.3
8S5.2
2,170.2
205.1
Eugene-Sprlngfleld, Or. M.S.A
265,746
(Includes Lane County.)
City of;
Eugene
106,430
10,419
378
10,041
3
48
161
166
2,459
7,035
547
Springfield
38,771
3,573
172
3,401
1
21
47
103
998
2,212
191
Total area actually reporting
100.0%
18,335
804
17,531
8
110
250
436
4,938
11,574
1,019
Rate per 100,000 inhabitants
6,899.4
302.5
6,596.9
3.0
41.4
94.1
164.1
1,858.2
4,355.3
383.4
Evansville. In.-Ky. M.S.A
282,295
(Includes Posey, Vanderburgh and
Warrick Counties, In., and Henderson
County, Ky.)
City of Evansville
130,125
6,597
635
5,962
4
32
124
475
1,538
4,132
292
Total area actually reporting
76.9%
9,467
863
8,604
8
49
140
666
1,995
6,222
387
Estimated total
100.0%
11,670
1,003
10,667
10
63
170
760
2,491
7,594
582
Rale per 100.000 inhabitants
4,134.0
355.3
3,778.7
3.5
22,3
60.2
269.2
882.4
2.690,1
206.2
See footnotes at end of table.
326
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Slaltstical Area
Fall River, Ma.-R.I. M.S.A
(Includes part of Bnstoi County. Ma.,
and Newport County. R.I.)
City of Fall River
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Fargtt-Moorhead, N.D.-Mn. M.S.A. ...
(Includes Cass County, N D.. and
Clay County. Mn.)
City of;
Fargo
Moorhcad
Total area actually reporting
Rate per 100.000 inhabitants
Fayetteville, N.C. M.S.A
(Includes Cumberland County.)
City of Fayetteville
Total area actually reporting
Rate per 100.000 inhabitants
Fayette»ille-Springdale, Ar. M.S.A
(Includes Washington County.)
City of:
Fayetteville
Spnngdale
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Flint, Mi. M.S.A
(Includes Genesee County.)
City of Flint
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Florence, Al. M.S.A
(Includes Colbert and Lauderdale
Counties.)
City of Florence
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Florence, S.C. M.S.A
(Includes Florence County.)
City of Florence
Total area actually reporting
Rate per 100.000 inhabitants
Fort Collins-Loveland, Co. M.S.A
(Includes Lanmer County.)
City of:
Fort Collins
Loveland
Total area actually reporting
Rate per lOO.CKX) inhabitants
Fort Lauderdale-Hollywood-Pompano
Beach, FI. M.S.A
(Includes Broward County.)
City of:
Fort Lauderdale
Hollywood
Pompano Beach
Total area actually reporting
Rate per 100,0(X) inhabitants
Fort Myers-Cape Coral, Fl. M.S.A...
(Includes Lee County )
City of:
Fort Myers
Cape Coral
Total area actually reporting
Rate per 100.0(X1 inhabitants
Fort Pierce, F\. M.S.A
(Includes Martin and St. Lucie
Counties.)
City of Fort Pierce
Total area actually reporting
Rate per 100,000 inhabitants
Population
156,738
100.0%
144,492
108,751
Cnmc
Index
lolal
138,743
36.373
99.3%
100.0%
117,621
32.113
100.0%
176,166
74.805
35,828
100.0%
1,176,462
153.051
124,515
68,730
100.0%
287,422
40.704
51,707
100.0%
211,833
37,990
100.0%
7,357
9,089
9,672
6,170.8
67,220
3,865
28,561
1,864
100.0%
6,670
4,616.2
261,823
76,744
9,090
100.0%
20,788
7,939.7
40,389
2,164
26,352
1,594
98.7%
4,809
100.0%
4,896
4,502.0
t36,933
146.301
22,697
99.0%
36,950
100.0%
37.211
8.516.4
2.099
4.450
4,505
3,247.0
2,663
6,083
5,171.7
5,019
1,804
9,410
5,341.6
22,012
13,188
11,648
100,135
8.511.5
5,589
2,362
13,390
4,658.7
7,470
17,548
8,283.9
Modified
Cnme
Index
lolal'
Violent
crime'
556
686
731
466.4
46
34
135
93.4
1,187
1,963
749.7
96
68
223
229
210.6
4,563
5,905
5,927
1,356.5
Properly
cnmc'
6.801
8.403
8.941
5.704.4
3,819
1,830
6,535
4,522.7
7,903
18,825
7,190.0
2,068
1,526
4,586
4,667
4,291.5
18,134
31.045
31,284
7,159.9
Murder
and non-
ncgligcnt
man-
slaughter
14
25
9.5
52
64
64
14.6
Forcible
rape
35
38
41
26.2
7
36
24.9
73
194
74.1
10
7
20
21
19.3
276
410
412
94.3
Robbery
159
1,940
3
10
302
4,148
7
18
309
4,196
7
18
222.7
3,024.3
5.0
13.0
330
2,333
5
29
831
5,252
17
69
706.5
4,465.2
14.5
58.7
363
4,656
2
38
96
1,708
1
13
513
8.897
3
57
291.2
5,050.4
1.7
32.4
1,889
20,123
53
101
1,100
12,088
7
38
1,973
9,675
8
80
10,503
89,632
134
510
892.8
7,618.8
11.4
43.4
642
4,947
15
25
80
2,282
4
1
1,021
12,369
35
63
355.2
4,303.4
12.2
21.9
1.222
6,248
17
39
2,274
15,274
27
107
1,073.5
7,2104
12.7
50.5
Aggra-
vated
assault
164
175
185
118.0
12
5
20
13.8
338
541
206.6
13
6
28
29
26.7
1,379
1,701
1,708
390.9
18
46
47
33.9
54
85
72.3
41
7
56
31.8
1,198
559
676
4,743
403.2
277
II
444
154.5
334
487
229.9
Burglary
353
468
500
319.0
26
22
79
54.7
762
1,203
459.5
71
54
172
176
161.8
2,856
3,730
3,743
856.7
128
231
237
170.8
242
660
561.1
282
75
397
225.4
537
496
1,209
5,116
434.9
325
64
479
166.7
832
1,653
780.3
Larceny-
Ihcfl
2,146
2,567
2,698
1,721.3
447
201
855
591.7
2,494
6,937
2,649.5
613
327
1,281
1,301
1,196.3
6,586
9,565
9,613
2,200.1
350
1,026
1,039
748.9
557
1,664
1,414.7
856
260
1,702
966.1
6,162
3,052
2,964
24,716
2,100.9
1,373
683
4,071
1,416.4
1,987
5,109
2,411.8
3,211
3,990
4,299
2,742.8
3,164
1,583
5,376
3,720.6
4,880
10,591
4,045.1
1,352
1,091
3,022
3.079
2.831.2
Molor
vehicle
Ihcfl
3,893
9,304
4,392.1
1,444
1,846
1,944
1,240,3
208
46
304
210.4
529
1,297
495.4
103
108
283
287
263.9
9,709
1,839
18,550
2,930
18,710
2,961
4,282.1
677.7
1,461
129
2,832
290
2,864
293
2,064.2
211.2
1,667
109
3,297
291
2,803.1
247.4
3.646
154
1,371
77
6,864
331
3,896.3
187.9
11,466
2,495
7,915
1,121
5,694
1,017
55,418
9,498
4,710.6
807.3
3,195
379
1,492
107
7,175
1,123
2,496.3
390.7
368
861
406.5
See footnotes at end of table.
327
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas. 1987 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
lotal
Modincd
Cnme
Index
total'
Violent
cnme'
Property
cnme'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
Fort Smith, Ar.-Ok. M.S.A
175,821
(Includes Crawford and Sebastian
Counties, Ar., and Sequoyah County,
Ok.)
Cily of Fort Smith
74,837
6,849
553
6,296
4
57
98
394
1.368
4.396
532
Total area actually reporting
100.0%
8,947
629
8,318
8
66
109
446
2,235
5,426
657
Rale per 100,000 inhabitants
5,088.7
357.8
4,7309
4.6
37,5
62.0
253.7
1.271.2
3,086.1
373.7
Fort Walton Beach, Fl. M.S.A
145.S13
(Includes Okaloosa County.)
City of Fort Walton Beach
23,572
1.847
152
1,695
2
13
28
109
448
1,180
67
Total area actually reporting
100.0%
5,330
372
4,958
10
39
84
239
1.317
3,405
236
Rate per 100,000 inhabitants
3,662.9
255.6
3,407.3
6.9
26.8
57,7
164,2
905.1
2,340.0
162.2
Fort Worth-Arlington, Tx. M.S.A
1,332,814
(Includes Johnson, Parker and Tarrant
Counties.)
City of:
Fort Worth
432,305
251,372
77.563
20,232
7,691
1,412
69,872
18.820
135
18
476
92
3,270
511
3,810
791
20,567
4,749
38,492
11,769
10,813
2,302
Arlington
Total area actually reporting
100.0%
142,052
11.454
130.598
189
745
4,511
6,009
36,222
77,080
17,296
Rate per 100,000 inhabitants
10,658.1
859.4
9,798.7
14.2
55.9
338.5
450,9
2.717.7
5.783.3
1,297.7
Fresno, Ca. M.S.A
602,453
(Includes Fresno County.)
City of Fresno
291,855
32,090
3,373
28,717
33
196
1,096
2,048
9,103
16.682
2,932
Total area actually reporting
99.2%
47,939
5.521
42,418
67
376
1,380
3,698
14,171
24,305
3,942
Estimated total
100.0%
48,234
8.006.3
5,557
922.4
42,677
7.083.9
67
11.1
378
62.7
1.391
230.9
3,721
617.6
14,239
2,363.5
24,462
4,060.4
3,976
660.0
Rate per 100,0(30 inhabitants
Gadsden, Al. M.S.A
102,622
(Includes Etowah County.)
Cily of Gadsden
45,522
2.769
414
2,355
4
24
59
327
525
1,646
184
Total area actually reporting
100.0%.
3,888
548
3.340
9
29
68
442
865
2,250
225
Rale per 100.000 inhabitants
3,788.7
534.0
3,254.7
8.8
28.3
66.3
430.7
842,9
2,192.5
219.3
Gainesville, FI. M.S.A
205,758
(Includes Alachua and Bradford
Counties.)
City of Gainesville
87.709
9,575
1.262
8,313
8
60
299
895
2,888
5.032
393
Total area actually reporting
100.0%
18,250
2,122
16,128
11
116
454
1,541
5,571
9.776
781
Rate per 100,000 inhabitants
8,869.6
1,031.3
7.838.3
5.3
56.4
220.6
748.9
2,707.5
4,751.2
379.6
Galveston-Texas City, Tx. M.S.A
216,178
(Includes Galveston County.)
Cily of
Galveston
60.596
42,521
7,163
3,690
779
254
6.384
3.436
21
1
63
16
331
92
364
145
1,876
1,047
3,986
2,179
522
210
Texas City
Total area actually reporting
100.0%
15,709
1,257
14,452
30
121
478
628
4,386
9,018
1,048
Rale per 100,000 inhabitants
7,266.7
581.5
6,685.2
13.9
56.0
221.1
2905
2,028.9
4.171.6
484.8
Gary-Hammond, In. M.S.A
617,861
(Includes Lake and Porter Counties.)
City of:
Gary
137,471
8.405
1.338
7,067
44
65
577
652
2,620
2,518
1,929
Hammond
86,810
6,108
945
5,163
6
41
272
626
1,353
2,826
984
Total area actually reporting
96.3%,
29,162
3.167
25,995
62
159
1,044
1,902
6,524
14,733
4,738
Estimated total
100.0%
30,269
4,899.0
3.226
522.1
27,043
4,376.9
63
102
164
26.5
1,057
171.1
1,942
314.3
6,709
1,085.8
15,518
2,511.6
4,816
779.5
Rate per 100,000 inhabitants
Glens Falls, N.Y. M.S.A
112,734
(Includes Warren and Washington
Counties.)
City of Glens Falls
16,128
421
11
410
1
4
6
130
243
37
Total area actually reporting
97,7%
3,277
216
3,061
2
15
22
177
825
2.073
163
Estimated total
100.0%
3,371
222
3,149
2
15
24
181
844
2.135
170
Rate per 100,000 inhabitants
2,9902
196.9
2,793.3
1.8
13.3
21.3
160.6
748.7
1.893.8
150.8
Grand Forks, N.D. M.S.A
68,582
(Includes Grand Forks County.)
Cily of Grand Forks
44,560
2,478
43
2,435
3
6
8
26
387
1,940
108
Total area actually reporting
100.0%
3,006
51
2.955
3
6
9
33
427
2,400
128
Rale per 100.000 inhabitants
4,383 1
74.4
4.308.7
4.4
8.7
13.1
48.1
622.6
3,499.5
186.6
Grand Rapids, Mi. M.S.A
656,871
(Includes Kent and Ottawa Counties.)
City of Grand Rapids
187,441
17,335
2,251
15.084
15
268
504
1,464
3,984
9,970
1,130
Total area actually reporting
99.9%
34,129
3.059
31,070
23
452
602
1,982
6.911
22,163
1.996
Estimated total
100.0%,
34.157
5,200.0
3,061
466.0
31,096
4,7340
23
3,5
452
68.8
603
91.8
1,983
301.9
6,916
1,052.9
22.181
3.376.8
1.999
304.3
Rate per 100,000 inhabitants
Greeley, Co. M.S.A
136,231
(Includes Weld County.)
City of Greeley
57,431
5.106
337
4.769
4
27
40
266
1,013
3.612
144
Total area actually reporting
100 0%
8,694
593
8.101
9
50
52
482
1,826
5,987
288
Rate per 100.000 inhabitants
6,381.8
435,3
5.946.5
6,6
36.7
38.2
353.8
1,340.4
4,3947
211.4
Green Bay, Wi. M.S.A
188,065
(Includes Brown County.)
Cily of Green Bay
93,902
5,321
200
5,121
3
29
27
141
868
4.077
176
Total area actually reporting
100.0%
8,268
300
7,968
3
30
36
231
1,433
6.272
263
Rate per 100.000 inhabitants
4.396.4
159.5
4,236.8
1.6
16.0
19.1
122.8
762.0
3,335.0
139.8
See footnotes at end of table.
328
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, I9t
17 — Continued
Metropolitan StatHiical Area
Population
Cnmc
lnde«
lolal
Modified
Cnme
Index
total'
Violent
cnme'
Property
cnme
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
valed
avsaull
Burglary
Larceny-
Ihefl
Motor
vehicle
Ihcft
Arson'
slaughter
Gre«nsbo ro- W i nston-Sal em-H igh
Point, N.C. M.S.A
912,331
(Includes Davidson. Davie. Forsyth,
Guilford, Randolph, Stokes and
Yadkin Counties.)
City of:
Greensboro
178.921
11.725
1,080
10.645
18
81
310
671
2,534
7,655
456
Wins ton -Salem
149,984
13.562
2,567
10.995
22
103
365
2,077
3,543
6,801
651
High Point
67.416
5,703
587
5.116
4
23
123
437
1,274
3,568
274
99.7%
43.560
5,248
38.312
80
268
918
3,982
11,570
24,734
2.008
Estimated total
100.0%
43.758
5,270
38.488
80
269
921
4,000
11,618
24.853
2.017
Rate per 100,000 inhabitants
4.796.3
577.6
4.218.6
8.8
29.5
lOI.O
438.4
1,273.4
2,724.1
221.1
Greenville-Spartanburg, S.C. M.S.A. ..
615,908
(Includes Greenville. Pickens and
Spartanburg Counties.)
City of;
Greenville
59.186
6.146
759
5.387
12
35
162
550
1,216
3,912
259
Spartanburg
44.828
4.795
606
4.189
7
39
85
475
1,181
2,807
201
Total area actually reporting
99.7%
33.237
3,784
29.453
63
263
597
2,861
7.985
19,718
1.750
Estimated total
100.0%
33.368
3,798
29.570
63
264
600
2,871
8.013
19,801
1.756
Rate per 100.000 inhabitants
5.417.7
616.7
4.801.0
10.2
42.9
97.4
466.1
1,301.0
3,214.9
285.1
Higerstown, Md. M.S.A
115,933
(Includes Washington County,)
City of Hagcrsiown
34.211
1.849
161
1.688
1
4
89
67
471
1.126
91
Total area actually reporting
100.0%
3,355
460
2.895
1
18
111
330
850
1.868
177
Rate per 100.000 inhabitants
2,893.9
396.8
2.497.1
.9
15.5
95.7
284.6
733.2
1.611.3
152.7
Hamilton-Middletown. Oh, M.S.A
266,203
(Includes Butler County.)
City of
Hamilton
64.157
5,499
637
4.862
5
67
120
445
1,410
3.197
255
Middletown
43,921
2,526
95
2.431
2
27
28
38
551
1.781
99
Total area actually reporting
96.7%
14,322
1,049
13.273
10
113
181
745
3,238
9.395
640
Estimated total
100.0%
14,690
1,070
13,620
10
115
187
758
3,304
9.648
668
Rate per 100,000 mhabiiants
5,518.3
401.9
5,116.4
3,8
43.2
70.2
284.7
1,241.2
3.624.3
250.9
Hartford, Ct. M.S.A
748,377
(Includes pan of Hartford, Litchfield.
Middlesex. New London and Tolland
Counties.)
City of Hartford
138,945
22,854
2.961
19,893
24
124
1,433
1,380
5,765
11.422
2.706
Total area actually reporting
100.0%
44,640
4.165
40,475
38
212
1.794
2,121
10,562
25,373
4.540
Rate per 100.000 inhabitants
5,964.9
556.5
5,408.4
5.1
28.3
239.7
283.4
1,411.3
3.390.4
606.6
Hickory. N.C. M,S.A
220,499
(Includes Alexander, Burke and
Catawba Counties.)
City of Hickory ..
26,081
1.933
185
1.748
2
19
32
132
444
1.211
93
Total area actually reporting
100.0%
6.809
857
5.952
16
34
69
738
1.803
3,813
336
Rate per 100,000 inhabitants
3,088.0
388.7
2,699.3
7.3
15.4
31.3
334.7
817.7
1.729.3
152.4
Honolulu, Hi, M.S.A
832,614
(Includes Honolulu County.)
Total area actually reporting
100.0%
48,949
2,258
46,691
36
322
985
915
9,136
34.239
3,316
Rate per 100.000 inhabitants
5,879.0
271.2
5,607.8
4.3
38.7
118.3
109.9
1.097.3
4.112.2
398.3
Houston, Tx. M.S.A
3,252,223
(Includes Fort Bend. Harris. Liberty,
Montgomery and Waller Counties.)
City of Houston
1,739,999
163,428
18,971
144.457
323
1,172
9,692
7,784
44.601
71.206
28.650
Total area actually reporting
100.0%
248.639
24,862
223,777
450
1.652
11.497
11,263
70.474
114,991
38,312
Rate per 100.000 inhabitants
7,645.2
764.5
6,880.7
13.8
50.8
353.5
346.3
2.166.9
3.535.8
1,178.0
Huntington-Ashland. W.V.-Ky.-Oh.
M.S,A
327,356
(Includes Cabell and Wayne Counties,
W.V,. Boyd. Carter and Greenup
Counties. Ky., and Lawrence County.
Oh.)
City of:
Huntington
58,627
3,953
322
3,631
5
44
97
176
1.021
2,378
232
Ashland
26.064
1.023
78
945
4
8
66
279
611
55
Total area actually reporting
84.2%
8.227
730
7,497
14
78
139
499
2.207
4,720
570
Estimated total
100.0%
9.503
841
8,662
15
88
160
578
2,516
5,501
645
Rate per 100,000 inhabitants
2.903.0
256.9
2,646.0
4.6
26.9
48.9
176.6
7686
1,680.4
197.0
HuntSTille, AL M.S.A
235,470
(Includes Madison County.)
City of Huntsville
164.658
12.737
761
11,976
16
68
213
464
2.217
9,219
540
Total area actually reporting
100.0%
13.800
879
12,921
19
78
227
555
2.503
9,835
583
Rate per 100,000 inhabitants
5,860.6
373.3
5,487.3
8.1
33.1
96.4
235.7
1,063.0
4.176.8
247.6
See footnotes at end of table.
329
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Murder
Metropolilan Statistical Area
Population
Cnme
Indet
total
Mixiincd
Cnmc
Index
lolal'
Violent
cnme'
Property
cnme'
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Indianapolis, In. M.S. A
1,219.199
(Includes Boone. Hamilton. Hancock,
Hendncks, Johnson, Manon. Morgan
and Shelby Counties.)
City of Indianapohs
478.693
30.358
4.543
25.815
57
432
1.334
2.720
8.744
13.335
3.735
Total area actually repoiling
84.8%
55.983
5.788
50.195
74
567
1.740
3.407
14.222
29,933
5.040
Estimated total
100.0%
62.488
5.125.3
6.186
5074
56.302
4.617.9
80
6.5
507
49.8
1,825
149.7
3.574
301.3
15,638
1.282.6
34.059
2.793.5
6.605
541.7
Rate per 100.000 inhabitants
Iowa City, la. M.S.A
84,797
(Includes Johnson County.)
City of Iowa City
50.192
2.705
229
2.476
25
19
184
377
2.007
92
Total area actually reporting
100.0%
4.691
360
4.331
37
25
298
779
3.397
155
Rate per 100.000 mhabitants
5.532.0
424.5
5.107.5
43.6
29.5
351.4
918.7
4.006.0
182.8
Jackson. Mi. M.S.A
145,105
(Includes Jackson County.)
City of Jackson
37.111
4.004
739
3,265
3
54
119
563
789
2.294
182
Total area actually reporting
99.2%
7.496
1.352
6.144
9
139
156
1.048
1.449
4.390
305
Estimated total
100.0%
7.566
5.214.2
1.358
935.9
6.208
4,278.3
9
52
139
95.8
158
108.9
1.052
725.0
1.462
1.007.5
4.433
3.0550
313
215.7
Rate per 100,000 inhabitants
Jackson, Tn. M.S.A
78,846
(Includes Madison County.)
City of Jackson
53,383
4.826
665
4,161
3
38
157
467
1,043
2,874
244
Total area actually reporting
100.0%
5.497
724
4.773
4
47
169
504
1.291
3,206
276
Rate per 100.000 inhabitants
6.971.8
918.2
5,053.5
5.1
59.5
214.3
639.2
1,637.4
4.066.2
350.0
Jacksonville. Fl. M.S.A
878,124
(Includes Clay. Duval. Nassau and St,
Johns Counties.)
City of Jacksonville
629.887
74.227
9.577
54.650
147
509
3.876
4.945
20.745
38,820
5.085
Total area actually reporting
100.0%
90.566
11.241
79,325
162
707
4,258
5.114
24,481
48,916
5.928
Rale per 100.000 mhabitants
10.313.6
1.280.1
9.033.5
18.4
80.5
484.9
696.3
2.787.9
5.570.5
675.1
Jacksonville, N.C. M.S.A
128,228
(Includes Onslow County.)
City of Jacksonville
29,150
2.781
244
2.537
4
9
47
184
551
1.881
105
Total area actually reporting
100.0%
5.674
615
5.059
8
29
91
487
1.509
3.330
220
Rate per 100.000 inhabitants
4.424.9
4795
3.945.3
5.2
22.5
71.0
379.8
1.176.8
2.596.9
171.5
Janesville-Beloit, Wi. M.S.A
138,436
(Includes Rock County )
City of:
Janesville
52.029
3,024
102
2.922
9
17
75
684
2.116
122
Beloit
33.916
97.9%
3.164
7.267
439
635
2.725
6.532
2
3
20
65
84
371
529
503
1.433
2.131
4.945
91
254
Total area actually reporting
Estimated total
100.0%
7.390
5.338.2
540
462.3
6.750
4.875.9
2
14
20
144
85
51.4
533
385.0
1.454
1,050 3
5.038
3.639.2
258
186.4
Rate per ICJO.OOO inhabitants
Jersey City, N.J. M.S.A
556,888
(Includes Hudson County.)
Citv of Jersev Citv
220.981
20.199
3.347
15.852
19
105
2,051
1,172
4,613
8.011
4.228
^m^t \ J \/i J\.IJV.J ^^1 I J
Total area actually reporting
100.0%
39,296
4,850
34.445
42
163
2.614
2,031
7,856
17.857
8.723
Rate per 100,000 inhabitants
7.0564
870.9
5.185.4
7.5
29.3
469.4
364.7
1.412.5
3.205.6
1.565.4
Johnson City-Kingsport-Bristol.
Tn.-Va. M.S.A
448,779
(Includes Carter, Hawkins, Sullivan.
Unicoi and Washington Counties, Tn.,
Bnstol City and Scott and Washington
Counties, Va.)
City of;
Johnson City
45.185
2.322
92
2.230
3
12
27
50
538
1.557
135
Kingsport
31.811
2.352
152
2.200
5
4
28
115
328
1.776
96
Bnsto!
18.365
87.0%
757
11.182
40
563
717
10.519
18
4
52
10
117
26
476
154
2.896
527
7.022
36
601
Total area actually reporting
Estimated total
100.0%
13.232
2.948.4
845
188.5
12.386
2.759.9
21
47
66
14.7
153
34.1
606
135 0
3.479
775.2
8.157
1.817.5
750
167.1
Rate per 100,000 inhabitants
Johnstown, Pa. M.S.A
255,100
(Includes Cambna and Somerset
Counties.)
City of Johnstown
31.965
1.266
185
1.081
1
11
41
132
374
512
95
Total area actually reporting .
97.1%
4.080
405
3.674
1
31
68
305
1.196
2.202
276
Estimated total
100.0%
4,271
422
3.849
1
32
71
318
1.232
2.325
292
Rale per 100.000 inhabitants
1.574.2
155.4
1.508.8
.4
12.5
27.8
124.7
482.9
911.4
114.5
Joliet, II. M.S.A.*
390,289
(Includes Grundy and Will Counties.)
City of Joliet*
76,232
5,783
13
258
549
1.746
4.533
504
Total area actually reporting
100.0%
15,200
22
371
1.009
4.164
10,859
1.167
Rale per 100.000 inhabitants
4.150 8
55
95.1
258.5
1.065.9
2,784.9
299.0
Joplin, Mo. M.S.A
133,871
(Includes Jasper and Newton
Counties.)
City of Joplin
40.514
3,112
147
2.955
2
24
44
77
555
2,294
116
Total area actually reporting
76.7%
4.905
262
4.543
8
27
48
179
967
3.478
198
Estimated total
100.0%
5.669
4.2347
326
243.5
5.343
3.991.2
9
5.7
30
22.4
56
41.8
231
172.6
1.168
872.5
3.925
2.931.9
250
186.7
Rate per 100.000 inhabitants
Sec footnotes at end of table.
330
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Mclropotitan Statistical Am
Population
Kalamazoo, Mi. M.S.A
(Includes Kalamaztxi County.)
City of KalamaZiHi
Total area actually reponing
Estimated total
Rate per 100.000 inhabilanis
Kankakee. U. M.S.A.*
(Includes Kankakee County.)
City of Kankakee*
Total area actually reporting
Rate per 100.000 inhabitants
Kansas City, Mo.-Ks. M.S.A
(Includes Cass. Clay. Jackson,
Lafayette. Platte and Ray Counties.
Mo., and Johnson. Leavenworth.
Miami and Wyandotte Counties. Ks.)
Cily of;
Kansas Cily. Ks
Kansas Cily. Mo
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Kenosha. Wi. M.S.A
(Includes Kenosha County.)
City of Kenosha
Total area actually reporting
Rale per 100.000 inhabitants
Killeen-Temple, Tx. M.S.A
(Includes Bell and Coryell Counties.)
City of:
Killeen
Temple
Total area actually reporting
Rate per 100.000 inhabitants
Knoxville. Tn. M.S.A
(Includes Anderson. Blount, Grainger,
Jefferson, Knox. Sevier and Union
Counties.)
City of Knoxville
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Kokomo, In. M.S.A
(Includes Howard and Tipton
Counties.)
City of Kokomo
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
La Crosse, Wi. M.S.A
(Includes La Crosse County.)
City of La Crosse
Total area actually reporting
Rate per 100,000 inhabitants
Lafayette, La. M.S.A
(Includes Lafayette and St. Martin
Parishes.)
City of Lafayette
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Lafayette-West Lafayette, In. M.S.A..
(Includes Tippecanoe County.)
City of
Lafayette
West Lafayette
Total area actually reporting
Rate per 100,000 inhabitants
Lake Charles, La. M.S.A
(Includes Calcasieu Parish.)
City of Lake Charles
Total area actually reporting
Rate per 100.000 inhabitants
Lake County, II. M.S.A.*
(Includes Lake County )
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Crime
Index
lotal
218,763
77,607
<><).2%
100.0%
98,287
27.300
100.0'7f
1,528,329
163.098
444.382
100.0%
120,554
75,306
100.0%
236,104
5<).942
46.879
100.0%
571,784
175.089
81.0%.
100.0%
101,905
45,837
88.7%
100.0%
94,535
47,870
100.0%
216,048
89,026
96.5%
100.0%
125,019
44.460
21,215
100.0%
171,550
72,743
100.0%.
484,533
99.8%
100.0%
9,2:6
15,938
16.046
7,334.9
ModificJ
Cnnic
Index
total'
16,672
52,777
106,019
108,185
7,078.6
5,091
6,971
5,782.5
5,277
3.766
13,217
5,598.0
11,728
19,222
22,430
3,922.8
1,998
2,564
2.926
2.871.3
2,884
3,997
4,228.1
8.641
11.536
11,992
5.550.6
2,424
855
4,329
3,462.7
5,379
11,757
6,853.4
Violent
crime*
1,712
2.006
2.015
921.1
2,377
8,423
13,143
13,310
870.9
197
288
238.9
302
213
765
324.0
1,376
1,865
2,137
373.7
67
77
100
98.1
Propen>
cnmc'
Murder
and non-
negligcnl
man-
slaughlcr
7,514
13,932
14,031
6,413.8
3,048
5,174
5,264.2
14.295
44,354
92,876
94,875
6,207
4,894
6.683
5,543.6
4,975
3,553
12,452
5,273.9
10,352
17,357
20,293
3,549.1
1,931
2,487
2,826
2,773.2
48
2,836
129
3.868
136.5
4,091.6
951
7,690
1,263
10,273
1,300
10,692
601 7
4,948.9
57
2.367
26
829
259
4,070
207.2
3,255.5
215
5,164
908
10,849
529.3
6,324.1
18,837
18,887
3.898.0
31
131
175
177
11.6
Forcible
rape
20
35
40
7.0
10
10
2.1
132
184
185
84.6
RobtKTy
160
486
807
817
53.5
37
61
50.6
57
57
171
72.4
86
123
147
25.7
14
15
17
16.7
10
16
16.9
64
99
101
46.7
4
4
17
13.6
18
73
42.6
Aggra-
vated
assault
321
372
375
171.4
164
175
178.0
680
3,279
4,481
4,513
295.3
92
113
93.7
126
83
245
103.1
439
537
591
103.4
41
44
49
48.1
6
6
6.3
211
238
246
113.9
23
3
30
24.0
55
136
79.3
340
341
70.4
Burglary
1,254
1,441
1,446
661.0
407
518
527.0
1,506
4,527
7,680
7,803
510.6
66
111
92.1
114
72
341
144,4
831
1,170
1,359
237.7
9
15
31
30.4
29
103
109.0
667
911
938
434.2
29
19
211
168.8
135
685
399.3
962
964
199.0
Larceny
I heft
2,081
3,364
3.384
1.546.9
915
1,549
1,5760
4,550
13,767
26.153
26,658
1,744.3
1,246
1,594
1,322.2
1,499
786
3,648
1,545.1
4,008
6,780
7.829
1,369.2
442
554
641
629.0
252
468
495.1
1,727
2,693
2,785
1,289.1
541
137
938
750.3
1,404
2,990
1,742.9
3,333
3,344
690 1
Motor
vehicle
I heft
5,105
9,997
10,063
4.600.0
1,892
3,271
3,328.0
7.994
24,224
56,401
57,747
3,778.4
3.356
4.677
3.879.6
3,260
2,595
8,223
3.482.8
4,854
8,475
10,103
1.766.9
1,367
1,771
1.989
1,951.8
2,478
3,259
3,447.4
5,670
7,153
7,461
3,453.4
1,724
655
2,933
2,346.0
3,589
7,524
4,385.9
14,497
14,532
2,999.2
328
571
584
267.0
241
354
360.2
1,751
6,363
10.322
10,470
685.1
292
412
341.8
216
172
581
246.1
1,490
2,102
2,361
412.9
122
162
196
192.3
106
141
149.2
293
427
446
206.4
102
37
199
159.2
171
335
195.3
1,007
1,011
208.7
See footnotes at end of table.
331
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Meiropoliian Slalislical Area
Population
Cnme
Index
lolsl
ModiHed
Cnme
Index
lotal'
Violenl
cnme"
Property
cnme'
Murder
and non~
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thefl
Motor
vehicle
theft
Arson'
Lakeland- Winter Haven, FI. M.S. A. ..
(Includes Polk Counly.)
City of:
388,447
63.735
24.499
100.0%
395,049
57.425
98.3%
100.0%
426,773
129,610
48,355
92.3%
100.0%
121,575
117,811
100.0%
124,679
54,828
97.7%
100.0%
594,718
481.393
100.0%
73,060
56,848
96.1%
100.0%
119,473
81.988
100.0%
102,254
39.425
23.131
100.0%
332,054
212,934
100.0%
205,610
182.615
100.0%
509,116
182.290
63.982
100.0%
7.039
2.954
34.510
8.884,1
3.386
10.133
10.308
2.609,3
10,996
1,851
22,874
24,872
5,827,9
8,767
9,055
7.448,1
5,621
7.803
8,081
6,481,4
37.020
43.243
7.271,2
3.978
4.943
5.082
6.955,9
6.512
6.871
5,751,1
2,795
755
4,451
4,352.9
14.056
18.502
5.572.0
12.362
13.934
6.776,9
22.227
6.071
37.726
7,4101
701
270
3,334
858,3
258
660
675
170,9
1,684
74
2,278
2.445
572,9
555
589
484,5
290
440
453
363,3
3.884
4,868
818,5
254
294
302
413,4
598
634
5307
169
14
224
219,1
1,037
1,404
422,8
701
747
363,3
2,911
734
4,354
855.2
6.338
2.684
31.176
8.025,8
3.128
9.473
9.633
2.438,4
9.312
1.777
20.596
22.427
5.255,0
8.212
8,466
6,963,6
5,331
7.363
7.628
6,118,1
33,136
38,375
6,452,6
3,724
4,649
4,780
6.542.6
5.914
6.237
5.220.4
2,626
741
4,227
4.133.8
13,019
17,098
5,149.2
11,661
13,187
6,413,6
19,316
5,337
33.372
6.554,9
10
2
45
116
7
12
12
3.0
8
9
11
2.6
11
12
9.9
1
5
5
4,0
47
59
9,9
2
2
2
2,7
6
8
6,7
42
24
143
36,8
27
57
58
14,7
164
17
305
318
74,5
8
13
10,7
31
52
53
42,5
308
404
67,9
14
15
16
21,9
57
66
55,2
12
1
16
15,6
104
135
40,7
57
67
32,6
211
51
333
65,4
248
101
967
248,9
135
184
187
47,3
336
10
448
499
116.9
121
122
100.3
65
92
95
76.2
1.837
2.150
361.5
34
36
37
50.6
150
152
127.2
37
6
46
45.0
373
396
119.3
87
89
43.3
776
159
1.036
203.5
401
143
2.179
561.0
89
407
418
105.8
1.176
47
1.516
1.617
378.9
415
442
363.6
193
291
300
240.6
1.692
2.255
379.2
204
241
247
338,1
385
408
341,5
120
7
161
157,5
548
856
257.8
547
580
282.1
1,896
515
2.938
577.1
2,185
723
9,933
2,557.1
717
2,054
2,087
528.3
2.612
246
4.965
5.332
1,249.4
1,903
1,979
1.627.8
1.415
2,378
2,438
1,955.4
9,395
11,325
1.904.3
742
968
993
1.359.2
1,986
2,153
1,802.1
660
146
1,016
993.6
2,860
3.767
1.134.5
2.305
2.595
1.262.1
5,398
1,177
9,067
1.7809
3.840
1.842
19.546
5.031.8
2.228
6.896
7,008
1,774.0
6.043
1.369
14.338
15.566
3,647,4
5,718
5,871
4.829.1
3.661
4.636
4.829
3.873.1
20,069
22,921
3.854.1
2.813
3.474
3.573
4.890.5
3.612
3.759
3,146.3
1,852
545
2,999
2,932.9
9.372
12.396
3.733.1
8.955
10.157
4.939,9
12.987
3,923
22,633
4,445.5
313
119
1,697
4369
183
523
538
136.2
657
162
1.293
1.529
358.3
591
616
506.7
255
349
361
289.5
3,672
4,129
694.3
169
207
214
292.9
316
325
272.0
114
50
212
207.3
787
935
281.6
401
435
211.6
931
237
1,672
328.4
Winter Haven
Total area actually repoiling
Rate per 100,000 inhabitants
Lancaster, Pa. M.S.A
(Includes Lancaster County.)
City of Lancaster
Total area actually reporting
Rale per 100.000 inhabitants
Lansing-East Lansing, Mi. M.S.A
(Includes Clinton, Eaton and Ingham
Counties.)
City of:
Lansing
East Lansing
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Laredo, Tx. M.S.A
(Includes Webb County.)
Total area actually reporting
Rate per 100,000 mhabitants
Las Cruces, N.M. M.S.A
(Includes Dona Ana County.)
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Las Vegas, Nv. M.S.A
(Includes Clark County.)
City of Las Vegas
Total area actually reporting
Rate per 100,000 inhabitants
Lawrence, Ks. M.S.A
(Includes Douglas County.)
Total area actually repotting
Rate per 100,000 inhabitants
Lawton, Ok. M.S.A
(Includes Comanche County.)
Total area actually reporting
Rate per 100.000 inhabitants
Lewiston-Auburn, Me. M.S.A
(Includes part of Androscoggin
Counly,)
City of:
Total area actually reporting
Rate per 100,000 inhabitants ,,
Lexington-Fayette, Ky. M.S.A
(Includes Bourbon. Clark, Fayette,
Jessamine, Scott and Woodford
Counties.)
City of Lexington
Total area actually reporting , ,
Rale per 100.000 inhabitants
Lincoln, Nb. M.S.A
(Includes Lancaster County.)
1
1,0
12
17
5,1
10
11
5,3
28
9
47
9,2
Total area actually reponing
Rate per 100.000 inhabitants
Little Rock-North Little Rock, Ar.
M.S.A
(Includes Faulkner. Lonoke, Pulaski
and Saline Counties.)
City of:
Little Rock
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.
332
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Mciatpolilin Siaii&iical Area
Longview-Marshall. Tx. M.S.A
(Includes Gregg and Harrison
Counlies.)
Cily of:
Longvicw
Marshall
Total area actually reporting
Rate per 100.000 inhabitants
Lorain-Elyria, Oh, M.S.A
(Includes Lorain County.)
City of:
Lorain
Elyria
Total area actually importing
Estimated total
Rate per 100.000 inhabitants
Los Angeles-Long Beach, Ca. M.S.A
(Includes Los Angeles County.)
City of:
Los Angeles
Long Beach
Total area actually reporting
Rate per 100.000 inhabitants
Louisville. Ky.-In. M.S.A
(Includes Bullitt, Jefferson. Oldham
and Shelby Counties. Ky.. and Clark.
Floyd and Harrison Counties. In.)
City of Louisville
Total area actually reporting
Estimated total
Rate per 100,000 mhabilants
Lubbock, Tx. M.S.A
(Includes Lubbock County.)
City of Lubbock
Total area actually reporting
Rate per 100.000 inhabitants
Lynchburg, Va. M.S.A
(Includes Lynchburg City and
Amherst and Campbell Counties.)
City of Lynchburg
Total area actually reporting
Rate per 100.000 inhabitants
Macon-Warner Robins, Ga. M.S.A....
(Includes Bibb, Houston. Jones and
Peach Counties.)
City of:
Macon
Warner Robins
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Madison, Wi. M.S.A
(Includes Dane County.)
City of Madison
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Manchester. N.H. M.S.A
(Includes part of Hillsborough.
Merrimack and Rockmgham
Counties.)
City of Manchester
Total area actually reporting
Rate per 100.000 inhabitants
Mansfield, Oh. M.S.A
(Includes Richland County.)
City of Mansfield
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
McAllen— Ed in burg-Mission, Tx.
M.S^
(Includes Hidalgo County.)
City of:
McAllen
Edinburg
Mission
Total area actually reporting
Rate per 100.000 inhabitants
Populalion
177.028
74.344
24,365
100.0%
266,599
73.006
57,362
99.5%
100.0%
8,505,597
3.341,726
406,297
100.0%
963,727
286,516
93.3%
100.0%
225,396
187,596
100.0%
147,123
69,378
100.0%
287,642
Crime
IndcK
lulal
143,434
100,131
100.0%
129,493
52,041
98.6%
100.0%
368,247
83,834
31.762
31.430
100.0%
5,422
1,239
9,724
5,492.9
2,19!
2,494
7.472
7.532
2,825.2
288,509
31,364
577.027
6,784. 1
19,438
47,429
50.167
5,205.5
18,594
21,258
9,431.4
3.460
4.858
3,302.0
Modiricd
Cnmc
IndcK
total'
120,703
9,906
46,500
3,458
96.8%
16,714
100.0%
17.398
6,048.5
339,822
176.542
11,960
98.7%
17,214
100.0%
17,401
5.120.6
5.935
7.372
5,139.6
4,023
6,350
6,424
4,960.9
8,682
1,740
1.491
22,949
6.232.0
Violent
cnmc"
247
141
642
362.7
167
136
746
749
280.9
63,833
4.660
1 14.992
1,352.0
2,695
4.898
5.052
524.2
1.107
1.231
546.1
352
512
348.0
625
290
1,115
1.168
406.1
377
597
604
177.7
193
241
168.0
564
797
801
618.6
405
80
86
1.390
377.5
Property
crime'
5.175
1.098
9,082
5,130.3
2,024
2,358
6,726
6,783
2,544.3
224,676
26,704
462.035
5.432.1
16.743
42.531
45,115
4.681.3
17.487
20.027
8,885.3
3,108
4.346
2.954.0
9.281
3.168
15,599
16,230
5.542.4
11.583
16.517
16.797
4.942.9
5.742
7.131
4,971.6
3,459
5.553
5.623
4.342.3
8.277
1.660
1,405
21,559
5.854.5
Murder
und non-
negligent
man-
slaughter
6
6
22
12.4
811
52
1,412
16.6
43
55
57
7.0
24
29
12.9
14
3
24
25
8.7
4
5
3.5
Forcible
rape
3
1
1
25
6.8
46
76
42.9
33
26
95
95
35.6
2,169
221
4,275
50.3
92
284
298
30.9
130
159
70.5
25
35
23.8
63
19
106
110
38.2
48
59
59
17.4
22
26
18.1
36
40
40
30.9
25
2
3
79
21.5
Robbery
90
21
146
82.5
55
43
132
133
49.9
26,192
2,467
44,318
521.0
1.541
2,220
2,253
233.8
359
372
165.0
61
68
46.2
Aggra-
vated
assault
104
107
74.6
128
146
147
113.5
84
24
14
205
55.7
105
106
398
224.8
79
67
517
519
194.7
34,661
1.910
54.986
754.0
1,019
2,329
2,434
252.6
594
671
297.7
262
395
269.2
Burglary
203
345
2,195
96
172
955
359
626
4.366
379
654
4.527
31.8
227.4
1,573.8
185
138
2,370
223
309
3,161
225
314
3,193
66.2
92.4
939.6
63
103
71.8
400
611
614
474.2
293
53
68
1,081
293.6
1,416
272
2,700
1,525.2
766
675
2,035
2,046
757.4
52,927
7,147
121,839
1,432.5
5,525
12,006
12,519
1,299.0
5,891
5.803
3,018.2
488
712
483.9
Larceny-
theft
1,298
1,593
1,110.5
1.070
1.512
1,525
1.177.7
1.757
535
377
5,721
1,825.1
3.464
771
5.858
3,309.1
1,101
1,440
4,187
4,228
1,585.9
1 14.543
14.366
234,228
2.753.8
9,928
27.288
29.149
3,024.6
10.783
12,314
5,463.3
2.494
3.446
2.342.3
6.453
2.009
10,215
10,626
3,694.2
8.574
12.504
12,745
3.750.5
4,063
5,074
3.537.5
2,199
3,740
3.791
2,927.6
5,770
1.020
941
13.284
3.607.4
Motor
vehicle
then
295
55
S24
296.0
157
242
504
509
190.9
57.106
5.191
105.968
1.245.9
1,289
3,237
3,447
357.7
813
910
403.7
126
1
127.8
533
194
1.018
1.077
374.4
639
852
859
252.8
381
464
323.5
190
301
307
237.1
750
105
87
1,554
422.0
See Toolnotes at end or (able.
333
APPENDIX IV — Index of Crime, Metropolitan Statistical A
reas, 1987 — Con
tinned
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total '
Violent
cnme"
Property
cnme'
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Areon'
Medford, Or. M.S.A
{Includes Jackson County.)
141,354
44,002
100,0%
371,970
58,432
43,201
47,021
100,0%
969,020
659.720
93,0%
100,0%
167,633
48.209
100,0%
1,822,255
385,089
166,583
100.0%
956,650
99.9%
100.0%
59,997
39,122
100.0%
112,014
98.689
100,0%
1,386,071
607.885
99.7%
100.0%
2,310,671
359.371
265.550
100,0%
473,560
204,800
99,9%
100,0%
3,885
7.239
5.121,2
6.076
2.539
2.747
24.445
6.571,8
63.824
74.760
77,202
7.967,0
3.686
8.129
4.849,3
58,791
15,478
225,719
12.386,8
34.159
34.201
3,575,1
2,248
2.741
4.568,6
4.807
5.709
5.096,7
50.398
75.911
76.075
5.488,5
45.356
21.360
138,721
6.003,5
21.623
32.598
32.634
6.891,2
150
369
2610
671
225
172
2.497
671,3
8.833
9.835
10.003
1.032,3
230
794
473,7
11.309
1.619
33.060
1.814,2
2.297
2.300
240.4
141
170
283.3
448
566
505.3
6.008
6.997
7.003
505.2
5,538
2.289
10.078
436.2
2.972
4.588
4,593
969 9
3.735
6.870
4.860 1
5.405
2.314
2.575
21.948
5.900.5
54.991
64,925
67,199
6.934.7
3.456
7.335
4.375.6
47.482
13.859
192.659
10.572.6
31.862
31.901
3.334,7
2.107
2.571
4.285.2
4.359
5,143
4.591.4
44.390
68.914
69.072
4.983,3
39.818
19.071
128.643
5,567 3
18.651
28,010
28,041
5,921,3
1
3
2,1
3
1
6
16
4,3
143
164
169
17,4
2
8
4.8
128
12
367
20,1
24
24
2,5
1
1
1,7
10
11
9,8
92
105
105
76
38
12
78
3 4
32
55
55
116
24
47
33,2
22
15
17
114
30,6
831
952
987
101,9
14
49
29,2
202
30
914
50,2
156
156
163
19
22
36,7
36
58
51,8
437
480
480
34,6
520
218
1.058
45,8
127
206
206
43,5
56
77
54,5
137
65
28
590
1586
4,696
4.963
4,998
515,8
85
148
88,3
5,594
771
14,537
797.7
611
612
64.0
39
40
66.7
97
108
96.4
1.984
2.223
2.224
160.5
2.866
746
4.145
179 4
775
1,013
1.014
214.1
69
242
171 2
509
144
121
1.777
477.7
3.163
3,756
3,849
397.2
129
589
351,4
5,385
806
17.242
9462
1.506
1.508
157,6
82
107
178.3
305
389
347.3
3.495
4.189
4.194
302,6
2.114
1.313
4797
207,6
2.038
3.314
3.318
700,7
795
1.676
1.185,7
1.247
760
761
5,874
1,579,2
18,451
21,627
22,807
2.353,6
838
2.186
1.304,0
11,875
3,174
52,607
2,886.9
6,829
6,837
7147
430
529
881.7
1.726
2.068
1.846,2
9.964
14.572
14.600
1.053.3
11.987
6.183
32.825
1.420.6
9.429
12.879
12.887
2.721.3
2.770
4.797
3.393.6
3.965
1.403
1.723
14,991
4,030.2
22,971
28,583
29,497
3.044.0
2.386
4.667
2.784,1
27.548
7.842
109.088
5,986,4
20,765
20,790
2,173,2
1,496
1,818
3.030,2
2.346
2.754
2.458,6
28.680
47.426
47.550
3.430,6
23.254
11.578
85,787
3.712,6
8,280
13,723
13,744
2,902,3
170
397
280,9
193
151
91
1,083
291.2
13,569
14.715
14,895
1,537.1
232
482
287.5
8,059
2,843
30,964
1,699.2
4,268
4,274
446.8
181
224
373.4
287
321
286.6
5,746
6,916
6,922
499.4
4577
1,310
10,031
4341
942
1,408
1,410
297.7
Total area actually reporting
Rate per lOO.OCX) inhabitants
Melbourne-Titusville-Palm Bay, Fl.
M.S.A
(Includes Brevard County.)
City of:
Titusville
Total area actually reporting
Rate per 100,000 inhabitants
Memphis, Tn.-Ar.-Ms. M.S.A
(Includes Shelby and Tipton Counties,
Tn,, Crittenden County. Ar.. and De
Soto County. Ms.)
City of Memphis
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Merced, Ca. M.S.A
(Includes Merced County.)
Total area actually reporting
Rale per 100.000 inhabitants
Miami-Hialeah, Fl. M.S.A
(Includes Dade County.)
City of:
Hialeah
Total area actually reporting
Rate per 100,000 inhabitants
Middlesex-Somerset-Hunterdon, N.J.
MSA
(Includes Hunterdon, Middlesex and
Somerset Counties.)
Total area actually reporting
Estimated tola!
Rate per 100,000 inhabitants
Middletown, Ct. M.S.A
(Includes part of Middlesex County.)
Total area actually reporting
Rate per 100,000 inhabitants
Midland, Tx. M.S.A
(Includes Midland County.)
Total area actually reporting
Rate per 100.000 inhabitants
Milwaukee, Wi. M.S.A
(Includes Milwaukee, Ozaukee,
Washington and Waukesha Counties.)
Rale per 100.000 Inhabitants
Minneapolis-St. Paul, Mn.-Wi.
M.S.A.
(Includes Anoka, Carver. Chisago,
Dakota, Hennepin, Isanti, Ramsey.
Scott, Washington and Wright
Counties, Mn.. and St. Croix County,
Wi.)
City of:
Saint Paul
Total area actually reporting
Rate per 100,000 inhabitants
Mobile, Al. M.S.A
(Includes Baldwin and Mobile
Counties.)
City of Mobile
Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table.
334
APPENDIX IV — Index of Crime
, Metropolitan Statistical Areas, 1987 — Continued
Mciropoluan Siatisiical Area
Population
Cnmc
index
total
Modified
Crime
Indei
total'
Violent
crime'
Property
cnme'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
l.arccny-
thcfl
Motor
vehicle
theft
Arwn'
slaughter
Modesto, Ca. M.S.A
324,603
(Includes Stanislaus Coun!y.)
Cily of Modesto
136,300
10,471
713
9.758
7
62
246
398
2.338
6,640
780
Total area actually reporting
100.0%
22,592
2,110
20.482
21
157
449
1,483
5.975
13,054
1,453
Rate per 100.000 inhabitants
6.9599
650.0
6..109.9
6.5
48.4
138.3
456.9
1.840.7
4,021.5
447.6
\fnn mouth— Ocean N J NI.S.A
941,679
(Includes Monmouth and Ocean
Counties)
Total area actually reporting
100.0%
.17,436
2,476
34.960
23
214
556
1,683
7.488
24,947
2,525
Rate per 100.000 inhabitants
3.975.5
262.9
3.712.5
2.4
22.7
59.0
178.7
795.2
2,649.2
268.1
Monroe, La. M.S.A
144,594
(Includes Ouachita Parish.)
City of Monroe
55,707
5.1.19
809
4.3.30
7
43
60
699
1,216
2,929
185
Total area actually reporting
100.0%
8.214
1,043
7.171
9
70
82
882
1,981
4888
302
Rale per 100.000 inhabitants
5.680.7
721.3
4.959,4
6.2
48.4
56.7
610.0
1,370.0
3,380.5
208.9
Montgomery, Al. M.S.A
304.014
(Includes Autauga, Elmore and
Montgomer> Counties.)
City of Montgomcr>
195,762
10.106
329
9.777
22
16
179
112
1,939
7,268
570
Total area actually reporting
100.0%
13.599
821
12,778
31
35
234
521
3,032
9,034
712
Rate per 100.000 inhabitants
4.473.1
270.1
4,203.1
102
11.5
77.0
171.4
997.3
2,971.6
234.2
Muncie. In. M.S.A
121,502
(Includes Delaware County.)
Citv of Muncie
72.961
3,656
183
3,473
8
23
87
65
937
2,265
271
Total area actually reporting
100.0%
4,310
291
4,019
10
37
97
147
1,108
2,612
299
Rate per 100.000 inhabitants
3.547.3
239.5
3,307.8
8.2
30.5
79.8
121.0
911.9
2,149.8
246.1
Muskegon. Mi. M.S.A
159,274
(Includes Muskegon County.)
City of Muskegon
40,004
5.280
1,139
4,141
5
41
95
998
1,055
2,971
115
Total area actually reporting
100.0%
11.084
1,640
9,444
9
82
196
1,353
2,123
7,027
294
Rate per 100.000 inhabitants
6.959 1
1,029.7
5,929.4
5.7
51.5
123.1
849.5
1,332.9
4,411.9
1846
Naples. FI. M.S.A
125,020
(Includes Collier County.)
City of Naples
20,071
1.600
99
1,501
4
5
29
61
319
1,125
57
Total area actually reporting
100.0%
8.388
721
7,667
19
59
179
464
2,551
4,697
419
Rate per 100,0(X) inhabitants
6.709.3
576.7
6.132.6
15.2
47.2
143.2
371.1
2,040.5
3,757.0
335.1
Nashua, N.H. M.S.A
167,416
(Include pan of Hillsborough and
Rockingham Counties.)
City of Nashua
78,753
3.171
116
3.055
5
48
35
28
603
2,212
240
Total area actually repoHing
98.3%
4.954
201
4.753
8
63
39
91
942
3,456
355
Estimated total
100.0%
5.055
207
4848
8
64
40
95
961
3,524
363
Rate per 100.000 inhabitants
3.019,4
123.6
2,895.8
48
38.2
23.9
56.7
574.0
2,104.9
216.8
Nashville, In. M.S.A
934,134
(Includes Cheatham. Davidson,
Dickson. Robertson. Rutherford,
Sumner. Williamson and Wilson
Counties.)
City of Nashville
487,097
90.1%
43,001
54.892
5,253
6,552
37,748
48,340
99
111
509
580
2,350
2,559
2,295
3,302
11,358
14,580
22,602
29,255
3,788
4,505
Total area actually reporting
Estimated total
100.0%
57,792
6,186.7
6,803
728.3
50,989
5,458.4
115
12.3
601
64.3
2,609
279.3
3,478
372.3
15.486
1,657.8
30,772
3,294.2
4731
506.5
Rate per 100,000 inhabitants
Nassau-Suffolk. N.Y. M.S.A
2,642,843
(Includes Nassau and Suffolk
Counties.)
Total area actually reporting
100.0%
97,731
6,664
91,067
77
367
3,030
3,190
21.116
58.558
11,393
Rate per 100.000 inhabitants
3,697.9
252.2
3,445.8
2.9
13.9
1146
120.7
799,0
2,215.7
431.1
Estimated total
100.0%
97,766
3,699.3
6,667
252.3
91,099
3,447.0
77
2.9
367
13.9
3,031
1147
3,192
120.8
21,123
799.3
S8,S8I
2,216.6
11,393
431.2
Ltf.91 1 1 1 Itf IW\> IV/fc.*! ,... '
Rale per 100,000 inhabitants
Newark, N.J. M.S.A
1,901,642
(Includes Essex, Morris, Sussex and
Union Counties.)
City of Newark
318,402
100.0%
40,185
116,541
8,926
16,689
31,259
99,852
81
135
577
1.071
4,230
7,887
4.038
7,596
5,968
20,029
11,400
50,944
13,891
28,879
Total area actually reporting
Rate per 100,000 inhabitants
6,128.4
877.6
5,250.8
7.1
56.3
4147
399.4
1,033.2
2,678.9
1,318.6
New Bedford, Ma. M.S.A
173,155
(Includes part of Bristol and
Plymouth Counties.)
City of New Bedford
96,832
88.6%
7,049
9,722
822
983
6,227
8,739
5
5
39
43
241
276
537
659
2,326
2,943
2,491
3,736
1,410
2,060
Total area actually reporting
Estimated total
100.0%
10,352
5,978.5
1,032
596.0
9,320
5,382.5
5
2.9
46
26.6
287
165.7
694
400.8
3,085
1,781.6
4,069
2,349.9
2,166
1,250.9
Rate per IOO,OCO inhabitants
New Britain, Ct. M.S.A
145,592
(Includes pan of Hartford County.)
City of New Britain
72,544
5,543
536
5.007
7
35
263
231
1,463
3,142
402
Toul area actually reporting
100.0%
7,849
623
7.226
7
41
297
278
2,052
4610
564
Rate per 100,000 inhabiunts
5,391.1
427.9
4.963.2
4.8
28.2
204.0
190.9
1,409.4
3,166.4
387.4
See footnotes at end of table.
335
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
cnme"
Property
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
a-ssault
Burglary
Larceny-
theft
Motor
vehicle
theft
New Haven-Meriden, Ct. M.S. A
(Includes pati of Middlesex and New
Haven Counties.)
City of:
New Haven
Meiiden
Total area actually reporting
Rale per 100.000 inhabitants
New London-Norwich, Ct.-R.I.
M.S.A
(Includes pail of New London and
Windham Counties. Ct.. and
Washington County, R.L)
City of:
New London
Nonvich
Total area actually reporting
Rale per 100,000 inhabitants .
New Orleans, La. M.S.A
(Includes Jefferson. Orleans. St.
Bernard. St. Charles. St. John the
Baptist and St. Tammany Parishes.)
City of New Orleans
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
New York, N.Y. M.S.A
(Includes Bronx. Kings, New York.
Putnam. Queens. Richmond. Rockland
and Westchester Counties.)
City of New York
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Niagara Falls, N.Y. M.S.A
(Includes Niagara County.)
City of Niagara Falls
Total area actually reporting
Rate per 100.000 inhabitants
Norfolk-Virginia Beach-Newport
News, Va. M.S.A
(Includes Gloucester. James City and
York Counties, and Chesapeake.
Hampton, Newport News. Norfolk,
Portsmouth, Poquoson, SufTolk,
Virginia Beach, and Williamsburg
Cities.)
City of:
Norfolk
Virginia Beach
Newport News
Total area actually reporting
Rale per 100,000 inhabitants
Norwalk, Ct. M.S.A
(Includes part of Fairfield County.)
City of Norwalk
Total area actually reporting
Rate per 100.000 inhabitanti
Oakland, Ca. M.S.A
(Include! Alameda and Contra Coita
Countiet.)
City of Oakland
Total area actually reporting
Rate per 100,000 Inhabitants
Ocila, FI, M.S,A
(Includes Marion County.)
City of Ocala
Total area actually reporting
Rate per 100,000 inhabitants
Odeaai, Tx. M.S.A
(Includes Ector County.)
City of Odessa
Total area actually reporting
Rate per 100,000 inhabitants
549,658
124,313
58,728
100.0%
274,482
28,800
38,275
100.0%
1,322,553
549,536
82.6%
100.0%
8,498,622
7,284,319
99.3%
100.0%
217,546
64,742
100.0%
1,335,942
280,370
340,158
164,978
100.0%
127,787
77,760
100.0%
1,982,682
363,983
100.0%
176,099
46,465
100.0%
133,954
101,859
100.0%
16,057
2,428
31.864
5,797.1
2.393
1.838
10.399
3,788.6
51,001
88,231
100,775
7,619.7
656,505
704,120
706,216
8.309.8
4,124
9,576
4.401.8
20,732
18.703
7,912
75.648
5,662.5
5.555
7.112
5,565.5
44,535
147,487
7,438.8
6.758
12,774
7,253.9
10,229
12,071
9,011 3
2,191
102
2,947
536.2
181
139
718
261 6
7,678
11,284
12,395
937.2
148,313
152,264
152,411
1,793.4
390
834
383.4
2,140
718
751
6,061
453.7
254
273
213.6
6,483
17.003
857.7
633
1,429
811.5
537
587
438.2
13,866
2,326
28,917
5,260.9
2,212
1,699
9,681
3,527.0
43,323
76,947
88,380
6,682.5
508,192
551,856
553,805
6,516.4
3.734
8.742
4.018.5
18.592
17,985
7,161
69,587
5,208.8
5.301
6.839
5,351.9
38,050
130,482
6,581.1
6.125
11,345
6,442.4
9,692
11,484
8,573.1
2
1
6
2.2
205
229
239
18.1
1,672
1,731
1,733
20.4
50
II
16
137
10.3
3
6
4.7
114
198
10.0
13
22
12.5
10
13
9.7
133
II
190
34.6
12
13
67
24.4
359
558
626
47.3
3,507
3,664
3,673
43.2
31
68
31.3
181
124
73
579
43.3
10
II
8.6
338
1,097
35.3
46
126
71.6
38
58
43.3
1,015
53
1,288
234.3
90
47
207
75.4
3,786
4,897
5,130
387.9
78,890
80,775
80,826
951.0
197
263
120.9
1,007
322
243
2,439
182.6
167
177
138.3
3,176
6.379
331.8
207
302
171.5
103
III
829
1,020
35
1,437
261 4
77
78
438
159 6
3,328
5,600
6,400
4839
54,244
56,094
66,179
778.7
158
499
229.4
902
261
419
2,906
217.5
72
79
61.8
2,637
9,131
460.3
367
979
353.9
386
405
302.3
3.995
736
7.817
1.422.2
640
375
2.633
959.3
11,999
21,123
24,008
1,815.3
123,412
132,723
133,170
1.567.0
1.172
2.515
1.156.1
4.645
4,045
1,765
16,312
1,236.0
1,388
1,728
1,332.3
10,793
33,873
1.708.3
1,928
4,032
2,301.0
2,893
3.605
2,691.2
7.713
1.370
17.453
3.175.2
1.393
1.212
6.346
2,312.0
22,365
44,370
52,315
3.955.6
289,126
318,520
319,850
3.763.6
2,297
5,708
2.623.8
12,713
13,181
4,928
49,282
3,688.9
3,252
4,321
3.381.4
22,448
83,892
4,231.2
3,937
6,745
3,830.2
6,433
7,439
5,553.4
2,158
220
3,647
6635
179
112
702
255.8
8,959
11,454
12,057
911.6
95,654
100,613
100,785
1,185.9
265
519
238.6
1,234
759
468
3,793
283.9
661
790
618.2
4,809
12,713
641.3
260
348
311.2
364
440
328.3
See footnotes at end of table.
336
APPENDIX IV — Index of Crime, Metropolitan Statistical A
rcas, 1987 — Continued
Melmpiililan Slilistical Areji
Population
Cnmc
Indcv
lolal
M,>dillnJ
Cnmc
Index
ioibI'
Violcnl
cnmc-
Properly
cnmc'
Murder
and non-
ncgllgcnl
man-
Forcible
rape
Robbcrv
Aggra
vated
assaull
Burglar)
Larccny-
Ihcfl
Molor
vehicle
then
Arson'
slaughlct
Oklahoma City. Ok. M.S.A
973,217
(Includes Canadian, Cleveland, Logan,
McClain. Oklahoma and Pollawalomie
Counlies.)
Ciiy of Oklahoma Ciiy
441,408
56.057
3.798
52,259
48
381
1,322
2,047
17,345
28.159
6.755
Total area actually reporting
100.0%
87,220
5.429
81,791
71
529
1,729
3,100
26,055
46,359
9,377
Rale per 100,000 inhabitants
8.962.0
557.8
8,4042
7.3
54.4
177.7
318.5
2,677,2
4,763.5
963.5
Olympia, Wa, M.S.A
149,080
(Includes Thurston County.)
City of Olympia
30.: 1 3
2,109
58
2,051
9
13
36
376
1.601
4.650
74
Total area actually reporting
98.3%
7,157
301
6,856
2
67
39
193
1,923
283
Estimated total
100.0%
7,416
308
7,108
2
68
41
197
2,025
4.789
294
Rale per 100,000 inhabitants
4.974.5
206.6
4,767.9
1.3
45.6
27.5
132.1
1,358,3
3,212,4
197,2
Omaha, Nb.-la. M.S.A
612,527
(Includes Douglas, Sarpy and
Washington Counties. Nb., and
Pottawattamie County, la.)
City of Omaha
374.974
24.383
2.536
21,847
28
189
570
1,749
5,338
15,292
1,217
Total area actually reporting
100.0%
33.984
2.968
31,016
30
232
675
2,031
7,546
21,772
1,698
Rate per 100.000 inhabitants
5,548,2
484.6
5,063.6
4.9
37.9
110.2
331.6
1,231.9
3,554,5
277,2
Orange County, N.Y. M.S.A
282,539
(Includes only Orange County.)
Total area actually reporting
100.0%
11,785
1.270
10,515
9
56
410
795
3,040
6,787
688
Rale per 100.000 inhabitants
4,171.1
449.5
3,721.6
3.2
19.8
145.1
281.4
1,076.0
2,402,1
243,5
Orlando, n. M.S.A
925,187
(Includes Orange, Osceola and
Seminole Counties.)
City of Orlando
150.250
13.884
3,411
15,473
27
181
1,029
2.174
4,515
9,853
1,105
Total area actually reporting
100,0%
70,807
8,471
62,336
82
470
2,474
5,445
20,034
38,080
4,222
Rale per 100,000 inhabitants
7,653.3
915,6
6,737.7
8.9
50.8
267.4
588,5
2,165.4
4,115,9
456.3
Owensboro, Ky. M.S.A
87,514
(Includes Daviess County.)
City of Owensboro
56,289
2,993
79
2,914
7
21
18
33
691
2,129
94
Total area actually reporting
100.0%
3.481
100
3,381
9
26
23
42
879
2,389
113
Rale per 100,000 inhabitants
3.977.6
114,3
3,863.4
10.3
29.7
26.3
48,0
1,004.4
2,729.8
129.1
Oxnard-Ventura. Ca. M.S.A
626,444
(Includes Ventura County.)
City of
Oxnard
130,190
87,856
100.0%
7,859
4,687
25,041
880
385
2,756
6,979
4,302
22,285
4
2
18
70
26
201
339
145
738
467
212
1,799
2,023
1,129
6,542
4,371
2,836
13,802
585
337
1,941
Ventura
Total area actually reponing
Rate per 100,000 inhabitants
3,997.3
439,9
3,557.4
2.9
32.1
117.8
287.2
1,044.3
2,203,2
309.8
Panama City, Fl. M.S,A
125,947
(Includes Bay County.)
City of Panama City
36.692
3.275
220
3.055
2
40
79
99
694
2,246
115
Total area actually reporting
100.0%
7,545
516
7,029
11
99
144
262
1,661
4,979
389
Rate per 100,000 inhabitants
5,990.6
409.7
5,580.9
8.7
78.6
114.3
208,0
1,318.8
3,953.3
308.9
Parkeraburg-Marletta, W.V.-Oh.
M.S.A
155,958
(Includes Wood County, W.V., and
Washington County, Oh.)
City of:
Parkersburg. W.V
38,102
1,698
63
1,63S
2
13
16
32
458
1,098
79
Marietta, Oh
16,558
99.5%
502
4,001
31
156
471
3,845
1
4
5
28
4
25
21
99
153
1,085
283
2,581
35
179
Total area actually reporting
Estimated total
100.0%
4,031
2.584.7
158
101.3
3.873
2,483.4
4
2.6
28
18.0
26
16,7
100
64.1
1,090
698.9
2,602
1,668.4
181
1161
Rate per 100,000 inhabitants
Pucigoula, Ml, M.S.A
128,195
(Includes Jackson County,)
Ciiy of Pascagoula
30,859
2,735
421
2,314
3
19
64
335
774
1,441
99
Total area actually reporting
100.0%
6,049
606
5,443
4
48
87
467
2,092
3,052
299
Rate per 100,000 inhabitants
4,718.6
472.7
4,245.9
3.1
37,4
67.9
364,3
1,631,9
2,380.7
233,2
Peniacoli, Fl. M.S.A
347,151
(Includes Escambia and Santa Rosa
Counties.)
City of Pensacola
65,723
100.0%
4,876
22,029
540
2,816
4,336
19,213
9
24
30
214
109
512
392
2,066
1,134
5,644
3,021
12,572
181
997
Total area actually reporting
Rate per 100,000 inhabitants
6.345.7
811.2
5,534.5
6,9
61,6
147,5
595,1
1,625.8
3,621.5
287.2
Peoria, 11. M.S.A.*
341,397
(Includes Peoria. Tazewell and
Woodford Counties.)
City of Peona*
110.613
8,609
7
182
972
2,402
5,949
258
Total area actually reporting
98.9%
13,519
10
211
1,182
3,687
9.414
418
Estimated Iota!
100 0%
13,689
10
215
1,190
3,724
9,532
433
Rate per 100.000 inhabitants
4,009.7
2.9
63.0
3486
1,090.8
2,792.1
126.8
See footnotes at end of table.
337
APPENDIX IV — Index of Crime, Metropolitan Statistical A
reas, 1987 — Continued
Metropolitan Statistical Area
Population
Crime
Index
lotal
Modified
Crime
Indei
total'
Violent
cnme-
Properly
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
valed
assault
Burglary
Larceny-
theft
Motor
vehicle
ihefl
Arson'
Philadelphia, Pa.-N,J, M,S,A
(Includes Bucks, Chester, Delaware.
Montgomery and Philadelphia
Counties. Pa., and Burlington.
Camden and Gloucester Counties.
N.J.)
City of Philadelphia
Total area actually reporting
4,848,006
1,649,364
99,2%
100.0%
1,967,869
933,177
100.0%
90,626
61,747
100.0%
2,129,920
389,015
96.8%
100.0%
101,411
49,776
84.4%
100.0%
223,057
63,386
100.0%
1,163,953
390,845
100.0%
207,295
26,731
24,467
24,055
100.0%
257,564
30,079
98.6%
100.0%
652,848
158,978
99.2%
100,0%
242,623
78,164
62.134
100,0%
94.575
213.591
214.603
4,426,6
83.960
149,358
7.589,8
4.453
5.048
5.5701
30.836
64.901
66,680
3.130,6
1.768
2.308
2.815
2,775,8
8,074
14.127
6,333,4
64.802
102,951
8,844,9
1.370
1.136
1.084
7.826
3,775,3
2,039
8,076
8.202
3.184,5
19.082
39.039
39,218
6,007,2
3,428
2,912
10,658
4,392,8
17.398
29,788
29,875
616.2
8,181
12,759
648.4
563
632
697.4
4,318
7,426
7.580
355.9
205
247
287
283.0
522
670
300.4
8,763
10.585
909.4
169
12
130
430
207.4
251
826
835
324.2
1.754
2.828
2.837
434.6
161
104
358
147.6
77.177
183.803
184.728
3.810.4
75.779
136.599
6.941.5
3.890
4,416
4.8728
26.518
57,475
59,100
2,774,8
1,563
2,061
2,528
2,492.8
7.552
13,457
6,033.0
56,039
92,366
7.935.5
1.201
1.124
954
7.396
3.567.9
1.788
7,250
7,367
2,860.3
17,328
36,211
36,381
5,572.7
3,267
2.808
10,300
4,245.3
338
452
453
9.3
111
168
8.5
7
9
9.9
37
66
67
3.1
1,102
1,834
1,839
37.9
503
841
42.7
51
61
67,3
263
574
583
27,4
31
33
36
35.5
29
45
20.2
407
671
57.6
8
1
44
64
30.9
17
29
29
11.3
98
196
197
30.2
9
10
32
13,2
9,302
12,537
12,556
259,0
2,287
3.197
162,5
102
108
119,2
2.834
3.651
3.683
172,9
35
43
52
51,3
147
172
77,1
3,667
4,369
375.4
15
2
4
44
21.2
184
248
251
97.5
735
883
885
135.6
13
4
24
9.9
6,656
14,965
15,027
310.0
5.280
8,553
434.6
403
454
501.0
1.184
3.135
3.247
152.4
139
171
199
1962
344
447
200.4
4.623
5.452
468.4
146
9
80
318
153.4
50
537
543
210.8
901
1,718
1,724
264.1
138
90
297
122.4
20,070
44,452
44,643
920.9
21.185
35.158
1,786.6
1,115
1,370
1,511.7
7,647
15,802
16,136
7576
587
749
863
8510
1.563
2,785
1,248.6
15.185
26.385
2.266.8
225
124
215
1.445
697.1
552
1,816
1,842
715,2
5,499
10,587
10,639
1,629,6
633
306
1,638
675.1
41.784
111.016
111.661
2.303.2
48.700
91,739
4.661.8
2,628
2,867
3,163.6
11,723
30,036
31,178
1,463.8
825
1.110
1.378
1.358.8
5.578
9.981
4.474.6
35,695
57,843
4,969.5
913
952
693
5,559
2,681.7
1.124
5.056
5.138
1,9948
8.109
19.458
19,557
2,995.6
2,529
2,418
8,323
3,430.4
15.323
28.335
28.424
586.3
5.894
9,702
493.0
147
179
197.5
7,148
11,637
11,786
553.4
151
202
287
2830
411
691
309.8
5,159
8,138
699.2
63
48
46
392
189.1
112
378
387
150.3
3,720
6,166
6,185
947.4
105
84
339
139.7
Rale per 100,000 inhabitants
Phoenix, Az, M.S.A
(Includes Maricopa County.)
Total area actually reporting
Rate per 100.000 inhabitants
Pine Bluff, Ar, M.S.A
(Includes Jefferson County.)
City of Pine Bluff
Total area actually reporting
Rate per 100.000 inhabitants
Pittsburgh, Pa. M.S.A
(Includes Allegheny. Fayette.
Washington and Westmoreland
Counties.)
City of Pittsburgh
Total area actually reporting
Rate per 100.000 inhabitants
Pittsfield, Ma. M.S.A
(Includes part of Berkshire County.)
City of Pittsfield
Total area actually reporting
Rate per 100,000 inhabitants
Portland, Me, M,S,A
(Includes pan of Cumberland and
York Counties.)
City of Portland
2
6
2,7
66
93
8,0
Total area actually reporting
Rate per 100,000 inhabitants
Portland, Or, M.S,A
(Includes Clackamas. Multnomah,
Washington and Yamhill Counties.)
Total area actually reporting
Rate per 100,000 inhabitants
Portsmouth-Dover-Rochester, N,H,-
Me, M,S,A
(Includes Rockingham and Strafford
Counties, N.H., and York County,
Me.)
City of:
2
4
1,9
12
12
4.7
20
31
31
4.7
1
5
2.1
Total area actually reporting
Rate per 100,000 inhabitants
Poughkeepiie, N,Y, M,S,A
(Includes Dutchess County.)
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Providence, R,I. M.S,A
(Includes part of Bristol, Kent,
Newport, Providence and Washington
Counties.)
Total area actually reporting
Rate per 100.000 inhabitants
Provo-Orem, Ut. M,S,A
(Includes Utah County.)
City of:
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.
338
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Mclropoliun Slilislical Am
Population
Cnmc
Inde\
total
Modified
Crime
Index
total'
Violent
cnmc^
Propcny
cnmc'
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
auaull
Burglary
Larccny-
Ihcfl
Motor
vehicle
ihcft
Arson'
Pueblo, Co. M.S.A
(Includes Pueblo County.)
Cily of Pueblo
Total area actually rcponmg
Rale per 100.000 jnhabilanis
Racine, Wi. M.S.A
(Includes Racine County.)
128.240
102.148
100 0%
173,096
82,821
100 0%
658,620
182.750
115.344
99.6%
100.0%
76,294
52.614
100.0%
322,264
77,926
96.8%
100.0%
136,464
52.792
100.0%
234,545
115.320
100.0%
152,030
33.131
40.117
19.474
100.0%
826,626
222.113
40.607
100.0%
2,051,682
201.723
142.124
100.0%
229,357
103.966
100.0%
7.001
7.817
6.095.6
6.803
9.472
5.472.1
12.669
10,528
37.908
38.098
5.784.5
3.848
4.556
5.971.6
5.397
9.854
10.125
3.141.8
4.035
7.765
5.690. 1
9.806
15.186
6.474.7
1.513
3.560
2.587
9.472
6.230.3
18.564
3.121
41.954
5.075.3
16.953
15.931
152.951
7.454.9
7.594
11.119
4.847.9
969
1.075
838.3
700
802
463 3
1.124
711
2.696
2.717
412.5
245
314
411 6
624
878
901
2796
474
1.104
809.0
903
1.368
583.3
37
95
188
483
317.7
2.614
392
4.013
485.5
2.190
2.425
21.796
1.062.3
432
579
252,4
6.032
6.742
5.257.3
6.103
8.670
5.008.8
11.545
9.817
35.212
35.381
5.372.0
3.603
4.242
5.560.1
4.773
8.976
9,224
2,862.2
3.561
6.661
4.881,1
8,903
13,818
5,891.4
1,476
3,465
2,399
8,989
5,9126
15,950
2,729
37,941
4.589.9
14.763
13.506
131.155
6.392.6
7.162
10.540
4,595.5
7
8
6.2
4
8
4,6
15
14
52
52
7.9
1
1
1.3
10
18
18
5.6
3
13
9.5
12
16
6.8
4
9
17
11.2
78
6
118
14,3
17
35
241
11,7
16
18
7,8
64
94
73.3
95
103
59,5
78
70
205
206
31,3
47
63
82,6
43
65
66
20,5
43
74
54.2
115
202
86.1
;;
22
81
53.3
182
27
325
39.3
126
106
921
44 9
28
48
20.9
128
136
106.1
228
260
150.2
384
307
868
871
132.2
29
33
43.3
301
347
352
109.2
66
95
69.6
408
521
222.1
11
17
38
71
46.7
1,083
158
1.588
192.1
493
1.016
4.560
222.3
182
197
85.9
770
837
652.7
373
431
2490
647
320
1.571
1.588
241.1
168
217
284.4
270
448
465
144.3
362
922
675.6
368
629
268.2
9
59
119
314
206.5
1.271
201
1.982
239.8
1,554
1,268
16,074
7835
206
316
137,8
1.532
1,723
1,343.6
1.614
2.237
1.292,3
3.240
2.973
10.842
10.888
1.653.2
612
766
1,004,0
1,857
2.783
2,834
879.4
1.010
2.104
1.541,8
2,134
3,471
1,479.9
362
985
726
2.735
1,799.0
4,143
712
9.197
1,112.6
5,128
4,147
45,739
2,229,3
1,764
2,307
1.005.9
4.191
4,686
3,654.1
4.140
5.929
3,425.3
7.640
6.312
22.516
22,631
3,436.1
2,840
3,299
4,324.1
2,596
5,667
5,841
1,812.5
2,270
4.119
3.018.4
6,031
9,301
3,965.6
1,073
2,366
1,552
5,898
3,879.5
9,969
1,893
25,728
3.112.4
7,857
7,468
68,819
3,354.3
5.167
7,853
3,423.9
309
333
2597
349
504
291.2
665
532
1.854
1,862
282.7
151
177
232.0
320
526
549
170.4
281
438
321.0
738
1,046
446.0
41
114
121
356
234.2
1,838
124
3,016
364.9
1.778
1,891
16,597
808,9
231
380
165.7
Total area actually reporting
Rate per 100.000 inhabitants
Raleigh-Durham, N.C. M.S.A
(Includes Durham. Franklin. Orange
and Wake Counties )
City of
Raleigh
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Rapid Cit), S.D. M.S.A
(Includes Pennington County.)
City of Rapid City
Total area actually reporting
Rate per 100.000 inhabitants
Reading. Pa. M.S.A
(Includes Berks County.)
Citv of Readme
Total area actually repoiiing
Rale per 100.000 inhabitants
Redding, Ca. M.S.A
(Includes Shasta County.)
Citv of Reddine
Total area actually reporting
Rate per 100.000 inhabitants
Reno. Nv. M.S.A
(Includes Washoe County.)
City of Reno
Total area actually reporting
Rate per 100.000 inhabitants
Richland-Kennewick-Pasco, Wa.
M.S.A
(Includes Benton and Franklin
Counties.)
City of
Richland
Total area actually reporting
Rate per 100.000 inhabitants
Richmond-Petersburg, Va. M.S.A
(Includes Colonial Heights, Hopewell.
Petersburg and Richmond Cities and
Charles City. Chesterfield. Dinwiddie.
Goochland. Hanover, Henrico. New
Kent. Powhatan and Pnnce George
Counties.)
City of
Total area actually reporting
Rate per 100.000 inhabitants
Riverside-San Bernardino, Ca.
M.S.A.
(Includes Riverside and San
Bernardino Counties.)
City of:
San Bernardino
Total area actually reporting
Rate per 100.000 inhabitants
Roanoke, Va. M.S.A
(Includes Roanoke and Salem Cities.
and Botetourt and Roanoke Counties.)
City of Roanoke
Total area actually reporting
Rate per 100.000 inhabitants
Sec footnotes at end of table
339
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Melropolilan Slalistical Area
Population
Cnme
Index
total
Modified
Cnmc
Index
total'
Violenl
crime^
Propeny
crime'
Murder
and non-
neghgenl
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
Rochester, Mn. M.S.A
98,695
(Includes Olmsied County.)
City of Rochester
S8,S42
3,183
73
3,110
17
15
41
515
2.508
87
Total area actually reporting
Rate per 100,000 inhabitants
Rochester, N.Y. M.S.A
100.0%
3,673
92
3,581
21
18
53
704
2.762
115
3,721.6
93.2
3,628.3
21.3
18.2
53.7
713.3
2,798.5
116.5
981,111
(Includes Livingston, Monroe, Ontario,
Orleans and Wayne Counties.)
City of Rochester
236,672
23,187
2,493
20,694
29
165
1,021
1,278
5,418
14,093
1.183
Total area actually reporting
100.0%
47,229
3.499
43,730
36
292
1.301
1,870
9,462
32,358
1.910
Rate per 100.000 inhabitants
4.813.8
356.6
4,457.2
3.7
29.8
132.6
190.6
964.4
3.298.1
194.7
Sacramento, Ca. M.S.A
1,324,043
(Includes El Dorado, Placer,
Sacramento and Yolo Counties)
City of Sacramento
331,728
34,355
3,836
30,519
78
241
1,841
1,676
8,800
17.856
3,863
Total area actually reporting
100.0%
95,780
9,460
86,320
140
607
3,292
5,421
22,928
54.137
9,255
Rate per 100,000 inhabitants
7,233.9
714.5
6,519.4
10.6
45.8
248.6
409.4
1.731.7
4,088.8
699.0
Saginaw-Bay City-Midland, Ml.
M.S.A
405,571
(Includes Bay. Midland and Saginaw
Counties)
City of:
Saginaw
72,824
7,507
1,460
6.047
23
167
288
982
2.062
3,688
297
Bav Citv
39,894
2,365
195
2,170
1
31
28
135
418
1,673
79
"**/ ^"j '
Midland
36,065
1.601
34
1.567
4
14
16
174
1.362
31
Total area actually reporting
99.4%
21.444
2,461
18,983
34
324
450
1.653
4.427
13.711
845
Estimated total
100.0%
21.590
5,323.4
2,473
609.8
19,117
4,713.6
34
8.4
325
80.1
454
111.9
1.660
409.3
4.454
1,098.2
13.801
3,402.9
862
212.5
Rate per 100,000 inhabitants
St. Cloud, Mn. M.S.A
176,342
(Includes Benton, Sherburne and
Steams Counties.)
City of Saint Cloud
43,154
3,006
81
2,925
3
12
61
406
2,397
122
Total area actually reporting
100.0%
5,868
173
5,695
1
27
19
126
855
4,568
272
Rate per 100,000 inhabitants
3,327.6
98.1
3.229.5
.6
15.3
10.8
71.5
484.9
2,590.4
154.2
St. Joseph, Mo. M.S.A
86,427
(Includes Buchanan County.)
City of Saint Joseph
74,611
5,013
296
4,717
1
23
47
225
1,265
3,268
184
Total area actually reporting
100.0%
5,342
342
5,000
2
24
48
268
1,394
3,410
196
Rate per 100,000 mhabitants
6,180.9
395.7
5,785.2
2.3
27.8
55.5
310.1
1,612.9
3,945.5
226.8
St. Louis, Mo.-Il. M.S.A.*
2,465,116
(Includes St. Louis City and Franklin,
Jefferson, St. Charles and St. Louis
Counties, Mo., and Clinton, Jersey,
Madison, Monroe, and St. Clair
Counties, 11.)
City of Saint Louis
429.414
54,408
9,778
44,630
153
332
3,296
5,997
1 1,796
25,157
7,677
Total area actually reporting
94.5%
127,025
16,714
110.311
252
554
4,999
10,909
29,196
68,429
12.686
Estimated total
100.0%
130,676
17,016
113.660
256
574
5,043
11,143
30,116
70,605
12.939
Rate per 100,000 inhabitants
5,301.0
690.3
4,610.7
10.4
23.3
204.6
452.0
1,221.7
2.864.2
524.9
263,990
(Includes Marion and Polk Counties.)
City of Salem
94,838
9,319
316
9,003
2
54
203
57
2,082
6.488
433
Total area actually reporting
98.8%
17,977
1,015
16,962
13
107
306
589
4,198
11,904
860
Estimated total
100.0%
18,193
1,025
17,168
13
108
309
595
4,250
12,046
872
Rate per 100,000 inhabitants
6.891.5
388.3
6,503.3
4.9
40.9
117.0
225.4
1,609,9
4,563.1
330.3
Salinas-Seaslde-Monterey, Ca. M.S.A.
348,287
(Includes Monterey County.)
City of:
Salinas
99,411
7,726
884
6,842
7
52
192
633
1,739
4.689
414
Seaside
37,987
30.799
2.675
2.380
813
269
1,860
2,111
4
24
16
177
72
610
181
456
450
1,230
1.555
174
106
Monterey
Total area actually reporting
100.0%
18.818
2,628
16,190
15
145
538
1,930
4,386
10.776
1.028
Rate per 100,000 inhabitants
5,403.0
754.6
4,648.5
4.3
41.6
154.5
554,1
1,259.3
3,094.0
295.2
Salt Lake CIty-Ogden, Ut. M.S.A
1,050,591
(Includes Davis, Salt Lake and Weber
Counties.)
City of:
Salt Lake City
159,839
20,873
1.090
19,783
13
94
482
501
3,997
14.863
923
Ogden
68,086
6,649
276
6,373
6
49
92
129
1,052
5.053
268
Total area actually reporting
100.0%
71,463
3.060
68,403
38
286
825
1,911
12.369
53.351
2.683
Rate per 100,000 inhabitants
6.802.2
291.3
6,510.9
3.6
27.2
78.5
181.9
1,177.3
5.078.2
255.4
San Angelo, Tx. M.S.A
98.629
(Includes Tom Green County.)
City of San Angelo
86.813
5,174
345
4,829
8
16
33
288
1.252
3.444
133
Total area actually reporting
100.0%
5,733
418
5,315
II
19
39
349
1,445
3,725
145
Rale per 100,000 mhabitants
5.812.7
423.8
5,388.9
11.2
19.3
39.5
353.9
1,465.1
3.776.8
147.0
See footnotes at end of table.
340
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Melropolilin Staltslical Arra
San Antonio. Tx. M.S.A
(Includes Bc\ar. Comat and
Guadalupe Counties )
Cuy of San Anlonio
Total area actually reporting
Rate per 100.000 inhabitants
San Diego, Ca. M.S.A
(Includes San Diego County)
City of San Diego
Total area actually reporting
Rate per 100.000 inhabitants
San Francisco, Ca. M.S.A
(Includes Mann, San Francisco and
San Mateo Counties)
City of San Fi^ncisco
Total area actually reporting
Rate per 100.000 inhabitants
San Jo«. Ca. M.S.A
(Includes Santa Clara County.)
City of San Jose
Total area actually reporting
Rate per 100,000 inhabitants
Santa Barbara-Santa Maria-Lompoc,
Ca. M.S.A
(Includes Santa Barbara County )
City of
Santa Barbara
Santa Maria
Lompoc
Total area actually reporting
Rate per lOO.OCX) inhabitants
SanU Crui, Ca. M.S.A
(Includes Santa Cruz County.)
City of Santa Cruz
Total area actually reporting
Rate per 100,000 inhabitants
SanU Rosa-Petaluma, Ca. M.S.A
(Includes Sonoma County.)
City of
Santa Rosa
Petaluma
Total area actually reporting
Rate per 100.000 inhabitants
Sarasota, Fl. M.S.A
(Includes Sarasota County.)
City of Sarasota
Total area actually reporting
Rale per 100,000 inhabitants
Savannah, Ga. M.S.A
(Includes Chatham and Effingham
Counties.)
City of Savannah
Total area actually reporting
Rate per 100.000 inhabitants
Seattle, Wa. M.S.A
(Includes King and Snohomish
Counties.)
City of Seattle
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Sliaron, Pa. M.S.A
(Includes Mercer County.)
City of Sharon
Total area actually reporting
Rate per 100,000 inhabitants
Sheboygan, Wi. M.S.A
(Includes Sheboygan County.)
City of Sheboygan
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Sherman-Denison, Tx. M.S.A
(Includes Grayson County.)
City of:
Sherman
Denison
Total area actually reporting
Rate per 100.000 inhabitants
Population
1,283,681
IIO.IIS
I00.0<7r
2,256,942
1.040.851
100.0%
1,628,140
767.933
100.0%
1,437,028
730.079
100.0%
347,979
81,294
52,566
31,907
100.0%
224,022
47,050
100.0%
352,285
100.067
39,535
100.0%
251,542
53,036
100.0%
244,322
149,631
100.0%
1,780,288
494,426
99.8%
100.0%
124,087
16.214
100,0%
103,174
47.629
94.3%
100.0%
98,931
31.732
24,798
100.0%
Cnmc
Index
total
118.948
139,586
10.873.9
88.227
157.761
6,990.0
57.837
99,575
6.1159
36,518
69,736
4,852.8
4,312
4,287
1,987
17,021
4,891-4
4,830
14,219
6347.1
Modified
Cnmc
Index
total'
Violent
cnmc"
6,092
7,404
576.8
9.112
16,284
721.5
9,298
14,518
891.7
4,378
7,172
499 I
520
282
130
1,514
435.1
391
1,146
511.6
Properly
cnmc'
112.856
132.182
10.297 1
79,115
141.477
6.268.5
48.539
85.057
5,224.2
32.140
62,564
4,353.7
3.792
4.005
1.857
15,507
4,456.3
4,439
13,073
5,835.6
Murder
and non-
negligenl
man-
?>laughlcr
174
195
15.2
96
176
7.8
103
138
8.5
24
49
3.4
5
1
3
13
3.7
2
14
62
Forcible
rape
6568
444
6.124
2
2.000
209
1.791
2
17,354
1,453
15,901
19
4,9261
412.5
4,513.7
5.4
5,816
587
5,229
8
16821
1,572
15,249
16
6,687.2
624.9
6,062.2
64
11,704
1,040
10,664
24
16529
1,453
15.076
33
6765.3
594.7
6170.5
13.5
72,937
7.096
65,841
54
149,466
9,988
139.478
91
149,920
10.001
139.919
91
8.421.1
561.8
7.859.3
5.1
749
76
673
1
2.949
187
2.762
5
2,376.6
150.7
2.225.9
4.0
2.672
77
2.595
3,539
86
3.453
3,784
95
3.689
3,667.6
92.1
3.575.5
4,373
193
4.180
1
2,636
273
2.363
3
8,370
522
7.848
8
8,460.4
527.6
7.932.8
8 1
849
942
73.4
410
35.5
452
684
42.0
393
596
41.5
43
17
10
113
32.5
28
82
36.6
48
14
160
45.4
67
123
48.9
59
100
40.9
465
1.057
1,059
59.5
2
13
10.5
3
7
7
68
1
18
18.2
Robbery
3.253
3.461
269.6
3.452
5.421
240.2
4.654
5.604
344.2
944
1,516
105.5
107
85
28
272
78.2
111
271
121.0
143
31
286
81.2
238
349
138.7
603
702
287.3
2.959
3,821
3.825
214.9
17
34
27.4
10
II
13
12.6
81
44
136
137.5
Aggra-
vated
1.816
2.806
218.6
5.154
9.886
438.0
4.089
8,092
497.0
3,017
5,011
348.7
365
179
89
1,116
320.7
250
779
347.7
251
162
988
280.5
274
1.084
430.9
354
618
252.9
3,618
5,019
5,026
282.3
56
135
108.8
64
68
75
72.7
103
225
360
363.9
Burglary
33.041
39.116
3,047.2
17,370
35,214
1,560.3
9,642
16,849
1.034.9
6.434
12.450
866.4
809
991
460
3,421
983.1
1,022
3,696
1.649.8
1,509
533
4.694
1,332.4
1,540
4,214
1,675.3
3,363
4,708
1,927.0
17,254
37,875
38.053
2,137.5
205
664
535.1
433
605
647
627.1
970
611
2,149
2.172.2
Larceny-
Ihcfl
66198
77,875
6,066.5
43,590
76,583
3.393.2
31.172
57,369
3,523.6
22.259
44.565
3,101.2
2.543
2.819
1.299
10,996
3,160.0
3.161
8,545
3,814.4
4,203
1,170
10,185
2.891.1
3,424
10,349
4,114.2
6898
9,701
3,970.6
43,586
91,480
91.724
5,152.2
418
1,900
1,531.2
2,082
2,736
2,921
2,831.1
2.966
1.594
5,238
5,294.6
Molor
vehicle
llicfl
13,617
15,191
1,183.4
18,155
29,680
1,315.1
7.725
10,839
665.7
3,447
5.549
3861
440
195
98
1.090
313.2
256
832
371.4
1,022
290.1
265
686
272.7
403
667
273.0
5,001
10,123
10,142
569.7
50
198
159.6
80
112
121
117.3
244
158
461
4660
See footnotes at end of table.
341
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Mclropoljlan Stahslical Area
Population
Cnme
IndeR
lotal
Modified
Cnme
Index
lotal'
Violent
cnme-
Property
cnme'
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robl)ery
Aggra-
vated
assaull
Burglary
Larceny-
Ihefl
Molor
vehicle
Ihcfl
Arson'
Shreveport, La. M.S.A
361,336
(Includes Bossier, and Caddo
Parishes.)
City of Shreveport
218,407
23,306
2,126
21,180
40
113
653
1,320
5.926
14,349
905
Total area actually reporting
100,0%
30,178
2,738
27,440
47
174
718
1,799
7,627
18,578
1,235
Rate per 100.000 inhabitants
8,351,8
757.7
7,594.0
13.0
48.2
198.7
497.9
2,110.8
5,141 5
341.8
Sioux City, la-Nb. M.S.A
115,278
(Includes Woodbury County, la,, and
Dakota County, Nb.)
City of Sioux City
79,121
7,167
498
6,669
4
21
82
391
1,885
4,485
299
Total area actually reporting
100,0%
8,286
537
7,749
4
22
88
423
2,203
5,195
351
Rate per 100,000 inhabitants
7,187.8
465.8
6,722.0
35
19.1
76.3
366.9
1.911.0
4,506.5
304.5
Sioux Falls, S.D. M.S.A
123,009
(Includes Minnehaha County.)
City of Sioux Falls
97,608
4,163
201
3,962
1
39
32
129
780
3,045
137
Total area actually reporting
100,0%
4,404
215
4,189
2
42
32
139
872
3,165
152
Rate per 100,000 inhabitants
3,580.2
174.8
3,405.4
1.6
34.1
26.0
113.0
708.9
2,573.0
123.6
South Bend-Mishawaka, In. M,S.A....
242,602
(Includes St, Joseph County )
City of
South Bend
107,724
41,606
100.0%
12,031
3,371
17,916
710
241
1,060
11,321
3,130
16,856
11
2
16
110
20
145
336
42
403
253
177
496
3,598
620
4,812
7,251
2,293
11,193
472
217
851
Mishawaka
Total area actually reporting
Rate per 100,000 inhabitants
7,384.9
436.9
6,948.0
6.6
59.8
166.1
204.5
1,983.5
4,613.7
350.8
Spokane, Wa. M.S.A
362,938
(Includes Spokane County.)
City of Spokane
175,815
15,824
1,095
14,729
16
71
452
556
4,715
9,313
701
Total area actually reporting
96.3%
23,080
1,243
21,837
21
104
539
579
7,087
13,733
1,017
Estimated total
100.0%
24,474
1,285
23,189
22
111
550
602
7,634
14,481
1,074
Rate per 100,000 inhabitants
6,743.3
354.1
6,389.2
6.1
30.6
151.5
165.9
2.103.4
3,989.9
295.9
Springfield, II. M.S.A."
191,158
(Includes Menard and Sangamon
Counties.)
City of Springfield*
100,584
7,834
10
247
572
2.048
5,556
230
Total area actually reporting
98.1%
9,789
10
271
634
2,740
6,704
345
Estimated total
100.0%
9.946
5,203.0
10
5.2
275
143.9
641
335.3
2,774
1,451.2
6,813
3,564 1
359
187.8
Rate per 100,000 inhabitants
Springfield, Mo. M.S.A
226,946
(Includes Chnstian and Greene
Counties.)
City of Springfield
140,378
10,243
439
9,804
1
41
157
240
2,528
6,849
427
Total area actually reporting
100.0%
11.944
604
11,340
4
54
163
383
3,029
7,810
501
Rate per 100.000 inhabitants
5,262.9
266.1
4,9968
1.8
23.8
71.8
168.8
1,334.7
3,441.3
220.8
Springfield, Ma. M.S.A
528,445
(Includes part of Hampden and
Hampshire Counties.)
City of Springfield
150,002
10,609
2,392
8.217
8
156
628
1,600
3,438
3,342
1,437
Total area actually reporting
96.6%
23,276
3,437
19,839
14
254
799
2,370
6,444
9,989
3,406
Estimated total
100.0%
23,849
3,482
20,367
14
257
809
2,402
6,573
10,292
3,502
Rate per 100,000 inhabitants
4,513.1
658.9
3,854.1
2.6
486
153.1
454.5
1,243.8
1,947.6
662.7
Stamford, Ct. M.S.A
196,445
(Includes part of Fairfield County.)
City of Stamford
101,787
7,095
588
6,507
4
29
307
248
1,508
4,081
918
Total area actually reporting
100.0%
10,016
638
9,378
6
31
327
274
1,953
6,276
1,149
Rate per 100.000 inhabitants
5,098.6
324.8
4,773.9
3.1
15.8
1665
139.5
994.2
3,194.8
584.9
State College, Pa. M.S.A
115,051
(Includes Centre County.)
City of State College
44,705
1,933
27
1,906
1
11
5
10
185
1,689
32
Total area actually reporting
100.0%
4,378
109
4,269
1
26
21
61
676
3,497
96
Rate per 100.000 inhabitants
3,805.3
94.7
3,710.5
.9
22.6
18.3
53.0
587.6
3,039.5
83.4
Steubenville-Weirton, Oh.-W.V.
M.S.A
156,335
(Includes Jefferson County, Oh., and
Brooke and Hancock Counties, W V )
City of
Steuben ville
24,412
1,333
120
1,213
2
4
51
63
464
684
65
Weirton
23,361
100.0%
306
2,710
16
262
290
2,448
1
19
10
69
5
170
98
927
166
1,337
26
184
Total area actually reporting
4
Rale per 100.000 inhabitants
1,733.5
167.6
1,565.9
2.6
12.2
44 1
108.7
593.0
855.2
117.7
Stockton, Ca. M.S.A
443,637
(Includes San Joaquin County.)
City of Stockton
188,067
18,844
1,821
17,023
33
107
806
875
4,689
1 1,022
1,312
Total area actually reporting
100 0%
34,368
2!827
31,541
51
173
1,051
1.552
9.337
19,900
2,304
Rate per 100,000 inhabitants
7,746.9
637.2
7,109 6
11.5
390
236.9
349.8
2,104.6
4,4856
519.3
Syracuse, N.Y. M.S.A
651,333
(Includes Madison. Onondaga and
Oswego Counties.)
City of Syracuse
161,228
13,278
1,158
12,120
14
87
494
563
4,721
6,836
563
Total area actually reporting. ..
ioo!o%
28,206
1,638
26,568
24
169
595
850
8,002
17,501
1,065
Rale per 100,000 inhabitants
4,3305
251.5
4,0790
3.7
25.9
91 4
130.5
1,228.6
2,687.0
163.5
See fooinotes at end of table.
342
APPENDIX IV — Index of Crime. Metropolitan Statistical Areas, 1987 — Continued
Mclropolilan Sistivlical Area
Populfllton
Cnme
Index
tola!
Mndified
Cnme
Index
lolal'
Violent
cnme*
Propcrlv
cnme'
Murder
and non-
ncgligenl
man-
staughlcr
Forcible
rape
Robbery
Agjrii-
valcd
assault
Burglary
Larccny-
ihen
Molor
vehicle
Ihefl
Arson*
Tacoma. Wa. M.S.A
542.760
(Includ« Pitrcc County.)
Cily o( Tacoma
161.63')
23.674
2,381
21.293
24
240
781
1.336
5.561
13.548
1.184
Tolal area actually reporting
18.3%
42.809
3,816
38.993
33
482
1,088
2.213
12.852
23.981
2.150
Estimated total
100.0%
43.781
3,845
39.936
33
487
1,096
2.229
13,243
24.503
4.514.5
2.190
403-5
Rate per 100.000 inhabitants
8.066 4
708.4
7.357.9
6 1
89.7
201 9
4107
2,439.9
Tallahassee, Fl. M.S.A
224,500
(Includes Gadsden and Leon
Counties.)
City of Tallahassee
123.012
14.261
1,515
12.746
8
96
429
982
3.508
8.352
786
Total area actually reporting
100.0%
19.847
2,289
17.558
22
166
546
1,555
5.130
11.415
1,013
Rate per 100.000 mhabitants
8,840.5
1,019.6
7.820.9
9.8
73.9
243.2
692.7
2.285.1
5.084.5
451.2
Tampa-St. Petersburg-aearwater, F\.
MS.A
1,971,274
(Includes Hernando. Hillsborough.
Pasco and Pinellas Counties.)
City of:
Tampa
285,856
49.350
8,899
40,451
61
297
3,427
5.114
13,245
24.261
2,945
Saint Petersburg
246.548
26.500
3,729
22.771
28
157
1,567
1.977
7.526
14.124
1,121
Clearwater
100.428
8.511
830
7,681
5
52
243
530
1.943
5^330
408
Total area actually reporting
100,0%
166.553
20.825
145,728
149
949
7.080
12.647
44.775
92,070
8,883
Rale per 100.000 inhabitants
8.449.0
1.056.4
7.392.6
7.6
48.1
359.2
641,6
2.271.4
4,570.6
450.6
Texarkana, Tx.-Texarkana, Ar.
M.S.A
120,590
(Includes Bowie County. Tx . and
Miller County. Ar )
City of:
Texarkana. Tx
33.342
22.395
100.0%
3.756
3.244
8.930
262
267
671
3.494
2,977
8,259
6
1
II
20
21
59
72
86
177
164
159
424
1.076
665
2.373
2.271
2.203
5.505
147
109
381
Texarkana. Ar
Total area actually reporting
Rate per 100.000 mhabitants
7,405.3
556.4
6.848.8
9.1
48.9
146.8
351,6
1.967.8
4.565.1
315.9
Toledo, Oh. M.S.A
612,642
(Includes Fulton. Lucas and Wood
Counties.)
City of Toledo
344.963
29.356
2.767
26,589
33
360
1,299
1.075
6.954
15.735
2,889
Total area actually reporting
96.0%
39.050
3.189
35.861
44
417
1.385
1.343
8.923
23.589
3,349
Estimated total
100.0%
40.065
3.248
36.817
45
422
1.402
1.379
9.104
24,285
3,427
Rate per 100.000 inhabitants
6.539.7
5302
6.009 5
7.3
68.9
228.8
225,1
1,486.0
3.954 1
559.4
Topeka, Ks. M.S.A
177,921
(Includes Shawnee County.)
Cily of Topeka
119,331
10.941
881
10.060
4
71
261
545
2.866
6.795
399
Tolal area actually reporting
99.4%
12,049
943
11.106
5
76
269
593
3,258
7,395
453
Estimated total
100.0%
12.105
946
11.159
5
75
270
595
3,268
7,435
456
Rale per 100.000 inhabitants
6.803.6
531.7
6.271.9
2.8
42.7
151.8
334.4
1,836.8
4.178.8
256.3
Trenton, N.J. M.S.A
323,042
(Includes Mercer County.)
City of Trenton
91.783
11.615
2.185
9.430
12
91
1,061
1.021
2,842
4.532
2,056
Total area actually reporting
100-0%
22,809
2.536
20.273
18
119
1,221
1.178
5,230
12.019
3,024
Rale per 100.000 inhabitants
7.060 7
7850
6.2757
5.6
36.8
378.0
364.7
1,619.0
3.720.6
936.1
Tucson, Az. M.S.A
620,086
(Includes Pima County.)
City of Tucson
374.546
42.316
3.523
38.793
23
281
911
2.308
7,954
28.888
1,951
Total area actually reporting
100.0%
55.180
4,467
50,713
38
367
1,065
2.997
11.038
37.130
2,545
Rale per 100.000 inhabitants
8,898.8
720-4
8.178.4
6.1
59.2
171.8
483.3
1.7801
5.987.9
410.4
Tulsa, Ok. M.S.A
726,045
(Includes Creek. Osage. Rogers. Tulsa
and Wagoner Counties)
Chy of Tulsa
369.961
36,513
3.129
33.384
35
234
1,074
1.786
9.504
18.322
5.558
Tolal area actually reporting
99 9%
48.549
3.926
44.623
58
311
1.202
2.355
13.262
24.535
6.826
Estimated total
100.0%
48,585
6.691 7
3,927
540.9
44.658
6.150 9
58
8.0
311
42.8
1,202
165-6
2.356
324.5
13.272
1.828.0
24.557
3.382-3
6.829
940.6
Rale per 100.000 inhabitants
Tuscaloosa, Al. M.S.A
142,330
(Includes Tuscaloosa County.)
Cily of Tuscaloosa
74.389
6.106
1.046
5.060
9
44
128
865
1.398
3.326
336
Total area actually reporting
100.0%
8.895
1.704
7,191
15
51
173
1.465
1.904
4.848
439
Rate per 100.000 inhabitants
6.249.6
1,197.2
5.052.3
10-5
358
121 5
1.029.3
1.337.7
3.405.2
308.4
Tyler, Tx. M.S.A
153,026
(Includes Smith County.)
City of Tyler
75.924
9.947
558
9.389
9
60
149
340
2.592
5.337
460
Total area actually reporting
100 0%
12.742
724
12.018
19
80
174
451
3.590
7.778
550
Rate per 100.000 inhabitants
8.326.7
473.1
7.853,6
12.4
52.3
113-7
294.7
2.345.0
5.082-8
424.8
Utica-Rome, N.Y. M.S.A
316.339
(Includes Herkimer and Oneida
Counties.)
City of:
L'tica
69.647
2.669
176
2.493
5
12
120
39
1.045
1,273
175
Rome
42.155
1.349
47
1.302
2
2
22
21
434
867
1
Total area actually reporting
99.0%
8.441
451
7.990
11
50
165
225
2.658
5.070
262
Estimated tolal
100.0%
8.550
2,702.8
459
145,1
8.091
2.557.7
11
3.5
50
15.8
168
53.1
230
72.7
2.680
847.2
5.141
1.625-2
270
85.4
Rate per 100.000 inhabitants
See footnotes at end of table.
343
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Melropolltan Slatislical Area
Population
Crime
Index
tola]
Modincd
Cnme
Index
total'
Violent
cnme"
Property
cnme
Murder
and non-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
valed
as&aull
Burglary
Larceny-
Ihefl
Motor
vehicle
thefl
Arson'
Vallejo-FairHeld-Napa, Ca. M.S.A
402,217
(Includes Napa and Solano Counties.)
City of:
Vallejo
95,617
10.448
2.357
8,091
15
48
430
1,864
2,437
4,798
856
Faiifield
70,488
58,195
5,391
4,011
461
497
4.930
3,514
2
27
19
109
32
323
446
873
855
3,694
2,475
363
184
Napa
Total area actually repoiling
100.0%
27,189
4.186
23,003
31
156
695
3,304
5,908
15,203
1,892
Rale per 100,000 inhabitants
6,759.8
1,040.7
5,719.1
7,7
38,8
172,8
821.4
1.468.9
3.779,8
470.4
Vancouver, Wa. M.S.A
217,336
(Includes Clark County.)
City of Vancouver
44,673
3,653
286
3,367
3
50
85
148
971
2,154
242
Total area actually reporting
100.0%
11,584
532
11,052
6
97
171
258
3,506
6.807
739
Rate per 100,000 inhabitants
5.330.0
244.8
5,085.2
2.8
44,6
78,7
118.7
1,613.2
3,132,0
340.0
Victoria, Tx. M.S.A
76,487
(Includes Victoria County.)
City of Victoria
57,003
4,784
434
4,350
3
19
57
355
1,265
2,935
150
Total area actually reporting
100.0%
5,376
479
4,897
4
25
59
391
1,469
3,250
178
Rate per 100,000 inhabitants
7,028.6
6263
6,402.4
5.2
32,7
77,1
511.2
1,920.6
4,249,1
232.7
VIneland-MllMlle-Bridgeton, N.J.
M.S.A
136,285
(Includes Cumberland County.)
City of:
Vineland
54,007
25,503
18,747
4,280
1,592
1,401
396
146
203
3.884
1.446
1.198
36
24
10
105
42
52
255
79
140
984
481
365
2,597
879
782
303
86
51
T tilVimtU .>>k«llkllll|i|l|llllli>*V»**lr'.''
Millville
1
1
Bridgeton
Total area actually reporting
98.2%
8,357
861
7.496
3
87
212
559
2,216
4,781
499
Estimated total
100.0%
8,462
6.209.0
869
637.6
7,593
5,571.4
3
2.2
88
64.6
215
157,8
563
413.1
2.236
1,640.7
4.843
3,553.6
514
377.2
Rate per 100,000 inhabitants
VIsalla-Tulare-Portervllle, Ca.
M.S.A
294,562
(Includes Tulare County.)
City of;
Visalia
63,106
27,498
25,089
100.0%
5,093
1,318
3,323
18,062
437
206
164
2,035
4,656
1,112
3,159
16,027
4
1
4
34
32
15
12
101
139
51
64
403
262
139
84
1,497
1,278
581
1,459
5,688
3.059
442
1,512
9.370
319
89
188
969
Tulare
Porterville
Total area actually reporting
Rate per 100,000 inhabitants
6,131.8
690.9
5,441.0
11.5
34.3
136.8
508.2
1,931.0
3,181.0
329.0
Waco, Tx. M.S.A
188,803
(Includes McLennan County.)
City of Waco
105.895
12.223
962
11,261
25
67
264
606
3,646
7,150
465
Total area actually reporting
100.0%
16.571
1.116
15,455
29
82
308
697
5,128
9,663
664
Rate per 100.000 inhabitants
8,776.9
591.1
8,185.8
15.4
43.4
163,1
369.2
2,716.1
5,118.0
351.7
Washington, D.C.-Md.-Va. M.S.A
3,611,655
(Includes District of Columbia;
Calvert, Charles, Frederick,
Montgomery and Prince Georges
Counties, Md., Alexandria. Fairfax,
Falls Church, Manassas and Manassas
Park Cities, and Arlington. Fairfax.
Loudoun, Prince William and Stafford
City of Washington
622,000
52,519
10,016
42,503
225
245
4,462
5,084
11.241
24.965
6.297
Total area actually reporting
100.0%
190,062
22,272
167,790
367
1,073
9,210
11.622
36.790
108.164
22.836
Rate per 100,000 inhabitants
5,262.5
616.7
4,645.8
10.2
29,7
255,0
321.8
1,018,6
2,994.9
632.3
Waterbury, Ct. M.S.A
179,062
(Includes pari of Litchfield and New
Haven Counties.)
City of Waterbury
103.015
7,723
474
7.249
7
37
245
185
1,908
4.634
707
Total area actually reporting
100.0%
9.455
591
8.864
8
43
260
280
2,305
5.736
823
Rate per 100,000 inhabitants
5,280.3
330,1
4.950,2
4,5
24,0
145,2
156.4
1,287,3
3,203.4
459.6
Waterloo-Cedar Falls, la. M.S.A
150,607
(Includes Black Hawk and Bremer
Counties.)
City of
Waterloo
69,597
4,240
309
3.931
1
18
66
224
1.289
2.555
87
Cedar Falls
33,004
100.0%
1,087
6,457
17
465
1.070
5,992
1
1
19
4
72
12
373
233
1,741
802
4,107
35
144
Total area actually reporting
Rate per 100.000 inhabitants
4.2873
308.8
3,978,6
,7
126
47,8
247,7
1,156.0
2.7270
956
Wausau, Wl. M.S.A
132,660
(Includes Marathon County.)
City of Wausau
32,389
2,020
86
1.934
2
14
70
429
1,461
44
Total area actually reporting
100.0%
4,575
148
4,427
7
9
18
114
938
3,359
130
Rale per 100,000 inhabitants
3,448,7
111,6
3,337,1
5,3
6,8
13,6
85,9
707,1
2,532.0
98,0
Sec footnotes at end of table.
344
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Statistical Area
Population
Crime
Index
Iota!
Modified
Crime
Index
total'
Violent
crime"
Property
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
thefl
West Palm Buch-Boc*
Ratoii-Delniy B«ach, Fl. M.S.A
(Includes Palm Beach County.)
City of:
West Palm Beach
Boca Raton
Del ray Beach
Total area actually repelling
Rate per 100.000 inhabitants
Whetling, W.V.-Oh. M.S.A
(Includes Marshall and Ohio Counties,
W V . and Belmont County. Oh.)
City of Wheeling
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Wichita, Ks. M.S.A
(Includes Butler and Sedgwick
Counties.)
City of Wichita
Total area actually reporting
Estimated total
Rale per 100.000 inhabitants
Wichiu Falls, Tx. M.S.A
(Includes Wichita County.)
City of Wichita Falls
Total area actually reporting
Rate per 100.000 inhabitants
Wilmington, N.C. M.S.A
(Includes New Hanover County.)
City of Wilmington
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Worcester. Ma. M.S.A
(Includes pan of Worcester County.)
City of Worcester
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Yakima, Wa. M.S.A
(Includes Yakima County.)
City of Yakima
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
York, Pa. M.S.A
(Includes Adams and York Counties.)
City of York
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Youngstown-Warrcn, Oh. M.S.A
(Includes Mahoning and Trumbull
Counties.)
City of:
Youngslown
Warren
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Yubi City, Ca. M.S.A
(Includes Sutter 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
Rate per 100,000 inhabitants
Caguas, Puerto Rico M.S.A
Total area actually reporting
Rate per 100.000 inhabitants
778,129
70,614
60,255
45.672
100,0%
178,098
39,358
94.8%
100,0%
443,282
290.702
99.3%
100.0%
127,915
100.581
100.0%
115,567
55,130
99.1%
100.0%
412,899
158.395
93.2%
100.0%
186,300
50,205
99.0%
100.0%
399,366
44,605
99.0%
100.0%
519,605
15.007
3.326
5.502
76,491
9.830.1
1,031
2,875
3,260
1,830.5
24,843
29.289
29.432
6,639.6
8,983
9,945
7.774.7
6.297
9.484
9.553
8,266.2
10.908
15.031
15,933
3,858.8
7,522
15.456
15,645
8,397.7
3,125
10,822
10,930
2.736.8
108,364
7,091
54,218
3.168
85.8%
16,971
100.0%
20.043
3.857.4
117,086
22.105
2,794
100.0%
8,645
7.383.5
,555,104
100.0%
68,596
4,411.0
275,753
100.0%
7.027
2,548.3
1.907
199
559
7,979
1.025.4
120
194
216
121.3
1,566
1.911
1,919
432.9
654
744
581.6
477
694
701
606.6
1,463
1,765
1,836
444.7
457
866
872
468.1
250
540
550
137.7
1.208
489
2,069
2,246
432.3
501
1,703
1,454.5
15.126
972.7
1,599
579.9
13,100
3.127
4,943
68.512
8.804,7
911
2,681
3,044
1.709.2
23.277
27.378
27,513
6.206.7
8,329
9,201
7,193.1
5,820
8,790
8,852
7.659.6
9.445
13.266
14.097
3.414.2
7,065
14,590
14,773
7.929.7
2.875
10.282
10.380
2,599.1
5,883
2,679
14,902
17,797
3,425.1
2.293
6,942
5.929.0
53,470
3,438.4
5,428
1.968.4
24
31
31
7.0
13
15
11.7
13
13
13
3.1
3
25
25
13.4
2
11
9.4
325
20.9
28
10.2
63
10
28
453
582
240
279
280
63.2
71
77
60.2
28
47
47
40.7
83
112
117
28.3
31
90
91
48.8
22
63
64
16.0
51
67
127
141
27.1
5
39
33.3
262
16.8
39
14.1
1,015
99
217
2.663
342.2
66
84
90
505
591
627
628
141.7
265
272
212.6
202
226
227
196.4
515
572
588
142.4
178
264
266
142.8
143
196
198
49.6
351
148
567
618
118.9
23
86
73.5
11,053
710.8
898
325.7
796
87
310
4,771
613.1
48
95
109
61.2
711
974
980
221.1
305
380
297.1
240
412
418
361.7
852
1,068
1.118
270.8
245
487
490
263,0
268
275
68.9
786
269
1,348
1,458
280.6
471
1,567
1,338.3
3,486
224.2
634
229.9
4,794
969
1,554
22,025
2.830.5
378
780
849
476.7
5,601
6,805
6,831
1.541.0
2.533
2.892
2,260.9
1,729
2.598
2,615
2.262.8
3,252
4,460
4,663
1,129.3
1,978
4,675
4,749
2.549.1
927
2.587
2,607
652.8
2.356
1,133
4,863
5,412
1,041.6
415
2,068
1,766.2
19,859
1,277.0
2,761
1.001.3
6,292
1.922
3,013
39,448
5.069.6
439
1,686
1.950
1,094.9
16,326
19,019
19,121
4.313.5
5.325
5,784
4,521.8
3.818
5.757
5.799
5,017.9
5,021
7,231
7,708
1.866.8
4,811
9,282
9,383
5,036.5
1,805
7.235
7.304
1,828.9
2,315
1.277
7,668
9,777
1,881.6
1,713
4,38!
3,745.1
19.070
1.226.3
1,909
692.3
2,014
236
376
7,039
904.6
94
215
245
137.6
1,350
1,554
1,561
352.1
471
525
410.4
273
435
438
379.0
1,172
1,575
1.726
418.0
276
633
641
344.1
143
460
469
117.4
1,212
269
2,371
2,608
501.9
163
489
417.6
14.541
935.1
758
274.9
See footnotes at end of table.
345
APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1987 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Niodined
Cnmc
Index
total'
Violent
cnme^
Property
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Ihefl
Motor
vehicle
theft
Arson'
Mayaguez, Puerto Rico M.S.A
Total area actually repomng
Rate per 100.000 inhabitants
Ponce, Puerto Rico M.S.A
Total area actually reporting
Rate per 100.000 inhabitants
211.116
100 0%
233,975
100,0%
6.155
2,915.5
8,490
3,628.6
1,065
504.5
2,045
874.0
5,090
2,411.0
6,445
2,754.6
25
11,8
40
17,1
25
11,8
34
14.5
406
192,3
1,185
506,5
609
288,5
786
335.9
2,561
1,213.1
2,561
1.094 6
1,879
890.0
3,217
1,374.9
650
307.9
667
285,1
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Arson data for individual cities are
shown in Table 6.
'Violent crimes arc 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 slate-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were not m accordance
with national UCR guidelines. Therefore, the figures were excluded from the forcible rape, violent crime, and Cnme Index total categones
346
APPENDIX V
DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Alabama Criminal Justice Information Center
858 South Court Street
Montgomery, Alabama 36130
(205) 832-4930
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 Pago, Tutuila
American Samoa 96799
Uniform Crime Reporting
Arizona Department of Public Safety
Post Office Box 6638
Phoenix, Arizona 85005
(602) 262-8066
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) 739-5173
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) 238-6594
State Bureau of Identification
Post Office Box 430
Dover, Delaware 19901
(302) 736-5875
Data Processing Division
Metropolitan Police Department
300 Indiana Avenue, Northwest
Washington, D.C. 20001
(202) 727-4301
347
APPENDIX V — DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS — Continued
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Iowa
Kansas
Kentucky
Maine
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) 244-2606
Territory of Guam
Guam Police Department
Planning and Research Division
Pedro's Plaza
287 West O'Brien Drive
Agana, Guam 96910
Hawaii Criminal Justice Information Data Center
Department of the Attorney General
First Floor
Kekuanao'a Building
465 South King Street
Honolulu, Hawaii 96813
(808) 548-2090
Criminal Identification Bureau
Department of Law Enforcement
6062 Corporal Lane
Boise, Idaho 83704
(208) 334-3889
Bureau of Identification
Illinois Department of 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) 281-6278
Kansas Bureau of Investigation
1620 Southwest Tyler Street
Topeka, Kansas 66612
(913) 232-6000
Records Section
Kentucky State Police
New State Office Building
Frankfort, Kentucky 40601
(502) 227-8717
Uniform Crime Reporting Division
Maine State Police
Station 42
36 Hospital Street
Augusta, Maine 04333
(207) 289-2296
348
APPENDIX V — DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS — Continued
Maryland
Massachusetts
Michigan
Minnesota
Montana
Nebraska
New Hampshire
New Jersey
New York
North Carolina
Criminal Records — Central Repository
Maryland State Police Headquarters
Pikesville, Maryland 21208
(301) 653-4462
Criminal History Systems Board
1010 Commonwealth Avenue
Boston, Massachusetts 02215
(617) 727-0090
Uniform Crime Reporting Section
Michigan State Police
7150 Harris Drive
Lansing, Michigan 48913
(517) 322-1150
Criminal Justice Information Systems
1246 University Avenue
St. Paul, Minnesota 55104
(612) 642-0670
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 Reporting
Record and License Unit
New Hampshire State Police
Hazen Drive
Concord, New Hampshire 03305
(603) 271-2535
Uniform Crime Reporting
Division of State Police
Post Office Box 7068
West Trenton, New Jersey 08625
(609) 882-2000
Statistical Services
New York State Division of Criminal Justice Services
Executive Park Tower
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
349
APPENDIX V — DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS — Continued
North Dakota
Oklahoma
Oregon
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
Texas
Utah
Vermont
Criminal Justice Training and Statistics Division
Attorney General's Office
State Capitol Building
Bismarck, North Dakota 58505
(701) 224-2594
Uniform Crime Reporting Section
Oklahoma Bureau of Investigation
Post Office Box 11497
Oklahoma City, Oklahoma 73136
(405) 427-5421
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 17120
(717) 783-5536
Superintendent
Puerto Rico Police
G.P.O. Box 70166
San Juan, Puerto Rico 00936
(809) 793-1234
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) 737-9061
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
Support Services
Vermont Department of Public Safety
Post Office Box 189
Waterbury, Vermont 05676
(802) 244-8786
350
APPENDIX V — DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS — Continued
Virginia
Virgin Islands
Washington
West Virginia
Wisconsin
Wyoming
Records and Statistics Division
Department of State Police
Post Omce Box 27472
Richmond, Virginia 23261
(804) 674-2023
Records Bureau
Department of Public Safety
Post Office Box 210
Charlotte Amalie
St. 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) 459-6386
Uniform Crime Reporting Program
725 Jefferson Road
South Charleston, West Virginia 25309
(304) 746-2159
Wisconsin Council on Criminal Justice
Suite 1000
30 West Mifflin Street
Madison, Wisconsin 53702
(608) 266-3323
Uniform Crime Reporting
Criminal Justice Information Section
Division of Criminal Investigation
316 West 22nd Street
Cheyenne, Wyoming 82002
(307) 777-7625
•U.S. C.P.O. 1988- 202-04'* I 81 050
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