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Full text of "Uniform crime reports for the United States"

L.S. Department of Justice • 

Federal Bureau of Investigation 




1 




Uniform Crime Reports 


Release Date 
Sunday 
July 10, 1988 




1987 



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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 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 






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 


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 


-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 Ju n 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% 



♦ 
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 
100.0 
100 


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 -^ 



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 


+ 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 


-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 


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 

+ 


511,736 

527,143 

+ 3 


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 

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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oil 



tan area 
assault, 
d arson 
rates w 


l?".? 


one 


- nl-o 


'l"i 








'".:« 


es. 

gencies 

obbery 

molo 

e near 


g " '-c^ 


nt age 
emenI 
• rape 
ny-lh« 
ed 10 




cent 

nfor 
rcib 
tar 
oun 




= !■:■&£ 


:;--s?* 




-if = 1 


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y and c 
Tenses 
offenses 
lalion fi 






Isg-^ 


2 -S " 8 , 


tlili 






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S^ffS 



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 



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 
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 


1,740 
] 3 


1,490 
1 1 


6,783 
5.1 


Percent 


100 


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 


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 


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